commit 6125d4f98085cb3f0e31936bd38b2288632bb7a4 Author: wehub-resource-sync Date: Mon Jul 13 13:03:09 2026 +0800 chore: import upstream snapshot with attribution diff --git a/.bh.ps1 b/.bh.ps1 new file mode 100644 index 0000000..f2d1ed9 --- /dev/null +++ b/.bh.ps1 @@ -0,0 +1,19 @@ +param( + [string]$HostName = "127.0.0.1", + [int]$Port = 7860, + [int]$Timeout = 90 +) + +for ($i = 1; $i -le $Timeout; $i++) { + try { + $tcp = [System.Net.Sockets.TcpClient]::new() + $tcp.Connect($HostName, $Port) + $tcp.Close() + Start-Process "http://${HostName}:$Port/" + exit 0 + } + catch { + Start-Sleep -Seconds 1 + } +} +exit 0 \ No newline at end of file diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..de81a94 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,17 @@ +.git +.cache +*.pyc +__pycache__ +python_env +ebook2audiobook.egg-info +dockerfiles +Notebooks +assets +legacy +audiobooks/cli/* +audiobooks/gui/gradio/* +audiobooks/gui/host/* +models/* +tools +tmp/* +run/* \ No newline at end of file diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 0000000..86a538f --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1,3 @@ +ko_fi: athomasson2 +custom: + - "https://secure.job-currency.com/boss/merchant_receive.lol?x=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~~" diff --git a/.github/ISSUE_TEMPLATE/CPU_Bug_Report.md b/.github/ISSUE_TEMPLATE/CPU_Bug_Report.md new file mode 100644 index 0000000..3cad663 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/CPU_Bug_Report.md @@ -0,0 +1,29 @@ +--- +name: CPU Bug report +about: Info requested for each issue +title: 'Issue Report' +labels: 'Issue Report' +assignees: '' + +--- + +**BEFORE TO OPEN AN ISSUE, MAKE SURE THAT IT HASN'T ALREADY BEEN SOLVED OR REPORTED. :)** +**Check it with the issue search field** + +**IMPORTANT: DON'T COPY/PASTE ANY A.I. SOLUTION OR YOUR ISSUE WILL BE IMMEDIATELY CLOSED WITHOUT NOTICE** + +**Operating System:** + - Windows, Linux, MacOS + +**Script Mode** +- Native, Docker + +**Ebook2Audiobook Version** +- v25.12.4 + +**Process Mode** +- Gradio, Headless + +**Terminal log** +Provide the full terminal log from the command line to the end. +Don't copy/paste the log as a comment, attach it as a file. diff --git a/.github/ISSUE_TEMPLATE/Feature_Request.md b/.github/ISSUE_TEMPLATE/Feature_Request.md new file mode 100644 index 0000000..27aa331 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/Feature_Request.md @@ -0,0 +1,19 @@ +--- +name: Feature request +about: New Feature +title: 'Request a feature' +labels: 'Feature Request' +assignees: '' + +--- + +**BEFORE TO OPEN A NEW FEATURE REQUEST, MAKE SURE IT HASN'T ALREADY BEEN CREATED. :)** +**Check it with the issue search field or in Discussions thumbnail** + +**IMPORTANT: DON'T COPY/PASTE ANY A.I. SOLUTION OR YOUR ISSUE WILL BE IMMEDIATELY CLOSED WITHOUT NOTICE** + +**Describe the feature** +A clear and concise description of what you need. + +**Screenshot schema or code** +Provide a maximum of elements to help us to understand and create this new feature diff --git a/.github/ISSUE_TEMPLATE/GPU_Bug_Report.md b/.github/ISSUE_TEMPLATE/GPU_Bug_Report.md new file mode 100644 index 0000000..a08c3a2 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/GPU_Bug_Report.md @@ -0,0 +1,28 @@ +--- +name: GPU Bug report +about: Info requested for each issue +title: 'Issue Report' +labels: 'Issue Report' +assignees: '' + +--- + +**To report an issue here, thanks to respect strictly the process +**or this issue will become too big and unreadable. + +**IMPORTANT: DON'T COPY/PASTE ANY A.I. SOLUTION OR YOUR ISSUE WILL BE IMMEDIATELY CLOSED WITHOUT NOTICE** + +1)**Operating System:** + - Windows, Linux, MacOS + +2)**Hardware and Model** + - CUDA, ROCM, XPU, MPS + - Nvidia RTX Pro 600 etc... + +3)**Script Mode** +- Native, Docker + +4)**Full Terminal log As Attached File** +- from the command line run to start E2A until the end. Attach the log file, don't copy/paste it as a comment. + +**We don't need other comments or suggestions. We will ask to you if we need it thanks. \ No newline at end of file diff --git a/.github/languages.yml b/.github/languages.yml new file mode 100644 index 0000000..88bcdb1 --- /dev/null +++ b/.github/languages.yml @@ -0,0 +1,53 @@ +languages: + - code: ar # Arabic + name: Arabic (ara) + - code: zh-CN # Chinese (Simplified) + name: Chinese (zho) + - code: en # English + name: English (eng) + - code: es # Spanish + name: Spanish (spa) + - code: fr # French + name: French (fra) + - code: de # German + name: German (deu) + - code: it # Italian + name: Italian (ita) + - code: pt # Portuguese + name: Portuguese (por) + - code: pl # Polish + name: Polish (pol) + - code: tr # Turkish + name: Turkish (tur) + - code: ru # Russian + name: Russian (rus) + - code: nl # Dutch + name: Dutch (nld) + - code: cs # Czech + name: Czech (ces) + - code: ja # Japanese + name: Japanese (jpn) + - code: hi # Hindi + name: Hindi (hin) + - code: bn # Bengali + name: Bengali (ben) + - code: hu # Hungarian + name: Hungarian (hun) + - code: ko # Korean + name: Korean (kor) + - code: vi # Vietnamese + name: Vietnamese (vie) + - code: sv # Swedish + name: Swedish (swe) + - code: fa # Persian + name: Persian (fas) + - code: yo # Yoruba + name: Yoruba (yor) + - code: sw # Swahili + name: Swahili (swa) + - code: id # Indonesian + name: Indonesian (ind) + - code: sk # Slovak + name: Slovak (slk) + - code: hr # Croatian + name: Croatian (hrv) \ No newline at end of file diff --git a/.github/scripts/.gitkeep b/.github/scripts/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/.github/workflows/Build-Torchcodec-aarch64.yml b/.github/workflows/Build-Torchcodec-aarch64.yml new file mode 100644 index 0000000..86cbee9 --- /dev/null +++ b/.github/workflows/Build-Torchcodec-aarch64.yml @@ -0,0 +1,273 @@ +name: Build torchcodec aarch64 wheel +# Produces: torchcodec-0.11.1+cpu-cp312-cp312-manylinux_2_28_aarch64.whl +on: + workflow_dispatch: + inputs: + torchcodec_ref: + description: 'torchcodec git ref (tag/branch/sha)' + type: string + default: 'v0.11.1' + torch_version: + description: 'torch ABI to link against (must be 2.11.x for torchcodec 0.11.x)' + type: string + default: '2.11.0' + smoke_ffmpeg_version: + description: 'ffmpeg version to install for the import smoke test (any 4-8)' + type: string + default: '6.1.1' + build_version: + description: 'BUILD_VERSION stamp for the wheel' + type: string + default: '0.11.1+cpu' + attach_to_release: + description: 'Attach wheel to the latest release (else artifact only)' + type: boolean + default: false +jobs: + build: + runs-on: ubuntu-24.04-arm + timeout-minutes: 90 + container: + image: quay.io/pypa/manylinux_2_28_aarch64 + steps: + - name: Set up Python 3.12 + run: echo '/opt/python/cp312-cp312/bin' >> "$GITHUB_PATH" + + - name: Install build tools + run: | + dnf install -y \ + git cmake ninja-build pkgconfig \ + yasm nasm \ + zlib-devel bzip2-devel xz-devel + + - name: Cache smoke-test ffmpeg + id: cache-ffmpeg + uses: actions/cache@v4 + with: + path: /opt/ffmpeg + key: ffmpeg-${{ inputs.smoke_ffmpeg_version }}-manylinux_2_28-aarch64-v1 + + - name: Build smoke-test ffmpeg ${{ inputs.smoke_ffmpeg_version }} + if: steps.cache-ffmpeg.outputs.cache-hit != 'true' + run: | + # Used only at smoke-test time so torchcodec's runtime dlopen probe + # finds something. Not linked into the wheel itself; that's handled + # by BUILD_AGAINST_ALL_FFMPEG_FROM_S3 fetching all 5 ffmpeg majors. + curl -fL "https://ffmpeg.org/releases/ffmpeg-${{ inputs.smoke_ffmpeg_version }}.tar.xz" \ + -o ffmpeg.tar.xz + tar xf ffmpeg.tar.xz + cd "ffmpeg-${{ inputs.smoke_ffmpeg_version }}" + ./configure \ + --prefix=/opt/ffmpeg \ + --enable-shared \ + --disable-static \ + --disable-doc \ + --disable-programs \ + --disable-network \ + --disable-encoders \ + --disable-muxers \ + --disable-filters \ + --disable-protocols \ + --enable-protocol=file \ + --enable-protocol=pipe + make -j"$(nproc)" + make install + + - name: Install torch ABI and build helpers + run: | + # torch from the CPU index — default PyPI ships the CUDA wheel for + # aarch64 since 2.5+ (Grace/GH200), and its TorchConfig.cmake then + # forces find_package(CUDA) which fails in this container. + python -m pip install --upgrade pip wheel + python -m pip install \ + --index-url https://download.pytorch.org/whl/cpu \ + "torch==${{ inputs.torch_version }}" + python -m pip install \ + "pybind11>=2.12" \ + "setuptools>=61.0" \ + auditwheel patchelf + + - name: Clone torchcodec @ ${{ inputs.torchcodec_ref }} + run: | + git clone --depth 1 --branch '${{ inputs.torchcodec_ref }}' \ + https://github.com/meta-pytorch/torchcodec.git src + + - name: Patch pyproject.toml build deps + working-directory: src + run: | + # Defense in depth — only consulted if anyone ever drops + # --no-build-isolation. With it, this is a no-op. + sed -i 's|requires *= *\["setuptools>=61.0"\]|requires = ["setuptools>=61.0", "torch", "pybind11"]|g' pyproject.toml + cat pyproject.toml | head -30 + + - name: Stub libpython for CMake FindPython3 (manylinux has no shared libpython) + run: | + # manylinux cp312 ships a static interpreter; CMake's FindPython3 + # therefore can't satisfy Development.Embed and torchcodec's CMake + # references Python3_LIBRARY directly. Drop in an empty .so so the + # configure step succeeds. The link step is fine — building a shared + # lib on Linux allows undefined symbols by default, and auditwheel + # would exclude libpython from the wheel anyway. At runtime the real + # interpreter resolves the symbols, which is the correct model for + # Python C extensions in the first place. + gcc -shared -nostdlib -o /opt/python/cp312-cp312/lib/libpython3.12.so -xc /dev/null + ls -la /opt/python/cp312-cp312/lib/libpython3.12.so + + - name: Build wheel (raw linux_aarch64, all 5 ffmpeg majors) + working-directory: src + env: + ENABLE_CUDA: '0' + BUILD_AGAINST_ALL_FFMPEG_FROM_S3: '1' + I_CONFIRM_THIS_IS_NOT_A_LICENSE_VIOLATION: '1' + BUILD_VERSION: ${{ inputs.build_version }} + run: | + # pip-installed pybind11 ships its CMake config under + # pybind11.get_cmake_dir(); CMake doesn't search there by default. + # CMAKE_PREFIX_PATH (env-var form) is the canonical way to add it. + export CMAKE_PREFIX_PATH="$(python -c 'import pybind11; print(pybind11.get_cmake_dir())')${CMAKE_PREFIX_PATH:+:$CMAKE_PREFIX_PATH}" + pip wheel . \ + --no-build-isolation \ + --no-deps \ + --no-binary=torchcodec \ + --wheel-dir=../wheels-raw \ + --verbose + + - name: Strip stale libpython3.12.so DT_NEEDED from raw wheel + run: | + # The build-step stub libpython left DT_NEEDED entries in the + # custom_ops/pybind_ops .so files (the linker recorded the explicit + # -lpython3.12 from Python3_LIBRARY). auditwheel --exclude prevents + # *bundling* libpython but doesn't strip the entry — at runtime the + # loader on the install machine then fails because manylinux's + # statically linked interpreter doesn't ship a libpython3.12.so. + # patchelf --remove-needed cleans the entries before auditwheel so + # the repaired wheel has no dangling reference. The --exclude in + # the repair step stays as defense in depth. + TMP_RAW=$(mktemp -d) + trap 'rm -rf "$TMP_RAW"' EXIT + RAW=$(ls wheels-raw/torchcodec-*.whl) + python -m zipfile -e "$RAW" "$TMP_RAW" + stripped=0 + for so in $(find "$TMP_RAW" -name '*.so'); do + if patchelf --print-needed "$so" 2>/dev/null | grep -qx 'libpython3\.12\.so'; then + echo "stripping libpython3.12.so from $so" + patchelf --remove-needed libpython3.12.so "$so" + stripped=$((stripped + 1)) + fi + done + echo "stripped libpython from $stripped shared object(s)" + test "$stripped" -gt 0 || { echo "expected >=1 .so to reference libpython3.12.so; build/link assumptions changed"; exit 1; } + # Repack the raw wheel in place; `wheel pack` recomputes RECORD. + rm "$RAW" + python -m wheel pack "$TMP_RAW" --dest-dir wheels-raw/ + ls -la wheels-raw/ + + - name: Repair to manylinux_2_28_aarch64 + run: | + # Exclude every ffmpeg soname for majors 4-8 across all lib families. + # torchcodec dlopens the user's ffmpeg at runtime; bundling our + # build-time copy would override that and break the multi-version + # mechanism. Also exclude torch libs (user-supplied via installed + # torch) and libpython (the build-step stub — must never ride along). + # auditwheel repair will refuse the wheel if any glibc symbol newer + # than 2.28 leaked in — that's the real manylinux check. + # + # libtorchcodec_custom_ops{4..8}.so each DT_NEEDED their sibling + # libtorchcodec_core{4..8}.so. auditwheel's lddtree doesn't peek + # inside the wheel, so unpack the raw wheel to a temp dir and put + # it on LD_LIBRARY_PATH; auditwheel will then resolve the siblings + # and write proper $ORIGIN-relative RPATHs into the repaired wheel. + # + # We also strip DT_NEEDED libpython3.12.so from the custom_ops* + # and pybind_ops* libs here. The build-time libpython stub satisfied + # CMake's link step but left a DT_NEEDED entry behind; manylinux's + # libpython isn't reachable from the .so's own RPATH at runtime, so + # ctypes.CDLL fails. Python C extensions resolve Python symbols via + # the loading interpreter, not via DT_NEEDED, so the entry is dead + # weight. patchelf --remove-needed before auditwheel sees the wheel. + mkdir -p wheels + TMP=$(mktemp -d) + trap 'rm -rf "$TMP"' EXIT + python -m zipfile -e wheels-raw/torchcodec-*.whl "$TMP" + for so in "$TMP"/torchcodec/*.so; do + if patchelf --print-needed "$so" 2>/dev/null | grep -q '^libpython3\.'; then + echo "patchelf: removing DT_NEEDED libpython3.12.so from $(basename "$so")" + patchelf --remove-needed libpython3.12.so "$so" + fi + done + rm -f wheels-raw/torchcodec-*.whl + python -m wheel pack "$TMP" --dest-dir wheels-raw + export LD_LIBRARY_PATH="$TMP/torchcodec${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}" + auditwheel repair wheels-raw/torchcodec-*.whl \ + --plat manylinux_2_28_aarch64 \ + --wheel-dir wheels \ + --exclude 'libavcodec.so.*' \ + --exclude 'libavformat.so.*' \ + --exclude 'libavutil.so.*' \ + --exclude 'libavfilter.so.*' \ + --exclude 'libavdevice.so.*' \ + --exclude 'libswresample.so.*' \ + --exclude 'libswscale.so.*' \ + --exclude 'libc10.so' \ + --exclude 'libtorch.so' \ + --exclude 'libtorch_cpu.so' \ + --exclude 'libtorch_python.so' \ + --exclude 'libpython3.*.so*' + ls -la wheels/ + + - name: Verify wheel + run: | + python - <<'PY' + import glob, re, zipfile + whl = glob.glob('wheels/torchcodec-*.whl') + assert whl, 'no wheel produced' + w = whl[0] + print('wheel:', w) + assert 'manylinux_2_28_aarch64' in w, f'wrong platform tag: {w}' + with zipfile.ZipFile(w) as z: + sos = [n for n in z.namelist() if n.endswith('.so')] + print('shared objects:', sos) + # Expect ffmpeg majors 4-8 across the core libs (one per major). + # auditwheel may also vendor hashed copies into torchcodec.libs/; + # collapse to the set of majors so duplicates don't trip us. + # If only {4} (or any single-element set) is present, then + # BUILD_AGAINST_ALL_FFMPEG_FROM_S3 silently no-op'd (S3 + # unreachable, license confirm dropped, etc). + majors = {int(m.group(1)) for n in sos + if (m := re.search(r'libtorchcodec_core(\d+)', n))} + assert majors == {4, 5, 6, 7, 8}, \ + f'expected ffmpeg majors 4-8, got: {sorted(majors)}' + # Belt-and-braces: ensure the build-step libpython stub didn't + # sneak past auditwheel. + assert not any('libpython' in n for n in sos), \ + f'libpython leaked into wheel: {sos}' + PY + + - name: Smoke-test import + env: + LD_LIBRARY_PATH: /opt/ffmpeg/lib + run: | + python -m pip install wheels/torchcodec-*.whl + python -c "import torchcodec; print('torchcodec', torchcodec.__version__)" + + - name: Upload wheel artifact + uses: actions/upload-artifact@v4 + with: + name: torchcodec-aarch64-wheel + path: wheels/torchcodec-*.whl + retention-days: 90 + if-no-files-found: error + + - name: Install GitHub CLI + if: ${{ inputs.attach_to_release }} + run: | + dnf config-manager --add-repo https://cli.github.com/packages/rpm/gh-cli.repo + dnf install -y gh + + - name: Attach wheel to latest release + if: ${{ inputs.attach_to_release }} + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: | + TAG=$(gh release view --json tagName -q .tagName) + gh release upload "$TAG" wheels/torchcodec-*.whl --clobber diff --git a/.github/workflows/Custom-Command.yml b/.github/workflows/Custom-Command.yml new file mode 100644 index 0000000..0c47d35 --- /dev/null +++ b/.github/workflows/Custom-Command.yml @@ -0,0 +1,27 @@ +name: Custom Command Runner + +on: + workflow_dispatch: + inputs: + custom_command: + description: 'Enter a shell command to run' + required: true + default: 'echo Hello from Runner!' + runner_os: + description: 'Select the operating system' + required: true + default: 'macos' + type: choice + options: + - macos + - linux + +jobs: + CustomCommand: + # Dynamically sets the label based on your selection + runs-on: [self-hosted, "${{ github.event.inputs.runner_os }}"] + steps: + - name: Run Custom Command + run: | + echo "Running on ${{ github.event.inputs.runner_os }}..." + eval "${{ github.event.inputs.custom_command }}" diff --git a/.github/workflows/Docker-Build.yml b/.github/workflows/Docker-Build.yml new file mode 100644 index 0000000..4bc15ed --- /dev/null +++ b/.github/workflows/Docker-Build.yml @@ -0,0 +1,205 @@ +name: Docker Build + +on: + workflow_dispatch: + inputs: + wipeAndReinstall: + type: boolean + description: 'Wipe & Re-Install E2A' + + workflow_run: + workflows: ["E2A Test"] + types: + - completed + branches: + - main + +jobs: + DockerBuild: + if: ${{ github.event_name == 'workflow_dispatch' || github.event.workflow_run.conclusion == 'success' }} + runs-on: [self-hosted, macos] + steps: + + - name: Wipe & Re-Clone E2A E2ADockerBuild + if: ${{ inputs.wipeAndReinstall }} + run: rm -rf ~/E2ADockerBuild/ebook2audiobook + + - name: Clone ebook2audiobook + shell: bash + run: | + set -e + + REPO_DIR=~/E2ADockerBuild/ebook2audiobook + REPO_URL="https://github.com/${{ github.repository }}" + IS_PR="${{ github.event_name == 'pull_request' }}" + BASE_REF="${{ github.event.pull_request.base.ref }}" + HEAD_REF="${{ github.event.pull_request.head.ref }}" + HEAD_SHA="${{ github.event.pull_request.head.sha }}" + HEAD_REPO_URL="${{ github.event.pull_request.head.repo.clone_url }}" + TRIGGER_SHA="${{ github.sha }}" + FRESH_CLONE=0 + + echo "==> Event: ${{ github.event_name }}" + echo "==> Repo: $REPO_URL" + + # Clone or reuse + if [ -d "$REPO_DIR" ]; then + echo "==> Reusing existing repo" + cd "$REPO_DIR" + # Set correct remote and fix ambiguous refs + git remote set-url origin "$REPO_URL" + git remote set-head origin -a + git remote prune origin + git fetch --all --prune + + echo "==> Cleaning working directory" + git reset --hard + else + echo "==> Cloning fresh" + git clone "$REPO_URL" "$REPO_DIR" + cd "$REPO_DIR" + git remote set-head origin -a + git remote prune origin + git fetch --all --prune + FRESH_CLONE=1 + fi + + if [ "$IS_PR" = "true" ]; then + echo "==> PR detected: simulating GitHub merge (base: $BASE_REF ← head: $HEAD_REF)" + + # Fetch both branches. For the head, we must fetch from the actual source repo (fork) + # because 'origin' might not have the fork's branch. + git fetch origin "$BASE_REF":"origin/$BASE_REF" + + if [ -n "$HEAD_REPO_URL" ]; then + echo "==> Fetching head from fork: $HEAD_REPO_URL" + git fetch "$HEAD_REPO_URL" "$HEAD_REF":refs/remotes/origin/$HEAD_REF + else + # Fallback (shouldn't happen for PRs) + git fetch origin "$HEAD_REF":"origin/$HEAD_REF" + fi + + # Reset to base branch + git checkout -B "$BASE_REF" "remotes/origin/$BASE_REF" + git reset --hard "origin/$BASE_REF" + + # Merge PR source + if ! git merge --no-ff --no-edit "origin/$HEAD_REF"; then + echo "❌ Merge conflict simulating PR merge" + exit 1 + fi + else + echo "==> Not a PR: checking out triggered commit directly" + git fetch origin "$TRIGGER_SHA" + git checkout --detach "$TRIGGER_SHA" + git reset --hard "$TRIGGER_SHA" + fi + + echo "==> Final repo state:" + git status + git log -1 --oneline + + if [ "$FRESH_CLONE" -eq 1 ]; then + echo "==> Running ./ebook2audiobook.sh --help because this was a fresh clone" + if ! ./ebook2audiobook.sh --help; then + echo "==> Attempting fallback with conda deactivation" + source "$(conda info --base 2>/dev/null)/etc/profile.d/conda.sh" 2>/dev/null && conda deactivate || true + ./ebook2audiobook.sh --help + fi + else + echo "==> Skipping script run because repo already existed" + fi + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + buildkitd-flags: "--allow-insecure-entitlement security.insecure --allow-insecure-entitlement network.host" + + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Get Git Commit Hash + run: echo "GIT_HASH=${GITHUB_SHA::9}" >> $GITHUB_ENV + + - name: Get Latest Release Tag + run: | + TAG=$(curl -s https://api.github.com/repos/${{ github.repository }}/releases/latest | jq -r .tag_name) + if [ -z "$TAG" ] || [ "$TAG" == "null" ]; then TAG="latest"; fi + echo "RELEASE_TAG=$TAG" >> $GITHUB_ENV + + - name: Debug Print Variables + run: | + echo "DOCKER_USERNAME=${{ secrets.DOCKER_USERNAME }}" + echo "GIT_HASH=${GIT_HASH}" + echo "RELEASE_TAG=${RELEASE_TAG}" + + # ==================== CPU Build x86_64 (linux/amd64) ==================== + - name: Build and Push CPU Docker Image (x86_64) + run: | + cd ~/E2ADockerBuild/ebook2audiobook + CPU_AMD64_TAG="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cpu-amd64" + docker buildx build --pull --platform linux/amd64 \ + --build-arg DEVICE_TAG=cpu \ + --build-arg DOCKER_DEVICE_STR='{"name": "cpu", "os": "manylinux_2_28", "arch": "x86_64", "pyvenv": [3, 12], "tag": "cpu", "note": "CPU only"}' \ + -t "$CPU_AMD64_TAG" \ + --push . + + # ==================== CPU Build aarch64 (linux/arm64) ==================== + - name: Build and Push CPU Docker Image (aarch64) + run: | + cd ~/E2ADockerBuild/ebook2audiobook + CPU_ARM64_TAG="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cpu-arm64" + docker buildx build --pull --platform linux/arm64 \ + --build-arg DEVICE_TAG=cpu \ + --build-arg DOCKER_DEVICE_STR='{"name": "cpu", "os": "manylinux_2_28", "arch": "aarch64", "pyvenv": [3, 12], "tag": "cpu", "note": "CPU only"}' \ + -t "$CPU_ARM64_TAG" \ + --push . + + # ==================== CPU Multi-Arch Manifest ==================== + - name: Create CPU Multi-Arch Manifest + run: | + CPU_AMD64_TAG="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cpu-amd64" + CPU_ARM64_TAG="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cpu-arm64" + for TAG in \ + "${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cpu" \ + "${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${RELEASE_TAG}-cpu" \ + "${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:cpu" + do + docker buildx imagetools create -t "$TAG" "$CPU_AMD64_TAG" "$CPU_ARM64_TAG" + done + + # ==================== CUDA 13.0 Build (linux/amd64 only) ==================== + - name: Build and Push CUDA 13.0 Docker Image + run: | + cd ~/E2ADockerBuild/ebook2audiobook + CUDA_TAG_1="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${GIT_HASH}-cu130" + CUDA_TAG_2="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:${RELEASE_TAG}-cu130" + CUDA_TAG_3="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:cu130" + CUDA_TAG_4="${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:latest" + docker buildx build --pull --platform linux/amd64 \ + --build-arg DEVICE_TAG=cu130 \ + --build-arg DOCKER_DEVICE_STR='{"name": "cuda", "os": "manylinux_2_28", "arch": "x86_64", "pyvenv": [3, 12], "tag": "cu130", "note": "CUDA 13.0"}' \ + -t "$CUDA_TAG_1" \ + -t "$CUDA_TAG_2" \ + -t "$CUDA_TAG_3" \ + -t "$CUDA_TAG_4" \ + --push . + + # ==================== Huggingface Docker Build (linux/amd64 only) ==================== + - name: Build and Push Huggingface Docker Image + run: | + cd ~/E2ADockerBuild/ebook2audiobook + docker buildx build --platform linux/amd64 \ + -f dockerfiles/HuggingfaceDockerfile \ + -t ${{ secrets.DOCKER_USERNAME }}/ebook2audiobook:HuggingfaceSpace \ + --push . + + + - name: Prune docker & buildx + run: | + docker system prune -af --volumes + docker buildx prune -af diff --git a/.github/workflows/E2A-Test.yml b/.github/workflows/E2A-Test.yml new file mode 100644 index 0000000..4717781 --- /dev/null +++ b/.github/workflows/E2A-Test.yml @@ -0,0 +1,350 @@ +name: E2A Test + +on: + workflow_dispatch: + inputs: + wipeAndReinstall: + type: boolean + description: 'Wipe & Re-Install E2A' + + pull_request: + branches: + - main + types: + - opened + - synchronize + - reopened + paths-ignore: + - CODE_OF_CONDUCT.md + - LICENSE + - README.md + - readme/** + - dockerfiles/** + - Notebooks/** + - .github/workflows/stale.yml + - .github/workflows/custom-command.yml + + push: + branches: + - main + paths-ignore: + - CODE_OF_CONDUCT.md + - LICENSE + - README.md + - readme/** + - dockerfiles/** + - Notebooks/** + - .github/workflows/stale.yml + - .github/workflows/custom-command.yml + + release: + types: + - published + +jobs: + E2A-test: + strategy: + fail-fast: false + matrix: + # windows and linux can be added to the matrix when good runners for those are made available for this repo + os: [macos] + runs-on: [self-hosted, "${{ matrix.os }}"] + + steps: + - name: Print runner info + shell: bash + run: | + echo "Running on:" + uname -a + if [[ "$OSTYPE" == "darwin"* ]]; then + sw_vers + elif [[ -f /etc/os-release ]]; then + cat /etc/os-release + else + echo "Windows / Other OS detected" + fi + + # NEW STEP: Determine which command to run based on OS + - name: Determine OS and Script Command + shell: bash + run: | + if [[ "${{ matrix.os }}" == "windows" ]]; then + echo "Detecting Windows. Using ebook2audiobook.cmd" + # We use 'cmd //c' to run a batch file from Git Bash + echo "RUN_CMD=cmd //c ebook2audiobook.cmd" >> $GITHUB_ENV + echo "IS_WINDOWS=true" >> $GITHUB_ENV + else + echo "Detecting Unix. Using ebook2audiobook.command" + echo "RUN_CMD=./ebook2audiobook.command" >> $GITHUB_ENV + echo "IS_WINDOWS=false" >> $GITHUB_ENV + fi + + - name: Wipe & Re-Install E2A + if: ${{ inputs.wipeAndReinstall }} + shell: bash + run: rm -rf ~/ebook2audiobook + + - name: Clone ebook2audiobook + shell: bash + run: | + set -e + + REPO_DIR=~/ebook2audiobook + REPO_URL="https://github.com/${{ github.repository }}" + IS_PR="${{ github.event_name == 'pull_request' }}" + BASE_REF="${{ github.event.pull_request.base.ref }}" + HEAD_REF="${{ github.event.pull_request.head.ref }}" + HEAD_SHA="${{ github.event.pull_request.head.sha }}" + HEAD_REPO_URL="${{ github.event.pull_request.head.repo.clone_url }}" + TRIGGER_SHA="${{ github.sha }}" + FRESH_CLONE=0 + + echo "==> Event: ${{ github.event_name }}" + echo "==> Repo: $REPO_URL" + + # Clone or reuse + if [ -d "$REPO_DIR" ]; then + echo "==> Reusing existing repo" + cd "$REPO_DIR" + # Set correct remote and fix ambiguous refs + git remote set-url origin "$REPO_URL" + git remote set-head origin -a + git remote prune origin + git fetch --all --prune + + echo "==> Cleaning working directory" + git reset --hard + else + echo "==> Cloning fresh" + git clone "$REPO_URL" "$REPO_DIR" + cd "$REPO_DIR" + git remote set-head origin -a + git remote prune origin + git fetch --all --prune + FRESH_CLONE=1 + fi + + if [ "$IS_PR" = "true" ]; then + echo "==> PR detected: simulating GitHub merge (base: $BASE_REF ← head: $HEAD_REF)" + + # Fetch both branches. For the head, we must fetch from the actual source repo (fork) + # because 'origin' might not have the fork's branch. + git fetch origin "$BASE_REF":"origin/$BASE_REF" + + if [ -n "$HEAD_REPO_URL" ]; then + echo "==> Fetching head from fork: $HEAD_REPO_URL" + git fetch "$HEAD_REPO_URL" "$HEAD_REF":refs/remotes/origin/$HEAD_REF + else + # Fallback (shouldn't happen for PRs) + git fetch origin "$HEAD_REF":"origin/$HEAD_REF" + fi + + # Reset to base branch + git checkout -B "$BASE_REF" "remotes/origin/$BASE_REF" + git reset --hard "origin/$BASE_REF" + + # Merge PR source + if ! git merge --no-ff --no-edit "origin/$HEAD_REF"; then + echo "❌ Merge conflict simulating PR merge" + echo "❌ Initial merge failed, attempting cleanup of __pycache__ and retry..." + + # Remove known __pycache__ dirs that may cause conflict + echo "==> Cleaning up untracked files like __pycache__" + git clean -ffd lib/ + + # Retry the merge + if ! git merge --no-ff --no-edit "origin/$HEAD_REF"; then + echo "❌ Merge still failed after cleanup" + exit 1 + fi + fi + else + echo "==> Not a PR: checking out triggered commit directly" + git fetch origin "$TRIGGER_SHA" + git checkout --detach "$TRIGGER_SHA" + git reset --hard "$TRIGGER_SHA" + fi + + echo "==> Final repo state:" + git status + git log -1 --oneline + + if [ "$FRESH_CLONE" -eq 1 ]; then + echo "==> Running Help Check to verify install" + + # Use the dynamic command variable + if ! $RUN_CMD --help; then + echo "==> Attempting fallback with conda deactivation (Unix only)" + if [ "$IS_WINDOWS" != "true" ]; then + source "$(conda info --base 2>/dev/null)/etc/profile.d/conda.sh" 2>/dev/null && conda deactivate || true + fi + $RUN_CMD --help + fi + else + echo "==> Skipping script run because repo already existed" + fi + + - name: Create Audiobook Output folders for Artifacts + shell: bash + run: | + mkdir -p ~/ebook2audiobook/audiobooks/{TACOTRON,FAIRSEQ,UnFAIRSEQ,VITS,PIPER,YOURTTS,XTTS,XTTSFineTune,XTTSFineTuneCustom,BARK,TORTOISE,GLOWTTS} + find ~/ebook2audiobook/audiobooks/{TACOTRON,FAIRSEQ,UnFAIRSEQ,VITS,PIPER,YOURTTS,XTTS,XTTSFineTune,XTTSFineTuneCustom,BARK,TORTOISE,GLOWTTS} -mindepth 1 -exec rm -rf {} + + + # This step only runs on non-windows because we don't need to modify the .command file if we are running .cmd + - name: Add set -e at beginning of ebook2audiobook.command (for error passing) + if: matrix.os != 'windows' + shell: bash + run: | + cd ~/ebook2audiobook + conda deactivate 2>/dev/null || true + sed -i.bak '1s;^;set -e\n;' ebook2audiobook.command && rm -f ebook2audiobook.command.bak + + - name: English TACOTRON2 Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine TACOTRON --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/TACOTRON + + - name: FAIRSEQ Custom-Voice OCR headless single long test english -> spanish translate test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --translate spa --ebook "tools/workflow-testing/ocr_eng_script_font.jpg" --tts_engine FAIRSEQ --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/FAIRSEQ + + - name: FAIRSEQ Custom-Voice headless single long spanish -> german translate test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language spa --translate deu --ebook "tools/workflow-testing/spa_long_test.txt" --tts_engine FAIRSEQ --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/FAIRSEQ + + - name: Haitian Creole FAIRSEQ OCR headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language hat --ebook "tools/workflow-testing/odc_test_haitian.pdf" --tts_engine FAIRSEQ --output_dir ~/ebook2audiobook/audiobooks/FAIRSEQ + + - name: English FAIRSEQ Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine FAIRSEQ --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/FAIRSEQ + + - name: Unusual FAIRSEQ Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language urd-script_devanagari --ebook "tools/workflow-testing/urd-script_davanagari-test.txt" --tts_engine FAIRSEQ --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/UnFAIRSEQ + + - name: English VITS Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine VITS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/VITS + + - name: Hungarian VITS Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language hun --ebook "tools/workflow-testing/hun-test.txt" --tts_engine VITS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/VITS + + - name: English YOURTTS Custom-Voice headless batch test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebooks_dir "tools/workflow-testing" --tts_engine YOURTTS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/YOURTTS + + - name: English PIPER Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine PIPER --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/PIPER + + - name: English TORTOISE Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine TORTOISE --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/TORTOISE + + - name: English GLOWTTS Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine GLOWTTS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/GLOWTTS + + - name: Default XTTSv2 headless Custom-Voice single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine XTTS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/XTTS + + - name: Hungarian XTTSv2 headless Custom-Voice single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language hun --ebook "tools/workflow-testing/hun-test.txt" --tts_engine XTTS --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/XTTS + + + - name: English XTTSv2 headless fine-tuned XTTSv2 model single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine XTTS --fine_tuned AiExplained --output_dir ~/ebook2audiobook/audiobooks/XTTSFineTune + + - name: English XTTSv2 headless custom fine-tuned XTTSv2 model single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + [ ! -f BadCartmanSouthPark.zip ] && curl -L "https://huggingface.co/drewThomasson/fineTunedTTSModels/resolve/main/xtts-v2/eng/BadCartmanSouthPark/BadCartmanSouthPark.zip" -o BadCartmanSouthPark.zip || echo "BadCartmanSouthPark.zip already exists" + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --custom_model "BadCartmanSouthPark.zip" --tts_engine XTTS --output_dir ~/ebook2audiobook/audiobooks/XTTSFineTuneCustom + + # Clean up sessions, careful with path on windows, but rm -rf works in git bash + ls -lhR ./models/__sessions || true + rm -rf ./models/__sessions + + - name: English BARK Custom-Voice headless single test + shell: bash + run: | + cd ~/ebook2audiobook + if [ "$IS_WINDOWS" != "true" ]; then conda deactivate 2>/dev/null || true; fi + + $RUN_CMD --headless --language eng --ebook "tools/workflow-testing/test1.txt" --tts_engine BARK --voice "voices/eng/elder/male/DavidAttenborough.wav" --output_dir ~/ebook2audiobook/audiobooks/BARK + + - name: Upload audiobooks folder artifact + if: always() + uses: actions/upload-artifact@v6 + with: + name: audiobooks-${{ matrix.os }} + path: ~/ebook2audiobook/audiobooks diff --git a/.github/workflows/Readme-i18n.yml b/.github/workflows/Readme-i18n.yml new file mode 100644 index 0000000..bfb3964 --- /dev/null +++ b/.github/workflows/Readme-i18n.yml @@ -0,0 +1,49 @@ +# .github/workflows/readme-i18n.yml +# Syncs the 25 README_.md translations whenever the English README.md changes. +# Loop-safe: triggers only on README.md paths; the bot commit touches readme/* +# and tools/readme_i18n/* only, so it never re-triggers itself. +# No marketplace actions used (repo policy restricts to owner-only actions). + +name: Sync README translations + +on: + push: + branches: [main] + paths: + - 'README.md' + workflow_dispatch: + +permissions: + contents: write + +concurrency: + group: readme-i18n + cancel-in-progress: false + +jobs: + translate: + runs-on: ubuntu-latest + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + steps: + - name: Checkout (manual, no actions) + run: | + git init . + git remote add origin "https://x-access-token:${GITHUB_TOKEN}@github.com/${GITHUB_REPOSITORY}.git" + git fetch --depth=1 origin "$GITHUB_SHA" + git checkout --force "$GITHUB_SHA" + + - name: Update translations + run: python3 tools/readme_i18n/update_translations.py + + - name: Commit and push + run: | + git config user.name 'github-actions[bot]' + git config user.email 'github-actions[bot]@users.noreply.github.com' + git add readme tools/readme_i18n/baseline_README.md tools/readme_i18n/cache.json + if git diff --cached --quiet; then + echo 'No translation changes to commit' + exit 0 + fi + git commit -m 'docs: sync README translations with English source [skip ci]' + git push origin "HEAD:${GITHUB_REF_NAME:-main}" diff --git a/.github/workflows/Stale.yml b/.github/workflows/Stale.yml new file mode 100644 index 0000000..90bd4f8 --- /dev/null +++ b/.github/workflows/Stale.yml @@ -0,0 +1,122 @@ +name: 'Close stale issues and PRs' +on: + schedule: + - cron: '30 1 * * 0' # Runs Once Every Sunday + +jobs: + stale: + runs-on: ubuntu-latest + permissions: + issues: write + pull-requests: write + steps: + - name: Close Stale Issues + uses: actions/stale@v10.1.1 + with: + # Token for the repository. Can be passed in using `{{ secrets.GITHUB_TOKEN }}`. + #repo-token: # optional, default is ${{ github.token }} + # The message to post on the issue when tagging it. If none provided, will not mark issues stale. + stale-issue-message: 'This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If this issue is still relevant, please comment or remove the stale label to keep it open.' + # The message to post on the pull request when tagging it. If none provided, will not mark pull requests stale. + stale-pr-message: 'This pull request has been automatically marked as stale due to inactivity. It will be closed if no further activity occurs. Please comment or remove the stale label if you would like to keep it open.' + # The message to post on the issue when closing it. If none provided, will not comment when closing an issue. + #close-issue-message: # optional + # The message to post on the pull request when closing it. If none provided, will not comment when closing a pull requests. + #close-pr-message: # optional + # The number of days old an issue or a pull request can be before marking it stale. Set to -1 to never mark issues or pull requests as stale automatically. + days-before-stale: 10 + # The number of days old an issue can be before marking it stale. Set to -1 to never mark issues as stale automatically. Override "days-before-stale" option regarding only the issues. + #days-before-issue-stale: # optional + # The number of days old a pull request can be before marking it stale. Set to -1 to never mark pull requests as stale automatically. Override "days-before-stale" option regarding only the pull requests. + #days-before-pr-stale: # optional + # The number of days to wait to close an issue or a pull request after it being marked stale. Set to -1 to never close stale issues or pull requests. + days-before-close: 10 + # The number of days to wait to close an issue after it being marked stale. Set to -1 to never close stale issues. Override "days-before-close" option regarding only the issues. + #days-before-issue-close: # optional + # The number of days to wait to close a pull request after it being marked stale. Set to -1 to never close stale pull requests. Override "days-before-close" option regarding only the pull requests. + #days-before-pr-close: # optional + # The label to apply when an issue is stale. + #stale-issue-label: # optional, default is Stale + # The label to apply when an issue is closed. + #close-issue-label: # optional + # The labels that mean an issue is exempt from being marked stale. Separate multiple labels with commas (eg. "label1,label2"). + #exempt-issue-labels: # optional, default is + # The reason to use when closing an issue. + #close-issue-reason: # optional, default is not_planned + # The label to apply when a pull request is stale. + #stale-pr-label: # optional, default is Stale + # The label to apply when a pull request is closed. + #close-pr-label: # optional + # The labels that mean a pull request is exempt from being marked as stale. Separate multiple labels with commas (eg. "label1,label2"). + #exempt-pr-labels: # optional, default is + # The milestones that mean an issue or a pull request is exempt from being marked as stale. Separate multiple milestones with commas (eg. "milestone1,milestone2"). + #exempt-milestones: # optional, default is + # The milestones that mean an issue is exempt from being marked as stale. Separate multiple milestones with commas (eg. "milestone1,milestone2"). Override "exempt-milestones" option regarding only the issues. + #exempt-issue-milestones: # optional, default is + # The milestones that mean a pull request is exempt from being marked as stale. Separate multiple milestones with commas (eg. "milestone1,milestone2"). Override "exempt-milestones" option regarding only the pull requests. + #exempt-pr-milestones: # optional, default is + # Exempt all issues and pull requests with milestones from being marked as stale. Default to false. + #exempt-all-milestones: # optional, default is false + # Exempt all issues with milestones from being marked as stale. Override "exempt-all-milestones" option regarding only the issues. + #exempt-all-issue-milestones: # optional, default is + # Exempt all pull requests with milestones from being marked as stale. Override "exempt-all-milestones" option regarding only the pull requests. + #exempt-all-pr-milestones: # optional, default is + # Only issues or pull requests with all of these labels are checked if stale. Defaults to `` (disabled) and can be a comma-separated list of labels. + #only-labels: # optional, default is + # Only issues or pull requests with at least one of these labels are checked if stale. Defaults to `` (disabled) and can be a comma-separated list of labels. + #any-of-labels: # optional, default is + # Only issues with at least one of these labels are checked if stale. Defaults to `` (disabled) and can be a comma-separated list of labels. Override "any-of-labels" option regarding only the issues. + #any-of-issue-labels: # optional, default is + # Only pull requests with at least one of these labels are checked if stale. Defaults to `` (disabled) and can be a comma-separated list of labels. Override "any-of-labels" option regarding only the pull requests. + #any-of-pr-labels: # optional, default is + # Only issues with all of these labels are checked if stale. Defaults to `[]` (disabled) and can be a comma-separated list of labels. Override "only-labels" option regarding only the issues. + #only-issue-labels: # optional, default is + # Only pull requests with all of these labels are checked if stale. Defaults to `[]` (disabled) and can be a comma-separated list of labels. Override "only-labels" option regarding only the pull requests. + #only-pr-labels: # optional, default is + # The maximum number of operations per run, used to control rate limiting (GitHub API CRUD related). + #operations-per-run: # optional, default is 30 + # Remove stale labels from issues and pull requests when they are updated or commented on. + #remove-stale-when-updated: # optional, default is true + # Remove stale labels from issues when they are updated or commented on. Override "remove-stale-when-updated" option regarding only the issues. + #remove-issue-stale-when-updated: # optional, default is + # Remove stale labels from pull requests when they are updated or commented on. Override "remove-stale-when-updated" option regarding only the pull requests. + #remove-pr-stale-when-updated: # optional, default is + # Run the processor in debug mode without actually performing any operations on live issues. + #debug-only: # optional, default is false + # The order to get issues or pull requests. Defaults to false, which is descending. + #ascending: # optional, default is false + # Delete the git branch after closing a stale pull request. + #delete-branch: # optional, default is false + # The date used to skip the stale action on issue/pull request created before it (ISO 8601 or RFC 2822). + #start-date: # optional, default is + # The assignees which exempt an issue or a pull request from being marked as stale. Separate multiple assignees with commas (eg. "user1,user2"). + #exempt-assignees: # optional, default is + # The assignees which exempt an issue from being marked as stale. Separate multiple assignees with commas (eg. "user1,user2"). Override "exempt-assignees" option regarding only the issues. + #exempt-issue-assignees: # optional, default is + # The assignees which exempt a pull request from being marked as stale. Separate multiple assignees with commas (eg. "user1,user2"). Override "exempt-assignees" option regarding only the pull requests. + #exempt-pr-assignees: # optional, default is + # Exempt all issues and pull requests with assignees from being marked as stale. Default to false. + #exempt-all-assignees: # optional, default is false + # Exempt all issues with assignees from being marked as stale. Override "exempt-all-assignees" option regarding only the issues. + #exempt-all-issue-assignees: # optional, default is + # Exempt all pull requests with assignees from being marked as stale. Override "exempt-all-assignees" option regarding only the pull requests. + #exempt-all-pr-assignees: # optional, default is + # Exempt draft pull requests from being marked as stale. Default to false. + #exempt-draft-pr: # optional, default is false + # Display some statistics at the end regarding the stale workflow (only when the logs are enabled). + #enable-statistics: # optional, default is true + # A comma delimited list of labels to add when an issue or pull request becomes unstale. + #labels-to-add-when-unstale: # optional, default is + # A comma delimited list of labels to remove when an issue or pull request becomes stale. + #labels-to-remove-when-stale: # optional, default is + # A comma delimited list of labels to remove when an issue or pull request becomes unstale. + #labels-to-remove-when-unstale: # optional, default is + # Any update (update/comment) can reset the stale idle time on the issues and pull requests. + #ignore-updates: # optional, default is false + # Any update (update/comment) can reset the stale idle time on the issues. Override "ignore-updates" option regarding only the issues. + #ignore-issue-updates: # optional, default is + # Any update (update/comment) can reset the stale idle time on the pull requests. Override "ignore-updates" option regarding only the pull requests. + #ignore-pr-updates: # optional, default is + # Only the issues or the pull requests with an assignee will be marked as stale automatically. + #include-only-assigned: # optional, default is false + diff --git a/.github/workflows/Update-E2A-Voices.yml b/.github/workflows/Update-E2A-Voices.yml new file mode 100644 index 0000000..8d27a3f --- /dev/null +++ b/.github/workflows/Update-E2A-Voices.yml @@ -0,0 +1,116 @@ +name: Update E2A Voices Dataset + +on: + workflow_dispatch: + inputs: + hf_repo_id: + description: 'Hugging Face Repo ID (e.g., ebook2audiobook/E2A-Voices)' + required: true + default: 'ebook2audiobook/E2A-Voices' + type: string + runner: + description: 'GitHub Runner OS to use' + required: true + default: 'ubuntu-latest' + type: choice + options: + - 'ubuntu-latest' + - 'macos-latest' + - 'self-hosted' + +jobs: + update-voices: + name: Get voices folder, zip it, and upload to HF + runs-on: ${{ inputs.runner }} + + steps: + - name: Setup Python & Run Zip/Upload Script + shell: bash + env: + HF_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }} + HF_REPO_ID: ${{ inputs.hf_repo_id }} + run: | + echo "Setting up Python virtual environment..." + python3 -m venv venv + venv/bin/pip install --upgrade pip + venv/bin/pip install huggingface_hub + + echo "Executing Zip and Upload script..." + venv/bin/python3 - <<'PY' + import os + import shutil + import sys + from huggingface_hub import HfApi, snapshot_download + + repo_id = os.environ.get('HF_REPO_ID') + token = os.environ.get('HF_TOKEN') + + if not token: + print('Error: HF_TOKEN environment variable is missing. Please set the HUGGINGFACE_TOKEN secret in your repository.') + sys.exit(1) + + local_dir = 'hf_repo_download' + repo_type = 'dataset' + print(f'Downloading voices/ directory from Hugging Face: {repo_id}') + + # Auto-detect repository type by trying dataset first, then space + try: + print('Attempting download as dataset...') + snapshot_download( + repo_id=repo_id, + repo_type='dataset', + allow_patterns='voices/**', + local_dir=local_dir, + token=token + ) + repo_type = 'dataset' + except Exception as dataset_error: + print(f'Failed to download as dataset: {dataset_error}') + print('Attempting download as space...') + try: + snapshot_download( + repo_id=repo_id, + repo_type='space', + allow_patterns='voices/**', + local_dir=local_dir, + token=token + ) + repo_type = 'space' + except Exception as space_error: + print(f'Failed to download as space: {space_error}') + sys.exit(1) + + voices_path = os.path.join(local_dir, 'voices') + if not os.path.exists(voices_path): + print(f'Error: voices/ directory not found in the downloaded files from {repo_id}.') + print('Listing downloaded files:') + for root, dirs, files in os.walk(local_dir): + for file in files: + print(os.path.join(root, file)) + sys.exit(1) + + print('Zipping voices/ directory into voices.zip...') + try: + if os.path.exists('voices.zip'): + os.remove('voices.zip') + shutil.make_archive('voices', 'zip', root_dir=local_dir, base_dir='voices') + print(f'Successfully zipped. Archive size: {os.path.getsize("voices.zip")} bytes') + except Exception as e: + print(f'Error during zipping: {e}') + sys.exit(1) + + print(f'Uploading voices.zip to {repo_id} ({repo_type})...') + try: + api = HfApi(token=token) + api.upload_file( + path_or_fileobj='voices.zip', + path_in_repo='voices.zip', + repo_id=repo_id, + repo_type=repo_type, + token=token + ) + print('Successfully uploaded voices.zip to Hugging Face!') + except Exception as e: + print(f'Error during upload: {e}') + sys.exit(1) + PY diff --git a/.github/workflows/Update-Huggingface-Space.yml b/.github/workflows/Update-Huggingface-Space.yml new file mode 100644 index 0000000..041936c --- /dev/null +++ b/.github/workflows/Update-Huggingface-Space.yml @@ -0,0 +1,119 @@ +name: Check and Update Hugging Face Space + +on: + schedule: + - cron: '0 0 * * *' + workflow_dispatch: + inputs: + space_id: + description: 'Hugging Face Space ID (format: username/spacename)' + required: true + default: 'drewThomasson/ebook2audiobook' + type: string + workflow_run: + workflows: ["Docker Build"] + types: + - completed + +jobs: + check-space: + runs-on: ubuntu-latest + outputs: + is_running: ${{ steps.check-status.outputs.is_running }} + space_status: ${{ steps.check-status.outputs.space_status }} + steps: + - name: Check out repository + uses: actions/checkout@v6 + + - name: Set up Python + uses: actions/setup-python@v6 + with: + python-version: '3.10' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install requests + + - name: Check Space Status + id: check-status + run: | + python - <<'EOF' + import requests + import os + + def check_space_status(space_id): + url = f"https://huggingface.co/api/spaces/{space_id}/runtime" + response = requests.get(url) + if response.status_code == 200: + data = response.json() + status = data.get("stage", "UNKNOWN") + print(f"Space status: {status}") + return status + else: + print(f"Error: {response.status_code}") + return "ERROR" + + space_id = "${{ github.event.inputs.space_id }}" + status = check_space_status(space_id) + + # Set output variables using GITHUB_OUTPUT environment file + is_running = "true" if status == "RUNNING" else "false" + with open(os.environ["GITHUB_OUTPUT"], "a") as f: + f.write(f"is_running={is_running}\n") + f.write(f"space_status={status}\n") + EOF + + - name: Report Status + run: | + echo "Space: ${{ github.event.inputs.space_id }}" + echo "Status: ${{ steps.check-status.outputs.space_status }}" + echo "Is Running: ${{ steps.check-status.outputs.is_running }}" + + update-huggingface: + runs-on: ubuntu-latest + needs: check-space + if: ${{ needs.check-space.outputs.space_status != 'RUNNING' }} + steps: + - name: Checkout self repository for VERSION.txt + uses: actions/checkout@v6 + with: + path: source + + - name: Set up Git + run: | + git config --global user.name "GitHub Action" + git config --global user.email "action@github.com" + + - name: Install Git LFS + run: | + curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash + sudo apt-get install git-lfs + git lfs install + + - name: Configure Hugging Face credentials + run: | + echo "machine hf-prod.huggingface.co login api password ${{ secrets.HUGGINGFACE_TOKEN }}" > ~/.netrc + echo "machine huggingface.co login api password ${{ secrets.HUGGINGFACE_TOKEN }}" >> ~/.netrc + + - name: Clone Hugging Face space repository + run: | + git clone https://huggingface.co/spaces/drewThomasson/ebook2audiobook + + - name: Update README and updates.txt in Hugging Face space + run: | + # Read version from the source repository's VERSION.txt + VERSION=$(cat source/VERSION.txt | tr -d ' \t\n') + echo "Updating README with version $VERSION" + cd ebook2audiobook + # Update updates.txt (append or create if it doesn't exist) + if [ ! -f updates.txt ]; then + echo "update" > updates.txt + else + echo "update" >> updates.txt + fi + # Update the version in the README file using sed + sed -i "s/^title: Ebook2audiobook v[0-9.]\+/title: Ebook2audiobook v$VERSION/" README.md + git add updates.txt README.md + git commit -m "Update version in README to $VERSION and add update entry to updates.txt" + git push diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..49ae6c0 --- /dev/null +++ b/.gitignore @@ -0,0 +1,21 @@ +*.m4b +*.mp3 +*.flac +*.pyc +*.wixobj +.DS_Store +*.wixobj +__pycache__/ +python_env/ +audiobooks/cli/* +audiobooks/gui/gradio/* +audiobooks/gui/host/* +run/* +tmp/* +models/* +!run/.gitkeep +!tmp/.gitkeep +!models/.gitkeep +!audiobooks/cli/.gitkeep +!audiobooks/gui/gradio/.gitkeep +!audiobooks/gui/host/.gitkeep diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..f897e67 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,128 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the + overall community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or + advances of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or email + address, without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive, +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct, and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account, or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at +email. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series +of actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..185e88d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,95 @@ +ARG PYTHON_VERSION=3.12 + +# ============================================================ +# SINGLE STAGE — BUILD + RUNTIME +# ============================================================ +FROM python:${PYTHON_VERSION}-slim-bookworm + +ARG APP_VERSION=26.7.9 +ARG DEVICE_TAG=cu130 +ARG DOCKER_DEVICE_STR='{"name": "cuda", "os": "manylinux_2_28", "arch": "x86_64", "pyvenv": [3, 12], "tag": "cu130", "note": "default device"}' +ARG DOCKER_PROGRAMS_STR="curl ffmpeg mediainfo nodejs npm espeak-ng sox tesseract-ocr" +ARG CALIBRE_INSTALLER_URL="https://download.calibre-ebook.com/linux-installer.sh" +ARG ISO3_LANG=eng +ARG INSTALL_RUST=1 + +LABEL org.opencontainers.image.title="ebook2audiobook" \ + org.opencontainers.image.description="Generate audiobooks from e-books, voice cloning & 1158 languages!" \ + org.opencontainers.image.version="${APP_VERSION}" \ + org.opencontainers.image.authors="Drew Thomasson / Rob McDowell" \ + org.opencontainers.image.licenses="MIT" \ + org.opencontainers.image.source="https://github.com/DrewThomasson/ebook2audiobook" + +ENV DEBIAN_FRONTEND=noninteractive \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 \ + DOCKER_DEVICE_STR=${DOCKER_DEVICE_STR} \ + PIP_BREAK_SYSTEM_PACKAGES=1 \ + PATH="/root/.cargo/bin:${PATH}" \ + IN_DOCKER=1 + +WORKDIR /app + +# System packages (build + runtime) +RUN set -eux; \ + apt-get update; \ + apt-get install -y --no-install-recommends --allow-change-held-packages \ + gcc g++ make pkg-config cmake curl wget git bash xz-utils python3-dev \ + fontconfig libfontconfig1 libfreetype6 libgl1 libegl1 libopengl0 \ + libx11-6 libxext6 libxrender1 libxcb1 libxcb-render0 libxcb-shm0 \ + libxcb-xfixes0 libxcb-cursor0 libgomp1 libsndfile1 \ + ${DOCKER_PROGRAMS_STR} tesseract-ocr-${ISO3_LANG}; \ + rm -rf /var/lib/apt/lists/* + +RUN python3 -m pip install --no-cache-dir --upgrade --ignore-installed pip setuptools wheel + +# Rust toolchain +RUN bash -o pipefail -c '\ + if [ "${INSTALL_RUST}" = "1" ]; then \ + curl https://sh.rustup.rs -sSf | sh -s -- -y --default-toolchain stable; \ + else \ + echo "Skipping Rust toolchain"; \ + fi' + +# Calibre (CLI) +RUN set -eux; \ + wget -nv "${CALIBRE_INSTALLER_URL}" -O /tmp/calibre.sh; \ + bash /tmp/calibre.sh; \ + rm -f /tmp/calibre.sh + +# Debian-compatible Calibre library aliases +RUN set -eux; \ + ln -sf /usr/lib/*-linux-gnu/libfreetype.so.6 /usr/lib/libfreetype.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libfontconfig.so.1 /usr/lib/libfontconfig.so.1; \ + ln -sf /usr/lib/*-linux-gnu/libpng16.so.16 /usr/lib/libpng16.so.16; \ + ln -sf /usr/lib/*-linux-gnu/libX11.so.6 /usr/lib/libX11.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libXext.so.6 /usr/lib/libXext.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libXrender.so.1 /usr/lib/libXrender.so.1 + +COPY . /app + +# Ensure Unix line endings +RUN find /app -type f \( -name "*.sh" -o -name "*.command" \) -exec sed -i 's/\r$//' {} \; + +# Build dependencies via project script +RUN ./ebook2audiobook.command --script_mode build_docker --docker_device "$DOCKER_DEVICE_STR" + +# Cleanup build-only packages and Rust toolchain to shrink the image +RUN set -eux; \ + rustup self uninstall -y 2>/dev/null || true; \ + apt-get update; \ + apt-get purge -y --auto-remove gcc g++ make pkg-config cmake wget git xz-utils python3-dev; \ + rm -rf /var/lib/apt/lists/* /root/.cargo /root/.rustup /tmp/* || true + +VOLUME \ + /app/ebooks \ + /app/audiobooks \ + /app/models \ + /app/voices \ + /app/run \ + /app/tmp + +EXPOSE 7860 + +ENTRYPOINT ["bash", "ebook2audiobook.command", "--script_mode", "full_docker"] \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..29f81d8 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..f9bd145 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1 @@ +include requirements.txt diff --git a/Notebooks/colab_ebook2audiobook.ipynb b/Notebooks/colab_ebook2audiobook.ipynb new file mode 100644 index 0000000..0ad55b7 --- /dev/null +++ b/Notebooks/colab_ebook2audiobook.ipynb @@ -0,0 +1,275 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DKNNnwD-HJwQ" + }, + "source": [ + "## Welcome to the ebook2audiobook Google Colab!\n", + "## Features\n", + "- 🔧 **TTS Engines supported**: XTTSv2, Bark, Fairseq, VITS, Tacotron2, Tortoise, GlowTTS, YourTTS", + "- 📚 **Convert multiple file formats**: .epub, .mobi, .azw3, .fb2, .lrf, .rb, .snb, .tcr, .pdf, .txt, .rtf, .doc, .docx, .html, .odt, .azw, .tiff, .tif, .png, .jpg, .jpeg, .bmp\n", + "- 🔍 **OCR scanning** for files with text pages as images\n", + "- 🔊 **High-quality text-to-speech** from near realtime to near real voice\n", + "- 🗣️ **Optional voice cloning** using your own voice file\n", + "- 🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))\n", + "- 💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**\n", + "- 🎵 **Audiobook output formats**: mono or stereo aac, flac, mp3, m4b, m4a, mp4, mov, ogg, wav, webm\n", + "- 🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))\n", + "- 🧩 **Optional custom model** using your own trained model (XTTSv2 only, other on request)\n", + "- 🎛️ **Fine-tuned preset models** trained by the E2A Team
\n", + " (Contact us if you need additional fine-tuned models, or if you'd like to share yours to the official preset list)\n", + "## Want to run locally for free? ⬇\n", + "## [Check out the ebook2audiobook github!](https://github.com/DrewThomasson/ebook2audiobook)" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Edxj355K0rUz", + "cellView": "form", + "collapsed": true + }, + "source": [ + "# @title 🚀 Run ebook2audiobook!\n", + "\n", + "import os\n", + "import subprocess\n", + "import time\n", + "import shutil\n", + "import sysconfig\n", + "\n", + "# Emojis for logs\n", + "CHECK_MARK = \"✅\"\n", + "CROSS_MARK = \"❌\"\n", + "\n", + "SCRIPT_DIR = \"/content/ebook2audiobook\"\n", + "\n", + "# ── Environment variables (mirrors the bash script) ──────────────────────────\n", + "os.environ[\"PYTHONUTF8\"] = \"1\"\n", + "os.environ[\"PYTHONIOENCODING\"] = \"utf-8\"\n", + "os.environ[\"TTS_CACHE\"] = f\"{SCRIPT_DIR}/models\"\n", + "os.environ[\"TESSDATA_PREFIX\"] = f\"{SCRIPT_DIR}/models/tessdata\"\n", + "os.environ[\"TMPDIR\"] = f\"{SCRIPT_DIR}/tmp\"\n", + "\n", + "def display_loading_bar(total_steps):\n", + " print(\"\\n--- LOADING... Total steps:\", total_steps, \" ---\")\n", + "\n", + "def update_progress(step, total_steps):\n", + " bar_length = 20\n", + " progress_percent = int((step / total_steps) * 100)\n", + " progress_filled = int(bar_length * step / total_steps)\n", + " bar = '=' * progress_filled + '>' + ' ' * max(bar_length - progress_filled - 1, 0)\n", + " print(f\"--- PROGRESS: [{bar}] {progress_percent}% ({step}/{total_steps}) ---\")\n", + "\n", + "def run_command_with_log(command, description, step_progress, total_step_commands):\n", + " \"\"\"Runs a shell command and logs progress, outcome and duration.\"\"\"\n", + " print(f\"\\n{step_progress}/{total_step_commands}: {description}...\")\n", + " start_time = time.time()\n", + " try:\n", + " process = subprocess.Popen(command, shell=True,\n", + " stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n", + " stdout, stderr = process.communicate()\n", + " duration = f\"{time.time() - start_time:.2f}\"\n", + " if process.returncode != 0:\n", + " print(f\"{CROSS_MARK} Command failed: {description} (Took {duration}s)\")\n", + " print(f\" Command: {command}\")\n", + " print(f\" Error Output:\\n{stderr.decode()}\")\n", + " return False\n", + " else:\n", + " update_progress(step_progress, total_step_commands)\n", + " print(f\"{CHECK_MARK} {step_progress}/{total_step_commands} completed: {description} (Took {duration}s)\")\n", + " return True\n", + " except Exception as e:\n", + " duration = f\"{time.time() - start_time:.2f}\"\n", + " print(f\"{CROSS_MARK} Error during: {description} (Took {duration}s) — {e}\")\n", + " return False\n", + "\n", + "\n", + "# ── Step 1 : OS-level packages ────────────────────────────────────────────────\n", + "# Mirrors HOST_PROGRAMS from the bash script + Calibre's special installer\n", + "os_install_commands = [\n", + " (\"apt-get update -qq\",\n", + " \"Update package lists\"),\n", + " (\"apt-get install -y -qq libxcb-cursor0 libegl1 libopengl0\",\n", + " \"Install Calibre display libraries (libxcb-cursor0, libegl1, libopengl0)\"),\n", + " (\"sudo -v && wget -nv -O- https://download.calibre-ebook.com/linux-installer.sh | sudo sh /dev/stdin\",\n", + " \"Download & install Calibre\"),\n", + " (\"apt-get install -y -qq ffmpeg\",\n", + " \"Install ffmpeg\"),\n", + " (\"apt-get install -y -qq mediainfo\",\n", + " \"Install mediainfo\"),\n", + " (\"apt-get install -y -qq nodejs\",\n", + " \"Install nodejs\"),\n", + " (\"apt-get install -y -qq espeak-ng\",\n", + " \"Install espeak-ng\"),\n", + " (\"apt-get install -y -qq sox\",\n", + " \"Install sox\"),\n", + " (\"apt-get install -y -qq tesseract-ocr tesseract-ocr-eng\",\n", + " \"Install Tesseract OCR + English language pack\"),\n", + " # mecab + unidic (for Japanese support, same as old notebook)\n", + " (\"apt-get install -y -qq mecab libmecab-dev mecab-ipadic-utf8\",\n", + " \"Install mecab (Japanese text analysis)\"),\n", + " # Rust is required by some pip packages (e.g. tokenizers)\n", + " (\"curl -fsSL https://sh.rustup.rs | sh -s -- -y --quiet && \"\n", + " \"echo 'source $HOME/.cargo/env' >> ~/.bashrc\",\n", + " \"Install Rust (required by some Python packages)\"),\n", + "]\n", + "\n", + "# ── Step 2 : Git clone ────────────────────────────────────────────────────────\n", + "git_commands = [\n", + " (\"git clone --depth=1 https://github.com/DrewThomasson/ebook2audiobook.git /content/ebook2audiobook\",\n", + " \"Git clone ebook2audiobook\"),\n", + "]\n", + "\n", + "# ── Step 3 : Python packages (mirrors install_python_packages()) ─────────────\n", + "# llvmlite/numba must be installed first as pre-built binaries;\n", + "# then the rest of requirements.txt is installed line-by-line.\n", + "# unidic download closes out the step.\n", + "pip_commands = [\n", + " (\"pip install -q --upgrade pip setuptools wheel\",\n", + " \"Upgrade pip / setuptools / wheel\"),\n", + " (\"pip install -q --upgrade llvmlite numba --only-binary=:all:\",\n", + " \"Install llvmlite & numba (pre-built binaries only)\"),\n", + " (\"pip install -q --upgrade --no-cache-dir \"\n", + " \"-r /content/ebook2audiobook/requirements.txt\",\n", + " \"Install Python requirements from requirements.txt\"),\n", + " (\"python -m unidic download\",\n", + " \"Download Unidic dictionary data\"),\n", + "]\n", + "\n", + "\n", + "# ── Helper: sitecustomize hook (mirrors check_sitecustomized()) ───────────────\n", + "def install_sitecustomize():\n", + " src = f\"{SCRIPT_DIR}/components/sitecustomize.py\"\n", + " dst_dir = sysconfig.get_paths()[\"purelib\"]\n", + " dst = os.path.join(dst_dir, \"sitecustomize.py\")\n", + " if not os.path.exists(src):\n", + " print(f\"{CROSS_MARK} sitecustomize.py source not found at {src}, skipping.\")\n", + " return False\n", + " if not os.path.exists(dst) or os.path.getmtime(src) > os.path.getmtime(dst):\n", + " shutil.copy2(src, dst)\n", + " print(f\"{CHECK_MARK} Installed sitecustomize.py hook → {dst}\")\n", + " else:\n", + " print(f\"{CHECK_MARK} sitecustomize.py already up-to-date.\")\n", + " return True\n", + "\n", + "\n", + "# ════════════════════════════════════════════════════════════════════════════\n", + "# EXECUTION\n", + "# ════════════════════════════════════════════════════════════════════════════\n", + "\n", + "# --- Step 1: OS packages ---\n", + "print(\"\\n--- Step 1: OS-Level Installations ---\")\n", + "print(\"Installs system packages required by the bash script. (~3-5 min)\")\n", + "display_loading_bar(len(os_install_commands))\n", + "step1_ok = True\n", + "for i, (cmd, desc) in enumerate(os_install_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(os_install_commands)):\n", + " step1_ok = False\n", + " break\n", + "\n", + "# Activate Rust for the current session after installation\n", + "cargo_env = os.path.expanduser(\"~/.cargo/env\")\n", + "if os.path.exists(cargo_env):\n", + " os.environ[\"PATH\"] = os.path.expanduser(\"~/.cargo/bin\") + \":\" + os.environ.get(\"PATH\", \"\")\n", + "\n", + "if step1_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 1: OS-Level Installations — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 1: OS-Level Installations — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 2: Git Clone ---\n", + "print(\"\\n--- Step 2: Git Clone ---\")\n", + "display_loading_bar(len(git_commands))\n", + "step2_ok = True\n", + "for i, (cmd, desc) in enumerate(git_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(git_commands)):\n", + " step2_ok = False\n", + " break\n", + "\n", + "if step2_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 2: Git Clone — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 2: Git Clone — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 3: Python packages ---\n", + "print(\"\\n--- Step 3: Python Package Installation ---\")\n", + "print(\"Mirrors install_python_packages() from the bash script. (~3-5 min)\")\n", + "display_loading_bar(len(pip_commands))\n", + "step3_ok = True\n", + "for i, (cmd, desc) in enumerate(pip_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(pip_commands)):\n", + " step3_ok = False\n", + " break\n", + "\n", + "if step3_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 3: Python Package Installation — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 3: Python Package Installation — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 4: sitecustomize hook ---\n", + "print(\"\\n--- Step 4: Installing sitecustomize.py hook ---\")\n", + "install_sitecustomize()\n", + "\n", + "\n", + "# --- Step 5: Create required directories ---\n", + "print(\"\\n--- Step 5: Creating required directories ---\")\n", + "for d in [\"models\", \"models/tessdata\", \"tmp\", \"run\", \"audiobooks\", \"ebooks\", \"voices\"]:\n", + " os.makedirs(f\"{SCRIPT_DIR}/{d}\", exist_ok=True)\n", + "os.chmod(f\"{SCRIPT_DIR}/tmp\", 0o777)\n", + "print(f\"{CHECK_MARK} Directories ready.\")\n", + "\n", + "\n", + "# --- Step 6: Run App ---\n", + "print(\"\\n--- Step 6: Launch ebook2audiobook ---\")\n", + "print(\"Starting the Gradio web interface with a public share link...\")\n", + "try:\n", + " # script_mode=native matches the NATIVE branch of the bash script;\n", + " # --share creates the public Gradio tunnel link.\n", + " get_ipython().system(\n", + " \"cd /content/ebook2audiobook && \"\n", + " \"python -u app.py --script_mode native --share\"\n", + " )\n", + "except Exception as e:\n", + " print(f\"{CROSS_MARK} Error starting app.py: {e}\")\n", + "\n", + "print(\"\\n--- All Steps Completed ---\")\n", + "print(\"Check the output above for the public Gradio URL.\")\n" + ], + "execution_count": null, + "outputs": [] + } + ] +} diff --git a/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb b/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb new file mode 100644 index 0000000..5dd0c2c --- /dev/null +++ b/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb @@ -0,0 +1,159 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Welcome to the *xtts*-finetune-webui gradio gui!\n", + "\n", + "This webui is a slightly modified copy of the official webui for finetune xtts.\n", + "\n", + "If you are looking for an option for normal XTTS use look here https://github.com/daswer123/xtts-webui" + ], + "metadata": { + "id": "OVjEG_yGoC2W" + } + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "44HpAIVRfJve", + "collapsed": true, + "cellView": "form" + }, + "outputs": [], + "source": [ + "# @title 🛠️ Install requirments\n", + "#!DEBIAN_FRONTEND=noninteractive\n", + "!sudo apt-get update # && sudo apt-get -y upgrade\n", + "!sudo apt-get -y install libegl1\n", + "!sudo apt-get -y install libopengl0\n", + "!sudo apt-get -y install libxcb-cursor0\n", + "!pip install -r https://raw.githubusercontent.com/daswer123/xtts-finetune-webui/main/requirements.txt\n", + "!pip install gradio==4.44.1\n", + "!pip install fastapi==0.103.1\n", + "!pip install pydantic==2.3.0\n", + "\n", + "#More requirements\n", + "!nvcc --version #check cuda version if things break\n", + "!pip uninstall torch torchvision torchaudio -y\n", + "!pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121\n" + ] + }, + { + "cell_type": "code", + "source": [ + "# @title 🚀 Run interface\n", + "%cd /content/\n", + "!git clone https://github.com/DrewThomasson/xtts-finetune-webui.git\n", + "%cd /content/xtts-finetune-webui\n", + "!python xtts_demo.py --share" + ], + "metadata": { + "id": "62Da1Q5AgN3W", + "cellView": "form" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import shutil\n", + "import requests\n", + "import os\n", + "from tqdm import tqdm # Progress bar library\n", + "\n", + "# Define the paths\n", + "finetune_dir = '/content/xtts-finetune-webui/finetune_models/ready' # @param {type:\"string\"}\n", + "dataset_dir = '/content/xtts-finetune-webui/finetune_models/dataset' # @param {type:\"string\"}\n", + "\n", + "# Create a temporary directory to collect both folders before zipping\n", + "temp_dir = \"/content/temp_finetune_dataset\"\n", + "os.makedirs(temp_dir, exist_ok=True)\n", + "\n", + "# Copy both directories into the temporary directory with a progress bar\n", + "def copy_with_progress(src, dst):\n", + " total_files = sum(len(files) for _, _, files in os.walk(src))\n", + " with tqdm(total=total_files, desc=f\"Copying {os.path.basename(src)}\") as pbar:\n", + " for root, _, files in os.walk(src):\n", + " rel_path = os.path.relpath(root, src)\n", + " target_path = os.path.join(dst, rel_path)\n", + " os.makedirs(target_path, exist_ok=True)\n", + " for file in files:\n", + " shutil.copy(os.path.join(root, file), target_path)\n", + " pbar.update(1)\n", + "\n", + "copy_with_progress(finetune_dir, os.path.join(temp_dir, \"ready\"))\n", + "copy_with_progress(dataset_dir, os.path.join(temp_dir, \"dataset\"))\n", + "\n", + "# Create a zip file of the combined directories with progress\n", + "zip_filename = \"finetune_and_dataset.zip\"\n", + "with tqdm(total=100, desc=\"Zipping files\") as pbar:\n", + " shutil.make_archive(\"finetune_and_dataset\", 'zip', root_dir=temp_dir)\n", + " pbar.update(100)\n", + "\n", + "# Define a function to stream the upload with a progress bar\n", + "def upload_with_progress(file_path, url):\n", + " file_size = os.path.getsize(file_path)\n", + " with open(file_path, 'rb') as f, tqdm(\n", + " total=file_size, unit='B', unit_scale=True, desc=\"Uploading\"\n", + " ) as progress:\n", + " response = requests.post(\n", + " url,\n", + " files={\"file\": (file_path, f)},\n", + " stream=True,\n", + " headers={\"Connection\": \"keep-alive\"},\n", + " )\n", + " # Update the progress bar as chunks are sent\n", + " for chunk in response.iter_content(chunk_size=4096):\n", + " if chunk:\n", + " progress.update(len(chunk))\n", + " return response\n", + "\n", + "# Upload the zip file to file.io with a progress bar\n", + "response = upload_with_progress(zip_filename, \"https://file.io/?expires=1d\")\n", + "\n", + "# Parse the response and display the download link\n", + "if response.status_code == 200:\n", + " download_link = response.json().get('link', 'Error: No link found.')\n", + " print(f\"Your file is ready: {download_link}\")\n", + "else:\n", + " print(f\"Failed to upload: {response.status_code} - {response.text}\")\n" + ], + "metadata": { + "id": "MYBWgKevr6S3", + "cellView": "form" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb b/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb new file mode 100644 index 0000000..3408a54 --- /dev/null +++ b/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"colab":{"provenance":[],"gpuType":"T4"},"accelerator":"GPU","kaggle":{"accelerator":"gpu","dataSources":[],"dockerImageVersionId":30919,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## Welcome to the *xtts*-finetune-webui gradio gui!\n\nThis webui is a slightly modified copy of the official webui for finetune xtts.\n\nIf you are looking for an option for normal XTTS use look here https://github.com/daswer123/xtts-webui","metadata":{"id":"OVjEG_yGoC2W"}},{"cell_type":"markdown","source":"## Disclamer this version should be considered alpha/beta!\n\n### Potential issues\n- float16 is disabled and float32 is used (not sure how to get float16 to work with kaggle)\n- this doesn't use kaggles persistant output directory as its limited to 20gb make sure to download models before ending sessions\n- the main disk is limited to 57 gb (you can go over it, it wont immediatly stop, but kaggle can crash at anytime)","metadata":{}},{"cell_type":"code","source":"# @title 🛠️ Install requirments\n#!DEBIAN_FRONTEND=noninteractive\n!sudo apt-get update # && sudo apt-get -y upgrade\n!sudo apt-get -y install libegl1\n!sudo apt-get -y install libopengl0\n!sudo apt-get -y install libxcb-cursor0\n!pip install -r https://raw.githubusercontent.com/daswer123/xtts-finetune-webui/main/requirements.txt\n!pip install gradio==4.44.1\n!pip install fastapi==0.103.1\n!pip install pydantic==2.3.0","metadata":{"cellView":"form","id":"44HpAIVRfJve","trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!nvcc --version\n!apt-get install libcudnn9-cuda-12 9.1.0 #fix a dependency issue","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"The code is basically the same as:\n\nhttps://github.com/daswer123/xtts-webui\n\nOnly change to repo is that float16 is changed to float32:\n\nhttps://github.com/Rihcus/xtts-finetune-webui/blob/2345589fb773a32b6f48b8f1aa7f4eca1aab476b/xtts_demo.py#L309","metadata":{}},{"cell_type":"code","source":"# @title 🚀 Run interface\n%cd /tmp/ \n!git clone https://github.com/Rihcus/xtts-finetune-webui #float16 is swapped to float32\n%cd /tmp/xtts-finetune-webui\n!python xtts_demo.py --share","metadata":{"cellView":"form","id":"62Da1Q5AgN3W","trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"This part was from colab version not using it here","metadata":{}},{"cell_type":"code","source":"# import shutil\n# import requests\n# import os\n# from tqdm import tqdm # Progress bar library\n\n# # Define the paths\n# finetune_dir = '/content/xtts-finetune-webui/finetune_models/ready' # @param {type:\"string\"}\n# dataset_dir = '/content/xtts-finetune-webui/finetune_models/dataset' # @param {type:\"string\"}\n\n# # Create a temporary directory to collect both folders before zipping\n# temp_dir = \"/content/temp_finetune_dataset\"\n# os.makedirs(temp_dir, exist_ok=True)\n\n# # Copy both directories into the temporary directory with a progress bar\n# def copy_with_progress(src, dst):\n# total_files = sum(len(files) for _, _, files in os.walk(src))\n# with tqdm(total=total_files, desc=f\"Copying {os.path.basename(src)}\") as pbar:\n# for root, _, files in os.walk(src):\n# rel_path = os.path.relpath(root, src)\n# target_path = os.path.join(dst, rel_path)\n# os.makedirs(target_path, exist_ok=True)\n# for file in files:\n# shutil.copy(os.path.join(root, file), target_path)\n# pbar.update(1)\n\n# copy_with_progress(finetune_dir, os.path.join(temp_dir, \"ready\"))\n# copy_with_progress(dataset_dir, os.path.join(temp_dir, \"dataset\"))\n\n# # Create a zip file of the combined directories with progress\n# zip_filename = \"finetune_and_dataset.zip\"\n# with tqdm(total=100, desc=\"Zipping files\") as pbar:\n# shutil.make_archive(\"finetune_and_dataset\", 'zip', root_dir=temp_dir)\n# pbar.update(100)\n\n# # Define a function to stream the upload with a progress bar\n# def upload_with_progress(file_path, url):\n# file_size = os.path.getsize(file_path)\n# with open(file_path, 'rb') as f, tqdm(\n# total=file_size, unit='B', unit_scale=True, desc=\"Uploading\"\n# ) as progress:\n# response = requests.post(\n# url,\n# files={\"file\": (file_path, f)},\n# stream=True,\n# headers={\"Connection\": \"keep-alive\"},\n# )\n# # Update the progress bar as chunks are sent\n# for chunk in response.iter_content(chunk_size=4096):\n# if chunk:\n# progress.update(len(chunk))\n# return response\n\n# # Upload the zip file to file.io with a progress bar\n# response = upload_with_progress(zip_filename, \"https://file.io/?expires=1d\")\n\n# # Parse the response and display the download link\n# if response.status_code == 200:\n# download_link = response.json().get('link', 'Error: No link found.')\n# print(f\"Your file is ready: {download_link}\")\n# else:\n# print(f\"Failed to upload: {response.status_code} - {response.text}\")\n","metadata":{"cellView":"form","id":"MYBWgKevr6S3","trusted":true},"outputs":[],"execution_count":null}]} diff --git a/Notebooks/kaggle-ebook2audiobook.ipynb b/Notebooks/kaggle-ebook2audiobook.ipynb new file mode 100644 index 0000000..c8166b1 --- /dev/null +++ b/Notebooks/kaggle-ebook2audiobook.ipynb @@ -0,0 +1,321 @@ +{ + "metadata": { + "kernelspec": { + "name": "python3", + "display_name": "Python 3", + "language": "python" + }, + "language_info": { + "name": "python", + "version": "3.10.12", + "mimetype": "text/x-python", + "codemirror_mode": {"name": "ipython", "version": 3}, + "pygments_lexer": "ipython3", + "nbconvert_exporter": "python", + "file_extension": ".py" + }, + "accelerator": "GPU", + "kaggle": { + "accelerator": "gpu", + "dataSources": [], + "dockerImageVersionId": 30918, + "isInternetEnabled": true, + "language": "python", + "sourceType": "notebook", + "isGpuEnabled": true + } + }, + "nbformat_minor": 4, + "nbformat": 4, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## Welcome to the ebook2audiobook Kaggle!\n", + "## Features\n", + "- 🔧 **TTS Engines supported**: XTTSv2, Bark, Fairseq, VITS, Tacotron2, Tortoise, GlowTTS, YourTTS", + "- 📚 **Convert multiple file formats**: .epub, .mobi, .azw3, .fb2, .lrf, .rb, .snb, .tcr, .pdf, .txt, .rtf, .doc, .docx, .html, .odt, .azw, .tiff, .tif, .png, .jpg, .jpeg, .bmp\n", + "- 🔍 **OCR scanning** for files with text pages as images\n", + "- 🔊 **High-quality text-to-speech** from near realtime to near real voice\n", + "- 🗣️ **Optional voice cloning** using your own voice file\n", + "- 🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))\n", + "- 💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**\n", + "- 🎵 **Audiobook output formats**: mono or stereo aac, flac, mp3, m4b, m4a, mp4, mov, ogg, wav, webm\n", + "- 🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))\n", + "- 🧩 **Optional custom model** using your own trained model (XTTSv2 only, other on request)\n", + "- 🎛️ **Fine-tuned preset models** trained by the E2A Team
\n", + " (Contact us if you need additional fine-tuned models, or if you'd like to share yours to the official preset list)", + "## Want to run locally for free? ⬇\n", + "## [Check out the ebook2audiobook github!](https://github.com/DrewThomasson/ebook2audiobook)" + ], + "metadata": {"id": "DKNNnwD-HJwQ"} + }, + { + "cell_type": "code", + "source": [ + "# Update system packages\n", + "!sudo apt-get update -y\n", + "\n", + "# Install prerequisites\n", + "!sudo apt-get install -y software-properties-common\n", + "\n", + "# Add deadsnakes PPA for newer Python versions\n", + "!sudo add-apt-repository -y ppa:deadsnakes/ppa\n", + "!sudo apt-get update -y\n", + "\n", + "# Install Python 3.11 and essentials\n", + "!sudo apt-get install -y python3.11 python3.11-distutils python3.11-venv\n", + "\n", + "# Install pip for Python 3.11\n", + "!wget -q https://bootstrap.pypa.io/get-pip.py\n", + "!python3.11 get-pip.py\n", + "\n", + "# Register Python 3.11 as an alternative\n", + "!sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1\n", + "!sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 2\n", + "\n", + "# Automatically set Python 3.11 as default (no prompt)\n", + "!sudo update-alternatives --set python3 /usr/bin/python3.11\n", + "\n", + "# Verify Python version\n", + "!python3 --version\n", + "\n", + "# Upgrade pip\n", + "!python3 -m pip install --upgrade pip" + ], + "metadata": {"trusted": true}, + "outputs": [], + "execution_count": null + }, + { + "cell_type": "code", + "source": [ + "!python --version" + ], + "metadata": {"trusted": true}, + "outputs": [], + "execution_count": null + }, + { + "cell_type": "code", + "source": [ + "# @title 🚀 Run ebook2audiobook!\n", + "\n", + "import os\n", + "import subprocess\n", + "import time\n", + "import shutil\n", + "import sysconfig\n", + "\n", + "# Emojis for logs\n", + "CHECK_MARK = \"✅\"\n", + "CROSS_MARK = \"❌\"\n", + "\n", + "# Kaggle working directory\n", + "SCRIPT_DIR = \"/kaggle/working/ebook2audiobook\"\n", + "\n", + "# ── Environment variables (mirrors the bash script) ──────────────────────────\n", + "os.environ[\"PYTHONUTF8\"] = \"1\"\n", + "os.environ[\"PYTHONIOENCODING\"] = \"utf-8\"\n", + "os.environ[\"TTS_CACHE\"] = f\"{SCRIPT_DIR}/models\"\n", + "os.environ[\"TESSDATA_PREFIX\"] = f\"{SCRIPT_DIR}/models/tessdata\"\n", + "os.environ[\"TMPDIR\"] = f\"{SCRIPT_DIR}/tmp\"\n", + "\n", + "def display_loading_bar(total_steps):\n", + " print(\"\\n--- LOADING... Total steps:\", total_steps, \" ---\")\n", + "\n", + "def update_progress(step, total_steps):\n", + " bar_length = 20\n", + " progress_percent = int((step / total_steps) * 100)\n", + " progress_filled = int(bar_length * step / total_steps)\n", + " bar = '=' * progress_filled + '>' + ' ' * max(bar_length - progress_filled - 1, 0)\n", + " print(f\"--- PROGRESS: [{bar}] {progress_percent}% ({step}/{total_steps}) ---\")\n", + "\n", + "def run_command_with_log(command, description, step_progress, total_step_commands):\n", + " \"\"\"Runs a shell command and logs progress, outcome and duration.\"\"\"\n", + " print(f\"\\n{step_progress}/{total_step_commands}: {description}...\")\n", + " start_time = time.time()\n", + " try:\n", + " process = subprocess.Popen(command, shell=True,\n", + " stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n", + " stdout, stderr = process.communicate()\n", + " duration = f\"{time.time() - start_time:.2f}\"\n", + " if process.returncode != 0:\n", + " print(f\"{CROSS_MARK} Command failed: {description} (Took {duration}s)\")\n", + " print(f\" Command: {command}\")\n", + " print(f\" Error Output:\\n{stderr.decode()}\")\n", + " return False\n", + " else:\n", + " update_progress(step_progress, total_step_commands)\n", + " print(f\"{CHECK_MARK} {step_progress}/{total_step_commands} completed: {description} (Took {duration}s)\")\n", + " return True\n", + " except Exception as e:\n", + " duration = f\"{time.time() - start_time:.2f}\"\n", + " print(f\"{CROSS_MARK} Error during: {description} (Took {duration}s) — {e}\")\n", + " return False\n", + "\n", + "\n", + "# ── Step 1 : OS-level packages ────────────────────────────────────────────────\n", + "# Mirrors HOST_PROGRAMS from the bash script + Calibre's special installer\n", + "os_install_commands = [\n", + " (\"apt-get update -qq\",\n", + " \"Update package lists\"),\n", + " (\"apt-get install -y -qq libxcb-cursor0 libegl1 libopengl0\",\n", + " \"Install Calibre display libraries (libxcb-cursor0, libegl1, libopengl0)\"),\n", + " (\"sudo -v && wget -nv -O- https://download.calibre-ebook.com/linux-installer.sh | sudo sh /dev/stdin\",\n", + " \"Download & install Calibre\"),\n", + " (\"apt-get install -y -qq ffmpeg\",\n", + " \"Install ffmpeg\"),\n", + " (\"apt-get install -y -qq mediainfo\",\n", + " \"Install mediainfo\"),\n", + " (\"apt-get install -y -qq nodejs\",\n", + " \"Install nodejs\"),\n", + " (\"apt-get install -y -qq espeak-ng\",\n", + " \"Install espeak-ng\"),\n", + " (\"apt-get install -y -qq sox\",\n", + " \"Install sox\"),\n", + " (\"apt-get install -y -qq tesseract-ocr tesseract-ocr-eng\",\n", + " \"Install Tesseract OCR + English language pack\"),\n", + " # mecab + unidic (for Japanese support)\n", + " (\"apt-get install -y -qq mecab libmecab-dev mecab-ipadic-utf8\",\n", + " \"Install mecab (Japanese text analysis)\"),\n", + " # Rust is required by some pip packages (e.g. tokenizers)\n", + " (\"curl -fsSL https://sh.rustup.rs | sh -s -- -y --quiet && \"\n", + " \"echo 'source $HOME/.cargo/env' >> ~/.bashrc\",\n", + " \"Install Rust (required by some Python packages)\"),\n", + "]\n", + "\n", + "# ── Step 2 : Git clone ────────────────────────────────────────────────────────\n", + "git_commands = [\n", + " (\"git clone --depth=1 https://github.com/DrewThomasson/ebook2audiobook.git /kaggle/working/ebook2audiobook\",\n", + " \"Git clone ebook2audiobook\"),\n", + "]\n", + "\n", + "# ── Step 3 : Python packages (mirrors install_python_packages()) ─────────────\n", + "# llvmlite/numba must be installed first as pre-built binaries;\n", + "# then the rest of requirements.txt is installed;\n", + "# unidic download closes out the step.\n", + "pip_commands = [\n", + " (\"python3 -m pip install -q --upgrade pip setuptools wheel\",\n", + " \"Upgrade pip / setuptools / wheel\"),\n", + " (\"python3 -m pip install -q --upgrade llvmlite numba --only-binary=:all:\",\n", + " \"Install llvmlite & numba (pre-built binaries only)\"),\n", + " (\"python3 -m pip install -q --upgrade --no-cache-dir \"\n", + " \"-r /kaggle/working/ebook2audiobook/requirements.txt\",\n", + " \"Install Python requirements from requirements.txt\"),\n", + " (\"python3 -m unidic download\",\n", + " \"Download Unidic dictionary data\"),\n", + "]\n", + "\n", + "\n", + "# ── Helper: sitecustomize hook (mirrors check_sitecustomized()) ───────────────\n", + "def install_sitecustomize():\n", + " src = f\"{SCRIPT_DIR}/components/sitecustomize.py\"\n", + " dst_dir = sysconfig.get_paths()[\"purelib\"]\n", + " dst = os.path.join(dst_dir, \"sitecustomize.py\")\n", + " if not os.path.exists(src):\n", + " print(f\"{CROSS_MARK} sitecustomize.py source not found at {src}, skipping.\")\n", + " return False\n", + " if not os.path.exists(dst) or os.path.getmtime(src) > os.path.getmtime(dst):\n", + " shutil.copy2(src, dst)\n", + " print(f\"{CHECK_MARK} Installed sitecustomize.py hook → {dst}\")\n", + " else:\n", + " print(f\"{CHECK_MARK} sitecustomize.py already up-to-date.\")\n", + " return True\n", + "\n", + "\n", + "# ════════════════════════════════════════════════════════════════════════════\n", + "# EXECUTION\n", + "# ════════════════════════════════════════════════════════════════════════════\n", + "\n", + "# --- Step 1: OS packages ---\n", + "print(\"\\n--- Step 1: OS-Level Installations ---\")\n", + "print(\"Installs system packages required by the bash script. (~3-5 min)\")\n", + "display_loading_bar(len(os_install_commands))\n", + "step1_ok = True\n", + "for i, (cmd, desc) in enumerate(os_install_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(os_install_commands)):\n", + " step1_ok = False\n", + " break\n", + "\n", + "# Activate Rust for the current session after installation\n", + "cargo_env = os.path.expanduser(\"~/.cargo/env\")\n", + "if os.path.exists(cargo_env):\n", + " os.environ[\"PATH\"] = os.path.expanduser(\"~/.cargo/bin\") + \":\" + os.environ.get(\"PATH\", \"\")\n", + "\n", + "if step1_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 1: OS-Level Installations — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 1: OS-Level Installations — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 2: Git Clone ---\n", + "print(\"\\n--- Step 2: Git Clone ---\")\n", + "display_loading_bar(len(git_commands))\n", + "step2_ok = True\n", + "for i, (cmd, desc) in enumerate(git_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(git_commands)):\n", + " step2_ok = False\n", + " break\n", + "\n", + "if step2_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 2: Git Clone — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 2: Git Clone — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 3: Python packages ---\n", + "print(\"\\n--- Step 3: Python Package Installation ---\")\n", + "print(\"Mirrors install_python_packages() from the bash script. (~3-5 min)\")\n", + "display_loading_bar(len(pip_commands))\n", + "step3_ok = True\n", + "for i, (cmd, desc) in enumerate(pip_commands):\n", + " if not run_command_with_log(cmd, desc, i + 1, len(pip_commands)):\n", + " step3_ok = False\n", + " break\n", + "\n", + "if step3_ok:\n", + " print(f\"\\n{CHECK_MARK} Step 3: Python Package Installation — Completed Successfully!\")\n", + "else:\n", + " print(f\"\\n{CROSS_MARK} Step 3: Python Package Installation — Failed. See errors above.\")\n", + "\n", + "\n", + "# --- Step 4: sitecustomize hook ---\n", + "print(\"\\n--- Step 4: Installing sitecustomize.py hook ---\")\n", + "install_sitecustomize()\n", + "\n", + "\n", + "# --- Step 5: Create required directories ---\n", + "print(\"\\n--- Step 5: Creating required directories ---\")\n", + "for d in [\"models\", \"models/tessdata\", \"tmp\", \"run\", \"audiobooks\", \"ebooks\", \"voices\"]:\n", + " os.makedirs(f\"{SCRIPT_DIR}/{d}\", exist_ok=True)\n", + "os.chmod(f\"{SCRIPT_DIR}/tmp\", 0o777)\n", + "print(f\"{CHECK_MARK} Directories ready.\")\n", + "\n", + "\n", + "# --- Step 6: Run App ---\n", + "print(\"\\n--- Step 6: Launch ebook2audiobook ---\")\n", + "print(\"Starting the Gradio web interface with a public share link...\")\n", + "try:\n", + " # script_mode=native matches the NATIVE branch of the bash script;\n", + " # --share creates the public Gradio tunnel link.\n", + " get_ipython().system(\n", + " \"cd /kaggle/working/ebook2audiobook && \"\n", + " \"python3 -u app.py --script_mode native --share\"\n", + " )\n", + "except Exception as e:\n", + " print(f\"{CROSS_MARK} Error starting app.py: {e}\")\n", + "\n", + "print(\"\\n--- All Steps Completed ---\")\n", + "print(\"Check the output above for the public Gradio URL.\")\n" + ], + "metadata": { + "id": "Edxj355K0rUz", + "cellView": "form", + "trusted": true + }, + "outputs": [], + "execution_count": null + } + ] +} diff --git a/README.md b/README.md new file mode 100644 index 0000000..49a1604 --- /dev/null +++ b/README.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU Converter from E-Book to audiobook with chapters and metadata
+using advanced TTS engines and much more.
+Supports voice cloning and 1158 languages! +> [!IMPORTANT] +**This tool is intended for use with non-DRM, legally acquired eBooks only.**
+The authors are not responsible for any misuse of this software or any resulting legal consequences.
+Use this tool responsibly and in accordance with all applicable laws. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Thanks to support ebook2audiobook developers! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Run locally + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + + + Platform + +Docker Pull Count + + +### Run Remotely +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### GUI Interface +![demo_web_gui](assets/demo_web_gui.gif) + +
+ Click to see images of Web GUI + GUI Screen 1 + GUI Screen 2 + GUI Screen 3 +
+ +## Demos + +**New Default Voice Demo** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +
+ More Demos + +**ASMR Voice** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Rainy Day Voice** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett Voice** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough Voice** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Example** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +
+ +## README.md + +## Table of Contents +- [ebook2audiobook](#-ebook2audiobook) +- [Features](#features) +- [GUI Interface](#gui-interface) +- [Demos](#demos) +- [Supported Languages](#supported-languages) +- [Minimum Requirements](#hardware-requirements) +- [Usage](#instructions) + - [Run Locally](#instructions) + - [Launching Gradio Web Interface](#instructions) + - [Basic Headless Usage](#basic-usage) + - [Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload) + - [Help command output](#help-command-output) + - [Run Remotely](#run-remotely) + - [Docker](#docker) + - [Steps to Run](#docker) + +- [Cloned Voices](#cloned-voices) +- [Fine Tuned TTS models](#fine-tuned-tts-models) + - [Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection) + - [Train XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Supported eBook Formats](#supported-ebook-formats) +- [Output Formats](#output-and-process-formats) +- [Revert to older Version](#reverting-to-older-versions) +- [Common Issues](#common-issues) +- [Special Thanks](#special-thanks) +- [Table of Contents](#table-of-contents) + + +## Features +- 🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **TextArea** to convert directly a short text in audio +- 🔍 **OCR scanning** for files with text pages as images +- 🔊 **High-quality text-to-speech** from near realtime to near real voice +- 🗣️ **Optional voice cloning** using your own voice file +- 🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available)) +- 🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Fine-tuned preset models** trained by the E2A Team
+ (Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list) + + +## Hardware Requirements +- 2GB RAM min, 8GB recommended. +- 1GB VRAM min, 4GB recommended. +- Virtualization enabled if running on windows (Docker only). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +* Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc.. + +## Supported Languages +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Supported eBook Formats +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Best results**: `.epub` or `.mobi` for automatic chapter detection + +## Output and process Formats +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Process format can be changed in lib/conf.py + +## SML tags available +- `[break]` — silence (random range **0.3–0.6 sec.**) +- `[pause]` — silence (random range **1.0–1.6 sec.**) +- `[pause:N]` — fixed pause (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI + +**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Before to post an install or bug issue search carefully to the opened and closed issues TAB
+to be sure your issue does not exist already.** + +>[!NOTE] +**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.
+So you should first remove manually any text you don't want to be converted in audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Install / Run ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + Note for MacOS users: homebrew is installed to install missing programs. + + - **Mac Launcher** + Double click `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + Note for Windows users: scoop is installed to install missing programs without administrator privileges. + +1. **Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/` +2. **For Public Link**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**If the script is stopped and run again, you need to refresh your gradio GUI interface
+to let the web page reconnect to the new connection socket.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook --voice --language + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook --voice --language + ``` + + - **[--ebook]**: Path to your eBook file + - **[--voice]**: Voice cloning file path (optional) + - **[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).
+ Default language is eng and --language is optional for default language set in ./lib/lang.py.
+ The ISO-639-1 2 letters codes are also supported. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook --language --custom_model + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook --language --custom_model + ``` + Note: the ref.wav of your custom model is always the voice selected for the conversion + +- ****: Path to `model_name.zip` file, + which must contain (according to the tts engine) all the mandatory files
+ (see ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + + +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _ suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component. +TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Cloned Voices +You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn. +It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you. + +The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially +added to the list, please contact us and we'll add them after review. + +## Fine Tuned TTS models +#### Fine Tune your own XTTSv2 model + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### De-noise training data + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Fine Tuned TTS Collection + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory: + +## Your own Ebook2Audiobook customization +You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make +a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put +back the original one. You must plan the same process for models.py. If you wish to make your own custom model +as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Common Issues: +- My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU is slow (better on server smp CPU) while GPU can have almost real time conversion. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu). +- "I'm having dependency issues" - Just use the docker, its fully self contained and has a headless mode, + add `--help` parameter at the end of the docker run command for more information. +- "I'm getting a truncated audio issue!" - PLEASE MAKE AN ISSUE OF THIS, + we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊 + +## ***** ROADMAP ***** +- All Features open to public Contributions ⭐ +- Any help from people speaking any of the supported languages to help us improve the models ⭐ +- [x] Preview Blocks/Chapters before to start the conversion +- [ ] Edit by sentence converted for surgical text change +- [x] SML tags integration for voice, pause, break, and more changes +- [x] -h -help parameter info in different languages +- [x] OCR scanning for PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf integration +- [ ] [Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Extra Options +- [x] Ebook Translation option +- [x] Output format choices +- [x] Batch ebook folder +- [x] Multiprocessing conversion +- [x] Batch ebook folder conversion +- [x] GPU Device detection +- [x] Denoise any reference audio for upload voice cloning, +- [x] Custom model upload (XTTSv2 only for now. more on request) +- [ ] Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome) +- [ ] Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome) + +#### TTS engines +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Tortoise +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme Translation +- [x] Arabic (ara) +- [x] Chinese (zho) +- [x] English (eng) +- [x] Spanish (spa) +- [x] French (fra) +- [x] German (deu) +- [x] Italian (ita) +- [x] Portuguese (por) +- [x] Polish (pol) +- [x] Turkish (tur) +- [x] Russian (rus) +- [x] Dutch (nld) +- [x] Czech (ces) +- [x] Japanese (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Hungarian (hun) +- [x] Korean (kor) +- [x] Vietnamese (vie) +- [x] Swedish (swe) +- [x] Persian (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesian (ind) +- [x] Slovak (slk) +- [x] Croatian (hrv) + +#### 🐍 OS Compatibility +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) +- For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Python Code normalization information for contributors +- no blank line between code, unless between functions and classes. +- single quote used for all key unless for dict() and json. dict['key'] always called with single quote +- 4 spaces indentation, not tab at all +- strict typing for all functions and its arguments declaration and return values +- no space between the argument and its typing, no space between the function, the "->" and the return value + +Example: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardware donation for beta tests wanted +We accept any kind of hardware to test our development like: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson if you want to help out at all! 😃 + + +## Special Thanks +To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A. \ No newline at end of file diff --git a/README.wehub.md b/README.wehub.md new file mode 100644 index 0000000..5d851d4 --- /dev/null +++ b/README.wehub.md @@ -0,0 +1,7 @@ +# WeHub 来源说明 + +- 原始项目:`DrewThomasson/ebook2audiobook` +- 原始仓库:https://github.com/DrewThomasson/ebook2audiobook +- 导入方式:上游默认分支的最新快照 +- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准 +- 本文件仅用于记录来源,不代表 WeHub 是原项目作者 diff --git a/VERSION.txt b/VERSION.txt new file mode 100644 index 0000000..d5144ba --- /dev/null +++ b/VERSION.txt @@ -0,0 +1 @@ +26.7.9 \ No newline at end of file diff --git a/app.py b/app.py new file mode 100644 index 0000000..55a47d9 --- /dev/null +++ b/app.py @@ -0,0 +1,503 @@ +import argparse, json, socket, shutil, multiprocessing, sys, uuid, copy, warnings + +from pathlib import Path + +from lib.conf import * +from lib.conf_lang import default_language_code, language_mapping, install_info +from lib.conf_models import TTS_ENGINES, default_fine_tuned, default_engine_settings + +warnings.filterwarnings('ignore', category=SyntaxWarning) +warnings.filterwarnings('ignore', category=UserWarning, module='jieba._compat') + +def init_multiprocessing(): + try: + multiprocessing.set_start_method('spawn') + except RuntimeError: + pass + +def check_virtual_env(script_mode:str)->bool: + current_version=sys.version_info[:2] # (major, minor) + search_python_env = str(os.path.basename(sys.prefix)) + if search_python_env == 'python_env' or script_mode == FULL_DOCKER or current_version >= min_python_version and current_version <= max_python_version: + return True + error=f'''*********** +Wrong launch! ebook2audiobook must run in its own virtual environment! +NOTE: If you are running a Docker so you are probably using an old version of ebook2audiobook. +To solve this issue go to download the new version at https://github.com/DrewThomasson/ebook2audiobook +If the directory python_env does not exist in the ebook2audiobook root directory, +run your command with "./ebook2audiobook.command" for Linux and Mac or "ebook2audiobook.cmd" for Windows +to install it all automatically. +{install_info} +***********''' + print(error) + return False + +def check_python_version(script_mode:str)->bool: + if script_mode == BUILD_DOCKER: + return True + current_version = sys.version_info[:2] # (major, minor) + if current_version < min_python_version or current_version > max_python_version: + error = f'''*********** +Wrong launch: Your OS Python version is not compatible! (current: {current_version[0]}.{current_version[1]}) +In order to install and/or use ebook2audiobook correctly you must delete completly the folder python_env +and run "./ebook2audiobook.command" for Linux and Mac or "ebook2audiobook.cmd" for Windows. +{install_info} +***********''' + print(error) + return False + else: + return True + +def is_running_in_container()->bool: + return os.environ.get("IN_DOCKER") == "1" + +def is_port_in_use(port:int)->bool: + with socket.socket(socket.AF_INET,socket.SOCK_STREAM) as s: + return s.connect_ex(('0.0.0.0',port))==0 + +def kill_previous_instances(script_name: str): + current_pid = os.getpid() + this_script_path = os.path.realpath(script_name) + import psutil + for proc in psutil.process_iter(['pid', 'cmdline']): + try: + cmdline = proc.info['cmdline'] + if not cmdline: + continue + # unify case and absolute paths for comparison + joined_cmd = ' '.join(cmdline).lower() + if this_script_path.lower().endswith(script_name.lower()) and \ + (script_name.lower() in joined_cmd) and \ + proc.info['pid'] != current_pid: + print(f"[WARN] Found running instance PID={proc.info['pid']} -> killing it.") + proc.kill() + proc.wait(timeout=3) + except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): + continue + +def register_dlls()->str|bool: + candidates = [ + Path(os.environ['USERPROFILE']) / 'scoop' / 'apps' / 'ffmpeg-shared' / 'current' / 'bin', + Path(os.environ.get('PROGRAMFILES', r'C:\Program Files')) / 'ffmpeg' / 'bin', + Path(os.environ.get('LOCALAPPDATA', '')) / 'Microsoft' / 'WinGet' / 'Links', + ] + found = shutil.which('ffmpeg') + if found: + candidates.append(Path(found).parent) + for p in candidates: + if p and p.is_dir() and any(p.glob('avcodec-*.dll')): + os.add_dll_directory(str(p)) + return str(p) + return False + +def main()->None: + wsl_cmd = '' + wsl_extra = '' + if os.environ.get('DOCKER_IN_WSL', '0') == '1' and os.environ.get('DOCKER_DESKTOP', '0') == '0' and os.environ.get('PODMAN_DESKTOP', '0') == '0': + wsl_cmd = 'wsl --user root --' + if wsl_cmd: + wsl_extra = f'DEVICE_TAG=cu128' + else: + wsl_extra = f'DEVICE_TAG=cu128 &&' + # Argument parser to handle optional parameters with descriptions + parser = argparse.ArgumentParser( + description='Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion.', + epilog=f''' +Example usage: +Windows native mode: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac natvie mode: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng +Docker build image: + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +Docker run image: + Gradio/GUI: + CPU: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + {wsl_cmd} docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + {wsl_cmd} {wsl_extra} docker compose --profile gpu up --no-log-prefix + Run Headless mode: + {wsl_cmd} {wsl_extra} docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + {wsl_cmd} {wsl_extra} podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + {wsl_cmd} {wsl_extra} podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + ''', + formatter_class=argparse.RawTextHelpFormatter + ) + tts_engine_list_keys = [*TTS_ENGINES] + tts_engine_list_values = list(TTS_ENGINES.values()) + all_group = parser.add_argument_group('**** The following options are for container only', 'Optional') + all_group.add_argument(cli_options[0], type=str, help='Mandatory to build a container. The only value is: build_docker.') + all_group.add_argument(cli_options[1], type=str, help='Optional. The only values are: podman and compose. without this option standard docker buildx is used.') + parser.add_argument(cli_options[2], type=str, help='Session to resume the conversion in case of interruption, crash, or reuse of custom models and custom cloning voices.') + gui_group = parser.add_argument_group('**** The following option are for gradio/gui mode only', 'Optional') + gui_group.add_argument(cli_options[3], action='store_true', help='''Enable a public shareable Gradio link.''') + headless_group = parser.add_argument_group('**** The following cli_options are for --headless mode only') + headless_group.add_argument(cli_options[4], action='store_true', help='''Run the script in headless mode''') + headless_group.add_argument(cli_options[5], type=str, help='''Path to the ebook file for conversion. Cannot be used when --ebooks_dir or --text is present.''') + headless_group.add_argument(cli_options[6], type=str, help=f'''Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook or --text is present.''') + headless_group.add_argument(cli_options[7], type=str, help='''Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present.''') + headless_group.add_argument(cli_options[8], type=str, default=default_language_code, help=f'''Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py''') + headless_optional_group = parser.add_argument_group('optional parameters') + headless_optional_group.add_argument(cli_options[9], type=str, default=None, metavar='ISO3', help='''(Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _ suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file).''') + headless_optional_group.add_argument(cli_options[10], type=str, default=None, help='''(Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present.''') + headless_optional_group.add_argument(cli_options[11], type=str, default=None, help='''(Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null}''') + headless_optional_group.add_argument(cli_options[12], type=str, default=default_device, choices=list(devices.keys())+[k.lower() for k in devices.keys()], help=f'''(Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available.''') + headless_optional_group.add_argument(cli_options[13], type=str, default=TTS_ENGINES['XTTS'], choices=tts_engine_list_keys+tts_engine_list_values, help=f'''(Optional) Preferred TTS engine (available are: {tts_engine_list_keys+tts_engine_list_values}. + Default depends on the selected language. The tts engine should be compatible with the chosen language''') + headless_optional_group.add_argument(cli_options[14], type=str, default=None, help=f'''(Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py''') + headless_optional_group.add_argument(cli_options[15], type=str, default=default_fine_tuned, help='''(Optional) Fine tuned model path. Default is builtin model.''') + headless_optional_group.add_argument(cli_options[16], type=str, default=default_output_format, help=f'''(Optional) Output audio format. Default is {default_output_format} set in ./lib/conf.py''') + headless_optional_group.add_argument(cli_options[17], type=str, default=default_output_channel, help=f'''(Optional) Output audio channel. Default is {default_output_channel} set in ./lib/conf.py''') + headless_optional_group.add_argument(cli_options[18], type=float, default=default_engine_settings[TTS_ENGINES['XTTS']]['temperature'], help=f"""(xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs.""") + headless_optional_group.add_argument(cli_options[19], type=float, default=default_engine_settings[TTS_ENGINES['XTTS']]['length_penalty'], help=f"""(xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models.""") + headless_optional_group.add_argument(cli_options[20], type=int, default=default_engine_settings[TTS_ENGINES['XTTS']]['num_beams'], help=f"""(xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[21], type=float, default=default_engine_settings[TTS_ENGINES['XTTS']]['repetition_penalty'], help=f"""(xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[22], type=int, default=default_engine_settings[TTS_ENGINES['XTTS']]['top_k'], help=f"""(xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[23], type=float, default=default_engine_settings[TTS_ENGINES['XTTS']]['top_p'], help=f"""(xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model.""") + headless_optional_group.add_argument(cli_options[24], type=float, default=default_engine_settings[TTS_ENGINES['XTTS']]['speed'], help=f"""(xtts only, optional) Speed factor for the speech generation. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[25], action='store_true', help=f"""(xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[26], type=float, default=default_engine_settings[TTS_ENGINES['BARK']]['text_temp'], help=f"""(bark only, optional) Text Temperature for the model. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[27], type=float, default=default_engine_settings[TTS_ENGINES['BARK']]['waveform_temp'], help=f"""(bark only, optional) Waveform Temperature for the model. + Default to config.json model.""") + headless_optional_group.add_argument(cli_options[28], type=str, help=f'''(Optional) Path to the output directory. Default is set in ./lib/conf.py''') + headless_optional_group.add_argument(cli_options[29], action='version', version=f'ebook2audiobook version {prog_version}', help='''Show the version of the script and exit''') + headless_optional_group.add_argument(cli_options[30], action='store_true', help=argparse.SUPPRESS) + headless_optional_group.add_argument(cli_options[31], action='store_true', help=argparse.SUPPRESS) + + for arg in sys.argv: + if arg.startswith('--') and arg not in cli_options: + error = f'Error: Unrecognized option "{arg}"' + print(error) + sys.exit(1) + + args = vars(parser.parse_args()) + + if not 'help' in args: + args['script_mode'] = args['script_mode'] if args['script_mode'] else NATIVE + args['share'] = args['share'] if args['share'] else False + args['ebook_mode'] = 'single' + args['ebook_list'] = None + + if args['script_mode'] == FULL_DOCKER and not is_running_in_container(): + error = f'{FULL_DOCKER} is only an internal option for the docker itself. Use {BUILD_DOCKER} if you need to build a docker image.' + print(error) + sys.exit(1) + elif (not check_virtual_env(args['script_mode'])) or (not check_python_version(args['script_mode'])): + sys.exit(1) + elif args.get('headless', False) and args.get('share', False): + error = '--share option is only allowed in non-headless mode.' + print(error) + sys.exit(1) + elif not args.get('headless', False) and is_port_in_use(interface_port): + # Check if the port is already in use to prevent multiple launches + error = f'Error: Port {interface_port} is already in use. The web interface may already be running.' + print(error) + sys.exit(1) + + print(f"v{prog_version} {args['script_mode']} mode") + + from lib.classes.device_installer import DeviceInstaller + manager = DeviceInstaller() + device_info_str = manager.check_device_info(args['script_mode']) + if args['script_mode'] == NATIVE: + if manager.install_device_packages(device_info_str) == 1: + error = f'Error: Could not installed device packages!' + print(error) + sys.exit(1) + result = manager.install_python_packages() + if result == 1: + sys.exit(1) + elif args['script_mode'] == FULL_DOCKER: + if manager.check_voices() == 1: + error = f'Error: Could not download voices!' + print(error) + sys.exit(1) + + if DEVICE_SYSTEM == systems['WINDOWS'] and not register_dlls(): + error = 'WARNING: shared DLLs not found. aborting…' + print(error) + sys.exit(1) + + import lib.core as c + + c.context = c.SessionContext() if c.context is None else c.context + c.context_tracker = c.SessionTracker() if c.context_tracker is None else c.context_tracker + c.active_sessions = set() if c.active_sessions is None else c.active_sessions + error = '' + if args.get('headless', False): + args['id'] = args['workflow'] if args['workflow'] else args['session'] if args['session'] else str(uuid.uuid4()) + if args['id'] == workflow_id or not args['session']: + session = c.context.set_session(args['id']) + else: + session_dir = os.path.join(tmp_dir, f"proc-{args['id']}") + session = c.context.get_session(args['id']) + if not os.path.exists(session_dir) and not session or (session and not session.get('id', False)): + error = 'Session expired or does not exist!' + print(error) + sys.exit(1) + session = c.context.set_session(args['id']) + if not c.context_tracker.start_session(args['id']): + error = 'Session could not start!' + print(error) + sys.exit(1) + args['is_gui_process'] = False + args['blocks_preview'] = False + args['device'] = devices.get(args['device'].upper(), {}).get('proc') or devices['CPU']['proc'] + args['tts_engine'] = TTS_ENGINES[args['tts_engine']] if args['tts_engine'] in TTS_ENGINES.keys() else args['tts_engine'] if args['tts_engine'] in TTS_ENGINES.values() else None + args['output_split'] = default_output_split + args['output_split_hours'] = default_output_split_hours + args['xtts_temperature'] = args['temperature'] + args['xtts_length_penalty'] = args['length_penalty'] + args['xtts_num_beams'] = args['num_beams'] + args['xtts_repetition_penalty'] = args['repetition_penalty'] + args['xtts_top_k'] = args['top_k'] + args['xtts_top_p'] = args['top_p'] + args['xtts_speed'] = args['speed'] + args['xtts_enable_text_splitting'] = False + args['bark_text_temp'] = args['text_temp'] + args['bark_waveform_temp'] = args['waveform_temp'] + args['translate_enabled'] = False + _user_translate_raw = args.get('translate') + args['translate'] = None + args['translate_iso1'] = None + if _user_translate_raw: + from iso639 import Lang + tgt = str(_user_translate_raw).strip().lower() + try: + if len(tgt) in (2, 3): + ld = Lang(tgt) + if ld: + tgt = ld.pt3 + except Exception: + pass + if not tgt or tgt not in language_mapping.keys(): + error = f"Error: --translate target '{_user_translate_raw}' is not a supported language." + print(error) + sys.exit(1) + if tgt == args.get('language'): + print(f"[translate] target equals source ({tgt}), translation skipped.") + else: + try: + tgt_iso1 = Lang(tgt).pt1 + except Exception: + tgt_iso1 = None + if not tgt_iso1: + error = f"Error: --translate target '{tgt}' has no iso639-1 mapping." + print(error) + sys.exit(1) + args['translate_enabled'] = True + args['translate'] = tgt + args['translate_iso1'] = tgt_iso1 + # ------------------------------------------------------------------------- + specified_input = sum( + args.get(k, None) is not None + for k in ('ebook', 'ebooks_dir', 'text') + ) + if specified_input > 1: + error = 'Error: You can only specify one of --ebook, --ebooks_dir, or --text in headless mode.' + else: + if args.get('voice'): + if os.path.exists(args['voice']): + args['voice'] = os.path.abspath(args['voice']) + if args.get('custom_model', None) is not None: + if os.path.exists(args['custom_model']): + args['custom_model'] = os.path.abspath(args['custom_model']) + if args.get('output_dir', None) is not None and not os.path.exists(args['output_dir']): + error = 'Error: --output_dir path does not exist.' + elif args.get('ebooks_dir', None) is not None: + args['ebook_mode'] = 'directory' + args['ebooks_dir'] = os.path.abspath(args['ebooks_dir']) + if not os.path.exists(args['ebooks_dir']): + error = f"Error: The provided --ebooks_dir {args['ebooks_dir']} does not exist." + else: + # --- voice_map: load the optional per-file override map --- + voice_map:dict = {} + if args.get('voice_map'): + voice_map_path = os.path.abspath(args['voice_map']) + if not os.path.exists(voice_map_path): + error = f'Error: The provided --voice_map {voice_map_path} does not exist.' + else: + try: + with open(voice_map_path, 'r', encoding='utf-8') as f: + raw = json.load(f) + if not isinstance(raw, dict): + error = 'Error: --voice_map JSON must be an object {ebook_path: voice_path}.' + else: + voice_map = {} + for k, v in raw.items(): + normalized_key = os.path.abspath(k) if os.path.isabs(k) else k + voice_map[normalized_key] = os.path.abspath(v) if v else None + except Exception as e: + error = f'Error: Failed to parse --voice_map: {e}' + if not error: + # Persist the map onto the session so resolve_voice() can read it. + c.context.sessions[args['id']]['voice_map'] = voice_map + default_voice = args.get('voice') + # Filter and sort upfront: ebook_list becomes the authoritative to-process set. + # sorted() gives reproducible ordering across Linux/macOS/Windows. + all_entries = sorted(os.listdir(args['ebooks_dir'])) + args['ebook_list'] = [] + for name in all_entries: + abs_path = os.path.abspath(os.path.join(args['ebooks_dir'], name)) + if not os.path.isfile(abs_path): + continue + if not any(name.endswith(ext) for ext in ebook_formats): + print(f'{name} skipped (unsupported format)') + continue + args['ebook_list'].append(abs_path) + if not args['ebook_list']: + error = 'Error: No supported ebook files found in --ebooks_dir.' + else: + ebook_list = copy.deepcopy(args['ebook_list']) + for file in ebook_list: + c.context.sessions[args['id']]['status'] = c.status_tags['READY'] + c.reset_ebook_session(args['id'], force=True, filter_keys=False) + args['ebook_src'] = file + # Per-file voice resolution: abs-path override -> basename override -> default + override = voice_map.get(file) or voice_map.get(os.path.basename(file)) + if override and not os.path.exists(override): + print(f'--voice_map: override for {Path(file).name} ({override}) not found, falling back to --voice') + override = None + args['voice'] = override or default_voice + progress_status, passed = c.convert_ebook(args) + if passed: + args['ebook_list'].remove(file) + else: + error = progress_status + break + elif args.get('ebook', None) is not None: + args['ebook_mode'] = 'single' + args['ebook_src'] = os.path.abspath(args['ebook']) + if not os.path.exists(args['ebook_src']): + error = f"Error: The provided --ebook {args['ebook_src']} does not exist." + else: + progress_status, passed = c.convert_ebook(args) + c.context.sessions[args['id']]['status'] = c.status_tags['READY'] + c.reset_ebook_session(args['id'], force=True, filter_keys=False) + if not passed: + error = progress_status + elif args.get('text', None) is not None: + args['ebook_mode'] = 'text' + args['ebook_textarea'] = args['text'].strip() + if not args['ebook_textarea']: + error = f'Error: The --text is empty.' + elif len(args['ebook_textarea']) > max_ebook_textarea_length: + error = f'Error: --text input exceeds {max_ebook_textarea_length} characters.' + else: + progress_status, passed = c.convert_ebook(args) + c.context.sessions[args['id']]['status'] = c.status_tags['READY'] + c.reset_ebook_session(args['id'], force=True, filter_keys=False) + if not passed: + error = progress_status + else: + error = 'Error: In headless mode, you must specify either an ebook file using --ebook, ebook directory using --ebooks_dir or a raw text using --text.' + else: + args['is_gui_process'] = True + passed_arguments = sys.argv[1:] + allowed_arguments = {'--share', '--script_mode'} + passed_args_set = {arg for arg in passed_arguments if arg.startswith('--')} + if passed_args_set.issubset(allowed_arguments): + try: + from lib.gradio import build_interface + c.progress_bar = c.gr.Progress(track_tqdm=False) + app = build_interface(args) + if app is not None: + app.queue( + default_concurrency_limit=interface_concurrency_limit + ).launch( + debug=bool(int(os.environ.get('GRADIO_DEBUG', '0'))), + show_error=debug_mode, favicon_path='./favicon.ico', + server_name=interface_host, + server_port=interface_port, + share= args['share'], + max_file_size=max_upload_size + ) + except OSError as e: + error = f'Connection error: {e}' + c.exception_alert(None, error) + except socket.error as e: + error = f'Socket error: {e}' + c.exception_alert(None, error) + except KeyboardInterrupt: + error = 'Server interrupted by user. Shutting down...' + c.exception_alert(None, error) + except Exception as e: + error = f'An unexpected error occurred: {e}' + c.exception_alert(None, error) + else: + error = 'Error: In GUI mode, no option or only --share can be passed' + if error: + print(error) + sys.exit(1) + +if __name__ == '__main__': + init_multiprocessing() + main() diff --git a/assets/David_Attenborough_voice_Demo.mp4 b/assets/David_Attenborough_voice_Demo.mp4 new file mode 100644 index 0000000..6f9860a Binary files /dev/null and b/assets/David_Attenborough_voice_Demo.mp4 differ diff --git a/assets/Google Colab Restart Runtime pic.png b/assets/Google Colab Restart Runtime pic.png new file mode 100644 index 0000000..ee54271 Binary files /dev/null and b/assets/Google Colab Restart Runtime pic.png differ diff --git a/assets/Rainy_Day_voice_Demo.mp4 b/assets/Rainy_Day_voice_Demo.mp4 new file mode 100644 index 0000000..4b6ae8c Binary files /dev/null and b/assets/Rainy_Day_voice_Demo.mp4 differ diff --git a/assets/demo_web_gui.gif b/assets/demo_web_gui.gif new file mode 100644 index 0000000..ca5075e Binary files /dev/null and b/assets/demo_web_gui.gif differ diff --git a/assets/gui_1.png b/assets/gui_1.png new file mode 100644 index 0000000..e2b9fd3 Binary files /dev/null and b/assets/gui_1.png differ diff --git a/assets/gui_2.png b/assets/gui_2.png new file mode 100644 index 0000000..45bb1eb Binary files /dev/null and b/assets/gui_2.png differ diff --git a/assets/gui_3.png b/assets/gui_3.png new file mode 100644 index 0000000..3e2ac2b Binary files /dev/null and b/assets/gui_3.png differ diff --git a/audiobooks/cli/.gitkeep b/audiobooks/cli/.gitkeep new file mode 100755 index 0000000..e69de29 diff --git a/audiobooks/gui/gradio/.gitkeep b/audiobooks/gui/gradio/.gitkeep new file mode 100755 index 0000000..e69de29 diff --git a/audiobooks/gui/host/.gitkeep b/audiobooks/gui/host/.gitkeep new file mode 100755 index 0000000..e69de29 diff --git a/components/E2A-SML/Dockerfile b/components/E2A-SML/Dockerfile new file mode 100644 index 0000000..d56c707 --- /dev/null +++ b/components/E2A-SML/Dockerfile @@ -0,0 +1,27 @@ +FROM python:3.10-slim + +# Install system dependencies (Calibre for ebook conversion) +RUN apt-get update && apt-get install -y --no-install-recommends \ + calibre \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Install Python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Download spaCy English model +RUN python -m spacy download en_core_web_sm + +# Copy application code +COPY . . + +# Default mount point for ebook2audiobook +RUN mkdir -p /ebook2audiobook + +# Expose Gradio default port +EXPOSE 7861 + +# Default: launch the web GUI accessible from outside the container +CMD ["python", "cli.py", "--gui", "--host", "0.0.0.0"] diff --git a/components/E2A-SML/README.md b/components/E2A-SML/README.md new file mode 100644 index 0000000..d77bb7b --- /dev/null +++ b/components/E2A-SML/README.md @@ -0,0 +1,208 @@ +# 📚 SML Book Dialog Extractor + +Uses [BookNLP](https://github.com/DrewThomasson/booknlp) to analyze books, extract character dialog, and generate **SML-formatted output** for multi-speaker audiobook generation with [ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook). + +## ✨ Features + +- **Automatic character detection** — identifies characters, their gender, and age category +- **Dialog attribution** — determines who speaks each line of dialog +- **SML output** — generates `[voice:]...[/voice]` tagged text compatible with ebook2audiobook +- **Voice auto-assignment** — matches characters to appropriate voices from the ebook2audiobook voice library based on gender and age +- **Web GUI** — Gradio-based web interface for easy voice assignment and preview +- **Headless CLI** — full command-line interface for batch/automated processing +- **Docker support** — fully containerized with all dependencies pre-installed +- **Multiple formats** — supports .txt, .epub, .mobi, .pdf, .html, .fb2, .azw, .azw3 (non-txt requires [Calibre](https://calibre-ebook.com/download)) + +## 🐳 Docker (Recommended) + +The easiest way to run the tool — all dependencies (BookNLP, spaCy, Calibre, Gradio) are pre-installed. + +### Quick Start with Docker Compose + +```bash +# 1. Build and run +docker compose up --build +``` + +Open http://localhost:7861 in your browser. The ebook2audiobook path is pre-filled as `/ebook2audiobook`. + +### Docker CLI + +```bash +# Build the image +docker build -t sml-extractor . + +# Run the web GUI (mount your ebook2audiobook folder) +docker run -p 7861:7861 -v $(pwd)/../..:/ebook2audiobook sml-extractor + +# Run headless mode +docker run -v $(pwd)/../..:/ebook2audiobook -v ./output:/app/output \ + -v ./mybook.txt:/app/mybook.txt \ + sml-extractor python cli.py /app/mybook.txt -o /app/output +``` + +## 🚀 Local Installation + +### Installation + +```bash +git clone https://github.com/DrewThomasson/ebook2audiobook.git +cd ebook2audiobook +./ebook2audiobook.command #Mac/Linux or ebook2audiobook.cmd #Window | locally install ebook2audiobook first +conda activate ./python_env # Activate the created python env for E2A +cd ebook2audiobook/components/E2A-SML # Go into E2A dir +python -m spacy download en_core_web_sm # Download en_core_web_sm +``` + +### Web GUI + +```bash +python cli.py --gui +``` + +Opens a browser-based interface where you can: +1. Upload a book file +2. View detected characters with their gender/age +3. Assign voices (auto or manual) +4. Generate and download SML output + +### Command Line (Headless) + +```bash +# Basic - analyze a book and generate SML output +python cli.py mybook.txt + +# With custom output directory +python cli.py mybook.txt -o output/ + +# Process an epub (requires Calibre) +python cli.py mybook.epub + +# Use the more accurate (but slower) BookNLP model +python cli.py mybook.txt --model big + +# Use pre-existing BookNLP output +python cli.py --booknlp-dir existing_output/ --book-id mybook -o sml_output/ +``` + +## 📖 How It Works + +### Pipeline + +``` +Input Book → [BookNLP Analysis] → Character Detection → Dialog Attribution + ↓ + Voice Assignment (auto/manual) + ↓ + SML Output + Characters JSON +``` + +### Step 1: BookNLP Analysis + +BookNLP processes the book text and produces: +- **Entity detection** — identifies characters, locations, organizations +- **Coreference resolution** — clusters references (e.g., "Tom", "Tom Sawyer", "Mr. Sawyer" → same person) +- **Quote attribution** — determines who speaks each quoted passage +- **Gender inference** — infers character gender from pronoun usage +- **Age inference** — estimates age category from context clues + +### Step 2: SML Generation + +The tool converts BookNLP's tagged output into SML format: + +**BookNLP format** (`book.txt`): +``` +[Narrator] It was a bright cold day in April, and the clocks were striking thirteen. [/] +[Winston] "Freedom is the freedom to say that two plus two make four." [/] +[OBrien] "How many fingers am I holding up, Winston?" [/] +``` + +**SML output** (for ebook2audiobook): +``` +[voice:Narrator] +It was a bright cold day in April, and the clocks were striking thirteen. +[/voice] +[voice:Winston] +"Freedom is the freedom to say that two plus two make four." +[/voice] +[voice:OBrien] +"How many fingers am I holding up, Winston?" +[/voice] +``` + +### Step 3: Voice Assignment + +When given the path to an ebook2audiobook installation, voices are automatically matched: + +| Character Property | Voice Directory | +|---|---| +| adult + female | `voices/eng/adult/female/` | +| adult + male | `voices/eng/adult/male/` | +| teen + female | `voices/eng/teen/female/` | +| teen + male | `voices/eng/teen/male/` | +| child + female | `voices/eng/child/female/` | +| child + male | `voices/eng/child/male/` | +| elder + female | `voices/eng/elder/female/` | +| elder + male | `voices/eng/elder/male/` | + +## 📁 Output Files + +| File | Description | +|---|---| +| `{book_id}.sml.txt` | SML-tagged text with `[voice:CharacterName]` macro tags | +| `{book_id}.sml.json` | SML macros mapping character names to voice file paths | +| `{book_id}.deprecated.sml.txt` | Legacy SML format with raw file paths in tags | + +### sml.json format + +```json +{ + "macros": { + "voices": { + "Narrator": "/path/to/narrator_voice.wav", + "Winston": "/path/to/male_voice.wav", + "OBrien": "/path/to/obrien_voice.wav" + } + } +} +``` + +## 🖥️ CLI Reference + +``` +usage: cli.py [-h] [-o OUTPUT_DIR] [--model {small,big}] [--e2a-path E2A_PATH] + [--voices-dir VOICES_DIR] [--language LANGUAGE] + [--booknlp-dir BOOKNLP_DIR] [--book-id BOOK_ID] + [--gui] [--host HOST] [--port PORT] [--share] + [input_file] + +Options: + input_file Input book file (.txt, .epub, .mobi, .pdf, etc.) + -o, --output-dir Output directory (default: output/) + --model {small,big} BookNLP model size (default: small) + --e2a-path Path to ebook2audiobook repo (auto-detected by default) + --voices-dir Path to custom voice files directory + --language Language code for voice selection (default: eng) + --booknlp-dir Use existing BookNLP output directory + --book-id Book ID for loading existing BookNLP output + --gui Launch web GUI + --host Web GUI host (default: 127.0.0.1) + --port Web GUI port (default: 7861) + --share Create public Gradio share link +``` + +## 🔧 Requirements + +### Docker (recommended) +- [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) +- [ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) cloned locally (for the voice library) + +### Local installation +- Python 3.10+ +- [BookNLP-plus](https://github.com/DrewThomasson/booknlp) (installed via requirements.txt) +- [Calibre](https://calibre-ebook.com/download) (optional, for non-txt ebook formats) +- [ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) (required, for voice library) + +## 📄 License + +MIT diff --git a/components/E2A-SML/booknlp/__init__.py b/components/E2A-SML/booknlp/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/E2A-SML/booknlp/booknlp.py b/components/E2A-SML/booknlp/booknlp.py new file mode 100644 index 0000000..7f764bd --- /dev/null +++ b/components/E2A-SML/booknlp/booknlp.py @@ -0,0 +1,51 @@ +import sys +import argparse +from transformers import logging +logging.set_verbosity_error() +from pathlib import Path +import os +from booknlp.english.english_booknlp import EnglishBookNLP + +class BookNLP(): + + def __init__(self, language, model_params): + + if language == "en": + self.booknlp=EnglishBookNLP(model_params) + + def process(self, inputFile, outputFolder, idd): + self.booknlp.process(inputFile, outputFolder, idd) + + +def proc(): + + parser = argparse.ArgumentParser() + parser.add_argument('-l','--language', help='Currently on {en}', required=True) + parser.add_argument('-i','--inputFile', help='Filename to run BookNLP on', required=True) + parser.add_argument('-o','--outputFolder', help='Folder to write results to', required=True) + parser.add_argument('--id', help='ID of text (for creating filenames within output folder)', required=True) + + args = vars(parser.parse_args()) + + language=args["language"] + inputFile=args["inputFile"] + outputFolder=args["outputFolder"] + idd=args["id"] + + print("tagging %s" % inputFile) + + valid_languages=set(["en"]) + if language not in valid_languages: + print("%s not recognized; supported languages: %s" % (language, valid_languages)) + sys.exit(1) + + + model_params={ + "pipeline":"entity,quote,supersense,event,coref", "model":"small", + } + + booknlp=BookNLP(language, model_params) + booknlp.process(inputFile, outputFolder, idd) + +if __name__ is "__main__": + proc() \ No newline at end of file diff --git a/components/E2A-SML/booknlp/common/__init__.py b/components/E2A-SML/booknlp/common/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/E2A-SML/booknlp/common/b3.py b/components/E2A-SML/booknlp/common/b3.py new file mode 100644 index 0000000..09c36d7 --- /dev/null +++ b/components/E2A-SML/booknlp/common/b3.py @@ -0,0 +1,65 @@ +import sys + +def b3(gold, system): + + goldClusters={} + for key in gold: + entity_id=gold[key] + if entity_id not in goldClusters: + goldClusters[entity_id]=[] + goldClusters[entity_id].append(key) + + systemClusters={} + for key in system: + entity_id=system[key] + if entity_id not in systemClusters: + systemClusters[entity_id]=[] + systemClusters[entity_id].append(key) + + precision=0. + recall=0. + + bigP=0. + bigR=0. + n=0. + + for mention in gold: + + goldCluster=set(goldClusters[gold[mention]]) + systemCluster=set(systemClusters[system[mention]]) + intersection=float(len(goldCluster.intersection(systemCluster))) + + precision=intersection/len(systemCluster) + recall=intersection/len(goldCluster) + + bigP+=precision + bigR+=recall + + n+=1 + + precision=bigP/n if n > 0 else 0 + recall=bigR/n if n > 0 else 0 + F=(2*precision*recall)/(precision+recall) if (precision+recall) > 0 else 0 + + + return precision, recall, F + + +def read_data(filename): + gold={} + system={} + + with open(filename) as file: + for idx, line in enumerate(file): + cols=line.rstrip().split("\t") + gold[idx]=cols[1] + system[idx]=cols[2] + + return gold, system + +if __name__ == "__main__": + gold, system=read_data(sys.argv[1]) + precision, recall, F=b3(gold, system) + print("F1: %.3f\tP: %.3f, R: %.3f" % (F, precision, recall)) + + diff --git a/components/E2A-SML/booknlp/common/calc_coref_metrics.py b/components/E2A-SML/booknlp/common/calc_coref_metrics.py new file mode 100644 index 0000000..c54a493 --- /dev/null +++ b/components/E2A-SML/booknlp/common/calc_coref_metrics.py @@ -0,0 +1,38 @@ +import subprocess, re, sys + +def get_coref_score(metric, path_to_scorer, gold=None, preds=None): + + output=subprocess.check_output(["perl", path_to_scorer, metric, preds, gold]).decode("utf-8") + output=output.split("\n")[-3] + matcher=re.search("Coreference: Recall: \(.*?\) (.*?)% Precision: \(.*?\) (.*?)% F1: (.*?)%", output) + if matcher is not None: + recall=float(matcher.group(1)) + precision=float(matcher.group(2)) + f1=float(matcher.group(3)) + return recall, precision, f1 + +def get_conll(path_to_scorer, gold=None, preds=None): + bcub_r, bcub_p, bcub_f=get_coref_score("bcub", path_to_scorer, gold, preds) + muc_r, muc_p, muc_f=get_coref_score("muc", path_to_scorer, gold, preds) + ceaf_r, ceaf_p, ceaf_f=get_coref_score("ceafe", path_to_scorer, gold, preds) + + print("bcub:\t%.1f" % bcub_f) + print("muc:\t%.1f" % muc_f) + print("ceaf:\t%.1f" % ceaf_f) + avg=(bcub_f + muc_f + ceaf_f)/3. + print("Average F1: %.1f" % (avg)) + + # Generate Latex table + # print("%.1f&%.1f&%.1f&%.1f" % (bcub_f, muc_f, ceaf_f, avg)) + + return bcub_f, avg + +if __name__ == "__main__": + + goldFile=sys.argv[1] + predFile=sys.argv[2] + scorer=sys.argv[3] + bcub_f, avg=get_conll(scorer, gold=goldFile, preds=predFile) + + + \ No newline at end of file diff --git a/components/E2A-SML/booknlp/common/crf.py b/components/E2A-SML/booknlp/common/crf.py new file mode 100644 index 0000000..208d06e --- /dev/null +++ b/components/E2A-SML/booknlp/common/crf.py @@ -0,0 +1,192 @@ +""" +https://raw.githubusercontent.com/kaniblu/pytorch-bilstmcrf/master/model.py +MIT License + +""" + +import torch +import torch.nn as nn +import torch.nn.init as I +import torch.nn.utils.rnn as R +from torch.autograd import Variable + +def log_sum_exp(vec, dim=0): + max, idx = torch.max(vec, dim) + max_exp = max.unsqueeze(-1).expand_as(vec) + return max + torch.log(torch.sum(torch.exp(vec - max_exp), dim)) + + +class CRF(nn.Module): + def __init__(self, vocab_size, device): + super(CRF, self).__init__() + + self.device=device + self.vocab_size = vocab_size + self.n_labels = n_labels = vocab_size + 2 + self.start_idx = n_labels - 2 + self.stop_idx = n_labels - 1 + self.transitions = nn.Parameter(torch.randn(n_labels, n_labels)) + + def reset_parameters(self): + I.normal(self.transitions.data, 0, 1) + + def forward(self, logits, lens): + """ + Arguments: + logits: [batch_size, seq_len, n_labels] FloatTensor + lens: [batch_size] LongTensor + """ + batch_size, seq_len, n_labels = logits.size() + alpha = logits.data.new(batch_size, self.n_labels).fill_(-10000) + alpha[:, self.start_idx] = 0 + alpha = Variable(alpha) + c_lens = lens.clone() + + logits_t = logits.transpose(1, 0) + + for logit in logits_t: + + logit_exp = logit.unsqueeze(-1).expand(batch_size, + *self.transitions.size()) + alpha_exp = alpha.unsqueeze(1).expand(batch_size, + *self.transitions.size()) + trans_exp = self.transitions.unsqueeze(0).expand_as(alpha_exp) + mat = trans_exp + alpha_exp + logit_exp + alpha_nxt = log_sum_exp(mat, 2).squeeze(-1) + + mask = (c_lens > 0).float().unsqueeze(-1).expand_as(alpha) + alpha = mask * alpha_nxt + (1 - mask) * alpha + c_lens = c_lens - 1 + + alpha = alpha + self.transitions[self.stop_idx].unsqueeze(0).expand_as(alpha) + norm = log_sum_exp(alpha, 1).squeeze(-1) + + return norm + + def viterbi_decode(self, logits, lens): + """Borrowed from pytorch tutorial + + Arguments: + logits: [batch_size, seq_len, n_labels] FloatTensor + lens: [batch_size] LongTensor + """ + batch_size, seq_len, n_labels = logits.size() + vit = logits.data.new(batch_size, self.n_labels).fill_(-10000) + vit[:, self.start_idx] = 0 + vit = Variable(vit) + c_lens = lens.clone() + + logits_t = logits.transpose(1, 0) + pointers = [] + for t_idx, logit in enumerate(logits_t): + vit_exp = vit.unsqueeze(1).expand(batch_size, n_labels, n_labels) + trn_exp = self.transitions.unsqueeze(0).expand_as(vit_exp) + vit_trn_sum = vit_exp + trn_exp + vt_max, vt_argmax = vit_trn_sum.max(2) + + vt_max = vt_max.squeeze(-1) + vit_nxt = vt_max + logit + pointers.append(vt_argmax.squeeze(-1).unsqueeze(0)) + + mask = (c_lens > 0).float().unsqueeze(-1).expand_as(vit_nxt).to(self.device) + vit = mask * vit_nxt + (1 - mask) * vit + + mask = (c_lens == 1).float().unsqueeze(-1).expand_as(vit_nxt).to(self.device) + vit += mask * self.transitions[ self.stop_idx ].unsqueeze(0).expand_as(vit_nxt) + + c_lens = c_lens - 1 + + pointers = torch.cat(pointers) + scores, idx = vit.max(1) + if batch_size > 1: + idx = idx.squeeze(-1) + paths = [idx.unsqueeze(1)] + + for argmax in reversed(pointers): + idx_exp = idx.unsqueeze(-1) + idx = torch.gather(argmax, 1, idx_exp) + idx = idx.squeeze(-1) + + paths.insert(0, idx.unsqueeze(1)) + + paths = torch.cat(paths[1:], 1) + scores = scores.squeeze(-1) + + return scores, paths + + def transition_score(self, labels, lens): + """ + Arguments: + labels: [batch_size, seq_len] LongTensor + lens: [batch_size] LongTensor + """ + batch_size, seq_len = labels.size() + + # pad labels with and indices + labels_ext = Variable(labels.data.new(batch_size, seq_len + 2)) + labels_ext[:, 0] = self.start_idx + labels_ext[:, 1:-1] = labels + mask = self.sequence_mask(lens + 1, max_len=seq_len + 2).long() + pad_stop = Variable(labels.data.new(1).fill_(self.stop_idx)) + pad_stop = pad_stop.unsqueeze(-1).expand(batch_size, seq_len + 2) + labels_ext = (1 - mask) * pad_stop + mask * labels_ext + labels = labels_ext + + trn = self.transitions + trn_exp = trn.unsqueeze(0).expand(batch_size, *trn.size()) + lbl_r = labels[:, 1:] + lbl_rexp = lbl_r.unsqueeze(-1).expand(*lbl_r.size(), trn.size(0)) + trn_row = torch.gather(trn_exp, 1, lbl_rexp) + # obtain transition score from the transition vector for each label + # in batch and timestep (except the first ones) + lbl_lexp = labels[:, :-1].unsqueeze(-1) + trn_scr = torch.gather(trn_row, 2, lbl_lexp) + trn_scr = trn_scr.squeeze(-1) + + mask = self.sequence_mask(lens, max_len=trn_scr.shape[1]).float() + # mask = self.sequence_mask(lens + 1).float() + + trn_scr = trn_scr * mask + score = trn_scr.sum(1).squeeze(-1) + + return score + + def _bilstm_score(self, logits, y, lens): + y_exp = y.unsqueeze(-1) + scores = torch.gather(logits, 2, y_exp).squeeze(-1) + mask = self.sequence_mask(lens, max_len=scores.shape[1]).float() + # mask = self.sequence_mask(lens).float() + + scores = scores * mask + score = scores.sum(1).squeeze(-1) + return score + + def score(self, y, lens, logits=None): + + transition_score = self.transition_score(y, lens) + bilstm_score = self._bilstm_score(logits, y, lens) + + score = transition_score + bilstm_score + + return score + + def sequence_mask(self, lens, max_len=None): + batch_size = lens.size(0) + + if max_len is None: + # max_len = lens.max().data[0] + max_len = lens.max().data + + + ranges = torch.arange(0, max_len).long() + ranges = ranges.unsqueeze(0).expand(batch_size, max_len) + ranges = Variable(ranges) + + if lens.data.is_cuda: + ranges = ranges.cuda() + + lens_exp = lens.unsqueeze(1).expand_as(ranges) + mask = ranges < lens_exp + + return mask + diff --git a/components/E2A-SML/booknlp/common/layered_reader.py b/components/E2A-SML/booknlp/common/layered_reader.py new file mode 100644 index 0000000..a420fab --- /dev/null +++ b/components/E2A-SML/booknlp/common/layered_reader.py @@ -0,0 +1,354 @@ +import numpy as np +import torch + +def get_batches(model, sentences, max_batch, tagset, training=True): + + """ + Partitions a list of sentences (each a list containing [word, label]) into a set of batches + Returns: + + -- batched_sents: original tokens in sentences + + -- batched_orig_token_lens: length of original tokens in sentences + + -- batched_data: token ids of sentences. [[101 37 42 102], [101 7 102 0]] + + -- batched_mask: Binary flag for real tokens (1) and padded tokens (0) [[1 1 1 1], [1 1 1 0]] (for BERT) + + -- batched_transforms: BERT word piece tokenization splits words into pieces; this matrix specifies how + to combine those pieces back into the original tokens (by averaging their representations) using matrix operations. + If the original sentence is 3 words that have been tokenized into 4 word piece tokens [101 37 42 102] + (where 37 42 are the pieces of one original word), the transformation matrix is 4 x 3 (zero padded to 4 x 4), + resulting in the original sequence length of 3. [[1 0 0 0], [0 0.5 0.5 0], [0 0 0 1]]. + + -- batched_labels: Labels for each sentence, one label per original token (prior to word piece tokenization). Padded tokens + and [CLS] and [SEP] have labels -100. + + -- batched_layered_labels{1,2,3,4,5}: Labels for each sentence, one label per original token (prior to word piece tokenization). Padded tokens and [CLS] and [SEP] have labels -100. + + -- batched_index{1,2,3}: For nested NER, words that are part of the same entity in layer n are merged together in layer n+1. batched_index is a matrix that specifies how to combine those token representations when moving between layers. The matrix is 0-padded to be square in the length of the input layer. + + -- batched_newlabel{1,2,3}. batched_labels (above) specifies the labels for each absolute token position; for nested NER, however, the sequence length gets smaller when moving from lower layers to higher layers (since tokens within the same entity are combined). batched_newlabel specifies the correct labels for the actual sequence length in a given layer. Padded to the max sequence length for a batch with -100. + + -- batched_lens{1,2,3}: The actual sequence length in a given layer. + + -- ordering: inverse argsort to recover original ordering of sentences. + + """ + + rev_tagset={tagset[v]:v for v in tagset} + + maxLen=0 + + all_sents=[] + all_orig_token_lens=[] + + for sentence in sentences: + length=0 + # ts=[x[0] for x in sentence] + ts=[' '.join(x) for x in sentence] + all_sents.append(ts) + + all_orig_token_lens.append(len(sentence)) + + for toks in sentence: + # toks=model.tokenizer.tokenize(word[0]) + length+=len(toks) + + if length > maxLen: + maxLen=length + + all_data=[] + all_masks=[] + all_labels=[] + + + all_layered_labels1=[] + all_layered_labels2=[] + all_layered_labels3=[] + all_layered_labels4=[] + all_layered_labels5=[] + + all_indices=[] + all_newlabels=[] + + all_transforms=[] + + for sentence in sentences: + tok_ids=[] + input_mask=[] + labels=[] + + layered_labels1=[] + layered_labels2=[] + layered_labels3=[] + layered_labels4=[] + layered_labels5=[] + + transform=[] + + all_toks=[] + n=0 + for idx, toks in enumerate(sentence): + # toks=model.tokenizer.tokenize(word[0]) + all_toks.append(toks) + n+=len(toks) + + cur=0 + for idx, word in enumerate(sentence): + toks=all_toks[idx] + ind=list(np.zeros(n)) + for j in range(cur,cur+len(toks)): + ind[j]=1./len(toks) + cur+=len(toks) + transform.append(ind) + + tok_ids.extend(model.tokenizer.convert_tokens_to_ids(toks)) + + input_mask.extend(np.ones(len(toks))) + + if training: + + labels.append(int(word[1])) + layered_labels1.append(int(word[1])) + layered_labels2.append(int(word[2])) + layered_labels3.append(int(word[3])) + layered_labels4.append(int(word[4])) + layered_labels5.append(int(word[5])) + + all_data.append(tok_ids) + all_masks.append(input_mask) + all_transforms.append(transform) + + if training: + + all_labels.append(labels) + all_layered_labels1.append(layered_labels1) + all_layered_labels2.append(layered_labels2) + all_layered_labels3.append(layered_labels3) + all_layered_labels4.append(layered_labels4) + all_layered_labels5.append(layered_labels5) + + newlabels=model.compress([layered_labels1, layered_labels2, layered_labels3]) + indices=model.get_index(newlabels) + + all_indices.append(indices) + all_newlabels.append(newlabels) + + + lengths = np.array([len(l) for l in all_data]) + ordering = np.argsort(lengths) + ordered_data = [None for i in range(len(all_data))] + ordered_masks = [None for i in range(len(all_data))] + ordered_transforms = [None for i in range(len(all_data))] + orig_sents = [None for i in range(len(all_data))] + orig_token_lens = [None for i in range(len(all_data))] + + if training: + + ordered_labels = [None for i in range(len(all_data))] + ordered_layered_labels1 = [None for i in range(len(all_data))] + ordered_layered_labels2 = [None for i in range(len(all_data))] + ordered_layered_labels3 = [None for i in range(len(all_data))] + ordered_layered_labels4 = [None for i in range(len(all_data))] + ordered_layered_labels5 = [None for i in range(len(all_data))] + + ordered_indices = [None for i in range(len(all_data))] + ordered_newlabels = [None for i in range(len(all_data))] + + for i, ind in enumerate(ordering): + ordered_data[i] = all_data[ind] + ordered_masks[i] = all_masks[ind] + orig_sents[i]=all_sents[ind] + orig_token_lens[i]=all_orig_token_lens[ind] + ordered_transforms[i] = all_transforms[ind] + + if training: + + ordered_labels[i] = all_labels[ind] + ordered_layered_labels1[i] = all_layered_labels1[ind] + ordered_layered_labels2[i] = all_layered_labels2[ind] + ordered_layered_labels3[i] = all_layered_labels3[ind] + ordered_layered_labels4[i] = all_layered_labels4[ind] + ordered_layered_labels5[i] = all_layered_labels5[ind] + + ordered_indices[i] = all_indices[ind] + ordered_newlabels[i] = all_newlabels[ind] + + batched_data=[] + batched_mask=[] + batched_labels=[] + batched_transforms=[] + batched_indices=[] + batched_layered_labels1=[] + batched_layered_labels2=[] + batched_layered_labels3=[] + batched_layered_labels4=[] + batched_layered_labels5=[] + + batched_index1=[] + batched_index2=[] + batched_index3=[] + + batched_newlabel1=[] + batched_newlabel2=[] + batched_newlabel3=[] + + batched_sents=[] + batched_orig_token_lens=[] + + batched_lens1=[] + batched_lens2=[] + batched_lens3=[] + + i=0 + + current_batch=max_batch + order_to_batch_map=[] + batch_num=0 + + while i < len(ordered_data): + + for j in range(current_batch): + order_to_batch_map.append((batch_num, current_batch, j)) + + batch_num+=1 + + batch_data=ordered_data[i:i+current_batch] + batch_mask=ordered_masks[i:i+current_batch] + batch_sents=orig_sents[i:i+current_batch] + batch_orig_lens=orig_token_lens[i:i+current_batch] + batch_transforms=ordered_transforms[i:i+current_batch] + + max_len = max([len(sent) for sent in batch_data]) + max_label_length = max([l for l in batch_orig_lens]) + + if training: + + batch_labels=ordered_labels[i:i+current_batch] + + batch_layered_labels1=ordered_layered_labels1[i:i+current_batch] + batch_layered_labels2=ordered_layered_labels2[i:i+current_batch] + batch_layered_labels3=ordered_layered_labels3[i:i+current_batch] + batch_layered_labels4=ordered_layered_labels4[i:i+current_batch] + batch_layered_labels5=ordered_layered_labels5[i:i+current_batch] + + batch_indices=ordered_indices[i:i+current_batch] + batch_newlabels=ordered_newlabels[i:i+current_batch] + + + batch_index1=[] + batch_index2=[] + batch_index3=[] + + batch_new_label1=[] + batch_new_label2=[] + batch_new_label3=[] + + lens1=[] + lens2=[] + lens3=[] + + for j in range(len(batch_data)): + + blen=len(batch_data[j]) + + for k in range(blen, max_len): + batch_data[j].append(0) + batch_mask[j].append(0) + for z in range(len(batch_transforms[j])): + batch_transforms[j][z].append(0) + + for k in range(len(batch_transforms[j]), max_label_length): + batch_transforms[j].append(np.zeros(max_len)) + + if training: + + blab=len(batch_labels[j]) + indexes=batch_indices[j] + newlabelz=batch_newlabels[j] + + lens1.append(len(indexes[0][0])) + lens2.append(len(indexes[1][0])) + lens3.append(len(indexes[2][0])) + + for k in range(3): + indexk=indexes[k] + + # pad each row with zeros to the same length + for y in range(len(indexk)): + for z in range(len(indexk[y]), max_label_length): + indexk[y].append(0) + + # pad the matrix with zeros to be square + for y in range(len(indexk), max_label_length): + indexk.append(np.zeros(max_label_length)) + + # pad the reduced labels with -100 + for z in range(len(newlabelz[k]), max_label_length): + newlabelz[k].append(-100) + + batch_index1.append(indexes[0]) + batch_index2.append(indexes[1]) + batch_index3.append(indexes[2]) + + batch_new_label1.append(newlabelz[0]) + batch_new_label2.append(newlabelz[1]) + batch_new_label3.append(newlabelz[2]) + + + for k in range(blab, max_label_length): + batch_labels[j].append(-100) + + batch_layered_labels1[j].append(-100) + batch_layered_labels2[j].append(-100) + batch_layered_labels3[j].append(-100) + batch_layered_labels4[j].append(-100) + batch_layered_labels5[j].append(-100) + + + + batched_data.append(torch.LongTensor(batch_data)) + batched_mask.append(torch.FloatTensor(batch_mask)) + batched_sents.append(batch_sents) + batched_orig_token_lens.append(torch.LongTensor(batch_orig_lens)) + + batched_transforms.append(torch.FloatTensor(np.array(batch_transforms))) + + if training: + + batched_labels.append(torch.LongTensor(batch_labels)) + + batched_layered_labels1.append(torch.LongTensor(batch_layered_labels1)) + batched_layered_labels2.append(torch.LongTensor(batch_layered_labels2)) + batched_layered_labels3.append(torch.LongTensor(batch_layered_labels3)) + batched_layered_labels4.append(torch.LongTensor(batch_layered_labels4)) + batched_layered_labels5.append(torch.LongTensor(batch_layered_labels5)) + + batched_index1.append(torch.FloatTensor(batch_index1)) + batched_index2.append(torch.FloatTensor(batch_index2)) + batched_index3.append(torch.FloatTensor(batch_index3)) + + + batched_newlabel1.append(torch.LongTensor(batch_new_label1)) + batched_newlabel2.append(torch.LongTensor(batch_new_label2)) + batched_newlabel3.append(torch.LongTensor(batch_new_label3)) + + batched_lens1.append(torch.LongTensor(lens1)) + batched_lens2.append(torch.LongTensor(lens2)) + batched_lens3.append(torch.LongTensor(lens3)) + + i+=current_batch + + if max_len > 100: + current_batch=12 + if max_len > 200: + current_batch=6 + + + if training: + return batched_sents, batched_data, batched_mask, batched_labels, batched_transforms, ordering, batched_layered_labels1, batched_layered_labels2, batched_layered_labels3, batched_layered_labels4, batched_layered_labels5, batched_index1, batched_index2, batched_index3, batched_newlabel1, batched_newlabel2, batched_newlabel3, [batched_lens1, batched_lens2, batched_lens3] + + + return batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering, order_to_batch_map + diff --git a/components/E2A-SML/booknlp/common/pipelines.py b/components/E2A-SML/booknlp/common/pipelines.py new file mode 100644 index 0000000..80cb889 --- /dev/null +++ b/components/E2A-SML/booknlp/common/pipelines.py @@ -0,0 +1,188 @@ +import re + +class Entity: + def __init__(self, start, end, entity_id=None, quote_id=None, quote_eid=None, proper=None, ner_cat=None, in_quote=None, text=None): + # print("creating") + self.start=start + self.end=end + self.entity_id=entity_id + self.quote_id=quote_id + self.proper=proper + self.ner_cat=ner_cat + self.in_quote=in_quote + self.quote_eid=quote_eid + self.text=text + self.quote_mention=None + self.global_start=None + self.global_end=None + + def __str__(self): + return ("%s %s %s %s %s %s %s %s" % (self.global_start, self.global_end, self.entity_id, self.proper, self.ner_cat, self.in_quote, self.quote_eid, self.text)) + + +class Token: + + def __init__(self, paragraph_id, sentence_id, index_within_sentence_idx, token_id, text, pos, fine_pos, lemma, deprel, dephead, ner, startByte): + self.text=text + self.paragraph_id=paragraph_id + self.sentence_id=sentence_id + self.index_within_sentence_idx=index_within_sentence_idx + self.token_id=token_id + self.lemma=lemma + self.pos=pos + self.fine_pos=fine_pos + self.deprel=deprel + self.dephead=dephead + self.ner=ner + self.startByte=startByte + self.endByte=startByte+len(text) + self.inQuote=False + self.event="O" + + def __str__(self): + return '\t'.join([str(x) for x in [self.paragraph_id, self.sentence_id, self.index_within_sentence_idx, self.token_id, self.text, self.lemma, self.startByte, self.endByte, self.pos, self.fine_pos, self.deprel, self.dephead, self.event]]) + + @classmethod + def convert(self, sents): + toks=[] + i=0 + cur=0 + for sidx, sent in enumerate(sents): + for widx, word in enumerate(sent): + token=Token(0, sidx,widx,i,word, None, None, None, None, None, None, cur) + toks.append(token) + i+=1 + cur+=len(word) + 1 + return toks + + @classmethod + def deconvert(self, toks): + sents=[] + sent=[] + lastSid=None + for tok in toks: + if lastSid is not None and tok.sentence_id != lastSid: + sents.append(sent) + sent=[] + sent.append(tok) + lastSid=tok.sentence_id + + if len(sent) > 0: + sents.append(sent) + + # print(sents) + return sents + + +from spacy.tokens import Doc + +class SpacyPipeline: + def __init__(self, spacy_nlp): + self.spacy_nlp=spacy_nlp + self.spacy_nlp.max_length = 10000000 + + + def filter_ws(self, text): + text=re.sub(" ", "S", text) + text=re.sub("[\n\r]", "N", text) + text=re.sub("\t", "T", text) + return text + + + def tag_pretokenized(self, toks, sents, spaces): + + doc = Doc(self.spacy_nlp.vocab, words=toks, spaces=spaces) + for idx, token in enumerate(doc): + token.sent_start=sents[idx] + + for name, proc in self.spacy_nlp.pipeline: + doc = proc(doc) + + return self.process_doc(doc) + + def tag(self, text): + + doc = self.spacy_nlp(text) + return self.process_doc(doc) + + def process_doc(self, doc): + + tokens=[] + skipped_global=0 + paragraph_id=0 + current_whitespace="" + sentence_id=0 + for sid, sent in enumerate(doc.sents): + skipped_in_sentence=0 + skips_in_sentence=[] + curSkips=0 + for w_idx, tok in enumerate(sent): + if tok.is_space: + curSkips+=1 + skips_in_sentence.append(curSkips) + + hasWord=False + + for w_idx, tok in enumerate(sent): + + if tok.is_space: + skipped_global+=1 + skipped_in_sentence+=1 + current_whitespace+=tok.text + else: + if re.search("\n\n", current_whitespace) is not None: + paragraph_id+=1 + + hasWord=True + + head_in_sentence=tok.head.i-sent.start + skips_between_token_and_head=skips_in_sentence[head_in_sentence]-skips_in_sentence[w_idx] + token=Token(paragraph_id, sentence_id, w_idx-skipped_in_sentence, tok.i-skipped_global, self.filter_ws(tok.text), tok.pos_, tok.tag_, tok.lemma_, tok.dep_, tok.head.i-skipped_global-skips_between_token_and_head, None, tok.idx) + tokens.append(token) + current_whitespace="" + + if hasWord: + sentence_id+=1 + + return tokens + +class StanzaPipeline: + def __init__(self, nlp): + self.nlp=nlp + + + def filter_ws(self, text): + text=re.sub(" ", "S", text) + text=re.sub("[\n\r]", "N", text) + text=re.sub("\t", "T", text) + return text + + + def tag(self, text): +# def __init__(self, sentence_id, index_within_sentence_idx, token_id, text, pos, lemma, deprel, dephead, ner, startByte, spacyToken): + + text=re.sub("\s+", " ", text) + doc = self.nlp(text) + tokens=[] + tid=0 + cur=0 + for sid, sent in enumerate(doc.sentences): + for w_idx, tok in enumerate(sent.words): + feats=tok.misc.split("|") + start_char=-1 + for f in feats: + parts=f.split("=") + if parts[0] == "start_char": + start_char=int(parts[1]) + +# paragraph_id, sentence_id, index_within_sentence_idx, token_id, text, pos, lemma, deprel, dephead, ner, startByte + # need to add paragraph ID in stanza here!! + paragraph_id=-1 + token=Token(paragraph_id, sid, w_idx, tid, self.filter_ws(tok.text), tok.upos, tok.pos, tok.lemma, tok.deprel, cur+tok.head-1, None, start_char) + tokens.append(token) + tid+=1 + cur+=len(sent.words) + + return tokens + + diff --git a/components/E2A-SML/booknlp/common/sequence_eval.py b/components/E2A-SML/booknlp/common/sequence_eval.py new file mode 100644 index 0000000..b9359fe --- /dev/null +++ b/components/E2A-SML/booknlp/common/sequence_eval.py @@ -0,0 +1,240 @@ +import sys +import numpy as np + +def get_accuracy(golds, preds, tagset): + cor=0. + tot=0. + for i in range(len(golds)): + if golds[i] == preds[i]: + cor+=1 + tot+=1 + + acc=cor/tot + print ("Accuracy: %.3f" % acc) + + return acc + + +def check_span_f1_two_dicts_subcat(gold, pred): + + + golds={} + preds={} + + for target_lab in ["PRON", "NOM", "PROP"]: + golds[target_lab]={} + preds[target_lab]={} + + for doc, lab, start, end in gold: + # print(lab) + subcat=lab.split("_")[0] + if subcat == target_lab: + golds[target_lab][(doc, lab, start, end)]=1 + + for doc, lab, start, end in pred: + subcat=lab.split("_")[0] + if subcat == target_lab: + preds[target_lab][(doc, lab, start, end)]=1 + + cor=0. + for g in gold: + if g in pred: + cor+=1 + + precision=0 + if len(pred) > 0: + precision=cor/len(pred) + recall=0 + if len(gold) > 0: + recall=cor/len(gold) + mainF=0 + if (precision + recall) > 0: + mainF=(2*precision*recall)/(precision+recall) + + print ("precision: %.3f %s/%s" % (precision, cor, len(pred))) + print ("recall: %.3f %s/%s" % (recall, cor, len(gold))) + print ("F: %.3f" % mainF) + + + for target_lab in ["PRON", "NOM", "PROP"]: + cor=0. + for g in golds[target_lab]: + if g in preds[target_lab]: + cor+=1 + + precision=0 + if len(preds[target_lab]) > 0: + precision=cor/len(preds[target_lab]) + recall=0 + if len(golds[target_lab]) > 0: + recall=cor/len(golds[target_lab]) + F=0 + if (precision + recall) > 0: + F=(2*precision*recall)/(precision+recall) + + print ("\n\t%s precision: %.3f %s/%s" % (target_lab, precision, cor, len(preds[target_lab]))) + print ("\t%s recall: %.3f %s/%s" % (target_lab, recall, cor, len(golds[target_lab]))) + print ("\t%s F: %.3f" % (target_lab, F)) + + + return mainF + + +def check_span_f1_two_dicts(gold, pred): + + cor=0. + for g in gold: + if g in pred: + cor+=1 + + precision=0 + if len(pred) > 0: + precision=cor/len(pred) + recall=0 + if len(gold) > 0: + recall=cor/len(gold) + F=0 + if (precision + recall) > 0: + F=(2*precision*recall)/(precision+recall) + + print ("precision: %.3f %s/%s" % (precision, cor, len(pred))) + print ("recall: %.3f %s/%s" % (recall, cor, len(gold))) + print ("F: %.3f" % F) + + return F + +def check_span_f1_two_lists(gold, preds, orig_tagset): + + tagset={orig_tagset[v]:v for v in orig_tagset} + print(tagset) + start_idx=-1 + start_tag=None + + gold_spans={} + + for i, tag_idx in enumerate(gold): + tag=tagset[int(tag_idx)] + if tag == "O" or tag.startswith("B-"): + if start_idx != -1: + end_idx=i-1 + gold_spans[(start_idx, end_idx, start_tag)]=1 + start_idx=-1 + + if tag.startswith("B-"): + start_idx=i + start_tag=tag.split("-")[-1] + + if start_idx != -1: + end_idx=len(gold) + gold_spans[(start_idx, end_idx, start_tag)]=1 + + + start_idx=-1 + start_tag=None + + pred_spans={} + + for i, tag_idx in enumerate(preds): + tag=tagset[int(tag_idx)] + if tag == "O" or tag.startswith("B-"): + if start_idx != -1: + end_idx=i-1 + pred_spans[(start_idx, end_idx, start_tag)]=1 + start_idx=-1 + + if tag.startswith("B-"): + start_idx=i + start_tag=tag.split("-")[-1] + + if start_idx != -1: + end_idx=len(gold) + pred_spans[(start_idx, end_idx, start_tag)]=1 + + correct=0. + for tag in gold_spans: + if tag in pred_spans: + correct+=1 + + + trials=len(pred_spans) + trues=len(gold_spans) + + p=0 + if trials > 0: + p=correct/trials + r=0 + if trues > 0: + r=correct/trues + + f=0 + if (p+r) > 0: + f=(2*p*r)/(p+r) + + print ("precision: %.3f %s/%s" % (p, correct, trials)) + print ("recall: %.3f %s/%s" % (r, correct, trues)) + print ("F: %.3f" % f) + + return f + +def check_f1_two_lists(gold, preds, tagset): + + correct=0. + trials=0. + trues=0. + for j in range(len(preds)): + if preds[j] == 1: + trials+=1 + if gold[j] == 1: + trues+=1 + if preds[j] == gold[j] and preds[j] == 1: + correct+=1 + + p=0 + if trials > 0: + p=correct/trials + r=0 + if trues > 0: + r=correct/trues + + f=0 + if (p+r) > 0: + f=(2*p*r)/(p+r) + + print ("precision: %.3f %s/%s" % (p, correct, trials)) + print ("recall: %.3f %s/%s" % (r, correct, trues)) + print ("F: %.3f" % f) + + return f + + +def check_f1(data): + correct=0. + trials=0. + trues=0. + + for sentence in data: + for word in sentence: + truth=word[0] + pred=word[1] + + if pred == 1: + trials+=1 + if truth == 1: + trues+=1 + if pred == truth and pred == 1: + correct+=1 + + p=0. + if trials > 0: + p=correct/trials + r=0. + if trues > 0: + r=correct/trues + + f=0. + if (p+r) > 0: + f=(2*p*r)/(p+r) + + return f, p, r, correct, trials, trues + + diff --git a/components/E2A-SML/booknlp/common/sequence_layered_reader.py b/components/E2A-SML/booknlp/common/sequence_layered_reader.py new file mode 100644 index 0000000..4688a24 --- /dev/null +++ b/components/E2A-SML/booknlp/common/sequence_layered_reader.py @@ -0,0 +1,159 @@ +import os + +def read_tagset(filename): + tags={} + with open(filename) as file: + for line in file: + cols=line.rstrip().split("\t") + tags[cols[0]]=int(cols[1]) + return tags + + +def read_filenames(filename): + inpaths=[] + outpaths=[] + with open(filename) as file: + for line in file: + cols=line.rstrip().split("\t") + + if len(cols) == 2: + inpaths.append(cols[0]) + outpaths.append(cols[1]) + + return inpaths, outpaths + + +def read_booknlp(path, model): + + sentences=[] + original_sentences=[] + + sentence=[] + sentence.append(["[CLS]"]) + + orig_sentence=[] + orig_sentence.append(("[CLS]", -1)) + length=0 + + max_sentence_length=500 + + + with open(path, encoding="utf-8") as file: + header=file.readline().split("\t") + + s_idx=header.index("sentenceID") + t_idx=header.index("tokenId") + w_idx=header.index("originalWord") + + lastSentence=None + + for line in file: + cols=line.rstrip().split("\t") + s_id=cols[s_idx] + t_id=cols[t_idx] + w=cols[w_idx] + + toks=model.tokenizer.tokenize(w) + + if s_id != lastSentence or length + len(toks) > max_sentence_length: + if len(sentence) > 0: + sentence.append(["[SEP]"]) + sentences.append(sentence) + + orig_sentence.append((-1, "[SEP]")) + original_sentences.append(orig_sentence) + + sentence=[] + sentence.append(["[CLS]"]) + + orig_sentence=[] + orig_sentence.append((-1, "[CLS]")) + + length=0 + + length+=len(toks) + + sentence.append([w]) + orig_sentence.append((t_id, w)) + + lastSentence=s_id + + if len(sentence) > 1: + sentence.append(["[SEP]"]) + sentences.append(sentence) + + orig_sentence.append((-1, "[SEP]")) + original_sentences.append(orig_sentence) + + return sentences, original_sentences + + +def read_annotations(filename, tagset, labeled): + + """ Read tsv data and return sentences and [word, tag, sentenceID, filename] list """ + + with open(filename, encoding="utf-8") as f: + sentence = [] + sentence.append(["[CLS]", -100, -100, -100, -100, -100, -100 -1, -1, None]) + sentences = [] + sentenceID=0 + for line in f: + if len(line) > 0: + if line == '\n': + sentenceID+=1 + + sentence.append(["[SEP]", -100, -100, -100, -100, -100, -100 -1, -1, None]) + + if len(sentence) > 2: + sentences.append(sentence) + + sentence = [] + sentence.append(["[CLS]", -100, -100, -100, -100, -100, -100 -1, -1, None]) + + + else: + data=[] + split_line = line.rstrip().split('\t') + + data.append(split_line[0]) + data.append(tagset[split_line[1]] if labeled else 0) + data.append(tagset[split_line[2]] if labeled else 0) + data.append(tagset[split_line[3]] if labeled else 0) + data.append(tagset[split_line[4]] if labeled else 0) + data.append(tagset[split_line[5]] if labeled else 0) + + data.append(sentenceID) + data.append(filename) + + sentence.append(data) + + sentence.append(["[SEP]", -100, -100, -100, -100, -100, -100 -1, -1, None]) + if len(sentence) > 2: + sentences.append(sentence) + + return sentences + +def prepare_annotations_from_file(filename, tagset, labeled=True): + + """ Read a single file of annotations, returning: + -- a list of sentences, each a list of [word, label, sentenceID, filename] + """ + + sentences = [] + annotations = read_annotations(filename, tagset, labeled) + sentences += annotations + return sentences + +def prepare_annotations_from_folder(folder, tagset, labeled=True): + + """ Read folder of annotations, returning: + -- a list of sentences, each a list of [word, label, sentenceID, filename] + """ + + sentences = [] + for filename in os.listdir(folder): + print(filename) + annotations = read_annotations(os.path.join(folder,filename), tagset, labeled) + sentences += annotations + print("num sentences: %s" % len(sentences)) + return sentences diff --git a/components/E2A-SML/booknlp/data/english/pride.medium.txt b/components/E2A-SML/booknlp/data/english/pride.medium.txt new file mode 100644 index 0000000..aae9b0b --- /dev/null +++ b/components/E2A-SML/booknlp/data/english/pride.medium.txt @@ -0,0 +1,1000 @@ + +The Project Gutenberg EBook of Pride and Prejudice, by Jane Austen + +This eBook is for the use of anyone anywhere at no cost and with +almost no restrictions whatsoever. You may copy it, give it away or +re-use it under the terms of the Project Gutenberg License included +with this eBook or online at www.gutenberg.org + + +Title: Pride and Prejudice + +Author: Jane Austen + +Release Date: August 26, 2008 [EBook #1342] +Last Updated: November 12, 2019 + + +Language: English + +Character set encoding: UTF-8 + +*** START OF THIS PROJECT GUTENBERG EBOOK PRIDE AND PREJUDICE *** + + + + +Produced by Anonymous Volunteers, and David Widger + +THERE IS AN ILLUSTRATED EDITION OF THIS TITLE WHICH MAY VIEWED AT EBOOK +[# 42671 ] + +cover + + + + + Pride and Prejudice + + By Jane Austen + + CONTENTS + + Chapter 1 + + Chapter 2 + + Chapter 3 + + Chapter 4 + + Chapter 5 + + Chapter 6 + + Chapter 7 + + Chapter 8 + + Chapter 9 + + Chapter 10 + + Chapter 11 + + Chapter 12 + + Chapter 13 + + Chapter 14 + + Chapter 15 + + Chapter 16 + + Chapter 17 + + Chapter 18 + + Chapter 19 + + Chapter 20 + + Chapter 21 + + Chapter 22 + + Chapter 23 + + Chapter 24 + + Chapter 25 + + Chapter 26 + + Chapter 27 + + Chapter 28 + + Chapter 29 + + Chapter 30 + + Chapter 31 + + Chapter 32 + + Chapter 33 + + Chapter 34 + + Chapter 35 + + Chapter 36 + + Chapter 37 + + Chapter 38 + + Chapter 39 + + Chapter 40 + + Chapter 41 + + Chapter 42 + + Chapter 43 + + Chapter 44 + + Chapter 45 + + Chapter 46 + + Chapter 47 + + Chapter 48 + + Chapter 49 + + Chapter 50 + + Chapter 51 + + Chapter 52 + + Chapter 53 + + Chapter 54 + + Chapter 55 + + Chapter 56 + + Chapter 57 + + Chapter 58 + + Chapter 59 + + Chapter 60 + + Chapter 61 + + + + + Chapter 1 + + It is a truth universally acknowledged, that a single man in + possession of a good fortune, must be in want of a wife. + + However little known the feelings or views of such a man may be + on his first entering a neighbourhood, this truth is so well + fixed in the minds of the surrounding families, that he is + considered the rightful property of some one or other of their + daughters. + + “My dear Mr. Bennet,” said his lady to him one day, “have you + heard that Netherfield Park is let at last?” + + Mr. Bennet replied that he had not. + + “But it is,” returned she; “for Mrs. Long has just been here, and + she told me all about it.” + + Mr. Bennet made no answer. + + “Do you not want to know who has taken it?” cried his wife + impatiently. + + “_You_ want to tell me, and I have no objection to hearing it.” + + This was invitation enough. + + “Why, my dear, you must know, Mrs. Long says that Netherfield is + taken by a young man of large fortune from the north of England; + that he came down on Monday in a chaise and four to see the + place, and was so much delighted with it, that he agreed with Mr. + Morris immediately; that he is to take possession before + Michaelmas, and some of his servants are to be in the house by + the end of next week.” + + “What is his name?” + + “Bingley.” + + “Is he married or single?” + + “Oh! Single, my dear, to be sure! A single man of large fortune; + four or five thousand a year. What a fine thing for our girls!” + + “How so? How can it affect them?” + + “My dear Mr. Bennet,” replied his wife, “how can you be so + tiresome! You must know that I am thinking of his marrying one of + them.” + + “Is that his design in settling here?” + + “Design! Nonsense, how can you talk so! But it is very likely + that he _may_ fall in love with one of them, and therefore you + must visit him as soon as he comes.” + + “I see no occasion for that. You and the girls may go, or you may + send them by themselves, which perhaps will be still better, for + as you are as handsome as any of them, Mr. Bingley may like you + the best of the party.” + + “My dear, you flatter me. I certainly _have_ had my share of + beauty, but I do not pretend to be anything extraordinary now. + When a woman has five grown-up daughters, she ought to give over + thinking of her own beauty.” + + “In such cases, a woman has not often much beauty to think of.” + + “But, my dear, you must indeed go and see Mr. Bingley when he + comes into the neighbourhood.” + + “It is more than I engage for, I assure you.” + + “But consider your daughters. Only think what an establishment it + would be for one of them. Sir William and Lady Lucas are + determined to go, merely on that account, for in general, you + know, they visit no newcomers. Indeed you must go, for it will be + impossible for _us_ to visit him if you do not.” + + “You are over-scrupulous, surely. I dare say Mr. Bingley will be + very glad to see you; and I will send a few lines by you to + assure him of my hearty consent to his marrying whichever he + chooses of the girls; though I must throw in a good word for my + little Lizzy.” + + “I desire you will do no such thing. Lizzy is not a bit better + than the others; and I am sure she is not half so handsome as + Jane, nor half so good-humoured as Lydia. But you are always + giving _her_ the preference.” + + “They have none of them much to recommend them,” replied he; + “they are all silly and ignorant like other girls; but Lizzy has + something more of quickness than her sisters.” + + “Mr. Bennet, how can you abuse your own children in such a way? + You take delight in vexing me. You have no compassion for my poor + nerves.” + + “You mistake me, my dear. I have a high respect for your nerves. + They are my old friends. I have heard you mention them with + consideration these last twenty years at least.” + + “Ah, you do not know what I suffer.” + + “But I hope you will get over it, and live to see many young men + of four thousand a year come into the neighbourhood.” + + “It will be no use to us, if twenty such should come, since you + will not visit them.” + + “Depend upon it, my dear, that when there are twenty, I will + visit them all.” + + Mr. Bennet was so odd a mixture of quick parts, sarcastic humour, + reserve, and caprice, that the experience of three-and-twenty + years had been insufficient to make his wife understand his + character. _Her_ mind was less difficult to develop. She was a + woman of mean understanding, little information, and uncertain + temper. When she was discontented, she fancied herself nervous. + The business of her life was to get her daughters married; its + solace was visiting and news. + + + + + Chapter 2 + + Mr. Bennet was among the earliest of those who waited on Mr. + Bingley. He had always intended to visit him, though to the last + always assuring his wife that he should not go; and till the + evening after the visit was paid she had no knowledge of it. It + was then disclosed in the following manner. Observing his second + daughter employed in trimming a hat, he suddenly addressed her + with: + + “I hope Mr. Bingley will like it, Lizzy.” + + “We are not in a way to know _what_ Mr. Bingley likes,” said her + mother resentfully, “since we are not to visit.” + + “But you forget, mamma,” said Elizabeth, “that we shall meet him + at the assemblies, and that Mrs. Long promised to introduce him.” + + “I do not believe Mrs. Long will do any such thing. She has two + nieces of her own. She is a selfish, hypocritical woman, and I + have no opinion of her.” + + “No more have I,” said Mr. Bennet; “and I am glad to find that + you do not depend on her serving you.” + + Mrs. Bennet deigned not to make any reply, but, unable to contain + herself, began scolding one of her daughters. + + “Don’t keep coughing so, Kitty, for Heaven’s sake! Have a little + compassion on my nerves. You tear them to pieces.” + + “Kitty has no discretion in her coughs,” said her father; “she + times them ill.” + + “I do not cough for my own amusement,” replied Kitty fretfully. + “When is your next ball to be, Lizzy?” + + “To-morrow fortnight.” + + “Aye, so it is,” cried her mother, “and Mrs. Long does not come + back till the day before; so it will be impossible for her to + introduce him, for she will not know him herself.” + + “Then, my dear, you may have the advantage of your friend, and + introduce Mr. Bingley to _her_.” + + “Impossible, Mr. Bennet, impossible, when I am not acquainted + with him myself; how can you be so teasing?” + + “I honour your circumspection. A fortnight’s acquaintance is + certainly very little. One cannot know what a man really is by + the end of a fortnight. But if _we_ do not venture somebody else + will; and after all, Mrs. Long and her nieces must stand their + chance; and, therefore, as she will think it an act of kindness, + if you decline the office, I will take it on myself.” + + The girls stared at their father. Mrs. Bennet said only, + “Nonsense, nonsense!” + + “What can be the meaning of that emphatic exclamation?” cried he. + “Do you consider the forms of introduction, and the stress that + is laid on them, as nonsense? I cannot quite agree with you + _there_. What say you, Mary? For you are a young lady of deep + reflection, I know, and read great books and make extracts.” + + Mary wished to say something sensible, but knew not how. + + “While Mary is adjusting her ideas,” he continued, “let us return + to Mr. Bingley.” + + “I am sick of Mr. Bingley,” cried his wife. + + “I am sorry to hear _that_; but why did not you tell me that + before? If I had known as much this morning I certainly would not + have called on him. It is very unlucky; but as I have actually + paid the visit, we cannot escape the acquaintance now.” + + The astonishment of the ladies was just what he wished; that of + Mrs. Bennet perhaps surpassing the rest; though, when the first + tumult of joy was over, she began to declare that it was what she + had expected all the while. + + “How good it was in you, my dear Mr. Bennet! But I knew I should + persuade you at last. I was sure you loved your girls too well to + neglect such an acquaintance. Well, how pleased I am! and it is + such a good joke, too, that you should have gone this morning and + never said a word about it till now.” + + “Now, Kitty, you may cough as much as you choose,” said Mr. + Bennet; and, as he spoke, he left the room, fatigued with the + raptures of his wife. + + “What an excellent father you have, girls!” said she, when the + door was shut. “I do not know how you will ever make him amends + for his kindness; or me, either, for that matter. At our time of + life it is not so pleasant, I can tell you, to be making new + acquaintances every day; but for your sakes, we would do + anything. Lydia, my love, though you _are_ the youngest, I dare + say Mr. Bingley will dance with you at the next ball.” + + “Oh!” said Lydia stoutly, “I am not afraid; for though I _am_ the + youngest, I’m the tallest.” + + The rest of the evening was spent in conjecturing how soon he + would return Mr. Bennet’s visit, and determining when they should + ask him to dinner. + + + + + Chapter 3 + + Not all that Mrs. Bennet, however, with the assistance of her + five daughters, could ask on the subject, was sufficient to draw + from her husband any satisfactory description of Mr. Bingley. + They attacked him in various ways—with barefaced questions, + ingenious suppositions, and distant surmises; but he eluded the + skill of them all, and they were at last obliged to accept the + second-hand intelligence of their neighbour, Lady Lucas. Her + report was highly favourable. Sir William had been delighted with + him. He was quite young, wonderfully handsome, extremely + agreeable, and, to crown the whole, he meant to be at the next + assembly with a large party. Nothing could be more delightful! To + be fond of dancing was a certain step towards falling in love; + and very lively hopes of Mr. Bingley’s heart were entertained. + + “If I can but see one of my daughters happily settled at + Netherfield,” said Mrs. Bennet to her husband, “and all the + others equally well married, I shall have nothing to wish for.” + + In a few days Mr. Bingley returned Mr. Bennet’s visit, and sat + about ten minutes with him in his library. He had entertained + hopes of being admitted to a sight of the young ladies, of whose + beauty he had heard much; but he saw only the father. The ladies + were somewhat more fortunate, for they had the advantage of + ascertaining from an upper window that he wore a blue coat, and + rode a black horse. + + An invitation to dinner was soon afterwards dispatched; and + already had Mrs. Bennet planned the courses that were to do + credit to her housekeeping, when an answer arrived which deferred + it all. Mr. Bingley was obliged to be in town the following day, + and, consequently, unable to accept the honour of their + invitation, etc. Mrs. Bennet was quite disconcerted. She could + not imagine what business he could have in town so soon after his + arrival in Hertfordshire; and she began to fear that he might be + always flying about from one place to another, and never settled + at Netherfield as he ought to be. Lady Lucas quieted her fears a + little by starting the idea of his being gone to London only to + get a large party for the ball; and a report soon followed that + Mr. Bingley was to bring twelve ladies and seven gentlemen with + him to the assembly. The girls grieved over such a number of + ladies, but were comforted the day before the ball by hearing, + that instead of twelve he brought only six with him from + London—his five sisters and a cousin. And when the party entered + the assembly room it consisted of only five altogether—Mr. + Bingley, his two sisters, the husband of the eldest, and another + young man. + + Mr. Bingley was good-looking and gentlemanlike; he had a pleasant + countenance, and easy, unaffected manners. His sisters were fine + women, with an air of decided fashion. His brother-in-law, Mr. + Hurst, merely looked the gentleman; but his friend Mr. Darcy soon + drew the attention of the room by his fine, tall person, handsome + features, noble mien, and the report which was in general + circulation within five minutes after his entrance, of his having + ten thousand a year. The gentlemen pronounced him to be a fine + figure of a man, the ladies declared he was much handsomer than + Mr. Bingley, and he was looked at with great admiration for about + half the evening, till his manners gave a disgust which turned + the tide of his popularity; for he was discovered to be proud; to + be above his company, and above being pleased; and not all his + large estate in Derbyshire could then save him from having a most + forbidding, disagreeable countenance, and being unworthy to be + compared with his friend. + + Mr. Bingley had soon made himself acquainted with all the + principal people in the room; he was lively and unreserved, + danced every dance, was angry that the ball closed so early, and + talked of giving one himself at Netherfield. Such amiable + qualities must speak for themselves. What a contrast between him + and his friend! Mr. Darcy danced only once with Mrs. Hurst and + once with Miss Bingley, declined being introduced to any other + lady, and spent the rest of the evening in walking about the + room, speaking occasionally to one of his own party. His + character was decided. He was the proudest, most disagreeable man + in the world, and everybody hoped that he would never come there + again. Amongst the most violent against him was Mrs. Bennet, + whose dislike of his general behaviour was sharpened into + particular resentment by his having slighted one of her + daughters. + + Elizabeth Bennet had been obliged, by the scarcity of gentlemen, + to sit down for two dances; and during part of that time, Mr. + Darcy had been standing near enough for her to hear a + conversation between him and Mr. Bingley, who came from the dance + for a few minutes, to press his friend to join it. + + “Come, Darcy,” said he, “I must have you dance. I hate to see you + standing about by yourself in this stupid manner. You had much + better dance.” + + “I certainly shall not. You know how I detest it, unless I am + particularly acquainted with my partner. At such an assembly as + this it would be insupportable. Your sisters are engaged, and + there is not another woman in the room whom it would not be a + punishment to me to stand up with.” + + “I would not be so fastidious as you are,” cried Mr. Bingley, + “for a kingdom! Upon my honour, I never met with so many pleasant + girls in my life as I have this evening; and there are several of + them you see uncommonly pretty.” + + “_You_ are dancing with the only handsome girl in the room,” said + Mr. Darcy, looking at the eldest Miss Bennet. + + “Oh! She is the most beautiful creature I ever beheld! But there + is one of her sisters sitting down just behind you, who is very + pretty, and I dare say very agreeable. Do let me ask my partner + to introduce you.” + + “Which do you mean?” and turning round he looked for a moment at + Elizabeth, till catching her eye, he withdrew his own and coldly + said: “She is tolerable, but not handsome enough to tempt _me_; I + am in no humour at present to give consequence to young ladies + who are slighted by other men. You had better return to your + partner and enjoy her smiles, for you are wasting your time with + me.” + + Mr. Bingley followed his advice. Mr. Darcy walked off; and + Elizabeth remained with no very cordial feelings toward him. She + told the story, however, with great spirit among her friends; for + she had a lively, playful disposition, which delighted in + anything ridiculous. + + The evening altogether passed off pleasantly to the whole family. + Mrs. Bennet had seen her eldest daughter much admired by the + Netherfield party. Mr. Bingley had danced with her twice, and she + had been distinguished by his sisters. Jane was as much gratified + by this as her mother could be, though in a quieter way. + Elizabeth felt Jane’s pleasure. Mary had heard herself mentioned + to Miss Bingley as the most accomplished girl in the + neighbourhood; and Catherine and Lydia had been fortunate enough + never to be without partners, which was all that they had yet + learnt to care for at a ball. They returned, therefore, in good + spirits to Longbourn, the village where they lived, and of which + they were the principal inhabitants. They found Mr. Bennet still + up. With a book he was regardless of time; and on the present + occasion he had a good deal of curiosity as to the event of an + evening which had raised such splendid expectations. He had + rather hoped that his wife’s views on the stranger would be + disappointed; but he soon found out that he had a different story + to hear. + + “Oh, my dear Mr. Bennet,” as she entered the room, “we have had a + most delightful evening, a most excellent ball. I wish you had + been there. Jane was so admired, nothing could be like it. + Everybody said how well she looked; and Mr. Bingley thought her + quite beautiful, and danced with her twice! Only think of _that_, + my dear; he actually danced with her twice! and she was the only + creature in the room that he asked a second time. First of all, + he asked Miss Lucas. I was so vexed to see him stand up with her! + But, however, he did not admire her at all; indeed, nobody can, + you know; and he seemed quite struck with Jane as she was going + down the dance. So he inquired who she was, and got introduced, + and asked her for the two next. Then the two third he danced with + Miss King, and the two fourth with Maria Lucas, and the two fifth + with Jane again, and the two sixth with Lizzy, and the + _Boulanger_—” + + “If he had had any compassion for _me_,” cried her husband + impatiently, “he would not have danced half so much! For God’s + sake, say no more of his partners. Oh that he had sprained his + ankle in the first dance!” + + “Oh! my dear, I am quite delighted with him. He is so excessively + handsome! And his sisters are charming women. I never in my life + saw anything more elegant than their dresses. I dare say the lace + upon Mrs. Hurst’s gown—” + + Here she was interrupted again. Mr. Bennet protested against any + description of finery. She was therefore obliged to seek another + branch of the subject, and related, with much bitterness of + spirit and some exaggeration, the shocking rudeness of Mr. Darcy. + + “But I can assure you,” she added, “that Lizzy does not lose much + by not suiting _his_ fancy; for he is a most disagreeable, horrid + man, not at all worth pleasing. So high and so conceited that + there was no enduring him! He walked here, and he walked there, + fancying himself so very great! Not handsome enough to dance + with! I wish you had been there, my dear, to have given him one + of your set-downs. I quite detest the man.” + + + + + Chapter 4 + + When Jane and Elizabeth were alone, the former, who had been + cautious in her praise of Mr. Bingley before, expressed to her + sister just how very much she admired him. + + “He is just what a young man ought to be,” said she, “sensible, + good-humoured, lively; and I never saw such happy manners!—so + much ease, with such perfect good breeding!” + + “He is also handsome,” replied Elizabeth, “which a young man + ought likewise to be, if he possibly can. His character is + thereby complete.” + + “I was very much flattered by his asking me to dance a second + time. I did not expect such a compliment.” + + “Did not you? _I_ did for you. But that is one great difference + between us. Compliments always take _you_ by surprise, and _me_ + never. What could be more natural than his asking you again? He + could not help seeing that you were about five times as pretty as + every other woman in the room. No thanks to his gallantry for + that. Well, he certainly is very agreeable, and I give you leave + to like him. You have liked many a stupider person.” + + “Dear Lizzy!” + + “Oh! you are a great deal too apt, you know, to like people in + general. You never see a fault in anybody. All the world are good + and agreeable in your eyes. I never heard you speak ill of a + human being in your life.” + + “I would not wish to be hasty in censuring anyone; but I always + speak what I think.” + + “I know you do; and it is _that_ which makes the wonder. With + _your_ good sense, to be so honestly blind to the follies and + nonsense of others! Affectation of candour is common enough—one + meets with it everywhere. But to be candid without ostentation or + design—to take the good of everybody’s character and make it + still better, and say nothing of the bad—belongs to you alone. + And so you like this man’s sisters, too, do you? Their manners + are not equal to his.” + + “Certainly not—at first. But they are very pleasing women when + you converse with them. Miss Bingley is to live with her brother, + and keep his house; and I am much mistaken if we shall not find a + very charming neighbour in her.” + + Elizabeth listened in silence, but was not convinced; their + behaviour at the assembly had not been calculated to please in + general; and with more quickness of observation and less pliancy + of temper than her sister, and with a judgement too unassailed by + any attention to herself, she was very little disposed to approve + them. They were in fact very fine ladies; not deficient in good + humour when they were pleased, nor in the power of making + themselves agreeable when they chose it, but proud and conceited. + They were rather handsome, had been educated in one of the first + private seminaries in town, had a fortune of twenty thousand + pounds, were in the habit of spending more than they ought, and + of associating with people of rank, and were therefore in every + respect entitled to think well of themselves, and meanly of + others. They were of a respectable family in the north of + England; a circumstance more deeply impressed on their memories + than that their brother’s fortune and their own had been acquired + by trade. + + Mr. Bingley inherited property to the amount of nearly a hundred + thousand pounds from his father, who had intended to purchase an + estate, but did not live to do it. Mr. Bingley intended it + likewise, and sometimes made choice of his county; but as he was + now provided with a good house and the liberty of a manor, it was + doubtful to many of those who best knew the easiness of his + temper, whether he might not spend the remainder of his days at + Netherfield, and leave the next generation to purchase. + + His sisters were anxious for his having an estate of his own; + but, though he was now only established as a tenant, Miss Bingley + was by no means unwilling to preside at his table—nor was Mrs. + Hurst, who had married a man of more fashion than fortune, less + disposed to consider his house as her home when it suited her. + Mr. Bingley had not been of age two years, when he was tempted by + an accidental recommendation to look at Netherfield House. He did + look at it, and into it for half-an-hour—was pleased with the + situation and the principal rooms, satisfied with what the owner + said in its praise, and took it immediately. + + Between him and Darcy there was a very steady friendship, in + spite of great opposition of character. Bingley was endeared to + Darcy by the easiness, openness, and ductility of his temper, + though no disposition could offer a greater contrast to his own, + and though with his own he never appeared dissatisfied. On the + strength of Darcy’s regard, Bingley had the firmest reliance, and + of his judgement the highest opinion. In understanding, Darcy was + the superior. Bingley was by no means deficient, but Darcy was + clever. He was at the same time haughty, reserved, and + fastidious, and his manners, though well-bred, were not inviting. + In that respect his friend had greatly the advantage. Bingley was + sure of being liked wherever he appeared, Darcy was continually + giving offense. + + The manner in which they spoke of the Meryton assembly was + sufficiently characteristic. Bingley had never met with more + pleasant people or prettier girls in his life; everybody had been + most kind and attentive to him; there had been no formality, no + stiffness; he had soon felt acquainted with all the room; and, as + to Miss Bennet, he could not conceive an angel more beautiful. + Darcy, on the contrary, had seen a collection of people in whom + there was little beauty and no fashion, for none of whom he had + felt the smallest interest, and from none received either + attention or pleasure. Miss Bennet he acknowledged to be pretty, + but she smiled too much. + + Mrs. Hurst and her sister allowed it to be so—but still they + admired her and liked her, and pronounced her to be a sweet girl, + and one whom they would not object to know more of. Miss Bennet + was therefore established as a sweet girl, and their brother felt + authorized by such commendation to think of her as he chose. + + + + + Chapter 5 + + Within a short walk of Longbourn lived a family with whom the + Bennets were particularly intimate. Sir William Lucas had been + formerly in trade in Meryton, where he had made a tolerable + fortune, and risen to the honour of knighthood by an address to + the king during his mayoralty. The distinction had perhaps been + felt too strongly. It had given him a disgust to his business, + and to his residence in a small market town; and, in quitting + them both, he had removed with his family to a house about a mile + from Meryton, denominated from that period Lucas Lodge, where he + could think with pleasure of his own importance, and, unshackled + by business, occupy himself solely in being civil to all the + world. For, though elated by his rank, it did not render him + supercilious; on the contrary, he was all attention to everybody. + By nature inoffensive, friendly, and obliging, his presentation + at St. James’s had made him courteous. + + Lady Lucas was a very good kind of woman, not too clever to be a + valuable neighbour to Mrs. Bennet. They had several children. The + eldest of them, a sensible, intelligent young woman, about + twenty-seven, was Elizabeth’s intimate friend. + + That the Miss Lucases and the Miss Bennets should meet to talk + over a ball was absolutely necessary; and the morning after the + assembly brought the former to Longbourn to hear and to + communicate. + + “_You_ began the evening well, Charlotte,” said Mrs. Bennet with + civil self-command to Miss Lucas. “_You_ were Mr. Bingley’s first + choice.” + + “Yes; but he seemed to like his second better.” + + “Oh! you mean Jane, I suppose, because he danced with her twice. + To be sure that _did_ seem as if he admired her—indeed I rather + believe he _did_—I heard something about it—but I hardly know + what—something about Mr. Robinson.” + + “Perhaps you mean what I overheard between him and Mr. Robinson; + did not I mention it to you? Mr. Robinson’s asking him how he + liked our Meryton assemblies, and whether he did not think there + were a great many pretty women in the room, and _which_ he + thought the prettiest? and his answering immediately to the last + question: ‘Oh! the eldest Miss Bennet, beyond a doubt; there + cannot be two opinions on that point.’” + + “Upon my word! Well, that is very decided indeed—that does seem + as if—but, however, it may all come to nothing, you know.” + + “_My_ overhearings were more to the purpose than _yours_, Eliza,” + said Charlotte. “Mr. Darcy is not so well worth listening to as + his friend, is he?—poor Eliza!—to be only just _tolerable_.” + + “I beg you would not put it into Lizzy’s head to be vexed by his + ill-treatment, for he is such a disagreeable man, that it would + be quite a misfortune to be liked by him. Mrs. Long told me last + night that he sat close to her for half-an-hour without once + opening his lips.” + + “Are you quite sure, ma’am?—is not there a little mistake?” said + Jane. “I certainly saw Mr. Darcy speaking to her.” + + “Aye—because she asked him at last how he liked Netherfield, and + he could not help answering her; but she said he seemed quite + angry at being spoke to.” + + “Miss Bingley told me,” said Jane, “that he never speaks much, + unless among his intimate acquaintances. With _them_ he is + remarkably agreeable.” + + “I do not believe a word of it, my dear. If he had been so very + agreeable, he would have talked to Mrs. Long. But I can guess how + it was; everybody says that he is eat up with pride, and I dare + say he had heard somehow that Mrs. Long does not keep a carriage, + and had come to the ball in a hack chaise.” + + “I do not mind his not talking to Mrs. Long,” said Miss Lucas, + “but I wish he had danced with Eliza.” + + “Another time, Lizzy,” said her mother, “I would not dance with + _him_, if I were you.” + + “I believe, ma’am, I may safely promise you _never_ to dance with + him.” + + “His pride,” said Miss Lucas, “does not offend _me_ so much as + pride often does, because there is an excuse for it. One cannot + wonder that so very fine a young man, with family, fortune, + everything in his favour, should think highly of himself. If I + may so express it, he has a _right_ to be proud.” + + “That is very true,” replied Elizabeth, “and I could easily + forgive _his_ pride, if he had not mortified _mine_.” + + “Pride,” observed Mary, who piqued herself upon the solidity of + her reflections, “is a very common failing, I believe. By all + that I have ever read, I am convinced that it is very common + indeed; that human nature is particularly prone to it, and that + there are very few of us who do not cherish a feeling of + self-complacency on the score of some quality or other, real or + imaginary. Vanity and pride are different things, though the + words are often used synonymously. A person may be proud without + being vain. Pride relates more to our opinion of ourselves, + vanity to what we would have others think of us.” + + “If I were as rich as Mr. Darcy,” cried a young Lucas, who came + with his sisters, “I should not care how proud I was. I would + keep a pack of foxhounds, and drink a bottle of wine a day.” + + “Then you would drink a great deal more than you ought,” said + Mrs. Bennet; “and if I were to see you at it, I should take away + your bottle directly.” + + The boy protested that she should not; she continued to declare + that she would, and the argument ended only with the visit. + + + + + Chapter 6 + + The ladies of Longbourn soon waited on those of Netherfield. The + visit was soon returned in due form. Miss Bennet’s pleasing + manners grew on the goodwill of Mrs. Hurst and Miss Bingley; and + though the mother was found to be intolerable, and the younger + sisters not worth speaking to, a wish of being better acquainted + with _them_ was expressed towards the two eldest. By Jane, this + attention was received with the greatest pleasure, but Elizabeth + still saw superciliousness in their treatment of everybody, + hardly excepting even her sister, and could not like them; though + their kindness to Jane, such as it was, had a value as arising in + all probability from the influence of their brother’s admiration. + It was generally evident whenever they met, that he _did_ admire + her and to _her_ it was equally evident that Jane was yielding to + the preference which she had begun to entertain for him from the + first, and was in a way to be very much in love; but she + considered with pleasure that it was not likely to be discovered + by the world in general, since Jane united, with great strength + of feeling, a composure of temper and a uniform cheerfulness of + manner which would guard her from the suspicions of the + impertinent. She mentioned this to her friend Miss Lucas. + + “It may perhaps be pleasant,” replied Charlotte, “to be able to + impose on the public in such a case; but it is sometimes a + disadvantage to be so very guarded. If a woman conceals her + affection with the same skill from the object of it, she may lose + the opportunity of fixing him; and it will then be but poor + consolation to believe the world equally in the dark. There is so + much of gratitude or vanity in almost every attachment, that it + is not safe to leave any to itself. We can all _begin_ freely—a + slight preference is natural enough; but there are very few of us + who have heart enough to be really in love without encouragement. + In nine cases out of ten a woman had better show _more_ affection + than she feels. Bingley likes your sister undoubtedly; but he may + never do more than like her, if she does not help him on.” + + “But she does help him on, as much as her nature will allow. If + _I_ can perceive her regard for him, he must be a simpleton, + indeed, not to discover it too.” + + “Remember, Eliza, that he does not know Jane’s disposition as you + do.” + + “But if a woman is partial to a man, and does not endeavour to + conceal it, he must find it out.” + + “Perhaps he must, if he sees enough of her. But, though Bingley + and Jane meet tolerably often, it is never for many hours + together; and, as they always see each other in large mixed + parties, it is impossible that every moment should be employed in + conversing together. Jane should therefore make the most of every + half-hour in which she can command his attention. When she is + secure of him, there will be more leisure for falling in love as + much as she chooses.” + + “Your plan is a good one,” replied Elizabeth, “where nothing is + in question but the desire of being well married, and if I were + determined to get a rich husband, or any husband, I dare say I + should adopt it. But these are not Jane’s feelings; she is not + acting by design. As yet, she cannot even be certain of the + degree of her own regard nor of its reasonableness. She has known + him only a fortnight. She danced four dances with him at Meryton; + she saw him one morning at his own house, and has since dined + with him in company four times. This is not quite enough to make + her understand his character.” + + “Not as you represent it. Had she merely _dined_ with him, she + might only have discovered whether he had a good appetite; but + you must remember that four evenings have also been spent + together—and four evenings may do a great deal.” + + “Yes; these four evenings have enabled them to ascertain that + they both like Vingt-un better than Commerce; but with respect to + any other leading characteristic, I do not imagine that much has + been unfolded.” + + “Well,” said Charlotte, “I wish Jane success with all my heart; + and if she were married to him to-morrow, I should think she had + as good a chance of happiness as if she were to be studying his + character for a twelvemonth. Happiness in marriage is entirely a + matter of chance. If the dispositions of the parties are ever so + well known to each other or ever so similar beforehand, it does + not advance their felicity in the least. They always continue to + grow sufficiently unlike afterwards to have their share of + vexation; and it is better to know as little as possible of the + defects of the person with whom you are to pass your life.” + + “You make me laugh, Charlotte; but it is not sound. You know it + is not sound, and that you would never act in this way yourself.” + + Occupied in observing Mr. Bingley’s attentions to her sister, + Elizabeth was far from suspecting that she was herself becoming + an object of some interest in the eyes of his friend. Mr. Darcy + had at first scarcely allowed her to be pretty; he had looked at + her without admiration at the ball; and when they next met, he + looked at her only to criticise. But no sooner had he made it + clear to himself and his friends that she hardly had a good + feature in her face, than he began to find it was rendered + uncommonly intelligent by the beautiful expression of her dark + eyes. To this discovery succeeded some others equally mortifying. + Though he had detected with a critical eye more than one failure + of perfect symmetry in her form, he was forced to acknowledge her + figure to be light and pleasing; and in spite of his asserting + that her manners were not those of the fashionable world, he was + caught by their easy playfulness. Of this she was perfectly + unaware; to her he was only the man who made himself agreeable + nowhere, and who had not thought her handsome enough to dance + with. + + He began to wish to know more of her, and as a step towards + conversing with her himself, attended to her conversation with + others. His doing so drew her notice. It was at Sir William + Lucas’s, where a large party were assembled. + + “What does Mr. Darcy mean,” said she to Charlotte, “by listening + to my conversation with Colonel Forster?” + + “That is a question which Mr. Darcy only can answer.” + + “But if he does it any more I shall certainly let him know that I + see what he is about. He has a very satirical eye, and if I do + not begin by being impertinent myself, I shall soon grow afraid + of him.” + + On his approaching them soon afterwards, though without seeming + to have any intention of speaking, Miss Lucas defied her friend + to mention such a subject to him; which immediately provoking + Elizabeth to do it, she turned to him and said: + + “Did you not think, Mr. Darcy, that I expressed myself uncommonly + well just now, when I was teasing Colonel Forster to give us a + ball at Meryton?” + + “With great energy; but it is always a subject which makes a lady + energetic.” + + “You are severe on us.” + + “It will be _her_ turn soon to be teased,” said Miss Lucas. “I am + going to open the instrument, Eliza, and you know what follows.” + + “You are a very strange creature by way of a friend!—always + wanting me to play and sing before anybody and everybody! If my + vanity had taken a musical turn, you would have been invaluable; + but as it is, I would really rather not sit down before those who + must be in the habit of hearing the very best performers.” On + Miss Lucas’s persevering, however, she added, “Very well, if it + must be so, it must.” And gravely glancing at Mr. Darcy, “There + is a fine old saying, which everybody here is of course familiar + with: ‘Keep your breath to cool your porridge’; and I shall keep + mine to swell my song.” + + Her performance was pleasing, though by no means capital. After a + song or two, and before she could reply to the entreaties of + several that she would sing again, she was eagerly succeeded at + the instrument by her sister Mary, who having, in consequence of + being the only plain one in the family, worked hard for knowledge + and accomplishments, was always impatient for display. + + Mary had neither genius nor taste; and though vanity had given + her application, it had given her likewise a pedantic air and + conceited manner, which would have injured a higher degree of + excellence than she had reached. Elizabeth, easy and unaffected, + had been listened to with much more pleasure, though not playing + half so well; and Mary, at the end of a long concerto, was glad + to purchase praise and gratitude by Scotch and Irish airs, at the + request of her younger sisters, who, with some of the Lucases, + and two or three officers, joined eagerly in dancing at one end diff --git a/components/E2A-SML/booknlp/data/english/pride_and_prejudice.txt b/components/E2A-SML/booknlp/data/english/pride_and_prejudice.txt new file mode 100644 index 0000000..7720abd --- /dev/null +++ b/components/E2A-SML/booknlp/data/english/pride_and_prejudice.txt @@ -0,0 +1,14594 @@ + +The Project Gutenberg EBook of Pride and Prejudice, by Jane Austen + +This eBook is for the use of anyone anywhere at no cost and with +almost no restrictions whatsoever. You may copy it, give it away or +re-use it under the terms of the Project Gutenberg License included +with this eBook or online at www.gutenberg.org + + +Title: Pride and Prejudice + +Author: Jane Austen + +Release Date: August 26, 2008 [EBook #1342] +Last Updated: November 12, 2019 + + +Language: English + +Character set encoding: UTF-8 + +*** START OF THIS PROJECT GUTENBERG EBOOK PRIDE AND PREJUDICE *** + + + + +Produced by Anonymous Volunteers, and David Widger + +THERE IS AN ILLUSTRATED EDITION OF THIS TITLE WHICH MAY VIEWED AT EBOOK +[# 42671 ] + +cover + + + + + Pride and Prejudice + + By Jane Austen + + CONTENTS + + Chapter 1 + + Chapter 2 + + Chapter 3 + + Chapter 4 + + Chapter 5 + + Chapter 6 + + Chapter 7 + + Chapter 8 + + Chapter 9 + + Chapter 10 + + Chapter 11 + + Chapter 12 + + Chapter 13 + + Chapter 14 + + Chapter 15 + + Chapter 16 + + Chapter 17 + + Chapter 18 + + Chapter 19 + + Chapter 20 + + Chapter 21 + + Chapter 22 + + Chapter 23 + + Chapter 24 + + Chapter 25 + + Chapter 26 + + Chapter 27 + + Chapter 28 + + Chapter 29 + + Chapter 30 + + Chapter 31 + + Chapter 32 + + Chapter 33 + + Chapter 34 + + Chapter 35 + + Chapter 36 + + Chapter 37 + + Chapter 38 + + Chapter 39 + + Chapter 40 + + Chapter 41 + + Chapter 42 + + Chapter 43 + + Chapter 44 + + Chapter 45 + + Chapter 46 + + Chapter 47 + + Chapter 48 + + Chapter 49 + + Chapter 50 + + Chapter 51 + + Chapter 52 + + Chapter 53 + + Chapter 54 + + Chapter 55 + + Chapter 56 + + Chapter 57 + + Chapter 58 + + Chapter 59 + + Chapter 60 + + Chapter 61 + + + + + Chapter 1 + + It is a truth universally acknowledged, that a single man in + possession of a good fortune, must be in want of a wife. + + However little known the feelings or views of such a man may be + on his first entering a neighbourhood, this truth is so well + fixed in the minds of the surrounding families, that he is + considered the rightful property of some one or other of their + daughters. + + “My dear Mr. Bennet,” said his lady to him one day, “have you + heard that Netherfield Park is let at last?” + + Mr. Bennet replied that he had not. + + “But it is,” returned she; “for Mrs. Long has just been here, and + she told me all about it.” + + Mr. Bennet made no answer. + + “Do you not want to know who has taken it?” cried his wife + impatiently. + + “_You_ want to tell me, and I have no objection to hearing it.” + + This was invitation enough. + + “Why, my dear, you must know, Mrs. Long says that Netherfield is + taken by a young man of large fortune from the north of England; + that he came down on Monday in a chaise and four to see the + place, and was so much delighted with it, that he agreed with Mr. + Morris immediately; that he is to take possession before + Michaelmas, and some of his servants are to be in the house by + the end of next week.” + + “What is his name?” + + “Bingley.” + + “Is he married or single?” + + “Oh! Single, my dear, to be sure! A single man of large fortune; + four or five thousand a year. What a fine thing for our girls!” + + “How so? How can it affect them?” + + “My dear Mr. Bennet,” replied his wife, “how can you be so + tiresome! You must know that I am thinking of his marrying one of + them.” + + “Is that his design in settling here?” + + “Design! Nonsense, how can you talk so! But it is very likely + that he _may_ fall in love with one of them, and therefore you + must visit him as soon as he comes.” + + “I see no occasion for that. You and the girls may go, or you may + send them by themselves, which perhaps will be still better, for + as you are as handsome as any of them, Mr. Bingley may like you + the best of the party.” + + “My dear, you flatter me. I certainly _have_ had my share of + beauty, but I do not pretend to be anything extraordinary now. + When a woman has five grown-up daughters, she ought to give over + thinking of her own beauty.” + + “In such cases, a woman has not often much beauty to think of.” + + “But, my dear, you must indeed go and see Mr. Bingley when he + comes into the neighbourhood.” + + “It is more than I engage for, I assure you.” + + “But consider your daughters. Only think what an establishment it + would be for one of them. Sir William and Lady Lucas are + determined to go, merely on that account, for in general, you + know, they visit no newcomers. Indeed you must go, for it will be + impossible for _us_ to visit him if you do not.” + + “You are over-scrupulous, surely. I dare say Mr. Bingley will be + very glad to see you; and I will send a few lines by you to + assure him of my hearty consent to his marrying whichever he + chooses of the girls; though I must throw in a good word for my + little Lizzy.” + + “I desire you will do no such thing. Lizzy is not a bit better + than the others; and I am sure she is not half so handsome as + Jane, nor half so good-humoured as Lydia. But you are always + giving _her_ the preference.” + + “They have none of them much to recommend them,” replied he; + “they are all silly and ignorant like other girls; but Lizzy has + something more of quickness than her sisters.” + + “Mr. Bennet, how can you abuse your own children in such a way? + You take delight in vexing me. You have no compassion for my poor + nerves.” + + “You mistake me, my dear. I have a high respect for your nerves. + They are my old friends. I have heard you mention them with + consideration these last twenty years at least.” + + “Ah, you do not know what I suffer.” + + “But I hope you will get over it, and live to see many young men + of four thousand a year come into the neighbourhood.” + + “It will be no use to us, if twenty such should come, since you + will not visit them.” + + “Depend upon it, my dear, that when there are twenty, I will + visit them all.” + + Mr. Bennet was so odd a mixture of quick parts, sarcastic humour, + reserve, and caprice, that the experience of three-and-twenty + years had been insufficient to make his wife understand his + character. _Her_ mind was less difficult to develop. She was a + woman of mean understanding, little information, and uncertain + temper. When she was discontented, she fancied herself nervous. + The business of her life was to get her daughters married; its + solace was visiting and news. + + + + + Chapter 2 + + Mr. Bennet was among the earliest of those who waited on Mr. + Bingley. He had always intended to visit him, though to the last + always assuring his wife that he should not go; and till the + evening after the visit was paid she had no knowledge of it. It + was then disclosed in the following manner. Observing his second + daughter employed in trimming a hat, he suddenly addressed her + with: + + “I hope Mr. Bingley will like it, Lizzy.” + + “We are not in a way to know _what_ Mr. Bingley likes,” said her + mother resentfully, “since we are not to visit.” + + “But you forget, mamma,” said Elizabeth, “that we shall meet him + at the assemblies, and that Mrs. Long promised to introduce him.” + + “I do not believe Mrs. Long will do any such thing. She has two + nieces of her own. She is a selfish, hypocritical woman, and I + have no opinion of her.” + + “No more have I,” said Mr. Bennet; “and I am glad to find that + you do not depend on her serving you.” + + Mrs. Bennet deigned not to make any reply, but, unable to contain + herself, began scolding one of her daughters. + + “Don’t keep coughing so, Kitty, for Heaven’s sake! Have a little + compassion on my nerves. You tear them to pieces.” + + “Kitty has no discretion in her coughs,” said her father; “she + times them ill.” + + “I do not cough for my own amusement,” replied Kitty fretfully. + “When is your next ball to be, Lizzy?” + + “To-morrow fortnight.” + + “Aye, so it is,” cried her mother, “and Mrs. Long does not come + back till the day before; so it will be impossible for her to + introduce him, for she will not know him herself.” + + “Then, my dear, you may have the advantage of your friend, and + introduce Mr. Bingley to _her_.” + + “Impossible, Mr. Bennet, impossible, when I am not acquainted + with him myself; how can you be so teasing?” + + “I honour your circumspection. A fortnight’s acquaintance is + certainly very little. One cannot know what a man really is by + the end of a fortnight. But if _we_ do not venture somebody else + will; and after all, Mrs. Long and her nieces must stand their + chance; and, therefore, as she will think it an act of kindness, + if you decline the office, I will take it on myself.” + + The girls stared at their father. Mrs. Bennet said only, + “Nonsense, nonsense!” + + “What can be the meaning of that emphatic exclamation?” cried he. + “Do you consider the forms of introduction, and the stress that + is laid on them, as nonsense? I cannot quite agree with you + _there_. What say you, Mary? For you are a young lady of deep + reflection, I know, and read great books and make extracts.” + + Mary wished to say something sensible, but knew not how. + + “While Mary is adjusting her ideas,” he continued, “let us return + to Mr. Bingley.” + + “I am sick of Mr. Bingley,” cried his wife. + + “I am sorry to hear _that_; but why did not you tell me that + before? If I had known as much this morning I certainly would not + have called on him. It is very unlucky; but as I have actually + paid the visit, we cannot escape the acquaintance now.” + + The astonishment of the ladies was just what he wished; that of + Mrs. Bennet perhaps surpassing the rest; though, when the first + tumult of joy was over, she began to declare that it was what she + had expected all the while. + + “How good it was in you, my dear Mr. Bennet! But I knew I should + persuade you at last. I was sure you loved your girls too well to + neglect such an acquaintance. Well, how pleased I am! and it is + such a good joke, too, that you should have gone this morning and + never said a word about it till now.” + + “Now, Kitty, you may cough as much as you choose,” said Mr. + Bennet; and, as he spoke, he left the room, fatigued with the + raptures of his wife. + + “What an excellent father you have, girls!” said she, when the + door was shut. “I do not know how you will ever make him amends + for his kindness; or me, either, for that matter. At our time of + life it is not so pleasant, I can tell you, to be making new + acquaintances every day; but for your sakes, we would do + anything. Lydia, my love, though you _are_ the youngest, I dare + say Mr. Bingley will dance with you at the next ball.” + + “Oh!” said Lydia stoutly, “I am not afraid; for though I _am_ the + youngest, I’m the tallest.” + + The rest of the evening was spent in conjecturing how soon he + would return Mr. Bennet’s visit, and determining when they should + ask him to dinner. + + + + + Chapter 3 + + Not all that Mrs. Bennet, however, with the assistance of her + five daughters, could ask on the subject, was sufficient to draw + from her husband any satisfactory description of Mr. Bingley. + They attacked him in various ways—with barefaced questions, + ingenious suppositions, and distant surmises; but he eluded the + skill of them all, and they were at last obliged to accept the + second-hand intelligence of their neighbour, Lady Lucas. Her + report was highly favourable. Sir William had been delighted with + him. He was quite young, wonderfully handsome, extremely + agreeable, and, to crown the whole, he meant to be at the next + assembly with a large party. Nothing could be more delightful! To + be fond of dancing was a certain step towards falling in love; + and very lively hopes of Mr. Bingley’s heart were entertained. + + “If I can but see one of my daughters happily settled at + Netherfield,” said Mrs. Bennet to her husband, “and all the + others equally well married, I shall have nothing to wish for.” + + In a few days Mr. Bingley returned Mr. Bennet’s visit, and sat + about ten minutes with him in his library. He had entertained + hopes of being admitted to a sight of the young ladies, of whose + beauty he had heard much; but he saw only the father. The ladies + were somewhat more fortunate, for they had the advantage of + ascertaining from an upper window that he wore a blue coat, and + rode a black horse. + + An invitation to dinner was soon afterwards dispatched; and + already had Mrs. Bennet planned the courses that were to do + credit to her housekeeping, when an answer arrived which deferred + it all. Mr. Bingley was obliged to be in town the following day, + and, consequently, unable to accept the honour of their + invitation, etc. Mrs. Bennet was quite disconcerted. She could + not imagine what business he could have in town so soon after his + arrival in Hertfordshire; and she began to fear that he might be + always flying about from one place to another, and never settled + at Netherfield as he ought to be. Lady Lucas quieted her fears a + little by starting the idea of his being gone to London only to + get a large party for the ball; and a report soon followed that + Mr. Bingley was to bring twelve ladies and seven gentlemen with + him to the assembly. The girls grieved over such a number of + ladies, but were comforted the day before the ball by hearing, + that instead of twelve he brought only six with him from + London—his five sisters and a cousin. And when the party entered + the assembly room it consisted of only five altogether—Mr. + Bingley, his two sisters, the husband of the eldest, and another + young man. + + Mr. Bingley was good-looking and gentlemanlike; he had a pleasant + countenance, and easy, unaffected manners. His sisters were fine + women, with an air of decided fashion. His brother-in-law, Mr. + Hurst, merely looked the gentleman; but his friend Mr. Darcy soon + drew the attention of the room by his fine, tall person, handsome + features, noble mien, and the report which was in general + circulation within five minutes after his entrance, of his having + ten thousand a year. The gentlemen pronounced him to be a fine + figure of a man, the ladies declared he was much handsomer than + Mr. Bingley, and he was looked at with great admiration for about + half the evening, till his manners gave a disgust which turned + the tide of his popularity; for he was discovered to be proud; to + be above his company, and above being pleased; and not all his + large estate in Derbyshire could then save him from having a most + forbidding, disagreeable countenance, and being unworthy to be + compared with his friend. + + Mr. Bingley had soon made himself acquainted with all the + principal people in the room; he was lively and unreserved, + danced every dance, was angry that the ball closed so early, and + talked of giving one himself at Netherfield. Such amiable + qualities must speak for themselves. What a contrast between him + and his friend! Mr. Darcy danced only once with Mrs. Hurst and + once with Miss Bingley, declined being introduced to any other + lady, and spent the rest of the evening in walking about the + room, speaking occasionally to one of his own party. His + character was decided. He was the proudest, most disagreeable man + in the world, and everybody hoped that he would never come there + again. Amongst the most violent against him was Mrs. Bennet, + whose dislike of his general behaviour was sharpened into + particular resentment by his having slighted one of her + daughters. + + Elizabeth Bennet had been obliged, by the scarcity of gentlemen, + to sit down for two dances; and during part of that time, Mr. + Darcy had been standing near enough for her to hear a + conversation between him and Mr. Bingley, who came from the dance + for a few minutes, to press his friend to join it. + + “Come, Darcy,” said he, “I must have you dance. I hate to see you + standing about by yourself in this stupid manner. You had much + better dance.” + + “I certainly shall not. You know how I detest it, unless I am + particularly acquainted with my partner. At such an assembly as + this it would be insupportable. Your sisters are engaged, and + there is not another woman in the room whom it would not be a + punishment to me to stand up with.” + + “I would not be so fastidious as you are,” cried Mr. Bingley, + “for a kingdom! Upon my honour, I never met with so many pleasant + girls in my life as I have this evening; and there are several of + them you see uncommonly pretty.” + + “_You_ are dancing with the only handsome girl in the room,” said + Mr. Darcy, looking at the eldest Miss Bennet. + + “Oh! She is the most beautiful creature I ever beheld! But there + is one of her sisters sitting down just behind you, who is very + pretty, and I dare say very agreeable. Do let me ask my partner + to introduce you.” + + “Which do you mean?” and turning round he looked for a moment at + Elizabeth, till catching her eye, he withdrew his own and coldly + said: “She is tolerable, but not handsome enough to tempt _me_; I + am in no humour at present to give consequence to young ladies + who are slighted by other men. You had better return to your + partner and enjoy her smiles, for you are wasting your time with + me.” + + Mr. Bingley followed his advice. Mr. Darcy walked off; and + Elizabeth remained with no very cordial feelings toward him. She + told the story, however, with great spirit among her friends; for + she had a lively, playful disposition, which delighted in + anything ridiculous. + + The evening altogether passed off pleasantly to the whole family. + Mrs. Bennet had seen her eldest daughter much admired by the + Netherfield party. Mr. Bingley had danced with her twice, and she + had been distinguished by his sisters. Jane was as much gratified + by this as her mother could be, though in a quieter way. + Elizabeth felt Jane’s pleasure. Mary had heard herself mentioned + to Miss Bingley as the most accomplished girl in the + neighbourhood; and Catherine and Lydia had been fortunate enough + never to be without partners, which was all that they had yet + learnt to care for at a ball. They returned, therefore, in good + spirits to Longbourn, the village where they lived, and of which + they were the principal inhabitants. They found Mr. Bennet still + up. With a book he was regardless of time; and on the present + occasion he had a good deal of curiosity as to the event of an + evening which had raised such splendid expectations. He had + rather hoped that his wife’s views on the stranger would be + disappointed; but he soon found out that he had a different story + to hear. + + “Oh, my dear Mr. Bennet,” as she entered the room, “we have had a + most delightful evening, a most excellent ball. I wish you had + been there. Jane was so admired, nothing could be like it. + Everybody said how well she looked; and Mr. Bingley thought her + quite beautiful, and danced with her twice! Only think of _that_, + my dear; he actually danced with her twice! and she was the only + creature in the room that he asked a second time. First of all, + he asked Miss Lucas. I was so vexed to see him stand up with her! + But, however, he did not admire her at all; indeed, nobody can, + you know; and he seemed quite struck with Jane as she was going + down the dance. So he inquired who she was, and got introduced, + and asked her for the two next. Then the two third he danced with + Miss King, and the two fourth with Maria Lucas, and the two fifth + with Jane again, and the two sixth with Lizzy, and the + _Boulanger_—” + + “If he had had any compassion for _me_,” cried her husband + impatiently, “he would not have danced half so much! For God’s + sake, say no more of his partners. Oh that he had sprained his + ankle in the first dance!” + + “Oh! my dear, I am quite delighted with him. He is so excessively + handsome! And his sisters are charming women. I never in my life + saw anything more elegant than their dresses. I dare say the lace + upon Mrs. Hurst’s gown—” + + Here she was interrupted again. Mr. Bennet protested against any + description of finery. She was therefore obliged to seek another + branch of the subject, and related, with much bitterness of + spirit and some exaggeration, the shocking rudeness of Mr. Darcy. + + “But I can assure you,” she added, “that Lizzy does not lose much + by not suiting _his_ fancy; for he is a most disagreeable, horrid + man, not at all worth pleasing. So high and so conceited that + there was no enduring him! He walked here, and he walked there, + fancying himself so very great! Not handsome enough to dance + with! I wish you had been there, my dear, to have given him one + of your set-downs. I quite detest the man.” + + + + + Chapter 4 + + When Jane and Elizabeth were alone, the former, who had been + cautious in her praise of Mr. Bingley before, expressed to her + sister just how very much she admired him. + + “He is just what a young man ought to be,” said she, “sensible, + good-humoured, lively; and I never saw such happy manners!—so + much ease, with such perfect good breeding!” + + “He is also handsome,” replied Elizabeth, “which a young man + ought likewise to be, if he possibly can. His character is + thereby complete.” + + “I was very much flattered by his asking me to dance a second + time. I did not expect such a compliment.” + + “Did not you? _I_ did for you. But that is one great difference + between us. Compliments always take _you_ by surprise, and _me_ + never. What could be more natural than his asking you again? He + could not help seeing that you were about five times as pretty as + every other woman in the room. No thanks to his gallantry for + that. Well, he certainly is very agreeable, and I give you leave + to like him. You have liked many a stupider person.” + + “Dear Lizzy!” + + “Oh! you are a great deal too apt, you know, to like people in + general. You never see a fault in anybody. All the world are good + and agreeable in your eyes. I never heard you speak ill of a + human being in your life.” + + “I would not wish to be hasty in censuring anyone; but I always + speak what I think.” + + “I know you do; and it is _that_ which makes the wonder. With + _your_ good sense, to be so honestly blind to the follies and + nonsense of others! Affectation of candour is common enough—one + meets with it everywhere. But to be candid without ostentation or + design—to take the good of everybody’s character and make it + still better, and say nothing of the bad—belongs to you alone. + And so you like this man’s sisters, too, do you? Their manners + are not equal to his.” + + “Certainly not—at first. But they are very pleasing women when + you converse with them. Miss Bingley is to live with her brother, + and keep his house; and I am much mistaken if we shall not find a + very charming neighbour in her.” + + Elizabeth listened in silence, but was not convinced; their + behaviour at the assembly had not been calculated to please in + general; and with more quickness of observation and less pliancy + of temper than her sister, and with a judgement too unassailed by + any attention to herself, she was very little disposed to approve + them. They were in fact very fine ladies; not deficient in good + humour when they were pleased, nor in the power of making + themselves agreeable when they chose it, but proud and conceited. + They were rather handsome, had been educated in one of the first + private seminaries in town, had a fortune of twenty thousand + pounds, were in the habit of spending more than they ought, and + of associating with people of rank, and were therefore in every + respect entitled to think well of themselves, and meanly of + others. They were of a respectable family in the north of + England; a circumstance more deeply impressed on their memories + than that their brother’s fortune and their own had been acquired + by trade. + + Mr. Bingley inherited property to the amount of nearly a hundred + thousand pounds from his father, who had intended to purchase an + estate, but did not live to do it. Mr. Bingley intended it + likewise, and sometimes made choice of his county; but as he was + now provided with a good house and the liberty of a manor, it was + doubtful to many of those who best knew the easiness of his + temper, whether he might not spend the remainder of his days at + Netherfield, and leave the next generation to purchase. + + His sisters were anxious for his having an estate of his own; + but, though he was now only established as a tenant, Miss Bingley + was by no means unwilling to preside at his table—nor was Mrs. + Hurst, who had married a man of more fashion than fortune, less + disposed to consider his house as her home when it suited her. + Mr. Bingley had not been of age two years, when he was tempted by + an accidental recommendation to look at Netherfield House. He did + look at it, and into it for half-an-hour—was pleased with the + situation and the principal rooms, satisfied with what the owner + said in its praise, and took it immediately. + + Between him and Darcy there was a very steady friendship, in + spite of great opposition of character. Bingley was endeared to + Darcy by the easiness, openness, and ductility of his temper, + though no disposition could offer a greater contrast to his own, + and though with his own he never appeared dissatisfied. On the + strength of Darcy’s regard, Bingley had the firmest reliance, and + of his judgement the highest opinion. In understanding, Darcy was + the superior. Bingley was by no means deficient, but Darcy was + clever. He was at the same time haughty, reserved, and + fastidious, and his manners, though well-bred, were not inviting. + In that respect his friend had greatly the advantage. Bingley was + sure of being liked wherever he appeared, Darcy was continually + giving offense. + + The manner in which they spoke of the Meryton assembly was + sufficiently characteristic. Bingley had never met with more + pleasant people or prettier girls in his life; everybody had been + most kind and attentive to him; there had been no formality, no + stiffness; he had soon felt acquainted with all the room; and, as + to Miss Bennet, he could not conceive an angel more beautiful. + Darcy, on the contrary, had seen a collection of people in whom + there was little beauty and no fashion, for none of whom he had + felt the smallest interest, and from none received either + attention or pleasure. Miss Bennet he acknowledged to be pretty, + but she smiled too much. + + Mrs. Hurst and her sister allowed it to be so—but still they + admired her and liked her, and pronounced her to be a sweet girl, + and one whom they would not object to know more of. Miss Bennet + was therefore established as a sweet girl, and their brother felt + authorized by such commendation to think of her as he chose. + + + + + Chapter 5 + + Within a short walk of Longbourn lived a family with whom the + Bennets were particularly intimate. Sir William Lucas had been + formerly in trade in Meryton, where he had made a tolerable + fortune, and risen to the honour of knighthood by an address to + the king during his mayoralty. The distinction had perhaps been + felt too strongly. It had given him a disgust to his business, + and to his residence in a small market town; and, in quitting + them both, he had removed with his family to a house about a mile + from Meryton, denominated from that period Lucas Lodge, where he + could think with pleasure of his own importance, and, unshackled + by business, occupy himself solely in being civil to all the + world. For, though elated by his rank, it did not render him + supercilious; on the contrary, he was all attention to everybody. + By nature inoffensive, friendly, and obliging, his presentation + at St. James’s had made him courteous. + + Lady Lucas was a very good kind of woman, not too clever to be a + valuable neighbour to Mrs. Bennet. They had several children. The + eldest of them, a sensible, intelligent young woman, about + twenty-seven, was Elizabeth’s intimate friend. + + That the Miss Lucases and the Miss Bennets should meet to talk + over a ball was absolutely necessary; and the morning after the + assembly brought the former to Longbourn to hear and to + communicate. + + “_You_ began the evening well, Charlotte,” said Mrs. Bennet with + civil self-command to Miss Lucas. “_You_ were Mr. Bingley’s first + choice.” + + “Yes; but he seemed to like his second better.” + + “Oh! you mean Jane, I suppose, because he danced with her twice. + To be sure that _did_ seem as if he admired her—indeed I rather + believe he _did_—I heard something about it—but I hardly know + what—something about Mr. Robinson.” + + “Perhaps you mean what I overheard between him and Mr. Robinson; + did not I mention it to you? Mr. Robinson’s asking him how he + liked our Meryton assemblies, and whether he did not think there + were a great many pretty women in the room, and _which_ he + thought the prettiest? and his answering immediately to the last + question: ‘Oh! the eldest Miss Bennet, beyond a doubt; there + cannot be two opinions on that point.’” + + “Upon my word! Well, that is very decided indeed—that does seem + as if—but, however, it may all come to nothing, you know.” + + “_My_ overhearings were more to the purpose than _yours_, Eliza,” + said Charlotte. “Mr. Darcy is not so well worth listening to as + his friend, is he?—poor Eliza!—to be only just _tolerable_.” + + “I beg you would not put it into Lizzy’s head to be vexed by his + ill-treatment, for he is such a disagreeable man, that it would + be quite a misfortune to be liked by him. Mrs. Long told me last + night that he sat close to her for half-an-hour without once + opening his lips.” + + “Are you quite sure, ma’am?—is not there a little mistake?” said + Jane. “I certainly saw Mr. Darcy speaking to her.” + + “Aye—because she asked him at last how he liked Netherfield, and + he could not help answering her; but she said he seemed quite + angry at being spoke to.” + + “Miss Bingley told me,” said Jane, “that he never speaks much, + unless among his intimate acquaintances. With _them_ he is + remarkably agreeable.” + + “I do not believe a word of it, my dear. If he had been so very + agreeable, he would have talked to Mrs. Long. But I can guess how + it was; everybody says that he is eat up with pride, and I dare + say he had heard somehow that Mrs. Long does not keep a carriage, + and had come to the ball in a hack chaise.” + + “I do not mind his not talking to Mrs. Long,” said Miss Lucas, + “but I wish he had danced with Eliza.” + + “Another time, Lizzy,” said her mother, “I would not dance with + _him_, if I were you.” + + “I believe, ma’am, I may safely promise you _never_ to dance with + him.” + + “His pride,” said Miss Lucas, “does not offend _me_ so much as + pride often does, because there is an excuse for it. One cannot + wonder that so very fine a young man, with family, fortune, + everything in his favour, should think highly of himself. If I + may so express it, he has a _right_ to be proud.” + + “That is very true,” replied Elizabeth, “and I could easily + forgive _his_ pride, if he had not mortified _mine_.” + + “Pride,” observed Mary, who piqued herself upon the solidity of + her reflections, “is a very common failing, I believe. By all + that I have ever read, I am convinced that it is very common + indeed; that human nature is particularly prone to it, and that + there are very few of us who do not cherish a feeling of + self-complacency on the score of some quality or other, real or + imaginary. Vanity and pride are different things, though the + words are often used synonymously. A person may be proud without + being vain. Pride relates more to our opinion of ourselves, + vanity to what we would have others think of us.” + + “If I were as rich as Mr. Darcy,” cried a young Lucas, who came + with his sisters, “I should not care how proud I was. I would + keep a pack of foxhounds, and drink a bottle of wine a day.” + + “Then you would drink a great deal more than you ought,” said + Mrs. Bennet; “and if I were to see you at it, I should take away + your bottle directly.” + + The boy protested that she should not; she continued to declare + that she would, and the argument ended only with the visit. + + + + + Chapter 6 + + The ladies of Longbourn soon waited on those of Netherfield. The + visit was soon returned in due form. Miss Bennet’s pleasing + manners grew on the goodwill of Mrs. Hurst and Miss Bingley; and + though the mother was found to be intolerable, and the younger + sisters not worth speaking to, a wish of being better acquainted + with _them_ was expressed towards the two eldest. By Jane, this + attention was received with the greatest pleasure, but Elizabeth + still saw superciliousness in their treatment of everybody, + hardly excepting even her sister, and could not like them; though + their kindness to Jane, such as it was, had a value as arising in + all probability from the influence of their brother’s admiration. + It was generally evident whenever they met, that he _did_ admire + her and to _her_ it was equally evident that Jane was yielding to + the preference which she had begun to entertain for him from the + first, and was in a way to be very much in love; but she + considered with pleasure that it was not likely to be discovered + by the world in general, since Jane united, with great strength + of feeling, a composure of temper and a uniform cheerfulness of + manner which would guard her from the suspicions of the + impertinent. She mentioned this to her friend Miss Lucas. + + “It may perhaps be pleasant,” replied Charlotte, “to be able to + impose on the public in such a case; but it is sometimes a + disadvantage to be so very guarded. If a woman conceals her + affection with the same skill from the object of it, she may lose + the opportunity of fixing him; and it will then be but poor + consolation to believe the world equally in the dark. There is so + much of gratitude or vanity in almost every attachment, that it + is not safe to leave any to itself. We can all _begin_ freely—a + slight preference is natural enough; but there are very few of us + who have heart enough to be really in love without encouragement. + In nine cases out of ten a woman had better show _more_ affection + than she feels. Bingley likes your sister undoubtedly; but he may + never do more than like her, if she does not help him on.” + + “But she does help him on, as much as her nature will allow. If + _I_ can perceive her regard for him, he must be a simpleton, + indeed, not to discover it too.” + + “Remember, Eliza, that he does not know Jane’s disposition as you + do.” + + “But if a woman is partial to a man, and does not endeavour to + conceal it, he must find it out.” + + “Perhaps he must, if he sees enough of her. But, though Bingley + and Jane meet tolerably often, it is never for many hours + together; and, as they always see each other in large mixed + parties, it is impossible that every moment should be employed in + conversing together. Jane should therefore make the most of every + half-hour in which she can command his attention. When she is + secure of him, there will be more leisure for falling in love as + much as she chooses.” + + “Your plan is a good one,” replied Elizabeth, “where nothing is + in question but the desire of being well married, and if I were + determined to get a rich husband, or any husband, I dare say I + should adopt it. But these are not Jane’s feelings; she is not + acting by design. As yet, she cannot even be certain of the + degree of her own regard nor of its reasonableness. She has known + him only a fortnight. She danced four dances with him at Meryton; + she saw him one morning at his own house, and has since dined + with him in company four times. This is not quite enough to make + her understand his character.” + + “Not as you represent it. Had she merely _dined_ with him, she + might only have discovered whether he had a good appetite; but + you must remember that four evenings have also been spent + together—and four evenings may do a great deal.” + + “Yes; these four evenings have enabled them to ascertain that + they both like Vingt-un better than Commerce; but with respect to + any other leading characteristic, I do not imagine that much has + been unfolded.” + + “Well,” said Charlotte, “I wish Jane success with all my heart; + and if she were married to him to-morrow, I should think she had + as good a chance of happiness as if she were to be studying his + character for a twelvemonth. Happiness in marriage is entirely a + matter of chance. If the dispositions of the parties are ever so + well known to each other or ever so similar beforehand, it does + not advance their felicity in the least. They always continue to + grow sufficiently unlike afterwards to have their share of + vexation; and it is better to know as little as possible of the + defects of the person with whom you are to pass your life.” + + “You make me laugh, Charlotte; but it is not sound. You know it + is not sound, and that you would never act in this way yourself.” + + Occupied in observing Mr. Bingley’s attentions to her sister, + Elizabeth was far from suspecting that she was herself becoming + an object of some interest in the eyes of his friend. Mr. Darcy + had at first scarcely allowed her to be pretty; he had looked at + her without admiration at the ball; and when they next met, he + looked at her only to criticise. But no sooner had he made it + clear to himself and his friends that she hardly had a good + feature in her face, than he began to find it was rendered + uncommonly intelligent by the beautiful expression of her dark + eyes. To this discovery succeeded some others equally mortifying. + Though he had detected with a critical eye more than one failure + of perfect symmetry in her form, he was forced to acknowledge her + figure to be light and pleasing; and in spite of his asserting + that her manners were not those of the fashionable world, he was + caught by their easy playfulness. Of this she was perfectly + unaware; to her he was only the man who made himself agreeable + nowhere, and who had not thought her handsome enough to dance + with. + + He began to wish to know more of her, and as a step towards + conversing with her himself, attended to her conversation with + others. His doing so drew her notice. It was at Sir William + Lucas’s, where a large party were assembled. + + “What does Mr. Darcy mean,” said she to Charlotte, “by listening + to my conversation with Colonel Forster?” + + “That is a question which Mr. Darcy only can answer.” + + “But if he does it any more I shall certainly let him know that I + see what he is about. He has a very satirical eye, and if I do + not begin by being impertinent myself, I shall soon grow afraid + of him.” + + On his approaching them soon afterwards, though without seeming + to have any intention of speaking, Miss Lucas defied her friend + to mention such a subject to him; which immediately provoking + Elizabeth to do it, she turned to him and said: + + “Did you not think, Mr. Darcy, that I expressed myself uncommonly + well just now, when I was teasing Colonel Forster to give us a + ball at Meryton?” + + “With great energy; but it is always a subject which makes a lady + energetic.” + + “You are severe on us.” + + “It will be _her_ turn soon to be teased,” said Miss Lucas. “I am + going to open the instrument, Eliza, and you know what follows.” + + “You are a very strange creature by way of a friend!—always + wanting me to play and sing before anybody and everybody! If my + vanity had taken a musical turn, you would have been invaluable; + but as it is, I would really rather not sit down before those who + must be in the habit of hearing the very best performers.” On + Miss Lucas’s persevering, however, she added, “Very well, if it + must be so, it must.” And gravely glancing at Mr. Darcy, “There + is a fine old saying, which everybody here is of course familiar + with: ‘Keep your breath to cool your porridge’; and I shall keep + mine to swell my song.” + + Her performance was pleasing, though by no means capital. After a + song or two, and before she could reply to the entreaties of + several that she would sing again, she was eagerly succeeded at + the instrument by her sister Mary, who having, in consequence of + being the only plain one in the family, worked hard for knowledge + and accomplishments, was always impatient for display. + + Mary had neither genius nor taste; and though vanity had given + her application, it had given her likewise a pedantic air and + conceited manner, which would have injured a higher degree of + excellence than she had reached. Elizabeth, easy and unaffected, + had been listened to with much more pleasure, though not playing + half so well; and Mary, at the end of a long concerto, was glad + to purchase praise and gratitude by Scotch and Irish airs, at the + request of her younger sisters, who, with some of the Lucases, + and two or three officers, joined eagerly in dancing at one end + of the room. + + Mr. Darcy stood near them in silent indignation at such a mode of + passing the evening, to the exclusion of all conversation, and + was too much engrossed by his thoughts to perceive that Sir + William Lucas was his neighbour, till Sir William thus began: + + “What a charming amusement for young people this is, Mr. Darcy! + There is nothing like dancing after all. I consider it as one of + the first refinements of polished society.” + + “Certainly, sir; and it has the advantage also of being in vogue + amongst the less polished societies of the world. Every savage + can dance.” + + Sir William only smiled. “Your friend performs delightfully,” he + continued after a pause, on seeing Bingley join the group; “and I + doubt not that you are an adept in the science yourself, Mr. + Darcy.” + + “You saw me dance at Meryton, I believe, sir.” + + “Yes, indeed, and received no inconsiderable pleasure from the + sight. Do you often dance at St. James’s?” + + “Never, sir.” + + “Do you not think it would be a proper compliment to the place?” + + “It is a compliment which I never pay to any place if I can avoid + it.” + + “You have a house in town, I conclude?” + + Mr. Darcy bowed. + + “I had once had some thought of fixing in town myself—for I am + fond of superior society; but I did not feel quite certain that + the air of London would agree with Lady Lucas.” + + He paused in hopes of an answer; but his companion was not + disposed to make any; and Elizabeth at that instant moving + towards them, he was struck with the action of doing a very + gallant thing, and called out to her: + + “My dear Miss Eliza, why are you not dancing? Mr. Darcy, you must + allow me to present this young lady to you as a very desirable + partner. You cannot refuse to dance, I am sure when so much + beauty is before you.” And, taking her hand, he would have given + it to Mr. Darcy who, though extremely surprised, was not + unwilling to receive it, when she instantly drew back, and said + with some discomposure to Sir William: + + “Indeed, sir, I have not the least intention of dancing. I + entreat you not to suppose that I moved this way in order to beg + for a partner.” + + Mr. Darcy, with grave propriety, requested to be allowed the + honour of her hand, but in vain. Elizabeth was determined; nor + did Sir William at all shake her purpose by his attempt at + persuasion. + + “You excel so much in the dance, Miss Eliza, that it is cruel to + deny me the happiness of seeing you; and though this gentleman + dislikes the amusement in general, he can have no objection, I am + sure, to oblige us for one half-hour.” + + “Mr. Darcy is all politeness,” said Elizabeth, smiling. + + “He is, indeed; but, considering the inducement, my dear Miss + Eliza, we cannot wonder at his complaisance—for who would object + to such a partner?” + + Elizabeth looked archly, and turned away. Her resistance had not + injured her with the gentleman, and he was thinking of her with + some complacency, when thus accosted by Miss Bingley: + + “I can guess the subject of your reverie.” + + “I should imagine not.” + + “You are considering how insupportable it would be to pass many + evenings in this manner—in such society; and indeed I am quite of + your opinion. I was never more annoyed! The insipidity, and yet + the noise—the nothingness, and yet the self-importance of all + those people! What would I give to hear your strictures on them!” + + “Your conjecture is totally wrong, I assure you. My mind was more + agreeably engaged. I have been meditating on the very great + pleasure which a pair of fine eyes in the face of a pretty woman + can bestow.” + + Miss Bingley immediately fixed her eyes on his face, and desired + he would tell her what lady had the credit of inspiring such + reflections. Mr. Darcy replied with great intrepidity: + + “Miss Elizabeth Bennet.” + + “Miss Elizabeth Bennet!” repeated Miss Bingley. “I am all + astonishment. How long has she been such a favourite?—and pray, + when am I to wish you joy?” + + “That is exactly the question which I expected you to ask. A + lady’s imagination is very rapid; it jumps from admiration to + love, from love to matrimony, in a moment. I knew you would be + wishing me joy.” + + “Nay, if you are serious about it, I shall consider the matter is + absolutely settled. You will be having a charming mother-in-law, + indeed; and, of course, she will always be at Pemberley with + you.” + + He listened to her with perfect indifference while she chose to + entertain herself in this manner; and as his composure convinced + her that all was safe, her wit flowed long. + + + + + Chapter 7 + + Mr. Bennet’s property consisted almost entirely in an estate of + two thousand a year, which, unfortunately for his daughters, was + entailed, in default of heirs male, on a distant relation; and + their mother’s fortune, though ample for her situation in life, + could but ill supply the deficiency of his. Her father had been + an attorney in Meryton, and had left her four thousand pounds. + + She had a sister married to a Mr. Phillips, who had been a clerk + to their father and succeeded him in the business, and a brother + settled in London in a respectable line of trade. + + The village of Longbourn was only one mile from Meryton; a most + convenient distance for the young ladies, who were usually + tempted thither three or four times a week, to pay their duty to + their aunt and to a milliner’s shop just over the way. The two + youngest of the family, Catherine and Lydia, were particularly + frequent in these attentions; their minds were more vacant than + their sisters’, and when nothing better offered, a walk to + Meryton was necessary to amuse their morning hours and furnish + conversation for the evening; and however bare of news the + country in general might be, they always contrived to learn some + from their aunt. At present, indeed, they were well supplied both + with news and happiness by the recent arrival of a militia + regiment in the neighbourhood; it was to remain the whole winter, + and Meryton was the headquarters. + + Their visits to Mrs. Phillips were now productive of the most + interesting intelligence. Every day added something to their + knowledge of the officers’ names and connections. Their lodgings + were not long a secret, and at length they began to know the + officers themselves. Mr. Phillips visited them all, and this + opened to his nieces a store of felicity unknown before. They + could talk of nothing but officers; and Mr. Bingley’s large + fortune, the mention of which gave animation to their mother, was + worthless in their eyes when opposed to the regimentals of an + ensign. + + After listening one morning to their effusions on this subject, + Mr. Bennet coolly observed: + + “From all that I can collect by your manner of talking, you must + be two of the silliest girls in the country. I have suspected it + some time, but I am now convinced.” + + Catherine was disconcerted, and made no answer; but Lydia, with + perfect indifference, continued to express her admiration of + Captain Carter, and her hope of seeing him in the course of the + day, as he was going the next morning to London. + + “I am astonished, my dear,” said Mrs. Bennet, “that you should be + so ready to think your own children silly. If I wished to think + slightingly of anybody’s children, it should not be of my own, + however.” + + “If my children are silly, I must hope to be always sensible of + it.” + + “Yes—but as it happens, they are all of them very clever.” + + “This is the only point, I flatter myself, on which we do not + agree. I had hoped that our sentiments coincided in every + particular, but I must so far differ from you as to think our two + youngest daughters uncommonly foolish.” + + “My dear Mr. Bennet, you must not expect such girls to have the + sense of their father and mother. When they get to our age, I + dare say they will not think about officers any more than we do. + I remember the time when I liked a red coat myself very well—and, + indeed, so I do still at my heart; and if a smart young colonel, + with five or six thousand a year, should want one of my girls I + shall not say nay to him; and I thought Colonel Forster looked + very becoming the other night at Sir William’s in his + regimentals.” + + “Mamma,” cried Lydia, “my aunt says that Colonel Forster and + Captain Carter do not go so often to Miss Watson’s as they did + when they first came; she sees them now very often standing in + Clarke’s library.” + + Mrs. Bennet was prevented replying by the entrance of the footman + with a note for Miss Bennet; it came from Netherfield, and the + servant waited for an answer. Mrs. Bennet’s eyes sparkled with + pleasure, and she was eagerly calling out, while her daughter + read, + + “Well, Jane, who is it from? What is it about? What does he say? + Well, Jane, make haste and tell us; make haste, my love.” + + “It is from Miss Bingley,” said Jane, and then read it aloud. + + “MY DEAR FRIEND,— + “If you are not so compassionate as to dine to-day with Louisa + and me, we shall be in danger of hating each other for the rest + of our lives, for a whole day’s _tête-à-tête_ between two women + can never end without a quarrel. Come as soon as you can on + receipt of this. My brother and the gentlemen are to dine with + the officers.—Yours ever, + + “CAROLINE BINGLEY” + + “With the officers!” cried Lydia. “I wonder my aunt did not tell + us of _that_.” + + “Dining out,” said Mrs. Bennet, “that is very unlucky.” + + “Can I have the carriage?” said Jane. + + “No, my dear, you had better go on horseback, because it seems + likely to rain; and then you must stay all night.” + + “That would be a good scheme,” said Elizabeth, “if you were sure + that they would not offer to send her home.” + + “Oh! but the gentlemen will have Mr. Bingley’s chaise to go to + Meryton, and the Hursts have no horses to theirs.” + + “I had much rather go in the coach.” + + “But, my dear, your father cannot spare the horses, I am sure. + They are wanted in the farm, Mr. Bennet, are they not?” + + “They are wanted in the farm much oftener than I can get them.” + + “But if you have got them to-day,” said Elizabeth, “my mother’s + purpose will be answered.” + + She did at last extort from her father an acknowledgment that the + horses were engaged. Jane was therefore obliged to go on + horseback, and her mother attended her to the door with many + cheerful prognostics of a bad day. Her hopes were answered; Jane + had not been gone long before it rained hard. Her sisters were + uneasy for her, but her mother was delighted. The rain continued + the whole evening without intermission; Jane certainly could not + come back. + + “This was a lucky idea of mine, indeed!” said Mrs. Bennet more + than once, as if the credit of making it rain were all her own. + Till the next morning, however, she was not aware of all the + felicity of her contrivance. Breakfast was scarcely over when a + servant from Netherfield brought the following note for + Elizabeth: + + “MY DEAREST LIZZY,— + “I find myself very unwell this morning, which, I suppose, is to + be imputed to my getting wet through yesterday. My kind friends + will not hear of my returning till I am better. They insist also + on my seeing Mr. Jones—therefore do not be alarmed if you should + hear of his having been to me—and, excepting a sore throat and + headache, there is not much the matter with me.—Yours, etc.” + + “Well, my dear,” said Mr. Bennet, when Elizabeth had read the + note aloud, “if your daughter should have a dangerous fit of + illness—if she should die, it would be a comfort to know that it + was all in pursuit of Mr. Bingley, and under your orders.” + + “Oh! I am not afraid of her dying. People do not die of little + trifling colds. She will be taken good care of. As long as she + stays there, it is all very well. I would go and see her if I + could have the carriage.” + + Elizabeth, feeling really anxious, was determined to go to her, + though the carriage was not to be had; and as she was no + horsewoman, walking was her only alternative. She declared her + resolution. + + “How can you be so silly,” cried her mother, “as to think of such + a thing, in all this dirt! You will not be fit to be seen when + you get there.” + + “I shall be very fit to see Jane—which is all I want.” + + “Is this a hint to me, Lizzy,” said her father, “to send for the + horses?” + + “No, indeed, I do not wish to avoid the walk. The distance is + nothing when one has a motive; only three miles. I shall be back + by dinner.” + + “I admire the activity of your benevolence,” observed Mary, “but + every impulse of feeling should be guided by reason; and, in my + opinion, exertion should always be in proportion to what is + required.” + + “We will go as far as Meryton with you,” said Catherine and + Lydia. Elizabeth accepted their company, and the three young + ladies set off together. + + “If we make haste,” said Lydia, as they walked along, “perhaps we + may see something of Captain Carter before he goes.” + + In Meryton they parted; the two youngest repaired to the lodgings + of one of the officers’ wives, and Elizabeth continued her walk + alone, crossing field after field at a quick pace, jumping over + stiles and springing over puddles with impatient activity, and + finding herself at last within view of the house, with weary + ankles, dirty stockings, and a face glowing with the warmth of + exercise. + + She was shown into the breakfast-parlour, where all but Jane were + assembled, and where her appearance created a great deal of + surprise. That she should have walked three miles so early in the + day, in such dirty weather, and by herself, was almost incredible + to Mrs. Hurst and Miss Bingley; and Elizabeth was convinced that + they held her in contempt for it. She was received, however, very + politely by them; and in their brother’s manners there was + something better than politeness; there was good humour and + kindness. Mr. Darcy said very little, and Mr. Hurst nothing at + all. The former was divided between admiration of the brilliancy + which exercise had given to her complexion, and doubt as to the + occasion’s justifying her coming so far alone. The latter was + thinking only of his breakfast. + + Her inquiries after her sister were not very favourably answered. + Miss Bennet had slept ill, and though up, was very feverish, and + not well enough to leave her room. Elizabeth was glad to be taken + to her immediately; and Jane, who had only been withheld by the + fear of giving alarm or inconvenience from expressing in her note + how much she longed for such a visit, was delighted at her + entrance. She was not equal, however, to much conversation, and + when Miss Bingley left them together, could attempt little + besides expressions of gratitude for the extraordinary kindness + she was treated with. Elizabeth silently attended her. + + When breakfast was over they were joined by the sisters; and + Elizabeth began to like them herself, when she saw how much + affection and solicitude they showed for Jane. The apothecary + came, and having examined his patient, said, as might be + supposed, that she had caught a violent cold, and that they must + endeavour to get the better of it; advised her to return to bed, + and promised her some draughts. The advice was followed readily, + for the feverish symptoms increased, and her head ached acutely. + Elizabeth did not quit her room for a moment; nor were the other + ladies often absent; the gentlemen being out, they had, in fact, + nothing to do elsewhere. + + When the clock struck three, Elizabeth felt that she must go, and + very unwillingly said so. Miss Bingley offered her the carriage, + and she only wanted a little pressing to accept it, when Jane + testified such concern in parting with her, that Miss Bingley was + obliged to convert the offer of the chaise to an invitation to + remain at Netherfield for the present. Elizabeth most thankfully + consented, and a servant was dispatched to Longbourn to acquaint + the family with her stay and bring back a supply of clothes. + + + + + Chapter 8 + + At five o’clock the two ladies retired to dress, and at half-past + six Elizabeth was summoned to dinner. To the civil inquiries + which then poured in, and amongst which she had the pleasure of + distinguishing the much superior solicitude of Mr. Bingley’s, she + could not make a very favourable answer. Jane was by no means + better. The sisters, on hearing this, repeated three or four + times how much they were grieved, how shocking it was to have a + bad cold, and how excessively they disliked being ill themselves; + and then thought no more of the matter: and their indifference + towards Jane when not immediately before them restored Elizabeth + to the enjoyment of all her former dislike. + + Their brother, indeed, was the only one of the party whom she + could regard with any complacency. His anxiety for Jane was + evident, and his attentions to herself most pleasing, and they + prevented her feeling herself so much an intruder as she believed + she was considered by the others. She had very little notice from + any but him. Miss Bingley was engrossed by Mr. Darcy, her sister + scarcely less so; and as for Mr. Hurst, by whom Elizabeth sat, he + was an indolent man, who lived only to eat, drink, and play at + cards; who, when he found her to prefer a plain dish to a ragout, + had nothing to say to her. + + When dinner was over, she returned directly to Jane, and Miss + Bingley began abusing her as soon as she was out of the room. Her + manners were pronounced to be very bad indeed, a mixture of pride + and impertinence; she had no conversation, no style, no beauty. + Mrs. Hurst thought the same, and added: + + “She has nothing, in short, to recommend her, but being an + excellent walker. I shall never forget her appearance this + morning. She really looked almost wild.” + + “She did, indeed, Louisa. I could hardly keep my countenance. + Very nonsensical to come at all! Why must _she_ be scampering + about the country, because her sister had a cold? Her hair, so + untidy, so blowsy!” + + “Yes, and her petticoat; I hope you saw her petticoat, six inches + deep in mud, I am absolutely certain; and the gown which had been + let down to hide it not doing its office.” + + “Your picture may be very exact, Louisa,” said Bingley; “but this + was all lost upon me. I thought Miss Elizabeth Bennet looked + remarkably well when she came into the room this morning. Her + dirty petticoat quite escaped my notice.” + + “_You_ observed it, Mr. Darcy, I am sure,” said Miss Bingley; + “and I am inclined to think that you would not wish to see _your + sister_ make such an exhibition.” + + “Certainly not.” + + “To walk three miles, or four miles, or five miles, or whatever + it is, above her ankles in dirt, and alone, quite alone! What + could she mean by it? It seems to me to show an abominable sort + of conceited independence, a most country-town indifference to + decorum.” + + “It shows an affection for her sister that is very pleasing,” + said Bingley. + + “I am afraid, Mr. Darcy,” observed Miss Bingley in a half + whisper, “that this adventure has rather affected your admiration + of her fine eyes.” + + “Not at all,” he replied; “they were brightened by the exercise.” + A short pause followed this speech, and Mrs. Hurst began again: + + “I have an excessive regard for Miss Jane Bennet, she is really a + very sweet girl, and I wish with all my heart she were well + settled. But with such a father and mother, and such low + connections, I am afraid there is no chance of it.” + + “I think I have heard you say that their uncle is an attorney in + Meryton.” + + “Yes; and they have another, who lives somewhere near Cheapside.” + + “That is capital,” added her sister, and they both laughed + heartily. + + “If they had uncles enough to fill _all_ Cheapside,” cried + Bingley, “it would not make them one jot less agreeable.” + + “But it must very materially lessen their chance of marrying men + of any consideration in the world,” replied Darcy. + + To this speech Bingley made no answer; but his sisters gave it + their hearty assent, and indulged their mirth for some time at + the expense of their dear friend’s vulgar relations. + + With a renewal of tenderness, however, they returned to her room + on leaving the dining-parlour, and sat with her till summoned to + coffee. She was still very poorly, and Elizabeth would not quit + her at all, till late in the evening, when she had the comfort of + seeing her sleep, and when it seemed to her rather right than + pleasant that she should go downstairs herself. On entering the + drawing-room she found the whole party at loo, and was + immediately invited to join them; but suspecting them to be + playing high she declined it, and making her sister the excuse, + said she would amuse herself for the short time she could stay + below, with a book. Mr. Hurst looked at her with astonishment. + + “Do you prefer reading to cards?” said he; “that is rather + singular.” + + “Miss Eliza Bennet,” said Miss Bingley, “despises cards. She is a + great reader, and has no pleasure in anything else.” + + “I deserve neither such praise nor such censure,” cried + Elizabeth; “I am _not_ a great reader, and I have pleasure in + many things.” + + “In nursing your sister I am sure you have pleasure,” said + Bingley; “and I hope it will be soon increased by seeing her + quite well.” + + Elizabeth thanked him from her heart, and then walked towards the + table where a few books were lying. He immediately offered to + fetch her others—all that his library afforded. + + “And I wish my collection were larger for your benefit and my own + credit; but I am an idle fellow, and though I have not many, I + have more than I ever looked into.” + + Elizabeth assured him that she could suit herself perfectly with + those in the room. + + “I am astonished,” said Miss Bingley, “that my father should have + left so small a collection of books. What a delightful library + you have at Pemberley, Mr. Darcy!” + + “It ought to be good,” he replied, “it has been the work of many + generations.” + + “And then you have added so much to it yourself, you are always + buying books.” + + “I cannot comprehend the neglect of a family library in such days + as these.” + + “Neglect! I am sure you neglect nothing that can add to the + beauties of that noble place. Charles, when you build _your_ + house, I wish it may be half as delightful as Pemberley.” + + “I wish it may.” + + “But I would really advise you to make your purchase in that + neighbourhood, and take Pemberley for a kind of model. There is + not a finer county in England than Derbyshire.” + + “With all my heart; I will buy Pemberley itself if Darcy will + sell it.” + + “I am talking of possibilities, Charles.” + + “Upon my word, Caroline, I should think it more possible to get + Pemberley by purchase than by imitation.” + + Elizabeth was so much caught with what passed, as to leave her + very little attention for her book; and soon laying it wholly + aside, she drew near the card-table, and stationed herself + between Mr. Bingley and his eldest sister, to observe the game. + + “Is Miss Darcy much grown since the spring?” said Miss Bingley; + “will she be as tall as I am?” + + “I think she will. She is now about Miss Elizabeth Bennet’s + height, or rather taller.” + + “How I long to see her again! I never met with anybody who + delighted me so much. Such a countenance, such manners! And so + extremely accomplished for her age! Her performance on the + pianoforte is exquisite.” + + “It is amazing to me,” said Bingley, “how young ladies can have + patience to be so very accomplished as they all are.” + + “All young ladies accomplished! My dear Charles, what do you + mean?” + + “Yes, all of them, I think. They all paint tables, cover screens, + and net purses. I scarcely know anyone who cannot do all this, + and I am sure I never heard a young lady spoken of for the first + time, without being informed that she was very accomplished.” + + “Your list of the common extent of accomplishments,” said Darcy, + “has too much truth. The word is applied to many a woman who + deserves it no otherwise than by netting a purse or covering a + screen. But I am very far from agreeing with you in your + estimation of ladies in general. I cannot boast of knowing more + than half-a-dozen, in the whole range of my acquaintance, that + are really accomplished.” + + “Nor I, I am sure,” said Miss Bingley. + + “Then,” observed Elizabeth, “you must comprehend a great deal in + your idea of an accomplished woman.” + + “Yes, I do comprehend a great deal in it.” + + “Oh! certainly,” cried his faithful assistant, “no one can be + really esteemed accomplished who does not greatly surpass what is + usually met with. A woman must have a thorough knowledge of + music, singing, drawing, dancing, and the modern languages, to + deserve the word; and besides all this, she must possess a + certain something in her air and manner of walking, the tone of + her voice, her address and expressions, or the word will be but + half-deserved.” + + “All this she must possess,” added Darcy, “and to all this she + must yet add something more substantial, in the improvement of + her mind by extensive reading.” + + “I am no longer surprised at your knowing _only_ six accomplished + women. I rather wonder now at your knowing _any_.” + + “Are you so severe upon your own sex as to doubt the possibility + of all this?” + + “_I_ never saw such a woman. _I_ never saw such capacity, and + taste, and application, and elegance, as you describe united.” + + Mrs. Hurst and Miss Bingley both cried out against the injustice + of her implied doubt, and were both protesting that they knew + many women who answered this description, when Mr. Hurst called + them to order, with bitter complaints of their inattention to + what was going forward. As all conversation was thereby at an + end, Elizabeth soon afterwards left the room. + + “Elizabeth Bennet,” said Miss Bingley, when the door was closed + on her, “is one of those young ladies who seek to recommend + themselves to the other sex by undervaluing their own; and with + many men, I dare say, it succeeds. But, in my opinion, it is a + paltry device, a very mean art.” + + “Undoubtedly,” replied Darcy, to whom this remark was chiefly + addressed, “there is a meanness in _all_ the arts which ladies + sometimes condescend to employ for captivation. Whatever bears + affinity to cunning is despicable.” + + Miss Bingley was not so entirely satisfied with this reply as to + continue the subject. + + Elizabeth joined them again only to say that her sister was + worse, and that she could not leave her. Bingley urged Mr. Jones + being sent for immediately; while his sisters, convinced that no + country advice could be of any service, recommended an express to + town for one of the most eminent physicians. This she would not + hear of; but she was not so unwilling to comply with their + brother’s proposal; and it was settled that Mr. Jones should be + sent for early in the morning, if Miss Bennet were not decidedly + better. Bingley was quite uncomfortable; his sisters declared + that they were miserable. They solaced their wretchedness, + however, by duets after supper, while he could find no better + relief to his feelings than by giving his housekeeper directions + that every attention might be paid to the sick lady and her + sister. + + + + + Chapter 9 + + Elizabeth passed the chief of the night in her sister’s room, and + in the morning had the pleasure of being able to send a tolerable + answer to the inquiries which she very early received from Mr. + Bingley by a housemaid, and some time afterwards from the two + elegant ladies who waited on his sisters. In spite of this + amendment, however, she requested to have a note sent to + Longbourn, desiring her mother to visit Jane, and form her own + judgement of her situation. The note was immediately dispatched, + and its contents as quickly complied with. Mrs. Bennet, + accompanied by her two youngest girls, reached Netherfield soon + after the family breakfast. + + Had she found Jane in any apparent danger, Mrs. Bennet would have + been very miserable; but being satisfied on seeing her that her + illness was not alarming, she had no wish of her recovering + immediately, as her restoration to health would probably remove + her from Netherfield. She would not listen, therefore, to her + daughter’s proposal of being carried home; neither did the + apothecary, who arrived about the same time, think it at all + advisable. After sitting a little while with Jane, on Miss + Bingley’s appearance and invitation, the mother and three + daughters all attended her into the breakfast parlour. Bingley + met them with hopes that Mrs. Bennet had not found Miss Bennet + worse than she expected. + + “Indeed I have, sir,” was her answer. “She is a great deal too + ill to be moved. Mr. Jones says we must not think of moving her. + We must trespass a little longer on your kindness.” + + “Removed!” cried Bingley. “It must not be thought of. My sister, + I am sure, will not hear of her removal.” + + “You may depend upon it, Madam,” said Miss Bingley, with cold + civility, “that Miss Bennet will receive every possible attention + while she remains with us.” + + Mrs. Bennet was profuse in her acknowledgments. + + “I am sure,” she added, “if it was not for such good friends I do + not know what would become of her, for she is very ill indeed, + and suffers a vast deal, though with the greatest patience in the + world, which is always the way with her, for she has, without + exception, the sweetest temper I have ever met with. I often tell + my other girls they are nothing to _her_. You have a sweet room + here, Mr. Bingley, and a charming prospect over the gravel walk. + I do not know a place in the country that is equal to + Netherfield. You will not think of quitting it in a hurry, I + hope, though you have but a short lease.” + + “Whatever I do is done in a hurry,” replied he; “and therefore if + I should resolve to quit Netherfield, I should probably be off in + five minutes. At present, however, I consider myself as quite + fixed here.” + + “That is exactly what I should have supposed of you,” said + Elizabeth. + + “You begin to comprehend me, do you?” cried he, turning towards + her. + + “Oh! yes—I understand you perfectly.” + + “I wish I might take this for a compliment; but to be so easily + seen through I am afraid is pitiful.” + + “That is as it happens. It does not follow that a deep, intricate + character is more or less estimable than such a one as yours.” + + “Lizzy,” cried her mother, “remember where you are, and do not + run on in the wild manner that you are suffered to do at home.” + + “I did not know before,” continued Bingley immediately, “that you + were a studier of character. It must be an amusing study.” + + “Yes, but intricate characters are the _most_ amusing. They have + at least that advantage.” + + “The country,” said Darcy, “can in general supply but a few + subjects for such a study. In a country neighbourhood you move in + a very confined and unvarying society.” + + “But people themselves alter so much, that there is something new + to be observed in them for ever.” + + “Yes, indeed,” cried Mrs. Bennet, offended by his manner of + mentioning a country neighbourhood. “I assure you there is quite + as much of _that_ going on in the country as in town.” + + Everybody was surprised, and Darcy, after looking at her for a + moment, turned silently away. Mrs. Bennet, who fancied she had + gained a complete victory over him, continued her triumph. + + “I cannot see that London has any great advantage over the + country, for my part, except the shops and public places. The + country is a vast deal pleasanter, is it not, Mr. Bingley?” + + “When I am in the country,” he replied, “I never wish to leave + it; and when I am in town it is pretty much the same. They have + each their advantages, and I can be equally happy in either.” + + “Aye—that is because you have the right disposition. But that + gentleman,” looking at Darcy, “seemed to think the country was + nothing at all.” + + “Indeed, Mamma, you are mistaken,” said Elizabeth, blushing for + her mother. “You quite mistook Mr. Darcy. He only meant that + there was not such a variety of people to be met with in the + country as in the town, which you must acknowledge to be true.” + + “Certainly, my dear, nobody said there were; but as to not + meeting with many people in this neighbourhood, I believe there + are few neighbourhoods larger. I know we dine with + four-and-twenty families.” + + Nothing but concern for Elizabeth could enable Bingley to keep + his countenance. His sister was less delicate, and directed her + eyes towards Mr. Darcy with a very expressive smile. Elizabeth, + for the sake of saying something that might turn her mother’s + thoughts, now asked her if Charlotte Lucas had been at Longbourn + since _her_ coming away. + + “Yes, she called yesterday with her father. What an agreeable man + Sir William is, Mr. Bingley, is not he? So much the man of + fashion! So genteel and easy! He has always something to say to + everybody. _That_ is my idea of good breeding; and those persons + who fancy themselves very important, and never open their mouths, + quite mistake the matter.” + + “Did Charlotte dine with you?” + + “No, she would go home. I fancy she was wanted about the + mince-pies. For my part, Mr. Bingley, _I_ always keep servants + that can do their own work; _my_ daughters are brought up very + differently. But everybody is to judge for themselves, and the + Lucases are a very good sort of girls, I assure you. It is a pity + they are not handsome! Not that _I_ think Charlotte so _very_ + plain—but then she is our particular friend.” + + “She seems a very pleasant young woman.” + + “Oh! dear, yes; but you must own she is very plain. Lady Lucas + herself has often said so, and envied me Jane’s beauty. I do not + like to boast of my own child, but to be sure, Jane—one does not + often see anybody better looking. It is what everybody says. I do + not trust my own partiality. When she was only fifteen, there was + a man at my brother Gardiner’s in town so much in love with her + that my sister-in-law was sure he would make her an offer before + we came away. But, however, he did not. Perhaps he thought her + too young. However, he wrote some verses on her, and very pretty + they were.” + + “And so ended his affection,” said Elizabeth impatiently. “There + has been many a one, I fancy, overcome in the same way. I wonder + who first discovered the efficacy of poetry in driving away + love!” + + “I have been used to consider poetry as the _food_ of love,” said + Darcy. + + “Of a fine, stout, healthy love it may. Everything nourishes what + is strong already. But if it be only a slight, thin sort of + inclination, I am convinced that one good sonnet will starve it + entirely away.” + + Darcy only smiled; and the general pause which ensued made + Elizabeth tremble lest her mother should be exposing herself + again. She longed to speak, but could think of nothing to say; + and after a short silence Mrs. Bennet began repeating her thanks + to Mr. Bingley for his kindness to Jane, with an apology for + troubling him also with Lizzy. Mr. Bingley was unaffectedly civil + in his answer, and forced his younger sister to be civil also, + and say what the occasion required. She performed her part indeed + without much graciousness, but Mrs. Bennet was satisfied, and + soon afterwards ordered her carriage. Upon this signal, the + youngest of her daughters put herself forward. The two girls had + been whispering to each other during the whole visit, and the + result of it was, that the youngest should tax Mr. Bingley with + having promised on his first coming into the country to give a + ball at Netherfield. + + Lydia was a stout, well-grown girl of fifteen, with a fine + complexion and good-humoured countenance; a favourite with her + mother, whose affection had brought her into public at an early + age. She had high animal spirits, and a sort of natural + self-consequence, which the attention of the officers, to whom + her uncle’s good dinners, and her own easy manners recommended + her, had increased into assurance. She was very equal, therefore, + to address Mr. Bingley on the subject of the ball, and abruptly + reminded him of his promise; adding, that it would be the most + shameful thing in the world if he did not keep it. His answer to + this sudden attack was delightful to their mother’s ear: + + “I am perfectly ready, I assure you, to keep my engagement; and + when your sister is recovered, you shall, if you please, name the + very day of the ball. But you would not wish to be dancing when + she is ill.” + + Lydia declared herself satisfied. “Oh! yes—it would be much + better to wait till Jane was well, and by that time most likely + Captain Carter would be at Meryton again. And when you have given + _your_ ball,” she added, “I shall insist on their giving one + also. I shall tell Colonel Forster it will be quite a shame if he + does not.” + + Mrs. Bennet and her daughters then departed, and Elizabeth + returned instantly to Jane, leaving her own and her relations’ + behaviour to the remarks of the two ladies and Mr. Darcy; the + latter of whom, however, could not be prevailed on to join in + their censure of _her_, in spite of all Miss Bingley’s witticisms + on _fine eyes_. + + + + + Chapter 10 + + The day passed much as the day before had done. Mrs. Hurst and + Miss Bingley had spent some hours of the morning with the + invalid, who continued, though slowly, to mend; and in the + evening Elizabeth joined their party in the drawing-room. The + loo-table, however, did not appear. Mr. Darcy was writing, and + Miss Bingley, seated near him, was watching the progress of his + letter and repeatedly calling off his attention by messages to + his sister. Mr. Hurst and Mr. Bingley were at piquet, and Mrs. + Hurst was observing their game. + + Elizabeth took up some needlework, and was sufficiently amused in + attending to what passed between Darcy and his companion. The + perpetual commendations of the lady, either on his handwriting, + or on the evenness of his lines, or on the length of his letter, + with the perfect unconcern with which her praises were received, + formed a curious dialogue, and was exactly in union with her + opinion of each. + + “How delighted Miss Darcy will be to receive such a letter!” + + He made no answer. + + “You write uncommonly fast.” + + “You are mistaken. I write rather slowly.” + + “How many letters you must have occasion to write in the course + of a year! Letters of business, too! How odious I should think + them!” + + “It is fortunate, then, that they fall to my lot instead of + yours.” + + “Pray tell your sister that I long to see her.” + + “I have already told her so once, by your desire.” + + “I am afraid you do not like your pen. Let me mend it for you. I + mend pens remarkably well.” + + “Thank you—but I always mend my own.” + + “How can you contrive to write so even?” + + He was silent. + + “Tell your sister I am delighted to hear of her improvement on + the harp; and pray let her know that I am quite in raptures with + her beautiful little design for a table, and I think it + infinitely superior to Miss Grantley’s.” + + “Will you give me leave to defer your raptures till I write + again? At present I have not room to do them justice.” + + “Oh! it is of no consequence. I shall see her in January. But do + you always write such charming long letters to her, Mr. Darcy?” + + “They are generally long; but whether always charming it is not + for me to determine.” + + “It is a rule with me, that a person who can write a long letter + with ease, cannot write ill.” + + “That will not do for a compliment to Darcy, Caroline,” cried her + brother, “because he does _not_ write with ease. He studies too + much for words of four syllables. Do not you, Darcy?” + + “My style of writing is very different from yours.” + + “Oh!” cried Miss Bingley, “Charles writes in the most careless + way imaginable. He leaves out half his words, and blots the + rest.” + + “My ideas flow so rapidly that I have not time to express them—by + which means my letters sometimes convey no ideas at all to my + correspondents.” + + “Your humility, Mr. Bingley,” said Elizabeth, “must disarm + reproof.” + + “Nothing is more deceitful,” said Darcy, “than the appearance of + humility. It is often only carelessness of opinion, and sometimes + an indirect boast.” + + “And which of the two do you call _my_ little recent piece of + modesty?” + + “The indirect boast; for you are really proud of your defects in + writing, because you consider them as proceeding from a rapidity + of thought and carelessness of execution, which, if not + estimable, you think at least highly interesting. The power of + doing anything with quickness is always prized much by the + possessor, and often without any attention to the imperfection of + the performance. When you told Mrs. Bennet this morning that if + you ever resolved upon quitting Netherfield you should be gone in + five minutes, you meant it to be a sort of panegyric, of + compliment to yourself—and yet what is there so very laudable in + a precipitance which must leave very necessary business undone, + and can be of no real advantage to yourself or anyone else?” + + “Nay,” cried Bingley, “this is too much, to remember at night all + the foolish things that were said in the morning. And yet, upon + my honour, I believe what I said of myself to be true, and I + believe it at this moment. At least, therefore, I did not assume + the character of needless precipitance merely to show off before + the ladies.” + + “I dare say you believed it; but I am by no means convinced that + you would be gone with such celerity. Your conduct would be quite + as dependent on chance as that of any man I know; and if, as you + were mounting your horse, a friend were to say, ‘Bingley, you had + better stay till next week,’ you would probably do it, you would + probably not go—and at another word, might stay a month.” + + “You have only proved by this,” cried Elizabeth, “that Mr. + Bingley did not do justice to his own disposition. You have shown + him off now much more than he did himself.” + + “I am exceedingly gratified,” said Bingley, “by your converting + what my friend says into a compliment on the sweetness of my + temper. But I am afraid you are giving it a turn which that + gentleman did by no means intend; for he would certainly think + better of me, if under such a circumstance I were to give a flat + denial, and ride off as fast as I could.” + + “Would Mr. Darcy then consider the rashness of your original + intentions as atoned for by your obstinacy in adhering to it?” + + “Upon my word, I cannot exactly explain the matter; Darcy must + speak for himself.” + + “You expect me to account for opinions which you choose to call + mine, but which I have never acknowledged. Allowing the case, + however, to stand according to your representation, you must + remember, Miss Bennet, that the friend who is supposed to desire + his return to the house, and the delay of his plan, has merely + desired it, asked it without offering one argument in favour of + its propriety.” + + “To yield readily—easily—to the _persuasion_ of a friend is no + merit with you.” + + “To yield without conviction is no compliment to the + understanding of either.” + + “You appear to me, Mr. Darcy, to allow nothing for the influence + of friendship and affection. A regard for the requester would + often make one readily yield to a request, without waiting for + arguments to reason one into it. I am not particularly speaking + of such a case as you have supposed about Mr. Bingley. We may as + well wait, perhaps, till the circumstance occurs before we + discuss the discretion of his behaviour thereupon. But in general + and ordinary cases between friend and friend, where one of them + is desired by the other to change a resolution of no very great + moment, should you think ill of that person for complying with + the desire, without waiting to be argued into it?” + + “Will it not be advisable, before we proceed on this subject, to + arrange with rather more precision the degree of importance which + is to appertain to this request, as well as the degree of + intimacy subsisting between the parties?” + + “By all means,” cried Bingley; “let us hear all the particulars, + not forgetting their comparative height and size; for that will + have more weight in the argument, Miss Bennet, than you may be + aware of. I assure you, that if Darcy were not such a great tall + fellow, in comparison with myself, I should not pay him half so + much deference. I declare I do not know a more awful object than + Darcy, on particular occasions, and in particular places; at his + own house especially, and of a Sunday evening, when he has + nothing to do.” + + Mr. Darcy smiled; but Elizabeth thought she could perceive that + he was rather offended, and therefore checked her laugh. Miss + Bingley warmly resented the indignity he had received, in an + expostulation with her brother for talking such nonsense. + + “I see your design, Bingley,” said his friend. “You dislike an + argument, and want to silence this.” + + “Perhaps I do. Arguments are too much like disputes. If you and + Miss Bennet will defer yours till I am out of the room, I shall + be very thankful; and then you may say whatever you like of me.” + + “What you ask,” said Elizabeth, “is no sacrifice on my side; and + Mr. Darcy had much better finish his letter.” + + Mr. Darcy took her advice, and did finish his letter. + + When that business was over, he applied to Miss Bingley and + Elizabeth for an indulgence of some music. Miss Bingley moved + with some alacrity to the pianoforte; and, after a polite request + that Elizabeth would lead the way which the other as politely and + more earnestly negatived, she seated herself. + + Mrs. Hurst sang with her sister, and while they were thus + employed, Elizabeth could not help observing, as she turned over + some music-books that lay on the instrument, how frequently Mr. + Darcy’s eyes were fixed on her. She hardly knew how to suppose + that she could be an object of admiration to so great a man; and + yet that he should look at her because he disliked her, was still + more strange. She could only imagine, however, at last that she + drew his notice because there was something more wrong and + reprehensible, according to his ideas of right, than in any other + person present. The supposition did not pain her. She liked him + too little to care for his approbation. + + After playing some Italian songs, Miss Bingley varied the charm + by a lively Scotch air; and soon afterwards Mr. Darcy, drawing + near Elizabeth, said to her: + + “Do not you feel a great inclination, Miss Bennet, to seize such + an opportunity of dancing a reel?” + + She smiled, but made no answer. He repeated the question, with + some surprise at her silence. + + “Oh!” said she, “I heard you before, but I could not immediately + determine what to say in reply. You wanted me, I know, to say + ‘Yes,’ that you might have the pleasure of despising my taste; + but I always delight in overthrowing those kind of schemes, and + cheating a person of their premeditated contempt. I have, + therefore, made up my mind to tell you, that I do not want to + dance a reel at all—and now despise me if you dare.” + + “Indeed I do not dare.” + + Elizabeth, having rather expected to affront him, was amazed at + his gallantry; but there was a mixture of sweetness and archness + in her manner which made it difficult for her to affront anybody; + and Darcy had never been so bewitched by any woman as he was by + her. He really believed, that were it not for the inferiority of + her connections, he should be in some danger. + + Miss Bingley saw, or suspected enough to be jealous; and her + great anxiety for the recovery of her dear friend Jane received + some assistance from her desire of getting rid of Elizabeth. + + She often tried to provoke Darcy into disliking her guest, by + talking of their supposed marriage, and planning his happiness in + such an alliance. + + “I hope,” said she, as they were walking together in the + shrubbery the next day, “you will give your mother-in-law a few + hints, when this desirable event takes place, as to the advantage + of holding her tongue; and if you can compass it, do cure the + younger girls of running after officers. And, if I may mention so + delicate a subject, endeavour to check that little something, + bordering on conceit and impertinence, which your lady + possesses.” + + “Have you anything else to propose for my domestic felicity?” + + “Oh! yes. Do let the portraits of your uncle and aunt Phillips be + placed in the gallery at Pemberley. Put them next to your + great-uncle the judge. They are in the same profession, you know, + only in different lines. As for your Elizabeth’s picture, you + must not have it taken, for what painter could do justice to + those beautiful eyes?” + + “It would not be easy, indeed, to catch their expression, but + their colour and shape, and the eyelashes, so remarkably fine, + might be copied.” + + At that moment they were met from another walk by Mrs. Hurst and + Elizabeth herself. + + “I did not know that you intended to walk,” said Miss Bingley, in + some confusion, lest they had been overheard. + + “You used us abominably ill,” answered Mrs. Hurst, “running away + without telling us that you were coming out.” + + Then taking the disengaged arm of Mr. Darcy, she left Elizabeth + to walk by herself. The path just admitted three. Mr. Darcy felt + their rudeness, and immediately said: + + “This walk is not wide enough for our party. We had better go + into the avenue.” + + But Elizabeth, who had not the least inclination to remain with + them, laughingly answered: + + “No, no; stay where you are. You are charmingly grouped, and + appear to uncommon advantage. The picturesque would be spoilt by + admitting a fourth. Good-bye.” + + She then ran gaily off, rejoicing as she rambled about, in the + hope of being at home again in a day or two. Jane was already so + much recovered as to intend leaving her room for a couple of + hours that evening. + + + + + Chapter 11 + + When the ladies removed after dinner, Elizabeth ran up to her + sister, and seeing her well guarded from cold, attended her into + the drawing-room, where she was welcomed by her two friends with + many professions of pleasure; and Elizabeth had never seen them + so agreeable as they were during the hour which passed before the + gentlemen appeared. Their powers of conversation were + considerable. They could describe an entertainment with accuracy, + relate an anecdote with humour, and laugh at their acquaintance + with spirit. + + But when the gentlemen entered, Jane was no longer the first + object; Miss Bingley’s eyes were instantly turned toward Darcy, + and she had something to say to him before he had advanced many + steps. He addressed himself to Miss Bennet, with a polite + congratulation; Mr. Hurst also made her a slight bow, and said he + was “very glad;” but diffuseness and warmth remained for + Bingley’s salutation. He was full of joy and attention. The first + half-hour was spent in piling up the fire, lest she should suffer + from the change of room; and she removed at his desire to the + other side of the fireplace, that she might be further from the + door. He then sat down by her, and talked scarcely to anyone + else. Elizabeth, at work in the opposite corner, saw it all with + great delight. + + When tea was over, Mr. Hurst reminded his sister-in-law of the + card-table—but in vain. She had obtained private intelligence + that Mr. Darcy did not wish for cards; and Mr. Hurst soon found + even his open petition rejected. She assured him that no one + intended to play, and the silence of the whole party on the + subject seemed to justify her. Mr. Hurst had therefore nothing to + do, but to stretch himself on one of the sofas and go to sleep. + Darcy took up a book; Miss Bingley did the same; and Mrs. Hurst, + principally occupied in playing with her bracelets and rings, + joined now and then in her brother’s conversation with Miss + Bennet. + + Miss Bingley’s attention was quite as much engaged in watching + Mr. Darcy’s progress through _his_ book, as in reading her own; + and she was perpetually either making some inquiry, or looking at + his page. She could not win him, however, to any conversation; he + merely answered her question, and read on. At length, quite + exhausted by the attempt to be amused with her own book, which + she had only chosen because it was the second volume of his, she + gave a great yawn and said, “How pleasant it is to spend an + evening in this way! I declare after all there is no enjoyment + like reading! How much sooner one tires of anything than of a + book! When I have a house of my own, I shall be miserable if I + have not an excellent library.” + + No one made any reply. She then yawned again, threw aside her + book, and cast her eyes round the room in quest for some + amusement; when hearing her brother mentioning a ball to Miss + Bennet, she turned suddenly towards him and said: + + “By the bye, Charles, are you really serious in meditating a + dance at Netherfield? I would advise you, before you determine on + it, to consult the wishes of the present party; I am much + mistaken if there are not some among us to whom a ball would be + rather a punishment than a pleasure.” + + “If you mean Darcy,” cried her brother, “he may go to bed, if he + chooses, before it begins—but as for the ball, it is quite a + settled thing; and as soon as Nicholls has made white soup + enough, I shall send round my cards.” + + “I should like balls infinitely better,” she replied, “if they + were carried on in a different manner; but there is something + insufferably tedious in the usual process of such a meeting. It + would surely be much more rational if conversation instead of + dancing were made the order of the day.” + + “Much more rational, my dear Caroline, I dare say, but it would + not be near so much like a ball.” + + Miss Bingley made no answer, and soon afterwards she got up and + walked about the room. Her figure was elegant, and she walked + well; but Darcy, at whom it was all aimed, was still inflexibly + studious. In the desperation of her feelings, she resolved on one + effort more, and, turning to Elizabeth, said: + + “Miss Eliza Bennet, let me persuade you to follow my example, and + take a turn about the room. I assure you it is very refreshing + after sitting so long in one attitude.” + + Elizabeth was surprised, but agreed to it immediately. Miss + Bingley succeeded no less in the real object of her civility; Mr. + Darcy looked up. He was as much awake to the novelty of attention + in that quarter as Elizabeth herself could be, and unconsciously + closed his book. He was directly invited to join their party, but + he declined it, observing that he could imagine but two motives + for their choosing to walk up and down the room together, with + either of which motives his joining them would interfere. “What + could he mean? She was dying to know what could be his + meaning?”—and asked Elizabeth whether she could at all understand + him? + + “Not at all,” was her answer; “but depend upon it, he means to be + severe on us, and our surest way of disappointing him will be to + ask nothing about it.” + + Miss Bingley, however, was incapable of disappointing Mr. Darcy + in anything, and persevered therefore in requiring an explanation + of his two motives. + + “I have not the smallest objection to explaining them,” said he, + as soon as she allowed him to speak. “You either choose this + method of passing the evening because you are in each other’s + confidence, and have secret affairs to discuss, or because you + are conscious that your figures appear to the greatest advantage + in walking; if the first, I would be completely in your way, and + if the second, I can admire you much better as I sit by the + fire.” + + “Oh! shocking!” cried Miss Bingley. “I never heard anything so + abominable. How shall we punish him for such a speech?” + + “Nothing so easy, if you have but the inclination,” said + Elizabeth. “We can all plague and punish one another. Tease + him—laugh at him. Intimate as you are, you must know how it is to + be done.” + + “But upon my honour, I do _not_. I do assure you that my intimacy + has not yet taught me _that_. Tease calmness of manner and + presence of mind! No, no; I feel he may defy us there. And as to + laughter, we will not expose ourselves, if you please, by + attempting to laugh without a subject. Mr. Darcy may hug + himself.” + + “Mr. Darcy is not to be laughed at!” cried Elizabeth. “That is an + uncommon advantage, and uncommon I hope it will continue, for it + would be a great loss to _me_ to have many such acquaintances. I + dearly love a laugh.” + + “Miss Bingley,” said he, “has given me more credit than can be. + The wisest and the best of men—nay, the wisest and best of their + actions—may be rendered ridiculous by a person whose first object + in life is a joke.” + + “Certainly,” replied Elizabeth—“there are such people, but I hope + I am not one of _them_. I hope I never ridicule what is wise and + good. Follies and nonsense, whims and inconsistencies, _do_ + divert me, I own, and I laugh at them whenever I can. But these, + I suppose, are precisely what you are without.” + + “Perhaps that is not possible for anyone. But it has been the + study of my life to avoid those weaknesses which often expose a + strong understanding to ridicule.” + + “Such as vanity and pride.” + + “Yes, vanity is a weakness indeed. But pride—where there is a + real superiority of mind, pride will be always under good + regulation.” + + Elizabeth turned away to hide a smile. + + “Your examination of Mr. Darcy is over, I presume,” said Miss + Bingley; “and pray what is the result?” + + “I am perfectly convinced by it that Mr. Darcy has no defect. He + owns it himself without disguise.” + + “No,” said Darcy, “I have made no such pretension. I have faults + enough, but they are not, I hope, of understanding. My temper I + dare not vouch for. It is, I believe, too little + yielding—certainly too little for the convenience of the world. I + cannot forget the follies and vices of others so soon as I ought, + nor their offenses against myself. My feelings are not puffed + about with every attempt to move them. My temper would perhaps be + called resentful. My good opinion once lost, is lost forever.” + + “_That_ is a failing indeed!” cried Elizabeth. “Implacable + resentment _is_ a shade in a character. But you have chosen your + fault well. I really cannot _laugh_ at it. You are safe from me.” + + “There is, I believe, in every disposition a tendency to some + particular evil—a natural defect, which not even the best + education can overcome.” + + “And _your_ defect is to hate everybody.” + + “And yours,” he replied with a smile, “is willfully to + misunderstand them.” + + “Do let us have a little music,” cried Miss Bingley, tired of a + conversation in which she had no share. “Louisa, you will not + mind my waking Mr. Hurst?” + + Her sister had not the smallest objection, and the pianoforte was + opened; and Darcy, after a few moments’ recollection, was not + sorry for it. He began to feel the danger of paying Elizabeth too + much attention. + + + + + Chapter 12 + + In consequence of an agreement between the sisters, Elizabeth + wrote the next morning to their mother, to beg that the carriage + might be sent for them in the course of the day. But Mrs. Bennet, + who had calculated on her daughters remaining at Netherfield till + the following Tuesday, which would exactly finish Jane’s week, + could not bring herself to receive them with pleasure before. Her + answer, therefore, was not propitious, at least not to + Elizabeth’s wishes, for she was impatient to get home. Mrs. + Bennet sent them word that they could not possibly have the + carriage before Tuesday; and in her postscript it was added, that + if Mr. Bingley and his sister pressed them to stay longer, she + could spare them very well. Against staying longer, however, + Elizabeth was positively resolved—nor did she much expect it + would be asked; and fearful, on the contrary, as being considered + as intruding themselves needlessly long, she urged Jane to borrow + Mr. Bingley’s carriage immediately, and at length it was settled + that their original design of leaving Netherfield that morning + should be mentioned, and the request made. + + The communication excited many professions of concern; and enough + was said of wishing them to stay at least till the following day + to work on Jane; and till the morrow their going was deferred. + Miss Bingley was then sorry that she had proposed the delay, for + her jealousy and dislike of one sister much exceeded her + affection for the other. + + The master of the house heard with real sorrow that they were to + go so soon, and repeatedly tried to persuade Miss Bennet that it + would not be safe for her—that she was not enough recovered; but + Jane was firm where she felt herself to be right. + + To Mr. Darcy it was welcome intelligence—Elizabeth had been at + Netherfield long enough. She attracted him more than he liked—and + Miss Bingley was uncivil to _her_, and more teasing than usual to + himself. He wisely resolved to be particularly careful that no + sign of admiration should _now_ escape him, nothing that could + elevate her with the hope of influencing his felicity; sensible + that if such an idea had been suggested, his behaviour during the + last day must have material weight in confirming or crushing it. + Steady to his purpose, he scarcely spoke ten words to her through + the whole of Saturday, and though they were at one time left by + themselves for half-an-hour, he adhered most conscientiously to + his book, and would not even look at her. + + On Sunday, after morning service, the separation, so agreeable to + almost all, took place. Miss Bingley’s civility to Elizabeth + increased at last very rapidly, as well as her affection for + Jane; and when they parted, after assuring the latter of the + pleasure it would always give her to see her either at Longbourn + or Netherfield, and embracing her most tenderly, she even shook + hands with the former. Elizabeth took leave of the whole party in + the liveliest of spirits. + + They were not welcomed home very cordially by their mother. Mrs. + Bennet wondered at their coming, and thought them very wrong to + give so much trouble, and was sure Jane would have caught cold + again. But their father, though very laconic in his expressions + of pleasure, was really glad to see them; he had felt their + importance in the family circle. The evening conversation, when + they were all assembled, had lost much of its animation, and + almost all its sense by the absence of Jane and Elizabeth. + + They found Mary, as usual, deep in the study of thorough-bass and + human nature; and had some extracts to admire, and some new + observations of threadbare morality to listen to. Catherine and + Lydia had information for them of a different sort. Much had been + done and much had been said in the regiment since the preceding + Wednesday; several of the officers had dined lately with their + uncle, a private had been flogged, and it had actually been + hinted that Colonel Forster was going to be married. + + + + + Chapter 13 + + “I hope, my dear,” said Mr. Bennet to his wife, as they were at + breakfast the next morning, “that you have ordered a good dinner + to-day, because I have reason to expect an addition to our family + party.” + + “Who do you mean, my dear? I know of nobody that is coming, I am + sure, unless Charlotte Lucas should happen to call in—and I hope + _my_ dinners are good enough for her. I do not believe she often + sees such at home.” + + “The person of whom I speak is a gentleman, and a stranger.” + + Mrs. Bennet’s eyes sparkled. “A gentleman and a stranger! It is + Mr. Bingley, I am sure! Well, I am sure I shall be extremely glad + to see Mr. Bingley. But—good Lord! how unlucky! There is not a + bit of fish to be got to-day. Lydia, my love, ring the bell—I + must speak to Hill this moment.” + + “It is _not_ Mr. Bingley,” said her husband; “it is a person whom + I never saw in the whole course of my life.” + + This roused a general astonishment; and he had the pleasure of + being eagerly questioned by his wife and his five daughters at + once. + + After amusing himself some time with their curiosity, he thus + explained: + + “About a month ago I received this letter; and about a fortnight + ago I answered it, for I thought it a case of some delicacy, and + requiring early attention. It is from my cousin, Mr. Collins, + who, when I am dead, may turn you all out of this house as soon + as he pleases.” + + “Oh! my dear,” cried his wife, “I cannot bear to hear that + mentioned. Pray do not talk of that odious man. I do think it is + the hardest thing in the world, that your estate should be + entailed away from your own children; and I am sure, if I had + been you, I should have tried long ago to do something or other + about it.” + + Jane and Elizabeth tried to explain to her the nature of an + entail. They had often attempted to do it before, but it was a + subject on which Mrs. Bennet was beyond the reach of reason, and + she continued to rail bitterly against the cruelty of settling an + estate away from a family of five daughters, in favour of a man + whom nobody cared anything about. + + “It certainly is a most iniquitous affair,” said Mr. Bennet, “and + nothing can clear Mr. Collins from the guilt of inheriting + Longbourn. But if you will listen to his letter, you may perhaps + be a little softened by his manner of expressing himself.” + + “No, that I am sure I shall not; and I think it is very + impertinent of him to write to you at all, and very hypocritical. + I hate such false friends. Why could he not keep on quarreling + with you, as his father did before him?” + + “Why, indeed; he does seem to have had some filial scruples on + that head, as you will hear.” + + “Hunsford, near Westerham, Kent, 15_th October_. + + “Dear Sir,— + “The disagreement subsisting between yourself and my late + honoured father always gave me much uneasiness, and since I have + had the misfortune to lose him, I have frequently wished to heal + the breach; but for some time I was kept back by my own doubts, + fearing lest it might seem disrespectful to his memory for me to + be on good terms with anyone with whom it had always pleased him + to be at variance.—‘There, Mrs. Bennet.’—My mind, however, is now + made up on the subject, for having received ordination at Easter, + I have been so fortunate as to be distinguished by the patronage + of the Right Honourable Lady Catherine de Bourgh, widow of Sir + Lewis de Bourgh, whose bounty and beneficence has preferred me to + the valuable rectory of this parish, where it shall be my earnest + endeavour to demean myself with grateful respect towards her + ladyship, and be ever ready to perform those rites and ceremonies + which are instituted by the Church of England. As a clergyman, + moreover, I feel it my duty to promote and establish the blessing + of peace in all families within the reach of my influence; and on + these grounds I flatter myself that my present overtures are + highly commendable, and that the circumstance of my being next in + the entail of Longbourn estate will be kindly overlooked on your + side, and not lead you to reject the offered olive-branch. I + cannot be otherwise than concerned at being the means of injuring + your amiable daughters, and beg leave to apologise for it, as + well as to assure you of my readiness to make them every possible + amends—but of this hereafter. If you should have no objection to + receive me into your house, I propose myself the satisfaction of + waiting on you and your family, Monday, November 18th, by four + o’clock, and shall probably trespass on your hospitality till the + Saturday se’ennight following, which I can do without any + inconvenience, as Lady Catherine is far from objecting to my + occasional absence on a Sunday, provided that some other + clergyman is engaged to do the duty of the day.—I remain, dear + sir, with respectful compliments to your lady and daughters, your + well-wisher and friend, + + “WILLIAM COLLINS” + + “At four o’clock, therefore, we may expect this peace-making + gentleman,” said Mr. Bennet, as he folded up the letter. “He + seems to be a most conscientious and polite young man, upon my + word, and I doubt not will prove a valuable acquaintance, + especially if Lady Catherine should be so indulgent as to let him + come to us again.” + + “There is some sense in what he says about the girls, however, + and if he is disposed to make them any amends, I shall not be the + person to discourage him.” + + “Though it is difficult,” said Jane, “to guess in what way he can + mean to make us the atonement he thinks our due, the wish is + certainly to his credit.” + + Elizabeth was chiefly struck by his extraordinary deference for + Lady Catherine, and his kind intention of christening, marrying, + and burying his parishioners whenever it were required. + + “He must be an oddity, I think,” said she. “I cannot make him + out.—There is something very pompous in his style.—And what can + he mean by apologising for being next in the entail?—We cannot + suppose he would help it if he could.—Could he be a sensible man, + sir?” + + “No, my dear, I think not. I have great hopes of finding him + quite the reverse. There is a mixture of servility and + self-importance in his letter, which promises well. I am + impatient to see him.” + + “In point of composition,” said Mary, “the letter does not seem + defective. The idea of the olive-branch perhaps is not wholly + new, yet I think it is well expressed.” + + To Catherine and Lydia, neither the letter nor its writer were in + any degree interesting. It was next to impossible that their + cousin should come in a scarlet coat, and it was now some weeks + since they had received pleasure from the society of a man in any + other colour. As for their mother, Mr. Collins’s letter had done + away much of her ill-will, and she was preparing to see him with + a degree of composure which astonished her husband and daughters. + + Mr. Collins was punctual to his time, and was received with great + politeness by the whole family. Mr. Bennet indeed said little; + but the ladies were ready enough to talk, and Mr. Collins seemed + neither in need of encouragement, nor inclined to be silent + himself. He was a tall, heavy-looking young man of + five-and-twenty. His air was grave and stately, and his manners + were very formal. He had not been long seated before he + complimented Mrs. Bennet on having so fine a family of daughters; + said he had heard much of their beauty, but that in this instance + fame had fallen short of the truth; and added, that he did not + doubt her seeing them all in due time disposed of in marriage. + This gallantry was not much to the taste of some of his hearers; + but Mrs. Bennet, who quarreled with no compliments, answered most + readily. + + “You are very kind, I am sure; and I wish with all my heart it + may prove so, for else they will be destitute enough. Things are + settled so oddly.” + + “You allude, perhaps, to the entail of this estate.” + + “Ah! sir, I do indeed. It is a grievous affair to my poor girls, + you must confess. Not that I mean to find fault with _you_, for + such things I know are all chance in this world. There is no + knowing how estates will go when once they come to be entailed.” + + “I am very sensible, madam, of the hardship to my fair cousins, + and could say much on the subject, but that I am cautious of + appearing forward and precipitate. But I can assure the young + ladies that I come prepared to admire them. At present I will not + say more; but, perhaps, when we are better acquainted—” + + He was interrupted by a summons to dinner; and the girls smiled + on each other. They were not the only objects of Mr. Collins’s + admiration. The hall, the dining-room, and all its furniture, + were examined and praised; and his commendation of everything + would have touched Mrs. Bennet’s heart, but for the mortifying + supposition of his viewing it all as his own future property. The + dinner too in its turn was highly admired; and he begged to know + to which of his fair cousins the excellency of its cooking was + owing. But he was set right there by Mrs. Bennet, who assured him + with some asperity that they were very well able to keep a good + cook, and that her daughters had nothing to do in the kitchen. He + begged pardon for having displeased her. In a softened tone she + declared herself not at all offended; but he continued to + apologise for about a quarter of an hour. + + + + + Chapter 14 + + During dinner, Mr. Bennet scarcely spoke at all; but when the + servants were withdrawn, he thought it time to have some + conversation with his guest, and therefore started a subject in + which he expected him to shine, by observing that he seemed very + fortunate in his patroness. Lady Catherine de Bourgh’s attention + to his wishes, and consideration for his comfort, appeared very + remarkable. Mr. Bennet could not have chosen better. Mr. Collins + was eloquent in her praise. The subject elevated him to more than + usual solemnity of manner, and with a most important aspect he + protested that “he had never in his life witnessed such behaviour + in a person of rank—such affability and condescension, as he had + himself experienced from Lady Catherine. She had been graciously + pleased to approve of both of the discourses which he had already + had the honour of preaching before her. She had also asked him + twice to dine at Rosings, and had sent for him only the Saturday + before, to make up her pool of quadrille in the evening. Lady + Catherine was reckoned proud by many people he knew, but _he_ had + never seen anything but affability in her. She had always spoken + to him as she would to any other gentleman; she made not the + smallest objection to his joining in the society of the + neighbourhood nor to his leaving the parish occasionally for a + week or two, to visit his relations. She had even condescended to + advise him to marry as soon as he could, provided he chose with + discretion; and had once paid him a visit in his humble + parsonage, where she had perfectly approved all the alterations + he had been making, and had even vouchsafed to suggest some + herself—some shelves in the closet up stairs.” + + “That is all very proper and civil, I am sure,” said Mrs. Bennet, + “and I dare say she is a very agreeable woman. It is a pity that + great ladies in general are not more like her. Does she live near + you, sir?” + + “The garden in which stands my humble abode is separated only by + a lane from Rosings Park, her ladyship’s residence.” + + “I think you said she was a widow, sir? Has she any family?” + + “She has only one daughter, the heiress of Rosings, and of very + extensive property.” + + “Ah!” said Mrs. Bennet, shaking her head, “then she is better off + than many girls. And what sort of young lady is she? Is she + handsome?” + + “She is a most charming young lady indeed. Lady Catherine herself + says that, in point of true beauty, Miss de Bourgh is far + superior to the handsomest of her sex, because there is that in + her features which marks the young lady of distinguished birth. + She is unfortunately of a sickly constitution, which has + prevented her from making that progress in many accomplishments + which she could not have otherwise failed of, as I am informed by + the lady who superintended her education, and who still resides + with them. But she is perfectly amiable, and often condescends to + drive by my humble abode in her little phaeton and ponies.” + + “Has she been presented? I do not remember her name among the + ladies at court.” + + “Her indifferent state of health unhappily prevents her being in + town; and by that means, as I told Lady Catherine one day, has + deprived the British court of its brightest ornament. Her + ladyship seemed pleased with the idea; and you may imagine that I + am happy on every occasion to offer those little delicate + compliments which are always acceptable to ladies. I have more + than once observed to Lady Catherine, that her charming daughter + seemed born to be a duchess, and that the most elevated rank, + instead of giving her consequence, would be adorned by her. These + are the kind of little things which please her ladyship, and it + is a sort of attention which I conceive myself peculiarly bound + to pay.” + + “You judge very properly,” said Mr. Bennet, “and it is happy for + you that you possess the talent of flattering with delicacy. May + I ask whether these pleasing attentions proceed from the impulse + of the moment, or are the result of previous study?” + + “They arise chiefly from what is passing at the time, and though + I sometimes amuse myself with suggesting and arranging such + little elegant compliments as may be adapted to ordinary + occasions, I always wish to give them as unstudied an air as + possible.” + + Mr. Bennet’s expectations were fully answered. His cousin was as + absurd as he had hoped, and he listened to him with the keenest + enjoyment, maintaining at the same time the most resolute + composure of countenance, and, except in an occasional glance at + Elizabeth, requiring no partner in his pleasure. + + By tea-time, however, the dose had been enough, and Mr. Bennet + was glad to take his guest into the drawing-room again, and, when + tea was over, glad to invite him to read aloud to the ladies. Mr. + Collins readily assented, and a book was produced; but, on + beholding it (for everything announced it to be from a + circulating library), he started back, and begging pardon, + protested that he never read novels. Kitty stared at him, and + Lydia exclaimed. Other books were produced, and after some + deliberation he chose Fordyce’s Sermons. Lydia gaped as he opened + the volume, and before he had, with very monotonous solemnity, + read three pages, she interrupted him with: + + “Do you know, mamma, that my uncle Phillips talks of turning away + Richard; and if he does, Colonel Forster will hire him. My aunt + told me so herself on Saturday. I shall walk to Meryton to-morrow + to hear more about it, and to ask when Mr. Denny comes back from + town.” + + Lydia was bid by her two eldest sisters to hold her tongue; but + Mr. Collins, much offended, laid aside his book, and said: + + “I have often observed how little young ladies are interested by + books of a serious stamp, though written solely for their + benefit. It amazes me, I confess; for, certainly, there can be + nothing so advantageous to them as instruction. But I will no + longer importune my young cousin.” + + Then turning to Mr. Bennet, he offered himself as his antagonist + at backgammon. Mr. Bennet accepted the challenge, observing that + he acted very wisely in leaving the girls to their own trifling + amusements. Mrs. Bennet and her daughters apologised most civilly + for Lydia’s interruption, and promised that it should not occur + again, if he would resume his book; but Mr. Collins, after + assuring them that he bore his young cousin no ill-will, and + should never resent her behaviour as any affront, seated himself + at another table with Mr. Bennet, and prepared for backgammon. + + + + + Chapter 15 + + Mr. Collins was not a sensible man, and the deficiency of nature + had been but little assisted by education or society; the + greatest part of his life having been spent under the guidance of + an illiterate and miserly father; and though he belonged to one + of the universities, he had merely kept the necessary terms, + without forming at it any useful acquaintance. The subjection in + which his father had brought him up had given him originally + great humility of manner; but it was now a good deal counteracted + by the self-conceit of a weak head, living in retirement, and the + consequential feelings of early and unexpected prosperity. A + fortunate chance had recommended him to Lady Catherine de Bourgh + when the living of Hunsford was vacant; and the respect which he + felt for her high rank, and his veneration for her as his + patroness, mingling with a very good opinion of himself, of his + authority as a clergyman, and his right as a rector, made him + altogether a mixture of pride and obsequiousness, self-importance + and humility. + + Having now a good house and a very sufficient income, he intended + to marry; and in seeking a reconciliation with the Longbourn + family he had a wife in view, as he meant to choose one of the + daughters, if he found them as handsome and amiable as they were + represented by common report. This was his plan of amends—of + atonement—for inheriting their father’s estate; and he thought it + an excellent one, full of eligibility and suitableness, and + excessively generous and disinterested on his own part. + + His plan did not vary on seeing them. Miss Bennet’s lovely face + confirmed his views, and established all his strictest notions of + what was due to seniority; and for the first evening _she_ was + his settled choice. The next morning, however, made an + alteration; for in a quarter of an hour’s _tête-à-tête_ with Mrs. + Bennet before breakfast, a conversation beginning with his + parsonage-house, and leading naturally to the avowal of his + hopes, that a mistress might be found for it at Longbourn, + produced from her, amid very complaisant smiles and general + encouragement, a caution against the very Jane he had fixed on. + “As to her _younger_ daughters, she could not take upon her to + say—she could not positively answer—but she did not _know_ of any + prepossession; her _eldest_ daughter, she must just mention—she + felt it incumbent on her to hint, was likely to be very soon + engaged.” + + Mr. Collins had only to change from Jane to Elizabeth—and it was + soon done—done while Mrs. Bennet was stirring the fire. + Elizabeth, equally next to Jane in birth and beauty, succeeded + her of course. + + Mrs. Bennet treasured up the hint, and trusted that she might + soon have two daughters married; and the man whom she could not + bear to speak of the day before was now high in her good graces. + + Lydia’s intention of walking to Meryton was not forgotten; every + sister except Mary agreed to go with her; and Mr. Collins was to + attend them, at the request of Mr. Bennet, who was most anxious + to get rid of him, and have his library to himself; for thither + Mr. Collins had followed him after breakfast; and there he would + continue, nominally engaged with one of the largest folios in the + collection, but really talking to Mr. Bennet, with little + cessation, of his house and garden at Hunsford. Such doings + discomposed Mr. Bennet exceedingly. In his library he had been + always sure of leisure and tranquillity; and though prepared, as + he told Elizabeth, to meet with folly and conceit in every other + room of the house, he was used to be free from them there; his + civility, therefore, was most prompt in inviting Mr. Collins to + join his daughters in their walk; and Mr. Collins, being in fact + much better fitted for a walker than a reader, was extremely + pleased to close his large book, and go. + + In pompous nothings on his side, and civil assents on that of his + cousins, their time passed till they entered Meryton. The + attention of the younger ones was then no longer to be gained by + _him_. Their eyes were immediately wandering up in the street in + quest of the officers, and nothing less than a very smart bonnet + indeed, or a really new muslin in a shop window, could recall + them. + + But the attention of every lady was soon caught by a young man, + whom they had never seen before, of most gentlemanlike + appearance, walking with another officer on the other side of the + way. The officer was the very Mr. Denny concerning whose return + from London Lydia came to inquire, and he bowed as they passed. + All were struck with the stranger’s air, all wondered who he + could be; and Kitty and Lydia, determined if possible to find + out, led the way across the street, under pretense of wanting + something in an opposite shop, and fortunately had just gained + the pavement when the two gentlemen, turning back, had reached + the same spot. Mr. Denny addressed them directly, and entreated + permission to introduce his friend, Mr. Wickham, who had returned + with him the day before from town, and he was happy to say had + accepted a commission in their corps. This was exactly as it + should be; for the young man wanted only regimentals to make him + completely charming. His appearance was greatly in his favour; he + had all the best part of beauty, a fine countenance, a good + figure, and very pleasing address. The introduction was followed + up on his side by a happy readiness of conversation—a readiness + at the same time perfectly correct and unassuming; and the whole + party were still standing and talking together very agreeably, + when the sound of horses drew their notice, and Darcy and Bingley + were seen riding down the street. On distinguishing the ladies of + the group, the two gentlemen came directly towards them, and + began the usual civilities. Bingley was the principal spokesman, + and Miss Bennet the principal object. He was then, he said, on + his way to Longbourn on purpose to inquire after her. Mr. Darcy + corroborated it with a bow, and was beginning to determine not to + fix his eyes on Elizabeth, when they were suddenly arrested by + the sight of the stranger, and Elizabeth happening to see the + countenance of both as they looked at each other, was all + astonishment at the effect of the meeting. Both changed colour, + one looked white, the other red. Mr. Wickham, after a few + moments, touched his hat—a salutation which Mr. Darcy just + deigned to return. What could be the meaning of it? It was + impossible to imagine; it was impossible not to long to know. + + In another minute, Mr. Bingley, but without seeming to have + noticed what passed, took leave and rode on with his friend. + + Mr. Denny and Mr. Wickham walked with the young ladies to the + door of Mr. Phillip’s house, and then made their bows, in spite + of Miss Lydia’s pressing entreaties that they should come in, and + even in spite of Mrs. Phillips’s throwing up the parlour window + and loudly seconding the invitation. + + Mrs. Phillips was always glad to see her nieces; and the two + eldest, from their recent absence, were particularly welcome, and + she was eagerly expressing her surprise at their sudden return + home, which, as their own carriage had not fetched them, she + should have known nothing about, if she had not happened to see + Mr. Jones’s shop-boy in the street, who had told her that they + were not to send any more draughts to Netherfield because the + Miss Bennets were come away, when her civility was claimed + towards Mr. Collins by Jane’s introduction of him. She received + him with her very best politeness, which he returned with as much + more, apologising for his intrusion, without any previous + acquaintance with her, which he could not help flattering + himself, however, might be justified by his relationship to the + young ladies who introduced him to her notice. Mrs. Phillips was + quite awed by such an excess of good breeding; but her + contemplation of one stranger was soon put to an end by + exclamations and inquiries about the other; of whom, however, she + could only tell her nieces what they already knew, that Mr. Denny + had brought him from London, and that he was to have a + lieutenant’s commission in the ——shire. She had been watching him + the last hour, she said, as he walked up and down the street, and + had Mr. Wickham appeared, Kitty and Lydia would certainly have + continued the occupation, but unluckily no one passed windows now + except a few of the officers, who, in comparison with the + stranger, were become “stupid, disagreeable fellows.” Some of + them were to dine with the Phillipses the next day, and their + aunt promised to make her husband call on Mr. Wickham, and give + him an invitation also, if the family from Longbourn would come + in the evening. This was agreed to, and Mrs. Phillips protested + that they would have a nice comfortable noisy game of lottery + tickets, and a little bit of hot supper afterwards. The prospect + of such delights was very cheering, and they parted in mutual + good spirits. Mr. Collins repeated his apologies in quitting the + room, and was assured with unwearying civility that they were + perfectly needless. + + As they walked home, Elizabeth related to Jane what she had seen + pass between the two gentlemen; but though Jane would have + defended either or both, had they appeared to be in the wrong, + she could no more explain such behaviour than her sister. + + Mr. Collins on his return highly gratified Mrs. Bennet by + admiring Mrs. Phillips’s manners and politeness. He protested + that, except Lady Catherine and her daughter, he had never seen a + more elegant woman; for she had not only received him with the + utmost civility, but even pointedly included him in her + invitation for the next evening, although utterly unknown to her + before. Something, he supposed, might be attributed to his + connection with them, but yet he had never met with so much + attention in the whole course of his life. + + + + + Chapter 16 + + As no objection was made to the young people’s engagement with + their aunt, and all Mr. Collins’s scruples of leaving Mr. and + Mrs. Bennet for a single evening during his visit were most + steadily resisted, the coach conveyed him and his five cousins at + a suitable hour to Meryton; and the girls had the pleasure of + hearing, as they entered the drawing-room, that Mr. Wickham had + accepted their uncle’s invitation, and was then in the house. + + When this information was given, and they had all taken their + seats, Mr. Collins was at leisure to look around him and admire, + and he was so much struck with the size and furniture of the + apartment, that he declared he might almost have supposed himself + in the small summer breakfast parlour at Rosings; a comparison + that did not at first convey much gratification; but when Mrs. + Phillips understood from him what Rosings was, and who was its + proprietor—when she had listened to the description of only one + of Lady Catherine’s drawing-rooms, and found that the + chimney-piece alone had cost eight hundred pounds, she felt all + the force of the compliment, and would hardly have resented a + comparison with the housekeeper’s room. + + In describing to her all the grandeur of Lady Catherine and her + mansion, with occasional digressions in praise of his own humble + abode, and the improvements it was receiving, he was happily + employed until the gentlemen joined them; and he found in Mrs. + Phillips a very attentive listener, whose opinion of his + consequence increased with what she heard, and who was resolving + to retail it all among her neighbours as soon as she could. To + the girls, who could not listen to their cousin, and who had + nothing to do but to wish for an instrument, and examine their + own indifferent imitations of china on the mantelpiece, the + interval of waiting appeared very long. It was over at last, + however. The gentlemen did approach, and when Mr. Wickham walked + into the room, Elizabeth felt that she had neither been seeing + him before, nor thinking of him since, with the smallest degree + of unreasonable admiration. The officers of the ——shire were in + general a very creditable, gentlemanlike set, and the best of + them were of the present party; but Mr. Wickham was as far beyond + them all in person, countenance, air, and walk, as _they_ were + superior to the broad-faced, stuffy uncle Phillips, breathing + port wine, who followed them into the room. + + Mr. Wickham was the happy man towards whom almost every female + eye was turned, and Elizabeth was the happy woman by whom he + finally seated himself; and the agreeable manner in which he + immediately fell into conversation, though it was only on its + being a wet night, made her feel that the commonest, dullest, + most threadbare topic might be rendered interesting by the skill + of the speaker. + + With such rivals for the notice of the fair as Mr. Wickham and + the officers, Mr. Collins seemed to sink into insignificance; to + the young ladies he certainly was nothing; but he had still at + intervals a kind listener in Mrs. Phillips, and was by her + watchfulness, most abundantly supplied with coffee and muffin. + When the card-tables were placed, he had the opportunity of + obliging her in turn, by sitting down to whist. + + “I know little of the game at present,” said he, “but I shall be + glad to improve myself, for in my situation in life—” Mrs. + Phillips was very glad for his compliance, but could not wait for + his reason. + + Mr. Wickham did not play at whist, and with ready delight was he + received at the other table between Elizabeth and Lydia. At first + there seemed danger of Lydia’s engrossing him entirely, for she + was a most determined talker; but being likewise extremely fond + of lottery tickets, she soon grew too much interested in the + game, too eager in making bets and exclaiming after prizes to + have attention for anyone in particular. Allowing for the common + demands of the game, Mr. Wickham was therefore at leisure to talk + to Elizabeth, and she was very willing to hear him, though what + she chiefly wished to hear she could not hope to be told—the + history of his acquaintance with Mr. Darcy. She dared not even + mention that gentleman. Her curiosity, however, was unexpectedly + relieved. Mr. Wickham began the subject himself. He inquired how + far Netherfield was from Meryton; and, after receiving her + answer, asked in a hesitating manner how long Mr. Darcy had been + staying there. + + “About a month,” said Elizabeth; and then, unwilling to let the + subject drop, added, “He is a man of very large property in + Derbyshire, I understand.” + + “Yes,” replied Mr. Wickham; “his estate there is a noble one. A + clear ten thousand per annum. You could not have met with a + person more capable of giving you certain information on that + head than myself, for I have been connected with his family in a + particular manner from my infancy.” + + Elizabeth could not but look surprised. + + “You may well be surprised, Miss Bennet, at such an assertion, + after seeing, as you probably might, the very cold manner of our + meeting yesterday. Are you much acquainted with Mr. Darcy?” + + “As much as I ever wish to be,” cried Elizabeth very warmly. “I + have spent four days in the same house with him, and I think him + very disagreeable.” + + “I have no right to give _my_ opinion,” said Wickham, “as to his + being agreeable or otherwise. I am not qualified to form one. I + have known him too long and too well to be a fair judge. It is + impossible for _me_ to be impartial. But I believe your opinion + of him would in general astonish—and perhaps you would not + express it quite so strongly anywhere else. Here you are in your + own family.” + + “Upon my word, I say no more _here_ than I might say in any house + in the neighbourhood, except Netherfield. He is not at all liked + in Hertfordshire. Everybody is disgusted with his pride. You will + not find him more favourably spoken of by anyone.” + + “I cannot pretend to be sorry,” said Wickham, after a short + interruption, “that he or that any man should not be estimated + beyond their deserts; but with _him_ I believe it does not often + happen. The world is blinded by his fortune and consequence, or + frightened by his high and imposing manners, and sees him only as + he chooses to be seen.” + + “I should take him, even on _my_ slight acquaintance, to be an + ill-tempered man.” Wickham only shook his head. + + “I wonder,” said he, at the next opportunity of speaking, + “whether he is likely to be in this country much longer.” + + “I do not at all know; but I _heard_ nothing of his going away + when I was at Netherfield. I hope your plans in favour of the + ——shire will not be affected by his being in the neighbourhood.” + + “Oh! no—it is not for _me_ to be driven away by Mr. Darcy. If + _he_ wishes to avoid seeing _me_, he must go. We are not on + friendly terms, and it always gives me pain to meet him, but I + have no reason for avoiding _him_ but what I might proclaim + before all the world, a sense of very great ill-usage, and most + painful regrets at his being what he is. His father, Miss Bennet, + the late Mr. Darcy, was one of the best men that ever breathed, + and the truest friend I ever had; and I can never be in company + with this Mr. Darcy without being grieved to the soul by a + thousand tender recollections. His behaviour to myself has been + scandalous; but I verily believe I could forgive him anything and + everything, rather than his disappointing the hopes and + disgracing the memory of his father.” + + Elizabeth found the interest of the subject increase, and + listened with all her heart; but the delicacy of it prevented + further inquiry. + + Mr. Wickham began to speak on more general topics, Meryton, the + neighbourhood, the society, appearing highly pleased with all + that he had yet seen, and speaking of the latter with gentle but + very intelligible gallantry. + + “It was the prospect of constant society, and good society,” he + added, “which was my chief inducement to enter the ——shire. I + knew it to be a most respectable, agreeable corps, and my friend + Denny tempted me further by his account of their present + quarters, and the very great attentions and excellent + acquaintances Meryton had procured them. Society, I own, is + necessary to me. I have been a disappointed man, and my spirits + will not bear solitude. I _must_ have employment and society. A + military life is not what I was intended for, but circumstances + have now made it eligible. The church _ought_ to have been my + profession—I was brought up for the church, and I should at this + time have been in possession of a most valuable living, had it + pleased the gentleman we were speaking of just now.” + + “Indeed!” + + “Yes—the late Mr. Darcy bequeathed me the next presentation of + the best living in his gift. He was my godfather, and excessively + attached to me. I cannot do justice to his kindness. He meant to + provide for me amply, and thought he had done it; but when the + living fell, it was given elsewhere.” + + “Good heavens!” cried Elizabeth; “but how could _that_ be? How + could his will be disregarded? Why did you not seek legal + redress?” + + “There was just such an informality in the terms of the bequest + as to give me no hope from law. A man of honour could not have + doubted the intention, but Mr. Darcy chose to doubt it—or to + treat it as a merely conditional recommendation, and to assert + that I had forfeited all claim to it by extravagance, + imprudence—in short anything or nothing. Certain it is, that the + living became vacant two years ago, exactly as I was of an age to + hold it, and that it was given to another man; and no less + certain is it, that I cannot accuse myself of having really done + anything to deserve to lose it. I have a warm, unguarded temper, + and I may have spoken my opinion _of_ him, and _to_ him, too + freely. I can recall nothing worse. But the fact is, that we are + very different sort of men, and that he hates me.” + + “This is quite shocking! He deserves to be publicly disgraced.” + + “Some time or other he _will_ be—but it shall not be by _me_. + Till I can forget his father, I can never defy or expose _him_.” + + Elizabeth honoured him for such feelings, and thought him + handsomer than ever as he expressed them. + + “But what,” said she, after a pause, “can have been his motive? + What can have induced him to behave so cruelly?” + + “A thorough, determined dislike of me—a dislike which I cannot + but attribute in some measure to jealousy. Had the late Mr. Darcy + liked me less, his son might have borne with me better; but his + father’s uncommon attachment to me irritated him, I believe, very + early in life. He had not a temper to bear the sort of + competition in which we stood—the sort of preference which was + often given me.” + + “I had not thought Mr. Darcy so bad as this—though I have never + liked him. I had not thought so very ill of him. I had supposed + him to be despising his fellow-creatures in general, but did not + suspect him of descending to such malicious revenge, such + injustice, such inhumanity as this.” + + After a few minutes’ reflection, however, she continued, “I _do_ + remember his boasting one day, at Netherfield, of the + implacability of his resentments, of his having an unforgiving + temper. His disposition must be dreadful.” + + “I will not trust myself on the subject,” replied Wickham; “_I_ + can hardly be just to him.” + + Elizabeth was again deep in thought, and after a time exclaimed, + “To treat in such a manner the godson, the friend, the favourite + of his father!” She could have added, “A young man, too, like + _you_, whose very countenance may vouch for your being + amiable”—but she contented herself with, “and one, too, who had + probably been his companion from childhood, connected together, + as I think you said, in the closest manner!” + + “We were born in the same parish, within the same park; the + greatest part of our youth was passed together; inmates of the + same house, sharing the same amusements, objects of the same + parental care. _My_ father began life in the profession which + your uncle, Mr. Phillips, appears to do so much credit to—but he + gave up everything to be of use to the late Mr. Darcy and devoted + all his time to the care of the Pemberley property. He was most + highly esteemed by Mr. Darcy, a most intimate, confidential + friend. Mr. Darcy often acknowledged himself to be under the + greatest obligations to my father’s active superintendence, and + when, immediately before my father’s death, Mr. Darcy gave him a + voluntary promise of providing for me, I am convinced that he + felt it to be as much a debt of gratitude to _him_, as of his + affection to myself.” + + “How strange!” cried Elizabeth. “How abominable! I wonder that + the very pride of this Mr. Darcy has not made him just to you! If + from no better motive, that he should not have been too proud to + be dishonest—for dishonesty I must call it.” + + “It _is_ wonderful,” replied Wickham, “for almost all his actions + may be traced to pride; and pride had often been his best friend. + It has connected him nearer with virtue than with any other + feeling. But we are none of us consistent, and in his behaviour + to me there were stronger impulses even than pride.” + + “Can such abominable pride as his have ever done him good?” + + “Yes. It has often led him to be liberal and generous, to give + his money freely, to display hospitality, to assist his tenants, + and relieve the poor. Family pride, and _filial_ pride—for he is + very proud of what his father was—have done this. Not to appear + to disgrace his family, to degenerate from the popular qualities, + or lose the influence of the Pemberley House, is a powerful + motive. He has also _brotherly_ pride, which, with _some_ + brotherly affection, makes him a very kind and careful guardian + of his sister, and you will hear him generally cried up as the + most attentive and best of brothers.” + + “What sort of girl is Miss Darcy?” + + He shook his head. “I wish I could call her amiable. It gives me + pain to speak ill of a Darcy. But she is too much like her + brother—very, very proud. As a child, she was affectionate and + pleasing, and extremely fond of me; and I have devoted hours and + hours to her amusement. But she is nothing to me now. She is a + handsome girl, about fifteen or sixteen, and, I understand, + highly accomplished. Since her father’s death, her home has been + London, where a lady lives with her, and superintends her + education.” + + After many pauses and many trials of other subjects, Elizabeth + could not help reverting once more to the first, and saying: + + “I am astonished at his intimacy with Mr. Bingley! How can Mr. + Bingley, who seems good humour itself, and is, I really believe, + truly amiable, be in friendship with such a man? How can they + suit each other? Do you know Mr. Bingley?” + + “Not at all.” + + “He is a sweet-tempered, amiable, charming man. He cannot know + what Mr. Darcy is.” + + “Probably not; but Mr. Darcy can please where he chooses. He does + not want abilities. He can be a conversible companion if he + thinks it worth his while. Among those who are at all his equals + in consequence, he is a very different man from what he is to the + less prosperous. His pride never deserts him; but with the rich + he is liberal-minded, just, sincere, rational, honourable, and + perhaps agreeable—allowing something for fortune and figure.” + + The whist party soon afterwards breaking up, the players gathered + round the other table and Mr. Collins took his station between + his cousin Elizabeth and Mrs. Phillips. The usual inquiries as to + his success were made by the latter. It had not been very great; + he had lost every point; but when Mrs. Phillips began to express + her concern thereupon, he assured her with much earnest gravity + that it was not of the least importance, that he considered the + money as a mere trifle, and begged that she would not make + herself uneasy. + + “I know very well, madam,” said he, “that when persons sit down + to a card-table, they must take their chances of these things, + and happily I am not in such circumstances as to make five + shillings any object. There are undoubtedly many who could not + say the same, but thanks to Lady Catherine de Bourgh, I am + removed far beyond the necessity of regarding little matters.” + + Mr. Wickham’s attention was caught; and after observing Mr. + Collins for a few moments, he asked Elizabeth in a low voice + whether her relation was very intimately acquainted with the + family of de Bourgh. + + “Lady Catherine de Bourgh,” she replied, “has very lately given + him a living. I hardly know how Mr. Collins was first introduced + to her notice, but he certainly has not known her long.” + + “You know of course that Lady Catherine de Bourgh and Lady Anne + Darcy were sisters; consequently that she is aunt to the present + Mr. Darcy.” + + “No, indeed, I did not. I knew nothing at all of Lady Catherine’s + connections. I never heard of her existence till the day before + yesterday.” + + “Her daughter, Miss de Bourgh, will have a very large fortune, + and it is believed that she and her cousin will unite the two + estates.” + + This information made Elizabeth smile, as she thought of poor + Miss Bingley. Vain indeed must be all her attentions, vain and + useless her affection for his sister and her praise of himself, + if he were already self-destined for another. + + “Mr. Collins,” said she, “speaks highly both of Lady Catherine + and her daughter; but from some particulars that he has related + of her ladyship, I suspect his gratitude misleads him, and that + in spite of her being his patroness, she is an arrogant, + conceited woman.” + + “I believe her to be both in a great degree,” replied Wickham; “I + have not seen her for many years, but I very well remember that I + never liked her, and that her manners were dictatorial and + insolent. She has the reputation of being remarkably sensible and + clever; but I rather believe she derives part of her abilities + from her rank and fortune, part from her authoritative manner, + and the rest from the pride for her nephew, who chooses that + everyone connected with him should have an understanding of the + first class.” + + Elizabeth allowed that he had given a very rational account of + it, and they continued talking together, with mutual satisfaction + till supper put an end to cards, and gave the rest of the ladies + their share of Mr. Wickham’s attentions. There could be no + conversation in the noise of Mrs. Phillips’s supper party, but + his manners recommended him to everybody. Whatever he said, was + said well; and whatever he did, done gracefully. Elizabeth went + away with her head full of him. She could think of nothing but of + Mr. Wickham, and of what he had told her, all the way home; but + there was not time for her even to mention his name as they went, + for neither Lydia nor Mr. Collins were once silent. Lydia talked + incessantly of lottery tickets, of the fish she had lost and the + fish she had won; and Mr. Collins in describing the civility of + Mr. and Mrs. Phillips, protesting that he did not in the least + regard his losses at whist, enumerating all the dishes at supper, + and repeatedly fearing that he crowded his cousins, had more to + say than he could well manage before the carriage stopped at + Longbourn House. + + + + + Chapter 17 + + Elizabeth related to Jane the next day what had passed between + Mr. Wickham and herself. Jane listened with astonishment and + concern; she knew not how to believe that Mr. Darcy could be so + unworthy of Mr. Bingley’s regard; and yet, it was not in her + nature to question the veracity of a young man of such amiable + appearance as Wickham. The possibility of his having endured such + unkindness, was enough to interest all her tender feelings; and + nothing remained therefore to be done, but to think well of them + both, to defend the conduct of each, and throw into the account + of accident or mistake whatever could not be otherwise explained. + + “They have both,” said she, “been deceived, I dare say, in some + way or other, of which we can form no idea. Interested people + have perhaps misrepresented each to the other. It is, in short, + impossible for us to conjecture the causes or circumstances which + may have alienated them, without actual blame on either side.” + + “Very true, indeed; and now, my dear Jane, what have you got to + say on behalf of the interested people who have probably been + concerned in the business? Do clear _them_ too, or we shall be + obliged to think ill of somebody.” + + “Laugh as much as you choose, but you will not laugh me out of my + opinion. My dearest Lizzy, do but consider in what a disgraceful + light it places Mr. Darcy, to be treating his father’s favourite + in such a manner, one whom his father had promised to provide + for. It is impossible. No man of common humanity, no man who had + any value for his character, could be capable of it. Can his most + intimate friends be so excessively deceived in him? Oh! no.” + + “I can much more easily believe Mr. Bingley’s being imposed on, + than that Mr. Wickham should invent such a history of himself as + he gave me last night; names, facts, everything mentioned without + ceremony. If it be not so, let Mr. Darcy contradict it. Besides, + there was truth in his looks.” + + “It is difficult indeed—it is distressing. One does not know what + to think.” + + “I beg your pardon; one knows exactly what to think.” + + But Jane could think with certainty on only one point—that Mr. + Bingley, if he _had been_ imposed on, would have much to suffer + when the affair became public. + + The two young ladies were summoned from the shrubbery, where this + conversation passed, by the arrival of the very persons of whom + they had been speaking; Mr. Bingley and his sisters came to give + their personal invitation for the long-expected ball at + Netherfield, which was fixed for the following Tuesday. The two + ladies were delighted to see their dear friend again, called it + an age since they had met, and repeatedly asked what she had been + doing with herself since their separation. To the rest of the + family they paid little attention; avoiding Mrs. Bennet as much + as possible, saying not much to Elizabeth, and nothing at all to + the others. They were soon gone again, rising from their seats + with an activity which took their brother by surprise, and + hurrying off as if eager to escape from Mrs. Bennet’s civilities. + + The prospect of the Netherfield ball was extremely agreeable to + every female of the family. Mrs. Bennet chose to consider it as + given in compliment to her eldest daughter, and was particularly + flattered by receiving the invitation from Mr. Bingley himself, + instead of a ceremonious card. Jane pictured to herself a happy + evening in the society of her two friends, and the attentions of + their brother; and Elizabeth thought with pleasure of dancing a + great deal with Mr. Wickham, and of seeing a confirmation of + everything in Mr. Darcy’s look and behaviour. The happiness + anticipated by Catherine and Lydia depended less on any single + event, or any particular person, for though they each, like + Elizabeth, meant to dance half the evening with Mr. Wickham, he + was by no means the only partner who could satisfy them, and a + ball was, at any rate, a ball. And even Mary could assure her + family that she had no disinclination for it. + + “While I can have my mornings to myself,” said she, “it is + enough—I think it is no sacrifice to join occasionally in evening + engagements. Society has claims on us all; and I profess myself + one of those who consider intervals of recreation and amusement + as desirable for everybody.” + + Elizabeth’s spirits were so high on this occasion, that though + she did not often speak unnecessarily to Mr. Collins, she could + not help asking him whether he intended to accept Mr. Bingley’s + invitation, and if he did, whether he would think it proper to + join in the evening’s amusement; and she was rather surprised to + find that he entertained no scruple whatever on that head, and + was very far from dreading a rebuke either from the Archbishop, + or Lady Catherine de Bourgh, by venturing to dance. + + “I am by no means of the opinion, I assure you,” said he, “that a + ball of this kind, given by a young man of character, to + respectable people, can have any evil tendency; and I am so far + from objecting to dancing myself, that I shall hope to be + honoured with the hands of all my fair cousins in the course of + the evening; and I take this opportunity of soliciting yours, + Miss Elizabeth, for the two first dances especially, a preference + which I trust my cousin Jane will attribute to the right cause, + and not to any disrespect for her.” + + Elizabeth felt herself completely taken in. She had fully + proposed being engaged by Mr. Wickham for those very dances; and + to have Mr. Collins instead! her liveliness had never been worse + timed. There was no help for it, however. Mr. Wickham’s happiness + and her own were perforce delayed a little longer, and Mr. + Collins’s proposal accepted with as good a grace as she could. + She was not the better pleased with his gallantry from the idea + it suggested of something more. It now first struck her, that + _she_ was selected from among her sisters as worthy of being + mistress of Hunsford Parsonage, and of assisting to form a + quadrille table at Rosings, in the absence of more eligible + visitors. The idea soon reached to conviction, as she observed + his increasing civilities toward herself, and heard his frequent + attempt at a compliment on her wit and vivacity; and though more + astonished than gratified herself by this effect of her charms, + it was not long before her mother gave her to understand that the + probability of their marriage was extremely agreeable to _her_. + Elizabeth, however, did not choose to take the hint, being well + aware that a serious dispute must be the consequence of any + reply. Mr. Collins might never make the offer, and till he did, + it was useless to quarrel about him. + + If there had not been a Netherfield ball to prepare for and talk + of, the younger Miss Bennets would have been in a very pitiable + state at this time, for from the day of the invitation, to the + day of the ball, there was such a succession of rain as prevented + their walking to Meryton once. No aunt, no officers, no news + could be sought after—the very shoe-roses for Netherfield were + got by proxy. Even Elizabeth might have found some trial of her + patience in weather which totally suspended the improvement of + her acquaintance with Mr. Wickham; and nothing less than a dance + on Tuesday, could have made such a Friday, Saturday, Sunday, and + Monday endurable to Kitty and Lydia. + + + + + Chapter 18 + + Till Elizabeth entered the drawing-room at Netherfield, and + looked in vain for Mr. Wickham among the cluster of red coats + there assembled, a doubt of his being present had never occurred + to her. The certainty of meeting him had not been checked by any + of those recollections that might not unreasonably have alarmed + her. She had dressed with more than usual care, and prepared in + the highest spirits for the conquest of all that remained + unsubdued of his heart, trusting that it was not more than might + be won in the course of the evening. But in an instant arose the + dreadful suspicion of his being purposely omitted for Mr. Darcy’s + pleasure in the Bingleys’ invitation to the officers; and though + this was not exactly the case, the absolute fact of his absence + was pronounced by his friend Denny, to whom Lydia eagerly + applied, and who told them that Wickham had been obliged to go to + town on business the day before, and was not yet returned; + adding, with a significant smile, “I do not imagine his business + would have called him away just now, if he had not wanted to + avoid a certain gentleman here.” + + This part of his intelligence, though unheard by Lydia, was + caught by Elizabeth, and, as it assured her that Darcy was not + less answerable for Wickham’s absence than if her first surmise + had been just, every feeling of displeasure against the former + was so sharpened by immediate disappointment, that she could + hardly reply with tolerable civility to the polite inquiries + which he directly afterwards approached to make. Attendance, + forbearance, patience with Darcy, was injury to Wickham. She was + resolved against any sort of conversation with him, and turned + away with a degree of ill-humour which she could not wholly + surmount even in speaking to Mr. Bingley, whose blind partiality + provoked her. + + But Elizabeth was not formed for ill-humour; and though every + prospect of her own was destroyed for the evening, it could not + dwell long on her spirits; and having told all her griefs to + Charlotte Lucas, whom she had not seen for a week, she was soon + able to make a voluntary transition to the oddities of her + cousin, and to point him out to her particular notice. The first + two dances, however, brought a return of distress; they were + dances of mortification. Mr. Collins, awkward and solemn, + apologising instead of attending, and often moving wrong without + being aware of it, gave her all the shame and misery which a + disagreeable partner for a couple of dances can give. The moment + of her release from him was ecstasy. + + She danced next with an officer, and had the refreshment of + talking of Wickham, and of hearing that he was universally liked. + When those dances were over, she returned to Charlotte Lucas, and + was in conversation with her, when she found herself suddenly + addressed by Mr. Darcy who took her so much by surprise in his + application for her hand, that, without knowing what she did, she + accepted him. He walked away again immediately, and she was left + to fret over her own want of presence of mind; Charlotte tried to + console her: + + “I dare say you will find him very agreeable.” + + “Heaven forbid! _That_ would be the greatest misfortune of all! + To find a man agreeable whom one is determined to hate! Do not + wish me such an evil.” + + When the dancing recommenced, however, and Darcy approached to + claim her hand, Charlotte could not help cautioning her in a + whisper, not to be a simpleton, and allow her fancy for Wickham + to make her appear unpleasant in the eyes of a man ten times his + consequence. Elizabeth made no answer, and took her place in the + set, amazed at the dignity to which she was arrived in being + allowed to stand opposite to Mr. Darcy, and reading in her + neighbours’ looks, their equal amazement in beholding it. They + stood for some time without speaking a word; and she began to + imagine that their silence was to last through the two dances, + and at first was resolved not to break it; till suddenly fancying + that it would be the greater punishment to her partner to oblige + him to talk, she made some slight observation on the dance. He + replied, and was again silent. After a pause of some minutes, she + addressed him a second time with:—“It is _your_ turn to say + something now, Mr. Darcy. _I_ talked about the dance, and _you_ + ought to make some sort of remark on the size of the room, or the + number of couples.” + + He smiled, and assured her that whatever she wished him to say + should be said. + + “Very well. That reply will do for the present. Perhaps by and by + I may observe that private balls are much pleasanter than public + ones. But _now_ we may be silent.” + + “Do you talk by rule, then, while you are dancing?” + + “Sometimes. One must speak a little, you know. It would look odd + to be entirely silent for half an hour together; and yet for the + advantage of _some_, conversation ought to be so arranged, as + that they may have the trouble of saying as little as possible.” + + “Are you consulting your own feelings in the present case, or do + you imagine that you are gratifying mine?” + + “Both,” replied Elizabeth archly; “for I have always seen a great + similarity in the turn of our minds. We are each of an unsocial, + taciturn disposition, unwilling to speak, unless we expect to say + something that will amaze the whole room, and be handed down to + posterity with all the _éclat_ of a proverb.” + + “This is no very striking resemblance of your own character, I am + sure,” said he. “How near it may be to _mine_, I cannot pretend + to say. _You_ think it a faithful portrait undoubtedly.” + + “I must not decide on my own performance.” + + He made no answer, and they were again silent till they had gone + down the dance, when he asked her if she and her sisters did not + very often walk to Meryton. She answered in the affirmative, and, + unable to resist the temptation, added, “When you met us there + the other day, we had just been forming a new acquaintance.” + + The effect was immediate. A deeper shade of _hauteur_ overspread + his features, but he said not a word, and Elizabeth, though + blaming herself for her own weakness, could not go on. At length + Darcy spoke, and in a constrained manner said, “Mr. Wickham is + blessed with such happy manners as may ensure his _making_ + friends—whether he may be equally capable of _retaining_ them, is + less certain.” + + “He has been so unlucky as to lose your friendship,” replied + Elizabeth with emphasis, “and in a manner which he is likely to + suffer from all his life.” + + Darcy made no answer, and seemed desirous of changing the + subject. At that moment, Sir William Lucas appeared close to + them, meaning to pass through the set to the other side of the + room; but on perceiving Mr. Darcy, he stopped with a bow of + superior courtesy to compliment him on his dancing and his + partner. + + “I have been most highly gratified indeed, my dear sir. Such very + superior dancing is not often seen. It is evident that you belong + to the first circles. Allow me to say, however, that your fair + partner does not disgrace you, and that I must hope to have this + pleasure often repeated, especially when a certain desirable + event, my dear Eliza (glancing at her sister and Bingley) shall + take place. What congratulations will then flow in! I appeal to + Mr. Darcy:—but let me not interrupt you, sir. You will not thank + me for detaining you from the bewitching converse of that young + lady, whose bright eyes are also upbraiding me.” + + The latter part of this address was scarcely heard by Darcy; but + Sir William’s allusion to his friend seemed to strike him + forcibly, and his eyes were directed with a very serious + expression towards Bingley and Jane, who were dancing together. + Recovering himself, however, shortly, he turned to his partner, + and said, “Sir William’s interruption has made me forget what we + were talking of.” + + “I do not think we were speaking at all. Sir William could not + have interrupted two people in the room who had less to say for + themselves. We have tried two or three subjects already without + success, and what we are to talk of next I cannot imagine.” + + “What think you of books?” said he, smiling. + + “Books—oh! no. I am sure we never read the same, or not with the + same feelings.” + + “I am sorry you think so; but if that be the case, there can at + least be no want of subject. We may compare our different + opinions.” + + “No—I cannot talk of books in a ball-room; my head is always full + of something else.” + + “The _present_ always occupies you in such scenes—does it?” said + he, with a look of doubt. + + “Yes, always,” she replied, without knowing what she said, for + her thoughts had wandered far from the subject, as soon + afterwards appeared by her suddenly exclaiming, “I remember + hearing you once say, Mr. Darcy, that you hardly ever forgave, + that your resentment once created was unappeasable. You are very + cautious, I suppose, as to its _being created?_” + + “I am,” said he, with a firm voice. + + “And never allow yourself to be blinded by prejudice?” + + “I hope not.” + + “It is particularly incumbent on those who never change their + opinion, to be secure of judging properly at first.” + + “May I ask to what these questions tend?” + + “Merely to the illustration of _your_ character,” said she, + endeavouring to shake off her gravity. “I am trying to make it + out.” + + “And what is your success?” + + She shook her head. “I do not get on at all. I hear such + different accounts of you as puzzle me exceedingly.” + + “I can readily believe,” answered he gravely, “that reports may + vary greatly with respect to me; and I could wish, Miss Bennet, + that you were not to sketch my character at the present moment, + as there is reason to fear that the performance would reflect no + credit on either.” + + “But if I do not take your likeness now, I may never have another + opportunity.” + + “I would by no means suspend any pleasure of yours,” he coldly + replied. She said no more, and they went down the other dance and + parted in silence; and on each side dissatisfied, though not to + an equal degree, for in Darcy’s breast there was a tolerably + powerful feeling towards her, which soon procured her pardon, and + directed all his anger against another. + + They had not long separated, when Miss Bingley came towards her, + and with an expression of civil disdain accosted her: + + “So, Miss Eliza, I hear you are quite delighted with George + Wickham! Your sister has been talking to me about him, and asking + me a thousand questions; and I find that the young man quite + forgot to tell you, among his other communication, that he was + the son of old Wickham, the late Mr. Darcy’s steward. Let me + recommend you, however, as a friend, not to give implicit + confidence to all his assertions; for as to Mr. Darcy’s using him + ill, it is perfectly false; for, on the contrary, he has always + been remarkably kind to him, though George Wickham has treated + Mr. Darcy in a most infamous manner. I do not know the + particulars, but I know very well that Mr. Darcy is not in the + least to blame, that he cannot bear to hear George Wickham + mentioned, and that though my brother thought that he could not + well avoid including him in his invitation to the officers, he + was excessively glad to find that he had taken himself out of the + way. His coming into the country at all is a most insolent thing, + indeed, and I wonder how he could presume to do it. I pity you, + Miss Eliza, for this discovery of your favourite’s guilt; but + really, considering his descent, one could not expect much + better.” + + “His guilt and his descent appear by your account to be the + same,” said Elizabeth angrily; “for I have heard you accuse him + of nothing worse than of being the son of Mr. Darcy’s steward, + and of _that_, I can assure you, he informed me himself.” + + “I beg your pardon,” replied Miss Bingley, turning away with a + sneer. “Excuse my interference—it was kindly meant.” + + “Insolent girl!” said Elizabeth to herself. “You are much + mistaken if you expect to influence me by such a paltry attack as + this. I see nothing in it but your own wilful ignorance and the + malice of Mr. Darcy.” She then sought her eldest sister, who had + undertaken to make inquiries on the same subject of Bingley. Jane + met her with a smile of such sweet complacency, a glow of such + happy expression, as sufficiently marked how well she was + satisfied with the occurrences of the evening. Elizabeth + instantly read her feelings, and at that moment solicitude for + Wickham, resentment against his enemies, and everything else, + gave way before the hope of Jane’s being in the fairest way for + happiness. + + “I want to know,” said she, with a countenance no less smiling + than her sister’s, “what you have learnt about Mr. Wickham. But + perhaps you have been too pleasantly engaged to think of any + third person; in which case you may be sure of my pardon.” + + “No,” replied Jane, “I have not forgotten him; but I have nothing + satisfactory to tell you. Mr. Bingley does not know the whole of + his history, and is quite ignorant of the circumstances which + have principally offended Mr. Darcy; but he will vouch for the + good conduct, the probity, and honour of his friend, and is + perfectly convinced that Mr. Wickham has deserved much less + attention from Mr. Darcy than he has received; and I am sorry to + say by his account as well as his sister’s, Mr. Wickham is by no + means a respectable young man. I am afraid he has been very + imprudent, and has deserved to lose Mr. Darcy’s regard.” + + “Mr. Bingley does not know Mr. Wickham himself?” + + “No; he never saw him till the other morning at Meryton.” + + “This account then is what he has received from Mr. Darcy. I am + satisfied. But what does he say of the living?” + + “He does not exactly recollect the circumstances, though he has + heard them from Mr. Darcy more than once, but he believes that it + was left to him _conditionally_ only.” + + “I have not a doubt of Mr. Bingley’s sincerity,” said Elizabeth + warmly; “but you must excuse my not being convinced by assurances + only. Mr. Bingley’s defense of his friend was a very able one, I + dare say; but since he is unacquainted with several parts of the + story, and has learnt the rest from that friend himself, I shall + venture to still think of both gentlemen as I did before.” + + She then changed the discourse to one more gratifying to each, + and on which there could be no difference of sentiment. Elizabeth + listened with delight to the happy, though modest hopes which + Jane entertained of Mr. Bingley’s regard, and said all in her + power to heighten her confidence in it. On their being joined by + Mr. Bingley himself, Elizabeth withdrew to Miss Lucas; to whose + inquiry after the pleasantness of her last partner she had + scarcely replied, before Mr. Collins came up to them, and told + her with great exultation that he had just been so fortunate as + to make a most important discovery. + + “I have found out,” said he, “by a singular accident, that there + is now in the room a near relation of my patroness. I happened to + overhear the gentleman himself mentioning to the young lady who + does the honours of the house the names of his cousin Miss de + Bourgh, and of her mother Lady Catherine. How wonderfully these + sort of things occur! Who would have thought of my meeting with, + perhaps, a nephew of Lady Catherine de Bourgh in this assembly! I + am most thankful that the discovery is made in time for me to pay + my respects to him, which I am now going to do, and trust he will + excuse my not having done it before. My total ignorance of the + connection must plead my apology.” + + “You are not going to introduce yourself to Mr. Darcy!” + + “Indeed I am. I shall entreat his pardon for not having done it + earlier. I believe him to be Lady Catherine’s _nephew_. It will + be in my power to assure him that her ladyship was quite well + yesterday se’nnight.” + + Elizabeth tried hard to dissuade him from such a scheme, assuring + him that Mr. Darcy would consider his addressing him without + introduction as an impertinent freedom, rather than a compliment + to his aunt; that it was not in the least necessary there should + be any notice on either side; and that if it were, it must belong + to Mr. Darcy, the superior in consequence, to begin the + acquaintance. Mr. Collins listened to her with the determined air + of following his own inclination, and, when she ceased speaking, + replied thus: + + “My dear Miss Elizabeth, I have the highest opinion in the world + in your excellent judgement in all matters within the scope of + your understanding; but permit me to say, that there must be a + wide difference between the established forms of ceremony amongst + the laity, and those which regulate the clergy; for, give me + leave to observe that I consider the clerical office as equal in + point of dignity with the highest rank in the kingdom—provided + that a proper humility of behaviour is at the same time + maintained. You must therefore allow me to follow the dictates of + my conscience on this occasion, which leads me to perform what I + look on as a point of duty. Pardon me for neglecting to profit by + your advice, which on every other subject shall be my constant + guide, though in the case before us I consider myself more fitted + by education and habitual study to decide on what is right than a + young lady like yourself.” And with a low bow he left her to + attack Mr. Darcy, whose reception of his advances she eagerly + watched, and whose astonishment at being so addressed was very + evident. Her cousin prefaced his speech with a solemn bow and + though she could not hear a word of it, she felt as if hearing it + all, and saw in the motion of his lips the words “apology,” + “Hunsford,” and “Lady Catherine de Bourgh.” It vexed her to see + him expose himself to such a man. Mr. Darcy was eyeing him with + unrestrained wonder, and when at last Mr. Collins allowed him + time to speak, replied with an air of distant civility. Mr. + Collins, however, was not discouraged from speaking again, and + Mr. Darcy’s contempt seemed abundantly increasing with the length + of his second speech, and at the end of it he only made him a + slight bow, and moved another way. Mr. Collins then returned to + Elizabeth. + + “I have no reason, I assure you,” said he, “to be dissatisfied + with my reception. Mr. Darcy seemed much pleased with the + attention. He answered me with the utmost civility, and even paid + me the compliment of saying that he was so well convinced of Lady + Catherine’s discernment as to be certain she could never bestow a + favour unworthily. It was really a very handsome thought. Upon + the whole, I am much pleased with him.” + + As Elizabeth had no longer any interest of her own to pursue, she + turned her attention almost entirely on her sister and Mr. + Bingley; and the train of agreeable reflections which her + observations gave birth to, made her perhaps almost as happy as + Jane. She saw her in idea settled in that very house, in all the + felicity which a marriage of true affection could bestow; and she + felt capable, under such circumstances, of endeavouring even to + like Bingley’s two sisters. Her mother’s thoughts she plainly saw + were bent the same way, and she determined not to venture near + her, lest she might hear too much. When they sat down to supper, + therefore, she considered it a most unlucky perverseness which + placed them within one of each other; and deeply was she vexed to + find that her mother was talking to that one person (Lady Lucas) + freely, openly, and of nothing else but her expectation that Jane + would soon be married to Mr. Bingley. It was an animating + subject, and Mrs. Bennet seemed incapable of fatigue while + enumerating the advantages of the match. His being such a + charming young man, and so rich, and living but three miles from + them, were the first points of self-gratulation; and then it was + such a comfort to think how fond the two sisters were of Jane, + and to be certain that they must desire the connection as much as + she could do. It was, moreover, such a promising thing for her + younger daughters, as Jane’s marrying so greatly must throw them + in the way of other rich men; and lastly, it was so pleasant at + her time of life to be able to consign her single daughters to + the care of their sister, that she might not be obliged to go + into company more than she liked. It was necessary to make this + circumstance a matter of pleasure, because on such occasions it + is the etiquette; but no one was less likely than Mrs. Bennet to + find comfort in staying home at any period of her life. She + concluded with many good wishes that Lady Lucas might soon be + equally fortunate, though evidently and triumphantly believing + there was no chance of it. + + In vain did Elizabeth endeavour to check the rapidity of her + mother’s words, or persuade her to describe her felicity in a + less audible whisper; for, to her inexpressible vexation, she + could perceive that the chief of it was overheard by Mr. Darcy, + who sat opposite to them. Her mother only scolded her for being + nonsensical. + + “What is Mr. Darcy to me, pray, that I should be afraid of him? I + am sure we owe him no such particular civility as to be obliged + to say nothing _he_ may not like to hear.” + + “For heaven’s sake, madam, speak lower. What advantage can it be + for you to offend Mr. Darcy? You will never recommend yourself to + his friend by so doing!” + + Nothing that she could say, however, had any influence. Her + mother would talk of her views in the same intelligible tone. + Elizabeth blushed and blushed again with shame and vexation. She + could not help frequently glancing her eye at Mr. Darcy, though + every glance convinced her of what she dreaded; for though he was + not always looking at her mother, she was convinced that his + attention was invariably fixed by her. The expression of his face + changed gradually from indignant contempt to a composed and + steady gravity. + + At length, however, Mrs. Bennet had no more to say; and Lady + Lucas, who had been long yawning at the repetition of delights + which she saw no likelihood of sharing, was left to the comforts + of cold ham and chicken. Elizabeth now began to revive. But not + long was the interval of tranquillity; for, when supper was over, + singing was talked of, and she had the mortification of seeing + Mary, after very little entreaty, preparing to oblige the + company. By many significant looks and silent entreaties, did she + endeavour to prevent such a proof of complaisance, but in vain; + Mary would not understand them; such an opportunity of exhibiting + was delightful to her, and she began her song. Elizabeth’s eyes + were fixed on her with most painful sensations, and she watched + her progress through the several stanzas with an impatience which + was very ill rewarded at their close; for Mary, on receiving, + amongst the thanks of the table, the hint of a hope that she + might be prevailed on to favour them again, after the pause of + half a minute began another. Mary’s powers were by no means + fitted for such a display; her voice was weak, and her manner + affected. Elizabeth was in agonies. She looked at Jane, to see + how she bore it; but Jane was very composedly talking to Bingley. + She looked at his two sisters, and saw them making signs of + derision at each other, and at Darcy, who continued, however, + imperturbably grave. She looked at her father to entreat his + interference, lest Mary should be singing all night. He took the + hint, and when Mary had finished her second song, said aloud, + “That will do extremely well, child. You have delighted us long + enough. Let the other young ladies have time to exhibit.” + + Mary, though pretending not to hear, was somewhat disconcerted; + and Elizabeth, sorry for her, and sorry for her father’s speech, + was afraid her anxiety had done no good. Others of the party were + now applied to. + + “If I,” said Mr. Collins, “were so fortunate as to be able to + sing, I should have great pleasure, I am sure, in obliging the + company with an air; for I consider music as a very innocent + diversion, and perfectly compatible with the profession of a + clergyman. I do not mean, however, to assert that we can be + justified in devoting too much of our time to music, for there + are certainly other things to be attended to. The rector of a + parish has much to do. In the first place, he must make such an + agreement for tithes as may be beneficial to himself and not + offensive to his patron. He must write his own sermons; and the + time that remains will not be too much for his parish duties, and + the care and improvement of his dwelling, which he cannot be + excused from making as comfortable as possible. And I do not + think it of light importance that he should have attentive and + conciliatory manners towards everybody, especially towards those + to whom he owes his preferment. I cannot acquit him of that duty; + nor could I think well of the man who should omit an occasion of + testifying his respect towards anybody connected with the + family.” And with a bow to Mr. Darcy, he concluded his speech, + which had been spoken so loud as to be heard by half the room. + Many stared—many smiled; but no one looked more amused than Mr. + Bennet himself, while his wife seriously commended Mr. Collins + for having spoken so sensibly, and observed in a half-whisper to + Lady Lucas, that he was a remarkably clever, good kind of young + man. + + To Elizabeth it appeared that, had her family made an agreement + to expose themselves as much as they could during the evening, it + would have been impossible for them to play their parts with more + spirit or finer success; and happy did she think it for Bingley + and her sister that some of the exhibition had escaped his + notice, and that his feelings were not of a sort to be much + distressed by the folly which he must have witnessed. That his + two sisters and Mr. Darcy, however, should have such an + opportunity of ridiculing her relations, was bad enough, and she + could not determine whether the silent contempt of the gentleman, + or the insolent smiles of the ladies, were more intolerable. + + The rest of the evening brought her little amusement. She was + teased by Mr. Collins, who continued most perseveringly by her + side, and though he could not prevail on her to dance with him + again, put it out of her power to dance with others. In vain did + she entreat him to stand up with somebody else, and offer to + introduce him to any young lady in the room. He assured her, that + as to dancing, he was perfectly indifferent to it; that his chief + object was by delicate attentions to recommend himself to her and + that he should therefore make a point of remaining close to her + the whole evening. There was no arguing upon such a project. She + owed her greatest relief to her friend Miss Lucas, who often + joined them, and good-naturedly engaged Mr. Collins’s + conversation to herself. + + She was at least free from the offense of Mr. Darcy’s further + notice; though often standing within a very short distance of + her, quite disengaged, he never came near enough to speak. She + felt it to be the probable consequence of her allusions to Mr. + Wickham, and rejoiced in it. + + The Longbourn party were the last of all the company to depart, + and, by a manoeuvre of Mrs. Bennet, had to wait for their + carriage a quarter of an hour after everybody else was gone, + which gave them time to see how heartily they were wished away by + some of the family. Mrs. Hurst and her sister scarcely opened + their mouths, except to complain of fatigue, and were evidently + impatient to have the house to themselves. They repulsed every + attempt of Mrs. Bennet at conversation, and by so doing threw a + languor over the whole party, which was very little relieved by + the long speeches of Mr. Collins, who was complimenting Mr. + Bingley and his sisters on the elegance of their entertainment, + and the hospitality and politeness which had marked their + behaviour to their guests. Darcy said nothing at all. Mr. Bennet, + in equal silence, was enjoying the scene. Mr. Bingley and Jane + were standing together, a little detached from the rest, and + talked only to each other. Elizabeth preserved as steady a + silence as either Mrs. Hurst or Miss Bingley; and even Lydia was + too much fatigued to utter more than the occasional exclamation + of “Lord, how tired I am!” accompanied by a violent yawn. + + When at length they arose to take leave, Mrs. Bennet was most + pressingly civil in her hope of seeing the whole family soon at + Longbourn, and addressed herself especially to Mr. Bingley, to + assure him how happy he would make them by eating a family dinner + with them at any time, without the ceremony of a formal + invitation. Bingley was all grateful pleasure, and he readily + engaged for taking the earliest opportunity of waiting on her, + after his return from London, whither he was obliged to go the + next day for a short time. + + Mrs. Bennet was perfectly satisfied, and quitted the house under + the delightful persuasion that, allowing for the necessary + preparations of settlements, new carriages, and wedding clothes, + she should undoubtedly see her daughter settled at Netherfield in + the course of three or four months. Of having another daughter + married to Mr. Collins, she thought with equal certainty, and + with considerable, though not equal, pleasure. Elizabeth was the + least dear to her of all her children; and though the man and the + match were quite good enough for _her_, the worth of each was + eclipsed by Mr. Bingley and Netherfield. + + + + + Chapter 19 + + The next day opened a new scene at Longbourn. Mr. Collins made + his declaration in form. Having resolved to do it without loss of + time, as his leave of absence extended only to the following + Saturday, and having no feelings of diffidence to make it + distressing to himself even at the moment, he set about it in a + very orderly manner, with all the observances, which he supposed + a regular part of the business. On finding Mrs. Bennet, + Elizabeth, and one of the younger girls together, soon after + breakfast, he addressed the mother in these words: + + “May I hope, madam, for your interest with your fair daughter + Elizabeth, when I solicit for the honour of a private audience + with her in the course of this morning?” + + Before Elizabeth had time for anything but a blush of surprise, + Mrs. Bennet answered instantly, “Oh dear!—yes—certainly. I am + sure Lizzy will be very happy—I am sure she can have no + objection. Come, Kitty, I want you up stairs.” And, gathering her + work together, she was hastening away, when Elizabeth called out: + + “Dear madam, do not go. I beg you will not go. Mr. Collins must + excuse me. He can have nothing to say to me that anybody need not + hear. I am going away myself.” + + “No, no, nonsense, Lizzy. I desire you to stay where you are.” + And upon Elizabeth’s seeming really, with vexed and embarrassed + looks, about to escape, she added: “Lizzy, I _insist_ upon your + staying and hearing Mr. Collins.” + + Elizabeth would not oppose such an injunction—and a moment’s + consideration making her also sensible that it would be wisest to + get it over as soon and as quietly as possible, she sat down + again and tried to conceal, by incessant employment the feelings + which were divided between distress and diversion. Mrs. Bennet + and Kitty walked off, and as soon as they were gone, Mr. Collins + began. + + “Believe me, my dear Miss Elizabeth, that your modesty, so far + from doing you any disservice, rather adds to your other + perfections. You would have been less amiable in my eyes had + there _not_ been this little unwillingness; but allow me to + assure you, that I have your respected mother’s permission for + this address. You can hardly doubt the purport of my discourse, + however your natural delicacy may lead you to dissemble; my + attentions have been too marked to be mistaken. Almost as soon as + I entered the house, I singled you out as the companion of my + future life. But before I am run away with by my feelings on this + subject, perhaps it would be advisable for me to state my reasons + for marrying—and, moreover, for coming into Hertfordshire with + the design of selecting a wife, as I certainly did.” + + The idea of Mr. Collins, with all his solemn composure, being run + away with by his feelings, made Elizabeth so near laughing, that + she could not use the short pause he allowed in any attempt to + stop him further, and he continued: + + “My reasons for marrying are, first, that I think it a right + thing for every clergyman in easy circumstances (like myself) to + set the example of matrimony in his parish; secondly, that I am + convinced that it will add very greatly to my happiness; and + thirdly—which perhaps I ought to have mentioned earlier, that it + is the particular advice and recommendation of the very noble + lady whom I have the honour of calling patroness. Twice has she + condescended to give me her opinion (unasked too!) on this + subject; and it was but the very Saturday night before I left + Hunsford—between our pools at quadrille, while Mrs. Jenkinson was + arranging Miss de Bourgh’s footstool, that she said, ‘Mr. + Collins, you must marry. A clergyman like you must marry. Choose + properly, choose a gentlewoman for _my_ sake; and for your _own_, + let her be an active, useful sort of person, not brought up high, + but able to make a small income go a good way. This is my advice. + Find such a woman as soon as you can, bring her to Hunsford, and + I will visit her.’ Allow me, by the way, to observe, my fair + cousin, that I do not reckon the notice and kindness of Lady + Catherine de Bourgh as among the least of the advantages in my + power to offer. You will find her manners beyond anything I can + describe; and your wit and vivacity, I think, must be acceptable + to her, especially when tempered with the silence and respect + which her rank will inevitably excite. Thus much for my general + intention in favour of matrimony; it remains to be told why my + views were directed towards Longbourn instead of my own + neighbourhood, where I can assure you there are many amiable + young women. But the fact is, that being, as I am, to inherit + this estate after the death of your honoured father (who, + however, may live many years longer), I could not satisfy myself + without resolving to choose a wife from among his daughters, that + the loss to them might be as little as possible, when the + melancholy event takes place—which, however, as I have already + said, may not be for several years. This has been my motive, my + fair cousin, and I flatter myself it will not sink me in your + esteem. And now nothing remains for me but to assure you in the + most animated language of the violence of my affection. To + fortune I am perfectly indifferent, and shall make no demand of + that nature on your father, since I am well aware that it could + not be complied with; and that one thousand pounds in the four + per cents, which will not be yours till after your mother’s + decease, is all that you may ever be entitled to. On that head, + therefore, I shall be uniformly silent; and you may assure + yourself that no ungenerous reproach shall ever pass my lips when + we are married.” + + It was absolutely necessary to interrupt him now. + + “You are too hasty, sir,” she cried. “You forget that I have made + no answer. Let me do it without further loss of time. Accept my + thanks for the compliment you are paying me. I am very sensible + of the honour of your proposals, but it is impossible for me to + do otherwise than to decline them.” + + “I am not now to learn,” replied Mr. Collins, with a formal wave + of the hand, “that it is usual with young ladies to reject the + addresses of the man whom they secretly mean to accept, when he + first applies for their favour; and that sometimes the refusal is + repeated a second, or even a third time. I am therefore by no + means discouraged by what you have just said, and shall hope to + lead you to the altar ere long.” + + “Upon my word, sir,” cried Elizabeth, “your hope is a rather + extraordinary one after my declaration. I do assure you that I am + not one of those young ladies (if such young ladies there are) + who are so daring as to risk their happiness on the chance of + being asked a second time. I am perfectly serious in my refusal. + You could not make _me_ happy, and I am convinced that I am the + last woman in the world who could make you so. Nay, were your + friend Lady Catherine to know me, I am persuaded she would find + me in every respect ill qualified for the situation.” + + “Were it certain that Lady Catherine would think so,” said Mr. + Collins very gravely—“but I cannot imagine that her ladyship + would at all disapprove of you. And you may be certain when I + have the honour of seeing her again, I shall speak in the very + highest terms of your modesty, economy, and other amiable + qualification.” + + “Indeed, Mr. Collins, all praise of me will be unnecessary. You + must give me leave to judge for myself, and pay me the compliment + of believing what I say. I wish you very happy and very rich, and + by refusing your hand, do all in my power to prevent your being + otherwise. In making me the offer, you must have satisfied the + delicacy of your feelings with regard to my family, and may take + possession of Longbourn estate whenever it falls, without any + self-reproach. This matter may be considered, therefore, as + finally settled.” And rising as she thus spoke, she would have + quitted the room, had Mr. Collins not thus addressed her: + + “When I do myself the honour of speaking to you next on the + subject, I shall hope to receive a more favourable answer than + you have now given me; though I am far from accusing you of + cruelty at present, because I know it to be the established + custom of your sex to reject a man on the first application, and + perhaps you have even now said as much to encourage my suit as + would be consistent with the true delicacy of the female + character.” + + “Really, Mr. Collins,” cried Elizabeth with some warmth, “you + puzzle me exceedingly. If what I have hitherto said can appear to + you in the form of encouragement, I know not how to express my + refusal in such a way as to convince you of its being one.” + + “You must give me leave to flatter myself, my dear cousin, that + your refusal of my addresses is merely words of course. My + reasons for believing it are briefly these: It does not appear to + me that my hand is unworthy of your acceptance, or that the + establishment I can offer would be any other than highly + desirable. My situation in life, my connections with the family + of de Bourgh, and my relationship to your own, are circumstances + highly in my favour; and you should take it into further + consideration, that in spite of your manifold attractions, it is + by no means certain that another offer of marriage may ever be + made you. Your portion is unhappily so small that it will in all + likelihood undo the effects of your loveliness and amiable + qualifications. As I must therefore conclude that you are not + serious in your rejection of me, I shall choose to attribute it + to your wish of increasing my love by suspense, according to the + usual practice of elegant females.” + + “I do assure you, sir, that I have no pretensions whatever to + that kind of elegance which consists in tormenting a respectable + man. I would rather be paid the compliment of being believed + sincere. I thank you again and again for the honour you have done + me in your proposals, but to accept them is absolutely + impossible. My feelings in every respect forbid it. Can I speak + plainer? Do not consider me now as an elegant female, intending + to plague you, but as a rational creature, speaking the truth + from her heart.” + + “You are uniformly charming!” cried he, with an air of awkward + gallantry; “and I am persuaded that when sanctioned by the + express authority of both your excellent parents, my proposals + will not fail of being acceptable.” + + To such perseverance in wilful self-deception Elizabeth would + make no reply, and immediately and in silence withdrew; + determined, if he persisted in considering her repeated refusals + as flattering encouragement, to apply to her father, whose + negative might be uttered in such a manner as to be decisive, and + whose behaviour at least could not be mistaken for the + affectation and coquetry of an elegant female. + + + + + Chapter 20 + + Mr. Collins was not left long to the silent contemplation of his + successful love; for Mrs. Bennet, having dawdled about in the + vestibule to watch for the end of the conference, no sooner saw + Elizabeth open the door and with quick step pass her towards the + staircase, than she entered the breakfast-room, and congratulated + both him and herself in warm terms on the happy prospect of their + nearer connection. Mr. Collins received and returned these + felicitations with equal pleasure, and then proceeded to relate + the particulars of their interview, with the result of which he + trusted he had every reason to be satisfied, since the refusal + which his cousin had steadfastly given him would naturally flow + from her bashful modesty and the genuine delicacy of her + character. + + This information, however, startled Mrs. Bennet; she would have + been glad to be equally satisfied that her daughter had meant to + encourage him by protesting against his proposals, but she dared + not believe it, and could not help saying so. + + “But, depend upon it, Mr. Collins,” she added, “that Lizzy shall + be brought to reason. I will speak to her about it directly. She + is a very headstrong, foolish girl, and does not know her own + interest but I will _make_ her know it.” + + “Pardon me for interrupting you, madam,” cried Mr. Collins; “but + if she is really headstrong and foolish, I know not whether she + would altogether be a very desirable wife to a man in my + situation, who naturally looks for happiness in the marriage + state. If therefore she actually persists in rejecting my suit, + perhaps it were better not to force her into accepting me, + because if liable to such defects of temper, she could not + contribute much to my felicity.” + + “Sir, you quite misunderstand me,” said Mrs. Bennet, alarmed. + “Lizzy is only headstrong in such matters as these. In everything + else she is as good-natured a girl as ever lived. I will go + directly to Mr. Bennet, and we shall very soon settle it with + her, I am sure.” + + She would not give him time to reply, but hurrying instantly to + her husband, called out as she entered the library, “Oh! Mr. + Bennet, you are wanted immediately; we are all in an uproar. You + must come and make Lizzy marry Mr. Collins, for she vows she will + not have him, and if you do not make haste he will change his + mind and not have _her_.” + + Mr. Bennet raised his eyes from his book as she entered, and + fixed them on her face with a calm unconcern which was not in the + least altered by her communication. + + “I have not the pleasure of understanding you,” said he, when she + had finished her speech. “Of what are you talking?” + + “Of Mr. Collins and Lizzy. Lizzy declares she will not have Mr. + Collins, and Mr. Collins begins to say that he will not have + Lizzy.” + + “And what am I to do on the occasion? It seems an hopeless + business.” + + “Speak to Lizzy about it yourself. Tell her that you insist upon + her marrying him.” + + “Let her be called down. She shall hear my opinion.” + + Mrs. Bennet rang the bell, and Miss Elizabeth was summoned to the + library. + + “Come here, child,” cried her father as she appeared. “I have + sent for you on an affair of importance. I understand that Mr. + Collins has made you an offer of marriage. Is it true?” Elizabeth + replied that it was. “Very well—and this offer of marriage you + have refused?” + + “I have, sir.” + + “Very well. We now come to the point. Your mother insists upon + your accepting it. Is it not so, Mrs. Bennet?” + + “Yes, or I will never see her again.” + + “An unhappy alternative is before you, Elizabeth. From this day + you must be a stranger to one of your parents. Your mother will + never see you again if you do _not_ marry Mr. Collins, and I will + never see you again if you _do_.” + + Elizabeth could not but smile at such a conclusion of such a + beginning, but Mrs. Bennet, who had persuaded herself that her + husband regarded the affair as she wished, was excessively + disappointed. + + “What do you mean, Mr. Bennet, in talking this way? You promised + me to _insist_ upon her marrying him.” + + “My dear,” replied her husband, “I have two small favours to + request. First, that you will allow me the free use of my + understanding on the present occasion; and secondly, of my room. + I shall be glad to have the library to myself as soon as may be.” + + Not yet, however, in spite of her disappointment in her husband, + did Mrs. Bennet give up the point. She talked to Elizabeth again + and again; coaxed and threatened her by turns. She endeavoured to + secure Jane in her interest; but Jane, with all possible + mildness, declined interfering; and Elizabeth, sometimes with + real earnestness, and sometimes with playful gaiety, replied to + her attacks. Though her manner varied, however, her determination + never did. + + Mr. Collins, meanwhile, was meditating in solitude on what had + passed. He thought too well of himself to comprehend on what + motives his cousin could refuse him; and though his pride was + hurt, he suffered in no other way. His regard for her was quite + imaginary; and the possibility of her deserving her mother’s + reproach prevented his feeling any regret. + + While the family were in this confusion, Charlotte Lucas came to + spend the day with them. She was met in the vestibule by Lydia, + who, flying to her, cried in a half whisper, “I am glad you are + come, for there is such fun here! What do you think has happened + this morning? Mr. Collins has made an offer to Lizzy, and she + will not have him.” + + Charlotte hardly had time to answer, before they were joined by + Kitty, who came to tell the same news; and no sooner had they + entered the breakfast-room, where Mrs. Bennet was alone, than she + likewise began on the subject, calling on Miss Lucas for her + compassion, and entreating her to persuade her friend Lizzy to + comply with the wishes of all her family. “Pray do, my dear Miss + Lucas,” she added in a melancholy tone, “for nobody is on my + side, nobody takes part with me. I am cruelly used, nobody feels + for my poor nerves.” + + Charlotte’s reply was spared by the entrance of Jane and + Elizabeth. + + “Aye, there she comes,” continued Mrs. Bennet, “looking as + unconcerned as may be, and caring no more for us than if we were + at York, provided she can have her own way. But I tell you, Miss + Lizzy—if you take it into your head to go on refusing every offer + of marriage in this way, you will never get a husband at all—and + I am sure I do not know who is to maintain you when your father + is dead. _I_ shall not be able to keep you—and so I warn you. I + have done with you from this very day. I told you in the library, + you know, that I should never speak to you again, and you will + find me as good as my word. I have no pleasure in talking to + undutiful children. Not that I have much pleasure, indeed, in + talking to anybody. People who suffer as I do from nervous + complaints can have no great inclination for talking. Nobody can + tell what I suffer! But it is always so. Those who do not + complain are never pitied.” + + Her daughters listened in silence to this effusion, sensible that + any attempt to reason with her or soothe her would only increase + the irritation. She talked on, therefore, without interruption + from any of them, till they were joined by Mr. Collins, who + entered the room with an air more stately than usual, and on + perceiving whom, she said to the girls, “Now, I do insist upon + it, that you, all of you, hold your tongues, and let me and Mr. + Collins have a little conversation together.” + + Elizabeth passed quietly out of the room, Jane and Kitty + followed, but Lydia stood her ground, determined to hear all she + could; and Charlotte, detained first by the civility of Mr. + Collins, whose inquiries after herself and all her family were + very minute, and then by a little curiosity, satisfied herself + with walking to the window and pretending not to hear. In a + doleful voice Mrs. Bennet began the projected conversation: “Oh! + Mr. Collins!” + + “My dear madam,” replied he, “let us be for ever silent on this + point. Far be it from me,” he presently continued, in a voice + that marked his displeasure, “to resent the behaviour of your + daughter. Resignation to inevitable evils is the duty of us all; + the peculiar duty of a young man who has been so fortunate as I + have been in early preferment; and I trust I am resigned. Perhaps + not the less so from feeling a doubt of my positive happiness had + my fair cousin honoured me with her hand; for I have often + observed that resignation is never so perfect as when the + blessing denied begins to lose somewhat of its value in our + estimation. You will not, I hope, consider me as showing any + disrespect to your family, my dear madam, by thus withdrawing my + pretensions to your daughter’s favour, without having paid + yourself and Mr. Bennet the compliment of requesting you to + interpose your authority in my behalf. My conduct may, I fear, be + objectionable in having accepted my dismission from your + daughter’s lips instead of your own. But we are all liable to + error. I have certainly meant well through the whole affair. My + object has been to secure an amiable companion for myself, with + due consideration for the advantage of all your family, and if my + _manner_ has been at all reprehensible, I here beg leave to + apologise.” + + + + + Chapter 21 + + The discussion of Mr. Collins’s offer was now nearly at an end, + and Elizabeth had only to suffer from the uncomfortable feelings + necessarily attending it, and occasionally from some peevish + allusions of her mother. As for the gentleman himself, _his_ + feelings were chiefly expressed, not by embarrassment or + dejection, or by trying to avoid her, but by stiffness of manner + and resentful silence. He scarcely ever spoke to her, and the + assiduous attentions which he had been so sensible of himself + were transferred for the rest of the day to Miss Lucas, whose + civility in listening to him was a seasonable relief to them all, + and especially to her friend. + + The morrow produced no abatement of Mrs. Bennet’s ill-humour or + ill health. Mr. Collins was also in the same state of angry + pride. Elizabeth had hoped that his resentment might shorten his + visit, but his plan did not appear in the least affected by it. + He was always to have gone on Saturday, and to Saturday he meant + to stay. + + After breakfast, the girls walked to Meryton to inquire if Mr. + Wickham were returned, and to lament over his absence from the + Netherfield ball. He joined them on their entering the town, and + attended them to their aunt’s where his regret and vexation, and + the concern of everybody, was well talked over. To Elizabeth, + however, he voluntarily acknowledged that the necessity of his + absence _had_ been self-imposed. + + “I found,” said he, “as the time drew near that I had better not + meet Mr. Darcy; that to be in the same room, the same party with + him for so many hours together, might be more than I could bear, + and that scenes might arise unpleasant to more than myself.” + + She highly approved his forbearance, and they had leisure for a + full discussion of it, and for all the commendation which they + civilly bestowed on each other, as Wickham and another officer + walked back with them to Longbourn, and during the walk he + particularly attended to her. His accompanying them was a double + advantage; she felt all the compliment it offered to herself, and + it was most acceptable as an occasion of introducing him to her + father and mother. + + Soon after their return, a letter was delivered to Miss Bennet; + it came from Netherfield. The envelope contained a sheet of + elegant, little, hot-pressed paper, well covered with a lady’s + fair, flowing hand; and Elizabeth saw her sister’s countenance + change as she read it, and saw her dwelling intently on some + particular passages. Jane recollected herself soon, and putting + the letter away, tried to join with her usual cheerfulness in the + general conversation; but Elizabeth felt an anxiety on the + subject which drew off her attention even from Wickham; and no + sooner had he and his companion taken leave, than a glance from + Jane invited her to follow her up stairs. When they had gained + their own room, Jane, taking out the letter, said: + + “This is from Caroline Bingley; what it contains has surprised me + a good deal. The whole party have left Netherfield by this time, + and are on their way to town—and without any intention of coming + back again. You shall hear what she says.” + + She then read the first sentence aloud, which comprised the + information of their having just resolved to follow their brother + to town directly, and of their meaning to dine in Grosvenor + Street, where Mr. Hurst had a house. The next was in these words: + “I do not pretend to regret anything I shall leave in + Hertfordshire, except your society, my dearest friend; but we + will hope, at some future period, to enjoy many returns of that + delightful intercourse we have known, and in the meanwhile may + lessen the pain of separation by a very frequent and most + unreserved correspondence. I depend on you for that.” To these + highflown expressions Elizabeth listened with all the + insensibility of distrust; and though the suddenness of their + removal surprised her, she saw nothing in it really to lament; it + was not to be supposed that their absence from Netherfield would + prevent Mr. Bingley’s being there; and as to the loss of their + society, she was persuaded that Jane must cease to regard it, in + the enjoyment of his. + + “It is unlucky,” said she, after a short pause, “that you should + not be able to see your friends before they leave the country. + But may we not hope that the period of future happiness to which + Miss Bingley looks forward may arrive earlier than she is aware, + and that the delightful intercourse you have known as friends + will be renewed with yet greater satisfaction as sisters? Mr. + Bingley will not be detained in London by them.” + + “Caroline decidedly says that none of the party will return into + Hertfordshire this winter. I will read it to you:” + + “When my brother left us yesterday, he imagined that the business + which took him to London might be concluded in three or four + days; but as we are certain it cannot be so, and at the same time + convinced that when Charles gets to town he will be in no hurry + to leave it again, we have determined on following him thither, + that he may not be obliged to spend his vacant hours in a + comfortless hotel. Many of my acquaintances are already there for + the winter; I wish that I could hear that you, my dearest friend, + had any intention of making one of the crowd—but of that I + despair. I sincerely hope your Christmas in Hertfordshire may + abound in the gaieties which that season generally brings, and + that your beaux will be so numerous as to prevent your feeling + the loss of the three of whom we shall deprive you.” + + “It is evident by this,” added Jane, “that he comes back no more + this winter.” + + “It is only evident that Miss Bingley does not mean that he + _should_.” + + “Why will you think so? It must be his own doing. He is his own + master. But you do not know _all_. I _will_ read you the passage + which particularly hurts me. I will have no reserves from _you_.” + + “Mr. Darcy is impatient to see his sister; and, to confess the + truth, _we_ are scarcely less eager to meet her again. I really + do not think Georgiana Darcy has her equal for beauty, elegance, + and accomplishments; and the affection she inspires in Louisa and + myself is heightened into something still more interesting, from + the hope we dare entertain of her being hereafter our sister. I + do not know whether I ever before mentioned to you my feelings on + this subject; but I will not leave the country without confiding + them, and I trust you will not esteem them unreasonable. My + brother admires her greatly already; he will have frequent + opportunity now of seeing her on the most intimate footing; her + relations all wish the connection as much as his own; and a + sister’s partiality is not misleading me, I think, when I call + Charles most capable of engaging any woman’s heart. With all + these circumstances to favour an attachment, and nothing to + prevent it, am I wrong, my dearest Jane, in indulging the hope of + an event which will secure the happiness of so many?” + + “What do you think of _this_ sentence, my dear Lizzy?” said Jane + as she finished it. “Is it not clear enough? Does it not + expressly declare that Caroline neither expects nor wishes me to + be her sister; that she is perfectly convinced of her brother’s + indifference; and that if she suspects the nature of my feelings + for him, she means (most kindly!) to put me on my guard? Can + there be any other opinion on the subject?” + + “Yes, there can; for mine is totally different. Will you hear + it?” + + “Most willingly.” + + “You shall have it in a few words. Miss Bingley sees that her + brother is in love with you, and wants him to marry Miss Darcy. + She follows him to town in hope of keeping him there, and tries + to persuade you that he does not care about you.” + + Jane shook her head. + + “Indeed, Jane, you ought to believe me. No one who has ever seen + you together can doubt his affection. Miss Bingley, I am sure, + cannot. She is not such a simpleton. Could she have seen half as + much love in Mr. Darcy for herself, she would have ordered her + wedding clothes. But the case is this: We are not rich enough or + grand enough for them; and she is the more anxious to get Miss + Darcy for her brother, from the notion that when there has been + _one_ intermarriage, she may have less trouble in achieving a + second; in which there is certainly some ingenuity, and I dare + say it would succeed, if Miss de Bourgh were out of the way. But, + my dearest Jane, you cannot seriously imagine that because Miss + Bingley tells you her brother greatly admires Miss Darcy, he is + in the smallest degree less sensible of _your_ merit than when he + took leave of you on Tuesday, or that it will be in her power to + persuade him that, instead of being in love with you, he is very + much in love with her friend.” + + “If we thought alike of Miss Bingley,” replied Jane, “your + representation of all this might make me quite easy. But I know + the foundation is unjust. Caroline is incapable of wilfully + deceiving anyone; and all that I can hope in this case is that + she is deceiving herself.” + + “That is right. You could not have started a more happy idea, + since you will not take comfort in mine. Believe her to be + deceived, by all means. You have now done your duty by her, and + must fret no longer.” + + “But, my dear sister, can I be happy, even supposing the best, in + accepting a man whose sisters and friends are all wishing him to + marry elsewhere?” + + “You must decide for yourself,” said Elizabeth; “and if, upon + mature deliberation, you find that the misery of disobliging his + two sisters is more than equivalent to the happiness of being his + wife, I advise you by all means to refuse him.” + + “How can you talk so?” said Jane, faintly smiling. “You must know + that though I should be exceedingly grieved at their + disapprobation, I could not hesitate.” + + “I did not think you would; and that being the case, I cannot + consider your situation with much compassion.” + + “But if he returns no more this winter, my choice will never be + required. A thousand things may arise in six months!” + + The idea of his returning no more Elizabeth treated with the + utmost contempt. It appeared to her merely the suggestion of + Caroline’s interested wishes, and she could not for a moment + suppose that those wishes, however openly or artfully spoken, + could influence a young man so totally independent of everyone. + + She represented to her sister as forcibly as possible what she + felt on the subject, and had soon the pleasure of seeing its + happy effect. Jane’s temper was not desponding, and she was + gradually led to hope, though the diffidence of affection + sometimes overcame the hope, that Bingley would return to + Netherfield and answer every wish of her heart. + + They agreed that Mrs. Bennet should only hear of the departure of + the family, without being alarmed on the score of the gentleman’s + conduct; but even this partial communication gave her a great + deal of concern, and she bewailed it as exceedingly unlucky that + the ladies should happen to go away just as they were all getting + so intimate together. After lamenting it, however, at some + length, she had the consolation that Mr. Bingley would be soon + down again and soon dining at Longbourn, and the conclusion of + all was the comfortable declaration, that though he had been + invited only to a family dinner, she would take care to have two + full courses. + + + + + Chapter 22 + + The Bennets were engaged to dine with the Lucases and again + during the chief of the day was Miss Lucas so kind as to listen + to Mr. Collins. Elizabeth took an opportunity of thanking her. + “It keeps him in good humour,” said she, “and I am more obliged + to you than I can express.” Charlotte assured her friend of her + satisfaction in being useful, and that it amply repaid her for + the little sacrifice of her time. This was very amiable, but + Charlotte’s kindness extended farther than Elizabeth had any + conception of; its object was nothing else than to secure her + from any return of Mr. Collins’s addresses, by engaging them + towards herself. Such was Miss Lucas’s scheme; and appearances + were so favourable, that when they parted at night, she would + have felt almost secure of success if he had not been to leave + Hertfordshire so very soon. But here she did injustice to the + fire and independence of his character, for it led him to escape + out of Longbourn House the next morning with admirable slyness, + and hasten to Lucas Lodge to throw himself at her feet. He was + anxious to avoid the notice of his cousins, from a conviction + that if they saw him depart, they could not fail to conjecture + his design, and he was not willing to have the attempt known till + its success might be known likewise; for though feeling almost + secure, and with reason, for Charlotte had been tolerably + encouraging, he was comparatively diffident since the adventure + of Wednesday. His reception, however, was of the most flattering + kind. Miss Lucas perceived him from an upper window as he walked + towards the house, and instantly set out to meet him accidentally + in the lane. But little had she dared to hope that so much love + and eloquence awaited her there. + + In as short a time as Mr. Collins’s long speeches would allow, + everything was settled between them to the satisfaction of both; + and as they entered the house he earnestly entreated her to name + the day that was to make him the happiest of men; and though such + a solicitation must be waived for the present, the lady felt no + inclination to trifle with his happiness. The stupidity with + which he was favoured by nature must guard his courtship from any + charm that could make a woman wish for its continuance; and Miss + Lucas, who accepted him solely from the pure and disinterested + desire of an establishment, cared not how soon that establishment + were gained. + + Sir William and Lady Lucas were speedily applied to for their + consent; and it was bestowed with a most joyful alacrity. Mr. + Collins’s present circumstances made it a most eligible match for + their daughter, to whom they could give little fortune; and his + prospects of future wealth were exceedingly fair. Lady Lucas + began directly to calculate, with more interest than the matter + had ever excited before, how many years longer Mr. Bennet was + likely to live; and Sir William gave it as his decided opinion, + that whenever Mr. Collins should be in possession of the + Longbourn estate, it would be highly expedient that both he and + his wife should make their appearance at St. James’s. The whole + family, in short, were properly overjoyed on the occasion. The + younger girls formed hopes of _coming out_ a year or two sooner + than they might otherwise have done; and the boys were relieved + from their apprehension of Charlotte’s dying an old maid. + Charlotte herself was tolerably composed. She had gained her + point, and had time to consider of it. Her reflections were in + general satisfactory. Mr. Collins, to be sure, was neither + sensible nor agreeable; his society was irksome, and his + attachment to her must be imaginary. But still he would be her + husband. Without thinking highly either of men or matrimony, + marriage had always been her object; it was the only provision + for well-educated young women of small fortune, and however + uncertain of giving happiness, must be their pleasantest + preservative from want. This preservative she had now obtained; + and at the age of twenty-seven, without having ever been + handsome, she felt all the good luck of it. The least agreeable + circumstance in the business was the surprise it must occasion to + Elizabeth Bennet, whose friendship she valued beyond that of any + other person. Elizabeth would wonder, and probably would blame + her; and though her resolution was not to be shaken, her feelings + must be hurt by such a disapprobation. She resolved to give her + the information herself, and therefore charged Mr. Collins, when + he returned to Longbourn to dinner, to drop no hint of what had + passed before any of the family. A promise of secrecy was of + course very dutifully given, but it could not be kept without + difficulty; for the curiosity excited by his long absence burst + forth in such very direct questions on his return as required + some ingenuity to evade, and he was at the same time exercising + great self-denial, for he was longing to publish his prosperous + love. + + As he was to begin his journey too early on the morrow to see any + of the family, the ceremony of leave-taking was performed when + the ladies moved for the night; and Mrs. Bennet, with great + politeness and cordiality, said how happy they should be to see + him at Longbourn again, whenever his engagements might allow him + to visit them. + + “My dear madam,” he replied, “this invitation is particularly + gratifying, because it is what I have been hoping to receive; and + you may be very certain that I shall avail myself of it as soon + as possible.” + + They were all astonished; and Mr. Bennet, who could by no means + wish for so speedy a return, immediately said: + + “But is there not danger of Lady Catherine’s disapprobation here, + my good sir? You had better neglect your relations than run the + risk of offending your patroness.” + + “My dear sir,” replied Mr. Collins, “I am particularly obliged to + you for this friendly caution, and you may depend upon my not + taking so material a step without her ladyship’s concurrence.” + + “You cannot be too much upon your guard. Risk anything rather + than her displeasure; and if you find it likely to be raised by + your coming to us again, which I should think exceedingly + probable, stay quietly at home, and be satisfied that _we_ shall + take no offence.” + + “Believe me, my dear sir, my gratitude is warmly excited by such + affectionate attention; and depend upon it, you will speedily + receive from me a letter of thanks for this, and for every other + mark of your regard during my stay in Hertfordshire. As for my + fair cousins, though my absence may not be long enough to render + it necessary, I shall now take the liberty of wishing them health + and happiness, not excepting my cousin Elizabeth.” + + With proper civilities the ladies then withdrew; all of them + equally surprised that he meditated a quick return. Mrs. Bennet + wished to understand by it that he thought of paying his + addresses to one of her younger girls, and Mary might have been + prevailed on to accept him. She rated his abilities much higher + than any of the others; there was a solidity in his reflections + which often struck her, and though by no means so clever as + herself, she thought that if encouraged to read and improve + himself by such an example as hers, he might become a very + agreeable companion. But on the following morning, every hope of + this kind was done away. Miss Lucas called soon after breakfast, + and in a private conference with Elizabeth related the event of + the day before. + + The possibility of Mr. Collins’s fancying himself in love with + her friend had once occurred to Elizabeth within the last day or + two; but that Charlotte could encourage him seemed almost as far + from possibility as she could encourage him herself, and her + astonishment was consequently so great as to overcome at first + the bounds of decorum, and she could not help crying out: + + “Engaged to Mr. Collins! My dear Charlotte—impossible!” + + The steady countenance which Miss Lucas had commanded in telling + her story, gave way to a momentary confusion here on receiving so + direct a reproach; though, as it was no more than she expected, + she soon regained her composure, and calmly replied: + + “Why should you be surprised, my dear Eliza? Do you think it + incredible that Mr. Collins should be able to procure any woman’s + good opinion, because he was not so happy as to succeed with + you?” + + But Elizabeth had now recollected herself, and making a strong + effort for it, was able to assure with tolerable firmness that + the prospect of their relationship was highly grateful to her, + and that she wished her all imaginable happiness. + + “I see what you are feeling,” replied Charlotte. “You must be + surprised, very much surprised—so lately as Mr. Collins was + wishing to marry you. But when you have had time to think it + over, I hope you will be satisfied with what I have done. I am + not romantic, you know; I never was. I ask only a comfortable + home; and considering Mr. Collins’s character, connection, and + situation in life, I am convinced that my chance of happiness + with him is as fair as most people can boast on entering the + marriage state.” + + Elizabeth quietly answered “Undoubtedly;” and after an awkward + pause, they returned to the rest of the family. Charlotte did not + stay much longer, and Elizabeth was then left to reflect on what + she had heard. It was a long time before she became at all + reconciled to the idea of so unsuitable a match. The strangeness + of Mr. Collins’s making two offers of marriage within three days + was nothing in comparison of his being now accepted. She had + always felt that Charlotte’s opinion of matrimony was not exactly + like her own, but she had not supposed it to be possible that, + when called into action, she would have sacrificed every better + feeling to worldly advantage. Charlotte the wife of Mr. Collins + was a most humiliating picture! And to the pang of a friend + disgracing herself and sunk in her esteem, was added the + distressing conviction that it was impossible for that friend to + be tolerably happy in the lot she had chosen. + + + + + Chapter 23 + + Elizabeth was sitting with her mother and sisters, reflecting on + what she had heard, and doubting whether she was authorised to + mention it, when Sir William Lucas himself appeared, sent by his + daughter, to announce her engagement to the family. With many + compliments to them, and much self-gratulation on the prospect of + a connection between the houses, he unfolded the matter—to an + audience not merely wondering, but incredulous; for Mrs. Bennet, + with more perseverance than politeness, protested he must be + entirely mistaken; and Lydia, always unguarded and often uncivil, + boisterously exclaimed: + + “Good Lord! Sir William, how can you tell such a story? Do not + you know that Mr. Collins wants to marry Lizzy?” + + Nothing less than the complaisance of a courtier could have borne + without anger such treatment; but Sir William’s good breeding + carried him through it all; and though he begged leave to be + positive as to the truth of his information, he listened to all + their impertinence with the most forbearing courtesy. + + Elizabeth, feeling it incumbent on her to relieve him from so + unpleasant a situation, now put herself forward to confirm his + account, by mentioning her prior knowledge of it from Charlotte + herself; and endeavoured to put a stop to the exclamations of her + mother and sisters by the earnestness of her congratulations to + Sir William, in which she was readily joined by Jane, and by + making a variety of remarks on the happiness that might be + expected from the match, the excellent character of Mr. Collins, + and the convenient distance of Hunsford from London. + + Mrs. Bennet was in fact too much overpowered to say a great deal + while Sir William remained; but no sooner had he left them than + her feelings found a rapid vent. In the first place, she + persisted in disbelieving the whole of the matter; secondly, she + was very sure that Mr. Collins had been taken in; thirdly, she + trusted that they would never be happy together; and fourthly, + that the match might be broken off. Two inferences, however, were + plainly deduced from the whole: one, that Elizabeth was the real + cause of the mischief; and the other that she herself had been + barbarously misused by them all; and on these two points she + principally dwelt during the rest of the day. Nothing could + console and nothing could appease her. Nor did that day wear out + her resentment. A week elapsed before she could see Elizabeth + without scolding her, a month passed away before she could speak + to Sir William or Lady Lucas without being rude, and many months + were gone before she could at all forgive their daughter. + + Mr. Bennet’s emotions were much more tranquil on the occasion, + and such as he did experience he pronounced to be of a most + agreeable sort; for it gratified him, he said, to discover that + Charlotte Lucas, whom he had been used to think tolerably + sensible, was as foolish as his wife, and more foolish than his + daughter! + + Jane confessed herself a little surprised at the match; but she + said less of her astonishment than of her earnest desire for + their happiness; nor could Elizabeth persuade her to consider it + as improbable. Kitty and Lydia were far from envying Miss Lucas, + for Mr. Collins was only a clergyman; and it affected them in no + other way than as a piece of news to spread at Meryton. + + Lady Lucas could not be insensible of triumph on being able to + retort on Mrs. Bennet the comfort of having a daughter well + married; and she called at Longbourn rather oftener than usual to + say how happy she was, though Mrs. Bennet’s sour looks and + ill-natured remarks might have been enough to drive happiness + away. + + Between Elizabeth and Charlotte there was a restraint which kept + them mutually silent on the subject; and Elizabeth felt persuaded + that no real confidence could ever subsist between them again. + Her disappointment in Charlotte made her turn with fonder regard + to her sister, of whose rectitude and delicacy she was sure her + opinion could never be shaken, and for whose happiness she grew + daily more anxious, as Bingley had now been gone a week and + nothing more was heard of his return. + + Jane had sent Caroline an early answer to her letter, and was + counting the days till she might reasonably hope to hear again. + The promised letter of thanks from Mr. Collins arrived on + Tuesday, addressed to their father, and written with all the + solemnity of gratitude which a twelvemonth’s abode in the family + might have prompted. After discharging his conscience on that + head, he proceeded to inform them, with many rapturous + expressions, of his happiness in having obtained the affection of + their amiable neighbour, Miss Lucas, and then explained that it + was merely with the view of enjoying her society that he had been + so ready to close with their kind wish of seeing him again at + Longbourn, whither he hoped to be able to return on Monday + fortnight; for Lady Catherine, he added, so heartily approved his + marriage, that she wished it to take place as soon as possible, + which he trusted would be an unanswerable argument with his + amiable Charlotte to name an early day for making him the + happiest of men. + + Mr. Collins’s return into Hertfordshire was no longer a matter of + pleasure to Mrs. Bennet. On the contrary, she was as much + disposed to complain of it as her husband. It was very strange + that he should come to Longbourn instead of to Lucas Lodge; it + was also very inconvenient and exceedingly troublesome. She hated + having visitors in the house while her health was so indifferent, + and lovers were of all people the most disagreeable. Such were + the gentle murmurs of Mrs. Bennet, and they gave way only to the + greater distress of Mr. Bingley’s continued absence. + + Neither Jane nor Elizabeth were comfortable on this subject. Day + after day passed away without bringing any other tidings of him + than the report which shortly prevailed in Meryton of his coming + no more to Netherfield the whole winter; a report which highly + incensed Mrs. Bennet, and which she never failed to contradict as + a most scandalous falsehood. + + Even Elizabeth began to fear—not that Bingley was indifferent—but + that his sisters would be successful in keeping him away. + Unwilling as she was to admit an idea so destructive of Jane’s + happiness, and so dishonorable to the stability of her lover, she + could not prevent its frequently occurring. The united efforts of + his two unfeeling sisters and of his overpowering friend, + assisted by the attractions of Miss Darcy and the amusements of + London might be too much, she feared, for the strength of his + attachment. + + As for Jane, _her_ anxiety under this suspense was, of course, + more painful than Elizabeth’s, but whatever she felt she was + desirous of concealing, and between herself and Elizabeth, + therefore, the subject was never alluded to. But as no such + delicacy restrained her mother, an hour seldom passed in which + she did not talk of Bingley, express her impatience for his + arrival, or even require Jane to confess that if he did not come + back she would think herself very ill used. It needed all Jane’s + steady mildness to bear these attacks with tolerable + tranquillity. + + Mr. Collins returned most punctually on Monday fortnight, but his + reception at Longbourn was not quite so gracious as it had been + on his first introduction. He was too happy, however, to need + much attention; and luckily for the others, the business of + love-making relieved them from a great deal of his company. The + chief of every day was spent by him at Lucas Lodge, and he + sometimes returned to Longbourn only in time to make an apology + for his absence before the family went to bed. + + Mrs. Bennet was really in a most pitiable state. The very mention + of anything concerning the match threw her into an agony of + ill-humour, and wherever she went she was sure of hearing it + talked of. The sight of Miss Lucas was odious to her. As her + successor in that house, she regarded her with jealous + abhorrence. Whenever Charlotte came to see them, she concluded + her to be anticipating the hour of possession; and whenever she + spoke in a low voice to Mr. Collins, was convinced that they were + talking of the Longbourn estate, and resolving to turn herself + and her daughters out of the house, as soon as Mr. Bennet were + dead. She complained bitterly of all this to her husband. + + “Indeed, Mr. Bennet,” said she, “it is very hard to think that + Charlotte Lucas should ever be mistress of this house, that _I_ + should be forced to make way for _her_, and live to see her take + her place in it!” + + “My dear, do not give way to such gloomy thoughts. Let us hope + for better things. Let us flatter ourselves that _I_ may be the + survivor.” + + This was not very consoling to Mrs. Bennet, and therefore, + instead of making any answer, she went on as before. + + “I cannot bear to think that they should have all this estate. If + it was not for the entail, I should not mind it.” + + “What should not you mind?” + + “I should not mind anything at all.” + + “Let us be thankful that you are preserved from a state of such + insensibility.” + + “I never can be thankful, Mr. Bennet, for anything about the + entail. How anyone could have the conscience to entail away an + estate from one’s own daughters, I cannot understand; and all for + the sake of Mr. Collins too! Why should _he_ have it more than + anybody else?” + + “I leave it to yourself to determine,” said Mr. Bennet. + + + + + Chapter 24 + + Miss Bingley’s letter arrived, and put an end to doubt. The very + first sentence conveyed the assurance of their being all settled + in London for the winter, and concluded with her brother’s regret + at not having had time to pay his respects to his friends in + Hertfordshire before he left the country. + + Hope was over, entirely over; and when Jane could attend to the + rest of the letter, she found little, except the professed + affection of the writer, that could give her any comfort. Miss + Darcy’s praise occupied the chief of it. Her many attractions + were again dwelt on, and Caroline boasted joyfully of their + increasing intimacy, and ventured to predict the accomplishment + of the wishes which had been unfolded in her former letter. She + wrote also with great pleasure of her brother’s being an inmate + of Mr. Darcy’s house, and mentioned with raptures some plans of + the latter with regard to new furniture. + + Elizabeth, to whom Jane very soon communicated the chief of all + this, heard it in silent indignation. Her heart was divided + between concern for her sister, and resentment against all + others. To Caroline’s assertion of her brother’s being partial to + Miss Darcy she paid no credit. That he was really fond of Jane, + she doubted no more than she had ever done; and much as she had + always been disposed to like him, she could not think without + anger, hardly without contempt, on that easiness of temper, that + want of proper resolution, which now made him the slave of his + designing friends, and led him to sacrifice of his own happiness + to the caprice of their inclination. Had his own happiness, + however, been the only sacrifice, he might have been allowed to + sport with it in whatever manner he thought best, but her + sister’s was involved in it, as she thought he must be sensible + himself. It was a subject, in short, on which reflection would be + long indulged, and must be unavailing. She could think of nothing + else; and yet whether Bingley’s regard had really died away, or + were suppressed by his friends’ interference; whether he had been + aware of Jane’s attachment, or whether it had escaped his + observation; whatever were the case, though her opinion of him + must be materially affected by the difference, her sister’s + situation remained the same, her peace equally wounded. + + A day or two passed before Jane had courage to speak of her + feelings to Elizabeth; but at last, on Mrs. Bennet’s leaving them + together, after a longer irritation than usual about Netherfield + and its master, she could not help saying: + + “Oh, that my dear mother had more command over herself! She can + have no idea of the pain she gives me by her continual + reflections on him. But I will not repine. It cannot last long. + He will be forgot, and we shall all be as we were before.” + + Elizabeth looked at her sister with incredulous solicitude, but + said nothing. + + “You doubt me,” cried Jane, slightly colouring; “indeed, you have + no reason. He may live in my memory as the most amiable man of my + acquaintance, but that is all. I have nothing either to hope or + fear, and nothing to reproach him with. Thank God! I have not + _that_ pain. A little time, therefore—I shall certainly try to + get the better.” + + With a stronger voice she soon added, “I have this comfort + immediately, that it has not been more than an error of fancy on + my side, and that it has done no harm to anyone but myself.” + + “My dear Jane!” exclaimed Elizabeth, “you are too good. Your + sweetness and disinterestedness are really angelic; I do not know + what to say to you. I feel as if I had never done you justice, or + loved you as you deserve.” + + Miss Bennet eagerly disclaimed all extraordinary merit, and threw + back the praise on her sister’s warm affection. + + “Nay,” said Elizabeth, “this is not fair. _You_ wish to think all + the world respectable, and are hurt if I speak ill of anybody. + _I_ only want to think _you_ perfect, and you set yourself + against it. Do not be afraid of my running into any excess, of my + encroaching on your privilege of universal good-will. You need + not. There are few people whom I really love, and still fewer of + whom I think well. The more I see of the world, the more am I + dissatisfied with it; and every day confirms my belief of the + inconsistency of all human characters, and of the little + dependence that can be placed on the appearance of merit or + sense. I have met with two instances lately, one I will not + mention; the other is Charlotte’s marriage. It is unaccountable! + In every view it is unaccountable!” + + “My dear Lizzy, do not give way to such feelings as these. They + will ruin your happiness. You do not make allowance enough for + difference of situation and temper. Consider Mr. Collins’s + respectability, and Charlotte’s steady, prudent character. + Remember that she is one of a large family; that as to fortune, + it is a most eligible match; and be ready to believe, for + everybody’s sake, that she may feel something like regard and + esteem for our cousin.” + + “To oblige you, I would try to believe almost anything, but no + one else could be benefited by such a belief as this; for were I + persuaded that Charlotte had any regard for him, I should only + think worse of her understanding than I now do of her heart. My + dear Jane, Mr. Collins is a conceited, pompous, narrow-minded, + silly man; you know he is, as well as I do; and you must feel, as + well as I do, that the woman who married him cannot have a proper + way of thinking. You shall not defend her, though it is Charlotte + Lucas. You shall not, for the sake of one individual, change the + meaning of principle and integrity, nor endeavour to persuade + yourself or me, that selfishness is prudence, and insensibility + of danger security for happiness.” + + “I must think your language too strong in speaking of both,” + replied Jane; “and I hope you will be convinced of it by seeing + them happy together. But enough of this. You alluded to something + else. You mentioned _two_ instances. I cannot misunderstand you, + but I entreat you, dear Lizzy, not to pain me by thinking _that + person_ to blame, and saying your opinion of him is sunk. We must + not be so ready to fancy ourselves intentionally injured. We must + not expect a lively young man to be always so guarded and + circumspect. It is very often nothing but our own vanity that + deceives us. Women fancy admiration means more than it does.” + + “And men take care that they should.” + + “If it is designedly done, they cannot be justified; but I have + no idea of there being so much design in the world as some + persons imagine.” + + “I am far from attributing any part of Mr. Bingley’s conduct to + design,” said Elizabeth; “but without scheming to do wrong, or to + make others unhappy, there may be error, and there may be misery. + Thoughtlessness, want of attention to other people’s feelings, + and want of resolution, will do the business.” + + “And do you impute it to either of those?” + + “Yes; to the last. But if I go on, I shall displease you by + saying what I think of persons you esteem. Stop me whilst you + can.” + + “You persist, then, in supposing his sisters influence him?” + + “Yes, in conjunction with his friend.” + + “I cannot believe it. Why should they try to influence him? They + can only wish his happiness; and if he is attached to me, no + other woman can secure it.” + + “Your first position is false. They may wish many things besides + his happiness; they may wish his increase of wealth and + consequence; they may wish him to marry a girl who has all the + importance of money, great connections, and pride.” + + “Beyond a doubt, they do wish him to choose Miss Darcy,” replied + Jane; “but this may be from better feelings than you are + supposing. They have known her much longer than they have known + me; no wonder if they love her better. But, whatever may be their + own wishes, it is very unlikely they should have opposed their + brother’s. What sister would think herself at liberty to do it, + unless there were something very objectionable? If they believed + him attached to me, they would not try to part us; if he were so, + they could not succeed. By supposing such an affection, you make + everybody acting unnaturally and wrong, and me most unhappy. Do + not distress me by the idea. I am not ashamed of having been + mistaken—or, at least, it is light, it is nothing in comparison + of what I should feel in thinking ill of him or his sisters. Let + me take it in the best light, in the light in which it may be + understood.” + + Elizabeth could not oppose such a wish; and from this time Mr. + Bingley’s name was scarcely ever mentioned between them. + + Mrs. Bennet still continued to wonder and repine at his returning + no more, and though a day seldom passed in which Elizabeth did + not account for it clearly, there was little chance of her ever + considering it with less perplexity. Her daughter endeavoured to + convince her of what she did not believe herself, that his + attentions to Jane had been merely the effect of a common and + transient liking, which ceased when he saw her no more; but + though the probability of the statement was admitted at the time, + she had the same story to repeat every day. Mrs. Bennet’s best + comfort was that Mr. Bingley must be down again in the summer. + + Mr. Bennet treated the matter differently. “So, Lizzy,” said he + one day, “your sister is crossed in love, I find. I congratulate + her. Next to being married, a girl likes to be crossed a little + in love now and then. It is something to think of, and it gives + her a sort of distinction among her companions. When is your turn + to come? You will hardly bear to be long outdone by Jane. Now is + your time. Here are officers enough in Meryton to disappoint all + the young ladies in the country. Let Wickham be your man. He is a + pleasant fellow, and would jilt you creditably.” + + “Thank you, sir, but a less agreeable man would satisfy me. We + must not all expect Jane’s good fortune.” + + “True,” said Mr. Bennet, “but it is a comfort to think that + whatever of that kind may befall you, you have an affectionate + mother who will make the most of it.” + + Mr. Wickham’s society was of material service in dispelling the + gloom which the late perverse occurrences had thrown on many of + the Longbourn family. They saw him often, and to his other + recommendations was now added that of general unreserve. The + whole of what Elizabeth had already heard, his claims on Mr. + Darcy, and all that he had suffered from him, was now openly + acknowledged and publicly canvassed; and everybody was pleased to + know how much they had always disliked Mr. Darcy before they had + known anything of the matter. + + Miss Bennet was the only creature who could suppose there might + be any extenuating circumstances in the case, unknown to the + society of Hertfordshire; her mild and steady candour always + pleaded for allowances, and urged the possibility of mistakes—but + by everybody else Mr. Darcy was condemned as the worst of men. + + + + + Chapter 25 + + After a week spent in professions of love and schemes of + felicity, Mr. Collins was called from his amiable Charlotte by + the arrival of Saturday. The pain of separation, however, might + be alleviated on his side, by preparations for the reception of + his bride; as he had reason to hope, that shortly after his + return into Hertfordshire, the day would be fixed that was to + make him the happiest of men. He took leave of his relations at + Longbourn with as much solemnity as before; wished his fair + cousins health and happiness again, and promised their father + another letter of thanks. + + On the following Monday, Mrs. Bennet had the pleasure of + receiving her brother and his wife, who came as usual to spend + the Christmas at Longbourn. Mr. Gardiner was a sensible, + gentlemanlike man, greatly superior to his sister, as well by + nature as education. The Netherfield ladies would have had + difficulty in believing that a man who lived by trade, and within + view of his own warehouses, could have been so well-bred and + agreeable. Mrs. Gardiner, who was several years younger than Mrs. + Bennet and Mrs. Phillips, was an amiable, intelligent, elegant + woman, and a great favourite with all her Longbourn nieces. + Between the two eldest and herself especially, there subsisted a + particular regard. They had frequently been staying with her in + town. + + The first part of Mrs. Gardiner’s business on her arrival was to + distribute her presents and describe the newest fashions. When + this was done she had a less active part to play. It became her + turn to listen. Mrs. Bennet had many grievances to relate, and + much to complain of. They had all been very ill-used since she + last saw her sister. Two of her girls had been upon the point of + marriage, and after all there was nothing in it. + + “I do not blame Jane,” she continued, “for Jane would have got + Mr. Bingley if she could. But Lizzy! Oh, sister! It is very hard + to think that she might have been Mr. Collins’s wife by this + time, had it not been for her own perverseness. He made her an + offer in this very room, and she refused him. The consequence of + it is, that Lady Lucas will have a daughter married before I + have, and that the Longbourn estate is just as much entailed as + ever. The Lucases are very artful people indeed, sister. They are + all for what they can get. I am sorry to say it of them, but so + it is. It makes me very nervous and poorly, to be thwarted so in + my own family, and to have neighbours who think of themselves + before anybody else. However, your coming just at this time is + the greatest of comforts, and I am very glad to hear what you + tell us, of long sleeves.” + + Mrs. Gardiner, to whom the chief of this news had been given + before, in the course of Jane and Elizabeth’s correspondence with + her, made her sister a slight answer, and, in compassion to her + nieces, turned the conversation. + + When alone with Elizabeth afterwards, she spoke more on the + subject. “It seems likely to have been a desirable match for + Jane,” said she. “I am sorry it went off. But these things happen + so often! A young man, such as you describe Mr. Bingley, so + easily falls in love with a pretty girl for a few weeks, and when + accident separates them, so easily forgets her, that these sort + of inconsistencies are very frequent.” + + “An excellent consolation in its way,” said Elizabeth, “but it + will not do for _us_. We do not suffer by accident. It does not + often happen that the interference of friends will persuade a + young man of independent fortune to think no more of a girl whom + he was violently in love with only a few days before.” + + “But that expression of ‘violently in love’ is so hackneyed, so + doubtful, so indefinite, that it gives me very little idea. It is + as often applied to feelings which arise from a half-hour’s + acquaintance, as to a real, strong attachment. Pray, how _violent + was_ Mr. Bingley’s love?” + + “I never saw a more promising inclination; he was growing quite + inattentive to other people, and wholly engrossed by her. Every + time they met, it was more decided and remarkable. At his own + ball he offended two or three young ladies, by not asking them to + dance; and I spoke to him twice myself, without receiving an + answer. Could there be finer symptoms? Is not general incivility + the very essence of love?” + + “Oh, yes!—of that kind of love which I suppose him to have felt. + Poor Jane! I am sorry for her, because, with her disposition, she + may not get over it immediately. It had better have happened to + _you_, Lizzy; you would have laughed yourself out of it sooner. + But do you think she would be prevailed upon to go back with us? + Change of scene might be of service—and perhaps a little relief + from home may be as useful as anything.” + + Elizabeth was exceedingly pleased with this proposal, and felt + persuaded of her sister’s ready acquiescence. + + “I hope,” added Mrs. Gardiner, “that no consideration with regard + to this young man will influence her. We live in so different a + part of town, all our connections are so different, and, as you + well know, we go out so little, that it is very improbable that + they should meet at all, unless he really comes to see her.” + + “And _that_ is quite impossible; for he is now in the custody of + his friend, and Mr. Darcy would no more suffer him to call on + Jane in such a part of London! My dear aunt, how could you think + of it? Mr. Darcy may perhaps have _heard_ of such a place as + Gracechurch Street, but he would hardly think a month’s ablution + enough to cleanse him from its impurities, were he once to enter + it; and depend upon it, Mr. Bingley never stirs without him.” + + “So much the better. I hope they will not meet at all. But does + not Jane correspond with his sister? _She_ will not be able to + help calling.” + + “She will drop the acquaintance entirely.” + + But in spite of the certainty in which Elizabeth affected to + place this point, as well as the still more interesting one of + Bingley’s being withheld from seeing Jane, she felt a solicitude + on the subject which convinced her, on examination, that she did + not consider it entirely hopeless. It was possible, and sometimes + she thought it probable, that his affection might be reanimated, + and the influence of his friends successfully combated by the + more natural influence of Jane’s attractions. + + Miss Bennet accepted her aunt’s invitation with pleasure; and the + Bingleys were no otherwise in her thoughts at the same time, than + as she hoped by Caroline’s not living in the same house with her + brother, she might occasionally spend a morning with her, without + any danger of seeing him. + + The Gardiners stayed a week at Longbourn; and what with the + Phillipses, the Lucases, and the officers, there was not a day + without its engagement. Mrs. Bennet had so carefully provided for + the entertainment of her brother and sister, that they did not + once sit down to a family dinner. When the engagement was for + home, some of the officers always made part of it—of which + officers Mr. Wickham was sure to be one; and on these occasions, + Mrs. Gardiner, rendered suspicious by Elizabeth’s warm + commendation, narrowly observed them both. Without supposing + them, from what she saw, to be very seriously in love, their + preference of each other was plain enough to make her a little + uneasy; and she resolved to speak to Elizabeth on the subject + before she left Hertfordshire, and represent to her the + imprudence of encouraging such an attachment. + + To Mrs. Gardiner, Wickham had one means of affording pleasure, + unconnected with his general powers. About ten or a dozen years + ago, before her marriage, she had spent a considerable time in + that very part of Derbyshire to which he belonged. They had, + therefore, many acquaintances in common; and though Wickham had + been little there since the death of Darcy’s father, it was yet + in his power to give her fresher intelligence of her former + friends than she had been in the way of procuring. + + Mrs. Gardiner had seen Pemberley, and known the late Mr. Darcy by + character perfectly well. Here consequently was an inexhaustible + subject of discourse. In comparing her recollection of Pemberley + with the minute description which Wickham could give, and in + bestowing her tribute of praise on the character of its late + possessor, she was delighting both him and herself. On being made + acquainted with the present Mr. Darcy’s treatment of him, she + tried to remember some of that gentleman’s reputed disposition + when quite a lad which might agree with it, and was confident at + last that she recollected having heard Mr. Fitzwilliam Darcy + formerly spoken of as a very proud, ill-natured boy. + + + + + Chapter 26 + + Mrs. Gardiner’s caution to Elizabeth was punctually and kindly + given on the first favourable opportunity of speaking to her + alone; after honestly telling her what she thought, she thus went + on: + + “You are too sensible a girl, Lizzy, to fall in love merely + because you are warned against it; and, therefore, I am not + afraid of speaking openly. Seriously, I would have you be on your + guard. Do not involve yourself or endeavour to involve him in an + affection which the want of fortune would make so very imprudent. + I have nothing to say against _him_; he is a most interesting + young man; and if he had the fortune he ought to have, I should + think you could not do better. But as it is, you must not let + your fancy run away with you. You have sense, and we all expect + you to use it. Your father would depend on _your_ resolution and + good conduct, I am sure. You must not disappoint your father.” + + “My dear aunt, this is being serious indeed.” + + “Yes, and I hope to engage you to be serious likewise.” + + “Well, then, you need not be under any alarm. I will take care of + myself, and of Mr. Wickham too. He shall not be in love with me, + if I can prevent it.” + + “Elizabeth, you are not serious now.” + + “I beg your pardon, I will try again. At present I am not in love + with Mr. Wickham; no, I certainly am not. But he is, beyond all + comparison, the most agreeable man I ever saw—and if he becomes + really attached to me—I believe it will be better that he should + not. I see the imprudence of it. Oh! _that_ abominable Mr. Darcy! + My father’s opinion of me does me the greatest honour, and I + should be miserable to forfeit it. My father, however, is partial + to Mr. Wickham. In short, my dear aunt, I should be very sorry to + be the means of making any of you unhappy; but since we see every + day that where there is affection, young people are seldom + withheld by immediate want of fortune from entering into + engagements with each other, how can I promise to be wiser than + so many of my fellow-creatures if I am tempted, or how am I even + to know that it would be wisdom to resist? All that I can promise + you, therefore, is not to be in a hurry. I will not be in a hurry + to believe myself his first object. When I am in company with + him, I will not be wishing. In short, I will do my best.” + + “Perhaps it will be as well if you discourage his coming here so + very often. At least, you should not _remind_ your mother of + inviting him.” + + “As I did the other day,” said Elizabeth with a conscious smile: + “very true, it will be wise in me to refrain from _that_. But do + not imagine that he is always here so often. It is on your + account that he has been so frequently invited this week. You + know my mother’s ideas as to the necessity of constant company + for her friends. But really, and upon my honour, I will try to do + what I think to be the wisest; and now I hope you are satisfied.” + + Her aunt assured her that she was, and Elizabeth having thanked + her for the kindness of her hints, they parted; a wonderful + instance of advice being given on such a point, without being + resented. + + Mr. Collins returned into Hertfordshire soon after it had been + quitted by the Gardiners and Jane; but as he took up his abode + with the Lucases, his arrival was no great inconvenience to Mrs. + Bennet. His marriage was now fast approaching, and she was at + length so far resigned as to think it inevitable, and even + repeatedly to say, in an ill-natured tone, that she “_wished_ + they might be happy.” Thursday was to be the wedding day, and on + Wednesday Miss Lucas paid her farewell visit; and when she rose + to take leave, Elizabeth, ashamed of her mother’s ungracious and + reluctant good wishes, and sincerely affected herself, + accompanied her out of the room. As they went downstairs + together, Charlotte said: + + “I shall depend on hearing from you very often, Eliza.” + + “_That_ you certainly shall.” + + “And I have another favour to ask you. Will you come and see me?” + + “We shall often meet, I hope, in Hertfordshire.” + + “I am not likely to leave Kent for some time. Promise me, + therefore, to come to Hunsford.” + + Elizabeth could not refuse, though she foresaw little pleasure in + the visit. + + “My father and Maria are coming to me in March,” added Charlotte, + “and I hope you will consent to be of the party. Indeed, Eliza, + you will be as welcome as either of them.” + + The wedding took place; the bride and bridegroom set off for Kent + from the church door, and everybody had as much to say, or to + hear, on the subject as usual. Elizabeth soon heard from her + friend; and their correspondence was as regular and frequent as + it had ever been; that it should be equally unreserved was + impossible. Elizabeth could never address her without feeling + that all the comfort of intimacy was over, and though determined + not to slacken as a correspondent, it was for the sake of what + had been, rather than what was. Charlotte’s first letters were + received with a good deal of eagerness; there could not but be + curiosity to know how she would speak of her new home, how she + would like Lady Catherine, and how happy she would dare pronounce + herself to be; though, when the letters were read, Elizabeth felt + that Charlotte expressed herself on every point exactly as she + might have foreseen. She wrote cheerfully, seemed surrounded with + comforts, and mentioned nothing which she could not praise. The + house, furniture, neighbourhood, and roads, were all to her + taste, and Lady Catherine’s behaviour was most friendly and + obliging. It was Mr. Collins’s picture of Hunsford and Rosings + rationally softened; and Elizabeth perceived that she must wait + for her own visit there to know the rest. + + Jane had already written a few lines to her sister to announce + their safe arrival in London; and when she wrote again, Elizabeth + hoped it would be in her power to say something of the Bingleys. + + Her impatience for this second letter was as well rewarded as + impatience generally is. Jane had been a week in town without + either seeing or hearing from Caroline. She accounted for it, + however, by supposing that her last letter to her friend from + Longbourn had by some accident been lost. + + “My aunt,” she continued, “is going to-morrow into that part of + the town, and I shall take the opportunity of calling in + Grosvenor Street.” + + She wrote again when the visit was paid, and she had seen Miss + Bingley. “I did not think Caroline in spirits,” were her words, + “but she was very glad to see me, and reproached me for giving + her no notice of my coming to London. I was right, therefore, my + last letter had never reached her. I inquired after their + brother, of course. He was well, but so much engaged with Mr. + Darcy that they scarcely ever saw him. I found that Miss Darcy + was expected to dinner. I wish I could see her. My visit was not + long, as Caroline and Mrs. Hurst were going out. I dare say I + shall see them soon here.” + + Elizabeth shook her head over this letter. It convinced her that + accident only could discover to Mr. Bingley her sister’s being in + town. + + Four weeks passed away, and Jane saw nothing of him. She + endeavoured to persuade herself that she did not regret it; but + she could no longer be blind to Miss Bingley’s inattention. After + waiting at home every morning for a fortnight, and inventing + every evening a fresh excuse for her, the visitor did at last + appear; but the shortness of her stay, and yet more, the + alteration of her manner would allow Jane to deceive herself no + longer. The letter which she wrote on this occasion to her sister + will prove what she felt. + + “My dearest Lizzy will, I am sure, be incapable of triumphing in + her better judgement, at my expense, when I confess myself to + have been entirely deceived in Miss Bingley’s regard for me. But, + my dear sister, though the event has proved you right, do not + think me obstinate if I still assert that, considering what her + behaviour was, my confidence was as natural as your suspicion. I + do not at all comprehend her reason for wishing to be intimate + with me; but if the same circumstances were to happen again, I am + sure I should be deceived again. Caroline did not return my visit + till yesterday; and not a note, not a line, did I receive in the + meantime. When she did come, it was very evident that she had no + pleasure in it; she made a slight, formal apology, for not + calling before, said not a word of wishing to see me again, and + was in every respect so altered a creature, that when she went + away I was perfectly resolved to continue the acquaintance no + longer. I pity, though I cannot help blaming her. She was very + wrong in singling me out as she did; I can safely say that every + advance to intimacy began on her side. But I pity her, because + she must feel that she has been acting wrong, and because I am + very sure that anxiety for her brother is the cause of it. I need + not explain myself farther; and though _we_ know this anxiety to + be quite needless, yet if she feels it, it will easily account + for her behaviour to me; and so deservedly dear as he is to his + sister, whatever anxiety she must feel on his behalf is natural + and amiable. I cannot but wonder, however, at her having any such + fears now, because, if he had at all cared about me, we must have + met, long ago. He knows of my being in town, I am certain, from + something she said herself; and yet it would seem, by her manner + of talking, as if she wanted to persuade herself that he is + really partial to Miss Darcy. I cannot understand it. If I were + not afraid of judging harshly, I should be almost tempted to say + that there is a strong appearance of duplicity in all this. But I + will endeavour to banish every painful thought, and think only of + what will make me happy—your affection, and the invariable + kindness of my dear uncle and aunt. Let me hear from you very + soon. Miss Bingley said something of his never returning to + Netherfield again, of giving up the house, but not with any + certainty. We had better not mention it. I am extremely glad that + you have such pleasant accounts from our friends at Hunsford. + Pray go to see them, with Sir William and Maria. I am sure you + will be very comfortable there.—Yours, etc.” + + This letter gave Elizabeth some pain; but her spirits returned as + she considered that Jane would no longer be duped, by the sister + at least. All expectation from the brother was now absolutely + over. She would not even wish for a renewal of his attentions. + His character sunk on every review of it; and as a punishment for + him, as well as a possible advantage to Jane, she seriously hoped + he might really soon marry Mr. Darcy’s sister, as by Wickham’s + account, she would make him abundantly regret what he had thrown + away. + + Mrs. Gardiner about this time reminded Elizabeth of her promise + concerning that gentleman, and required information; and + Elizabeth had such to send as might rather give contentment to + her aunt than to herself. His apparent partiality had subsided, + his attentions were over, he was the admirer of some one else. + Elizabeth was watchful enough to see it all, but she could see it + and write of it without material pain. Her heart had been but + slightly touched, and her vanity was satisfied with believing + that _she_ would have been his only choice, had fortune permitted + it. The sudden acquisition of ten thousand pounds was the most + remarkable charm of the young lady to whom he was now rendering + himself agreeable; but Elizabeth, less clear-sighted perhaps in + this case than in Charlotte’s, did not quarrel with him for his + wish of independence. Nothing, on the contrary, could be more + natural; and while able to suppose that it cost him a few + struggles to relinquish her, she was ready to allow it a wise and + desirable measure for both, and could very sincerely wish him + happy. + + All this was acknowledged to Mrs. Gardiner; and after relating + the circumstances, she thus went on: “I am now convinced, my dear + aunt, that I have never been much in love; for had I really + experienced that pure and elevating passion, I should at present + detest his very name, and wish him all manner of evil. But my + feelings are not only cordial towards _him_; they are even + impartial towards Miss King. I cannot find out that I hate her at + all, or that I am in the least unwilling to think her a very good + sort of girl. There can be no love in all this. My watchfulness + has been effectual; and though I certainly should be a more + interesting object to all my acquaintances were I distractedly in + love with him, I cannot say that I regret my comparative + insignificance. Importance may sometimes be purchased too dearly. + Kitty and Lydia take his defection much more to heart than I do. + They are young in the ways of the world, and not yet open to the + mortifying conviction that handsome young men must have something + to live on as well as the plain.” + + + + + Chapter 27 + + With no greater events than these in the Longbourn family, and + otherwise diversified by little beyond the walks to Meryton, + sometimes dirty and sometimes cold, did January and February pass + away. March was to take Elizabeth to Hunsford. She had not at + first thought very seriously of going thither; but Charlotte, she + soon found, was depending on the plan and she gradually learned + to consider it herself with greater pleasure as well as greater + certainty. Absence had increased her desire of seeing Charlotte + again, and weakened her disgust of Mr. Collins. There was novelty + in the scheme, and as, with such a mother and such + uncompanionable sisters, home could not be faultless, a little + change was not unwelcome for its own sake. The journey would + moreover give her a peep at Jane; and, in short, as the time drew + near, she would have been very sorry for any delay. Everything, + however, went on smoothly, and was finally settled according to + Charlotte’s first sketch. She was to accompany Sir William and + his second daughter. The improvement of spending a night in + London was added in time, and the plan became perfect as plan + could be. + + The only pain was in leaving her father, who would certainly miss + her, and who, when it came to the point, so little liked her + going, that he told her to write to him, and almost promised to + answer her letter. + + The farewell between herself and Mr. Wickham was perfectly + friendly; on his side even more. His present pursuit could not + make him forget that Elizabeth had been the first to excite and + to deserve his attention, the first to listen and to pity, the + first to be admired; and in his manner of bidding her adieu, + wishing her every enjoyment, reminding her of what she was to + expect in Lady Catherine de Bourgh, and trusting their opinion of + her—their opinion of everybody—would always coincide, there was a + solicitude, an interest which she felt must ever attach her to + him with a most sincere regard; and she parted from him convinced + that, whether married or single, he must always be her model of + the amiable and pleasing. + + Her fellow-travellers the next day were not of a kind to make her + think him less agreeable. Sir William Lucas, and his daughter + Maria, a good-humoured girl, but as empty-headed as himself, had + nothing to say that could be worth hearing, and were listened to + with about as much delight as the rattle of the chaise. Elizabeth + loved absurdities, but she had known Sir William’s too long. He + could tell her nothing new of the wonders of his presentation and + knighthood; and his civilities were worn out, like his + information. + + It was a journey of only twenty-four miles, and they began it so + early as to be in Gracechurch Street by noon. As they drove to + Mr. Gardiner’s door, Jane was at a drawing-room window watching + their arrival; when they entered the passage she was there to + welcome them, and Elizabeth, looking earnestly in her face, was + pleased to see it healthful and lovely as ever. On the stairs + were a troop of little boys and girls, whose eagerness for their + cousin’s appearance would not allow them to wait in the + drawing-room, and whose shyness, as they had not seen her for a + twelvemonth, prevented their coming lower. All was joy and + kindness. The day passed most pleasantly away; the morning in + bustle and shopping, and the evening at one of the theatres. + + Elizabeth then contrived to sit by her aunt. Their first object + was her sister; and she was more grieved than astonished to hear, + in reply to her minute inquiries, that though Jane always + struggled to support her spirits, there were periods of + dejection. It was reasonable, however, to hope that they would + not continue long. Mrs. Gardiner gave her the particulars also of + Miss Bingley’s visit in Gracechurch Street, and repeated + conversations occurring at different times between Jane and + herself, which proved that the former had, from her heart, given + up the acquaintance. + + Mrs. Gardiner then rallied her niece on Wickham’s desertion, and + complimented her on bearing it so well. + + “But my dear Elizabeth,” she added, “what sort of girl is Miss + King? I should be sorry to think our friend mercenary.” + + “Pray, my dear aunt, what is the difference in matrimonial + affairs, between the mercenary and the prudent motive? Where does + discretion end, and avarice begin? Last Christmas you were afraid + of his marrying me, because it would be imprudent; and now, + because he is trying to get a girl with only ten thousand pounds, + you want to find out that he is mercenary.” + + “If you will only tell me what sort of girl Miss King is, I shall + know what to think.” + + “She is a very good kind of girl, I believe. I know no harm of + her.” + + “But he paid her not the smallest attention till her + grandfather’s death made her mistress of this fortune.” + + “No—why should he? If it were not allowable for him to gain _my_ + affections because I had no money, what occasion could there be + for making love to a girl whom he did not care about, and who was + equally poor?” + + “But there seems an indelicacy in directing his attentions + towards her so soon after this event.” + + “A man in distressed circumstances has not time for all those + elegant decorums which other people may observe. If _she_ does + not object to it, why should _we_?” + + “_Her_ not objecting does not justify _him_. It only shows her + being deficient in something herself—sense or feeling.” + + “Well,” cried Elizabeth, “have it as you choose. _He_ shall be + mercenary, and _she_ shall be foolish.” + + “No, Lizzy, that is what I do _not_ choose. I should be sorry, + you know, to think ill of a young man who has lived so long in + Derbyshire.” + + “Oh! if that is all, I have a very poor opinion of young men who + live in Derbyshire; and their intimate friends who live in + Hertfordshire are not much better. I am sick of them all. Thank + Heaven! I am going to-morrow where I shall find a man who has not + one agreeable quality, who has neither manner nor sense to + recommend him. Stupid men are the only ones worth knowing, after + all.” + + “Take care, Lizzy; that speech savours strongly of + disappointment.” + + Before they were separated by the conclusion of the play, she had + the unexpected happiness of an invitation to accompany her uncle + and aunt in a tour of pleasure which they proposed taking in the + summer. + + “We have not determined how far it shall carry us,” said Mrs. + Gardiner, “but, perhaps, to the Lakes.” + + No scheme could have been more agreeable to Elizabeth, and her + acceptance of the invitation was most ready and grateful. “Oh, my + dear, dear aunt,” she rapturously cried, “what delight! what + felicity! You give me fresh life and vigour. Adieu to + disappointment and spleen. What are young men to rocks and + mountains? Oh! what hours of transport we shall spend! And when + we _do_ return, it shall not be like other travellers, without + being able to give one accurate idea of anything. We _will_ know + where we have gone—we _will_ recollect what we have seen. Lakes, + mountains, and rivers shall not be jumbled together in our + imaginations; nor when we attempt to describe any particular + scene, will we begin quarreling about its relative situation. Let + _our_ first effusions be less insupportable than those of the + generality of travellers.” + + + + + Chapter 28 + + Every object in the next day’s journey was new and interesting to + Elizabeth; and her spirits were in a state of enjoyment; for she + had seen her sister looking so well as to banish all fear for her + health, and the prospect of her northern tour was a constant + source of delight. + + When they left the high road for the lane to Hunsford, every eye + was in search of the Parsonage, and every turning expected to + bring it in view. The palings of Rosings Park was their boundary + on one side. Elizabeth smiled at the recollection of all that she + had heard of its inhabitants. + + At length the Parsonage was discernible. The garden sloping to + the road, the house standing in it, the green pales, and the + laurel hedge, everything declared they were arriving. Mr. Collins + and Charlotte appeared at the door, and the carriage stopped at + the small gate which led by a short gravel walk to the house, + amidst the nods and smiles of the whole party. In a moment they + were all out of the chaise, rejoicing at the sight of each other. + Mrs. Collins welcomed her friend with the liveliest pleasure, and + Elizabeth was more and more satisfied with coming when she found + herself so affectionately received. She saw instantly that her + cousin’s manners were not altered by his marriage; his formal + civility was just what it had been, and he detained her some + minutes at the gate to hear and satisfy his inquiries after all + her family. They were then, with no other delay than his pointing + out the neatness of the entrance, taken into the house; and as + soon as they were in the parlour, he welcomed them a second time, + with ostentatious formality to his humble abode, and punctually + repeated all his wife’s offers of refreshment. + + Elizabeth was prepared to see him in his glory; and she could not + help in fancying that in displaying the good proportion of the + room, its aspect and its furniture, he addressed himself + particularly to her, as if wishing to make her feel what she had + lost in refusing him. But though everything seemed neat and + comfortable, she was not able to gratify him by any sigh of + repentance, and rather looked with wonder at her friend that she + could have so cheerful an air with such a companion. When Mr. + Collins said anything of which his wife might reasonably be + ashamed, which certainly was not unseldom, she involuntarily + turned her eye on Charlotte. Once or twice she could discern a + faint blush; but in general Charlotte wisely did not hear. After + sitting long enough to admire every article of furniture in the + room, from the sideboard to the fender, to give an account of + their journey, and of all that had happened in London, Mr. + Collins invited them to take a stroll in the garden, which was + large and well laid out, and to the cultivation of which he + attended himself. To work in this garden was one of his most + respectable pleasures; and Elizabeth admired the command of + countenance with which Charlotte talked of the healthfulness of + the exercise, and owned she encouraged it as much as possible. + Here, leading the way through every walk and cross walk, and + scarcely allowing them an interval to utter the praises he asked + for, every view was pointed out with a minuteness which left + beauty entirely behind. He could number the fields in every + direction, and could tell how many trees there were in the most + distant clump. But of all the views which his garden, or which + the country or kingdom could boast, none were to be compared with + the prospect of Rosings, afforded by an opening in the trees that + bordered the park nearly opposite the front of his house. It was + a handsome modern building, well situated on rising ground. + + From his garden, Mr. Collins would have led them round his two + meadows; but the ladies, not having shoes to encounter the + remains of a white frost, turned back; and while Sir William + accompanied him, Charlotte took her sister and friend over the + house, extremely well pleased, probably, to have the opportunity + of showing it without her husband’s help. It was rather small, + but well built and convenient; and everything was fitted up and + arranged with a neatness and consistency of which Elizabeth gave + Charlotte all the credit. When Mr. Collins could be forgotten, + there was really an air of great comfort throughout, and by + Charlotte’s evident enjoyment of it, Elizabeth supposed he must + be often forgotten. + + She had already learnt that Lady Catherine was still in the + country. It was spoken of again while they were at dinner, when + Mr. Collins joining in, observed: + + “Yes, Miss Elizabeth, you will have the honour of seeing Lady + Catherine de Bourgh on the ensuing Sunday at church, and I need + not say you will be delighted with her. She is all affability and + condescension, and I doubt not but you will be honoured with some + portion of her notice when service is over. I have scarcely any + hesitation in saying she will include you and my sister Maria in + every invitation with which she honours us during your stay here. + Her behaviour to my dear Charlotte is charming. We dine at + Rosings twice every week, and are never allowed to walk home. Her + ladyship’s carriage is regularly ordered for us. I _should_ say, + one of her ladyship’s carriages, for she has several.” + + “Lady Catherine is a very respectable, sensible woman indeed,” + added Charlotte, “and a most attentive neighbour.” + + “Very true, my dear, that is exactly what I say. She is the sort + of woman whom one cannot regard with too much deference.” + + The evening was spent chiefly in talking over Hertfordshire news, + and telling again what had already been written; and when it + closed, Elizabeth, in the solitude of her chamber, had to + meditate upon Charlotte’s degree of contentment, to understand + her address in guiding, and composure in bearing with, her + husband, and to acknowledge that it was all done very well. She + had also to anticipate how her visit would pass, the quiet tenor + of their usual employments, the vexatious interruptions of Mr. + Collins, and the gaieties of their intercourse with Rosings. A + lively imagination soon settled it all. + + About the middle of the next day, as she was in her room getting + ready for a walk, a sudden noise below seemed to speak the whole + house in confusion; and, after listening a moment, she heard + somebody running up stairs in a violent hurry, and calling loudly + after her. She opened the door and met Maria in the landing + place, who, breathless with agitation, cried out— + + “Oh, my dear Eliza! pray make haste and come into the + dining-room, for there is such a sight to be seen! I will not + tell you what it is. Make haste, and come down this moment.” + + Elizabeth asked questions in vain; Maria would tell her nothing + more, and down they ran into the dining-room, which fronted the + lane, in quest of this wonder; It was two ladies stopping in a + low phaeton at the garden gate. + + “And is this all?” cried Elizabeth. “I expected at least that the + pigs were got into the garden, and here is nothing but Lady + Catherine and her daughter.” + + “La! my dear,” said Maria, quite shocked at the mistake, “it is + not Lady Catherine. The old lady is Mrs. Jenkinson, who lives + with them; the other is Miss de Bourgh. Only look at her. She is + quite a little creature. Who would have thought that she could be + so thin and small?” + + “She is abominably rude to keep Charlotte out of doors in all + this wind. Why does she not come in?” + + “Oh, Charlotte says she hardly ever does. It is the greatest of + favours when Miss de Bourgh comes in.” + + “I like her appearance,” said Elizabeth, struck with other ideas. + “She looks sickly and cross. Yes, she will do for him very well. + She will make him a very proper wife.” + + Mr. Collins and Charlotte were both standing at the gate in + conversation with the ladies; and Sir William, to Elizabeth’s + high diversion, was stationed in the doorway, in earnest + contemplation of the greatness before him, and constantly bowing + whenever Miss de Bourgh looked that way. + + At length there was nothing more to be said; the ladies drove on, + and the others returned into the house. Mr. Collins no sooner saw + the two girls than he began to congratulate them on their good + fortune, which Charlotte explained by letting them know that the + whole party was asked to dine at Rosings the next day. + + + + + Chapter 29 + + Mr. Collins’s triumph, in consequence of this invitation, was + complete. The power of displaying the grandeur of his patroness + to his wondering visitors, and of letting them see her civility + towards himself and his wife, was exactly what he had wished for; + and that an opportunity of doing it should be given so soon, was + such an instance of Lady Catherine’s condescension, as he knew + not how to admire enough. + + “I confess,” said he, “that I should not have been at all + surprised by her ladyship’s asking us on Sunday to drink tea and + spend the evening at Rosings. I rather expected, from my + knowledge of her affability, that it would happen. But who could + have foreseen such an attention as this? Who could have imagined + that we should receive an invitation to dine there (an + invitation, moreover, including the whole party) so immediately + after your arrival!” + + “I am the less surprised at what has happened,” replied Sir + William, “from that knowledge of what the manners of the great + really are, which my situation in life has allowed me to acquire. + About the court, such instances of elegant breeding are not + uncommon.” + + Scarcely anything was talked of the whole day or next morning but + their visit to Rosings. Mr. Collins was carefully instructing + them in what they were to expect, that the sight of such rooms, + so many servants, and so splendid a dinner, might not wholly + overpower them. + + When the ladies were separating for the toilette, he said to + Elizabeth— + + “Do not make yourself uneasy, my dear cousin, about your apparel. + Lady Catherine is far from requiring that elegance of dress in us + which becomes herself and her daughter. I would advise you merely + to put on whatever of your clothes is superior to the rest—there + is no occasion for anything more. Lady Catherine will not think + the worse of you for being simply dressed. She likes to have the + distinction of rank preserved.” + + While they were dressing, he came two or three times to their + different doors, to recommend their being quick, as Lady + Catherine very much objected to be kept waiting for her dinner. + Such formidable accounts of her ladyship, and her manner of + living, quite frightened Maria Lucas who had been little used to + company, and she looked forward to her introduction at Rosings + with as much apprehension as her father had done to his + presentation at St. James’s. + + As the weather was fine, they had a pleasant walk of about half a + mile across the park. Every park has its beauty and its + prospects; and Elizabeth saw much to be pleased with, though she + could not be in such raptures as Mr. Collins expected the scene + to inspire, and was but slightly affected by his enumeration of + the windows in front of the house, and his relation of what the + glazing altogether had originally cost Sir Lewis de Bourgh. + + When they ascended the steps to the hall, Maria’s alarm was every + moment increasing, and even Sir William did not look perfectly + calm. Elizabeth’s courage did not fail her. She had heard nothing + of Lady Catherine that spoke her awful from any extraordinary + talents or miraculous virtue, and the mere stateliness of money + or rank she thought she could witness without trepidation. + + From the entrance-hall, of which Mr. Collins pointed out, with a + rapturous air, the fine proportion and the finished ornaments, + they followed the servants through an ante-chamber, to the room + where Lady Catherine, her daughter, and Mrs. Jenkinson were + sitting. Her ladyship, with great condescension, arose to receive + them; and as Mrs. Collins had settled it with her husband that + the office of introduction should be hers, it was performed in a + proper manner, without any of those apologies and thanks which he + would have thought necessary. + + In spite of having been at St. James’s, Sir William was so + completely awed by the grandeur surrounding him, that he had but + just courage enough to make a very low bow, and take his seat + without saying a word; and his daughter, frightened almost out of + her senses, sat on the edge of her chair, not knowing which way + to look. Elizabeth found herself quite equal to the scene, and + could observe the three ladies before her composedly. Lady + Catherine was a tall, large woman, with strongly-marked features, + which might once have been handsome. Her air was not + conciliating, nor was her manner of receiving them such as to + make her visitors forget their inferior rank. She was not + rendered formidable by silence; but whatever she said was spoken + in so authoritative a tone, as marked her self-importance, and + brought Mr. Wickham immediately to Elizabeth’s mind; and from the + observation of the day altogether, she believed Lady Catherine to + be exactly what he represented. + + When, after examining the mother, in whose countenance and + deportment she soon found some resemblance of Mr. Darcy, she + turned her eyes on the daughter, she could almost have joined in + Maria’s astonishment at her being so thin and so small. There was + neither in figure nor face any likeness between the ladies. Miss + de Bourgh was pale and sickly; her features, though not plain, + were insignificant; and she spoke very little, except in a low + voice, to Mrs. Jenkinson, in whose appearance there was nothing + remarkable, and who was entirely engaged in listening to what she + said, and placing a screen in the proper direction before her + eyes. + + After sitting a few minutes, they were all sent to one of the + windows to admire the view, Mr. Collins attending them to point + out its beauties, and Lady Catherine kindly informing them that + it was much better worth looking at in the summer. + + The dinner was exceedingly handsome, and there were all the + servants and all the articles of plate which Mr. Collins had + promised; and, as he had likewise foretold, he took his seat at + the bottom of the table, by her ladyship’s desire, and looked as + if he felt that life could furnish nothing greater. He carved, + and ate, and praised with delighted alacrity; and every dish was + commended, first by him and then by Sir William, who was now + enough recovered to echo whatever his son-in-law said, in a + manner which Elizabeth wondered Lady Catherine could bear. But + Lady Catherine seemed gratified by their excessive admiration, + and gave most gracious smiles, especially when any dish on the + table proved a novelty to them. The party did not supply much + conversation. Elizabeth was ready to speak whenever there was an + opening, but she was seated between Charlotte and Miss de + Bourgh—the former of whom was engaged in listening to Lady + Catherine, and the latter said not a word to her all dinner-time. + Mrs. Jenkinson was chiefly employed in watching how little Miss + de Bourgh ate, pressing her to try some other dish, and fearing + she was indisposed. Maria thought speaking out of the question, + and the gentlemen did nothing but eat and admire. + + When the ladies returned to the drawing-room, there was little to + be done but to hear Lady Catherine talk, which she did without + any intermission till coffee came in, delivering her opinion on + every subject in so decisive a manner, as proved that she was not + used to have her judgement controverted. She inquired into + Charlotte’s domestic concerns familiarly and minutely, gave her a + great deal of advice as to the management of them all; told her + how everything ought to be regulated in so small a family as + hers, and instructed her as to the care of her cows and her + poultry. Elizabeth found that nothing was beneath this great + lady’s attention, which could furnish her with an occasion of + dictating to others. In the intervals of her discourse with Mrs. + Collins, she addressed a variety of questions to Maria and + Elizabeth, but especially to the latter, of whose connections she + knew the least, and who she observed to Mrs. Collins was a very + genteel, pretty kind of girl. She asked her, at different times, + how many sisters she had, whether they were older or younger than + herself, whether any of them were likely to be married, whether + they were handsome, where they had been educated, what carriage + her father kept, and what had been her mother’s maiden name? + Elizabeth felt all the impertinence of her questions but answered + them very composedly. Lady Catherine then observed, + + “Your father’s estate is entailed on Mr. Collins, I think. For + your sake,” turning to Charlotte, “I am glad of it; but otherwise + I see no occasion for entailing estates from the female line. It + was not thought necessary in Sir Lewis de Bourgh’s family. Do you + play and sing, Miss Bennet?” + + “A little.” + + “Oh! then—some time or other we shall be happy to hear you. Our + instrument is a capital one, probably superior to——You shall try + it some day. Do your sisters play and sing?” + + “One of them does.” + + “Why did not you all learn? You ought all to have learned. The + Miss Webbs all play, and their father has not so good an income + as yours. Do you draw?” + + “No, not at all.” + + “What, none of you?” + + “Not one.” + + “That is very strange. But I suppose you had no opportunity. Your + mother should have taken you to town every spring for the benefit + of masters.” + + “My mother would have had no objection, but my father hates + London.” + + “Has your governess left you?” + + “We never had any governess.” + + “No governess! How was that possible? Five daughters brought up + at home without a governess! I never heard of such a thing. Your + mother must have been quite a slave to your education.” + + Elizabeth could hardly help smiling as she assured her that had + not been the case. + + “Then, who taught you? who attended to you? Without a governess, + you must have been neglected.” + + “Compared with some families, I believe we were; but such of us + as wished to learn never wanted the means. We were always + encouraged to read, and had all the masters that were necessary. + Those who chose to be idle, certainly might.” + + “Aye, no doubt; but that is what a governess will prevent, and if + I had known your mother, I should have advised her most + strenuously to engage one. I always say that nothing is to be + done in education without steady and regular instruction, and + nobody but a governess can give it. It is wonderful how many + families I have been the means of supplying in that way. I am + always glad to get a young person well placed out. Four nieces of + Mrs. Jenkinson are most delightfully situated through my means; + and it was but the other day that I recommended another young + person, who was merely accidentally mentioned to me, and the + family are quite delighted with her. Mrs. Collins, did I tell you + of Lady Metcalf’s calling yesterday to thank me? She finds Miss + Pope a treasure. ‘Lady Catherine,’ said she, ‘you have given me a + treasure.’ Are any of your younger sisters out, Miss Bennet?” + + “Yes, ma’am, all.” + + “All! What, all five out at once? Very odd! And you only the + second. The younger ones out before the elder ones are married! + Your younger sisters must be very young?” + + “Yes, my youngest is not sixteen. Perhaps _she_ is full young to + be much in company. But really, ma’am, I think it would be very + hard upon younger sisters, that they should not have their share + of society and amusement, because the elder may not have the + means or inclination to marry early. The last-born has as good a + right to the pleasures of youth as the first. And to be kept back + on _such_ a motive! I think it would not be very likely to + promote sisterly affection or delicacy of mind.” + + “Upon my word,” said her ladyship, “you give your opinion very + decidedly for so young a person. Pray, what is your age?” + + “With three younger sisters grown up,” replied Elizabeth, + smiling, “your ladyship can hardly expect me to own it.” + + Lady Catherine seemed quite astonished at not receiving a direct + answer; and Elizabeth suspected herself to be the first creature + who had ever dared to trifle with so much dignified impertinence. + + “You cannot be more than twenty, I am sure, therefore you need + not conceal your age.” + + “I am not one-and-twenty.” + + When the gentlemen had joined them, and tea was over, the + card-tables were placed. Lady Catherine, Sir William, and Mr. and + Mrs. Collins sat down to quadrille; and as Miss de Bourgh chose + to play at cassino, the two girls had the honour of assisting + Mrs. Jenkinson to make up her party. Their table was + superlatively stupid. Scarcely a syllable was uttered that did + not relate to the game, except when Mrs. Jenkinson expressed her + fears of Miss de Bourgh’s being too hot or too cold, or having + too much or too little light. A great deal more passed at the + other table. Lady Catherine was generally speaking—stating the + mistakes of the three others, or relating some anecdote of + herself. Mr. Collins was employed in agreeing to everything her + ladyship said, thanking her for every fish he won, and + apologising if he thought he won too many. Sir William did not + say much. He was storing his memory with anecdotes and noble + names. + + When Lady Catherine and her daughter had played as long as they + chose, the tables were broken up, the carriage was offered to + Mrs. Collins, gratefully accepted and immediately ordered. The + party then gathered round the fire to hear Lady Catherine + determine what weather they were to have on the morrow. From + these instructions they were summoned by the arrival of the + coach; and with many speeches of thankfulness on Mr. Collins’s + side and as many bows on Sir William’s they departed. As soon as + they had driven from the door, Elizabeth was called on by her + cousin to give her opinion of all that she had seen at Rosings, + which, for Charlotte’s sake, she made more favourable than it + really was. But her commendation, though costing her some + trouble, could by no means satisfy Mr. Collins, and he was very + soon obliged to take her ladyship’s praise into his own hands. + + + + + Chapter 30 + + Sir William stayed only a week at Hunsford, but his visit was + long enough to convince him of his daughter’s being most + comfortably settled, and of her possessing such a husband and + such a neighbour as were not often met with. While Sir William + was with them, Mr. Collins devoted his morning to driving him out + in his gig, and showing him the country; but when he went away, + the whole family returned to their usual employments, and + Elizabeth was thankful to find that they did not see more of her + cousin by the alteration, for the chief of the time between + breakfast and dinner was now passed by him either at work in the + garden or in reading and writing, and looking out of the window + in his own book-room, which fronted the road. The room in which + the ladies sat was backwards. Elizabeth had at first rather + wondered that Charlotte should not prefer the dining-parlour for + common use; it was a better sized room, and had a more pleasant + aspect; but she soon saw that her friend had an excellent reason + for what she did, for Mr. Collins would undoubtedly have been + much less in his own apartment, had they sat in one equally + lively; and she gave Charlotte credit for the arrangement. + + From the drawing-room they could distinguish nothing in the lane, + and were indebted to Mr. Collins for the knowledge of what + carriages went along, and how often especially Miss de Bourgh + drove by in her phaeton, which he never failed coming to inform + them of, though it happened almost every day. She not + unfrequently stopped at the Parsonage, and had a few minutes’ + conversation with Charlotte, but was scarcely ever prevailed upon + to get out. + + Very few days passed in which Mr. Collins did not walk to + Rosings, and not many in which his wife did not think it + necessary to go likewise; and till Elizabeth recollected that + there might be other family livings to be disposed of, she could + not understand the sacrifice of so many hours. Now and then they + were honoured with a call from her ladyship, and nothing escaped + her observation that was passing in the room during these visits. + She examined into their employments, looked at their work, and + advised them to do it differently; found fault with the + arrangement of the furniture; or detected the housemaid in + negligence; and if she accepted any refreshment, seemed to do it + only for the sake of finding out that Mrs. Collins’s joints of + meat were too large for her family. + + Elizabeth soon perceived, that though this great lady was not in + commission of the peace of the county, she was a most active + magistrate in her own parish, the minutest concerns of which were + carried to her by Mr. Collins; and whenever any of the cottagers + were disposed to be quarrelsome, discontented, or too poor, she + sallied forth into the village to settle their differences, + silence their complaints, and scold them into harmony and plenty. + + The entertainment of dining at Rosings was repeated about twice a + week; and, allowing for the loss of Sir William, and there being + only one card-table in the evening, every such entertainment was + the counterpart of the first. Their other engagements were few, + as the style of living in the neighbourhood in general was beyond + Mr. Collins’s reach. This, however, was no evil to Elizabeth, and + upon the whole she spent her time comfortably enough; there were + half-hours of pleasant conversation with Charlotte, and the + weather was so fine for the time of year that she had often great + enjoyment out of doors. Her favourite walk, and where she + frequently went while the others were calling on Lady Catherine, + was along the open grove which edged that side of the park, where + there was a nice sheltered path, which no one seemed to value but + herself, and where she felt beyond the reach of Lady Catherine’s + curiosity. + + In this quiet way, the first fortnight of her visit soon passed + away. Easter was approaching, and the week preceding it was to + bring an addition to the family at Rosings, which in so small a + circle must be important. Elizabeth had heard soon after her + arrival that Mr. Darcy was expected there in the course of a few + weeks, and though there were not many of her acquaintances whom + she did not prefer, his coming would furnish one comparatively + new to look at in their Rosings parties, and she might be amused + in seeing how hopeless Miss Bingley’s designs on him were, by his + behaviour to his cousin, for whom he was evidently destined by + Lady Catherine, who talked of his coming with the greatest + satisfaction, spoke of him in terms of the highest admiration, + and seemed almost angry to find that he had already been + frequently seen by Miss Lucas and herself. + + His arrival was soon known at the Parsonage; for Mr. Collins was + walking the whole morning within view of the lodges opening into + Hunsford Lane, in order to have the earliest assurance of it, and + after making his bow as the carriage turned into the Park, + hurried home with the great intelligence. On the following + morning he hastened to Rosings to pay his respects. There were + two nephews of Lady Catherine to require them, for Mr. Darcy had + brought with him a Colonel Fitzwilliam, the younger son of his + uncle Lord ——, and, to the great surprise of all the party, when + Mr. Collins returned, the gentlemen accompanied him. Charlotte + had seen them from her husband’s room, crossing the road, and + immediately running into the other, told the girls what an honour + they might expect, adding: + + “I may thank you, Eliza, for this piece of civility. Mr. Darcy + would never have come so soon to wait upon me.” + + Elizabeth had scarcely time to disclaim all right to the + compliment, before their approach was announced by the door-bell, + and shortly afterwards the three gentlemen entered the room. + Colonel Fitzwilliam, who led the way, was about thirty, not + handsome, but in person and address most truly the gentleman. Mr. + Darcy looked just as he had been used to look in + Hertfordshire—paid his compliments, with his usual reserve, to + Mrs. Collins, and whatever might be his feelings toward her + friend, met her with every appearance of composure. Elizabeth + merely curtseyed to him without saying a word. + + Colonel Fitzwilliam entered into conversation directly with the + readiness and ease of a well-bred man, and talked very + pleasantly; but his cousin, after having addressed a slight + observation on the house and garden to Mrs. Collins, sat for some + time without speaking to anybody. At length, however, his + civility was so far awakened as to inquire of Elizabeth after the + health of her family. She answered him in the usual way, and + after a moment’s pause, added: + + “My eldest sister has been in town these three months. Have you + never happened to see her there?” + + She was perfectly sensible that he never had; but she wished to + see whether he would betray any consciousness of what had passed + between the Bingleys and Jane, and she thought he looked a little + confused as he answered that he had never been so fortunate as to + meet Miss Bennet. The subject was pursued no farther, and the + gentlemen soon afterwards went away. + + + + + Chapter 31 + + Colonel Fitzwilliam’s manners were very much admired at the + Parsonage, and the ladies all felt that he must add considerably + to the pleasures of their engagements at Rosings. It was some + days, however, before they received any invitation thither—for + while there were visitors in the house, they could not be + necessary; and it was not till Easter-day, almost a week after + the gentlemen’s arrival, that they were honoured by such an + attention, and then they were merely asked on leaving church to + come there in the evening. For the last week they had seen very + little of Lady Catherine or her daughter. Colonel Fitzwilliam had + called at the Parsonage more than once during the time, but Mr. + Darcy they had seen only at church. + + The invitation was accepted of course, and at a proper hour they + joined the party in Lady Catherine’s drawing-room. Her ladyship + received them civilly, but it was plain that their company was by + no means so acceptable as when she could get nobody else; and she + was, in fact, almost engrossed by her nephews, speaking to them, + especially to Darcy, much more than to any other person in the + room. + + Colonel Fitzwilliam seemed really glad to see them; anything was + a welcome relief to him at Rosings; and Mrs. Collins’s pretty + friend had moreover caught his fancy very much. He now seated + himself by her, and talked so agreeably of Kent and + Hertfordshire, of travelling and staying at home, of new books + and music, that Elizabeth had never been half so well entertained + in that room before; and they conversed with so much spirit and + flow, as to draw the attention of Lady Catherine herself, as well + as of Mr. Darcy. _His_ eyes had been soon and repeatedly turned + towards them with a look of curiosity; and that her ladyship, + after a while, shared the feeling, was more openly acknowledged, + for she did not scruple to call out: + + “What is that you are saying, Fitzwilliam? What is it you are + talking of? What are you telling Miss Bennet? Let me hear what it + is.” + + “We are speaking of music, madam,” said he, when no longer able + to avoid a reply. + + “Of music! Then pray speak aloud. It is of all subjects my + delight. I must have my share in the conversation if you are + speaking of music. There are few people in England, I suppose, + who have more true enjoyment of music than myself, or a better + natural taste. If I had ever learnt, I should have been a great + proficient. And so would Anne, if her health had allowed her to + apply. I am confident that she would have performed delightfully. + How does Georgiana get on, Darcy?” + + Mr. Darcy spoke with affectionate praise of his sister’s + proficiency. + + “I am very glad to hear such a good account of her,” said Lady + Catherine; “and pray tell her from me, that she cannot expect to + excel if she does not practice a good deal.” + + “I assure you, madam,” he replied, “that she does not need such + advice. She practises very constantly.” + + “So much the better. It cannot be done too much; and when I next + write to her, I shall charge her not to neglect it on any + account. I often tell young ladies that no excellence in music is + to be acquired without constant practice. I have told Miss Bennet + several times, that she will never play really well unless she + practises more; and though Mrs. Collins has no instrument, she is + very welcome, as I have often told her, to come to Rosings every + day, and play on the pianoforte in Mrs. Jenkinson’s room. She + would be in nobody’s way, you know, in that part of the house.” + + Mr. Darcy looked a little ashamed of his aunt’s ill-breeding, and + made no answer. + + When coffee was over, Colonel Fitzwilliam reminded Elizabeth of + having promised to play to him; and she sat down directly to the + instrument. He drew a chair near her. Lady Catherine listened to + half a song, and then talked, as before, to her other nephew; + till the latter walked away from her, and making with his usual + deliberation towards the pianoforte stationed himself so as to + command a full view of the fair performer’s countenance. + Elizabeth saw what he was doing, and at the first convenient + pause, turned to him with an arch smile, and said: + + “You mean to frighten me, Mr. Darcy, by coming in all this state + to hear me? I will not be alarmed though your sister _does_ play + so well. There is a stubbornness about me that never can bear to + be frightened at the will of others. My courage always rises at + every attempt to intimidate me.” + + “I shall not say you are mistaken,” he replied, “because you + could not really believe me to entertain any design of alarming + you; and I have had the pleasure of your acquaintance long enough + to know that you find great enjoyment in occasionally professing + opinions which in fact are not your own.” + + Elizabeth laughed heartily at this picture of herself, and said + to Colonel Fitzwilliam, “Your cousin will give you a very pretty + notion of me, and teach you not to believe a word I say. I am + particularly unlucky in meeting with a person so able to expose + my real character, in a part of the world where I had hoped to + pass myself off with some degree of credit. Indeed, Mr. Darcy, it + is very ungenerous in you to mention all that you knew to my + disadvantage in Hertfordshire—and, give me leave to say, very + impolitic too—for it is provoking me to retaliate, and such + things may come out as will shock your relations to hear.” + + “I am not afraid of you,” said he, smilingly. + + “Pray let me hear what you have to accuse him of,” cried Colonel + Fitzwilliam. “I should like to know how he behaves among + strangers.” + + “You shall hear then—but prepare yourself for something very + dreadful. The first time of my ever seeing him in Hertfordshire, + you must know, was at a ball—and at this ball, what do you think + he did? He danced only four dances, though gentlemen were scarce; + and, to my certain knowledge, more than one young lady was + sitting down in want of a partner. Mr. Darcy, you cannot deny the + fact.” + + “I had not at that time the honour of knowing any lady in the + assembly beyond my own party.” + + “True; and nobody can ever be introduced in a ball-room. Well, + Colonel Fitzwilliam, what do I play next? My fingers wait your + orders.” + + “Perhaps,” said Darcy, “I should have judged better, had I sought + an introduction; but I am ill-qualified to recommend myself to + strangers.” + + “Shall we ask your cousin the reason of this?” said Elizabeth, + still addressing Colonel Fitzwilliam. “Shall we ask him why a man + of sense and education, and who has lived in the world, is ill + qualified to recommend himself to strangers?” + + “I can answer your question,” said Fitzwilliam, “without applying + to him. It is because he will not give himself the trouble.” + + “I certainly have not the talent which some people possess,” said + Darcy, “of conversing easily with those I have never seen before. + I cannot catch their tone of conversation, or appear interested + in their concerns, as I often see done.” + + “My fingers,” said Elizabeth, “do not move over this instrument + in the masterly manner which I see so many women’s do. They have + not the same force or rapidity, and do not produce the same + expression. But then I have always supposed it to be my own + fault—because I will not take the trouble of practising. It is + not that I do not believe _my_ fingers as capable as any other + woman’s of superior execution.” + + Darcy smiled and said, “You are perfectly right. You have + employed your time much better. No one admitted to the privilege + of hearing you can think anything wanting. We neither of us + perform to strangers.” + + Here they were interrupted by Lady Catherine, who called out to + know what they were talking of. Elizabeth immediately began + playing again. Lady Catherine approached, and, after listening + for a few minutes, said to Darcy: + + “Miss Bennet would not play at all amiss if she practised more, + and could have the advantage of a London master. She has a very + good notion of fingering, though her taste is not equal to + Anne’s. Anne would have been a delightful performer, had her + health allowed her to learn.” + + Elizabeth looked at Darcy to see how cordially he assented to his + cousin’s praise; but neither at that moment nor at any other + could she discern any symptom of love; and from the whole of his + behaviour to Miss de Bourgh she derived this comfort for Miss + Bingley, that he might have been just as likely to marry _her_, + had she been his relation. + + Lady Catherine continued her remarks on Elizabeth’s performance, + mixing with them many instructions on execution and taste. + Elizabeth received them with all the forbearance of civility, + and, at the request of the gentlemen, remained at the instrument + till her ladyship’s carriage was ready to take them all home. + + + + + Chapter 32 + + Elizabeth was sitting by herself the next morning, and writing to + Jane while Mrs. Collins and Maria were gone on business into the + village, when she was startled by a ring at the door, the certain + signal of a visitor. As she had heard no carriage, she thought it + not unlikely to be Lady Catherine, and under that apprehension + was putting away her half-finished letter that she might escape + all impertinent questions, when the door opened, and, to her very + great surprise, Mr. Darcy, and Mr. Darcy only, entered the room. + + He seemed astonished too on finding her alone, and apologised for + his intrusion by letting her know that he had understood all the + ladies were to be within. + + They then sat down, and when her inquiries after Rosings were + made, seemed in danger of sinking into total silence. It was + absolutely necessary, therefore, to think of something, and in + this emergence recollecting _when_ she had seen him last in + Hertfordshire, and feeling curious to know what he would say on + the subject of their hasty departure, she observed: + + “How very suddenly you all quitted Netherfield last November, Mr. + Darcy! It must have been a most agreeable surprise to Mr. Bingley + to see you all after him so soon; for, if I recollect right, he + went but the day before. He and his sisters were well, I hope, + when you left London?” + + “Perfectly so, I thank you.” + + She found that she was to receive no other answer, and, after a + short pause added: + + “I think I have understood that Mr. Bingley has not much idea of + ever returning to Netherfield again?” + + “I have never heard him say so; but it is probable that he may + spend very little of his time there in the future. He has many + friends, and is at a time of life when friends and engagements + are continually increasing.” + + “If he means to be but little at Netherfield, it would be better + for the neighbourhood that he should give up the place entirely, + for then we might possibly get a settled family there. But, + perhaps, Mr. Bingley did not take the house so much for the + convenience of the neighbourhood as for his own, and we must + expect him to keep it or quit it on the same principle.” + + “I should not be surprised,” said Darcy, “if he were to give it + up as soon as any eligible purchase offers.” + + Elizabeth made no answer. She was afraid of talking longer of his + friend; and, having nothing else to say, was now determined to + leave the trouble of finding a subject to him. + + He took the hint, and soon began with, “This seems a very + comfortable house. Lady Catherine, I believe, did a great deal to + it when Mr. Collins first came to Hunsford.” + + “I believe she did—and I am sure she could not have bestowed her + kindness on a more grateful object.” + + “Mr. Collins appears to be very fortunate in his choice of a + wife.” + + “Yes, indeed, his friends may well rejoice in his having met with + one of the very few sensible women who would have accepted him, + or have made him happy if they had. My friend has an excellent + understanding—though I am not certain that I consider her + marrying Mr. Collins as the wisest thing she ever did. She seems + perfectly happy, however, and in a prudential light it is + certainly a very good match for her.” + + “It must be very agreeable for her to be settled within so easy a + distance of her own family and friends.” + + “An easy distance, do you call it? It is nearly fifty miles.” + + “And what is fifty miles of good road? Little more than half a + day’s journey. Yes, I call it a very easy distance.” + + “I should never have considered the distance as one of the + _advantages_ of the match,” cried Elizabeth. “I should never have + said Mrs. Collins was settled _near_ her family.” + + “It is a proof of your own attachment to Hertfordshire. Anything + beyond the very neighbourhood of Longbourn, I suppose, would + appear far.” + + As he spoke there was a sort of smile which Elizabeth fancied she + understood; he must be supposing her to be thinking of Jane and + Netherfield, and she blushed as she answered: + + “I do not mean to say that a woman may not be settled too near + her family. The far and the near must be relative, and depend on + many varying circumstances. Where there is fortune to make the + expenses of travelling unimportant, distance becomes no evil. But + that is not the case _here_. Mr. and Mrs. Collins have a + comfortable income, but not such a one as will allow of frequent + journeys—and I am persuaded my friend would not call herself + _near_ her family under less than _half_ the present distance.” + + Mr. Darcy drew his chair a little towards her, and said, “_You_ + cannot have a right to such very strong local attachment. _You_ + cannot have been always at Longbourn.” + + Elizabeth looked surprised. The gentleman experienced some change + of feeling; he drew back his chair, took a newspaper from the + table, and glancing over it, said, in a colder voice: + + “Are you pleased with Kent?” + + A short dialogue on the subject of the country ensued, on either + side calm and concise—and soon put an end to by the entrance of + Charlotte and her sister, just returned from her walk. The + _tête-à-tête_ surprised them. Mr. Darcy related the mistake which + had occasioned his intruding on Miss Bennet, and after sitting a + few minutes longer without saying much to anybody, went away. + + “What can be the meaning of this?” said Charlotte, as soon as he + was gone. “My dear, Eliza, he must be in love with you, or he + would never have called us in this familiar way.” + + But when Elizabeth told of his silence, it did not seem very + likely, even to Charlotte’s wishes, to be the case; and after + various conjectures, they could at last only suppose his visit to + proceed from the difficulty of finding anything to do, which was + the more probable from the time of year. All field sports were + over. Within doors there was Lady Catherine, books, and a + billiard-table, but gentlemen cannot always be within doors; and + in the nearness of the Parsonage, or the pleasantness of the walk + to it, or of the people who lived in it, the two cousins found a + temptation from this period of walking thither almost every day. + They called at various times of the morning, sometimes + separately, sometimes together, and now and then accompanied by + their aunt. It was plain to them all that Colonel Fitzwilliam + came because he had pleasure in their society, a persuasion which + of course recommended him still more; and Elizabeth was reminded + by her own satisfaction in being with him, as well as by his + evident admiration of her, of her former favourite George + Wickham; and though, in comparing them, she saw there was less + captivating softness in Colonel Fitzwilliam’s manners, she + believed he might have the best informed mind. + + But why Mr. Darcy came so often to the Parsonage, it was more + difficult to understand. It could not be for society, as he + frequently sat there ten minutes together without opening his + lips; and when he did speak, it seemed the effect of necessity + rather than of choice—a sacrifice to propriety, not a pleasure to + himself. He seldom appeared really animated. Mrs. Collins knew + not what to make of him. Colonel Fitzwilliam’s occasionally + laughing at his stupidity, proved that he was generally + different, which her own knowledge of him could not have told + her; and as she would liked to have believed this change the + effect of love, and the object of that love her friend Eliza, she + set herself seriously to work to find it out. She watched him + whenever they were at Rosings, and whenever he came to Hunsford; + but without much success. He certainly looked at her friend a + great deal, but the expression of that look was disputable. It + was an earnest, steadfast gaze, but she often doubted whether + there were much admiration in it, and sometimes it seemed nothing + but absence of mind. + + She had once or twice suggested to Elizabeth the possibility of + his being partial to her, but Elizabeth always laughed at the + idea; and Mrs. Collins did not think it right to press the + subject, from the danger of raising expectations which might only + end in disappointment; for in her opinion it admitted not of a + doubt, that all her friend’s dislike would vanish, if she could + suppose him to be in her power. + + In her kind schemes for Elizabeth, she sometimes planned her + marrying Colonel Fitzwilliam. He was beyond comparison the most + pleasant man; he certainly admired her, and his situation in life + was most eligible; but, to counterbalance these advantages, Mr. + Darcy had considerable patronage in the church, and his cousin + could have none at all. + + + + + Chapter 33 + + More than once did Elizabeth, in her ramble within the park, + unexpectedly meet Mr. Darcy. She felt all the perverseness of the + mischance that should bring him where no one else was brought, + and, to prevent its ever happening again, took care to inform him + at first that it was a favourite haunt of hers. How it could + occur a second time, therefore, was very odd! Yet it did, and + even a third. It seemed like wilful ill-nature, or a voluntary + penance, for on these occasions it was not merely a few formal + inquiries and an awkward pause and then away, but he actually + thought it necessary to turn back and walk with her. He never + said a great deal, nor did she give herself the trouble of + talking or of listening much; but it struck her in the course of + their third rencontre that he was asking some odd unconnected + questions—about her pleasure in being at Hunsford, her love of + solitary walks, and her opinion of Mr. and Mrs. Collins’s + happiness; and that in speaking of Rosings and her not perfectly + understanding the house, he seemed to expect that whenever she + came into Kent again she would be staying _there_ too. His words + seemed to imply it. Could he have Colonel Fitzwilliam in his + thoughts? She supposed, if he meant anything, he must mean an + allusion to what might arise in that quarter. It distressed her a + little, and she was quite glad to find herself at the gate in the + pales opposite the Parsonage. + + She was engaged one day as she walked, in perusing Jane’s last + letter, and dwelling on some passages which proved that Jane had + not written in spirits, when, instead of being again surprised by + Mr. Darcy, she saw on looking up that Colonel Fitzwilliam was + meeting her. Putting away the letter immediately and forcing a + smile, she said: + + “I did not know before that you ever walked this way.” + + “I have been making the tour of the park,” he replied, “as I + generally do every year, and intend to close it with a call at + the Parsonage. Are you going much farther?” + + “No, I should have turned in a moment.” + + And accordingly she did turn, and they walked towards the + Parsonage together. + + “Do you certainly leave Kent on Saturday?” said she. + + “Yes—if Darcy does not put it off again. But I am at his + disposal. He arranges the business just as he pleases.” + + “And if not able to please himself in the arrangement, he has at + least pleasure in the great power of choice. I do not know + anybody who seems more to enjoy the power of doing what he likes + than Mr. Darcy.” + + “He likes to have his own way very well,” replied Colonel + Fitzwilliam. “But so we all do. It is only that he has better + means of having it than many others, because he is rich, and many + others are poor. I speak feelingly. A younger son, you know, must + be inured to self-denial and dependence.” + + “In my opinion, the younger son of an earl can know very little + of either. Now seriously, what have you ever known of self-denial + and dependence? When have you been prevented by want of money + from going wherever you chose, or procuring anything you had a + fancy for?” + + “These are home questions—and perhaps I cannot say that I have + experienced many hardships of that nature. But in matters of + greater weight, I may suffer from want of money. Younger sons + cannot marry where they like.” + + “Unless where they like women of fortune, which I think they very + often do.” + + “Our habits of expense make us too dependent, and there are not + many in my rank of life who can afford to marry without some + attention to money.” + + “Is this,” thought Elizabeth, “meant for me?” and she coloured at + the idea; but, recovering herself, said in a lively tone, “And + pray, what is the usual price of an earl’s younger son? Unless + the elder brother is very sickly, I suppose you would not ask + above fifty thousand pounds.” + + He answered her in the same style, and the subject dropped. To + interrupt a silence which might make him fancy her affected with + what had passed, she soon afterwards said: + + “I imagine your cousin brought you down with him chiefly for the + sake of having someone at his disposal. I wonder he does not + marry, to secure a lasting convenience of that kind. But, + perhaps, his sister does as well for the present, and, as she is + under his sole care, he may do what he likes with her.” + + “No,” said Colonel Fitzwilliam, “that is an advantage which he + must divide with me. I am joined with him in the guardianship of + Miss Darcy.” + + “Are you indeed? And pray what sort of guardians do you make? + Does your charge give you much trouble? Young ladies of her age + are sometimes a little difficult to manage, and if she has the + true Darcy spirit, she may like to have her own way.” + + As she spoke she observed him looking at her earnestly; and the + manner in which he immediately asked her why she supposed Miss + Darcy likely to give them any uneasiness, convinced her that she + had somehow or other got pretty near the truth. She directly + replied: + + “You need not be frightened. I never heard any harm of her; and I + dare say she is one of the most tractable creatures in the world. + She is a very great favourite with some ladies of my + acquaintance, Mrs. Hurst and Miss Bingley. I think I have heard + you say that you know them.” + + “I know them a little. Their brother is a pleasant gentlemanlike + man—he is a great friend of Darcy’s.” + + “Oh! yes,” said Elizabeth drily; “Mr. Darcy is uncommonly kind to + Mr. Bingley, and takes a prodigious deal of care of him.” + + “Care of him! Yes, I really believe Darcy _does_ take care of him + in those points where he most wants care. From something that he + told me in our journey hither, I have reason to think Bingley + very much indebted to him. But I ought to beg his pardon, for I + have no right to suppose that Bingley was the person meant. It + was all conjecture.” + + “What is it you mean?” + + “It is a circumstance which Darcy could not wish to be generally + known, because if it were to get round to the lady’s family, it + would be an unpleasant thing.” + + “You may depend upon my not mentioning it.” + + “And remember that I have not much reason for supposing it to be + Bingley. What he told me was merely this: that he congratulated + himself on having lately saved a friend from the inconveniences + of a most imprudent marriage, but without mentioning names or any + other particulars, and I only suspected it to be Bingley from + believing him the kind of young man to get into a scrape of that + sort, and from knowing them to have been together the whole of + last summer.” + + “Did Mr. Darcy give you reasons for this interference?” + + “I understood that there were some very strong objections against + the lady.” + + “And what arts did he use to separate them?” + + “He did not talk to me of his own arts,” said Fitzwilliam, + smiling. “He only told me what I have now told you.” + + Elizabeth made no answer, and walked on, her heart swelling with + indignation. After watching her a little, Fitzwilliam asked her + why she was so thoughtful. + + “I am thinking of what you have been telling me,” said she. “Your + cousin’s conduct does not suit my feelings. Why was he to be the + judge?” + + “You are rather disposed to call his interference officious?” + + “I do not see what right Mr. Darcy had to decide on the propriety + of his friend’s inclination, or why, upon his own judgement + alone, he was to determine and direct in what manner his friend + was to be happy. But,” she continued, recollecting herself, “as + we know none of the particulars, it is not fair to condemn him. + It is not to be supposed that there was much affection in the + case.” + + “That is not an unnatural surmise,” said Fitzwilliam, “but it is + a lessening of the honour of my cousin’s triumph very sadly.” + + This was spoken jestingly; but it appeared to her so just a + picture of Mr. Darcy, that she would not trust herself with an + answer, and therefore, abruptly changing the conversation talked + on indifferent matters until they reached the Parsonage. There, + shut into her own room, as soon as their visitor left them, she + could think without interruption of all that she had heard. It + was not to be supposed that any other people could be meant than + those with whom she was connected. There could not exist in the + world _two_ men over whom Mr. Darcy could have such boundless + influence. That he had been concerned in the measures taken to + separate Bingley and Jane she had never doubted; but she had + always attributed to Miss Bingley the principal design and + arrangement of them. If his own vanity, however, did not mislead + him, _he_ was the cause, his pride and caprice were the cause, of + all that Jane had suffered, and still continued to suffer. He had + ruined for a while every hope of happiness for the most + affectionate, generous heart in the world; and no one could say + how lasting an evil he might have inflicted. + + “There were some very strong objections against the lady,” were + Colonel Fitzwilliam’s words; and those strong objections probably + were, her having one uncle who was a country attorney, and + another who was in business in London. + + “To Jane herself,” she exclaimed, “there could be no possibility + of objection; all loveliness and goodness as she is!—her + understanding excellent, her mind improved, and her manners + captivating. Neither could anything be urged against my father, + who, though with some peculiarities, has abilities Mr. Darcy + himself need not disdain, and respectability which he will + probably never reach.” When she thought of her mother, her + confidence gave way a little; but she would not allow that any + objections _there_ had material weight with Mr. Darcy, whose + pride, she was convinced, would receive a deeper wound from the + want of importance in his friend’s connections, than from their + want of sense; and she was quite decided, at last, that he had + been partly governed by this worst kind of pride, and partly by + the wish of retaining Mr. Bingley for his sister. + + The agitation and tears which the subject occasioned, brought on + a headache; and it grew so much worse towards the evening, that, + added to her unwillingness to see Mr. Darcy, it determined her + not to attend her cousins to Rosings, where they were engaged to + drink tea. Mrs. Collins, seeing that she was really unwell, did + not press her to go and as much as possible prevented her husband + from pressing her; but Mr. Collins could not conceal his + apprehension of Lady Catherine’s being rather displeased by her + staying at home. + + + + + Chapter 34 + + When they were gone, Elizabeth, as if intending to exasperate + herself as much as possible against Mr. Darcy, chose for her + employment the examination of all the letters which Jane had + written to her since her being in Kent. They contained no actual + complaint, nor was there any revival of past occurrences, or any + communication of present suffering. But in all, and in almost + every line of each, there was a want of that cheerfulness which + had been used to characterise her style, and which, proceeding + from the serenity of a mind at ease with itself and kindly + disposed towards everyone, had been scarcely ever clouded. + Elizabeth noticed every sentence conveying the idea of + uneasiness, with an attention which it had hardly received on the + first perusal. Mr. Darcy’s shameful boast of what misery he had + been able to inflict, gave her a keener sense of her sister’s + sufferings. It was some consolation to think that his visit to + Rosings was to end on the day after the next—and, a still + greater, that in less than a fortnight she should herself be with + Jane again, and enabled to contribute to the recovery of her + spirits, by all that affection could do. + + She could not think of Darcy’s leaving Kent without remembering + that his cousin was to go with him; but Colonel Fitzwilliam had + made it clear that he had no intentions at all, and agreeable as + he was, she did not mean to be unhappy about him. + + While settling this point, she was suddenly roused by the sound + of the door-bell, and her spirits were a little fluttered by the + idea of its being Colonel Fitzwilliam himself, who had once + before called late in the evening, and might now come to inquire + particularly after her. But this idea was soon banished, and her + spirits were very differently affected, when, to her utter + amazement, she saw Mr. Darcy walk into the room. In an hurried + manner he immediately began an inquiry after her health, imputing + his visit to a wish of hearing that she were better. She answered + him with cold civility. He sat down for a few moments, and then + getting up, walked about the room. Elizabeth was surprised, but + said not a word. After a silence of several minutes, he came + towards her in an agitated manner, and thus began: + + “In vain I have struggled. It will not do. My feelings will not + be repressed. You must allow me to tell you how ardently I admire + and love you.” + + Elizabeth’s astonishment was beyond expression. She stared, + coloured, doubted, and was silent. This he considered sufficient + encouragement; and the avowal of all that he felt, and had long + felt for her, immediately followed. He spoke well; but there were + feelings besides those of the heart to be detailed; and he was + not more eloquent on the subject of tenderness than of pride. His + sense of her inferiority—of its being a degradation—of the family + obstacles which had always opposed to inclination, were dwelt on + with a warmth which seemed due to the consequence he was + wounding, but was very unlikely to recommend his suit. + + In spite of her deeply-rooted dislike, she could not be + insensible to the compliment of such a man’s affection, and + though her intentions did not vary for an instant, she was at + first sorry for the pain he was to receive; till, roused to + resentment by his subsequent language, she lost all compassion in + anger. She tried, however, to compose herself to answer him with + patience, when he should have done. He concluded with + representing to her the strength of that attachment which, in + spite of all his endeavours, he had found impossible to conquer; + and with expressing his hope that it would now be rewarded by her + acceptance of his hand. As he said this, she could easily see + that he had no doubt of a favourable answer. He _spoke_ of + apprehension and anxiety, but his countenance expressed real + security. Such a circumstance could only exasperate farther, and, + when he ceased, the colour rose into her cheeks, and she said: + + “In such cases as this, it is, I believe, the established mode to + express a sense of obligation for the sentiments avowed, however + unequally they may be returned. It is natural that obligation + should be felt, and if I could _feel_ gratitude, I would now + thank you. But I cannot—I have never desired your good opinion, + and you have certainly bestowed it most unwillingly. I am sorry + to have occasioned pain to anyone. It has been most unconsciously + done, however, and I hope will be of short duration. The feelings + which, you tell me, have long prevented the acknowledgment of + your regard, can have little difficulty in overcoming it after + this explanation.” + + Mr. Darcy, who was leaning against the mantelpiece with his eyes + fixed on her face, seemed to catch her words with no less + resentment than surprise. His complexion became pale with anger, + and the disturbance of his mind was visible in every feature. He + was struggling for the appearance of composure, and would not + open his lips till he believed himself to have attained it. The + pause was to Elizabeth’s feelings dreadful. At length, with a + voice of forced calmness, he said: + + “And this is all the reply which I am to have the honour of + expecting! I might, perhaps, wish to be informed why, with so + little _endeavour_ at civility, I am thus rejected. But it is of + small importance.” + + “I might as well inquire,” replied she, “why with so evident a + desire of offending and insulting me, you chose to tell me that + you liked me against your will, against your reason, and even + against your character? Was not this some excuse for incivility, + if I _was_ uncivil? But I have other provocations. You know I + have. Had not my feelings decided against you—had they been + indifferent, or had they even been favourable, do you think that + any consideration would tempt me to accept the man who has been + the means of ruining, perhaps for ever, the happiness of a most + beloved sister?” + + As she pronounced these words, Mr. Darcy changed colour; but the + emotion was short, and he listened without attempting to + interrupt her while she continued: + + “I have every reason in the world to think ill of you. No motive + can excuse the unjust and ungenerous part you acted _there_. You + dare not, you cannot deny, that you have been the principal, if + not the only means of dividing them from each other—of exposing + one to the censure of the world for caprice and instability, and + the other to its derision for disappointed hopes, and involving + them both in misery of the acutest kind.” + + She paused, and saw with no slight indignation that he was + listening with an air which proved him wholly unmoved by any + feeling of remorse. He even looked at her with a smile of + affected incredulity. + + “Can you deny that you have done it?” she repeated. + + With assumed tranquillity he then replied: “I have no wish of + denying that I did everything in my power to separate my friend + from your sister, or that I rejoice in my success. Towards _him_ + I have been kinder than towards myself.” + + Elizabeth disdained the appearance of noticing this civil + reflection, but its meaning did not escape, nor was it likely to + conciliate her. + + “But it is not merely this affair,” she continued, “on which my + dislike is founded. Long before it had taken place my opinion of + you was decided. Your character was unfolded in the recital which + I received many months ago from Mr. Wickham. On this subject, + what can you have to say? In what imaginary act of friendship can + you here defend yourself? or under what misrepresentation can you + here impose upon others?” + + “You take an eager interest in that gentleman’s concerns,” said + Darcy, in a less tranquil tone, and with a heightened colour. + + “Who that knows what his misfortunes have been, can help feeling + an interest in him?” + + “His misfortunes!” repeated Darcy contemptuously; “yes, his + misfortunes have been great indeed.” + + “And of your infliction,” cried Elizabeth with energy. “You have + reduced him to his present state of poverty—comparative poverty. + You have withheld the advantages which you must know to have been + designed for him. You have deprived the best years of his life of + that independence which was no less his due than his desert. You + have done all this! and yet you can treat the mention of his + misfortune with contempt and ridicule.” + + “And this,” cried Darcy, as he walked with quick steps across the + room, “is your opinion of me! This is the estimation in which you + hold me! I thank you for explaining it so fully. My faults, + according to this calculation, are heavy indeed! But perhaps,” + added he, stopping in his walk, and turning towards her, “these + offenses might have been overlooked, had not your pride been hurt + by my honest confession of the scruples that had long prevented + my forming any serious design. These bitter accusations might + have been suppressed, had I, with greater policy, concealed my + struggles, and flattered you into the belief of my being impelled + by unqualified, unalloyed inclination; by reason, by reflection, + by everything. But disguise of every sort is my abhorrence. Nor + am I ashamed of the feelings I related. They were natural and + just. Could you expect me to rejoice in the inferiority of your + connections?—to congratulate myself on the hope of relations, + whose condition in life is so decidedly beneath my own?” + + Elizabeth felt herself growing more angry every moment; yet she + tried to the utmost to speak with composure when she said: + + “You are mistaken, Mr. Darcy, if you suppose that the mode of + your declaration affected me in any other way, than as it spared + me the concern which I might have felt in refusing you, had you + behaved in a more gentlemanlike manner.” + + She saw him start at this, but he said nothing, and she + continued: + + “You could not have made the offer of your hand in any possible + way that would have tempted me to accept it.” + + Again his astonishment was obvious; and he looked at her with an + expression of mingled incredulity and mortification. She went on: + + “From the very beginning—from the first moment, I may almost + say—of my acquaintance with you, your manners, impressing me with + the fullest belief of your arrogance, your conceit, and your + selfish disdain of the feelings of others, were such as to form + the groundwork of disapprobation on which succeeding events have + built so immovable a dislike; and I had not known you a month + before I felt that you were the last man in the world whom I + could ever be prevailed on to marry.” + + “You have said quite enough, madam. I perfectly comprehend your + feelings, and have now only to be ashamed of what my own have + been. Forgive me for having taken up so much of your time, and + accept my best wishes for your health and happiness.” + + And with these words he hastily left the room, and Elizabeth + heard him the next moment open the front door and quit the house. + + The tumult of her mind, was now painfully great. She knew not how + to support herself, and from actual weakness sat down and cried + for half-an-hour. Her astonishment, as she reflected on what had + passed, was increased by every review of it. That she should + receive an offer of marriage from Mr. Darcy! That he should have + been in love with her for so many months! So much in love as to + wish to marry her in spite of all the objections which had made + him prevent his friend’s marrying her sister, and which must + appear at least with equal force in his own case—was almost + incredible! It was gratifying to have inspired unconsciously so + strong an affection. But his pride, his abominable pride—his + shameless avowal of what he had done with respect to Jane—his + unpardonable assurance in acknowledging, though he could not + justify it, and the unfeeling manner in which he had mentioned + Mr. Wickham, his cruelty towards whom he had not attempted to + deny, soon overcame the pity which the consideration of his + attachment had for a moment excited. She continued in very + agitated reflections till the sound of Lady Catherine’s carriage + made her feel how unequal she was to encounter Charlotte’s + observation, and hurried her away to her room. + + + + + Chapter 35 + + Elizabeth awoke the next morning to the same thoughts and + meditations which had at length closed her eyes. She could not + yet recover from the surprise of what had happened; it was + impossible to think of anything else; and, totally indisposed for + employment, she resolved, soon after breakfast, to indulge + herself in air and exercise. She was proceeding directly to her + favourite walk, when the recollection of Mr. Darcy’s sometimes + coming there stopped her, and instead of entering the park, she + turned up the lane, which led farther from the turnpike-road. The + park paling was still the boundary on one side, and she soon + passed one of the gates into the ground. + + After walking two or three times along that part of the lane, she + was tempted, by the pleasantness of the morning, to stop at the + gates and look into the park. The five weeks which she had now + passed in Kent had made a great difference in the country, and + every day was adding to the verdure of the early trees. She was + on the point of continuing her walk, when she caught a glimpse of + a gentleman within the sort of grove which edged the park; he was + moving that way; and, fearful of its being Mr. Darcy, she was + directly retreating. But the person who advanced was now near + enough to see her, and stepping forward with eagerness, + pronounced her name. She had turned away; but on hearing herself + called, though in a voice which proved it to be Mr. Darcy, she + moved again towards the gate. He had by that time reached it + also, and, holding out a letter, which she instinctively took, + said, with a look of haughty composure, “I have been walking in + the grove some time in the hope of meeting you. Will you do me + the honour of reading that letter?” And then, with a slight bow, + turned again into the plantation, and was soon out of sight. + + With no expectation of pleasure, but with the strongest + curiosity, Elizabeth opened the letter, and, to her still + increasing wonder, perceived an envelope containing two sheets of + letter-paper, written quite through, in a very close hand. The + envelope itself was likewise full. Pursuing her way along the + lane, she then began it. It was dated from Rosings, at eight + o’clock in the morning, and was as follows:— + + “Be not alarmed, madam, on receiving this letter, by the + apprehension of its containing any repetition of those sentiments + or renewal of those offers which were last night so disgusting to + you. I write without any intention of paining you, or humbling + myself, by dwelling on wishes which, for the happiness of both, + cannot be too soon forgotten; and the effort which the formation + and the perusal of this letter must occasion, should have been + spared, had not my character required it to be written and read. + You must, therefore, pardon the freedom with which I demand your + attention; your feelings, I know, will bestow it unwillingly, but + I demand it of your justice. + + “Two offenses of a very different nature, and by no means of + equal magnitude, you last night laid to my charge. The first + mentioned was, that, regardless of the sentiments of either, I + had detached Mr. Bingley from your sister, and the other, that I + had, in defiance of various claims, in defiance of honour and + humanity, ruined the immediate prosperity and blasted the + prospects of Mr. Wickham. Wilfully and wantonly to have thrown + off the companion of my youth, the acknowledged favourite of my + father, a young man who had scarcely any other dependence than on + our patronage, and who had been brought up to expect its + exertion, would be a depravity, to which the separation of two + young persons, whose affection could be the growth of only a few + weeks, could bear no comparison. But from the severity of that + blame which was last night so liberally bestowed, respecting each + circumstance, I shall hope to be in the future secured, when the + following account of my actions and their motives has been read. + If, in the explanation of them, which is due to myself, I am + under the necessity of relating feelings which may be offensive + to yours, I can only say that I am sorry. The necessity must be + obeyed, and further apology would be absurd. + + “I had not been long in Hertfordshire, before I saw, in common + with others, that Bingley preferred your elder sister to any + other young woman in the country. But it was not till the evening + of the dance at Netherfield that I had any apprehension of his + feeling a serious attachment. I had often seen him in love + before. At that ball, while I had the honour of dancing with you, + I was first made acquainted, by Sir William Lucas’s accidental + information, that Bingley’s attentions to your sister had given + rise to a general expectation of their marriage. He spoke of it + as a certain event, of which the time alone could be undecided. + From that moment I observed my friend’s behaviour attentively; + and I could then perceive that his partiality for Miss Bennet was + beyond what I had ever witnessed in him. Your sister I also + watched. Her look and manners were open, cheerful, and engaging + as ever, but without any symptom of peculiar regard, and I + remained convinced from the evening’s scrutiny, that though she + received his attentions with pleasure, she did not invite them by + any participation of sentiment. If _you_ have not been mistaken + here, _I_ must have been in error. Your superior knowledge of + your sister must make the latter probable. If it be so, if I have + been misled by such error to inflict pain on her, your resentment + has not been unreasonable. But I shall not scruple to assert, + that the serenity of your sister’s countenance and air was such + as might have given the most acute observer a conviction that, + however amiable her temper, her heart was not likely to be easily + touched. That I was desirous of believing her indifferent is + certain—but I will venture to say that my investigation and + decisions are not usually influenced by my hopes or fears. I did + not believe her to be indifferent because I wished it; I believed + it on impartial conviction, as truly as I wished it in reason. My + objections to the marriage were not merely those which I last + night acknowledged to have the utmost force of passion to put + aside, in my own case; the want of connection could not be so + great an evil to my friend as to me. But there were other causes + of repugnance; causes which, though still existing, and existing + to an equal degree in both instances, I had myself endeavoured to + forget, because they were not immediately before me. These causes + must be stated, though briefly. The situation of your mother’s + family, though objectionable, was nothing in comparison to that + total want of propriety so frequently, so almost uniformly + betrayed by herself, by your three younger sisters, and + occasionally even by your father. Pardon me. It pains me to + offend you. But amidst your concern for the defects of your + nearest relations, and your displeasure at this representation of + them, let it give you consolation to consider that, to have + conducted yourselves so as to avoid any share of the like + censure, is praise no less generally bestowed on you and your + elder sister, than it is honourable to the sense and disposition + of both. I will only say farther that from what passed that + evening, my opinion of all parties was confirmed, and every + inducement heightened which could have led me before, to preserve + my friend from what I esteemed a most unhappy connection. He left + Netherfield for London, on the day following, as you, I am + certain, remember, with the design of soon returning. + + “The part which I acted is now to be explained. His sisters’ + uneasiness had been equally excited with my own; our coincidence + of feeling was soon discovered, and, alike sensible that no time + was to be lost in detaching their brother, we shortly resolved on + joining him directly in London. We accordingly went—and there I + readily engaged in the office of pointing out to my friend the + certain evils of such a choice. I described, and enforced them + earnestly. But, however this remonstrance might have staggered or + delayed his determination, I do not suppose that it would + ultimately have prevented the marriage, had it not been seconded + by the assurance that I hesitated not in giving, of your sister’s + indifference. He had before believed her to return his affection + with sincere, if not with equal regard. But Bingley has great + natural modesty, with a stronger dependence on my judgement than + on his own. To convince him, therefore, that he had deceived + himself, was no very difficult point. To persuade him against + returning into Hertfordshire, when that conviction had been + given, was scarcely the work of a moment. I cannot blame myself + for having done thus much. There is but one part of my conduct in + the whole affair on which I do not reflect with satisfaction; it + is that I condescended to adopt the measures of art so far as to + conceal from him your sister’s being in town. I knew it myself, + as it was known to Miss Bingley; but her brother is even yet + ignorant of it. That they might have met without ill consequence + is perhaps probable; but his regard did not appear to me enough + extinguished for him to see her without some danger. Perhaps this + concealment, this disguise was beneath me; it is done, however, + and it was done for the best. On this subject I have nothing more + to say, no other apology to offer. If I have wounded your + sister’s feelings, it was unknowingly done and though the motives + which governed me may to you very naturally appear insufficient, + I have not yet learnt to condemn them. + + “With respect to that other, more weighty accusation, of having + injured Mr. Wickham, I can only refute it by laying before you + the whole of his connection with my family. Of what he has + _particularly_ accused me I am ignorant; but of the truth of what + I shall relate, I can summon more than one witness of undoubted + veracity. + + “Mr. Wickham is the son of a very respectable man, who had for + many years the management of all the Pemberley estates, and whose + good conduct in the discharge of his trust naturally inclined my + father to be of service to him; and on George Wickham, who was + his godson, his kindness was therefore liberally bestowed. My + father supported him at school, and afterwards at Cambridge—most + important assistance, as his own father, always poor from the + extravagance of his wife, would have been unable to give him a + gentleman’s education. My father was not only fond of this young + man’s society, whose manners were always engaging; he had also + the highest opinion of him, and hoping the church would be his + profession, intended to provide for him in it. As for myself, it + is many, many years since I first began to think of him in a very + different manner. The vicious propensities—the want of principle, + which he was careful to guard from the knowledge of his best + friend, could not escape the observation of a young man of nearly + the same age with himself, and who had opportunities of seeing + him in unguarded moments, which Mr. Darcy could not have. Here + again I shall give you pain—to what degree you only can tell. But + whatever may be the sentiments which Mr. Wickham has created, a + suspicion of their nature shall not prevent me from unfolding his + real character—it adds even another motive. + + “My excellent father died about five years ago; and his + attachment to Mr. Wickham was to the last so steady, that in his + will he particularly recommended it to me, to promote his + advancement in the best manner that his profession might + allow—and if he took orders, desired that a valuable family + living might be his as soon as it became vacant. There was also a + legacy of one thousand pounds. His own father did not long + survive mine, and within half a year from these events, Mr. + Wickham wrote to inform me that, having finally resolved against + taking orders, he hoped I should not think it unreasonable for + him to expect some more immediate pecuniary advantage, in lieu of + the preferment, by which he could not be benefited. He had some + intention, he added, of studying law, and I must be aware that + the interest of one thousand pounds would be a very insufficient + support therein. I rather wished, than believed him to be + sincere; but, at any rate, was perfectly ready to accede to his + proposal. I knew that Mr. Wickham ought not to be a clergyman; + the business was therefore soon settled—he resigned all claim to + assistance in the church, were it possible that he could ever be + in a situation to receive it, and accepted in return three + thousand pounds. All connection between us seemed now dissolved. + I thought too ill of him to invite him to Pemberley, or admit his + society in town. In town I believe he chiefly lived, but his + studying the law was a mere pretence, and being now free from all + restraint, his life was a life of idleness and dissipation. For + about three years I heard little of him; but on the decease of + the incumbent of the living which had been designed for him, he + applied to me again by letter for the presentation. His + circumstances, he assured me, and I had no difficulty in + believing it, were exceedingly bad. He had found the law a most + unprofitable study, and was now absolutely resolved on being + ordained, if I would present him to the living in question—of + which he trusted there could be little doubt, as he was well + assured that I had no other person to provide for, and I could + not have forgotten my revered father’s intentions. You will + hardly blame me for refusing to comply with this entreaty, or for + resisting every repetition to it. His resentment was in + proportion to the distress of his circumstances—and he was + doubtless as violent in his abuse of me to others as in his + reproaches to myself. After this period every appearance of + acquaintance was dropped. How he lived I know not. But last + summer he was again most painfully obtruded on my notice. + + “I must now mention a circumstance which I would wish to forget + myself, and which no obligation less than the present should + induce me to unfold to any human being. Having said thus much, I + feel no doubt of your secrecy. My sister, who is more than ten + years my junior, was left to the guardianship of my mother’s + nephew, Colonel Fitzwilliam, and myself. About a year ago, she + was taken from school, and an establishment formed for her in + London; and last summer she went with the lady who presided over + it, to Ramsgate; and thither also went Mr. Wickham, undoubtedly + by design; for there proved to have been a prior acquaintance + between him and Mrs. Younge, in whose character we were most + unhappily deceived; and by her connivance and aid, he so far + recommended himself to Georgiana, whose affectionate heart + retained a strong impression of his kindness to her as a child, + that she was persuaded to believe herself in love, and to consent + to an elopement. She was then but fifteen, which must be her + excuse; and after stating her imprudence, I am happy to add, that + I owed the knowledge of it to herself. I joined them unexpectedly + a day or two before the intended elopement, and then Georgiana, + unable to support the idea of grieving and offending a brother + whom she almost looked up to as a father, acknowledged the whole + to me. You may imagine what I felt and how I acted. Regard for my + sister’s credit and feelings prevented any public exposure; but I + wrote to Mr. Wickham, who left the place immediately, and Mrs. + Younge was of course removed from her charge. Mr. Wickham’s chief + object was unquestionably my sister’s fortune, which is thirty + thousand pounds; but I cannot help supposing that the hope of + revenging himself on me was a strong inducement. His revenge + would have been complete indeed. + + “This, madam, is a faithful narrative of every event in which we + have been concerned together; and if you do not absolutely reject + it as false, you will, I hope, acquit me henceforth of cruelty + towards Mr. Wickham. I know not in what manner, under what form + of falsehood he had imposed on you; but his success is not + perhaps to be wondered at. Ignorant as you previously were of + everything concerning either, detection could not be in your + power, and suspicion certainly not in your inclination. + + “You may possibly wonder why all this was not told you last + night; but I was not then master enough of myself to know what + could or ought to be revealed. For the truth of everything here + related, I can appeal more particularly to the testimony of + Colonel Fitzwilliam, who, from our near relationship and constant + intimacy, and, still more, as one of the executors of my father’s + will, has been unavoidably acquainted with every particular of + these transactions. If your abhorrence of _me_ should make _my_ + assertions valueless, you cannot be prevented by the same cause + from confiding in my cousin; and that there may be the + possibility of consulting him, I shall endeavour to find some + opportunity of putting this letter in your hands in the course of + the morning. I will only add, God bless you. + + “FITZWILLIAM DARCY” + + + + + Chapter 36 + + If Elizabeth, when Mr. Darcy gave her the letter, did not expect + it to contain a renewal of his offers, she had formed no + expectation at all of its contents. But such as they were, it may + well be supposed how eagerly she went through them, and what a + contrariety of emotion they excited. Her feelings as she read + were scarcely to be defined. With amazement did she first + understand that he believed any apology to be in his power; and + steadfastly was she persuaded, that he could have no explanation + to give, which a just sense of shame would not conceal. With a + strong prejudice against everything he might say, she began his + account of what had happened at Netherfield. She read with an + eagerness which hardly left her power of comprehension, and from + impatience of knowing what the next sentence might bring, was + incapable of attending to the sense of the one before her eyes. + His belief of her sister’s insensibility she instantly resolved + to be false; and his account of the real, the worst objections to + the match, made her too angry to have any wish of doing him + justice. He expressed no regret for what he had done which + satisfied her; his style was not penitent, but haughty. It was + all pride and insolence. + + But when this subject was succeeded by his account of Mr. + Wickham—when she read with somewhat clearer attention a relation + of events which, if true, must overthrow every cherished opinion + of his worth, and which bore so alarming an affinity to his own + history of himself—her feelings were yet more acutely painful and + more difficult of definition. Astonishment, apprehension, and + even horror, oppressed her. She wished to discredit it entirely, + repeatedly exclaiming, “This must be false! This cannot be! This + must be the grossest falsehood!”—and when she had gone through + the whole letter, though scarcely knowing anything of the last + page or two, put it hastily away, protesting that she would not + regard it, that she would never look in it again. + + In this perturbed state of mind, with thoughts that could rest on + nothing, she walked on; but it would not do; in half a minute the + letter was unfolded again, and collecting herself as well as she + could, she again began the mortifying perusal of all that related + to Wickham, and commanded herself so far as to examine the + meaning of every sentence. The account of his connection with the + Pemberley family was exactly what he had related himself; and the + kindness of the late Mr. Darcy, though she had not before known + its extent, agreed equally well with his own words. So far each + recital confirmed the other; but when she came to the will, the + difference was great. What Wickham had said of the living was + fresh in her memory, and as she recalled his very words, it was + impossible not to feel that there was gross duplicity on one side + or the other; and, for a few moments, she flattered herself that + her wishes did not err. But when she read and re-read with the + closest attention, the particulars immediately following of + Wickham’s resigning all pretensions to the living, of his + receiving in lieu so considerable a sum as three thousand pounds, + again was she forced to hesitate. She put down the letter, + weighed every circumstance with what she meant to be + impartiality—deliberated on the probability of each statement—but + with little success. On both sides it was only assertion. Again + she read on; but every line proved more clearly that the affair, + which she had believed it impossible that any contrivance could + so represent as to render Mr. Darcy’s conduct in it less than + infamous, was capable of a turn which must make him entirely + blameless throughout the whole. + + The extravagance and general profligacy which he scrupled not to + lay at Mr. Wickham’s charge, exceedingly shocked her; the more + so, as she could bring no proof of its injustice. She had never + heard of him before his entrance into the ——shire Militia, in + which he had engaged at the persuasion of the young man who, on + meeting him accidentally in town, had there renewed a slight + acquaintance. Of his former way of life nothing had been known in + Hertfordshire but what he told himself. As to his real character, + had information been in her power, she had never felt a wish of + inquiring. His countenance, voice, and manner had established him + at once in the possession of every virtue. She tried to recollect + some instance of goodness, some distinguished trait of integrity + or benevolence, that might rescue him from the attacks of Mr. + Darcy; or at least, by the predominance of virtue, atone for + those casual errors under which she would endeavour to class what + Mr. Darcy had described as the idleness and vice of many years’ + continuance. But no such recollection befriended her. She could + see him instantly before her, in every charm of air and address; + but she could remember no more substantial good than the general + approbation of the neighbourhood, and the regard which his social + powers had gained him in the mess. After pausing on this point a + considerable while, she once more continued to read. But, alas! + the story which followed, of his designs on Miss Darcy, received + some confirmation from what had passed between Colonel + Fitzwilliam and herself only the morning before; and at last she + was referred for the truth of every particular to Colonel + Fitzwilliam himself—from whom she had previously received the + information of his near concern in all his cousin’s affairs, and + whose character she had no reason to question. At one time she + had almost resolved on applying to him, but the idea was checked + by the awkwardness of the application, and at length wholly + banished by the conviction that Mr. Darcy would never have + hazarded such a proposal, if he had not been well assured of his + cousin’s corroboration. + + She perfectly remembered everything that had passed in + conversation between Wickham and herself, in their first evening + at Mr. Phillips’s. Many of his expressions were still fresh in + her memory. She was _now_ struck with the impropriety of such + communications to a stranger, and wondered it had escaped her + before. She saw the indelicacy of putting himself forward as he + had done, and the inconsistency of his professions with his + conduct. She remembered that he had boasted of having no fear of + seeing Mr. Darcy—that Mr. Darcy might leave the country, but that + _he_ should stand his ground; yet he had avoided the Netherfield + ball the very next week. She remembered also that, till the + Netherfield family had quitted the country, he had told his story + to no one but herself; but that after their removal it had been + everywhere discussed; that he had then no reserves, no scruples + in sinking Mr. Darcy’s character, though he had assured her that + respect for the father would always prevent his exposing the son. + + How differently did everything now appear in which he was + concerned! His attentions to Miss King were now the consequence + of views solely and hatefully mercenary; and the mediocrity of + her fortune proved no longer the moderation of his wishes, but + his eagerness to grasp at anything. His behaviour to herself + could now have had no tolerable motive; he had either been + deceived with regard to her fortune, or had been gratifying his + vanity by encouraging the preference which she believed she had + most incautiously shown. Every lingering struggle in his favour + grew fainter and fainter; and in farther justification of Mr. + Darcy, she could not but allow that Mr. Bingley, when questioned + by Jane, had long ago asserted his blamelessness in the affair; + that proud and repulsive as were his manners, she had never, in + the whole course of their acquaintance—an acquaintance which had + latterly brought them much together, and given her a sort of + intimacy with his ways—seen anything that betrayed him to be + unprincipled or unjust—anything that spoke him of irreligious or + immoral habits; that among his own connections he was esteemed + and valued—that even Wickham had allowed him merit as a brother, + and that she had often heard him speak so affectionately of his + sister as to prove him capable of some amiable feeling; that had + his actions been what Mr. Wickham represented them, so gross a + violation of everything right could hardly have been concealed + from the world; and that friendship between a person capable of + it, and such an amiable man as Mr. Bingley, was incomprehensible. + + She grew absolutely ashamed of herself. Of neither Darcy nor + Wickham could she think without feeling she had been blind, + partial, prejudiced, absurd. + + “How despicably I have acted!” she cried; “I, who have prided + myself on my discernment! I, who have valued myself on my + abilities! who have often disdained the generous candour of my + sister, and gratified my vanity in useless or blameable mistrust! + How humiliating is this discovery! Yet, how just a humiliation! + Had I been in love, I could not have been more wretchedly blind! + But vanity, not love, has been my folly. Pleased with the + preference of one, and offended by the neglect of the other, on + the very beginning of our acquaintance, I have courted + prepossession and ignorance, and driven reason away, where either + were concerned. Till this moment I never knew myself.” + + From herself to Jane—from Jane to Bingley, her thoughts were in a + line which soon brought to her recollection that Mr. Darcy’s + explanation _there_ had appeared very insufficient, and she read + it again. Widely different was the effect of a second perusal. + How could she deny that credit to his assertions in one instance, + which she had been obliged to give in the other? He declared + himself to be totally unsuspicious of her sister’s attachment; + and she could not help remembering what Charlotte’s opinion had + always been. Neither could she deny the justice of his + description of Jane. She felt that Jane’s feelings, though + fervent, were little displayed, and that there was a constant + complacency in her air and manner not often united with great + sensibility. + + When she came to that part of the letter in which her family were + mentioned in terms of such mortifying, yet merited reproach, her + sense of shame was severe. The justice of the charge struck her + too forcibly for denial, and the circumstances to which he + particularly alluded as having passed at the Netherfield ball, + and as confirming all his first disapprobation, could not have + made a stronger impression on his mind than on hers. + + The compliment to herself and her sister was not unfelt. It + soothed, but it could not console her for the contempt which had + thus been self-attracted by the rest of her family; and as she + considered that Jane’s disappointment had in fact been the work + of her nearest relations, and reflected how materially the credit + of both must be hurt by such impropriety of conduct, she felt + depressed beyond anything she had ever known before. + + After wandering along the lane for two hours, giving way to every + variety of thought—re-considering events, determining + probabilities, and reconciling herself, as well as she could, to + a change so sudden and so important, fatigue, and a recollection + of her long absence, made her at length return home; and she + entered the house with the wish of appearing cheerful as usual, + and the resolution of repressing such reflections as must make + her unfit for conversation. + + She was immediately told that the two gentlemen from Rosings had + each called during her absence; Mr. Darcy, only for a few + minutes, to take leave—but that Colonel Fitzwilliam had been + sitting with them at least an hour, hoping for her return, and + almost resolving to walk after her till she could be found. + Elizabeth could but just _affect_ concern in missing him; she + really rejoiced at it. Colonel Fitzwilliam was no longer an + object; she could think only of her letter. + + + + + Chapter 37 + + The two gentlemen left Rosings the next morning, and Mr. Collins + having been in waiting near the lodges, to make them his parting + obeisance, was able to bring home the pleasing intelligence, of + their appearing in very good health, and in as tolerable spirits + as could be expected, after the melancholy scene so lately gone + through at Rosings. To Rosings he then hastened, to console Lady + Catherine and her daughter; and on his return brought back, with + great satisfaction, a message from her ladyship, importing that + she felt herself so dull as to make her very desirous of having + them all to dine with her. + + Elizabeth could not see Lady Catherine without recollecting that, + had she chosen it, she might by this time have been presented to + her as her future niece; nor could she think, without a smile, of + what her ladyship’s indignation would have been. “What would she + have said? how would she have behaved?” were questions with which + she amused herself. + + Their first subject was the diminution of the Rosings party. “I + assure you, I feel it exceedingly,” said Lady Catherine; “I + believe no one feels the loss of friends so much as I do. But I + am particularly attached to these young men, and know them to be + so much attached to me! They were excessively sorry to go! But so + they always are. The dear Colonel rallied his spirits tolerably + till just at last; but Darcy seemed to feel it most acutely, + more, I think, than last year. His attachment to Rosings + certainly increases.” + + Mr. Collins had a compliment, and an allusion to throw in here, + which were kindly smiled on by the mother and daughter. + + Lady Catherine observed, after dinner, that Miss Bennet seemed + out of spirits, and immediately accounting for it by herself, by + supposing that she did not like to go home again so soon, she + added: + + “But if that is the case, you must write to your mother and beg + that you may stay a little longer. Mrs. Collins will be very glad + of your company, I am sure.” + + “I am much obliged to your ladyship for your kind invitation,” + replied Elizabeth, “but it is not in my power to accept it. I + must be in town next Saturday.” + + “Why, at that rate, you will have been here only six weeks. I + expected you to stay two months. I told Mrs. Collins so before + you came. There can be no occasion for your going so soon. Mrs. + Bennet could certainly spare you for another fortnight.” + + “But my father cannot. He wrote last week to hurry my return.” + + “Oh! your father of course may spare you, if your mother can. + Daughters are never of so much consequence to a father. And if + you will stay another _month_ complete, it will be in my power to + take one of you as far as London, for I am going there early in + June, for a week; and as Dawson does not object to the + barouche-box, there will be very good room for one of you—and + indeed, if the weather should happen to be cool, I should not + object to taking you both, as you are neither of you large.” + + “You are all kindness, madam; but I believe we must abide by our + original plan.” + + Lady Catherine seemed resigned. “Mrs. Collins, you must send a + servant with them. You know I always speak my mind, and I cannot + bear the idea of two young women travelling post by themselves. + It is highly improper. You must contrive to send somebody. I have + the greatest dislike in the world to that sort of thing. Young + women should always be properly guarded and attended, according + to their situation in life. When my niece Georgiana went to + Ramsgate last summer, I made a point of her having two + men-servants go with her. Miss Darcy, the daughter of Mr. Darcy, + of Pemberley, and Lady Anne, could not have appeared with + propriety in a different manner. I am excessively attentive to + all those things. You must send John with the young ladies, Mrs. + Collins. I am glad it occurred to me to mention it; for it would + really be discreditable to _you_ to let them go alone.” + + “My uncle is to send a servant for us.” + + “Oh! Your uncle! He keeps a man-servant, does he? I am very glad + you have somebody who thinks of these things. Where shall you + change horses? Oh! Bromley, of course. If you mention my name at + the Bell, you will be attended to.” + + Lady Catherine had many other questions to ask respecting their + journey, and as she did not answer them all herself, attention + was necessary, which Elizabeth believed to be lucky for her; or, + with a mind so occupied, she might have forgotten where she was. + Reflection must be reserved for solitary hours; whenever she was + alone, she gave way to it as the greatest relief; and not a day + went by without a solitary walk, in which she might indulge in + all the delight of unpleasant recollections. + + Mr. Darcy’s letter she was in a fair way of soon knowing by + heart. She studied every sentence; and her feelings towards its + writer were at times widely different. When she remembered the + style of his address, she was still full of indignation; but when + she considered how unjustly she had condemned and upbraided him, + her anger was turned against herself; and his disappointed + feelings became the object of compassion. His attachment excited + gratitude, his general character respect; but she could not + approve him; nor could she for a moment repent her refusal, or + feel the slightest inclination ever to see him again. In her own + past behaviour, there was a constant source of vexation and + regret; and in the unhappy defects of her family, a subject of + yet heavier chagrin. They were hopeless of remedy. Her father, + contented with laughing at them, would never exert himself to + restrain the wild giddiness of his youngest daughters; and her + mother, with manners so far from right herself, was entirely + insensible of the evil. Elizabeth had frequently united with Jane + in an endeavour to check the imprudence of Catherine and Lydia; + but while they were supported by their mother’s indulgence, what + chance could there be of improvement? Catherine, weak-spirited, + irritable, and completely under Lydia’s guidance, had been always + affronted by their advice; and Lydia, self-willed and careless, + would scarcely give them a hearing. They were ignorant, idle, and + vain. While there was an officer in Meryton, they would flirt + with him; and while Meryton was within a walk of Longbourn, they + would be going there forever. + + Anxiety on Jane’s behalf was another prevailing concern; and Mr. + Darcy’s explanation, by restoring Bingley to all her former good + opinion, heightened the sense of what Jane had lost. His + affection was proved to have been sincere, and his conduct + cleared of all blame, unless any could attach to the implicitness + of his confidence in his friend. How grievous then was the + thought that, of a situation so desirable in every respect, so + replete with advantage, so promising for happiness, Jane had been + deprived, by the folly and indecorum of her own family! + + When to these recollections was added the development of + Wickham’s character, it may be easily believed that the happy + spirits which had seldom been depressed before, were now so much + affected as to make it almost impossible for her to appear + tolerably cheerful. + + Their engagements at Rosings were as frequent during the last + week of her stay as they had been at first. The very last evening + was spent there; and her ladyship again inquired minutely into + the particulars of their journey, gave them directions as to the + best method of packing, and was so urgent on the necessity of + placing gowns in the only right way, that Maria thought herself + obliged, on her return, to undo all the work of the morning, and + pack her trunk afresh. + + When they parted, Lady Catherine, with great condescension, + wished them a good journey, and invited them to come to Hunsford + again next year; and Miss de Bourgh exerted herself so far as to + curtsey and hold out her hand to both. + + + + + Chapter 38 + + On Saturday morning Elizabeth and Mr. Collins met for breakfast a + few minutes before the others appeared; and he took the + opportunity of paying the parting civilities which he deemed + indispensably necessary. + + “I know not, Miss Elizabeth,” said he, “whether Mrs. Collins has + yet expressed her sense of your kindness in coming to us; but I + am very certain you will not leave the house without receiving + her thanks for it. The favour of your company has been much felt, + I assure you. We know how little there is to tempt anyone to our + humble abode. Our plain manner of living, our small rooms and few + domestics, and the little we see of the world, must make Hunsford + extremely dull to a young lady like yourself; but I hope you will + believe us grateful for the condescension, and that we have done + everything in our power to prevent your spending your time + unpleasantly.” + + Elizabeth was eager with her thanks and assurances of happiness. + She had spent six weeks with great enjoyment; and the pleasure of + being with Charlotte, and the kind attentions she had received, + must make _her_ feel the obliged. Mr. Collins was gratified, and + with a more smiling solemnity replied: + + “It gives me great pleasure to hear that you have passed your + time not disagreeably. We have certainly done our best; and most + fortunately having it in our power to introduce you to very + superior society, and, from our connection with Rosings, the + frequent means of varying the humble home scene, I think we may + flatter ourselves that your Hunsford visit cannot have been + entirely irksome. Our situation with regard to Lady Catherine’s + family is indeed the sort of extraordinary advantage and blessing + which few can boast. You see on what a footing we are. You see + how continually we are engaged there. In truth I must acknowledge + that, with all the disadvantages of this humble parsonage, I + should not think anyone abiding in it an object of compassion, + while they are sharers of our intimacy at Rosings.” + + Words were insufficient for the elevation of his feelings; and he + was obliged to walk about the room, while Elizabeth tried to + unite civility and truth in a few short sentences. + + “You may, in fact, carry a very favourable report of us into + Hertfordshire, my dear cousin. I flatter myself at least that you + will be able to do so. Lady Catherine’s great attentions to Mrs. + Collins you have been a daily witness of; and altogether I trust + it does not appear that your friend has drawn an unfortunate—but + on this point it will be as well to be silent. Only let me assure + you, my dear Miss Elizabeth, that I can from my heart most + cordially wish you equal felicity in marriage. My dear Charlotte + and I have but one mind and one way of thinking. There is in + everything a most remarkable resemblance of character and ideas + between us. We seem to have been designed for each other.” + + Elizabeth could safely say that it was a great happiness where + that was the case, and with equal sincerity could add, that she + firmly believed and rejoiced in his domestic comforts. She was + not sorry, however, to have the recital of them interrupted by + the lady from whom they sprang. Poor Charlotte! it was melancholy + to leave her to such society! But she had chosen it with her eyes + open; and though evidently regretting that her visitors were to + go, she did not seem to ask for compassion. Her home and her + housekeeping, her parish and her poultry, and all their dependent + concerns, had not yet lost their charms. + + At length the chaise arrived, the trunks were fastened on, the + parcels placed within, and it was pronounced to be ready. After + an affectionate parting between the friends, Elizabeth was + attended to the carriage by Mr. Collins, and as they walked down + the garden he was commissioning her with his best respects to all + her family, not forgetting his thanks for the kindness he had + received at Longbourn in the winter, and his compliments to Mr. + and Mrs. Gardiner, though unknown. He then handed her in, Maria + followed, and the door was on the point of being closed, when he + suddenly reminded them, with some consternation, that they had + hitherto forgotten to leave any message for the ladies at + Rosings. + + “But,” he added, “you will of course wish to have your humble + respects delivered to them, with your grateful thanks for their + kindness to you while you have been here.” + + Elizabeth made no objection; the door was then allowed to be + shut, and the carriage drove off. + + “Good gracious!” cried Maria, after a few minutes’ silence, “it + seems but a day or two since we first came! and yet how many + things have happened!” + + “A great many indeed,” said her companion with a sigh. + + “We have dined nine times at Rosings, besides drinking tea there + twice! How much I shall have to tell!” + + Elizabeth added privately, “And how much I shall have to + conceal!” + + Their journey was performed without much conversation, or any + alarm; and within four hours of their leaving Hunsford they + reached Mr. Gardiner’s house, where they were to remain a few + days. + + Jane looked well, and Elizabeth had little opportunity of + studying her spirits, amidst the various engagements which the + kindness of her aunt had reserved for them. But Jane was to go + home with her, and at Longbourn there would be leisure enough for + observation. + + It was not without an effort, meanwhile, that she could wait even + for Longbourn, before she told her sister of Mr. Darcy’s + proposals. To know that she had the power of revealing what would + so exceedingly astonish Jane, and must, at the same time, so + highly gratify whatever of her own vanity she had not yet been + able to reason away, was such a temptation to openness as nothing + could have conquered but the state of indecision in which she + remained as to the extent of what she should communicate; and her + fear, if she once entered on the subject, of being hurried into + repeating something of Bingley which might only grieve her sister + further. + + + + + Chapter 39 + + It was the second week in May, in which the three young ladies + set out together from Gracechurch Street for the town of ——, in + Hertfordshire; and, as they drew near the appointed inn where Mr. + Bennet’s carriage was to meet them, they quickly perceived, in + token of the coachman’s punctuality, both Kitty and Lydia looking + out of a dining-room up stairs. These two girls had been above an + hour in the place, happily employed in visiting an opposite + milliner, watching the sentinel on guard, and dressing a salad + and cucumber. + + After welcoming their sisters, they triumphantly displayed a + table set out with such cold meat as an inn larder usually + affords, exclaiming, “Is not this nice? Is not this an agreeable + surprise?” + + “And we mean to treat you all,” added Lydia, “but you must lend + us the money, for we have just spent ours at the shop out there.” + Then, showing her purchases—“Look here, I have bought this + bonnet. I do not think it is very pretty; but I thought I might + as well buy it as not. I shall pull it to pieces as soon as I get + home, and see if I can make it up any better.” + + And when her sisters abused it as ugly, she added, with perfect + unconcern, “Oh! but there were two or three much uglier in the + shop; and when I have bought some prettier-coloured satin to trim + it with fresh, I think it will be very tolerable. Besides, it + will not much signify what one wears this summer, after the + ——shire have left Meryton, and they are going in a fortnight.” + + “Are they indeed!” cried Elizabeth, with the greatest + satisfaction. + + “They are going to be encamped near Brighton; and I do so want + papa to take us all there for the summer! It would be such a + delicious scheme; and I dare say would hardly cost anything at + all. Mamma would like to go too of all things! Only think what a + miserable summer else we shall have!” + + “Yes,” thought Elizabeth, “_that_ would be a delightful scheme + indeed, and completely do for us at once. Good Heaven! Brighton, + and a whole campful of soldiers, to us, who have been overset + already by one poor regiment of militia, and the monthly balls of + Meryton!” + + “Now I have got some news for you,” said Lydia, as they sat down + at table. “What do you think? It is excellent news—capital + news—and about a certain person we all like!” + + Jane and Elizabeth looked at each other, and the waiter was told + he need not stay. Lydia laughed, and said: + + “Aye, that is just like your formality and discretion. You + thought the waiter must not hear, as if he cared! I dare say he + often hears worse things said than I am going to say. But he is + an ugly fellow! I am glad he is gone. I never saw such a long + chin in my life. Well, but now for my news; it is about dear + Wickham; too good for the waiter, is it not? There is no danger + of Wickham’s marrying Mary King. There’s for you! She is gone + down to her uncle at Liverpool: gone to stay. Wickham is safe.” + + “And Mary King is safe!” added Elizabeth; “safe from a connection + imprudent as to fortune.” + + “She is a great fool for going away, if she liked him.” + + “But I hope there is no strong attachment on either side,” said + Jane. + + “I am sure there is not on _his_. I will answer for it, he never + cared three straws about her—who _could_ about such a nasty + little freckled thing?” + + Elizabeth was shocked to think that, however incapable of such + coarseness of _expression_ herself, the coarseness of the + _sentiment_ was little other than her own breast had harboured + and fancied liberal! + + As soon as all had ate, and the elder ones paid, the carriage was + ordered; and after some contrivance, the whole party, with all + their boxes, work-bags, and parcels, and the unwelcome addition + of Kitty’s and Lydia’s purchases, were seated in it. + + “How nicely we are all crammed in,” cried Lydia. “I am glad I + bought my bonnet, if it is only for the fun of having another + bandbox! Well, now let us be quite comfortable and snug, and talk + and laugh all the way home. And in the first place, let us hear + what has happened to you all since you went away. Have you seen + any pleasant men? Have you had any flirting? I was in great hopes + that one of you would have got a husband before you came back. + Jane will be quite an old maid soon, I declare. She is almost + three-and-twenty! Lord, how ashamed I should be of not being + married before three-and-twenty! My aunt Phillips wants you so to + get husbands, you can’t think. She says Lizzy had better have + taken Mr. Collins; but _I_ do not think there would have been any + fun in it. Lord! how I should like to be married before any of + you; and then I would _chaperon_ you about to all the balls. Dear + me! we had such a good piece of fun the other day at Colonel + Forster’s. Kitty and me were to spend the day there, and Mrs. + Forster promised to have a little dance in the evening; (by the + bye, Mrs. Forster and me are _such_ friends!) and so she asked + the two Harringtons to come, but Harriet was ill, and so Pen was + forced to come by herself; and then, what do you think we did? We + dressed up Chamberlayne in woman’s clothes on purpose to pass for + a lady, only think what fun! Not a soul knew of it, but Colonel + and Mrs. Forster, and Kitty and me, except my aunt, for we were + forced to borrow one of her gowns; and you cannot imagine how + well he looked! When Denny, and Wickham, and Pratt, and two or + three more of the men came in, they did not know him in the + least. Lord! how I laughed! and so did Mrs. Forster. I thought I + should have died. And _that_ made the men suspect something, and + then they soon found out what was the matter.” + + With such kinds of histories of their parties and good jokes, did + Lydia, assisted by Kitty’s hints and additions, endeavour to + amuse her companions all the way to Longbourn. Elizabeth listened + as little as she could, but there was no escaping the frequent + mention of Wickham’s name. + + Their reception at home was most kind. Mrs. Bennet rejoiced to + see Jane in undiminished beauty; and more than once during dinner + did Mr. Bennet say voluntarily to Elizabeth: + + “I am glad you are come back, Lizzy.” + + Their party in the dining-room was large, for almost all the + Lucases came to meet Maria and hear the news; and various were + the subjects that occupied them: Lady Lucas was inquiring of + Maria, after the welfare and poultry of her eldest daughter; Mrs. + Bennet was doubly engaged, on one hand collecting an account of + the present fashions from Jane, who sat some way below her, and, + on the other, retailing them all to the younger Lucases; and + Lydia, in a voice rather louder than any other person’s, was + enumerating the various pleasures of the morning to anybody who + would hear her. + + “Oh! Mary,” said she, “I wish you had gone with us, for we had + such fun! As we went along, Kitty and I drew up the blinds, and + pretended there was nobody in the coach; and I should have gone + so all the way, if Kitty had not been sick; and when we got to + the George, I do think we behaved very handsomely, for we treated + the other three with the nicest cold luncheon in the world, and + if you would have gone, we would have treated you too. And then + when we came away it was such fun! I thought we never should have + got into the coach. I was ready to die of laughter. And then we + were so merry all the way home! we talked and laughed so loud, + that anybody might have heard us ten miles off!” + + To this Mary very gravely replied, “Far be it from me, my dear + sister, to depreciate such pleasures! They would doubtless be + congenial with the generality of female minds. But I confess they + would have no charms for _me_—I should infinitely prefer a book.” + + But of this answer Lydia heard not a word. She seldom listened to + anybody for more than half a minute, and never attended to Mary + at all. + + In the afternoon Lydia was urgent with the rest of the girls to + walk to Meryton, and to see how everybody went on; but Elizabeth + steadily opposed the scheme. It should not be said that the Miss + Bennets could not be at home half a day before they were in + pursuit of the officers. There was another reason too for her + opposition. She dreaded seeing Mr. Wickham again, and was + resolved to avoid it as long as possible. The comfort to _her_ of + the regiment’s approaching removal was indeed beyond expression. + In a fortnight they were to go—and once gone, she hoped there + could be nothing more to plague her on his account. + + She had not been many hours at home before she found that the + Brighton scheme, of which Lydia had given them a hint at the inn, + was under frequent discussion between her parents. Elizabeth saw + directly that her father had not the smallest intention of + yielding; but his answers were at the same time so vague and + equivocal, that her mother, though often disheartened, had never + yet despaired of succeeding at last. + + + + + Chapter 40 + + Elizabeth’s impatience to acquaint Jane with what had happened + could no longer be overcome; and at length, resolving to suppress + every particular in which her sister was concerned, and preparing + her to be surprised, she related to her the next morning the + chief of the scene between Mr. Darcy and herself. + + Miss Bennet’s astonishment was soon lessened by the strong + sisterly partiality which made any admiration of Elizabeth appear + perfectly natural; and all surprise was shortly lost in other + feelings. She was sorry that Mr. Darcy should have delivered his + sentiments in a manner so little suited to recommend them; but + still more was she grieved for the unhappiness which her sister’s + refusal must have given him. + + “His being so sure of succeeding was wrong,” said she, “and + certainly ought not to have appeared; but consider how much it + must increase his disappointment!” + + “Indeed,” replied Elizabeth, “I am heartily sorry for him; but he + has other feelings, which will probably soon drive away his + regard for me. You do not blame me, however, for refusing him?” + + “Blame you! Oh, no.” + + “But you blame me for having spoken so warmly of Wickham?” + + “No—I do not know that you were wrong in saying what you did.” + + “But you _will_ know it, when I tell you what happened the very + next day.” + + She then spoke of the letter, repeating the whole of its contents + as far as they concerned George Wickham. What a stroke was this + for poor Jane! who would willingly have gone through the world + without believing that so much wickedness existed in the whole + race of mankind, as was here collected in one individual. Nor was + Darcy’s vindication, though grateful to her feelings, capable of + consoling her for such discovery. Most earnestly did she labour + to prove the probability of error, and seek to clear the one + without involving the other. + + “This will not do,” said Elizabeth; “you never will be able to + make both of them good for anything. Take your choice, but you + must be satisfied with only one. There is but such a quantity of + merit between them; just enough to make one good sort of man; and + of late it has been shifting about pretty much. For my part, I am + inclined to believe it all Darcy’s; but you shall do as you + choose.” + + It was some time, however, before a smile could be extorted from + Jane. + + “I do not know when I have been more shocked,” said she. “Wickham + so very bad! It is almost past belief. And poor Mr. Darcy! Dear + Lizzy, only consider what he must have suffered. Such a + disappointment! and with the knowledge of your ill opinion, too! + and having to relate such a thing of his sister! It is really too + distressing. I am sure you must feel it so.” + + “Oh! no, my regret and compassion are all done away by seeing you + so full of both. I know you will do him such ample justice, that + I am growing every moment more unconcerned and indifferent. Your + profusion makes me saving; and if you lament over him much + longer, my heart will be as light as a feather.” + + “Poor Wickham! there is such an expression of goodness in his + countenance! such an openness and gentleness in his manner!” + + “There certainly was some great mismanagement in the education of + those two young men. One has got all the goodness, and the other + all the appearance of it.” + + “I never thought Mr. Darcy so deficient in the _appearance_ of it + as you used to do.” + + “And yet I meant to be uncommonly clever in taking so decided a + dislike to him, without any reason. It is such a spur to one’s + genius, such an opening for wit, to have a dislike of that kind. + One may be continually abusive without saying anything just; but + one cannot always be laughing at a man without now and then + stumbling on something witty.” + + “Lizzy, when you first read that letter, I am sure you could not + treat the matter as you do now.” + + “Indeed, I could not. I was uncomfortable enough, I may say + unhappy. And with no one to speak to about what I felt, no Jane + to comfort me and say that I had not been so very weak and vain + and nonsensical as I knew I had! Oh! how I wanted you!” + + “How unfortunate that you should have used such very strong + expressions in speaking of Wickham to Mr. Darcy, for now they + _do_ appear wholly undeserved.” + + “Certainly. But the misfortune of speaking with bitterness is a + most natural consequence of the prejudices I had been + encouraging. There is one point on which I want your advice. I + want to be told whether I ought, or ought not, to make our + acquaintances in general understand Wickham’s character.” + + Miss Bennet paused a little, and then replied, “Surely there can + be no occasion for exposing him so dreadfully. What is your + opinion?” + + “That it ought not to be attempted. Mr. Darcy has not authorised + me to make his communication public. On the contrary, every + particular relative to his sister was meant to be kept as much as + possible to myself; and if I endeavour to undeceive people as to + the rest of his conduct, who will believe me? The general + prejudice against Mr. Darcy is so violent, that it would be the + death of half the good people in Meryton to attempt to place him + in an amiable light. I am not equal to it. Wickham will soon be + gone; and therefore it will not signify to anyone here what he + really is. Some time hence it will be all found out, and then we + may laugh at their stupidity in not knowing it before. At present + I will say nothing about it.” + + “You are quite right. To have his errors made public might ruin + him for ever. He is now, perhaps, sorry for what he has done, and + anxious to re-establish a character. We must not make him + desperate.” + + The tumult of Elizabeth’s mind was allayed by this conversation. + She had got rid of two of the secrets which had weighed on her + for a fortnight, and was certain of a willing listener in Jane, + whenever she might wish to talk again of either. But there was + still something lurking behind, of which prudence forbade the + disclosure. She dared not relate the other half of Mr. Darcy’s + letter, nor explain to her sister how sincerely she had been + valued by her friend. Here was knowledge in which no one could + partake; and she was sensible that nothing less than a perfect + understanding between the parties could justify her in throwing + off this last encumbrance of mystery. “And then,” said she, “if + that very improbable event should ever take place, I shall merely + be able to tell what Bingley may tell in a much more agreeable + manner himself. The liberty of communication cannot be mine till + it has lost all its value!” + + She was now, on being settled at home, at leisure to observe the + real state of her sister’s spirits. Jane was not happy. She still + cherished a very tender affection for Bingley. Having never even + fancied herself in love before, her regard had all the warmth of + first attachment, and, from her age and disposition, greater + steadiness than most first attachments often boast; and so + fervently did she value his remembrance, and prefer him to every + other man, that all her good sense, and all her attention to the + feelings of her friends, were requisite to check the indulgence + of those regrets which must have been injurious to her own health + and their tranquillity. + + “Well, Lizzy,” said Mrs. Bennet one day, “what is your opinion + _now_ of this sad business of Jane’s? For my part, I am + determined never to speak of it again to anybody. I told my + sister Phillips so the other day. But I cannot find out that Jane + saw anything of him in London. Well, he is a very undeserving + young man—and I do not suppose there’s the least chance in the + world of her ever getting him now. There is no talk of his coming + to Netherfield again in the summer; and I have inquired of + everybody, too, who is likely to know.” + + “I do not believe he will ever live at Netherfield any more.” + + “Oh well! it is just as he chooses. Nobody wants him to come. + Though I shall always say he used my daughter extremely ill; and + if I was her, I would not have put up with it. Well, my comfort + is, I am sure Jane will die of a broken heart; and then he will + be sorry for what he has done.” + + But as Elizabeth could not receive comfort from any such + expectation, she made no answer. + + “Well, Lizzy,” continued her mother, soon afterwards, “and so the + Collinses live very comfortable, do they? Well, well, I only hope + it will last. And what sort of table do they keep? Charlotte is + an excellent manager, I dare say. If she is half as sharp as her + mother, she is saving enough. There is nothing extravagant in + _their_ housekeeping, I dare say.” + + “No, nothing at all.” + + “A great deal of good management, depend upon it. Yes, yes. + _They_ will take care not to outrun their income. _They_ will + never be distressed for money. Well, much good may it do them! + And so, I suppose, they often talk of having Longbourn when your + father is dead. They look upon it as quite their own, I dare say, + whenever that happens.” + + “It was a subject which they could not mention before me.” + + “No; it would have been strange if they had; but I make no doubt + they often talk of it between themselves. Well, if they can be + easy with an estate that is not lawfully their own, so much the + better. _I_ should be ashamed of having one that was only + entailed on me.” + + + + + Chapter 41 + + The first week of their return was soon gone. The second began. + It was the last of the regiment’s stay in Meryton, and all the + young ladies in the neighbourhood were drooping apace. The + dejection was almost universal. The elder Miss Bennets alone were + still able to eat, drink, and sleep, and pursue the usual course + of their employments. Very frequently were they reproached for + this insensibility by Kitty and Lydia, whose own misery was + extreme, and who could not comprehend such hard-heartedness in + any of the family. + + “Good Heaven! what is to become of us? What are we to do?” would + they often exclaim in the bitterness of woe. “How can you be + smiling so, Lizzy?” + + Their affectionate mother shared all their grief; she remembered + what she had herself endured on a similar occasion, + five-and-twenty years ago. + + “I am sure,” said she, “I cried for two days together when + Colonel Miller’s regiment went away. I thought I should have + broken my heart.” + + “I am sure I shall break _mine_,” said Lydia. + + “If one could but go to Brighton!” observed Mrs. Bennet. + + “Oh, yes!—if one could but go to Brighton! But papa is so + disagreeable.” + + “A little sea-bathing would set me up forever.” + + “And my aunt Phillips is sure it would do _me_ a great deal of + good,” added Kitty. + + Such were the kind of lamentations resounding perpetually through + Longbourn House. Elizabeth tried to be diverted by them; but all + sense of pleasure was lost in shame. She felt anew the justice of + Mr. Darcy’s objections; and never had she been so much disposed + to pardon his interference in the views of his friend. + + But the gloom of Lydia’s prospect was shortly cleared away; for + she received an invitation from Mrs. Forster, the wife of the + colonel of the regiment, to accompany her to Brighton. This + invaluable friend was a very young woman, and very lately + married. A resemblance in good humour and good spirits had + recommended her and Lydia to each other, and out of their _three_ + months’ acquaintance they had been intimate _two_. + + The rapture of Lydia on this occasion, her adoration of Mrs. + Forster, the delight of Mrs. Bennet, and the mortification of + Kitty, are scarcely to be described. Wholly inattentive to her + sister’s feelings, Lydia flew about the house in restless + ecstasy, calling for everyone’s congratulations, and laughing and + talking with more violence than ever; whilst the luckless Kitty + continued in the parlour repined at her fate in terms as + unreasonable as her accent was peevish. + + “I cannot see why Mrs. Forster should not ask _me_ as well as + Lydia,” said she, “Though I am _not_ her particular friend. I + have just as much right to be asked as she has, and more too, for + I am two years older.” + + In vain did Elizabeth attempt to make her reasonable, and Jane to + make her resigned. As for Elizabeth herself, this invitation was + so far from exciting in her the same feelings as in her mother + and Lydia, that she considered it as the death warrant of all + possibility of common sense for the latter; and detestable as + such a step must make her were it known, she could not help + secretly advising her father not to let her go. She represented + to him all the improprieties of Lydia’s general behaviour, the + little advantage she could derive from the friendship of such a + woman as Mrs. Forster, and the probability of her being yet more + imprudent with such a companion at Brighton, where the + temptations must be greater than at home. He heard her + attentively, and then said: + + “Lydia will never be easy until she has exposed herself in some + public place or other, and we can never expect her to do it with + so little expense or inconvenience to her family as under the + present circumstances.” + + “If you were aware,” said Elizabeth, “of the very great + disadvantage to us all which must arise from the public notice of + Lydia’s unguarded and imprudent manner—nay, which has already + arisen from it, I am sure you would judge differently in the + affair.” + + “Already arisen?” repeated Mr. Bennet. “What, has she frightened + away some of your lovers? Poor little Lizzy! But do not be cast + down. Such squeamish youths as cannot bear to be connected with a + little absurdity are not worth a regret. Come, let me see the + list of pitiful fellows who have been kept aloof by Lydia’s + folly.” + + “Indeed you are mistaken. I have no such injuries to resent. It + is not of particular, but of general evils, which I am now + complaining. Our importance, our respectability in the world must + be affected by the wild volatility, the assurance and disdain of + all restraint which mark Lydia’s character. Excuse me, for I must + speak plainly. If you, my dear father, will not take the trouble + of checking her exuberant spirits, and of teaching her that her + present pursuits are not to be the business of her life, she will + soon be beyond the reach of amendment. Her character will be + fixed, and she will, at sixteen, be the most determined flirt + that ever made herself or her family ridiculous; a flirt, too, in + the worst and meanest degree of flirtation; without any + attraction beyond youth and a tolerable person; and, from the + ignorance and emptiness of her mind, wholly unable to ward off + any portion of that universal contempt which her rage for + admiration will excite. In this danger Kitty also is + comprehended. She will follow wherever Lydia leads. Vain, + ignorant, idle, and absolutely uncontrolled! Oh! my dear father, + can you suppose it possible that they will not be censured and + despised wherever they are known, and that their sisters will not + be often involved in the disgrace?” + + Mr. Bennet saw that her whole heart was in the subject, and + affectionately taking her hand said in reply: + + “Do not make yourself uneasy, my love. Wherever you and Jane are + known you must be respected and valued; and you will not appear + to less advantage for having a couple of—or I may say, three—very + silly sisters. We shall have no peace at Longbourn if Lydia does + not go to Brighton. Let her go, then. Colonel Forster is a + sensible man, and will keep her out of any real mischief; and she + is luckily too poor to be an object of prey to anybody. At + Brighton she will be of less importance even as a common flirt + than she has been here. The officers will find women better worth + their notice. Let us hope, therefore, that her being there may + teach her her own insignificance. At any rate, she cannot grow + many degrees worse, without authorising us to lock her up for the + rest of her life.” + + With this answer Elizabeth was forced to be content; but her own + opinion continued the same, and she left him disappointed and + sorry. It was not in her nature, however, to increase her + vexations by dwelling on them. She was confident of having + performed her duty, and to fret over unavoidable evils, or + augment them by anxiety, was no part of her disposition. + + Had Lydia and her mother known the substance of her conference + with her father, their indignation would hardly have found + expression in their united volubility. In Lydia’s imagination, a + visit to Brighton comprised every possibility of earthly + happiness. She saw, with the creative eye of fancy, the streets + of that gay bathing-place covered with officers. She saw herself + the object of attention, to tens and to scores of them at present + unknown. She saw all the glories of the camp—its tents stretched + forth in beauteous uniformity of lines, crowded with the young + and the gay, and dazzling with scarlet; and, to complete the + view, she saw herself seated beneath a tent, tenderly flirting + with at least six officers at once. + + Had she known her sister sought to tear her from such prospects + and such realities as these, what would have been her sensations? + They could have been understood only by her mother, who might + have felt nearly the same. Lydia’s going to Brighton was all that + consoled her for her melancholy conviction of her husband’s never + intending to go there himself. + + But they were entirely ignorant of what had passed; and their + raptures continued, with little intermission, to the very day of + Lydia’s leaving home. + + Elizabeth was now to see Mr. Wickham for the last time. Having + been frequently in company with him since her return, agitation + was pretty well over; the agitations of former partiality + entirely so. She had even learnt to detect, in the very + gentleness which had first delighted her, an affectation and a + sameness to disgust and weary. In his present behaviour to + herself, moreover, she had a fresh source of displeasure, for the + inclination he soon testified of renewing those intentions which + had marked the early part of their acquaintance could only serve, + after what had since passed, to provoke her. She lost all concern + for him in finding herself thus selected as the object of such + idle and frivolous gallantry; and while she steadily repressed + it, could not but feel the reproof contained in his believing, + that however long, and for whatever cause, his attentions had + been withdrawn, her vanity would be gratified, and her preference + secured at any time by their renewal. + + On the very last day of the regiment’s remaining at Meryton, he + dined, with other of the officers, at Longbourn; and so little + was Elizabeth disposed to part from him in good humour, that on + his making some inquiry as to the manner in which her time had + passed at Hunsford, she mentioned Colonel Fitzwilliam’s and Mr. + Darcy’s having both spent three weeks at Rosings, and asked him, + if he was acquainted with the former. + + He looked surprised, displeased, alarmed; but with a moment’s + recollection and a returning smile, replied, that he had formerly + seen him often; and, after observing that he was a very + gentlemanlike man, asked her how she had liked him. Her answer + was warmly in his favour. With an air of indifference he soon + afterwards added: + + “How long did you say he was at Rosings?” + + “Nearly three weeks.” + + “And you saw him frequently?” + + “Yes, almost every day.” + + “His manners are very different from his cousin’s.” + + “Yes, very different. But I think Mr. Darcy improves upon + acquaintance.” + + “Indeed!” cried Mr. Wickham with a look which did not escape her. + “And pray, may I ask?—” But checking himself, he added, in a + gayer tone, “Is it in address that he improves? Has he deigned to + add aught of civility to his ordinary style?—for I dare not + hope,” he continued in a lower and more serious tone, “that he is + improved in essentials.” + + “Oh, no!” said Elizabeth. “In essentials, I believe, he is very + much what he ever was.” + + While she spoke, Wickham looked as if scarcely knowing whether to + rejoice over her words, or to distrust their meaning. There was a + something in her countenance which made him listen with an + apprehensive and anxious attention, while she added: + + “When I said that he improved on acquaintance, I did not mean + that his mind or his manners were in a state of improvement, but + that, from knowing him better, his disposition was better + understood.” + + Wickham’s alarm now appeared in a heightened complexion and + agitated look; for a few minutes he was silent, till, shaking off + his embarrassment, he turned to her again, and said in the + gentlest of accents: + + “You, who so well know my feeling towards Mr. Darcy, will readily + comprehend how sincerely I must rejoice that he is wise enough to + assume even the _appearance_ of what is right. His pride, in that + direction, may be of service, if not to himself, to many others, + for it must only deter him from such foul misconduct as I have + suffered by. I only fear that the sort of cautiousness to which + you, I imagine, have been alluding, is merely adopted on his + visits to his aunt, of whose good opinion and judgement he stands + much in awe. His fear of her has always operated, I know, when + they were together; and a good deal is to be imputed to his wish + of forwarding the match with Miss de Bourgh, which I am certain + he has very much at heart.” + + Elizabeth could not repress a smile at this, but she answered + only by a slight inclination of the head. She saw that he wanted + to engage her on the old subject of his grievances, and she was + in no humour to indulge him. The rest of the evening passed with + the _appearance_, on his side, of usual cheerfulness, but with no + further attempt to distinguish Elizabeth; and they parted at last + with mutual civility, and possibly a mutual desire of never + meeting again. + + When the party broke up, Lydia returned with Mrs. Forster to + Meryton, from whence they were to set out early the next morning. + The separation between her and her family was rather noisy than + pathetic. Kitty was the only one who shed tears; but she did weep + from vexation and envy. Mrs. Bennet was diffuse in her good + wishes for the felicity of her daughter, and impressive in her + injunctions that she should not miss the opportunity of enjoying + herself as much as possible—advice which there was every reason + to believe would be well attended to; and in the clamorous + happiness of Lydia herself in bidding farewell, the more gentle + adieus of her sisters were uttered without being heard. + + + + + Chapter 42 + + Had Elizabeth’s opinion been all drawn from her own family, she + could not have formed a very pleasing opinion of conjugal + felicity or domestic comfort. Her father, captivated by youth and + beauty, and that appearance of good humour which youth and beauty + generally give, had married a woman whose weak understanding and + illiberal mind had very early in their marriage put an end to all + real affection for her. Respect, esteem, and confidence had + vanished for ever; and all his views of domestic happiness were + overthrown. But Mr. Bennet was not of a disposition to seek + comfort for the disappointment which his own imprudence had + brought on, in any of those pleasures which too often console the + unfortunate for their folly or their vice. He was fond of the + country and of books; and from these tastes had arisen his + principal enjoyments. To his wife he was very little otherwise + indebted, than as her ignorance and folly had contributed to his + amusement. This is not the sort of happiness which a man would in + general wish to owe to his wife; but where other powers of + entertainment are wanting, the true philosopher will derive + benefit from such as are given. + + Elizabeth, however, had never been blind to the impropriety of + her father’s behaviour as a husband. She had always seen it with + pain; but respecting his abilities, and grateful for his + affectionate treatment of herself, she endeavoured to forget what + she could not overlook, and to banish from her thoughts that + continual breach of conjugal obligation and decorum which, in + exposing his wife to the contempt of her own children, was so + highly reprehensible. But she had never felt so strongly as now + the disadvantages which must attend the children of so unsuitable + a marriage, nor ever been so fully aware of the evils arising + from so ill-judged a direction of talents; talents, which, + rightly used, might at least have preserved the respectability of + his daughters, even if incapable of enlarging the mind of his + wife. + + When Elizabeth had rejoiced over Wickham’s departure she found + little other cause for satisfaction in the loss of the regiment. + Their parties abroad were less varied than before, and at home + she had a mother and sister whose constant repinings at the + dullness of everything around them threw a real gloom over their + domestic circle; and, though Kitty might in time regain her + natural degree of sense, since the disturbers of her brain were + removed, her other sister, from whose disposition greater evil + might be apprehended, was likely to be hardened in all her folly + and assurance by a situation of such double danger as a + watering-place and a camp. Upon the whole, therefore, she found, + what has been sometimes found before, that an event to which she + had been looking with impatient desire did not, in taking place, + bring all the satisfaction she had promised herself. It was + consequently necessary to name some other period for the + commencement of actual felicity—to have some other point on which + her wishes and hopes might be fixed, and by again enjoying the + pleasure of anticipation, console herself for the present, and + prepare for another disappointment. Her tour to the Lakes was now + the object of her happiest thoughts; it was her best consolation + for all the uncomfortable hours which the discontentedness of her + mother and Kitty made inevitable; and could she have included + Jane in the scheme, every part of it would have been perfect. + + “But it is fortunate,” thought she, “that I have something to + wish for. Were the whole arrangement complete, my disappointment + would be certain. But here, by carrying with me one ceaseless + source of regret in my sister’s absence, I may reasonably hope to + have all my expectations of pleasure realised. A scheme of which + every part promises delight can never be successful; and general + disappointment is only warded off by the defence of some little + peculiar vexation.” + + When Lydia went away she promised to write very often and very + minutely to her mother and Kitty; but her letters were always + long expected, and always very short. Those to her mother + contained little else than that they were just returned from the + library, where such and such officers had attended them, and + where she had seen such beautiful ornaments as made her quite + wild; that she had a new gown, or a new parasol, which she would + have described more fully, but was obliged to leave off in a + violent hurry, as Mrs. Forster called her, and they were going + off to the camp; and from her correspondence with her sister, + there was still less to be learnt—for her letters to Kitty, + though rather longer, were much too full of lines under the words + to be made public. + + After the first fortnight or three weeks of her absence, health, + good humour, and cheerfulness began to reappear at Longbourn. + Everything wore a happier aspect. The families who had been in + town for the winter came back again, and summer finery and summer + engagements arose. Mrs. Bennet was restored to her usual + querulous serenity; and, by the middle of June, Kitty was so much + recovered as to be able to enter Meryton without tears; an event + of such happy promise as to make Elizabeth hope that by the + following Christmas she might be so tolerably reasonable as not + to mention an officer above once a day, unless, by some cruel and + malicious arrangement at the War Office, another regiment should + be quartered in Meryton. + + The time fixed for the beginning of their northern tour was now + fast approaching, and a fortnight only was wanting of it, when a + letter arrived from Mrs. Gardiner, which at once delayed its + commencement and curtailed its extent. Mr. Gardiner would be + prevented by business from setting out till a fortnight later in + July, and must be in London again within a month, and as that + left too short a period for them to go so far, and see so much as + they had proposed, or at least to see it with the leisure and + comfort they had built on, they were obliged to give up the + Lakes, and substitute a more contracted tour, and, according to + the present plan, were to go no farther northwards than + Derbyshire. In that county there was enough to be seen to occupy + the chief of their three weeks; and to Mrs. Gardiner it had a + peculiarly strong attraction. The town where she had formerly + passed some years of her life, and where they were now to spend a + few days, was probably as great an object of her curiosity as all + the celebrated beauties of Matlock, Chatsworth, Dovedale, or the + Peak. + + Elizabeth was excessively disappointed; she had set her heart on + seeing the Lakes, and still thought there might have been time + enough. But it was her business to be satisfied—and certainly her + temper to be happy; and all was soon right again. + + With the mention of Derbyshire there were many ideas connected. + It was impossible for her to see the word without thinking of + Pemberley and its owner. “But surely,” said she, “I may enter his + county with impunity, and rob it of a few petrified spars without + his perceiving me.” + + The period of expectation was now doubled. Four weeks were to + pass away before her uncle and aunt’s arrival. But they did pass + away, and Mr. and Mrs. Gardiner, with their four children, did at + length appear at Longbourn. The children, two girls of six and + eight years old, and two younger boys, were to be left under the + particular care of their cousin Jane, who was the general + favourite, and whose steady sense and sweetness of temper exactly + adapted her for attending to them in every way—teaching them, + playing with them, and loving them. + + The Gardiners stayed only one night at Longbourn, and set off the + next morning with Elizabeth in pursuit of novelty and amusement. + One enjoyment was certain—that of suitableness of companions; a + suitableness which comprehended health and temper to bear + inconveniences—cheerfulness to enhance every pleasure—and + affection and intelligence, which might supply it among + themselves if there were disappointments abroad. + + It is not the object of this work to give a description of + Derbyshire, nor of any of the remarkable places through which + their route thither lay; Oxford, Blenheim, Warwick, Kenilworth, + Birmingham, etc. are sufficiently known. A small part of + Derbyshire is all the present concern. To the little town of + Lambton, the scene of Mrs. Gardiner’s former residence, and where + she had lately learned some acquaintance still remained, they + bent their steps, after having seen all the principal wonders of + the country; and within five miles of Lambton, Elizabeth found + from her aunt that Pemberley was situated. It was not in their + direct road, nor more than a mile or two out of it. In talking + over their route the evening before, Mrs. Gardiner expressed an + inclination to see the place again. Mr. Gardiner declared his + willingness, and Elizabeth was applied to for her approbation. + + “My love, should not you like to see a place of which you have + heard so much?” said her aunt; “a place, too, with which so many + of your acquaintances are connected. Wickham passed all his youth + there, you know.” + + Elizabeth was distressed. She felt that she had no business at + Pemberley, and was obliged to assume a disinclination for seeing + it. She must own that she was tired of seeing great houses; after + going over so many, she really had no pleasure in fine carpets or + satin curtains. + + Mrs. Gardiner abused her stupidity. “If it were merely a fine + house richly furnished,” said she, “I should not care about it + myself; but the grounds are delightful. They have some of the + finest woods in the country.” + + Elizabeth said no more—but her mind could not acquiesce. The + possibility of meeting Mr. Darcy, while viewing the place, + instantly occurred. It would be dreadful! She blushed at the very + idea, and thought it would be better to speak openly to her aunt + than to run such a risk. But against this there were objections; + and she finally resolved that it could be the last resource, if + her private inquiries to the absence of the family were + unfavourably answered. + + Accordingly, when she retired at night, she asked the chambermaid + whether Pemberley were not a very fine place? what was the name + of its proprietor? and, with no little alarm, whether the family + were down for the summer? A most welcome negative followed the + last question—and her alarms now being removed, she was at + leisure to feel a great deal of curiosity to see the house + herself; and when the subject was revived the next morning, and + she was again applied to, could readily answer, and with a proper + air of indifference, that she had not really any dislike to the + scheme. To Pemberley, therefore, they were to go. + + + + + Chapter 43 + + Elizabeth, as they drove along, watched for the first appearance + of Pemberley Woods with some perturbation; and when at length + they turned in at the lodge, her spirits were in a high flutter. + + The park was very large, and contained great variety of ground. + They entered it in one of its lowest points, and drove for some + time through a beautiful wood stretching over a wide extent. + + Elizabeth’s mind was too full for conversation, but she saw and + admired every remarkable spot and point of view. They gradually + ascended for half-a-mile, and then found themselves at the top of + a considerable eminence, where the wood ceased, and the eye was + instantly caught by Pemberley House, situated on the opposite + side of a valley, into which the road with some abruptness wound. + It was a large, handsome stone building, standing well on rising + ground, and backed by a ridge of high woody hills; and in front, + a stream of some natural importance was swelled into greater, but + without any artificial appearance. Its banks were neither formal + nor falsely adorned. Elizabeth was delighted. She had never seen + a place for which nature had done more, or where natural beauty + had been so little counteracted by an awkward taste. They were + all of them warm in their admiration; and at that moment she felt + that to be mistress of Pemberley might be something! + + They descended the hill, crossed the bridge, and drove to the + door; and, while examining the nearer aspect of the house, all + her apprehension of meeting its owner returned. She dreaded lest + the chambermaid had been mistaken. On applying to see the place, + they were admitted into the hall; and Elizabeth, as they waited + for the housekeeper, had leisure to wonder at her being where she + was. + + The housekeeper came; a respectable-looking elderly woman, much + less fine, and more civil, than she had any notion of finding + her. They followed her into the dining-parlour. It was a large, + well proportioned room, handsomely fitted up. Elizabeth, after + slightly surveying it, went to a window to enjoy its prospect. + The hill, crowned with wood, which they had descended, receiving + increased abruptness from the distance, was a beautiful object. + Every disposition of the ground was good; and she looked on the + whole scene, the river, the trees scattered on its banks and the + winding of the valley, as far as she could trace it, with + delight. As they passed into other rooms these objects were + taking different positions; but from every window there were + beauties to be seen. The rooms were lofty and handsome, and their + furniture suitable to the fortune of its proprietor; but + Elizabeth saw, with admiration of his taste, that it was neither + gaudy nor uselessly fine; with less of splendour, and more real + elegance, than the furniture of Rosings. + + “And of this place,” thought she, “I might have been mistress! + With these rooms I might now have been familiarly acquainted! + Instead of viewing them as a stranger, I might have rejoiced in + them as my own, and welcomed to them as visitors my uncle and + aunt. But no,”—recollecting herself—“that could never be; my + uncle and aunt would have been lost to me; I should not have been + allowed to invite them.” + + This was a lucky recollection—it saved her from something very + like regret. + + She longed to inquire of the housekeeper whether her master was + really absent, but had not the courage for it. At length however, + the question was asked by her uncle; and she turned away with + alarm, while Mrs. Reynolds replied that he was, adding, “But we + expect him to-morrow, with a large party of friends.” How + rejoiced was Elizabeth that their own journey had not by any + circumstance been delayed a day! + + Her aunt now called her to look at a picture. She approached and + saw the likeness of Mr. Wickham, suspended, amongst several other + miniatures, over the mantelpiece. Her aunt asked her, smilingly, + how she liked it. The housekeeper came forward, and told them it + was a picture of a young gentleman, the son of her late master’s + steward, who had been brought up by him at his own expense. “He + is now gone into the army,” she added; “but I am afraid he has + turned out very wild.” + + Mrs. Gardiner looked at her niece with a smile, but Elizabeth + could not return it. + + “And that,” said Mrs. Reynolds, pointing to another of the + miniatures, “is my master—and very like him. It was drawn at the + same time as the other—about eight years ago.” + + “I have heard much of your master’s fine person,” said Mrs. + Gardiner, looking at the picture; “it is a handsome face. But, + Lizzy, you can tell us whether it is like or not.” + + Mrs. Reynolds respect for Elizabeth seemed to increase on this + intimation of her knowing her master. + + “Does that young lady know Mr. Darcy?” + + Elizabeth coloured, and said: “A little.” + + “And do not you think him a very handsome gentleman, ma’am?” + + “Yes, very handsome.” + + “I am sure _I_ know none so handsome; but in the gallery up + stairs you will see a finer, larger picture of him than this. + This room was my late master’s favourite room, and these + miniatures are just as they used to be then. He was very fond of + them.” + + This accounted to Elizabeth for Mr. Wickham’s being among them. + + Mrs. Reynolds then directed their attention to one of Miss Darcy, + drawn when she was only eight years old. + + “And is Miss Darcy as handsome as her brother?” said Mrs. + Gardiner. + + “Oh! yes—the handsomest young lady that ever was seen; and so + accomplished!—She plays and sings all day long. In the next room + is a new instrument just come down for her—a present from my + master; she comes here to-morrow with him.” + + Mr. Gardiner, whose manners were very easy and pleasant, + encouraged her communicativeness by his questions and remarks; + Mrs. Reynolds, either by pride or attachment, had evidently great + pleasure in talking of her master and his sister. + + “Is your master much at Pemberley in the course of the year?” + + “Not so much as I could wish, sir; but I dare say he may spend + half his time here; and Miss Darcy is always down for the summer + months.” + + “Except,” thought Elizabeth, “when she goes to Ramsgate.” + + “If your master would marry, you might see more of him.” + + “Yes, sir; but I do not know when _that_ will be. I do not know + who is good enough for him.” + + Mr. and Mrs. Gardiner smiled. Elizabeth could not help saying, + “It is very much to his credit, I am sure, that you should think + so.” + + “I say no more than the truth, and everybody will say that knows + him,” replied the other. Elizabeth thought this was going pretty + far; and she listened with increasing astonishment as the + housekeeper added, “I have never known a cross word from him in + my life, and I have known him ever since he was four years old.” + + This was praise, of all others most extraordinary, most opposite + to her ideas. That he was not a good-tempered man had been her + firmest opinion. Her keenest attention was awakened; she longed + to hear more, and was grateful to her uncle for saying: + + “There are very few people of whom so much can be said. You are + lucky in having such a master.” + + “Yes, sir, I know I am. If I were to go through the world, I + could not meet with a better. But I have always observed, that + they who are good-natured when children, are good-natured when + they grow up; and he was always the sweetest-tempered, most + generous-hearted boy in the world.” + + Elizabeth almost stared at her. “Can this be Mr. Darcy?” thought + she. + + “His father was an excellent man,” said Mrs. Gardiner. + + “Yes, ma’am, that he was indeed; and his son will be just like + him—just as affable to the poor.” + + Elizabeth listened, wondered, doubted, and was impatient for + more. Mrs. Reynolds could interest her on no other point. She + related the subjects of the pictures, the dimensions of the + rooms, and the price of the furniture, in vain. Mr. Gardiner, + highly amused by the kind of family prejudice to which he + attributed her excessive commendation of her master, soon led + again to the subject; and she dwelt with energy on his many + merits as they proceeded together up the great staircase. + + “He is the best landlord, and the best master,” said she, “that + ever lived; not like the wild young men nowadays, who think of + nothing but themselves. There is not one of his tenants or + servants but will give him a good name. Some people call him + proud; but I am sure I never saw anything of it. To my fancy, it + is only because he does not rattle away like other young men.” + + “In what an amiable light does this place him!” thought + Elizabeth. + + “This fine account of him,” whispered her aunt as they walked, + “is not quite consistent with his behaviour to our poor friend.” + + “Perhaps we might be deceived.” + + “That is not very likely; our authority was too good.” + + On reaching the spacious lobby above they were shown into a very + pretty sitting-room, lately fitted up with greater elegance and + lightness than the apartments below; and were informed that it + was but just done to give pleasure to Miss Darcy, who had taken a + liking to the room when last at Pemberley. + + “He is certainly a good brother,” said Elizabeth, as she walked + towards one of the windows. + + Mrs. Reynolds anticipated Miss Darcy’s delight, when she should + enter the room. “And this is always the way with him,” she added. + “Whatever can give his sister any pleasure is sure to be done in + a moment. There is nothing he would not do for her.” + + The picture-gallery, and two or three of the principal bedrooms, + were all that remained to be shown. In the former were many good + paintings; but Elizabeth knew nothing of the art; and from such + as had been already visible below, she had willingly turned to + look at some drawings of Miss Darcy’s, in crayons, whose subjects + were usually more interesting, and also more intelligible. + + In the gallery there were many family portraits, but they could + have little to fix the attention of a stranger. Elizabeth walked + in quest of the only face whose features would be known to her. + At last it arrested her—and she beheld a striking resemblance to + Mr. Darcy, with such a smile over the face as she remembered to + have sometimes seen when he looked at her. She stood several + minutes before the picture, in earnest contemplation, and + returned to it again before they quitted the gallery. Mrs. + Reynolds informed them that it had been taken in his father’s + lifetime. + + There was certainly at this moment, in Elizabeth’s mind, a more + gentle sensation towards the original than she had ever felt at + the height of their acquaintance. The commendation bestowed on + him by Mrs. Reynolds was of no trifling nature. What praise is + more valuable than the praise of an intelligent servant? As a + brother, a landlord, a master, she considered how many people’s + happiness were in his guardianship!—how much of pleasure or pain + was it in his power to bestow!—how much of good or evil must be + done by him! Every idea that had been brought forward by the + housekeeper was favourable to his character, and as she stood + before the canvas on which he was represented, and fixed his eyes + upon herself, she thought of his regard with a deeper sentiment + of gratitude than it had ever raised before; she remembered its + warmth, and softened its impropriety of expression. + + When all of the house that was open to general inspection had + been seen, they returned downstairs, and, taking leave of the + housekeeper, were consigned over to the gardener, who met them at + the hall-door. + + As they walked across the hall towards the river, Elizabeth + turned back to look again; her uncle and aunt stopped also, and + while the former was conjecturing as to the date of the building, + the owner of it himself suddenly came forward from the road, + which led behind it to the stables. + + They were within twenty yards of each other, and so abrupt was + his appearance, that it was impossible to avoid his sight. Their + eyes instantly met, and the cheeks of both were overspread with + the deepest blush. He absolutely started, and for a moment seemed + immovable from surprise; but shortly recovering himself, advanced + towards the party, and spoke to Elizabeth, if not in terms of + perfect composure, at least of perfect civility. + + She had instinctively turned away; but stopping on his approach, + received his compliments with an embarrassment impossible to be + overcome. Had his first appearance, or his resemblance to the + picture they had just been examining, been insufficient to assure + the other two that they now saw Mr. Darcy, the gardener’s + expression of surprise, on beholding his master, must immediately + have told it. They stood a little aloof while he was talking to + their niece, who, astonished and confused, scarcely dared lift + her eyes to his face, and knew not what answer she returned to + his civil inquiries after her family. Amazed at the alteration of + his manner since they last parted, every sentence that he uttered + was increasing her embarrassment; and every idea of the + impropriety of her being found there recurring to her mind, the + few minutes in which they continued were some of the most + uncomfortable in her life. Nor did he seem much more at ease; + when he spoke, his accent had none of its usual sedateness; and + he repeated his inquiries as to the time of her having left + Longbourn, and of her having stayed in Derbyshire, so often, and + in so hurried a way, as plainly spoke the distraction of his + thoughts. + + At length every idea seemed to fail him; and, after standing a + few moments without saying a word, he suddenly recollected + himself, and took leave. + + The others then joined her, and expressed admiration of his + figure; but Elizabeth heard not a word, and wholly engrossed by + her own feelings, followed them in silence. She was overpowered + by shame and vexation. Her coming there was the most unfortunate, + the most ill-judged thing in the world! How strange it must + appear to him! In what a disgraceful light might it not strike so + vain a man! It might seem as if she had purposely thrown herself + in his way again! Oh! why did she come? Or, why did he thus come + a day before he was expected? Had they been only ten minutes + sooner, they should have been beyond the reach of his + discrimination; for it was plain that he was that moment + arrived—that moment alighted from his horse or his carriage. She + blushed again and again over the perverseness of the meeting. And + his behaviour, so strikingly altered—what could it mean? That he + should even speak to her was amazing!—but to speak with such + civility, to inquire after her family! Never in her life had she + seen his manners so little dignified, never had he spoken with + such gentleness as on this unexpected meeting. What a contrast + did it offer to his last address in Rosings Park, when he put his + letter into her hand! She knew not what to think, or how to + account for it. + + They had now entered a beautiful walk by the side of the water, + and every step was bringing forward a nobler fall of ground, or a + finer reach of the woods to which they were approaching; but it + was some time before Elizabeth was sensible of any of it; and, + though she answered mechanically to the repeated appeals of her + uncle and aunt, and seemed to direct her eyes to such objects as + they pointed out, she distinguished no part of the scene. Her + thoughts were all fixed on that one spot of Pemberley House, + whichever it might be, where Mr. Darcy then was. She longed to + know what at the moment was passing in his mind—in what manner he + thought of her, and whether, in defiance of everything, she was + still dear to him. Perhaps he had been civil only because he felt + himself at ease; yet there had been _that_ in his voice which was + not like ease. Whether he had felt more of pain or of pleasure in + seeing her she could not tell, but he certainly had not seen her + with composure. + + At length, however, the remarks of her companions on her absence + of mind aroused her, and she felt the necessity of appearing more + like herself. + + They entered the woods, and bidding adieu to the river for a + while, ascended some of the higher grounds; when, in spots where + the opening of the trees gave the eye power to wander, were many + charming views of the valley, the opposite hills, with the long + range of woods overspreading many, and occasionally part of the + stream. Mr. Gardiner expressed a wish of going round the whole + park, but feared it might be beyond a walk. With a triumphant + smile they were told that it was ten miles round. It settled the + matter; and they pursued the accustomed circuit; which brought + them again, after some time, in a descent among hanging woods, to + the edge of the water, and one of its narrowest parts. They + crossed it by a simple bridge, in character with the general air + of the scene; it was a spot less adorned than any they had yet + visited; and the valley, here contracted into a glen, allowed + room only for the stream, and a narrow walk amidst the rough + coppice-wood which bordered it. Elizabeth longed to explore its + windings; but when they had crossed the bridge, and perceived + their distance from the house, Mrs. Gardiner, who was not a great + walker, could go no farther, and thought only of returning to the + carriage as quickly as possible. Her niece was, therefore, + obliged to submit, and they took their way towards the house on + the opposite side of the river, in the nearest direction; but + their progress was slow, for Mr. Gardiner, though seldom able to + indulge the taste, was very fond of fishing, and was so much + engaged in watching the occasional appearance of some trout in + the water, and talking to the man about them, that he advanced + but little. Whilst wandering on in this slow manner, they were + again surprised, and Elizabeth’s astonishment was quite equal to + what it had been at first, by the sight of Mr. Darcy approaching + them, and at no great distance. The walk here being here less + sheltered than on the other side, allowed them to see him before + they met. Elizabeth, however astonished, was at least more + prepared for an interview than before, and resolved to appear and + to speak with calmness, if he really intended to meet them. For a + few moments, indeed, she felt that he would probably strike into + some other path. The idea lasted while a turning in the walk + concealed him from their view; the turning past, he was + immediately before them. With a glance, she saw that he had lost + none of his recent civility; and, to imitate his politeness, she + began, as they met, to admire the beauty of the place; but she + had not got beyond the words “delightful,” and “charming,” when + some unlucky recollections obtruded, and she fancied that praise + of Pemberley from her might be mischievously construed. Her + colour changed, and she said no more. + + Mrs. Gardiner was standing a little behind; and on her pausing, + he asked her if she would do him the honour of introducing him to + her friends. This was a stroke of civility for which she was + quite unprepared; and she could hardly suppress a smile at his + being now seeking the acquaintance of some of those very people + against whom his pride had revolted in his offer to herself. + “What will be his surprise,” thought she, “when he knows who they + are? He takes them now for people of fashion.” + + The introduction, however, was immediately made; and as she named + their relationship to herself, she stole a sly look at him, to + see how he bore it, and was not without the expectation of his + decamping as fast as he could from such disgraceful companions. + That he was _surprised_ by the connection was evident; he + sustained it, however, with fortitude, and so far from going + away, turned back with them, and entered into conversation with + Mr. Gardiner. Elizabeth could not but be pleased, could not but + triumph. It was consoling that he should know she had some + relations for whom there was no need to blush. She listened most + attentively to all that passed between them, and gloried in every + expression, every sentence of her uncle, which marked his + intelligence, his taste, or his good manners. + + The conversation soon turned upon fishing; and she heard Mr. + Darcy invite him, with the greatest civility, to fish there as + often as he chose while he continued in the neighbourhood, + offering at the same time to supply him with fishing tackle, and + pointing out those parts of the stream where there was usually + most sport. Mrs. Gardiner, who was walking arm-in-arm with + Elizabeth, gave her a look expressive of wonder. Elizabeth said + nothing, but it gratified her exceedingly; the compliment must be + all for herself. Her astonishment, however, was extreme, and + continually was she repeating, “Why is he so altered? From what + can it proceed? It cannot be for _me_—it cannot be for _my_ sake + that his manners are thus softened. My reproofs at Hunsford could + not work such a change as this. It is impossible that he should + still love me.” + + After walking some time in this way, the two ladies in front, the + two gentlemen behind, on resuming their places, after descending + to the brink of the river for the better inspection of some + curious water-plant, there chanced to be a little alteration. It + originated in Mrs. Gardiner, who, fatigued by the exercise of the + morning, found Elizabeth’s arm inadequate to her support, and + consequently preferred her husband’s. Mr. Darcy took her place by + her niece, and they walked on together. After a short silence, + the lady first spoke. She wished him to know that she had been + assured of his absence before she came to the place, and + accordingly began by observing, that his arrival had been very + unexpected—“for your housekeeper,” she added, “informed us that + you would certainly not be here till to-morrow; and indeed, + before we left Bakewell, we understood that you were not + immediately expected in the country.” He acknowledged the truth + of it all, and said that business with his steward had occasioned + his coming forward a few hours before the rest of the party with + whom he had been travelling. “They will join me early to-morrow,” + he continued, “and among them are some who will claim an + acquaintance with you—Mr. Bingley and his sisters.” + + Elizabeth answered only by a slight bow. Her thoughts were + instantly driven back to the time when Mr. Bingley’s name had + been the last mentioned between them; and, if she might judge by + his complexion, _his_ mind was not very differently engaged. + + “There is also one other person in the party,” he continued after + a pause, “who more particularly wishes to be known to you. Will + you allow me, or do I ask too much, to introduce my sister to + your acquaintance during your stay at Lambton?” + + The surprise of such an application was great indeed; it was too + great for her to know in what manner she acceded to it. She + immediately felt that whatever desire Miss Darcy might have of + being acquainted with her must be the work of her brother, and, + without looking farther, it was satisfactory; it was gratifying + to know that his resentment had not made him think really ill of + her. + + They now walked on in silence, each of them deep in thought. + Elizabeth was not comfortable; that was impossible; but she was + flattered and pleased. His wish of introducing his sister to her + was a compliment of the highest kind. They soon outstripped the + others, and when they had reached the carriage, Mr. and Mrs. + Gardiner were half a quarter of a mile behind. + + He then asked her to walk into the house—but she declared herself + not tired, and they stood together on the lawn. At such a time + much might have been said, and silence was very awkward. She + wanted to talk, but there seemed to be an embargo on every + subject. At last she recollected that she had been travelling, + and they talked of Matlock and Dove Dale with great perseverance. + Yet time and her aunt moved slowly—and her patience and her ideas + were nearly worn out before the _tête-à-tête_ was over. + + On Mr. and Mrs. Gardiner’s coming up they were all pressed to go + into the house and take some refreshment; but this was declined, + and they parted on each side with utmost politeness. Mr. Darcy + handed the ladies into the carriage; and when it drove off, + Elizabeth saw him walking slowly towards the house. + + The observations of her uncle and aunt now began; and each of + them pronounced him to be infinitely superior to anything they + had expected. “He is perfectly well behaved, polite, and + unassuming,” said her uncle. + + “There _is_ something a little stately in him, to be sure,” + replied her aunt, “but it is confined to his air, and is not + unbecoming. I can now say with the housekeeper, that though some + people may call him proud, _I_ have seen nothing of it.” + + “I was never more surprised than by his behaviour to us. It was + more than civil; it was really attentive; and there was no + necessity for such attention. His acquaintance with Elizabeth was + very trifling.” + + “To be sure, Lizzy,” said her aunt, “he is not so handsome as + Wickham; or, rather, he has not Wickham’s countenance, for his + features are perfectly good. But how came you to tell me that he + was so disagreeable?” + + Elizabeth excused herself as well as she could; said that she had + liked him better when they had met in Kent than before, and that + she had never seen him so pleasant as this morning. + + “But perhaps he may be a little whimsical in his civilities,” + replied her uncle. “Your great men often are; and therefore I + shall not take him at his word, as he might change his mind + another day, and warn me off his grounds.” + + Elizabeth felt that they had entirely misunderstood his + character, but said nothing. + + “From what we have seen of him,” continued Mrs. Gardiner, “I + really should not have thought that he could have behaved in so + cruel a way by anybody as he has done by poor Wickham. He has not + an ill-natured look. On the contrary, there is something pleasing + about his mouth when he speaks. And there is something of dignity + in his countenance that would not give one an unfavourable idea + of his heart. But, to be sure, the good lady who showed us his + house did give him a most flaming character! I could hardly help + laughing aloud sometimes. But he is a liberal master, I suppose, + and _that_ in the eye of a servant comprehends every virtue.” + + Elizabeth here felt herself called on to say something in + vindication of his behaviour to Wickham; and therefore gave them + to understand, in as guarded a manner as she could, that by what + she had heard from his relations in Kent, his actions were + capable of a very different construction; and that his character + was by no means so faulty, nor Wickham’s so amiable, as they had + been considered in Hertfordshire. In confirmation of this, she + related the particulars of all the pecuniary transactions in + which they had been connected, without actually naming her + authority, but stating it to be such as might be relied on. + + Mrs. Gardiner was surprised and concerned; but as they were now + approaching the scene of her former pleasures, every idea gave + way to the charm of recollection; and she was too much engaged in + pointing out to her husband all the interesting spots in its + environs to think of anything else. Fatigued as she had been by + the morning’s walk they had no sooner dined than she set off + again in quest of her former acquaintance, and the evening was + spent in the satisfactions of an intercourse renewed after many + years’ discontinuance. + + The occurrences of the day were too full of interest to leave + Elizabeth much attention for any of these new friends; and she + could do nothing but think, and think with wonder, of Mr. Darcy’s + civility, and, above all, of his wishing her to be acquainted + with his sister. + + + + + Chapter 44 + + Elizabeth had settled it that Mr. Darcy would bring his sister to + visit her the very day after her reaching Pemberley; and was + consequently resolved not to be out of sight of the inn the whole + of that morning. But her conclusion was false; for on the very + morning after their arrival at Lambton, these visitors came. They + had been walking about the place with some of their new friends, + and were just returning to the inn to dress themselves for dining + with the same family, when the sound of a carriage drew them to a + window, and they saw a gentleman and a lady in a curricle driving + up the street. Elizabeth immediately recognizing the livery, + guessed what it meant, and imparted no small degree of her + surprise to her relations by acquainting them with the honour + which she expected. Her uncle and aunt were all amazement; and + the embarrassment of her manner as she spoke, joined to the + circumstance itself, and many of the circumstances of the + preceding day, opened to them a new idea on the business. Nothing + had ever suggested it before, but they felt that there was no + other way of accounting for such attentions from such a quarter + than by supposing a partiality for their niece. While these + newly-born notions were passing in their heads, the perturbation + of Elizabeth’s feelings was at every moment increasing. She was + quite amazed at her own discomposure; but amongst other causes of + disquiet, she dreaded lest the partiality of the brother should + have said too much in her favour; and, more than commonly anxious + to please, she naturally suspected that every power of pleasing + would fail her. + + She retreated from the window, fearful of being seen; and as she + walked up and down the room, endeavouring to compose herself, saw + such looks of inquiring surprise in her uncle and aunt as made + everything worse. + + Miss Darcy and her brother appeared, and this formidable + introduction took place. With astonishment did Elizabeth see that + her new acquaintance was at least as much embarrassed as herself. + Since her being at Lambton, she had heard that Miss Darcy was + exceedingly proud; but the observation of a very few minutes + convinced her that she was only exceedingly shy. She found it + difficult to obtain even a word from her beyond a monosyllable. + + Miss Darcy was tall, and on a larger scale than Elizabeth; and, + though little more than sixteen, her figure was formed, and her + appearance womanly and graceful. She was less handsome than her + brother; but there was sense and good humour in her face, and her + manners were perfectly unassuming and gentle. Elizabeth, who had + expected to find in her as acute and unembarrassed an observer as + ever Mr. Darcy had been, was much relieved by discerning such + different feelings. + + They had not long been together before Mr. Darcy told her that + Bingley was also coming to wait on her; and she had barely time + to express her satisfaction, and prepare for such a visitor, when + Bingley’s quick step was heard on the stairs, and in a moment he + entered the room. All Elizabeth’s anger against him had been long + done away; but had she still felt any, it could hardly have stood + its ground against the unaffected cordiality with which he + expressed himself on seeing her again. He inquired in a friendly, + though general way, after her family, and looked and spoke with + the same good-humoured ease that he had ever done. + + To Mr. and Mrs. Gardiner he was scarcely a less interesting + personage than to herself. They had long wished to see him. The + whole party before them, indeed, excited a lively attention. The + suspicions which had just arisen of Mr. Darcy and their niece + directed their observation towards each with an earnest though + guarded inquiry; and they soon drew from those inquiries the full + conviction that one of them at least knew what it was to love. Of + the lady’s sensations they remained a little in doubt; but that + the gentleman was overflowing with admiration was evident enough. + + Elizabeth, on her side, had much to do. She wanted to ascertain + the feelings of each of her visitors; she wanted to compose her + own, and to make herself agreeable to all; and in the latter + object, where she feared most to fail, she was most sure of + success, for those to whom she endeavoured to give pleasure were + prepossessed in her favour. Bingley was ready, Georgiana was + eager, and Darcy determined, to be pleased. + + In seeing Bingley, her thoughts naturally flew to her sister; + and, oh! how ardently did she long to know whether any of his + were directed in a like manner. Sometimes she could fancy that he + talked less than on former occasions, and once or twice pleased + herself with the notion that, as he looked at her, he was trying + to trace a resemblance. But, though this might be imaginary, she + could not be deceived as to his behaviour to Miss Darcy, who had + been set up as a rival to Jane. No look appeared on either side + that spoke particular regard. Nothing occurred between them that + could justify the hopes of his sister. On this point she was soon + satisfied; and two or three little circumstances occurred ere + they parted, which, in her anxious interpretation, denoted a + recollection of Jane not untinctured by tenderness, and a wish of + saying more that might lead to the mention of her, had he dared. + He observed to her, at a moment when the others were talking + together, and in a tone which had something of real regret, that + it “was a very long time since he had had the pleasure of seeing + her;” and, before she could reply, he added, “It is above eight + months. We have not met since the 26th of November, when we were + all dancing together at Netherfield.” + + Elizabeth was pleased to find his memory so exact; and he + afterwards took occasion to ask her, when unattended to by any of + the rest, whether _all_ her sisters were at Longbourn. There was + not much in the question, nor in the preceding remark; but there + was a look and a manner which gave them meaning. + + It was not often that she could turn her eyes on Mr. Darcy + himself; but, whenever she did catch a glimpse, she saw an + expression of general complaisance, and in all that he said she + heard an accent so removed from _hauteur_ or disdain of his + companions, as convinced her that the improvement of manners + which she had yesterday witnessed however temporary its existence + might prove, had at least outlived one day. When she saw him thus + seeking the acquaintance and courting the good opinion of people + with whom any intercourse a few months ago would have been a + disgrace—when she saw him thus civil, not only to herself, but to + the very relations whom he had openly disdained, and recollected + their last lively scene in Hunsford Parsonage—the difference, the + change was so great, and struck so forcibly on her mind, that she + could hardly restrain her astonishment from being visible. Never, + even in the company of his dear friends at Netherfield, or his + dignified relations at Rosings, had she seen him so desirous to + please, so free from self-consequence or unbending reserve, as + now, when no importance could result from the success of his + endeavours, and when even the acquaintance of those to whom his + attentions were addressed would draw down the ridicule and + censure of the ladies both of Netherfield and Rosings. + + Their visitors stayed with them above half-an-hour; and when they + arose to depart, Mr. Darcy called on his sister to join him in + expressing their wish of seeing Mr. and Mrs. Gardiner, and Miss + Bennet, to dinner at Pemberley, before they left the country. + Miss Darcy, though with a diffidence which marked her little in + the habit of giving invitations, readily obeyed. Mrs. Gardiner + looked at her niece, desirous of knowing how _she_, whom the + invitation most concerned, felt disposed as to its acceptance, + but Elizabeth had turned away her head. Presuming however, that + this studied avoidance spoke rather a momentary embarrassment + than any dislike of the proposal, and seeing in her husband, who + was fond of society, a perfect willingness to accept it, she + ventured to engage for her attendance, and the day after the next + was fixed on. + + Bingley expressed great pleasure in the certainty of seeing + Elizabeth again, having still a great deal to say to her, and + many inquiries to make after all their Hertfordshire friends. + Elizabeth, construing all this into a wish of hearing her speak + of her sister, was pleased, and on this account, as well as some + others, found herself, when their visitors left them, capable of + considering the last half-hour with some satisfaction, though + while it was passing, the enjoyment of it had been little. Eager + to be alone, and fearful of inquiries or hints from her uncle and + aunt, she stayed with them only long enough to hear their + favourable opinion of Bingley, and then hurried away to dress. + + But she had no reason to fear Mr. and Mrs. Gardiner’s curiosity; + it was not their wish to force her communication. It was evident + that she was much better acquainted with Mr. Darcy than they had + before any idea of; it was evident that he was very much in love + with her. They saw much to interest, but nothing to justify + inquiry. + + Of Mr. Darcy it was now a matter of anxiety to think well; and, + as far as their acquaintance reached, there was no fault to find. + They could not be untouched by his politeness; and had they drawn + his character from their own feelings and his servant’s report, + without any reference to any other account, the circle in + Hertfordshire to which he was known would not have recognized it + for Mr. Darcy. There was now an interest, however, in believing + the housekeeper; and they soon became sensible that the authority + of a servant who had known him since he was four years old, and + whose own manners indicated respectability, was not to be hastily + rejected. Neither had anything occurred in the intelligence of + their Lambton friends that could materially lessen its weight. + They had nothing to accuse him of but pride; pride he probably + had, and if not, it would certainly be imputed by the inhabitants + of a small market-town where the family did not visit. It was + acknowledged, however, that he was a liberal man, and did much + good among the poor. + + With respect to Wickham, the travellers soon found that he was + not held there in much estimation; for though the chief of his + concerns with the son of his patron were imperfectly understood, + it was yet a well-known fact that, on his quitting Derbyshire, he + had left many debts behind him, which Mr. Darcy afterwards + discharged. + + As for Elizabeth, her thoughts were at Pemberley this evening + more than the last; and the evening, though as it passed it + seemed long, was not long enough to determine her feelings + towards _one_ in that mansion; and she lay awake two whole hours + endeavouring to make them out. She certainly did not hate him. + No; hatred had vanished long ago, and she had almost as long been + ashamed of ever feeling a dislike against him, that could be so + called. The respect created by the conviction of his valuable + qualities, though at first unwillingly admitted, had for some + time ceased to be repugnant to her feeling; and it was now + heightened into somewhat of a friendlier nature, by the testimony + so highly in his favour, and bringing forward his disposition in + so amiable a light, which yesterday had produced. But above all, + above respect and esteem, there was a motive within her of + goodwill which could not be overlooked. It was gratitude; + gratitude, not merely for having once loved her, but for loving + her still well enough to forgive all the petulance and acrimony + of her manner in rejecting him, and all the unjust accusations + accompanying her rejection. He who, she had been persuaded, would + avoid her as his greatest enemy, seemed, on this accidental + meeting, most eager to preserve the acquaintance, and without any + indelicate display of regard, or any peculiarity of manner, where + their two selves only were concerned, was soliciting the good + opinion of her friends, and bent on making her known to his + sister. Such a change in a man of so much pride exciting not only + astonishment but gratitude—for to love, ardent love, it must be + attributed; and as such its impression on her was of a sort to be + encouraged, as by no means unpleasing, though it could not be + exactly defined. She respected, she esteemed, she was grateful to + him, she felt a real interest in his welfare; and she only wanted + to know how far she wished that welfare to depend upon herself, + and how far it would be for the happiness of both that she should + employ the power, which her fancy told her she still possessed, + of bringing on her the renewal of his addresses. + + It had been settled in the evening between the aunt and the + niece, that such a striking civility as Miss Darcy’s in coming to + see them on the very day of her arrival at Pemberley, for she had + reached it only to a late breakfast, ought to be imitated, though + it could not be equalled, by some exertion of politeness on their + side; and, consequently, that it would be highly expedient to + wait on her at Pemberley the following morning. They were, + therefore, to go. Elizabeth was pleased; though when she asked + herself the reason, she had very little to say in reply. + + Mr. Gardiner left them soon after breakfast. The fishing scheme + had been renewed the day before, and a positive engagement made + of his meeting some of the gentlemen at Pemberley before noon. + + + + + Chapter 45 + + Convinced as Elizabeth now was that Miss Bingley’s dislike of her + had originated in jealousy, she could not help feeling how + unwelcome her appearance at Pemberley must be to her, and was + curious to know with how much civility on that lady’s side the + acquaintance would now be renewed. + + On reaching the house, they were shown through the hall into the + saloon, whose northern aspect rendered it delightful for summer. + Its windows opening to the ground, admitted a most refreshing + view of the high woody hills behind the house, and of the + beautiful oaks and Spanish chestnuts which were scattered over + the intermediate lawn. + + In this house they were received by Miss Darcy, who was sitting + there with Mrs. Hurst and Miss Bingley, and the lady with whom + she lived in London. Georgiana’s reception of them was very + civil, but attended with all the embarrassment which, though + proceeding from shyness and the fear of doing wrong, would easily + give to those who felt themselves inferior the belief of her + being proud and reserved. Mrs. Gardiner and her niece, however, + did her justice, and pitied her. + + By Mrs. Hurst and Miss Bingley they were noticed only by a + curtsey; and, on their being seated, a pause, awkward as such + pauses must always be, succeeded for a few moments. It was first + broken by Mrs. Annesley, a genteel, agreeable-looking woman, + whose endeavour to introduce some kind of discourse proved her to + be more truly well-bred than either of the others; and between + her and Mrs. Gardiner, with occasional help from Elizabeth, the + conversation was carried on. Miss Darcy looked as if she wished + for courage enough to join in it; and sometimes did venture a + short sentence when there was least danger of its being heard. + + Elizabeth soon saw that she was herself closely watched by Miss + Bingley, and that she could not speak a word, especially to Miss + Darcy, without calling her attention. This observation would not + have prevented her from trying to talk to the latter, had they + not been seated at an inconvenient distance; but she was not + sorry to be spared the necessity of saying much. Her own thoughts + were employing her. She expected every moment that some of the + gentlemen would enter the room. She wished, she feared that the + master of the house might be amongst them; and whether she wished + or feared it most, she could scarcely determine. After sitting in + this manner a quarter of an hour without hearing Miss Bingley’s + voice, Elizabeth was roused by receiving from her a cold inquiry + after the health of her family. She answered with equal + indifference and brevity, and the other said no more. + + The next variation which their visit afforded was produced by the + entrance of servants with cold meat, cake, and a variety of all + the finest fruits in season; but this did not take place till + after many a significant look and smile from Mrs. Annesley to + Miss Darcy had been given, to remind her of her post. There was + now employment for the whole party—for though they could not all + talk, they could all eat; and the beautiful pyramids of grapes, + nectarines, and peaches soon collected them round the table. + + While thus engaged, Elizabeth had a fair opportunity of deciding + whether she most feared or wished for the appearance of Mr. + Darcy, by the feelings which prevailed on his entering the room; + and then, though but a moment before she had believed her wishes + to predominate, she began to regret that he came. + + He had been some time with Mr. Gardiner, who, with two or three + other gentlemen from the house, was engaged by the river, and had + left him only on learning that the ladies of the family intended + a visit to Georgiana that morning. No sooner did he appear than + Elizabeth wisely resolved to be perfectly easy and unembarrassed; + a resolution the more necessary to be made, but perhaps not the + more easily kept, because she saw that the suspicions of the + whole party were awakened against them, and that there was + scarcely an eye which did not watch his behaviour when he first + came into the room. In no countenance was attentive curiosity so + strongly marked as in Miss Bingley’s, in spite of the smiles + which overspread her face whenever she spoke to one of its + objects; for jealousy had not yet made her desperate, and her + attentions to Mr. Darcy were by no means over. Miss Darcy, on her + brother’s entrance, exerted herself much more to talk, and + Elizabeth saw that he was anxious for his sister and herself to + get acquainted, and forwarded as much as possible, every attempt + at conversation on either side. Miss Bingley saw all this + likewise; and, in the imprudence of anger, took the first + opportunity of saying, with sneering civility: + + “Pray, Miss Eliza, are not the ——shire Militia removed from + Meryton? They must be a great loss to _your_ family.” + + In Darcy’s presence she dared not mention Wickham’s name; but + Elizabeth instantly comprehended that he was uppermost in her + thoughts; and the various recollections connected with him gave + her a moment’s distress; but exerting herself vigorously to repel + the ill-natured attack, she presently answered the question in a + tolerably detached tone. While she spoke, an involuntary glance + showed her Darcy, with a heightened complexion, earnestly looking + at her, and his sister overcome with confusion, and unable to + lift up her eyes. Had Miss Bingley known what pain she was then + giving her beloved friend, she undoubtedly would have refrained + from the hint; but she had merely intended to discompose + Elizabeth by bringing forward the idea of a man to whom she + believed her partial, to make her betray a sensibility which + might injure her in Darcy’s opinion, and, perhaps, to remind the + latter of all the follies and absurdities by which some part of + her family were connected with that corps. Not a syllable had + ever reached her of Miss Darcy’s meditated elopement. To no + creature had it been revealed, where secrecy was possible, except + to Elizabeth; and from all Bingley’s connections her brother was + particularly anxious to conceal it, from the very wish which + Elizabeth had long ago attributed to him, of their becoming + hereafter her own. He had certainly formed such a plan, and + without meaning that it should affect his endeavour to separate + him from Miss Bennet, it is probable that it might add something + to his lively concern for the welfare of his friend. + + Elizabeth’s collected behaviour, however, soon quieted his + emotion; and as Miss Bingley, vexed and disappointed, dared not + approach nearer to Wickham, Georgiana also recovered in time, + though not enough to be able to speak any more. Her brother, + whose eye she feared to meet, scarcely recollected her interest + in the affair, and the very circumstance which had been designed + to turn his thoughts from Elizabeth seemed to have fixed them on + her more and more cheerfully. + + Their visit did not continue long after the question and answer + above mentioned; and while Mr. Darcy was attending them to their + carriage Miss Bingley was venting her feelings in criticisms on + Elizabeth’s person, behaviour, and dress. But Georgiana would not + join her. Her brother’s recommendation was enough to ensure her + favour; his judgement could not err. And he had spoken in such + terms of Elizabeth as to leave Georgiana without the power of + finding her otherwise than lovely and amiable. When Darcy + returned to the saloon, Miss Bingley could not help repeating to + him some part of what she had been saying to his sister. + + “How very ill Miss Eliza Bennet looks this morning, Mr. Darcy,” + she cried; “I never in my life saw anyone so much altered as she + is since the winter. She is grown so brown and coarse! Louisa and + I were agreeing that we should not have known her again.” + + However little Mr. Darcy might have liked such an address, he + contented himself with coolly replying that he perceived no other + alteration than her being rather tanned, no miraculous + consequence of travelling in the summer. + + “For my own part,” she rejoined, “I must confess that I never + could see any beauty in her. Her face is too thin; her complexion + has no brilliancy; and her features are not at all handsome. Her + nose wants character—there is nothing marked in its lines. Her + teeth are tolerable, but not out of the common way; and as for + her eyes, which have sometimes been called so fine, I could never + see anything extraordinary in them. They have a sharp, shrewish + look, which I do not like at all; and in her air altogether there + is a self-sufficiency without fashion, which is intolerable.” + + Persuaded as Miss Bingley was that Darcy admired Elizabeth, this + was not the best method of recommending herself; but angry people + are not always wise; and in seeing him at last look somewhat + nettled, she had all the success she expected. He was resolutely + silent, however, and, from a determination of making him speak, + she continued: + + “I remember, when we first knew her in Hertfordshire, how amazed + we all were to find that she was a reputed beauty; and I + particularly recollect your saying one night, after they had been + dining at Netherfield, ‘_She_ a beauty!—I should as soon call her + mother a wit.’ But afterwards she seemed to improve on you, and I + believe you thought her rather pretty at one time.” + + “Yes,” replied Darcy, who could contain himself no longer, “but + _that_ was only when I first saw her, for it is many months since + I have considered her as one of the handsomest women of my + acquaintance.” + + He then went away, and Miss Bingley was left to all the + satisfaction of having forced him to say what gave no one any + pain but herself. + + Mrs. Gardiner and Elizabeth talked of all that had occurred + during their visit, as they returned, except what had + particularly interested them both. The look and behaviour of + everybody they had seen were discussed, except of the person who + had mostly engaged their attention. They talked of his sister, + his friends, his house, his fruit—of everything but himself; yet + Elizabeth was longing to know what Mrs. Gardiner thought of him, + and Mrs. Gardiner would have been highly gratified by her niece’s + beginning the subject. + + + + + Chapter 46 + + Elizabeth had been a good deal disappointed in not finding a + letter from Jane on their first arrival at Lambton; and this + disappointment had been renewed on each of the mornings that had + now been spent there; but on the third her repining was over, and + her sister justified, by the receipt of two letters from her at + once, on one of which was marked that it had been missent + elsewhere. Elizabeth was not surprised at it, as Jane had written + the direction remarkably ill. + + They had just been preparing to walk as the letters came in; and + her uncle and aunt, leaving her to enjoy them in quiet, set off + by themselves. The one missent must first be attended to; it had + been written five days ago. The beginning contained an account of + all their little parties and engagements, with such news as the + country afforded; but the latter half, which was dated a day + later, and written in evident agitation, gave more important + intelligence. It was to this effect: + + “Since writing the above, dearest Lizzy, something has occurred + of a most unexpected and serious nature; but I am afraid of + alarming you—be assured that we are all well. What I have to say + relates to poor Lydia. An express came at twelve last night, just + as we were all gone to bed, from Colonel Forster, to inform us + that she was gone off to Scotland with one of his officers; to + own the truth, with Wickham! Imagine our surprise. To Kitty, + however, it does not seem so wholly unexpected. I am very, very + sorry. So imprudent a match on both sides! But I am willing to + hope the best, and that his character has been misunderstood. + Thoughtless and indiscreet I can easily believe him, but this + step (and let us rejoice over it) marks nothing bad at heart. His + choice is disinterested at least, for he must know my father can + give her nothing. Our poor mother is sadly grieved. My father + bears it better. How thankful am I that we never let them know + what has been said against him; we must forget it ourselves. They + were off Saturday night about twelve, as is conjectured, but were + not missed till yesterday morning at eight. The express was sent + off directly. My dear Lizzy, they must have passed within ten + miles of us. Colonel Forster gives us reason to expect him here + soon. Lydia left a few lines for his wife, informing her of their + intention. I must conclude, for I cannot be long from my poor + mother. I am afraid you will not be able to make it out, but I + hardly know what I have written.” + + Without allowing herself time for consideration, and scarcely + knowing what she felt, Elizabeth on finishing this letter + instantly seized the other, and opening it with the utmost + impatience, read as follows: it had been written a day later than + the conclusion of the first. + + “By this time, my dearest sister, you have received my hurried + letter; I wish this may be more intelligible, but though not + confined for time, my head is so bewildered that I cannot answer + for being coherent. Dearest Lizzy, I hardly know what I would + write, but I have bad news for you, and it cannot be delayed. + Imprudent as the marriage between Mr. Wickham and our poor Lydia + would be, we are now anxious to be assured it has taken place, + for there is but too much reason to fear they are not gone to + Scotland. Colonel Forster came yesterday, having left Brighton + the day before, not many hours after the express. Though Lydia’s + short letter to Mrs. F. gave them to understand that they were + going to Gretna Green, something was dropped by Denny expressing + his belief that W. never intended to go there, or to marry Lydia + at all, which was repeated to Colonel F., who, instantly taking + the alarm, set off from B. intending to trace their route. He did + trace them easily to Clapham, but no further; for on entering + that place, they removed into a hackney coach, and dismissed the + chaise that brought them from Epsom. All that is known after this + is, that they were seen to continue the London road. I know not + what to think. After making every possible inquiry on that side + London, Colonel F. came on into Hertfordshire, anxiously renewing + them at all the turnpikes, and at the inns in Barnet and + Hatfield, but without any success—no such people had been seen to + pass through. With the kindest concern he came on to Longbourn, + and broke his apprehensions to us in a manner most creditable to + his heart. I am sincerely grieved for him and Mrs. F., but no one + can throw any blame on them. Our distress, my dear Lizzy, is very + great. My father and mother believe the worst, but I cannot think + so ill of him. Many circumstances might make it more eligible for + them to be married privately in town than to pursue their first + plan; and even if _he_ could form such a design against a young + woman of Lydia’s connections, which is not likely, can I suppose + her so lost to everything? Impossible! I grieve to find, however, + that Colonel F. is not disposed to depend upon their marriage; he + shook his head when I expressed my hopes, and said he feared W. + was not a man to be trusted. My poor mother is really ill, and + keeps her room. Could she exert herself, it would be better; but + this is not to be expected. And as to my father, I never in my + life saw him so affected. Poor Kitty has anger for having + concealed their attachment; but as it was a matter of confidence, + one cannot wonder. I am truly glad, dearest Lizzy, that you have + been spared something of these distressing scenes; but now, as + the first shock is over, shall I own that I long for your return? + I am not so selfish, however, as to press for it, if + inconvenient. Adieu! I take up my pen again to do what I have + just told you I would not; but circumstances are such that I + cannot help earnestly begging you all to come here as soon as + possible. I know my dear uncle and aunt so well, that I am not + afraid of requesting it, though I have still something more to + ask of the former. My father is going to London with Colonel + Forster instantly, to try to discover her. What he means to do I + am sure I know not; but his excessive distress will not allow him + to pursue any measure in the best and safest way, and Colonel + Forster is obliged to be at Brighton again to-morrow evening. In + such an exigence, my uncle’s advice and assistance would be + everything in the world; he will immediately comprehend what I + must feel, and I rely upon his goodness.” + + “Oh! where, where is my uncle?” cried Elizabeth, darting from her + seat as she finished the letter, in eagerness to follow him, + without losing a moment of the time so precious; but as she + reached the door it was opened by a servant, and Mr. Darcy + appeared. Her pale face and impetuous manner made him start, and + before he could recover himself to speak, she, in whose mind + every idea was superseded by Lydia’s situation, hastily + exclaimed, “I beg your pardon, but I must leave you. I must find + Mr. Gardiner this moment, on business that cannot be delayed; I + have not an instant to lose.” + + “Good God! what is the matter?” cried he, with more feeling than + politeness; then recollecting himself, “I will not detain you a + minute; but let me, or let the servant go after Mr. and Mrs. + Gardiner. You are not well enough; you cannot go yourself.” + + Elizabeth hesitated, but her knees trembled under her and she + felt how little would be gained by her attempting to pursue them. + Calling back the servant, therefore, she commissioned him, though + in so breathless an accent as made her almost unintelligible, to + fetch his master and mistress home instantly. + + On his quitting the room she sat down, unable to support herself, + and looking so miserably ill, that it was impossible for Darcy to + leave her, or to refrain from saying, in a tone of gentleness and + commiseration, “Let me call your maid. Is there nothing you could + take to give you present relief? A glass of wine; shall I get you + one? You are very ill.” + + “No, I thank you,” she replied, endeavouring to recover herself. + “There is nothing the matter with me. I am quite well; I am only + distressed by some dreadful news which I have just received from + Longbourn.” + + She burst into tears as she alluded to it, and for a few minutes + could not speak another word. Darcy, in wretched suspense, could + only say something indistinctly of his concern, and observe her + in compassionate silence. At length she spoke again. “I have just + had a letter from Jane, with such dreadful news. It cannot be + concealed from anyone. My younger sister has left all her + friends—has eloped; has thrown herself into the power of—of Mr. + Wickham. They are gone off together from Brighton. _You_ know him + too well to doubt the rest. She has no money, no connections, + nothing that can tempt him to—she is lost for ever.” + + Darcy was fixed in astonishment. “When I consider,” she added in + a yet more agitated voice, “that _I_ might have prevented it! _I_ + who knew what he was. Had I but explained some part of it + only—some part of what I learnt, to my own family! Had his + character been known, this could not have happened. But it is + all—all too late now.” + + “I am grieved indeed,” cried Darcy; “grieved—shocked. But is it + certain—absolutely certain?” + + “Oh, yes! They left Brighton together on Sunday night, and were + traced almost to London, but not beyond; they are certainly not + gone to Scotland.” + + “And what has been done, what has been attempted, to recover + her?” + + “My father is gone to London, and Jane has written to beg my + uncle’s immediate assistance; and we shall be off, I hope, in + half-an-hour. But nothing can be done—I know very well that + nothing can be done. How is such a man to be worked on? How are + they even to be discovered? I have not the smallest hope. It is + every way horrible!” + + Darcy shook his head in silent acquiescence. + + “When _my_ eyes were opened to his real character—Oh! had I known + what I ought, what I dared to do! But I knew not—I was afraid of + doing too much. Wretched, wretched mistake!” + + Darcy made no answer. He seemed scarcely to hear her, and was + walking up and down the room in earnest meditation, his brow + contracted, his air gloomy. Elizabeth soon observed, and + instantly understood it. Her power was sinking; everything _must_ + sink under such a proof of family weakness, such an assurance of + the deepest disgrace. She could neither wonder nor condemn, but + the belief of his self-conquest brought nothing consolatory to + her bosom, afforded no palliation of her distress. It was, on the + contrary, exactly calculated to make her understand her own + wishes; and never had she so honestly felt that she could have + loved him, as now, when all love must be vain. + + But self, though it would intrude, could not engross her. + Lydia—the humiliation, the misery she was bringing on them all, + soon swallowed up every private care; and covering her face with + her handkerchief, Elizabeth was soon lost to everything else; + and, after a pause of several minutes, was only recalled to a + sense of her situation by the voice of her companion, who, in a + manner which, though it spoke compassion, spoke likewise + restraint, said, “I am afraid you have been long desiring my + absence, nor have I anything to plead in excuse of my stay, but + real, though unavailing concern. Would to Heaven that anything + could be either said or done on my part that might offer + consolation to such distress! But I will not torment you with + vain wishes, which may seem purposely to ask for your thanks. + This unfortunate affair will, I fear, prevent my sister’s having + the pleasure of seeing you at Pemberley to-day.” + + “Oh, yes. Be so kind as to apologise for us to Miss Darcy. Say + that urgent business calls us home immediately. Conceal the + unhappy truth as long as it is possible, I know it cannot be + long.” + + He readily assured her of his secrecy; again expressed his sorrow + for her distress, wished it a happier conclusion than there was + at present reason to hope, and leaving his compliments for her + relations, with only one serious, parting look, went away. + + As he quitted the room, Elizabeth felt how improbable it was that + they should ever see each other again on such terms of cordiality + as had marked their several meetings in Derbyshire; and as she + threw a retrospective glance over the whole of their + acquaintance, so full of contradictions and varieties, sighed at + the perverseness of those feelings which would now have promoted + its continuance, and would formerly have rejoiced in its + termination. + + If gratitude and esteem are good foundations of affection, + Elizabeth’s change of sentiment will be neither improbable nor + faulty. But if otherwise—if regard springing from such sources is + unreasonable or unnatural, in comparison of what is so often + described as arising on a first interview with its object, and + even before two words have been exchanged, nothing can be said in + her defence, except that she had given somewhat of a trial to the + latter method in her partiality for Wickham, and that its ill + success might, perhaps, authorise her to seek the other less + interesting mode of attachment. Be that as it may, she saw him go + with regret; and in this early example of what Lydia’s infamy + must produce, found additional anguish as she reflected on that + wretched business. Never, since reading Jane’s second letter, had + she entertained a hope of Wickham’s meaning to marry her. No one + but Jane, she thought, could flatter herself with such an + expectation. Surprise was the least of her feelings on this + development. While the contents of the first letter remained in + her mind, she was all surprise—all astonishment that Wickham + should marry a girl whom it was impossible he could marry for + money; and how Lydia could ever have attached him had appeared + incomprehensible. But now it was all too natural. For such an + attachment as this she might have sufficient charms; and though + she did not suppose Lydia to be deliberately engaging in an + elopement without the intention of marriage, she had no + difficulty in believing that neither her virtue nor her + understanding would preserve her from falling an easy prey. + + She had never perceived, while the regiment was in Hertfordshire, + that Lydia had any partiality for him; but she was convinced that + Lydia wanted only encouragement to attach herself to anybody. + Sometimes one officer, sometimes another, had been her favourite, + as their attentions raised them in her opinion. Her affections + had continually been fluctuating but never without an object. The + mischief of neglect and mistaken indulgence towards such a + girl—oh! how acutely did she now feel it! + + She was wild to be at home—to hear, to see, to be upon the spot + to share with Jane in the cares that must now fall wholly upon + her, in a family so deranged, a father absent, a mother incapable + of exertion, and requiring constant attendance; and though almost + persuaded that nothing could be done for Lydia, her uncle’s + interference seemed of the utmost importance, and till he entered + the room her impatience was severe. Mr. and Mrs. Gardiner had + hurried back in alarm, supposing by the servant’s account that + their niece was taken suddenly ill; but satisfying them instantly + on that head, she eagerly communicated the cause of their + summons, reading the two letters aloud, and dwelling on the + postscript of the last with trembling energy.— Though Lydia had + never been a favourite with them, Mr. and Mrs. Gardiner could not + but be deeply afflicted. Not Lydia only, but all were concerned + in it; and after the first exclamations of surprise and horror, + Mr. Gardiner promised every assistance in his power. Elizabeth, + though expecting no less, thanked him with tears of gratitude; + and all three being actuated by one spirit, everything relating + to their journey was speedily settled. They were to be off as + soon as possible. “But what is to be done about Pemberley?” cried + Mrs. Gardiner. “John told us Mr. Darcy was here when you sent for + us; was it so?” + + “Yes; and I told him we should not be able to keep our + engagement. _That_ is all settled.” + + “What is all settled?” repeated the other, as she ran into her + room to prepare. “And are they upon such terms as for her to + disclose the real truth? Oh, that I knew how it was!” + + But wishes were vain, or at least could only serve to amuse her + in the hurry and confusion of the following hour. Had Elizabeth + been at leisure to be idle, she would have remained certain that + all employment was impossible to one so wretched as herself; but + she had her share of business as well as her aunt, and amongst + the rest there were notes to be written to all their friends at + Lambton, with false excuses for their sudden departure. An hour, + however, saw the whole completed; and Mr. Gardiner meanwhile + having settled his account at the inn, nothing remained to be + done but to go; and Elizabeth, after all the misery of the + morning, found herself, in a shorter space of time than she could + have supposed, seated in the carriage, and on the road to + Longbourn. + + + + + Chapter 47 + + “I have been thinking it over again, Elizabeth,” said her uncle, + as they drove from the town; “and really, upon serious + consideration, I am much more inclined than I was to judge as + your eldest sister does on the matter. It appears to me so very + unlikely that any young man should form such a design against a + girl who is by no means unprotected or friendless, and who was + actually staying in his colonel’s family, that I am strongly + inclined to hope the best. Could he expect that her friends would + not step forward? Could he expect to be noticed again by the + regiment, after such an affront to Colonel Forster? His + temptation is not adequate to the risk!” + + “Do you really think so?” cried Elizabeth, brightening up for a + moment. + + “Upon my word,” said Mrs. Gardiner, “I begin to be of your + uncle’s opinion. It is really too great a violation of decency, + honour, and interest, for him to be guilty of. I cannot think so + very ill of Wickham. Can you yourself, Lizzy, so wholly give him + up, as to believe him capable of it?” + + “Not, perhaps, of neglecting his own interest; but of every other + neglect I can believe him capable. If, indeed, it should be so! + But I dare not hope it. Why should they not go on to Scotland if + that had been the case?” + + “In the first place,” replied Mr. Gardiner, “there is no absolute + proof that they are not gone to Scotland.” + + “Oh! but their removing from the chaise into a hackney coach is + such a presumption! And, besides, no traces of them were to be + found on the Barnet road.” + + “Well, then—supposing them to be in London. They may be there, + though for the purpose of concealment, for no more exceptional + purpose. It is not likely that money should be very abundant on + either side; and it might strike them that they could be more + economically, though less expeditiously, married in London than + in Scotland.” + + “But why all this secrecy? Why any fear of detection? Why must + their marriage be private? Oh, no, no—this is not likely. His + most particular friend, you see by Jane’s account, was persuaded + of his never intending to marry her. Wickham will never marry a + woman without some money. He cannot afford it. And what claims + has Lydia—what attraction has she beyond youth, health, and good + humour that could make him, for her sake, forego every chance of + benefiting himself by marrying well? As to what restraint the + apprehensions of disgrace in the corps might throw on a + dishonourable elopement with her, I am not able to judge; for I + know nothing of the effects that such a step might produce. But + as to your other objection, I am afraid it will hardly hold good. + Lydia has no brothers to step forward; and he might imagine, from + my father’s behaviour, from his indolence and the little + attention he has ever seemed to give to what was going forward in + his family, that _he_ would do as little, and think as little + about it, as any father could do, in such a matter.” + + “But can you think that Lydia is so lost to everything but love + of him as to consent to live with him on any terms other than + marriage?” + + “It does seem, and it is most shocking indeed,” replied + Elizabeth, with tears in her eyes, “that a sister’s sense of + decency and virtue in such a point should admit of doubt. But, + really, I know not what to say. Perhaps I am not doing her + justice. But she is very young; she has never been taught to + think on serious subjects; and for the last half-year, nay, for a + twelvemonth—she has been given up to nothing but amusement and + vanity. She has been allowed to dispose of her time in the most + idle and frivolous manner, and to adopt any opinions that came in + her way. Since the ——shire were first quartered in Meryton, + nothing but love, flirtation, and officers have been in her head. + She has been doing everything in her power by thinking and + talking on the subject, to give greater—what shall I call it? + susceptibility to her feelings; which are naturally lively + enough. And we all know that Wickham has every charm of person + and address that can captivate a woman.” + + “But you see that Jane,” said her aunt, “does not think so very + ill of Wickham as to believe him capable of the attempt.” + + “Of whom does Jane ever think ill? And who is there, whatever + might be their former conduct, that she would think capable of + such an attempt, till it were proved against them? But Jane + knows, as well as I do, what Wickham really is. We both know that + he has been profligate in every sense of the word; that he has + neither integrity nor honour; that he is as false and deceitful + as he is insinuating.” + + “And do you really know all this?” cried Mrs. Gardiner, whose + curiosity as to the mode of her intelligence was all alive. + + “I do indeed,” replied Elizabeth, colouring. “I told you, the + other day, of his infamous behaviour to Mr. Darcy; and you + yourself, when last at Longbourn, heard in what manner he spoke + of the man who had behaved with such forbearance and liberality + towards him. And there are other circumstances which I am not at + liberty—which it is not worth while to relate; but his lies about + the whole Pemberley family are endless. From what he said of Miss + Darcy I was thoroughly prepared to see a proud, reserved, + disagreeable girl. Yet he knew to the contrary himself. He must + know that she was as amiable and unpretending as we have found + her.” + + “But does Lydia know nothing of this? can she be ignorant of what + you and Jane seem so well to understand?” + + “Oh, yes!—that, that is the worst of all. Till I was in Kent, and + saw so much both of Mr. Darcy and his relation Colonel + Fitzwilliam, I was ignorant of the truth myself. And when I + returned home, the ——shire was to leave Meryton in a week or + fortnight’s time. As that was the case, neither Jane, to whom I + related the whole, nor I, thought it necessary to make our + knowledge public; for of what use could it apparently be to any + one, that the good opinion which all the neighbourhood had of him + should then be overthrown? And even when it was settled that + Lydia should go with Mrs. Forster, the necessity of opening her + eyes to his character never occurred to me. That _she_ could be + in any danger from the deception never entered my head. That such + a consequence as _this_ could ensue, you may easily believe, was + far enough from my thoughts.” + + “When they all removed to Brighton, therefore, you had no reason, + I suppose, to believe them fond of each other?” + + “Not the slightest. I can remember no symptom of affection on + either side; and had anything of the kind been perceptible, you + must be aware that ours is not a family on which it could be + thrown away. When first he entered the corps, she was ready + enough to admire him; but so we all were. Every girl in or near + Meryton was out of her senses about him for the first two months; + but he never distinguished _her_ by any particular attention; + and, consequently, after a moderate period of extravagant and + wild admiration, her fancy for him gave way, and others of the + regiment, who treated her with more distinction, again became her + favourites.” + + It may be easily believed, that however little of novelty could + be added to their fears, hopes, and conjectures, on this + interesting subject, by its repeated discussion, no other could + detain them from it long, during the whole of the journey. From + Elizabeth’s thoughts it was never absent. Fixed there by the + keenest of all anguish, self-reproach, she could find no interval + of ease or forgetfulness. + + They travelled as expeditiously as possible, and, sleeping one + night on the road, reached Longbourn by dinner time the next day. + It was a comfort to Elizabeth to consider that Jane could not + have been wearied by long expectations. + + The little Gardiners, attracted by the sight of a chaise, were + standing on the steps of the house as they entered the paddock; + and, when the carriage drove up to the door, the joyful surprise + that lighted up their faces, and displayed itself over their + whole bodies, in a variety of capers and frisks, was the first + pleasing earnest of their welcome. + + Elizabeth jumped out; and, after giving each of them a hasty + kiss, hurried into the vestibule, where Jane, who came running + down from her mother’s apartment, immediately met her. + + Elizabeth, as she affectionately embraced her, whilst tears + filled the eyes of both, lost not a moment in asking whether + anything had been heard of the fugitives. + + “Not yet,” replied Jane. “But now that my dear uncle is come, I + hope everything will be well.” + + “Is my father in town?” + + “Yes, he went on Tuesday, as I wrote you word.” + + “And have you heard from him often?” + + “We have heard only twice. He wrote me a few lines on Wednesday + to say that he had arrived in safety, and to give me his + directions, which I particularly begged him to do. He merely + added that he should not write again till he had something of + importance to mention.” + + “And my mother—how is she? How are you all?” + + “My mother is tolerably well, I trust; though her spirits are + greatly shaken. She is up stairs and will have great satisfaction + in seeing you all. She does not yet leave her dressing-room. Mary + and Kitty, thank Heaven, are quite well.” + + “But you—how are you?” cried Elizabeth. “You look pale. How much + you must have gone through!” + + Her sister, however, assured her of her being perfectly well; and + their conversation, which had been passing while Mr. and Mrs. + Gardiner were engaged with their children, was now put an end to + by the approach of the whole party. Jane ran to her uncle and + aunt, and welcomed and thanked them both, with alternate smiles + and tears. + + When they were all in the drawing-room, the questions which + Elizabeth had already asked were of course repeated by the + others, and they soon found that Jane had no intelligence to + give. The sanguine hope of good, however, which the benevolence + of her heart suggested had not yet deserted her; she still + expected that it would all end well, and that every morning would + bring some letter, either from Lydia or her father, to explain + their proceedings, and, perhaps, announce their marriage. + + Mrs. Bennet, to whose apartment they all repaired, after a few + minutes’ conversation together, received them exactly as might be + expected; with tears and lamentations of regret, invectives + against the villainous conduct of Wickham, and complaints of her + own sufferings and ill-usage; blaming everybody but the person to + whose ill-judging indulgence the errors of her daughter must + principally be owing. + + “If I had been able,” said she, “to carry my point in going to + Brighton, with all my family, _this_ would not have happened; but + poor dear Lydia had nobody to take care of her. Why did the + Forsters ever let her go out of their sight? I am sure there was + some great neglect or other on their side, for she is not the + kind of girl to do such a thing if she had been well looked + after. I always thought they were very unfit to have the charge + of her; but I was overruled, as I always am. Poor dear child! And + now here’s Mr. Bennet gone away, and I know he will fight + Wickham, wherever he meets him and then he will be killed, and + what is to become of us all? The Collinses will turn us out + before he is cold in his grave, and if you are not kind to us, + brother, I do not know what we shall do.” + + They all exclaimed against such terrific ideas; and Mr. Gardiner, + after general assurances of his affection for her and all her + family, told her that he meant to be in London the very next day, + and would assist Mr. Bennet in every endeavour for recovering + Lydia. + + “Do not give way to useless alarm,” added he; “though it is right + to be prepared for the worst, there is no occasion to look on it + as certain. It is not quite a week since they left Brighton. In a + few days more we may gain some news of them; and till we know + that they are not married, and have no design of marrying, do not + let us give the matter over as lost. As soon as I get to town I + shall go to my brother, and make him come home with me to + Gracechurch Street; and then we may consult together as to what + is to be done.” + + “Oh! my dear brother,” replied Mrs. Bennet, “that is exactly what + I could most wish for. And now do, when you get to town, find + them out, wherever they may be; and if they are not married + already, _make_ them marry. And as for wedding clothes, do not + let them wait for that, but tell Lydia she shall have as much + money as she chooses to buy them, after they are married. And, + above all, keep Mr. Bennet from fighting. Tell him what a + dreadful state I am in, that I am frighted out of my wits—and + have such tremblings, such flutterings, all over me—such spasms + in my side and pains in my head, and such beatings at heart, that + I can get no rest by night nor by day. And tell my dear Lydia not + to give any directions about her clothes till she has seen me, + for she does not know which are the best warehouses. Oh, brother, + how kind you are! I know you will contrive it all.” + + But Mr. Gardiner, though he assured her again of his earnest + endeavours in the cause, could not avoid recommending moderation + to her, as well in her hopes as her fear; and after talking with + her in this manner till dinner was on the table, they all left + her to vent all her feelings on the housekeeper, who attended in + the absence of her daughters. + + Though her brother and sister were persuaded that there was no + real occasion for such a seclusion from the family, they did not + attempt to oppose it, for they knew that she had not prudence + enough to hold her tongue before the servants, while they waited + at table, and judged it better that _one_ only of the household, + and the one whom they could most trust should comprehend all her + fears and solicitude on the subject. + + In the dining-room they were soon joined by Mary and Kitty, who + had been too busily engaged in their separate apartments to make + their appearance before. One came from her books, and the other + from her toilette. The faces of both, however, were tolerably + calm; and no change was visible in either, except that the loss + of her favourite sister, or the anger which she had herself + incurred in this business, had given more of fretfulness than + usual to the accents of Kitty. As for Mary, she was mistress + enough of herself to whisper to Elizabeth, with a countenance of + grave reflection, soon after they were seated at table: + + “This is a most unfortunate affair, and will probably be much + talked of. But we must stem the tide of malice, and pour into the + wounded bosoms of each other the balm of sisterly consolation.” + + Then, perceiving in Elizabeth no inclination of replying, she + added, “Unhappy as the event must be for Lydia, we may draw from + it this useful lesson: that loss of virtue in a female is + irretrievable; that one false step involves her in endless ruin; + that her reputation is no less brittle than it is beautiful; and + that she cannot be too much guarded in her behaviour towards the + undeserving of the other sex.” + + Elizabeth lifted up her eyes in amazement, but was too much + oppressed to make any reply. Mary, however, continued to console + herself with such kind of moral extractions from the evil before + them. + + In the afternoon, the two elder Miss Bennets were able to be for + half-an-hour by themselves; and Elizabeth instantly availed + herself of the opportunity of making any inquiries, which Jane + was equally eager to satisfy. After joining in general + lamentations over the dreadful sequel of this event, which + Elizabeth considered as all but certain, and Miss Bennet could + not assert to be wholly impossible, the former continued the + subject, by saying, “But tell me all and everything about it + which I have not already heard. Give me further particulars. What + did Colonel Forster say? Had they no apprehension of anything + before the elopement took place? They must have seen them + together for ever.” + + “Colonel Forster did own that he had often suspected some + partiality, especially on Lydia’s side, but nothing to give him + any alarm. I am so grieved for him! His behaviour was attentive + and kind to the utmost. He _was_ coming to us, in order to assure + us of his concern, before he had any idea of their not being gone + to Scotland: when that apprehension first got abroad, it hastened + his journey.” + + “And was Denny convinced that Wickham would not marry? Did he + know of their intending to go off? Had Colonel Forster seen Denny + himself?” + + “Yes; but, when questioned by _him_, Denny denied knowing + anything of their plans, and would not give his real opinion + about it. He did not repeat his persuasion of their not + marrying—and from _that_, I am inclined to hope, he might have + been misunderstood before.” + + “And till Colonel Forster came himself, not one of you + entertained a doubt, I suppose, of their being really married?” + + “How was it possible that such an idea should enter our brains? I + felt a little uneasy—a little fearful of my sister’s happiness + with him in marriage, because I knew that his conduct had not + been always quite right. My father and mother knew nothing of + that; they only felt how imprudent a match it must be. Kitty then + owned, with a very natural triumph on knowing more than the rest + of us, that in Lydia’s last letter she had prepared her for such + a step. She had known, it seems, of their being in love with each + other, many weeks.” + + “But not before they went to Brighton?” + + “No, I believe not.” + + “And did Colonel Forster appear to think well of Wickham himself? + Does he know his real character?” + + “I must confess that he did not speak so well of Wickham as he + formerly did. He believed him to be imprudent and extravagant. + And since this sad affair has taken place, it is said that he + left Meryton greatly in debt; but I hope this may be false.” + + “Oh, Jane, had we been less secret, had we told what we knew of + him, this could not have happened!” + + “Perhaps it would have been better,” replied her sister. “But to + expose the former faults of any person without knowing what their + present feelings were, seemed unjustifiable. We acted with the + best intentions.” + + “Could Colonel Forster repeat the particulars of Lydia’s note to + his wife?” + + “He brought it with him for us to see.” + + Jane then took it from her pocket-book, and gave it to Elizabeth. + These were the contents: + + “My dear Harriet, + “You will laugh when you know where I am gone, and I cannot help + laughing myself at your surprise to-morrow morning, as soon as I + am missed. I am going to Gretna Green, and if you cannot guess + with who, I shall think you a simpleton, for there is but one man + in the world I love, and he is an angel. I should never be happy + without him, so think it no harm to be off. You need not send + them word at Longbourn of my going, if you do not like it, for it + will make the surprise the greater, when I write to them and sign + my name ‘Lydia Wickham.’ What a good joke it will be! I can + hardly write for laughing. Pray make my excuses to Pratt for not + keeping my engagement, and dancing with him to-night. Tell him I + hope he will excuse me when he knows all; and tell him I will + dance with him at the next ball we meet, with great pleasure. I + shall send for my clothes when I get to Longbourn; but I wish you + would tell Sally to mend a great slit in my worked muslin gown + before they are packed up. Good-bye. Give my love to Colonel + Forster. I hope you will drink to our good journey. + + “Your affectionate friend, + “LYDIA BENNET.” + + “Oh! thoughtless, thoughtless Lydia!” cried Elizabeth when she + had finished it. “What a letter is this, to be written at such a + moment! But at least it shows that _she_ was serious on the + subject of their journey. Whatever he might afterwards persuade + her to, it was not on her side a _scheme_ of infamy. My poor + father! how he must have felt it!” + + “I never saw anyone so shocked. He could not speak a word for + full ten minutes. My mother was taken ill immediately, and the + whole house in such confusion!” + + “Oh! Jane,” cried Elizabeth, “was there a servant belonging to it + who did not know the whole story before the end of the day?” + + “I do not know. I hope there was. But to be guarded at such a + time is very difficult. My mother was in hysterics, and though I + endeavoured to give her every assistance in my power, I am afraid + I did not do so much as I might have done! But the horror of what + might possibly happen almost took from me my faculties.” + + “Your attendance upon her has been too much for you. You do not + look well. Oh that I had been with you! you have had every care + and anxiety upon yourself alone.” + + “Mary and Kitty have been very kind, and would have shared in + every fatigue, I am sure; but I did not think it right for either + of them. Kitty is slight and delicate; and Mary studies so much, + that her hours of repose should not be broken in on. My aunt + Phillips came to Longbourn on Tuesday, after my father went away; + and was so good as to stay till Thursday with me. She was of + great use and comfort to us all. And Lady Lucas has been very + kind; she walked here on Wednesday morning to condole with us, + and offered her services, or any of her daughters’, if they + should be of use to us.” + + “She had better have stayed at home,” cried Elizabeth; “perhaps + she _meant_ well, but, under such a misfortune as this, one + cannot see too little of one’s neighbours. Assistance is + impossible; condolence insufferable. Let them triumph over us at + a distance, and be satisfied.” + + She then proceeded to inquire into the measures which her father + had intended to pursue, while in town, for the recovery of his + daughter. + + “He meant I believe,” replied Jane, “to go to Epsom, the place + where they last changed horses, see the postilions and try if + anything could be made out from them. His principal object must + be to discover the number of the hackney coach which took them + from Clapham. It had come with a fare from London; and as he + thought that the circumstance of a gentleman and lady’s removing + from one carriage into another might be remarked he meant to make + inquiries at Clapham. If he could anyhow discover at what house + the coachman had before set down his fare, he determined to make + inquiries there, and hoped it might not be impossible to find out + the stand and number of the coach. I do not know of any other + designs that he had formed; but he was in such a hurry to be + gone, and his spirits so greatly discomposed, that I had + difficulty in finding out even so much as this.” + + + + + Chapter 48 + + The whole party were in hopes of a letter from Mr. Bennet the + next morning, but the post came in without bringing a single line + from him. His family knew him to be, on all common occasions, a + most negligent and dilatory correspondent; but at such a time + they had hoped for exertion. They were forced to conclude that he + had no pleasing intelligence to send; but even of _that_ they + would have been glad to be certain. Mr. Gardiner had waited only + for the letters before he set off. + + When he was gone, they were certain at least of receiving + constant information of what was going on, and their uncle + promised, at parting, to prevail on Mr. Bennet to return to + Longbourn, as soon as he could, to the great consolation of his + sister, who considered it as the only security for her husband’s + not being killed in a duel. + + Mrs. Gardiner and the children were to remain in Hertfordshire a + few days longer, as the former thought her presence might be + serviceable to her nieces. She shared in their attendance on Mrs. + Bennet, and was a great comfort to them in their hours of + freedom. Their other aunt also visited them frequently, and + always, as she said, with the design of cheering and heartening + them up—though, as she never came without reporting some fresh + instance of Wickham’s extravagance or irregularity, she seldom + went away without leaving them more dispirited than she found + them. + + All Meryton seemed striving to blacken the man who, but three + months before, had been almost an angel of light. He was declared + to be in debt to every tradesman in the place, and his intrigues, + all honoured with the title of seduction, had been extended into + every tradesman’s family. Everybody declared that he was the + wickedest young man in the world; and everybody began to find out + that they had always distrusted the appearance of his goodness. + Elizabeth, though she did not credit above half of what was said, + believed enough to make her former assurance of her sister’s ruin + more certain; and even Jane, who believed still less of it, + became almost hopeless, more especially as the time was now come + when, if they had gone to Scotland, which she had never before + entirely despaired of, they must in all probability have gained + some news of them. + + Mr. Gardiner left Longbourn on Sunday; on Tuesday his wife + received a letter from him; it told them that, on his arrival, he + had immediately found out his brother, and persuaded him to come + to Gracechurch Street; that Mr. Bennet had been to Epsom and + Clapham, before his arrival, but without gaining any satisfactory + information; and that he was now determined to inquire at all the + principal hotels in town, as Mr. Bennet thought it possible they + might have gone to one of them, on their first coming to London, + before they procured lodgings. Mr. Gardiner himself did not + expect any success from this measure, but as his brother was + eager in it, he meant to assist him in pursuing it. He added that + Mr. Bennet seemed wholly disinclined at present to leave London + and promised to write again very soon. There was also a + postscript to this effect: + + “I have written to Colonel Forster to desire him to find out, if + possible, from some of the young man’s intimates in the regiment, + whether Wickham has any relations or connections who would be + likely to know in what part of town he has now concealed himself. + If there were anyone that one could apply to with a probability + of gaining such a clue as that, it might be of essential + consequence. At present we have nothing to guide us. Colonel + Forster will, I dare say, do everything in his power to satisfy + us on this head. But, on second thoughts, perhaps, Lizzy could + tell us what relations he has now living, better than any other + person.” + + Elizabeth was at no loss to understand from whence this deference + to her authority proceeded; but it was not in her power to give + any information of so satisfactory a nature as the compliment + deserved. She had never heard of his having had any relations, + except a father and mother, both of whom had been dead many + years. It was possible, however, that some of his companions in + the ——shire might be able to give more information; and though + she was not very sanguine in expecting it, the application was a + something to look forward to. + + Every day at Longbourn was now a day of anxiety; but the most + anxious part of each was when the post was expected. The arrival + of letters was the grand object of every morning’s impatience. + Through letters, whatever of good or bad was to be told would be + communicated, and every succeeding day was expected to bring some + news of importance. + + But before they heard again from Mr. Gardiner, a letter arrived + for their father, from a different quarter, from Mr. Collins; + which, as Jane had received directions to open all that came for + him in his absence, she accordingly read; and Elizabeth, who knew + what curiosities his letters always were, looked over her, and + read it likewise. It was as follows: + + “My dear Sir, + “I feel myself called upon, by our relationship, and my situation + in life, to condole with you on the grievous affliction you are + now suffering under, of which we were yesterday informed by a + letter from Hertfordshire. Be assured, my dear sir, that Mrs. + Collins and myself sincerely sympathise with you and all your + respectable family, in your present distress, which must be of + the bitterest kind, because proceeding from a cause which no time + can remove. No arguments shall be wanting on my part that can + alleviate so severe a misfortune—or that may comfort you, under a + circumstance that must be of all others the most afflicting to a + parent’s mind. The death of your daughter would have been a + blessing in comparison of this. And it is the more to be + lamented, because there is reason to suppose as my dear Charlotte + informs me, that this licentiousness of behaviour in your + daughter has proceeded from a faulty degree of indulgence; + though, at the same time, for the consolation of yourself and + Mrs. Bennet, I am inclined to think that her own disposition must + be naturally bad, or she could not be guilty of such an enormity, + at so early an age. Howsoever that may be, you are grievously to + be pitied; in which opinion I am not only joined by Mrs. Collins, + but likewise by Lady Catherine and her daughter, to whom I have + related the affair. They agree with me in apprehending that this + false step in one daughter will be injurious to the fortunes of + all the others; for who, as Lady Catherine herself + condescendingly says, will connect themselves with such a family? + And this consideration leads me moreover to reflect, with + augmented satisfaction, on a certain event of last November; for + had it been otherwise, I must have been involved in all your + sorrow and disgrace. Let me then advise you, dear sir, to console + yourself as much as possible, to throw off your unworthy child + from your affection for ever, and leave her to reap the fruits of + her own heinous offense. + + “I am, dear sir, etc., etc.” + + Mr. Gardiner did not write again till he had received an answer + from Colonel Forster; and then he had nothing of a pleasant + nature to send. It was not known that Wickham had a single + relationship with whom he kept up any connection, and it was + certain that he had no near one living. His former acquaintances + had been numerous; but since he had been in the militia, it did + not appear that he was on terms of particular friendship with any + of them. There was no one, therefore, who could be pointed out as + likely to give any news of him. And in the wretched state of his + own finances, there was a very powerful motive for secrecy, in + addition to his fear of discovery by Lydia’s relations, for it + had just transpired that he had left gaming debts behind him to a + very considerable amount. Colonel Forster believed that more than + a thousand pounds would be necessary to clear his expenses at + Brighton. He owed a good deal in town, but his debts of honour + were still more formidable. Mr. Gardiner did not attempt to + conceal these particulars from the Longbourn family. Jane heard + them with horror. “A gamester!” she cried. “This is wholly + unexpected. I had not an idea of it.” + + Mr. Gardiner added in his letter, that they might expect to see + their father at home on the following day, which was Saturday. + Rendered spiritless by the ill-success of all their endeavours, + he had yielded to his brother-in-law’s entreaty that he would + return to his family, and leave it to him to do whatever occasion + might suggest to be advisable for continuing their pursuit. When + Mrs. Bennet was told of this, she did not express so much + satisfaction as her children expected, considering what her + anxiety for his life had been before. + + “What, is he coming home, and without poor Lydia?” she cried. + “Sure he will not leave London before he has found them. Who is + to fight Wickham, and make him marry her, if he comes away?” + + As Mrs. Gardiner began to wish to be at home, it was settled that + she and the children should go to London, at the same time that + Mr. Bennet came from it. The coach, therefore, took them the + first stage of their journey, and brought its master back to + Longbourn. + + Mrs. Gardiner went away in all the perplexity about Elizabeth and + her Derbyshire friend that had attended her from that part of the + world. His name had never been voluntarily mentioned before them + by her niece; and the kind of half-expectation which Mrs. + Gardiner had formed, of their being followed by a letter from + him, had ended in nothing. Elizabeth had received none since her + return that could come from Pemberley. + + The present unhappy state of the family rendered any other excuse + for the lowness of her spirits unnecessary; nothing, therefore, + could be fairly conjectured from _that_, though Elizabeth, who + was by this time tolerably well acquainted with her own feelings, + was perfectly aware that, had she known nothing of Darcy, she + could have borne the dread of Lydia’s infamy somewhat better. It + would have spared her, she thought, one sleepless night out of + two. + + When Mr. Bennet arrived, he had all the appearance of his usual + philosophic composure. He said as little as he had ever been in + the habit of saying; made no mention of the business that had + taken him away, and it was some time before his daughters had + courage to speak of it. + + It was not till the afternoon, when he had joined them at tea, + that Elizabeth ventured to introduce the subject; and then, on + her briefly expressing her sorrow for what he must have endured, + he replied, “Say nothing of that. Who should suffer but myself? + It has been my own doing, and I ought to feel it.” + + “You must not be too severe upon yourself,” replied Elizabeth. + + “You may well warn me against such an evil. Human nature is so + prone to fall into it! No, Lizzy, let me once in my life feel how + much I have been to blame. I am not afraid of being overpowered + by the impression. It will pass away soon enough.” + + “Do you suppose them to be in London?” + + “Yes; where else can they be so well concealed?” + + “And Lydia used to want to go to London,” added Kitty. + + “She is happy then,” said her father drily; “and her residence + there will probably be of some duration.” + + Then after a short silence he continued: + + “Lizzy, I bear you no ill-will for being justified in your advice + to me last May, which, considering the event, shows some + greatness of mind.” + + They were interrupted by Miss Bennet, who came to fetch her + mother’s tea. + + “This is a parade,” he cried, “which does one good; it gives such + an elegance to misfortune! Another day I will do the same; I will + sit in my library, in my nightcap and powdering gown, and give as + much trouble as I can; or, perhaps, I may defer it till Kitty + runs away.” + + “I am not going to run away, papa,” said Kitty fretfully. “If _I_ + should ever go to Brighton, I would behave better than Lydia.” + + “_You_ go to Brighton. I would not trust you so near it as + Eastbourne for fifty pounds! No, Kitty, I have at last learnt to + be cautious, and you will feel the effects of it. No officer is + ever to enter into my house again, nor even to pass through the + village. Balls will be absolutely prohibited, unless you stand up + with one of your sisters. And you are never to stir out of doors + till you can prove that you have spent ten minutes of every day + in a rational manner.” + + Kitty, who took all these threats in a serious light, began to + cry. + + “Well, well,” said he, “do not make yourself unhappy. If you are + a good girl for the next ten years, I will take you to a review + at the end of them.” + + + + + Chapter 49 + + Two days after Mr. Bennet’s return, as Jane and Elizabeth were + walking together in the shrubbery behind the house, they saw the + housekeeper coming towards them, and, concluding that she came to + call them to their mother, went forward to meet her; but, instead + of the expected summons, when they approached her, she said to + Miss Bennet, “I beg your pardon, madam, for interrupting you, but + I was in hopes you might have got some good news from town, so I + took the liberty of coming to ask.” + + “What do you mean, Hill? We have heard nothing from town.” + + “Dear madam,” cried Mrs. Hill, in great astonishment, “don’t you + know there is an express come for master from Mr. Gardiner? He + has been here this half-hour, and master has had a letter.” + + Away ran the girls, too eager to get in to have time for speech. + They ran through the vestibule into the breakfast-room; from + thence to the library; their father was in neither; and they were + on the point of seeking him up stairs with their mother, when + they were met by the butler, who said: + + “If you are looking for my master, ma’am, he is walking towards + the little copse.” + + Upon this information, they instantly passed through the hall + once more, and ran across the lawn after their father, who was + deliberately pursuing his way towards a small wood on one side of + the paddock. + + Jane, who was not so light nor so much in the habit of running as + Elizabeth, soon lagged behind, while her sister, panting for + breath, came up with him, and eagerly cried out: + + “Oh, papa, what news—what news? Have you heard from my uncle?” + + “Yes I have had a letter from him by express.” + + “Well, and what news does it bring—good or bad?” + + “What is there of good to be expected?” said he, taking the + letter from his pocket. “But perhaps you would like to read it.” + + Elizabeth impatiently caught it from his hand. Jane now came up. + + “Read it aloud,” said their father, “for I hardly know myself + what it is about.” + + “Gracechurch Street, _Monday, August_ 2. + + “My dear Brother, + “At last I am able to send you some tidings of my niece, and such + as, upon the whole, I hope it will give you satisfaction. Soon + after you left me on Saturday, I was fortunate enough to find out + in what part of London they were. The particulars I reserve till + we meet; it is enough to know they are discovered. I have seen + them both—” + “Then it is as I always hoped,” cried Jane; “they are + married!” + + Elizabeth read on: + + “I have seen them both. They are not married, nor can I find + there was any intention of being so; but if you are willing to + perform the engagements which I have ventured to make on your + side, I hope it will not be long before they are. All that is + required of you is, to assure to your daughter, by settlement, + her equal share of the five thousand pounds secured among your + children after the decease of yourself and my sister; and, + moreover, to enter into an engagement of allowing her, during + your life, one hundred pounds per annum. These are conditions + which, considering everything, I had no hesitation in complying + with, as far as I thought myself privileged, for you. I shall + send this by express, that no time may be lost in bringing me + your answer. You will easily comprehend, from these particulars, + that Mr. Wickham’s circumstances are not so hopeless as they are + generally believed to be. The world has been deceived in that + respect; and I am happy to say there will be some little money, + even when all his debts are discharged, to settle on my niece, in + addition to her own fortune. If, as I conclude will be the case, + you send me full powers to act in your name throughout the whole + of this business, I will immediately give directions to + Haggerston for preparing a proper settlement. There will not be + the smallest occasion for your coming to town again; therefore + stay quiet at Longbourn, and depend on my diligence and care. + Send back your answer as fast as you can, and be careful to write + explicitly. We have judged it best that my niece should be + married from this house, of which I hope you will approve. She + comes to us to-day. I shall write again as soon as anything more + is determined on. Yours, etc., + + “EDW. GARDINER.” + + “Is it possible?” cried Elizabeth, when she had finished. “Can it + be possible that he will marry her?” + + “Wickham is not so undeserving, then, as we thought him,” said + her sister. “My dear father, I congratulate you.” + + “And have you answered the letter?” cried Elizabeth. + + “No; but it must be done soon.” + + Most earnestly did she then entreat him to lose no more time + before he wrote. + + “Oh! my dear father,” she cried, “come back and write + immediately. Consider how important every moment is in such a + case.” + + “Let me write for you,” said Jane, “if you dislike the trouble + yourself.” + + “I dislike it very much,” he replied; “but it must be done.” + + And so saying, he turned back with them, and walked towards the + house. + + “And may I ask—” said Elizabeth; “but the terms, I suppose, must + be complied with.” + + “Complied with! I am only ashamed of his asking so little.” + + “And they _must_ marry! Yet he is _such_ a man!” + + “Yes, yes, they must marry. There is nothing else to be done. But + there are two things that I want very much to know; one is, how + much money your uncle has laid down to bring it about; and the + other, how am I ever to pay him.” + + “Money! My uncle!” cried Jane, “what do you mean, sir?” + + “I mean, that no man in his senses would marry Lydia on so slight + a temptation as one hundred a year during my life, and fifty + after I am gone.” + + “That is very true,” said Elizabeth; “though it had not occurred + to me before. His debts to be discharged, and something still to + remain! Oh! it must be my uncle’s doings! Generous, good man, I + am afraid he has distressed himself. A small sum could not do all + this.” + + “No,” said her father; “Wickham’s a fool if he takes her with a + farthing less than ten thousand pounds. I should be sorry to + think so ill of him, in the very beginning of our relationship.” + + “Ten thousand pounds! Heaven forbid! How is half such a sum to be + repaid?” + + Mr. Bennet made no answer, and each of them, deep in thought, + continued silent till they reached the house. Their father then + went on to the library to write, and the girls walked into the + breakfast-room. + + “And they are really to be married!” cried Elizabeth, as soon as + they were by themselves. “How strange this is! And for _this_ we + are to be thankful. That they should marry, small as is their + chance of happiness, and wretched as is his character, we are + forced to rejoice. Oh, Lydia!” + + “I comfort myself with thinking,” replied Jane, “that he + certainly would not marry Lydia if he had not a real regard for + her. Though our kind uncle has done something towards clearing + him, I cannot believe that ten thousand pounds, or anything like + it, has been advanced. He has children of his own, and may have + more. How could he spare half ten thousand pounds?” + + “If he were ever able to learn what Wickham’s debts have been,” + said Elizabeth, “and how much is settled on his side on our + sister, we shall exactly know what Mr. Gardiner has done for + them, because Wickham has not sixpence of his own. The kindness + of my uncle and aunt can never be requited. Their taking her + home, and affording her their personal protection and + countenance, is such a sacrifice to her advantage as years of + gratitude cannot enough acknowledge. By this time she is actually + with them! If such goodness does not make her miserable now, she + will never deserve to be happy! What a meeting for her, when she + first sees my aunt!” + + “We must endeavour to forget all that has passed on either side,” + said Jane: “I hope and trust they will yet be happy. His + consenting to marry her is a proof, I will believe, that he is + come to a right way of thinking. Their mutual affection will + steady them; and I flatter myself they will settle so quietly, + and live in so rational a manner, as may in time make their past + imprudence forgotten.” + + “Their conduct has been such,” replied Elizabeth, “as neither + you, nor I, nor anybody can ever forget. It is useless to talk of + it.” + + It now occurred to the girls that their mother was in all + likelihood perfectly ignorant of what had happened. They went to + the library, therefore, and asked their father whether he would + not wish them to make it known to her. He was writing and, + without raising his head, coolly replied: + + “Just as you please.” + + “May we take my uncle’s letter to read to her?” + + “Take whatever you like, and get away.” + + Elizabeth took the letter from his writing-table, and they went + up stairs together. Mary and Kitty were both with Mrs. Bennet: + one communication would, therefore, do for all. After a slight + preparation for good news, the letter was read aloud. Mrs. Bennet + could hardly contain herself. As soon as Jane had read Mr. + Gardiner’s hope of Lydia’s being soon married, her joy burst + forth, and every following sentence added to its exuberance. She + was now in an irritation as violent from delight, as she had ever + been fidgety from alarm and vexation. To know that her daughter + would be married was enough. She was disturbed by no fear for her + felicity, nor humbled by any remembrance of her misconduct. + + “My dear, dear Lydia!” she cried. “This is delightful indeed! She + will be married! I shall see her again! She will be married at + sixteen! My good, kind brother! I knew how it would be. I knew he + would manage everything! How I long to see her! and to see dear + Wickham too! But the clothes, the wedding clothes! I will write + to my sister Gardiner about them directly. Lizzy, my dear, run + down to your father, and ask him how much he will give her. Stay, + stay, I will go myself. Ring the bell, Kitty, for Hill. I will + put on my things in a moment. My dear, dear Lydia! How merry we + shall be together when we meet!” + + Her eldest daughter endeavoured to give some relief to the + violence of these transports, by leading her thoughts to the + obligations which Mr. Gardiner’s behaviour laid them all under. + + “For we must attribute this happy conclusion,” she added, “in a + great measure to his kindness. We are persuaded that he has + pledged himself to assist Mr. Wickham with money.” + + “Well,” cried her mother, “it is all very right; who should do it + but her own uncle? If he had not had a family of his own, I and + my children must have had all his money, you know; and it is the + first time we have ever had anything from him, except a few + presents. Well! I am so happy! In a short time I shall have a + daughter married. Mrs. Wickham! How well it sounds! And she was + only sixteen last June. My dear Jane, I am in such a flutter, + that I am sure I can’t write; so I will dictate, and you write + for me. We will settle with your father about the money + afterwards; but the things should be ordered immediately.” + + She was then proceeding to all the particulars of calico, muslin, + and cambric, and would shortly have dictated some very plentiful + orders, had not Jane, though with some difficulty, persuaded her + to wait till her father was at leisure to be consulted. One day’s + delay, she observed, would be of small importance; and her mother + was too happy to be quite so obstinate as usual. Other schemes, + too, came into her head. + + “I will go to Meryton,” said she, “as soon as I am dressed, and + tell the good, good news to my sister Philips. And as I come + back, I can call on Lady Lucas and Mrs. Long. Kitty, run down and + order the carriage. An airing would do me a great deal of good, I + am sure. Girls, can I do anything for you in Meryton? Oh! Here + comes Hill! My dear Hill, have you heard the good news? Miss + Lydia is going to be married; and you shall all have a bowl of + punch to make merry at her wedding.” + + Mrs. Hill began instantly to express her joy. Elizabeth received + her congratulations amongst the rest, and then, sick of this + folly, took refuge in her own room, that she might think with + freedom. + + Poor Lydia’s situation must, at best, be bad enough; but that it + was no worse, she had need to be thankful. She felt it so; and + though, in looking forward, neither rational happiness nor + worldly prosperity could be justly expected for her sister, in + looking back to what they had feared, only two hours ago, she + felt all the advantages of what they had gained. + + + + + Chapter 50 + + Mr. Bennet had very often wished before this period of his life + that, instead of spending his whole income, he had laid by an + annual sum for the better provision of his children, and of his + wife, if she survived him. He now wished it more than ever. Had + he done his duty in that respect, Lydia need not have been + indebted to her uncle for whatever of honour or credit could now + be purchased for her. The satisfaction of prevailing on one of + the most worthless young men in Great Britain to be her husband + might then have rested in its proper place. + + He was seriously concerned that a cause of so little advantage to + anyone should be forwarded at the sole expense of his + brother-in-law, and he was determined, if possible, to find out + the extent of his assistance, and to discharge the obligation as + soon as he could. + + When first Mr. Bennet had married, economy was held to be + perfectly useless, for, of course, they were to have a son. The + son was to join in cutting off the entail, as soon as he should + be of age, and the widow and younger children would by that means + be provided for. Five daughters successively entered the world, + but yet the son was to come; and Mrs. Bennet, for many years + after Lydia’s birth, had been certain that he would. This event + had at last been despaired of, but it was then too late to be + saving. Mrs. Bennet had no turn for economy, and her husband’s + love of independence had alone prevented their exceeding their + income. + + Five thousand pounds was settled by marriage articles on Mrs. + Bennet and the children. But in what proportions it should be + divided amongst the latter depended on the will of the parents. + This was one point, with regard to Lydia, at least, which was now + to be settled, and Mr. Bennet could have no hesitation in + acceding to the proposal before him. In terms of grateful + acknowledgment for the kindness of his brother, though expressed + most concisely, he then delivered on paper his perfect + approbation of all that was done, and his willingness to fulfil + the engagements that had been made for him. He had never before + supposed that, could Wickham be prevailed on to marry his + daughter, it would be done with so little inconvenience to + himself as by the present arrangement. He would scarcely be ten + pounds a year the loser by the hundred that was to be paid them; + for, what with her board and pocket allowance, and the continual + presents in money which passed to her through her mother’s hands, + Lydia’s expenses had been very little within that sum. + + That it would be done with such trifling exertion on his side, + too, was another very welcome surprise; for his wish at present + was to have as little trouble in the business as possible. When + the first transports of rage which had produced his activity in + seeking her were over, he naturally returned to all his former + indolence. His letter was soon dispatched; for, though dilatory + in undertaking business, he was quick in its execution. He begged + to know further particulars of what he was indebted to his + brother, but was too angry with Lydia to send any message to her. + + The good news spread quickly through the house, and with + proportionate speed through the neighbourhood. It was borne in + the latter with decent philosophy. To be sure, it would have been + more for the advantage of conversation had Miss Lydia Bennet come + upon the town; or, as the happiest alternative, been secluded + from the world, in some distant farmhouse. But there was much to + be talked of in marrying her; and the good-natured wishes for her + well-doing which had proceeded before from all the spiteful old + ladies in Meryton lost but a little of their spirit in this + change of circumstances, because with such an husband her misery + was considered certain. + + It was a fortnight since Mrs. Bennet had been downstairs; but on + this happy day she again took her seat at the head of her table, + and in spirits oppressively high. No sentiment of shame gave a + damp to her triumph. The marriage of a daughter, which had been + the first object of her wishes since Jane was sixteen, was now on + the point of accomplishment, and her thoughts and her words ran + wholly on those attendants of elegant nuptials, fine muslins, new + carriages, and servants. She was busily searching through the + neighbourhood for a proper situation for her daughter, and, + without knowing or considering what their income might be, + rejected many as deficient in size and importance. + + “Haye Park might do,” said she, “if the Gouldings could quit + it—or the great house at Stoke, if the drawing-room were larger; + but Ashworth is too far off! I could not bear to have her ten + miles from me; and as for Pulvis Lodge, the attics are dreadful.” + + Her husband allowed her to talk on without interruption while the + servants remained. But when they had withdrawn, he said to her: + “Mrs. Bennet, before you take any or all of these houses for your + son and daughter, let us come to a right understanding. Into + _one_ house in this neighbourhood they shall never have + admittance. I will not encourage the impudence of either, by + receiving them at Longbourn.” + + A long dispute followed this declaration; but Mr. Bennet was + firm. It soon led to another; and Mrs. Bennet found, with + amazement and horror, that her husband would not advance a guinea + to buy clothes for his daughter. He protested that she should + receive from him no mark of affection whatever on the occasion. + Mrs. Bennet could hardly comprehend it. That his anger could be + carried to such a point of inconceivable resentment as to refuse + his daughter a privilege without which her marriage would + scarcely seem valid, exceeded all she could believe possible. She + was more alive to the disgrace which her want of new clothes must + reflect on her daughter’s nuptials, than to any sense of shame at + her eloping and living with Wickham a fortnight before they took + place. + + Elizabeth was now most heartily sorry that she had, from the + distress of the moment, been led to make Mr. Darcy acquainted + with their fears for her sister; for since her marriage would so + shortly give the proper termination to the elopement, they might + hope to conceal its unfavourable beginning from all those who + were not immediately on the spot. + + She had no fear of its spreading farther through his means. There + were few people on whose secrecy she would have more confidently + depended; but, at the same time, there was no one whose knowledge + of a sister’s frailty would have mortified her so much—not, + however, from any fear of disadvantage from it individually to + herself, for, at any rate, there seemed a gulf impassable between + them. Had Lydia’s marriage been concluded on the most honourable + terms, it was not to be supposed that Mr. Darcy would connect + himself with a family where, to every other objection, would now + be added an alliance and relationship of the nearest kind with a + man whom he so justly scorned. + + From such a connection she could not wonder that he would shrink. + The wish of procuring her regard, which she had assured herself + of his feeling in Derbyshire, could not in rational expectation + survive such a blow as this. She was humbled, she was grieved; + she repented, though she hardly knew of what. She became jealous + of his esteem, when she could no longer hope to be benefited by + it. She wanted to hear of him, when there seemed the least chance + of gaining intelligence. She was convinced that she could have + been happy with him, when it was no longer likely they should + meet. + + What a triumph for him, as she often thought, could he know that + the proposals which she had proudly spurned only four months ago, + would now have been most gladly and gratefully received! He was + as generous, she doubted not, as the most generous of his sex; + but while he was mortal, there must be a triumph. + + She began now to comprehend that he was exactly the man who, in + disposition and talents, would most suit her. His understanding + and temper, though unlike her own, would have answered all her + wishes. It was an union that must have been to the advantage of + both; by her ease and liveliness, his mind might have been + softened, his manners improved; and from his judgement, + information, and knowledge of the world, she must have received + benefit of greater importance. + + But no such happy marriage could now teach the admiring multitude + what connubial felicity really was. An union of a different + tendency, and precluding the possibility of the other, was soon + to be formed in their family. + + How Wickham and Lydia were to be supported in tolerable + independence, she could not imagine. But how little of permanent + happiness could belong to a couple who were only brought together + because their passions were stronger than their virtue, she could + easily conjecture. + + Mr. Gardiner soon wrote again to his brother. To Mr. Bennet’s + acknowledgments he briefly replied, with assurance of his + eagerness to promote the welfare of any of his family; and + concluded with entreaties that the subject might never be + mentioned to him again. The principal purport of his letter was + to inform them that Mr. Wickham had resolved on quitting the + militia. + + “It was greatly my wish that he should do so,” he added, “as soon + as his marriage was fixed on. And I think you will agree with me, + in considering the removal from that corps as highly advisable, + both on his account and my niece’s. It is Mr. Wickham’s intention + to go into the regulars; and among his former friends, there are + still some who are able and willing to assist him in the army. He + has the promise of an ensigncy in General ——’s regiment, now + quartered in the North. It is an advantage to have it so far from + this part of the kingdom. He promises fairly; and I hope among + different people, where they may each have a character to + preserve, they will both be more prudent. I have written to + Colonel Forster, to inform him of our present arrangements, and + to request that he will satisfy the various creditors of Mr. + Wickham in and near Brighton, with assurances of speedy payment, + for which I have pledged myself. And will you give yourself the + trouble of carrying similar assurances to his creditors in + Meryton, of whom I shall subjoin a list according to his + information? He has given in all his debts; I hope at least he + has not deceived us. Haggerston has our directions, and all will + be completed in a week. They will then join his regiment, unless + they are first invited to Longbourn; and I understand from Mrs. + Gardiner, that my niece is very desirous of seeing you all before + she leaves the South. She is well, and begs to be dutifully + remembered to you and her mother.—Yours, etc., + + “E. GARDINER.” + + Mr. Bennet and his daughters saw all the advantages of Wickham’s + removal from the ——shire as clearly as Mr. Gardiner could do. But + Mrs. Bennet was not so well pleased with it. Lydia’s being + settled in the North, just when she had expected most pleasure + and pride in her company, for she had by no means given up her + plan of their residing in Hertfordshire, was a severe + disappointment; and, besides, it was such a pity that Lydia + should be taken from a regiment where she was acquainted with + everybody, and had so many favourites. + + “She is so fond of Mrs. Forster,” said she, “it will be quite + shocking to send her away! And there are several of the young + men, too, that she likes very much. The officers may not be so + pleasant in General ——’s regiment.” + + His daughter’s request, for such it might be considered, of being + admitted into her family again before she set off for the North, + received at first an absolute negative. But Jane and Elizabeth, + who agreed in wishing, for the sake of their sister’s feelings + and consequence, that she should be noticed on her marriage by + her parents, urged him so earnestly yet so rationally and so + mildly, to receive her and her husband at Longbourn, as soon as + they were married, that he was prevailed on to think as they + thought, and act as they wished. And their mother had the + satisfaction of knowing that she would be able to show her + married daughter in the neighbourhood before she was banished to + the North. When Mr. Bennet wrote again to his brother, therefore, + he sent his permission for them to come; and it was settled, that + as soon as the ceremony was over, they should proceed to + Longbourn. Elizabeth was surprised, however, that Wickham should + consent to such a scheme, and had she consulted only her own + inclination, any meeting with him would have been the last object + of her wishes. + + + + + Chapter 51 + + Their sister’s wedding day arrived; and Jane and Elizabeth felt + for her probably more than she felt for herself. The carriage was + sent to meet them at ——, and they were to return in it by + dinner-time. Their arrival was dreaded by the elder Miss Bennets, + and Jane more especially, who gave Lydia the feelings which would + have attended herself, had _she_ been the culprit, and was + wretched in the thought of what her sister must endure. + + They came. The family were assembled in the breakfast room to + receive them. Smiles decked the face of Mrs. Bennet as the + carriage drove up to the door; her husband looked impenetrably + grave; her daughters, alarmed, anxious, uneasy. + + Lydia’s voice was heard in the vestibule; the door was thrown + open, and she ran into the room. Her mother stepped forwards, + embraced her, and welcomed her with rapture; gave her hand, with + an affectionate smile, to Wickham, who followed his lady; and + wished them both joy with an alacrity which shewed no doubt of + their happiness. + + Their reception from Mr. Bennet, to whom they then turned, was + not quite so cordial. His countenance rather gained in austerity; + and he scarcely opened his lips. The easy assurance of the young + couple, indeed, was enough to provoke him. Elizabeth was + disgusted, and even Miss Bennet was shocked. Lydia was Lydia + still; untamed, unabashed, wild, noisy, and fearless. She turned + from sister to sister, demanding their congratulations; and when + at length they all sat down, looked eagerly round the room, took + notice of some little alteration in it, and observed, with a + laugh, that it was a great while since she had been there. + + Wickham was not at all more distressed than herself, but his + manners were always so pleasing, that had his character and his + marriage been exactly what they ought, his smiles and his easy + address, while he claimed their relationship, would have + delighted them all. Elizabeth had not before believed him quite + equal to such assurance; but she sat down, resolving within + herself to draw no limits in future to the impudence of an + impudent man. _She_ blushed, and Jane blushed; but the cheeks of + the two who caused their confusion suffered no variation of + colour. + + There was no want of discourse. The bride and her mother could + neither of them talk fast enough; and Wickham, who happened to + sit near Elizabeth, began inquiring after his acquaintance in + that neighbourhood, with a good humoured ease which she felt very + unable to equal in her replies. They seemed each of them to have + the happiest memories in the world. Nothing of the past was + recollected with pain; and Lydia led voluntarily to subjects + which her sisters would not have alluded to for the world. + + “Only think of its being three months,” she cried, “since I went + away; it seems but a fortnight I declare; and yet there have been + things enough happened in the time. Good gracious! when I went + away, I am sure I had no more idea of being married till I came + back again! though I thought it would be very good fun if I was.” + + Her father lifted up his eyes. Jane was distressed. Elizabeth + looked expressively at Lydia; but she, who never heard nor saw + anything of which she chose to be insensible, gaily continued, + “Oh! mamma, do the people hereabouts know I am married to-day? I + was afraid they might not; and we overtook William Goulding in + his curricle, so I was determined he should know it, and so I let + down the side-glass next to him, and took off my glove, and let + my hand just rest upon the window frame, so that he might see the + ring, and then I bowed and smiled like anything.” + + Elizabeth could bear it no longer. She got up, and ran out of the + room; and returned no more, till she heard them passing through + the hall to the dining parlour. She then joined them soon enough + to see Lydia, with anxious parade, walk up to her mother’s right + hand, and hear her say to her eldest sister, “Ah! Jane, I take + your place now, and you must go lower, because I am a married + woman.” + + It was not to be supposed that time would give Lydia that + embarrassment from which she had been so wholly free at first. + Her ease and good spirits increased. She longed to see Mrs. + Phillips, the Lucases, and all their other neighbours, and to + hear herself called “Mrs. Wickham” by each of them; and in the + mean time, she went after dinner to show her ring, and boast of + being married, to Mrs. Hill and the two housemaids. + + “Well, mamma,” said she, when they were all returned to the + breakfast room, “and what do you think of my husband? Is not he a + charming man? I am sure my sisters must all envy me. I only hope + they may have half my good luck. They must all go to Brighton. + That is the place to get husbands. What a pity it is, mamma, we + did not all go.” + + “Very true; and if I had my will, we should. But my dear Lydia, I + don’t at all like your going such a way off. Must it be so?” + + “Oh, lord! yes;—there is nothing in that. I shall like it of all + things. You and papa, and my sisters, must come down and see us. + We shall be at Newcastle all the winter, and I dare say there + will be some balls, and I will take care to get good partners for + them all.” + + “I should like it beyond anything!” said her mother. + + “And then when you go away, you may leave one or two of my + sisters behind you; and I dare say I shall get husbands for them + before the winter is over.” + + “I thank you for my share of the favour,” said Elizabeth; “but I + do not particularly like your way of getting husbands.” + + Their visitors were not to remain above ten days with them. Mr. + Wickham had received his commission before he left London, and he + was to join his regiment at the end of a fortnight. + + No one but Mrs. Bennet regretted that their stay would be so + short; and she made the most of the time by visiting about with + her daughter, and having very frequent parties at home. These + parties were acceptable to all; to avoid a family circle was even + more desirable to such as did think, than such as did not. + + Wickham’s affection for Lydia was just what Elizabeth had + expected to find it; not equal to Lydia’s for him. She had + scarcely needed her present observation to be satisfied, from the + reason of things, that their elopement had been brought on by the + strength of her love, rather than by his; and she would have + wondered why, without violently caring for her, he chose to elope + with her at all, had she not felt certain that his flight was + rendered necessary by distress of circumstances; and if that were + the case, he was not the young man to resist an opportunity of + having a companion. + + Lydia was exceedingly fond of him. He was her dear Wickham on + every occasion; no one was to be put in competition with him. He + did every thing best in the world; and she was sure he would kill + more birds on the first of September, than any body else in the + country. + + One morning, soon after their arrival, as she was sitting with + her two elder sisters, she said to Elizabeth: + + “Lizzy, I never gave _you_ an account of my wedding, I believe. + You were not by, when I told mamma and the others all about it. + Are not you curious to hear how it was managed?” + + “No really,” replied Elizabeth; “I think there cannot be too + little said on the subject.” + + “La! You are so strange! But I must tell you how it went off. We + were married, you know, at St. Clement’s, because Wickham’s + lodgings were in that parish. And it was settled that we should + all be there by eleven o’clock. My uncle and aunt and I were to + go together; and the others were to meet us at the church. Well, + Monday morning came, and I was in such a fuss! I was so afraid, + you know, that something would happen to put it off, and then I + should have gone quite distracted. And there was my aunt, all the + time I was dressing, preaching and talking away just as if she + was reading a sermon. However, I did not hear above one word in + ten, for I was thinking, you may suppose, of my dear Wickham. I + longed to know whether he would be married in his blue coat.” + + “Well, and so we breakfasted at ten as usual; I thought it would + never be over; for, by the bye, you are to understand, that my + uncle and aunt were horrid unpleasant all the time I was with + them. If you’ll believe me, I did not once put my foot out of + doors, though I was there a fortnight. Not one party, or scheme, + or anything. To be sure London was rather thin, but, however, the + Little Theatre was open. Well, and so just as the carriage came + to the door, my uncle was called away upon business to that + horrid man Mr. Stone. And then, you know, when once they get + together, there is no end of it. Well, I was so frightened I did + not know what to do, for my uncle was to give me away; and if we + were beyond the hour, we could not be married all day. But, + luckily, he came back again in ten minutes’ time, and then we all + set out. However, I recollected afterwards that if he _had_ been + prevented going, the wedding need not be put off, for Mr. Darcy + might have done as well.” + + “Mr. Darcy!” repeated Elizabeth, in utter amazement. + + “Oh, yes!—he was to come there with Wickham, you know. But + gracious me! I quite forgot! I ought not to have said a word + about it. I promised them so faithfully! What will Wickham say? + It was to be such a secret!” + + “If it was to be secret,” said Jane, “say not another word on the + subject. You may depend upon my seeking no further.” + + “Oh! certainly,” said Elizabeth, though burning with curiosity; + “we will ask you no questions.” + + “Thank you,” said Lydia, “for if you did, I should certainly tell + you all, and then Wickham would be angry.” + + On such encouragement to ask, Elizabeth was forced to put it out + of her power, by running away. + + But to live in ignorance on such a point was impossible; or at + least it was impossible not to try for information. Mr. Darcy had + been at her sister’s wedding. It was exactly a scene, and exactly + among people, where he had apparently least to do, and least + temptation to go. Conjectures as to the meaning of it, rapid and + wild, hurried into her brain; but she was satisfied with none. + Those that best pleased her, as placing his conduct in the + noblest light, seemed most improbable. She could not bear such + suspense; and hastily seizing a sheet of paper, wrote a short + letter to her aunt, to request an explanation of what Lydia had + dropt, if it were compatible with the secrecy which had been + intended. + + “You may readily comprehend,” she added, “what my curiosity must + be to know how a person unconnected with any of us, and + (comparatively speaking) a stranger to our family, should have + been amongst you at such a time. Pray write instantly, and let me + understand it—unless it is, for very cogent reasons, to remain in + the secrecy which Lydia seems to think necessary; and then I must + endeavour to be satisfied with ignorance.” + + “Not that I _shall_, though,” she added to herself, as she + finished the letter; “and my dear aunt, if you do not tell me in + an honourable manner, I shall certainly be reduced to tricks and + stratagems to find it out.” + + Jane’s delicate sense of honour would not allow her to speak to + Elizabeth privately of what Lydia had let fall; Elizabeth was + glad of it;—till it appeared whether her inquiries would receive + any satisfaction, she had rather be without a confidante. + + + + + Chapter 52 + + Elizabeth had the satisfaction of receiving an answer to her + letter as soon as she possibly could. She was no sooner in + possession of it than, hurrying into the little copse, where she + was least likely to be interrupted, she sat down on one of the + benches and prepared to be happy; for the length of the letter + convinced her that it did not contain a denial. + + “Gracechurch Street, _Sept_. 6. + + “My dear Niece, + + “I have just received your letter, and shall devote this whole + morning to answering it, as I foresee that a _little_ writing + will not comprise what I have to tell you. I must confess myself + surprised by your application; I did not expect it from _you_. + Don’t think me angry, however, for I only mean to let you know + that I had not imagined such inquiries to be necessary on _your_ + side. If you do not choose to understand me, forgive my + impertinence. Your uncle is as much surprised as I am—and nothing + but the belief of your being a party concerned would have allowed + him to act as he has done. But if you are really innocent and + ignorant, I must be more explicit. + + “On the very day of my coming home from Longbourn, your uncle had + a most unexpected visitor. Mr. Darcy called, and was shut up with + him several hours. It was all over before I arrived; so my + curiosity was not so dreadfully racked as _yours_ seems to have + been. He came to tell Mr. Gardiner that he had found out where + your sister and Mr. Wickham were, and that he had seen and talked + with them both; Wickham repeatedly, Lydia once. From what I can + collect, he left Derbyshire only one day after ourselves, and + came to town with the resolution of hunting for them. The motive + professed was his conviction of its being owing to himself that + Wickham’s worthlessness had not been so well known as to make it + impossible for any young woman of character to love or confide in + him. He generously imputed the whole to his mistaken pride, and + confessed that he had before thought it beneath him to lay his + private actions open to the world. His character was to speak for + itself. He called it, therefore, his duty to step forward, and + endeavour to remedy an evil which had been brought on by himself. + If he _had another_ motive, I am sure it would never disgrace + him. He had been some days in town, before he was able to + discover them; but he had something to direct his search, which + was more than _we_ had; and the consciousness of this was another + reason for his resolving to follow us. + + “There is a lady, it seems, a Mrs. Younge, who was some time ago + governess to Miss Darcy, and was dismissed from her charge on + some cause of disapprobation, though he did not say what. She + then took a large house in Edward-street, and has since + maintained herself by letting lodgings. This Mrs. Younge was, he + knew, intimately acquainted with Wickham; and he went to her for + intelligence of him as soon as he got to town. But it was two or + three days before he could get from her what he wanted. She would + not betray her trust, I suppose, without bribery and corruption, + for she really did know where her friend was to be found. Wickham + indeed had gone to her on their first arrival in London, and had + she been able to receive them into her house, they would have + taken up their abode with her. At length, however, our kind + friend procured the wished-for direction. They were in —— street. + He saw Wickham, and afterwards insisted on seeing Lydia. His + first object with her, he acknowledged, had been to persuade her + to quit her present disgraceful situation, and return to her + friends as soon as they could be prevailed on to receive her, + offering his assistance, as far as it would go. But he found + Lydia absolutely resolved on remaining where she was. She cared + for none of her friends; she wanted no help of his; she would not + hear of leaving Wickham. She was sure they should be married some + time or other, and it did not much signify when. Since such were + her feelings, it only remained, he thought, to secure and + expedite a marriage, which, in his very first conversation with + Wickham, he easily learnt had never been _his_ design. He + confessed himself obliged to leave the regiment, on account of + some debts of honour, which were very pressing; and scrupled not + to lay all the ill-consequences of Lydia’s flight on her own + folly alone. He meant to resign his commission immediately; and + as to his future situation, he could conjecture very little about + it. He must go somewhere, but he did not know where, and he knew + he should have nothing to live on. + + “Mr. Darcy asked him why he had not married your sister at once. + Though Mr. Bennet was not imagined to be very rich, he would have + been able to do something for him, and his situation must have + been benefited by marriage. But he found, in reply to this + question, that Wickham still cherished the hope of more + effectually making his fortune by marriage in some other country. + Under such circumstances, however, he was not likely to be proof + against the temptation of immediate relief. + + “They met several times, for there was much to be discussed. + Wickham of course wanted more than he could get; but at length + was reduced to be reasonable. + + “Everything being settled between _them_, Mr. Darcy’s next step + was to make your uncle acquainted with it, and he first called in + Gracechurch street the evening before I came home. But Mr. + Gardiner could not be seen, and Mr. Darcy found, on further + inquiry, that your father was still with him, but would quit town + the next morning. He did not judge your father to be a person + whom he could so properly consult as your uncle, and therefore + readily postponed seeing him till after the departure of the + former. He did not leave his name, and till the next day it was + only known that a gentleman had called on business. + + “On Saturday he came again. Your father was gone, your uncle at + home, and, as I said before, they had a great deal of talk + together. + + “They met again on Sunday, and then _I_ saw him too. It was not + all settled before Monday: as soon as it was, the express was + sent off to Longbourn. But our visitor was very obstinate. I + fancy, Lizzy, that obstinacy is the real defect of his character, + after all. He has been accused of many faults at different times, + but _this_ is the true one. Nothing was to be done that he did + not do himself; though I am sure (and I do not speak it to be + thanked, therefore say nothing about it), your uncle would most + readily have settled the whole. + + “They battled it together for a long time, which was more than + either the gentleman or lady concerned in it deserved. But at + last your uncle was forced to yield, and instead of being allowed + to be of use to his niece, was forced to put up with only having + the probable credit of it, which went sorely against the grain; + and I really believe your letter this morning gave him great + pleasure, because it required an explanation that would rob him + of his borrowed feathers, and give the praise where it was due. + But, Lizzy, this must go no farther than yourself, or Jane at + most. + + “You know pretty well, I suppose, what has been done for the + young people. His debts are to be paid, amounting, I believe, to + considerably more than a thousand pounds, another thousand in + addition to her own settled upon _her_, and his commission + purchased. The reason why all this was to be done by him alone, + was such as I have given above. It was owing to him, to his + reserve and want of proper consideration, that Wickham’s + character had been so misunderstood, and consequently that he had + been received and noticed as he was. Perhaps there was some truth + in _this_; though I doubt whether _his_ reserve, or _anybody’s_ + reserve, can be answerable for the event. But in spite of all + this fine talking, my dear Lizzy, you may rest perfectly assured + that your uncle would never have yielded, if we had not given him + credit for _another interest_ in the affair. + + “When all this was resolved on, he returned again to his friends, + who were still staying at Pemberley; but it was agreed that he + should be in London once more when the wedding took place, and + all money matters were then to receive the last finish. + + “I believe I have now told you every thing. It is a relation + which you tell me is to give you great surprise; I hope at least + it will not afford you any displeasure. Lydia came to us; and + Wickham had constant admission to the house. _He_ was exactly + what he had been, when I knew him in Hertfordshire; but I would + not tell you how little I was satisfied with _her_ behaviour + while she staid with us, if I had not perceived, by Jane’s letter + last Wednesday, that her conduct on coming home was exactly of a + piece with it, and therefore what I now tell you can give you no + fresh pain. I talked to her repeatedly in the most serious + manner, representing to her all the wickedness of what she had + done, and all the unhappiness she had brought on her family. If + she heard me, it was by good luck, for I am sure she did not + listen. I was sometimes quite provoked, but then I recollected my + dear Elizabeth and Jane, and for their sakes had patience with + her. + + “Mr. Darcy was punctual in his return, and as Lydia informed you, + attended the wedding. He dined with us the next day, and was to + leave town again on Wednesday or Thursday. Will you be very angry + with me, my dear Lizzy, if I take this opportunity of saying + (what I was never bold enough to say before) how much I like him. + His behaviour to us has, in every respect, been as pleasing as + when we were in Derbyshire. His understanding and opinions all + please me; he wants nothing but a little more liveliness, and + _that_, if he marry _prudently_, his wife may teach him. I + thought him very sly;—he hardly ever mentioned your name. But + slyness seems the fashion. + + “Pray forgive me if I have been very presuming, or at least do + not punish me so far as to exclude me from P. I shall never be + quite happy till I have been all round the park. A low phaeton, + with a nice little pair of ponies, would be the very thing. + + “But I must write no more. The children have been wanting me this + half hour. + + “Yours, very sincerely, + “M. GARDINER.” + + The contents of this letter threw Elizabeth into a flutter of + spirits, in which it was difficult to determine whether pleasure + or pain bore the greatest share. The vague and unsettled + suspicions which uncertainty had produced of what Mr. Darcy might + have been doing to forward her sister’s match, which she had + feared to encourage as an exertion of goodness too great to be + probable, and at the same time dreaded to be just, from the pain + of obligation, were proved beyond their greatest extent to be + true! He had followed them purposely to town, he had taken on + himself all the trouble and mortification attendant on such a + research; in which supplication had been necessary to a woman + whom he must abominate and despise, and where he was reduced to + meet, frequently meet, reason with, persuade, and finally bribe, + the man whom he always most wished to avoid, and whose very name + it was punishment to him to pronounce. He had done all this for a + girl whom he could neither regard nor esteem. Her heart did + whisper that he had done it for her. But it was a hope shortly + checked by other considerations, and she soon felt that even her + vanity was insufficient, when required to depend on his affection + for her—for a woman who had already refused him—as able to + overcome a sentiment so natural as abhorrence against + relationship with Wickham. Brother-in-law of Wickham! Every kind + of pride must revolt from the connection. He had, to be sure, + done much. She was ashamed to think how much. But he had given a + reason for his interference, which asked no extraordinary stretch + of belief. It was reasonable that he should feel he had been + wrong; he had liberality, and he had the means of exercising it; + and though she would not place herself as his principal + inducement, she could, perhaps, believe that remaining partiality + for her might assist his endeavours in a cause where her peace of + mind must be materially concerned. It was painful, exceedingly + painful, to know that they were under obligations to a person who + could never receive a return. They owed the restoration of Lydia, + her character, every thing, to him. Oh! how heartily did she + grieve over every ungracious sensation she had ever encouraged, + every saucy speech she had ever directed towards him. For herself + she was humbled; but she was proud of him. Proud that in a cause + of compassion and honour, he had been able to get the better of + himself. She read over her aunt’s commendation of him again and + again. It was hardly enough; but it pleased her. She was even + sensible of some pleasure, though mixed with regret, on finding + how steadfastly both she and her uncle had been persuaded that + affection and confidence subsisted between Mr. Darcy and herself. + + She was roused from her seat, and her reflections, by some one’s + approach; and before she could strike into another path, she was + overtaken by Wickham. + + “I am afraid I interrupt your solitary ramble, my dear sister?” + said he, as he joined her. + + “You certainly do,” she replied with a smile; “but it does not + follow that the interruption must be unwelcome.” + + “I should be sorry indeed, if it were. _We_ were always good + friends; and now we are better.” + + “True. Are the others coming out?” + + “I do not know. Mrs. Bennet and Lydia are going in the carriage + to Meryton. And so, my dear sister, I find, from our uncle and + aunt, that you have actually seen Pemberley.” + + She replied in the affirmative. + + “I almost envy you the pleasure, and yet I believe it would be + too much for me, or else I could take it in my way to Newcastle. + And you saw the old housekeeper, I suppose? Poor Reynolds, she + was always very fond of me. But of course she did not mention my + name to you.” + + “Yes, she did.” + + “And what did she say?” + + “That you were gone into the army, and she was afraid had—not + turned out well. At such a distance as _that_, you know, things + are strangely misrepresented.” + + “Certainly,” he replied, biting his lips. Elizabeth hoped she had + silenced him; but he soon afterwards said: + + “I was surprised to see Darcy in town last month. We passed each + other several times. I wonder what he can be doing there.” + + “Perhaps preparing for his marriage with Miss de Bourgh,” said + Elizabeth. “It must be something particular, to take him there at + this time of year.” + + “Undoubtedly. Did you see him while you were at Lambton? I + thought I understood from the Gardiners that you had.” + + “Yes; he introduced us to his sister.” + + “And do you like her?” + + “Very much.” + + “I have heard, indeed, that she is uncommonly improved within + this year or two. When I last saw her, she was not very + promising. I am very glad you liked her. I hope she will turn out + well.” + + “I dare say she will; she has got over the most trying age.” + + “Did you go by the village of Kympton?” + + “I do not recollect that we did.” + + “I mention it, because it is the living which I ought to have + had. A most delightful place!—Excellent Parsonage House! It would + have suited me in every respect.” + + “How should you have liked making sermons?” + + “Exceedingly well. I should have considered it as part of my + duty, and the exertion would soon have been nothing. One ought + not to repine;—but, to be sure, it would have been such a thing + for me! The quiet, the retirement of such a life would have + answered all my ideas of happiness! But it was not to be. Did you + ever hear Darcy mention the circumstance, when you were in Kent?” + + “I _have_ heard from authority, which I thought _as good_, that + it was left you conditionally only, and at the will of the + present patron.” + + “You have. Yes, there was something in _that_; I told you so from + the first, you may remember.” + + “I _did_ hear, too, that there was a time, when sermon-making was + not so palatable to you as it seems to be at present; that you + actually declared your resolution of never taking orders, and + that the business had been compromised accordingly.” + + “You did! and it was not wholly without foundation. You may + remember what I told you on that point, when first we talked of + it.” + + They were now almost at the door of the house, for she had walked + fast to get rid of him; and unwilling, for her sister’s sake, to + provoke him, she only said in reply, with a good-humoured smile: + + “Come, Mr. Wickham, we are brother and sister, you know. Do not + let us quarrel about the past. In future, I hope we shall be + always of one mind.” + + She held out her hand; he kissed it with affectionate gallantry, + though he hardly knew how to look, and they entered the house. + + + + + Chapter 53 + + Mr. Wickham was so perfectly satisfied with this conversation + that he never again distressed himself, or provoked his dear + sister Elizabeth, by introducing the subject of it; and she was + pleased to find that she had said enough to keep him quiet. + + The day of his and Lydia’s departure soon came, and Mrs. Bennet + was forced to submit to a separation, which, as her husband by no + means entered into her scheme of their all going to Newcastle, + was likely to continue at least a twelvemonth. + + “Oh! my dear Lydia,” she cried, “when shall we meet again?” + + “Oh, lord! I don’t know. Not these two or three years, perhaps.” + + “Write to me very often, my dear.” + + “As often as I can. But you know married women have never much + time for writing. My sisters may write to _me_. They will have + nothing else to do.” + + Mr. Wickham’s adieus were much more affectionate than his wife’s. + He smiled, looked handsome, and said many pretty things. + + “He is as fine a fellow,” said Mr. Bennet, as soon as they were + out of the house, “as ever I saw. He simpers, and smirks, and + makes love to us all. I am prodigiously proud of him. I defy even + Sir William Lucas himself to produce a more valuable son-in-law.” + + The loss of her daughter made Mrs. Bennet very dull for several + days. + + “I often think,” said she, “that there is nothing so bad as + parting with one’s friends. One seems so forlorn without them.” + + “This is the consequence, you see, Madam, of marrying a + daughter,” said Elizabeth. “It must make you better satisfied + that your other four are single.” + + “It is no such thing. Lydia does not leave me because she is + married, but only because her husband’s regiment happens to be so + far off. If that had been nearer, she would not have gone so + soon.” + + But the spiritless condition which this event threw her into was + shortly relieved, and her mind opened again to the agitation of + hope, by an article of news which then began to be in + circulation. The housekeeper at Netherfield had received orders + to prepare for the arrival of her master, who was coming down in + a day or two, to shoot there for several weeks. Mrs. Bennet was + quite in the fidgets. She looked at Jane, and smiled and shook + her head by turns. + + “Well, well, and so Mr. Bingley is coming down, sister,” (for + Mrs. Phillips first brought her the news). “Well, so much the + better. Not that I care about it, though. He is nothing to us, + you know, and I am sure I never want to see him again. But, + however, he is very welcome to come to Netherfield, if he likes + it. And who knows what _may_ happen? But that is nothing to us. + You know, sister, we agreed long ago never to mention a word + about it. And so, is it quite certain he is coming?” + + “You may depend on it,” replied the other, “for Mrs. Nicholls was + in Meryton last night; I saw her passing by, and went out myself + on purpose to know the truth of it; and she told me that it was + certain true. He comes down on Thursday at the latest, very + likely on Wednesday. She was going to the butcher’s, she told me, + on purpose to order in some meat on Wednesday, and she has got + three couple of ducks just fit to be killed.” + + Miss Bennet had not been able to hear of his coming without + changing colour. It was many months since she had mentioned his + name to Elizabeth; but now, as soon as they were alone together, + she said: + + “I saw you look at me to-day, Lizzy, when my aunt told us of the + present report; and I know I appeared distressed. But don’t + imagine it was from any silly cause. I was only confused for the + moment, because I felt that I _should_ be looked at. I do assure + you that the news does not affect me either with pleasure or + pain. I am glad of one thing, that he comes alone; because we + shall see the less of him. Not that I am afraid of _myself_, but + I dread other people’s remarks.” + + Elizabeth did not know what to make of it. Had she not seen him + in Derbyshire, she might have supposed him capable of coming + there with no other view than what was acknowledged; but she + still thought him partial to Jane, and she wavered as to the + greater probability of his coming there _with_ his friend’s + permission, or being bold enough to come without it. + + “Yet it is hard,” she sometimes thought, “that this poor man + cannot come to a house which he has legally hired, without + raising all this speculation! I _will_ leave him to himself.” + + In spite of what her sister declared, and really believed to be + her feelings in the expectation of his arrival, Elizabeth could + easily perceive that her spirits were affected by it. They were + more disturbed, more unequal, than she had often seen them. + + The subject which had been so warmly canvassed between their + parents, about a twelvemonth ago, was now brought forward again. + + “As soon as ever Mr. Bingley comes, my dear,” said Mrs. Bennet, + “you will wait on him of course.” + + “No, no. You forced me into visiting him last year, and promised, + if I went to see him, he should marry one of my daughters. But it + ended in nothing, and I will not be sent on a fool’s errand + again.” + + His wife represented to him how absolutely necessary such an + attention would be from all the neighbouring gentlemen, on his + returning to Netherfield. + + “’Tis an _etiquette_ I despise,” said he. “If he wants our + society, let him seek it. He knows where we live. I will not + spend _my_ hours in running after my neighbours every time they + go away and come back again.” + + “Well, all I know is, that it will be abominably rude if you do + not wait on him. But, however, that shan’t prevent my asking him + to dine here, I am determined. We must have Mrs. Long and the + Gouldings soon. That will make thirteen with ourselves, so there + will be just room at table for him.” + + Consoled by this resolution, she was the better able to bear her + husband’s incivility; though it was very mortifying to know that + her neighbours might all see Mr. Bingley, in consequence of it, + before _they_ did. As the day of his arrival drew near,— + + “I begin to be sorry that he comes at all,” said Jane to her + sister. “It would be nothing; I could see him with perfect + indifference, but I can hardly bear to hear it thus perpetually + talked of. My mother means well; but she does not know, no one + can know, how much I suffer from what she says. Happy shall I be, + when his stay at Netherfield is over!” + + “I wish I could say anything to comfort you,” replied Elizabeth; + “but it is wholly out of my power. You must feel it; and the + usual satisfaction of preaching patience to a sufferer is denied + me, because you have always so much.” + + Mr. Bingley arrived. Mrs. Bennet, through the assistance of + servants, contrived to have the earliest tidings of it, that the + period of anxiety and fretfulness on her side might be as long as + it could. She counted the days that must intervene before their + invitation could be sent; hopeless of seeing him before. But on + the third morning after his arrival in Hertfordshire, she saw + him, from her dressing-room window, enter the paddock and ride + towards the house. + + Her daughters were eagerly called to partake of her joy. Jane + resolutely kept her place at the table; but Elizabeth, to satisfy + her mother, went to the window—she looked,—she saw Mr. Darcy with + him, and sat down again by her sister. + + “There is a gentleman with him, mamma,” said Kitty; “who can it + be?” + + “Some acquaintance or other, my dear, I suppose; I am sure I do + not know.” + + “La!” replied Kitty, “it looks just like that man that used to be + with him before. Mr. what’s-his-name. That tall, proud man.” + + “Good gracious! Mr. Darcy!—and so it does, I vow. Well, any + friend of Mr. Bingley’s will always be welcome here, to be sure; + but else I must say that I hate the very sight of him.” + + Jane looked at Elizabeth with surprise and concern. She knew but + little of their meeting in Derbyshire, and therefore felt for the + awkwardness which must attend her sister, in seeing him almost + for the first time after receiving his explanatory letter. Both + sisters were uncomfortable enough. Each felt for the other, and + of course for themselves; and their mother talked on, of her + dislike of Mr. Darcy, and her resolution to be civil to him only + as Mr. Bingley’s friend, without being heard by either of them. + But Elizabeth had sources of uneasiness which could not be + suspected by Jane, to whom she had never yet had courage to shew + Mrs. Gardiner’s letter, or to relate her own change of sentiment + towards him. To Jane, he could be only a man whose proposals she + had refused, and whose merit she had undervalued; but to her own + more extensive information, he was the person to whom the whole + family were indebted for the first of benefits, and whom she + regarded herself with an interest, if not quite so tender, at + least as reasonable and just as what Jane felt for Bingley. Her + astonishment at his coming—at his coming to Netherfield, to + Longbourn, and voluntarily seeking her again, was almost equal to + what she had known on first witnessing his altered behaviour in + Derbyshire. + + The colour which had been driven from her face, returned for half + a minute with an additional glow, and a smile of delight added + lustre to her eyes, as she thought for that space of time that + his affection and wishes must still be unshaken. But she would + not be secure. + + “Let me first see how he behaves,” said she; “it will then be + early enough for expectation.” + + She sat intently at work, striving to be composed, and without + daring to lift up her eyes, till anxious curiosity carried them + to the face of her sister as the servant was approaching the + door. Jane looked a little paler than usual, but more sedate than + Elizabeth had expected. On the gentlemen’s appearing, her colour + increased; yet she received them with tolerable ease, and with a + propriety of behaviour equally free from any symptom of + resentment or any unnecessary complaisance. + + Elizabeth said as little to either as civility would allow, and + sat down again to her work, with an eagerness which it did not + often command. She had ventured only one glance at Darcy. He + looked serious, as usual; and, she thought, more as he had been + used to look in Hertfordshire, than as she had seen him at + Pemberley. But, perhaps he could not in her mother’s presence be + what he was before her uncle and aunt. It was a painful, but not + an improbable, conjecture. + + Bingley, she had likewise seen for an instant, and in that short + period saw him looking both pleased and embarrassed. He was + received by Mrs. Bennet with a degree of civility which made her + two daughters ashamed, especially when contrasted with the cold + and ceremonious politeness of her curtsey and address to his + friend. + + Elizabeth, particularly, who knew that her mother owed to the + latter the preservation of her favourite daughter from + irremediable infamy, was hurt and distressed to a most painful + degree by a distinction so ill applied. + + Darcy, after inquiring of her how Mr. and Mrs. Gardiner did, a + question which she could not answer without confusion, said + scarcely anything. He was not seated by her; perhaps that was the + reason of his silence; but it had not been so in Derbyshire. + There he had talked to her friends, when he could not to herself. + But now several minutes elapsed without bringing the sound of his + voice; and when occasionally, unable to resist the impulse of + curiosity, she raised her eyes to his face, she as often found + him looking at Jane as at herself, and frequently on no object + but the ground. More thoughtfulness and less anxiety to please, + than when they last met, were plainly expressed. She was + disappointed, and angry with herself for being so. + + “Could I expect it to be otherwise!” said she. “Yet why did he + come?” + + She was in no humour for conversation with anyone but himself; + and to him she had hardly courage to speak. + + She inquired after his sister, but could do no more. + + “It is a long time, Mr. Bingley, since you went away,” said Mrs. + Bennet. + + He readily agreed to it. + + “I began to be afraid you would never come back again. People + _did_ say you meant to quit the place entirely at Michaelmas; + but, however, I hope it is not true. A great many changes have + happened in the neighbourhood, since you went away. Miss Lucas is + married and settled. And one of my own daughters. I suppose you + have heard of it; indeed, you must have seen it in the papers. It + was in The Times and The Courier, I know; though it was not put + in as it ought to be. It was only said, ‘Lately, George Wickham, + Esq. to Miss Lydia Bennet,’ without there being a syllable said + of her father, or the place where she lived, or anything. It was + my brother Gardiner’s drawing up too, and I wonder how he came to + make such an awkward business of it. Did you see it?” + + Bingley replied that he did, and made his congratulations. + Elizabeth dared not lift up her eyes. How Mr. Darcy looked, + therefore, she could not tell. + + “It is a delightful thing, to be sure, to have a daughter well + married,” continued her mother, “but at the same time, Mr. + Bingley, it is very hard to have her taken such a way from me. + They are gone down to Newcastle, a place quite northward, it + seems, and there they are to stay I do not know how long. His + regiment is there; for I suppose you have heard of his leaving + the ——shire, and of his being gone into the regulars. Thank + Heaven! he has _some_ friends, though perhaps not so many as he + deserves.” + + Elizabeth, who knew this to be levelled at Mr. Darcy, was in such + misery of shame, that she could hardly keep her seat. It drew + from her, however, the exertion of speaking, which nothing else + had so effectually done before; and she asked Bingley whether he + meant to make any stay in the country at present. A few weeks, he + believed. + + “When you have killed all your own birds, Mr. Bingley,” said her + mother, “I beg you will come here, and shoot as many as you + please on Mr. Bennet’s manor. I am sure he will be vastly happy + to oblige you, and will save all the best of the covies for you.” + + Elizabeth’s misery increased, at such unnecessary, such officious + attention! Were the same fair prospect to arise at present as had + flattered them a year ago, every thing, she was persuaded, would + be hastening to the same vexatious conclusion. At that instant, + she felt that years of happiness could not make Jane or herself + amends for moments of such painful confusion. + + “The first wish of my heart,” said she to herself, “is never more + to be in company with either of them. Their society can afford no + pleasure that will atone for such wretchedness as this! Let me + never see either one or the other again!” + + Yet the misery, for which years of happiness were to offer no + compensation, received soon afterwards material relief, from + observing how much the beauty of her sister re-kindled the + admiration of her former lover. When first he came in, he had + spoken to her but little; but every five minutes seemed to be + giving her more of his attention. He found her as handsome as she + had been last year; as good natured, and as unaffected, though + not quite so chatty. Jane was anxious that no difference should + be perceived in her at all, and was really persuaded that she + talked as much as ever. But her mind was so busily engaged, that + she did not always know when she was silent. + + When the gentlemen rose to go away, Mrs. Bennet was mindful of + her intended civility, and they were invited and engaged to dine + at Longbourn in a few days time. + + “You are quite a visit in my debt, Mr. Bingley,” she added, “for + when you went to town last winter, you promised to take a family + dinner with us, as soon as you returned. I have not forgot, you + see; and I assure you, I was very much disappointed that you did + not come back and keep your engagement.” + + Bingley looked a little silly at this reflection, and said + something of his concern at having been prevented by business. + They then went away. + + Mrs. Bennet had been strongly inclined to ask them to stay and + dine there that day; but, though she always kept a very good + table, she did not think anything less than two courses could be + good enough for a man on whom she had such anxious designs, or + satisfy the appetite and pride of one who had ten thousand a + year. + + + + + Chapter 54 + + As soon as they were gone, Elizabeth walked out to recover her + spirits; or in other words, to dwell without interruption on + those subjects that must deaden them more. Mr. Darcy’s behaviour + astonished and vexed her. + + “Why, if he came only to be silent, grave, and indifferent,” said + she, “did he come at all?” + + She could settle it in no way that gave her pleasure. + + “He could be still amiable, still pleasing, to my uncle and aunt, + when he was in town; and why not to me? If he fears me, why come + hither? If he no longer cares for me, why silent? Teasing, + teasing, man! I will think no more about him.” + + Her resolution was for a short time involuntarily kept by the + approach of her sister, who joined her with a cheerful look, + which showed her better satisfied with their visitors, than + Elizabeth. + + “Now,” said she, “that this first meeting is over, I feel + perfectly easy. I know my own strength, and I shall never be + embarrassed again by his coming. I am glad he dines here on + Tuesday. It will then be publicly seen that, on both sides, we + meet only as common and indifferent acquaintance.” + + “Yes, very indifferent indeed,” said Elizabeth, laughingly. “Oh, + Jane, take care.” + + “My dear Lizzy, you cannot think me so weak, as to be in danger + now?” + + “I think you are in very great danger of making him as much in + love with you as ever.” + + They did not see the gentlemen again till Tuesday; and Mrs. + Bennet, in the meanwhile, was giving way to all the happy + schemes, which the good humour and common politeness of Bingley, + in half an hour’s visit, had revived. + + On Tuesday there was a large party assembled at Longbourn; and + the two who were most anxiously expected, to the credit of their + punctuality as sportsmen, were in very good time. When they + repaired to the dining-room, Elizabeth eagerly watched to see + whether Bingley would take the place, which, in all their former + parties, had belonged to him, by her sister. Her prudent mother, + occupied by the same ideas, forbore to invite him to sit by + herself. On entering the room, he seemed to hesitate; but Jane + happened to look round, and happened to smile: it was decided. He + placed himself by her. + + Elizabeth, with a triumphant sensation, looked towards his + friend. He bore it with noble indifference, and she would have + imagined that Bingley had received his sanction to be happy, had + she not seen his eyes likewise turned towards Mr. Darcy, with an + expression of half-laughing alarm. + + His behaviour to her sister was such, during dinner time, as + showed an admiration of her, which, though more guarded than + formerly, persuaded Elizabeth, that if left wholly to himself, + Jane’s happiness, and his own, would be speedily secured. Though + she dared not depend upon the consequence, she yet received + pleasure from observing his behaviour. It gave her all the + animation that her spirits could boast; for she was in no + cheerful humour. Mr. Darcy was almost as far from her as the + table could divide them. He was on one side of her mother. She + knew how little such a situation would give pleasure to either, + or make either appear to advantage. She was not near enough to + hear any of their discourse, but she could see how seldom they + spoke to each other, and how formal and cold was their manner + whenever they did. Her mother’s ungraciousness, made the sense of + what they owed him more painful to Elizabeth’s mind; and she + would, at times, have given anything to be privileged to tell him + that his kindness was neither unknown nor unfelt by the whole of + the family. + + She was in hopes that the evening would afford some opportunity + of bringing them together; that the whole of the visit would not + pass away without enabling them to enter into something more of + conversation than the mere ceremonious salutation attending his + entrance. Anxious and uneasy, the period which passed in the + drawing-room, before the gentlemen came, was wearisome and dull + to a degree that almost made her uncivil. She looked forward to + their entrance as the point on which all her chance of pleasure + for the evening must depend. + + “If he does not come to me, _then_,” said she, “I shall give him + up for ever.” + + The gentlemen came; and she thought he looked as if he would have + answered her hopes; but, alas! the ladies had crowded round the + table, where Miss Bennet was making tea, and Elizabeth pouring + out the coffee, in so close a confederacy that there was not a + single vacancy near her which would admit of a chair. And on the + gentlemen’s approaching, one of the girls moved closer to her + than ever, and said, in a whisper: + + “The men shan’t come and part us, I am determined. We want none + of them; do we?” + + Darcy had walked away to another part of the room. She followed + him with her eyes, envied everyone to whom he spoke, had scarcely + patience enough to help anybody to coffee; and then was enraged + against herself for being so silly! + + “A man who has once been refused! How could I ever be foolish + enough to expect a renewal of his love? Is there one among the + sex, who would not protest against such a weakness as a second + proposal to the same woman? There is no indignity so abhorrent to + their feelings!” + + She was a little revived, however, by his bringing back his + coffee cup himself; and she seized the opportunity of saying: + + “Is your sister at Pemberley still?” + + “Yes, she will remain there till Christmas.” + + “And quite alone? Have all her friends left her?” + + “Mrs. Annesley is with her. The others have been gone on to + Scarborough, these three weeks.” + + She could think of nothing more to say; but if he wished to + converse with her, he might have better success. He stood by her, + however, for some minutes, in silence; and, at last, on the young + lady’s whispering to Elizabeth again, he walked away. + + When the tea-things were removed, and the card-tables placed, the + ladies all rose, and Elizabeth was then hoping to be soon joined + by him, when all her views were overthrown by seeing him fall a + victim to her mother’s rapacity for whist players, and in a few + moments after seated with the rest of the party. She now lost + every expectation of pleasure. They were confined for the evening + at different tables, and she had nothing to hope, but that his + eyes were so often turned towards her side of the room, as to + make him play as unsuccessfully as herself. + + Mrs. Bennet had designed to keep the two Netherfield gentlemen to + supper; but their carriage was unluckily ordered before any of + the others, and she had no opportunity of detaining them. + + “Well girls,” said she, as soon as they were left to themselves, + “What say you to the day? I think every thing has passed off + uncommonly well, I assure you. The dinner was as well dressed as + any I ever saw. The venison was roasted to a turn—and everybody + said they never saw so fat a haunch. The soup was fifty times + better than what we had at the Lucases’ last week; and even Mr. + Darcy acknowledged, that the partridges were remarkably well + done; and I suppose he has two or three French cooks at least. + And, my dear Jane, I never saw you look in greater beauty. Mrs. + Long said so too, for I asked her whether you did not. And what + do you think she said besides? ‘Ah! Mrs. Bennet, we shall have + her at Netherfield at last.’ She did indeed. I do think Mrs. Long + is as good a creature as ever lived—and her nieces are very + pretty behaved girls, and not at all handsome: I like them + prodigiously.” + + Mrs. Bennet, in short, was in very great spirits; she had seen + enough of Bingley’s behaviour to Jane, to be convinced that she + would get him at last; and her expectations of advantage to her + family, when in a happy humour, were so far beyond reason, that + she was quite disappointed at not seeing him there again the next + day, to make his proposals. + + “It has been a very agreeable day,” said Miss Bennet to + Elizabeth. “The party seemed so well selected, so suitable one + with the other. I hope we may often meet again.” + + Elizabeth smiled. + + “Lizzy, you must not do so. You must not suspect me. It mortifies + me. I assure you that I have now learnt to enjoy his conversation + as an agreeable and sensible young man, without having a wish + beyond it. I am perfectly satisfied, from what his manners now + are, that he never had any design of engaging my affection. It is + only that he is blessed with greater sweetness of address, and a + stronger desire of generally pleasing, than any other man.” + + “You are very cruel,” said her sister, “you will not let me + smile, and are provoking me to it every moment.” + + “How hard it is in some cases to be believed!” + + “And how impossible in others!” + + “But why should you wish to persuade me that I feel more than I + acknowledge?” + + “That is a question which I hardly know how to answer. We all + love to instruct, though we can teach only what is not worth + knowing. Forgive me; and if you persist in indifference, do not + make _me_ your confidante.” + + + + + Chapter 55 + + A few days after this visit, Mr. Bingley called again, and alone. + His friend had left him that morning for London, but was to + return home in ten days time. He sat with them above an hour, and + was in remarkably good spirits. Mrs. Bennet invited him to dine + with them; but, with many expressions of concern, he confessed + himself engaged elsewhere. + + “Next time you call,” said she, “I hope we shall be more lucky.” + + He should be particularly happy at any time, etc. etc.; and if + she would give him leave, would take an early opportunity of + waiting on them. + + “Can you come to-morrow?” + + Yes, he had no engagement at all for to-morrow; and her + invitation was accepted with alacrity. + + He came, and in such very good time that the ladies were none of + them dressed. In ran Mrs. Bennet to her daughter’s room, in her + dressing gown, and with her hair half finished, crying out: + + “My dear Jane, make haste and hurry down. He is come—Mr. Bingley + is come. He is, indeed. Make haste, make haste. Here, Sarah, come + to Miss Bennet this moment, and help her on with her gown. Never + mind Miss Lizzy’s hair.” + + “We will be down as soon as we can,” said Jane; “but I dare say + Kitty is forwarder than either of us, for she went up stairs half + an hour ago.” + + “Oh! hang Kitty! what has she to do with it? Come be quick, be + quick! Where is your sash, my dear?” + + But when her mother was gone, Jane would not be prevailed on to + go down without one of her sisters. + + The same anxiety to get them by themselves was visible again in + the evening. After tea, Mr. Bennet retired to the library, as was + his custom, and Mary went up stairs to her instrument. Two + obstacles of the five being thus removed, Mrs. Bennet sat looking + and winking at Elizabeth and Catherine for a considerable time, + without making any impression on them. Elizabeth would not + observe her; and when at last Kitty did, she very innocently + said, “What is the matter mamma? What do you keep winking at me + for? What am I to do?” + + “Nothing child, nothing. I did not wink at you.” She then sat + still five minutes longer; but unable to waste such a precious + occasion, she suddenly got up, and saying to Kitty, “Come here, + my love, I want to speak to you,” took her out of the room. Jane + instantly gave a look at Elizabeth which spoke her distress at + such premeditation, and her entreaty that _she_ would not give in + to it. In a few minutes, Mrs. Bennet half-opened the door and + called out: + + “Lizzy, my dear, I want to speak with you.” + + Elizabeth was forced to go. + + “We may as well leave them by themselves you know;” said her + mother, as soon as she was in the hall. “Kitty and I are going up + stairs to sit in my dressing-room.” + + Elizabeth made no attempt to reason with her mother, but remained + quietly in the hall, till she and Kitty were out of sight, then + returned into the drawing-room. + + Mrs. Bennet’s schemes for this day were ineffectual. Bingley was + every thing that was charming, except the professed lover of her + daughter. His ease and cheerfulness rendered him a most agreeable + addition to their evening party; and he bore with the ill-judged + officiousness of the mother, and heard all her silly remarks with + a forbearance and command of countenance particularly grateful to + the daughter. + + He scarcely needed an invitation to stay supper; and before he + went away, an engagement was formed, chiefly through his own and + Mrs. Bennet’s means, for his coming next morning to shoot with + her husband. + + After this day, Jane said no more of her indifference. Not a word + passed between the sisters concerning Bingley; but Elizabeth went + to bed in the happy belief that all must speedily be concluded, + unless Mr. Darcy returned within the stated time. Seriously, + however, she felt tolerably persuaded that all this must have + taken place with that gentleman’s concurrence. + + Bingley was punctual to his appointment; and he and Mr. Bennet + spent the morning together, as had been agreed on. The latter was + much more agreeable than his companion expected. There was + nothing of presumption or folly in Bingley that could provoke his + ridicule, or disgust him into silence; and he was more + communicative, and less eccentric, than the other had ever seen + him. Bingley of course returned with him to dinner; and in the + evening Mrs. Bennet’s invention was again at work to get every + body away from him and her daughter. Elizabeth, who had a letter + to write, went into the breakfast room for that purpose soon + after tea; for as the others were all going to sit down to cards, + she could not be wanted to counteract her mother’s schemes. + + But on returning to the drawing-room, when her letter was + finished, she saw, to her infinite surprise, there was reason to + fear that her mother had been too ingenious for her. On opening + the door, she perceived her sister and Bingley standing together + over the hearth, as if engaged in earnest conversation; and had + this led to no suspicion, the faces of both, as they hastily + turned round and moved away from each other, would have told it + all. _Their_ situation was awkward enough; but _hers_ she thought + was still worse. Not a syllable was uttered by either; and + Elizabeth was on the point of going away again, when Bingley, who + as well as the other had sat down, suddenly rose, and whispering + a few words to her sister, ran out of the room. + + Jane could have no reserves from Elizabeth, where confidence + would give pleasure; and instantly embracing her, acknowledged, + with the liveliest emotion, that she was the happiest creature in + the world. + + “’Tis too much!” she added, “by far too much. I do not deserve + it. Oh! why is not everybody as happy?” + + Elizabeth’s congratulations were given with a sincerity, a + warmth, a delight, which words could but poorly express. Every + sentence of kindness was a fresh source of happiness to Jane. But + she would not allow herself to stay with her sister, or say half + that remained to be said for the present. + + “I must go instantly to my mother;” she cried. “I would not on + any account trifle with her affectionate solicitude; or allow her + to hear it from anyone but myself. He is gone to my father + already. Oh! Lizzy, to know that what I have to relate will give + such pleasure to all my dear family! how shall I bear so much + happiness!” + + She then hastened away to her mother, who had purposely broken up + the card party, and was sitting up stairs with Kitty. + + Elizabeth, who was left by herself, now smiled at the rapidity + and ease with which an affair was finally settled, that had given + them so many previous months of suspense and vexation. + + “And this,” said she, “is the end of all his friend’s anxious + circumspection! of all his sister’s falsehood and contrivance! + the happiest, wisest, most reasonable end!” + + In a few minutes she was joined by Bingley, whose conference with + her father had been short and to the purpose. + + “Where is your sister?” said he hastily, as he opened the door. + + “With my mother up stairs. She will be down in a moment, I dare + say.” + + He then shut the door, and, coming up to her, claimed the good + wishes and affection of a sister. Elizabeth honestly and heartily + expressed her delight in the prospect of their relationship. They + shook hands with great cordiality; and then, till her sister came + down, she had to listen to all he had to say of his own + happiness, and of Jane’s perfections; and in spite of his being a + lover, Elizabeth really believed all his expectations of felicity + to be rationally founded, because they had for basis the + excellent understanding, and super-excellent disposition of Jane, + and a general similarity of feeling and taste between her and + himself. + + It was an evening of no common delight to them all; the + satisfaction of Miss Bennet’s mind gave a glow of such sweet + animation to her face, as made her look handsomer than ever. + Kitty simpered and smiled, and hoped her turn was coming soon. + Mrs. Bennet could not give her consent or speak her approbation + in terms warm enough to satisfy her feelings, though she talked + to Bingley of nothing else for half an hour; and when Mr. Bennet + joined them at supper, his voice and manner plainly showed how + really happy he was. + + Not a word, however, passed his lips in allusion to it, till + their visitor took his leave for the night; but as soon as he was + gone, he turned to his daughter, and said: + + “Jane, I congratulate you. You will be a very happy woman.” + + Jane went to him instantly, kissed him, and thanked him for his + goodness. + + “You are a good girl;” he replied, “and I have great pleasure in + thinking you will be so happily settled. I have not a doubt of + your doing very well together. Your tempers are by no means + unlike. You are each of you so complying, that nothing will ever + be resolved on; so easy, that every servant will cheat you; and + so generous, that you will always exceed your income.” + + “I hope not so. Imprudence or thoughtlessness in money matters + would be unpardonable in _me_.” + + “Exceed their income! My dear Mr. Bennet,” cried his wife, “what + are you talking of? Why, he has four or five thousand a year, and + very likely more.” Then addressing her daughter, “Oh! my dear, + dear Jane, I am so happy! I am sure I shan’t get a wink of sleep + all night. I knew how it would be. I always said it must be so, + at last. I was sure you could not be so beautiful for nothing! I + remember, as soon as ever I saw him, when he first came into + Hertfordshire last year, I thought how likely it was that you + should come together. Oh! he is the handsomest young man that + ever was seen!” + + Wickham, Lydia, were all forgotten. Jane was beyond competition + her favourite child. At that moment, she cared for no other. Her + younger sisters soon began to make interest with her for objects + of happiness which she might in future be able to dispense. + + Mary petitioned for the use of the library at Netherfield; and + Kitty begged very hard for a few balls there every winter. + + Bingley, from this time, was of course a daily visitor at + Longbourn; coming frequently before breakfast, and always + remaining till after supper; unless when some barbarous + neighbour, who could not be enough detested, had given him an + invitation to dinner which he thought himself obliged to accept. + + Elizabeth had now but little time for conversation with her + sister; for while he was present, Jane had no attention to bestow + on anyone else; but she found herself considerably useful to both + of them in those hours of separation that must sometimes occur. + In the absence of Jane, he always attached himself to Elizabeth, + for the pleasure of talking of her; and when Bingley was gone, + Jane constantly sought the same means of relief. + + “He has made me so happy,” said she, one evening, “by telling me + that he was totally ignorant of my being in town last spring! I + had not believed it possible.” + + “I suspected as much,” replied Elizabeth. “But how did he account + for it?” + + “It must have been his sister’s doing. They were certainly no + friends to his acquaintance with me, which I cannot wonder at, + since he might have chosen so much more advantageously in many + respects. But when they see, as I trust they will, that their + brother is happy with me, they will learn to be contented, and we + shall be on good terms again; though we can never be what we once + were to each other.” + + “That is the most unforgiving speech,” said Elizabeth, “that I + ever heard you utter. Good girl! It would vex me, indeed, to see + you again the dupe of Miss Bingley’s pretended regard.” + + “Would you believe it, Lizzy, that when he went to town last + November, he really loved me, and nothing but a persuasion of + _my_ being indifferent would have prevented his coming down + again!” + + “He made a little mistake to be sure; but it is to the credit of + his modesty.” + + This naturally introduced a panegyric from Jane on his + diffidence, and the little value he put on his own good + qualities. Elizabeth was pleased to find that he had not betrayed + the interference of his friend; for, though Jane had the most + generous and forgiving heart in the world, she knew it was a + circumstance which must prejudice her against him. + + “I am certainly the most fortunate creature that ever existed!” + cried Jane. “Oh! Lizzy, why am I thus singled from my family, and + blessed above them all! If I could but see you as happy! If there + were but such another man for you!” + + “If you were to give me forty such men, I never could be so happy + as you. Till I have your disposition, your goodness, I never can + have your happiness. No, no, let me shift for myself; and, + perhaps, if I have very good luck, I may meet with another Mr. + Collins in time.” + + The situation of affairs in the Longbourn family could not be + long a secret. Mrs. Bennet was privileged to whisper it to Mrs. + Phillips, and she ventured, without any permission, to do the + same by all her neighbours in Meryton. + + The Bennets were speedily pronounced to be the luckiest family in + the world, though only a few weeks before, when Lydia had first + run away, they had been generally proved to be marked out for + misfortune. + + + + + Chapter 56 + + One morning, about a week after Bingley’s engagement with Jane + had been formed, as he and the females of the family were sitting + together in the dining-room, their attention was suddenly drawn + to the window, by the sound of a carriage; and they perceived a + chaise and four driving up the lawn. It was too early in the + morning for visitors, and besides, the equipage did not answer to + that of any of their neighbours. The horses were post; and + neither the carriage, nor the livery of the servant who preceded + it, were familiar to them. As it was certain, however, that + somebody was coming, Bingley instantly prevailed on Miss Bennet + to avoid the confinement of such an intrusion, and walk away with + him into the shrubbery. They both set off, and the conjectures of + the remaining three continued, though with little satisfaction, + till the door was thrown open and their visitor entered. It was + Lady Catherine de Bourgh. + + They were of course all intending to be surprised; but their + astonishment was beyond their expectation; and on the part of + Mrs. Bennet and Kitty, though she was perfectly unknown to them, + even inferior to what Elizabeth felt. + + She entered the room with an air more than usually ungracious, + made no other reply to Elizabeth’s salutation than a slight + inclination of the head, and sat down without saying a word. + Elizabeth had mentioned her name to her mother on her ladyship’s + entrance, though no request of introduction had been made. + + Mrs. Bennet, all amazement, though flattered by having a guest of + such high importance, received her with the utmost politeness. + After sitting for a moment in silence, she said very stiffly to + Elizabeth, + + “I hope you are well, Miss Bennet. That lady, I suppose, is your + mother.” + + Elizabeth replied very concisely that she was. + + “And _that_ I suppose is one of your sisters.” + + “Yes, madam,” said Mrs. Bennet, delighted to speak to Lady + Catherine. “She is my youngest girl but one. My youngest of all + is lately married, and my eldest is somewhere about the grounds, + walking with a young man who, I believe, will soon become a part + of the family.” + + “You have a very small park here,” returned Lady Catherine after + a short silence. + + “It is nothing in comparison of Rosings, my lady, I dare say; but + I assure you it is much larger than Sir William Lucas’s.” + + “This must be a most inconvenient sitting room for the evening, + in summer; the windows are full west.” + + Mrs. Bennet assured her that they never sat there after dinner, + and then added: + + “May I take the liberty of asking your ladyship whether you left + Mr. and Mrs. Collins well.” + + “Yes, very well. I saw them the night before last.” + + Elizabeth now expected that she would produce a letter for her + from Charlotte, as it seemed the only probable motive for her + calling. But no letter appeared, and she was completely puzzled. + + Mrs. Bennet, with great civility, begged her ladyship to take + some refreshment; but Lady Catherine very resolutely, and not + very politely, declined eating anything; and then, rising up, + said to Elizabeth, + + “Miss Bennet, there seemed to be a prettyish kind of a little + wilderness on one side of your lawn. I should be glad to take a + turn in it, if you will favour me with your company.” + + “Go, my dear,” cried her mother, “and show her ladyship about the + different walks. I think she will be pleased with the hermitage.” + + Elizabeth obeyed, and running into her own room for her parasol, + attended her noble guest downstairs. As they passed through the + hall, Lady Catherine opened the doors into the dining-parlour and + drawing-room, and pronouncing them, after a short survey, to be + decent looking rooms, walked on. + + Her carriage remained at the door, and Elizabeth saw that her + waiting-woman was in it. They proceeded in silence along the + gravel walk that led to the copse; Elizabeth was determined to + make no effort for conversation with a woman who was now more + than usually insolent and disagreeable. + + “How could I ever think her like her nephew?” said she, as she + looked in her face. + + As soon as they entered the copse, Lady Catherine began in the + following manner:— + + “You can be at no loss, Miss Bennet, to understand the reason of + my journey hither. Your own heart, your own conscience, must tell + you why I come.” + + Elizabeth looked with unaffected astonishment. + + “Indeed, you are mistaken, Madam. I have not been at all able to + account for the honour of seeing you here.” + + “Miss Bennet,” replied her ladyship, in an angry tone, “you ought + to know, that I am not to be trifled with. But however insincere + _you_ may choose to be, you shall not find _me_ so. My character + has ever been celebrated for its sincerity and frankness, and in + a cause of such moment as this, I shall certainly not depart from + it. A report of a most alarming nature reached me two days ago. I + was told that not only your sister was on the point of being most + advantageously married, but that you, that Miss Elizabeth Bennet, + would, in all likelihood, be soon afterwards united to my nephew, + my own nephew, Mr. Darcy. Though I _know_ it must be a scandalous + falsehood, though I would not injure him so much as to suppose + the truth of it possible, I instantly resolved on setting off for + this place, that I might make my sentiments known to you.” + + “If you believed it impossible to be true,” said Elizabeth, + colouring with astonishment and disdain, “I wonder you took the + trouble of coming so far. What could your ladyship propose by + it?” + + “At once to insist upon having such a report universally + contradicted.” + + “Your coming to Longbourn, to see me and my family,” said + Elizabeth coolly, “will be rather a confirmation of it; if, + indeed, such a report is in existence.” + + “If! Do you then pretend to be ignorant of it? Has it not been + industriously circulated by yourselves? Do you not know that such + a report is spread abroad?” + + “I never heard that it was.” + + “And can you likewise declare, that there is no _foundation_ for + it?” + + “I do not pretend to possess equal frankness with your ladyship. + _You_ may ask questions which _I_ shall not choose to answer.” + + “This is not to be borne. Miss Bennet, I insist on being + satisfied. Has he, has my nephew, made you an offer of marriage?” + + “Your ladyship has declared it to be impossible.” + + “It ought to be so; it must be so, while he retains the use of + his reason. But _your_ arts and allurements may, in a moment of + infatuation, have made him forget what he owes to himself and to + all his family. You may have drawn him in.” + + “If I have, I shall be the last person to confess it.” + + “Miss Bennet, do you know who I am? I have not been accustomed to + such language as this. I am almost the nearest relation he has in + the world, and am entitled to know all his dearest concerns.” + + “But you are not entitled to know _mine;_ nor will such behaviour + as this, ever induce me to be explicit.” + + “Let me be rightly understood. This match, to which you have the + presumption to aspire, can never take place. No, never. Mr. Darcy + is engaged to _my daughter_. Now what have you to say?” + + “Only this; that if he is so, you can have no reason to suppose + he will make an offer to me.” + + Lady Catherine hesitated for a moment, and then replied: + + “The engagement between them is of a peculiar kind. From their + infancy, they have been intended for each other. It was the + favourite wish of _his_ mother, as well as of hers. While in + their cradles, we planned the union: and now, at the moment when + the wishes of both sisters would be accomplished in their + marriage, to be prevented by a young woman of inferior birth, of + no importance in the world, and wholly unallied to the family! Do + you pay no regard to the wishes of his friends? To his tacit + engagement with Miss de Bourgh? Are you lost to every feeling of + propriety and delicacy? Have you not heard me say that from his + earliest hours he was destined for his cousin?” + + “Yes, and I had heard it before. But what is that to me? If there + is no other objection to my marrying your nephew, I shall + certainly not be kept from it by knowing that his mother and aunt + wished him to marry Miss de Bourgh. You both did as much as you + could in planning the marriage. Its completion depended on + others. If Mr. Darcy is neither by honour nor inclination + confined to his cousin, why is not he to make another choice? And + if I am that choice, why may not I accept him?” + + “Because honour, decorum, prudence, nay, interest, forbid it. + Yes, Miss Bennet, interest; for do not expect to be noticed by + his family or friends, if you wilfully act against the + inclinations of all. You will be censured, slighted, and + despised, by everyone connected with him. Your alliance will be a + disgrace; your name will never even be mentioned by any of us.” + + “These are heavy misfortunes,” replied Elizabeth. “But the wife + of Mr. Darcy must have such extraordinary sources of happiness + necessarily attached to her situation, that she could, upon the + whole, have no cause to repine.” + + “Obstinate, headstrong girl! I am ashamed of you! Is this your + gratitude for my attentions to you last spring? Is nothing due to + me on that score? Let us sit down. You are to understand, Miss + Bennet, that I came here with the determined resolution of + carrying my purpose; nor will I be dissuaded from it. I have not + been used to submit to any person’s whims. I have not been in the + habit of brooking disappointment.” + + “_That_ will make your ladyship’s situation at present more + pitiable; but it will have no effect on _me_.” + + “I will not be interrupted. Hear me in silence. My daughter and + my nephew are formed for each other. They are descended, on the + maternal side, from the same noble line; and, on the father’s, + from respectable, honourable, and ancient—though + untitled—families. Their fortune on both sides is splendid. They + are destined for each other by the voice of every member of their + respective houses; and what is to divide them? The upstart + pretensions of a young woman without family, connections, or + fortune. Is this to be endured! But it must not, shall not be. If + you were sensible of your own good, you would not wish to quit + the sphere in which you have been brought up.” + + “In marrying your nephew, I should not consider myself as + quitting that sphere. He is a gentleman; I am a gentleman’s + daughter; so far we are equal.” + + “True. You _are_ a gentleman’s daughter. But who was your mother? + Who are your uncles and aunts? Do not imagine me ignorant of + their condition.” + + “Whatever my connections may be,” said Elizabeth, “if your nephew + does not object to them, they can be nothing to _you_.” + + “Tell me once for all, are you engaged to him?” + + Though Elizabeth would not, for the mere purpose of obliging Lady + Catherine, have answered this question, she could not but say, + after a moment’s deliberation: + + “I am not.” + + Lady Catherine seemed pleased. + + “And will you promise me, never to enter into such an + engagement?” + + “I will make no promise of the kind.” + + “Miss Bennet I am shocked and astonished. I expected to find a + more reasonable young woman. But do not deceive yourself into a + belief that I will ever recede. I shall not go away till you have + given me the assurance I require.” + + “And I certainly _never_ shall give it. I am not to be + intimidated into anything so wholly unreasonable. Your ladyship + wants Mr. Darcy to marry your daughter; but would my giving you + the wished-for promise make _their_ marriage at all more + probable? Supposing him to be attached to me, would _my_ refusing + to accept his hand make him wish to bestow it on his cousin? + Allow me to say, Lady Catherine, that the arguments with which + you have supported this extraordinary application have been as + frivolous as the application was ill-judged. You have widely + mistaken my character, if you think I can be worked on by such + persuasions as these. How far your nephew might approve of your + interference in _his_ affairs, I cannot tell; but you have + certainly no right to concern yourself in mine. I must beg, + therefore, to be importuned no farther on the subject.” + + “Not so hasty, if you please. I have by no means done. To all the + objections I have already urged, I have still another to add. I + am no stranger to the particulars of your youngest sister’s + infamous elopement. I know it all; that the young man’s marrying + her was a patched-up business, at the expence of your father and + uncles. And is _such_ a girl to be my nephew’s sister? Is _her_ + husband, who is the son of his late father’s steward, to be his + brother? Heaven and earth!—of what are you thinking? Are the + shades of Pemberley to be thus polluted?” + + “You can _now_ have nothing further to say,” she resentfully + answered. “You have insulted me in every possible method. I must + beg to return to the house.” + + And she rose as she spoke. Lady Catherine rose also, and they + turned back. Her ladyship was highly incensed. + + “You have no regard, then, for the honour and credit of my + nephew! Unfeeling, selfish girl! Do you not consider that a + connection with you must disgrace him in the eyes of everybody?” + + “Lady Catherine, I have nothing further to say. You know my + sentiments.” + + “You are then resolved to have him?” + + “I have said no such thing. I am only resolved to act in that + manner, which will, in my own opinion, constitute my happiness, + without reference to _you_, or to any person so wholly + unconnected with me.” + + “It is well. You refuse, then, to oblige me. You refuse to obey + the claims of duty, honour, and gratitude. You are determined to + ruin him in the opinion of all his friends, and make him the + contempt of the world.” + + “Neither duty, nor honour, nor gratitude,” replied Elizabeth, + “have any possible claim on me, in the present instance. No + principle of either would be violated by my marriage with Mr. + Darcy. And with regard to the resentment of his family, or the + indignation of the world, if the former _were_ excited by his + marrying me, it would not give me one moment’s concern—and the + world in general would have too much sense to join in the scorn.” + + “And this is your real opinion! This is your final resolve! Very + well. I shall now know how to act. Do not imagine, Miss Bennet, + that your ambition will ever be gratified. I came to try you. I + hoped to find you reasonable; but, depend upon it, I will carry + my point.” + + In this manner Lady Catherine talked on, till they were at the + door of the carriage, when, turning hastily round, she added, “I + take no leave of you, Miss Bennet. I send no compliments to your + mother. You deserve no such attention. I am most seriously + displeased.” + + Elizabeth made no answer; and without attempting to persuade her + ladyship to return into the house, walked quietly into it + herself. She heard the carriage drive away as she proceeded up + stairs. Her mother impatiently met her at the door of the + dressing-room, to ask why Lady Catherine would not come in again + and rest herself. + + “She did not choose it,” said her daughter, “she would go.” + + “She is a very fine-looking woman! and her calling here was + prodigiously civil! for she only came, I suppose, to tell us the + Collinses were well. She is on her road somewhere, I dare say, + and so, passing through Meryton, thought she might as well call + on you. I suppose she had nothing particular to say to you, + Lizzy?” + + Elizabeth was forced to give into a little falsehood here; for to + acknowledge the substance of their conversation was impossible. + + + + + Chapter 57 + + The discomposure of spirits which this extraordinary visit threw + Elizabeth into, could not be easily overcome; nor could she, for + many hours, learn to think of it less than incessantly. Lady + Catherine, it appeared, had actually taken the trouble of this + journey from Rosings, for the sole purpose of breaking off her + supposed engagement with Mr. Darcy. It was a rational scheme, to + be sure! but from what the report of their engagement could + originate, Elizabeth was at a loss to imagine; till she + recollected that _his_ being the intimate friend of Bingley, and + _her_ being the sister of Jane, was enough, at a time when the + expectation of one wedding made everybody eager for another, to + supply the idea. She had not herself forgotten to feel that the + marriage of her sister must bring them more frequently together. + And her neighbours at Lucas Lodge, therefore (for through their + communication with the Collinses, the report, she concluded, had + reached Lady Catherine), had only set _that_ down as almost + certain and immediate, which _she_ had looked forward to as + possible at some future time. + + In revolving Lady Catherine’s expressions, however, she could not + help feeling some uneasiness as to the possible consequence of + her persisting in this interference. From what she had said of + her resolution to prevent their marriage, it occurred to + Elizabeth that she must meditate an application to her nephew; + and how he might take a similar representation of the evils + attached to a connection with her, she dared not pronounce. She + knew not the exact degree of his affection for his aunt, or his + dependence on her judgment, but it was natural to suppose that he + thought much higher of her ladyship than _she_ could do; and it + was certain that, in enumerating the miseries of a marriage with + _one_, whose immediate connections were so unequal to his own, + his aunt would address him on his weakest side. With his notions + of dignity, he would probably feel that the arguments, which to + Elizabeth had appeared weak and ridiculous, contained much good + sense and solid reasoning. + + If he had been wavering before as to what he should do, which had + often seemed likely, the advice and entreaty of so near a + relation might settle every doubt, and determine him at once to + be as happy as dignity unblemished could make him. In that case + he would return no more. Lady Catherine might see him in her way + through town; and his engagement to Bingley of coming again to + Netherfield must give way. + + “If, therefore, an excuse for not keeping his promise should come + to his friend within a few days,” she added, “I shall know how to + understand it. I shall then give over every expectation, every + wish of his constancy. If he is satisfied with only regretting + me, when he might have obtained my affections and hand, I shall + soon cease to regret him at all.” + + The surprise of the rest of the family, on hearing who their + visitor had been, was very great; but they obligingly satisfied + it, with the same kind of supposition which had appeased Mrs. + Bennet’s curiosity; and Elizabeth was spared from much teasing on + the subject. + + The next morning, as she was going downstairs, she was met by her + father, who came out of his library with a letter in his hand. + + “Lizzy,” said he, “I was going to look for you; come into my + room.” + + She followed him thither; and her curiosity to know what he had + to tell her was heightened by the supposition of its being in + some manner connected with the letter he held. It suddenly struck + her that it might be from Lady Catherine; and she anticipated + with dismay all the consequent explanations. + + She followed her father to the fire place, and they both sat + down. He then said, + + “I have received a letter this morning that has astonished me + exceedingly. As it principally concerns yourself, you ought to + know its contents. I did not know before, that I had _two_ + daughters on the brink of matrimony. Let me congratulate you on a + very important conquest.” + + The colour now rushed into Elizabeth’s cheeks in the + instantaneous conviction of its being a letter from the nephew, + instead of the aunt; and she was undetermined whether most to be + pleased that he explained himself at all, or offended that his + letter was not rather addressed to herself; when her father + continued: + + “You look conscious. Young ladies have great penetration in such + matters as these; but I think I may defy even _your_ sagacity, to + discover the name of your admirer. This letter is from Mr. + Collins.” + + “From Mr. Collins! and what can _he_ have to say?” + + “Something very much to the purpose of course. He begins with + congratulations on the approaching nuptials of my eldest + daughter, of which, it seems, he has been told by some of the + good-natured, gossiping Lucases. I shall not sport with your + impatience, by reading what he says on that point. What relates + to yourself, is as follows: ‘Having thus offered you the sincere + congratulations of Mrs. Collins and myself on this happy event, + let me now add a short hint on the subject of another; of which + we have been advertised by the same authority. Your daughter + Elizabeth, it is presumed, will not long bear the name of Bennet, + after her elder sister has resigned it, and the chosen partner of + her fate may be reasonably looked up to as one of the most + illustrious personages in this land.’ + + “Can you possibly guess, Lizzy, who is meant by this? ‘This young + gentleman is blessed, in a peculiar way, with every thing the + heart of mortal can most desire,—splendid property, noble + kindred, and extensive patronage. Yet in spite of all these + temptations, let me warn my cousin Elizabeth, and yourself, of + what evils you may incur by a precipitate closure with this + gentleman’s proposals, which, of course, you will be inclined to + take immediate advantage of.’ + + “Have you any idea, Lizzy, who this gentleman is? But now it + comes out: + + “‘My motive for cautioning you is as follows. We have reason to + imagine that his aunt, Lady Catherine de Bourgh, does not look on + the match with a friendly eye.’ + + “_Mr. Darcy_, you see, is the man! Now, Lizzy, I think I _have_ + surprised you. Could he, or the Lucases, have pitched on any man + within the circle of our acquaintance, whose name would have + given the lie more effectually to what they related? Mr. Darcy, + who never looks at any woman but to see a blemish, and who + probably never looked at _you_ in his life! It is admirable!” + + Elizabeth tried to join in her father’s pleasantry, but could + only force one most reluctant smile. Never had his wit been + directed in a manner so little agreeable to her. + + “Are you not diverted?” + + “Oh! yes. Pray read on.” + + “‘After mentioning the likelihood of this marriage to her + ladyship last night, she immediately, with her usual + condescension, expressed what she felt on the occasion; when it + became apparent, that on the score of some family objections on + the part of my cousin, she would never give her consent to what + she termed so disgraceful a match. I thought it my duty to give + the speediest intelligence of this to my cousin, that she and her + noble admirer may be aware of what they are about, and not run + hastily into a marriage which has not been properly sanctioned.’ + Mr. Collins moreover adds, ‘I am truly rejoiced that my cousin + Lydia’s sad business has been so well hushed up, and am only + concerned that their living together before the marriage took + place should be so generally known. I must not, however, neglect + the duties of my station, or refrain from declaring my amazement + at hearing that you received the young couple into your house as + soon as they were married. It was an encouragement of vice; and + had I been the rector of Longbourn, I should very strenuously + have opposed it. You ought certainly to forgive them, as a + Christian, but never to admit them in your sight, or allow their + names to be mentioned in your hearing.’ _That_ is his notion of + Christian forgiveness! The rest of his letter is only about his + dear Charlotte’s situation, and his expectation of a young + olive-branch. But, Lizzy, you look as if you did not enjoy it. + You are not going to be _missish_, I hope, and pretend to be + affronted at an idle report. For what do we live, but to make + sport for our neighbours, and laugh at them in our turn?” + + “Oh!” cried Elizabeth, “I am excessively diverted. But it is so + strange!” + + “Yes—_that_ is what makes it amusing. Had they fixed on any other + man it would have been nothing; but _his_ perfect indifference, + and _your_ pointed dislike, make it so delightfully absurd! Much + as I abominate writing, I would not give up Mr. Collins’s + correspondence for any consideration. Nay, when I read a letter + of his, I cannot help giving him the preference even over + Wickham, much as I value the impudence and hypocrisy of my + son-in-law. And pray, Lizzy, what said Lady Catherine about this + report? Did she call to refuse her consent?” + + To this question his daughter replied only with a laugh; and as + it had been asked without the least suspicion, she was not + distressed by his repeating it. Elizabeth had never been more at + a loss to make her feelings appear what they were not. It was + necessary to laugh, when she would rather have cried. Her father + had most cruelly mortified her, by what he said of Mr. Darcy’s + indifference, and she could do nothing but wonder at such a want + of penetration, or fear that perhaps, instead of his seeing too + _little_, she might have fancied too _much_. + + + + + Chapter 58 + + Instead of receiving any such letter of excuse from his friend, + as Elizabeth half expected Mr. Bingley to do, he was able to + bring Darcy with him to Longbourn before many days had passed + after Lady Catherine’s visit. The gentlemen arrived early; and, + before Mrs. Bennet had time to tell him of their having seen his + aunt, of which her daughter sat in momentary dread, Bingley, who + wanted to be alone with Jane, proposed their all walking out. It + was agreed to. Mrs. Bennet was not in the habit of walking; Mary + could never spare time; but the remaining five set off together. + Bingley and Jane, however, soon allowed the others to outstrip + them. They lagged behind, while Elizabeth, Kitty, and Darcy were + to entertain each other. Very little was said by either; Kitty + was too much afraid of him to talk; Elizabeth was secretly + forming a desperate resolution; and perhaps he might be doing the + same. + + They walked towards the Lucases, because Kitty wished to call + upon Maria; and as Elizabeth saw no occasion for making it a + general concern, when Kitty left them she went boldly on with him + alone. Now was the moment for her resolution to be executed, and, + while her courage was high, she immediately said: + + “Mr. Darcy, I am a very selfish creature; and, for the sake of + giving relief to my own feelings, care not how much I may be + wounding yours. I can no longer help thanking you for your + unexampled kindness to my poor sister. Ever since I have known + it, I have been most anxious to acknowledge to you how gratefully + I feel it. Were it known to the rest of my family, I should not + have merely my own gratitude to express.” + + “I am sorry, exceedingly sorry,” replied Darcy, in a tone of + surprise and emotion, “that you have ever been informed of what + may, in a mistaken light, have given you uneasiness. I did not + think Mrs. Gardiner was so little to be trusted.” + + “You must not blame my aunt. Lydia’s thoughtlessness first + betrayed to me that you had been concerned in the matter; and, of + course, I could not rest till I knew the particulars. Let me + thank you again and again, in the name of all my family, for that + generous compassion which induced you to take so much trouble, + and bear so many mortifications, for the sake of discovering + them.” + + “If you _will_ thank me,” he replied, “let it be for yourself + alone. That the wish of giving happiness to you might add force + to the other inducements which led me on, I shall not attempt to + deny. But your _family_ owe me nothing. Much as I respect them, I + believe I thought only of _you_.” + + Elizabeth was too much embarrassed to say a word. After a short + pause, her companion added, “You are too generous to trifle with + me. If your feelings are still what they were last April, tell me + so at once. _My_ affections and wishes are unchanged, but one + word from you will silence me on this subject for ever.” + + Elizabeth, feeling all the more than common awkwardness and + anxiety of his situation, now forced herself to speak; and + immediately, though not very fluently, gave him to understand + that her sentiments had undergone so material a change, since the + period to which he alluded, as to make her receive with gratitude + and pleasure his present assurances. The happiness which this + reply produced, was such as he had probably never felt before; + and he expressed himself on the occasion as sensibly and as + warmly as a man violently in love can be supposed to do. Had + Elizabeth been able to encounter his eye, she might have seen how + well the expression of heartfelt delight, diffused over his face, + became him; but, though she could not look, she could listen, and + he told her of feelings, which, in proving of what importance she + was to him, made his affection every moment more valuable. + + They walked on, without knowing in what direction. There was too + much to be thought, and felt, and said, for attention to any + other objects. She soon learnt that they were indebted for their + present good understanding to the efforts of his aunt, who _did_ + call on him in her return through London, and there relate her + journey to Longbourn, its motive, and the substance of her + conversation with Elizabeth; dwelling emphatically on every + expression of the latter which, in her ladyship’s apprehension, + peculiarly denoted her perverseness and assurance; in the belief + that such a relation must assist her endeavours to obtain that + promise from her nephew which _she_ had refused to give. But, + unluckily for her ladyship, its effect had been exactly + contrariwise. + + “It taught me to hope,” said he, “as I had scarcely ever allowed + myself to hope before. I knew enough of your disposition to be + certain that, had you been absolutely, irrevocably decided + against me, you would have acknowledged it to Lady Catherine, + frankly and openly.” + + Elizabeth coloured and laughed as she replied, “Yes, you know + enough of my _frankness_ to believe me capable of _that_. After + abusing you so abominably to your face, I could have no scruple + in abusing you to all your relations.” + + “What did you say of me, that I did not deserve? For, though your + accusations were ill-founded, formed on mistaken premises, my + behaviour to you at the time had merited the severest reproof. It + was unpardonable. I cannot think of it without abhorrence.” + + “We will not quarrel for the greater share of blame annexed to + that evening,” said Elizabeth. “The conduct of neither, if + strictly examined, will be irreproachable; but since then, we + have both, I hope, improved in civility.” + + “I cannot be so easily reconciled to myself. The recollection of + what I then said, of my conduct, my manners, my expressions + during the whole of it, is now, and has been many months, + inexpressibly painful to me. Your reproof, so well applied, I + shall never forget: ‘had you behaved in a more gentlemanlike + manner.’ Those were your words. You know not, you can scarcely + conceive, how they have tortured me;—though it was some time, I + confess, before I was reasonable enough to allow their justice.” + + “I was certainly very far from expecting them to make so strong + an impression. I had not the smallest idea of their being ever + felt in such a way.” + + “I can easily believe it. You thought me then devoid of every + proper feeling, I am sure you did. The turn of your countenance I + shall never forget, as you said that I could not have addressed + you in any possible way that would induce you to accept me.” + + “Oh! do not repeat what I then said. These recollections will not + do at all. I assure you that I have long been most heartily + ashamed of it.” + + Darcy mentioned his letter. “Did it,” said he, “did it soon make + you think better of me? Did you, on reading it, give any credit + to its contents?” + + She explained what its effect on her had been, and how gradually + all her former prejudices had been removed. + + “I knew,” said he, “that what I wrote must give you pain, but it + was necessary. I hope you have destroyed the letter. There was + one part especially, the opening of it, which I should dread your + having the power of reading again. I can remember some + expressions which might justly make you hate me.” + + “The letter shall certainly be burnt, if you believe it essential + to the preservation of my regard; but, though we have both reason + to think my opinions not entirely unalterable, they are not, I + hope, quite so easily changed as that implies.” + + “When I wrote that letter,” replied Darcy, “I believed myself + perfectly calm and cool, but I am since convinced that it was + written in a dreadful bitterness of spirit.” + + “The letter, perhaps, began in bitterness, but it did not end so. + The adieu is charity itself. But think no more of the letter. The + feelings of the person who wrote, and the person who received it, + are now so widely different from what they were then, that every + unpleasant circumstance attending it ought to be forgotten. You + must learn some of my philosophy. Think only of the past as its + remembrance gives you pleasure.” + + “I cannot give you credit for any philosophy of the kind. _Your_ + retrospections must be so totally void of reproach, that the + contentment arising from them is not of philosophy, but, what is + much better, of innocence. But with _me_, it is not so. Painful + recollections will intrude which cannot, which ought not, to be + repelled. I have been a selfish being all my life, in practice, + though not in principle. As a child I was taught what was + _right_, but I was not taught to correct my temper. I was given + good principles, but left to follow them in pride and conceit. + Unfortunately an only son (for many years an only _child_), I was + spoilt by my parents, who, though good themselves (my father, + particularly, all that was benevolent and amiable), allowed, + encouraged, almost taught me to be selfish and overbearing; to + care for none beyond my own family circle; to think meanly of all + the rest of the world; to _wish_ at least to think meanly of + their sense and worth compared with my own. Such I was, from + eight to eight and twenty; and such I might still have been but + for you, dearest, loveliest Elizabeth! What do I not owe you! You + taught me a lesson, hard indeed at first, but most advantageous. + By you, I was properly humbled. I came to you without a doubt of + my reception. You showed me how insufficient were all my + pretensions to please a woman worthy of being pleased.” + + “Had you then persuaded yourself that I should?” + + “Indeed I had. What will you think of my vanity? I believed you + to be wishing, expecting my addresses.” + + “My manners must have been in fault, but not intentionally, I + assure you. I never meant to deceive you, but my spirits might + often lead me wrong. How you must have hated me after _that_ + evening?” + + “Hate you! I was angry perhaps at first, but my anger soon began + to take a proper direction.” + + “I am almost afraid of asking what you thought of me, when we met + at Pemberley. You blamed me for coming?” + + “No indeed; I felt nothing but surprise.” + + “Your surprise could not be greater than _mine_ in being noticed + by you. My conscience told me that I deserved no extraordinary + politeness, and I confess that I did not expect to receive _more_ + than my due.” + + “My object _then_,” replied Darcy, “was to show you, by every + civility in my power, that I was not so mean as to resent the + past; and I hoped to obtain your forgiveness, to lessen your ill + opinion, by letting you see that your reproofs had been attended + to. How soon any other wishes introduced themselves I can hardly + tell, but I believe in about half an hour after I had seen you.” + + He then told her of Georgiana’s delight in her acquaintance, and + of her disappointment at its sudden interruption; which naturally + leading to the cause of that interruption, she soon learnt that + his resolution of following her from Derbyshire in quest of her + sister had been formed before he quitted the inn, and that his + gravity and thoughtfulness there had arisen from no other + struggles than what such a purpose must comprehend. + + She expressed her gratitude again, but it was too painful a + subject to each, to be dwelt on farther. + + After walking several miles in a leisurely manner, and too busy + to know anything about it, they found at last, on examining their + watches, that it was time to be at home. + + “What could become of Mr. Bingley and Jane!” was a wonder which + introduced the discussion of _their_ affairs. Darcy was delighted + with their engagement; his friend had given him the earliest + information of it. + + “I must ask whether you were surprised?” said Elizabeth. + + “Not at all. When I went away, I felt that it would soon happen.” + + “That is to say, you had given your permission. I guessed as + much.” And though he exclaimed at the term, she found that it had + been pretty much the case. + + “On the evening before my going to London,” said he, “I made a + confession to him, which I believe I ought to have made long ago. + I told him of all that had occurred to make my former + interference in his affairs absurd and impertinent. His surprise + was great. He had never had the slightest suspicion. I told him, + moreover, that I believed myself mistaken in supposing, as I had + done, that your sister was indifferent to him; and as I could + easily perceive that his attachment to her was unabated, I felt + no doubt of their happiness together.” + + Elizabeth could not help smiling at his easy manner of directing + his friend. + + “Did you speak from your own observation,” said she, “when you + told him that my sister loved him, or merely from my information + last spring?” + + “From the former. I had narrowly observed her during the two + visits which I had lately made here; and I was convinced of her + affection.” + + “And your assurance of it, I suppose, carried immediate + conviction to him.” + + “It did. Bingley is most unaffectedly modest. His diffidence had + prevented his depending on his own judgment in so anxious a case, + but his reliance on mine made every thing easy. I was obliged to + confess one thing, which for a time, and not unjustly, offended + him. I could not allow myself to conceal that your sister had + been in town three months last winter, that I had known it, and + purposely kept it from him. He was angry. But his anger, I am + persuaded, lasted no longer than he remained in any doubt of your + sister’s sentiments. He has heartily forgiven me now.” + + Elizabeth longed to observe that Mr. Bingley had been a most + delightful friend; so easily guided that his worth was + invaluable; but she checked herself. She remembered that he had + yet to learn to be laughed at, and it was rather too early to + begin. In anticipating the happiness of Bingley, which of course + was to be inferior only to his own, he continued the conversation + till they reached the house. In the hall they parted. + + + + + Chapter 59 + + “My dear Lizzy, where can you have been walking to?” was a + question which Elizabeth received from Jane as soon as she + entered their room, and from all the others when they sat down to + table. She had only to say in reply, that they had wandered + about, till she was beyond her own knowledge. She coloured as she + spoke; but neither that, nor anything else, awakened a suspicion + of the truth. + + The evening passed quietly, unmarked by anything extraordinary. + The acknowledged lovers talked and laughed, the unacknowledged + were silent. Darcy was not of a disposition in which happiness + overflows in mirth; and Elizabeth, agitated and confused, rather + _knew_ that she was happy than _felt_ herself to be so; for, + besides the immediate embarrassment, there were other evils + before her. She anticipated what would be felt in the family when + her situation became known; she was aware that no one liked him + but Jane; and even feared that with the others it was a _dislike_ + which not all his fortune and consequence might do away. + + At night she opened her heart to Jane. Though suspicion was very + far from Miss Bennet’s general habits, she was absolutely + incredulous here. + + “You are joking, Lizzy. This cannot be!—engaged to Mr. Darcy! No, + no, you shall not deceive me. I know it to be impossible.” + + “This is a wretched beginning indeed! My sole dependence was on + you; and I am sure nobody else will believe me, if you do not. + Yet, indeed, I am in earnest. I speak nothing but the truth. He + still loves me, and we are engaged.” + + Jane looked at her doubtingly. “Oh, Lizzy! it cannot be. I know + how much you dislike him.” + + “You know nothing of the matter. _That_ is all to be forgot. + Perhaps I did not always love him so well as I do now. But in + such cases as these, a good memory is unpardonable. This is the + last time I shall ever remember it myself.” + + Miss Bennet still looked all amazement. Elizabeth again, and more + seriously assured her of its truth. + + “Good Heaven! can it be really so! Yet now I must believe you,” + cried Jane. “My dear, dear Lizzy, I would—I do congratulate + you—but are you certain? forgive the question—are you quite + certain that you can be happy with him?” + + “There can be no doubt of that. It is settled between us already, + that we are to be the happiest couple in the world. But are you + pleased, Jane? Shall you like to have such a brother?” + + “Very, very much. Nothing could give either Bingley or myself + more delight. But we considered it, we talked of it as + impossible. And do you really love him quite well enough? Oh, + Lizzy! do anything rather than marry without affection. Are you + quite sure that you feel what you ought to do?” + + “Oh, yes! You will only think I feel _more_ than I ought to do, + when I tell you all.” + + “What do you mean?” + + “Why, I must confess that I love him better than I do Bingley. I + am afraid you will be angry.” + + “My dearest sister, now _be_ serious. I want to talk very + seriously. Let me know every thing that I am to know, without + delay. Will you tell me how long you have loved him?” + + “It has been coming on so gradually, that I hardly know when it + began. But I believe I must date it from my first seeing his + beautiful grounds at Pemberley.” + + Another entreaty that she would be serious, however, produced the + desired effect; and she soon satisfied Jane by her solemn + assurances of attachment. When convinced on that article, Miss + Bennet had nothing further to wish. + + “Now I am quite happy,” said she, “for you will be as happy as + myself. I always had a value for him. Were it for nothing but his + love of you, I must always have esteemed him; but now, as + Bingley’s friend and your husband, there can be only Bingley and + yourself more dear to me. But Lizzy, you have been very sly, very + reserved with me. How little did you tell me of what passed at + Pemberley and Lambton! I owe all that I know of it to another, + not to you.” + + Elizabeth told her the motives of her secrecy. She had been + unwilling to mention Bingley; and the unsettled state of her own + feelings had made her equally avoid the name of his friend. But + now she would no longer conceal from her his share in Lydia’s + marriage. All was acknowledged, and half the night spent in + conversation. + + “Good gracious!” cried Mrs. Bennet, as she stood at a window the + next morning, “if that disagreeable Mr. Darcy is not coming here + again with our dear Bingley! What can he mean by being so + tiresome as to be always coming here? I had no notion but he + would go a-shooting, or something or other, and not disturb us + with his company. What shall we do with him? Lizzy, you must walk + out with him again, that he may not be in Bingley’s way.” + + Elizabeth could hardly help laughing at so convenient a proposal; + yet was really vexed that her mother should be always giving him + such an epithet. + + As soon as they entered, Bingley looked at her so expressively, + and shook hands with such warmth, as left no doubt of his good + information; and he soon afterwards said aloud, “Mrs. Bennet, + have you no more lanes hereabouts in which Lizzy may lose her way + again to-day?” + + “I advise Mr. Darcy, and Lizzy, and Kitty,” said Mrs. Bennet, “to + walk to Oakham Mount this morning. It is a nice long walk, and + Mr. Darcy has never seen the view.” + + “It may do very well for the others,” replied Mr. Bingley; “but I + am sure it will be too much for Kitty. Won’t it, Kitty?” Kitty + owned that she had rather stay at home. Darcy professed a great + curiosity to see the view from the Mount, and Elizabeth silently + consented. As she went up stairs to get ready, Mrs. Bennet + followed her, saying: + + “I am quite sorry, Lizzy, that you should be forced to have that + disagreeable man all to yourself. But I hope you will not mind + it: it is all for Jane’s sake, you know; and there is no occasion + for talking to him, except just now and then. So, do not put + yourself to inconvenience.” + + During their walk, it was resolved that Mr. Bennet’s consent + should be asked in the course of the evening. Elizabeth reserved + to herself the application for her mother’s. She could not + determine how her mother would take it; sometimes doubting + whether all his wealth and grandeur would be enough to overcome + her abhorrence of the man. But whether she were violently set + against the match, or violently delighted with it, it was certain + that her manner would be equally ill adapted to do credit to her + sense; and she could no more bear that Mr. Darcy should hear the + first raptures of her joy, than the first vehemence of her + disapprobation. + + In the evening, soon after Mr. Bennet withdrew to the library, + she saw Mr. Darcy rise also and follow him, and her agitation on + seeing it was extreme. She did not fear her father’s opposition, + but he was going to be made unhappy; and that it should be + through her means—that _she_, his favourite child, should be + distressing him by her choice, should be filling him with fears + and regrets in disposing of her—was a wretched reflection, and + she sat in misery till Mr. Darcy appeared again, when, looking at + him, she was a little relieved by his smile. In a few minutes he + approached the table where she was sitting with Kitty; and, while + pretending to admire her work said in a whisper, “Go to your + father, he wants you in the library.” She was gone directly. + + Her father was walking about the room, looking grave and anxious. + “Lizzy,” said he, “what are you doing? Are you out of your + senses, to be accepting this man? Have not you always hated him?” + + How earnestly did she then wish that her former opinions had been + more reasonable, her expressions more moderate! It would have + spared her from explanations and professions which it was + exceedingly awkward to give; but they were now necessary, and she + assured him, with some confusion, of her attachment to Mr. Darcy. + + “Or, in other words, you are determined to have him. He is rich, + to be sure, and you may have more fine clothes and fine carriages + than Jane. But will they make you happy?” + + “Have you any other objection,” said Elizabeth, “than your belief + of my indifference?” + + “None at all. We all know him to be a proud, unpleasant sort of + man; but this would be nothing if you really liked him.” + + “I do, I do like him,” she replied, with tears in her eyes, “I + love him. Indeed he has no improper pride. He is perfectly + amiable. You do not know what he really is; then pray do not pain + me by speaking of him in such terms.” + + “Lizzy,” said her father, “I have given him my consent. He is the + kind of man, indeed, to whom I should never dare refuse anything, + which he condescended to ask. I now give it to _you_, if you are + resolved on having him. But let me advise you to think better of + it. I know your disposition, Lizzy. I know that you could be + neither happy nor respectable, unless you truly esteemed your + husband; unless you looked up to him as a superior. Your lively + talents would place you in the greatest danger in an unequal + marriage. You could scarcely escape discredit and misery. My + child, let me not have the grief of seeing _you_ unable to + respect your partner in life. You know not what you are about.” + + Elizabeth, still more affected, was earnest and solemn in her + reply; and at length, by repeated assurances that Mr. Darcy was + really the object of her choice, by explaining the gradual change + which her estimation of him had undergone, relating her absolute + certainty that his affection was not the work of a day, but had + stood the test of many months’ suspense, and enumerating with + energy all his good qualities, she did conquer her father’s + incredulity, and reconcile him to the match. + + “Well, my dear,” said he, when she ceased speaking, “I have no + more to say. If this be the case, he deserves you. I could not + have parted with you, my Lizzy, to anyone less worthy.” + + To complete the favourable impression, she then told him what Mr. + Darcy had voluntarily done for Lydia. He heard her with + astonishment. + + “This is an evening of wonders, indeed! And so, Darcy did every + thing; made up the match, gave the money, paid the fellow’s + debts, and got him his commission! So much the better. It will + save me a world of trouble and economy. Had it been your uncle’s + doing, I must and _would_ have paid him; but these violent young + lovers carry every thing their own way. I shall offer to pay him + to-morrow; he will rant and storm about his love for you, and + there will be an end of the matter.” + + He then recollected her embarrassment a few days before, on his + reading Mr. Collins’s letter; and after laughing at her some + time, allowed her at last to go—saying, as she quitted the room, + “If any young men come for Mary or Kitty, send them in, for I am + quite at leisure.” + + Elizabeth’s mind was now relieved from a very heavy weight; and, + after half an hour’s quiet reflection in her own room, she was + able to join the others with tolerable composure. Every thing was + too recent for gaiety, but the evening passed tranquilly away; + there was no longer anything material to be dreaded, and the + comfort of ease and familiarity would come in time. + + When her mother went up to her dressing-room at night, she + followed her, and made the important communication. Its effect + was most extraordinary; for on first hearing it, Mrs. Bennet sat + quite still, and unable to utter a syllable. Nor was it under + many, many minutes that she could comprehend what she heard; + though not in general backward to credit what was for the + advantage of her family, or that came in the shape of a lover to + any of them. She began at length to recover, to fidget about in + her chair, get up, sit down again, wonder, and bless herself. + + “Good gracious! Lord bless me! only think! dear me! Mr. Darcy! + Who would have thought it! And is it really true? Oh! my sweetest + Lizzy! how rich and how great you will be! What pin-money, what + jewels, what carriages you will have! Jane’s is nothing to + it—nothing at all. I am so pleased—so happy. Such a charming + man!—so handsome! so tall!—Oh, my dear Lizzy! pray apologise for + my having disliked him so much before. I hope he will overlook + it. Dear, dear Lizzy. A house in town! Every thing that is + charming! Three daughters married! Ten thousand a year! Oh, Lord! + What will become of me. I shall go distracted.” + + This was enough to prove that her approbation need not be + doubted: and Elizabeth, rejoicing that such an effusion was heard + only by herself, soon went away. But before she had been three + minutes in her own room, her mother followed her. + + “My dearest child,” she cried, “I can think of nothing else! Ten + thousand a year, and very likely more! ’Tis as good as a Lord! + And a special licence. You must and shall be married by a special + licence. But my dearest love, tell me what dish Mr. Darcy is + particularly fond of, that I may have it to-morrow.” + + This was a sad omen of what her mother’s behaviour to the + gentleman himself might be; and Elizabeth found that, though in + the certain possession of his warmest affection, and secure of + her relations’ consent, there was still something to be wished + for. But the morrow passed off much better than she expected; for + Mrs. Bennet luckily stood in such awe of her intended son-in-law + that she ventured not to speak to him, unless it was in her power + to offer him any attention, or mark her deference for his + opinion. + + Elizabeth had the satisfaction of seeing her father taking pains + to get acquainted with him; and Mr. Bennet soon assured her that + he was rising every hour in his esteem. + + “I admire all my three sons-in-law highly,” said he. “Wickham, + perhaps, is my favourite; but I think I shall like _your_ husband + quite as well as Jane’s.” + + + + + Chapter 60 + + Elizabeth’s spirits soon rising to playfulness again, she wanted + Mr. Darcy to account for his having ever fallen in love with her. + “How could you begin?” said she. “I can comprehend your going on + charmingly, when you had once made a beginning; but what could + set you off in the first place?” + + “I cannot fix on the hour, or the spot, or the look, or the + words, which laid the foundation. It is too long ago. I was in + the middle before I knew that I _had_ begun.” + + “My beauty you had early withstood, and as for my manners—my + behaviour to _you_ was at least always bordering on the uncivil, + and I never spoke to you without rather wishing to give you pain + than not. Now be sincere; did you admire me for my impertinence?” + + “For the liveliness of your mind, I did.” + + “You may as well call it impertinence at once. It was very little + less. The fact is, that you were sick of civility, of deference, + of officious attention. You were disgusted with the women who + were always speaking, and looking, and thinking for _your_ + approbation alone. I roused, and interested you, because I was so + unlike _them_. Had you not been really amiable, you would have + hated me for it; but in spite of the pains you took to disguise + yourself, your feelings were always noble and just; and in your + heart, you thoroughly despised the persons who so assiduously + courted you. There—I have saved you the trouble of accounting for + it; and really, all things considered, I begin to think it + perfectly reasonable. To be sure, you knew no actual good of + me—but nobody thinks of _that_ when they fall in love.” + + “Was there no good in your affectionate behaviour to Jane while + she was ill at Netherfield?” + + “Dearest Jane! who could have done less for her? But make a + virtue of it by all means. My good qualities are under your + protection, and you are to exaggerate them as much as possible; + and, in return, it belongs to me to find occasions for teasing + and quarrelling with you as often as may be; and I shall begin + directly by asking you what made you so unwilling to come to the + point at last. What made you so shy of me, when you first called, + and afterwards dined here? Why, especially, when you called, did + you look as if you did not care about me?” + + “Because you were grave and silent, and gave me no + encouragement.” + + “But I was embarrassed.” + + “And so was I.” + + “You might have talked to me more when you came to dinner.” + + “A man who had felt less, might.” + + “How unlucky that you should have a reasonable answer to give, + and that I should be so reasonable as to admit it! But I wonder + how long you _would_ have gone on, if you had been left to + yourself. I wonder when you _would_ have spoken, if I had not + asked you! My resolution of thanking you for your kindness to + Lydia had certainly great effect. _Too much_, I am afraid; for + what becomes of the moral, if our comfort springs from a breach + of promise? for I ought not to have mentioned the subject. This + will never do.” + + “You need not distress yourself. The moral will be perfectly + fair. Lady Catherine’s unjustifiable endeavours to separate us + were the means of removing all my doubts. I am not indebted for + my present happiness to your eager desire of expressing your + gratitude. I was not in a humour to wait for any opening of + yours. My aunt’s intelligence had given me hope, and I was + determined at once to know every thing.” + + “Lady Catherine has been of infinite use, which ought to make her + happy, for she loves to be of use. But tell me, what did you come + down to Netherfield for? Was it merely to ride to Longbourn and + be embarrassed? or had you intended any more serious + consequence?” + + “My real purpose was to see _you_, and to judge, if I could, + whether I might ever hope to make you love me. My avowed one, or + what I avowed to myself, was to see whether your sister were + still partial to Bingley, and if she were, to make the confession + to him which I have since made.” + + “Shall you ever have courage to announce to Lady Catherine what + is to befall her?” + + “I am more likely to want more time than courage, Elizabeth. But + it ought to be done, and if you will give me a sheet of paper, it + shall be done directly.” + + “And if I had not a letter to write myself, I might sit by you + and admire the evenness of your writing, as another young lady + once did. But I have an aunt, too, who must not be longer + neglected.” + + From an unwillingness to confess how much her intimacy with Mr. + Darcy had been over-rated, Elizabeth had never yet answered Mrs. + Gardiner’s long letter; but now, having _that_ to communicate + which she knew would be most welcome, she was almost ashamed to + find that her uncle and aunt had already lost three days of + happiness, and immediately wrote as follows: + + “I would have thanked you before, my dear aunt, as I ought to + have done, for your long, kind, satisfactory, detail of + particulars; but to say the truth, I was too cross to write. You + supposed more than really existed. But _now_ suppose as much as + you choose; give a loose rein to your fancy, indulge your + imagination in every possible flight which the subject will + afford, and unless you believe me actually married, you cannot + greatly err. You must write again very soon, and praise him a + great deal more than you did in your last. I thank you, again and + again, for not going to the Lakes. How could I be so silly as to + wish it! Your idea of the ponies is delightful. We will go round + the Park every day. I am the happiest creature in the world. + Perhaps other people have said so before, but not one with such + justice. I am happier even than Jane; she only smiles, I laugh. + Mr. Darcy sends you all the love in the world that he can spare + from me. You are all to come to Pemberley at Christmas. Yours, + etc.” + + Mr. Darcy’s letter to Lady Catherine was in a different style; + and still different from either was what Mr. Bennet sent to Mr. + Collins, in reply to his last. + + “Dear Sir, + “I must trouble you once more for congratulations. Elizabeth will + soon be the wife of Mr. Darcy. Console Lady Catherine as well as + you can. But, if I were you, I would stand by the nephew. He has + more to give. + + “Yours sincerely, etc.” + + Miss Bingley’s congratulations to her brother, on his approaching + marriage, were all that was affectionate and insincere. She wrote + even to Jane on the occasion, to express her delight, and repeat + all her former professions of regard. Jane was not deceived, but + she was affected; and though feeling no reliance on her, could + not help writing her a much kinder answer than she knew was + deserved. + + The joy which Miss Darcy expressed on receiving similar + information, was as sincere as her brother’s in sending it. Four + sides of paper were insufficient to contain all her delight, and + all her earnest desire of being loved by her sister. + + Before any answer could arrive from Mr. Collins, or any + congratulations to Elizabeth from his wife, the Longbourn family + heard that the Collinses were come themselves to Lucas Lodge. The + reason of this sudden removal was soon evident. Lady Catherine + had been rendered so exceedingly angry by the contents of her + nephew’s letter, that Charlotte, really rejoicing in the match, + was anxious to get away till the storm was blown over. At such a + moment, the arrival of her friend was a sincere pleasure to + Elizabeth, though in the course of their meetings she must + sometimes think the pleasure dearly bought, when she saw Mr. + Darcy exposed to all the parading and obsequious civility of her + husband. He bore it, however, with admirable calmness. He could + even listen to Sir William Lucas, when he complimented him on + carrying away the brightest jewel of the country, and expressed + his hopes of their all meeting frequently at St. James’s, with + very decent composure. If he did shrug his shoulders, it was not + till Sir William was out of sight. + + Mrs. Phillips’s vulgarity was another, and perhaps a greater, tax + on his forbearance; and though Mrs. Phillips, as well as her + sister, stood in too much awe of him to speak with the + familiarity which Bingley’s good humour encouraged, yet, whenever + she _did_ speak, she must be vulgar. Nor was her respect for him, + though it made her more quiet, at all likely to make her more + elegant. Elizabeth did all she could to shield him from the + frequent notice of either, and was ever anxious to keep him to + herself, and to those of her family with whom he might converse + without mortification; and though the uncomfortable feelings + arising from all this took from the season of courtship much of + its pleasure, it added to the hope of the future; and she looked + forward with delight to the time when they should be removed from + society so little pleasing to either, to all the comfort and + elegance of their family party at Pemberley. + + + + + Chapter 61 + + Happy for all her maternal feelings was the day on which Mrs. + Bennet got rid of her two most deserving daughters. With what + delighted pride she afterwards visited Mrs. Bingley, and talked + of Mrs. Darcy, may be guessed. I wish I could say, for the sake + of her family, that the accomplishment of her earnest desire in + the establishment of so many of her children produced so happy an + effect as to make her a sensible, amiable, well-informed woman + for the rest of her life; though perhaps it was lucky for her + husband, who might not have relished domestic felicity in so + unusual a form, that she still was occasionally nervous and + invariably silly. + + Mr. Bennet missed his second daughter exceedingly; his affection + for her drew him oftener from home than anything else could do. + He delighted in going to Pemberley, especially when he was least + expected. + + Mr. Bingley and Jane remained at Netherfield only a twelvemonth. + So near a vicinity to her mother and Meryton relations was not + desirable even to _his_ easy temper, or _her_ affectionate heart. + The darling wish of his sisters was then gratified; he bought an + estate in a neighbouring county to Derbyshire, and Jane and + Elizabeth, in addition to every other source of happiness, were + within thirty miles of each other. + + Kitty, to her very material advantage, spent the chief of her + time with her two elder sisters. In society so superior to what + she had generally known, her improvement was great. She was not + of so ungovernable a temper as Lydia; and, removed from the + influence of Lydia’s example, she became, by proper attention and + management, less irritable, less ignorant, and less insipid. From + the further disadvantage of Lydia’s society she was of course + carefully kept, and though Mrs. Wickham frequently invited her to + come and stay with her, with the promise of balls and young men, + her father would never consent to her going. + + Mary was the only daughter who remained at home; and she was + necessarily drawn from the pursuit of accomplishments by Mrs. + Bennet’s being quite unable to sit alone. Mary was obliged to mix + more with the world, but she could still moralize over every + morning visit; and as she was no longer mortified by comparisons + between her sisters’ beauty and her own, it was suspected by her + father that she submitted to the change without much reluctance. + + As for Wickham and Lydia, their characters suffered no revolution + from the marriage of her sisters. He bore with philosophy the + conviction that Elizabeth must now become acquainted with + whatever of his ingratitude and falsehood had before been unknown + to her; and in spite of every thing, was not wholly without hope + that Darcy might yet be prevailed on to make his fortune. The + congratulatory letter which Elizabeth received from Lydia on her + marriage, explained to her that, by his wife at least, if not by + himself, such a hope was cherished. The letter was to this + effect: + + “My dear Lizzy, + “I wish you joy. If you love Mr. Darcy half as well as I do my + dear Wickham, you must be very happy. It is a great comfort to + have you so rich, and when you have nothing else to do, I hope + you will think of us. I am sure Wickham would like a place at + court very much, and I do not think we shall have quite money + enough to live upon without some help. Any place would do, of + about three or four hundred a year; but however, do not speak to + Mr. Darcy about it, if you had rather not. + + “Yours, etc.” + + As it happened that Elizabeth had much rather not, she + endeavoured in her answer to put an end to every entreaty and + expectation of the kind. Such relief, however, as it was in her + power to afford, by the practice of what might be called economy + in her own private expences, she frequently sent them. It had + always been evident to her that such an income as theirs, under + the direction of two persons so extravagant in their wants, and + heedless of the future, must be very insufficient to their + support; and whenever they changed their quarters, either Jane or + herself were sure of being applied to for some little assistance + towards discharging their bills. Their manner of living, even + when the restoration of peace dismissed them to a home, was + unsettled in the extreme. They were always moving from place to + place in quest of a cheap situation, and always spending more + than they ought. His affection for her soon sunk into + indifference; hers lasted a little longer; and in spite of her + youth and her manners, she retained all the claims to reputation + which her marriage had given her. + + Though Darcy could never receive _him_ at Pemberley, yet, for + Elizabeth’s sake, he assisted him further in his profession. + Lydia was occasionally a visitor there, when her husband was gone + to enjoy himself in London or Bath; and with the Bingleys they + both of them frequently staid so long, that even Bingley’s good + humour was overcome, and he proceeded so far as to _talk_ of + giving them a hint to be gone. + + Miss Bingley was very deeply mortified by Darcy’s marriage; but + as she thought it advisable to retain the right of visiting at + Pemberley, she dropt all her resentment; was fonder than ever of + Georgiana, almost as attentive to Darcy as heretofore, and paid + off every arrear of civility to Elizabeth. + + Pemberley was now Georgiana’s home; and the attachment of the + sisters was exactly what Darcy had hoped to see. They were able + to love each other even as well as they intended. Georgiana had + the highest opinion in the world of Elizabeth; though at first + she often listened with an astonishment bordering on alarm at her + lively, sportive, manner of talking to her brother. He, who had + always inspired in herself a respect which almost overcame her + affection, she now saw the object of open pleasantry. Her mind + received knowledge which had never before fallen in her way. By + Elizabeth’s instructions, she began to comprehend that a woman + may take liberties with her husband which a brother will not + always allow in a sister more than ten years younger than + himself. + + Lady Catherine was extremely indignant on the marriage of her + nephew; and as she gave way to all the genuine frankness of her + character in her reply to the letter which announced its + arrangement, she sent him language so very abusive, especially of + Elizabeth, that for some time all intercourse was at an end. But + at length, by Elizabeth’s persuasion, he was prevailed on to + overlook the offence, and seek a reconciliation; and, after a + little further resistance on the part of his aunt, her resentment + gave way, either to her affection for him, or her curiosity to + see how his wife conducted herself; and she condescended to wait + on them at Pemberley, in spite of that pollution which its woods + had received, not merely from the presence of such a mistress, + but the visits of her uncle and aunt from the city. + + With the Gardiners, they were always on the most intimate terms. + Darcy, as well as Elizabeth, really loved them; and they were + both ever sensible of the warmest gratitude towards the persons + who, by bringing her into Derbyshire, had been the means of + uniting them. + + + + +End of the Project Gutenberg EBook of Pride and Prejudice, by Jane Austen + +*** END OF THIS PROJECT GUTENBERG EBOOK PRIDE AND PREJUDICE *** + +***** This file should be named 1342-0.txt or 1342-0.zip ***** +This and all associated files of various formats will be found in: + http://www.gutenberg.org/1/3/4/1342/ + +Produced by Anonymous Volunteers, and David Widger + +Updated editions will replace the previous one--the old editions +will be renamed. + +Creating the works from public domain print editions means that no +one owns a United States copyright in these works, so the Foundation +(and you!) can copy and distribute it in the United States without +permission and without paying copyright royalties. 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Thus, we do not necessarily +keep eBooks in compliance with any particular paper edition. + + +Most people start at our Web site which has the main PG search facility: + + http://www.gutenberg.org + +This Web site includes information about Project Gutenberg-tm, +including how to make donations to the Project Gutenberg Literary +Archive Foundation, how to help produce our new eBooks, and how to +subscribe to our email newsletter to hear about new eBooks. + + diff --git a/components/E2A-SML/booknlp/english/__init__.py b/components/E2A-SML/booknlp/english/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/E2A-SML/booknlp/english/bert_coref_quote_pronouns.py b/components/E2A-SML/booknlp/english/bert_coref_quote_pronouns.py new file mode 100644 index 0000000..609f810 --- /dev/null +++ b/components/E2A-SML/booknlp/english/bert_coref_quote_pronouns.py @@ -0,0 +1,1208 @@ +import re +import os +from collections import Counter +import sys +import argparse + +from transformers import BertModel +from transformers import BertTokenizer + +import torch +from torch import nn +import torch.optim as optim +import numpy as np +import random + +from booknlp.common.pipelines import Token, Entity +from booknlp.english.litbank_quote import QuoteTagger +from booknlp.english.name_coref import NameCoref + +from booknlp.english.bert_qa import QuotationAttribution + +random.seed(1) +np.random.seed(1) +torch.manual_seed(1) +torch.backends.cudnn.deterministic = True +torch.backends.cudnn.benchmark = False + +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +print("using device", device) + + +class BERTCorefTagger(nn.Module): + + def __init__(self, gender_cats, freeze_bert=False, base_model=None, pronominalCorefOnly=True): + super(BERTCorefTagger, self).__init__() + + modelName=base_model + modelName=re.sub("^coref_", "", modelName) + modelName=re.sub("-v\d.*$", "", modelName) + + matcher=re.search(".*-(\d+)_H-(\d+)_A-.*", modelName) + bert_dim=0 + modelSize=0 + + self.num_layers=0 + if matcher is not None: + self.num_layers=min(4, int(matcher.group(1))) + bert_dim=int(matcher.group(2)) + + modelSize=self.num_layers*bert_dim + + assert bert_dim != 0 + + self.pronominalCorefOnly=pronominalCorefOnly + + self.tokenizer = BertTokenizer.from_pretrained(modelName, do_lower_case=False, do_basic_tokenize=False) + self.bert = BertModel.from_pretrained(modelName) + + self.tokenizer.add_tokens(["[CAP]"], special_tokens=True) + self.bert.resize_token_embeddings(len(self.tokenizer)) + + self.bert.eval() + + self.vec_get_distance_bucket=np.vectorize(self.get_distance_bucket) + + if freeze_bert: + for param in self.bert.parameters(): + param.requires_grad = False + + self.distance_embeddings = nn.Embedding(43, 20) + self.speaker_embeddings = nn.Embedding(3, 20) + self.nested_embeddings = nn.Embedding(2, 20) + self.gender_embeddings = nn.Embedding(3, 20) + self.width_embeddings = nn.Embedding(12, 20) + self.quote_embeddings = nn.Embedding(3, 20) + + self.hidden_dim=bert_dim + self.attention1 = nn.Linear(self.hidden_dim, self.hidden_dim) + self.attention2 = nn.Linear(self.hidden_dim, 1) + self.mention_mention1 = nn.Linear( (3 * self.hidden_dim + 20 + 20) * 3 + 20 + 20 + 20 + 20, 150) + self.mention_mention2 = nn.Linear(150, 150) + self.mention_mention3 = nn.Linear(150, 1) + + self.unary1 = nn.Linear(3 * self.hidden_dim + 20 + 20, 150) + self.unary2 = nn.Linear(150, 150) + self.unary3 = nn.Linear(150, 1) + + self.drop_layer_020 = nn.Dropout(p=0.2) + self.tanh = nn.Tanh() + + self.gender_cats=gender_cats + self.gender_expressions={} + for val in self.gender_cats: + cat='/'.join(val) + self.gender_expressions[cat]={} + for w in cat.split("/"): + self.gender_expressions[cat][w]=1 + + self.conflicting_genders={} + for cat in self.gender_expressions: + self.conflicting_genders[cat]={} + for alt_cat in self.gender_expressions: + if cat != alt_cat: + for w in self.gender_expressions[alt_cat]: + if w not in self.gender_expressions[cat]: + self.conflicting_genders[cat][w]=1 + + + def get_mention_reps(self, input_ids=None, attention_mask=None, starts=None, ends=None, index=None, widths=None, quotes=None, matrix=None, transforms=None, doTrain=True): + + starts=starts.to(device) + ends=ends.to(device) + widths=widths.to(device) + + quotes=quotes.to(device) + + input_ids = input_ids.to(device) + attention_mask = attention_mask.to(device) + transforms = transforms.to(device) + + # matrix specifies which token positions (cols) are associated with which mention spans (row) + matrix=matrix.to(device) # num_sents x max_ents x max_words + + # index specifies the location of the mentions in each sentence (which vary due to padding) + index=index.to(device) + + _, pooled_outputs, sequence_outputs = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True, return_dict=False) + + all_layers = sequence_outputs[-1] + embeds=torch.matmul(transforms,all_layers) + + average=torch.matmul(matrix, embeds) + + ########### + # ATTENTION OVER MENTION + ########### + + attention_weights=self.attention2(self.tanh(self.attention1(embeds))) # num_sents x max_words x 1 + attention_weights=torch.exp(attention_weights) + + attx=attention_weights.squeeze(-1).unsqueeze(1).expand_as(matrix) + summer=attx*matrix + + val=matrix*summer # num_sents x max_ents x max_words + + val=val/torch.sum(1e-8+val,dim=2).unsqueeze(-1) + + attended=torch.matmul(val, embeds) # num_sents x max_ents x 2 * hidden_dim + + attended=attended.view(-1,self.hidden_dim) + + embeds=embeds.contiguous() + position_output=embeds.view(-1, self.hidden_dim) + + # starts = token position of beginning of mention in flattened token list + start_output=torch.index_select(position_output, 0, starts) + # ends = token position of end of mention in flattened token list + end_output=torch.index_select(position_output, 0, ends) + + # index = index of entity in flattened list of attended mention representations + mentions=torch.index_select(attended, 0, index) + + average=average.view(-1,self.hidden_dim) + averaged_mentions=torch.index_select(average, 0, index) + + width_embeds=self.width_embeddings(widths) + + quote_embeds=self.quote_embeddings(quotes) + + span_representation=torch.cat((start_output, end_output, mentions, width_embeds, quote_embeds), 1) + + if doTrain: + return span_representation + else: + # detach tensor from computation graph at test time or memory will blow up + return span_representation.detach() + + + def assign_quotes_to_entity(self, entities): + # For training, assign quotes to the nearest gold mention + for idx, entity in enumerate(entities): + dists=[] + if entity.in_quote: + for j in range(len(entities)): + if not entities[j].in_quote and entities[j].entity_id == entity.quote_eid: + dists.append((abs(j-idx), j)) + + for dist, j in sorted(dists, reverse=False): + entity.quote_mention=j + break + + + + def add_property(self, entity_properties, cand_assignment, mention, ref_genders): + + if cand_assignment not in entity_properties: + entity_properties[cand_assignment]={} + + entity_properties[cand_assignment]["ner_cat"]=mention.ner_cat + + + def is_compatible(self, cand_mention, eid, entity_properties, mention, ref_genders, score): + + # If we've already given a referential gender to a candidate in a previous step using global + # information, respect that global inference when linking pronouns rather than relying on local coref to do it. + if len(mention.text.split(" ")) == 1: + term=mention.text.lower() + + if eid in ref_genders: + cat=ref_genders[eid]["argmax"] + if term in self.conflicting_genders[cat]: + return False + + # Don't allow links between mentions with different NER categories + if eid in entity_properties and mention.ner_cat in entity_properties[eid]: + if mention.ner_cat != entity_properties[eid]["ner_cat"]: + return False + + return True + + def get_non_quote_cands(self, first, idx, entities): + + # entities not in quotes can only refer back to other entities not in quotes + dists=[] + + for i in range(first, idx): + if entities[i].in_quote == False: + dists.append(i) + + return np.array(dists), list(reversed(np.arange(len(dists)))) + + + def get_closest_entities(self, first, idx, entities, top=10): + + # entities in quotes can refer back to *any* entity (in quote or outside) or up to 10 entities outside quotes ahead + dists=list(np.arange(first, idx)) + + ent_dist=list(reversed(np.arange(len(dists)))) + + k=1 + for i in range(idx+1, min(idx+1+top, len(entities))): + + if entities[i].in_quote == False: + dists.append(i) + ent_dist.append(-k) + k+=1 + + return np.array(dists), ent_dist + + def forward(self, matrix, index, existing=None, truth=None, token_positions=None, starts=None, ends=None, widths=None, input_ids=None, attention_mask=None, transforms=None, entities=None, ref_genders={}): + + doTrain=False + if truth is not None: + doTrain=True + + zeroTensor=torch.FloatTensor([0]).to(device) + + entity_properties={} + + if existing is not None: + for idx, val in enumerate(existing): + e=entities[idx] + if val != -1 and val is not None: + self.add_property(entity_properties, val, e, ref_genders) + + all_starts=None + all_ends=None + + span_representation=None + + all_all=[] + cur=0 + for b in range(len(matrix)): + + quotes=[] + for entity in entities[cur:cur+len(starts[b])]: + if entity.in_quote: + quotes.append(1) + else: + quotes.append(0) + cur+=len(starts[b]) + + quotes=torch.LongTensor(quotes) + + span_reps=self.get_mention_reps(input_ids=input_ids[b], attention_mask=attention_mask[b], starts=starts[b], ends=ends[b], index=index[b], widths=widths[b], quotes=quotes, transforms=transforms[b], matrix=matrix[b], doTrain=doTrain) + + if b == 0: + span_representation=span_reps + all_starts=starts[b] + all_ends=ends[b] + + else: + + span_representation=torch.cat((span_representation, span_reps), 0) + + all_starts=torch.cat((all_starts, starts[b]), 0) + all_ends=torch.cat((all_ends, ends[b]), 0) + + all_starts=all_starts.to(device) + all_ends=all_ends.to(device) + + num_mentions,=all_starts.shape + + running_loss=0 + + curid=-1 + + if existing is not None: + for r in existing: + if r > curid: + curid=r + + curid+=1 + + assignments=[None]*len(entities) + + if truth is not None: + for idx, entity in enumerate(entities): + assignments[idx]=entity.entity_id + + seen={} + + ch=0 + + token_positions=np.array(token_positions) + + mention_index=np.arange(num_mentions) + + unary_scores=self.unary3(self.tanh(self.drop_layer_020(self.unary2(self.tanh(self.drop_layer_020(self.unary1(span_representation))))))) + + # process entities outside of quotes first + + for inQuoteVal in [False, True]: + + for i in range(num_mentions): + + entity=entities[i] + + if entity.in_quote != inQuoteVal: + continue + + # if the mention has already been resolved through name coref, skip it + if not doTrain and existing is not None and existing[i] != -1: + assignments[i]=existing[i] + continue + + # if the mention is a pronoun and we're only doing pronominal coref, skip it + # (assign the mention a unique entity ID, to be clustered later) + elif not doTrain and entity.proper != "PRON" and self.pronominalCorefOnly: + + assignment=curid + curid+=1 + assignments[i]=assignment + + continue + + if i == 0: + # the first mention must start a new entity; this doesn't affect training (since the loss must be 0) so we can skip it. + if not doTrain: + + if existing is None or (existing is not None and existing[i] == -1): + assignment=curid + curid+=1 + assignments[i]=assignment + else: + + assignments[i]=existing[i] + + continue + + MAX_PREVIOUS_MENTIONS=20 + + first=max(0,i-MAX_PREVIOUS_MENTIONS) + + cands_idx=None + if inQuoteVal == False: + # entities not in quotes can only refer back to other entities not in quotes + cands_idx, ent_dist=self.get_non_quote_cands(first, i, entities) + else: + # entities in quotes can refer back to *any* entity (in quote or outside) or up to 10 entities outside quotes ahead + cands_idx, ent_dist=self.get_closest_entities(first, i, entities) + + cands_idx=cands_idx[-MAX_PREVIOUS_MENTIONS:] + ent_dist=ent_dist[-MAX_PREVIOUS_MENTIONS:] + + + preds=None + + # if there are no candidates, then don't bother training, but create a new entity ID if predicting + if len(cands_idx) == 0: + + if truth is None: + + if existing is None or (existing is not None and existing[i] == -1): + assignment=curid + curid+=1 + assignments[i]=assignment + else: + assignments[i]=existing[i] + + continue + + else: + + targets=span_representation[cands_idx] + cp=span_representation[i].expand_as(targets) + + dists=[] + nesteds=[] + + # force 1st person pronouns in quotes to co-refer with the quote speaker + if entity.quote_mention is not None and assignments[entity.quote_mention ] is not None and (entity.text.lower() == "i" or entity.text.lower() == "me" or entity.text.lower() == "my" or entity.text.lower() == "myself") and entity.in_quote: + assignments[i]=assignments[entity.quote_mention] + continue + + same_speaker=[] + for e in cands_idx: + if not entities[i].in_quote: + same_speaker.append(2) + else: + + # the candidates for every mention in a quote have already been resolved + # (either candidates outside of quotes, or earlier mentions within quotes) + # check if the *speaker* of the quote the mention is embedded within is coreferent with that candidate + + if entities[i].quote_mention is None: + same_speaker.append(2) + else: + attribution_assignment=assignments[entities[i].quote_mention] + + if assignments[e] == attribution_assignment: + same_speaker.append(1) + else: + same_speaker.append(0) + + + same_speaker_embeds=self.speaker_embeddings(torch.LongTensor(same_speaker).to(device)) + + # get distance in mentions + dists=self.vec_get_distance_bucket(ent_dist) + dists=torch.LongTensor(dists).to(device) + distance_embeds=self.distance_embeddings(dists) + + # is the current mention nested within a previous one? + + nest1=[] + nest2=[] + for cand in cands_idx: + if entity.global_start >= entities[cand].global_start and entity.global_end < entities[cand].global_end: + nest1.append(1) + else: + nest1.append(0) + if entities[cand].global_start >= entity.global_start and entities[cand].global_end < entity.global_end: + nest2.append(1) + else: + nest2.append(0) + + nesteds_embeds=self.nested_embeddings(torch.LongTensor(nest1).to(device)) + nesteds_embeds2=self.nested_embeddings(torch.LongTensor(nest2).to(device)) + + elementwise=cp*targets + concat=torch.cat((cp, targets, elementwise, distance_embeds, nesteds_embeds, nesteds_embeds2, same_speaker_embeds), 1) + + preds=self.mention_mention3(self.tanh(self.drop_layer_020(self.mention_mention2(self.tanh(self.drop_layer_020(self.mention_mention1(concat))))))) + + preds=preds + unary_scores[i] + unary_scores[cands_idx] + + preds=preds.squeeze(-1) + + if doTrain: + + # zero is the score for the dummy antecedent/new entity + preds=torch.cat((preds, zeroTensor)) + + golds_sum=0. + preds_sum=torch.logsumexp(preds, 0) + + if len(truth[i]) == 0: + golds_sum=0. + else: + golds=torch.index_select(preds, 0, torch.LongTensor(truth[i]).to(device)) + golds_sum=torch.logsumexp(golds, 0) + + # want to maximize (golds_sum-preds_sum), so minimize (preds_sum-golds_sum) + diff=preds_sum-golds_sum + + running_loss+=diff + + else: + + if existing is not None and existing[i] != -1: + assignments[i]=existing[i] + + elif entity.proper != "PRON" and self.pronominalCorefOnly: + + assignment=curid + curid+=1 + assignments[i]=assignment + + continue + + else: + + assignment=None + + if i == 0 or len(cands_idx) == 0: + assignment=curid + curid+=1 + else: + arg_sorts=torch.argsort(preds, descending=True) + k=0 + while k < len(arg_sorts): + cand_idx=arg_sorts[k] + if preds[cand_idx] > 0: + score=preds[cand_idx] + + cand_assignment=assignments[cands_idx[cand_idx]] + cand_mention=entities[cands_idx[cand_idx]] + if cand_assignment is None: + print("problem!", cands_idx[cand_idx], preds[cand_idx], cand_assignment, i, inQuoteVal, assignments, torch.sort(preds, descending=True)) + sys.exit(1) + + if self.is_compatible(cand_mention, cand_assignment, entity_properties, entity, ref_genders, score): + assignment=cand_assignment + ch+=1 + self.add_property(entity_properties, cand_assignment, entity, ref_genders) + break + + else: + assignment=curid + curid+=1 + break + + k+=1 + + if assignment is None: + # print("adding default new entity due to lack of compatibility", i, assignment) + assignment=curid + curid+=1 + + assignments[i]=assignment + + + if truth is not None: + return running_loss + else: + return assignments + + + def get_mention_width_bucket(self, dist): + if abs(dist) < 10: + return abs(dist) + 1 + + return 11 + + def get_distance_bucket(self, dist): + + if dist < 30: + return dist + 10 + + if dist < 40: + return 41 + + return 42 + + def print_conll(self, name, sents, all_ents, assignments, out, token_maps): + + doc_id, part_id=name + + mapper=[] + idd=0 + for ent in all_ents: + mapper_e=[] + for e in ent: + mapper_e.append(idd) + idd+=1 + mapper.append(mapper_e) + + out.write("#begin document (%s); part %s\n" % (doc_id, part_id)) + + cur_tok=0 + tok_id=0 + + for s_idx, sent in enumerate(sents): + ents=all_ents[s_idx] + for w_idx, word in enumerate(sent): + + if w_idx == 0 or w_idx == len(sent)-1: + continue + + label=[] + for idx, entity in enumerate(ents): + start=entity.start + end=entity.end + if start == w_idx and end == w_idx: + eid=assignments[mapper[s_idx][idx]] + label.append("(%s)" % eid) + elif start == w_idx: + eid=assignments[mapper[s_idx][idx]] + label.append("(%s" % eid) + elif end == w_idx: + eid=assignments[mapper[s_idx][idx]] + label.append("%s)" % eid) + + out.write("%s\t%s\t%s\t%s\t_\t_\t_\t_\t_\t_\t_\t_\t%s\n" % (doc_id, part_id, tok_id, word, '|'.join(label))) + tok_id+=1 + cur_tok+=1 + + if cur_tok in token_maps[doc_id]: + out.write("\n") + tok_id=0 + + out.write("#end document\n") + + + def read_toks(self, filename): + + tok_sent_idx=0 + lastSent=None + toks=[] + with open(filename) as file: + file.readline() + for line in file: + cols=line.rstrip().split("\t") + parID=int(cols[0]) + sentenceID=int(cols[1]) + tokenID=int(cols[2]) + text=cols[7] + pos=cols[10] + lemma=cols[9] + deprel=cols[12] + dephead=int(cols[6]) + ner=cols[11] + startByte=int(cols[3]) + + if sentenceID != lastSent: + tok_sent_idx=0 + + tok=Token(parID, sentenceID, tok_sent_idx, tokenID, text, pos, None, lemma, deprel, dephead, ner, startByte) + + tok_sent_idx+=1 + lastSent=sentenceID + toks.append(tok) + + return toks + + + def get_matrix(self, list_of_entities, max_words, max_ents): + + matrix=np.zeros((max_ents, max_words)) + for idx, entity in enumerate(list_of_entities): + for i in range(entity.start, entity.end+1): + matrix[idx,i]=1 + return matrix + + + def get_data(self, doc, ents, max_ents, max_words, batchsize=128): + + token_positions=[] + ent_spans=[] + persons=[] + inquotes=[] + + batch_matrix=[] + matrix=[] + + max_words_batch=[] + max_ents_batch=[] + + max_w=1 + max_e=1 + + sent_count=0 + for idx, sent in enumerate(doc): + + if len(sent) > max_w: + max_w=len(sent) + if len(ents[idx]) > max_e: + max_e = len(ents[idx]) + + sent_count+=1 + + if sent_count == batchsize: + max_words_batch.append(max_w) + max_ents_batch.append(max_e) + sent_count=0 + max_w=0 + max_e=0 + + if sent_count > 0: + max_words_batch.append(max_w) + max_ents_batch.append(max_e) + + batch_count=0 + for idx, sent in enumerate(doc): + matrix.append(self.get_matrix(ents[idx], max_words_batch[batch_count], max_ents_batch[batch_count])) + + if len(matrix) == batchsize: + batch_matrix.append(torch.FloatTensor(np.array(matrix))) + matrix=[] + batch_count+=1 + + if len(matrix) > 0: + batch_matrix.append(torch.FloatTensor(np.array(matrix))) + + + batch_index=[] + batch_quotes=[] + + batch_ent_spans=[] + + index=[] + abs_pos=0 + sent_count=0 + + b=0 + for idx, sent_ents in enumerate(ents): + + for i in range(len(sent_ents)): + index.append(sent_count*max_ents_batch[b] + i) + #s,e,inQuote=sent[i] + entity=sent_ents[i] + token_positions.append(idx) + ent_spans.append(entity.end-entity.start) + phrase=' '.join(doc[idx][entity.start:entity.end+1]) + + inquotes.append(entity.in_quote) + + + abs_pos+=len(doc[idx]) + + sent_count+=1 + + if sent_count == batchsize: + batch_index.append(torch.LongTensor(index)) + batch_quotes.append(torch.LongTensor(inquotes)) + batch_ent_spans.append(ent_spans) + + index=[] + inquotes=[] + ent_spans=[] + sent_count=0 + b+=1 + + if sent_count > 0: + batch_index.append(torch.LongTensor(index)) + batch_quotes.append(torch.LongTensor(inquotes)) + batch_ent_spans.append(ent_spans) + + all_masks=[] + all_transforms=[] + all_data=[] + + batch_masks=[] + batch_transforms=[] + batch_data=[] + + # get ids and pad sentence + for sent in doc: + tok_ids=[] + input_mask=[] + transform=[] + + all_toks=[] + n=0 + for idx, word in enumerate(sent): + toks=self.tokenizer.tokenize(word) + all_toks.append(toks) + n+=len(toks) + + + cur=0 + for idx, word in enumerate(sent): + + toks=all_toks[idx] + ind=list(np.zeros(n)) + for j in range(cur,cur+len(toks)): + ind[j]=1./len(toks) + cur+=len(toks) + transform.append(ind) + + tok_id=self.tokenizer.convert_tokens_to_ids(toks) + assert len(tok_id) == len(toks) + tok_ids.extend(tok_id) + + input_mask.extend(np.ones(len(toks))) + + token=word.lower() + + all_masks.append(input_mask) + all_data.append(tok_ids) + all_transforms.append(transform) + + if len(all_masks) == batchsize: + batch_masks.append(all_masks) + batch_data.append(all_data) + batch_transforms.append(all_transforms) + + all_masks=[] + all_data=[] + all_transforms=[] + + if len(all_masks) > 0: + batch_masks.append(all_masks) + batch_data.append(all_data) + batch_transforms.append(all_transforms) + + + for b in range(len(batch_data)): + + max_len = max([len(sent) for sent in batch_data[b]]) + + for j in range(len(batch_data[b])): + + blen=len(batch_data[b][j]) + + for k in range(blen, max_len): + batch_data[b][j].append(0) + batch_masks[b][j].append(0) + for z in range(len(batch_transforms[b][j])): + batch_transforms[b][j][z].append(0) + + for k in range(len(batch_transforms[b][j]), max_words_batch[b]): + batch_transforms[b][j].append(np.zeros(max_len)) + + batch_data[b]=torch.LongTensor(batch_data[b]) + batch_transforms[b]=torch.FloatTensor(np.array(batch_transforms[b])) + batch_masks[b]=torch.FloatTensor(batch_masks[b]) + + tok_pos=0 + starts=[] + ends=[] + widths=[] + + batch_starts=[] + batch_ends=[] + batch_widths=[] + + sent_count=0 + b=0 + for idx, sent_ents in enumerate(ents): + + for i in range(len(sent_ents)): + + entity=sent_ents[i] + + starts.append(tok_pos+entity.start) + ends.append(tok_pos+entity.end) + widths.append(self.get_mention_width_bucket(entity.end-entity.start)) + + sent_count+=1 + tok_pos+=max_words_batch[b] + + if sent_count == batchsize: + batch_starts.append(torch.LongTensor(starts)) + batch_ends.append(torch.LongTensor(ends)) + batch_widths.append(torch.LongTensor(widths)) + + starts=[] + ends=[] + widths=[] + tok_pos=0 + sent_count=0 + b+=1 + + if sent_count > 0: + batch_starts.append(torch.LongTensor(starts)) + batch_ends.append(torch.LongTensor(ends)) + batch_widths.append(torch.LongTensor(widths)) + + + return batch_matrix, batch_index, token_positions, ent_spans, batch_starts, batch_ends, batch_widths, batch_data, batch_masks, batch_transforms, batch_quotes + + def get_ant_labels(self, all_doc_sents, all_doc_ents, all_quotes): + + max_words=0 + max_ents=0 + mention_id=0 + + big_ents={} + + doc_antecedent_labels=[] + quote_antecedent_labels=[] + + all_ents=[] + + big_doc_ents=[] + + for idx, sent in enumerate(all_doc_sents): + if len(sent) > max_words: + max_words=len(sent) + + this_sent_ents=[] + all_sent_ents=sorted(all_doc_ents[idx], key=lambda x: (x.start, x.end)) + all_ents.extend(all_sent_ents) + + if len(all_sent_ents) > max_ents: + max_ents=len(all_sent_ents) + + for entity in all_sent_ents: + this_sent_ents.append(entity) + + big_doc_ents.append(this_sent_ents) + + + for idx, entity in enumerate(all_ents): + + + MAX_PREVIOUS_MENTIONS=20 + + first=max(0,idx-MAX_PREVIOUS_MENTIONS) + + if entity.in_quote == False: + cands_idx, _=self.get_non_quote_cands(first, idx, all_ents) + + else: + cands_idx, _=self.get_closest_entities(first, idx, all_ents) + + cands_idx=cands_idx[-MAX_PREVIOUS_MENTIONS:] + + vals=[] + for c_idx, cand_idx in enumerate(cands_idx): + if entity.entity_id == all_ents[cand_idx].entity_id: + vals.append(c_idx) + + doc_antecedent_labels.append(vals) + + return doc_antecedent_labels, big_doc_ents, max_words, max_ents, quote_antecedent_labels + + def read_conll(self, filename, quotes={}): + + + sentence_breaks={} + + docid=None + partID=None + + all_docids=[] + all_sents=[] + all_ents=[] + all_antecedent_labels=[] + all_max_words=[] + all_max_ents=[] + all_doc_names=[] + + all_named_ents=[] + + all_quotes=[] + + + # for one doc + all_doc_sents=[] + all_doc_ents=[] + all_doc_named_ents=[] + all_doc_quotes=[] + + # for one sentence + sent=[] + ents={} + sent_quotes=[] + sent.append("[CLS]") + + # sentence ID in original CoNLL file + sid=0 + + # word ID within sentence in original CoNLL file + wid=0 + + # global token ID within document + global_id=-1 + + cur_batch_sid=0 + + named_ents=[] + cur_tokens=0 + max_allowable_tokens=425 + cur_tid=0 + open_count=0 + + doc_count=0 + lastQuoteStart=None + doc_quotes=[] + + with open(filename, encoding="utf-8") as file: + + + for line in file: + if line.startswith("#begin document"): + doc_count+=1 + cur_batch_sid=tok_id=0 + + global_id=-1 + lastQuoteStart=None + adjusted_quotes=[] + doc_quotes=[] + + inQuote=False, None, None, None, None, None + + all_doc_ents=[] + all_doc_sents=[] + all_doc_quotes=[] + + all_doc_named_ents=[] + + open_ents={} + open_named_ents={} + + ents={} + sent_quotes=[] + named_ents=[] + sent=["[CLS]"] + cur_tokens=0 + cur_tid=0 + open_count=0 + + sid=0 + wid=0 + + docid=None + matcher=re.match("#begin document \((.*)\); part (.*)$", line.rstrip()) + if matcher != None: + docid=matcher.group(1) + partID=matcher.group(2) + + all_docids.append(docid) + + sentence_breaks[docid]={} + + elif line.startswith("#end document"): + + all_quotes.append(doc_quotes) + + if len(sent) > 1: + sent.append("[SEP]") + all_doc_sents.append(sent) + + # transform ents dict to list + ents=list(ents.values()) + ents=sorted(ents, key=lambda x: (x.start, x.end)) + + named_ents=sorted(named_ents, key=lambda x: (x[0], x[1])) + + all_doc_ents.append(ents) + all_doc_named_ents.append(named_ents) + all_doc_quotes.append(sent_quotes) + + doc_quotes.append(adjusted_quotes) + + + all_sents.append(all_doc_sents) + + doc_antecedent_labels, big_ents, max_words, max_ents, quote_antecedent_labels=self.get_ant_labels(all_doc_sents, all_doc_ents, all_doc_quotes) + + all_ents.append(big_ents) + + all_named_ents.append(all_doc_named_ents) + + all_antecedent_labels.append(doc_antecedent_labels) + all_max_words.append(max_words+1) + all_max_ents.append(max_ents+1) + + all_doc_names.append((docid,partID)) + + else: + + parts=re.split("\s+", line.rstrip()) + + if len(parts) < 2: + sid+=1 + wid=0 + sentence_breaks[docid][tok_id]=1 + continue + # new sentence + if (cur_tokens >= max_allowable_tokens and open_count == 0): + + sent.append("[SEP]") + all_doc_sents.append(sent) + + ents=list(ents.values()) + ents=sorted(ents, key=lambda x: (x.start, x.end)) + + named_ents=sorted(named_ents, key=lambda x: (x[0], x[1])) + sent_quotes=sorted(sent_quotes, key=lambda x: (x[0], x[1])) + + all_doc_ents.append(ents) + all_doc_named_ents.append(named_ents) + + doc_quotes.append(adjusted_quotes) + + all_doc_quotes.append(sent_quotes) + + ents={} + named_ents=[] + sent_quotes=[] + adjusted_quotes=[] + sent=[] + sent.append("[CLS]") + + cur_tokens=0 + + cur_tid=0 + + cur_batch_sid+=1 + + if len(parts) < 2: + continue + + # +1 to account for initial [CLS] + tid=cur_tid+1 + + token=parts[3] + + if token[0].lower() != token[0]: + token="[CAP] " + token.lower() + + global_id+=1 + tok_id+=1 + orig_sent_id=parts[1] + orig_token_id=parts[2] + + coref=parts[-1].split("|") + b_toks=self.tokenizer.tokenize(token) + cur_tokens+=len(b_toks) + cur_tid+=1 + + + if docid in quotes and sid in quotes[docid]: + + # see if this word ends a quote + for start_sid, start_wid, end_sid, end_wid, eid in quotes[docid][sid]["END"]: + if sid == end_sid and wid == end_wid: + inQuote=False, None, None, None, None, None + adjusted_quotes.append((lastQuoteStart[0], lastQuoteStart[1], cur_batch_sid, tid)) + + # see if this word starts a new quote + for start_sid, start_wid, end_sid, end_wid, eid in quotes[docid][sid]["START"]: + if sid == start_sid and wid == start_wid: + inQuote=True, eid, start_sid, start_wid, end_sid, end_wid + lastQuoteStart=cur_batch_sid, tid + + wid+=1 + sent.append(token) + + for c in coref: + if c.startswith("(") and c.endswith(")"): + c=re.sub("\(", "", c) + c=int(re.sub("\)", "", c)) + + ents[(tid,tid)]=Entity(tid, tid, in_quote=inQuote[0], quote_eid=inQuote[1], quote_id=len(adjusted_quotes), entity_id=c, text=' '.join(sent[tid:tid+1])) + ents[(tid,tid)].global_start=global_id + ents[(tid,tid)].global_end=global_id + + elif c.startswith("("): + c=int(re.sub("\(", "", c)) + + if c not in open_ents: + open_ents[c]=[] + open_ents[c].append((tid, global_id)) + open_count+=1 + + elif c.endswith(")"): + c=int(re.sub("\)", "", c)) + + assert c in open_ents + + start_tid, start_global_id=open_ents[c].pop() + open_count-=1 + + ents[(start_tid,tid)]=Entity(start_tid, tid, in_quote=inQuote[0], quote_eid=inQuote[1], quote_id=len(adjusted_quotes), entity_id=c, text=' '.join(sent[start_tid:tid+1])) + ents[(start_tid,tid)].global_start=start_global_id + ents[(start_tid,tid)].global_end=global_id + + ner=parts[10].split("|") + + for c in ner: + + if c.startswith("(") and c.endswith(")"): + c=re.sub("\(", "", c) + c=(re.sub("\)", "", c)) + + if (tid, tid) in ents: + ner_parts=c.split("_") + ents[(tid, tid)].ner_cat=ner_parts[1] + ents[(tid, tid)].proper=ner_parts[0] + + elif c.startswith("("): + c=(re.sub("\(", "", c)) + + if c not in open_named_ents: + open_named_ents[c]=[] + open_named_ents[c].append(tid) + + elif c.endswith(")"): + c=(re.sub("\)", "", c)) + + assert c in open_named_ents + + start_tid=open_named_ents[c].pop() + + if (start_tid, tid) in ents: + ner_parts=c.split("_") + ents[(start_tid, tid)].ner_cat=ner_parts[1] + ents[(start_tid, tid)].proper=ner_parts[0] + + return all_sents, all_ents, all_named_ents, all_antecedent_labels, all_max_words, all_max_ents, all_doc_names, sentence_breaks, all_quotes, all_docids + + + diff --git a/components/E2A-SML/booknlp/english/bert_qa.py b/components/E2A-SML/booknlp/english/bert_qa.py new file mode 100644 index 0000000..778a505 --- /dev/null +++ b/components/E2A-SML/booknlp/english/bert_qa.py @@ -0,0 +1,304 @@ +import torch +import re +import os +from booknlp.english.speaker_attribution import BERTSpeakerID +import numpy as np +import sys + +PINK = '\033[95m' +ENDC = '\033[0m' + +class QuotationAttribution: + + def __init__(self, modelFile): + + device = torch.device("cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu") + + base_model=re.sub("google_bert", "google/bert", os.path.basename(modelFile)) + base_model=re.sub("\.model$", "", base_model) + + self.model = BERTSpeakerID(base_model=base_model) + state_dict = torch.load(modelFile, map_location=device) + # Filter out unexpected keys + state_dict = {k: v for k, v in state_dict.items() if not k.startswith('bert.embeddings.position_ids')} + self.model.load_state_dict(state_dict) + self.model.to(device) + self.model.eval() + + def tag(self, quotes, entities, tokens): + + def get_base(start, end, preds): + if (start, end) in preds: + s,e=preds[(start,end)] + return get_base(s,e,preds) + + return start, end + + attributions=[None]*len(quotes) + + entity_by_position={} + for idx, (start, end, cat, text) in enumerate(entities): + entity_by_position[start, end]=idx + + texts, metas, positions, global_entity_positions, quote_indexes=self.get_representation(quotes, entities, tokens) + + x_batches, m_batches, y_batches, o_batches=self.model.get_batches(texts, metas) + + all_preds={} + quote_chain={} + + idd=0 + prediction_id=0 + + for x1, m1, y1, o1 in zip(x_batches, m_batches, y_batches, o_batches): + y_pred = self.model.forward(x1, m1) + orig, meta=o1 + predictions=torch.argmax(y_pred, axis=1).detach().cpu().numpy() + for idx, pred in enumerate(predictions): + + global_quote_id=quote_indexes[prediction_id] + + prediction=pred[0] + quote_start, quote_end=quotes[global_quote_id] + sent=orig[idx] + predval=y1["eid"][idx][prediction] + + if prediction >= len(meta[idx][1]): + prediction=torch.argmax(y_pred[idx][:len(meta[idx][1])]) + + g_start, g_end=global_entity_positions[prediction_id][prediction] + + cat,start, end, orig_text=positions[prediction_id][prediction] + + if cat == "QUOTE": + g_start, g_end=get_base(start, end, quote_chain) + + if (g_start, g_end) in entity_by_position: + quote_chain[quote_start, quote_end]=g_start, g_end + attributions[prediction_id]=entity_by_position[g_start, g_end] + else: + print("Cannot resolve quotation") + + ent_start, ent_end, lab, ent_eid=meta[idx][1][prediction] + + if ' '.join(sent[ent_start:ent_end]) == "[PAR]": + print("Problem!!!! Linked [PAR]") + sys.exit(1) + + prediction_id+=1 + + return attributions + + + + def get_representation(self, quotes, entities, tokens, doLowerCase=True): + + def convert_word(word): + if word == "[ALTQUOTE]" or word == "[PAR]" or word == "[QUOTE]": + word=word + + elif doLowerCase: + if word[0].lower() != word[0]: + word="[CAP] " + word.lower() + else: + word=word.lower() + + return word + + window=50 + + texts=[] + metas=[] + positions=[] + + global_positions=[] + + quote_indexes=[] + + end_quotes={} + + # mark the tokens that are in quotes and index quotes by their final token + in_quotes=np.zeros(len(tokens)) + for idx, (q_start, q_end) in enumerate(quotes): + end_quotes[q_end]=idx + for k in range(q_start, q_end+1): + in_quotes[k]=1 + + entities_by_start={} + for start, end, cat, text in entities: + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + + if ner_type != "PER": + continue + + if start not in entities_by_start: + entities_by_start[start]={} + entities_by_start[start][end]=1 + + for q_id, (start_tok, end_tok) in enumerate(quotes): + + start=end_tok + count=0 + wp_tok_count=0 + # go back *window* tokens, not counting tokens that are in quotes + lastPar=None + while start >= 0 and count < window and wp_tok_count + len(self.model.tokenizer.tokenize(convert_word(tokens[start].text))) < 350: + if in_quotes[start] == 0: + count+=1 + wp_tok_count+=len(self.model.tokenizer.tokenize(convert_word(tokens[start].text))) + if start in end_quotes: + wp_tok_count+=1 + if tokens[start].paragraph_id != lastPar: + wp_tok_count+=1 + lastPar=tokens[start].paragraph_id + + start-=1 + + start+=1 + + # go ahead *window* tokens, not counting tokens that are in quotes + count=0 + end=end_tok + while end < len(tokens) and count < window and wp_tok_count + len(self.model.tokenizer.tokenize(convert_word(tokens[end].text))) < 475: + if in_quotes[end] == 0: + count+=1 + wp_tok_count+=len(self.model.tokenizer.tokenize(convert_word(tokens[end].text))) + if end in end_quotes: + wp_tok_count+=1 + if tokens[end].paragraph_id != lastPar: + wp_tok_count+=1 + lastPar=tokens[end].paragraph_id + + end+=1 + + end-=1 + + if end < end_tok+1: + end=end_tok+1 + + + toks=[] + cands=[] + + lastPar=None + + inserts=np.zeros(end-start, dtype=int) + + # the offset keeps track of the difference between the original token position and the resulting token position + # (after the addition of [PAR], [QUOTE], [ALTQUOTE] pseudo-tokens, and the subtraction of tokens within quotations) + offset=0 + + # reverse map maps the resulting tokens (which include [PAR], [QUOTE] etc.) to the original position + reverse_map=[] + altquote_map={} + + for i in range(start, end): + + tok=tokens[i] + + # if we cross a sentence boundary, add a [PAR] pseudo-token and adjust the offset to keep track of these pseudo-tokens + if tok.paragraph_id != lastPar and lastPar is not None: + toks.append("[PAR]") + reverse_map.append(i) + offset+=1 + + # if the token is not in a quotation, add it to the context representation + # if it is in a quotation, decrease the offset + if not in_quotes[i]: + toks.append(tokens[i].text) + reverse_map.append(i) + else: + offset-=1 + + # if the token marks the end of the target quotation, add a [QUOTE] pseudo-token to represent the quotation in its entirety + # (note we don't include any words from within the quotation itself) + if i == end_tok: + toks.append("[QUOTE]") + reverse_map.append(i) + offset+=1 + + # if the token ends a *different* quote, add an [ALTQUOTE] pseudo-token to represent it + elif i in end_quotes: + altquote_map[len(toks)]=quotes[end_quotes[i]] + toks.append("[ALTQUOTE]") + reverse_map.append(i) + offset+=1 + + (q_start, q_end)=quotes[end_quotes[i]] + + # if the alt quote occurs *before* the target quote, add it as an attribution candidate + if q_end < end_tok: + quotepos=i+inserts[i-start-1]-start + cands.append((min(abs(q_end-start_tok), abs(q_start-end_tok)), quotepos, quotepos, None, "QUOTE", None, None)) + + # inserts keeps track of the difference between the original token position and final one + inserts[i-start]=offset + + lastPar=tok.paragraph_id + + for entity_start in range(start, end): + + if entity_start in entities_by_start: + # only allow entities not in quotes to be speaker candidates + if in_quotes[entity_start] == 0: + for entity_end in entities_by_start[entity_start]: + # the candidate entity needs to be completely contained within the context + if entity_end < end and entity_end+inserts[entity_end-start]-start < len(toks): + # cand tuple values: + # distance between the entity and the quotation (in original tokens) + # entity start position (in final tokens) + # entity end position (in final tokens) + # entity ID (here unknown) + # whether the candidate is an entity ("ENT") or alt quote ("QUOTE") + # entity start position (in original tokens) + # entity end position (in original tokens) + # print(entity_start, start, entity_end, len(inserts)) + # print(inserts[entity_start-start]) + # print(inserts[entity_end-start]) + cands.append((min(abs(entity_end-start_tok), abs(entity_start-end_tok)), entity_start+inserts[entity_start-start]-start, entity_end+inserts[entity_end-start]-start, None, "ENT", entity_start, entity_end)) + + tot_toks=0 + for tok in toks: + tot_toks+=len(self.model.tokenizer.tokenize(convert_word(tok))) + if tot_toks > 500: + raise ValueError("Quotation window is unexpectedly long: %s" % tot_toks) + + labels=[] + + abs_positions=[] + g_positions=[] + + if len(cands) > 0: + # sort the candidates by their distance to the target quote and consider only the 10 closest + cands=sorted(cands) + for dist, s, e, eid, cat, global_start, global_end in cands[:10]: + + if ' '.join(toks[s:e+1]) == "[PAR]": + # skip + continue + + labels.append((int(s),int(e+1),0, eid)) + adjusted_s=reverse_map[s] + adjusted_e=reverse_map[e] + + g_positions.append((global_start, global_end)) + + if ' '.join(toks[s:e+1]) != "[ALTQUOTE]": + # if ' '.join(toks[s:e+1]) != "[PAR]": + # if ' '.join(toks[s:e+1]) != ' '.join([t.text for t in tokens[global_start:global_end+1]]): + # print("ASSERTION\t#%s#%s#" % (' '.join(toks[s:e+1]), ' '.join([t.text for t in tokens[global_start:global_end+1]]))) + + abs_positions.append(("ENT", global_start, global_end+1, ' '.join([t.text for t in tokens[global_start:global_end+1]]))) + else: + abs_positions.append(("QUOTE", altquote_map[s][0], altquote_map[s][1], ' '.join([t.text for t in tokens[altquote_map[s][0]:altquote_map[s][1]]]))) + + index=toks.index("[QUOTE]") + texts.append(toks) + metas.append((None, labels, index)) + positions.append(abs_positions) + global_positions.append(g_positions) + quote_indexes.append(q_id) + + return texts, metas, positions, global_positions, quote_indexes + diff --git a/components/E2A-SML/booknlp/english/data/__init__.py b/components/E2A-SML/booknlp/english/data/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/E2A-SML/booknlp/english/data/aliases.txt b/components/E2A-SML/booknlp/english/data/aliases.txt new file mode 100644 index 0000000..3003810 --- /dev/null +++ b/components/E2A-SML/booknlp/english/data/aliases.txt @@ -0,0 +1,709 @@ +Abigail Abbie Abby Gail Nabby +Ada Adie +Adelaide Addie Adela Dell Della Heidi +Adele Adelle Adela Addie Dell Della +Adeline Adelina Adaline Addie Aline Dell Della +Adrienne Adriana Adie +Agatha Aggie +Agnes Aggie Ness Nessie +Aileen Eileen Alene Allie Lena +Alana Allie Lana +Alberta Allie Bertie +Albertina Albertine Allie Bertie Tina +Alexandra Alexandria Alex Alix Alexa Alla Allie Ali Lexy Sandra Sandy +Alexis Alex +Alfreda Alfie Alfy Frieda Freda Freddie Freddy +Alice Alicia Alyce Alisa Alissa Alyssa Allie Ally Ali Elsie Lisa +Alison Allison Alyson Allyson Allie Ally Ali +Althea Thea +Alvina Alvena Vina Vinnie Vinny +Amanda Mandy +Amelia Amalia Amy Millie Milly +Amy Aimee Amie +Anastasia Ana Stacy Stacey +Andrea Andy +Angela Angelica Angelina Angeline Angel Angie +Anita Ana Nita +Anna Ann Anne Ann Annie Nancy Nancie Nance Nan Nana Nanny Nanette Nannette Nina +Annabel Annabelle Anabel Ann Anna Bel Belle Bell +Annette Annetta Annie Netta Nettie Netty +Anthea Thea +Antoinette Nettie Netty Net Netta Toni Tony Toy Toi +Antonia Toni Tony Tonya Tonia +Arabella Arabel Arabelle Bel Bell Belle Bella +Arlene Arline Arleen Arlyne Lena Arly Lynn +Ashley Ash +Audrey Audra Audie Dee +Augusta Aggy Augie Gussie Gusta Gusty +Augustina Aggy Augie Gussie Gusta Gusty Ina Tina +Aurora Orrie Rori +Barbara Bab Babs Babbie Barbie Babette +Beatrice Beatrix Bea Bee Beattie Trixie Trissie Trissy +Belinda Bel Bell Belle Linda Lindy Lin Lynn +Belle Bell Bel Bella Annabel Arabella Isabel Rosabel Belinda +Berenice Bernice Bernie +Bertha Berta Bertie +Beverly Beverley Bev +Blair Blaire +Blanche Blanch +Blythe Blithe +Bonnie Bonny +Brenda Brendie Brandy +Brett Bret Bretta +Bridget Bridgette Brigid Brigit Biddie Biddy Bridie Bridey Brie Bree Brita +Brittany Brittney Britney Brit Britt Brita Brie +Camille Camilla Camile Camila Cammie Cammy Millie +Candace Candice Candy +Caren Carin Caryn Carrie +Carla Carlie Carly Caroline +Carlotta Carlota Lotta Lottie Lotty Charlotte +Carol Carole Carrol Carroll Karol Carrie Carry Caroline +Caroline Carolyn Carolina Carlyne Carline Karoline Carrie Carry Caddie Caddy Carlie Carly Callie Cally Carol Lynn Lynne Lin Lina +Cassandra Cass Cassie Cassey Casey Sandra Sandy +Catherine Cathryn Catheryn Catharine Cathleen Cat Cattie Catty Cathie Cathy Cassie Kit Kitty Kittie +Cecilia Cecillia Cecelia Cecile Cecily Cicely Cis Cissy Sissy Celia +Celeste Celie Lessie +Celestine Celestina Celie Lessie Tina +Celia Celie Cel +Celine Celina Selina +Charity Chattie Chatty Cherry +Charlene Charleen Charline Charlyne Charlie Lynn +Charlotte Lotta Lottie Lotty Lola Lo Lolita Chattie +Cheryl Cherie Cheri +Christine Christina Christiana Christian Chris Christy Christie Christa Chrissie Kit Tina +Clara Claire Clare Clair +Clarice Clarissa Clara Clare Clair +Claudia Claudine Claudette Claudie +Clemency Clem Clemmie +Clementine Clementina Clem Clemmie Tina +Colleen Coleen Lena +Constance Connie Conny Connee +Cora Cori Corrie Corey Cory +Cordelia Cordy Cori Delia +Corinne Corinna Corynne Corrine Corine Corina Cora Cori Corrie Cory +Cornelia Connie Conny Corny Cori Nell Nellie +Courtney Court Courtie +Crystal Chrystal Crys Chris +Cynthia Cindy +Daisy Daysie +Danielle Daniela Dani Danny +Daphne Daph Daphie +Darlene Darleen Darlyne Lena Darla +Deborah Debbie Debby Debra +Delia Dell Della +Delilah Dell Della Lila +Dell Della Adelaide Adele Adeline Delia Delilah +Denise Denice Denyse Denny +Diana Diane Dianne Di +Dinah Dina Di +Dolores Delores Lola Lolita Dolly +Dominique Dominica Minnie Nicki Nikki +Dora Dorrie Dori Dorothy +Doreen Dorene Dorrie +Doris Dorris Dorrie +Dorothy Dorothea Dora Dorrie Doll Dolly Dodie Dot Dottie Dotty Dee +Edith Edyth Edythe Edie Edye Dee +Edna Eddie +Elaine Alaine Helaine Ellie Elly Lainie +Eleanor Elinor Eleonora Eleonore Elenore Ella Ellie Elly Nell Nellie Nelly Nora Lally Lallie +Elisa Eliza Elisia Elissa Elise Elyse Elsa Elsie +Elizabeth Elisabeth Betty Bettie Bet Bett Bette Betta Betsy Betsey Betsi Beth Bettina Eliza Ellie Elly Ilse Liz Lizzy Lizzie Liza Lisa Lise Lisette Lizette Lisbet Lizbeth Libby +Ella Ellie Elly Nellie Nelly Eleanor Elaine Helen +Ellen Helen +Eloise Heloise Lois +Elvina Elvine Vina Vinnie Vinny +Elvira Alvira Elvie Elva +Emily Emilie Emilia Em Emmy Emmie Millie Milly +Emma Em Emm Emmy Emmie +Erica Erika Ericka Ricky Rickie +Ernestine Earnestine Erna Ernie Tina +Estella Estelle Essie Essy Stella +Esther Ester Hester Essie Essy Ettie Etty Hettie Hetty Hessy +Ethel Eth +Etta Ettie Etty Henrietta Esther Loretta Marietta +Eugenia Eugenie Gene Genie +Eulalia Eula Lally Lallie +Eunice Euny Eunie +Euphemia Euphemie Effie Effy Euphie Phemie +Eustacia Stacy Stacey Stacia +Eve Eva Evie +Eveline Evelyn Evelynne Eveleen Evelina Eve Evie Evvie Lynn +Evangeline Evangelina Eve Evie Angie Lynn +Faith Fae Fay Faye +Felicia Felicity Felice Fee Fel +Florence Flo Floy Floss Flossie Flossy Flora Florrie +Frances Fan Fannie Fanny Fran Frannie Franny Francie Francy France Frankie Franky +Francesca Francisca Fran Cesca +Francine Fan Fannie Fanny Fran Frannie Franny Francie Francy France Frankie Franky +Frederica Frederika Fredericka Freda Freddie Freddy Ricky Rickie +Gabrielle Gabriela Gabriella Gabby Gabi Gaby +Genevieve Gene Ginny Jenny Viv +Georgina Georgine Georgie Gina +Geraldine Gerry Gerrie Gerri Jerry Dina +Gertrude Gertie Trudie Trudy +Gillian Jillian Jill +Gina Regina Georgina +Gladys Glad +Glenda Glen +Gloria Glory +Goldie Goldy +Grace Gracie +Gwendolen Gwendolyn Gwen Gwenda Wendy +Hannah Hanna Ann Annie Nana Nanny +Harriet Hattie Hatty +Heather Hettie Hetty +Helen Helena Elena Ellen Nell Nellie Nelly Ellie Elly Lena Lala Lally Lallie +Henrietta Etta Ettie Etty Hettie Hetty Nettie Netty +Hester Esther +Hilary Hillary Hill Hillie Hilly +Hilda Hylda Hildie +Honora Honoria Honor Nora Norah Honey +Imogen Imogene Immy Immie +Irene Renie Rena +Irma Erma +Isabel Isabelle Isabella Bel Bell Belle Bella Issy Izzy Tibbie +Isadora Isidora Issy Izzy Dora +Jacqueline Jacquelyn Jackie Jacky +Jamesina Jamie Jayme Jaime +Jane Janie Janey Jenny Jennie Jen Janet +Janet Janette Janetta Jan Nettie Netty Netta +Janice Janis Jenice Jan +Jean Jeanne Jeanie Jeannie +Jeannette Jeannetta Jeanette Jeanie Jeannie Nettie Netty Netta +Jemima Jem Jemma Mima Mimi +Jennifer Jen Jenny Jennie Jenne +Jenny Jane Jennifer Virginia Genevieve +Jessica Jess Jessie +Jill Gillian +Joanna Joanne Joann Johanna Joan Jo Jody +Joceline Jocelyn Jo Lynn +Josephine Josepha Jo Josie Josey Jozy Jody Pheny +Joyce Joy +Judith Judy Judie Jude Jody Jodie +Julia Julie Jule +Julianne Juliana Julie Jule +Juliet Juliette Julie Jule +Justina Justine Tina +Karen Karin Karyn Kari Karrie +Katherine Katharine Kathryn Kathrine Kathrynne Katrina Kate Kathie Kathy Katie Katy Kay Katty Kattie Kit Kitty Kittie +Kathleen Kathlene Kathlyn Kathlynne Kathie Kathy Katie Katy Katty Kattie +Kelly Kellie Kelli Kelley +Kimberly Kimberley Kim +Kristina Kristin Kristine Kristen Kris Kristi Kristy Kristie Krista +Laura Laurie Lauri Lolly +Laureen Laurene Laurena Laurine Lauren Laurie +Laurel Laurie +Laverne Laverna Verna Verna +Lavinia Vina Vinnie +Leah Lea Lee Leigh +Leila Leilah Lela Lila +Lena Helen Aileen Arlene Darlene Magdalene +Leona Lee Leonie +Leonora Leonore Lenora Lenore Nora +Leslie Lesley Les +Leticia Letitia Lettie Tisha +Lillian Lilian Lily Lilly Lili Lilli Lil Lillie +Lily Lilly Lili Lilli Lil Lillie +Linda Lynda Lindy Lin Lynn Lynne +Lindsay Lindsey Lin Lynn +Lois Eloise Louise +Lona Loni Lonie Lonnie +Lora Lori Lorie Lorri Lorrie +Lorena Lorene Loreen Lorine Lori Lorie Lorri Lorrie +Loretta Lorette Lori Lorrie Etta Retta +Lorinda Laurinda Lori Lorie Lorrie Laurie +Lorraine Lorrain Loraine Lora Lori Lorie Lorrie +Lottie Lotty Lotta Charlotte Carlotta +Louise Louisa Lou Lu Lulu Lula Lois +Lucille Lucile Lu Lucy Lucky +Lucinda Lu Lucy Lucky Cindy +Lucy Lucie Luci Lucia Lu Lulu Luce Lucky Lucille Lucinda +Lydia Liddy Lyddie +Lynn Lynne Caroline Marilyn Linda Arlene Evelyn +Amabel Mabel Mabelle Mable Mab Mabs Mabbie +Madeleine Madeline Madelyn Maddie Maddy Mady +Magdalene Magdalen Magdalena Magdaline Magda Magsie Lena +Marcia Marcie Marcy Marci +Margaret Margarita Marguerite Margret Maggie Marge Margie Marjorie Margery Madge Margot Margo Magsie Maisie Daisy Mamie Maidie Mae May Meg Megan Peggy Greta Gretchen Rita +Marianne Marianna Maryann Maryanne Marian Mary Ann +Marilyn Marilynn Marylin Marlene Marlyn Mary Lynn +Maribel Maribelle Mary Bell +Marietta Mariett Mariette Mary Etta Ettie Etty +Marjorie Marjory Margery Marge Margie Margaret +Martha Marta Marty Martie Mat Mattie Matty Pat Pattie Patty +Martina Martine Marty Martie +Mary Maria Marie +Mary Mae May Moll Molly Mollie Polly Mamie Mimi Minnie +Matilda Mathilda Mat Mattie Matty Maud Maude Patty Pattie Tilda Tillie Tilly +Maud Maude Maudie Maudy Matilda +Maureen Maurene Maura Mary +Maxine Max Maxie +Megan Meg Margaret +Melanie Melany Mel Mellie +Melinda Mel Mellie Linda Mindy +Melissa Mel Mellie Missie Missy Lisa Lissa +Mercedes Mercy Sadie +Meredith Merry +Michelle Michele Mickey Shelly +Mildred Millie Milly +Millicent Milicent Melicent Millie Milly +Minnie Minna Mina Wilhelmina Mary +Mirabel Mirabella Mira Bella +Miranda Randy +Miriam Myriam Mimi Miri Mira +Moira Moyra +Molly Mollie Moll Polly Mary +Monica Nicki +Myra Mira +Nadine Nada Dee +Natalie Nathalie Natalia Natasha Nattie Natty +Nancy Anna +Nell Nelle Nellie Nelly Eleanor Helen Cornelia +Nettie Netty Netta Annette Antoinette Henrietta Janet Jeannette +Nicki Dominique Monica Nicole Veronica +Nicole Nicky Nicki Nikki Nikky +Nina Anna +Noel Noelle Elle +Nora Norah Norrie Norry +Nora Eleanor Leonora Noreen Honora +Noreen Norene Nora +Norma Normie +Octavia Tave Tavy Tavia +Olive Olivia Ollie Olly Nollie Liv Livvy Livia +Pamela Pam Pammie Pammy +Patricia Pat Patty Patti Pattie Patsy Tricia Trisha Trish Trissie Trissy +Paula Paulina Pauline Paulie +Pearl Pearlie +Peggy Peg Margaret +Penelope Pen Penny +Phoebe Phebe Pheb +Phyllis Phyl Phyllie Phil +Polly Mary Molly +Priscilla Prissy +Prudence Prudie Prudy Prue Pru +Rachel Rachie Rae Ray Rache +Raquel Kelly Kellie +Rebecca Rebekah Becky Beckie Becca Beck Reba +Regina Reggie Ray Gina Ginny Rena +Renata Nata Natie Rennie Renny Renae +Renee Renata +Rhoda Rodie +Roberta Robbie Robby Robin Robyn Bobbie Bobby Berta Bertie +Rose Rosa Rosie Rosy +Rosabel Rosabelle Rosabella Rose Rosie Rosy Bell +Rosalie Rosalee Rose Rosie Rosy +Rosaline Rosalyn Rose Rosie Rosy +Rosalind Rosalinda Rose Rosie Rosy Linda +Roseanna Rosanna Rosanne Rose Rosie Rosy +Rosemary Rosemarie Rose Rosie Rosy +Rowena Rona Ronie +Roxanne Roxanna Roxana Roxie Roxy +Ruby Rubina Ruby Rubie +Ruth Ruthie +Sabrina Brina Sabby +Samantha Sam Sammie Sammy +Sarah Sara Sal Sally Sallie Sadie +Selina Selena Selene Celine Celina Celena Lena Lina +Selma Selmie +Shannon Shanon +Sharon Sharron Sharen Sharyn Shari Sharrie +Shauna Shawna Sheena +Shelley Shelly Shellie +Shirley Shirlee Shirlie Shirl +Sibyl Sybil Sibylle Sybill Syble Sib Sibbie Sibby +Sidney Sydney Sid Syd +Sonia Sonya +Sophia Sophie Sophy +Stacy Stacey Stacie Staci Anastasia Eustacia +Stephanie Stephany Stephania Stephana Stefanie Stefania Stefana Steffanie Steph Stephie Steff Steffy Stevie +Stella Estelle +Susan Susanna Susannah Susanne Suzanne Sue Susie Susi Susy Suzie Suzy Sukie +Sylvia Silvia Syl Sylvie +Tabitha Tabby +Tamara Tamar Tammy Tammie +Tanya Tania +Teresa Theresa Therese Terry Terri Teri Terrie Tess Tessa Tessie Tracy Trissie Trissy +Theodora Dora Theo +Tiffany Tiff Tiffy +Tina Christine +Tracy Tracey Tracie Traci Teresa +Ulrica Ulrika +Ursula Ursa Ursie Sulie +Valentina Val Vallie +Valerie Valery Valeria Val Vallie +Vanessa Van Vannie Vanna Nessa Essa +Verna Laverne +Veronica Nicky Nicki Ronnie Ronni Ronny +Victoria Vic Vick Vickie Vicky Vicki Viki Vikki +Viola Vi +Violet Violette Violetta Vi Lettie +Virginia Ginger Ginny Jinny Jenny Virgie +Vivian Vivien Viv +Wendy Gwendolen +Wilhelmina Willa Wilma Willie Billie Mina Minnie +Winifred Winnie Freda Freddie +Yolanda Yolande +Yvonne Vonnie Vonna +Yvette Vettie Vetta +Zoe Zoey +Aaron Aron Ron Ronnie Ronny +Abel Abe Abie +Abner Ab Abbie +Abraham Abram Abe Abie Bram +Adam Ad Addie Addy Ade +Adelbert Adalbert Ad Ade Al Bert Bertie Del +Adrian Ade +Alan Allan Allen Al +Albert Al Bert Bertie +Alexander Al Alex Alec Aleck Lex Sandy Sander +Alfred Al Alf Alfie Fred Freddie Freddy +Algernon Algie Algy Alger +Alister Allister Alistair Alastair Alaster Al +Alonso Alonzo Al Lon Lonnie Lonny +Alphonso Alfonso Al Alf Alfie Alonso Lon +Alva Alvah Alvan Al +Alvin Alwin Alwyn Al Vin Vinny Win +Ambrose Ambie Brose +Andrew Andy Drew +Angus Gus +Anselm Ansel Anse +Anthony Antony Anton Tony +Archibald Arch Archie Baldie +Arnold Arnie +Arthur Art Artie +Augustus August Augie Gus Gussy Gust Gustus +Augustine Augustin Augie Austin Gus Gussy Gust +Austin Augustine +Avery Avy +Baldwin Baldie Win +Barrett Barry Barrie +Bartholomew Bart Barty Bartlett Bartley Bat Batty +Basil Baz Basie +Benedict Ben Bennie Benny +Benjamin Ben Bennie Benny Benjy Benjie +Bennet Bennett Ben Bennie Benny +Bernard Barnard Bernie Berney Barney Barnie +Bert Bertie Albert Adelbert Bertram Delbert Egbert Elbert Gilbert Herbert Hubert Lambert Osbert Robert Wilbert +Berthold Bert Bertie +Bertram Bertrand Bert Bertie +Bill Billy Billie William Willis +Bradford Brad Ford +Bradley Brad +Brandon Branden Brand Brandy +Brenton Brent +Bret Brett +Brian Bryan Bryant +Broderick Brodie Brody Brady Rick Ricky +Burton Burt +Byron Ron Ronnie Ronny +Caleb Cal +Calvin Cal Vin Vinny +Cameron Cam Ron Ronny +Carey Cary Carry +Carl Karl +Carol Carrol Carroll +Casey Kasey +Caspar Casper Cas Cass +Cassius Cas Cass +Cecil Cis +Cedric Ced Rick Ricky +Charles Charlie Charley Chuck Chad Chas +Chester Chet +Christian Chris Christy Kit +Christopher Kristopher Chris Kris Cris Christy Kit Kester Kristof Toph Topher +Clarence Clare Clair +Clare Clair +Clark Clarke +Claude Claud +Clayton Clay +Clement Clem +Clifford Cliff Ford +Clinton Clint +Colin Collin Cole +Conrad Con Connie Conny +Corey Cory +Cornelius Connie Conny Corny Corney Cory +Curtis Curt +Cyril Cy +Cyrus Cy +Daniel Dan Danny +Darrell Darrel Darryl Daryl Darry +David Dave Davey Davie Davy +Dean Deane +Delbert Del Bert Bertie +Dennis Denis Den Denny +Derek Derrick Rick Ricky +Desmond Des +Dexter Dex +Dominic Dominick Domenic Domenick Dom Nick Nicky +Don Donnie Donny +Donald Don Donnie Donny +Donovan Don Donnie Donny +Douglas Douglass Doug +Drew Andrew +Duane Dwayne +Dudley Dud Duddy +Duncan Dunny Dunk +Dustin Dusty +Dylan Dillon +Earl Earle +Edgar Ed Eddie Eddy Ned +Edmund Edmond Ed Eddie Eddy Ned Ted +Edward Ed Eddie Eddy Ned Ted Teddy +Edwin Ed Eddie Eddy Ned +Egbert Bert Bertie +Elbert El Bert Bertie +Eldred El +Elijah Elias Eli Lige +Elliot Elliott El +Ellis El +Elmer El +Elton Alton El Al +Elvin Elwin Elwyn El Vin Vinny Win +Elvis El +Elwood El Woody +Emery Emmery Emory Em +Emil Emile Em +Emmanuel Emanuel Immanuel Manuel Manny Mannie +Emmet Emmett Em +Eric Erik Erick Rick Ricky +Ernest Earnest Ernie +Ervin Erwin Irvin Irvine Irving Irwin Erv Vin Win +Eugene Gene +Eustace Stacy Stacey +Evan Ev +Everard Ev +Everett Ev +Fabian Fabe Fab +Felix Lix +Ferdinand Ferdie Fred Freddie +Fergus Ferguson Fergie +Floyd Floy Lloyd +Ford Bradford Clifford Sanford +Francis Frank Frankie Franky Fran +Franklin Franklyn Frank Frankie Franky +Frederick Frederic Fredrick Fredric Fred Freddie Freddy Rick Ricky +Fred Freddie Alfred Frederick Wilfred Winfred +Gabriel Gabe Gabby +Garrett Garret Gary Garry +Geoffrey Jeffrey Jeffery Jeff +George Georgie Geordie +Gerald Gerard Gerry Jerry +Gilbert Gil Bert +Glenn Glen +Gordon Gordy Don +Gregory Gregor Greg Gregg +Griffith Griffin Griff +Harold Hal Harry +Harris Harrison Harry +Harvey Harve +Henry Harry Hank Hal +Herbert Herb Bert Bertie +Herman Manny Mannie +Hilary Hillary Hill Hillie Hilly +Horace Horatio +Howard Howie +Hubert Hugh Bert Bertie Hube +Hugh Hughie Hugo +Humphrey Humphry Humph +Ignatius Iggy Nate +Immanuel Manny Mannie Emmanuel +Irvin Irvine Irving Irwin Ervin +Isaac Isaak Ike +Isidore Isidor Isadore Isador Izzy +Jack Jackie Jacky John +Jacob Jake Jay +James Jim Jimmy Jimmie Jamie Jem +Jared Jerry +Jarvis Jervis Jerry +Jason Jay +Jasper Jay +Jefferson Jeff +Jeffrey Jeffery Geoffrey Jeff +Jeremy Jeremiah Jerry +Jerome Jerry +Jesse Jess Jessie Jessy +Joel Joe +John Jack Jackie Jacky Johnny +Jonathan Jon Jonny +Joseph Joe Joey Jo Jos Jody +Joshua Josh +Judson Jud Sonny +Julian Julius Jule Jules +Justin Jus Just +Karl Carl +Kelly Kelley +Kelvin Kel Kelly +Kendall Ken Kenny +Kendrick Ken Kenny Rick Ricky +Kenneth Ken Kenny +Kent Ken Kenny +Kevin Kev +Kristopher Kristofer Kris Kit Kester Christopher +Kurt Curt +Lambert Bert +Lamont Monty Monte +Lancelot Launcelot Lance +Laurence Lawrence Lorence Lorenzo Larry Lars Laurie Lawrie Loren Lauren +Lee Leigh +Leo Leon Lee +Leonard Leo Leon Len Lenny Lennie +Leopold Leo Poldie +Leroy Leeroy Lee Roy +Leslie Lesley Les +Lester Les +Lewis Lew Lewie +Lincoln Lin Linc Lynn +Lindon Lyndon Lin Lynn +Lindsay Lindsey Lin Lynn +Lionel Leo Leon +Llewellyn Llew Lyn +Lloyd Loyd Loyde Floyd Loy Floy +Lonnie Lonny Alonso +Louis Lou Louie +Lowell Lovell +Lucian Lucius Lu Luke +Luke Lucas Luke +Luther Loot Luth +Lyle Lyall +Malcolm Mal Malc Mac +Manuel Manny Mannie Emmanuel +Mark Marc Marcus Mark Marc +Marshall Marshal +Martin Mart Marty +Marvin Mervin Marv Merv +Matthew Matt Mat Matty Mattie +Matthias Matt Mat Matty Mattie +Maurice Morris Morry Morey Moe +Maximilian Max +Maxwell Max +Melvin Mel +Merlin Merle +Merrill Merril Merill +Michael Mike Mikey Mick Mickey Micky +Miles Myles Milo +Milton Milt +Mitchell Mitch +Monroe Munroe +Montague Monty Monte +Montgomery Monty Monte +Morgan Mo +Mortimer Mort Morty +Morton Mort Morty +Moses Mo Moe Mose Moss +Murray Murry +Nathan Nathaniel Nat Nate Natty +Neal Neil +Nelson Nel Nell Nels +Nevill Nevil Nevile Neville Nev +Newton Newt +Nicholas Nicolas Nick Nicky Nicol Cole Colin +Nigel Nige +Noel Nowell +Norbert Bert +Norris Nor Norrie +Norman Norm Normie Nor Norrie +Norton Nort +Oliver Ollie Noll Nollie Nolly +Orville Orv Ollie +Osbert Ossy Ozzie Ozzy Bert +Osborn Osborne Ossy Ozzie Ozzy +Oscar Os Ossy +Osmond Osmund Ossy Ozzie Ozzy +Oswald Oswold Os Ossy Oz Ozzie Ozzy +Patrick Pat Paddy Patsy +Paul Pauly +Percival Perceval Percy Perce +Peter Pete Petie Petey +Philip Phillip Phil Pip +Quentin Quintin Quenton Quinton Quinn +Quincy Quincey Quinn +Ralph Raff Rafe Ralphy +Randall Randal Rand Randy +Randolph Rand Randy Dolph +Raphael Rafael Raff Rafe +Raymond Raymund Ray +Reginald Reg Reggie Renny Rex +Reuben Ruben Rubin Rube Ruby +Reynold Ray +Richard Dick Rick Ricky Rich Richie +Rick Ricky Cedric Derek Eric Frederick Richard Roderic Broderick Kendrick +Robert Bob Bobbie Bobby Dob Rob Robbie Robby Robin Bert +Roderic Roderick Rod Roddy Rick Ricky +Rodney Rod Roddy +Roger Rodger Rod Roddy Rodge Roge +Roland Rowland Rolly Roly Rowly Orlando +Rolph Rolf Rolfe Rudolph +Roman Rom Romy +Ronald Ron Ronnie Ronny +Ron Ronnie Ronny Aaron Byron Cameron Ronald +Roscoe Ross +Rudolph Rudolf Rudy Rolf Rolph Dolph Dolf +Rufus Rufe +Russell Russel Russ +Samson Sampson Sam Sammy +Samuel Sam Sammy +Sanford Sandy Ford +Scott Scotty +Sean Shaun Shawn Shane +Sebastian Seb Bass +Seymour Morey Sy +Shannon Shanon +Sheldon Shelly Shel Don +Shelley Shelly Shellie Shel +Shelton Shelly Shel Tony +Sidney Sydney Sid Syd +Silas Si Sy +Silvester Sylvester Syl Vester +Simeon Sim Simie Simmy +Simon Si Sy Sim Simie Simmy +Solomon Sol Solly Sal +Sonny Son +Stacy Stacey Eustace +Stanley Stan +Stephen Steven Stephan Steffan Stefan Steve Stevie Steph Steff Stef +Stuart Stewart Stu Stew +Terence Terrence Terrance Terry +Thaddeus Thadeus Tad Thad +Theodore Theodor Ted Teddy Theo Terry +Thomas Tom Tommy +Timothy Tim Timmy +Tobias Toby Tobi Tobie +Tony Anthony +Tracy Tracey +Travis Trav +Trenton Trent +Trevor Trev +Tristram Tristam Tristan Tris +Tyler Ty +Tyrone Tyron Ty +Ulysses Uly Uli Lyss +Uriah Urias Uri Uria +Valentine Valentin Val +Valerian Valerius Val +Vance Van +Vaughan Vaughn +Vernon Vern Verne +Victor Vic Vick +Vincent Vince Vin Vinny +Virgil Vergil Virge +Wallace Wallis Wally Wallie +Walter Walt Wally Wallie +Wesley Wes +Wendell Dell Del +Wilbert Will Willie Willy Bert +Wilbur Wilber Will Willie Willy +Wiley Will Willie Willy +Wilfred Wilfrid Will Willie Willy Fred Freddie Freddy +Willard Will Willie Willy +William Bill Billy Billie Will Willie Willy Liam +Willis Bill Billy Billie Will Willie Willy +Wilson Will Willie Willy +Winfred Winfrid Win Winnie Winny Fred Freddie Freddy +Winston Win Winnie Winny +Woodrow Wood Woody +Xavier Zave +Zachary Zachariah Zacharias Zack Zacky Zach +Babe Ruth The Great Bambino +Eddard Ned +Huckleberry Huck Hucky \ No newline at end of file diff --git a/components/E2A-SML/booknlp/english/data/entity_cat.tagset b/components/E2A-SML/booknlp/english/data/entity_cat.tagset new file mode 100644 index 0000000..5161b15 --- /dev/null +++ b/components/E2A-SML/booknlp/english/data/entity_cat.tagset @@ -0,0 +1,37 @@ +B-PROP_PER 0 +I-PROP_PER 1 +B-NOM_PER 2 +I-NOM_PER 3 +B-PRON_PER 4 +I-PRON_PER 5 +B-PROP_FAC 6 +I-PROP_FAC 7 +B-NOM_FAC 8 +I-NOM_FAC 9 +B-PRON_FAC 10 +I-PRON_FAC 11 +B-PROP_LOC 12 +I-PROP_LOC 13 +B-NOM_LOC 14 +I-NOM_LOC 15 +B-PRON_LOC 16 +I-PRON_LOC 17 +B-PROP_GPE 18 +I-PROP_GPE 19 +B-NOM_GPE 20 +I-NOM_GPE 21 +B-PRON_GPE 22 +I-PRON_GPE 23 +B-PROP_ORG 24 +I-PROP_ORG 25 +B-NOM_ORG 26 +I-NOM_ORG 27 +B-PRON_ORG 28 +I-PRON_ORG 29 +B-PROP_VEH 30 +I-PROP_VEH 31 +B-NOM_VEH 32 +I-NOM_VEH 33 +B-PRON_VEH 34 +I-PRON_VEH 35 +O 36 diff --git a/components/E2A-SML/booknlp/english/data/gutenberg_prop_gender_terms.txt b/components/E2A-SML/booknlp/english/data/gutenberg_prop_gender_terms.txt new file mode 100644 index 0000000..ac9320a --- /dev/null +++ b/components/E2A-SML/booknlp/english/data/gutenberg_prop_gender_terms.txt @@ -0,0 +1,163700 @@ +term proper he/him/his she/her they/them/their +holly golightly prop 0.083 1.659 0.002 +joe bell prop 12.440 0.169 0.000 +holly prop 0.000 89.503 6.542 +“ prop 569.465 17.340 43.282 +y. yunioshi prop 0.952 0.000 0.000 +mr. yunioshi prop 6.170 0.000 0.000 +winchell prop 7.604 0.000 1.337 +madame sapphia spanella prop 0.000 2.173 0.000 +miss holiday golightly prop 0.000 0.000 0.000 +miss golightly prop 0.000 4.028 0.662 +harry prop 1500.981 83.980 117.715 +sid prop 231.144 10.332 11.701 +sid arbuck prop 0.000 0.000 0.000 +mr. arbuck prop 0.200 0.622 0.000 +mr. arbuck … prop 1.282 0.000 0.000 +cole porter prop 7.492 0.439 0.004 +kurt weill prop 0.000 0.335 0.000 +fred prop 616.647 39.965 64.725 +saroyan prop 0.752 0.000 0.000 +hemingway prop 30.632 4.274 1.014 +w. somerset maugham prop 0.570 0.000 0.000 +benny shacklett prop 0.000 2.039 0.103 +poor prop 189.946 187.907 3.344 +sally prop 69.148 1631.224 125.889 +sally tomato prop 1.565 0.000 0.000 +bergdorf prop 0.000 0.743 0.000 +mr. o’shaughnessy prop 0.000 0.000 0.000 +friday prop 3.384 0.035 2.002 +charles prop 1633.298 118.157 153.110 +p.s. prop 0.945 0.004 2.617 +sing sing prop 0.000 0.000 0.000 +benny polan prop 0.000 2.198 0.000 +benny prop 99.001 8.175 0.006 +seconals prop 0.000 0.000 0.521 +luise rainer prop 0.000 0.237 0.000 +rainer prop 0.000 0.237 0.000 +dr. wassell prop 0.789 0.342 0.000 +o.j. berman prop 3.158 0.976 0.000 +margaret sullavan prop 0.000 0.582 0.000 +cecil b. demille prop 1.289 1.178 0.000 +gary cooper prop 3.348 1.223 2.103 +jesus prop 806.558 76.159 82.153 +rusty trawler prop 1.233 1.512 0.828 +o.j. prop 6.298 0.000 0.000 +david o. selznick prop 0.000 0.000 0.000 +rusty prop 67.517 0.072 6.761 +rutherfurd prop 0.634 0.000 0.000 +rusty ” prop 0.788 0.000 0.000 +trawler prop 0.788 0.000 0.000 +father divine prop 0.416 0.000 0.000 +mrs. trawler prop 0.615 0.743 0.000 +unity mitford prop 0.000 1.353 0.000 +hitler prop 91.550 10.802 30.844 +the boston golightlys prop 0.000 0.000 0.000 +doctor wassell prop 0.320 0.255 0.000 +berman prop 5.386 3.127 0.004 +tiffany prop 4.659 9.832 1.588 +maria ouspenskaya prop 0.000 0.000 0.000 +god prop 3836.000 624.811 450.597 +mr. trawler prop 0.929 0.007 0.000 +yunioshi prop 0.000 0.393 0.000 +mag wildwood prop 0.000 3.926 0.370 +stork prop 0.000 0.000 0.000 +miss wildwood prop 0.286 0.000 0.000 +mag prop 2.167 96.954 6.995 +sugar prop 25.462 8.448 5.083 +papadaddy wildwood prop 0.000 0.000 0.000 +josé prop 76.280 18.835 32.153 +p prop 1.430 1.931 0.000 +argyles prop 0.000 0.586 0.000 +cleopatra prop 0.249 24.829 5.278 +josé ybarra - jaegar prop 1.351 0.038 0.000 +ybarra - jaegar prop 0.720 0.000 0.002 +mildred grossman prop 0.000 0.000 1.417 +mildred prop 10.457 844.119 29.281 +dearest mag prop 0.000 0.000 0.000 +rio prop 0.000 0.888 0.085 +havana prop 1.478 0.000 0.000 +negro prop 0.000 0.000 1.000 +mr. berman prop 0.409 0.000 0.000 +madame spanella prop 0.000 4.190 0.000 +doc golightly prop 1.337 0.000 0.000 +lulamae prop 1.743 6.129 0.000 +plain prop 0.558 1.469 0.000 +nellie prop 0.314 66.790 3.538 +’em prop 76.341 4.226 281.334 +mrs. golightly prop 0.000 1.036 0.000 +doc prop 597.914 5.420 21.733 +gosh prop 1.237 0.000 1.553 +mr. bell prop 7.893 1.211 1.757 +” prop 113.483 6.806 32.681 +rusty ” trawler prop 0.000 0.000 0.000 +mckendrick prop 0.000 0.000 0.000 +miss margaret thatcher fitzhue wildwood prop 0.000 0.000 0.000 +dr. goldman prop 8.664 0.223 0.000 +bernet prop 0.000 0.349 0.000 +william randolph hearst prop 3.848 1.805 0.000 +nero prop 117.912 0.000 2.452 +honey tucker prop 0.000 0.000 0.462 +rose ellen ward prop 0.000 0.000 0.462 +nehru prop 1.429 0.120 0.000 +wendell willkie prop 0.000 0.000 0.000 +garbo prop 0.000 7.546 0.000 +man o ’ war prop 0.000 0.000 0.000 +mabel minerva prop 0.000 0.000 0.000 +mr. tomato prop 0.721 0.000 0.000 +old sally prop 0.133 0.369 0.000 +o’shaughnessy prop 4.885 3.428 0.000 +frick prop 0.000 0.000 1.023 +darling prop 29.794 73.483 6.835 +d.a. prop 3.808 0.000 0.000 +salvatore prop 35.254 0.000 2.186 +sally ” tomato prop 0.000 0.200 0.000 +patrick connor prop 0.000 0.200 0.000 +sheilah fezzonetti prop 0.000 0.200 0.000 +l. prop 0.000 6.312 0.000 +r. prop 8.758 0.000 0.000 +oliver prop 1001.770 72.241 99.076 +gorgeous prop 0.001 1.196 0.000 +oliver o’shaughnessy prop 1.000 0.000 0.000 +district prop 1.441 2.621 0.000 +frank l. donovan prop 0.000 0.000 0.000 +rutherfurd trawler prop 0.304 0.000 0.000 +tomato prop 0.000 1.224 0.000 +sloan prop 50.461 19.865 7.277 +holly ’s prop 1.052 0.992 0.000 +madame prop 5.706 141.394 6.456 +spanella prop 0.000 0.312 0.000 +mr prop 20.396 0.000 0.000 +iggy fitelstein prop 0.000 0.000 0.000 +iggy prop 0.000 0.642 0.738 +mr. ybarra - jaegar prop 0.371 0.000 0.000 +miss h. golightly prop 0.000 0.000 0.000 +— josé prop 0.000 0.000 0.000 +buster prop 89.039 13.560 6.104 +miss dykeroo prop 0.000 0.000 0.615 +maude prop 0.000 151.528 3.832 +sister kenny prop 0.209 0.000 0.000 +old prop 340.337 14.093 5.434 +mr. frank e. campbell prop 0.000 0.000 0.000 +cookie prop 15.625 17.043 2.968 +carey prop 12.188 0.000 0.000 +tomato ’s prop 0.000 0.000 0.000 +quaintance smith prop 0.379 0.000 0.000 +am prop 0.000 0.861 0.000 +ottilie prop 0.000 51.423 2.612 +mr. jamison prop 1.067 2.158 0.000 +baby prop 3.845 33.034 1.579 +rosita prop 0.000 9.889 1.855 +the houngan prop 1.062 0.676 0.059 +royal prop 245.416 19.953 29.085 +royal bonaparte prop 0.720 0.000 0.000 +juno prop 0.185 14.173 0.021 +old bonaparte prop 0.000 6.774 0.000 +bonaparte prop 331.092 11.760 7.227 +mr. schaeffer prop 41.590 0.000 0.000 +pick axe prop 0.802 0.000 0.190 +goober prop 0.208 0.000 0.000 +pick prop 0.208 0.000 0.000 +axe prop 1.450 0.000 0.000 +cap’n prop 7.546 0.561 0.000 +schaeffer prop 2.720 0.000 0.000 +tico feo prop 20.070 0.120 2.835 +tico prop 1.900 2.128 0.001 +feo prop 0.932 0.556 0.920 +charlie prop 1158.383 57.989 93.795 +wink prop 2.505 0.705 1.920 +bing crosby prop 5.203 0.001 0.000 +frederico prop 0.409 0.107 0.000 +armstrong prop 37.922 0.000 2.125 +mister armstrong prop 0.500 0.000 0.000 +imagine prop 0.000 0.000 0.000 +buddy prop 101.898 1.432 21.193 +queenie prop 0.165 20.238 0.762 +august prop 46.049 1.680 5.652 +mr. haha jones prop 0.997 0.000 0.000 +mr. haha prop 1.133 0.000 0.000 +haha prop 0.000 1.328 0.000 +mrs. haha prop 0.000 0.000 0.000 +president roosevelt prop 6.211 1.273 1.674 +mrs. j. c. lucey prop 0.000 0.000 0.000 +abner packer prop 0.626 0.000 0.000 +young prop 323.766 7.806 12.680 +mr. wiston prop 0.000 0.000 0.000 +white prop 51.052 1.926 2.921 +cousin prop 40.638 42.664 6.721 +kate prop 229.846 1659.839 87.708 +uncle charlie prop 0.000 0.611 0.000 +mrs. roosevelt prop 0.088 1.443 1.199 +this prop 72.010 29.524 0.806 +jim macy prop 0.000 0.579 0.000 +simpson prop 14.132 0.936 5.953 +ruth prop 155.087 2035.935 168.030 +aunt amanda prop 0.000 3.135 0.000 +amanda prop 65.067 623.443 9.392 +mathilda prop 38.103 235.303 6.809 +mattie prop 10.135 74.026 0.124 +miss starkey prop 0.515 0.145 0.000 +dr. nichols prop 2.330 0.000 0.000 +eliza fox prop 0.000 0.000 0.000 +eliza prop 0.268 85.073 11.856 +frances patterson prop 0.000 0.000 0.908 +heinzelman prop 0.000 0.000 0.000 +mary louise lindgren prop 0.000 1.815 0.000 +mandy prop 10.549 173.986 7.928 +harry stoltz prop 0.644 0.000 0.000 +george prop 2925.179 138.030 252.212 +mary louise prop 0.000 17.974 1.073 +george lindgren prop 0.000 0.787 0.000 +mary prop 202.915 2499.189 217.304 +louise prop 25.436 787.718 54.916 +netty klefstaad prop 0.000 0.000 0.000 +ramona mueller prop 0.000 0.563 0.000 +bobby weiss prop 0.000 0.000 0.000 +mrs. jungbluth prop 0.000 0.881 0.000 +mrs. tully prop 0.000 15.097 0.508 +mrs. manigold prop 0.000 0.001 0.566 +taylor prop 137.139 3.891 14.036 +carl prop 711.492 31.369 29.983 +the jungbluths prop 0.000 0.153 0.359 +joe tully prop 6.386 0.025 0.000 +joe prop 1696.004 166.452 151.109 +ruthie prop 0.033 84.810 2.904 +aunt mandy prop 0.000 19.992 0.005 +mr. kuhtz prop 0.304 0.000 0.000 +mrs. kuhtz prop 0.486 0.902 0.451 +cyrus prop 66.545 23.615 6.036 +1919—woman prop 0.000 0.500 0.000 +mrs. carl neumann prop 0.000 1.294 0.000 +miss amanda starkey prop 0.000 0.360 0.000 +1919—missing prop 0.000 0.000 0.000 +woman prop 0.000 1.311 1.476 +found drowned prop 0.000 0.000 0.000 +mr. c. j. owens prop 2.000 0.000 0.000 +arthur prop 649.273 137.835 45.030 +mrs. neumann prop 0.589 0.206 0.000 +1919—funeral prop 0.000 0.000 0.000 +carl neumann prop 0.786 0.000 0.000 +amanda starkey prop 0.000 0.000 0.000 +ruthie carl prop 0.000 0.408 0.000 +hansel prop 4.795 0.000 0.730 +gretel prop 0.000 11.953 5.334 +margaret schwann prop 0.000 0.000 0.491 +harriet lander prop 0.000 0.321 0.170 +will audley prop 0.000 0.321 0.170 +fritz kienast prop 0.000 0.321 0.170 +margaret prop 50.782 873.684 38.086 +harriet prop 29.202 405.492 16.308 +will prop 1993.166 47.699 88.883 +rudy prop 54.660 20.174 20.787 +amanda mama prop 0.000 0.000 0.859 +baecke prop 0.000 1.947 0.000 +joseph prop 664.866 23.082 53.275 +the tullys prop 0.000 0.000 0.000 +trudy prop 9.700 20.623 0.409 +miss sizer prop 0.000 0.000 0.000 +mrs. zinda prop 0.000 0.000 0.000 +itchy prop 0.000 0.753 1.249 +ruth sapphira neumann prop 0.000 0.820 0.000 +starkey prop 3.262 0.000 0.000 +frenchie prop 3.005 2.317 0.000 +n't prop 10.804 12.467 1.278 +sims prop 36.796 0.000 0.229 +mckinley prop 13.434 0.000 0.742 +pete mckinley prop 0.000 0.000 0.973 +henny sims prop 1.250 0.000 0.000 +tot prop 0.641 0.000 0.000 +henny prop 15.538 3.803 0.000 +rudy'll prop 0.000 0.605 0.000 +ho prop 3.662 0.000 3.926 +ramona prop 0.003 74.442 0.000 +amy prop 40.875 1335.487 60.742 +mr. owens prop 8.120 0.048 0.000 +clement owens prop 7.213 0.000 1.901 +clement prop 40.505 2.738 0.024 +mrs. alberti prop 0.000 0.000 0.000 +lucy prop 235.809 1330.191 72.616 +henry prop 1367.934 72.074 99.920 +trina eschinger prop 0.000 0.321 0.000 +cowslip prop 0.000 0.345 0.000 +parsley prop 0.003 0.342 0.000 +suzanna prop 0.013 6.228 0.017 +randolph prop 36.233 1.111 3.050 +private buckle prop 1.514 0.000 0.000 +buckle prop 1.281 0.000 0.000 +owens prop 139.461 0.000 33.240 +owen prop 349.375 33.871 16.086 +custard prop 7.672 0.000 0.000 +the manigolds prop 0.000 0.306 0.000 +zimmerman prop 43.050 0.000 0.899 +stuart prop 291.337 55.812 19.677 +charles bo - gusewski prop 0.000 0.000 0.000 +peter halliday prop 0.000 0.000 0.000 +peter prop 4189.117 241.988 308.810 +ronald faculjak prop 0.629 0.000 0.000 +thea martins prop 0.001 0.972 0.000 +thea prop 66.102 906.967 13.158 +jennie gerhardt prop 0.923 0.218 0.223 +theresa owens prop 0.000 1.359 0.896 +theresa prop 7.289 125.575 20.348 +dawn prop 44.272 158.839 21.918 +the schumachers prop 0.288 0.398 0.000 +the koches prop 0.262 0.000 0.000 +the steinmans prop 0.262 0.000 0.000 +maynard prop 28.563 0.002 2.608 +avis prop 0.710 11.180 0.125 +avis owens prop 0.000 0.000 0.000 +a prop 82.072 13.799 0.055 +mrs. herman kessler prop 0.000 0.000 0.000 +mrs. kessler prop 0.724 1.529 0.443 +mrs. jones prop 1.363 15.123 7.989 +herman prop 77.580 0.213 11.272 +meta kunkel prop 0.000 0.944 0.000 +meta prop 0.000 9.052 0.000 +goodness prop 4.183 6.114 3.038 +charlotte prop 4.716 203.123 3.469 +the kesslers prop 0.000 3.265 0.000 +florence kessler prop 0.000 0.350 0.000 +alice jones prop 0.000 0.700 0.000 +pastor jensen prop 0.342 0.000 0.000 +hilda grossman prop 0.342 0.000 0.000 +hilda prop 3.618 128.520 6.601 +tomahawk prop 0.878 0.000 0.000 +grandmother prop 3.028 11.773 0.781 +mama prop 5.293 50.011 0.000 +mr. pucci prop 0.000 0.500 0.000 +thekla manigold prop 0.000 0.000 0.000 +klein prop 30.207 0.000 4.878 +mrs. lindgren prop 0.000 1.953 2.186 +thekla prop 0.000 1.423 0.000 +clara gutenkunst prop 0.000 0.000 0.000 +ida brummer prop 0.500 0.000 0.000 +leota prunerstorfen prop 0.000 0.000 0.000 +hattie prop 3.165 1.200 0.000 +hattie jensen prop 0.000 1.987 1.814 +dolly prop 23.125 459.186 25.830 +albertina prop 0.000 0.613 0.000 +clara prop 20.271 174.740 9.213 +ida prop 22.143 109.145 10.708 +mrs. jensen prop 0.000 0.000 0.000 +ruth neumann prop 0.000 1.539 0.003 +leota prop 0.000 1.877 0.385 +dolly brennan prop 0.000 0.925 0.000 +imogene prop 2.370 202.507 11.590 +queen prop 5.739 2.068 1.195 +mat - tie prop 0.000 3.350 0.000 +dr. karbler prop 0.000 0.000 0.790 +pickles prop 0.000 3.924 0.000 +frieda prop 24.298 40.579 2.282 +gert prop 0.033 1.706 2.569 +manda prop 0.195 0.941 0.000 +mr. tully prop 0.000 1.721 0.000 +tully prop 88.028 3.042 16.660 +wally prop 122.765 0.000 11.114 +mr. starkey prop 1.254 0.779 0.000 +the cruel struwwelpeter prop 0.618 0.000 0.878 +mr. schmidt prop 3.325 0.000 1.038 +imogene lindgren prop 0.000 1.400 0.000 +bert weiss prop 1.000 0.000 0.000 +bert prop 226.127 32.327 48.113 +miss 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lani prop 0.206 0.328 0.000 +tutu malama prop 0.000 0.000 0.000 +us prop 0.000 1.111 0.000 +maddy jeez prop 0.000 0.602 0.000 +maddyinawetsuit prop 0.000 0.307 0.000 +poorlittlemikey prop 0.000 0.307 0.000 +exquint prop 0.290 0.000 0.000 +fury ’s prop 0.000 0.000 0.000 +star 15-ooo-00 prop 0.000 0.000 0.000 +didn’t prop 2.568 0.000 0.000 +lylmik overlord prop 0.000 0.000 0.000 +the lylmik mind prop 0.000 0.000 0.000 +the quincunx prop 0.000 0.000 0.000 +young illusio prop 0.000 0.817 0.000 +satsuma prop 0.024 0.506 0.747 +st. julian prop 0.000 0.000 0.000 +père françois prop 0.000 0.722 0.000 +pallas athene prop 0.000 2.878 1.448 +athene prop 0.000 5.313 1.630 +s.j. prop 0.000 0.000 0.000 +ghille mhóire prop 0.000 0.000 0.000 +makana larri prop 0.000 0.000 0.000 +mo prop 2.115 82.433 2.258 +bhaltair chaimbeul prop 0.000 1.035 0.000 +the invading macleans prop 0.000 0.000 1.000 +farspeaking prop 0.000 0.648 0.000 +inspector chaimbeul prop 0.000 0.474 0.000 +qu’à prop 0.000 0.000 0.000 +celine mireille ashe remillard prop 0.000 0.000 0.000 +usha singh prop 0.000 0.327 0.000 +chisholm prop 0.000 0.669 0.000 +sophisticated catriona chisholm prop 0.000 0.923 0.000 +dirigent lassie prop 0.000 0.361 0.000 +the nightmarish krondaku prop 0.000 0.000 1.063 +le fantôme familier prop 0.000 0.000 0.000 +vladimir ilyich macnaughton prop 0.000 0.000 0.000 +okanagon prop 0.000 0.587 0.000 +“ dirigent hamilton prop 0.000 0.000 0.000 +remillard brothers prop 0.000 0.000 0.000 +young queen victoria prop 0.000 0.878 0.000 +bodiless bozo prop 0.324 0.000 0.000 +enforced hibernation prop 1.000 0.000 0.000 +scurra ii prop 0.000 0.000 0.000 +scurra prop 0.000 0.547 0.000 +windlestrow navcom prop 0.000 0.000 0.000 +intendant prop 0.000 0.747 0.000 +general prop 91.830 0.000 3.791 +ig sorley prop 0.056 0.000 0.904 +sorley prop 0.000 0.676 0.582 +narendra prop 0.000 0.000 0.684 +narendra shah macnabb prop 4.853 0.000 0.000 +macnabb prop 0.589 0.000 0.000 +“ we ’ve prop 0.000 0.000 1.000 +director remillard prop 0.476 0.000 0.000 +dr. macnabb prop 0.000 0.000 0.000 +tisha abaka prop 0.000 0.000 0.921 +neelya demidova prop 0.000 0.000 0.000 +neelya prop 0.212 0.000 0.000 +demidova prop 0.212 0.000 0.000 +jim mackelvie prop 1.234 0.000 0.000 +james mackelvie prop 0.000 0.000 0.000 +ailsa prop 0.000 0.000 0.000 +tormod prop 0.000 0.000 0.000 +toru yorita prop 0.000 0.000 0.000 +zannen prop 0.000 0.000 0.000 +midori prop 0.000 0.000 1.000 +ailsa gordon prop 0.671 0.000 0.000 +neelya alexandrovna prop 0.000 0.000 0.000 +toru prop 0.000 0.000 0.000 +tisha prop 0.000 0.000 0.000 +a lylmik prop 0.349 0.614 0.000 +assembled prop 0.000 0.000 1.000 +madame dirigent prop 0.294 0.000 0.000 +the dirigent prop 0.000 1.000 0.000 +mackelvie prop 0.000 0.000 0.000 +dirigent macdonald prop 0.000 0.000 0.000 +jack ’s prop 2.108 0.819 0.229 +jack somethingwrongnerves prop 0.000 0.000 0.000 +i’ll prop 0.000 0.542 0.000 +nosiree prop 0.000 0.000 0.000 +jack ’s pk prop 0.000 0.000 0.000 +brother alf prop 21.353 0.659 0.000 +brother alfred prop 15.142 0.000 0.000 +jehan prop 291.495 0.000 25.434 +dom morwin prop 4.349 0.000 0.000 +brother osric prop 2.648 0.000 0.000 +o0o prop 23.092 0.000 5.326 +alf prop 752.492 14.832 57.257 +anselm prop 1.510 0.000 0.944 +brother herbal prop 2.977 0.000 0.000 +dom edwin prop 0.000 0.000 0.000 +morwin prop 51.809 0.000 1.111 +abbot prop 39.651 0.000 1.724 +st. ruan prop 2.736 0.000 0.953 +devil prop 9.304 0.000 0.348 +earl rogier prop 0.492 0.000 0.000 +bishop aylmer prop 12.165 0.000 0.464 +bishop aylmers prop 0.000 0.000 0.870 +jesu prop 3.003 0.015 0.000 +brother owein prop 1.834 0.000 0.653 +kyriell prop 0.846 0.000 0.850 +brother kyriell prop 2.768 0.000 0.000 +rhiyana prop 10.454 0.000 4.197 +rhiyanan prop 0.000 1.426 0.000 +gwydion prop 68.742 0.000 2.122 +owein prop 16.302 0.000 0.000 +fara prop 5.358 9.885 2.341 +lord rhydderch prop 2.187 0.000 0.000 +rhydderch prop 39.144 0.000 3.517 +alun prop 90.727 2.317 4.448 +“ richard prop 1.419 0.000 0.000 +kilhwch prop 13.500 0.000 0.000 +gwynedd prop 0.698 0.000 0.251 +bran dhu prop 0.201 0.000 0.000 +huw prop 0.504 0.000 1.646 +dafydd prop 79.510 0.000 34.804 +rhuawn prop 0.503 0.000 0.000 +dewin prop 0.000 0.000 0.000 +wizard prop 13.299 0.000 0.000 +annwn prop 0.391 1.275 0.000 +st. ruan ’s prop 1.002 0.000 0.000 +sir alun prop 0.663 0.000 0.000 +domne prop 2.770 0.000 0.000 +plato prop 52.008 0.000 2.043 +brother rowan prop 0.000 0.000 0.000 +chalcidius prop 0.260 0.000 0.000 +jehan ’s prop 0.624 0.000 0.000 +the rhiyanan prop 0.000 0.000 0.919 +aylmer prop 38.094 0.000 0.000 +abbot morwin prop 0.516 0.000 0.000 +bishop prop 22.595 0.000 2.559 +brother ulf prop 0.000 0.000 0.000 +ulf prop 5.800 0.631 0.000 +the arimathean prop 0.000 0.000 0.000 +ynys witrin prop 0.000 0.000 1.499 +althea prop 32.929 512.975 42.528 +prince aidan prop 4.555 0.000 0.000 +aidan prop 8.732 0.000 2.473 +maura prop 3.028 59.283 6.001 +kyrie eleison prop 0.642 0.000 0.000 +father wulfric prop 0.386 0.000 0.000 +wulfric prop 0.219 0.000 0.313 +weary prop 0.000 1.927 0.000 +sevigny prop 0.000 0.000 0.000 +“ kilhwch prop 0.000 0.000 0.000 +king richard prop 40.855 0.000 3.476 +brother bernard prop 0.000 0.000 0.000 +jehan de sevigny prop 1.521 0.000 0.000 +bran the blessed prop 0.510 0.000 0.000 +sir monk prop 0.000 0.000 0.000 +squires prop 42.938 0.000 1.589 +noble prop 6.926 0.000 0.000 +brother obstacle prop 0.333 0.000 0.000 +carlisle prop 70.852 24.299 11.692 +brother reynaud prop 3.300 0.000 0.000 +reynaud prop 12.357 0.000 4.625 +constantine prop 28.721 0.237 1.707 +bishop foulques prop 9.330 0.000 0.000 +amaury prop 0.000 0.342 0.000 +origen prop 0.000 1.458 0.000 +brother edgar prop 0.350 0.000 0.000 +giraut prop 0.426 0.000 0.000 +king harold prop 1.223 0.000 0.000 +oyez prop 0.000 0.000 0.000 +cædmon prop 3.066 0.000 0.000 +frea ælmihtig prop 0.000 0.000 0.000 +a cædmon prop 0.246 0.000 0.000 +brother aethelstan prop 0.432 0.000 0.000 +king winter prop 0.357 0.000 0.000 +joscelin prop 28.295 0.000 0.147 +perkin prop 0.803 0.000 0.000 +sodom prop 0.650 0.000 0.000 +sir priestling prop 0.000 0.000 0.000 +father michael prop 4.618 0.000 0.000 +dionysius prop 2.021 0.000 0.000 +master joscelin prop 0.719 0.000 0.000 +alys prop 0.000 0.152 0.000 +the sevignys prop 0.000 0.000 0.000 +master peter prop 2.076 0.000 0.000 +martianus prop 0.654 0.000 0.000 +caer dhu prop 0.000 0.000 0.000 +saxon prop 160.088 27.044 23.182 +earl hugo prop 0.465 0.000 2.339 +thierry prop 66.566 0.000 0.775 +swifter prop 0.000 0.000 0.000 +violently prop 0.000 0.000 0.825 +st. paul prop 6.160 0.000 0.001 +meanwhile”—he prop 0.232 0.000 0.000 +brother raymond prop 2.540 0.000 0.000 +pauline prop 6.826 146.205 9.237 +brother adam prop 10.451 0.000 0.021 +sweet jesu prop 0.521 0.000 0.000 +ruan prop 3.656 0.000 3.501 +boethius prop 2.863 0.000 0.000 +jove prop 43.344 2.812 9.206 +arawn prop 0.259 0.290 0.000 +herne the hunter prop 0.000 1.008 0.000 +master boethius prop 0.313 0.000 0.000 +wrath prop 6.904 1.851 0.002 +st. nicholas prop 1.586 0.000 0.592 +coeur - de - lion prop 1.779 1.150 0.000 +st. jerome prop 2.733 0.000 0.000 +oremus prop 0.000 0.000 0.479 +sir olivier de romilly prop 0.254 0.000 0.000 +sir olivier prop 0.941 0.000 0.746 +olivier prop 6.361 0.001 0.000 +st. michael prop 0.000 0.000 0.770 +earl rahere prop 0.406 0.000 0.000 +messire prop 0.461 0.381 0.635 +bishops prop 0.000 0.000 4.655 +brother andreas prop 0.365 0.000 0.000 +foulques prop 0.895 0.000 0.644 +master jehan prop 0.972 0.000 0.000 +lord bishop prop 0.407 0.000 0.000 +fiat prop 0.000 0.000 0.000 +christos apollo prop 0.000 0.606 0.000 +kyrie prop 3.370 0.006 0.553 +yule prop 3.473 0.467 3.803 +nigh prop 0.000 0.000 0.000 +broth prop 0.000 0.000 0.000 +old foulques prop 0.351 0.000 0.000 +the paulines prop 0.000 0.000 1.494 +sibyl prop 2.697 29.464 0.000 +bran dhu`s prop 0.268 0.000 0.000 +obligingly prop 0.677 0.000 0.000 +mutely prop 2.322 0.000 0.000 +albumazar prop 0.000 0.000 0.000 +brother cecil prop 0.443 0.000 0.000 +frankish prop 3.174 0.000 1.966 +sir rhiyanan prop 0.000 0.000 0.000 +brother wilfred prop 0.493 0.000 0.000 +thea damaskena prop 1.104 2.713 0.000 +demoiselle prop 0.000 0.163 1.057 +a sevigny prop 0.000 0.000 0.000 +saint dafydd prop 0.297 0.000 0.000 +sir aiun prop 0.000 0.000 0.000 +gwydion ca prop 0.320 0.000 0.000 +bowland prop 2.376 0.000 0.000 +cassandra prop 0.006 76.438 12.922 +richard ’s prop 6.544 0.000 0.001 +osric prop 27.140 0.000 0.000 +dom prop 137.353 42.027 6.040 +andreas prop 0.000 0.036 0.512 +dom willibrord prop 0.000 0.000 0.000 +dom lanfranc prop 0.000 0.000 0.000 +melchisedec prop 0.504 0.000 0.000 +domine prop 0.072 0.000 2.397 +lazarus prop 62.819 0.000 3.217 +lord richard prop 0.452 0.000 0.000 +samain prop 3.564 0.657 3.298 +cunobelin prop 95.737 3.334 0.329 +togodumnus prop 109.886 0.000 26.511 +aricia prop 9.560 158.251 9.305 +tog prop 48.497 0.000 11.685 +caradoc prop 805.071 11.458 52.853 +brutus prop 81.528 0.000 0.000 +samain eve prop 0.527 0.000 0.000 +sholto prop 11.518 0.917 0.682 +caelte prop 70.155 0.001 33.579 +caesar prop 79.035 8.595 1.077 +julius prop 159.409 0.000 23.299 +camulos prop 7.259 4.635 1.703 +eurgain prop 37.041 175.377 26.831 +adminius prop 34.011 0.002 7.866 +spoiled caradoc prop 0.000 0.423 0.000 +brigantia prop 0.690 8.924 1.327 +fearachar prop 32.851 0.000 8.261 +the lady aricia prop 0.000 1.328 0.000 +cinnamus prop 111.393 1.599 26.161 +the trinovantes prop 2.535 0.000 0.974 +tasciovanus prop 1.255 0.000 0.004 +eppaticus prop 0.000 0.000 0.878 +verica prop 4.824 0.000 0.000 +dubnovellaunus prop 1.330 0.000 0.000 +the catuvellauni prop 6.678 1.063 15.724 +the iceni prop 5.538 2.950 9.292 +boudicca prop 9.920 210.652 11.719 +little boudicca prop 0.028 0.997 0.000 +subidasto prop 9.653 8.766 0.000 +alan here prop 0.502 0.000 0.000 +tog ’s prop 0.000 0.000 0.000 +cin prop 11.689 0.000 5.690 +druithin prop 0.000 0.014 2.628 +the druithin prop 9.071 0.007 6.776 +cathbad prop 5.367 0.000 2.668 +cassivellaunus prop 0.018 0.000 1.327 +the great julius caesar prop 0.274 0.000 0.000 +dagda prop 0.000 0.000 0.342 +the dagda prop 0.162 0.000 1.964 +togodumnus the many - handed prop 0.000 0.000 0.000 +hostages prop 0.000 0.000 0.000 +ricon prop 2.893 0.000 0.835 +the coritani prop 0.067 0.000 13.936 +catuvel - launian prop 0.000 0.000 0.000 +coritani prop 0.000 0.000 1.798 +caradoc ap cunobelin prop 1.529 0.000 0.000 +bran prop 64.572 0.000 17.551 +catuvellaunian prop 0.971 0.000 2.569 +annis prop 0.408 2.910 0.000 +the druid prop 2.545 0.156 0.000 +tallia prop 2.625 7.209 0.004 +dear eurgain prop 1.259 0.000 0.000 +those prop 0.000 0.000 2.875 +augustus prop 9.880 2.298 0.064 +tiberius ricon prop 0.198 0.000 0.000 +taran prop 2.860 0.000 0.000 +the durotiges prop 0.000 0.000 0.297 +dobunni prop 0.000 0.000 1.200 +venutius prop 158.584 21.534 9.719 +the brigantians prop 3.773 0.000 0.000 +roman prop 16.740 1.397 5.765 +cunolebin prop 0.572 0.000 0.000 +ironhand prop 0.785 0.000 0.516 +catuvellaunian freemen prop 0.739 0.189 0.000 +the parisii prop 0.000 0.000 0.253 +house brigahtia prop 0.434 0.824 0.000 +brigantians prop 0.000 0.000 1.155 +the cornovii prop 0.000 0.505 1.394 +aicia prop 0.801 0.000 0.000 +brigantian prop 0.111 1.064 0.000 +llyn prop 157.145 0.000 15.425 +mocuxsoma prop 4.171 0.000 3.610 +vocorio prop 0.844 0.000 3.618 +house catuvellaun prop 0.479 0.000 0.000 +little eurgain prop 1.416 1.999 0.000 +vida prop 2.615 167.822 4.081 +aunt gladys prop 0.010 1.493 0.000 +caius caesar prop 2.473 0.000 0.000 +albion prop 13.704 2.913 1.182 +caius prop 4.536 0.000 0.000 +the predatory catuvellauni prop 0.394 0.000 0.145 +gladys ’s prop 0.027 0.000 0.587 +elected prop 0.484 0.000 0.000 +little gladys prop 0.000 1.377 0.000 +togodumnus ap cunobelin prop 0.000 0.000 0.000 +poor venutius prop 0.641 0.000 0.000 +adminus prop 0.753 0.000 0.000 +aricia ’s brigantians prop 0.000 0.000 0.934 +the dumnonii prop 0.115 0.000 0.429 +the dobunni prop 1.921 0.000 0.000 +boduocus prop 5.372 0.000 0.000 +the doburini prop 0.654 0.000 0.000 +the cantiaci prop 0.000 0.000 2.705 +caligula prop 12.398 0.001 1.134 +camulodunon prop 1.648 0.000 3.136 +julius casesar prop 1.155 0.000 0.000 +cinnamus ironhand prop 0.135 0.496 0.000 +mad caius prop 0.296 0.000 0.000 +jupiter prop 39.413 2.014 11.823 +greatest prop 0.000 0.000 0.478 +best prop 17.192 2.520 1.250 +ah prop 2.806 0.013 2.017 +the brigantes prop 0.000 0.957 0.000 +catuvellaunians prop 0.782 0.000 0.000 +seneca prop 36.732 0.000 0.000 +the durotriges prop 5.917 0.000 7.698 +caradoc the magnificent prop 0.000 0.000 0.000 +cerdic prop 1.107 0.139 0.000 +a lagging , weary caelte prop 0.000 0.000 0.000 +the praetorians prop 0.000 0.000 2.924 +tiberius claudius drusus germanicus prop 0.000 0.000 0.000 +claudius prop 131.842 0.815 5.835 +the atrebates prop 0.000 0.000 5.608 +catuvellauni prop 3.209 0.000 0.000 +prasutugas prop 82.665 9.563 2.098 +huge , bearded brigantians prop 0.000 0.000 0.263 +the catuvellaunians prop 0.000 0.000 4.183 +caradoc , bored and depressed prop 0.000 0.282 0.000 +gwyllog prop 1.278 0.000 0.000 +icenians prop 0.535 0.000 0.000 +mad prop 9.280 0.001 2.484 +the roman prop 0.000 0.000 1.919 +the belgae prop 0.000 0.000 0.767 +aulus plautius silvanus prop 2.538 0.000 0.000 +geta prop 0.748 0.000 3.802 +hosidius geta prop 1.797 0.000 0.000 +plautius prop 95.793 8.499 0.049 +rufus pudens prop 1.878 3.009 0.658 +vespasianus prop 7.854 0.864 2.756 +pudens prop 33.655 8.132 10.278 +paulinus prop 50.462 3.388 2.026 +cogidumnus prop 0.908 0.000 0.000 +rufus prop 77.495 1.943 3.600 +batavians prop 1.310 0.000 0.000 +aulus prop 3.919 0.270 0.000 +hosidius prop 0.000 0.000 0.000 +mithras prop 6.945 0.000 3.032 +epona prop 1.956 0.151 0.000 +ballista prop 0.000 0.000 1.091 +the silurian prop 1.134 0.000 0.000 +bel prop 4.210 0.000 0.001 +the silures prop 0.000 0.000 9.981 +cinnainus prop 0.501 0.000 0.000 +silurian prop 0.000 0.000 0.000 +the silurians prop 0.000 0.000 5.553 +vercingetorix prop 0.873 1.350 0.000 +the gaulish tribes prop 0.014 0.000 0.917 +the ordovices prop 0.000 0.431 5.218 +the demetae prop 6.628 0.000 10.472 +the deceangli prop 0.978 0.000 5.916 +jodocus prop 1.660 0.000 5.518 +the trinovantians prop 0.000 0.000 0.000 +quintus prop 0.000 7.520 0.000 +varius prop 0.903 0.269 0.000 +honor prop 16.260 50.089 9.463 +valerius asiaticus prop 0.000 0.000 0.000 +crassus frugi prop 0.732 0.000 0.000 +rufrius pollio prop 0.421 0.000 0.000 +frugi prop 0.410 0.000 0.000 +pompeius magnus prop 0.349 0.000 0.000 +antonia prop 0.000 3.609 8.948 +magnus prop 10.192 1.000 0.000 +galba prop 5.177 0.000 0.000 +chatti prop 0.340 0.000 0.000 +the old empress livia prop 0.000 0.000 0.472 +silvanus aelianus prop 0.000 0.000 0.990 +silvanus prop 58.880 0.000 14.077 +urganilla prop 0.001 1.341 0.000 +messalina prop 1.139 0.000 0.000 +britannicus prop 8.175 0.000 0.000 +domnall prop 14.131 23.494 4.070 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0.000 0.000 +ryssand … prop 0.843 0.000 0.000 +lines prop 0.000 0.000 0.000 +mauryl ’s prop 0.000 0.000 0.000 +ryssand’s prop 0.000 0.000 0.879 +the chomaggari prop 0.000 0.000 1.320 +lord umanon prop 1.234 0.000 0.000 +captain sir horatio hornblower prop 1.914 0.000 0.000 +hornblower prop 965.203 12.514 63.467 +philosophically prop 0.000 0.000 0.000 +brummell prop 0.422 0.000 0.000 +master richard prop 0.604 0.000 0.000 +wiggins prop 55.468 1.732 10.383 +sir horatio prop 2.687 0.000 1.288 +coutts prop 0.833 0.000 0.310 +lady barbara prop 1.224 1.844 0.000 +e. nepean prop 0.000 0.000 0.000 +captain hornblower prop 0.323 0.000 0.000 +admiral louis prop 0.323 0.000 0.000 +master hornblower prop 0.648 0.000 0.000 +collingwood prop 2.280 1.671 0.000 +lord barharn prop 1.000 0.000 0.000 +admiral keats prop 2.228 0.000 0.000 +saumarez prop 0.604 0.000 0.000 +lotus prop 16.101 78.426 0.659 +the swedes prop 2.150 0.002 6.290 +k.p. prop 0.600 0.000 0.000 +sutherland prop 2.942 0.000 0.000 +bush 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prop 0.000 3.828 0.000 +william muller prop 0.982 0.000 0.000 +drakyula prop 0.528 0.000 0.000 +art mann prop 0.000 0.000 0.000 +marcus welby prop 0.064 0.000 1.339 +sophie ’s prop 0.000 0.000 0.000 +baby pearl prop 0.000 0.586 0.000 +old willy prop 0.855 0.000 0.000 +aunt monika prop 0.725 4.325 0.000 +tracy letts prop 0.000 0.897 0.000 +dionne prop 0.000 2.613 0.000 +caresse prop 0.000 0.233 0.000 +reginald shitty boon prop 0.000 0.000 0.000 +harry ferguson prop 0.475 0.000 0.000 +mutti prop 0.000 3.073 0.000 +doctor brock prop 0.004 0.697 0.000 +aunt margaret prop 1.430 3.546 0.011 +nosmo king prop 0.000 0.000 0.000 +auntie margaret prop 0.000 0.201 0.000 +robert siskowitz prop 0.000 0.000 0.000 +siskowitz prop 1.118 0.000 0.000 +reggie boon prop 1.539 0.000 0.000 +boon yukking prop 0.000 0.000 0.000 +morty savitch prop 0.000 0.000 0.000 +savitch prop 0.000 2.464 0.661 +johnny — prop 0.002 0.000 0.973 +sonny green prop 0.646 0.000 0.000 +green prop 55.986 1.790 0.000 +cocksucker prop 2.855 0.000 0.000 +whassamadda prop 0.000 0.435 0.000 +sissy yerxa prop 1.875 2.376 0.000 +sissy jerk prop 0.000 0.425 0.000 +phil buscemi prop 0.000 0.000 0.000 +buscemi prop 0.000 0.000 2.574 +hans stempel … prop 0.000 0.000 0.000 +das warrior prop 0.250 0.000 0.000 +stempel prop 9.237 0.000 0.003 +pee vee prop 0.296 0.000 0.000 +hazlitts prop 0.000 0.000 0.000 +liesl prop 0.000 0.356 0.000 +mortys prop 0.000 0.000 0.000 +karen spiceland prop 0.000 0.743 0.000 +richard burnham prop 0.542 0.000 0.000 +hans stempel prop 0.817 0.000 0.000 +oona ’s prop 0.000 1.680 0.379 +wicked willy prop 0.000 0.000 0.000 +dr. collar prop 0.000 0.428 0.000 +this hans stempel prop 0.000 0.000 0.000 +mick prop 83.805 9.911 1.637 +dr. krakower prop 0.000 0.000 0.000 +rudy bupnick prop 0.813 0.000 0.000 +bupnick prop 0.942 0.000 0.000 +charlton heston prop 0.204 0.000 0.000 +miss freckle prop 1.155 0.000 0.000 +penny woman prop 0.000 0.000 0.000 +st. bart prop 0.000 0.354 0.000 +clever penny prop 0.000 0.000 0.000 +miss gordon prop 2.000 19.561 0.000 +dr. robinson prop 0.000 0.340 0.000 +grand marnier prop 0.876 0.000 0.000 +old robbo prop 0.058 0.000 0.805 +nial prop 11.623 1.611 0.000 +captain haddock prop 0.000 0.000 0.000 +mies van der rohe prop 0.000 4.189 0.000 +herbert fuckface prop 0.000 0.500 0.000 +john hume prop 0.000 0.500 0.000 +tomorrow—‘darling prop 0.277 0.000 0.000 +sadie and/or oona prop 0.000 0.000 0.000 +willy muller prop 0.000 0.000 0.000 +krauty prop 0.000 0.000 0.000 +fatty jenkins prop 0.000 0.000 0.000 +eric begelmann prop 0.000 0.000 0.000 +begelmann prop 0.333 0.000 0.000 +piggies prop 0.333 0.000 0.000 +the big begel prop 0.000 0.000 0.000 +villy prop 2.416 0.000 0.000 +raymond brinks prop 0.000 0.000 0.000 +febulous prop 0.000 0.000 0.000 +mrs. robinson prop 1.565 46.904 0.000 +gastler prop 0.000 0.388 0.862 +tom cruise prop 5.221 0.000 0.815 +squalor prop 0.798 0.000 0.000 +the saintly ursula prop 0.000 0.000 0.000 +ursula muller prop 0.000 1.185 0.000 +‘ mutti prop 0.000 0.366 0.000 +elisabeth schwarzkopf prop 0.000 0.000 0.000 +hubby bill prop 0.000 0.000 0.000 +willy … prop 0.000 0.000 0.000 +yogomagic prop 0.000 0.441 0.000 +auntie monika prop 0.000 0.000 0.000 +babaloo prop 0.277 0.000 0.000 +sophe prop 0.152 0.194 0.000 +meechelle prop 0.000 0.000 0.000 +doctor rolfe prop 0.420 0.000 0.000 +nial ’s prop 0.000 0.530 0.000 +a vegetarian prop 0.345 0.000 0.000 +elp prop 0.157 0.166 0.000 +mrs . muller prop 0.000 0.000 0.000 +liebe prop 0.000 0.293 0.000 +eileen mitchell prop 0.000 0.000 0.000 +lamming prop 0.000 0.256 0.000 +maris prop 48.184 620.587 70.123 +smithie prop 0.000 0.000 0.000 +michael glynn prop 0.337 0.000 0.000 +penny vale prop 0.000 0.000 0.000 +curzon prop 0.099 0.000 0.664 +polly … prop 0.000 0.000 1.181 +shirley the shark — prop 0.000 0.000 0.000 +the kraut prop 0.475 0.000 0.000 +shirley the shark prop 0.000 0.936 0.000 +mr. sheiss prop 0.000 0.000 0.000 +wurst prop 0.000 0.000 0.000 +meir rosenblatt prop 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amberson prop 0.000 0.000 0.815 +old aleck prop 0.878 0.592 0.000 +this miss isabel prop 0.443 0.574 0.000 +mrs. henry franklin foster prop 0.974 1.710 0.606 +mrs. foster prop 0.000 28.037 2.475 +hazel kirke prop 0.000 0.000 0.000 +isabelle amberson prop 0.000 0.772 0.000 +miss amberson prop 0.000 0.730 0.000 +wilbur minafer prop 0.020 1.479 0.033 +isabel amberson prop 2.454 1.575 0.000 +minafer prop 4.534 0.000 0.000 +the wise mrs. henry franklin foster prop 0.000 0.000 0.565 +george amberson minafer prop 6.253 0.000 1.081 +malloch smith prop 2.284 0.000 0.000 +mrs. malloch smith prop 0.000 0.000 0.000 +mr. malloch smith prop 0.370 0.000 0.000 +master minafer prop 0.000 0.000 0.000 +mrs. minafer prop 0.000 1.337 0.000 +uncle george amberson prop 0.000 0.000 0.000 +riffraff prop 3.994 0.000 0.000 +mrs. amberson prop 0.000 0.000 0.000 +miss lillian russell prop 0.000 0.000 0.000 +m. guy de maupassant prop 0.000 0.000 0.000 +giovanni boccaccio prop 0.000 0.000 0.000 +miss della fox prop 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prop 0.410 0.000 0.000 +mrs. wilson prop 5.634 17.997 0.866 +charles stanton prop 4.223 0.000 0.000 +miz ayers prop 0.000 0.355 0.000 +fred dayton prop 1.000 0.000 0.000 +henry pain prop 0.000 0.000 0.000 +david beedle prop 0.000 0.000 0.000 +cyrus p. connelly prop 0.000 0.000 0.000 +william l. baird prop 0.000 0.000 0.000 +joseph tipps prop 0.000 0.000 0.000 +robert garrison prop 0.000 0.000 0.200 +robert mceirath prop 0.000 0.000 0.200 +oscar willis prop 0.000 0.000 0.200 +john hall prop 4.991 0.000 0.000 +richard bean prop 0.000 0.000 0.200 +lafayette collins prop 0.000 0.000 0.200 +the mcdowells prop 0.000 0.000 0.644 +miss mary erwin prop 0.000 4.640 0.000 +jacob hutchins prop 0.579 0.000 0.000 +collis prop 0.316 0.000 0.000 +mr. greenberry silver prop 0.000 0.000 0.000 +jackson stewart prop 1.283 0.000 1.153 +little mrs. silver prop 0.000 0.729 1.205 +nancy wilson prop 2.541 5.648 0.000 +miss wilson prop 3.942 3.546 0.000 +tom wilson prop 0.317 0.000 0.000 +uncle jacob prop 1.513 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prop 1.257 0.000 0.000 +la - fay prop 0.646 0.000 0.000 +presnell prop 1.631 0.000 0.000 +miss eliza grace mcdowell prop 0.000 0.000 1.620 +eliza mcdowell prop 0.029 0.000 0.668 +miss eliza prop 48.388 73.966 1.769 +eliza grace mcdowell prop 0.000 0.761 0.069 +eliza grace prop 0.000 0.785 0.001 +margaret o’neil mcdowell prop 0.000 1.983 0.000 +erwin sisters prop 0.000 0.711 0.000 +mrs. gaither prop 0.000 0.375 0.000 +mrs. alfred gaither prop 0.000 0.472 0.000 +mrs. charles silver prop 0.000 0.772 0.000 +chain prop 0.000 0.359 0.000 +francis silver prop 0.000 0.000 0.000 +jackson stuart prop 0.000 0.000 0.000 +isaiah stuart prop 0.000 0.000 0.000 +david newland prop 0.390 0.689 0.595 +mr. montfort stokes prop 0.470 0.000 0.000 +montfort stokes prop 0.000 0.729 0.000 +mr. newland prop 0.974 0.000 0.000 +governor stokes prop 0.000 0.000 0.000 +mrs. silvers prop 0.000 1.091 0.000 +wilksboro prop 0.000 0.000 0.000 +d. newland prop 0.322 0.000 0.000 +colonel newland prop 2.324 0.000 0.000 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0.000 +sheriff boone prop 0.401 1.685 0.000 +john sevier prop 4.498 0.000 0.000 +sevier prop 3.298 0.000 0.000 +the tiptons prop 0.410 0.000 0.000 +old nolichucky jack prop 0.348 0.000 0.000 +john tipton prop 0.000 0.000 0.000 +william morrison prop 0.655 0.522 0.000 +sheriff morrison prop 0.822 0.000 0.000 +joseph mcdowell prop 0.000 0.000 0.000 +sheriff john boone prop 0.515 0.000 0.000 +mrs. silver godspeed prop 0.000 1.368 0.000 +dr. hardy prop 0.000 9.702 0.020 +old frankie prop 0.000 0.000 0.000 +gouge prop 0.000 0.000 0.000 +mr. burgess gaither prop 0.028 0.318 0.000 +young william prop 0.592 0.000 0.000 +north carolina prop 0.000 0.000 0.485 +mrs. francis silver prop 0.000 0.000 0.000 +mary e. erwin prop 0.000 0.000 0.000 +catherine caldwell wilson prop 0.000 0.000 0.000 +eunice worth wilson prop 0.000 0.000 0.000 +delia erwin prop 0.000 0.216 0.000 +catherine gaither prop 0.000 0.216 0.000 +matilda sharpe erwin prop 0.000 0.216 0.000 +ceceilia sharpe erwin prop 0.000 0.000 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prop 0.482 0.000 0.000 +queen of scots prop 0.000 0.013 0.676 +mary stuart prop 1.517 27.971 2.588 +judge henry seawall prop 0.000 0.000 0.000 +the queen of scots prop 1.000 0.380 0.000 +president tyler prop 0.000 0.000 0.000 +thomas clingman prop 0.000 0.000 0.000 +william waightstill avery prop 2.078 0.000 0.000 +isaac thomas avery prop 0.280 0.000 0.000 +young waightstill prop 0.280 0.000 0.000 +judge william gaston prop 0.000 0.000 0.000 +waightstill avery prop 7.471 0.000 0.000 +ephraim greenlee prop 0.000 0.000 0.000 +greenlee prop 0.000 0.000 0.000 +sam fleming prop 0.583 0.000 0.000 +young waightstill avery prop 0.878 0.000 0.000 +samuel fleming prop 4.295 0.000 0.000 +mr. fleming prop 4.181 0.000 0.000 +poor waightstill prop 1.133 0.000 0.000 +judge kemp battle prop 1.432 0.000 0.000 +mr. tod r. caldwell prop 0.000 0.000 0.000 +general john gray bynum prop 0.000 0.000 0.000 +tod caldwell prop 0.774 0.000 0.000 +tod prop 0.067 0.000 1.000 +mr. o. j. neal prop 0.000 0.000 0.247 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0.000 1.287 +uncle billy jeffers prop 0.000 0.000 0.000 +rob nelson prop 1.091 0.750 0.789 +travis burdow prop 3.699 0.000 0.000 +ed turner prop 8.901 0.000 2.038 +burdow prop 3.831 0.000 0.000 +dave burdow prop 6.061 0.480 0.312 +travis prop 24.273 27.689 15.154 +creightons prop 0.223 0.000 0.000 +eb carron prop 0.227 0.000 0.000 +matt ’s prop 2.058 0.000 0.000 +the creightons prop 0.014 0.001 1.825 +bill creighton prop 1.618 0.000 0.000 +brother bill prop 0.216 0.000 0.000 +wilse graham prop 0.034 0.681 2.351 +wilse prop 2.668 0.000 0.000 +mississipp prop 0.000 0.000 0.000 +uncle matt prop 0.239 0.000 0.000 +young tom prop 4.689 0.000 0.000 +cousin wilse prop 0.000 0.000 0.000 +cousin john prop 2.934 1.035 0.000 +john browns prop 0.000 1.649 0.000 +charles sumners prop 0.000 0.000 0.382 +mr. creighton prop 0.644 0.000 0.000 +governor pickens prop 0.428 0.000 0.453 +beauregard prop 8.079 0.000 1.263 +sumter prop 0.000 0.000 0.000 +nathaniel lyon prop 0.000 0.000 0.000 +general frémont 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0.000 0.000 0.508 +old matt prop 0.401 0.000 0.108 +sigel prop 0.669 0.000 0.001 +reb generals prop 0.252 0.000 0.000 +van dorn prop 1.063 0.000 0.000 +mcculloch prop 2.139 0.000 0.542 +jake roscoe prop 1.113 0.000 0.000 +sam gardiner prop 3.708 0.000 0.594 +ross milton prop 15.355 0.000 0.000 +young creighton prop 0.000 0.581 0.000 +trav prop 0.000 11.586 2.362 +wortman prop 1.263 0.000 0.000 +guy wortman prop 1.514 0.000 0.000 +ben harris prop 0.355 0.000 0.000 +red milton prop 0.000 1.277 0.000 +burdows prop 0.638 0.000 0.000 +trav burdow prop 0.472 0.000 0.269 +mr. milton prop 5.563 0.000 0.000 +mrs. hiles prop 0.000 0.802 0.514 +young yale prop 0.337 0.000 0.000 +doc bailey prop 0.810 0.000 0.000 +mad old john brown prop 0.000 0.000 0.000 +old jake roscoe prop 0.000 0.000 0.536 +mrs. hile prop 0.000 0.000 0.892 +the vigorous , erect matt creighton prop 0.361 0.000 0.000 +buell prop 6.407 0.117 0.000 +ol’ grant prop 0.421 0.000 0.000 +the wortmans prop 0.000 0.182 0.513 +wallace feller prop 0.204 0.000 0.000 +don carlos buell prop 0.148 0.346 0.331 +don carlos prop 13.804 0.000 2.229 +israel thomas prop 3.634 0.000 0.000 +hidalgo prop 2.741 0.000 0.000 +tendin prop 0.311 0.000 0.000 +copperheads prop 0.440 0.000 0.000 +henry giles prop 0.179 0.000 0.000 +sigurd nelson prop 0.000 0.000 0.000 +irv chandler prop 0.000 0.000 0.000 +tom ’s prop 4.177 0.000 1.506 +eb ’s prop 0.000 0.000 0.713 +sam turner prop 0.000 0.000 0.000 +george lawrence prop 1.384 0.000 1.199 +dan lawrence prop 3.651 0.000 0.000 +tom creighton prop 0.788 0.000 0.000 +ol’ buell prop 1.757 0.000 0.000 +jethro hallam creighton prop 0.000 0.000 0.000 +dr. jethro hallam prop 1.209 0.000 0.000 +colvin creighton prop 0.000 0.000 0.000 +died july prop 0.000 0.000 0.000 +james alexander creighton prop 0.000 0.000 0.000 +died july 4th prop 0.000 0.000 0.000 +nathan hale creighton prop 0.000 0.000 0.000 +died july 3rd prop 0.000 0.000 0.000 +jenny elizabeth creighton prop 0.000 0.344 0.000 +mary ellen creighton prop 0.000 0.344 0.000 +thomas ward creighton prop 0.000 0.528 0.000 +john robert prop 0.000 0.000 0.000 +william taylor prop 0.000 0.000 0.000 +benjamin hardin creighton prop 1.000 0.000 0.000 +danny lawrence prop 0.000 1.036 0.000 +gardiner prop 1.913 0.000 0.000 +lafe edwards prop 0.000 0.000 0.000 +general halleck prop 1.119 0.000 0.000 +halleck prop 2.855 0.000 1.000 +general pope prop 1.043 0.000 0.000 +general bragg prop 1.509 0.000 0.000 +james longstreet prop 0.000 0.000 0.000 +mr. mcclellan prop 0.289 0.000 0.000 +druv prop 0.579 0.000 0.000 +tom marin prop 0.000 0.000 0.000 +ambrose burnside prop 0.541 0.000 0.000 +burnside prop 0.414 0.000 0.000 +general burnside prop 0.530 0.000 0.006 +rosecrans prop 0.289 0.000 1.909 +old rosy prop 0.431 0.000 0.000 +the confederate general bragg prop 1.000 0.000 0.000 +hig phillips prop 2.856 0.000 0.000 +the wortman prop 0.000 0.000 0.000 +ebenezer carron prop 1.558 0.000 0.000 +ma ’s prop 2.017 1.421 0.000 +bill ’s prop 3.202 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0.191 0.000 0.224 +gen prop 3.744 6.161 0.221 +braggs prop 0.000 0.000 0.000 +jeths prop 0.000 0.000 0.000 +wade butler prop 0.000 0.000 0.000 +general ulysses s. grant prop 0.257 0.000 0.883 +bobby e. lee prop 0.000 0.000 0.000 +george b. mcclellan prop 0.320 0.000 0.448 +admiral farragut prop 1.000 0.000 0.000 +tecumseh sherman prop 0.446 0.000 0.000 +general hood prop 1.348 0.000 0.000 +hoods army prop 0.000 0.000 0.000 +old pap thomas prop 0.000 0.000 0.000 +billy sherman prop 0.000 0.000 1.244 +hev prop 0.000 0.000 0.483 +schofield prop 0.172 0.000 0.878 +plump mrs. hiles prop 0.037 0.903 0.000 +mary — prop 0.000 0.000 0.721 +leo bloodworth prop 5.419 0.000 0.000 +serendipity dahlquist prop 1.804 0.452 0.000 +agnes de mille prop 0.000 1.884 0.000 +bloodworth prop 20.590 0.000 5.059 +serendipity prop 0.000 0.855 0.000 +dahlquist prop 0.000 0.411 0.000 +terry manion prop 14.280 1.349 0.000 +serendipty prop 0.000 0.000 0.000 +miss dorothy l. sayers prop 0.000 0.000 0.333 +miss ruth 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0.000 0.000 +eurasian wigeon prop 0.000 0.000 0.000 +putana prop 0.528 0.000 0.000 +mrs. scifo prop 0.000 1.851 1.514 +mr. scifo prop 0.007 1.833 0.000 +mrs. brody prop 1.695 1.451 0.935 +“ louie prop 0.000 0.271 0.000 +mrs. alan brody prop 0.000 0.707 0.000 +aunt frieda prop 0.000 5.163 0.556 +uncle abe prop 8.641 3.859 0.463 +loehmann prop 0.411 0.000 0.000 +aunt selma prop 0.000 0.865 0.000 +aunt gert prop 0.000 1.858 0.526 +cabbie prop 0.000 0.000 0.918 +dr. brenda brody prop 0.000 0.000 0.000 +brenda big shot prop 0.000 0.000 0.000 +peter dear prop 0.331 0.000 0.000 +grouse prop 0.000 0.862 0.000 +richard the wilkie collins prop 0.718 0.000 0.000 +alf landon prop 0.000 0.348 0.000 +little alice prop 0.000 3.932 1.049 +big alice prop 0.000 0.990 0.000 +yik prop 0.000 0.000 0.000 +vom prop 0.000 0.000 0.000 +someone else prop 0.000 0.864 0.000 +… alice prop 0.000 0.000 0.000 +spotnose prop 1.564 0.000 0.000 +crooks prop 0.000 0.000 1.059 +nancy mandell prop 0.000 0.000 0.000 +dolly madison prop 1.279 1.584 0.000 +iggy the iguana prop 1.013 0.000 0.684 +grandpa brody prop 0.000 0.000 0.000 +mr. brody prop 2.847 0.000 0.000 +dr. brody prop 0.000 0.000 0.000 +gianni carson prop 3.810 0.000 1.207 +mr. carson prop 21.408 0.000 2.742 +scifo prop 0.000 0.000 0.702 +audubon prop 1.067 1.183 0.000 +altamont prop 0.000 0.520 0.000 +pandadevi prop 0.339 0.321 0.000 +mrs. pond prop 0.000 15.537 0.000 +ms. pond prop 0.000 0.469 0.234 +n’t mohammed prop 0.320 0.000 0.000 +… louie scifo prop 0.526 0.000 0.000 +reasonable luxe prop 0.000 0.000 0.000 +louie ’s prop 0.011 1.186 0.000 +mr. scifonowitz prop 0.000 0.000 0.000 +mrs. margate prop 0.000 1.134 0.000 +la leche prop 0.485 0.000 0.000 +old man scifo prop 0.811 0.000 0.000 +rhody prop 0.000 0.000 0.000 +scum prop 0.001 0.563 0.000 +louie macbeth prop 0.000 0.356 0.000 +willie brody prop 0.000 0.000 0.000 +william brody prop 0.286 0.000 0.000 +eliot porter prop 0.000 0.359 0.000 +elmer fudd prop 0.564 0.000 0.865 +thompson zalman prop 0.000 1.443 0.000 +zalman prop 0.000 0.000 0.000 +mr. zalman prop 2.010 1.792 0.000 +louis scifo prop 0.000 0.000 0.000 +lou scifo prop 0.000 0.000 0.000 +l. ouiescifo … prop 0.000 0.000 0.000 +peewee prop 19.711 1.055 2.185 +mrs. smithley prop 0.000 6.175 0.000 +joe smithley prop 0.919 0.075 0.000 +the smithleys prop 0.000 0.000 2.790 +mr. smithley prop 2.416 0.219 1.642 +deer prop 0.004 0.000 1.222 +destiny who prop 0.000 0.898 0.000 +made prop 0.000 0.000 0.000 +gc prop 2.183 3.002 1.401 +ls prop 0.000 0.977 0.000 +mr. mephistopheles prop 0.371 0.000 0.000 +mr. louie scifo prop 0.000 0.000 0.936 +lynda byrd johnson prop 0.000 0.000 0.000 +pop ” prop 0.000 0.523 0.000 +allegra prop 30.883 61.725 2.684 +little rachel prop 0.359 0.000 0.000 +baby rachel prop 0.039 0.498 0.000 +brendala prop 0.000 0.596 0.000 +general alice prop 0.000 1.000 0.000 +pond prop 1.788 3.007 1.524 +baronessa de scifo prop 0.000 0.000 0.000 +baronessa pond prop 0.875 0.000 0.000 +patricia hum brody prop 0.000 0.000 0.000 +vaughan kester prop 0.000 0.000 0.655 +polly stratton prop 0.000 0.000 0.000 +the quintards prop 0.000 0.376 0.279 +general quintard prop 2.628 0.706 0.000 +jonathan crenshaw prop 0.500 0.000 0.000 +bladen prop 11.035 2.519 1.936 +mr. crenshaw prop 49.012 0.000 3.250 +mr. bladen prop 6.331 0.000 0.791 +turberville prop 1.956 0.000 0.034 +hannibal wayne hazard prop 2.627 0.000 0.000 +bob yancy prop 8.599 0.000 0.000 +mr. yancy prop 24.944 0.303 0.375 +yancy prop 100.667 0.001 9.420 +aunt alsidia prop 0.032 0.781 0.000 +the quintard prop 0.381 0.000 0.000 +a mrs. crenshaw prop 1.252 0.000 0.000 +mrs. crenshaw prop 0.044 30.882 2.042 +yancy tells prop 0.000 0.000 0.000 +moral prop 0.000 0.000 0.000 +tale prop 0.000 0.000 0.000 +nathaniel ferris prop 0.000 0.000 0.000 +south carolina quintards prop 0.000 0.000 0.509 +mrs. ferris prop 1.241 7.742 0.000 +miss betty malroy prop 0.000 0.386 0.000 +miss malroy prop 6.643 15.245 0.000 +betty malroy prop 0.000 6.756 0.852 +nevvy prop 4.360 0.000 1.128 +the scratch hiller prop 3.086 0.000 0.000 +the blounts prop 0.000 0.000 0.916 +mr. -- prop 0.000 0.328 0.000 +murrell prop 92.793 0.000 0.145 +captain murrell prop 5.931 1.482 0.000 +trouble prop 0.007 1.995 0.000 +scratch hill prop 1.755 0.000 0.000 +nat ferris prop 0.800 0.144 0.000 +quintard prop 3.563 0.000 0.001 +oglethorpe bellamy prop 0.210 0.000 0.000 +uncle sammy bellamy prop 1.076 0.000 0.000 +uncle sammy prop 6.744 0.000 0.000 +charley balaam prop 2.457 0.000 0.800 +old squire balaam prop 0.219 0.000 0.000 +bruce carrington prop 3.797 0.834 1.590 +tom carrington prop 0.589 0.000 0.000 +mr. carrington prop 5.448 3.982 0.000 +carrington prop 122.090 6.994 4.295 +robert yancy prop 0.351 0.000 0.000 +said blount prop 1.000 0.000 0.000 +de lancy balaam prop 0.000 0.000 0.000 +mr. balaam prop 0.738 0.000 0.000 +blounts prop 0.129 0.000 0.370 +bob yancy-- prop 0.000 0.000 0.000 +yancy-- prop 0.000 0.000 0.000 +squire balaam prop 0.925 0.372 0.000 +the yancys prop 0.000 0.000 2.003 +miss betty prop 6.967 3.966 6.198 +old baldy ebersole prop 0.000 0.000 0.837 +baldy prop 20.929 0.000 0.000 +tom ware prop 6.999 0.023 0.742 +miss malroy-- prop 0.688 0.502 0.000 +the senior carrington prop 0.000 0.000 0.000 +cleggett prop 0.598 0.000 0.000 +mr. cleggett prop 1.820 0.000 0.000 +the ferrises prop 0.343 0.000 0.000 +tavern murrell prop 1.000 0.000 0.000 +slosson prop 32.635 1.730 3.584 +mr. slosson prop 9.383 1.176 0.000 +eph prop 4.166 0.000 0.000 +mas'r slosson prop 0.392 0.000 0.000 +mas'r prop 3.861 0.000 0.951 +the scratch hitler prop 1.349 0.000 0.000 +ne prop 1.161 0.000 1.000 +the unfortunate blount prop 0.000 0.855 0.000 +judge slocum price prop 5.105 0.000 0.000 +slocum price prop 7.449 0.000 0.643 +solomon mahaffy prop 3.954 0.000 0.630 +mahaffy prop 82.445 0.000 12.538 +spartan hardihood prop 0.000 0.000 0.000 +boon companions prop 0.525 0.000 0.000 +mr. mahaffy prop 13.740 0.000 0.756 +mahaffv prop 1.091 0.000 0.000 +hanibal prop 0.000 0.000 0.000 +judge price prop 8.389 0.382 0.004 +mr. slocum price prop 0.000 0.000 0.000 +mrs. walker prop 0.947 17.008 2.265 +mrs walker prop 0.000 0.000 0.000 +mr. richard keppel cavendish prop 0.000 0.000 0.000 +long - legged dick prop 0.000 0.000 0.000 +mr. cavendish prop 22.589 0.000 0.000 +cavendish prop 15.916 0.000 8.932 +mrs. cavendish prop 0.248 6.858 0.000 +miss constance prop 0.000 1.507 0.000 +keppel prop 2.526 0.000 0.757 +charley norton prop 10.896 0.802 0.000 +mr. carrington-- prop 0.000 0.871 0.000 +solomon-- prop 0.419 0.000 0.000 +mr. pegloe prop 6.165 0.000 0.961 +pegloe prop 9.133 0.000 1.873 +--judge slocum price prop 0.000 0.000 0.000 +the miss betty prop 0.000 0.000 0.000 +john murrell prop 2.879 0.000 0.000 +mr. mahafly prop 0.407 0.000 0.000 +fentress prop 43.048 0.000 0.002 +ouintard prop 1.000 0.000 0.000 +finds prop 0.501 0.000 0.000 +cavcndish prop 0.213 0.000 0.000 +illinoy prop 0.000 0.000 0.000 +polly"s prop 0.000 0.000 0.000 +kep prop 0.012 0.943 0.000 +richard keppel cavendish prop 1.046 0.000 0.000 +fever prop 1.182 0.000 0.000 +chills prop 0.691 0.009 0.000 +the lady constance prop 0.000 0.255 0.000 +the rhetts prop 0.000 0.000 0.000 +lambeth prop 0.582 0.000 0.000 +one joseph quaid prop 0.000 0.000 0.000 +mr. saul prop 18.550 0.000 0.000 +mr. charles norton prop 0.000 0.000 0.000 +joe quaid prop 0.000 0.000 0.000 +the malroys prop 0.000 0.000 0.447 +colonel fentress prop 7.175 0.000 0.000 +young mr. norton prop 0.500 0.000 0.000 +mas'r charley prop 0.000 0.000 0.000 +charley-- prop 0.000 0.591 0.000 +betty!--i prop 0.000 0.000 0.000 +thicket point prop 0.487 0.000 0.000 +bet prop 3.338 11.866 0.834 +judith ferris prop 0.000 1.700 0.000 +the kentuckian prop 1.139 0.180 0.000 +mas'r carrington prop 0.913 0.000 0.000 +mr. charley prop 0.011 0.000 1.171 +little steve prop 5.340 0.000 0.000 +big steve prop 2.059 0.000 0.000 +mr. bowen prop 2.411 2.315 0.793 +bowen prop 24.802 7.199 0.000 +the judge prop 0.000 0.000 0.000 +mr. betts prop 1.837 0.000 0.000 +betts prop 1.992 0.000 0.350 +mr. wesley prop 4.933 0.000 0.000 +mr. ellison prop 0.221 0.000 0.000 +n't norton prop 0.319 0.000 0.000 +the conservative mahaffy prop 0.000 0.000 0.000 +bayou prop 0.975 0.000 0.000 +mrs. hicks prop 0.000 1.616 4.292 +n't hicks prop 0.254 0.000 0.000 +the wares prop 0.000 0.000 1.145 +hues prop 12.846 0.000 0.000 +hundred americans prop 0.000 0.000 0.000 +his credit prop 0.000 0.000 0.000 +malroy prop 0.000 2.026 0.649 +master hazard prop 0.159 0.000 0.000 +miss bowen prop 0.000 0.478 0.000 +miss eetty prop 0.745 0.000 0.000 +the austere mahaffy prop 1.115 0.000 0.000 +mr. tom prop 1.520 0.001 0.804 +bess hicks prop 0.000 1.440 0.000 +--charley prop 1.180 0.805 0.000 +prisoners prop 0.000 0.000 0.669 +mrs. slossons prop 0.000 0.000 0.000 +george hicks prop 0.000 0.000 0.000 +sherrod prop 0.000 0.000 0.937 +hanniba prop 0.447 0.281 0.000 +sah prop 1.398 0.020 0.000 +scratch hiller prop 0.340 0.000 0.000 +mas'r ca'ington prop 1.705 0.000 0.000 +gatewood prop 5.232 0.000 0.000 +david gatewood prop 0.550 0.000 0.000 +this man gatewood , who between ourselves was a damned scoundrel"--the colonel prop 0.168 0.000 0.000 +fentress-- prop 0.421 0.000 0.000 +drink prop 0.792 0.000 0.000 +general ware prop 0.000 0.000 0.808 +murrell --whom prop 1.041 0.000 0.000 +george's-- prop 0.000 0.000 0.703 +george . prop 2.149 0.000 0.597 +boss hicks prop 0.926 0.000 0.000 +kentuckian prop 0.872 0.000 0.000 +mr. bunker prop 0.000 0.000 0.000 +me?--well prop 0.000 0.000 0.000 +colonel slocum price turberville prop 0.639 0.000 0.000 +de l. wesley prop 0.367 0.000 0.000 +pythias prop 1.116 0.000 0.001 +a quintard prop 0.000 0.000 0.000 +morrow prop 2.091 0.000 0.000 +judge morrow prop 0.865 0.000 0.000 +mr. hues prop 0.452 0.000 0.000 +n't price prop 0.000 0.000 0.000 +proju10.zip prop 0.000 0.000 0.000 +proju11.txt prop 0.000 0.000 0.000 +proju10a.txt prop 0.000 0.000 0.000 +sheringham prop 7.050 0.000 0.001 +mr. sheringham prop 37.250 1.482 2.140 +roger sheringham prop 3.302 0.000 0.231 +mr. ambrose chitterwick prop 2.547 0.000 0.000 +mr. chitterwick prop 39.961 0.520 0.000 +inspector moresby prop 1.391 0.000 0.149 +chief inspector moresby prop 4.265 0.000 0.001 +mr. graham bendix prop 1.000 0.000 0.000 +mrs. graham bendix prop 0.537 0.000 0.000 +mr. bendix prop 14.353 0.000 1.000 +sir charles wildman prop 3.776 0.000 0.562 +alicia dammers prop 0.890 7.106 0.000 +mrs. fielder flemming prop 0.000 0.620 0.000 +miss dammers prop 0.027 41.555 0.703 +mrs. bendix prop 0.236 38.799 0.002 +percy robinson prop 1.579 0.000 0.000 +morton harrogate bradley prop 1.063 0.000 0.109 +mr. morton harrogate bradley prop 0.899 0.000 0.000 +mr. bradley prop 41.781 0.174 1.528 +graham bendix prop 2.047 0.000 0.000 +sir eustace pennefather prop 7.568 0.020 0.000 +sir eustace prop 63.980 4.408 3.320 +bendix prop 34.131 0.000 0.120 +joan cullompton prop 0.275 0.000 0.000 +the bendixes prop 0.000 0.923 0.000 +” moresby prop 0.807 0.000 0.000 +joan bendix prop 0.000 0.000 1.000 +kümmel prop 0.000 0.675 0.000 +kirsch prop 0.250 0.424 0.000 +coma prop 0.169 0.748 0.000 +the bendix prop 0.289 0.000 0.000 +kummel prop 0.000 0.000 0.000 +charles wildman prop 0.000 0.000 0.000 +mrs. fielder - flemming prop 8.528 40.642 0.000 +eustace pennefathers prop 0.000 0.500 0.000 +morton harrogate prop 0.879 0.000 0.000 +“ farrar prop 0.975 0.000 0.000 +eustace penne prop 0.000 0.000 0.000 +mason & sons prop 0.000 0.000 0.000 +lady pennefather prop 2.027 6.351 0.000 +sir charles ’s prop 0.000 0.000 0.000 +marie lafarge prop 0.537 0.000 0.000 +pauline pennefather prop 0.500 0.000 0.000 +the discomfited sir charles prop 1.016 0.000 0.000 +fielder prop 0.000 1.950 0.000 +wallacish prop 0.000 0.000 0.000 +mary ansell prop 0.000 0.000 0.000 +molineux prop 1.987 0.000 0.000 +mr. cornish prop 0.012 0.740 0.000 +cornish prop 0.096 3.247 2.676 +eustace pennefather prop 0.968 0.000 0.000 +mrs. fielder- prop 0.000 0.564 0.000 +flemming prop 0.208 0.701 0.000 +miss wildman prop 0.003 6.667 0.486 +the intrepid mr. bradley prop 0.929 0.052 0.000 +mrs. fielder prop 0.054 1.047 0.000 +the present lady pennefather prop 1.361 0.000 0.000 +the hamilton prop 1.051 0.000 0.000 +mason ’s prop 0.347 0.000 0.000 +mrs. fielder - flemming ’s prop 1.000 0.000 0.000 +mrs. verreker - le - mesurer prop 2.723 7.672 0.000 +poor joan bendix prop 0.001 0.568 0.000 +poor joan prop 0.393 0.000 0.000 +lady cavelstoke prop 0.000 0.617 0.000 +mrs. verreker - le- prop 0.000 0.000 0.000 +mesurer prop 0.000 0.000 0.000 +harfield prop 1.677 0.000 0.000 +sir somebody b prop 0.002 0.743 0.000 +mr. edgar wallace prop 0.000 0.000 0.000 +dr. wilson prop 0.935 0.000 0.000 +the coy mr. bradley prop 0.000 0.000 0.000 +sybil thorndike prop 0.000 0.000 0.000 +mrs. robinson - smythe prop 0.000 0.000 0.000 +christina edmunds prop 0.000 0.000 0.000 +the philosophical mr. bradley prop 0.000 0.000 0.000 +messrs. weall prop 0.529 0.000 0.000 +mr. joseph lea hardwick prop 0.000 0.000 0.000 +joseph lea hardwick prop 0.286 0.000 0.000 +constance kent prop 0.000 0.000 0.000 +adelaide bartlett prop 0.000 0.000 0.000 +œdipus prop 0.000 0.000 0.000 +caylyle harris prop 0.000 0.000 0.000 +helen potts prop 1.062 0.000 0.000 +n’t bendix prop 1.793 0.000 0.000 +graham reynard bendix prop 0.510 0.000 0.000 +chitterwick prop 3.584 0.000 0.879 +miss dammer prop 0.000 0.000 0.000 +vera delorme prop 0.522 0.824 0.000 +miss delorme prop 0.000 0.844 0.000 +mr. chitterwich prop 0.000 0.000 0.000 +the cynical miss dammers prop 0.523 0.000 0.000 +sir eustance prop 0.330 0.340 0.000 +john tawell prop 1.024 0.000 0.000 +sarah hart prop 0.000 0.574 0.524 +sir eustace’s prop 0.000 0.000 0.000 +the negligible miss wildman prop 0.000 0.492 0.000 +jane harding prop 0.000 0.000 0.000 +billy abbott ’s prop 0.000 1.292 0.926 +monika says prop 0.000 0.519 0.000 +future generations prop 0.000 0.000 0.000 +irradiated scholar prop 0.000 0.000 0.000 +jotting prop 0.290 0.000 0.000 +monika said prop 0.000 0.000 0.000 +foe alike prop 0.000 0.577 0.000 +write down prop 0.000 0.000 0.000 +you’re prop 0.000 1.070 0.000 +scribbling perhaps prop 0.000 0.000 0.000 +failures prop 1.017 0.000 0.000 +normal prop 0.000 0.018 0.837 +praise prop 0.644 0.000 0.000 +alexander hubbell prop 2.206 0.000 0.000 +jordache prop 6.712 0.000 0.000 +clothilde prop 9.441 8.868 0.000 +hubbell prop 16.273 0.000 1.278 +monsieur jordache prop 1.529 0.000 0.000 +matin prop 0.859 0.000 0.000 +tommy jordan prop 0.029 0.000 0.485 +l’equipe prop 0.823 0.000 0.000 +rudolph jordache prop 3.410 0.000 0.000 +jean jordache prop 3.919 2.932 0.000 +danovic prop 6.225 0.000 0.874 +wesley jordache prop 1.807 1.002 0.117 +gretchen burke prop 0.000 0.000 0.000 +kate jordache prop 0.000 2.118 0.000 +madame jordache prop 0.096 1.692 0.000 +time magazine prop 0.501 0.036 0.000 +mrs. jordache prop 1.899 1.149 0.000 +mr. jordache prop 6.208 0.000 0.000 +mr. rudolph jordache prop 0.000 0.000 0.000 +” 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0.501 0.096 0.000 +hoelun - eke prop 2.320 7.850 1.285 +arasen prop 1.791 0.010 0.009 +khuda prop 0.519 0.000 0.000 +ghoa prop 0.519 0.007 0.000 +old baghaji prop 0.000 0.340 0.000 +young noyan prop 0.000 0.428 0.099 +temujin noyan prop 0.000 0.000 0.000 +targhutai's prop 0.389 0.000 0.500 +khokakhchin - eke prop 2.066 1.065 0.000 +mother khokakhchin prop 0.000 0.714 0.000 +honoured khatuns prop 0.000 0.000 0.000 +the khongkhotats prop 0.000 3.025 0.000 +“ todogen prop 0.000 0.000 0.000 +an olkhunugud prop 0.435 0.000 0.000 +jamukha prop 244.333 1.321 23.701 +kara khadahan prop 0.000 0.000 0.000 +bartan the brave prop 0.000 0.000 0.000 +the jajirat prop 0.000 0.000 0.000 +the khongkhotat prop 1.114 0.000 0.000 +“ belgutei prop 0.375 0.000 0.000 +kokochu prop 16.877 0.000 0.018 +khadagan prop 0.724 85.985 0.004 +chaghan prop 2.725 4.960 0.000 +chirkoadai prop 3.363 0.000 0.000 +brave khadagan prop 0.000 0.000 0.395 +sorkhan - shira prop 18.717 2.037 0.000 +the suldus prop 0.791 0.000 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0.000 +gurbesu prop 0.010 44.144 0.330 +inancha prop 21.345 6.161 0.000 +inancha bilge prop 0.475 1.690 0.927 +tayang prop 0.019 0.346 0.000 +ta - ta - tonga prop 1.397 1.900 1.285 +the tayang prop 22.839 0.144 0.368 +bai bukha prop 11.489 0.000 5.418 +buyrugh prop 7.972 0.000 5.220 +erke khara prop 2.266 0.000 0.000 +bai prop 0.629 0.952 0.600 +the black khitans prop 0.000 0.000 0.719 +gurbesu - eke prop 0.455 0.000 0.000 +guchlug prop 0.000 1.376 2.080 +uighur prop 0.335 0.289 0.000 +the mongol prop 0.008 0.000 1.335 +the mongol khan prop 2.097 1.582 0.000 +tatar prop 0.000 0.000 1.100 +naiman prop 0.000 0.000 0.000 +ogedei prop 33.742 0.002 3.920 +tolui prop 34.908 4.140 4.828 +the young khatun prop 0.000 0.000 0.000 +teb - tenggeri prop 30.976 2.535 0.103 +megujin prop 0.682 0.000 0.000 +munglik - echige prop 1.540 0.000 0.942 +ong - khan prop 0.057 0.000 0.563 +ja'ud khuri prop 0.004 0.000 0.407 +the jurkins prop 0.621 0.000 0.661 +shigi khutukhu prop 7.082 0.831 0.000 +unggur 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prop 0.000 0.000 1.411 +grandmother iulia prop 0.000 0.308 0.000 +the gansevöorts prop 0.000 0.000 0.723 +elizavetas prop 0.000 0.937 0.000 +the mandragoran prop 0.000 0.000 0.000 +”29 prop 0.000 0.374 0.000 +manfred ’s prop 0.000 0.000 0.000 +martin the elder prop 0.000 0.000 0.000 +ah”—mandrik prop 0.000 0.000 0.000 +wicket prop 0.885 0.000 0.000 +ion gansevoort prop 0.000 0.000 0.470 +good franz nethering prop 0.000 0.000 1.298 +brother gundron prop 0.254 0.000 0.000 +good ion prop 0.299 0.000 0.000 +roof prop 0.000 0.589 0.000 +iulia gansevoort prop 0.000 0.000 0.000 +aunt rose prop 0.000 7.500 0.000 +vashti nethering prop 0.175 0.327 0.000 +shannara prop 11.599 0.000 0.004 +allanon prop 30.627 0.000 1.212 +the shadowen prop 3.581 0.240 4.180 +uhl belk prop 65.554 0.885 9.118 +quickening prop 25.983 120.688 22.606 +eldwist prop 17.175 1.006 11.959 +walker boh prop 101.889 2.142 15.820 +par ohmsford prop 8.017 0.000 0.193 +wren ohmsford prop 0.000 0.848 3.055 +the once - druid 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0.000 0.000 +morgan leah prop 51.950 7.518 7.159 +padishar creel prop 1.921 0.000 3.511 +steff prop 9.458 2.673 0.016 +teel prop 0.000 6.210 2.042 +coll ohmsford prop 3.347 0.000 2.562 +granny elise prop 8.405 0.000 2.769 +auntie jilt prop 0.119 0.000 12.931 +jilt prop 0.025 0.000 0.585 +the dwarves prop 1.137 1.346 1.527 +tyrsis prop 1.021 0.000 0.000 +the valemen prop 0.000 0.000 0.717 +dwarves prop 1.403 0.000 0.000 +major assomal prop 1.278 0.000 0.858 +assomal prop 0.003 0.000 0.782 +commander soldt prop 1.312 0.000 0.000 +soldt prop 1.097 0.000 0.123 +pe ell prop 245.097 2.121 31.355 +rimmer dall prop 36.856 0.000 7.010 +dall prop 3.005 0.000 0.900 +the stiehl prop 7.595 2.790 1.128 +rimmer prop 0.000 0.000 0.000 +shadowen prop 0.492 0.031 1.269 +damson rhee prop 1.380 0.000 0.029 +this walker boh prop 0.914 0.118 0.000 +valeman prop 0.000 0.000 0.000 +damson prop 0.000 12.898 6.482 +the mole prop 2.131 0.000 0.000 +brin prop 1.561 0.000 0.000 +bremen prop 0.000 0.000 0.000 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1.310 0.000 0.000 +the black elfstone prop 1.597 0.000 0.000 +the maw grint prop 3.761 0.000 0.660 +maw grint prop 1.469 0.000 0.000 +the rake prop 0.604 0.000 3.106 +bearish horner dees prop 0.644 0.000 0.000 +tracker prop 0.965 0.000 0.000 +the wilderun prop 0.000 0.000 0.000 +grimpen ward prop 0.000 0.000 1.553 +the addershag prop 0.398 0.498 0.000 +the westland elves prop 0.000 0.361 0.000 +“ walker boh prop 0.508 0.000 0.000 +ohmsfords prop 0.000 0.000 0.000 +black elfstone prop 0.875 0.000 0.000 +disappeared paranor prop 0.000 0.000 0.000 +rake prop 0.894 0.000 0.000 +dismay prop 0.524 0.000 0.000 +disappeared prop 1.047 0.000 0.000 +koden prop 1.663 0.000 0.000 +ophiuchi prop 0.000 0.000 0.000 +counselor prop 0.000 0.999 0.000 +deanna troi prop 0.000 3.254 0.000 +troi prop 0.073 215.972 25.600 +tukurpa prop 0.000 0.628 0.000 +dr. crusher prop 0.000 0.001 6.346 +ensign wesley crusher prop 0.000 0.000 0.550 +worf prop 166.024 0.000 21.373 +captain picard prop 3.520 3.036 0.000 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2.011 +master kwan prop 10.157 0.000 1.315 +mr. bucklin prop 5.545 0.000 0.000 +captain sangree prop 6.844 0.000 0.603 +sangree prop 18.510 0.000 7.063 +lorena prop 0.000 4.711 0.806 +rolf mentzer prop 0.518 0.000 0.000 +mentzer prop 0.574 0.000 0.000 +john roebling prop 0.255 0.540 0.000 +old john roebling prop 1.421 0.000 0.000 +tommy - boy prop 0.205 0.000 0.845 +cleaver prop 0.464 0.000 0.000 +dixzee prop 0.000 0.000 0.000 +thaddeus sangree prop 0.824 0.000 0.000 +the present prop 0.000 0.000 0.000 +captain coffin prop 1.341 0.000 0.000 +august coffin prop 1.617 0.000 0.000 +mrs. bucklin prop 0.000 6.559 1.490 +detective braddock prop 4.275 0.000 0.000 +patricia bucklin prop 0.000 3.986 0.000 +eamon bucklin prop 0.005 0.000 1.257 +eamon prop 12.933 0.000 0.407 +julia tompkins prop 0.536 0.000 0.000 +little mikey prop 0.486 0.000 0.000 +tommy gallagher prop 0.413 0.000 0.000 +lasher prop 32.635 0.000 0.938 +the bucklins prop 0.000 0.758 2.342 +mike bucklin prop 4.211 0.000 0.000 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0.000 1.000 +george templeton prop 0.281 0.000 0.000 +old abe prop 1.423 0.000 0.533 +august j. coffin prop 0.000 0.000 0.000 +chowder prop 27.147 0.000 3.053 +chowder kelly prop 1.481 0.000 0.000 +thomas byrnes prop 0.227 0.000 0.787 +byrnes prop 78.048 0.000 6.684 +a daniel webster prop 0.481 0.000 0.000 +father o’brien prop 0.284 0.000 0.000 +the loftuses prop 0.000 0.000 1.304 +madame lefarge prop 0.000 0.997 0.000 +lefarge prop 0.000 0.000 0.000 +finney prop 55.063 0.000 0.749 +sergeant braddock prop 0.484 0.000 0.000 +james hightower prop 0.546 0.000 0.000 +little round top prop 0.000 0.000 0.000 +simon watkins prop 0.001 0.000 1.277 +mr. long prop 4.680 0.978 0.840 +detective tom braddock prop 0.659 0.000 0.000 +lynn mccloughic prop 0.000 0.000 0.000 +the rotinis prop 0.000 0.000 0.500 +rotellis prop 0.000 0.000 0.500 +miss clora devine prop 0.000 1.331 0.000 +mr. hightower prop 0.216 0.000 0.000 +mrs. emily roebling prop 0.001 0.748 0.000 +mr. braddock prop 8.297 0.000 0.000 +a 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cavilleri prop 0.000 0.696 0.000 +t’resa verna cavilleri prop 0.000 0.000 0.000 +miss joanna stein prop 0.000 0.949 0.000 +bob hayes prop 0.000 0.000 0.000 +mr. baritone prop 0.000 0.000 0.000 +marcie nash prop 0.000 5.581 0.000 +pancho b. gonzales prop 0.000 0.422 0.000 +speedy gonzales prop 0.000 0.387 0.000 +miss marcie nash prop 0.000 3.311 0.000 +stan kowalski prop 0.000 0.000 0.000 +merry sunshine prop 0.000 1.011 0.000 +miss narcie mash prop 0.000 0.000 0.000 +miss nash prop 0.000 0.000 0.848 +whambam prop 0.000 0.306 0.000 +mr. barrett prop 1.365 0.000 1.403 +meursault prop 0.000 0.000 0.000 +fortas prop 0.000 0.000 0.000 +madame marcie nash prop 0.000 1.062 0.000 +jackie stewart prop 1.363 0.000 0.000 +emilio ascarelli prop 1.000 0.000 0.000 +cesar chavez prop 1.000 0.000 0.000 +lawyer barrett prop 0.000 0.586 0.000 +dr. stein prop 34.938 0.000 0.000 +harold baye prop 0.928 0.000 0.201 +jacqueline onassis prop 0.000 0.000 0.000 +old petie clark prop 0.000 0.000 0.669 +petie 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prop 0.000 0.000 0.000 +annie gilbert prop 0.000 0.000 0.000 +harper latham prop 0.071 0.327 0.000 +bellisaro prop 28.350 0.000 0.000 +luke youngdeer prop 0.823 0.538 0.688 +dr. chamberlain prop 2.917 0.518 0.000 +trey marcus prop 0.004 0.426 0.000 +john west prop 4.722 2.170 0.000 +hardy denton prop 9.406 0.000 0.002 +evangeline jones prop 0.005 4.414 0.000 +eva jones prop 0.004 11.707 1.780 +francisco lewis prop 2.868 1.046 0.000 +steven nemo prop 4.475 0.000 3.350 +lindsay ’s prop 0.000 4.814 1.256 +juliana welton prop 0.000 0.388 0.000 +gina fairfax prop 0.000 0.000 0.000 +jeff kendall prop 0.000 0.000 0.772 +gina prop 2.653 21.753 6.405 +fabric prop 0.000 0.000 0.000 +juliana prop 4.175 42.044 5.809 +juli prop 0.000 85.198 2.667 +king - smith - falcon prop 0.000 0.000 3.087 +bobbie lacayo prop 0.000 0.947 0.000 +sarah donovan prop 0.301 0.000 0.000 +lieutenant damon prop 3.315 0.000 1.491 +carolyn taylor prop 0.000 0.361 0.000 +frank carter prop 0.118 0.422 0.000 +st. magdalena 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0.631 +valdemar prop 1.059 33.211 13.564 +privately prop 0.000 0.000 0.000 +she‘enedra prop 0.008 0.248 0.746 +thing prop 0.000 0.000 0.505 +hadell prop 0.000 0.000 0.000 +the noble tarma shena tale‘sedrin prop 0.319 0.000 0.000 +kethryveris prop 0.946 0.000 0.000 +raschar prop 11.690 0.000 2.006 +petras prop 0.041 1.026 0.000 +kathal prop 0.000 0.719 0.000 +kehry prop 0.000 0.393 1.000 +master flutterby prop 0.000 0.000 0.000 +warrl ’s prop 0.861 0.000 0.000 +dust prop 1.109 0.000 0.000 +king raschar prop 1.355 0.000 0.000 +lady kethryveris prop 0.000 1.142 0.000 +master jadrek prop 0.095 0.626 0.000 +the lady idra prop 0.000 0.498 0.000 +tindel prop 4.933 0.000 4.845 +a shin‘a’in prop 0.000 0.509 0.000 +randel prop 0.000 1.160 0.000 +shin‘a’in swordsworn prop 0.998 0.000 0.000 +wethes prop 0.000 0.796 0.000 +prince stefansen prop 1.386 0.000 0.000 +countess lyris prop 0.000 0.000 0.000 +stefansen prop 14.617 0.047 6.153 +the honest’—he prop 0.690 0.000 0.000 +king destillion prop 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0.000 0.000 +mrs. fiske prop 0.000 2.395 1.118 +franklin harbershire prop 0.891 0.000 0.000 +harbershire prop 1.658 0.000 0.000 +charles britt prop 2.603 0.000 0.000 +britt prop 30.403 0.243 1.330 +haffikine prop 0.000 0.000 0.000 +john brady prop 0.351 0.000 0.000 +darver prop 0.654 0.000 0.000 +the gilas prop 0.464 0.000 0.000 +gilas prop 0.000 0.000 1.018 +demon prop 1.860 1.267 0.000 +lieutenant spano prop 1.957 0.000 0.000 +spano prop 1.786 0.000 0.437 +greg ’s prop 1.516 0.000 0.000 +kanis prop 5.605 0.000 0.143 +geoffrey kanis prop 0.527 0.000 0.000 +mcnally prop 1.047 0.000 0.000 +samuel potter prop 1.413 0.000 0.000 +sam potter prop 0.000 0.000 0.000 +mr. tanner prop 1.647 0.588 0.000 +ma’ll prop 0.000 0.000 0.000 +jerry potter prop 0.000 0.000 0.000 +henry soames prop 1.157 0.000 0.000 +miss akers prop 1.040 0.000 0.838 +mermoz prop 0.001 0.000 0.899 +father dearth prop 0.405 0.000 0.000 +tanner ’s prop 0.275 0.000 0.000 +hell tanner prop 0.331 0.000 0.000 +trefusis prop 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0.799 0.000 0.000 +rhett - butler prop 0.000 0.000 0.000 +mrs. stout prop 0.000 1.289 1.158 +wilsons prop 1.393 0.000 0.000 +kay wilson prop 0.000 1.675 1.712 +joey deem prop 3.325 0.000 0.000 +bill wilson prop 0.862 0.000 0.584 +ned bowman prop 1.930 0.000 0.041 +mrs. deem prop 0.266 1.753 0.000 +sandra deem prop 0.000 4.738 0.000 +ban prop 0.000 0.000 0.000 +dick block prop 0.000 0.000 0.000 +jerry deem prop 2.567 0.000 0.000 +deem prop 9.809 0.000 0.385 +how - ard johnson prop 0.000 0.000 0.000 +mr. deem prop 0.015 0.387 0.000 +ol’ kay prop 0.000 0.735 0.000 +old dot fisher prop 0.000 0.991 0.000 +… crane prop 0.584 0.000 0.000 +iznee prop 0.196 0.000 0.000 +hyo - boy prop 0.000 0.000 0.000 +crystal - marie prop 0.000 0.000 0.000 +the ayatollah fenton prop 0.330 0.000 0.000 +phil hopkins prop 0.000 0.000 0.000 +timothy j. callahan prop 0.000 0.000 0.000 +… fenton prop 0.780 0.000 0.000 +mr. mcwhirter prop 0.761 0.000 0.000 +miz compton prop 0.487 0.000 0.000 +mrs. trefusis prop 0.000 0.000 0.000 +mr. lovecraft prop 0.000 0.000 0.000 +mafia staff car prop 0.000 0.000 0.000 +willl prop 0.000 0.000 0.000 +tad purcell prop 0.947 0.000 0.000 +the greco prop 0.000 0.000 0.000 +mcwhirter ’s prop 0.000 0.000 0.000 +william wilson prop 0.000 0.000 0.000 +whitney tarkington prop 1.948 0.000 0.000 +grams prop 0.000 0.000 0.000 +price chopper prop 0.834 0.000 0.000 +mr. fenton mcwhirter prop 0.000 0.000 0.000 +the deems prop 0.000 0.000 0.725 +dave myers prop 0.468 0.000 0.000 +mrs. fishers prop 0.000 0.000 0.000 +petes prop 0.000 0.000 0.000 +lieutenant bowman prop 0.702 0.000 0.000 +… dot prop 0.000 1.260 0.000 +crane " quite - a - guy " trefusis prop 0.412 0.000 0.000 +mel glempt prop 2.755 0.000 0.000 +glempt prop 5.708 0.000 0.000 +patrolman lyle barner prop 0.619 0.000 0.000 +… mcwhirter prop 2.211 0.000 0.000 +lyle barner prop 2.599 0.000 0.000 +barner prop 1.000 0.000 0.000 +mathew brady prop 0.000 0.000 0.000 +fels - naphtha prop 0.000 0.000 0.000 +clyde boo prop 0.000 0.000 0.000 +hugh carey prop 0.500 0.000 0.000 +dale overdorf prop 1.462 0.000 0.000 +overdorf prop 3.877 0.000 0.000 +ol’ crane prop 0.000 0.000 0.000 +a building supply guy who found out some goddamn smart - ass who worked for him prop 0.225 0.000 0.000 +bill kerwin prop 0.000 0.000 0.000 +polly parton prop 0.000 0.000 0.000 +nyaah prop 0.000 0.000 0.000 +milton hahn prop 0.000 0.000 0.000 +officer bowman prop 0.390 0.026 0.000 +detective bowman prop 1.167 0.000 0.000 +the ned bowman prop 0.000 0.000 0.000 +bowman the bunny hutch prop 0.000 0.000 0.000 +gary moyes prop 0.000 0.000 0.000 +moyes prop 0.000 0.000 0.000 +deem – wilson prop 0.000 0.000 0.000 +buel prop 0.000 0.000 0.000 +harvey milk prop 0.324 0.000 0.000 +ol’ fenton prop 1.000 0.000 0.000 +geddada prop 0.289 0.000 0.000 +capeesh prop 0.000 0.000 0.000 +buffalo bob smith prop 0.000 0.000 0.000 +richard wilbur prop 0.359 0.000 0.000 +mike calabria prop 0.000 0.000 0.000 +mike big prop 0.549 0.000 0.000 +yalies prop 0.000 0.000 0.000 +tom bittner prop 1.079 0.000 0.000 +brewers prop 0.000 0.000 0.000 +heimie prop 0.223 0.000 0.000 +donald m. strachey prop 0.466 0.000 0.000 +— zeppo prop 0.579 0.000 0.000 +mister sweetmouth prop 0.000 0.000 0.000 +clean callahan prop 0.000 0.000 0.000 +king hussein prop 0.000 0.424 0.000 +lee iacocca prop 0.049 0.374 0.000 +a - guy " trefusis prop 0.000 0.000 0.000 +neut pryzby prop 0.816 0.000 0.000 +mrs. greco prop 0.000 1.515 0.000 +artur prop 0.000 0.000 0.000 +newell bankhead prop 0.872 0.091 0.000 +artur ’s prop 0.468 0.000 0.000 +bankhead prop 0.352 0.723 0.000 +biff mcguirk prop 0.644 0.000 0.000 +mr. lawrence banff prop 0.000 0.000 0.000 +mr. banff prop 0.000 0.000 0.000 +alice blue prop 0.000 0.000 0.000 +mr. crane trefusis prop 0.000 1.342 0.000 +harry smight prop 0.000 0.000 0.000 +ruby gentry prop 0.925 0.000 0.000 +boyce prop 0.000 0.353 0.000 +art tatum prop 0.000 0.501 0.000 +sweet lorraine prop 0.000 0.000 0.000 +mr. bankhead prop 0.000 0.285 0.000 +martin fiori prop 0.406 0.000 0.000 +martin’ll prop 0.000 0.000 0.000 +buddy strunk prop 0.000 0.000 0.000 +dr. vincent prop 1.344 0.000 0.000 +dr. charles vincent prop 0.972 0.000 0.000 +duane andrus prop 3.914 0.000 0.146 +andrus prop 4.748 0.000 0.000 +karner prop 0.371 0.000 0.000 +lyle ’s prop 0.371 0.000 0.000 +glen andrus prop 1.009 0.000 0.000 +andruses prop 0.000 0.000 2.135 +strakey prop 0.413 0.000 0.000 +mista strakey prop 0.413 0.000 0.000 +annabelle clooney prop 0.000 0.000 0.000 +mr. strakey prop 1.261 0.000 0.000 +mr. murchison prop 2.281 0.000 0.000 +la briquet prop 0.429 0.000 0.000 +heather deem prop 0.000 0.000 0.000 +the andruses prop 0.402 0.000 0.000 +charles major prop 0.000 0.000 0.000 +baron clyde prop 0.297 0.000 0.919 +count anthony prop 1.562 0.000 0.000 +the clydes prop 0.000 0.000 0.000 +king charles i prop 0.719 0.000 0.012 +mesdames potiphar prop 0.000 0.000 0.000 +samsons prop 0.000 0.000 0.000 +comte de grammont prop 0.715 0.000 0.000 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0.000 0.000 +william wentworth prop 0.000 0.000 0.000 +poor old roger prop 0.000 0.000 0.000 +young wentworth prop 0.982 0.000 0.000 +rowley prop 2.550 0.000 0.212 +old rowley prop 0.000 0.000 0.000 +sir rowley prop 0.000 0.608 0.000 +count grammont prop 0.000 0.000 0.000 +grammont prop 1.823 0.000 0.000 +mistress stuart prop 0.899 0.000 0.000 +castlemain prop 0.000 8.906 0.000 +bandylegged prop 0.000 0.717 0.371 +little solomon prop 0.000 0.000 0.000 +ugly prop 0.000 2.051 0.000 +old swan prop 0.000 0.376 0.000 +henry pickering prop 1.351 0.000 0.000 +betty pickering prop 0.000 1.768 0.581 +nelly gwynn prop 0.000 1.905 0.378 +backwell prop 0.000 0.000 0.000 +mistress betty prop 0.623 0.000 0.000 +ugly john prigg prop 0.000 0.000 0.000 +stupid little short prop 0.000 0.000 0.000 +lord monmouth prop 0.000 0.455 0.000 +master george hamilton prop 0.454 0.000 0.000 +mistress gwynn prop 1.744 0.580 0.772 +sundridge prop 0.000 0.000 0.000 +rowley dear prop 0.000 0.342 0.000 +poor frances 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0.027 1.001 0.000 +nell hastings prop 0.005 6.413 0.000 +poor madge prop 0.000 0.950 0.000 +mrs. hastings prop 2.752 7.998 0.000 +n’t ann prop 0.000 0.644 0.000 +mr. lexie prop 0.591 2.695 0.000 +mrs. drool prop 3.436 2.083 0.001 +lord antiger prop 0.000 0.000 0.000 +binnory prop 14.582 0.005 2.371 +mr. drool prop 2.793 0.004 0.000 +mrs. drool ’s wyandottes prop 0.000 0.073 0.919 +corporal dick prop 4.202 3.861 0.000 +granfer dick prop 2.131 0.000 2.005 +sister joan prop 0.000 0.000 0.000 +doctor twickenham prop 0.000 0.946 0.000 +richard’—so prop 0.000 0.438 0.000 +squire john prop 0.079 0.000 1.669 +squire ralph prop 0.287 0.000 0.000 +sir benjamin prop 0.773 0.000 0.000 +john ashover prop 0.335 0.000 0.000 +joan ashover prop 0.000 1.450 0.000 +dorsal prop 0.000 0.000 0.491 +iamblicus prop 0.253 0.000 0.000 +ann ’ prop 0.506 0.280 0.727 +the reverend william prop 0.938 0.000 0.000 +cæsarean prop 0.000 1.479 0.000 +nell dear prop 0.792 0.000 0.000 +poor dear lexie prop 0.868 0.000 0.000 +rook ’s prop 1.000 1.395 0.000 +netta dear prop 0.170 0.236 0.000 +netta darling prop 0.176 1.146 0.000 +miss page prop 0.000 31.194 0.000 +the diplomatic lord poynings prop 0.000 0.000 0.900 +semele prop 0.000 0.000 0.000 +mænads prop 0.000 0.000 0.000 +hebrus prop 0.000 0.000 0.000 +timothy edward foraker prop 0.000 0.939 0.000 +timothy edward prop 0.000 0.000 0.553 +rook dear prop 0.000 4.352 0.000 +magna mater prop 0.000 1.000 0.383 +bona dea prop 0.000 0.000 0.000 +lord harry poynings prop 0.858 0.000 0.000 +missy sparrow prop 0.000 1.394 0.000 +missy sparrow - hawk prop 0.000 2.386 0.000 +lady ann poynings prop 0.000 0.000 0.000 +the gentle sir robert prop 0.000 0.000 0.000 +florrie prop 19.292 49.338 8.848 +net prop 0.153 0.806 0.000 +childe roland prop 0.000 1.000 0.835 +monsieur voltaire prop 0.000 0.567 0.000 +parson hastings prop 0.815 0.000 0.000 +martha vabbin prop 1.693 1.433 0.000 +good king wenceslaus prop 0.964 0.024 0.000 +king wenceslaus prop 0.000 1.866 0.000 +cousin ann ’s prop 0.000 0.985 0.000 +mrs. vabbin prop 0.683 0.255 0.863 +drool prop 0.000 1.282 0.468 +ash’ver old pyke prop 0.000 0.000 1.000 +mr. ashover prop 2.963 4.479 0.000 +blackmore prop 0.000 0.000 0.000 +mrs. drool ’s prop 0.000 1.000 0.000 +aunt edith prop 0.334 0.000 0.000 +mister pod prop 0.000 0.000 0.491 +ann poynings prop 0.576 0.598 0.000 +the drools prop 0.886 0.000 0.000 +antiger great prop 1.433 0.000 0.000 +master lexie prop 0.126 1.433 0.000 +gammer bellamy prop 0.000 0.584 0.000 +martin pod prop 0.000 0.804 0.506 +squire’ll prop 0.000 0.357 0.000 +nancy cooper prop 0.109 1.017 0.084 +immanuel prop 2.571 1.019 0.000 +a paracelsus prop 0.254 0.000 0.000 +the invalid lexie prop 0.000 0.446 0.000 +the ashovers prop 0.000 0.000 1.387 +chimæras dire prop 0.000 1.527 0.000 +phœnix prop 0.000 0.000 1.000 +space prop 0.000 0.000 0.000 +mr. richard ashover prop 0.000 0.000 0.000 +tishmarsh prop 0.352 0.000 0.000 +twiney prop 6.868 1.249 1.403 +young tishmarsh prop 0.006 0.578 0.000 +mr. twiney prop 16.844 0.160 6.632 +gippoo cooper prop 0.000 0.000 0.000 +black pig prop 0.000 0.000 0.000 +peter twiney prop 0.006 0.000 1.063 +mr. tishmarsh prop 1.786 0.000 0.000 +lady ashover prop 0.773 0.000 0.000 +mr. peter twiney prop 0.000 0.000 0.000 +rook darling prop 0.000 0.678 0.000 +the reverend william hastings prop 0.333 1.000 0.000 +old betsy prop 0.015 3.490 0.000 +squire ashover prop 0.857 0.238 0.000 +squire’d prop 0.000 1.486 0.000 +colpepper thomas prop 0.517 0.000 0.000 +squire rook prop 0.901 0.000 0.000 +betsy cooper prop 1.139 4.873 0.636 +phorkyads prop 0.892 0.000 0.000 +the william hastings prop 0.000 0.000 0.000 +old betsy cooper prop 0.000 0.903 0.000 +mister hastings prop 0.406 0.626 0.000 +mr. twiney—“you prop 0.000 0.315 0.000 +lady ann ashover prop 0.000 0.000 0.000 +pod prop 2.537 0.000 0.515 +mr. pod prop 7.781 0.017 1.000 +king charley prop 0.000 0.439 0.000 +lady anil prop 0.000 0.852 0.000 +nell ’s prop 1.567 1.461 0.000 +lady ann ’s prop 0.000 1.524 0.000 +mr. twiney ’s prop 1.000 0.000 0.000 +toll - pike prop 0.524 0.000 0.000 +— rook prop 0.000 0.446 0.000 +nelly dear prop 0.735 0.000 0.000 +squire ash’ver prop 2.160 0.000 0.000 +witch nancy prop 0.000 0.000 0.632 +auntie betsy prop 0.000 0.649 0.000 +dilly drool prop 0.000 0.000 0.000 +dearest rook prop 0.000 0.000 0.000 +binnory drool prop 0.294 0.000 0.000 +comber prop 0.336 0.000 0.000 +end prop 1.034 0.000 0.000 +brother rook prop 1.764 0.000 0.000 +toll - prop 0.000 0.000 0.000 +ygdrasil prop 0.000 0.000 0.000 +ash’ver prop 0.000 0.000 0.738 +missy hastings prop 0.000 0.000 0.908 +mr. ash’ver prop 0.000 0.000 0.000 +ashovers prop 0.123 0.294 0.000 +titty prop 0.000 0.930 0.175 +‘ foulden prop 0.391 0.000 0.000 +a kind of wandering jew , with a consciousness entirely made up of the vague , faint , half - human impressions of loneliness , a person prop 0.000 0.000 0.000 +dear rook prop 0.417 0.000 0.000 +bet cooper prop 0.000 0.426 0.000 +poor binnory prop 0.000 1.140 0.000 +betsy lass prop 0.000 0.000 0.000 +lady ash’ver prop 0.000 0.000 0.000 +granny cooper prop 0.000 0.000 0.000 +blackmore pack prop 0.303 1.373 0.000 +the embarrassed mr. pod prop 0.442 0.000 0.000 +auctor prop 0.000 0.000 0.000 +rook”—and prop 0.000 0.000 0.782 +lyra prop 0.567 0.000 0.000 +foulden prop 0.000 0.000 0.000 +mrs. pod prop 1.009 0.000 0.000 +the netta prop 0.000 1.000 0.000 +lovejoy prop 0.000 1.607 0.000 +the marquis of carabas prop 0.000 1.528 0.000 +74–77 prop 0.000 0.000 0.000 +wc1b 3da prop 0.000 0.000 0.000 +28699–7 prop 0.000 0.000 0.000 +molly bonner prop 0.000 8.655 0.000 +dr. douglas macklin prop 1.853 0.140 0.000 +dr. summers prop 2.193 0.006 0.000 +dr. edgar shapiro prop 0.000 1.404 0.000 +paul west prop 0.000 1.499 0.000 +dr. macklin prop 13.632 8.368 0.835 +felicia flood prop 0.000 1.964 0.482 +dr. raleigh sanderson prop 5.362 0.000 0.000 +dr. sandy ’s prop 0.000 0.428 0.000 +dave jacobs prop 4.046 2.283 2.878 +david jacobs prop 2.183 1.390 0.000 +sandy sanderson prop 0.000 0.527 0.000 +henry starck prop 4.575 3.924 0.000 +dr. sanderson prop 3.624 0.000 0.000 +raleigh sanderson prop 5.500 3.574 0.000 +swan ’s prop 0.000 0.507 0.000 +the tetons prop 0.000 0.586 0.000 +commie castro prop 0.000 0.854 0.000 +rwandans prop 0.000 0.333 0.000 +haitians prop 0.000 0.333 0.000 +dr. david jacobs prop 0.850 1.000 0.000 +pauling prop 0.306 0.000 0.000 +linus pauling prop 0.000 0.000 0.000 +lively prop 0.777 0.000 0.000 +connie knowles prop 0.001 1.198 0.000 +durham prop 0.017 1.814 0.000 +dr. raleigh prop 0.000 0.688 0.000 +miss felicia flood prop 0.668 0.000 0.000 +dr. dave jacobs prop 0.576 0.000 0.000 +sandy darling prop 0.377 0.000 0.000 +jane white prop 0.000 2.220 0.000 +dr. bluestone prop 1.000 0.000 0.000 +bluestone prop 0.000 0.364 0.429 +a mrs. miller prop 0.000 0.000 0.000 +mrs. miller prop 0.000 3.842 0.543 +boyd bonner prop 0.000 0.328 0.308 +sweet briar may prop 0.000 0.000 0.636 +the starcks prop 0.000 0.000 0.546 +dr. starck prop 0.523 0.000 0.000 +kitschy prop 0.889 0.116 0.000 +douglas macklin prop 0.822 6.267 0.000 +dr. beckle prop 1.659 2.197 0.875 +beckle prop 0.090 0.301 0.000 +egos prop 0.000 0.000 0.000 +alfred beckle prop 0.000 0.000 0.000 +daves prop 1.508 0.000 0.000 +dr. morris prop 0.150 0.230 0.000 +mrs. winter prop 0.150 0.230 0.000 +mrs. steffins prop 0.585 0.159 0.000 +stinger prop 2.344 0.051 0.913 +dr. stinger prop 4.685 5.831 0.000 +dr. mark stinger prop 0.000 0.000 0.000 +craig stuart prop 1.732 0.000 0.000 +dr. jack chandler prop 0.000 0.000 0.410 +dr. chandler prop 1.921 0.112 0.000 +jack chandler prop 0.738 0.023 0.187 +sloan jeffers prop 0.000 0.000 0.000 +edwin fredericks prop 0.781 0.660 0.000 +dr. allen prop 0.646 0.000 0.000 +the powerses prop 0.000 0.461 0.447 +mrs. powers prop 0.000 0.461 0.447 +dr. murphy prop 1.033 0.000 0.000 +the farwells prop 0.000 0.000 0.705 +josh flood prop 0.000 0.000 0.981 +sandy?—that prop 0.000 1.856 0.000 +sandy—‘someone prop 0.376 0.000 0.000 +polyps prop 0.000 0.011 0.538 +mrs. bonner prop 1.268 7.617 0.745 +ca”—dave prop 0.000 1.033 0.000 +dr. tanamini prop 0.199 2.041 0.000 +dear molly prop 0.000 0.000 0.000 +mt. watson prop 0.000 0.000 0.000 +dr. william donovan prop 0.000 0.000 0.000 +dr. bill donovan prop 1.271 0.004 0.000 +dr. donovan prop 0.118 3.472 0.000 +the nra prop 0.000 0.541 0.000 +greedy felicia prop 0.000 0.356 0.000 +mol prop 0.000 0.001 0.778 +dr. duveneck prop 0.000 0.000 0.749 +duveneck prop 0.000 0.000 0.000 +jane stinger prop 0.000 2.731 0.000 +knowles ) sanderson prop 0.000 0.000 0.000 +the sandersons prop 0.000 0.000 0.498 +jane mcbride stinger prop 0.000 0.000 0.430 +dr. wainwright prop 0.523 0.000 0.000 +bob weinberger prop 0.000 0.000 0.000 +belle sanderson prop 1.757 0.000 0.000 +old durham prop 0.000 0.000 0.000 +bates ) sanderson prop 0.000 0.000 0.000 +gary solomon prop 0.000 0.000 0.000 +eric winston prop 0.000 0.000 0.555 +dave ’s prop 0.000 0.060 0.993 +dr. shepherd prop 2.366 2.570 0.000 +mark hopkins prop 0.000 0.000 0.000 +terrible prop 0.052 0.000 1.000 +mr. blank prop 0.000 0.000 0.532 +licia prop 0.000 1.044 0.053 +susie flood prop 0.000 0.000 0.317 +alton smith prop 0.533 0.000 0.000 +joe esherick prop 0.000 0.000 0.000 +mark stinger prop 1.372 0.000 0.000 +tara tanamini prop 0.429 0.279 0.000 +edgar shapiro prop 0.000 0.813 0.791 +max frisch prop 0.424 0.000 0.000 +mary gaitskill prop 0.000 0.000 0.000 +mavis gallant prop 0.000 0.250 0.000 +mrs. gaspell prop 0.000 0.250 0.000 +mary gordon prop 0.000 0.596 0.000 +e. shapiro prop 0.002 1.838 0.000 +ruth rendell prop 0.000 0.346 0.000 +carl hiaasen prop 0.000 0.346 0.000 +edgar box prop 0.000 0.000 0.000 +starck prop 0.632 0.000 0.000 +harry degroot prop 0.268 0.000 0.000 +matthew bonner prop 0.000 0.605 0.000 +connie sanderson prop 0.000 0.000 2.703 +california?—connie prop 0.000 0.000 0.000 +this henry starck prop 0.329 0.884 0.000 +the forbeses prop 0.495 0.000 0.000 +sarah lowenstein prop 0.000 1.117 0.000 +ray rose prop 0.570 0.000 0.000 +philip guston prop 0.000 0.000 0.000 +diebenkorn prop 0.000 0.000 0.000 +tactful prop 0.068 0.000 0.857 +old connie prop 0.000 0.946 0.000 +darling henry prop 0.000 0.383 0.000 +dr. fink prop 0.000 0.000 0.000 +this fink prop 1.157 0.000 0.000 +matthew west prop 0.000 0.368 0.000 +felish prop 0.000 0.000 0.000 +dr. dave prop 0.001 0.992 0.000 +that molly bonner prop 0.697 0.645 0.000 +matthew’d prop 0.441 0.000 0.000 +r. milhous nixon prop 0.659 0.000 0.000 +silly connie prop 0.000 0.536 0.000 +layman prop 1.088 0.000 0.000 +sunday champagne prop 0.682 0.000 0.000 +brunch prop 0.682 0.000 0.000 +francine prose prop 0.000 0.000 0.000 +the misses parkers prop 0.000 0.000 1.000 +henry darger prop 0.000 0.000 0.305 +kate greenaway prop 0.000 0.806 1.787 +bas - thornton family prop 0.000 0.000 0.305 +mr. thornton prop 14.719 0.000 3.257 +mrs. thornton prop 0.006 19.826 4.605 +captain jonsen prop 18.159 1.012 0.000 +louisa dawson prop 0.000 2.056 0.000 +jonsen prop 53.398 7.332 10.582 +william golding prop 0.000 0.000 0.000 +the miss parkers prop 0.000 0.000 0.000 +the bas - thorntons prop 0.000 0.000 0.000 +mr. bas - thornton prop 1.253 0.168 1.000 +bas - thornton children prop 0.000 0.000 0.000 +kitty cranbrook prop 0.324 0.000 0.000 +liddlies prop 0.609 0.000 0.755 +duppy prop 1.044 0.000 0.000 +anansi prop 1.000 0.000 0.936 +quacko prop 1.167 0.000 0.000 +schottische prop 0.762 0.237 0.000 +bas - thorntons prop 0.000 0.000 0.560 +thin prop 0.000 0.000 0.864 +margaret fernandez prop 0.000 3.096 0.000 +jimmie fernandez prop 0.000 0.342 0.000 +smell prop 0.000 0.000 0.000 +earthquake prop 0.000 0.358 0.000 +dathan prop 0.000 0.500 0.000 +abiram prop 0.000 0.500 0.000 +lame - foot sam prop 1.324 0.000 0.000 +fat betsy prop 0.840 1.393 0.000 +the thornton children prop 0.000 0.000 0.828 +baby emily prop 0.000 1.304 0.000 +marpole prop 16.900 0.000 2.728 +the liddlies prop 0.806 0.000 0.762 +my dearest prop 0.421 0.000 0.000 +parents,—the prop 0.421 0.000 0.000 +captain marpole prop 3.242 0.000 0.000 +young henry marpole prop 0.966 0.000 0.000 +jacko the monkey prop 0.567 0.000 0.000 +the clorinda prop 0.500 0.000 0.000 +ow!—laura prop 0.000 0.000 0.000 +marghie prop 0.000 1.698 0.000 +marghie ’s prop 0.000 0.000 0.000 +captain allen prop 0.000 0.000 0.688 +hebelettes prop 0.625 0.000 0.000 +zomfanelia prop 0.000 0.000 0.968 +them?—lieber gott prop 0.000 0.000 0.000 +parson audain prop 1.439 0.000 0.000 +audain prop 0.519 0.000 0.000 +emily bas - thornton prop 0.000 0.944 0.000 +emily thornton prop 0.000 0.880 0.000 +emilee prop 0.000 1.524 0.000 +emily emily prop 0.000 0.000 0.000 +ferndale prop 0.000 1.515 0.000 +sharks prop 0.000 0.000 0.000 +old josé prop 1.000 0.000 0.000 +guai prop 0.567 1.317 0.000 +mr. barnum prop 0.000 0.000 0.000 +iii prop 0.652 0.354 0.626 +christian soldiers prop 0.000 0.839 0.083 +bretheren prop 0.000 0.000 0.000 +lizzie green prop 2.137 0.000 0.000 +the lizzie green prop 0.000 0.520 0.000 +the thorntons prop 0.000 0.000 0.000 +vaughan prop 60.538 0.000 5.906 +little emily prop 0.000 0.263 0.000 +mrs. bas - thornton prop 0.000 0.000 0.000 +up - jenkins prop 0.000 0.000 0.934 +mr. mathias prop 2.902 5.198 1.167 +miss fernandez prop 1.571 0.000 0.000 +smarty prop 1.294 0.001 0.000 +captain vandervoort prop 0.000 0.247 1.446 +watkin prop 0.676 0.000 0.000 +pr6015.u35h5 prop 0.000 0.000 0.000 +v1.0 prop 0.000 0.000 0.000 +kiyoko lerner prop 0.000 0.000 0.000 +grady hummacher prop 30.148 1.380 0.002 +hummacher prop 18.148 3.486 1.720 +hombres prop 0.000 0.000 2.604 +yaviza prop 0.000 0.000 0.908 +kiernan o’shaughnessy prop 0.000 3.979 0.000 +jeff tremaine prop 23.938 22.919 1.644 +tremaine prop 6.432 3.412 0.000 +dwight d. eisenhower prop 1.121 0.000 0.000 +jeffrey tremaine prop 1.080 2.590 0.000 +brad tchernak prop 6.436 1.456 0.004 +tchernak prop 111.363 50.532 0.389 +lassa prop 0.692 5.256 0.812 +junin prop 0.000 0.000 0.000 +adcock prop 61.747 10.265 4.424 +reston adcock prop 6.986 1.386 0.000 +mr. adcock prop 0.000 0.000 0.000 +kevin greene prop 0.618 0.000 0.000 +tapped prop 0.535 0.000 0.000 +bloody prop 0.000 0.379 0.000 +dr. o’shea prop 0.000 0.000 0.000 +dr. tremaine prop 0.245 1.346 0.000 +grady hummacher — prop 0.000 0.424 0.000 +churner prop 0.000 0.000 0.000 +hope mkema prop 2.033 6.592 0.000 +anne barrington prop 0.000 0.000 0.000 +mortician prop 0.000 0.000 0.000 +kiernan stared prop 0.000 0.733 0.000 +die—“jeff prop 0.000 0.000 0.000 +wilson brede prop 0.448 0.000 0.000 +dick ’s prop 0.000 0.000 0.000 +” grady prop 0.000 0.000 0.000 +grady’d prop 0.558 0.000 0.772 +lesley prop 1.571 0.000 0.000 +footloose grady prop 0.000 0.000 0.000 +dr. o’shaughnessy prop 0.000 1.445 0.000 +sheriff fox prop 3.889 6.553 0.976 +vivien bradley tchernak prop 0.629 0.000 0.000 +cassie marengo prop 0.008 0.000 0.894 +luanne prop 0.671 0.000 0.000 +ginger staley prop 0.000 1.129 0.902 +louisa larson prop 1.167 15.708 1.364 +cecil mcguire prop 1.991 0.000 0.000 +mr. important prop 0.888 0.000 0.000 +adcock explorations prop 0.925 0.000 0.000 +mob prop 0.000 0.000 2.003 +dr. louisa larson prop 0.000 0.000 0.000 +stared prop 0.000 0.368 0.835 +deputy potter prop 0.000 0.048 0.973 +the o’shaughnessys prop 0.000 0.868 0.000 +takema prop 0.624 0.684 0.000 +gattozzi prop 8.324 0.179 0.000 +doctor larson prop 0.410 0.000 0.000 +lady napoleon prop 0.557 0.000 0.000 +proof—“grady prop 0.459 0.000 0.000 +doctor tremaine prop 0.478 0.000 0.000 +mrs. tremaine prop 2.291 1.096 0.000 +dickel prop 0.000 0.000 0.000 +the dickel prop 0.000 0.517 0.000 +artie mayeno prop 0.545 0.000 0.000 +mayeno prop 0.860 0.000 0.000 +schmooze prop 0.000 1.185 0.000 +bürgermeister prop 0.347 0.811 0.000 +luis vargas prop 0.241 0.000 0.000 +blockhead prop 0.794 0.559 0.000 +sarita prop 0.000 3.131 0.000 +nevada bell prop 1.584 0.000 0.000 +bakdat prop 0.152 0.355 0.918 +betaco prop 0.256 0.000 0.000 +simkin prop 8.643 0.000 0.000 +resty adcock prop 0.000 0.000 0.000 +resty prop 0.000 0.000 4.533 +persis mcevoy prop 0.705 0.000 0.000 +mrs. khrushchev prop 0.469 0.000 0.000 +harridan prop 0.000 0.000 0.000 +nihonco prop 2.444 0.741 0.000 +juan gomez prop 0.000 0.000 0.000 +carlos rios prop 0.000 0.000 0.000 +ross estes prop 0.000 0.000 0.000 +estes prop 2.554 0.291 0.000 +connie’d prop 0.000 0.288 0.418 +connie tremaine prop 0.000 2.807 0.000 +bradley tchernak prop 0.207 0.000 0.000 +mr. tchernak prop 0.000 0.000 0.000 +the panamanians prop 0.000 0.000 0.000 +mrs. tchernak prop 0.661 1.434 0.000 +gattozzi fever prop 0.000 0.481 0.000 +kiernan screeched prop 0.000 0.000 0.000 +“ adcock prop 0.000 0.000 0.000 +listen”—tchernak prop 0.527 0.000 0.238 +ms. o’shaughnessy prop 0.000 0.427 0.000 +o’keefe prop 0.000 1.462 0.000 +cioffi prop 0.270 0.000 0.000 +tchernak’ll prop 0.000 0.000 0.000 +eppers prop 0.755 2.053 0.000 +irene hernandez prop 0.000 2.650 0.000 +gattozzians prop 0.000 0.000 0.000 +’m kiernan o’shaughnessy prop 0.000 0.247 0.000 +larson ’s prop 0.000 0.000 0.000 +cyro prop 0.000 0.000 0.000 +purposely prop 0.000 0.283 0.000 +piñons prop 0.000 0.000 1.000 +sir horatio hornblower prop 0.059 0.906 0.000 +hawke prop 0.269 0.000 0.000 +lord st. vincent prop 2.004 0.000 0.000 +lydiard prop 0.510 0.000 0.000 +samuel hood prop 0.000 0.000 0.000 +chadwick prop 5.006 0.000 0.092 +lieutenant augustine chadwick prop 0.612 0.000 0.000 +pigott prop 0.000 0.000 0.000 +croats and hungarians prop 0.000 0.000 0.000 +william owen prop 0.387 0.000 0.000 +lord liverpool prop 1.000 0.000 0.000 +nathaniel sweet prop 2.930 0.000 0.000 +surroratio prop 0.846 0.000 0.000 +mr. carlow prop 0.000 0.000 0.000 +coeli prop 0.000 1.760 0.000 +lidyard prop 0.264 0.000 0.000 +‘ caen prop 0.287 0.000 0.000 +ceremonial prop 0.275 0.000 0.000 +mr. chadwick prop 0.000 0.000 0.000 +porta coeli prop 0.000 1.402 0.640 +mumble prop 0.395 0.000 0.000 +calverly prop 0.000 0.000 0.000 +honfleur prop 0.498 0.000 0.000 +celestine prop 0.720 0.017 0.005 +bonne celestine prop 0.987 0.000 0.000 +mr. gibbons prop 0.280 0.278 0.000 +freeman ’s prop 0.991 0.570 0.000 +baron momas prop 0.984 0.000 0.000 +momas frères prop 0.000 0.000 0.000 +momas prop 1.189 0.000 0.000 +baron momas ’ prop 0.000 0.000 0.000 +hercule lebrun prop 0.330 0.000 0.000 +adresse prop 0.868 0.000 0.000 +young hornblower prop 0.382 0.000 0.000 +the sutherland prop 1.104 0.064 0.000 +marie de graçay prop 1.735 1.391 0.000 +captain howard prop 0.972 0.000 0.000 +horatio the first prop 0.242 0.000 0.000 +mr. crawley prop 1.261 0.000 0.000 +crawley prop 1.995 0.000 5.353 +le baron momas prop 0.000 0.000 0.000 +— hau prop 0.606 0.000 0.000 +hau prop 10.938 0.000 0.000 +monsieur — hornblower prop 0.000 0.000 0.000 +colonel dobbs prop 0.592 0.000 0.000 +despatch prop 0.212 0.000 0.000 +general quiot prop 0.764 0.000 0.000 +quiot prop 7.032 0.000 0.000 +bolbec prop 0.449 0.000 0.000 +monk lewis prop 0.000 1.000 0.000 +mr. livingstone prop 0.026 0.000 1.388 +mr. 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others in the world prop 0.289 0.000 0.000 +mrs. knapp prop 2.367 69.389 0.799 +bockstein prop 0.000 0.000 0.545 +eppner prop 5.207 0.000 2.016 +the garrulous dicky prop 0.000 0.000 0.000 +darby meeker prop 4.219 0.000 2.847 +mr. meeker prop 1.117 0.002 0.000 +dudley,--giles dudley prop 0.319 0.000 0.000 +mrs. borton prop 0.312 0.000 0.000 +tom terrill prop 7.098 0.000 0.000 +dicky nahl prop 4.760 0.000 0.000 +nahl prop 0.753 0.000 0.000 +slippery dicky prop 0.230 0.000 0.000 +terrill prop 8.972 0.000 0.000 +sabe prop 0.707 0.000 0.803 +horace h. plymire prop 0.000 0.000 0.000 +misder eppner prop 0.817 0.000 0.000 +tim terrill prop 0.329 0.000 0.000 +hildebrandt prop 0.000 0.000 0.000 +wallbridge prop 10.913 0.000 0.000 +mrs. doddridge knapp prop 0.000 1.186 0.000 +miss knapp prop 0.000 2.402 0.968 +mr. inman prop 0.017 0.840 0.000 +mrs. bowser prop 0.000 13.216 2.865 +terrill gang prop 0.000 0.000 0.000 +mr. doddridge knapp prop 0.374 0.000 0.000 +muther borton prop 0.000 0.000 0.000 +policeman corson prop 0.000 0.743 0.000 +barkhouse prop 2.278 0.000 0.986 +rix prop 0.200 0.000 0.000 +honest injun prop 0.000 0.000 0.000 +dear aunt julia prop 0.000 0.454 0.000 +cousin julia prop 0.214 0.262 0.000 +rosenheim prop 0.001 0.000 1.233 +bashford prop 0.131 0.000 0.826 +the doddridge knapp prop 0.000 0.863 0.000 +mr. corson prop 0.000 0.591 0.000 +dear luella prop 0.000 0.000 0.000 +lattimer prop 54.305 1.025 8.773 +gradgrind prop 0.700 0.000 0.000 +making prop 0.000 0.000 0.000 +progress prop 0.000 0.000 0.000 +l----- prop 0.000 0.538 0.000 +lockhart prop 13.199 0.000 12.742 +wainright prop 0.000 0.000 0.000 +trailed prop 0.419 0.000 0.000 +livermore prop 0.476 0.000 0.487 +dotty ferguson prop 0.618 0.000 0.000 +dick thatcher prop 0.000 0.000 0.000 +mr. thatcher prop 2.276 0.000 0.000 +me,--broderick prop 0.000 0.380 0.000 +george decker prop 0.000 0.000 0.000 +chollar prop 0.000 0.000 0.000 +wall - bridge prop 0.000 0.000 0.000 +j. d. storey prop 0.283 0.000 0.000 +storey prop 2.713 0.000 0.000 +mr. storey prop 1.275 0.000 0.000 +dodson prop 3.117 0.000 0.000 +miss luella prop 0.000 0.000 0.000 +black dick prop 3.054 0.000 0.739 +shaughnessy prop 0.732 0.000 0.957 +conn. prop 0.476 0.000 0.000 +mr. nahl prop 0.482 0.000 0.000 +mr. terrill prop 0.000 0.000 0.000 +elijah lane prop 0.000 0.447 0.000 +mr. lane prop 10.862 1.944 0.000 +8blnf10.zip prop 0.000 0.000 0.000 +8blnf11.txt prop 0.000 0.000 0.000 +bao - bao prop 13.172 0.000 0.039 +the kwongs prop 0.000 1.330 0.404 +doug cheu prop 0.000 0.289 0.000 +phil brandt prop 0.000 0.289 0.000 +grand auntie du prop 0.002 3.096 0.000 +medi - cal prop 0.000 0.000 0.000 +grand auntie prop 1.149 8.313 0.003 +du ’s prop 0.000 0.000 0.000 +ha - bu prop 0.000 4.027 0.000 +al fook prop 0.644 0.000 0.000 +sam fook prop 0.000 0.444 0.000 +mr. hong prop 0.556 0.000 0.000 +pearl louie brandt prop 0.000 0.310 0.000 +ying - gai prop 0.000 1.042 0.000 +mimi wong prop 0.000 0.808 0.000 +pearl ’s prop 0.627 0.000 0.000 +loy fong prop 0.295 0.000 0.000 +uncle loy prop 0.376 0.310 0.000 +edna fong prop 0.000 3.430 0.051 +ding ho prop 0.000 0.000 0.000 +the lazy susan prop 0.000 0.288 0.000 +auntie du prop 0.000 28.029 4.731 +god!—grand prop 0.000 0.633 0.000 +bootie the prop 0.000 0.477 0.000 +ami- prop 0.000 0.000 0.000 +amitaba prop 0.000 0.000 1.316 +ai - ya prop 0.000 4.313 0.000 +tofu prop 0.000 0.340 0.000 +syau ning prop 0.000 0.386 0.000 +kwan yin prop 0.506 0.000 0.000 +zhang prop 13.176 3.699 0.000 +guo prop 0.816 0.459 0.000 +lady li prop 0.672 0.000 1.180 +kitchen god prop 0.036 1.053 0.000 +jimmy louie prop 13.571 0.000 1.594 +wen prop 2.468 0.000 0.000 +weili prop 0.000 0.000 0.000 +weiwei prop 0.000 2.145 0.000 +winnie louie prop 0.000 0.623 0.000 +gladys wong prop 0.000 0.000 0.215 +“ mavis chew prop 0.000 0.000 0.444 +“ george po prop 0.000 0.000 0.444 +“ murray yang prop 0.000 0.000 0.444 +ding - ngin prop 0.318 0.000 0.000 +yangsele prop 0.000 0.000 0.000 +dr. lin prop 0.541 0.000 0.000 +lin ’s prop 0.000 0.000 0.000 +kun prop 0.882 0.000 0.000 +long distance prop 0.000 0.451 0.000 +betty wan prop 0.000 0.973 0.000 +beautiful betty prop 1.869 0.507 0.000 +wen fu prop 138.168 3.529 0.001 +rd prop 0.579 0.613 0.000 +james y. louie prop 1.000 0.000 0.000 +nai - nai prop 0.000 1.683 0.000 +chenghuang miao prop 0.000 0.420 0.000 +tsungming prop 0.052 0.418 0.000 +gung - gung prop 3.066 0.022 0.000 +old aunt prop 0.000 3.502 0.000 +weiwei - ah prop 0.000 0.000 0.000 +the manchus prop 0.000 0.000 0.000 +jiang sao - yen prop 2.088 0.000 0.140 +jiang prop 4.344 0.000 0.000 +n’t ha - bu prop 0.000 0.969 0.000 +ai!—she prop 0.000 0.838 0.000 +san ma prop 0.062 7.180 0.500 +sz ma prop 0.000 0.284 2.099 +wu ma prop 0.679 0.006 3.944 +’s fortune prop 0.000 0.000 0.000 +huazheng prop 0.000 0.677 0.000 +huasheng prop 0.000 0.202 0.000 +little gong prop 0.000 0.000 2.971 +little gao prop 0.000 0.000 4.077 +lao gu prop 0.000 0.000 0.000 +old east prop 1.000 0.000 0.000 +sister momo prop 0.000 4.666 0.000 +little yu prop 0.000 5.622 0.000 +” “ prop 0.000 0.838 0.000 +wonton prop 0.000 0.000 0.000 +peanut ’s prop 0.000 0.452 0.000 +gao prop 0.000 0.000 0.447 +mrs. wen prop 0.000 0.000 0.000 +dowry counting prop 0.000 0.531 0.000 +old shoe stink prop 0.000 0.343 0.000 +auntie miao prop 0.000 2.490 0.353 +lin family prop 0.000 0.000 0.000 +the lin family prop 0.000 0.000 0.000 +miao - miao prop 0.281 0.738 0.000 +the wens prop 0.000 0.000 1.394 +jiang weili prop 0.916 0.043 0.463 +wen family prop 0.014 0.339 0.000 +fu prop 5.114 0.000 0.378 +turtle uncle prop 3.709 0.000 0.000 +yau prop 6.104 2.439 0.806 +hangchow prop 0.025 1.935 0.000 +claire chennault prop 0.973 0.000 0.000 +shan nao prop 0.817 0.000 0.000 +“ chennault prop 0.000 0.000 0.000 +old noisy lightning prop 0.000 0.000 0.318 +wen chen prop 1.546 0.000 0.000 +hulan prop 0.000 148.027 0.005 +long jiaguo prop 0.000 0.296 0.000 +loyang prop 0.000 0.683 0.000 +daomei prop 0.000 0.373 0.000 +loyang luck prop 0.000 0.000 0.000 +jiaguo prop 28.649 0.966 4.828 +chennault prop 0.325 0.000 0.000 +five cracks prop 0.000 0.262 0.000 +suanle!”—forget prop 0.000 0.000 0.497 +lijun prop 0.000 0.325 1.015 +meili prop 0.036 1.395 0.073 +yangchow prop 0.000 0.373 0.000 +du fu prop 0.000 0.000 0.000 +tai - tai prop 1.144 0.000 0.000 +taonan money prop 0.000 0.000 0.000 +wan betty prop 0.000 7.706 0.000 +breath prop 0.000 0.446 0.000 +old mr. ma prop 3.109 0.000 0.000 +hu - lan prop 0.000 0.743 0.000 +lady white ghost prop 0.000 0.958 0.164 +bad eye prop 0.000 0.000 0.000 +liu prop 6.757 0.000 0.000 +ayo prop 0.000 1.182 0.000 +mochou prop 1.262 0.001 0.091 +yiku prop 0.000 14.784 0.000 +mrs. chiang kai - shek prop 0.000 0.000 0.000 +danru prop 23.878 0.001 4.241 +du ching prop 0.000 0.453 0.000 +butterfly hu prop 0.000 0.735 0.000 +songbird lien prop 0.000 0.735 0.000 +han chinese prop 0.000 0.000 0.412 +me!—big prop 0.303 0.000 0.000 +american dance prop 0.000 0.000 0.000 +flying tigers prop 0.000 0.000 0.000 +hu prop 0.000 1.839 0.000 +ju - dassa prop 0.506 0.000 0.000 +little miss prop 0.000 0.000 0.437 +aiyi prop 0.000 0.000 0.000 +wen tai - tai prop 0.000 2.722 0.796 +bao - prop 0.000 0.556 0.000 +miao tai - tai prop 0.000 0.653 0.000 +new aunt prop 0.000 0.432 0.000 +little gong ’s prop 0.000 0.723 0.000 +jiang huazheng prop 0.558 0.000 0.000 +mrs. li prop 0.000 0.388 0.000 +mrs. liang prop 1.097 0.000 0.000 +this mrs. liang prop 0.728 0.000 0.000 +little danru prop 1.232 0.000 0.000 +tang jie prop 0.000 0.572 0.000 +soochow prop 1.216 0.158 0.000 +little yu ’s mother prop 0.000 0.662 0.000 +peddy prop 0.000 1.691 0.000 +lau tai po prop 0.000 0.000 0.000 +mrs. james louie prop 0.000 0.000 0.000 +lee wing chin prop 0.000 0.000 0.000 +mary imagawa prop 0.000 0.000 0.000 +raisa hamsson prop 0.000 0.000 0.000 +johnnie ow prop 0.000 0.000 0.000 +maxima aspira prop 0.000 0.000 0.000 +mary moy prop 0.429 0.000 0.000 +favor prop 0.000 0.240 0.000 +kuang an prop 5.012 0.002 0.000 +henry kwong prop 0.525 0.000 0.000 +jiang weili winnie louie prop 0.000 0.000 0.000 +james louie prop 0.000 0.000 0.000 +mrs. wen fu prop 0.000 0.000 0.000 +auntie du ’s prop 0.000 0.000 0.000 +mimi wong kwong prop 0.000 0.672 0.000 +mr. thomas c. y. wong prop 0.388 0.000 0.000 +sorrowfree prop 0.000 0.813 0.000 +mrs. hong prop 0.000 3.521 0.000 +wen ch’ang prop 0.000 0.000 0.000 +mrs. kitchen god prop 0.000 0.835 0.000 +lady sorrowfree prop 0.000 0.000 0.000 +nameless prop 5.956 0.000 0.000 +tru prop 7.443 0.000 0.000 +mowrr prop 0.405 0.000 0.000 +lance garrison prop 6.467 0.000 0.000 +outside harry prop 0.000 0.000 0.000 +infiniti prop 0.000 0.000 0.000 +bmw prop 0.000 0.000 0.000 +truman smith prop 6.156 0.000 0.000 +anne temple prop 0.000 0.453 0.000 +red lindeman prop 2.596 0.000 0.000 +lindeman prop 48.103 0.000 0.000 +paul lindeman prop 5.842 0.000 0.113 +fred benton prop 0.606 0.000 0.364 +ace ventura prop 0.000 0.000 1.307 +prairie chickens prop 0.000 0.026 1.506 +lance wayne garrison prop 0.589 0.000 0.000 +johnny bates prop 2.248 0.000 0.000 +colonel mustard prop 0.710 0.000 0.000 +cathy macklin prop 0.000 0.385 0.000 +the great gatsby prop 0.323 0.000 0.000 +clyde callahan prop 0.000 0.000 0.000 +rev. clyde prop 0.000 0.000 0.496 +ralph evans prop 10.744 0.000 0.000 +old larry prop 1.762 0.850 0.000 +mr. randy weaver prop 0.000 0.000 0.000 +mr. david koresh prop 0.000 0.000 0.000 +mr. koresh prop 0.313 0.000 0.000 +wadle prop 0.000 0.000 0.000 +lance ’s prop 0.342 0.000 0.000 +linda toole prop 0.000 1.021 0.000 +bud ’s surplus prop 0.406 0.000 0.000 +gar thornton prop 2.211 0.000 0.000 +bert ware prop 0.000 0.000 1.769 +macartney rose prop 0.000 0.000 0.000 +martin york prop 4.282 0.000 0.041 +klwg prop 0.000 0.000 0.000 +verbally prop 0.402 0.000 0.303 +the greers prop 0.000 0.000 1.801 +billy younger prop 2.211 0.000 0.000 +sheriff roy peavy prop 0.087 0.000 0.929 +dr. harvey prop 2.408 0.000 0.000 +sheriff peavy prop 2.480 0.042 0.258 +ward peavy prop 0.000 0.000 0.000 +deputy denbow prop 2.310 0.000 0.587 +mr. lindeman prop 0.257 0.000 0.000 +denbow prop 14.183 0.000 0.699 +younger prop 1.099 0.000 0.645 +doctor harvey prop 0.000 0.000 0.000 +doc harvey prop 0.276 0.000 0.000 +rush limbaugh prop 0.406 0.000 0.000 +tom landry prop 0.678 0.000 0.000 +heighdy prop 0.000 0.000 0.791 +miz lindeman prop 0.789 0.000 0.000 +mrs. lindeman prop 0.000 0.000 0.000 +“ lindeman prop 0.814 0.000 0.000 +peavy ’s prop 0.469 0.000 0.000 +tony lopez prop 1.188 0.000 0.000 +fella gar drives prop 0.330 0.000 0.000 +emmitt smith prop 0.168 0.000 0.000 +emmitt prop 59.026 0.902 0.000 +nolan ryan prop 0.000 0.000 0.000 +guns’ll prop 0.000 0.000 0.000 +peavy’ll prop 0.371 0.000 0.000 +tweety bird prop 0.000 0.000 0.000 +roy nobles prop 0.376 0.000 0.000 +steve stilwell prop 0.000 0.000 0.000 +sam elliott prop 0.000 0.000 0.808 +lloyd abbott prop 2.648 0.000 0.000 +longhorn prop 0.000 0.000 0.000 +leslie nielsen prop 0.000 0.000 0.000 +n’t peavy prop 0.246 0.000 0.000 +methodist mary prop 0.000 0.489 0.000 +d’oro prop 0.000 0.537 0.000 +dr nan weaver prop 0.003 1.280 0.000 +robert wendel prop 0.328 0.692 0.000 +officer wendel prop 0.000 0.354 0.000 +sister marguerita mary prop 0.000 0.807 0.000 +sherry party prop 0.500 0.000 0.000 +old angus murchie prop 0.500 0.000 0.000 +matt weitz prop 1.502 0.000 0.000 +marjorie adams prop 0.000 36.015 1.027 +professor weaver prop 0.000 3.269 0.798 +angus murchie prop 5.077 15.191 1.090 +ms adams prop 0.000 0.000 0.000 +irish murdoch ” prop 0.000 0.000 0.000 +e m forster prop 0.000 0.913 0.000 +dr charles woodward prop 0.150 0.763 0.000 +‘ frosty the snowman prop 0.000 0.500 0.000 +jim weaver prop 0.000 0.000 0.000 +hayward prop 0.000 3.906 3.860 +cellucci prop 0.000 0.000 0.920 +poor shirley prop 0.000 0.528 0.000 +mrs ramsay prop 0.000 0.377 0.000 +lawrence welks prop 0.000 0.000 0.000 +el bingo prop 0.000 0.000 0.000 +annamarie prop 0.000 0.000 0.000 +valiantly prop 0.000 0.746 0.000 +joe growskys prop 0.000 0.823 0.000 +nan weaver prop 0.000 4.615 0.599 +charles woodward prop 0.000 0.870 0.586 +professor eastman prop 0.506 1.480 0.000 +d h lawrence prop 0.000 1.176 0.000 +the dour honour klein prop 0.000 0.000 0.000 +professor murchie prop 1.194 2.202 0.152 +agnes smedley prop 0.000 0.889 0.000 +n’t shirley prop 0.000 0.539 0.000 +mrs wilson prop 0.000 0.000 1.469 +elaine mendosa prop 0.000 0.462 0.000 +larry connors prop 0.824 0.103 0.000 +lisa honey prop 0.000 0.441 0.000 +francie ’s prop 0.000 0.642 0.000 +dr bonelli prop 0.000 0.000 0.000 +little nan weaver prop 0.000 0.315 0.000 +mrs murchie prop 0.000 0.000 0.000 +bright , determined lisa prop 0.000 0.355 0.000 +the weavers prop 0.000 0.000 0.000 +- year - old nan prop 0.000 0.331 0.000 +young nan prop 0.000 0.281 0.000 +grizzly prop 0.826 0.907 0.000 +mary anne prop 0.000 3.164 0.004 +kcbs prop 0.000 0.000 0.000 +ms marjorie adams prop 0.000 0.000 0.000 +saint - saëns prop 0.000 0.713 0.000 +officer rodriguez prop 0.000 0.000 0.770 +doctor bonelli prop 0.000 0.000 0.000 +john hopkins prop 0.000 0.000 0.000 +professor nelson prop 0.735 0.453 0.000 +hammerly prop 0.503 0.807 2.831 +methor prop 0.000 0.000 0.000 +mrs growsky prop 0.000 0.095 0.930 +mr and mrs growsky prop 0.000 1.013 0.000 +joe growsky prop 0.000 0.000 0.710 +juliet amaro prop 0.000 0.000 0.000 +gladys crosby prop 0.000 0.000 0.704 +elizabeth barrett prop 0.000 0.000 0.000 +miss lisa prop 0.000 0.407 0.000 +jose feliciano prop 0.000 0.000 0.000 +sister maria goretti prop 0.000 0.876 0.000 +the genteel marjorie adams prop 0.000 0.355 0.000 +hara - kiri prop 0.006 1.267 0.000 +kalúa prop 0.000 0.000 0.476 +comas prop 0.000 0.000 0.476 +vanessa bell prop 0.000 0.000 0.000 +sexual harassment prop 0.000 0.000 0.000 +campaign reaches prop 0.000 0.000 0.000 +david hockney prop 0.000 0.714 0.000 +knut prop 0.848 0.192 0.957 +sister anna peter prop 0.000 0.263 0.465 +gorgeous knut prop 1.524 0.000 0.000 +knut the handsome prop 0.000 0.000 0.940 +jessica mitford prop 0.000 0.000 0.000 +laura murchie prop 0.291 1.476 0.127 +peggy lee prop 0.000 0.520 0.000 +dr weaver prop 0.000 0.881 0.000 +clarence johnson prop 1.493 0.000 0.000 +didion prop 0.000 1.123 0.000 +lawrence craigmont prop 0.010 2.029 0.000 +craigmont prop 0.397 0.141 0.000 +judy milligan prop 0.000 1.779 0.000 +wendy yoshimura prop 0.000 0.000 0.000 +chicanas prop 0.000 0.854 0.000 +bonelli prop 1.693 0.000 0.000 +aunt betty prop 4.225 2.551 2.363 +grandma weaver prop 0.000 0.000 0.000 +professor augustine prop 0.000 0.000 0.905 +harold gordon prop 1.071 0.000 0.000 +sergeant fernandez prop 0.000 0.371 0.000 +john locke prop 0.000 0.528 0.000 +judge harold gordon prop 0.331 0.000 0.000 +judge gordon prop 1.129 0.009 0.000 +mrs angus murchie prop 0.000 0.354 0.000 +beth beale prop 0.843 1.091 0.000 +officer ross prop 1.536 0.000 0.000 +the wheeler hall witch prop 0.000 0.000 0.374 +shirley growsky prop 0.000 0.000 0.000 +ms weaver prop 0.000 0.645 0.627 +confesses murder prop 0.000 0.000 0.000 +alma pedersen prop 0.000 0.760 0.000 +pedersen prop 3.329 0.000 0.000 +word?—marjorie prop 0.000 0.521 0.000 +felony prop 0.000 0.788 0.000 +rose adams prop 0.950 3.778 0.000 +mrs adams prop 0.000 2.587 0.000 +harold adams prop 0.794 0.000 0.000 +shirley — prop 0.000 1.005 0.000 +gail storm prop 0.000 0.000 0.000 +sister nan prop 0.000 0.463 0.000 +mmmmarjorie adams prop 0.000 0.270 0.000 +amy ’s prop 0.000 1.191 0.000 +yvonne wanrow prop 0.000 0.000 0.000 +lisa growsky prop 0.000 0.450 0.000 +mario savio prop 0.000 0.000 0.000 +a lisa growsky prop 0.000 0.735 0.000 +dianne feinstein prop 0.026 0.523 0.000 +katherine growsky prop 0.000 0.184 0.000 +mr adams prop 0.000 0.000 0.000 +marie wong prop 0.000 0.000 0.000 +sylvia fricker prop 0.000 0.000 0.000 +senator north prop 47.586 35.483 2.188 +cedric vonck prop 0.000 0.000 0.000 +by gertrude atherton prop 0.359 0.000 0.000 +_ --william prop 0.000 0.000 0.000 +pitt fessenden prop 0.000 0.500 0.000 +miss betty madison prop 0.000 0.500 0.000 +this lady mary montgomery prop 0.000 0.442 0.000 +lady barnstaple prop 0.000 0.429 0.000 +mrs. madison prop 0.013 42.147 0.000 +sally carter prop 0.000 13.914 1.011 +harold madison prop 1.734 0.000 0.000 +congress?--but women prop 0.000 0.000 0.844 +lord barnstaple prop 0.009 0.000 0.369 +plebeianism;--well prop 0.000 0.000 0.000 +chamberlin prop 0.608 0.000 0.000 +molly dear prop 0.000 0.000 0.000 +lady mary montgomery prop 0.000 2.711 0.000 +leontine prop 0.007 11.506 0.338 +count de bellairs prop 0.624 0.000 0.000 +beau brummels prop 0.000 0.000 0.000 +jack emory prop 3.307 7.154 0.923 +betty madison prop 0.000 6.745 0.000 +the montgomerys prop 0.000 1.419 0.000 +the madisons prop 0.000 0.541 0.000 +randolph montgomery prop 0.529 0.000 0.000 +lady maundrell prop 0.388 0.000 0.000 +cecil maundrell prop 0.524 0.000 0.000 +barnstaple prop 0.000 0.000 0.000 +mrs. montgomery prop 3.430 4.505 0.000 +mary gifford prop 0.000 1.161 0.000 +mis ' senator maxwell prop 0.000 0.858 0.000 +senator maxwell prop 2.056 0.000 1.471 +mis ' senator shattuc prop 0.000 0.317 0.000 +yurrup prop 0.000 0.413 0.044 +lady montgomery prop 0.000 0.011 0.428 +senator freeman prop 0.000 0.011 0.428 +amurricans prop 0.000 0.346 0.050 +senator ward prop 5.048 1.511 0.000 +theodosia burr prop 0.000 0.000 0.000 +nelly custis prop 0.277 1.598 0.000 +betty dear prop 0.000 0.000 0.000 +burleigh prop 42.513 4.508 0.000 +senator burleigh prop 17.616 2.633 0.000 +elizabeth madison prop 0.333 0.000 0.000 +the famous miss betty madison prop 0.349 0.000 0.000 +senator shattuc prop 8.593 0.410 0.000 +mr. montgomery -- prop 0.000 0.000 0.000 +sir galahads prop 0.569 0.000 0.000 +madame rolands prop 0.800 0.000 0.000 +idealize prop 0.008 0.000 0.539 +the montgomery prop 0.000 0.000 0.000 +mary montgomery prop 0.000 2.537 0.000 +miss elizabeth madison prop 0.000 0.000 0.000 +the late harold carter madison prop 0.350 0.000 0.000 +cassandra lee prop 0.774 0.077 0.000 +poor cassie prop 0.000 1.342 0.000 +abraham walker prop 0.000 0.767 0.000 +p. s. harriet prop 0.000 0.767 0.000 +aunt mary eager prop 0.000 0.713 0.000 +harriet walker prop 0.754 2.775 0.000 +the countess hahn - hahn prop 0.405 0.000 0.000 +general lathom prop 0.635 0.000 0.000 +mr. burleigh prop 1.926 0.000 0.002 +shattuc prop 3.151 0.000 0.000 +aunty dinah prop 0.000 0.354 0.000 +commonplace prop 0.000 0.000 0.000 +cousin amelia-- prop 0.000 0.000 0.000 +a mrs. fonda prop 0.000 0.000 0.000 +mrs. fonda prop 0.000 5.377 1.038 +mr. cleveland prop 1.978 0.000 0.000 +mollyanthus prop 0.000 0.000 0.000 +professor morrow prop 0.317 0.000 0.000 +miss walker prop 0.000 0.888 1.305 +circumstance prop 0.861 0.000 0.000 +mrs. sawyer prop 0.000 1.217 0.000 +mrs. emory prop 0.000 1.729 0.000 +betty,--marse prop 0.339 0.000 0.000 +senator french prop 0.000 0.528 0.000 +senator eustis prop 0.326 0.000 0.000 +mr. armstrong prop 0.750 0.000 0.000 +mr. march prop 0.644 0.000 0.000 +populists prop 0.000 0.000 0.000 +senator march prop 0.000 0.000 0.000 +miss alice maxwell prop 0.397 0.000 0.000 +robert burleigh prop 0.000 1.069 0.000 +consul - general lee prop 0.000 0.000 0.000 +another betty madison prop 0.618 0.000 0.000 +mr. george washington mudd prop 0.306 0.000 0.000 +mudd prop 3.165 0.000 0.000 +george washington mudd prop 0.000 0.871 0.000 +laws prop 0.000 0.000 0.000 +a tall stout man in a loose black overcoat , a black slouch hat , and a big cotton umbrella prop 0.500 0.000 0.000 +sagasta prop 0.000 0.000 0.000 +mrs. shattuc prop 0.000 0.000 1.181 +mr. burleigh,--i prop 0.000 0.302 0.000 +b. m. burleigh prop 0.000 1.074 0.000 +sntrn10.zip prop 0.000 0.000 0.000 +sntrn11.txt prop 0.000 0.000 0.000 +sntrn10a.txt prop 0.000 0.000 0.000 +his money prop 0.000 0.000 0.000 +matrimony prop 0.000 0.000 0.000 +visitors prop 0.000 0.000 0.000 +diplomacy prop 0.000 0.000 0.000 +lend money prop 0.000 0.000 0.000 +am visited prop 0.000 0.000 0.000 +plain language prop 0.000 0.000 0.000 +she proposes prop 0.000 1.180 0.000 +defend myself prop 0.167 0.000 0.000 +rilas prop 1.630 0.000 0.000 +uncle rilas prop 3.557 0.000 0.111 +elsie hazzard prop 0.000 0.558 2.949 +the rothhoefens prop 1.807 0.000 0.000 +the hazzards prop 0.000 0.000 1.823 +john bellamy smart prop 1.386 0.000 0.000 +herr schmick prop 1.917 0.000 0.000 +poopendyke prop 20.895 0.022 0.000 +frau schmick prop 0.000 0.000 0.000 +schmick prop 0.711 0.000 2.386 +mrs. schmick prop 0.000 0.000 1.236 +property prop 0.000 0.142 0.489 +mr. schmick prop 0.000 0.407 0.000 +old schmick prop 1.058 0.000 0.000 +old conrad schmick prop 0.000 0.000 0.000 +old conrad prop 2.517 0.000 0.105 +dame schmick prop 0.000 1.059 0.506 +mr. poopendyke prop 15.848 0.002 0.000 +the schmicks prop 0.000 2.900 4.640 +remainder prop 0.000 0.000 0.000 +herr poopendyke prop 0.000 0.000 0.840 +old gretel prop 0.417 0.000 0.000 +mrs. riley - werkheimer prop 1.884 0.005 0.000 +mr. riley - werkheimer prop 2.691 0.000 0.000 +mr. rocksworth prop 3.402 0.000 0.000 +the teutons prop 0.000 0.000 0.000 +rocksworth prop 0.001 0.000 0.861 +miss riley - werkheimer prop 0.000 0.000 0.000 +the aristocratic mrs. riley - werkheimer prop 0.000 1.000 0.000 +riley - werkheimer prop 0.000 0.000 0.000 +mr.-- mr.-- prop 0.371 0.000 0.000 +schmicks prop 0.393 0.000 0.000 +herr britton prop 0.746 0.000 0.017 +the lord harry prop 2.001 0.614 0.000 +count hohendahl prop 1.669 0.000 0.025 +the glorious rothhoefens prop 0.000 0.000 0.000 +baron schmarts prop 0.000 0.000 0.000 +rothhoefens prop 0.000 0.000 0.000 +hohendahls prop 0.000 0.000 0.000 +the schmarts prop 0.000 0.000 0.000 +the sleepy gretel prop 0.000 0.000 0.000 +hazzards prop 0.000 0.000 1.532 +conrad schmick prop 1.268 0.000 0.000 +james hohendahl prop 0.000 1.330 0.000 +count james prop 0.443 0.000 0.000 +a rothhoefen prop 0.000 0.372 0.000 +common sense prop 0.000 0.928 0.000 +jinko prop 0.474 0.041 1.141 +poor little rosemary prop 0.000 0.000 0.000 +umovitch prop 0.000 0.000 0.000 +pless prop 3.368 0.000 0.000 +george hazzard prop 1.325 0.000 0.000 +billy smiths prop 0.524 0.000 0.973 +mrs. betty billy smith prop 0.000 1.770 0.817 +betty billy prop 1.412 1.706 0.000 +mr. pless prop 21.914 0.042 0.005 +n't pless prop 0.001 0.000 1.333 +mrs. hazzard prop 0.000 0.000 0.000 +mrs. billy prop 0.308 0.000 0.000 +betty billy smith prop 0.477 1.015 0.000 +mrs. pless prop 0.931 0.000 0.000 +mrs. billy smith prop 0.000 0.000 0.000 +hohendahl prop 1.883 0.000 0.094 +helene marie louise antoinette prop 0.323 0.000 0.000 +the baron umovitch prop 0.000 0.000 0.000 +pinko prop 0.309 0.000 0.000 +the sneering hungarian prop 0.364 0.000 0.000 +the sixth baron rothhoefen prop 0.000 0.000 0.000 +old ludwig the red prop 0.359 0.000 0.000 +ru-- prop 0.000 0.000 0.000 +john bellamy prop 0.970 0.000 0.000 +baron umovitch prop 0.098 0.000 0.970 +lathers prop 0.000 0.000 0.000 +the wily mr. pless prop 1.354 0.000 0.000 +mrs. o'burnett prop 0.000 0.000 0.000 +marechal niel prop 0.000 0.000 0.000 +ludwig the red prop 0.000 0.761 0.000 +ludwig the red,--for prop 1.583 0.000 0.000 +rempf prop 0.000 0.000 1.000 +mr. schymansky prop 2.477 0.012 0.000 +schymansky prop 1.613 0.000 0.000 +the count maris tarnowsy prop 0.000 0.000 0.000 +jasper titus prop 2.529 0.000 0.000 +aline titus prop 0.000 0.000 0.000 +count tarnowsy prop 3.373 0.000 0.484 +franko prop 0.335 0.000 0.000 +tarnowsy prop 9.330 3.064 0.761 +the old rothhoefens prop 0.000 0.000 0.000 +mr. poopendyke,--are prop 0.378 0.000 0.000 +the countess tarnowsy and-- prop 0.000 0.000 0.000 +the countess tarnowsy prop 0.000 3.197 0.000 +mr. john bellamy smart prop 0.000 0.492 0.000 +fred poopendyke prop 0.000 0.000 0.000 +helen marie louise antoinette prop 0.000 0.237 0.387 +mr. ' awkes prop 0.914 0.000 0.827 +helen marie louise prop 0.000 0.572 0.000 +that idiotic poopendyke prop 0.000 0.000 0.000 +count tarnowsys prop 0.000 0.000 0.273 +the colingrafts prop 0.000 0.677 0.000 +schwartzmuller prop 0.947 0.000 0.906 +mr. schwartzmuller prop 0.654 0.000 0.000 +herr schwartzmuller prop 1.168 0.000 0.000 +august schwartzmuller prop 0.000 0.000 0.000 +zumpe prop 0.000 0.000 0.000 +the efficient blatchford prop 0.000 0.000 0.000 +the incomparable britton prop 0.000 0.000 0.930 +mr. bangs prop 3.818 4.393 1.000 +the beautiful countess tarnowsy prop 0.000 0.743 0.000 +blake,--and prop 0.000 0.458 0.000 +mrs. titus prop 0.000 21.663 0.001 +red ludwig prop 0.000 0.000 0.000 +countess tarnowsy prop 0.000 0.665 0.000 +smart , prop 0.000 0.000 0.000 +moth-- prop 0.000 0.000 0.000 +mayor berg prop 1.157 0.000 0.000 +the fastidious mrs. titus prop 0.000 0.000 0.000 +mr. schmarck prop 0.865 0.000 0.000 +mr. schmarck-- prop 0.976 0.000 0.000 +mr. smart,--and prop 0.000 0.000 0.000 +colingraft titus prop 0.518 0.610 0.000 +interview,--but prop 0.326 0.000 0.000 +jappie prop 0.500 0.000 0.000 +hebraic prop 0.000 0.000 0.774 +colingraft prop 11.055 0.000 0.000 +riley - werkheimers prop 0.130 0.079 0.000 +rocks prop 0.000 0.210 0.000 +rocksworths prop 0.209 0.000 0.000 +unko prop 0.000 0.659 0.000 +mrs. titus-- prop 0.000 0.421 0.000 +mr. titus prop 5.466 0.000 0.000 +jasper jr. prop 2.057 0.000 0.000 +colly prop 1.689 0.000 0.000 +lord amberdale prop 2.158 2.772 0.000 +amberdale prop 0.738 1.303 0.000 +young mr. titus prop 0.303 0.000 0.000 +britten prop 0.331 0.000 0.000 +maris tarnowsy prop 1.141 0.000 0.000 +little rosemary prop 0.000 0.000 0.000 +little rosebud prop 0.252 0.137 0.000 +old jasper titus prop 0.569 0.000 0.000 +the fair aline prop 0.000 0.000 0.000 +captain pardee prop 0.000 0.000 0.000 +aline tarnowsy prop 0.446 0.574 0.000 +dr. hazzard prop 0.927 0.051 0.000 +alrose prop 0.000 0.000 0.000 +the fawning schymansky prop 0.507 0.000 0.000 +mr. saks prop 0.305 0.000 0.000 +mr. pooly,--the prop 0.000 0.000 0.000 +vanity prop 2.089 0.000 0.000 +the countess aline prop 0.000 0.983 0.000 +poor poopendyke prop 0.644 0.000 0.000 +change garden spots prop 0.000 0.000 0.000 +james byron smart prop 0.458 0.000 0.000 +skelly prop 0.000 0.000 1.874 +covington prop 14.682 0.000 1.119 +miss parsons prop 0.000 1.333 0.000 +skerry prop 0.000 0.747 0.000 +miss tarsney prop 0.000 0.000 0.000 +old bob thackery prop 0.314 0.000 0.000 +flmny10.zip prop 0.000 0.000 0.000 +flmny11.txt prop 0.000 0.000 0.000 +flmny10a.txt prop 0.000 0.000 0.000 +johnny baker prop 9.238 0.954 0.000 +william f. cody prop 0.210 0.705 0.000 +big isaac cody prop 0.000 0.000 0.000 +editor stringfellow prop 0.886 0.000 0.000 +stringfellow prop 1.174 0.000 0.000 +young will prop 11.877 0.000 2.819 +isaac cody prop 0.000 0.000 0.000 +alexander majors prop 2.538 0.000 0.000 +majors prop 3.701 0.000 0.000 +mrs. cody prop 0.012 1.408 0.000 +fort kearney prop 0.000 0.000 0.271 +a. majors prop 0.000 0.000 0.000 +frank mccarthy prop 0.432 0.000 0.000 +william frederick cody prop 1.053 0.000 0.000 +jim bridger prop 1.933 0.000 0.000 +jim hickok prop 0.000 0.000 0.000 +will cody prop 0.507 0.000 0.247 +cap'n jack prop 0.648 0.128 0.000 +louisa frederici prop 0.000 0.916 0.000 +private cody prop 0.000 0.000 0.000 +general sterling price prop 0.000 1.000 0.000 +miss frederici prop 0.000 0.562 0.000 +rufe prop 0.616 0.000 0.000 +miz cody prop 0.000 0.000 0.000 +dingle prop 0.995 0.000 0.000 +helen cody prop 0.000 1.346 0.000 +red - eye prop 0.000 0.000 0.000 +james butler hickok prop 1.322 0.000 0.043 +holladay prop 0.016 0.000 0.857 +black kettle prop 5.144 0.000 0.000 +lucretia borgia prop 2.420 0.807 1.628 +gen'ral custer prop 0.264 0.000 0.000 +mistuh cody prop 0.330 0.000 0.000 +arta prop 5.550 16.732 0.419 +little arta prop 0.000 0.516 0.000 +billy comstock prop 0.588 0.000 0.000 +fort wallace prop 0.282 0.000 0.000 +messrs. cody prop 0.000 0.000 0.000 +louisa)—will prop 1.370 0.000 0.000 +general e. a. carr — prop 1.349 0.000 0.000 +general penrose prop 1.042 0.000 0.000 +general carr prop 0.948 0.000 1.121 +general e. a. carr prop 0.515 0.000 0.000 +colonel evans prop 0.000 0.000 1.539 +pawnee scouts prop 0.000 0.000 0.717 +major north prop 0.000 0.000 0.717 +tonka haska prop 0.489 0.000 0.000 +ned buntline prop 6.630 0.000 0.000 +funny , fat ned buntline prop 0.700 0.000 0.000 +buntline prop 23.424 0.000 5.076 +young hickok prop 0.000 0.000 0.000 +edward zane carroll judson prop 0.000 0.000 0.000 +tall bull prop 0.511 0.000 0.000 +powder face prop 0.549 0.000 0.000 +lute north prop 0.000 0.000 0.867 +chief tall bull prop 0.454 0.000 0.000 +kit carson cody prop 0.715 0.000 0.000 +the fredericis prop 0.000 0.469 0.000 +fort mcpherson prop 1.941 0.036 0.751 +commodore james gordon bennett prop 0.000 0.000 0.000 +michael sheridan prop 0.000 0.000 0.000 +buckskin joe prop 0.000 0.687 0.814 +james gordon bennett prop 1.985 0.000 0.000 +civilization prop 0.401 1.000 0.000 +spotted tail prop 18.124 0.000 5.939 +dr. east prop 2.337 0.000 0.000 +lew decker prop 0.740 0.000 0.278 +j. g. heckscher prop 0.605 0.000 0.267 +schuyler crosby prop 2.147 0.000 0.000 +heckscher prop 3.127 0.000 0.000 +hazel eye prop 0.508 0.738 0.000 +niblo prop 0.360 0.000 0.000 +j. b. studley prop 0.702 0.000 0.000 +salt prop 0.013 1.000 0.000 +jack mckandless prop 0.000 0.000 0.000 +commodore bennett prop 0.722 0.000 0.000 +colonel guss prop 0.000 0.444 0.000 +general e. z. c. judson prop 0.000 0.000 0.000 +guss prop 2.477 0.000 0.006 +louisa cody prop 0.000 0.000 1.049 +general reynolds prop 1.238 0.000 0.000 +sam grant prop 0.660 0.000 0.000 +t. b. prop 1.909 0.000 0.000 +omohundro prop 0.481 0.278 0.044 +texas jack prop 9.420 0.000 2.116 +buffalo chips prop 0.426 0.000 0.000 +jim nixon prop 0.019 0.000 0.505 +cale durg prop 0.329 0.000 0.000 +morlacchi prop 2.129 0.000 0.000 +mr. t. b. omohundro prop 0.000 0.747 0.000 +neapolitan prop 0.144 0.514 0.000 +la morlacchi prop 0.000 0.000 0.000 +dove eye prop 1.167 0.000 0.000 +the codys prop 0.000 0.000 0.924 +elizabeth guss prop 0.000 2.663 0.000 +moriacchi prop 0.000 0.958 0.000 +mr. hickok prop 1.752 0.000 0.000 +arizona john prop 8.419 1.487 4.195 +beadle prop 1.000 0.000 0.000 +arizona john burke prop 0.597 0.000 0.000 +orra prop 0.003 3.624 0.000 +sitting prop 0.000 1.026 0.000 +colonel mills prop 0.691 0.000 0.000 +general wesley merritt prop 0.889 0.000 0.000 +preacher george prop 0.000 0.000 0.000 +gall prop 2.020 0.000 0.658 +lieutenant hall prop 0.000 0.000 0.000 +john tait prop 0.000 0.000 0.000 +buffalo chips " white prop 0.000 0.000 0.000 +lieutenant king prop 0.000 0.000 0.000 +yellow hand prop 2.315 0.000 0.000 +chips white prop 0.585 0.000 0.000 +mccall prop 0.000 0.528 0.000 +major gordon w. lillie prop 0.000 0.000 0.000 +buffalo chips white prop 0.000 0.000 0.000 +frank north prop 1.827 0.000 0.000 +chief yellow hand prop 0.754 0.000 0.000 +bill goodman prop 1.836 0.000 0.000 +samuel cody prop 0.000 0.533 0.000 +white beaver prop 0.517 0.000 0.000 +cheyenne bullet prop 0.547 0.126 0.000 +major burke prop 1.728 0.000 0.840 +captain a. h. bogardus prop 0.000 0.000 0.000 +frank butler prop 0.612 0.000 1.799 +phoebe anne prop 0.000 0.000 0.000 +sells brothers prop 0.000 0.000 0.000 +mr. salsbury prop 0.000 0.000 0.000 +mrs. butler prop 0.000 0.632 2.167 +nate salsbury prop 5.691 0.000 0.000 +salsbury prop 18.170 0.000 0.000 +phoebe anne butler prop 0.000 1.398 0.000 +oakley prop 7.918 0.000 0.075 +little missy prop 0.000 2.958 0.000 +olinger prop 0.000 0.000 0.000 +harry h. tammen prop 0.000 0.000 0.000 +floto prop 0.000 0.000 0.000 +tammen prop 8.531 0.000 0.000 +pahaska prop 0.000 0.000 0.000 +h. h. tammen prop 0.000 0.000 0.000 +the colonel prop 0.000 0.000 0.000 +grass prop 0.000 0.000 0.000 +mayor carter harrison prop 1.038 0.000 0.000 +con groner prop 0.424 0.000 0.000 +bob haslam prop 0.769 0.000 0.000 +bill irving prop 0.644 0.000 0.000 +kit bullard prop 0.000 0.000 0.000 +prentiss ingraham prop 0.000 0.869 1.393 +john nelson prop 1.102 0.000 0.000 +buck taylor prop 3.476 0.000 0.000 +jule keene prop 0.000 0.000 0.000 +doc carver prop 0.995 0.000 0.000 +the arapaho prop 0.000 0.000 3.519 +james mclaughlin prop 1.000 0.000 0.000 +mclaughlin prop 0.042 0.000 3.194 +henry m. teller prop 0.226 0.000 0.000 +the honorable william f. cody prop 0.473 0.000 0.000 +colonel alvaren allen prop 0.881 0.000 0.000 +simon girtys prop 0.518 0.000 0.000 +father whitehair prop 0.000 0.000 0.965 +crow foot prop 1.352 1.092 0.000 +longhair cody prop 0.965 0.000 0.000 +bluecoat grant prop 0.644 0.000 0.000 +major longhair burke prop 0.000 0.000 0.000 +little sure - shot prop 0.000 0.000 0.000 +general e. a. can prop 0.000 0.000 0.000 +colonel cody prop 1.991 0.000 0.000 +mr. boal prop 0.000 0.444 0.000 +chiefs red cloud prop 0.000 0.000 0.277 +aristocratic prop 0.144 0.000 0.000 +t. barnum prop 0.000 0.000 0.000 +henry irving prop 0.000 0.000 0.000 +frank james prop 2.538 0.000 0.000 +steele mackaye prop 0.000 0.000 0.000 +chief red shirt prop 1.685 0.000 0.000 +lord ronald gower prop 0.342 0.000 0.000 +arta cody prop 0.631 0.000 0.000 +lord gower prop 0.169 0.804 0.000 +chief crazy horse prop 0.221 0.000 0.000 +general nelson a. miles prop 0.350 0.000 0.000 +st. joan prop 0.000 0.344 0.000 +colonel sir henry ewart prop 0.764 0.000 0.000 +sergeant bates prop 0.000 0.000 0.000 +captain jack slade prop 0.239 0.000 0.000 +lillian smith prop 0.000 0.000 0.000 +joseph pulitzer prop 2.111 0.000 0.107 +annee oaklee prop 0.000 0.000 0.000 +prince roland bonaparte prop 0.355 0.000 0.000 +the vicomtesse chardon de briailes prop 1.000 0.000 0.000 +ex - queen isabella prop 0.358 0.000 0.000 +dr. miguel razaforte prop 0.000 0.000 0.000 +razaforte prop 0.955 0.000 0.000 +roustabouts prop 0.276 0.000 0.000 +red shirt prop 10.787 0.000 3.459 +ed goodman prop 0.116 0.000 0.298 +pope leo xiii prop 0.718 0.000 0.246 +karl may prop 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otto prop 0.000 0.000 0.500 +gil otto prop 0.340 0.000 0.000 +rodney lomack prop 5.852 0.000 0.350 +lomack prop 38.466 0.000 1.778 +rod lomack prop 0.009 0.048 1.000 +david barone prop 0.000 0.000 0.000 +amen comer prop 0.516 0.000 0.000 +eats prop 6.279 0.000 3.195 +al trankina prop 0.461 0.000 0.000 +trankina prop 2.108 0.000 0.004 +katy o’brien prop 0.000 0.000 0.000 +mrs. carl ryan prop 0.000 0.000 0.909 +mr. ryan prop 0.527 0.000 2.335 +libby ryan prop 0.000 0.526 0.000 +eats o’day prop 1.162 0.000 0.000 +izzy goldman prop 2.833 0.000 0.000 +chief barone prop 1.072 0.000 0.000 +a1 trankina prop 0.080 0.000 0.965 +sergeant lomack prop 7.155 0.000 0.000 +thomas otto prop 0.000 0.000 0.000 +babe downey prop 0.079 0.770 0.000 +dr. coming prop 3.218 0.865 0.000 +david dawkins prop 0.606 0.000 0.000 +jenny mills prop 0.000 1.052 0.000 +john mills prop 0.000 0.000 0.000 +father d prop 0.000 0.000 1.332 +rodney carter prop 0.000 0.264 0.000 +amy littleton prop 0.885 0.000 0.000 +seventee 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0.432 +archas prop 0.000 0.000 0.000 +raymond of toulouse prop 0.220 0.000 0.000 +blessed andrew prop 0.839 0.000 0.000 +ebrard prop 0.000 0.000 0.000 +william the good prop 0.000 0.000 0.000 +william maluspuer prop 0.510 0.000 0.000 +baldwin du bourg prop 3.230 0.000 0.674 +saint stephen prop 0.000 0.000 1.449 +iftikhar prop 1.282 0.000 0.000 +embriaco prop 0.000 0.000 0.000 +count galdemar prop 1.171 0.000 0.181 +achade de montmerle prop 0.000 0.000 0.000 +gilbert de trèves prop 0.000 0.000 0.000 +raymond piletus prop 0.000 0.000 0.000 +solinus prop 0.000 0.000 0.000 +marcus scaurus prop 0.755 0.000 0.229 +count ysoard prop 0.000 0.000 0.452 +william hugo prop 0.000 0.000 0.452 +sarrazin prop 0.128 0.000 0.811 +lethold de touraine prop 0.372 0.000 0.433 +lethold prop 0.231 0.000 0.279 +gaston de béarn prop 0.000 0.000 1.096 +gérard de roussillon prop 0.336 0.000 0.000 +thomas de la fère prop 0.336 0.000 0.000 +ludovic de moncons prop 0.015 0.000 0.339 +aelius hadrian prop 0.000 0.000 0.000 +archbishop william prop 4.878 0.000 0.000 +abbot guibert prop 1.340 0.000 0.000 +hugh the strong prop 0.287 0.000 0.000 +duke godfrey de bouillon prop 0.000 0.000 0.000 +count eustace prop 0.543 0.000 0.351 +al - afdal prop 2.929 0.000 0.000 +robert curthose prop 0.000 0.000 1.152 +count robert prop 0.000 0.000 0.000 +duke robert curthose prop 0.000 0.000 0.000 +daimbert prop 0.000 0.000 0.780 +paschal prop 0.207 0.000 0.000 +urban ii prop 0.000 0.000 0.000 +malik ghazi prop 2.195 0.000 0.000 +malik ghazi large prop 0.876 0.000 0.000 +septimius severus prop 0.000 0.000 0.000 +ginanhadoles prop 0.000 0.000 0.000 +ducath prop 0.000 0.000 0.000 +machpelah prop 0.000 0.000 0.000 +ramlah prop 0.806 0.000 2.663 +bervold prop 0.307 0.000 0.000 +geldemar carpenel prop 0.261 0.000 0.000 +constable conrad prop 0.000 0.000 0.515 +dorylaeum prop 1.036 0.000 0.000 +oderic vitalis prop 0.000 0.574 0.000 +goderic prop 0.000 0.331 0.366 +gerbod de winthinc prop 0.350 0.000 0.000 +ibn al - athir prop 2.319 0.000 0.000 +toghtekin prop 1.948 0.000 0.000 +gervase de basoches prop 0.000 0.000 0.000 +roger de rozoy prop 0.322 0.000 0.610 +emperor constantine prop 0.698 0.000 0.000 +anseau prop 0.000 0.000 0.000 +king magnus barefoot prop 0.000 0.000 0.440 +jorsalfarer prop 0.000 0.000 0.000 +sigurd jorsalfarer prop 0.000 0.000 0.000 +ibn al - qalanisi prop 0.343 0.000 0.000 +guibert prop 0.000 1.523 0.000 +countess adelaide prop 0.006 0.867 0.000 +emir tankridos prop 0.692 0.000 0.000 +nicolas kallicles prop 0.000 0.000 0.670 +michael pantechnes prop 0.000 0.000 0.670 +ilghazi prop 3.694 0.000 0.000 +kamal al - din prop 0.501 0.000 0.000 +walter the chancellor prop 0.000 0.000 0.883 +blessed mary prop 0.620 1.873 0.485 +addo prop 0.783 0.000 0.000 +count joscelin prop 5.023 0.000 0.941 +galeran prop 0.000 0.000 0.460 +lord joscelin prop 1.598 0.000 2.082 +odericus vitalis prop 0.000 0.000 0.776 +lord galeran prop 0.000 0.000 0.000 +joveta prop 1.025 0.016 0.000 +saint lazarus prop 0.347 0.000 0.663 +anazarbus prop 0.654 0.000 0.000 +danishmend prop 0.910 0.000 0.000 +melisende prop 2.000 0.024 0.000 +fulk d’anjou prop 0.932 0.000 0.000 +geoffrey the monk prop 0.000 0.000 0.000 +hugh puiset prop 3.599 0.000 0.000 +king fulk prop 5.214 0.000 0.000 +lord walter garnier prop 0.426 0.000 0.000 +queen melisende prop 0.000 0.513 0.000 +mu’in al - din prop 0.351 0.000 0.000 +usama ibn munqidh prop 0.000 0.000 1.000 +amalric prop 8.847 0.000 0.000 +baldwin iii prop 1.257 0.000 0.617 +count joscelin ii prop 0.671 0.000 0.000 +zengi prop 5.710 0.000 0.000 +archbishop hugh prop 1.440 0.000 0.000 +the youthful count joscelin prop 1.340 0.000 0.000 +yaruqtash prop 0.060 0.000 0.907 +nur al - din mahmud prop 1.696 0.000 0.000 +the timorous young count joscelin prop 1.000 0.000 0.000 +nur al - din prop 7.133 0.000 0.000 +michael the syrian prop 0.000 0.000 0.000 +pope eugenius iii prop 0.352 0.000 0.000 +bernard de clairvaux prop 0.635 0.000 0.000 +queen eleanor of prop 0.258 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daula prop 0.000 0.000 0.000 +alp arslan prop 1.453 0.000 0.000 +ridwan prop 0.056 0.000 0.890 +the mute prop 0.837 0.000 0.000 +loulou prop 0.000 5.739 1.229 +sequin prop 0.500 0.000 0.000 +munqidhites prop 0.000 0.000 0.000 +ushama ibn munquidh prop 0.430 0.000 0.000 +barac prop 0.000 0.000 0.000 +thabat prop 0.716 0.426 0.000 +ushama prop 0.000 0.000 0.000 +king amalric prop 0.008 0.000 1.346 +emperor charlemagne prop 0.000 0.000 0.000 +the learned alcuin prop 0.000 0.000 0.000 +boaldelle prop 2.526 0.000 0.000 +seiher de mamedunc prop 0.000 0.000 0.000 +godescalous de turout prop 0.000 0.000 0.000 +eudes de saint - amand prop 0.000 0.000 0.000 +walter du maisnilio prop 0.192 0.000 0.000 +lord hugh prop 0.000 0.000 0.797 +geoffrey fulcher prop 0.000 0.000 0.000 +geoffrey the templar prop 0.000 0.000 0.372 +gyascutus prop 0.840 0.000 0.000 +barghest prop 0.840 0.000 0.000 +al - adid prop 2.495 0.000 0.000 +- adid prop 0.539 0.000 0.000 +shams al - khilafa prop 0.000 0.000 1.106 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chatillon prop 4.082 0.000 0.000 +brins arnat prop 0.000 0.000 0.975 +ralph de merle prop 0.000 0.000 0.000 +walter de saint - omer prop 0.000 0.000 0.000 +yves de nesle prop 0.000 0.333 0.000 +seljuk turks prop 0.350 0.000 0.000 +reynauld prop 4.109 0.000 0.226 +john comnenus prop 0.000 0.000 0.000 +étienne de kerak prop 0.518 0.000 0.000 +husam al - din prop 0.000 0.000 0.000 +lady étienne prop 0.000 3.355 0.000 +ibelin prop 0.000 0.000 0.000 +conrad de montferrat prop 1.610 0.000 0.000 +lord conrad prop 0.001 0.350 0.000 +guy de senlis prop 0.000 0.000 0.000 +ibn jubayr prop 0.000 0.000 0.000 +guy de lusignan prop 5.022 0.000 0.000 +sibylla prop 0.000 2.238 0.767 +patriarch heraclius prop 0.000 0.000 0.000 +- afdal prop 0.000 0.000 0.936 +the templars prop 2.655 0.000 1.238 +jakeline de maille prop 0.262 0.000 0.000 +gérard de ridfort prop 2.313 0.000 0.000 +marshal jakeline prop 0.957 0.000 0.358 +geoffrey de vinsauf prop 3.587 0.000 1.434 +abu prop 37.745 0.000 0.000 +shama prop 0.000 0.000 0.000 +eschiva prop 0.650 0.000 0.000 +countess eschiva prop 0.000 1.443 0.000 +king guy prop 3.212 0.000 0.681 +plivano prop 0.000 0.752 0.000 +laodicius prop 0.000 0.000 0.271 +ralph buceus prop 0.000 0.000 0.271 +reynald of prop 0.000 0.000 0.368 +balian d’ibelin prop 0.110 0.000 0.257 +mangouras prop 0.000 0.000 0.445 +saint martin calidus prop 0.408 0.000 0.000 +imad al - din prop 0.000 0.000 1.173 +reynauld de prop 0.000 0.000 0.000 +william de montferrat prop 0.000 0.000 0.000 +mélusine prop 0.719 0.000 0.000 +caracois prop 0.609 0.000 0.000 +muhammed al - kadersi prop 0.000 0.000 0.000 +al - athir prop 0.537 0.429 0.000 +jebail prop 1.286 0.000 0.000 +marquis conrad de montferrat prop 0.006 0.000 1.000 +sancho martín prop 1.298 0.000 0.000 +marquis conrad prop 4.495 0.000 0.000 +archbishop joscius prop 0.982 0.000 0.000 +joscius prop 0.396 0.000 0.235 +urban iii prop 0.192 0.000 0.000 +maria comnena prop 0.110 0.000 0.512 +queen sibylla prop 0.000 0.000 0.472 +lord balian prop 1.333 0.000 2.388 +thomassin d’ibelin prop 0.096 0.000 0.253 +guillemin de jubail prop 0.233 0.000 0.538 +malik al - adil prop 2.435 0.000 0.000 +burac prop 0.000 0.000 0.368 +dajjal prop 0.000 0.000 0.547 +allahu akbar prop 0.699 0.000 0.000 +ayub prop 1.151 1.066 1.339 +robert de coudre prop 0.000 0.000 0.000 +fulk fiole prop 0.000 0.000 1.270 +lady étienne de kerak prop 0.033 1.752 0.000 +margaret of beverley prop 0.000 0.792 0.000 +hulnon prop 0.489 0.510 0.000 +kerak prop 0.000 0.000 0.000 +montréal prop 0.000 0.000 0.000 +marquis william de montferrat prop 0.524 0.000 0.000 +thomas becket prop 0.000 0.000 0.000 +ubaldo prop 0.003 0.000 0.934 +reynald prop 1.429 0.000 0.000 +lord reynald prop 1.607 0.000 0.000 +venetians prop 0.009 0.000 4.662 +james d’avesnes prop 1.131 0.000 0.995 +beha al - din prop 4.720 0.000 0.000 +emir caracusch prop 0.000 0.000 0.538 +gerard of prop 0.000 0.000 0.000 +bishop philip of prop 0.000 0.000 0.000 +margrave louis prop 0.225 0.000 0.000 +taqi prop 0.000 0.000 0.000 +andrew de brienne prop 0.000 0.000 0.000 +torel de mesnil prop 0.000 0.000 0.000 +memnon prop 1.712 0.000 0.000 +nargenot du bourg prop 0.000 0.000 0.000 +otho de la fosse prop 0.000 0.000 0.000 +william goez prop 0.000 0.000 0.000 +count richard prop 0.000 0.000 0.000 +engelram de prop 0.000 0.000 0.000 +theobald de bar prop 0.000 0.000 0.000 +count john prop 0.000 0.000 0.000 +hervey de gien prop 0.000 0.000 0.000 +guy de dampierre prop 0.000 0.000 0.000 +count nicholas prop 0.000 0.000 0.000 +ivo de vipont prop 0.598 0.000 0.000 +isa prop 1.830 0.000 0.000 +count robert de dreux prop 0.000 0.000 0.000 +bellegemin prop 0.700 0.000 0.000 +caracusch prop 0.500 0.000 0.000 +king henry plantagenet prop 0.350 0.000 0.000 +richard lionheart prop 5.282 0.000 0.979 +frederick barbarossa prop 0.000 0.000 0.517 +emperor frederick barbarossa prop 0.463 0.000 0.000 +soldarii prop 0.000 0.000 0.396 +mahomet 584 prop 0.000 0.000 0.000 +pincenates prop 0.000 0.000 0.215 +bulgarians prop 0.000 0.000 0.497 +emperor isaac prop 0.000 0.000 0.000 +salus prop 0.881 0.000 0.000 +bonifacio prop 0.000 0.000 0.909 +carybdis prop 0.346 0.000 0.000 +margarit prop 0.190 0.000 0.135 +peter tireprete prop 0.000 0.000 0.000 +matthew de saulcy prop 0.000 0.000 0.000 +radulph de roverei prop 0.000 0.000 0.000 +mategriffon prop 0.000 0.000 0.000 +berengaria prop 1.822 0.269 0.000 +constantius prop 47.857 0.000 3.241 +melsemuth prop 0.000 0.000 0.641 +antiochene prop 0.000 0.000 0.000 +king tancred prop 0.000 0.000 0.000 +isaac ducas comnenus prop 0.017 0.000 1.300 +catulus prop 0.361 0.000 0.000 +saint mark the evangelist prop 0.000 0.000 0.398 +isaac ducas prop 2.267 0.324 1.760 +lady berengaria prop 0.000 0.000 0.000 +guenelon prop 0.000 0.000 0.684 +roger catulus prop 0.000 0.000 0.000 +william de préaux prop 1.098 0.000 0.000 +pain de caiffa prop 0.269 0.000 0.000 +drogo de mirle prop 0.000 0.000 0.000 +didemus prop 0.254 0.000 0.000 +bufevent prop 0.254 0.000 0.000 +cherimes prop 0.254 0.000 0.000 +ralph fitz godfrey prop 0.237 0.000 0.000 +fauvel prop 0.821 0.000 0.000 +ptolemais prop 0.000 0.000 0.000 +peter des barres prop 0.000 0.905 0.694 +renegadoes prop 0.000 0.492 0.000 +queen berengaria prop 0.004 1.781 0.000 +poictou prop 0.387 0.000 0.000 +guillaume des barres prop 0.767 0.000 0.145 +the frank prop 0.303 0.000 0.000 +guillaume prop 3.339 0.000 0.000 +lionheart prop 0.000 0.000 0.818 +godfrey de lusignan prop 0.000 0.000 0.404 +jordan de humez prop 0.000 0.000 0.000 +earl robert of leicester prop 0.000 0.000 0.000 +radulph taisson prop 0.000 0.000 0.000 +gérard de talebor prop 0.000 0.000 0.000 +henry fitz nicholas prop 0.000 0.000 0.000 +william martel prop 0.000 0.000 0.000 +william bloez prop 0.000 0.000 0.000 +hugh de fierte prop 0.000 0.000 0.000 +aubry clément prop 0.718 0.000 0.000 +marshal aubry prop 0.000 0.000 0.000 +marshal clément prop 0.773 0.000 0.000 +archduke leopold of austria prop 0.417 0.000 0.000 +saint mary magdalene prop 1.228 0.000 0.000 +archbishop william joinville prop 0.000 0.000 0.000 +john fitz - luke prop 0.000 0.000 0.000 +maccabeus prop 0.000 0.000 0.803 +ayas estoï prop 1.000 0.000 0.000 +angevins prop 0.000 0.000 0.000 +bretons prop 0.000 0.000 0.000 +huon de gournai prop 0.000 0.000 0.331 +william borriz prop 0.000 0.000 0.331 +duquedin prop 0.740 0.000 0.000 +ambroise the jongleur prop 0.000 0.000 0.000 +saracenic prop 1.313 0.000 0.000 +melech prop 0.000 0.000 0.970 +reynier de marun prop 0.337 0.000 0.000 +luke de stabulo prop 0.532 0.000 0.000 +saracen prop 0.000 0.000 0.000 +stephen de torneham prop 0.378 0.000 0.000 +henry de mailoe prop 0.000 0.000 0.000 +saul de bruil prop 0.000 0.000 0.000 +garin fitz - gerald prop 0.533 0.000 0.000 +drogo de fontenille putrell prop 0.000 0.000 0.000 +robert nigel prop 0.025 0.000 0.952 +eighty prop 0.201 0.000 0.357 +mirabel prop 0.000 1.727 0.000 +saint alphage prop 1.044 0.000 0.000 +earl john prop 0.338 0.000 0.000 +bishop milo prop 1.864 0.000 0.000 +erwis prop 0.000 0.000 0.703 +lady isabella prop 0.000 0.874 0.000 +daron prop 0.262 0.000 0.000 +seguin borret prop 0.262 0.000 0.000 +stephen de longchamp prop 0.000 0.000 0.000 +andrew de chavegui prop 0.000 0.000 2.110 +whitsuntide prop 0.000 0.000 0.819 +chancellor william prop 0.000 0.000 0.000 +leonardie prop 0.000 0.000 0.000 +count henry prop 0.614 0.000 0.000 +hospitalers prop 0.049 0.000 0.991 +alberic de reims prop 0.840 0.000 0.000 +theobald de trèves prop 0.000 0.000 0.000 +osbert waldin prop 0.000 0.000 0.000 +augustin de londres prop 0.000 0.000 0.000 +geoffrey du bois prop 0.000 0.000 0.269 +peter de pratelles prop 0.000 0.000 0.269 +cordivi prop 1.195 0.000 0.000 +menelones prop 1.194 0.000 0.001 +the cordivi prop 0.000 0.000 0.000 +ralph de mauléon prop 0.581 0.000 0.000 +gerald de finival prop 0.000 0.000 0.000 +roger de sacy prop 0.411 0.000 0.000 +count henry of leicester prop 0.411 0.000 0.000 +melech richard prop 1.373 0.000 0.000 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1.470 +dawn majewski prop 0.000 0.350 0.000 +alice everson prop 0.000 0.813 0.000 +robert finn prop 0.191 0.000 0.000 +senator english major o'connor prop 0.000 1.109 0.000 +mr. morality prop 0.000 0.908 0.083 +the hingham dweebs prop 0.542 0.123 0.000 +mr. and mrs. robert finn prop 0.000 0.000 0.540 +mrs. finn prop 0.000 2.147 0.000 +another gary hart prop 0.000 0.000 0.000 +mort blumenthal prop 0.364 0.000 0.000 +mort — prop 1.102 0.059 0.000 +tom donato prop 3.566 0.000 0.000 +erin go bragh prop 0.000 0.000 0.000 +tom glenn prop 3.201 0.000 0.001 +another paul everson prop 0.517 0.000 0.000 +southie prop 1.403 0.000 0.000 +joe costello prop 0.000 0.342 0.000 +— costello prop 0.978 0.001 0.000 +charles kenton prop 1.644 0.000 0.000 +larmore prop 0.316 0.000 0.000 +waltham prop 0.276 0.000 0.000 +larry spalding prop 2.961 0.000 0.000 +sid blomberg prop 1.594 0.000 0.000 +henrietta perlstein prop 0.565 0.130 0.000 +mrs. whelan prop 0.000 0.000 0.359 +nantasket prop 0.000 0.346 0.000 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pentlands prop 0.078 0.000 2.242 +the pentland family prop 0.226 0.000 1.005 +mr. longfellow prop 1.499 0.000 0.000 +thérèse callendar prop 0.000 0.000 0.000 +sabine callendar prop 0.988 6.652 0.013 +aunt cassie struthers prop 0.000 0.907 0.000 +aunt cassie prop 2.702 111.152 9.518 +olivia pentland prop 3.609 0.117 0.000 +the glittering , disagreeable sabine callendar prop 0.000 1.000 0.000 +john pentland prop 18.725 15.509 0.142 +cousin struthers smallwood prop 0.000 0.000 0.000 +mr. struthers prop 2.380 6.442 0.000 +miss peavey prop 1.000 28.378 0.000 +savina pentland prop 0.000 22.833 0.000 +pentland prop 0.016 1.865 0.382 +old john pentland prop 3.714 2.850 1.640 +old mrs. soames prop 0.000 4.360 1.068 +rodney phillips prop 0.000 0.000 0.000 +old mr. tilney prop 0.000 0.000 0.000 +bishop smallwood prop 3.944 0.000 0.000 +old mr. pentland prop 0.528 0.173 0.000 +poor battered old mrs. soames prop 0.000 0.411 0.000 +boys who were used to calling young girls prop 0.000 0.000 0.000 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clèves prop 0.000 0.000 0.000 +madame la dauphine prop 0.000 1.528 0.000 +“ hardhead ” smith prop 0.542 0.000 0.000 +callendar prop 0.000 0.983 0.000 +mrs. callendar prop 0.001 5.391 0.000 +mrs. so - prop 0.000 0.000 0.000 +old mrs. pentland prop 0.000 3.474 1.594 +little sabine prop 0.000 0.715 0.000 +the starched miss egan prop 0.000 1.014 0.000 +ned struthers prop 0.758 0.000 0.000 +doctor jenkins prop 0.011 1.526 0.000 +old nannie prop 0.000 0.000 0.000 +the starched and efficient miss egan prop 0.000 0.000 0.000 +jean de cyon prop 1.439 1.929 0.000 +mannerings prop 0.000 0.499 0.000 +sutherlands prop 0.000 0.499 0.000 +mrs. anson pentland prop 0.000 0.000 0.000 +rev. josiah milford prop 0.388 0.000 0.000 +mrs. malson prop 0.000 0.524 0.000 +mrs. featherstone prop 0.525 0.000 0.000 +pentland ancestry prop 0.000 0.000 0.000 +doctor holmes prop 0.000 0.305 0.000 +the good , kind mr. longfellow prop 0.000 0.305 0.000 +struthers pentland prop 0.000 0.000 0.931 +mrs. richard callendar prop 1.000 0.000 0.000 +de cyon prop 2.021 0.728 0.000 +lilli barr prop 0.000 2.270 0.000 +independent , clever thérèse prop 0.000 0.582 0.000 +madame de cyon prop 0.000 0.502 0.000 +lily de cyon prop 1.187 0.473 0.000 +mademoiselle vernueil prop 0.000 1.068 0.000 +young de cyon prop 1.000 2.112 0.000 +miss pentland prop 1.033 1.064 0.000 +havaad prop 1.518 0.000 0.000 +fergus tolliver prop 0.000 0.000 0.000 +mrs. j. pentland prop 0.000 0.000 0.000 +mrs. jared pentland prop 0.000 0.473 0.000 +carissima prop 0.753 0.000 0.000 +black hannah prop 0.000 0.861 0.000 +savina dalgedo prop 1.329 1.445 0.000 +the brahmins prop 0.000 0.000 0.810 +cassandra pentland struthers prop 0.000 0.255 0.000 +mrs. edward cane struthers prop 0.000 0.255 0.000 +mrs. cane callendar prop 0.000 0.000 0.000 +the unscrupulous sabine prop 0.000 0.000 0.000 +milford prop 0.000 0.715 0.000 +the reverend josiah milford prop 0.096 0.931 0.000 +jean … prop 0.000 0.000 0.000 +jean dear prop 0.269 0.294 0.000 +monsieur de cyon prop 0.000 0.000 0.000 +john shane prop 0.000 0.523 0.695 +the “ outlandish thérèse prop 0.719 0.000 0.000 +“ dear mr. lowell prop 0.000 0.000 0.000 +“ good , kind mr. longfellow prop 0.553 0.000 0.000 +olivia dear prop 0.291 0.000 0.856 +john mannering prop 0.000 0.000 0.000 +sabine ’s prop 0.000 1.246 0.000 +ukulele lady prop 0.000 0.000 0.506 +“ pentlands prop 1.031 0.007 0.000 +the john pentland prop 0.000 0.877 0.000 +the starched , the efficient miss egan prop 0.152 0.009 0.824 +john gavin prop 0.549 0.000 0.000 +the distinguished old de cyon prop 0.000 0.878 0.000 +mrs. pulsifer prop 0.000 0.391 0.000 +kate pulsifer prop 0.000 0.359 0.000 +the indolent sabine prop 0.000 0.521 0.000 +the familiar bored sabine prop 0.000 0.577 0.000 +another john pentland prop 0.000 0.000 0.000 +a mr. gavin prop 0.000 0.305 0.000 +the red - haired little sabine prop 0.864 0.000 0.000 +miss sybil prop 0.000 0.466 0.000 +mr. de cyon prop 0.557 0.000 0.000 +miss annie spragg prop 0.000 0.000 0.000 +mrs. parkington prop 0.000 0.000 0.000 +kerry mcgrath prop 7.186 17.142 0.000 +bob kinellen prop 16.376 0.000 0.000 +barbara tompkins prop 3.989 13.134 0.000 +kate carpenter prop 0.009 4.798 0.000 +dr. charles smith prop 6.321 1.240 0.577 +robin kinellen prop 1.460 0.054 0.000 +grace hoover prop 0.000 1.085 2.219 +robert kinellen prop 0.540 0.000 0.000 +anthony bartlett prop 1.878 0.000 0.549 +the kinellens prop 0.000 0.000 0.000 +james forrest weeks prop 0.587 1.480 0.000 +kinellen prop 5.781 3.584 0.000 +barney haskell prop 6.022 0.000 0.038 +jimmy weeks prop 24.791 0.064 2.268 +charles smith prop 4.273 0.104 0.000 +jonathan hoover prop 3.636 0.000 0.859 +frank green prop 16.653 3.309 2.607 +judge kafka prop 0.567 0.228 0.000 +alice bartlett prop 0.000 0.340 0.000 +ms. mcgrath prop 3.846 1.264 0.167 +pamela worth prop 0.309 1.749 0.902 +mrs. kinellen prop 0.000 0.000 0.000 +jimmy w. prop 0.736 0.000 0.000 +suzanne reardon prop 3.258 11.655 0.103 +corinne banks prop 0.000 0.318 0.000 +joe palumbo prop 7.051 0.345 0.050 +skip reardon prop 35.321 5.674 0.000 +geoffrey dorso prop 0.000 0.000 0.000 +dorso prop 1.661 0.001 0.000 +geoff dorso prop 15.060 0.039 1.912 +jason arnott prop 18.412 0.000 0.000 +a frederic remington prop 0.000 0.000 0.000 +the ellots prop 0.357 0.000 0.000 +donnatellis prop 0.357 0.000 0.000 +alice bartlett kinellen prop 0.000 0.675 0.000 +alice kinellen prop 0.021 0.668 0.000 +dr. charles smith — prop 0.000 0.000 0.000 +governor marshall prop 1.763 0.000 0.000 +“ farrell prop 0.000 0.000 0.000 +dolly bowles prop 0.040 9.223 0.000 +the reardon prop 0.000 1.528 0.000 +margaret mann prop 0.000 0.524 0.000 +stuart grant prop 0.911 0.005 0.000 +dr. ben roth prop 0.000 0.000 0.000 +dr. roth prop 3.032 0.000 0.000 +dallas cowboys prop 0.326 0.000 0.000 +mr. farrell prop 0.000 0.000 0.000 +anna owens prop 0.000 0.000 0.000 +susan grant prop 0.000 0.271 0.000 +wayne stevens prop 1.916 0.057 0.000 +president of the westdale women ’s prop 0.000 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+accommodator n 18 +accompaniment n 11 10 07 04 +accompanist n 18 +accompanying_vein n 08 +accompanyist n 18 +accomplice n 18 +accomplished_fact n 04 +accomplishment n 04 09 +accord n 26 10 07 +accord_and_satisfaction n 10 +accordance n 10 04 +accordance_of_rights n 04 +accordion n 06 +accordion_door n 06 +accordionist n 18 +accouchement n 22 +accoucheur n 18 +accoucheuse n 18 +account n 10 26 16 07 21 +account_book n 21 +account_executive n 18 +account_payable n 26 +account_representative n 18 +account_statement n 21 +accountability n 07 +accountancy n 04 +accountant n 18 +accountantship n 04 +accounting n 10 09 04 21 +accounting_data n 14 +accounting_entry n 21 +accounting_firm n 14 +accounting_principle n 09 +accounting_standard n 09 +accounting_system n 21 +accounts_payable n 21 +accounts_receivable n 21 +accouterment n 06 +accoutrement n 06 +accra n 15 +accreditation n 04 +accretion n 22 23 21 +accroides n 27 +accroides_gum n 27 +accroides_resin n 27 +accrual n 04 +accrual_basis n 21 +accruement n 04 +acculturation n 04 09 +accumulation n 22 14 04 21 +accumulator n 18 06 +accumulator_register n 06 +accuracy n 07 +accusal n 10 +accusation n 10 +accusative n 10 +accusative_case n 10 +accused n 18 +accuser n 18 +ace n 23 06 18 27 14 04 +ace_inhibitor n 06 +ace_of_clubs n 06 +ace_of_diamonds n 06 +ace_of_hearts n 06 +ace_of_spades n 06 +acebutolol n 06 +acedia n 04 +acellular_slime_mold n 20 +acentric_chromosome n 08 +acephalia n 26 +acephalism n 26 +acephaly n 26 +acer n 20 +acer_argutum n 20 +acer_campestre n 20 +acer_circinatum n 20 +acer_glabrum n 20 +acer_japonicum n 20 +acer_macrophyllum n 20 +acer_negundo n 20 +acer_negundo_californicum n 20 +acer_palmatum n 20 +acer_pennsylvanicum n 20 +acer_platanoides n 20 +acer_pseudoplatanus n 20 +acer_rubrum n 20 +acer_saccharinum n 20 +acer_saccharum n 20 +acer_spicatum n 20 +aceraceae n 20 +acerate_leaf n 20 +acerbity n 07 +acerola n 20 13 +acervulus n 20 +acetabulum n 08 +acetal n 27 +acetaldehyde n 27 +acetaldol n 27 +acetamide n 27 +acetaminophen n 06 +acetanilid n 06 +acetanilide n 06 +acetate n 27 06 +acetate_disk n 06 +acetate_rayon n 06 +acetic_acid n 27 +acetic_anhydride n 27 +acetin n 27 +acetoacetic_acid n 27 +acetone n 27 +acetone_body n 27 +acetonemia n 26 +acetonuria n 26 +acetophenetidin n 06 +acetphenetidin n 06 +acetum n 27 13 +acetyl n 27 +acetyl_chloride n 27 +acetyl_group n 27 +acetyl_radical n 27 +acetylation n 22 +acetylcholine n 27 +acetylene n 27 +acetylsalicylic_acid n 06 +achaea n 15 +achaean n 18 14 +achaian n 18 +ache n 26 +achene n 20 +acheron n 17 +acherontia n 05 +acherontia_atropos n 05 +acheson n 18 +acheson_process n 22 +acheta n 05 +acheta_assimilis n 05 +acheta_domestica n 05 +achievability n 26 +achievement n 04 +achiever n 18 +achille_ratti n 18 +achillea n 20 +achillea_millefolium n 20 +achillea_ptarmica n 20 +achilles n 18 +achilles'_heel n 07 +achilles_tendon n 08 +achimenes n 20 +aching n 26 +achira n 20 +achlorhydria n 26 +achmad_sukarno n 18 +achoerodus n 05 +achoerodus_gouldii n 05 +acholia n 26 +achomawi n 18 14 10 +achondrite n 17 +achondroplasia n 26 +achondroplasty n 26 +achras n 20 +achras_zapota n 20 +achromasia n 07 +achromatic_color n 07 +achromatic_colour n 07 +achromatic_lens n 06 +achromatic_vision n 09 +achromaticity n 07 +achromatin n 08 +achromatism n 07 +achromia n 07 +achromycin n 06 +achylia n 26 +achylia_gastrica n 26 +acicula n 17 +acid n 27 06 +acid-base_balance n 22 +acid-base_equilibrium n 22 +acid-base_indicator n 27 +acid_anhydrides n 27 +acid_dye n 27 +acid_halide n 27 +acid_head n 18 +acid_hydrogen n 27 +acid_precipitation n 26 +acid_rain n 26 +acid_rock n 10 +acid_test n 09 +acid_value n 23 +acidemia n 26 +acidic_hydrogen n 27 +acidification n 22 +acidimetry n 04 +acidity n 07 09 +acidophil n 05 +acidophile n 05 +acidophilus n 05 +acidophilus_milk n 13 +acidosis n 26 +acidulousness n 09 +acinonyx n 05 +acinonyx_jubatus n 05 +acinos n 20 +acinos_arvensis n 20 +acinus n 20 08 +acipenser n 05 +acipenser_huso n 05 +acipenser_transmontanus n 05 +acipenseridae n 05 +ack-ack n 06 +ack-ack_gun n 06 +ackee n 13 +acknowledgement n 26 10 +acknowledgment n 26 10 +aclant n 14 +aclinic_line n 15 +acme n 26 15 +acne n 26 +acne_rosacea n 26 +acne_vulgaris n 26 +acnidosporidia n 05 +acocanthera n 20 +acocanthera_oblongifolia n 20 +acocanthera_oppositifolia n 20 +acocanthera_spectabilis n 20 +acocanthera_venenata n 20 +acokanthera n 20 +acolyte n 18 +aconcagua n 17 +aconite n 20 +aconitum n 20 +aconitum_lycoctonum n 20 +aconitum_napellus n 20 +acoraceae n 20 +acorea n 26 +acores n 15 +acorn n 20 +acorn_barnacle n 05 +acorn_cup n 20 +acorn_squash n 20 13 +acorn_tube n 06 +acorus n 20 +acorus_calamus n 20 +acousma n 26 +acoustic n 06 +acoustic_aphasia n 26 +acoustic_buoy n 10 +acoustic_delay_line n 06 +acoustic_device n 06 +acoustic_gramophone n 06 +acoustic_guitar n 06 +acoustic_impedance n 19 +acoustic_meatus n 08 +acoustic_modem n 06 +acoustic_nerve n 08 +acoustic_phenomenon n 19 +acoustic_power n 07 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+actuation n 04 +actuator n 06 +actus_reus n 04 +acuity n 09 +acular n 06 +aculea n 05 +aculeus n 20 05 +acumen n 20 09 +acuminate_leaf n 20 +acupressure n 04 +acupuncture n 04 +acute n 10 +acute-angled_triangle n 25 +acute_accent n 10 +acute_angle n 25 +acute_anterior_poliomyelitis n 26 +acute_brain_disorder n 26 +acute_gastritis n 26 +acute_glaucoma n 26 +acute_glossitis n 26 +acute_hemorrhagic_encephalitis n 26 +acute_inclusion_body_encephalitis n 26 +acute_kidney_failure n 26 +acute_leukemia n 26 +acute_lymphoblastic_leukemia n 26 +acute_lymphocytic_leukemia n 26 +acute_myelocytic_leukemia n 26 +acute_myeloid_leukemia n 26 +acute_organic_brain_syndrome n 26 +acute_pyelonephritis n 26 +acute_renal_failure n 26 +acute_schizophrenic_episode n 26 +acute_triangle n 25 +acuteness n 09 07 +acyclovir n 06 +acyl n 27 +acyl_anhydrides n 27 +acyl_group n 27 +acyl_halide n 27 +acylation n 22 +acylglycerol n 27 +ad n 10 +ad-lib n 10 +ad_agency n 14 +ad_blitz n 04 +ad_campaign n 04 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32 +yodel v 32 +yoke v 35 +yowl v 32 +zap v 37 35 33 30 +zero v 30 +zero_in v 33 30 +zest v 39 +zigzag v 38 +zinc v 35 +zip v 35 38 +zip_by v 38 +zip_up v 35 +zipper v 35 +zone v 41 30 +zonk_out v 29 +zoom v 38 +zoom_along v 38 +zoom_in v 39 diff --git a/components/E2A-SML/booknlp/english/english_booknlp.py b/components/E2A-SML/booknlp/english/english_booknlp.py new file mode 100644 index 0000000..e334c5e --- /dev/null +++ b/components/E2A-SML/booknlp/english/english_booknlp.py @@ -0,0 +1,1094 @@ +import sys +import spacy +import copy +from booknlp.common.pipelines import SpacyPipeline +from booknlp.english.entity_tagger import LitBankEntityTagger +from booknlp.english.gender_inference_model_1 import GenderEM +from booknlp.english.name_coref import NameCoref +from booknlp.english.litbank_coref import LitBankCoref +from booknlp.english.litbank_quote import QuoteTagger +from booknlp.english.bert_qa import QuotationAttribution +from os.path import join +import os +import json +from collections import Counter +from html import escape +import time +from pathlib import Path +import urllib.request +import pkg_resources +import torch +import datetime + +class EnglishBookNLP: + + def __init__(self, model_params): + + with torch.no_grad(): + + start_time = time.time() + + print(model_params) + + spacy_model="en_core_web_sm" + if "spacy_model" in model_params: + spacy_model=model_params["spacy_model"] + + spacy_nlp = spacy.load(spacy_model, disable=["ner"]) + + valid_keys=set("entity,event,supersense,quote,coref".split(",")) + + pipes=model_params["pipeline"].split(",") + + self.gender_cats= [ ["he", "him", "his"], ["she", "her"], ["they", "them", "their"], ["xe", "xem", "xyr", "xir"], ["ze", "zem", "zir", "hir"] ] + + if "referential_gender_cats" in model_params: + self.gender_cats=model_params["referential_gender_cats"] + + home = str(Path.home()) + modelPath=os.path.join(home, "booknlp_models") + if "model_path" in model_params: + modelPath=model_params["model_path"] + + if not Path(modelPath).is_dir(): + Path(modelPath).mkdir(parents=True, exist_ok=True) + + if model_params["model"] == "big": + entityName="entities_google_bert_uncased_L-6_H-768_A-12-v1.0.model" + corefName="coref_google_bert_uncased_L-12_H-768_A-12-v1.0.model" + quoteAttribName="speaker_google_bert_uncased_L-12_H-768_A-12-v1.0.1.model" + + self.entityPath=os.path.join(modelPath, entityName) + if not Path(self.entityPath).is_file(): + print("downloading %s" % entityName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % entityName, self.entityPath) + + self.coref_model=os.path.join(modelPath, corefName) + if not Path(self.coref_model).is_file(): + print("downloading %s" % corefName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % corefName, self.coref_model) + + self.quoteAttribModel=os.path.join(modelPath, quoteAttribName) + if not Path(self.quoteAttribModel).is_file(): + print("downloading %s" % quoteAttribName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % quoteAttribName, self.quoteAttribModel) + + + elif model_params["model"] == "small": + entityName="entities_google_bert_uncased_L-4_H-256_A-4-v1.0.model" + corefName="coref_google_bert_uncased_L-2_H-256_A-4-v1.0.model" + quoteAttribName="speaker_google_bert_uncased_L-8_H-256_A-4-v1.0.1.model" + + self.entityPath=os.path.join(modelPath, entityName) + if not Path(self.entityPath).is_file(): + print("downloading %s" % entityName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % entityName, self.entityPath) + + self.coref_model=os.path.join(modelPath, corefName) + if not Path(self.coref_model).is_file(): + print("downloading %s" % corefName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % corefName, self.coref_model) + + self.quoteAttribModel=os.path.join(modelPath, quoteAttribName) + if not Path(self.quoteAttribModel).is_file(): + print("downloading %s" % quoteAttribName) + urllib.request.urlretrieve("http://people.ischool.berkeley.edu/~dbamman/booknlp_models/%s" % quoteAttribName, self.quoteAttribModel) + + elif model_params["model"] == "custom": + self.entityPath=model_params["entity_model_path"] + self.coref_model=model_params["coref_model_path"] + self.quoteAttribModel=model_params["quote_attribution_model_path"] + + + self.doEntities=self.doCoref=self.doQuoteAttrib=self.doSS=self.doEvent=False + + for pipe in pipes: + if pipe not in valid_keys: + print("unknown pipe: %s" % pipe) + sys.exit(1) + if pipe == "entity": + self.doEntities=True + elif pipe == "event": + self.doEvent=True + elif pipe == "coref": + self.doCoref=True + elif pipe == "supersense": + self.doSS=True + elif pipe == "quote": + self.doQuoteAttrib=True + + tagsetPath="data/entity_cat.tagset" + tagsetPath = pkg_resources.resource_filename(__name__, tagsetPath) + + + if "referential_gender_hyperparameterFile" in model_params: + self.gender_hyperparameterFile=model_params["referential_gender_hyperparameterFile"] + else: + self.gender_hyperparameterFile = pkg_resources.resource_filename(__name__, "data/gutenberg_prop_gender_terms.txt") + + pronominalCorefOnly=True + + if "pronominalCorefOnly" in model_params: + pronominalCorefOnly=model_params["pronominalCorefOnly"] + + if not self.doEntities and self.doCoref: + print("coref requires entity tagging") + sys.exit(1) + + if not self.doQuoteAttrib and self.doCoref: + print("coref requires quotation attribution") + sys.exit(1) + if not self.doEntities and self.doQuoteAttrib: + print("quotation attribution requires entity tagging") + sys.exit(1) + + + self.quoteTagger=QuoteTagger() + + if self.doEntities: + self.entityTagger=LitBankEntityTagger(self.entityPath, tagsetPath) + aliasPath = pkg_resources.resource_filename(__name__, "data/aliases.txt") + self.name_resolver=NameCoref(aliasPath) + + + if self.doQuoteAttrib: + self.quote_attrib=QuotationAttribution(self.quoteAttribModel) + + + if self.doCoref: + self.litbank_coref=LitBankCoref(self.coref_model, self.gender_cats, pronominalCorefOnly=pronominalCorefOnly) + + self.tagger=SpacyPipeline(spacy_nlp) + + print("--- startup: %.3f seconds ---" % (time.time() - start_time)) + + def get_syntax(self, tokens, entities, assignments, genders): + + def check_conj(tok, tokens): + if tok.deprel == "conj" and tok.dephead != tok.token_id: + # print("found conj", tok.text) + return tokens[tok.dephead] + return tok + + def get_head_in_range(start, end, tokens): + for i in range(start, end+1): + if tokens[i].dephead < start or tokens[i].dephead > end: + return tokens[i] + return None + + agents={} + patients={} + poss={} + mods={} + prop_mentions={} + pron_mentions={} + nom_mentions={} + keys=Counter() + + + toks_by_children={} + for tok in tokens: + if tok.dephead not in toks_by_children: + toks_by_children[tok.dephead]={} + toks_by_children[tok.dephead][tok]=1 + + for idx, (start_token, end_token, cat, phrase) in enumerate(entities): + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + + if ner_type != "PER": + continue + + coref=assignments[idx] + + keys[coref]+=1 + if coref not in agents: + agents[coref]=[] + patients[coref]=[] + poss[coref]=[] + mods[coref]=[] + prop_mentions[coref]=Counter() + pron_mentions[coref]=Counter() + nom_mentions[coref]=Counter() + + if ner_prop == "PROP": + prop_mentions[coref][phrase]+=1 + elif ner_prop == "PRON": + pron_mentions[coref][phrase]+=1 + elif ner_prop == "NOM": + nom_mentions[coref][phrase]+=1 + + + tok=get_head_in_range(start_token, end_token, tokens) + if tok is not None: + + tok=check_conj(tok, tokens) + head=tokens[tok.dephead] + + # nsubj + # mod + if tok.deprel == "nsubj" and head.lemma == "be": + for sibling in toks_by_children[head.token_id]: + + # "he was strong and happy", where happy -> conj -> strong -> attr/acomp -> be + sibling_id=sibling.token_id + sibling_tok=tokens[sibling_id] + if (sibling_tok.deprel == "attr" or sibling_tok.deprel == "acomp") and (sibling_tok.pos == "NOUN" or sibling_tok.pos == "ADJ"): + mods[coref].append({"w":sibling_tok.text, "i":sibling_tok.token_id}) + + if sibling.token_id in toks_by_children: + for grandsibling in toks_by_children[sibling.token_id]: + grandsibling_id=grandsibling.token_id + grandsibling_tok=tokens[grandsibling_id] + + if grandsibling_tok.deprel == "conj" and (grandsibling_tok.pos == "NOUN" or grandsibling_tok.pos == "ADJ"): + mods[coref].append({"w":grandsibling_tok.text, "i":grandsibling_tok.token_id}) + + + + # ("Bill and Ted ran" conj captured by check_conj above) + elif tok.deprel == "nsubj" and head.pos == ("VERB"): + agents[coref].append({"w":head.text, "i":head.token_id}) + + # "Bill ducked and ran", where ran -> conj -> ducked + for sibling in toks_by_children[head.token_id]: + sibling_id=sibling.token_id + sibling_tok=tokens[sibling_id] + if sibling_tok.deprel == "conj" and sibling_tok.pos == "VERB": + agents[coref].append({"w":sibling_tok.text, "i":sibling_tok.token_id}) + + # "Jack was hit by John and William" conj captured by check_conj above + elif tok.deprel == "pobj" and head.deprel == "agent": + # not root + if head.dephead != head.token_id: + grandparent=tokens[head.dephead] + if grandparent.pos.startswith("V"): + agents[coref].append({"w":grandparent.text, "i":grandparent.token_id}) + + + # patient ("He loved Bill and Ted" conj captured by check_conj above) + elif (tok.deprel == "dobj" or tok.deprel == "nsubjpass") and head.pos == "VERB": + patients[coref].append({"w":head.text, "i":head.token_id}) + + + # poss + + elif tok.deprel == "poss": + poss[coref].append({"w":head.text, "i":head.token_id}) + + # "her house and car", where car -> conj -> house + for sibling in toks_by_children[head.token_id]: + sibling_id=sibling.token_id + sibling_tok=tokens[sibling_id] + if sibling_tok.deprel == "conj": + poss[coref].append({"w":sibling_tok.text, "i":sibling_tok.token_id}) + + + data={} + data["characters"]=[] + + for coref, total_count in keys.most_common(): + + # must observe a character at least *twice* + + if total_count > 1: + chardata={} + chardata["agent"]=agents[coref] + chardata["patient"]=patients[coref] + chardata["mod"]=mods[coref] + chardata["poss"]=poss[coref] + chardata["id"]=coref + if coref in genders: + chardata["g"]=genders[coref] + else: + chardata["g"]=None + chardata["count"]=total_count + + mentions={} + + pnames=[] + for k,v in prop_mentions[coref].most_common(): + pnames.append({"c":v, "n":k}) + mentions["proper"]=pnames + + nnames=[] + for k,v in nom_mentions[coref].most_common(): + nnames.append({"c":v, "n":k}) + mentions["common"]=nnames + + prnames=[] + for k,v in pron_mentions[coref].most_common(): + prnames.append({"c":v, "n":k}) + mentions["pronoun"]=prnames + + chardata["mentions"]=mentions + + + data["characters"].append(chardata) + + return data + + + def normalize_character_name(self, name): + """ + Normalize character name to camelCase format without spaces or special characters + """ + import re + + # Remove special characters except spaces and apostrophes + name = re.sub(r"[^\w\s']", "", name) + + # Handle possessives (e.g., "Tom's" -> "Toms") + name = re.sub(r"'s\b", "s", name) + name = re.sub(r"'", "", name) + + # Split on whitespace and capitalize each word + words = name.split() + if not words: + return "UnknownCharacter" + + # First word capitalized, rest capitalized (camelCase) + normalized = words[0].capitalize() + for word in words[1:]: + normalized += word.capitalize() + + # Ensure it starts with a letter + if not normalized or not normalized[0].isalpha(): + normalized = "character" + normalized.capitalize() + + return normalized + + def infer_age_category_with_scores(self, character_data): + """ + Use semantic similarity to infer age category with confidence scores for all categories + """ + try: + from sentence_transformers import SentenceTransformer + if not hasattr(self, '_age_model'): + self._age_model = SentenceTransformer('all-MiniLM-L6-v2') + model = self._age_model + except ImportError: + print("Warning: sentence-transformers not installed. Age inference unavailable.") + return {"category": "unknown", "scores": {"child": 0.0, "teen": 0.0, "adult": 0.0, "elder": 0.0}} + except Exception as e: + print(f"Warning: Could not load sentence transformer model: {e}") + return {"category": "unknown", "scores": {"child": 0.0, "teen": 0.0, "adult": 0.0, "elder": 0.0}} + + age_prototypes = { + 'child': [ + "young child", "little kid", "small child", "baby", "toddler", + "young boy", "little girl", "infant", "youngster" + ], + 'teen': [ + "teenager", "adolescent", "young person", "teenage boy", + "teenage girl", "youth", "high school student" + ], + 'adult': [ + "adult man", "adult woman", "grown person", "mature person", + "middle-aged man", "middle-aged woman", "working adult" + ], + 'elder': [ + "elderly person", "old man", "old woman", "senior citizen", + "aged person", "grandfather", "grandmother", "elderly gentleman" + ] + } + + # Get descriptors + descriptors = [] + descriptors.extend([mod['w'] for mod in character_data.get('mod', [])]) + descriptors.extend([mention['n'] for mention in character_data.get('mentions', {}).get('common', [])]) + + if not descriptors: + return {"category": "unknown", "scores": {"child": 0.0, "teen": 0.0, "adult": 0.0, "elder": 0.0}} + + character_description = " ".join(descriptors) + + # Calculate similarities for ALL categories + category_scores = {} + best_category = "unknown" + best_score = 0.0 + + try: + for category, prototypes in age_prototypes.items(): + prototype_embeddings = model.encode(prototypes) + char_embedding = model.encode([character_description]) + + similarities = model.similarity(char_embedding, prototype_embeddings) + max_similarity = float(similarities.max()) + + category_scores[category] = round(max_similarity, 3) + + if max_similarity > best_score and max_similarity > 0.2: + best_score = max_similarity + best_category = category + + except Exception as e: + print(f"Warning: Error during age inference: {e}") + return {"category": "unknown", "scores": {"child": 0.0, "teen": 0.0, "adult": 0.0, "elder": 0.0}} + + return {"category": best_category, "scores": category_scores} + + def generate_character_json(self, entities, assignments, genders, chardata, outFolder, idd): + """ + Generate a JSON file with character information including TTS settings and age inference with scores + """ + + def map_gender_to_standard(gender_data): + """ + Map gender inference results to 'male', 'female', or 'unknown' based on highest score + """ + if gender_data is None: + return "unknown" + + # Get the inference scores + inference_scores = gender_data.get("inference", {}) + + # Map pronoun groups to standard genders + gender_mapping = { + "he/him/his": "male", + "she/her": "female", + # Ignore other categories like "they/them/their", "xe/xem/xyr", etc. + } + + # Find the highest scoring valid gender + max_score = 0.0 + best_gender = "unknown" + + for pronoun_group, score in inference_scores.items(): + if pronoun_group in gender_mapping and score > max_score: + max_score = score + best_gender = gender_mapping[pronoun_group] + + # Only return a gender if the confidence is reasonable (e.g., > 0.1) + if max_score > 0.1: + return best_gender + else: + return "unknown" + + # Get canonical names for characters + names = {} + for idx, (start, end, cat, text) in enumerate(entities): + coref = assignments[idx] + if coref not in names: + names[coref] = Counter() + ner_prop = cat.split("_")[0] + ner_type = cat.split("_")[1] + if ner_prop == "PROP": + names[coref][text.lower()] += 10 + elif ner_prop == "NOM": + names[coref][text.lower()] += 1 + else: + names[coref][text.lower()] += 0.001 + + # Get canonical name for each character ID + char_names = {} + for coref, name_counter in names.items(): + if name_counter: + char_names[coref] = name_counter.most_common(1)[0][0] + else: + char_names[coref] = f"character_{coref}" + + # Build character information + characters_info = [] + + # Add narrator first + narrator_char = { + "character_id": "Narrator", + "canonical_name": "Narrator", + "normalized_name": "Narrator", + "inferred_gender": "unknown", + "gender_scores": {}, + "inferred_age_category": "unknown", + "age_confidence_scores": {"child": 0.0, "teen": 0.0, "adult": 0.0, "elder": 0.0}, + "mention_count": 0, + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None + } + characters_info.append(narrator_char) + + # Add characters from chardata + for character in chardata["characters"]: + char_id = character["id"] + age_result = self.infer_age_category_with_scores(character) + canonical_name = char_names.get(char_id, f"character_{char_id}") + + # Map the gender to standard format + raw_gender_data = character.get("g", None) + standardized_gender = map_gender_to_standard(raw_gender_data) + + # Preserve the original gender scores + gender_scores = {} + if raw_gender_data and "inference" in raw_gender_data: + gender_scores = raw_gender_data["inference"] + + char_info = { + "character_id": char_id, + "canonical_name": canonical_name, + "normalized_name": self.normalize_character_name(canonical_name), + "inferred_gender": standardized_gender, + "gender_scores": gender_scores, + "inferred_age_category": age_result["category"], + "age_confidence_scores": age_result["scores"], + "mention_count": character["count"], + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None + } + characters_info.append(char_info) + + # Build the JSON structure + result = { + "metadata": { + "generated_by": "BookNLP", + "generated_at": "2025-07-18 05:43:37", + "generated_by_user": "DrewThomasson", + "document_id": idd, + "total_characters": len(characters_info) + }, + "characters": characters_info + } + + # Write JSON file + with open(join(outFolder, "%s.characters.json" % (idd)), "w", encoding="utf-8") as out: + json.dump(result, out, indent=2, ensure_ascii=False) + + return result + + + def generate_simplified_character_json(self, entities, assignments, genders, chardata, outFolder, idd): + """ + Generate a simplified JSON file with only essential character information for TTS + """ + + def map_gender_to_standard(gender_data): + """ + Map gender inference results to 'male', 'female', or 'unknown' based on highest score + """ + if gender_data is None: + return "unknown" + + # Get the inference scores + inference_scores = gender_data.get("inference", {}) + + # Map pronoun groups to standard genders + gender_mapping = { + "he/him/his": "male", + "she/her": "female", + # Ignore other categories like "they/them/their", "xe/xem/xyr", etc. + } + + # Find the highest scoring valid gender + max_score = 0.0 + best_gender = "unknown" + + for pronoun_group, score in inference_scores.items(): + if pronoun_group in gender_mapping and score > max_score: + max_score = score + best_gender = gender_mapping[pronoun_group] + + # Only return a gender if the confidence is reasonable (e.g., > 0.1) + if max_score > 0.1: + return best_gender + else: + return "unknown" + + # Get canonical names for characters + names = {} + for idx, (start, end, cat, text) in enumerate(entities): + coref = assignments[idx] + if coref not in names: + names[coref] = Counter() + ner_prop = cat.split("_")[0] + ner_type = cat.split("_")[1] + if ner_prop == "PROP": + names[coref][text.lower()] += 10 + elif ner_prop == "NOM": + names[coref][text.lower()] += 1 + else: + names[coref][text.lower()] += 0.001 + + # Get canonical name for each character ID + char_names = {} + for coref, name_counter in names.items(): + if name_counter: + char_names[coref] = name_counter.most_common(1)[0][0] + else: + char_names[coref] = f"character_{coref}" + + # Build simplified character information + characters_info = [] + + # Add narrator first + narrator_char = { + "normalized_name": "Narrator", + "inferred_gender": "unknown", + "inferred_age_category": "unknown", + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None + } + characters_info.append(narrator_char) + + # Add characters from chardata + for character in chardata["characters"]: + char_id = character["id"] + age_result = self.infer_age_category_with_scores(character) + canonical_name = char_names.get(char_id, f"character_{char_id}") + + # Map the gender to standard format + raw_gender_data = character.get("g", None) + standardized_gender = map_gender_to_standard(raw_gender_data) + + char_info = { + "normalized_name": self.normalize_character_name(canonical_name), + "inferred_gender": standardized_gender, + "inferred_age_category": age_result["category"], + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None + } + characters_info.append(char_info) + + # Build the simplified JSON structure + result = { + "characters": characters_info + } + + # Write simplified JSON file + with open(join(outFolder, "%s.characters_simple.json" % (idd)), "w", encoding="utf-8") as out: + json.dump(result, out, indent=2, ensure_ascii=False) + + return result + + + def fix_punctuation_spacing(self, text): + """ + Fix spacing around punctuation marks to follow standard English conventions + """ + import re + + # First pass - fix quotes more aggressively + # Remove ALL spaces immediately after opening quotes + text = re.sub(r'"\s+', '"', text) + text = re.sub(r"'\s+", "'", text) + + # Remove ALL spaces immediately before closing quotes + text = re.sub(r'\s+"', '"', text) + text = re.sub(r"\s+'", "'", text) + + # Remove spaces before common punctuation marks + text = re.sub(r'\s+([,.!?;:])', r'\1', text) + + # Remove spaces before closing quotes, parentheses, brackets + text = re.sub(r'\s+(["\'\)\]\}])', r'\1', text) + + # Fix contractions - remove spaces around apostrophes in contractions + text = re.sub(r'\s+\'\s*(\w+)', r"'\1", text) + text = re.sub(r'(\w+)\s+\'\s*(\w+)', r"\1'\2", text) + + # Handle possessives - remove space before 's + text = re.sub(r'(\w+)\s+\'\s*s\b', r"\1's", text) + + # Add space after punctuation if missing (but not before closing punctuation) + text = re.sub(r'([,.!?;:])([^\s"\'\)\]\}\n])', r'\1 \2', text) + + # Handle opening parentheses, brackets - remove space after + text = re.sub(r'([\(\[\{])\s+', r'\1', text) + + # Fix underscores (italics) - remove spaces around them but add space after closing underscore + text = re.sub(r'_(\w+)_(\w)', r'_\1_ \2', text) + + # Fix double spaces + text = re.sub(r'\s{2,}', ' ', text) + + return text.strip() + + def generate_book_with_character_tags(self, tokens, quotes, attributed_quotations, entities, assignments, genders, chardata, outFolder, idd): + """ + Generate a .book.txt file with character name tags surrounding each sentence + """ + + # Get canonical names for characters + names = {} + for idx, (start, end, cat, text) in enumerate(entities): + coref = assignments[idx] + if coref not in names: + names[coref] = Counter() + ner_prop = cat.split("_")[0] + ner_type = cat.split("_")[1] + if ner_prop == "PROP": + names[coref][text.lower()] += 10 + elif ner_prop == "NOM": + names[coref][text.lower()] += 1 + else: + names[coref][text.lower()] += 0.001 + + # Get canonical name for each character ID and create normalized versions + char_names = {} + normalized_char_names = {} + for coref, name_counter in names.items(): + if name_counter: + canonical_name = name_counter.most_common(1)[0][0].title() + char_names[coref] = canonical_name + normalized_char_names[coref] = self.normalize_character_name(canonical_name) + else: + char_names[coref] = f"Character{coref}" + normalized_char_names[coref] = f"character{coref}" + + # Add narrator to mappings + char_names["Narrator"] = "Narrator" + normalized_char_names["Narrator"] = "Narrator" + + # Create mapping of token ranges to quotes and speakers + quote_ranges = {} + for idx, (start, end) in enumerate(quotes): + mention_id = attributed_quotations[idx] + if mention_id is not None: + speaker_id = assignments[mention_id] + else: + speaker_id = "Narrator" + + for token_idx in range(start, end + 1): + quote_ranges[token_idx] = speaker_id + + # Group tokens by sentence + sentences = {} + for token in tokens: + sent_id = token.sentence_id + if sent_id not in sentences: + sentences[sent_id] = [] + sentences[sent_id].append(token) + + # Build the tagged text + result_lines = [] + + for sent_id in sorted(sentences.keys()): + sent_tokens = sentences[sent_id] + sent_text = " ".join([token.text for token in sent_tokens]) + + # Fix punctuation spacing + sent_text = self.fix_punctuation_spacing(sent_text) + + # Determine speaker for this sentence + # Check if any tokens in this sentence are part of quotes + speaker_ids_in_sentence = set() + + for token in sent_tokens: + if token.token_id in quote_ranges: + speaker_ids_in_sentence.add(quote_ranges[token.token_id]) + + # If exactly one speaker, use that speaker; otherwise default to narrator + if len(speaker_ids_in_sentence) == 1: + speaker_id = list(speaker_ids_in_sentence)[0] + else: + speaker_id = "Narrator" + + # Get the normalized name for the speaker (used in tags) + speaker_name = normalized_char_names.get(speaker_id, f"character{speaker_id}") + + # Format the sentence with character name tags using normalized names + tagged_sentence = f"[{speaker_name}] {sent_text} [/]" + result_lines.append(tagged_sentence) + + # Write the tagged text file + with open(join(outFolder, "%s.book.txt" % (idd)), "w", encoding="utf-8") as out: + out.write("\n".join(result_lines)) + + return result_lines + + + + def process(self, filename, outFolder, idd): + + with torch.no_grad(): + + start_time = time.time() + originalTime=start_time + + with open(filename, encoding='utf-8') as file: + data=file.read() + + if len(data) == 0: + print("Input file is empty: %s" % filename) + return + + try: + os.makedirs(outFolder) + except FileExistsError: + pass + + + tokens=self.tagger.tag(data) + + print("--- spacy: %.3f seconds ---" % (time.time() - start_time)) + start_time=time.time() + + if self.doEvent or self.doEntities or self.doSS: + + entity_vals=self.entityTagger.tag(tokens, doEvent=self.doEvent, doEntities=self.doEntities, doSS=self.doSS) + entity_vals["entities"]=sorted(entity_vals["entities"]) + if self.doSS: + supersense_entities=entity_vals["supersense"] + with open(join(outFolder, "%s.supersense" % (idd)), "w", encoding="utf-8") as out: + out.write("start_token\tend_token\tsupersense_category\ttext\n") + for start, end, cat, text in supersense_entities: + out.write("%s\t%s\t%s\t%s\n" % (start, end, cat, text)) + + if self.doEvent: + events=entity_vals["events"] + for token in tokens: + if token.token_id in events: + token.event="EVENT" + + with open(join(outFolder, "%s.tokens" % (idd)), "w", encoding="utf-8") as out: + out.write("%s\n" % '\t'.join(["paragraph_ID", "sentence_ID", "token_ID_within_sentence", "token_ID_within_document", "word", "lemma", "byte_onset", "byte_offset", "POS_tag", "fine_POS_tag", "dependency_relation", "syntactic_head_ID", "event"])) + for token in tokens: + out.write("%s\n" % token) + + print("--- entities: %.3f seconds ---" % (time.time() - start_time)) + start_time=time.time() + + in_quotes=[] + quotes=self.quoteTagger.tag(tokens) + + print("--- quotes: %.3f seconds ---" % (time.time() - start_time)) + start_time=time.time() + + if self.doQuoteAttrib: + + entities=entity_vals["entities"] + attributed_quotations=self.quote_attrib.tag(quotes, entities, tokens) + + print("--- attribution: %.3f seconds ---" % (time.time() - start_time)) + # return time.time() - start_time + start_time=time.time() + + if self.doEntities: + + entities=entity_vals["entities"] + + in_quotes=[] + + for start, end, cat, text in entities: + + if tokens[start].inQuote or tokens[end].inQuote: + in_quotes.append(1) + else: + in_quotes.append(0) + + + # Create entity for first-person narrator, if present + refs=self.name_resolver.cluster_narrator(entities, in_quotes, tokens) + + # Cluster non-PER PROP mentions that are identical + refs=self.name_resolver.cluster_identical_propers(entities, refs) + + # Cluster mentions of named people + refs=self.name_resolver.cluster_only_nouns(entities, refs, tokens) + + print("--- name coref: %.3f seconds ---" % (time.time() - start_time)) + + start_time=time.time() + + # Infer referential gender from he/she/they mentions around characters + + genderEM=GenderEM(tokens=tokens, entities=entities, refs=refs, genders=self.gender_cats, hyperparameterFile=self.gender_hyperparameterFile) + genders=genderEM.tag(entities, tokens, refs) + + assignments=None + if self.doEntities: + assignments=copy.deepcopy(refs) + + if self.doCoref: + torch.cuda.empty_cache() + assignments=self.litbank_coref.tag(tokens, entities, refs, genders, attributed_quotations, quotes) + + print("--- coref: %.3f seconds ---" % (time.time() - start_time)) + start_time=time.time() + + ent_names={} + for a, e in zip(assignments, entities): + if a not in ent_names: + ent_names[a]=Counter() + ent_names[a][e[3]]+=1 + + # Update gender estimates from coref data + genders=genderEM.update_gender_from_coref(genders, entities, assignments) + + chardata=self.get_syntax(tokens, entities, assignments, genders) + with open(join(outFolder, "%s.book" % (idd)), "w", encoding="utf-8") as out: + json.dump(chardata, out) + + if self.doEntities: + # Write entities and coref + with open(join(outFolder, "%s.entities" % (idd)), "w", encoding="utf-8") as out: + out.write("COREF\tstart_token\tend_token\tprop\tcat\ttext\n") + for idx, assignment in enumerate(assignments): + start, end, cat, text=entities[idx] + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + out.write("%s\t%s\t%s\t%s\t%s\t%s\n" % (assignment, start, end, ner_prop, ner_type, text)) + + + if self.doQuoteAttrib: + with open(join(outFolder, "%s.quotes" % (idd)), "w", encoding="utf-8") as out: + out.write('\t'.join(["quote_start", "quote_end", "mention_start", "mention_end", "mention_phrase", "char_id", "quote"]) + "\n") + + for idx, line in enumerate(attributed_quotations): + q_start, q_end=quotes[idx] + mention=attributed_quotations[idx] + if mention is not None: + entity=entities[mention] + speaker_id=assignments[mention] + e_start=entity[0] + e_end=entity[1] + cat=entity[3] + speak=speaker_id + else: + e_start=None + e_end=None + cat=None + speak=None + quote=[tok.text for tok in tokens[q_start:q_end+1]] + out.write("%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % (q_start, q_end, e_start, e_end, cat, speak, ' '.join(quote))) + + out.close() + + if self.doQuoteAttrib and self.doCoref: + + # get canonical name for character + names={} + for idx, (start, end, cat, text) in enumerate(entities): + coref=assignments[idx] + if coref not in names: + names[coref]=Counter() + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + if ner_prop == "PROP": + names[coref][text.lower()]+=10 + elif ner_prop == "NOM": + names[coref][text.lower()]+=1 + else: + names[coref][text.lower()]+=.001 + + # Generate character info JSON + print("--- generating character JSON: start ---") + char_start_time = time.time() + self.generate_character_json(entities, assignments, genders, chardata, outFolder, idd) + print("--- character JSON: %.3f seconds ---" % (time.time() - char_start_time)) + + # Generate simplified character info JSON + print("--- generating simplified character JSON: start ---") + simple_char_start_time = time.time() + self.generate_simplified_character_json(entities, assignments, genders, chardata, outFolder, idd) + print("--- simplified character JSON: %.3f seconds ---" % (time.time() - simple_char_start_time)) + + # Generate book with character tags + print("--- generating tagged book: start ---") + book_start_time = time.time() + self.generate_book_with_character_tags(tokens, quotes, attributed_quotations, + entities, assignments, genders, chardata, + outFolder, idd) + print("--- tagged book: %.3f seconds ---" % (time.time() - book_start_time)) + + with open(join(outFolder, "%s.book.html" % (idd)), "w", encoding="utf-8") as out: + out.write("") + out.write(""" + + """) + out.write("

Named characters

\n") + for character in chardata["characters"]: + char_id=character["id"] + + proper_names=character["mentions"]["proper"] + if len(proper_names) > 0 or char_id == 0: # 0=narrator + proper_name_list="/".join(["%s (%s)" % (name["n"], name["c"]) for name in proper_names]) + + common_names=character["mentions"]["common"] + common_name_list="/".join(["%s (%s)" % (name["n"], name["c"]) for name in common_names]) + + char_count=character["count"] + + if char_id == 0: + if len(proper_name_list) == 0: + proper_name_list="[NARRATOR]" + else: + proper_name_list+="/[NARRATOR]" + out.write("%s %s %s
\n" % (char_count, proper_name_list, common_name_list)) + + + out.write("

\n") + + out.write("

Major entities (proper, common)

") + + major_places={} + for prop in ["PROP", "NOM"]: + major_places[prop]={} + for cat in ["FAC", "GPE", "LOC", "PER", "ORG", "VEH"]: + major_places[prop][cat]={} + + for idx, (start, end, cat, text) in enumerate(entities): + coref=assignments[idx] + + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + if ner_prop != "PRON": + if coref not in major_places[ner_prop][ner_type]: + major_places[ner_prop][ner_type][coref]=Counter() + major_places[ner_prop][ner_type][coref][text]+=1 + + max_entities_to_display=10 + for cat in ["FAC", "GPE", "LOC", "PER", "ORG", "VEH"]: + out.write("

%s

" % cat) + for prop in ["PROP", "NOM"]: + freqs={} + for coref in major_places[prop][cat]: + freqs[coref]=sum(major_places[prop][cat][coref].values()) + + sorted_freqs=sorted(freqs.items(), key=lambda x: x[1], reverse=True) + for k,v in sorted_freqs[:max_entities_to_display]: + ent_names=[] + for name, count in major_places[prop][cat][k].most_common(): + ent_names.append("%s" % (name)) + out.write("%s %s
"% (v, '/'.join(ent_names))) + out.write("

") + + + + out.write("

Text

\n") + + + beforeToks=[""]*len(tokens) + afterToks=[""]*len(tokens) + + lastP=None + + for idx, (start, end, cat, text) in enumerate(entities): + coref=assignments[idx] + name=names[coref].most_common(1)[0][0] + beforeToks[start]+="[" + afterToks[end]="]%s-%s" % (coref, name) + afterToks[end] + + for idx, (start, end) in enumerate(quotes): + mention_id=attributed_quotations[idx] + if mention_id is not None: + speaker_id=assignments[mention_id] + name=names[speaker_id].most_common(1)[0][0] + else: + speaker_id="None" + name="None" + beforeToks[start]+="" + afterToks[end]+="[%s-%s]" % (speaker_id, name) + + for idx in range(len(tokens)): + if tokens[idx].paragraph_id != lastP: + out.write("

") + out.write("%s%s%s " % (beforeToks[idx], escape(tokens[idx].text), afterToks[idx])) + lastP=tokens[idx].paragraph_id + + + out.write("") + + print("--- TOTAL (excl. startup): %.3f seconds ---, %s words" % (time.time() - originalTime, len(tokens))) + return time.time() - originalTime \ No newline at end of file diff --git a/components/E2A-SML/booknlp/english/entity_tagger.py b/components/E2A-SML/booknlp/english/entity_tagger.py new file mode 100644 index 0000000..7e4fa8e --- /dev/null +++ b/components/E2A-SML/booknlp/english/entity_tagger.py @@ -0,0 +1,230 @@ +from booknlp.english.tagger import Tagger +import torch +import re +import booknlp.common.layered_reader as layered_reader +import booknlp.common.sequence_layered_reader as sequence_layered_reader +import pkg_resources +import os + +class LitBankEntityTagger: + def __init__(self, model_file, model_tagset): + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + self.tagset=sequence_layered_reader.read_tagset(model_tagset) + supersenseTagset = pkg_resources.resource_filename(__name__, "data/supersense.tagset") + + self.supersense_tagset=sequence_layered_reader.read_tagset(supersenseTagset) + base_model=re.sub("google_bert", "google/bert", os.path.basename(model_file)) + base_model=re.sub("\.model$", "", base_model) + + self.model = Tagger(freeze_bert=False, base_model=base_model, tagset_flat={"EVENT":1, "O":1}, supersense_tagset=self.supersense_tagset, tagset=self.tagset, device=device) + + self.model.to(device) + state_dict = torch.load(model_file, map_location=device) + # Filter out unexpected keys + state_dict = {k: v for k, v in state_dict.items() if not k.startswith('bert.embeddings.position_ids')} + self.model.load_state_dict(state_dict) + wnsFile = pkg_resources.resource_filename(__name__, "data/wordnet.first.sense") + self.wns=self.read_wn(wnsFile) + + def read_wn(self, filename): + wns={} + with open(filename) as file: + for line in file: + cols=line.rstrip().split("\t") + word=cols[0] + pos=cols[1] + wn=int(cols[2].split(" ")[0]) + wns["%s.%s" % (word, pos)]=wn + return wns + + def get_wn(self, supersense_batched_sents): + + + wn_batches=[] + + for idx, b_sent in enumerate(supersense_batched_sents): + + max_len=0 + for sent in b_sent: + if sent is not None: + if len(sent) > max_len: + max_len=len(sent) + + wn_senses=[] + + for sent in b_sent: + + wn=[] + if sent is None: + continue + + for word in sent: + + if word is None: + wn.append(0) + else: + + text=word.text + pos=word.pos + if pos == "NOUN": + pos="n" + elif pos == "VERB": + pos="v" + term=text.split(" ")[-1].lower() + key="%s.%s" % (term, pos) + if key in self.wns: + wn.append(self.wns[key]) + else: + wn.append(1) + + for val in range(len(sent), max_len): + wn.append(0) + wn_senses.append(wn) + + wn_senses=torch.LongTensor(wn_senses) + wn_batches.append(wn_senses) + return wn_batches + + def tag(self, toks, doEvent=True, doEntities=True, doSS=True): + + max_sentence_length=500 + + entities=[] + supersense_entities=[] + + batch_size=32 + + sents=[] + o_sents=[] + sent=[] + o_sent=[] + lastSid=None + + length=0 + + for tok in toks: + + wptok=tok.text + # working with uncased BERT models, so add a special tag to denote capitalization + if wptok[0].lower() != wptok[0]: + wptok="[CAP] " + wptok.lower() + + toks=self.model.tokenizer.tokenize(wptok) + if lastSid is not None and (tok.sentence_id != lastSid or length + len(toks) > max_sentence_length): + sents.append(sent) + o_sents.append(o_sent) + sent=[] + o_sent=[] + length=0 + + sent.append(toks) + o_sent.append(tok) + + lastSid=tok.sentence_id + length+=len(toks) + + sents.append(sent) + o_sents.append(o_sent) + + + sentences=[] + o_sentences=[] + + max_sentence_length=500 + + sentence=[ ["[CLS]"] ] + + o_sent=[] + + cur_length=0 + + for idx, sent in enumerate(sents): + + sent_len=0 + for toks in sent: + sent_len+=len(toks) + + if sent_len + cur_length >= max_sentence_length: + sentence.append(["[SEP]"]) + sentences.append(sentence) + o_sentences.append(o_sent) + sentence=[["[CLS]"]] + o_sent=[] + cur_length=0 + + cur_length+=sent_len + + sentence.extend(sent) + o_sent.extend(o_sents[idx]) + + + if len(sentence) > 1: + sentence.append(["[SEP]"]) + o_sentences.append(o_sent) + sentences.append(sentence) + + sents=o_sentences + + batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering, order_to_batch_map = layered_reader.get_batches(self.model, sentences, batch_size, self.tagset, training=False) + + batch_pos={} + for idx, ind in enumerate(ordering): + batch_id, batch_s, batch_position=order_to_batch_map[idx] + if batch_id not in batch_pos: + batch_pos[batch_id]=[None]*batch_s + batch_pos[batch_id][batch_position]=[None] + for tok in sents[ind]: + # print(tok) + batch_pos[batch_id][batch_position].append(tok) + batch_pos[batch_id][batch_position].append(None) + + batched_pos=[None]*len(batch_pos) + for i in range(len(batch_pos)): + batched_pos[i]=batch_pos[i] + + wn_batches=self.get_wn(batched_pos) + + preds_in_order, events_in_order, supersense_preds_in_order=self.model.tag_all(wn_batches, batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering, doEvent=doEvent, doEntities=doEntities, doSS=doSS) + + return_vals={} + + if doEntities: + for idx, preds in enumerate(preds_in_order): + for tmp, label, start, end in preds: + start_token=sents[idx][start].token_id + end_token=sents[idx][end-1].token_id + phrase=' '.join([x.text for x in sents[idx][start:end]]) + phraseEndToken=int(end_token) + if phraseEndToken == -2: + phraseEndToken=start_token + entities.append((start_token, phraseEndToken, label, phrase)) + return_vals["entities"]=entities + + if doSS: + for idx, preds in enumerate(supersense_preds_in_order): + for tmp, label, start, end in preds: + start_token=sents[idx][start].token_id + end_token=sents[idx][end-1].token_id + phrase=' '.join([x.text for x in sents[idx][start:end]]) + phraseEndToken=int(end_token) + if phraseEndToken == -2: + phraseEndToken=start_token + supersense_entities.append((start_token, phraseEndToken, label, phrase)) + return_vals["supersense"]=supersense_entities + + + if doEvent: + events={} + for idx, preds in enumerate(events_in_order): + + for start in preds: + start_token=sents[idx][start].token_id + phrase=sents[idx][start].text + events[start_token]=1 + return_vals["events"]=events + + return return_vals + + + diff --git a/components/E2A-SML/booknlp/english/gender_inference_model_1.py b/components/E2A-SML/booknlp/english/gender_inference_model_1.py new file mode 100644 index 0000000..13fe924 --- /dev/null +++ b/components/E2A-SML/booknlp/english/gender_inference_model_1.py @@ -0,0 +1,588 @@ + +""" +Code for inferring the referential gender of name-clustered characters (e.g., ELIZABETH BENNETT = {Elizabeth, Lizzy, Elizabeth Bennett}) and common NPs (e.g "the boy") solely from the gendered pronouns (he/his/him/she/her/they/them/ze/xe/etc.) that appear near them. This method uses the IBM model 1 EM alignment algorithm (originally used for MT) to align entities with pronoun tokens, starting from a prior that all entities are gender-neutral and then updating that belief based on their explanatory power for the pronouns that surround them. + +This method encodes several assumptions: + +* This method describes the referential gender of characters, and not their gender identity. Characters are described by the pronouns used to refer to them (e.g., he/him, she/her) rather than labels like "M/F". + +* Prior information on the alignment of names with referential gender (e.g., from government records or larger background datasets) can be used to provide some information to inform this process if desired (e.g., "Tom" is often associated with he/him in pre-1923 English texts), but should be updateable *in the context of a specific book* (e.g., "Tom" in the book "Tom and Some Other Girls", where Tom is aligned with she/her). + +* Users should be free to define the referential gender categories used here. The default is {he, him, his}, +{she, her} and {they, them, their}, but can be expanded to include categories such as {xe, xem, xyr, xir}, {ze, zem, zir, hir}, etc. + + +""" + + +# requires scipy==1.5.4 +from collections import Counter +import sys +from tqdm import tqdm +from os import listdir +from os.path import isfile +import os +from booknlp.common.pipelines import Token + +import random + +class GenderEM: + + def __init__(self, outfile=None, tokens=None, entities=None, entityFiles=None, tokenFiles=None, hyperparameterFile=None, distance=25, num_epochs=25, refs=None, upper=10, use_tagged_pronouns_only=True, genders=[["he", "him", "his"],["she", "her"], ["they", "them", "their"]] ): + + # Number of epochs for EM + self.num_epochs=num_epochs + + # Candidates entities must within this number of preceding tokens of pronouns + self.distance=distance + + # maximum pseudocount value (set lower to contrain how much influence priors have) + self.upper=upper + + self.honorifics={"mr.":1, "mrs.":1, "miss":1, "lady":1, "sir":1, "captain":1, "mr":1, "lord":1, "aunt":1, "madame":1, "mrs":1, "uncle":1, "colonel":1, "monsieur":1, "mademoiselle":1, "general":1, "major":1, "sergeant":1, "ms.":1, "king":1, "queen":1, "herr":1, "frau":1, "fräulein":1, "dame":1, "mister":1, "master":1, "mistress":1, "prince":1, "princess":1, "lieutenant":1 } + self.honorific_priors={} + self.use_tagged_pronouns_only=use_tagged_pronouns_only + self.genders=genders + + self.genderID={} + self.gender_pronouns={} + + self.num_genders=len(self.genders) + + for idx, gender in enumerate(self.genders): + self.genderID["/".join(gender)]=idx + for term in gender: + self.gender_pronouns[term]=idx + + self.reverseID={self.genderID[k]:k for k in self.genderID} + + + # f = he/she/they + # e = John, Kate, the man, her husband, his mother + + self.joint_e_f_counts={} + self.e_counts={} + + self.t_f_e={} + + self.hyperparameters={} + + if hyperparameterFile is not None: + self.read_hyperparams(hyperparameterFile) + + self.vocab={} + + if entityFiles is not None and tokenFiles is not None: + self.build_vocab_from_files(entityFiles, tokenFiles) + elif tokens is not None and entities is not None and refs is not None: + self.build_vocab(tokens, entities, refs) + + + self.add_hyperparameters_to_counts(refs=refs, entities=entities, tokens=tokens) + + self.maximization() + self.delete_counts() + + self.outfile=outfile + + + def add_hyperparameters_to_counts(self, refs=None, entities=None, tokens=None): + for e in self.vocab: + + mf=[1]*self.num_genders + + # add pseudocounts if we have them from the hyperparameters + if self.hyperparameters is not None and e in self.hyperparameters: + mf=self.hyperparameters[e] + + for f in range(self.num_genders): + self.joint_e_f_counts[e,f]=mf[f] + 0.1 + if e not in self.e_counts: + self.e_counts[e]=0 + self.e_counts[e]+=mf[f] + 0.1 + + + # for entities/coref IDs, update the coref ID to include priors on the names associated with that ID + # e.g. 17 -> Jane Bennett, Jane, etc. -- we want to include our priors on "Jane" within entity 17 + + counts={} + if refs is not None: + for idx, ref in enumerate(refs): + start, end, cat, text=entities[idx] + + prop=cat.split("_")[0] + cat=cat.split("_")[1] + + phraseHead=None + + if prop == "NOM": + phraseHead=self.get_head(start, end, tokens) + + if phraseHead is not None: + key="%s\t%s" % (tokens[phraseHead].text, prop) + else: + key="%s\t%s" % (text, prop) + + if ref != -1: + if ref not in counts: + counts[ref]=Counter() + counts[ref][key.lower()]+=1 + + for e in self.vocab: + mf=[0.]*self.num_genders + parts=e.split("\t") + if parts[1].lower() == "coref": + idd=int(parts[0]) + + if idd != -1: + + for text in counts[idd]: + + # add prior over entire name if present (e.g., "[Tom]") + for f in range(self.num_genders): + if (text,f) in self.joint_e_f_counts: + mf[f]=self.joint_e_f_counts[text,f] * counts[idd][text] + + if sum(mf) > self.upper: + for i in range(self.num_genders): + mf[i]=(mf[i]/sum(mf)) * self.upper + + for text in counts[idd]: + + # add prior over honorifics if present (e.g., "[mr.] sawyer") + first_name_token=text.split(" ")[0] + if first_name_token in self.honorific_priors: + for f in range(self.num_genders): + mf[f]=self.honorific_priors[first_name_token][f] * counts[idd][text] * 10000 + + + self.e_counts[e]=0 + for f in range(self.num_genders): + self.joint_e_f_counts[e,f]=mf[f] + 0.1 + self.e_counts[e]+=mf[f] + 0.1 + + def read_hyperparams(self, filename): + self.hyperparameters={} + with open(filename, encoding='utf-8') as file: + header=file.readline().rstrip() + gender_mapping={} + for idx, val in enumerate(header.split("\t")[2:]): + if val in self.genderID: + gender_mapping[self.genderID[val]]=idx+2 + + else: + print("NOTE PRIOR CATEGORY %s NOT AMONG GENDERS" % val) + + for line in file: + cols=line.rstrip().split("\t") + term=cols[0] + proper=cols[1] + + vals=[0]*(self.num_genders) + for val in gender_mapping: + vals[val]=float(cols[gender_mapping[val]]) + + first_token=term.split(" ")[0] + if first_token in self.honorifics: + if first_token not in self.honorific_priors: + self.honorific_priors[first_token]=[0]*self.num_genders + + for i in range(self.num_genders): + self.honorific_priors[first_token][i]+=vals[i] + + total=sum(vals) + if total >= self.upper: + for i in range(len(vals)): + vals[i]=(vals[i]/total) * self.upper + + self.hyperparameters[("%s\t%s" % (term, proper)).lower()]=vals + + for honorific in self.honorific_priors: + total=sum(self.honorific_priors[honorific]) + if total >= self.upper: + for i in range(self.num_genders): + self.honorific_priors[honorific][i]=(self.honorific_priors[honorific][i]/total) * self.upper + + def get_head(self, start, end, tokens): + phraseHead=None + for idd in range(start, end+1): + head=tokens[idd].dephead + if head < start or head > end: + phraseHead=idd + return phraseHead + + def build_vocab(self, tokens, entities, refs=None): + + + for term in self.hyperparameters: + self.vocab[term]=1 + + for idx, (start, end, cat, text) in enumerate(entities): + + prop=cat.split("_")[0] + cat=cat.split("_")[1] + + if cat == "PER": + + if refs is not None and refs[idx] != -1: + key="%s\t%s" % (refs[idx], "COREF") + + else: + + phraseHead=None + + if prop == "NOM": + phraseHead=self.get_head(start, end, tokens) + + if phraseHead is not None: + key="%s\t%s" % (tokens[phraseHead].text, prop) + else: + key="%s\t%s" % (text, prop) + + + self.vocab[key.lower()]=1 + + + def build_vocab_from_files(self, entityFiles, tokenFiles): + + + for term in self.hyperparameters: + self.vocab[term]=1 + + for idx in tqdm(range(len(entityFiles))): + + entities=self.read_entities(entityFiles[idx]) + tokens=self.read_tokens(tokenFiles[idx]) + + self.build_vocab(tokens, entities) + + + + def tagFromFile(self, entityFiles, tokenFiles): + + all_X=[] + all_Y=[] + + for idx in tqdm(range(len(entityFiles))): + + entities=self.read_entities(entityFiles[idx]) + tokens=self.read_tokens(tokenFiles[idx]) + + X, Y=self.process(tokens, entities) + all_X.append(X) + all_Y.append(Y) + + + for epoch in range(self.num_epochs): + + for i in tqdm(range(len(all_X))): + for e, f in zip(all_X[i], all_Y[i]): + self.update(e,f) + + self.maximization() + self.print(epoch) + self.delete_counts() + self.add_hyperparameters_to_counts() + + + def tag(self, entities, tokens, refs, minThreshold=0): + + X, Y=self.process(tokens, entities, refs) + + for epoch in range(self.num_epochs): + + for e, f in zip(X, Y): + self.update(e,f) + + self.maximization() + if epoch < self.num_epochs-1: + self.delete_counts() + self.add_hyperparameters_to_counts(refs=refs, entities=entities, tokens=tokens) + + + genders={} + for e, f in self.t_f_e: + if f == 1: + + vals={} + total=0 + for i in range(self.num_genders): + vals[self.reverseID[i]] = self.joint_e_f_counts[e,i] + total+=vals[self.reverseID[i]] + + if total > 0: + for val in vals: + vals[val]=float("%.3f" % (vals[val]/total)) + + maxID=None + maxVal=0 + for val in vals: + if vals[val] > maxVal: + maxVal=vals[val] + maxID=val + + cat=e.split("\t")[1] + if cat == "coref": + idd=int(e.split("\t")[0]) + genders[idd]={"inference":vals, "argmax":maxID, "max":maxVal, "total":float("%.3f" % total)} + + return genders + + def print(self, epoch): + with open("%s.%s" % (self.outfile, epoch), "w", encoding="utf-8") as out: + valstr=[] + for gender in self.genders: + valstr.append('/'.join(gender)) + + out.write("%s\t%s\t%s\n" % ("term", "proper", '\t'.join(valstr))) + + for e, f in self.t_f_e: + if f == 1: + vals=[0]*self.num_genders + for i in range(self.num_genders): + vals[i] = self.joint_e_f_counts[e,i] + + out.write("%s\t%s\n" % (e, '\t'.join(["%.3f" % x for x in vals]))) + + + # get all entities in a window *before* a target pronoun + def get_mentions(self, loc_starts, idx): + + mentions=[] + + for i in range(1,self.distance): + j=idx-i + if j in loc_starts: + for end, comp, text in loc_starts[j]: + # skip entities that enclose the pronoun + if end < idx: + mentions.append((j, end, comp, text)) + + return mentions + + + def update(self, e_seq, f_seq): + + for i, f in enumerate(f_seq): + total=0 + for j, e in enumerate(e_seq): + total+=self.t_f_e[e, f] + for j, e in enumerate(e_seq): + delta_k_i_j=self.t_f_e[e, f] / total + + self.joint_e_f_counts[e,f]+=delta_k_i_j + self.e_counts[e]+=delta_k_i_j + + + def maximization(self, delete_counts=True): + + for (e,f) in self.joint_e_f_counts: + + if self.e_counts[e] > 0: + self.t_f_e[e,f]=self.joint_e_f_counts[e,f]/self.e_counts[e] + else: + self.t_f_e[e,f]=0 + + parts=e.split("\t") + + def delete_counts(self): + for (e,f) in self.joint_e_f_counts: + self.joint_e_f_counts[e,f]=0 + + for e in self.e_counts: + self.e_counts[e]=0 + + + def process(self, toks, entities, refs=None): + + # organize the token start positions for each entity so we can find them faster + loc_starts={} + + tagged_pronouns=[] + + for idx, (start, end, cat, text) in enumerate(entities): + prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + + if ner_type == "PER": + + if text.lower() in self.gender_pronouns: + tagged_pronouns.append(start) + + # if this mention is already coreferent (e.g., through name clustering), use that coref ID instead + if refs is not None and refs[idx] != -1: + key="%s\t%s" % (refs[idx], "COREF") + + else: + phraseHead=None + + if prop == "NOM": + phraseHead=self.get_head(start, end, toks) + + if phraseHead is not None: + key="%s\t%s" % (toks[phraseHead].text, prop) + else: + key="%s\t%s" % (text, prop) + + + if start not in loc_starts: + loc_starts[start]=[] + + loc_starts[start].append((end, idx, key)) + + X=[] + Y=[] + + # for each gendered pronoun in the text, identify all entity/common NP mentions in a window around it + if self.use_tagged_pronouns_only: + for idx in tagged_pronouns: + tok=toks[idx].text + mentions=self.get_mentions(loc_starts, idx) + mention_refs=[] + for start, end, loc_idx, text in mentions: + mention_refs.append(text.lower()) + + if len(mention_refs) > 0: + X.append(mention_refs) + gender=self.gender_pronouns[tok.lower()] + Y.append([gender]) + + else: + for idx, tokenObject in enumerate(toks): + tok=tokenObject.text + if tok.lower() in self.gender_pronouns: + + mentions=self.get_mentions(loc_starts, idx) + mention_refs=[] + for start, end, loc_idx, text in mentions: + mention_refs.append(text.lower()) + + if len(mention_refs) > 0: + X.append(mention_refs) + gender=self.gender_pronouns[tok.lower()] + Y.append([gender]) + + + return X, Y + + + + + def read_tokens(self, tokenFile): + toks=[] + with open(tokenFile) as file: + for line in file: + cols=line.rstrip().split("\t") + + paragraph_id=int(cols[0]) + sentence_id=int(cols[1]) + index_within_sentence_idx=int(cols[2]) + token_id=int(cols[3]) + text=cols[4] + lemma=cols[5] + startByte=int(cols[6]) + pos=cols[8] + deprel=cols[9] + dephead=int(cols[10]) + ner=None + + tok=Token(paragraph_id, sentence_id, index_within_sentence_idx, token_id, text, pos, None, lemma, deprel, dephead, ner, startByte) + + toks.append(tok) + + return toks + + + def read_entities(self, entityFile): + + entities=[] + + with open(entityFile) as file: + + for line in file: + cols=line.rstrip().split("\t") + start=int(cols[0]) + end=int(cols[1]) + prop=cols[2] + cat=cols[3] + cat="%s_%s" % (prop, cat) + text=cols[4] + + entities.append((start, end, cat, text)) + + return entities + + + def update_gender_from_coref(self, genders, entities, corefs): + + counts={} + + for idx, (start, end, cat, text) in enumerate(entities): + coref=corefs[idx] + if coref not in counts: + counts[coref]={} + + for gc in self.genders: + for term in gc: + if text.lower() == term: + key='/'.join(gc) + if key not in counts[coref]: + counts[coref][key]=0 + + counts[coref][key]+=1 + + for c in counts: + if c not in genders: + + + total=0 + maxg=None + maxv=0 + for key in counts[c]: + total+=counts[c][key] + if counts[c][key] > maxv: + maxv=counts[c][key] + maxg=key + + if total == 0: + continue + + genders[c]={} + genders[c]["inference"]={} + for i in range(self.num_genders): + genders[c]["inference"][self.reverseID[i]] = 0 + + for key in counts[c]: + genders[c]["inference"][key]=counts[c][key]/total + + if total >0: + genders[c]["argmax"]=maxg + genders[c]["max"]=maxv/total + genders[c]["total"]=total + + + return genders + +if __name__ == "__main__": + + top=sys.argv[1] + outfile=sys.argv[2] + hyperparams=None + if len(sys.argv) > 3: + hyperparams=sys.argv[3] + onlyfiles = [f for f in listdir(top)] + num=len(onlyfiles) + + ent_files=[] + tok_files=[] + for idd in (onlyfiles[:num]): + entitiyFile=os.path.join(top, idd, "%s.entities" % idd) + tokensFile=os.path.join(top, idd, "%s.tokens" % idd) + if isfile(entityFile) and isfile(tokensFile): + ent_files.append(entityFile) + tok_files.append(tokensFile) + + genders=[ ["he", "him", "his"], ["she", "her"], ["they", "them", "their"] ] + genderEM=GenderEM(outfile=outfile, entityFiles=ent_files, tokenFiles=tok_files, hyperparameterFile=hyperparams, genders=genders) + genderEM.tagFromFile(ent_files, tok_files) + diff --git a/components/E2A-SML/booknlp/english/litbank_coref.py b/components/E2A-SML/booknlp/english/litbank_coref.py new file mode 100644 index 0000000..fb50b11 --- /dev/null +++ b/components/E2A-SML/booknlp/english/litbank_coref.py @@ -0,0 +1,188 @@ +import torch, sys, re +import os + +from booknlp.english.bert_coref_quote_pronouns import BERTCorefTagger +import numpy as np +from booknlp.common.pipelines import Entity +from booknlp.english.name_coref import NameCoref +import pkg_resources + +class LitBankCoref: + + def __init__(self, modelFile, gender_cats, pronominalCorefOnly=True): + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + + base_model=re.sub("google_bert", "google/bert", os.path.basename(modelFile)) + base_model=re.sub("\.model$", "", base_model) + + self.model = BERTCorefTagger(gender_cats=gender_cats, freeze_bert=True, base_model=base_model, pronominalCorefOnly=pronominalCorefOnly) + state_dict = torch.load(modelFile, map_location=device) + # Filter out unexpected keys + state_dict = {k: v for k, v in state_dict.items() if not k.startswith('bert.embeddings.position_ids')} + self.model.load_state_dict(state_dict) + self.model.to(device) + self.model.eval() + + + def tag(self, tokens, g_ents, refs, ref_gender, attributed_quotations, quotes): + sentences, ents, max_words, max_ents=self.convert_data(tokens, g_ents) + assignments,global_entities=self.test(sentences, ents, max_words, max_ents, refs, ref_gender, attributed_quotations, quotes) + return assignments + + + def test(self, test_doc, test_ents, max_words, max_ents, refs, ref_gender, attributed_quotations, quotes): + + global_entities=[] + for ents in test_ents: + global_entities.extend(ents) + + for ent in global_entities: + if ent.in_quote: + for idx, (q_start, q_end) in enumerate(quotes): + if ent.global_start >= q_start and ent.global_start <= q_end: + ent.quote_mention=attributed_quotations[idx] + + test_matrix, test_index, test_token_positions, test_ent_spans, test_starts, test_ends, test_widths, test_data, test_masks, test_transforms, test_quotes=self.model.get_data(test_doc, test_ents, max_ents, max_words) + + assignments=self.model.forward(test_matrix, test_index, existing=refs, token_positions=test_token_positions, starts=test_starts, ends=test_ends, widths=test_widths, input_ids=test_data, attention_mask=test_masks, transforms=test_transforms, ref_genders=ref_gender, entities=global_entities) + + aliasFile = pkg_resources.resource_filename(__name__, "data/aliases.txt") + + nameCoref=NameCoref(aliasFile) + + e_list=[] + for ent in global_entities: + e_list.append((ent.global_start, ent.global_end, "%s_%s" % (ent.proper, ent.ner_cat), ent.text)) + + assignments=nameCoref.cluster_noms(e_list, assignments) + + for ass in assignments: + if ass == -1: + print(assignments) + sys.exit(1) + + return assignments, global_entities + + def convert_data(self, tokens, entities): + + max_words=0 + max_ents=0 + + sents=[] + o_sents=[] + sent=[] + o_sent=[] + lastSid=None + max_sentence_length=500 + length=0 + mapper={} + + for tok in tokens: + + wptok=tok.text + if wptok[0].lower() != wptok[0]: + wptok="[CAP] " + wptok.lower() + + toks=self.model.tokenizer.tokenize(wptok) + if lastSid is not None and (tok.sentence_id != lastSid or length + len(toks) > max_sentence_length): + sents.append(sent) + o_sents.append(o_sent) + sent=[] + o_sent=[] + length=0 + + sent.append(toks) + o_sent.append(tok) + + lastSid=tok.sentence_id + length+=len(toks) + + sents.append(sent) + o_sents.append(o_sent) + + sentences=[] + o_sentences=[] + + max_sentence_length=500 + + sentence=[ "[CLS]" ] + ents=[] + o_sent=[] + + running_length=0 + + for idx, sent in enumerate(sents): + + length=0 + for toks in sent: + length+=len(toks) + + if length + running_length >= max_sentence_length: + sentence.append("[SEP]") + sentences.append(sentence) + ents.append([]) + o_sentences.append(o_sent) + running_length=1 + sentence=["[CLS]"] + o_sent=[] + + running_length+=length + + for word in o_sents[idx]: + mapper[word.token_id]=len(sentences), len(sentence) + + wptok=word.text + if wptok[0].lower() != wptok[0]: + wptok="[CAP] " + wptok.lower() + + sentence.append(wptok) + + o_sent.extend(o_sents[idx]) + + + if len(sentence) > 1: + sentence.append("[SEP]") + ents.append([]) + o_sentences.append(o_sent) + sentences.append(sentence) + + sents=o_sentences + + lastS=-1 + + entities=sorted(entities) + + for (start, end, cat, text) in entities: + sent_id, w_in_sent_id_start=mapper[tokens[start].token_id] + e_sent_id, w_in_sent_id_end=mapper[tokens[end].token_id] + + # if sent_id != e_sent_id: + # print(sent_id,e_sent_id, "crossing sentence boundaries!" ) + # if sent_id < lastS: + # print(sent_id, lastS, "non-monotonic!") + + lastS=sent_id + + inQuote=0 + if tokens[start].inQuote or tokens[end].inQuote: + inQuote=1 + + + ent=Entity(w_in_sent_id_start, w_in_sent_id_end, in_quote=inQuote, quote_eid=None, entity_id=None, text=text) + ner_parts=cat.split("_") + ent.ner_cat=ner_parts[1] + ent.proper=ner_parts[0] + ent.global_start=start + ent.global_end=end + + ents[sent_id].append(ent) + + + + max_words=max(len(sentence) for sentence in sentences) + max_ents=max(len(ent) for ent in ents) + + return sentences, ents, max_words, max_ents + + diff --git a/components/E2A-SML/booknlp/english/litbank_quote.py b/components/E2A-SML/booknlp/english/litbank_quote.py new file mode 100644 index 0000000..f2246bc --- /dev/null +++ b/components/E2A-SML/booknlp/english/litbank_quote.py @@ -0,0 +1,86 @@ +import re +from collections import Counter + +class QuoteTagger: + + def tag(self, toks): + + predictions = [] + currentQuote = [] + curStartTok = None + lastPar = None + + quote_symbols = Counter() + + # Count all possible quote types including French guillemets + for tok in toks: + if tok.text in ["“", "”", "\""]: + quote_symbols["DOUBLE_QUOTE"] += 1 + elif tok.text in ["‘", "’", "'"]: + quote_symbols["SINGLE_QUOTE"] += 1 + elif tok.text in ["«", "»"]: + quote_symbols["GUILLEMET"] += 1 + elif tok.text == "—": + quote_symbols["DASH"] += 1 + + quote_symbol = "DOUBLE_QUOTE" + if len(quote_symbols) > 0: + quote_symbol = quote_symbols.most_common()[0][0] + + # Helper function to check if a token matches the chosen quote symbol + def is_quote_symbol(token_text, symbol): + if symbol == "DOUBLE_QUOTE": + return token_text in ["“", "”", "\""] + elif symbol == "SINGLE_QUOTE": + return token_text in ["‘", "’", "'"] + elif symbol == "GUILLEMET": + return token_text in ["«", "»"] + elif symbol == "DASH": + return token_text == "—" + return False + + for tok in toks: + w = tok.text + + # Normalize quote symbol for this token + for w_idx, w_char in enumerate(w): + if w_char in ["“", "”", "\""]: + w = "DOUBLE_QUOTE" + elif w_char in ["‘", "’", "'"]: + if w_idx == 0: + suff = w[w_idx+1:] + if suff not in ["s", "d", "ll", "ve"]: + w = "SINGLE_QUOTE" + elif w_char in ["«", "»"]: + w = "GUILLEMET" + elif w_char == "—": + w = "DASH" + + # start over at each new paragraph + if tok.paragraph_id != lastPar and lastPar is not None: + if len(currentQuote) > 0: + predictions.append((curStartTok, tok.token_id-1)) + curStartTok = None + currentQuote = [] + + # Detect start or end of quote + if is_quote_symbol(tok.text, quote_symbol): + if curStartTok is not None: + if len(currentQuote) > 0: + predictions.append((curStartTok, tok.token_id)) + currentQuote.append(tok.text) + curStartTok = None + currentQuote = [] + else: + curStartTok = tok.token_id + + if curStartTok is not None: + currentQuote.append(tok.text) + + lastPar = tok.paragraph_id + + for start, end in predictions: + for i in range(start, end+1): + toks[i].inQuote = True + + return predictions \ No newline at end of file diff --git a/components/E2A-SML/booknlp/english/name_coref.py b/components/E2A-SML/booknlp/english/name_coref.py new file mode 100644 index 0000000..4b36009 --- /dev/null +++ b/components/E2A-SML/booknlp/english/name_coref.py @@ -0,0 +1,449 @@ +""" +This code performs name clustering on PROP PER mentions, grouping together different proper names only that refer to the same individual +e.g., Tom, Tom Saywer, Mr. Tom Sawyer, Mr. Sawyer -> TOM SAYWER + +""" + +from collections import Counter +import sys +import itertools +import pkg_resources + +class NameCoref: + + def __init__(self, aliasFile): + self.honorifics={"mr":1, "mr.":1, "mrs":1, "mrs.":1, "miss":1, "uncle":1, "aunt":1, "lady":1, "lord":1, "monsieur":1, "master":1, "mistress":1} + self.aliases={} + with open(aliasFile) as file: + for line in file: + cols=line.rstrip().split("\t") + canonical=cols[0] + nicknames=cols[1:] + for nickname in nicknames: + + if nickname.lower() not in self.aliases: + self.aliases[nickname.lower()]={} + self.aliases[nickname.lower()][canonical.lower()]=1 + + def get_variants(self, parts): + variants={} + for i in range(len(parts)): + if parts[i].lower() not in self.honorifics: + variants[parts[i]]=1 + + for j in range(i+1, len(parts)): + variants["%s %s" % (parts[i], parts[j])]=1 + + for k in range(j+1, len(parts)): + variants["%s %s %s" % (parts[i], parts[j], parts[k])]=1 + + for l in range(k+1, len(parts)): + variants["%s %s %s %s" % (parts[i], parts[j], parts[k], parts[l])]=1 + + for m in range(l+1, len(parts)): + variants["%s %s %s %s %s" % (parts[i], parts[j], parts[k], parts[l], parts[m])]=1 + + for n in range(m+1, len(parts)): + variants["%s %s %s %s %s %s" % (parts[i], parts[j], parts[k], parts[l], parts[m], parts[n])]=1 + + for o in range(n+1, len(parts)): + variants["%s %s %s %s %s %s %s" % (parts[i], parts[j], parts[k], parts[l], parts[m], parts[n], parts[o])]=1 + + + + return variants + + def get_canonical(self, name_tokens): + + """ + Given a alias dictionary that maps aliases (nicknames, alternative names) to a "canonical" version + of the name, return all possible canonical versions of the input + + Alias dictionary: + + Em -> Emily + Em -> Emma + The Great Bambino -> Babe Ruth + + + Input -> Output + + Em -> [["Emily"], ["Emma"]] + Em Smith -> [["Emily", "Smith"], ["Emma", "Smith"]] + The Great Bambino -> [["Babe", "Ruth"]] + + """ + + # first, if a name is a complete match for an alias, just return the canonicals for the alias + # Em -> ["Emily", "Emma"] + # The Great Bambino -> ["Babe Ruth"] + name=' '.join(name_tokens).lower() + if name in self.aliases: + vals=[] + for can in self.aliases[name]: + vals.append(can.split(" ")) + return vals + + # next, check if any individual part of a name is an alias + # Em Smith -> ["Emily Smith", "Emma Smith"] + parts=[] + for tok in name_tokens: + if tok.lower() in self.aliases: + parts.append(list(self.aliases[tok.lower()])) + else: + parts.append([tok]) + canonicals=[] + + canonicals=[] + for i in itertools.product(*parts): + canonicals.append(list(i)) + + return canonicals + + def name_cluster(self, entities, is_named, existing_refs): + + """ + Get counts of all unique names (to be used for disambiguation later) + """ + + uniq=Counter() + for i, val in enumerate(is_named): + if val == 1: + + # only consider names with fewer than 10 tokens + # (longer are likely errors and significantly slow down processing) + if len(entities[i]) < 10: + name=' '.join(entities[i]).lower() + if name != "": + uniq[name]+=1 + + + """ + + Remove names that are complete subsets of others + + e.g., if uniq = ["Em Smith", "Em", "Emma Smith", "Tom", "Tom Sawyer"], then remove "Em", "Em Smith" and "Tom". + * "Tom" is a subset of "Tom Sawyer" + * "Em" -> "Emma" and "Emily", and "Emma" is a subset of "Emma Smith" + * "Em Smith" -> "Emma Smith" + """ + + subsets={} + for name1 in uniq: + canonicals1=self.get_canonical(name1.split(" ")) + for canonical1 in canonicals1: + name1set=set(canonical1) + for name2 in uniq: + + if name1 == name2: + continue + + canonicals=self.get_canonical(name2.split(" ")) + for canonical in canonicals: + + name2set=set(canonical) + + if ' '.join(name1set) == ' '.join(name2set): + continue + + if name1set.issuperset(name2set): + subsets[name2]=1 + + name_subpart_index={} + + """ + + Now map each possible ordered sub-permutation of a canonical name (from length 1 to n) to its canonical version. + + e.g. the canonical name "David Foster Wallace" -> + "David Foster Wallace", "David Wallace", "Foster Wallace", "David Foster", "Foster Wallace", "David", "Foster", "Wallace" + + So if we see any of those phrases as names, we know they could refer to the entity "David Foster Wallace" + + This excludes honorifics like "Mr." and "Mrs." from being their own (unigram) variant, but they can appear in other permutations + + e.g. "Mr. Tom Sawyer" -> + "Mr. Tom Sawyer", "Mr. Tom", "Mr. Sawyer", "Tom Sawyer", "Tom", "Sawyer" + + """ + + for ni, name in enumerate(uniq): + if name in subsets: + continue + + canonicals=self.get_canonical(name.split(" ")) + for canonical in canonicals: + variants=self.get_variants(canonical) + + for v in variants: + if v not in name_subpart_index: + name_subpart_index[v]={} + + name_subpart_index[v][name]=1 + + + """ + + Now let's assign each name *mention* to its entity. + + Starting from the first entity to last, we'll look up the possible entities that the canonical version of + this mention can be a variant of and assign it to the entity that has the highest score. + + The score for an entity is initialized as the mention count of the maximal name + ("David Foster Wallace" or "Mr. Tom Sawyer" above), but is primarily driven by recency (with the score + mainly being the location of the last assigned mention of that entity) + + """ + + charids={} + max_id=1 + + if len(existing_refs) > 0: + max_id=max(existing_refs)+1 + + lastSeen={} + refs=[] + for i, val in enumerate(is_named): + + if existing_refs[i] != -1: + refs.append(existing_refs[i]) + continue + + if val == 1: + + canonicals=self.get_canonical(entities[i]) + name=' '.join(entities[i]).lower() + + top=None + max_score=0 + + for canonical in canonicals: + canonical_name=' '.join(canonical).lower() + + if canonical_name in name_subpart_index: + for entity in name_subpart_index[canonical_name]: + score=uniq[entity] + if entity in lastSeen: + score+=lastSeen[entity] + if score > max_score: + max_score=score + top=entity + + if top is not None: + lastSeen[top]=i + + if top not in charids: + charids[top]=max_id + max_id+=1 + refs.append(charids[top]) + + # this happens if the name is too long (longer than 7 words) + else: + refs.append(-1) + else: + refs.append(-1) + return refs + + def calc_overlap(self, small, big): + + overlap=0 + for name in small: + if name in big: + overlap+=small[name] + + return overlap/sum(small.values()) + + def read_file(self, spanFile): + + entities=[] + is_named=[] + with open(spanFile) as file: + for line in file: + cols=line.rstrip().split("\t") + + cat=cols[2].split("_")[1] + prop=cols[2].split("_")[0] + if prop != "PROP": + continue + text=cols[0].split(" ") + lemma=cols[1] + entity_pos=cols[3].split(" ") + if cat == "PER": + name_filt_pos=[] + for pidx, pos in enumerate(entity_pos): + if pos == "NOUN" or pos == "PROPN": + name_filt_pos.append(text[pidx]) + + entities.append(name_filt_pos) + is_named.append(1) + + return entities, is_named + + def process(self, spanFile): + + entities, is_named=read_file(spanFile) + cluster(entities, is_named) + + def cluster_identical_propers(self, entities, refs): + + """ Assign all mentions that are identical to the same entity (used in combination with only performing + pronominal coreference resolution) """ + + max_id=1 + if len(refs) > 0: + max_id=max(refs)+1 + + names={} + + for idx, (s, e, full_cat, name) in enumerate(entities): + prop=full_cat.split("_")[0] + cat=full_cat.split("_")[1] + + if prop == "PROP" and cat != "PER": + n=name.lower() + key="%s_%s_%s" % (n, prop, cat) + if key not in names: + names[key]=max_id + max_id+=1 + refs[idx]=names[key] + + return refs + + + def cluster_noms(self, entities, refs): + + """ Assign all nominal mentions that are identical to the same entity (used in combination with only performing + pronominal coreference resolution) """ + + names={} + mapper={} + + for idx, (s, e, cat, name) in enumerate(entities): + prop=cat.split("_")[0] + if prop == "NOM": + n=name.lower() + if n not in names: + names[n]=refs[idx] + else: + mapper[refs[idx]]=names[n] + + + for idx, ref in enumerate(refs): + if ref in mapper: + refs[idx]=mapper[ref] + + return refs + + + + def cluster_narrator(self, entities, in_quotes, tokens): + + """ Create an entity for the first-person narrator from all mentiosn of "I", "me", "my" and "myself" outside of quotes """ + + narrator_pronouns=set(["i", "me", "my", "myself"]) + refs=[] + for idx, (s, e, _, name) in enumerate(entities): + if in_quotes[idx] == 0 and name.lower() in narrator_pronouns: + refs.append(0) + # window=25 + # start=max(0, s-window) + # end=min(e+25, len(tokens)) + # context=[tok.text for tok in tokens[start:end]] + # print("narrator\t\t", name, ' '.join(context)) + else: + refs.append(-1) + return refs + + def cluster_only_nouns(self, entities, refs, tokens): + + hon_mapper={"mister":"mr.", "mr.":"mr.", "mr":"mr.", "mistah":"mr.", "mastah":"mr.", "master":"mr.", + "miss":"miss", "ms.": "miss", "ms":"miss","missus":"miss","mistress":"miss", + "mrs.":"mrs.", "mrs":"mrs." + } + + def map_honorifics(term): + term=term.lower() + if term in hon_mapper: + return hon_mapper[term] + return None + + is_named=[] + entity_names=[] + + for start, end, cat, text in entities: + ner_prop=cat.split("_")[0] + ner_type=cat.split("_")[1] + if ner_prop == "PROP" and ner_type == "PER": + is_named.append(1) + else: + is_named.append(0) + + new_text=[] + for i in range(start,end+1): + hon_mapped=map_honorifics(tokens[i].text) + + if (hon_mapped is not None or (tokens[i].pos == "NOUN" or tokens[i].pos == "PROPN")) and tokens[i].text.lower()[0] != tokens[i].text[0]: + val=tokens[i].text + if hon_mapped is not None: + val=hon_mapped + new_text.append(val) + + if len(new_text) > 0: + entity_names.append(new_text) + else: + entity_names.append(text.split(" ")) + + return self.cluster(entity_names, is_named, refs) + + def cluster(self, entities, is_named, refs): + + refs=self.name_cluster(entities, is_named, refs) + clusters={} + + for i, val in enumerate(refs): + ref=refs[i] + if ref not in clusters: + clusters[ref]=Counter() + clusters[ref][' '.join(entities[i])]+=1 + + # if two clusters have significant overlap in mention phrases, merge them into one + for ref in clusters: + for ref2 in clusters: + if ref == ref2 or clusters[ref] is None or clusters[ref2] is None or ref == -1 or ref2 == -1 or ref == 0 or ref2 == 0: + continue + + # find which cluster is bigger and should contain the other + sum1=sum(clusters[ref].values()) + sum2=sum(clusters[ref2].values()) + + big=ref + small=ref2 + if sum2 > sum1: + big=ref2 + small=ref + + sim=self.calc_overlap(clusters[small], clusters[big]) + if sim > 0.9: + + for k,v in clusters[small].most_common(): + clusters[big][k]+=v + + for idx, r in enumerate(refs): + if r == small: + refs[idx]=big + + clusters[small]=None + + counts=Counter() + for ref in clusters: + if clusters[ref] is not None: + counts[ref]=sum(clusters[ref].values()) + + return refs + +if __name__ == "__main__": + + aliasFile = pkg_resources.resource_filename(__name__, "data/aliases.txt") + resolver=NameCoref(aliasFile) + resolver.process(sys.argv[1]) + diff --git a/components/E2A-SML/booknlp/english/speaker_attribution.py b/components/E2A-SML/booknlp/english/speaker_attribution.py new file mode 100644 index 0000000..428fc42 --- /dev/null +++ b/components/E2A-SML/booknlp/english/speaker_attribution.py @@ -0,0 +1,245 @@ +import sys +import re +import random +from random import shuffle +from math import sqrt, exp, isnan +from transformers import BertTokenizer, BertModel +import torch.nn as nn +import torch +import numpy as np +import argparse +import json +from booknlp.common.b3 import b3 + +from collections import Counter + +PINK = '\033[95m' +ENDC = '\033[0m' + +device = torch.device("cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu") + + +class BERTSpeakerID(nn.Module): + + def __init__(self, base_model=None): + super().__init__() + + modelName=base_model + modelName=re.sub("^speaker_", "", modelName) + modelName=re.sub(r"-v\d.*$", "", modelName) + matcher=re.search(r".*-(\d+)_H-(\d+)_A-.*", modelName) + bert_dim=0 + modelSize=0 + self.num_layers=0 + if matcher is not None: + bert_dim=int(matcher.group(2)) + self.num_layers=min(4, int(matcher.group(1))) + + modelSize=self.num_layers*bert_dim + + assert bert_dim != 0 + + self.tokenizer = BertTokenizer.from_pretrained(modelName, do_lower_case=False, do_basic_tokenize=False) + self.tokenizer.add_tokens(["[QUOTE]", "[ALTQUOTE]", "[PAR]", "[CAP]"], special_tokens=True) + self.bert = BertModel.from_pretrained(modelName) + self.bert.resize_token_embeddings(len(self.tokenizer)) + self.bert.to(device) + + self.tanh = nn.Tanh() + self.fc = nn.Linear(2*bert_dim, 100) + self.fc2 = nn.Linear(100, 1) + + # Move all components to device + self.tanh.to(device) + self.fc.to(device) + self.fc2.to(device) + + def get_wp_position_for_all_tokens(self, words, doLowerCase=True): + + wps=[] + + # start with 1 for the inital [CLS] token + cur=1 + for idx, word in enumerate(words): + if word == "[ALTQUOTE]" or word == "[PAR]" or word == "[QUOTE]": + word=word + + elif doLowerCase: + if word[0].lower() != word[0]: + word="[CAP] " + word.lower() + else: + word=word.lower() + + target=self.tokenizer.tokenize(word) + wps.append((cur, cur+len(target))) + cur+=len(target) + + return wps + + + def get_batches(self, all_x, all_m, batch_size=32, doLowerCase=True): + + batches_o=[] + batches_x=[] + batches_y=[] + batches_m=[] + + for i in range(0, len(all_x), batch_size): + + current_batch_input_ids=[] + current_batch_attention_mask=[] + current_batch_matrix_cands=[] + current_batch_matrix_quote=[] + current_batch_y=[] + current_batch_eid=[] + current_quote_eids=[] + + xb=all_x[i:i+batch_size] + mb=all_m[i:i+batch_size] + for s, sent in enumerate(xb): + + sent_wp_tokens=[self.tokenizer.convert_tokens_to_ids("[CLS]")] + attention_mask=[1] + + for word in sent: + if word == "[ALTQUOTE]" or word == "[PAR]" or word == "[QUOTE]": + word=word + + elif doLowerCase: + if word[0].lower() != word[0]: + word="[CAP] " + word.lower() + else: + word=word.lower() + + toks = self.tokenizer.tokenize(word) + toks = self.tokenizer.convert_tokens_to_ids(toks) + sent_wp_tokens.extend(toks) + attention_mask.extend([1]*len(toks)) + sent_wp_tokens.append(self.tokenizer.convert_tokens_to_ids("[SEP]")) + attention_mask.append(1) + + current_batch_input_ids.append(sent_wp_tokens) + current_batch_attention_mask.append(attention_mask) + + max_len = max([len(s) for s in current_batch_input_ids]) + + for j, sent in enumerate(current_batch_input_ids): + for k in range(len(current_batch_input_ids[j]), max_len): + current_batch_input_ids[j].append(0) + current_batch_attention_mask[j].append(0) + + for j, (eid, cands, quote) in enumerate(mb): + + + wps_all=self.get_wp_position_for_all_tokens(xb[j]) + + current_quote_eids.append(eid) + + e1_start_wp, e1_end_wp=wps_all[quote] + matrix_cands=np.zeros((10,max_len)) + matrix_quote=np.zeros((10,max_len)) + + for l in range(10): + for k in range(e1_start_wp, e1_end_wp): + matrix_quote[l][k]=1./(e1_end_wp-e1_start_wp) + + y=[] + eids=[] + for c_idx, (start, end, truth, cand_eid) in enumerate(cands): + + e2_start_wp, _=wps_all[start] + _, e2_end_wp=wps_all[end-1] + + for k in range(e2_start_wp, e2_end_wp): + matrix_cands[c_idx][k]=1./(e2_end_wp-e2_start_wp) + + y.append(truth) + eids.append(cand_eid) + + for l in range(len(y), 10): + y.append(0) + eids.append(None) + + current_batch_matrix_cands.append(matrix_cands) + current_batch_matrix_quote.append(matrix_quote) + current_batch_y.append(y) + current_batch_eid.append(eids) + + + batches_o.append((xb, mb)) + batches_x.append({"toks": torch.LongTensor(current_batch_input_ids).to(device), "mask":torch.LongTensor(current_batch_attention_mask).to(device)}) + batches_m.append({"cands":torch.FloatTensor(np.array(current_batch_matrix_cands)).to(device), "quote":torch.FloatTensor(np.array(current_batch_matrix_quote)).to(device)}) + batches_y.append({"y":torch.LongTensor(current_batch_y).to(device), "eid":current_batch_eid, "quote_eids":current_quote_eids}) + + return batches_x, batches_m, batches_y, batches_o + + + def forward(self, batch_x, batch_m): + + _, pooled_outputs, sequence_outputs = self.bert(batch_x["toks"], token_type_ids=None, attention_mask=batch_x["mask"], output_hidden_states=True, return_dict=False) + + out=sequence_outputs[-1] + batch_size, _, bert_size=out.shape + + combined_cands=torch.matmul(batch_m["cands"],out) + combined_quote=torch.matmul(batch_m["quote"],out) + + combined=torch.cat((combined_cands, combined_quote), axis=2) + + preds = self.fc(combined) + preds=self.tanh(preds) + preds = self.fc2(preds) + + return preds + + + def evaluate(self, dev_x_batches, dev_m_batches, dev_y_batches, dev_o_batches, epoch): + + self.eval() + + cor=0. + tot=0. + nones=0 + + gold_eids={} + pred_eids={} + + with torch.no_grad(): + + idd=0 + for x1, m1, y1, o1 in zip(dev_x_batches, dev_m_batches, dev_y_batches, dev_o_batches): + y_pred = self.forward(x1, m1) + + orig, meta=o1 + predictions=torch.argmax(y_pred, axis=1).detach().cpu().numpy() + for idx, pred in enumerate(predictions): + + sent=orig[idx] + + gold_eids[idd]=y1["quote_eids"][idx] + + predval=y1["eid"][idx][pred[0]] + if predval is None: + predval="none-%s" % (idd) + + pred_eids[idd]=predval + val=y1["y"][idx][pred[0]] + + if pred[0] < len(meta[idx][1]): + ent_start, ent_end, lab, ent_eid=meta[idx][1][pred[0]] + + if epoch == "test": + print("epoch %s" % epoch, ' '.join(sent[:ent_start]), PINK, ' '.join(sent[ent_start:ent_end]), "(%s)" % int(val.detach().cpu().numpy()), ENDC, ' '.join(sent[ent_end:])) + + if val == 1: + cor+=1 + tot+=1 + + idd+=1 + + precision, recall, F=b3(gold_eids, pred_eids) + print("Nones: %s" % nones) + print("Epoch %s, Quote F1: %.3f\tP: %.3f, R: %.3f" % (epoch, F, precision, recall)) + print("Epoch %s, accuracy: %.3f" % (epoch, cor/tot)) + + return F, cor/tot \ No newline at end of file diff --git a/components/E2A-SML/booknlp/english/tagger.py b/components/E2A-SML/booknlp/english/tagger.py new file mode 100644 index 0000000..b5e2135 --- /dev/null +++ b/components/E2A-SML/booknlp/english/tagger.py @@ -0,0 +1,1133 @@ +import sys +import re +import math +from transformers import BertTokenizer, BertModel + +import torch.nn as nn +import torch.nn.functional as F +import torch +import numpy as np +import booknlp.common.crf as crf +import booknlp.common.sequence_eval as sequence_eval +from torch.nn import CrossEntropyLoss + +class Tagger(nn.Module): + + def __init__(self, freeze_bert=False, base_model=None, tagset=None, supersense_tagset=None, tagset_flat=None, hidden_dim=100, flat_hidden_dim=200, device=None): + super(Tagger, self).__init__() + + modelName=base_model + modelName=re.sub("^entities_", "", modelName) + modelName=re.sub("-v\d.*$", "", modelName) + matcher=re.search(".*-(\d+)_H-(\d+)_A-.*", modelName) + bert_dim=0 + modelSize=0 + self.num_layers=0 + if matcher is not None: + bert_dim=int(matcher.group(2)) + self.num_layers=min(4, int(matcher.group(1))) + + modelSize=self.num_layers*bert_dim + + assert bert_dim != 0 + + self.tagset=tagset + self.tagset_flat=tagset_flat + + self.device=device + self.crf=crf.CRF(len(self.tagset), device) + + self.wn_embedding = nn.Embedding(50, 20) + + self.rev_tagset={tagset[v]:v for v in tagset} + self.rev_tagset[len(tagset)]="O" + self.rev_tagset[len(tagset)+1]="O" + + self.num_labels=len(tagset) + 2 + + self.supersense_tagset=supersense_tagset + self.num_supersense_labels=len(supersense_tagset) + 2 + self.supersense_crf=crf.CRF(len(supersense_tagset), device) + + self.rev_supersense_tagset={supersense_tagset[v]:v for v in supersense_tagset} + self.rev_supersense_tagset[len(supersense_tagset)]="O" + self.rev_supersense_tagset[len(supersense_tagset)+1]="O" + + self.num_labels_flat=len(tagset_flat) + + self.tokenizer = BertTokenizer.from_pretrained(modelName, do_lower_case=False, do_basic_tokenize=False) + self.bert = BertModel.from_pretrained(modelName) + + self.tokenizer.add_tokens(["[CAP]"], special_tokens=True) + self.bert.resize_token_embeddings(len(self.tokenizer)) + + self.bert.eval() + + if freeze_bert: + for param in self.bert.parameters(): + param.requires_grad = False + + self.hidden_dim = hidden_dim + + self.layered_dropout = nn.Dropout(0.20) + + self.supersense_lstm1 = nn.LSTM(modelSize + 20, hidden_dim, bidirectional=True, batch_first=True) + self.supersense_hidden2tag1 = nn.Linear(hidden_dim * 2, self.num_supersense_labels) + + self.lstm1 = nn.LSTM(modelSize, hidden_dim, bidirectional=True, batch_first=True) + self.hidden2tag1 = nn.Linear(hidden_dim * 2, self.num_labels) + + self.lstm2 = nn.LSTM(2*hidden_dim, hidden_dim, bidirectional=True, batch_first=True) + self.hidden2tag2 = nn.Linear(hidden_dim * 2, self.num_labels) + + self.lstm3 = nn.LSTM(2*hidden_dim, hidden_dim, bidirectional=True, batch_first=True) + self.hidden2tag3 = nn.Linear(hidden_dim * 2, self.num_labels) + + self.flat_dropout = nn.Dropout(0.5) + + self.flat_hidden_dim=flat_hidden_dim + self.flat_lstm = nn.LSTM(modelSize, self.flat_hidden_dim, bidirectional=True, batch_first=True, num_layers=1) + + self.flat_classifier = nn.Linear(2*self.flat_hidden_dim, self.num_labels_flat) + + param_group = [] + + self.bert_params={} + self.everything_else_params={} + + def forwardFlatSequence(self, input_ids, token_type_ids=None, attention_mask=None, transforms=None, labels=None): + + batch_s, max_len=input_ids.shape + + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + if labels is not None: + labels = labels.to(self.device) + + output = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True) + hidden_states=output["hidden_states"] + + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + out=torch.matmul(transforms,all_layers) + + out, _ = self.flat_lstm(out) + + out=self.flat_dropout(out) + + out = out.contiguous().view(-1,out.shape[2]) + + logits = self.flat_classifier(out) + + if labels is not None: + + loss_fct = CrossEntropyLoss(ignore_index=-100) + loss = loss_fct(logits.view(-1, self.num_labels_flat), labels.view(-1)) + return loss + + else: + return logits + + def forward_supersense(self, wn, input_ids, matrix1, matrix2, attention_mask=None, transforms=None, labels=None, lens=None): + + matrix1=matrix1.to(self.device) + matrix2=matrix2.to(self.device) + wn=wn.to(self.device) + + wn_embeds=self.wn_embedding(wn) + + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + if lens is not None: + lens[0] = lens[0].to(self.device) + lens[1] = lens[1].to(self.device) + lens[2] = lens[2].to(self.device) + + if labels is not None: + labels[0] = labels[0].to(self.device) + labels[1] = labels[1].to(self.device) + labels[2] = labels[2].to(self.device) + + output = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True) + hidden_states=output["hidden_states"] + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + # remove the opening [CLS] + reduced=torch.matmul(transforms,all_layers)[:,1:,:] + + wn_embeds=wn_embeds[:,1:,:] + + reduced=torch.cat([reduced, wn_embeds], axis=2) + + reduced=self.layered_dropout(reduced) + + lstm_out1, _ = self.supersense_lstm1(reduced) + tag_space1 = self.supersense_hidden2tag1(lstm_out1) + + to_value=0 + + forward_score1 = self.supersense_crf.forward(tag_space1, lens[0]-2) + sequence_score1 = self.supersense_crf.score(torch.where(labels[0][:,1:] == -100, torch.ones_like(labels[0][:,1:]) * to_value, labels[0][:,1:]), lens[0]-2, logits=tag_space1) + loss1 = (forward_score1 - sequence_score1).sum() + + return loss1 + + def forward(self, input_ids, matrix1, matrix2, attention_mask=None, transforms=None, labels=None, lens=None): + + matrix1=matrix1.to(self.device) + matrix2=matrix2.to(self.device) + + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + if lens is not None: + lens[0] = lens[0].to(self.device) + lens[1] = lens[1].to(self.device) + lens[2] = lens[2].to(self.device) + + if labels is not None: + labels[0] = labels[0].to(self.device) + labels[1] = labels[1].to(self.device) + labels[2] = labels[2].to(self.device) + + output = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True) + hidden_states=output["hidden_states"] + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + # remove the opening [CLS] + reduced=torch.matmul(transforms,all_layers)[:,1:,:] + + reduced=self.layered_dropout(reduced) + + lstm_out1, _ = self.lstm1(reduced) + tag_space1 = self.hidden2tag1(lstm_out1) + + input2=torch.matmul(matrix1[:,1:,1:],lstm_out1) + + input2=self.layered_dropout(input2) + + lstm_out2, _ = self.lstm2(input2) + tag_space2 = self.hidden2tag2(lstm_out2) + + input3=torch.matmul(matrix2[:,1:,1:],lstm_out2) + + input3=self.layered_dropout(input3) + + lstm_out3, _ = self.lstm3(input3) + tag_space3 = self.hidden2tag3(lstm_out3) + + to_value=0 + + forward_score1 = self.crf.forward(tag_space1, lens[0]-2) + sequence_score1 = self.crf.score(torch.where(labels[0][:,1:] == -100, torch.ones_like(labels[0][:,1:]) * to_value, labels[0][:,1:]), lens[0]-2, logits=tag_space1) + loss1 = (forward_score1 - sequence_score1).sum() + + forward_score2 = self.crf.forward(tag_space2, lens[1]-2) + sequence_score2 = self.crf.score(torch.where(labels[1][:,1:] == -100, torch.ones_like(labels[1][:,1:]) * to_value, labels[1][:,1:]), lens[1]-2, logits=tag_space2) + loss2 = (forward_score2 - sequence_score2).sum() + + forward_score3 = self.crf.forward(tag_space3, lens[2]-2) + sequence_score3 = self.crf.score(torch.where(labels[2][:,1:] == -100, torch.ones_like(labels[2][:,1:]) * to_value, labels[2][:,1:]), lens[2]-2, logits=tag_space3) + loss3 = (forward_score3 - sequence_score3).sum() + + return loss1 + loss2 + loss3 + + def predict_all(self, wn, input_ids, attention_mask=None, transforms=None, lens=None, doEvent=True, doEntities=True, doSS=True): + + def fix(sequence): + + """ + Ensure tag sequence is BIO-compliant + + """ + for idx, tag in enumerate(sequence): + tag=self.rev_tagset[tag] + if tag.startswith("I-"): + parts=tag.split("-") + label=parts[1] + flag=False + for i in range(idx-1, -1, -1): + prev=self.rev_tagset[sequence[i]].split("-") + + if prev[0] == "B" and prev[1] == label: + flag=True + break + + if prev[0] == "O": + break + + if prev[0] != "O" and prev[1] != label: + break + + if flag==False: + sequence[idx]=self.tagset["B-%s" % label] + + + def get_layer_transformation(tag_space, t): + + """ + After predicting a tag sequence, get the information we need to transform the current layer + to the next layer (e.g., merging tokens in the same entity and remembering which ones we merged) + + """ + + nl=tag_space.shape[1] + + all_tags=[] + for tags in t: + all_tags.append(list(tags.data.cpu().numpy())) + + # matrix for merging tokens in layer n+1 that are part of the same entity in layer n + all_index=[] + # indices of tokens that were merged (so we can restored them later) + all_missing=[] + # length of the resulting layer (after merging) + all_lens=[] + + for tags1 in all_tags: + fix(tags1) + index1=self.get_index([tags1], self.rev_tagset)[0] + for z in range(len(index1)): + for y in range(len(index1[z]), nl): + index1[z].append(0) + for z in range(len(index1), nl): + index1.append(np.zeros(nl)) + + all_index.append(index1) + + missing1=[] + nll=0 + for idx, tag in enumerate(tags1): + if idx > 0 and self.rev_tagset[tag].startswith("I-"): + missing1.append(idx) + else: + nll+=1 + + all_lens.append(nll) + all_missing.append(missing1) + + all_index=torch.FloatTensor(np.array(all_index)).to(self.device) + + return all_tags, all_index, all_missing, all_lens + + def supersense_fix(sequence): + + """ + Ensure tag sequence is BIO-compliant + + """ + for idx, tag in enumerate(sequence): + tag=self.rev_supersense_tagset[tag] + if tag.startswith("I-"): + parts=tag.split("-") + label=parts[1] + flag=False + for i in range(idx-1, -1, -1): + prev=self.rev_supersense_tagset[sequence[i]].split("-") + + if prev[0] == "B" and prev[1] == label: + flag=True + break + + if prev[0] == "O": + break + + if prev[0] != "O" and prev[1] != label: + break + + if flag==False: + sequence[idx]=self.supersense_tagset["B-%s" % label] + + + def get_supersense_layer_transformation(tag_space, t): + + """ + After predicting a tag sequence, get the information we need to transform the current layer + to the next layer (e.g., merging tokens in the same entity and remembering which ones we merged) + + """ + + nl=tag_space.shape[1] + + all_tags=[] + for tags in t: + all_tags.append(list(tags.data.cpu().numpy())) + + # matrix for merging tokens in layer n+1 that are part of the same entity in layer n + all_index=[] + # indices of tokens that were merged (so we can restored them later) + all_missing=[] + # length of the resulting layer (after merging) + all_lens=[] + + for tags1 in all_tags: + supersense_fix(tags1) + index1=self.get_index([tags1], self.rev_supersense_tagset)[0] + for z in range(len(index1)): + for y in range(len(index1[z]), nl): + index1[z].append(0) + for z in range(len(index1), nl): + index1.append(np.zeros(nl)) + + all_index.append(index1) + + missing1=[] + nll=0 + for idx, tag in enumerate(tags1): + if idx > 0 and self.rev_supersense_tagset[tag].startswith("I-"): + missing1.append(idx) + else: + nll+=1 + + all_lens.append(nll) + all_missing.append(missing1) + + all_index=torch.FloatTensor(np.array(all_index)).to(self.device) + + return all_tags, all_index, all_missing, all_lens + + + all_tags1=all_tags2=all_tags3=event_logits=all_supersense_tags1=None + + + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + ll=lens.to(self.device) + + sequence_outputs, pooled_outputs, hidden_states = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True, return_dict=False) + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + # remove the opening [CLS] + reduced=torch.matmul(transforms,all_layers)[:,1:,:] + + ## + # ENTITIES + ## + + if doEntities: + + ## LAYER 1 + + lstm_out1, _ = self.lstm1(reduced) + tag_space1 = self.hidden2tag1(lstm_out1) + + _, t1 = self.crf.viterbi_decode(tag_space1, ll-2) + + all_tags1, all_index1, all_missing1, n_lens1=get_layer_transformation(tag_space1, t1) + + input2=torch.matmul(all_index1,lstm_out1) + + ## LAYER 2 + + lstm_out2, _ = self.lstm2(input2) + tag_space2 = self.hidden2tag2(lstm_out2) + + _, t2 = self.crf.viterbi_decode(tag_space2, torch.LongTensor(n_lens1) ) + + all_tags2, all_index2, all_missing2, n_lens2=get_layer_transformation(tag_space2, t2) + + input3=torch.matmul(all_index2,lstm_out2) + + ## LAYER 3 + + lstm_out3, _ = self.lstm3(input3) + tag_space3 = self.hidden2tag3(lstm_out3) + + _, t3 = self.crf.viterbi_decode(tag_space3, torch.LongTensor(n_lens2)) + + all_tags3=[] + for tags in t3: + all_tags3.append(list(tags.data.cpu().numpy())) + + for tags3 in all_tags3: + fix(tags3) + + ## Insert tokens into later layers that were compressed in earlier layers + + for idx, missing2 in enumerate(all_missing2): + for m in missing2: + parts=self.rev_tagset[all_tags3[idx][m-1]].split("-") + if len(parts) > 1: + all_tags3[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags3[idx].insert(m, self.tagset["O"]) + + for idx, missing1 in enumerate(all_missing1): + for m in missing1: + parts=self.rev_tagset[all_tags3[idx][m-1]].split("-") + if len(parts) > 1: + all_tags3[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags3[idx].insert(m, self.tagset["O"]) + + for idx, missing1 in enumerate(all_missing1): + for m in missing1: + parts=self.rev_tagset[all_tags2[idx][m-1]].split("-") + if len(parts) > 1: + all_tags2[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags2[idx].insert(m, self.tagset["O"]) + + for idx in range(len(all_tags1)): + all_tags2[idx]=all_tags2[idx][:len(all_tags1[idx])] + all_tags3[idx]=all_tags3[idx][:len(all_tags1[idx])] + + + ### + # EVENTS + ### + + if doEvent: + out, _ = self.flat_lstm(reduced) + out = out.contiguous().view(-1,out.shape[2]) + event_logits = self.flat_classifier(out) + + + ## + # SUPERSENSE + ## + + if doSS: + wn=wn.to(self.device) + wn_embeds=self.wn_embedding(wn) + wn_embeds=wn_embeds[:,1:,:] + reduced_wn=torch.cat([reduced, wn_embeds], axis=2) + + lstm_out1, _ = self.supersense_lstm1(reduced_wn) + tag_space1 = self.supersense_hidden2tag1(lstm_out1) + + _, t1 = self.supersense_crf.viterbi_decode(tag_space1, ll-2) + + all_supersense_tags1, all_index1, all_missing1, n_lens1=get_supersense_layer_transformation(tag_space1, t1) + + + return all_tags1, all_tags2, all_tags3, event_logits, all_supersense_tags1 + + + def predict(self, input_ids, attention_mask=None, transforms=None, lens=None): + + def fix(sequence): + + """ + Ensure tag sequence is BIO-compliant + + """ + for idx, tag in enumerate(sequence): + tag=self.rev_tagset[tag] + if tag.startswith("I-"): + parts=tag.split("-") + label=parts[1] + flag=False + for i in range(idx-1, -1, -1): + prev=self.rev_tagset[sequence[i]].split("-") + + if prev[0] == "B" and prev[1] == label: + flag=True + break + + if prev[0] == "O": + break + + if prev[0] != "O" and prev[1] != label: + break + + if flag==False: + sequence[idx]=self.tagset["B-%s" % label] + + + def get_layer_transformation(tag_space, t): + + """ + After predicting a tag sequence, get the information we need to transform the current layer + to the next layer (e.g., merging tokens in the same entity and remembering which ones we merged) + + """ + + nl=tag_space.shape[1] + + all_tags=[] + for tags in t: + all_tags.append(list(tags.data.cpu().numpy())) + + # matrix for merging tokens in layer n+1 that are part of the same entity in layer n + all_index=[] + # indices of tokens that were merged (so we can restored them later) + all_missing=[] + # length of the resulting layer (after merging) + all_lens=[] + + for tags1 in all_tags: + fix(tags1) + index1=self.get_index([tags1], self.rev_tagset)[0] + for z in range(len(index1)): + for y in range(len(index1[z]), nl): + index1[z].append(0) + for z in range(len(index1), nl): + index1.append(np.zeros(nl)) + + all_index.append(index1) + + missing1=[] + nll=0 + for idx, tag in enumerate(tags1): + if idx > 0 and self.rev_tagset[tag].startswith("I-"): + missing1.append(idx) + else: + nll+=1 + + all_lens.append(nll) + all_missing.append(missing1) + + all_index=torch.FloatTensor(all_index).to(self.device) + + return all_tags, all_index, all_missing, all_lens + + ## PREDICT + + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + ll=lens.to(self.device) + + sequence_outputs, pooled_outputs, hidden_states = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True, return_dict=False) + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + # remove the opening [CLS] + reduced=torch.matmul(transforms,all_layers)[:,1:,:] + + ## LAYER 1 + + lstm_out1, _ = self.lstm1(reduced) + tag_space1 = self.hidden2tag1(lstm_out1) + + _, t1 = self.crf.viterbi_decode(tag_space1, ll-2) + + all_tags1, all_index1, all_missing1, n_lens1=get_layer_transformation(tag_space1, t1) + + input2=torch.matmul(all_index1,lstm_out1) + + ## LAYER 2 + + lstm_out2, _ = self.lstm2(input2) + tag_space2 = self.hidden2tag2(lstm_out2) + + _, t2 = self.crf.viterbi_decode(tag_space2, torch.LongTensor(n_lens1) ) + + all_tags2, all_index2, all_missing2, n_lens2=get_layer_transformation(tag_space2, t2) + + input3=torch.matmul(all_index2,lstm_out2) + + ## LAYER 3 + + lstm_out3, _ = self.lstm3(input3) + tag_space3 = self.hidden2tag3(lstm_out3) + + _, t3 = self.crf.viterbi_decode(tag_space3, torch.LongTensor(n_lens2)) + + all_tags3=[] + for tags in t3: + all_tags3.append(list(tags.data.cpu().numpy())) + + for tags3 in all_tags3: + fix(tags3) + + ## Insert tokens into later layers that were compressed in earlier layers + + for idx, missing2 in enumerate(all_missing2): + for m in missing2: + parts=self.rev_tagset[all_tags3[idx][m-1]].split("-") + if len(parts) > 1: + all_tags3[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags3[idx].insert(m, self.tagset["O"]) + + for idx, missing1 in enumerate(all_missing1): + for m in missing1: + parts=self.rev_tagset[all_tags3[idx][m-1]].split("-") + if len(parts) > 1: + all_tags3[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags3[idx].insert(m, self.tagset["O"]) + + for idx, missing1 in enumerate(all_missing1): + for m in missing1: + parts=self.rev_tagset[all_tags2[idx][m-1]].split("-") + if len(parts) > 1: + all_tags2[idx].insert(m, self.tagset["I-%s" % parts[1]]) + else: + all_tags2[idx].insert(m, self.tagset["O"]) + + for idx in range(len(all_tags1)): + all_tags2[idx]=all_tags2[idx][:len(all_tags1[idx])] + all_tags3[idx]=all_tags3[idx][:len(all_tags1[idx])] + + return all_tags1, all_tags2, all_tags3 + + + def supersense_predict(self, wn, input_ids, attention_mask=None, transforms=None, lens=None): + + """ Get logits for layered sequence labeling """ + + def supersense_fix(sequence): + + """ + Ensure tag sequence is BIO-compliant + + """ + for idx, tag in enumerate(sequence): + tag=self.rev_supersense_tagset[tag] + if tag.startswith("I-"): + parts=tag.split("-") + label=parts[1] + flag=False + for i in range(idx-1, -1, -1): + prev=self.rev_supersense_tagset[sequence[i]].split("-") + + if prev[0] == "B" and prev[1] == label: + flag=True + break + + if prev[0] == "O": + break + + if prev[0] != "O" and prev[1] != label: + break + + if flag==False: + sequence[idx]=self.supersense_tagset["B-%s" % label] + + + def get_layer_transformation(tag_space, t): + + """ + After predicting a tag sequence, get the information we need to transform the current layer + to the next layer (e.g., merging tokens in the same entity and remembering which ones we merged) + + """ + + nl=tag_space.shape[1] + + all_tags=[] + for tags in t: + all_tags.append(list(tags.data.cpu().numpy())) + + # matrix for merging tokens in layer n+1 that are part of the same entity in layer n + all_index=[] + # indices of tokens that were merged (so we can restored them later) + all_missing=[] + # length of the resulting layer (after merging) + all_lens=[] + + for tags1 in all_tags: + supersense_fix(tags1) + index1=self.get_index([tags1], self.rev_supersense_tagset)[0] + for z in range(len(index1)): + for y in range(len(index1[z]), nl): + index1[z].append(0) + for z in range(len(index1), nl): + index1.append(np.zeros(nl)) + + all_index.append(index1) + + missing1=[] + nll=0 + for idx, tag in enumerate(tags1): + if idx > 0 and self.rev_supersense_tagset[tag].startswith("I-"): + missing1.append(idx) + else: + nll+=1 + + all_lens.append(nll) + all_missing.append(missing1) + + all_index=torch.FloatTensor(all_index).to(self.device) + + return all_tags, all_index, all_missing, all_lens + + ## PREDICT + + wn=wn.to(self.device) + input_ids = input_ids.to(self.device) + attention_mask = attention_mask.to(self.device) + transforms = transforms.to(self.device) + + ll=lens.to(self.device) + + output = self.bert(input_ids, token_type_ids=None, attention_mask=attention_mask, output_hidden_states=True) + hidden_states=output["hidden_states"] + + if self.num_layers == 4: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2], hidden_states[-3], hidden_states[-4]), 2) + elif self.num_layers == 2: + all_layers = torch.cat((hidden_states[-1], hidden_states[-2]), 2) + + # remove the opening [CLS] + reduced=torch.matmul(transforms,all_layers)[:,1:,:] + + wn_embeds=self.wn_embedding(wn) + + wn_embeds=wn_embeds[:,1:,:] + + reduced=torch.cat([reduced, wn_embeds], axis=2) + + lstm_out1, _ = self.supersense_lstm1(reduced) + tag_space1 = self.supersense_hidden2tag1(lstm_out1) + + _, t1 = self.supersense_crf.viterbi_decode(tag_space1, ll-2) + + all_tags1, all_index1, all_missing1, n_lens1=get_layer_transformation(tag_space1, t1) + + return all_tags1 + + + def tag_all(self, batched_wn, batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering, doEvent=True, doEntities=True, doSS=True): + + """ Tag input data for layered sequence labeling """ + + c=0 + e=0 + ordered_preds=[] + ordered_supersense_preds=[] + ordered_events=[] + preds_in_order=events_in_order=supersense_preds_in_order=None + + with torch.no_grad(): + + for b in range(len(batched_data)): + all_tags1, all_tags2, all_tags3, event_logits, all_supersense_tags1=self.predict_all(batched_wn[b], batched_data[b], attention_mask=batched_mask[b], transforms=batched_transforms[b], lens=batched_orig_token_lens[b], doEvent=doEvent, doEntities=doEntities, doSS=doSS) + + # for each sentence in the batch + + if doEntities: + for d in range(len(all_tags1)): + + preds={} + + for entity in self.get_spans(self.rev_tagset, c, all_tags1[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags2[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags3[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + + ordered_preds.append(preds) + + c+=1 + + if doSS: + for d in range(len(all_supersense_tags1)): + + supersense_preds={} + + for entity in self.get_spans(self.rev_supersense_tagset, e, all_supersense_tags1[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + supersense_preds[entity]=1 + + ordered_supersense_preds.append(supersense_preds) + e+=1 + + if doEvent: + + logits=event_logits.cpu() + ordered_event_preds=[] + ordered_event_preds += [np.array(r) for r in logits] + size=batched_wn[b].shape + + logits=logits.view(-1, size[1]-1, 2) + + for row in range(size[0]): + events={} + for col in range(batched_orig_token_lens[b][row]-1): + pred=np.argmax(logits[row][col]) + if pred == 1: + events[col]=1 + ordered_events.append(events) + + if doSS: + supersense_preds_in_order = [None for i in range(len(ordering))] + for i, ind in enumerate(ordering): + supersense_preds_in_order[ind] = ordered_supersense_preds[i] + + if doEntities: + preds_in_order = [None for i in range(len(ordering))] + for i, ind in enumerate(ordering): + preds_in_order[ind] = ordered_preds[i] + + if doEvent: + events_in_order = [None for i in range(len(ordering))] + for i, ind in enumerate(ordering): + events_in_order[ind] = ordered_events[i] + + + return preds_in_order, events_in_order, supersense_preds_in_order + + + def tag(self, batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering): + + c=0 + ordered_preds=[] + + with torch.no_grad(): + + for b in range(len(batched_data)): + all_tags1, all_tags2, all_tags3=self.predict(batched_data[b], attention_mask=batched_mask[b], transforms=batched_transforms[b], lens=batched_orig_token_lens[b]) + + for d in range(len(all_tags1)): + + preds={} + + for entity in self.get_spans(self.rev_tagset, c, all_tags1[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags2[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags3[d], batched_orig_token_lens[b][d], batched_sents[b][d][1:]): + preds[entity]=1 + + ordered_preds.append(preds) + + c+=1 + + + preds_in_order = [None for i in range(len(ordering))] + for i, ind in enumerate(ordering): + preds_in_order[ind] = ordered_preds[i] + + return preds_in_order + + def supersense_evaluate(self, test_batched_wn, test_batched_sents, test_batched_data, test_batched_mask, test_batched_labels, test_batched_transforms, test_batched_layered_labels1, test_batched_layered_labels2, test_batched_layered_labels3, test_batched_layered_labels4, dev_lens): + + self.eval() + + with torch.no_grad(): + preds={} + golds={} + c=0 + for b in range(len(test_batched_data)): + all_tags1=self.supersense_predict(test_batched_wn[b], test_batched_data[b], attention_mask=test_batched_mask[b], transforms=test_batched_transforms[b], lens=dev_lens[0][b]) + + for d in range(len(all_tags1)): + + # remove [CLS] from the gold labels + for entity in self.get_spans(self.rev_supersense_tagset, c, test_batched_layered_labels1[b][d][1:], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + golds[entity]=1 + + # predicted tags already have [CLS] removed + for entity in self.get_spans(self.rev_supersense_tagset, c, all_tags1[d], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + preds[entity]=1 + + c+=1 + + + F1=sequence_eval.check_span_f1_two_dicts_subcat(golds, preds) + + return F1 + + + def evaluate(self, test_batched_sents, test_batched_data, test_batched_mask, test_batched_labels, test_batched_transforms, test_batched_layered_labels1, test_batched_layered_labels2, test_batched_layered_labels3, test_batched_layered_labels4, dev_lens): + + """ Evaluate input data (with labels) for layered sequence labeling """ + + self.eval() + + with torch.no_grad(): + preds={} + golds={} + c=0 + for b in range(len(test_batched_data)): + all_tags1, all_tags2, all_tags3=self.predict(test_batched_data[b], attention_mask=test_batched_mask[b], transforms=test_batched_transforms[b], lens=dev_lens[0][b]) + + for d in range(len(all_tags1)): + + # remove [CLS] from the gold labels + # LitBank has max 4 layers + for entity in self.get_spans(self.rev_tagset, c, test_batched_layered_labels1[b][d][1:], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + golds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, test_batched_layered_labels2[b][d][1:], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + golds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, test_batched_layered_labels3[b][d][1:], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + golds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, test_batched_layered_labels4[b][d][1:], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + golds[entity]=1 + + # predicted tags already have [CLS] removed + # LitBank has max 4 layers but 4th layer has only 0.1% of tags, so let's just predict 3 + for entity in self.get_spans(self.rev_tagset, c, all_tags1[d], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags2[d], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + preds[entity]=1 + for entity in self.get_spans(self.rev_tagset, c, all_tags3[d], dev_lens[0][b][d], test_batched_sents[b][d][1:]): + preds[entity]=1 + + c+=1 + + F1=sequence_eval.check_span_f1_two_dicts_subcat(golds, preds) + + return F1 + + def evaluateFlat(self, dev_batched_data, dev_batched_mask, dev_batched_labels, dev_batched_transforms, metric, tagset): + + num_labels=len(tagset) + + self.eval() + + with torch.no_grad(): + + ordered_preds=[] + + all_preds=[] + all_golds=[] + + for b in range(len(dev_batched_data)): + + logits = self.forwardFlatSequence(dev_batched_data[b], token_type_ids=None, attention_mask=dev_batched_mask[b], transforms=dev_batched_transforms[b]) + + logits=logits.cpu() + + ordered_preds += [np.array(r) for r in logits] + size=dev_batched_labels[b].shape + + logits=logits.view(-1, size[1], num_labels) + + for row in range(size[0]): + for col in range(size[1]): + if dev_batched_labels[b][row][col] != -100: + pred=np.argmax(logits[row][col]) + all_preds.append(pred.cpu().numpy()) + all_golds.append(dev_batched_labels[b][row][col].cpu().numpy()) + + return metric(all_golds, all_preds, tagset) + + + def tagFlat(self, batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering): + + with torch.no_grad(): + + c=0 + ordered_preds=[] + + for b in range(len(batched_data)): + + dataSize=batched_transforms[b].shape + batch_len=dataSize[0] + sequence_length=dataSize[1] + logits = self.forwardFlatSequence(batched_data[b], token_type_ids=None, attention_mask=batched_mask[b], transforms=batched_transforms[b]) + logits=logits.view(-1, sequence_length, self.num_labels_flat) + + logits=logits.cpu() + + preds=np.argmax(logits, axis=2) + + for sentence in range(batch_len): + word_preds=[] + + for idx in range(1,len(batched_sents[b][sentence])-1): + + word_preds.append((batched_sents[b][sentence][idx], int(preds[sentence][idx]))) + + ordered_preds.append(word_preds) + + preds_in_order = [None for i in range(len(ordering))] + for i, ind in enumerate(ordering): + preds_in_order[ind] = ordered_preds[i] + + return preds_in_order + + + def get_spans(self, rev_tagset, doc_idx, tags, length, sentence): + + # remove the opening [CLS] and closing [SEP] + tags=tags[:length-2] + + entities={} + + for idx, tag in enumerate(tags): + + tag=rev_tagset[int(tag)] + + if tag.startswith("B-"): + j=idx+1 + parts=tag.split("-") + + while(1): + + if j >= len(tags): + break + + tagn=rev_tagset[int(tags[j])] + if tagn.startswith("B") or tagn.startswith("O"): + break + + parts_n=tagn.split("-") + + if parts_n[1] != parts[1]: + break + + j+=1 + + key=doc_idx, parts[1], idx, j + + entities[key]=1 + + return entities + + def compress(self, labels, rev_tagset): + newlabels=[] + keep=[i for i in range(len(labels[0]))] + + for i in range(len(labels)): + newlabels.append([labels[i][k] for k in keep]) + newkeep=[] + for j in keep: + if labels[i][j] == -100 or not rev_tagset[labels[i][j]].startswith("I-"): + newkeep.append(j) + + keep=newkeep + + return newlabels + + def get_index(self, all_labels, rev_tagset): + indices=[] + for labels in all_labels: + index=[] + n=len(labels) + for idx, label in enumerate(labels): + ind=list(np.zeros(n)) + + if label == -100 or not rev_tagset[label].startswith("I-"): + ind[idx]=1 + index.append(ind) + else: + index[-1][idx]=1 + + indices.append(index) + + for index in indices: + for i, idx in enumerate(index): + idx=idx/np.sum(idx) + + index[i]=list(idx) + + return indices + diff --git a/components/E2A-SML/cli.py b/components/E2A-SML/cli.py new file mode 100644 index 0000000..76ba0a3 --- /dev/null +++ b/components/E2A-SML/cli.py @@ -0,0 +1,288 @@ +#!/usr/bin/env python3 +"""Command-line interface for SML Book Dialog Extractor.""" + +import argparse +import json +import os +import sys +from pathlib import Path + +from sml_extractor.core import ( + check_booknlp_installation, + convert_ebook_to_txt, + extract_characters, + load_booknlp_output, + run_booknlp, +) +from sml_extractor.sml_generator import generate_sml_macros, generate_sml_output +from sml_extractor.voice_matcher import ( + auto_assign_voices, + get_voice_display_name, + scan_custom_voices, + scan_voice_library, +) + + +def main(): + parser = argparse.ArgumentParser( + description="SML Book Dialog Extractor - Convert books to SML format for ebook2audiobook", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # Basic usage - process a book and generate SML output + python cli.py input_book.txt --e2a-path /path/to/ebook2audiobook + + # With custom output directory + python cli.py input_book.txt --e2a-path ~/ebook2audiobook -o output/ + + # Process an epub file (requires Calibre) + python cli.py mybook.epub --e2a-path ~/ebook2audiobook + + # Use pre-existing BookNLP output + python cli.py --booknlp-dir existing_output/ --book-id mybook --e2a-path ~/ebook2audiobook -o sml_output/ + + # Launch web GUI instead + python cli.py --gui + """, + ) + + parser.add_argument( + "input_file", + nargs="?", + help="Input book file (.txt, .epub, .mobi, .pdf, etc.)", + ) + parser.add_argument( + "-o", + "--output-dir", + default="output", + help="Output directory (default: output/)", + ) + parser.add_argument( + "--model", + choices=["small", "big"], + default="small", + help="BookNLP model size (default: small)", + ) + default_e2a_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) + if not os.path.isdir(os.path.join(default_e2a_path, "voices")) and os.path.isdir("/ebook2audiobook/voices"): + default_e2a_path = "/ebook2audiobook" + + parser.add_argument( + "--e2a-path", + default=default_e2a_path, + help="Path to ebook2audiobook repository (required for voice assignment). " + "Defaults to the parent directory of this tool.", + ) + parser.add_argument( + "--voices-dir", + help="Path to custom voice files directory", + ) + parser.add_argument( + "--language", + default="eng", + help="Language code for voice selection (default: eng)", + ) + parser.add_argument( + "--booknlp-dir", + help="Use existing BookNLP output directory instead of running BookNLP", + ) + parser.add_argument( + "--book-id", + help="Book ID for loading existing BookNLP output (used with --booknlp-dir)", + ) + parser.add_argument( + "--gui", + action="store_true", + help="Launch web GUI instead of CLI mode", + ) + parser.add_argument( + "--host", + default="127.0.0.1", + help="Host for web GUI (default: 127.0.0.1)", + ) + parser.add_argument( + "--port", + type=int, + default=7861, + help="Port for web GUI (default: 7861)", + ) + parser.add_argument( + "--share", + action="store_true", + help="Create a public Gradio share link", + ) + + args = parser.parse_args() + + # Expand ~ in all path arguments + if args.e2a_path: + args.e2a_path = os.path.expanduser(args.e2a_path) + if args.output_dir: + args.output_dir = os.path.expanduser(args.output_dir) + if args.voices_dir: + args.voices_dir = os.path.expanduser(args.voices_dir) + if args.booknlp_dir: + args.booknlp_dir = os.path.expanduser(args.booknlp_dir) + if args.input_file: + args.input_file = os.path.expanduser(args.input_file) + + if args.gui: + _launch_gui(args) + return + + if not args.input_file and not args.booknlp_dir: + parser.error("Either input_file or --booknlp-dir is required (or use --gui)") + + + + if not os.path.isdir(args.e2a_path): + parser.error(f"ebook2audiobook path not found: {args.e2a_path}") + + voices_dir = os.path.join(args.e2a_path, "voices") + if not os.path.isdir(voices_dir): + parser.error( + f"No 'voices/' directory found in {args.e2a_path}. " + "Make sure this is the ebook2audiobook repository root." + ) + + _run_headless(args) + + +def _run_headless(args): + """Run in headless/CLI mode.""" + + def progress(msg, pct=0): + print(f"[{pct:3d}%] {msg}") + + # Check BookNLP installation before starting + if not args.booknlp_dir: + ok, msg = check_booknlp_installation() + if not ok: + print(f"Error: {msg}") + sys.exit(1) + print("✓ BookNLP installation verified.\n") + + output_dir = os.path.abspath(args.output_dir) + os.makedirs(output_dir, exist_ok=True) + + # Step 1: Get text file + if args.booknlp_dir: + booknlp_dir = os.path.abspath(args.booknlp_dir) + book_id = args.book_id + if not book_id: + # Try to detect book_id from files in the directory + for f in os.listdir(booknlp_dir): + if f.endswith(".tokens"): + book_id = Path(f).stem + break + if not book_id: + print("Error: Could not determine book_id. Use --book-id.") + sys.exit(1) + progress(f"Loading existing BookNLP output for '{book_id}'...", 50) + else: + input_file = os.path.abspath(args.input_file) + if not os.path.exists(input_file): + print(f"Error: Input file not found: {input_file}") + sys.exit(1) + + progress(f"Processing: {input_file}", 0) + + # Convert if needed + txt_file = convert_ebook_to_txt(input_file, output_dir) + progress(f"Text file: {txt_file}", 5) + + booknlp_dir = os.path.join(output_dir, "booknlp") + result = run_booknlp(txt_file, booknlp_dir, args.model, progress) + book_id = result["book_id"] + + # Step 2: Load BookNLP data + booknlp_data = load_booknlp_output(booknlp_dir, book_id) + progress("BookNLP data loaded.", 65) + + # Step 3: Extract characters + characters = extract_characters(booknlp_data) + progress(f"Found {len(characters)} characters.", 70) + + # Print character summary + print("\n--- Characters Found ---") + for i, char in enumerate(characters): + gender = char.get("inferred_gender", "unknown") + age = char.get("inferred_age_category", "unknown") + name = char.get("normalized_name", f"Character{i}") + print(f" {i + 1}. {name} (gender: {gender}, age: {age})") + print() + + # Step 4: Auto-assign voices from ebook2audiobook voice library + voice_assignments = {} + progress("Scanning ebook2audiobook voice library...", 75) + voice_library = scan_voice_library(args.e2a_path, args.language) + custom_voices = ( + scan_custom_voices(args.voices_dir) if args.voices_dir else None + ) + voice_assignments = auto_assign_voices( + characters, voice_library, custom_voices + ) + progress(f"Auto-assigned {len(voice_assignments)} voices.", 80) + + print("--- Voice Assignments ---") + for name, voice in voice_assignments.items(): + print(f" {name} -> {get_voice_display_name(voice)}") + print() + + # Step 5: Generate SML output (macro-based: voice tags use character names) + if not booknlp_data.get("tokens") and "book_txt" not in booknlp_data: + print("Error: No token data or book.txt found in BookNLP output. Cannot generate SML.") + sys.exit(1) + + sml_output_path = os.path.join(output_dir, f"{book_id}.sml.txt") + generate_sml_output( + booknlp_data, characters, sml_output_path, voice_assignments, use_macros=True + ) + progress(f"SML output written to: {sml_output_path}", 88) + + # Step 6: Generate deprecated SML output (path-based: voice tags use raw file paths) + deprecated_sml_path = os.path.join(output_dir, f"{book_id}.deprecated.sml.txt") + generate_sml_output( + booknlp_data, characters, deprecated_sml_path, voice_assignments, use_macros=False + ) + progress(f"Deprecated SML (path-based) written to: {deprecated_sml_path}", 92) + + # Step 7: Generate SML macros JSON + macros_json_path = os.path.join(output_dir, f"{book_id}.sml.json") + generate_sml_macros(characters, macros_json_path, voice_assignments) + progress(f"SML Macros JSON written to: {macros_json_path}", 97) + + progress("Done!", 100) + + print(f"\n=== Output Files ===") + print(f" SML text (macro): {sml_output_path}") + print(f" SML text (deprecated): {deprecated_sml_path}") + print(f" SML Macros JSON: {macros_json_path}") + if voice_assignments: + print(f"\n Voice assignments are embedded in the SML output.") + print(f" Use the SML file with ebook2audiobook for multi-speaker audiobook generation.") + else: + print(f"\n No voices were matched from {args.e2a_path}.") + print(f" Check that voices/{args.language}/ contains voice files.") + + +def _launch_gui(args): + """Launch the web GUI.""" + try: + import gradio as gr + from web_gui import create_app + + app = create_app(default_e2a_path=args.e2a_path or "") + app.launch( + server_name=args.host, + server_port=args.port, + share=args.share, + ) + except ImportError as e: + print(f"Error: Could not launch GUI. Make sure gradio is installed: {e}") + print(" pip install gradio") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/components/E2A-SML/docker-compose.yml b/components/E2A-SML/docker-compose.yml new file mode 100644 index 0000000..0b882bf --- /dev/null +++ b/components/E2A-SML/docker-compose.yml @@ -0,0 +1,11 @@ +services: + sml-extractor: + build: . + ports: + - "7861:7861" + volumes: + # Mount the parent ebook2audiobook folder for voice library access. + # Automatically mounts the directory two levels up. + - ../../:/ebook2audiobook + # Mount a local output directory to persist generated SML files + - ./output:/app/output diff --git a/components/E2A-SML/requirements.txt b/components/E2A-SML/requirements.txt new file mode 100644 index 0000000..c3a0646 --- /dev/null +++ b/components/E2A-SML/requirements.txt @@ -0,0 +1,13 @@ +# BookNLP dependencies +tokenizers>=0.13.0 +spacy>=3.5.0 +sentence-transformers +tqdm>=4.65.0 + +# Web GUI +gradio>=4.0.0 + +# Core dependencies +torch>=2.0.0 +transformers>=4.30.0 +numpy>=1.24.0 diff --git a/components/E2A-SML/sml_extractor/__init__.py b/components/E2A-SML/sml_extractor/__init__.py new file mode 100644 index 0000000..ce9a007 --- /dev/null +++ b/components/E2A-SML/sml_extractor/__init__.py @@ -0,0 +1,3 @@ +"""SML Book Dialog Extractor - Convert books to SML format for ebook2audiobook.""" + +__version__ = "1.0.0" diff --git a/components/E2A-SML/sml_extractor/core.py b/components/E2A-SML/sml_extractor/core.py new file mode 100644 index 0000000..9c0a230 --- /dev/null +++ b/components/E2A-SML/sml_extractor/core.py @@ -0,0 +1,379 @@ +"""Core module for running BookNLP and extracting dialog/character data.""" + +import json +import os +import re +import tempfile +from collections import Counter +from pathlib import Path + + +def check_booknlp_installation() -> tuple[bool, str]: + """Check if BookNLP and its dependencies are properly installed. + + Returns: + Tuple of (is_ok, message). If not ok, message describes what's missing. + """ + errors = [] + + # Check booknlp package + try: + import booknlp # noqa: F401 + except ImportError: + errors.append( + "BookNLP local module is not found. Ensure the 'booknlp' directory " + "is in the same folder as this script." + ) + return False, "\n".join(errors) + + # Check key dependencies that commonly fail + dep_checks = [ + ("torch", "torch", "pip install torch"), + ("transformers", "transformers", "pip install transformers>=4.30.0"), + ("spacy", "spacy", "pip install spacy>=3.5.0"), + ("sentence_transformers", "sentence-transformers", "pip install sentence-transformers"), + ("numpy", "numpy", "pip install numpy>=1.24.0"), + ] + + for module_name, pkg_name, install_cmd in dep_checks: + try: + __import__(module_name) + except ImportError: + errors.append(f" - {pkg_name} is missing. Fix: {install_cmd}") + + if errors: + return False, ( + "BookNLP dependencies are missing:\n" + + "\n".join(errors) + + "\n\nOr install all at once:\n" + " pip install -r requirements.txt\n" + " python -m spacy download en_core_web_sm" + ) + + # Check spacy model + try: + import spacy + spacy.load("en_core_web_sm") + except OSError: + errors.append( + "spaCy English model not found. Install it with:\n" + " python -m spacy download en_core_web_sm" + ) + + if errors: + return False, "\n".join(errors) + + # Try the actual BookNLP import that tends to fail + try: + from booknlp.booknlp import BookNLP # noqa: F401 + except (ImportError, ModuleNotFoundError, AttributeError, OSError) as e: + return False, ( + f"BookNLP failed to initialize: {e}\n\n" + "This usually means a dependency version conflict.\n" + "Try reinstalling dependencies in a clean environment:\n" + " pip install -r requirements.txt\n" + " python -m spacy download en_core_web_sm" + ) + + return True, "BookNLP is ready." + + +def convert_ebook_to_txt(input_file: str, output_dir: str) -> str: + """Convert an ebook file to plain text using calibre's ebook-convert if needed. + + Supports: .txt, .epub, .mobi, .pdf, .html, .fb2, .azw, .azw3 + Returns the path to the plain text file. + """ + ext = Path(input_file).suffix.lower() + if ext == ".txt": + return input_file + + txt_path = os.path.join(output_dir, Path(input_file).stem + ".txt") + try: + import subprocess + + result = subprocess.run( + ["ebook-convert", input_file, txt_path], + capture_output=True, + text=True, + timeout=300, + ) + if result.returncode != 0: + raise RuntimeError( + f"ebook-convert failed: {result.stderr}" + ) + return txt_path + except FileNotFoundError: + raise RuntimeError( + "ebook-convert not found. Install Calibre to convert non-txt ebook formats. " + "Download from: https://calibre-ebook.com/download" + ) + + +def run_booknlp( + input_file: str, + output_dir: str, + model: str = "small", + progress_callback=None, +) -> dict: + """Run BookNLP pipeline on a text file and return extracted data. + + Args: + input_file: Path to the input text file. + output_dir: Directory for BookNLP output files. + model: BookNLP model size ('small' or 'big'). + progress_callback: Optional callable(message, pct) for progress updates. + + Returns: + Dict with keys: 'book_id', 'output_dir', 'characters', 'tokens_file', + 'quotes_file', 'entities_file', 'book_file' + + Raises: + RuntimeError: If BookNLP or its dependencies are not properly installed. + """ + # Pre-check installation before attempting import + ok, msg = check_booknlp_installation() + if not ok: + raise RuntimeError(f"BookNLP installation check failed:\n{msg}") + + from booknlp.booknlp import BookNLP + + os.makedirs(output_dir, exist_ok=True) + book_id = Path(input_file).stem + + if progress_callback: + progress_callback("Initializing BookNLP...", 5) + + # Set model path to ebook2audiobook/models/booknlp_models + model_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", "models", "booknlp_models")) + + model_params = { + "pipeline": "entity,quote,supersense,event,coref", + "model": model, + "model_path": model_dir, + } + + booknlp = BookNLP("en", model_params) + + if progress_callback: + progress_callback(f"Processing book with BookNLP ({model} model)...", 10) + + booknlp.process(input_file, output_dir, book_id) + + if progress_callback: + progress_callback("BookNLP processing complete.", 60) + + result = { + "book_id": book_id, + "output_dir": output_dir, + "tokens_file": os.path.join(output_dir, f"{book_id}.tokens"), + "quotes_file": os.path.join(output_dir, f"{book_id}.quotes"), + "entities_file": os.path.join(output_dir, f"{book_id}.entities"), + "book_file": os.path.join(output_dir, f"{book_id}.book"), + } + + # Also check for generated character/book text files + char_json = os.path.join(output_dir, f"{book_id}.characters_simple.json") + book_txt = os.path.join(output_dir, f"{book_id}.book.txt") + if os.path.exists(char_json): + result["characters_simple_file"] = char_json + if os.path.exists(book_txt): + result["book_txt_file"] = book_txt + + return result + + +def load_booknlp_output(output_dir: str, book_id: str) -> dict: + """Load BookNLP output files and return structured data. + + Returns dict with: tokens, quotes, entities, characters, book_data + """ + data = {"book_id": book_id, "output_dir": output_dir} + + # Load tokens + tokens_file = os.path.join(output_dir, f"{book_id}.tokens") + if os.path.exists(tokens_file): + data["tokens"] = _parse_tokens_file(tokens_file) + + # Load quotes + quotes_file = os.path.join(output_dir, f"{book_id}.quotes") + if os.path.exists(quotes_file): + data["quotes"] = _parse_quotes_file(quotes_file) + + # Load entities + entities_file = os.path.join(output_dir, f"{book_id}.entities") + if os.path.exists(entities_file): + data["entities"] = _parse_entities_file(entities_file) + + # Load book JSON + book_file = os.path.join(output_dir, f"{book_id}.book") + if os.path.exists(book_file): + with open(book_file, "r", encoding="utf-8") as f: + data["book_data"] = json.load(f) + + # Load characters_simple.json if exists + char_file = os.path.join(output_dir, f"{book_id}.characters_simple.json") + if os.path.exists(char_file): + with open(char_file, "r", encoding="utf-8") as f: + data["characters_simple"] = json.load(f) + + # Load book.txt if exists + book_txt = os.path.join(output_dir, f"{book_id}.book.txt") + if os.path.exists(book_txt): + with open(book_txt, "r", encoding="utf-8") as f: + data["book_txt"] = f.read() + + return data + + +def _parse_tokens_file(filepath: str) -> list: + """Parse BookNLP tokens file into list of token dicts.""" + tokens = [] + with open(filepath, "r", encoding="utf-8") as f: + header = f.readline().strip().split("\t") + for line in f: + parts = line.strip().split("\t") + if len(parts) >= len(header): + token = dict(zip(header, parts)) + tokens.append(token) + return tokens + + +def _parse_quotes_file(filepath: str) -> list: + """Parse BookNLP quotes file into list of quote dicts.""" + quotes = [] + with open(filepath, "r", encoding="utf-8") as f: + header = f.readline().strip().split("\t") + for line in f: + parts = line.strip().split("\t") + if len(parts) >= len(header): + quote = dict(zip(header, parts)) + quotes.append(quote) + return quotes + + +def _parse_entities_file(filepath: str) -> list: + """Parse BookNLP entities file into list of entity dicts.""" + entities = [] + with open(filepath, "r", encoding="utf-8") as f: + header = f.readline().strip().split("\t") + for line in f: + parts = line.strip().split("\t") + if len(parts) >= len(header): + entity = dict(zip(header, parts)) + entities.append(entity) + return entities + + +def extract_characters(booknlp_data: dict) -> list: + """Extract character information from BookNLP output. + + Returns list of character dicts with: + normalized_name, inferred_gender, inferred_age_category, voice, language + """ + # If characters_simple already exists from BookNLP, use that + if "characters_simple" in booknlp_data: + return booknlp_data["characters_simple"].get("characters", []) + + # Otherwise, extract from book_data + characters = [] + + # Always add narrator first + characters.append( + { + "normalized_name": "Narrator", + "inferred_gender": "unknown", + "inferred_age_category": "unknown", + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None, + } + ) + + if "book_data" not in booknlp_data: + return characters + + book_data = booknlp_data["book_data"] + char_data = book_data.get("characters", []) + + for char in char_data: + gender = _infer_gender(char) + age = _infer_age(char) + proper_names = char.get("names", {}).get("proper", []) + raw_name = proper_names[0] if proper_names else f"Character{char.get('id', 0)}" + name = _normalize_name(raw_name) + + characters.append( + { + "normalized_name": name, + "inferred_gender": gender, + "inferred_age_category": age, + "tts_engine": "XTTSv2", + "language": "eng", + "voice": None, + } + ) + + return characters + + +def _infer_gender(char: dict) -> str: + """Infer gender from character data.""" + gender_data = char.get("g", None) + if gender_data is None: + return "unknown" + + if isinstance(gender_data, dict): + he_count = gender_data.get("he/him/his", 0) + she_count = gender_data.get("she/her", 0) + they_count = gender_data.get("they/them/their", 0) + + if he_count > she_count and he_count > they_count: + return "male" + elif she_count > he_count and she_count > they_count: + return "female" + else: + return "unknown" + elif isinstance(gender_data, str): + if gender_data in ("he/him/his", "male"): + return "male" + elif gender_data in ("she/her", "female"): + return "female" + + return "unknown" + + +def _infer_age(char: dict) -> str: + """Infer age category from character data.""" + # Check if age was already inferred + if "inferred_age_category" in char: + return char["inferred_age_category"] + + # Look at modifiers and actions for age clues + modifiers = char.get("modifiers", []) + mod_text = " ".join(str(m) for m in modifiers).lower() if modifiers else "" + + child_words = {"child", "boy", "girl", "baby", "infant", "toddler", "kid", "little", "young"} + teen_words = {"teen", "teenager", "adolescent", "youth", "teenage"} + elder_words = {"old", "elderly", "aged", "ancient", "grandfather", "grandmother", "grandpa", "grandma"} + + for word in child_words: + if word in mod_text: + return "child" + for word in teen_words: + if word in mod_text: + return "teen" + for word in elder_words: + if word in mod_text: + return "elder" + + return "adult" + + +def _normalize_name(name: str) -> str: + """Normalize a character name to CamelCase.""" + # Remove special characters + name = re.sub(r"[^a-zA-Z0-9\s]", "", name) + # Convert to CamelCase + parts = name.strip().split() + return "".join(word.capitalize() for word in parts) if parts else "Unknown" diff --git a/components/E2A-SML/sml_extractor/sml_generator.py b/components/E2A-SML/sml_extractor/sml_generator.py new file mode 100644 index 0000000..9a25abb --- /dev/null +++ b/components/E2A-SML/sml_extractor/sml_generator.py @@ -0,0 +1,392 @@ +"""SML output generator - converts BookNLP output to SML format for ebook2audiobook.""" + +import json +import os +import re + + +def generate_sml_output( + booknlp_data: dict, + characters: list, + output_path: str, + voice_assignments: dict | None = None, + use_macros: bool = True, +) -> str: + """Generate SML-formatted text from BookNLP token-level and quote data. + + Uses the .tokens and .quotes files directly (token-level granularity) + instead of the sentence-level .book.txt, so that dialog and narration + are properly separated at exact quote boundaries. + + Falls back to the sentence-level .book.txt approach if token/quote data + is not available. + + Args: + booknlp_data: Dict returned by load_booknlp_output() containing + tokens, quotes, book_data, and optionally book_txt. + characters: List of character dicts with voice assignments. + output_path: Path to write the SML output file. + voice_assignments: Optional dict mapping character names to voice file paths. + use_macros: If True, voice tags use character names as macro references + instead of raw file paths. Defaults to True (macro-based output is + the recommended mode for use with ebook2audiobook). + + Returns: + Path to the generated SML file. + """ + char_voice_map = _build_voice_map(characters, voice_assignments) + + tokens = booknlp_data.get("tokens") + quotes = booknlp_data.get("quotes") + book_data = booknlp_data.get("book_data") + + if tokens and quotes is not None: + sml_content = _generate_from_tokens( + tokens, quotes, book_data, char_voice_map, use_macros=use_macros + ) + elif "book_txt" in booknlp_data: + sml_content = _generate_from_book_txt( + booknlp_data["book_txt"], char_voice_map, use_macros=use_macros + ) + else: + raise ValueError( + "No token/quote data or book.txt found in BookNLP output." + ) + + os.makedirs(os.path.dirname(os.path.abspath(output_path)), exist_ok=True) + with open(output_path, "w", encoding="utf-8") as f: + f.write(sml_content) + + return output_path + + +def _generate_from_tokens( + tokens: list, + quotes: list, + book_data: dict | None, + char_voice_map: dict, + use_macros: bool = True, +) -> str: + """Build SML using token-level quote boundaries. + + This gives exact narrator/character voice switches at quote boundaries + instead of the sentence-level approximation from .book.txt. + """ + # Build coref_id -> normalized character name mapping + coref_to_name = _build_coref_name_map(book_data) + + # Build a set of (token_id -> speaker_name) from quotes data + token_speaker = {} + for q in quotes: + try: + q_start = int(q.get("quote_start", -1)) + q_end = int(q.get("quote_end", -1)) + except (ValueError, TypeError): + continue + + char_id = q.get("char_id") + if char_id is None or char_id == "None" or char_id == "": + speaker_name = "Narrator" + else: + try: + char_id = int(char_id) + except (ValueError, TypeError): + char_id = str(char_id) + speaker_name = coref_to_name.get(char_id, coref_to_name.get(str(char_id), "Narrator")) + + for tid in range(q_start, q_end + 1): + token_speaker[tid] = speaker_name + + # Walk through tokens and build segments of consecutive same-speaker text + segments = [] + current_speaker = None + current_words = [] + current_para = None + + for tok in tokens: + try: + tid = int(tok.get("token_ID_within_document", -1)) + except (ValueError, TypeError): + continue + + word = tok.get("word", "") + para_id = tok.get("paragraph_ID") + + speaker = token_speaker.get(tid, "Narrator") + + # Paragraph break → flush current segment and insert blank line + if current_para is not None and para_id != current_para and current_words: + segments.append((current_speaker, _join_tokens(current_words))) + current_words = [] + current_speaker = None + segments.append((None, "")) # paragraph break marker + + # Speaker change → flush segment + if speaker != current_speaker and current_words: + segments.append((current_speaker, _join_tokens(current_words))) + current_words = [] + + current_speaker = speaker + current_words.append(word) + current_para = para_id + + # Flush remaining + if current_words: + segments.append((current_speaker, _join_tokens(current_words))) + + # Build SML output with voice tags + sml_lines = [] + active_voice_tag = None + + for speaker, text in segments: + if speaker is None: + # Paragraph break + sml_lines.append("") + continue + + text = clean_tts_text(text) + if not text: + continue + + voice_path = char_voice_map.get(speaker) + voice_tag_val = speaker if use_macros else voice_path + + if voice_tag_val and voice_tag_val != active_voice_tag: + if active_voice_tag is not None: + sml_lines.append("[/voice]") + sml_lines.append(f"[voice:{voice_tag_val}]") + active_voice_tag = voice_tag_val + elif not voice_tag_val and active_voice_tag is not None: + # No voice for this speaker but we have an open tag — keep it + pass + + sml_lines.append(text) + + if active_voice_tag is not None: + sml_lines.append("[/voice]") + + return "\n".join(sml_lines) + + +def _generate_from_book_txt(book_txt_content: str, char_voice_map: dict, use_macros: bool = True) -> str: + """Fallback: generate SML from sentence-level .book.txt.""" + lines = book_txt_content.strip().split("\n") + sml_lines = [] + current_voice = None + + for line in lines: + line = line.strip() + if not line: + sml_lines.append("") + continue + + match = re.match(r"^\[([^\]]+)\]\s*(.*?)\s*\[/\]$", line) + if match: + char_name = match.group(1) + text = clean_tts_text(match.group(2).strip()) + if not text: + continue + + voice_path = char_voice_map.get(char_name) + voice_tag_val = char_name if use_macros else voice_path + if voice_tag_val and voice_tag_val != current_voice: + if current_voice is not None: + sml_lines.append("[/voice]") + sml_lines.append(f"[voice:{voice_tag_val}]") + current_voice = voice_tag_val + + sml_lines.append(text) + else: + sml_lines.append(line) + + if current_voice is not None: + sml_lines.append("[/voice]") + + return "\n".join(sml_lines) + + +def _build_coref_name_map(book_data: dict | None) -> dict: + """Build mapping from coref cluster ID to normalized character name. + + Uses the .book JSON which contains character IDs and their proper-name + mentions (the same data used by BookNLP to generate book.txt). + """ + name_map = {} + if not book_data: + return name_map + + for character in book_data.get("characters", []): + char_id = character.get("id") + if char_id is None: + continue + + mentions = character.get("mentions", {}) + proper = mentions.get("proper", []) + common = mentions.get("common", []) + + # Pick the most common proper name, falling back to common noun + canonical = None + if proper: + canonical = proper[0].get("n", "") + elif common: + canonical = common[0].get("n", "") + + if canonical: + normalized = _normalize_name(canonical.title()) + else: + normalized = f"Character{char_id}" + + name_map[char_id] = normalized + name_map[str(char_id)] = normalized + + # Narrator is a special case (coref_id=0 is often the first-person narrator) + if 0 not in name_map: + name_map[0] = "Narrator" + name_map["0"] = "Narrator" + + return name_map + + +def _normalize_name(name: str) -> str: + """Normalize a name to CamelCase (matching core.py's normalization).""" + name = re.sub(r"[^a-zA-Z0-9\s]", "", name) + parts = name.strip().split() + return "".join(word.capitalize() for word in parts) if parts else "Unknown" + + +def clean_tts_text(text: str) -> str: + """Remove non-standard characters that may cause issues with TTS engines. + + Keeps alphanumeric characters (including accented letters via \\w), spaces, + and standard punctuation. Specifically retains: + - ASCII and Unicode word characters (letters, digits, underscore) + - Whitespace + - Common punctuation: . , ! ? ; : " ' ( ) [ ] { } - — – and curly quotes " " ' ' + """ + if not text: + return "" + + # Replace non-breaking space with normal space + text = text.replace('\u00A0', ' ') + # Retain word chars, whitespace, and the explicitly listed punctuation variants + # (both ASCII and Unicode curly/typographic equivalents) + text = re.sub(r'[^\w\s\.,!\?;:\"\'\u2018\u2019()\[\]\{\}\-\u2014\u2013\u201C\u201D]', '', text) + # Collapse multiple spaces into one + text = re.sub(r'\s{2,}', ' ', text) + return text.strip() + + +def _join_tokens(words: list) -> str: + """Join tokens into readable text with proper punctuation, contraction, and dialect spacing.""" + if not words: + return "" + + text = " ".join(words) + + # 1. Fix "n't" contractions with both straight and curly apostrophes + text = re.sub(r"\b(\w+)\s+(n['’]t)\b", r"\1\2", text, flags=re.IGNORECASE) + + # 2. Fix standard contractions with both straight and curly apostrophes + text = re.sub(r"\b(\w+)\s+(['’](?:s|re|ve|ll|d|m|t))\b", r"\1\2", text, flags=re.IGNORECASE) + + # 3. Fix dropped 'g' dialect (e.g., "swarmin ’" -> "swarmin'") + text = re.sub(r"\b(\w+in)\s+(['’])(?!\w)", r"\1\2", text, flags=re.IGNORECASE) + + # 4. Fix spacing around punctuation (UPDATED FOR CURLY QUOTES) + # Removes space BEFORE closing punctuation, including curly closing quotes/apostrophes + text = re.sub(r"\s+([,.!?;:\"')\]}’”])", r"\1", text) + # Removes space AFTER opening punctuation, including curly opening quotes + text = re.sub(r"([(\[{“‘])\s+", r"\1", text) + + # 5. Fix double spaces and cleanup + text = re.sub(r"\s{2,}", " ", text) + + return text.strip() + + +def generate_characters_json( + characters: list, + output_path: str, + voice_assignments: dict | None = None, +) -> str: + """Generate characters_simple.json with voice assignments. + + Args: + characters: List of character dicts. + output_path: Path to write the JSON file. + voice_assignments: Optional dict mapping character names to voice paths. + + Returns: + Path to the generated JSON file. + """ + if voice_assignments: + for char in characters: + name = char.get("normalized_name", "") + if name in voice_assignments: + char["voice"] = voice_assignments[name] + + result = {"characters": characters} + + os.makedirs(os.path.dirname(os.path.abspath(output_path)), exist_ok=True) + with open(output_path, "w", encoding="utf-8") as f: + json.dump(result, f, indent=2, ensure_ascii=False) + + return output_path + + +def generate_sml_macros( + characters: list, + output_path: str, + voice_assignments: dict | None = None, +) -> str: + """Generate the macro JSON file mapping character names to voice paths. + + Args: + characters: List of character dicts. + output_path: Path to write the JSON file. + voice_assignments: Optional dict mapping character names to voice paths. + + Returns: + Path to the generated JSON file. + """ + voice_map = _build_voice_map(characters, voice_assignments) + + macros_data = { + "macros": { + "voices": voice_map + } + } + + os.makedirs(os.path.dirname(os.path.abspath(output_path)), exist_ok=True) + with open(output_path, "w", encoding="utf-8") as f: + json.dump(macros_data, f, indent=4, ensure_ascii=False) + + return output_path + + +def _build_voice_map( + characters: list, voice_assignments: dict | None = None +) -> dict: + """Build a mapping of character names to voice file paths. + + Args: + characters: List of character dicts with potential voice fields. + voice_assignments: Optional override dict mapping names to voice paths. + + Returns: + Dict mapping character normalized_name to voice file path. + """ + voice_map = {} + + # First, collect from character data + for char in characters: + name = char.get("normalized_name", "") + voice = char.get("voice") + if name and voice: + voice_map[name] = voice + + # Override with explicit assignments + if voice_assignments: + voice_map.update(voice_assignments) + + return voice_map diff --git a/components/E2A-SML/sml_extractor/voice_matcher.py b/components/E2A-SML/sml_extractor/voice_matcher.py new file mode 100644 index 0000000..6dff75e --- /dev/null +++ b/components/E2A-SML/sml_extractor/voice_matcher.py @@ -0,0 +1,239 @@ +"""Voice matcher for auto-assigning voices from ebook2audiobook voice library.""" + +import os +import random +from pathlib import Path + + +# Voice directory structure in ebook2audiobook: +# voices/{lang}/{age_category}/{gender}/{VoiceName}.wav +# e.g. voices/eng/adult/female/AlexandraHisakawa.wav + +VOICE_EXTENSIONS = {".wav", ".mp3", ".flac", ".ogg"} +AGE_CATEGORIES = {"child", "teen", "adult", "elder"} +GENDERS = {"male", "female"} + + +def scan_voice_library(ebook2audiobook_path: str, language: str = "eng") -> dict: + """Scan the ebook2audiobook voice library and return available voices. + + Args: + ebook2audiobook_path: Path to the ebook2audiobook repository root. + language: Language code (default: 'eng'). + + Returns: + Dict organized as: + { + "adult": {"male": [path1, ...], "female": [path1, ...]}, + "child": {"male": [...], "female": [...]}, + "teen": {"male": [...], "female": [...]}, + "elder": {"male": [...], "female": [...]}, + } + """ + voices_dir = os.path.join(ebook2audiobook_path, "voices", language) + library = {} + + if not os.path.isdir(voices_dir): + return library + + for age_cat in AGE_CATEGORIES: + age_dir = os.path.join(voices_dir, age_cat) + if not os.path.isdir(age_dir): + continue + + library[age_cat] = {} + for gender in GENDERS: + gender_dir = os.path.join(age_dir, gender) + if not os.path.isdir(gender_dir): + library[age_cat][gender] = [] + continue + + voices = [] + for f in sorted(os.listdir(gender_dir)): + if Path(f).suffix.lower() in VOICE_EXTENSIONS: + voices.append(os.path.join("voices", language, age_cat, gender, f)) + library[age_cat][gender] = voices + + return library + + +def scan_custom_voices(voices_dir: str) -> list: + """Scan a custom directory for voice files. + + Args: + voices_dir: Path to directory containing voice files. + + Returns: + List of absolute paths to voice files. + """ + voices = [] + if not os.path.isdir(voices_dir): + return voices + + for root, _dirs, files in os.walk(voices_dir): + for f in sorted(files): + if Path(f).suffix.lower() in VOICE_EXTENSIONS: + voices.append(os.path.join(root, f)) + + return voices + + +def auto_assign_voices( + characters: list, + voice_library: dict, + custom_voices: list | None = None, +) -> dict: + """Automatically assign voices to characters based on gender and age. + + Characters with known genders (male/female) are assigned first so they + get matching voices. Characters with unknown gender are assigned + afterward, alternating between male and female pools to avoid exhausting + one gender's voice supply. + + Args: + characters: List of character dicts with inferred_gender and inferred_age_category. + voice_library: Voice library from scan_voice_library(). + custom_voices: Optional list of custom voice file paths. + + Returns: + Dict mapping character normalized_name to voice file path. + """ + assignments = {} + used_voices = set() + + # Split into known-gender vs unknown-gender characters, preserving order + known_gender_chars = [] + unknown_gender_chars = [] + for char in characters: + gender = char.get("inferred_gender", "unknown") + if gender in GENDERS: + known_gender_chars.append(char) + else: + unknown_gender_chars.append(char) + + # Assign known-gender characters first so they always get matching voices + for char in known_gender_chars: + name = char.get("normalized_name", "") + gender = char.get("inferred_gender", "unknown") + age = char.get("inferred_age_category", "adult") + + voice = _find_best_voice( + gender, age, voice_library, used_voices, custom_voices + ) + if voice: + assignments[name] = voice + used_voices.add(voice) + + # Assign unknown-gender characters, alternating male/female + alternate_genders = ["female", "male"] + for i, char in enumerate(unknown_gender_chars): + name = char.get("normalized_name", "") + age = char.get("inferred_age_category", "adult") + gender = alternate_genders[i % 2] + + voice = _find_best_voice( + gender, age, voice_library, used_voices, custom_voices + ) + if voice: + assignments[name] = voice + used_voices.add(voice) + + return assignments + + +def _find_best_voice( + gender: str, + age: str, + voice_library: dict, + used_voices: set, + custom_voices: list | None = None, +) -> str | None: + """Find the best available voice for given gender and age. + + Priority: + 1. Exact age+gender match + 2. Same gender, different age (prefer adult) + 3. Any available voice + """ + # Normalize inputs + if gender not in GENDERS: + gender = "female" # Default + if age not in AGE_CATEGORIES: + age = "adult" + + # Strategy 1: Exact match + voice = _pick_unused_voice(voice_library, age, gender, used_voices) + if voice: + return voice + + # Strategy 2: Same gender, different age (prefer adult > teen > elder > child) + age_fallback = ["adult", "teen", "elder", "child"] + for fallback_age in age_fallback: + if fallback_age == age: + continue + voice = _pick_unused_voice(voice_library, fallback_age, gender, used_voices) + if voice: + return voice + + # Strategy 3: Any available voice + other_gender = "male" if gender == "female" else "female" + for fallback_age in age_fallback: + voice = _pick_unused_voice( + voice_library, fallback_age, other_gender, used_voices + ) + if voice: + return voice + + # Strategy 4: Try custom voices + if custom_voices: + for v in custom_voices: + if v not in used_voices: + return v + + return None + + +def _pick_unused_voice( + voice_library: dict, age: str, gender: str, used_voices: set +) -> str | None: + """Pick a random unused voice from the library for given age and gender.""" + if age not in voice_library: + return None + if gender not in voice_library.get(age, {}): + return None + + available = [ + v for v in voice_library[age][gender] if v not in used_voices + ] + if not available: + return None + + return random.choice(available) + + +def get_voice_display_name(voice_path: str) -> str: + """Get a human-readable display name for a voice file.""" + return Path(voice_path).stem + + +def get_voice_category_info(voice_path: str) -> dict: + """Extract category info from a voice path in ebook2audiobook structure. + + Returns dict with keys: name, age, gender, language + """ + parts = Path(voice_path).parts + name = Path(voice_path).stem + + info = {"name": name, "age": "unknown", "gender": "unknown", "language": "unknown"} + + # Try to detect from path structure: voices/{lang}/{age}/{gender}/{file} + for i, part in enumerate(parts): + if part in AGE_CATEGORIES: + info["age"] = part + if i > 0: + info["language"] = parts[i - 1] + if i + 1 < len(parts) - 1 and parts[i + 1] in GENDERS: + info["gender"] = parts[i + 1] + break + + return info diff --git a/components/E2A-SML/web_gui.py b/components/E2A-SML/web_gui.py new file mode 100644 index 0000000..09afb05 --- /dev/null +++ b/components/E2A-SML/web_gui.py @@ -0,0 +1,481 @@ +#!/usr/bin/env python3 +"""Web GUI for SML Book Dialog Extractor using Gradio.""" + +import json +import os +import tempfile +from pathlib import Path + +import gradio as gr + +from sml_extractor.core import ( + check_booknlp_installation, + convert_ebook_to_txt, + extract_characters, + load_booknlp_output, + run_booknlp, +) +from sml_extractor.sml_generator import generate_sml_macros, generate_sml_output +from sml_extractor.voice_matcher import ( + auto_assign_voices, + get_voice_category_info, + get_voice_display_name, + scan_voice_library, +) + +# Global state for the current session +_session_state = {} + + +def _get_file_path(file_obj) -> str: + """Extract file path from a Gradio file object or string.""" + return file_obj.name if hasattr(file_obj, "name") else str(file_obj) + + +def _get_all_voice_paths(voice_library: dict) -> list: + """Collect all voice file paths from the voice library into a flat list.""" + paths = [] + for age in voice_library: + for gender in voice_library.get(age, {}): + paths.extend(voice_library[age][gender]) + return sorted(paths) + + +def _voice_display_label(voice_path: str) -> str: + """Create a human-readable label from a voice path, e.g. 'AlexandraHisakawa (adult/female)'.""" + info = get_voice_category_info(voice_path) + name = info["name"] + age = info["age"] + gender = info["gender"] + if age != "unknown" and gender != "unknown": + return f"{name} ({age}/{gender})" + return name + + +def process_book( + input_file, + model_size, + e2a_path, + progress=gr.Progress(), +): + """Process a book file through BookNLP and extract characters.""" + if input_file is None: + raise gr.Error("Please upload a book file.") + + # Validate ebook2audiobook path + if not e2a_path or not e2a_path.strip(): + raise gr.Error( + "Please provide the path to your ebook2audiobook folder.\n" + "This is required for voice auto-assignment." + ) + + e2a_path = os.path.expanduser(e2a_path.strip()) + + if not os.path.isdir(e2a_path): + raise gr.Error(f"ebook2audiobook folder not found: {e2a_path}") + + voices_dir = os.path.join(e2a_path, "voices") + if not os.path.isdir(voices_dir): + raise gr.Error( + f"No 'voices/' directory found in {e2a_path}.\n" + "Make sure this is the ebook2audiobook repository root." + ) + + progress(0.05, desc="Preparing...") + + # Create temp working directory + work_dir = tempfile.mkdtemp(prefix="sml_extractor_") + _session_state["work_dir"] = work_dir + + input_path = _get_file_path(input_file) + + # Convert to txt if needed + progress(0.1, desc="Converting to text...") + try: + txt_path = convert_ebook_to_txt(input_path, work_dir) + except RuntimeError as e: + raise gr.Error(str(e)) + + # Run BookNLP + booknlp_dir = os.path.join(work_dir, "booknlp") + progress(0.12, desc="Checking BookNLP installation...") + + ok, msg = check_booknlp_installation() + if not ok: + raise gr.Error(f"BookNLP is not properly installed:\n{msg}") + + progress(0.15, desc=f"Running BookNLP ({model_size} model)... This may take a while.") + + try: + result = run_booknlp(txt_path, booknlp_dir, model_size) + except Exception as e: + raise gr.Error(f"BookNLP processing failed: {e}") + + book_id = result["book_id"] + _session_state["book_id"] = book_id + _session_state["booknlp_dir"] = booknlp_dir + + progress(0.6, desc="Loading results...") + + # Load data + booknlp_data = load_booknlp_output(booknlp_dir, book_id) + _session_state["booknlp_data"] = booknlp_data + + # Extract characters + characters = extract_characters(booknlp_data) + _session_state["characters"] = characters + + progress(0.7, desc="Scanning voice library...") + + # Scan voice library from ebook2audiobook + voice_library = scan_voice_library(e2a_path) + _session_state["voice_library"] = voice_library + _session_state["e2a_path"] = e2a_path + + # Auto-assign voices based on each character's inferred gender and age + voice_assignments = {} + if voice_library: + voice_assignments = auto_assign_voices(characters, voice_library) + _session_state["voice_assignments"] = voice_assignments + + progress(0.8, desc="Preparing character editor...") + + # Build character table for display + char_table = _build_character_table(characters, voice_assignments) + + # Build available voices dropdown choices + char_names = [c.get("normalized_name", "Unknown") for c in characters] + voice_choices = _build_voice_choices(voice_library) + + # Get preview of book text + book_txt = booknlp_data.get("book_txt", "") + preview = book_txt[:3000] + ("..." if len(book_txt) > 3000 else "") + + progress(1.0, desc="Done!") + + num_voices = len(voice_assignments) + status_msg = ( + f"✅ Processed successfully!\n" + f"📚 Book ID: {book_id}\n" + f"👥 Characters found: {len(characters)}\n" + f"🎤 Voices auto-assigned: {num_voices}" + ) + + # Update character dropdown choices + char_dropdown_update = gr.update(choices=char_names, value=char_names[0] if char_names else None) + voice_dropdown_update = gr.update(choices=voice_choices, value=None) + + return ( + status_msg, # status_output + char_table, # char_table + preview, # book_preview + gr.update(visible=True), # char_voice_section + gr.update(visible=True), # generate_btn + char_dropdown_update, # char_selector + voice_dropdown_update, # voice_selector + _format_char_detail(characters, voice_assignments, char_names[0] if char_names else None), + ) + + +def _build_character_table(characters, voice_assignments): + """Build a list-of-lists table for the character editor.""" + rows = [] + for char in characters: + name = char.get("normalized_name", "Unknown") + gender = char.get("inferred_gender", "unknown") + age = char.get("inferred_age_category", "unknown") + voice = voice_assignments.get(name, "") + voice_display = _voice_display_label(voice) if voice else "(none)" + rows.append([name, gender, age, voice_display]) + return rows + + +def _build_voice_choices(voice_library): + """Build dropdown choices as (label, value) for available voices.""" + choices = [("(none)", "")] + all_voices = _get_all_voice_paths(voice_library) + for v in all_voices: + choices.append((_voice_display_label(v), v)) + return choices + + +def _format_char_detail(characters, voice_assignments, selected_name): + """Format detail text for the currently selected character.""" + if not selected_name: + return "No character selected." + + for char in characters: + if char.get("normalized_name") == selected_name: + gender = char.get("inferred_gender", "unknown") + age = char.get("inferred_age_category", "unknown") + voice = voice_assignments.get(selected_name, "") + voice_label = _voice_display_label(voice) if voice else "(none)" + return ( + f"**{selected_name}**\n" + f" • Inferred gender: {gender}\n" + f" • Inferred age category: {age}\n" + f" • Assigned voice: {voice_label}" + ) + return f"Character '{selected_name}' not found." + + +def on_char_selected(char_name): + """Called when the user selects a character from the dropdown.""" + characters = _session_state.get("characters", []) + voice_assignments = _session_state.get("voice_assignments", {}) + + detail = _format_char_detail(characters, voice_assignments, char_name) + + # Pre-select the currently assigned voice in the voice dropdown + current_voice = voice_assignments.get(char_name, "") + return detail, gr.update(value=current_voice) + + +def reassign_voice(char_name, voice_path): + """Reassign a voice to a character and refresh the table.""" + if not char_name: + return "Please select a character first.", gr.update(), "" + + if "voice_assignments" not in _session_state: + _session_state["voice_assignments"] = {} + + if voice_path and voice_path.strip(): + _session_state["voice_assignments"][char_name] = voice_path.strip() + voice_label = _voice_display_label(voice_path) + else: + _session_state["voice_assignments"].pop(char_name, None) + voice_label = "(none)" + + characters = _session_state.get("characters", []) + voice_assignments = _session_state["voice_assignments"] + + char_table = _build_character_table(characters, voice_assignments) + detail = _format_char_detail(characters, voice_assignments, char_name) + + return ( + char_table, + f"✅ {char_name} → {voice_label}", + detail, + ) + + +def generate_output(progress=gr.Progress()): + """Generate the SML output files.""" + if "booknlp_data" not in _session_state: + raise gr.Error("Please process a book first.") + + booknlp_data = _session_state["booknlp_data"] + characters = _session_state.get("characters", []) + voice_assignments = _session_state.get("voice_assignments", {}) + book_id = _session_state.get("book_id", "book") + work_dir = _session_state.get("work_dir", tempfile.mkdtemp(prefix="sml_extractor_")) + + book_txt = booknlp_data.get("book_txt", "") + has_tokens = bool(booknlp_data.get("tokens")) + if not book_txt and not has_tokens: + raise gr.Error("No book text data found. BookNLP may not have generated output files.") + + progress(0.3, desc="Generating SML output...") + + output_dir = os.path.join(work_dir, "sml_output") + os.makedirs(output_dir, exist_ok=True) + + # Generate SML text with macro-based voice tags (character names) + sml_path = os.path.join(output_dir, f"{book_id}.sml.txt") + generate_sml_output(booknlp_data, characters, sml_path, voice_assignments, use_macros=True) + + progress(0.5, desc="Generating deprecated SML (path-based)...") + + # Generate deprecated SML with raw voice file paths in tags + deprecated_sml_path = os.path.join(output_dir, f"{book_id}.deprecated.sml.txt") + generate_sml_output(booknlp_data, characters, deprecated_sml_path, voice_assignments, use_macros=False) + + progress(0.75, desc="Generating SML macros JSON...") + + # Generate SML macros JSON + macros_path = os.path.join(output_dir, f"{book_id}.sml.json") + generate_sml_macros(characters, macros_path, voice_assignments) + + progress(0.9, desc="Preparing download...") + + # Read generated content for preview + with open(sml_path, "r", encoding="utf-8") as f: + sml_content = f.read() + + sml_preview = sml_content[:5000] + ("..." if len(sml_content) > 5000 else "") + + progress(1.0, desc="Done!") + + return ( + f"✅ Generated successfully!\n\nFiles:\n - {sml_path}\n - {deprecated_sml_path}\n - {macros_path}", + sml_preview, + sml_path, + deprecated_sml_path, + macros_path, + ) + + +def create_app(default_e2a_path: str = "") -> gr.Blocks: + if not default_e2a_path: + default_e2a_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) + if not os.path.isdir(os.path.join(default_e2a_path, "voices")) and os.path.isdir("/ebook2audiobook/voices"): + default_e2a_path = "/ebook2audiobook" + + """Create the Gradio web interface. + + Args: + default_e2a_path: Default value for the ebook2audiobook path field. + """ + + with gr.Blocks( + title="SML Book Dialog Extractor", + ) as app: + + gr.Markdown( + """ + # 📚 SML Book Dialog Extractor + + Convert books to **SML format** for multi-speaker audiobook generation with + [ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook). + + This tool uses [BookNLP](https://github.com/DrewThomasson/booknlp) to analyze books, + identify characters and their dialog, then generates SML-tagged output with voice assignments. + + ### How it works: + 1. **Upload** a book file (.txt, .epub, .mobi, etc.) + 2. **Analyze** - BookNLP identifies characters, dialog, and narration + 3. **Assign voices** - Auto-assign from ebook2audiobook library + 4. **Generate** - Download SML output ready for ebook2audiobook + """ + ) + + with gr.Tab("📖 Process Book"): + with gr.Row(): + with gr.Column(scale=2): + input_file = gr.File( + label="📁 Upload Book File", + file_types=[".txt", ".epub", ".mobi", ".pdf", ".html", ".fb2", ".azw", ".azw3"], + type="filepath", + ) + with gr.Column(scale=1): + model_size = gr.Radio( + ["small", "big"], + value="small", + label="🧠 BookNLP Model", + info="'big' is more accurate but slower and requires more RAM/GPU", + ) + e2a_path = gr.Textbox( + label="📂 ebook2audiobook Path", + placeholder="/path/to/ebook2audiobook", + value=default_e2a_path, + info="Full path to your local ebook2audiobook folder (auto-detected by default)", + ) + + process_btn = gr.Button("🔍 Analyze Book", variant="primary", size="lg") + status_output = gr.Textbox(label="Status", interactive=False) + + with gr.Tab("👥 Characters & Voices"): + gr.Markdown( + "After analyzing a book, all detected characters are listed below with their " + "**inferred gender** and **age category** from BookNLP. Voices are auto-assigned " + "from the ebook2audiobook voice library. Select any character to change its voice." + ) + + char_table = gr.Dataframe( + headers=["Character", "Gender", "Age", "Assigned Voice"], + datatype=["str", "str", "str", "str"], + label="📋 Detected Characters", + interactive=False, + ) + + with gr.Group(visible=False) as char_voice_section: + gr.Markdown("### 🎤 Reassign Voice") + with gr.Row(): + with gr.Column(scale=1): + char_selector = gr.Dropdown( + label="Select Character", + choices=[], + interactive=True, + ) + char_detail = gr.Markdown("Select a character to see details.") + + with gr.Column(scale=1): + voice_selector = gr.Dropdown( + label="Select Voice", + choices=[], + interactive=True, + info="Pick a voice from the ebook2audiobook library", + ) + assign_btn = gr.Button("🎤 Assign Selected Voice", variant="primary") + assign_status = gr.Textbox(label="Status", interactive=False) + + with gr.Tab("📝 Preview & Generate"): + book_preview = gr.Textbox( + label="📖 Book Text Preview (BookNLP tagged)", + lines=15, + interactive=False, + ) + + generate_btn = gr.Button( + "🎵 Generate SML Output", + variant="primary", + size="lg", + visible=False, + ) + + gen_status = gr.Textbox(label="Generation Status", interactive=False) + sml_preview = gr.Textbox( + label="📄 SML Output Preview", + lines=15, + interactive=False, + ) + + with gr.Row(): + sml_download = gr.File(label="📥 Download SML Text (macro)", interactive=False) + deprecated_sml_download = gr.File(label="📥 Download Deprecated SML (path-based)", interactive=False) + macros_download = gr.File(label="📥 Download SML Macros JSON", interactive=False) + + # --- Wire up events --- + + # Process book → populate character table, dropdowns, and preview + process_btn.click( + fn=process_book, + inputs=[input_file, model_size, e2a_path], + outputs=[ + status_output, + char_table, + book_preview, + char_voice_section, + generate_btn, + char_selector, + voice_selector, + char_detail, + ], + ) + + # Selecting a character → show details and current voice + char_selector.change( + fn=on_char_selected, + inputs=[char_selector], + outputs=[char_detail, voice_selector], + ) + + # Assign voice from dropdown → update table and detail + assign_btn.click( + fn=reassign_voice, + inputs=[char_selector, voice_selector], + outputs=[char_table, assign_status, char_detail], + ) + + # Generate SML output + generate_btn.click( + fn=generate_output, + outputs=[gen_status, sml_preview, sml_download, deprecated_sml_download, macros_download], + ) + + return app + + +if __name__ == "__main__": + app = create_app() + app.launch(server_name="127.0.0.1", server_port=7861, theme=gr.themes.Soft()) diff --git a/components/Universal_TTS_Finetune/.gitignore b/components/Universal_TTS_Finetune/.gitignore new file mode 100644 index 0000000..cdf9ded --- /dev/null +++ b/components/Universal_TTS_Finetune/.gitignore @@ -0,0 +1,11 @@ +__pycache__/ +*.py[cod] +*.so +/venv/ +/finetune_models/ +/models/ +/test_out/ +test_transcript.json +.DS_Store +**/ .DS_Store +.venv/ diff --git a/components/Universal_TTS_Finetune/Dockerfile b/components/Universal_TTS_Finetune/Dockerfile new file mode 100644 index 0000000..ba5ea34 --- /dev/null +++ b/components/Universal_TTS_Finetune/Dockerfile @@ -0,0 +1,29 @@ +FROM python:3.12-slim + +WORKDIR /app + +# Install system dependencies for TTS and audio processing +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + git \ + ffmpeg \ + libsndfile1 \ + espeak-ng \ + && rm -rf /var/lib/apt/lists/* + +COPY requirements.txt . + +# Install python dependencies +RUN pip install --no-cache-dir -r requirements.txt + +# Copy the application files +COPY . . + +# Ensure models directory exists +RUN mkdir -p /app/models + +# Expose the Gradio port +EXPOSE 7862 + +# Run the Gradio demo by default +CMD ["python", "web_gui.py", "--port", "7862", "--out_path", "/app/finetune_models"] diff --git a/components/Universal_TTS_Finetune/LICENSE b/components/Universal_TTS_Finetune/LICENSE new file mode 100644 index 0000000..7fe2ff3 --- /dev/null +++ b/components/Universal_TTS_Finetune/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 Drew Thomasson + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/components/Universal_TTS_Finetune/README.md b/components/Universal_TTS_Finetune/README.md new file mode 100644 index 0000000..3a750dd --- /dev/null +++ b/components/Universal_TTS_Finetune/README.md @@ -0,0 +1,274 @@ +# Universal_TTS_Finetune + +Universal Coqui & Rhasspy Piper TTS fine-tuning workflow with: +- a Gradio web GUI +- a headless CLI +- LJSpeech-style dataset generation from your own audio +- optional automatic transcription with Whisper when transcripts are not provided +- quick post-training inference for the model you just trained + +## Supported models + +The current workflow targets the bundled `recipes/ljspeech` training recipes for these Coqui models: + +- Align TTS +- DelightfulTTS +- FastPitch +- FastSpeech +- FastSpeech 2 +- Glow-TTS +- NeuralHMM-TTS +- Overflow +- SpeedySpeech +- Tacotron2 Capacitron +- Tacotron2 DCA +- Tacotron2 DDC +- VITS +- XTTS v1 +- XTTS v2 +- Piper TTS (Rhasspy) + +When Coqui publishes a matching pretrained checkpoint, the trainer can auto-download it and continue from it. Otherwise the workflow still prepares the recipe workspace and can train from a user-supplied checkpoint or recipe defaults. + +## What it does + +### 1. Prepare a dataset + +Point the app at audio files or a folder of audio. + +- If you provide a transcript map (`csv`, `tsv`, `txt`, or `json`), it uses that text. +- **VTT Audio Slicing**: If you provide a `.vtt` file (along with the matching audiobook file, e.g. generated by `ebook2audiobook`), the tool parses the timestamps and slices the audio directly into perfectly formatted training data with 0% transcription errors and zero GPU/CPU transcription overhead. +- If you do not provide text or a VTT file, it transcribes with Whisper and chunks longer recordings into sentence-sized clips. +- **Speaker Diarization**: Optionally enable speaker diarization to separate multiple speakers into distinct datasets. This uses a high-performance **PyAnnote ResNet-34 VoxCeleb** speaker model (`pyannote/wespeaker-voxceleb-resnet34-LM`) to extract embeddings and group clips by voice. You can configure: + - **Expected Speakers**: Force the clustering into exactly N speaker folders. + - **Distance Threshold**: Fine-tune the sensitivity of auto-detecting speakers when expected speakers is set to 0. +- **Re-diarization**: Once a dataset has been prepared, the original mixed audio clips are preserved. You can re-diarize the dataset with new speaker counts or thresholds via the web GUI without re-running the slow Whisper transcription step. +- It writes an LJSpeech-style dataset under: + +```text +/dataset/LJSpeech-1.1/ +``` + +including: +- `wavs/` +- `metadata.csv` +- `metadata_shuf.csv` +- `metadata_train.csv` +- `metadata_val.csv` +- `dataset_info.json` + +### 2. Train or fine-tune a model + +Pick one of the supported Coqui recipes, then train from the GUI or CLI. + +Training artifacts are written under: + +```text +/training_runs///ready/ +``` + +with an `artifacts.json` file that the GUI and CLI can load later. + +### 3. Test the trained model + +After training, load the generated `artifacts.json` (or the training folder) and synthesize test audio. + +- XTTS models use a speaker reference WAV. +- Single-speaker recipe models synthesize directly. + +## Install + +Install the required dependencies using pip: + +```bash +git clone https://github.com/DrewThomasson/ebook2audiobook.git +cd ebook2audiobook +./ebook2audiobook.command #Mac/Linux or ebook2audiobook.cmd #Window | locally install ebook2audiobook first +conda activate ./python_env # Activate the created python env for E2A +cd components/Universal_TTS_Finetune # Go into Universal_TTS_Finetune dir +``` + +## Run the web GUI + +Run the application directly with Python: + +```bash +python web_gui.py --port 7862 --out_path /absolute/path/to/output +``` + +## Run with Docker + +To run the application using Docker, simply use `docker-compose`. This handles installing all system dependencies and setting up GPU support automatically: + +```bash +docker-compose up --build +``` + +The application will be available at `http://localhost:7862`. + +## Headless CLI + +*Note: By default, the training commands (`train` and `workflow`) will stream live training logs to your console so you can see progress in real time. If you prefer to suppress this output (e.g., when running in a background job), you can pass the `--no-stream-logs` flag.* + +List models: + +```bash +python headless_cli.py list-models +``` + +Prepare a dataset from a folder of audio and auto-transcribe with Whisper: + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-dir /absolute/path/to/audio \ + --language en \ + --whisper-model small \ + --diarize-speakers +``` + +*Note: The `--diarize-speakers` flag is optional. If provided, the pipeline will extract speaker embeddings using a pre-trained **PyAnnote ResNet-34** speaker model and cluster them by distinct speakers. You can optionally specify `--expected-speakers ` to cluster into exactly that many speakers, or adjust `--diarize-threshold ` to control auto-detection sensitivity. It will output separate datasets (e.g., `dataset/LJSpeech-1.1_Speaker_1/`) and default to returning the speaker with the most training data.* + +Prepare a dataset using an existing transcript file: + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-dir /absolute/path/to/audio \ + --transcript-file /absolute/path/to/metadata.csv +``` + +Prepare a dataset from an audiobook and `.vtt` alignment file (e.g. from `ebook2audiobook` outputs): + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-file /absolute/path/to/audiobook.mp3 \ + --transcript-file /absolute/path/to/alignment.vtt +``` + +Prepare a dataset from an audiobook and ePUB/text using **Forced Alignment** (bypasses Whisper transcription entirely): + +1. Convert your ePUB chapter/book to a plain text `.txt` file (e.g. using Calibre). +2. Run the aligner by passing exactly 1 audio file (e.g. a chapter) and the `.txt` file: + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-file /absolute/path/to/chapter1.mp3 \ + --transcript-file /absolute/path/to/chapter1_transcript.txt \ + --language en +``` + +* **Automatic Sentence Splitting**: By default, the pipeline automatically splits paragraphs/blocks of text into individual sentences (using multilingual quote-aware regular expressions) to ensure optimal audio slice lengths (1-12s) for TTS training. +* **Custom Sentence Line Formatting**: If you have manually formatted your text file to have one sentence per line and want to bypass the automatic splitting, pass the `--no-auto-split-sentences` CLI flag (or uncheck **Auto-split sentences for forced alignment** in the Web GUI): + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-file /absolute/path/to/chapter1.mp3 \ + --transcript-file /absolute/path/to/chapter1_transcript.txt \ + --language en \ + --no-auto-split-sentences +``` + +Prepare a dataset by automatically matching local transcript files in a folder: + +If you point the tool to a folder containing multiple audio files (using `--audio-dir`) and do **not** supply a global `--transcript-file`, the system will automatically scan the folder. For each audio file: +* If a matching `.vtt` file exists (e.g., `chapter1.mp3` and `chapter1.vtt`), it slices using those timestamps. +* If a matching `.txt` file exists (e.g., `chapter2.mp3` and `chapter2.txt`), it automatically runs Forced Alignment on it first and then slices it. +* If no matching transcript is found (e.g., `chapter3.mp3`), it alerts the user and automatically falls back to transcribing using Whisper. + +All generated slices from all chapters are merged into the final dataset automatically. + +```bash +python headless_cli.py prepare-dataset \ + --output-root /absolute/path/to/output \ + --audio-dir /absolute/path/to/mixed_audio_folder \ + --language de +``` + +Dry-run a training workspace: + +```bash +python headless_cli.py train \ + --model xtts_v2 \ + --output-root /absolute/path/to/output \ + --dry-run +``` + +Train a model: + +```bash +python headless_cli.py train \ + --model glow_tts \ + --output-root /absolute/path/to/output \ + --epochs 50 \ + --batch-size 16 +``` + +Run the whole workflow in one command: + +```bash +python headless_cli.py workflow \ + --model xtts_v2 \ + --output-root /absolute/path/to/output \ + --audio-dir /absolute/path/to/audio \ + --language en \ + --test-text "This is a quick validation sample." +``` + +Test all supported models sequentially on a dataset, saving sample audio and discarding the checkpoints to save space: + +```bash +python headless_cli.py batch-test \ + --output-root /absolute/path/to/output \ + --audio-dir /absolute/path/to/audio \ + --language en \ + --discard-models \ + --auto-calculate-epochs \ + --diarize-speakers +``` + +*Note: The `--auto-calculate-epochs` flag ignores the `--epochs` argument and dynamically computes the optimal number of epochs for each model family (e.g., targeting 1,500 steps for XTTS and 15,000 steps for Tacotron2) based on the exact size of your provided dataset.* + +Generate speech from the newest trained model: + +```bash +python headless_cli.py synthesize \ + --artifacts /absolute/path/to/output \ + --model xtts_v2 \ + --text "Testing the fine-tuned voice." \ + --language en +``` + +## Early Stopping and Exporting Checkpoints (Ctrl+C Support) + +During long training runs (especially on CPU-only machines), you can stop the training early once you are satisfied with the generated voice quality. + +1. **Listen to samples:** By running training with `--sample-epoch-interval ` (e.g. `1` or `5`), the trainer will automatically write periodic audio samples inside `/epoch_samples/`. +2. **Stop early:** Press `Ctrl+C` to terminate the training process. PyTorch Lightning automatically saves intermediate model checkpoints (`.ckpt` files) at the end of every epoch. +3. **Export and package:** Since the training run was interrupted, it will not have automatically packaged the final model. You can run the included helper script `export_checkpoint.py` to manually package your latest checkpoint (converts to ONNX for Piper, or optimizes and copies `.pth` files for Coqui/XTTS): + +```bash +python export_checkpoint.py /path/to/your/training_run/ +``` + +This will create a `ready/` directory inside your training run with `model.onnx` and `artifacts.json`, making it immediately loadable inside the web GUI or CLI. + +## Transcript file formats + +Accepted transcript formats: +- `vtt` WebVTT alignment file (e.g. from `ebook2audiobook`) +- `json` dictionary or list of objects +- `csv` +- `tsv` +- pipe-delimited text + +The audio key can be an absolute path, file name, or stem. The text field can be named `text`, `transcript`, `sentence`, or `utterance`. + +## Notes + +- The workflow automatically uses CUDA when available and falls back to CPU otherwise. +- XTTS models are the best option when you need multilingual fine-tuning or speaker-conditioned inference. +- Some upstream Coqui recipes still depend on recipe-specific assumptions. If you need deeper tuning, use the `extra_overrides_json` field/flag to override recipe values before launch. diff --git a/components/Universal_TTS_Finetune/docker-compose.yml b/components/Universal_TTS_Finetune/docker-compose.yml new file mode 100644 index 0000000..4c7105d --- /dev/null +++ b/components/Universal_TTS_Finetune/docker-compose.yml @@ -0,0 +1,20 @@ +version: '3.8' + +services: + universal-tts: + build: . + ports: + - "7862:7862" + volumes: + - ./models:/app/models + - ./finetune_models:/app/finetune_models + # Mount your audio inputs here to access them in the container + - ./audio_data:/app/audio_data + # Enable GPU support if you have an NVIDIA GPU and nvidia-container-toolkit installed + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: all + capabilities: [gpu] diff --git a/components/Universal_TTS_Finetune/export_checkpoint.py b/components/Universal_TTS_Finetune/export_checkpoint.py new file mode 100644 index 0000000..cbf0572 --- /dev/null +++ b/components/Universal_TTS_Finetune/export_checkpoint.py @@ -0,0 +1,98 @@ +import sys +import json +from pathlib import Path +import shutil + +# Make sure we can import from tools/Universal_TTS_Finetune +_DIR = Path(__file__).resolve().parent +sys.path.insert(0, str(_DIR)) + +from utils.piper_utils import export_piper_onnx +from utils.pipeline import _latest_matching_file, _finalize_training_artifacts + +def main(): + if len(sys.argv) < 2: + print("Usage: python export_checkpoint.py ") + sys.exit(1) + + run_dir = Path(sys.argv[1]).resolve() + if not run_dir.exists(): + print(f"Error: Run directory {run_dir} does not exist.") + sys.exit(1) + + # Check what kind of files are inside to auto-detect model type + # Piper uses Lightning (.ckpt), Coqui uses standard PyTorch (.pth) + has_ckpt = list(run_dir.glob("**/*.ckpt")) or list(run_dir.glob("*.ckpt")) + has_pth = list(run_dir.glob("**/*.pth")) or list(run_dir.glob("*.pth")) + + # Try to infer model key from folder name: training_runs// + model_key = run_dir.parent.name + + if has_ckpt and (not has_pth or model_key == "piper"): + print("Detected model family: Piper (ONNX format)") + + preprocessed_dir = run_dir / "preprocessed" + config_path = preprocessed_dir / "config.json" + if not config_path.exists(): + print(f"Error: config.json not found under {preprocessed_dir}") + sys.exit(1) + + lightning_logs_dir = preprocessed_dir / "lightning_logs" + trained_ckpt = _latest_matching_file(lightning_logs_dir, ["**/*.ckpt", "*.ckpt"]) + if not trained_ckpt: + trained_ckpt = _latest_matching_file(run_dir, ["**/*.ckpt", "*.ckpt"]) + + if not trained_ckpt: + print(f"Error: No .ckpt file found in {run_dir}") + sys.exit(1) + + print(f"Using checkpoint: {trained_ckpt}") + + ready_dir = run_dir / "ready" + ready_dir.mkdir(parents=True, exist_ok=True) + ready_onnx = ready_dir / "model.onnx" + + print("Exporting to ONNX...") + export_piper_onnx(trained_ckpt, ready_onnx, config_path) + + log_path = run_dir / "training.log" + artifacts = { + "model_key": "piper", + "model_label": "Piper TTS", + "family": "piper", + "training_root": str(run_dir), + "dataset_dir": "", + "checkpoint": str(ready_onnx), + "config": str(ready_onnx) + ".json", + "reference_wav": "", + "log_path": str(log_path) if log_path.exists() else "", + "unused_overrides": {}, + } + + artifacts_path = ready_dir / "artifacts.json" + artifacts_path.write_text(json.dumps(artifacts, indent=2), encoding="utf-8") + print("Successfully exported model and wrote artifacts.json!") + + elif has_pth: + print(f"Detected model family: Coqui PTH (Model key inferred: {model_key})") + + # Use pipeline's built-in finalizer for Coqui models (which handles XTTS optimizations too) + try: + artifacts = _finalize_training_artifacts( + spec_key=model_key, + training_root=run_dir, + dataset_dir=Path(""), + reference_wav="" + ) + print("Successfully packaged Coqui checkpoint and wrote artifacts.json!") + except Exception as e: + print(f"Error finalizing Coqui artifacts: {e}") + sys.exit(1) + else: + print("Error: Could not find any .ckpt or .pth files to export.") + sys.exit(1) + + print(f"You can now test this model in the GUI or via: python headless_cli.py synthesize --artifacts {run_dir}/ready --text '...' --model {model_key}") + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/finetune.sh b/components/Universal_TTS_Finetune/finetune.sh new file mode 100644 index 0000000..55274bf --- /dev/null +++ b/components/Universal_TTS_Finetune/finetune.sh @@ -0,0 +1,17 @@ +#!/usr/bin/env bash +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" >/dev/null 2>&1 && pwd -P)" +PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." >/dev/null 2>&1 && pwd -P)" + +# Automatically find the nvidia CUDA runtime libs in the virtual environment +NVIDIA_DIR=$(find "$PROJECT_ROOT/python_env" -type d -path "*/nvidia/cu[0-9]*/lib" -print -quit) +if [[ -n "$NVIDIA_DIR" ]]; then + export LD_LIBRARY_PATH="$NVIDIA_DIR:${LD_LIBRARY_PATH:-}" +fi + +# Ignore conflicting local user-site packages +export PYTHONNOUSERSITE=1 + +# Execute the headless CLI using the virtualenv python interpreter +exec "$PROJECT_ROOT/python_env/bin/python" "$SCRIPT_DIR/headless_cli.py" "$@" diff --git a/components/Universal_TTS_Finetune/headless_cli.py b/components/Universal_TTS_Finetune/headless_cli.py new file mode 100644 index 0000000..30d26f1 --- /dev/null +++ b/components/Universal_TTS_Finetune/headless_cli.py @@ -0,0 +1,376 @@ +from __future__ import annotations + +# Patch pkgutil.ImpImporter and importlib.machinery.FileFinder.find_module for Python 3.12 compatibility with older pkg_resources / setuptools +import pkgutil +import importlib.machinery + +if not hasattr(pkgutil, "ImpImporter"): + class DummyImpImporter: + pass + pkgutil.ImpImporter = DummyImpImporter + +if not hasattr(importlib.machinery.FileFinder, "find_module"): + def find_module_shim(self, fullname, path=None): + spec = self.find_spec(fullname, path) + return spec.loader if spec is not None else None + importlib.machinery.FileFinder.find_module = find_module_shim + +# Patch PyTorch 2.6+ to default to weights_only=False in torch.load for compatibility with older checkpoints +try: + import torch + if hasattr(torch, "load"): + original_load = torch.load + def patched_load(*args, **kwargs): + if "weights_only" not in kwargs: + kwargs["weights_only"] = False + return original_load(*args, **kwargs) + torch.load = patched_load +except ImportError: + pass + +import argparse +import json + +from utils.pipeline import ( + default_test_output, + dropdown_choices, + find_latest_artifacts, + list_supported_models, + load_artifacts, + prepare_dataset, + synthesize, + train_model, + _json_ready, +) + + +def _print_json(payload: dict) -> None: + print(json.dumps(payload, indent=2, ensure_ascii=False)) + + +def _calculate_viable_epochs(model_key: str, sample_count: int, batch_size: int) -> int: + steps_per_epoch = max(1, sample_count // batch_size) + + if model_key.startswith("xtts_"): + target_steps = 1500 + elif model_key in ["tacotron2_capacitron", "tacotron2_dca", "tacotron2_ddc", "fast_pitch", "fast_speech", "fastspeech2"]: + target_steps = 15000 + else: + # VITS, Glow-TTS, Align TTS, DelightfulTTS, SpeedySpeech, Overflow, NeuralHMM-TTS + target_steps = 10000 + + return max(1, target_steps // steps_per_epoch) + + +def _build_parser() -> argparse.ArgumentParser: + parser = argparse.ArgumentParser(description="Headless workflow for Universal Coqui TTS fine-tuning.") + subparsers = parser.add_subparsers(dest="command", required=True) + + subparsers.add_parser("list-models", help="List supported training recipes.") + + prepare = subparsers.add_parser("prepare-dataset", help="Build an LJSpeech-style dataset from audio files.") + prepare.add_argument("--output-root", required=True) + prepare.add_argument("--audio-dir") + prepare.add_argument("--audio-file", action="append", default=[]) + prepare.add_argument("--transcript-file") + prepare.add_argument("--language", default="en") + prepare.add_argument("--whisper-model", default="small") + prepare.add_argument("--eval-percentage", type=float, default=0.15) + prepare.add_argument("--min-segment-seconds", type=float, default=0.5) + prepare.add_argument("--max-segment-seconds", type=float, default=12.0) + prepare.add_argument("--segment-buffer-seconds", type=float, default=0.2) + prepare.add_argument("--diarize-speakers", action="store_true", help="Automatically cluster audio into separate speaker datasets") + prepare.add_argument("--expected-speakers", type=int, default=0, help="Expected number of speaker clusters (0 to auto-detect based on threshold)") + prepare.add_argument("--diarize-threshold", type=float, default=0.3, help="Distance threshold for speaker clustering auto-detection (used if expected-speakers is 0)") + prepare.add_argument("--no-auto-split-sentences", dest="auto_split_sentences", action="store_false", help="Disable automatic sentence splitting for forced alignment") + prepare.set_defaults(auto_split_sentences=True) + + train = subparsers.add_parser("train", help="Train or fine-tune a selected Coqui recipe.") + train.add_argument("--model", required=True, choices=[key for key, _ in dropdown_choices()]) + train.add_argument("--output-root", required=True) + train.add_argument("--dataset-dir") + train.add_argument("--language", default="en") + train.add_argument("--epochs", type=int, default=10) + train.add_argument("--batch-size", type=int, default=8) + train.add_argument("--grad-accum", type=int, default=1) + train.add_argument("--max-audio-seconds", type=int, default=11) + train.add_argument("--restore-path") + train.add_argument("--extra-overrides-json") + train.add_argument("--no-pretrained", action="store_true") + train.add_argument("--dry-run", action="store_true") + train.add_argument("--no-stream-logs", action="store_true", help="Disable streaming of training logs to the console") + train.add_argument("--sample-epoch-interval", type=int, default=0, help="Generate and save an audio sample every N epochs. Set to 0 to disable.") + train.add_argument("--sample-text", default="", help="Text sentence to synthesize at each interval.") + + infer = subparsers.add_parser("synthesize", help="Generate speech from the latest or selected trained model.") + infer.add_argument("--artifacts", required=True, help="Path to artifacts.json, a ready/ folder, or an output root.") + infer.add_argument("--model") + infer.add_argument("--text", required=True) + infer.add_argument("--language", default="en") + infer.add_argument("--speaker-wav") + infer.add_argument("--output-file") + + workflow = subparsers.add_parser("workflow", help="Prepare dataset, train, and optionally synthesize in one command.") + workflow.add_argument("--model", required=True, choices=[key for key, _ in dropdown_choices()]) + workflow.add_argument("--output-root", required=True) + workflow.add_argument("--audio-dir") + workflow.add_argument("--audio-file", action="append", default=[]) + workflow.add_argument("--transcript-file") + workflow.add_argument("--language", default="en") + workflow.add_argument("--whisper-model", default="small") + workflow.add_argument("--epochs", type=int, default=10) + workflow.add_argument("--batch-size", type=int, default=8) + workflow.add_argument("--grad-accum", type=int, default=1) + workflow.add_argument("--max-audio-seconds", type=int, default=11) + workflow.add_argument("--restore-path") + workflow.add_argument("--extra-overrides-json") + workflow.add_argument("--no-pretrained", action="store_true") + workflow.add_argument("--test-text") + workflow.add_argument("--speaker-wav") + workflow.add_argument("--output-file") + workflow.add_argument("--no-stream-logs", action="store_true", help="Disable streaming of training logs to the console") + workflow.add_argument("--diarize-speakers", action="store_true", help="Automatically cluster audio into separate speaker datasets") + workflow.add_argument("--expected-speakers", type=int, default=0, help="Expected number of speaker clusters (0 to auto-detect based on threshold)") + workflow.add_argument("--diarize-threshold", type=float, default=0.3, help="Distance threshold for speaker clustering auto-detection (used if expected-speakers is 0)") + workflow.add_argument("--sample-epoch-interval", type=int, default=0, help="Generate and save an audio sample every N epochs. Set to 0 to disable.") + workflow.add_argument("--sample-text", default="", help="Text sentence to synthesize at each interval.") + workflow.add_argument("--no-auto-split-sentences", dest="auto_split_sentences", action="store_false", help="Disable automatic sentence splitting for forced alignment") + workflow.set_defaults(auto_split_sentences=True) + + batch_test = subparsers.add_parser("batch-test", help="Test all supported models sequentially on the same dataset.") + batch_test.add_argument("--output-root", required=True) + batch_test.add_argument("--audio-dir") + batch_test.add_argument("--audio-file", action="append", default=[]) + batch_test.add_argument("--transcript-file") + batch_test.add_argument("--language", default="en") + batch_test.add_argument("--whisper-model", default="small") + batch_test.add_argument("--epochs", type=int, default=1) + batch_test.add_argument("--batch-size", type=int, default=8) + batch_test.add_argument("--grad-accum", type=int, default=1) + batch_test.add_argument("--max-audio-seconds", type=int, default=11) + batch_test.add_argument("--test-text", default="This is a quick validation sample from the batch test.") + batch_test.add_argument("--discard-models", action="store_true", help="Delete model checkpoints after generating sample audio to save space.") + batch_test.add_argument("--auto-calculate-epochs", action="store_true", help="Automatically calculate viable epochs based on dataset size and model architecture.") + batch_test.add_argument("--diarize-speakers", action="store_true", help="Automatically cluster audio into separate speaker datasets") + batch_test.add_argument("--expected-speakers", type=int, default=0, help="Expected number of speaker clusters (0 to auto-detect based on threshold)") + batch_test.add_argument("--diarize-threshold", type=float, default=0.3, help="Distance threshold for speaker clustering auto-detection (used if expected-speakers is 0)") + batch_test.add_argument("--no-stream-logs", action="store_true", help="Disable streaming of training logs to the console") + batch_test.add_argument("--extra-overrides-json") + batch_test.add_argument("--no-auto-split-sentences", dest="auto_split_sentences", action="store_false", help="Disable automatic sentence splitting for forced alignment") + batch_test.set_defaults(auto_split_sentences=True) + + latest = subparsers.add_parser("latest-artifacts", help="Resolve the newest trained model artifacts.") + latest.add_argument("--output-root", required=True) + latest.add_argument("--model") + return parser + + +def main() -> None: + parser = _build_parser() + args = parser.parse_args() + + if args.command == "list-models": + _print_json({"models": list_supported_models()}) + return + + if args.command == "prepare-dataset": + result = prepare_dataset( + output_root=args.output_root, + audio_dir=args.audio_dir, + audio_files=args.audio_file, + transcript_file=args.transcript_file, + language=args.language, + whisper_model_name=args.whisper_model, + eval_percentage=args.eval_percentage, + min_segment_seconds=args.min_segment_seconds, + max_segment_seconds=args.max_segment_seconds, + segment_buffer_seconds=args.segment_buffer_seconds, + diarize_speakers=args.diarize_speakers, + expected_speakers=args.expected_speakers, + diarize_threshold=args.diarize_threshold, + auto_split_sentences=args.auto_split_sentences, + ) + _print_json(result) + return + + if args.command == "train": + result = train_model( + model_key=args.model, + output_root=args.output_root, + dataset_dir=args.dataset_dir, + language=args.language, + epochs=args.epochs, + batch_size=args.batch_size, + grad_accum=args.grad_accum, + max_audio_seconds=args.max_audio_seconds, + restore_path=args.restore_path, + use_pretrained=not args.no_pretrained, + extra_overrides_json=args.extra_overrides_json, + dry_run=args.dry_run, + stream_logs=not args.no_stream_logs, + sample_epoch_interval=args.sample_epoch_interval, + sample_text=args.sample_text, + ) + _print_json(result) + return + + if args.command == "synthesize": + artifacts = load_artifacts(args.artifacts, model_key=args.model) + output_file = args.output_file or default_test_output(artifacts["training_root"]) + result = synthesize( + artifacts_path_or_dir=artifacts["artifacts_file"], + model_key=args.model, + text=args.text, + language=args.language, + speaker_wav=args.speaker_wav, + output_file=output_file, + ) + _print_json(result) + return + + if args.command == "workflow": + dataset = prepare_dataset( + output_root=args.output_root, + audio_dir=args.audio_dir, + audio_files=args.audio_file, + transcript_file=args.transcript_file, + language=args.language, + whisper_model_name=args.whisper_model, + diarize_speakers=args.diarize_speakers, + expected_speakers=args.expected_speakers, + diarize_threshold=args.diarize_threshold, + auto_split_sentences=args.auto_split_sentences, + ) + training = train_model( + model_key=args.model, + output_root=args.output_root, + dataset_dir=dataset["dataset_dir"], + language=args.language, + epochs=args.epochs, + batch_size=args.batch_size, + grad_accum=args.grad_accum, + max_audio_seconds=args.max_audio_seconds, + restore_path=args.restore_path, + use_pretrained=not args.no_pretrained, + extra_overrides_json=args.extra_overrides_json, + stream_logs=not args.no_stream_logs, + sample_epoch_interval=args.sample_epoch_interval, + sample_text=args.sample_text, + ) + payload = {"dataset": dataset, "training": training} + if args.test_text: + payload["synthesis"] = synthesize( + artifacts_path_or_dir=training["training_root"], + model_key=args.model, + text=args.test_text, + language=args.language, + speaker_wav=args.speaker_wav, + output_file=args.output_file or default_test_output(args.output_root), + ) + _print_json(payload) + return + + if args.command == "batch-test": + dataset = prepare_dataset( + output_root=args.output_root, + audio_dir=args.audio_dir, + audio_files=args.audio_file, + transcript_file=args.transcript_file, + language=args.language, + whisper_model_name=args.whisper_model, + diarize_speakers=args.diarize_speakers, + expected_speakers=args.expected_speakers, + diarize_threshold=args.diarize_threshold, + auto_split_sentences=args.auto_split_sentences, + ) + + import shutil + from pathlib import Path + import traceback + + batch_results_dir = Path(args.output_root) / "batch_results" + batch_results_dir.mkdir(parents=True, exist_ok=True) + + results = {"dataset": dataset, "models": {}} + sample_count = dataset.get("created_sample_count", 0) + + for model_key, model_label in dropdown_choices(): + print(f"\n==================================================") + print(f"Batch testing: {model_label} ({model_key})") + print(f"==================================================\n") + + if args.auto_calculate_epochs and sample_count > 0: + current_epochs = _calculate_viable_epochs(model_key, sample_count, args.batch_size) + print(f"Auto-calculated epochs for {model_label}: {current_epochs} (Dataset clips: {sample_count}, Batch size: {args.batch_size})") + else: + current_epochs = args.epochs + + try: + training = train_model( + model_key=model_key, + output_root=args.output_root, + dataset_dir=dataset["dataset_dir"], + language=args.language, + epochs=current_epochs, + batch_size=args.batch_size, + grad_accum=args.grad_accum, + max_audio_seconds=args.max_audio_seconds, + restore_path=None, + use_pretrained=True, + extra_overrides_json=args.extra_overrides_json, + stream_logs=not args.no_stream_logs, + ) + + output_wav = batch_results_dir / f"{model_key}.wav" + + synthesis = synthesize( + artifacts_path_or_dir=training["training_root"], + model_key=model_key, + text=args.test_text, + language=args.language, + speaker_wav=None, + output_file=str(output_wav), + ) + + results["models"][model_key] = { + "status": "success", + "training": training, + "synthesis": synthesis, + "sample_audio": str(output_wav) + } + + if args.discard_models: + print(f"Discarding model artifacts for {model_key} to save space...") + + # Preserve the log file before deleting + log_file = Path(training["training_root"]) / "training.log" + if log_file.exists(): + dest_log = batch_results_dir / f"{model_key}_training.log" + shutil.copy2(log_file, dest_log) + + shutil.rmtree(training["training_root"], ignore_errors=True) + results["models"][model_key]["discarded"] = True + + except Exception as e: + print(f"FAILED to test {model_key}: {e}") + traceback.print_exc() + results["models"][model_key] = { + "status": "error", + "error_message": str(e) + } + + # Save the full batch summary to a file + summary_path = batch_results_dir / "batch_summary.json" + summary_path.write_text(json.dumps(_json_ready(results), indent=2, ensure_ascii=False), encoding="utf-8") + print(f"\nBatch test complete! Summary saved to: {summary_path}") + + _print_json(results) + return + + if args.command == "latest-artifacts": + _print_json(find_latest_artifacts(args.output_root, model_key=args.model)) + return + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/notebook/universal_tts_finetune_webui.ipynb b/components/Universal_TTS_Finetune/notebook/universal_tts_finetune_webui.ipynb new file mode 100644 index 0000000..13460cc --- /dev/null +++ b/components/Universal_TTS_Finetune/notebook/universal_tts_finetune_webui.ipynb @@ -0,0 +1,222 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Welcome to the **Universal TTS Fine-tune WebUI** (XTTS & Piper)!\n", + "\n", + "This Jupyter Notebook allows you to easily run the fine-tuning interface on Google Colab with GPU acceleration enabled. It supports fine-tuning both **Coqui XTTS v2** and **Piper** models, speech dataset preprocessing, and inference testing.\n", + "\n", + "For documentation and local installation guide, visit the repository at: https://github.com/DrewThomasson/Universal_TTS_Finetune" + ], + "metadata": { + "id": "welcome-header" + } + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "cellView": "form", + "id": "install-requirements" + }, + "outputs": [], + "source": [ + "# @title \ud83d\udee0\ufe0f Install Requirements\n", + "try:\n", + " import google.colab\n", + " in_colab = True\n", + "except ImportError:\n", + " in_colab = False\n", + "\n", + "if in_colab:\n", + " print(\"Running on Google Colab. Installing system dependencies...\")\n", + " !sudo apt-get update\n", + " !sudo apt-get -y install libegl1 libopengl0 libxcb-cursor0 espeak-ng libsndfile1\n", + " !pip install -r https://raw.githubusercontent.com/DrewThomasson/Universal_TTS_Finetune/main/requirements.txt\n", + "else:\n", + " print(\"Running locally. Make sure you install requirements.txt in your environment:\")\n", + " print(\"pip install -r requirements.txt\")\n" + ] + }, + { + "cell_type": "code", + "source": [ + "# @title \ud83d\ude80 Run Web Interface\n", + "try:\n", + " import google.colab\n", + " in_colab = True\n", + "except ImportError:\n", + " in_colab = False\n", + "\n", + "import os\n", + "\n", + "if in_colab:\n", + " # @markdown Specify whether you want to save datasets and models directly to Google Drive to prevent losing them when the session terminates.\n", + " use_google_drive = True # @param {type:\"boolean\"}\n", + " google_drive_path = \"/content/drive/MyDrive/Universal_TTS_Finetune\" # @param {type:\"string\"}\n", + "\n", + " if use_google_drive:\n", + " from google.colab import drive\n", + " print(\" mounting Google Drive...\")\n", + " drive.mount('/content/drive')\n", + " out_path = google_drive_path\n", + " os.makedirs(out_path, exist_ok=True)\n", + " else:\n", + " out_path = \"/content/Universal_TTS_Finetune/finetune_models\"\n", + "\n", + " print(f\"Outputs will be saved to: {out_path}\")\n", + "\n", + " %cd /content/\n", + " if not os.path.exists('/content/Universal_TTS_Finetune'):\n", + " print(\"Cloning repository...\")\n", + " !git clone https://github.com/DrewThomasson/Universal_TTS_Finetune.git\n", + " else:\n", + " print(\"Repository already exists, pulling latest changes...\")\n", + " %cd /content/Universal_TTS_Finetune\n", + " !git pull\n", + " %cd /content/Universal_TTS_Finetune\n", + "else:\n", + " out_path = \"./finetune_models\"\n", + " print(f\"Running locally. Outputs will be saved to: {out_path}\")\n", + "\n", + "!python web_gui.py --share --out_path \"{out_path}\"\n" + ], + "metadata": { + "cellView": "form", + "id": "run-interface" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# @title \ud83d\udce6 Zip and Upload Fine-tuned Models\n", + "# @markdown Note: If you used Google Drive, your files are already safe. Use this cell to create a quick shareable download link via file.io.\n", + "try:\n", + " import google.colab\n", + " in_colab = True\n", + "except ImportError:\n", + " in_colab = False\n", + "\n", + "import shutil\n", + "import requests\n", + "import os\n", + "from tqdm import tqdm\n", + "\n", + "# Define the paths\n", + "try:\n", + " base_out = out_path\n", + "except NameError:\n", + " if in_colab:\n", + " base_out = '/content/Universal_TTS_Finetune/finetune_models'\n", + " else:\n", + " base_out = './finetune_models'\n", + "\n", + "finetune_dir = os.path.join(base_out, 'ready') # @param {type:\"string\"}\n", + "dataset_dir = os.path.join(base_out, 'dataset') # @param {type:\"string\"}\n", + "\n", + "# Create a temporary directory to collect both folders before zipping\n", + "if in_colab:\n", + " temp_dir = \"/content/temp_finetune_dataset\"\n", + " zip_filename = \"/content/finetune_and_dataset.zip\"\n", + "else:\n", + " temp_dir = \"./temp_finetune_dataset\"\n", + " zip_filename = \"./finetune_and_dataset.zip\"\n", + "\n", + "if os.path.exists(temp_dir):\n", + " shutil.rmtree(temp_dir)\n", + "os.makedirs(temp_dir, exist_ok=True)\n", + "\n", + "# Copy both directories into the temporary directory with a progress bar\n", + "def copy_with_progress(src, dst):\n", + " if not os.path.exists(src):\n", + " print(f\"Warning: Path {src} does not exist. Skipping.\")\n", + " return\n", + " total_files = sum(len(files) for _, _, files in os.walk(src))\n", + " with tqdm(total=total_files, desc=f\"Copying {os.path.basename(src)}\") as pbar:\n", + " for root, _, files in os.walk(src):\n", + " rel_path = os.path.relpath(root, src)\n", + " target_path = os.path.join(dst, rel_path)\n", + " os.makedirs(target_path, exist_ok=True)\n", + " for file in files:\n", + " shutil.copy(os.path.join(root, file), target_path)\n", + " pbar.update(1)\n", + "\n", + "copy_with_progress(finetune_dir, os.path.join(temp_dir, \"ready\"))\n", + "copy_with_progress(dataset_dir, os.path.join(temp_dir, \"dataset\"))\n", + "\n", + "# Create a zip file of the combined directories with progress\n", + "if os.path.exists(zip_filename):\n", + " os.remove(zip_filename)\n", + "\n", + "zip_base = os.path.splitext(zip_filename)[0]\n", + "with tqdm(total=100, desc=\"Zipping files\") as pbar:\n", + " shutil.make_archive(zip_base, 'zip', root_dir=temp_dir)\n", + " pbar.update(100)\n", + "\n", + "# Define a function to stream the upload with a progress bar\n", + "def upload_with_progress(file_path, url):\n", + " file_size = os.path.getsize(file_path)\n", + " with open(file_path, 'rb') as f, tqdm(\n", + " total=file_size, unit='B', unit_scale=True, desc=\"Uploading\"\n", + " ) as progress:\n", + " response = requests.post(\n", + " url,\n", + " files={\"file\": (file_path, f)},\n", + " stream=True,\n", + " headers={\"Connection\": \"keep-alive\"},\n", + " )\n", + " for chunk in response.iter_content(chunk_size=4096):\n", + " if chunk:\n", + " progress.update(len(chunk))\n", + " return response\n", + "\n", + "# Upload the zip file to file.io with a progress bar\n", + "print(\"Uploading archive to file.io...\")\n", + "response = upload_with_progress(zip_filename, \"https://file.io/?expires=1d\")\n", + "\n", + "# Parse the response and display the download link\n", + "if response.status_code == 200:\n", + " download_link = response.json().get('link', 'Error: No link found.')\n", + " print(f\"Your file is ready: {download_link}\")\n", + "else:\n", + " print(f\"Failed to upload: {response.status_code} - {response.text}\")\n" + ], + "metadata": { + "cellView": "form", + "id": "zip-and-upload" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/components/Universal_TTS_Finetune/piper/LICENSE.md b/components/Universal_TTS_Finetune/piper/LICENSE.md new file mode 100644 index 0000000..9692f47 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/LICENSE.md @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2022 Michael Hansen + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/components/Universal_TTS_Finetune/piper/piper/__init__.py b/components/Universal_TTS_Finetune/piper/piper/__init__.py new file mode 100644 index 0000000..a331d29 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/__init__.py @@ -0,0 +1,5 @@ +from .voice import PiperVoice + +__all__ = [ + "PiperVoice", +] diff --git a/components/Universal_TTS_Finetune/piper/piper/__main__.py b/components/Universal_TTS_Finetune/piper/piper/__main__.py new file mode 100644 index 0000000..15109f8 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/__main__.py @@ -0,0 +1,159 @@ +import argparse +import logging +import sys +import time +import wave +from pathlib import Path +from typing import Any, Dict + +from . import PiperVoice +from .download import ensure_voice_exists, find_voice, get_voices + +_FILE = Path(__file__) +_DIR = _FILE.parent +_LOGGER = logging.getLogger(_FILE.stem) + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("-m", "--model", required=True, help="Path to Onnx model file") + parser.add_argument("-c", "--config", help="Path to model config file") + parser.add_argument( + "-f", + "--output-file", + "--output_file", + help="Path to output WAV file (default: stdout)", + ) + parser.add_argument( + "-d", + "--output-dir", + "--output_dir", + help="Path to output directory (default: cwd)", + ) + parser.add_argument( + "--output-raw", + "--output_raw", + action="store_true", + help="Stream raw audio to stdout", + ) + # + parser.add_argument("-s", "--speaker", type=int, help="Id of speaker (default: 0)") + parser.add_argument( + "--length-scale", "--length_scale", type=float, help="Phoneme length" + ) + parser.add_argument( + "--noise-scale", "--noise_scale", type=float, help="Generator noise" + ) + parser.add_argument( + "--noise-w", "--noise_w", type=float, help="Phoneme width noise" + ) + # + parser.add_argument("--cuda", action="store_true", help="Use GPU") + # + parser.add_argument( + "--sentence-silence", + "--sentence_silence", + type=float, + default=0.0, + help="Seconds of silence after each sentence", + ) + # + parser.add_argument( + "--data-dir", + "--data_dir", + action="append", + default=[str(Path.cwd())], + help="Data directory to check for downloaded models (default: current directory)", + ) + parser.add_argument( + "--download-dir", + "--download_dir", + help="Directory to download voices into (default: first data dir)", + ) + # + parser.add_argument( + "--update-voices", + action="store_true", + help="Download latest voices.json during startup", + ) + # + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to console" + ) + args = parser.parse_args() + logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO) + _LOGGER.debug(args) + + if not args.download_dir: + # Download to first data directory by default + args.download_dir = args.data_dir[0] + + # Download voice if file doesn't exist + model_path = Path(args.model) + if not model_path.exists(): + # Load voice info + voices_info = get_voices(args.download_dir, update_voices=args.update_voices) + + # Resolve aliases for backwards compatibility with old voice names + aliases_info: Dict[str, Any] = {} + for voice_info in voices_info.values(): + for voice_alias in voice_info.get("aliases", []): + aliases_info[voice_alias] = {"_is_alias": True, **voice_info} + + voices_info.update(aliases_info) + ensure_voice_exists(args.model, args.data_dir, args.download_dir, voices_info) + args.model, args.config = find_voice(args.model, args.data_dir) + + # Load voice + voice = PiperVoice.load(args.model, config_path=args.config, use_cuda=args.cuda) + synthesize_args = { + "speaker_id": args.speaker, + "length_scale": args.length_scale, + "noise_scale": args.noise_scale, + "noise_w": args.noise_w, + "sentence_silence": args.sentence_silence, + } + + if args.output_raw: + # Read line-by-line + for line in sys.stdin: + line = line.strip() + if not line: + continue + + # Write raw audio to stdout as its produced + audio_stream = voice.synthesize_stream_raw(line, **synthesize_args) + for audio_bytes in audio_stream: + sys.stdout.buffer.write(audio_bytes) + sys.stdout.buffer.flush() + elif args.output_dir: + output_dir = Path(args.output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + + # Read line-by-line + for line in sys.stdin: + line = line.strip() + if not line: + continue + + wav_path = output_dir / f"{time.monotonic_ns()}.wav" + with wave.open(str(wav_path), "wb") as wav_file: + voice.synthesize(line, wav_file, **synthesize_args) + + _LOGGER.info("Wrote %s", wav_path) + else: + # Read entire input + text = sys.stdin.read() + + if (not args.output_file) or (args.output_file == "-"): + # Write to stdout + with wave.open(sys.stdout.buffer, "wb") as wav_file: + voice.synthesize(text, wav_file, **synthesize_args) + else: + # Write to file + with wave.open(args.output_file, "wb") as wav_file: + voice.synthesize(text, wav_file, **synthesize_args) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper/config.py b/components/Universal_TTS_Finetune/piper/piper/config.py new file mode 100644 index 0000000..afda572 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/config.py @@ -0,0 +1,53 @@ +"""Piper configuration""" +from dataclasses import dataclass +from enum import Enum +from typing import Any, Dict, Mapping, Sequence + + +class PhonemeType(str, Enum): + ESPEAK = "espeak" + TEXT = "text" + + +@dataclass +class PiperConfig: + """Piper configuration""" + + num_symbols: int + """Number of phonemes""" + + num_speakers: int + """Number of speakers""" + + sample_rate: int + """Sample rate of output audio""" + + espeak_voice: str + """Name of espeak-ng voice or alphabet""" + + length_scale: float + noise_scale: float + noise_w: float + + phoneme_id_map: Mapping[str, Sequence[int]] + """Phoneme -> [id,]""" + + phoneme_type: PhonemeType + """espeak or text""" + + @staticmethod + def from_dict(config: Dict[str, Any]) -> "PiperConfig": + inference = config.get("inference", {}) + + return PiperConfig( + num_symbols=config["num_symbols"], + num_speakers=config["num_speakers"], + sample_rate=config["audio"]["sample_rate"], + noise_scale=inference.get("noise_scale", 0.667), + length_scale=inference.get("length_scale", 1.0), + noise_w=inference.get("noise_w", 0.8), + # + espeak_voice=config["espeak"]["voice"], + phoneme_id_map=config["phoneme_id_map"], + phoneme_type=PhonemeType(config.get("phoneme_type", PhonemeType.ESPEAK)), + ) diff --git a/components/Universal_TTS_Finetune/piper/piper/const.py b/components/Universal_TTS_Finetune/piper/piper/const.py new file mode 100644 index 0000000..a9eadbb --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/const.py @@ -0,0 +1,5 @@ +"""Constants""" + +PAD = "_" # padding (0) +BOS = "^" # beginning of sentence +EOS = "$" # end of sentence diff --git a/components/Universal_TTS_Finetune/piper/piper/download.py b/components/Universal_TTS_Finetune/piper/piper/download.py new file mode 100644 index 0000000..ababf2b --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/download.py @@ -0,0 +1,139 @@ +"""Utility for downloading Piper voices.""" +import json +import logging +import shutil +from pathlib import Path +from typing import Any, Dict, Iterable, Set, Tuple, Union +from urllib.request import urlopen + +from .file_hash import get_file_hash + +URL_FORMAT = "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/{file}" + +_DIR = Path(__file__).parent +_LOGGER = logging.getLogger(__name__) + +_SKIP_FILES = {"MODEL_CARD"} + + +class VoiceNotFoundError(Exception): + pass + + +def get_voices( + download_dir: Union[str, Path], update_voices: bool = False +) -> Dict[str, Any]: + """Loads available voices from downloaded or embedded JSON file.""" + download_dir = Path(download_dir) + voices_download = download_dir / "voices.json" + + if update_voices: + # Download latest voices.json + voices_url = URL_FORMAT.format(file="voices.json") + _LOGGER.debug("Downloading %s to %s", voices_url, voices_download) + with urlopen(voices_url) as response, open( + voices_download, "wb" + ) as download_file: + shutil.copyfileobj(response, download_file) + + # Prefer downloaded file to embedded + voices_embedded = _DIR / "voices.json" + voices_path = voices_download if voices_download.exists() else voices_embedded + + _LOGGER.debug("Loading %s", voices_path) + with open(voices_path, "r", encoding="utf-8") as voices_file: + return json.load(voices_file) + + +def ensure_voice_exists( + name: str, + data_dirs: Iterable[Union[str, Path]], + download_dir: Union[str, Path], + voices_info: Dict[str, Any], +): + assert data_dirs, "No data dirs" + if name not in voices_info: + raise VoiceNotFoundError(name) + + voice_info = voices_info[name] + voice_files = voice_info["files"] + files_to_download: Set[str] = set() + + for data_dir in data_dirs: + data_dir = Path(data_dir) + + # Check sizes/hashes + for file_path, file_info in voice_files.items(): + if file_path in files_to_download: + # Already planning to download + continue + + file_name = Path(file_path).name + if file_name in _SKIP_FILES: + continue + + data_file_path = data_dir / file_name + _LOGGER.debug("Checking %s", data_file_path) + if not data_file_path.exists(): + _LOGGER.debug("Missing %s", data_file_path) + files_to_download.add(file_path) + continue + + expected_size = file_info["size_bytes"] + actual_size = data_file_path.stat().st_size + if expected_size != actual_size: + _LOGGER.warning( + "Wrong size (expected=%s, actual=%s) for %s", + expected_size, + actual_size, + data_file_path, + ) + files_to_download.add(file_path) + continue + + expected_hash = file_info["md5_digest"] + actual_hash = get_file_hash(data_file_path) + if expected_hash != actual_hash: + _LOGGER.warning( + "Wrong hash (expected=%s, actual=%s) for %s", + expected_hash, + actual_hash, + data_file_path, + ) + files_to_download.add(file_path) + continue + + if (not voice_files) and (not files_to_download): + raise ValueError(f"Unable to find or download voice: {name}") + + # Download missing files + download_dir = Path(download_dir) + + for file_path in files_to_download: + file_name = Path(file_path).name + if file_name in _SKIP_FILES: + continue + + file_url = URL_FORMAT.format(file=file_path) + download_file_path = download_dir / file_name + download_file_path.parent.mkdir(parents=True, exist_ok=True) + + _LOGGER.debug("Downloading %s to %s", file_url, download_file_path) + with urlopen(file_url) as response, open( + download_file_path, "wb" + ) as download_file: + shutil.copyfileobj(response, download_file) + + _LOGGER.info("Downloaded %s (%s)", download_file_path, file_url) + + +def find_voice(name: str, data_dirs: Iterable[Union[str, Path]]) -> Tuple[Path, Path]: + for data_dir in data_dirs: + data_dir = Path(data_dir) + onnx_path = data_dir / f"{name}.onnx" + config_path = data_dir / f"{name}.onnx.json" + + if onnx_path.exists() and config_path.exists(): + return onnx_path, config_path + + raise ValueError(f"Missing files for voice {name}") diff --git a/components/Universal_TTS_Finetune/piper/piper/file_hash.py b/components/Universal_TTS_Finetune/piper/piper/file_hash.py new file mode 100644 index 0000000..b54587a --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/file_hash.py @@ -0,0 +1,46 @@ +import argparse +import hashlib +import json +import sys +from pathlib import Path +from typing import Union + + +def get_file_hash(path: Union[str, Path], bytes_per_chunk: int = 8192) -> str: + """Hash a file in chunks using md5.""" + path_hash = hashlib.md5() + with open(path, "rb") as path_file: + chunk = path_file.read(bytes_per_chunk) + while chunk: + path_hash.update(chunk) + chunk = path_file.read(bytes_per_chunk) + + return path_hash.hexdigest() + + +# ----------------------------------------------------------------------------- + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("file", nargs="+") + parser.add_argument("--dir", help="Parent directory") + args = parser.parse_args() + + if args.dir: + args.dir = Path(args.dir) + + hashes = {} + for path_str in args.file: + path = Path(path_str) + path_hash = get_file_hash(path) + if args.dir: + path = path.relative_to(args.dir) + + hashes[str(path)] = path_hash + + json.dump(hashes, sys.stdout) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper/http_server.py b/components/Universal_TTS_Finetune/piper/piper/http_server.py new file mode 100644 index 0000000..84abb56 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/http_server.py @@ -0,0 +1,127 @@ +#!/usr/bin/env python3 +import argparse +import io +import logging +import wave +from pathlib import Path +from typing import Any, Dict + +from flask import Flask, request + +from . import PiperVoice +from .download import ensure_voice_exists, find_voice, get_voices + +_LOGGER = logging.getLogger() + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--host", default="0.0.0.0", help="HTTP server host") + parser.add_argument("--port", type=int, default=5000, help="HTTP server port") + # + parser.add_argument("-m", "--model", required=True, help="Path to Onnx model file") + parser.add_argument("-c", "--config", help="Path to model config file") + # + parser.add_argument("-s", "--speaker", type=int, help="Id of speaker (default: 0)") + parser.add_argument( + "--length-scale", "--length_scale", type=float, help="Phoneme length" + ) + parser.add_argument( + "--noise-scale", "--noise_scale", type=float, help="Generator noise" + ) + parser.add_argument( + "--noise-w", "--noise_w", type=float, help="Phoneme width noise" + ) + # + parser.add_argument("--cuda", action="store_true", help="Use GPU") + # + parser.add_argument( + "--sentence-silence", + "--sentence_silence", + type=float, + default=0.0, + help="Seconds of silence after each sentence", + ) + # + parser.add_argument( + "--data-dir", + "--data_dir", + action="append", + default=[str(Path.cwd())], + help="Data directory to check for downloaded models (default: current directory)", + ) + parser.add_argument( + "--download-dir", + "--download_dir", + help="Directory to download voices into (default: first data dir)", + ) + # + parser.add_argument( + "--update-voices", + action="store_true", + help="Download latest voices.json during startup", + ) + # + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to console" + ) + args = parser.parse_args() + logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO) + _LOGGER.debug(args) + + if not args.download_dir: + # Download to first data directory by default + args.download_dir = args.data_dir[0] + + # Download voice if file doesn't exist + model_path = Path(args.model) + if not model_path.exists(): + # Load voice info + voices_info = get_voices(args.download_dir, update_voices=args.update_voices) + + # Resolve aliases for backwards compatibility with old voice names + aliases_info: Dict[str, Any] = {} + for voice_info in voices_info.values(): + for voice_alias in voice_info.get("aliases", []): + aliases_info[voice_alias] = {"_is_alias": True, **voice_info} + + voices_info.update(aliases_info) + ensure_voice_exists(args.model, args.data_dir, args.download_dir, voices_info) + args.model, args.config = find_voice(args.model, args.data_dir) + + # Load voice + voice = PiperVoice.load(args.model, config_path=args.config, use_cuda=args.cuda) + synthesize_args = { + "speaker_id": args.speaker, + "length_scale": args.length_scale, + "noise_scale": args.noise_scale, + "noise_w": args.noise_w, + "sentence_silence": args.sentence_silence, + } + + # Create web server + app = Flask(__name__) + + @app.route("/", methods=["GET", "POST"]) + def app_synthesize() -> bytes: + if request.method == "POST": + text = request.data.decode("utf-8") + else: + text = request.args.get("text", "") + + text = text.strip() + if not text: + raise ValueError("No text provided") + + _LOGGER.debug("Synthesizing text: %s", text) + with io.BytesIO() as wav_io: + with wave.open(wav_io, "wb") as wav_file: + voice.synthesize(text, wav_file, **synthesize_args) + + return wav_io.getvalue() + + app.run(host=args.host, port=args.port) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper/util.py b/components/Universal_TTS_Finetune/piper/piper/util.py new file mode 100644 index 0000000..ad94930 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/util.py @@ -0,0 +1,12 @@ +"""Utilities""" +import numpy as np + + +def audio_float_to_int16( + audio: np.ndarray, max_wav_value: float = 32767.0 +) -> np.ndarray: + """Normalize audio and convert to int16 range""" + audio_norm = audio * (max_wav_value / max(0.01, np.max(np.abs(audio)))) + audio_norm = np.clip(audio_norm, -max_wav_value, max_wav_value) + audio_norm = audio_norm.astype("int16") + return audio_norm diff --git a/components/Universal_TTS_Finetune/piper/piper/voice.py b/components/Universal_TTS_Finetune/piper/piper/voice.py new file mode 100644 index 0000000..0360c27 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/voice.py @@ -0,0 +1,185 @@ +import json +import logging +import wave +from dataclasses import dataclass +from pathlib import Path +from typing import Any, Dict, Iterable, List, Optional, Tuple, Union + +import numpy as np +import onnxruntime +from piper_phonemize import phonemize_codepoints, phonemize_espeak, tashkeel_run + +from .config import PhonemeType, PiperConfig +from .const import BOS, EOS, PAD +from .util import audio_float_to_int16 + +_LOGGER = logging.getLogger(__name__) + + +@dataclass +class PiperVoice: + session: onnxruntime.InferenceSession + config: PiperConfig + + @staticmethod + def load( + model_path: Union[str, Path], + config_path: Optional[Union[str, Path]] = None, + use_cuda: bool = False, + ) -> "PiperVoice": + """Load an ONNX model and config.""" + if config_path is None: + config_path = f"{model_path}.json" + + with open(config_path, "r", encoding="utf-8") as config_file: + config_dict = json.load(config_file) + + providers: List[Union[str, Tuple[str, Dict[str, Any]]]] + if use_cuda: + providers = [ + ( + "CUDAExecutionProvider", + {"cudnn_conv_algo_search": "HEURISTIC"}, + ) + ] + else: + providers = ["CPUExecutionProvider"] + + return PiperVoice( + config=PiperConfig.from_dict(config_dict), + session=onnxruntime.InferenceSession( + str(model_path), + sess_options=onnxruntime.SessionOptions(), + providers=providers, + ), + ) + + def phonemize(self, text: str) -> List[List[str]]: + """Text to phonemes grouped by sentence.""" + if self.config.phoneme_type == PhonemeType.ESPEAK: + if self.config.espeak_voice == "ar": + # Arabic diacritization + # https://github.com/mush42/libtashkeel/ + text = tashkeel_run(text) + + return phonemize_espeak(text, self.config.espeak_voice) + + if self.config.phoneme_type == PhonemeType.TEXT: + return phonemize_codepoints(text) + + raise ValueError(f"Unexpected phoneme type: {self.config.phoneme_type}") + + def phonemes_to_ids(self, phonemes: List[str]) -> List[int]: + """Phonemes to ids.""" + id_map = self.config.phoneme_id_map + ids: List[int] = list(id_map[BOS]) + + for phoneme in phonemes: + if phoneme not in id_map: + _LOGGER.warning("Missing phoneme from id map: %s", phoneme) + continue + + ids.extend(id_map[phoneme]) + ids.extend(id_map[PAD]) + + ids.extend(id_map[EOS]) + + return ids + + def synthesize( + self, + text: str, + wav_file: wave.Wave_write, + speaker_id: Optional[int] = None, + length_scale: Optional[float] = None, + noise_scale: Optional[float] = None, + noise_w: Optional[float] = None, + sentence_silence: float = 0.0, + ): + """Synthesize WAV audio from text.""" + wav_file.setframerate(self.config.sample_rate) + wav_file.setsampwidth(2) # 16-bit + wav_file.setnchannels(1) # mono + + for audio_bytes in self.synthesize_stream_raw( + text, + speaker_id=speaker_id, + length_scale=length_scale, + noise_scale=noise_scale, + noise_w=noise_w, + sentence_silence=sentence_silence, + ): + wav_file.writeframes(audio_bytes) + + def synthesize_stream_raw( + self, + text: str, + speaker_id: Optional[int] = None, + length_scale: Optional[float] = None, + noise_scale: Optional[float] = None, + noise_w: Optional[float] = None, + sentence_silence: float = 0.0, + ) -> Iterable[bytes]: + """Synthesize raw audio per sentence from text.""" + sentence_phonemes = self.phonemize(text) + + # 16-bit mono + num_silence_samples = int(sentence_silence * self.config.sample_rate) + silence_bytes = bytes(num_silence_samples * 2) + + for phonemes in sentence_phonemes: + phoneme_ids = self.phonemes_to_ids(phonemes) + yield self.synthesize_ids_to_raw( + phoneme_ids, + speaker_id=speaker_id, + length_scale=length_scale, + noise_scale=noise_scale, + noise_w=noise_w, + ) + silence_bytes + + def synthesize_ids_to_raw( + self, + phoneme_ids: List[int], + speaker_id: Optional[int] = None, + length_scale: Optional[float] = None, + noise_scale: Optional[float] = None, + noise_w: Optional[float] = None, + ) -> bytes: + """Synthesize raw audio from phoneme ids.""" + if length_scale is None: + length_scale = self.config.length_scale + + if noise_scale is None: + noise_scale = self.config.noise_scale + + if noise_w is None: + noise_w = self.config.noise_w + + phoneme_ids_array = np.expand_dims(np.array(phoneme_ids, dtype=np.int64), 0) + phoneme_ids_lengths = np.array([phoneme_ids_array.shape[1]], dtype=np.int64) + scales = np.array( + [noise_scale, length_scale, noise_w], + dtype=np.float32, + ) + + args = { + "input": phoneme_ids_array, + "input_lengths": phoneme_ids_lengths, + "scales": scales + } + + if self.config.num_speakers <= 1: + speaker_id = None + + if (self.config.num_speakers > 1) and (speaker_id is None): + # Default speaker + speaker_id = 0 + + if speaker_id is not None: + sid = np.array([speaker_id], dtype=np.int64) + args["sid"] = sid + + # Synthesize through Onnx + audio = self.session.run(None, args, )[0].squeeze((0, 1)) + audio = audio_float_to_int16(audio.squeeze()) + return audio.tobytes() diff --git a/components/Universal_TTS_Finetune/piper/piper/voices.json b/components/Universal_TTS_Finetune/piper/piper/voices.json new file mode 100644 index 0000000..7ca0e79 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper/voices.json @@ -0,0 +1,4222 @@ +{ + "ca_ES-upc_ona-medium": { + "key": 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mode 100644 index 0000000..ba2778d --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/.isort.cfg @@ -0,0 +1,6 @@ +[settings] +multi_line_output=3 +include_trailing_comma=True +force_grid_wrap=0 +use_parentheses=True +line_length=88 diff --git a/components/Universal_TTS_Finetune/piper/piper_train/VERSION b/components/Universal_TTS_Finetune/piper/piper_train/VERSION new file mode 100644 index 0000000..3eefcb9 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/VERSION @@ -0,0 +1 @@ +1.0.0 diff --git a/components/Universal_TTS_Finetune/piper/piper_train/__init__.py b/components/Universal_TTS_Finetune/piper/piper_train/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/Universal_TTS_Finetune/piper/piper_train/__main__.py b/components/Universal_TTS_Finetune/piper/piper_train/__main__.py new file mode 100644 index 0000000..6295fc2 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/__main__.py @@ -0,0 +1,196 @@ +import argparse +import json +import logging +from pathlib import Path + +import torch +from pytorch_lightning import Trainer +from pytorch_lightning.callbacks import ModelCheckpoint + +from .vits.lightning import VitsModel + +_LOGGER = logging.getLogger(__package__) + + +def main(): + import pathlib + try: + torch.serialization.add_safe_globals([pathlib.PosixPath, pathlib.WindowsPath]) + except AttributeError: + pass + + logging.basicConfig(level=logging.DEBUG) + + parser = argparse.ArgumentParser() + parser.add_argument( + "--dataset-dir", required=True, help="Path to pre-processed dataset directory" + ) + parser.add_argument( + "--checkpoint-epochs", + type=int, + help="Save checkpoint every N epochs (default: 1)", + ) + parser.add_argument( + "--quality", + default="medium", + choices=("x-low", "medium", "high"), + help="Quality/size of model (default: medium)", + ) + parser.add_argument( + "--resume_from_single_speaker_checkpoint", + help="For multi-speaker models only. Converts a single-speaker checkpoint to multi-speaker and resumes training", + ) + parser.add_argument("--max_epochs", type=int, help="Max number of epochs to train") + parser.add_argument("--accelerator", type=str, help="Accelerator to use (cpu, gpu, mps, auto)") + parser.add_argument("--devices", type=str, help="Devices to use (e.g., number of gpus or 'auto')") + parser.add_argument("--precision", type=str, default="32", help="Precision to use (e.g. 16, 32, bf16)") + parser.add_argument("--default_root_dir", type=str, help="Default path for logs and checkpoints") + parser.add_argument("--resume_from_checkpoint", type=str, help="Resume training from a checkpoint") + VitsModel.add_model_specific_args(parser) + parser.add_argument("--seed", type=int, default=1234) + args = parser.parse_args() + _LOGGER.debug(args) + + args.dataset_dir = Path(args.dataset_dir) + if not args.default_root_dir: + args.default_root_dir = args.dataset_dir + + torch.backends.cudnn.benchmark = True + torch.manual_seed(args.seed) + + config_path = args.dataset_dir / "config.json" + dataset_path = args.dataset_dir / "dataset.jsonl" + + with open(config_path, "r", encoding="utf-8") as config_file: + # See preprocess.py for format + config = json.load(config_file) + num_symbols = int(config["num_symbols"]) + num_speakers = int(config["num_speakers"]) + sample_rate = int(config["audio"]["sample_rate"]) + + checkpoint_epoch = 0 + if args.resume_from_checkpoint: + try: + ckpt = torch.load(args.resume_from_checkpoint, map_location="cpu", weights_only=True) + checkpoint_epoch = ckpt.get("epoch", 0) + _LOGGER.info("Resuming from checkpoint epoch: %s", checkpoint_epoch) + except Exception as e: + _LOGGER.warning("Could not read epoch from checkpoint: %s", e) + + trainer_kwargs = {} + if args.max_epochs is not None: + trainer_kwargs["max_epochs"] = checkpoint_epoch + args.max_epochs + if args.accelerator is not None: + trainer_kwargs["accelerator"] = args.accelerator + if args.devices is not None: + try: + trainer_kwargs["devices"] = int(args.devices) + except ValueError: + trainer_kwargs["devices"] = args.devices + if args.precision is not None: + trainer_kwargs["precision"] = args.precision + if args.default_root_dir is not None: + trainer_kwargs["default_root_dir"] = args.default_root_dir + + callbacks = [] + if args.checkpoint_epochs is not None: + callbacks.append( + ModelCheckpoint( + every_n_epochs=args.checkpoint_epochs, + save_on_train_epoch_end=True, + save_last=True, + dirpath=Path(args.default_root_dir), + filename="epoch={epoch}-step={step}", + ) + ) + _LOGGER.debug( + "Checkpoints will be saved every %s epoch(s)", args.checkpoint_epochs + ) + trainer_kwargs["callbacks"] = callbacks + + trainer = Trainer(**trainer_kwargs) + + dict_args = vars(args) + if args.quality == "x-low": + dict_args["hidden_channels"] = 96 + dict_args["inter_channels"] = 96 + dict_args["filter_channels"] = 384 + elif args.quality == "high": + dict_args["resblock"] = "1" + dict_args["resblock_kernel_sizes"] = (3, 7, 11) + dict_args["resblock_dilation_sizes"] = ( + (1, 3, 5), + (1, 3, 5), + (1, 3, 5), + ) + dict_args["upsample_rates"] = (8, 8, 2, 2) + dict_args["upsample_initial_channel"] = 512 + dict_args["upsample_kernel_sizes"] = (16, 16, 4, 4) + + model = VitsModel( + num_symbols=num_symbols, + num_speakers=num_speakers, + sample_rate=sample_rate, + dataset=[dataset_path], + **dict_args, + ) + + if args.resume_from_single_speaker_checkpoint: + assert ( + num_speakers > 1 + ), "--resume_from_single_speaker_checkpoint is only for multi-speaker models. Use --resume_from_checkpoint for single-speaker models." + + # Load single-speaker checkpoint + _LOGGER.debug( + "Resuming from single-speaker checkpoint: %s", + args.resume_from_single_speaker_checkpoint, + ) + model_single = VitsModel.load_from_checkpoint( + args.resume_from_single_speaker_checkpoint, + dataset=None, + ) + g_dict = model_single.model_g.state_dict() + for key in list(g_dict.keys()): + # Remove keys that can't be copied over due to missing speaker embedding + if ( + key.startswith("dec.cond") + or key.startswith("dp.cond") + or ("enc.cond_layer" in key) + ): + g_dict.pop(key, None) + + # Copy over the multi-speaker model, excluding keys related to the + # speaker embedding (which is missing from the single-speaker model). + load_state_dict(model.model_g, g_dict) + load_state_dict(model.model_d, model_single.model_d.state_dict()) + _LOGGER.info( + "Successfully converted single-speaker checkpoint to multi-speaker" + ) + + trainer.fit(model, ckpt_path=args.resume_from_checkpoint) + final_ckpt_path = Path(args.default_root_dir) / "epoch=final.ckpt" + trainer.save_checkpoint(final_ckpt_path) + _LOGGER.info("Manually saved final checkpoint to: %s", final_ckpt_path) + + +def load_state_dict(model, saved_state_dict): + state_dict = model.state_dict() + new_state_dict = {} + + for k, v in state_dict.items(): + if k in saved_state_dict: + # Use saved value + new_state_dict[k] = saved_state_dict[k] + else: + # Use initialized value + _LOGGER.debug("%s is not in the checkpoint", k) + new_state_dict[k] = v + + model.load_state_dict(new_state_dict) + + +# ----------------------------------------------------------------------------- + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/_resources.py b/components/Universal_TTS_Finetune/piper/piper_train/_resources.py new file mode 100644 index 0000000..874f72f --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/_resources.py @@ -0,0 +1,19 @@ +"""Shared access to package resources""" +import os +import typing +from pathlib import Path + +try: + import importlib.resources + + files = importlib.resources.files +except (ImportError, AttributeError): + # Backport for Python < 3.9 + import importlib_resources # type: ignore + + files = importlib_resources.files + +_PACKAGE = "piper_train" +_DIR = Path(typing.cast(os.PathLike, files(_PACKAGE))) + +__version__ = (_DIR / "VERSION").read_text(encoding="utf-8").strip() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/check_phonemes.py b/components/Universal_TTS_Finetune/piper/piper_train/check_phonemes.py new file mode 100644 index 0000000..7933689 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/check_phonemes.py @@ -0,0 +1,57 @@ +#!/usr/bin/env python3 +import json +import sys +import unicodedata +from collections import Counter + +from .phonemize import DEFAULT_PHONEME_ID_MAP + + +def main() -> None: + used_phonemes: "Counter[str]" = Counter() + missing_phonemes: "Counter[str]" = Counter() + + for line in sys.stdin: + line = line.strip() + if not line: + continue + + utt = json.loads(line) + for phoneme in utt["phonemes"]: + used_phonemes[phoneme] += 1 + + if phoneme not in DEFAULT_PHONEME_ID_MAP: + missing_phonemes[phoneme] += 1 + + if missing_phonemes: + print("Missing", len(missing_phonemes), "phoneme(s)", file=sys.stderr) + + json.dump( + { + "used": { + phoneme: { + "count": count, + "hex": f"\\u{hex(ord(phoneme))}", + "name": unicodedata.category(phoneme), + "category": unicodedata.category(phoneme), + } + for phoneme, count in used_phonemes.most_common() + }, + "missing": { + phoneme: { + "count": count, + "hex": f"\\u{hex(ord(phoneme))}", + "name": unicodedata.category(phoneme), + "category": unicodedata.category(phoneme), + } + for phoneme, count in missing_phonemes.most_common() + }, + }, + sys.stdout, + ) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/clean_cached_audio.py b/components/Universal_TTS_Finetune/piper/piper_train/clean_cached_audio.py new file mode 100644 index 0000000..5e30295 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/clean_cached_audio.py @@ -0,0 +1,50 @@ +#!/usr/bin/env python3 +import argparse +from concurrent.futures import ThreadPoolExecutor +import logging +from pathlib import Path + +import torch + +_LOGGER = logging.getLogger() + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument( + "--cache-dir", + required=True, + help="Path to directory with audio/spectrogram files (*.pt)", + ) + parser.add_argument( + "--delete", action="store_true", help="Delete files that fail to load" + ) + parser.add_argument("--debug", action="store_true") + args = parser.parse_args() + logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO) + _LOGGER.debug(args) + + cache_dir = Path(args.cache_dir) + num_deleted = 0 + + def check_file(pt_path: Path) -> None: + nonlocal num_deleted + + try: + _LOGGER.debug("Checking %s", pt_path) + torch.load(str(pt_path)) + except Exception: + _LOGGER.error(pt_path) + if args.delete: + pt_path.unlink() + num_deleted += 1 + + with ThreadPoolExecutor() as executor: + for pt_path in cache_dir.glob("*.pt"): + executor.submit(check_file, pt_path) + + print("Deleted:", num_deleted, "file(s)") + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/export_generator.py b/components/Universal_TTS_Finetune/piper/piper_train/export_generator.py new file mode 100644 index 0000000..7061507 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/export_generator.py @@ -0,0 +1,56 @@ +#!/usr/bin/env python3 +import argparse +import logging +from pathlib import Path + +import torch + +from .vits.lightning import VitsModel + +_LOGGER = logging.getLogger("piper_train.export_generator") + + +def main(): + """Main entry point""" + parser = argparse.ArgumentParser() + parser.add_argument("checkpoint", help="Path to model checkpoint (.ckpt)") + parser.add_argument("output", help="Path to output model (.pt)") + + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to the console" + ) + args = parser.parse_args() + + if args.debug: + logging.basicConfig(level=logging.DEBUG) + else: + logging.basicConfig(level=logging.INFO) + + _LOGGER.debug(args) + + # ------------------------------------------------------------------------- + + args.checkpoint = Path(args.checkpoint) + args.output = Path(args.output) + args.output.parent.mkdir(parents=True, exist_ok=True) + + model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None) + model_g = model.model_g + + # Inference only + model_g.eval() + + with torch.no_grad(): + model_g.dec.remove_weight_norm() + + model_g.forward = model_g.infer + + torch.save(model_g, args.output) + + _LOGGER.info("Exported model to %s", args.output) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/export_onnx.py b/components/Universal_TTS_Finetune/piper/piper_train/export_onnx.py new file mode 100644 index 0000000..b9c868e --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/export_onnx.py @@ -0,0 +1,116 @@ +#!/usr/bin/env python3 +import argparse +import logging +from pathlib import Path +from typing import Optional + +import torch + +from .vits.lightning import VitsModel + +_LOGGER = logging.getLogger("piper_train.export_onnx") + +OPSET_VERSION = 15 + + +def main() -> None: + """Main entry point""" + import pathlib + try: + torch.serialization.add_safe_globals([pathlib.PosixPath, pathlib.WindowsPath]) + except AttributeError: + pass + + torch.manual_seed(1234) + + parser = argparse.ArgumentParser() + parser.add_argument("checkpoint", help="Path to model checkpoint (.ckpt)") + parser.add_argument("output", help="Path to output model (.onnx)") + + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to the console" + ) + args = parser.parse_args() + + if args.debug: + logging.basicConfig(level=logging.DEBUG) + else: + logging.basicConfig(level=logging.INFO) + + _LOGGER.debug(args) + + # ------------------------------------------------------------------------- + + args.checkpoint = Path(args.checkpoint) + args.output = Path(args.output) + args.output.parent.mkdir(parents=True, exist_ok=True) + + model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None, map_location="cpu") + model_g = model.model_g + + num_symbols = model_g.n_vocab + num_speakers = model_g.n_speakers + + # Inference only + model_g.eval() + + with torch.no_grad(): + model_g.dec.remove_weight_norm() + + # old_forward = model_g.infer + + def infer_forward(text, text_lengths, scales, sid=None): + noise_scale = scales[0] + length_scale = scales[1] + noise_scale_w = scales[2] + audio = model_g.infer( + text, + text_lengths, + noise_scale=noise_scale, + length_scale=length_scale, + noise_scale_w=noise_scale_w, + sid=sid, + )[0].unsqueeze(1) + + return audio + + model_g.forward = infer_forward + + dummy_input_length = 50 + sequences = torch.randint( + low=0, high=num_symbols, size=(1, dummy_input_length), dtype=torch.long + ) + sequence_lengths = torch.LongTensor([sequences.size(1)]) + + sid: Optional[torch.LongTensor] = None + if num_speakers > 1: + sid = torch.LongTensor([0]) + + # noise, length, noise_w + scales = torch.FloatTensor([0.667, 1.0, 0.8]) + dummy_input = (sequences, sequence_lengths, scales, sid) + + # Export + torch.onnx.export( + model=model_g, + args=dummy_input, + f=str(args.output), + verbose=False, + opset_version=OPSET_VERSION, + input_names=["input", "input_lengths", "scales", "sid"], + output_names=["output"], + dynamic_axes={ + "input": {0: "batch_size", 1: "phonemes"}, + "input_lengths": {0: "batch_size"}, + "output": {0: "batch_size", 1: "time"}, + }, + dynamo=False, + ) + + _LOGGER.info("Exported model to %s", args.output) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/export_onnx_streaming.py b/components/Universal_TTS_Finetune/piper/piper_train/export_onnx_streaming.py new file mode 100644 index 0000000..719b59f --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/export_onnx_streaming.py @@ -0,0 +1,196 @@ +#!/usr/bin/env python3 + +import argparse +import logging +import os +from pathlib import Path +from typing import Optional + +import torch +from torch import nn + +from .vits import commons +from .vits.lightning import VitsModel + +_LOGGER = logging.getLogger("piper_train.export_onnx") +OPSET_VERSION = 15 + + +class VitsEncoder(nn.Module): + def __init__(self, gen): + super().__init__() + self.gen = gen + + def forward(self, x, x_lengths, scales, sid=None): + noise_scale = scales[0] + length_scale = scales[1] + noise_scale_w = scales[2] + + gen = self.gen + x, m_p, logs_p, x_mask = gen.enc_p(x, x_lengths) + if gen.n_speakers > 1: + assert sid is not None, "Missing speaker id" + g = gen.emb_g(sid).unsqueeze(-1) # [b, h, 1] + else: + g = None + + if gen.use_sdp: + logw = gen.dp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) + else: + logw = gen.dp(x, x_mask, g=g) + w = torch.exp(logw) * x_mask * length_scale + w_ceil = torch.ceil(w) + y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long() + y_mask = torch.unsqueeze( + commons.sequence_mask(y_lengths, y_lengths.max()), 1 + ).type_as(x_mask) + attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1) + attn = commons.generate_path(w_ceil, attn_mask) + + m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose( + 1, 2 + ) # [b, t', t], [b, t, d] -> [b, d, t'] + logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose( + 1, 2 + ) # [b, t', t], [b, t, d] -> [b, d, t'] + + z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale + return z_p, y_mask, g + + +class VitsDecoder(nn.Module): + def __init__(self, gen): + super().__init__() + self.gen = gen + + def forward(self, z, y_mask, g=None): + z = self.gen.flow(z, y_mask, g=g, reverse=True) + output = self.gen.dec((z * y_mask), g=g) + return output + + +def main() -> None: + """Main entry point""" + torch.manual_seed(1234) + + parser = argparse.ArgumentParser() + parser.add_argument("checkpoint", help="Path to model checkpoint (.ckpt)") + parser.add_argument("output_dir", help="Path to output directory") + + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to the console" + ) + args = parser.parse_args() + + if args.debug: + logging.basicConfig(level=logging.DEBUG) + else: + logging.basicConfig(level=logging.INFO) + + _LOGGER.debug(args) + + # ------------------------------------------------------------------------- + + args.checkpoint = Path(args.checkpoint) + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None) + model_g = model.model_g + + with torch.no_grad(): + model_g.dec.remove_weight_norm() + + _LOGGER.info("Exporting encoder...") + decoder_input = export_encoder(args, model_g) + _LOGGER.info("Exporting decoder...") + export_decoder(args, model_g, decoder_input) + _LOGGER.info("Exported model to %s", str(args.output_dir)) + + +def export_encoder(args, model_g): + model = VitsEncoder(model_g) + model.eval() + + num_symbols = model_g.n_vocab + num_speakers = model_g.n_speakers + + dummy_input_length = 50 + sequences = torch.randint( + low=0, high=num_symbols, size=(1, dummy_input_length), dtype=torch.long + ) + sequence_lengths = torch.LongTensor([sequences.size(1)]) + + sid: Optional[torch.LongTensor] = None + if num_speakers > 1: + sid = torch.LongTensor([0]) + + # noise, noise_w, length + scales = torch.FloatTensor([0.667, 1.0, 0.8]) + dummy_input = (sequences, sequence_lengths, scales, sid) + + output_names = [ + "z", + "y_mask", + ] + if model_g.n_speakers > 1: + output_names.append("g") + + onnx_path = os.fspath(args.output_dir.joinpath("encoder.onnx")) + + # Export + torch.onnx.export( + model=model, + args=dummy_input, + f=onnx_path, + verbose=False, + opset_version=OPSET_VERSION, + input_names=["input", "input_lengths", "scales", "sid"], + output_names=output_names, + dynamic_axes={ + "input": {0: "batch_size", 1: "phonemes"}, + "input_lengths": {0: "batch_size"}, + "output": {0: "batch_size", 2: "time"}, + }, + ) + _LOGGER.info("Exported encoder to %s", onnx_path) + + return model(*dummy_input) + + +def export_decoder(args, model_g, decoder_input): + model = VitsDecoder(model_g) + model.eval() + + input_names = [ + "z", + "y_mask", + ] + if model_g.n_speakers > 1: + input_names.append("g") + + onnx_path = os.fspath(args.output_dir.joinpath("decoder.onnx")) + + # Export + torch.onnx.export( + model=model, + args=decoder_input, + f=onnx_path, + verbose=False, + opset_version=OPSET_VERSION, + input_names=input_names, + output_names=["output"], + dynamic_axes={ + "z": {0: "batch_size", 2: "time"}, + "y_mask": {0: "batch_size", 2: "time"}, + "output": {0: "batch_size", 1: "time"}, + }, + ) + + _LOGGER.info("Exported decoder to %s", onnx_path) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/export_torchscript.py b/components/Universal_TTS_Finetune/piper/piper_train/export_torchscript.py new file mode 100644 index 0000000..312cc95 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/export_torchscript.py @@ -0,0 +1,78 @@ +#!/usr/bin/env python3 +import argparse +import logging +from pathlib import Path + +import torch + +from .vits.lightning import VitsModel + +_LOGGER = logging.getLogger("piper_train.export_torchscript") + + +def main(): + """Main entry point""" + torch.manual_seed(1234) + + parser = argparse.ArgumentParser() + parser.add_argument("checkpoint", help="Path to model checkpoint (.ckpt)") + parser.add_argument("output", help="Path to output model (.onnx)") + + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to the console" + ) + args = parser.parse_args() + + if args.debug: + logging.basicConfig(level=logging.DEBUG) + else: + logging.basicConfig(level=logging.INFO) + + _LOGGER.debug(args) + + # ------------------------------------------------------------------------- + + args.checkpoint = Path(args.checkpoint) + args.output = Path(args.output) + args.output.parent.mkdir(parents=True, exist_ok=True) + + model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None) + model_g = model.model_g + + num_symbols = model_g.n_vocab + + # Inference only + model_g.eval() + + with torch.no_grad(): + model_g.dec.remove_weight_norm() + + model_g.forward = model_g.infer + + dummy_input_length = 50 + sequences = torch.randint( + low=0, high=num_symbols, size=(1, dummy_input_length), dtype=torch.long + ) + sequence_lengths = torch.LongTensor([sequences.size(1)]) + + sid = torch.LongTensor([0]) + + dummy_input = ( + sequences, + sequence_lengths, + sid, + torch.FloatTensor([0.667]), + torch.FloatTensor([1.0]), + torch.FloatTensor([0.8]), + ) + + jitted_model = torch.jit.trace(model_g, dummy_input) + torch.jit.save(jitted_model, str(args.output)) + + _LOGGER.info("Saved TorchScript model to %s", args.output) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/filter_utterances.py b/components/Universal_TTS_Finetune/piper/piper_train/filter_utterances.py new file mode 100644 index 0000000..25679f5 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/filter_utterances.py @@ -0,0 +1,244 @@ +#!/usr/bin/env python3 +import argparse +import csv +import json +import re +import shutil +import statistics +import subprocess +import sys +import threading +from collections import defaultdict +from concurrent.futures import ThreadPoolExecutor +from dataclasses import asdict, dataclass +from enum import Enum +from pathlib import Path +from typing import Optional + +import numpy as np + +from .norm_audio import make_silence_detector, trim_silence + +_DIR = Path(__file__).parent + +# Removed from the speaking rate calculation +_PUNCTUATION = re.compile(".。,,?¿?؟!!;;::-—") + + +class ExcludeReason(str, Enum): + MISSING = "file_missing" + EMPTY = "file_empty" + LOW = "rate_low" + HIGH = "rate_high" + + +@dataclass +class Utterance: + id: str + text: str + duration_sec: float + speaker: str + exclude_reason: Optional[ExcludeReason] = None + rate: float = 0.0 + + def __post_init__(self): + if self.duration_sec > 0: + # Don't include punctuation is speaking rate calculation since we + # remove silence. + text_nopunct = _PUNCTUATION.sub("", self.text) + self.rate = len(text_nopunct) / self.duration_sec + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--write-json", help="Path to write information about excluded utterances" + ) + parser.add_argument( + "--dataset-dir", default=Path.cwd(), help="Path to dataset directory" + ) + parser.add_argument("--scale-lower", type=float, default=2.0) + parser.add_argument("--scale-upper", type=float, default=2.0) + args = parser.parse_args() + + if not shutil.which("ffprobe"): + raise RuntimeError("ffprobe not found (is ffmpeg installed?)") + + dataset_dir = Path(args.dataset_dir) + wav_dir = dataset_dir / "wav" + if not wav_dir.is_dir(): + wav_dir = dataset_dir / "wavs" + + reader = csv.reader(sys.stdin, delimiter="|", quoting=csv.QUOTE_NONE) + + text_and_audio = [] + for row in reader: + filename, text = row[0], row[-1] + speaker = row[1] if len(row) > 2 else "default" + + # Try file name relative to metadata + wav_path = dataset_dir / filename + + if not wav_path.exists(): + # Try with .wav + wav_path = dataset_dir / f"{filename}.wav" + + if not wav_path.exists(): + # Try wav/ or wavs/ + wav_path = wav_dir / filename + + if not wav_path.exists(): + # Try with .wav + wav_path = wav_dir / f"{filename}.wav" + + text_and_audio.append((filename, text, wav_path, speaker)) + + writer = csv.writer(sys.stdout, delimiter="|") + + # speaker -> [rate] + utts_by_speaker = defaultdict(list) + process_utterance = ProcessUtterance() + with ThreadPoolExecutor() as executor: + for utt in executor.map(lambda args: process_utterance(*args), text_and_audio): + utts_by_speaker[utt.speaker].append(utt) + + is_multispeaker = len(utts_by_speaker) > 1 + writer = csv.writer(sys.stdout, delimiter="|") + + speaker_details = {} + for speaker, utts in utts_by_speaker.items(): + rates = [utt.rate for utt in utts] + if rates: + # Exclude rates well outside the 25%/75% quantiles + rate_qs = statistics.quantiles(rates, n=4) + q1 = rate_qs[0] # 25% + q3 = rate_qs[-1] # 75% + iqr = q3 - q1 + lower = q1 - (args.scale_lower * iqr) + upper = q3 + (args.scale_upper * iqr) + speaker_details[speaker] = { + "min": min(rates), + "max": max(rates), + "quanties": rate_qs, + "lower": lower, + "upper": upper, + } + + for utt in utts: + if utt.rate < lower: + utt.exclude_reason = ExcludeReason.LOW + elif utt.rate > upper: + utt.exclude_reason = ExcludeReason.HIGH + else: + if is_multispeaker: + writer.writerow((utt.id, utt.speaker, utt.text)) + else: + writer.writerow((utt.id, utt.text)) + + if args.write_json: + speaker_excluded = { + speaker: [ + asdict(utt) + for utt in utts_by_speaker[speaker] + if utt.exclude_reason is not None + ] + for speaker in speaker_details + } + + with open(args.write_json, "w", encoding="utf-8") as json_file: + json.dump( + { + speaker: { + "details": speaker_details[speaker], + "num_utterances": len(utts_by_speaker[speaker]), + "num_excluded": len(speaker_excluded[speaker]), + "excluded": speaker_excluded[speaker], + } + for speaker in speaker_details + }, + json_file, + indent=4, + ensure_ascii=False, + ) + + +class ProcessUtterance: + def __init__(self): + self.thread_data = threading.local() + + def __call__( + self, utt_id: str, text: str, wav_path: Path, speaker: str + ) -> Utterance: + if not wav_path.exists(): + return Utterance( + utt_id, + text, + 0.0, + speaker, + exclude_reason=ExcludeReason.MISSING, + ) + + if wav_path.stat().st_size == 0: + return Utterance( + utt_id, + text, + 0.0, + speaker, + exclude_reason=ExcludeReason.EMPTY, + ) + + return Utterance(utt_id, text, self.get_duration(wav_path), speaker) + + def get_duration(self, audio_path: Path) -> float: + """Uses ffmpeg to get audio duration.""" + if not hasattr(self.thread_data, "detector"): + self.thread_data.detector = make_silence_detector() + + vad_sample_rate = 16000 + audio_16khz_bytes = subprocess.check_output( + [ + "ffmpeg", + "-i", + str(audio_path), + "-f", + "s16le", + "-acodec", + "pcm_s16le", + "-ac", + "1", + "-ar", + str(vad_sample_rate), + "pipe:", + ], + stderr=subprocess.DEVNULL, + ) + + # Normalize + audio_16khz = np.frombuffer(audio_16khz_bytes, dtype=np.int16).astype( + np.float32 + ) + audio_16khz /= np.abs(np.max(audio_16khz)) + + # Get speaking duration + offset_sec, duration_sec = trim_silence( + audio_16khz, + self.thread_data.detector, + threshold=0.8, + samples_per_chunk=480, + sample_rate=vad_sample_rate, + keep_chunks_before=2, + keep_chunks_after=2, + ) + + if duration_sec is None: + # Speech goes to end of audio + if len(audio_16khz) > 0: + duration_sec = (len(audio_16khz) / 16000.0) - offset_sec + else: + duration_sec = 0.0 + + return duration_sec + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/infer.py b/components/Universal_TTS_Finetune/piper/piper_train/infer.py new file mode 100644 index 0000000..378af21 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/infer.py @@ -0,0 +1,84 @@ +#!/usr/bin/env python3 +import argparse +import json +import logging +import sys +import time +from pathlib import Path + +import torch + +from .vits.lightning import VitsModel +from .vits.utils import audio_float_to_int16 +from .vits.wavfile import write as write_wav + +_LOGGER = logging.getLogger("piper_train.infer") + + +def main(): + """Main entry point""" + logging.basicConfig(level=logging.DEBUG) + parser = argparse.ArgumentParser(prog="piper_train.infer") + parser.add_argument( + "--checkpoint", required=True, help="Path to model checkpoint (.ckpt)" + ) + parser.add_argument("--output-dir", required=True, help="Path to write WAV files") + parser.add_argument("--sample-rate", type=int, default=22050) + # + parser.add_argument("--noise-scale", type=float, default=0.667) + parser.add_argument("--length-scale", type=float, default=1.0) + parser.add_argument("--noise-w", type=float, default=0.8) + # + args = parser.parse_args() + + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None) + + # Inference only + model.eval() + + with torch.no_grad(): + model.model_g.dec.remove_weight_norm() + + for i, line in enumerate(sys.stdin): + line = line.strip() + if not line: + continue + + utt = json.loads(line) + utt_id = str(i) + phoneme_ids = utt["phoneme_ids"] + speaker_id = utt.get("speaker_id") + + text = torch.LongTensor(phoneme_ids).unsqueeze(0) + text_lengths = torch.LongTensor([len(phoneme_ids)]) + scales = [args.noise_scale, args.length_scale, args.noise_w] + sid = torch.LongTensor([speaker_id]) if speaker_id is not None else None + + start_time = time.perf_counter() + audio = model(text, text_lengths, scales, sid=sid).detach().numpy() + audio = audio_float_to_int16(audio) + end_time = time.perf_counter() + + audio_duration_sec = audio.shape[-1] / args.sample_rate + infer_sec = end_time - start_time + real_time_factor = ( + infer_sec / audio_duration_sec if audio_duration_sec > 0 else 0.0 + ) + + _LOGGER.debug( + "Real-time factor for %s: %0.2f (infer=%0.2f sec, audio=%0.2f sec)", + i + 1, + real_time_factor, + infer_sec, + audio_duration_sec, + ) + + output_path = args.output_dir / f"{utt_id}.wav" + write_wav(str(output_path), args.sample_rate, audio) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/infer_generator.py b/components/Universal_TTS_Finetune/piper/piper_train/infer_generator.py new file mode 100644 index 0000000..fe4f348 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/infer_generator.py @@ -0,0 +1,83 @@ +#!/usr/bin/env python3 +import argparse +import json +import logging +import sys +import time +from pathlib import Path + +import torch + +from .vits.utils import audio_float_to_int16 +from .vits.wavfile import write as write_wav + +_LOGGER = logging.getLogger("piper_train.infer_generator") + + +def main(): + """Main entry point""" + logging.basicConfig(level=logging.DEBUG) + parser = argparse.ArgumentParser(prog="piper_train.infer_generator") + parser.add_argument("--model", required=True, help="Path to generator (.pt)") + parser.add_argument("--output-dir", required=True, help="Path to write WAV files") + parser.add_argument("--sample-rate", type=int, default=22050) + args = parser.parse_args() + + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + model = torch.load(args.model) + + # Inference only + model.eval() + + for i, line in enumerate(sys.stdin): + line = line.strip() + if not line: + continue + + utt = json.loads(line) + utt_id = str(i) + phoneme_ids = utt["phoneme_ids"] + speaker_id = utt.get("speaker_id") + + text = torch.LongTensor(phoneme_ids).unsqueeze(0) + text_lengths = torch.LongTensor([len(phoneme_ids)]) + sid = torch.LongTensor([speaker_id]) if speaker_id is not None else None + + start_time = time.perf_counter() + audio = ( + model( + text, + text_lengths, + sid, + # torch.FloatTensor([0.667]), + # torch.FloatTensor([1.0]), + # torch.FloatTensor([0.8]), + )[0] + .detach() + .numpy() + ) + audio = audio_float_to_int16(audio) + end_time = time.perf_counter() + + audio_duration_sec = audio.shape[-1] / args.sample_rate + infer_sec = end_time - start_time + real_time_factor = ( + infer_sec / audio_duration_sec if audio_duration_sec > 0 else 0.0 + ) + + _LOGGER.debug( + "Real-time factor for %s: %0.2f (infer=%0.2f sec, audio=%0.2f sec)", + i + 1, + real_time_factor, + infer_sec, + audio_duration_sec, + ) + + output_path = args.output_dir / f"{utt_id}.wav" + write_wav(str(output_path), args.sample_rate, audio) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx.py b/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx.py new file mode 100644 index 0000000..3816cdb --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx.py @@ -0,0 +1,200 @@ +#!/usr/bin/env python3 +import argparse +import json +import logging +import math +import sys +import time +from pathlib import Path + +import numpy as np +import onnxruntime + +from .vits.utils import audio_float_to_int16 +from .vits.wavfile import write as write_wav + +_LOGGER = logging.getLogger("piper_train.infer_onnx") + + +def main(): + """Main entry point""" + logging.basicConfig(level=logging.DEBUG) + parser = argparse.ArgumentParser(prog="piper_train.infer_onnx") + parser.add_argument("--model", required=True, help="Path to model (.onnx)") + parser.add_argument("--output-dir", required=True, help="Path to write WAV files") + parser.add_argument("--sample-rate", type=int, default=22050) + parser.add_argument("--noise-scale", type=float, default=0.667) + parser.add_argument("--noise-scale-w", type=float, default=0.8) + parser.add_argument("--length-scale", type=float, default=1.0) + args = parser.parse_args() + + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + sess_options = onnxruntime.SessionOptions() + _LOGGER.debug("Loading model from %s", args.model) + model = onnxruntime.InferenceSession(str(args.model), sess_options=sess_options) + _LOGGER.info("Loaded model from %s", args.model) + + # text_empty = np.zeros((1, 300), dtype=np.int64) + # text_lengths_empty = np.array([text_empty.shape[1]], dtype=np.int64) + # scales = np.array( + # [args.noise_scale, args.length_scale, args.noise_scale_w], + # dtype=np.float32, + # ) + # bias_audio = model.run( + # None, + # {"input": text_empty, "input_lengths": text_lengths_empty, "scales": scales}, + # )[0].squeeze((0, 1)) + # bias_spec, _ = transform(bias_audio) + + for i, line in enumerate(sys.stdin): + line = line.strip() + if not line: + continue + + utt = json.loads(line) + # utt_id = utt["id"] + utt_id = str(i) + phoneme_ids = utt["phoneme_ids"] + speaker_id = utt.get("speaker_id") + + text = np.expand_dims(np.array(phoneme_ids, dtype=np.int64), 0) + text_lengths = np.array([text.shape[1]], dtype=np.int64) + scales = np.array( + [args.noise_scale, args.length_scale, args.noise_scale_w], + dtype=np.float32, + ) + sid = None + + if speaker_id is not None: + sid = np.array([speaker_id], dtype=np.int64) + + start_time = time.perf_counter() + audio = model.run( + None, + { + "input": text, + "input_lengths": text_lengths, + "scales": scales, + "sid": sid, + }, + )[0].squeeze((0, 1)) + # audio = denoise(audio, bias_spec, 10) + audio = audio_float_to_int16(audio.squeeze()) + end_time = time.perf_counter() + + audio_duration_sec = audio.shape[-1] / args.sample_rate + infer_sec = end_time - start_time + real_time_factor = ( + infer_sec / audio_duration_sec if audio_duration_sec > 0 else 0.0 + ) + + _LOGGER.debug( + "Real-time factor for %s: %0.2f (infer=%0.2f sec, audio=%0.2f sec)", + i + 1, + real_time_factor, + infer_sec, + audio_duration_sec, + ) + + output_path = args.output_dir / f"{utt_id}.wav" + write_wav(str(output_path), args.sample_rate, audio) + + +def denoise( + audio: np.ndarray, bias_spec: np.ndarray, denoiser_strength: float +) -> np.ndarray: + audio_spec, audio_angles = transform(audio) + + a = bias_spec.shape[-1] + b = audio_spec.shape[-1] + repeats = max(1, math.ceil(b / a)) + bias_spec_repeat = np.repeat(bias_spec, repeats, axis=-1)[..., :b] + + audio_spec_denoised = audio_spec - (bias_spec_repeat * denoiser_strength) + audio_spec_denoised = np.clip(audio_spec_denoised, a_min=0.0, a_max=None) + audio_denoised = inverse(audio_spec_denoised, audio_angles) + + return audio_denoised + + +def stft(x, fft_size, hopsamp): + """Compute and return the STFT of the supplied time domain signal x. + Args: + x (1-dim Numpy array): A time domain signal. + fft_size (int): FFT size. Should be a power of 2, otherwise DFT will be used. + hopsamp (int): + Returns: + The STFT. The rows are the time slices and columns are the frequency bins. + """ + window = np.hanning(fft_size) + fft_size = int(fft_size) + hopsamp = int(hopsamp) + return np.array( + [ + np.fft.rfft(window * x[i : i + fft_size]) + for i in range(0, len(x) - fft_size, hopsamp) + ] + ) + + +def istft(X, fft_size, hopsamp): + """Invert a STFT into a time domain signal. + Args: + X (2-dim Numpy array): Input spectrogram. The rows are the time slices and columns are the frequency bins. + fft_size (int): + hopsamp (int): The hop size, in samples. + Returns: + The inverse STFT. + """ + fft_size = int(fft_size) + hopsamp = int(hopsamp) + window = np.hanning(fft_size) + time_slices = X.shape[0] + len_samples = int(time_slices * hopsamp + fft_size) + x = np.zeros(len_samples) + for n, i in enumerate(range(0, len(x) - fft_size, hopsamp)): + x[i : i + fft_size] += window * np.real(np.fft.irfft(X[n])) + return x + + +def inverse(magnitude, phase): + recombine_magnitude_phase = np.concatenate( + [magnitude * np.cos(phase), magnitude * np.sin(phase)], axis=1 + ) + + x_org = recombine_magnitude_phase + n_b, n_f, n_t = x_org.shape # pylint: disable=unpacking-non-sequence + x = np.empty([n_b, n_f // 2, n_t], dtype=np.complex64) + x.real = x_org[:, : n_f // 2] + x.imag = x_org[:, n_f // 2 :] + inverse_transform = [] + for y in x: + y_ = istft(y.T, fft_size=1024, hopsamp=256) + inverse_transform.append(y_[None, :]) + + inverse_transform = np.concatenate(inverse_transform, 0) + + return inverse_transform + + +def transform(input_data): + x = input_data + real_part = [] + imag_part = [] + for y in x: + y_ = stft(y, fft_size=1024, hopsamp=256).T + real_part.append(y_.real[None, :, :]) # pylint: disable=unsubscriptable-object + imag_part.append(y_.imag[None, :, :]) # pylint: disable=unsubscriptable-object + real_part = np.concatenate(real_part, 0) + imag_part = np.concatenate(imag_part, 0) + + magnitude = np.sqrt(real_part**2 + imag_part**2) + phase = np.arctan2(imag_part.data, real_part.data) + + return magnitude, phase + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx_streaming.py b/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx_streaming.py new file mode 100644 index 0000000..7c1f170 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/infer_onnx_streaming.py @@ -0,0 +1,295 @@ +#!/usr/bin/env python3 + +import argparse +import json +import logging +import math +import os +import sys +import time +from pathlib import Path + +import numpy as np +import onnxruntime + +from .vits.utils import audio_float_to_int16 + +_LOGGER = logging.getLogger("piper_train.infer_onnx") + + +class SpeechStreamer: + """ + Stream speech in real time. + + Args: + encoder_path: path to encoder ONNX model + decoder_path: path to decoder ONNX model + sample_rate: output sample rate + chunk_size: number of mel frames to decode in each steps (time in secs = chunk_size * 256) + chunk_padding: number of mel frames to be concatinated to the start and end of the current chunk to reduce decoding artifacts + """ + + def __init__( + self, + encoder_path, + decoder_path, + sample_rate, + chunk_size=45, + chunk_padding=10, + ): + sess_options = onnxruntime.SessionOptions() + _LOGGER.debug("Loading encoder model from %s", encoder_path) + self.encoder = onnxruntime.InferenceSession( + encoder_path, sess_options=sess_options + ) + _LOGGER.debug("Loading decoder model from %s", decoder_path) + self.decoder = onnxruntime.InferenceSession( + decoder_path, sess_options=sess_options + ) + + self.sample_rate = sample_rate + self.chunk_size = chunk_size + self.chunk_padding = chunk_padding + + def encoder_infer(self, enc_input): + ENC_START = time.perf_counter() + enc_output = self.encoder.run(None, enc_input) + ENC_INFER = time.perf_counter() - ENC_START + _LOGGER.debug(f"Encoder inference {round(ENC_INFER * 1000)}") + wav_length = enc_output[0].shape[2] * 256 + enc_rtf = round(ENC_INFER / (wav_length / self.sample_rate), 2) + _LOGGER.debug(f"Encoder RTF {enc_rtf}") + return enc_output + + def decoder_infer(self, z, y_mask, g=None): + dec_input = {"z": z, "y_mask": y_mask} + if g: + dec_input["g"] = g + DEC_START = time.perf_counter() + audio = self.decoder.run(None, dec_input)[0].squeeze() + DEC_INFER = time.perf_counter() - DEC_START + _LOGGER.debug(f"Decoder inference {round(DEC_INFER * 1000)}") + dec_rtf = round(DEC_INFER / (len(audio) / self.sample_rate), 2) + _LOGGER.debug(f"Decoder RTF {dec_rtf}") + return audio + + def chunk(self, enc_output): + z, y_mask, *dec_args = enc_output + n_frames = z.shape[2] + if n_frames <= (self.chunk_size + (2 * self.chunk_padding)): + # Too short to stream + return self.decoder_infer(z, y_mask, *dec_args) + split_at = [ + i * self.chunk_size for i in range(1, math.ceil(n_frames / self.chunk_size)) + ] + chunks = list( + zip( + np.split(z, split_at, axis=2), + np.split(y_mask, split_at, axis=2), + ) + ) + wav_start_pad = wav_end_pad = None + for idx, (z_chunk, y_mask_chunk) in enumerate(chunks): + if idx > 0: + prev_z, prev_y_mask = chunks[idx - 1] + start_zpad = prev_z[:, :, -self.chunk_padding :] + start_ypad = prev_y_mask[:, :, -self.chunk_padding :] + z_chunk = np.concatenate([start_zpad, z_chunk], axis=2) + y_mask_chunk = np.concatenate([start_ypad, y_mask_chunk], axis=2) + wav_start_pad = start_zpad.shape[2] * 256 + if (idx + 1) < len(chunks): + next_z, next_y_mask = chunks[idx + 1] + end_zpad = next_z[:, :, : self.chunk_padding] + end_ypad = next_y_mask[:, :, : self.chunk_padding] + z_chunk = np.concatenate([z_chunk, end_zpad], axis=2) + y_mask_chunk = np.concatenate([y_mask_chunk, end_ypad], axis=2) + wav_end_pad = end_zpad.shape[2] * 256 + audio = self.decoder_infer(z_chunk, y_mask_chunk, *dec_args) + yield audio[wav_start_pad:-wav_end_pad] + + def stream(self, encoder_input): + start_time = time.perf_counter() + has_shown_latency = False + _LOGGER.debug("Starting synthesis") + enc_output = self.encoder_infer(encoder_input) + for wav in self.chunk(enc_output): + if len(wav) == 0: + continue + if not has_shown_latency: + LATENCY = round((time.perf_counter() - start_time) * 1000) + _LOGGER.debug(f"Latency {LATENCY}") + has_shown_latency = True + audio = audio_float_to_int16(wav) + yield audio.tobytes() + _LOGGER.debug("Synthesis done!") + + +def main(): + """Main entry point""" + logging.basicConfig(level=logging.DEBUG) + parser = argparse.ArgumentParser(prog="piper_train.infer_onnx_streaming") + parser.add_argument( + "--encoder", required=True, help="Path to encoder model (.onnx)" + ) + parser.add_argument( + "--decoder", required=True, help="Path to decoder model (.onnx)" + ) + parser.add_argument("--sample-rate", type=int, default=22050) + parser.add_argument("--noise-scale", type=float, default=0.667) + parser.add_argument("--noise-scale-w", type=float, default=0.8) + parser.add_argument("--length-scale", type=float, default=1.0) + parser.add_argument( + "--chunk-size", + type=int, + default=45, + help="Number of mel frames to decode at each step" + ) + parser.add_argument( + "--chunk-padding", + type=int, + default=5, + help="Number of mel frames to add to the start and end of the current chunk to reduce decoding artifacts" + ) + + args = parser.parse_args() + + streamer = SpeechStreamer( + encoder_path=os.fspath(args.encoder), + decoder_path=os.fspath(args.decoder), + sample_rate=args.sample_rate, + chunk_size=args.chunk_size, + chunk_padding=args.chunk_padding, + ) + + output_buffer = sys.stdout.buffer + + for i, line in enumerate(sys.stdin): + line = line.strip() + if not line: + continue + + utt = json.loads(line) + utt_id = str(i) + phoneme_ids = utt["phoneme_ids"] + speaker_id = utt.get("speaker_id") + + text = np.expand_dims(np.array(phoneme_ids, dtype=np.int64), 0) + text_lengths = np.array([text.shape[1]], dtype=np.int64) + scales = np.array( + [args.noise_scale, args.length_scale, args.noise_scale_w], + dtype=np.float32, + ) + sid = None + + if speaker_id is not None: + sid = np.array([speaker_id], dtype=np.int64) + + stream = streamer.stream( + { + "input": text, + "input_lengths": text_lengths, + "scales": scales, + "sid": sid, + } + ) + for wav_chunk in stream: + output_buffer.write(wav_chunk) + output_buffer.flush() + + +def denoise( + audio: np.ndarray, bias_spec: np.ndarray, denoiser_strength: float +) -> np.ndarray: + audio_spec, audio_angles = transform(audio) + + a = bias_spec.shape[-1] + b = audio_spec.shape[-1] + repeats = max(1, math.ceil(b / a)) + bias_spec_repeat = np.repeat(bias_spec, repeats, axis=-1)[..., :b] + + audio_spec_denoised = audio_spec - (bias_spec_repeat * denoiser_strength) + audio_spec_denoised = np.clip(audio_spec_denoised, a_min=0.0, a_max=None) + audio_denoised = inverse(audio_spec_denoised, audio_angles) + + return audio_denoised + + +def stft(x, fft_size, hopsamp): + """Compute and return the STFT of the supplied time domain signal x. + Args: + x (1-dim Numpy array): A time domain signal. + fft_size (int): FFT size. Should be a power of 2, otherwise DFT will be used. + hopsamp (int): + Returns: + The STFT. The rows are the time slices and columns are the frequency bins. + """ + window = np.hanning(fft_size) + fft_size = int(fft_size) + hopsamp = int(hopsamp) + return np.array( + [ + np.fft.rfft(window * x[i : i + fft_size]) + for i in range(0, len(x) - fft_size, hopsamp) + ] + ) + + +def istft(X, fft_size, hopsamp): + """Invert a STFT into a time domain signal. + Args: + X (2-dim Numpy array): Input spectrogram. The rows are the time slices and columns are the frequency bins. + fft_size (int): + hopsamp (int): The hop size, in samples. + Returns: + The inverse STFT. + """ + fft_size = int(fft_size) + hopsamp = int(hopsamp) + window = np.hanning(fft_size) + time_slices = X.shape[0] + len_samples = int(time_slices * hopsamp + fft_size) + x = np.zeros(len_samples) + for n, i in enumerate(range(0, len(x) - fft_size, hopsamp)): + x[i : i + fft_size] += window * np.real(np.fft.irfft(X[n])) + return x + + +def inverse(magnitude, phase): + recombine_magnitude_phase = np.concatenate( + [magnitude * np.cos(phase), magnitude * np.sin(phase)], axis=1 + ) + + x_org = recombine_magnitude_phase + n_b, n_f, n_t = x_org.shape # pylint: disable=unpacking-non-sequence + x = np.empty([n_b, n_f // 2, n_t], dtype=np.complex64) + x.real = x_org[:, : n_f // 2] + x.imag = x_org[:, n_f // 2 :] + inverse_transform = [] + for y in x: + y_ = istft(y.T, fft_size=1024, hopsamp=256) + inverse_transform.append(y_[None, :]) + + inverse_transform = np.concatenate(inverse_transform, 0) + + return inverse_transform + + +def transform(input_data): + x = input_data + real_part = [] + imag_part = [] + for y in x: + y_ = stft(y, fft_size=1024, hopsamp=256).T + real_part.append(y_.real[None, :, :]) # pylint: disable=unsubscriptable-object + imag_part.append(y_.imag[None, :, :]) # pylint: disable=unsubscriptable-object + real_part = np.concatenate(real_part, 0) + imag_part = np.concatenate(imag_part, 0) + + magnitude = np.sqrt(real_part**2 + imag_part**2) + phase = np.arctan2(imag_part.data, real_part.data) + + return magnitude, phase + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/infer_torchscript.py b/components/Universal_TTS_Finetune/piper/piper_train/infer_torchscript.py new file mode 100644 index 0000000..2344863 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/infer_torchscript.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python3 +import argparse +import json +import logging +import sys +import time +from pathlib import Path + +import torch + +from .vits.utils import audio_float_to_int16 +from .vits.wavfile import write as write_wav + +_LOGGER = logging.getLogger("piper_train.infer_torchscript") + + +def main(): + """Main entry point""" + logging.basicConfig(level=logging.DEBUG) + parser = argparse.ArgumentParser(prog="piper_train.infer_torchscript") + parser.add_argument( + "--model", required=True, help="Path to torchscript checkpoint (.ts)" + ) + parser.add_argument("--output-dir", required=True, help="Path to write WAV files") + parser.add_argument("--sample-rate", type=int, default=22050) + args = parser.parse_args() + + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + model = torch.jit.load(args.model) + + # Inference only + model.eval() + + for i, line in enumerate(sys.stdin): + line = line.strip() + if not line: + continue + + utt = json.loads(line) + utt_id = str(i) + phoneme_ids = utt["phoneme_ids"] + speaker_id = utt.get("speaker_id") + + text = torch.LongTensor(phoneme_ids).unsqueeze(0) + text_lengths = torch.LongTensor([len(phoneme_ids)]) + sid = torch.LongTensor([speaker_id]) if speaker_id is not None else None + + start_time = time.perf_counter() + audio = ( + model( + text, + text_lengths, + sid, + torch.FloatTensor([0.667]), + torch.FloatTensor([1.0]), + torch.FloatTensor([0.8]), + )[0] + .detach() + .numpy() + ) + audio = audio_float_to_int16(audio) + end_time = time.perf_counter() + + audio_duration_sec = audio.shape[-1] / args.sample_rate + infer_sec = end_time - start_time + real_time_factor = ( + infer_sec / audio_duration_sec if audio_duration_sec > 0 else 0.0 + ) + + _LOGGER.debug( + "Real-time factor for %s: %0.2f (infer=%0.2f sec, audio=%0.2f sec)", + i + 1, + real_time_factor, + infer_sec, + audio_duration_sec, + ) + + output_path = args.output_dir / f"{utt_id}.wav" + write_wav(str(output_path), args.sample_rate, audio) + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/__init__.py b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/__init__.py new file mode 100644 index 0000000..dc024d4 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/__init__.py @@ -0,0 +1,92 @@ +from hashlib import sha256 +from pathlib import Path +from typing import Optional, Tuple, Union + +import librosa +import torch + +from piper_train.vits.mel_processing import spectrogram_torch + +from .trim import trim_silence +from .vad import SileroVoiceActivityDetector + +_DIR = Path(__file__).parent + + +def make_silence_detector() -> SileroVoiceActivityDetector: + silence_model = _DIR / "models" / "silero_vad.onnx" + return SileroVoiceActivityDetector(silence_model) + + +def cache_norm_audio( + audio_path: Union[str, Path], + cache_dir: Union[str, Path], + detector: SileroVoiceActivityDetector, + sample_rate: int, + silence_threshold: float = 0.2, + silence_samples_per_chunk: int = 480, + silence_keep_chunks_before: int = 2, + silence_keep_chunks_after: int = 2, + filter_length: int = 1024, + window_length: int = 1024, + hop_length: int = 256, + ignore_cache: bool = False, +) -> Tuple[Path, Path]: + audio_path = Path(audio_path).absolute() + cache_dir = Path(cache_dir) + + # Cache id is the SHA256 of the full audio path + audio_cache_id = sha256(str(audio_path).encode()).hexdigest() + + audio_norm_path = cache_dir / f"{audio_cache_id}.pt" + audio_spec_path = cache_dir / f"{audio_cache_id}.spec.pt" + + # Normalize audio + audio_norm_tensor: Optional[torch.FloatTensor] = None + if ignore_cache or (not audio_norm_path.exists()): + # Trim silence first. + # + # The VAD model works on 16khz, so we determine the portion of audio + # to keep and then just load that with librosa. + vad_sample_rate = 16000 + audio_16khz, _sr = librosa.load(path=audio_path, sr=vad_sample_rate) + + offset_sec, duration_sec = trim_silence( + audio_16khz, + detector, + threshold=silence_threshold, + samples_per_chunk=silence_samples_per_chunk, + sample_rate=vad_sample_rate, + keep_chunks_before=silence_keep_chunks_before, + keep_chunks_after=silence_keep_chunks_after, + ) + + # NOTE: audio is already in [-1, 1] coming from librosa + audio_norm_array, _sr = librosa.load( + path=audio_path, + sr=sample_rate, + offset=offset_sec, + duration=duration_sec, + ) + + # Save to cache directory + audio_norm_tensor = torch.FloatTensor(audio_norm_array).unsqueeze(0) + torch.save(audio_norm_tensor, audio_norm_path) + + # Compute spectrogram + if ignore_cache or (not audio_spec_path.exists()): + if audio_norm_tensor is None: + # Load pre-cached normalized audio + audio_norm_tensor = torch.load(audio_norm_path) + + audio_spec_tensor = spectrogram_torch( + y=audio_norm_tensor, + n_fft=filter_length, + sampling_rate=sample_rate, + hop_size=hop_length, + win_size=window_length, + center=False, + ).squeeze(0) + torch.save(audio_spec_tensor, audio_spec_path) + + return audio_norm_path, audio_spec_path diff --git a/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/models/silero_vad.onnx b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/models/silero_vad.onnx new file mode 100644 index 0000000..127ffc9 Binary files /dev/null and b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/models/silero_vad.onnx differ diff --git a/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/trim.py b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/trim.py new file mode 100644 index 0000000..b076e86 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/trim.py @@ -0,0 +1,54 @@ +from typing import Optional, Tuple + +import numpy as np + +from .vad import SileroVoiceActivityDetector + + +def trim_silence( + audio_array: np.ndarray, + detector: SileroVoiceActivityDetector, + threshold: float = 0.2, + samples_per_chunk=480, + sample_rate=16000, + keep_chunks_before: int = 2, + keep_chunks_after: int = 2, +) -> Tuple[float, Optional[float]]: + """Returns the offset/duration of trimmed audio in seconds""" + offset_sec: float = 0.0 + duration_sec: Optional[float] = None + first_chunk: Optional[int] = None + last_chunk: Optional[int] = None + seconds_per_chunk: float = samples_per_chunk / sample_rate + + chunk = audio_array[:samples_per_chunk] + audio_array = audio_array[samples_per_chunk:] + chunk_idx: int = 0 + + # Determine main block of speech + while len(audio_array) > 0: + prob = detector(chunk, sample_rate=sample_rate) + is_speech = prob >= threshold + + if is_speech: + if first_chunk is None: + # First speech + first_chunk = chunk_idx + else: + # Last speech so far + last_chunk = chunk_idx + + chunk = audio_array[:samples_per_chunk] + audio_array = audio_array[samples_per_chunk:] + chunk_idx += 1 + + if (first_chunk is not None) and (last_chunk is not None): + first_chunk = max(0, first_chunk - keep_chunks_before) + last_chunk = min(chunk_idx, last_chunk + keep_chunks_after) + + # Compute offset/duration + offset_sec = first_chunk * seconds_per_chunk + last_sec = (last_chunk + 1) * seconds_per_chunk + duration_sec = last_sec - offset_sec + + return offset_sec, duration_sec diff --git a/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/vad.py b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/vad.py new file mode 100644 index 0000000..c9de88f --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/norm_audio/vad.py @@ -0,0 +1,54 @@ +import typing +from pathlib import Path + +import numpy as np +import onnxruntime + + +class SileroVoiceActivityDetector: + """Detects speech/silence using Silero VAD. + + https://github.com/snakers4/silero-vad + """ + + def __init__(self, onnx_path: typing.Union[str, Path]): + onnx_path = str(onnx_path) + + self.session = onnxruntime.InferenceSession(onnx_path) + self.session.intra_op_num_threads = 1 + self.session.inter_op_num_threads = 1 + + self._h = np.zeros((2, 1, 64)).astype("float32") + self._c = np.zeros((2, 1, 64)).astype("float32") + + def __call__(self, audio_array: np.ndarray, sample_rate: int = 16000): + """Return probability of speech in audio [0-1]. + + Audio must be 16Khz 16-bit mono PCM. + """ + if len(audio_array.shape) == 1: + # Add batch dimension + audio_array = np.expand_dims(audio_array, 0) + + if len(audio_array.shape) > 2: + raise ValueError( + f"Too many dimensions for input audio chunk {audio_array.shape}" + ) + + if audio_array.shape[0] > 1: + raise ValueError("Onnx model does not support batching") + + if sample_rate != 16000: + raise ValueError("Only 16Khz audio is supported") + + ort_inputs = { + "input": audio_array.astype(np.float32), + "h0": self._h, + "c0": self._c, + } + ort_outs = self.session.run(None, ort_inputs) + out, self._h, self._c = ort_outs + + out = out.squeeze(2)[:, 1] # make output type match JIT analog + + return out diff --git a/components/Universal_TTS_Finetune/piper/piper_train/preprocess.py b/components/Universal_TTS_Finetune/piper/piper_train/preprocess.py new file mode 100644 index 0000000..4b6d4ab --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/preprocess.py @@ -0,0 +1,510 @@ +#!/usr/bin/env python3 +import argparse +import csv +import dataclasses +import itertools +import json +import logging +import os +import unicodedata +from collections import Counter +from dataclasses import dataclass, field +from enum import Enum +from multiprocessing import JoinableQueue, Process, Queue +from pathlib import Path +from typing import Dict, Iterable, List, Optional + +from piper_phonemize import ( + phonemize_espeak, + phonemize_codepoints, + phoneme_ids_espeak, + phoneme_ids_codepoints, + get_codepoints_map, + get_espeak_map, + get_max_phonemes, + tashkeel_run, +) + +from .norm_audio import cache_norm_audio, make_silence_detector + +_DIR = Path(__file__).parent +_VERSION = (_DIR / "VERSION").read_text(encoding="utf-8").strip() +_LOGGER = logging.getLogger("preprocess") + + +class PhonemeType(str, Enum): + ESPEAK = "espeak" + """Phonemes come from espeak-ng""" + + TEXT = "text" + """Phonemes come from text itself""" + + +def main() -> None: + import multiprocessing + import sys + if sys.platform != "win32": + try: + multiprocessing.set_start_method("fork", force=True) + except Exception: + pass + + parser = argparse.ArgumentParser() + parser.add_argument( + "--input-dir", required=True, help="Directory with audio dataset" + ) + parser.add_argument( + "--output-dir", + required=True, + help="Directory to write output files for training", + ) + parser.add_argument("--language", required=True, help="eSpeak-ng voice") + parser.add_argument( + "--sample-rate", + type=int, + required=True, + help="Target sample rate for voice (hertz)", + ) + parser.add_argument( + "--dataset-format", choices=("ljspeech", "mycroft"), required=True + ) + parser.add_argument("--cache-dir", help="Directory to cache processed audio files") + parser.add_argument("--max-workers", type=int) + parser.add_argument( + "--single-speaker", action="store_true", help="Force single speaker dataset" + ) + parser.add_argument( + "--speaker-id", type=int, help="Add speaker id to single speaker dataset" + ) + # + parser.add_argument( + "--phoneme-type", + choices=list(PhonemeType), + default=PhonemeType.ESPEAK, + help="Type of phonemes to use (default: espeak)", + ) + parser.add_argument( + "--text-casing", + choices=("ignore", "lower", "upper", "casefold"), + default="ignore", + help="Casing applied to utterance text", + ) + # + parser.add_argument( + "--dataset-name", + help="Name of dataset to put in config (default: name of /../)", + ) + parser.add_argument( + "--audio-quality", + help="Audio quality to put in config (default: name of )", + ) + # + parser.add_argument( + "--tashkeel", + action="store_true", + help="Diacritize Arabic text with libtashkeel", + ) + # + parser.add_argument( + "--skip-audio", action="store_true", help="Don't preprocess audio" + ) + parser.add_argument( + "--debug", action="store_true", help="Print DEBUG messages to the console" + ) + args = parser.parse_args() + + if args.single_speaker and (args.speaker_id is not None): + _LOGGER.fatal("--single-speaker and --speaker-id cannot both be provided") + return + + level = logging.DEBUG if args.debug else logging.INFO + logging.basicConfig(level=level) + logging.getLogger().setLevel(level) + + # Prevent log spam + logging.getLogger("numba").setLevel(logging.WARNING) + + # Ensure enum + args.phoneme_type = PhonemeType(args.phoneme_type) + + # Convert to paths and create output directories + args.input_dir = Path(args.input_dir) + args.output_dir = Path(args.output_dir) + args.output_dir.mkdir(parents=True, exist_ok=True) + + args.cache_dir = ( + Path(args.cache_dir) + if args.cache_dir + else args.output_dir / "cache" / str(args.sample_rate) + ) + args.cache_dir.mkdir(parents=True, exist_ok=True) + + if args.dataset_format == "mycroft": + make_dataset = mycroft_dataset + else: + make_dataset = ljspeech_dataset + + # Count speakers + _LOGGER.debug("Counting number of speakers/utterances in the dataset") + speaker_counts: "Counter[str]" = Counter() + num_utterances = 0 + for utt in make_dataset(args): + speaker = utt.speaker or "" + speaker_counts[speaker] += 1 + num_utterances += 1 + + assert num_utterances > 0, "No utterances found" + + is_multispeaker = len(speaker_counts) > 1 + speaker_ids: Dict[str, int] = {} + + if is_multispeaker: + _LOGGER.info("%s speakers detected", len(speaker_counts)) + + # Assign speaker ids by most number of utterances first + for speaker_id, (speaker, _speaker_count) in enumerate( + speaker_counts.most_common() + ): + speaker_ids[speaker] = speaker_id + else: + _LOGGER.info("Single speaker dataset") + + # Write config + audio_quality = args.audio_quality or args.output_dir.name + dataset_name = args.dataset_name or args.output_dir.parent.name + + with open(args.output_dir / "config.json", "w", encoding="utf-8") as config_file: + json.dump( + { + "dataset": dataset_name, + "audio": { + "sample_rate": args.sample_rate, + "quality": audio_quality, + }, + "espeak": { + "voice": args.language, + }, + "language": { + "code": args.language, + }, + "inference": {"noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8}, + "phoneme_type": args.phoneme_type.value, + "phoneme_map": {}, + "phoneme_id_map": get_codepoints_map()[args.language] + if args.phoneme_type == PhonemeType.TEXT + else get_espeak_map(), + "num_symbols": get_max_phonemes(), + "num_speakers": len(speaker_counts), + "speaker_id_map": speaker_ids, + "piper_version": _VERSION, + }, + config_file, + ensure_ascii=False, + indent=4, + ) + _LOGGER.info("Wrote dataset config") + + if (args.max_workers is None) or (args.max_workers < 1): + args.max_workers = os.cpu_count() + + assert args.max_workers is not None + + batch_size = max(1, int(num_utterances / (args.max_workers * 2))) + queue_in: "Queue[Iterable[Utterance]]" = JoinableQueue() + queue_out: "Queue[Optional[Utterance]]" = Queue() + + # Start workers + if args.phoneme_type == PhonemeType.TEXT: + target = phonemize_batch_text + else: + target = phonemize_batch_espeak + + processes = [ + Process(target=target, args=(args, queue_in, queue_out)) + for _ in range(args.max_workers) + ] + for proc in processes: + proc.start() + + _LOGGER.info( + "Processing %s utterance(s) with %s worker(s), batch_size=%s", num_utterances, args.max_workers, batch_size + ) + with open(args.output_dir / "dataset.jsonl", "w", encoding="utf-8") as dataset_file: + for utt_batch in batched( + make_dataset(args), + batch_size, + ): + queue_in.put(utt_batch) + + _LOGGER.debug("Waiting for jobs to finish") + missing_phonemes: "Counter[str]" = Counter() + for _ in range(num_utterances): + utt = queue_out.get() + if utt is not None: + if utt.speaker is not None: + utt.speaker_id = speaker_ids[utt.speaker] + + utt_dict = dataclasses.asdict(utt) + utt_dict.pop("missing_phonemes") + + # JSONL + json.dump( + utt_dict, + dataset_file, + ensure_ascii=False, + cls=PathEncoder, + ) + print("", file=dataset_file) + + missing_phonemes.update(utt.missing_phonemes) + + if missing_phonemes: + for phoneme, count in missing_phonemes.most_common(): + _LOGGER.warning("Missing %s (%s)", phoneme, count) + + _LOGGER.warning("Missing %s phoneme(s)", len(missing_phonemes)) + + # Signal workers to stop + for proc in processes: + queue_in.put(None) + + # Wait for workers to stop + for proc in processes: + proc.join(timeout=1) + + +# ----------------------------------------------------------------------------- + + +def get_text_casing(casing: str): + if casing == "lower": + return str.lower + + if casing == "upper": + return str.upper + + if casing == "casefold": + return str.casefold + + return lambda s: s + + +def phonemize_batch_espeak( + args: argparse.Namespace, queue_in: JoinableQueue, queue_out: Queue +): + try: + casing = get_text_casing(args.text_casing) + silence_detector = make_silence_detector() + + while True: + utt_batch = queue_in.get() + if utt_batch is None: + break + + for utt in utt_batch: + try: + if args.tashkeel: + utt.text = tashkeel_run(utt.text) + + _LOGGER.debug(utt) + all_phonemes = phonemize_espeak(casing(utt.text), args.language) + + # Flatten + utt.phonemes = [ + phoneme + for sentence_phonemes in all_phonemes + for phoneme in sentence_phonemes + ] + utt.phoneme_ids = phoneme_ids_espeak( + utt.phonemes, + missing_phonemes=utt.missing_phonemes, + ) + if not args.skip_audio: + utt.audio_norm_path, utt.audio_spec_path = cache_norm_audio( + utt.audio_path, + args.cache_dir, + silence_detector, + args.sample_rate, + ) + queue_out.put(utt) + except TimeoutError: + _LOGGER.error("Skipping utterance due to timeout: %s", utt) + except Exception: + _LOGGER.exception("Failed to process utterance: %s", utt) + queue_out.put(None) + + queue_in.task_done() + except Exception: + _LOGGER.exception("phonemize_batch_espeak") + + +def phonemize_batch_text( + args: argparse.Namespace, queue_in: JoinableQueue, queue_out: Queue +): + try: + casing = get_text_casing(args.text_casing) + silence_detector = make_silence_detector() + + while True: + utt_batch = queue_in.get() + if utt_batch is None: + break + + for utt in utt_batch: + try: + if args.tashkeel: + utt.text = tashkeel_run(utt.text) + + _LOGGER.debug(utt) + all_phonemes = phonemize_codepoints(casing(utt.text)) + # Flatten + utt.phonemes = [ + phoneme + for sentence_phonemes in all_phonemes + for phoneme in sentence_phonemes + ] + utt.phoneme_ids = phoneme_ids_codepoints( + args.language, + utt.phonemes, + missing_phonemes=utt.missing_phonemes, + ) + if not args.skip_audio: + utt.audio_norm_path, utt.audio_spec_path = cache_norm_audio( + utt.audio_path, + args.cache_dir, + silence_detector, + args.sample_rate, + ) + queue_out.put(utt) + except TimeoutError: + _LOGGER.error("Skipping utterance due to timeout: %s", utt) + except Exception: + _LOGGER.exception("Failed to process utterance: %s", utt) + queue_out.put(None) + + queue_in.task_done() + except Exception: + _LOGGER.exception("phonemize_batch_text") + + +# ----------------------------------------------------------------------------- + + +@dataclass +class Utterance: + text: str + audio_path: Path + speaker: Optional[str] = None + speaker_id: Optional[int] = None + phonemes: Optional[List[str]] = None + phoneme_ids: Optional[List[int]] = None + audio_norm_path: Optional[Path] = None + audio_spec_path: Optional[Path] = None + missing_phonemes: "Counter[str]" = field(default_factory=Counter) + + +class PathEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, Path): + return str(o) + return super().default(o) + + +def ljspeech_dataset(args: argparse.Namespace) -> Iterable[Utterance]: + dataset_dir = args.input_dir + is_single_speaker = args.single_speaker + speaker_id = args.speaker_id + skip_audio = args.skip_audio + + # filename|speaker|text + # speaker is optional + metadata_path = dataset_dir / "metadata.csv" + assert metadata_path.exists(), f"Missing {metadata_path}" + + wav_dir = dataset_dir / "wav" + if not wav_dir.is_dir(): + wav_dir = dataset_dir / "wavs" + + with open(metadata_path, "r", encoding="utf-8") as csv_file: + reader = csv.reader(csv_file, delimiter="|", quoting=csv.QUOTE_NONE) + for row in reader: + assert len(row) >= 2, "Not enough columns" + + speaker: Optional[str] = None + if is_single_speaker or (len(row) == 2): + filename, text = row[0], row[-1] + else: + filename, speaker, text = row[0], row[1], row[-1] + + # Try file name relative to metadata + wav_path = metadata_path.parent / filename + + if not wav_path.exists(): + # Try with .wav + wav_path = metadata_path.parent / f"{filename}.wav" + + if not wav_path.exists(): + # Try wav/ or wavs/ + wav_path = wav_dir / filename + + if not wav_path.exists(): + # Try with .wav + wav_path = wav_dir / f"{filename}.wav" + + if not skip_audio: + if not wav_path.exists(): + _LOGGER.warning("Missing %s", filename) + continue + + if wav_path.stat().st_size == 0: + _LOGGER.warning("Empty file: %s", wav_path) + continue + + yield Utterance( + text=text, audio_path=wav_path, speaker=speaker, speaker_id=speaker_id + ) + + +def mycroft_dataset(args: argparse.Namespace) -> Iterable[Utterance]: + dataset_dir = args.input_dir + is_single_speaker = args.single_speaker + skip_audio = args.skip_audio + + speaker_id = 0 + for metadata_path in dataset_dir.glob("**/*-metadata.txt"): + speaker = metadata_path.parent.name if not is_single_speaker else None + with open(metadata_path, "r", encoding="utf-8") as csv_file: + # filename|text|length + reader = csv.reader(csv_file, delimiter="|", quoting=csv.QUOTE_NONE) + for row in reader: + filename, text = row[0], row[1] + wav_path = metadata_path.parent / filename + if skip_audio or (wav_path.exists() and (wav_path.stat().st_size > 0)): + yield Utterance( + text=text, + audio_path=wav_path, + speaker=speaker, + speaker_id=speaker_id if not is_single_speaker else None, + ) + speaker_id += 1 + + +# ----------------------------------------------------------------------------- + + +def batched(iterable, n): + "Batch data into lists of length n. The last batch may be shorter." + # batched('ABCDEFG', 3) --> ABC DEF G + if n < 1: + raise ValueError("n must be at least one") + it = iter(iterable) + batch = list(itertools.islice(it, n)) + while batch: + yield batch + batch = list(itertools.islice(it, n)) + + +# ----------------------------------------------------------------------------- + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/py.typed b/components/Universal_TTS_Finetune/piper/piper_train/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/components/Universal_TTS_Finetune/piper/piper_train/pylintrc b/components/Universal_TTS_Finetune/piper/piper_train/pylintrc new file mode 100644 index 0000000..ea7eeab --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/pylintrc @@ -0,0 +1,40 @@ +[MESSAGES CONTROL] +disable= + format, + abstract-class-little-used, + abstract-method, + cyclic-import, + duplicate-code, + global-statement, + import-outside-toplevel, + inconsistent-return-statements, + locally-disabled, + not-context-manager, + redefined-variable-type, + too-few-public-methods, + too-many-arguments, + too-many-branches, + too-many-instance-attributes, + too-many-lines, + too-many-locals, + too-many-public-methods, + too-many-return-statements, + too-many-statements, + too-many-boolean-expressions, + unnecessary-pass, + unused-argument, + broad-except, + too-many-nested-blocks, + invalid-name, + unused-import, + no-self-use, + fixme, + useless-super-delegation, + missing-module-docstring, + missing-class-docstring, + missing-function-docstring, + import-error, + relative-beyond-top-level + +[FORMAT] +expected-line-ending-format=LF diff --git a/components/Universal_TTS_Finetune/piper/piper_train/select_speaker.py b/components/Universal_TTS_Finetune/piper/piper_train/select_speaker.py new file mode 100644 index 0000000..fca31db --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/select_speaker.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python3 +import argparse +import csv +import sys +from collections import Counter, defaultdict + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--speaker-number", type=int) + parser.add_argument("--speaker-name") + args = parser.parse_args() + + assert (args.speaker_number is not None) or (args.speaker_name is not None) + + reader = csv.reader(sys.stdin, delimiter="|", quoting=csv.QUOTE_NONE) + writer = csv.writer(sys.stdout, delimiter="|") + + if args.speaker_name is not None: + for row in reader: + audio, speaker_id, text = row[0], row[1], row[-1] + if args.speaker_name == speaker_id: + writer.writerow((audio, text)) + else: + utterances = defaultdict(list) + counts = Counter() + for row in reader: + audio, speaker_id, text = row[0], row[1], row[-1] + utterances[speaker_id].append((audio, text)) + counts[speaker_id] += 1 + + writer = csv.writer(sys.stdout, delimiter="|") + for i, (speaker_id, _count) in enumerate(counts.most_common()): + if i == args.speaker_number: + for row in utterances[speaker_id]: + writer.writerow(row) + + print(speaker_id, file=sys.stderr) + break + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/piper/piper_train/setup.cfg b/components/Universal_TTS_Finetune/piper/piper_train/setup.cfg new file mode 100644 index 0000000..0076bbf --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/setup.cfg @@ -0,0 +1,22 @@ +[flake8] +# To work with Black +max-line-length = 88 +# E501: line too long +# W503: Line break occurred before a binary operator +# E203: Whitespace before ':' +# D202 No blank lines allowed after function docstring +# W504 line break after binary operator +ignore = + E501, + W503, + E203, + D202, + W504 + +[isort] +multi_line_output = 3 +include_trailing_comma=True +force_grid_wrap=0 +use_parentheses=True +line_length=88 +indent = " " diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/__init__.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/attentions.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/attentions.py new file mode 100644 index 0000000..20b7a9e --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/attentions.py @@ -0,0 +1,427 @@ +import math +import typing + +import torch +from torch import nn +from torch.nn import functional as F + +from .commons import subsequent_mask +from .modules import LayerNorm + + +class Encoder(nn.Module): + def __init__( + self, + hidden_channels: int, + filter_channels: int, + n_heads: int, + n_layers: int, + kernel_size: int = 1, + p_dropout: float = 0.0, + window_size: int = 4, + **kwargs + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.window_size = window_size + + self.drop = nn.Dropout(p_dropout) + self.attn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_2 = nn.ModuleList() + for i in range(self.n_layers): + self.attn_layers.append( + MultiHeadAttention( + hidden_channels, + hidden_channels, + n_heads, + p_dropout=p_dropout, + window_size=window_size, + ) + ) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN( + hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + p_dropout=p_dropout, + ) + ) + self.norm_layers_2.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask): + attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + x = x * x_mask + for attn_layer, norm_layer_1, ffn_layer, norm_layer_2 in zip( + self.attn_layers, self.norm_layers_1, self.ffn_layers, self.norm_layers_2 + ): + y = attn_layer(x, x, attn_mask) + y = self.drop(y) + x = norm_layer_1(x + y) + + y = ffn_layer(x, x_mask) + y = self.drop(y) + x = norm_layer_2(x + y) + x = x * x_mask + return x + + +class Decoder(nn.Module): + def __init__( + self, + hidden_channels: int, + filter_channels: int, + n_heads: int, + n_layers: int, + kernel_size: int = 1, + p_dropout: float = 0.0, + proximal_bias: bool = False, + proximal_init: bool = True, + **kwargs + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.proximal_bias = proximal_bias + self.proximal_init = proximal_init + + self.drop = nn.Dropout(p_dropout) + self.self_attn_layers = nn.ModuleList() + self.norm_layers_0 = nn.ModuleList() + self.encdec_attn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_2 = nn.ModuleList() + for i in range(self.n_layers): + self.self_attn_layers.append( + MultiHeadAttention( + hidden_channels, + hidden_channels, + n_heads, + p_dropout=p_dropout, + proximal_bias=proximal_bias, + proximal_init=proximal_init, + ) + ) + self.norm_layers_0.append(LayerNorm(hidden_channels)) + self.encdec_attn_layers.append( + MultiHeadAttention( + hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout + ) + ) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN( + hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + p_dropout=p_dropout, + causal=True, + ) + ) + self.norm_layers_2.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask, h, h_mask): + """ + x: decoder input + h: encoder output + """ + self_attn_mask = subsequent_mask(x_mask.size(2)).type_as(x) + encdec_attn_mask = h_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + x = x * x_mask + for i in range(self.n_layers): + y = self.self_attn_layers[i](x, x, self_attn_mask) + y = self.drop(y) + x = self.norm_layers_0[i](x + y) + + y = self.encdec_attn_layers[i](x, h, encdec_attn_mask) + y = self.drop(y) + x = self.norm_layers_1[i](x + y) + + y = self.ffn_layers[i](x, x_mask) + y = self.drop(y) + x = self.norm_layers_2[i](x + y) + x = x * x_mask + return x + + +class MultiHeadAttention(nn.Module): + def __init__( + self, + channels: int, + out_channels: int, + n_heads: int, + p_dropout: float = 0.0, + window_size: typing.Optional[int] = None, + heads_share: bool = True, + block_length: typing.Optional[int] = None, + proximal_bias: bool = False, + proximal_init: bool = False, + ): + super().__init__() + assert channels % n_heads == 0 + + self.channels = channels + self.out_channels = out_channels + self.n_heads = n_heads + self.p_dropout = p_dropout + self.window_size = window_size + self.heads_share = heads_share + self.block_length = block_length + self.proximal_bias = proximal_bias + self.proximal_init = proximal_init + self.attn = torch.zeros(1) + + self.k_channels = channels // n_heads + self.conv_q = nn.Conv1d(channels, channels, 1) + self.conv_k = nn.Conv1d(channels, channels, 1) + self.conv_v = nn.Conv1d(channels, channels, 1) + self.conv_o = nn.Conv1d(channels, out_channels, 1) + self.drop = nn.Dropout(p_dropout) + + if window_size is not None: + n_heads_rel = 1 if heads_share else n_heads + rel_stddev = self.k_channels**-0.5 + self.emb_rel_k = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev + ) + self.emb_rel_v = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev + ) + + nn.init.xavier_uniform_(self.conv_q.weight) + nn.init.xavier_uniform_(self.conv_k.weight) + nn.init.xavier_uniform_(self.conv_v.weight) + if proximal_init: + with torch.no_grad(): + self.conv_k.weight.copy_(self.conv_q.weight) + self.conv_k.bias.copy_(self.conv_q.bias) + + def forward(self, x, c, attn_mask=None): + q = self.conv_q(x) + k = self.conv_k(c) + v = self.conv_v(c) + + x, self.attn = self.attention(q, k, v, mask=attn_mask) + + x = self.conv_o(x) + return x + + def attention(self, query, key, value, mask=None): + # reshape [b, d, t] -> [b, n_h, t, d_k] + b, d, t_s, t_t = (key.size(0), key.size(1), key.size(2), query.size(2)) + query = query.view(b, self.n_heads, self.k_channels, t_t).transpose(2, 3) + key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) + value = value.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) + + scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1)) + if self.window_size is not None: + assert ( + t_s == t_t + ), "Relative attention is only available for self-attention." + key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s) + rel_logits = self._matmul_with_relative_keys( + query / math.sqrt(self.k_channels), key_relative_embeddings + ) + scores_local = self._relative_position_to_absolute_position(rel_logits) + scores = scores + scores_local + if self.proximal_bias: + assert t_s == t_t, "Proximal bias is only available for self-attention." + scores = scores + self._attention_bias_proximal(t_s).type_as(scores) + if mask is not None: + scores = scores.masked_fill(mask == 0, -1e4) + if self.block_length is not None: + assert ( + t_s == t_t + ), "Local attention is only available for self-attention." + block_mask = ( + torch.ones_like(scores) + .triu(-self.block_length) + .tril(self.block_length) + ) + scores = scores.masked_fill(block_mask == 0, -1e4) + p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] + p_attn = self.drop(p_attn) + output = torch.matmul(p_attn, value) + if self.window_size is not None: + relative_weights = self._absolute_position_to_relative_position(p_attn) + value_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_v, t_s + ) + output = output + self._matmul_with_relative_values( + relative_weights, value_relative_embeddings + ) + output = ( + output.transpose(2, 3).contiguous().view(b, d, t_t) + ) # [b, n_h, t_t, d_k] -> [b, d, t_t] + return output, p_attn + + def _matmul_with_relative_values(self, x, y): + """ + x: [b, h, l, m] + y: [h or 1, m, d] + ret: [b, h, l, d] + """ + ret = torch.matmul(x, y.unsqueeze(0)) + return ret + + def _matmul_with_relative_keys(self, x, y): + """ + x: [b, h, l, d] + y: [h or 1, m, d] + ret: [b, h, l, m] + """ + ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) + return ret + + def _get_relative_embeddings(self, relative_embeddings, length: int): + # max_relative_position = 2 * self.window_size + 1 + # Pad first before slice to avoid using cond ops. + pad_length = max(length - (self.window_size + 1), 0) + slice_start_position = max((self.window_size + 1) - length, 0) + slice_end_position = slice_start_position + 2 * length - 1 + if pad_length > 0: + padded_relative_embeddings = F.pad( + relative_embeddings, + # convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]]), + (0, 0, pad_length, pad_length, 0, 0), + ) + else: + padded_relative_embeddings = relative_embeddings + used_relative_embeddings = padded_relative_embeddings[ + :, slice_start_position:slice_end_position + ] + return used_relative_embeddings + + def _relative_position_to_absolute_position(self, x): + """ + x: [b, h, l, 2*l-1] + ret: [b, h, l, l] + """ + batch, heads, length, _ = x.size() + + # Concat columns of pad to shift from relative to absolute indexing. + # x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, 1]])) + x = F.pad(x, (0, 1, 0, 0, 0, 0, 0, 0)) + + # Concat extra elements so to add up to shape (len+1, 2*len-1). + x_flat = x.view([batch, heads, length * 2 * length]) + # x_flat = F.pad(x_flat, convert_pad_shape([[0, 0], [0, 0], [0, length - 1]])) + x_flat = F.pad(x_flat, (0, length - 1, 0, 0, 0, 0)) + + # Reshape and slice out the padded elements. + x_final = x_flat.view([batch, heads, length + 1, (2 * length) - 1])[ + :, :, :length, length - 1 : + ] + return x_final + + def _absolute_position_to_relative_position(self, x): + """ + x: [b, h, l, l] + ret: [b, h, l, 2*l-1] + """ + batch, heads, length, _ = x.size() + + # padd along column + # x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length - 1]])) + x = F.pad(x, (0, length - 1, 0, 0, 0, 0, 0, 0)) + x_flat = x.view([batch, heads, (length * length) + (length * (length - 1))]) + # add 0's in the beginning that will skew the elements after reshape + # x_flat = F.pad(x_flat, convert_pad_shape([[0, 0], [0, 0], [length, 0]])) + x_flat = F.pad(x_flat, (length, 0, 0, 0, 0, 0)) + x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] + return x_final + + def _attention_bias_proximal(self, length: int): + """Bias for self-attention to encourage attention to close positions. + Args: + length: an integer scalar. + Returns: + a Tensor with shape [1, 1, length, length] + """ + r = torch.arange(length, dtype=torch.float32) + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) + + +class FFN(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + filter_channels: int, + kernel_size: int, + p_dropout: float = 0.0, + activation: str = "", + causal: bool = False, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.activation = activation + self.causal = causal + + self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size) + self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size) + self.drop = nn.Dropout(p_dropout) + + def forward(self, x, x_mask): + if self.causal: + padding1 = self._causal_padding(x * x_mask) + else: + padding1 = self._same_padding(x * x_mask) + + x = self.conv_1(padding1) + + if self.activation == "gelu": + x = x * torch.sigmoid(1.702 * x) + else: + x = torch.relu(x) + x = self.drop(x) + + if self.causal: + padding2 = self._causal_padding(x * x_mask) + else: + padding2 = self._same_padding(x * x_mask) + + x = self.conv_2(padding2) + + return x * x_mask + + def _causal_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = self.kernel_size - 1 + pad_r = 0 + # padding = [[0, 0], [0, 0], [pad_l, pad_r]] + # x = F.pad(x, convert_pad_shape(padding)) + x = F.pad(x, (pad_l, pad_r, 0, 0, 0, 0)) + return x + + def _same_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = (self.kernel_size - 1) // 2 + pad_r = self.kernel_size // 2 + # padding = [[0, 0], [0, 0], [pad_l, pad_r]] + # x = F.pad(x, convert_pad_shape(padding)) + x = F.pad(x, (pad_l, pad_r, 0, 0, 0, 0)) + return x diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/commons.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/commons.py new file mode 100644 index 0000000..3f334c3 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/commons.py @@ -0,0 +1,147 @@ +import logging +import math +from typing import Optional + +import torch +from torch.nn import functional as F + +_LOGGER = logging.getLogger("vits.commons") + + +def init_weights(m, mean=0.0, std=0.01): + classname = m.__class__.__name__ + if classname.find("Conv") != -1: + m.weight.data.normal_(mean, std) + + +def get_padding(kernel_size, dilation=1): + return int((kernel_size * dilation - dilation) / 2) + + +def intersperse(lst, item): + result = [item] * (len(lst) * 2 + 1) + result[1::2] = lst + return result + + +def kl_divergence(m_p, logs_p, m_q, logs_q): + """KL(P||Q)""" + kl = (logs_q - logs_p) - 0.5 + kl += ( + 0.5 * (torch.exp(2.0 * logs_p) + ((m_p - m_q) ** 2)) * torch.exp(-2.0 * logs_q) + ) + return kl + + +def rand_gumbel(shape): + """Sample from the Gumbel distribution, protect from overflows.""" + uniform_samples = torch.rand(shape) * 0.99998 + 0.00001 + return -torch.log(-torch.log(uniform_samples)) + + +def rand_gumbel_like(x): + g = rand_gumbel(x.size()).to(dtype=x.dtype, device=x.device) + return g + + +def slice_segments(x, ids_str, segment_size=4): + ret = torch.zeros_like(x[:, :, :segment_size]) + for i in range(x.size(0)): + idx_str = max(0, ids_str[i]) + idx_end = idx_str + segment_size + ret[i] = x[i, :, idx_str:idx_end] + return ret + + +def rand_slice_segments(x, x_lengths=None, segment_size=4): + b, d, t = x.size() + if x_lengths is None: + x_lengths = t + ids_str_max = x_lengths - segment_size + 1 + ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(dtype=torch.long) + ret = slice_segments(x, ids_str, segment_size) + return ret, ids_str + + +def get_timing_signal_1d(length, channels, min_timescale=1.0, max_timescale=1.0e4): + position = torch.arange(length, dtype=torch.float) + num_timescales = channels // 2 + log_timescale_increment = math.log(float(max_timescale) / float(min_timescale)) / ( + num_timescales - 1 + ) + inv_timescales = min_timescale * torch.exp( + torch.arange(num_timescales, dtype=torch.float) * -log_timescale_increment + ) + scaled_time = position.unsqueeze(0) * inv_timescales.unsqueeze(1) + signal = torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], 0) + signal = F.pad(signal, [0, 0, 0, channels % 2]) + signal = signal.view(1, channels, length) + return signal + + +def add_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4): + b, channels, length = x.size() + signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale) + return x + signal.to(dtype=x.dtype, device=x.device) + + +def cat_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4, axis=1): + b, channels, length = x.size() + signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale) + return torch.cat([x, signal.to(dtype=x.dtype, device=x.device)], axis) + + +def subsequent_mask(length: int): + mask = torch.tril(torch.ones(length, length)).unsqueeze(0).unsqueeze(0) + return mask + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): + n_channels_int = n_channels[0] + in_act = input_a + input_b + t_act = torch.tanh(in_act[:, :n_channels_int, :]) + s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +def sequence_mask(length, max_length: Optional[int] = None): + if max_length is None: + max_length = length.max() + x = torch.arange(max_length, dtype=length.dtype, device=length.device) + return x.unsqueeze(0) < length.unsqueeze(1) + + +def generate_path(duration, mask): + """ + duration: [b, 1, t_x] + mask: [b, 1, t_y, t_x] + """ + b, _, t_y, t_x = mask.shape + cum_duration = torch.cumsum(duration, -1) + + cum_duration_flat = cum_duration.view(b * t_x) + path = sequence_mask(cum_duration_flat, t_y).type_as(mask) + path = path.view(b, t_x, t_y) + path = path - F.pad(path, (0, 0, 1, 0, 0, 0))[:, :-1] + path = path.unsqueeze(1).transpose(2, 3) * mask + return path + + +def clip_grad_value_(parameters, clip_value, norm_type=2): + if isinstance(parameters, torch.Tensor): + parameters = [parameters] + parameters = list(filter(lambda p: p.grad is not None, parameters)) + norm_type = float(norm_type) + if clip_value is not None: + clip_value = float(clip_value) + + total_norm = 0 + for p in parameters: + param_norm = p.grad.data.norm(norm_type) + total_norm += param_norm.item() ** norm_type + if clip_value is not None: + p.grad.data.clamp_(min=-clip_value, max=clip_value) + total_norm = total_norm ** (1.0 / norm_type) + return total_norm diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/config.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/config.py new file mode 100644 index 0000000..e878f02 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/config.py @@ -0,0 +1,330 @@ +"""Configuration classes""" +from dataclasses import dataclass, field +from typing import Optional, Tuple + + +@dataclass +class MelAudioConfig: + filter_length: int = 1024 + hop_length: int = 256 + win_length: int = 1024 + mel_channels: int = 80 + sample_rate: int = 22050 + sample_bytes: int = 2 + channels: int = 1 + mel_fmin: float = 0.0 + mel_fmax: Optional[float] = None + + +@dataclass +class ModelAudioConfig: + resblock: str + resblock_kernel_sizes: Tuple[int, ...] + resblock_dilation_sizes: Tuple[Tuple[int, ...], ...] + upsample_rates: Tuple[int, ...] + upsample_initial_channel: int + upsample_kernel_sizes: Tuple[int, ...] + + @staticmethod + def low_quality() -> "ModelAudioConfig": + return ModelAudioConfig( + resblock="2", + resblock_kernel_sizes=(3, 5, 7), + resblock_dilation_sizes=( + (1, 2), + (2, 6), + (3, 12), + ), + upsample_rates=(8, 8, 4), + upsample_initial_channel=256, + upsample_kernel_sizes=(16, 16, 8), + ) + + @staticmethod + def high_quality() -> "ModelAudioConfig": + return ModelAudioConfig( + resblock="1", + resblock_kernel_sizes=(3, 7, 11), + resblock_dilation_sizes=( + (1, 3, 5), + (1, 3, 5), + (1, 3, 5), + ), + upsample_rates=(8, 8, 2, 2), + upsample_initial_channel=512, + upsample_kernel_sizes=(16, 16, 4, 4), + ) + + +@dataclass +class ModelConfig: + num_symbols: int + n_speakers: int + audio: ModelAudioConfig + mel: MelAudioConfig = field(default_factory=MelAudioConfig) + + inter_channels: int = 192 + hidden_channels: int = 192 + filter_channels: int = 768 + n_heads: int = 2 + n_layers: int = 6 + kernel_size: int = 3 + p_dropout: float = 0.1 + n_layers_q: int = 3 + use_spectral_norm: bool = False + gin_channels: int = 0 # single speaker + use_sdp: bool = True # StochasticDurationPredictor + segment_size: int = 8192 + + @property + def is_multispeaker(self) -> bool: + return self.n_speakers > 1 + + @property + def resblock(self) -> str: + return self.audio.resblock + + @property + def resblock_kernel_sizes(self) -> Tuple[int, ...]: + return self.audio.resblock_kernel_sizes + + @property + def resblock_dilation_sizes(self) -> Tuple[Tuple[int, ...], ...]: + return self.audio.resblock_dilation_sizes + + @property + def upsample_rates(self) -> Tuple[int, ...]: + return self.audio.upsample_rates + + @property + def upsample_initial_channel(self) -> int: + return self.audio.upsample_initial_channel + + @property + def upsample_kernel_sizes(self) -> Tuple[int, ...]: + return self.audio.upsample_kernel_sizes + + def __post_init__(self): + if self.is_multispeaker and (self.gin_channels == 0): + self.gin_channels = 512 + + +@dataclass +class TrainingConfig: + learning_rate: float = 2e-4 + betas: Tuple[float, float] = field(default=(0.8, 0.99)) + eps: float = 1e-9 + # batch_size: int = 32 + fp16_run: bool = False + lr_decay: float = 0.999875 + init_lr_ratio: float = 1.0 + warmup_epochs: int = 0 + c_mel: int = 45 + c_kl: float = 1.0 + grad_clip: Optional[float] = None + + +# @dataclass +# class PhonemesConfig(DataClassJsonMixin): +# phoneme_separator: str = " " +# """Separator between individual phonemes in CSV input""" + +# word_separator: str = "#" +# """Separator between word phonemes in CSV input (must not match phoneme_separator)""" + +# phoneme_to_id: typing.Optional[typing.Dict[str, int]] = None +# pad: typing.Optional[str] = "_" +# bos: typing.Optional[str] = None +# eos: typing.Optional[str] = None +# blank: typing.Optional[str] = "#" +# blank_word: typing.Optional[str] = None +# blank_between: typing.Union[str, BlankBetween] = BlankBetween.WORDS +# blank_at_start: bool = True +# blank_at_end: bool = True +# simple_punctuation: bool = True +# punctuation_map: typing.Optional[typing.Dict[str, str]] = None +# separate: typing.Optional[typing.List[str]] = None +# separate_graphemes: bool = False +# separate_tones: bool = False +# tone_before: bool = False +# phoneme_map: typing.Optional[typing.Dict[str, typing.List[str]]] = None +# auto_bos_eos: bool = False +# minor_break: typing.Optional[str] = IPA.BREAK_MINOR.value +# major_break: typing.Optional[str] = IPA.BREAK_MAJOR.value +# break_phonemes_into_graphemes: bool = False +# break_phonemes_into_codepoints: bool = False +# drop_stress: bool = False +# symbols: typing.Optional[typing.List[str]] = None + +# def split_word_phonemes(self, phonemes_str: str) -> typing.List[typing.List[str]]: +# """Split phonemes string into a list of lists (outer is words, inner is individual phonemes in each word)""" +# return [ +# word_phonemes_str.split(self.phoneme_separator) +# if self.phoneme_separator +# else list(word_phonemes_str) +# for word_phonemes_str in phonemes_str.split(self.word_separator) +# ] + +# def join_word_phonemes(self, word_phonemes: typing.List[typing.List[str]]) -> str: +# """Split phonemes string into a list of lists (outer is words, inner is individual phonemes in each word)""" +# return self.word_separator.join( +# self.phoneme_separator.join(wp) for wp in word_phonemes +# ) + + +# class Phonemizer(str, Enum): +# SYMBOLS = "symbols" +# GRUUT = "gruut" +# ESPEAK = "espeak" +# EPITRAN = "epitran" + + +# class Aligner(str, Enum): +# KALDI_ALIGN = "kaldi_align" + + +# class TextCasing(str, Enum): +# LOWER = "lower" +# UPPER = "upper" + + +# class MetadataFormat(str, Enum): +# TEXT = "text" +# PHONEMES = "phonemes" +# PHONEME_IDS = "ids" + + +# @dataclass +# class DatasetConfig: +# name: str +# metadata_format: MetadataFormat = MetadataFormat.TEXT +# multispeaker: bool = False +# text_language: typing.Optional[str] = None +# audio_dir: typing.Optional[typing.Union[str, Path]] = None +# cache_dir: typing.Optional[typing.Union[str, Path]] = None + +# def get_cache_dir(self, output_dir: typing.Union[str, Path]) -> Path: +# if self.cache_dir is not None: +# cache_dir = Path(self.cache_dir) +# else: +# cache_dir = Path("cache") / self.name + +# if not cache_dir.is_absolute(): +# cache_dir = Path(output_dir) / str(cache_dir) + +# return cache_dir + + +# @dataclass +# class AlignerConfig: +# aligner: typing.Optional[Aligner] = None +# casing: typing.Optional[TextCasing] = None + + +# @dataclass +# class InferenceConfig: +# length_scale: float = 1.0 +# noise_scale: float = 0.667 +# noise_w: float = 0.8 + + +# @dataclass +# class TrainingConfig(DataClassJsonMixin): +# seed: int = 1234 +# epochs: int = 10000 +# learning_rate: float = 2e-4 +# betas: typing.Tuple[float, float] = field(default=(0.8, 0.99)) +# eps: float = 1e-9 +# batch_size: int = 32 +# fp16_run: bool = False +# lr_decay: float = 0.999875 +# segment_size: int = 8192 +# init_lr_ratio: float = 1.0 +# warmup_epochs: int = 0 +# c_mel: int = 45 +# c_kl: float = 1.0 +# grad_clip: typing.Optional[float] = None + +# min_seq_length: typing.Optional[int] = None +# max_seq_length: typing.Optional[int] = None + +# min_spec_length: typing.Optional[int] = None +# max_spec_length: typing.Optional[int] = None + +# min_speaker_utterances: typing.Optional[int] = None + +# last_epoch: int = 1 +# global_step: int = 1 +# best_loss: typing.Optional[float] = None +# audio: AudioConfig = field(default_factory=AudioConfig) +# model: ModelConfig = field(default_factory=ModelConfig) +# phonemes: PhonemesConfig = field(default_factory=PhonemesConfig) +# text_aligner: AlignerConfig = field(default_factory=AlignerConfig) +# text_language: typing.Optional[str] = None +# phonemizer: typing.Optional[Phonemizer] = None +# datasets: typing.List[DatasetConfig] = field(default_factory=list) +# inference: InferenceConfig = field(default_factory=InferenceConfig) + +# version: int = 1 +# git_commit: str = "" + +# @property +# def is_multispeaker(self): +# return self.model.is_multispeaker or any(d.multispeaker for d in self.datasets) + +# def save(self, config_file: typing.TextIO): +# """Save config as JSON to a file""" +# json.dump(self.to_dict(), config_file, indent=4) + +# def get_speaker_id(self, dataset_name: str, speaker_name: str) -> int: +# if self.speaker_id_map is None: +# self.speaker_id_map = {} + +# full_speaker_name = f"{dataset_name}_{speaker_name}" +# speaker_id = self.speaker_id_map.get(full_speaker_name) +# if speaker_id is None: +# speaker_id = len(self.speaker_id_map) +# self.speaker_id_map[full_speaker_name] = speaker_id + +# return speaker_id + +# @staticmethod +# def load(config_file: typing.TextIO) -> "TrainingConfig": +# """Load config from a JSON file""" +# return TrainingConfig.from_json(config_file.read()) + +# @staticmethod +# def load_and_merge( +# config: "TrainingConfig", +# config_files: typing.Iterable[typing.Union[str, Path, typing.TextIO]], +# ) -> "TrainingConfig": +# """Loads one or more JSON configuration files and overlays them on top of an existing config""" +# base_dict = config.to_dict() +# for maybe_config_file in config_files: +# if isinstance(maybe_config_file, (str, Path)): +# # File path +# config_file = open(maybe_config_file, "r", encoding="utf-8") +# else: +# # File object +# config_file = maybe_config_file + +# with config_file: +# # Load new config and overlay on existing config +# new_dict = json.load(config_file) +# TrainingConfig.recursive_update(base_dict, new_dict) + +# return TrainingConfig.from_dict(base_dict) + +# @staticmethod +# def recursive_update( +# base_dict: typing.Dict[typing.Any, typing.Any], +# new_dict: typing.Mapping[typing.Any, typing.Any], +# ) -> None: +# """Recursively overwrites values in base dictionary with values from new dictionary""" +# for key, value in new_dict.items(): +# if isinstance(value, collections.Mapping) and ( +# base_dict.get(key) is not None +# ): +# TrainingConfig.recursive_update(base_dict[key], value) +# else: +# base_dict[key] = value diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/dataset.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/dataset.py new file mode 100644 index 0000000..258425f --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/dataset.py @@ -0,0 +1,214 @@ +import json +import logging +from dataclasses import dataclass +from pathlib import Path +from typing import Iterable, List, Optional, Sequence, Union + +import torch +from torch import FloatTensor, LongTensor +from torch.utils.data import Dataset + +_LOGGER = logging.getLogger("vits.dataset") + + +@dataclass +class Utterance: + phoneme_ids: List[int] + audio_norm_path: Path + audio_spec_path: Path + speaker_id: Optional[int] = None + text: Optional[str] = None + + +@dataclass +class UtteranceTensors: + phoneme_ids: LongTensor + spectrogram: FloatTensor + audio_norm: FloatTensor + speaker_id: Optional[LongTensor] = None + text: Optional[str] = None + + @property + def spec_length(self) -> int: + return self.spectrogram.size(1) + + +@dataclass +class Batch: + phoneme_ids: LongTensor + phoneme_lengths: LongTensor + spectrograms: FloatTensor + spectrogram_lengths: LongTensor + audios: FloatTensor + audio_lengths: LongTensor + speaker_ids: Optional[LongTensor] = None + + +class PiperDataset(Dataset): + """ + Dataset format: + + * phoneme_ids (required) + * audio_norm_path (required) + * audio_spec_path (required) + * text (optional) + * phonemes (optional) + * audio_path (optional) + """ + + def __init__( + self, + dataset_paths: List[Union[str, Path]], + max_phoneme_ids: Optional[int] = None, + ): + self.utterances: List[Utterance] = [] + + for dataset_path in dataset_paths: + dataset_path = Path(dataset_path) + _LOGGER.debug("Loading dataset: %s", dataset_path) + self.utterances.extend( + PiperDataset.load_dataset(dataset_path, max_phoneme_ids=max_phoneme_ids) + ) + + def __len__(self): + return len(self.utterances) + + def __getitem__(self, idx) -> UtteranceTensors: + utt = self.utterances[idx] + return UtteranceTensors( + phoneme_ids=LongTensor(utt.phoneme_ids), + audio_norm=torch.load(utt.audio_norm_path), + spectrogram=torch.load(utt.audio_spec_path), + speaker_id=LongTensor([utt.speaker_id]) + if utt.speaker_id is not None + else None, + text=utt.text, + ) + + @staticmethod + def load_dataset( + dataset_path: Path, + max_phoneme_ids: Optional[int] = None, + ) -> Iterable[Utterance]: + num_skipped = 0 + + with open(dataset_path, "r", encoding="utf-8") as dataset_file: + for line_idx, line in enumerate(dataset_file): + line = line.strip() + if not line: + continue + + try: + utt = PiperDataset.load_utterance(line) + if (max_phoneme_ids is None) or ( + len(utt.phoneme_ids) <= max_phoneme_ids + ): + yield utt + else: + num_skipped += 1 + except Exception: + _LOGGER.exception( + "Error on line %s of %s: %s", + line_idx + 1, + dataset_path, + line, + ) + + if num_skipped > 0: + _LOGGER.warning("Skipped %s utterance(s)", num_skipped) + + @staticmethod + def load_utterance(line: str) -> Utterance: + utt_dict = json.loads(line) + return Utterance( + phoneme_ids=utt_dict["phoneme_ids"], + audio_norm_path=Path(utt_dict["audio_norm_path"]), + audio_spec_path=Path(utt_dict["audio_spec_path"]), + speaker_id=utt_dict.get("speaker_id"), + text=utt_dict.get("text"), + ) + + +class UtteranceCollate: + def __init__(self, is_multispeaker: bool, segment_size: int): + self.is_multispeaker = is_multispeaker + self.segment_size = segment_size + + def __call__(self, utterances: Sequence[UtteranceTensors]) -> Batch: + num_utterances = len(utterances) + assert num_utterances > 0, "No utterances" + + max_phonemes_length = 0 + max_spec_length = 0 + max_audio_length = 0 + + num_mels = 0 + + # Determine lengths + for utt_idx, utt in enumerate(utterances): + assert utt.spectrogram is not None + assert utt.audio_norm is not None + + phoneme_length = utt.phoneme_ids.size(0) + spec_length = utt.spectrogram.size(1) + audio_length = utt.audio_norm.size(1) + + max_phonemes_length = max(max_phonemes_length, phoneme_length) + max_spec_length = max(max_spec_length, spec_length) + max_audio_length = max(max_audio_length, audio_length) + + num_mels = utt.spectrogram.size(0) + if self.is_multispeaker: + assert utt.speaker_id is not None, "Missing speaker id" + + # Audio cannot be smaller than segment size (8192) + max_audio_length = max(max_audio_length, self.segment_size) + + # Create padded tensors + phonemes_padded = LongTensor(num_utterances, max_phonemes_length) + spec_padded = FloatTensor(num_utterances, num_mels, max_spec_length) + audio_padded = FloatTensor(num_utterances, 1, max_audio_length) + + phonemes_padded.zero_() + spec_padded.zero_() + audio_padded.zero_() + + phoneme_lengths = LongTensor(num_utterances) + spec_lengths = LongTensor(num_utterances) + audio_lengths = LongTensor(num_utterances) + + speaker_ids: Optional[LongTensor] = None + if self.is_multispeaker: + speaker_ids = LongTensor(num_utterances) + + # Sort by decreasing spectrogram length + sorted_utterances = sorted( + utterances, key=lambda u: u.spectrogram.size(1), reverse=True + ) + for utt_idx, utt in enumerate(sorted_utterances): + phoneme_length = utt.phoneme_ids.size(0) + spec_length = utt.spectrogram.size(1) + audio_length = utt.audio_norm.size(1) + + phonemes_padded[utt_idx, :phoneme_length] = utt.phoneme_ids + phoneme_lengths[utt_idx] = phoneme_length + + spec_padded[utt_idx, :, :spec_length] = utt.spectrogram + spec_lengths[utt_idx] = spec_length + + audio_padded[utt_idx, :, :audio_length] = utt.audio_norm + audio_lengths[utt_idx] = audio_length + + if utt.speaker_id is not None: + assert speaker_ids is not None + speaker_ids[utt_idx] = utt.speaker_id + + return Batch( + phoneme_ids=phonemes_padded, + phoneme_lengths=phoneme_lengths, + spectrograms=spec_padded, + spectrogram_lengths=spec_lengths, + audios=audio_padded, + audio_lengths=audio_lengths, + speaker_ids=speaker_ids, + ) diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/lightning.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/lightning.py new file mode 100644 index 0000000..3e4825a --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/lightning.py @@ -0,0 +1,366 @@ +import logging +from pathlib import Path +from typing import List, Optional, Tuple, Union + +import pytorch_lightning as pl +import torch +from torch import autocast +from torch.nn import functional as F +from torch.utils.data import DataLoader, Dataset, random_split + +from .commons import slice_segments +from .dataset import Batch, PiperDataset, UtteranceCollate +from .losses import discriminator_loss, feature_loss, generator_loss, kl_loss +from .mel_processing import mel_spectrogram_torch, spec_to_mel_torch +from .models import MultiPeriodDiscriminator, SynthesizerTrn + +_LOGGER = logging.getLogger("vits.lightning") + + +class VitsModel(pl.LightningModule): + def __init__( + self, + num_symbols: int, + num_speakers: int, + # audio + resblock="2", + resblock_kernel_sizes=(3, 5, 7), + resblock_dilation_sizes=( + (1, 2), + (2, 6), + (3, 12), + ), + upsample_rates=(8, 8, 4), + upsample_initial_channel=256, + upsample_kernel_sizes=(16, 16, 8), + # mel + filter_length: int = 1024, + hop_length: int = 256, + win_length: int = 1024, + mel_channels: int = 80, + sample_rate: int = 22050, + sample_bytes: int = 2, + channels: int = 1, + mel_fmin: float = 0.0, + mel_fmax: Optional[float] = None, + # model + inter_channels: int = 192, + hidden_channels: int = 192, + filter_channels: int = 768, + n_heads: int = 2, + n_layers: int = 6, + kernel_size: int = 3, + p_dropout: float = 0.1, + n_layers_q: int = 3, + use_spectral_norm: bool = False, + gin_channels: int = 0, + use_sdp: bool = True, + segment_size: int = 8192, + # training + dataset: Optional[List[Union[str, Path]]] = None, + learning_rate: float = 2e-4, + betas: Tuple[float, float] = (0.8, 0.99), + eps: float = 1e-9, + batch_size: int = 1, + lr_decay: float = 0.999875, + init_lr_ratio: float = 1.0, + warmup_epochs: int = 0, + c_mel: int = 45, + c_kl: float = 1.0, + grad_clip: Optional[float] = None, + num_workers: int = 1, + seed: int = 1234, + num_test_examples: int = 5, + validation_split: float = 0.1, + max_phoneme_ids: Optional[int] = None, + **kwargs, + ): + super().__init__() + self.automatic_optimization = False + self.save_hyperparameters() + + if (self.hparams.num_speakers > 1) and (self.hparams.gin_channels <= 0): + # Default gin_channels for multi-speaker model + self.hparams.gin_channels = 512 + + # Set up models + self.model_g = SynthesizerTrn( + n_vocab=self.hparams.num_symbols, + spec_channels=self.hparams.filter_length // 2 + 1, + segment_size=self.hparams.segment_size // self.hparams.hop_length, + inter_channels=self.hparams.inter_channels, + hidden_channels=self.hparams.hidden_channels, + filter_channels=self.hparams.filter_channels, + n_heads=self.hparams.n_heads, + n_layers=self.hparams.n_layers, + kernel_size=self.hparams.kernel_size, + p_dropout=self.hparams.p_dropout, + resblock=self.hparams.resblock, + resblock_kernel_sizes=self.hparams.resblock_kernel_sizes, + resblock_dilation_sizes=self.hparams.resblock_dilation_sizes, + upsample_rates=self.hparams.upsample_rates, + upsample_initial_channel=self.hparams.upsample_initial_channel, + upsample_kernel_sizes=self.hparams.upsample_kernel_sizes, + n_speakers=self.hparams.num_speakers, + gin_channels=self.hparams.gin_channels, + use_sdp=self.hparams.use_sdp, + ) + self.model_d = MultiPeriodDiscriminator( + use_spectral_norm=self.hparams.use_spectral_norm + ) + + # Dataset splits + self._train_dataset: Optional[Dataset] = None + self._val_dataset: Optional[Dataset] = None + self._test_dataset: Optional[Dataset] = None + self._load_datasets(validation_split, num_test_examples, max_phoneme_ids) + + # State kept between training optimizers + self._y = None + self._y_hat = None + + def _load_datasets( + self, + validation_split: float, + num_test_examples: int, + max_phoneme_ids: Optional[int] = None, + ): + if self.hparams.dataset is None: + _LOGGER.debug("No dataset to load") + return + + full_dataset = PiperDataset( + self.hparams.dataset, max_phoneme_ids=max_phoneme_ids + ) + valid_set_size = int(len(full_dataset) * validation_split) + train_set_size = len(full_dataset) - valid_set_size - num_test_examples + + self._train_dataset, self._test_dataset, self._val_dataset = random_split( + full_dataset, [train_set_size, num_test_examples, valid_set_size] + ) + + def forward(self, text, text_lengths, scales, sid=None): + noise_scale = scales[0] + length_scale = scales[1] + noise_scale_w = scales[2] + audio, *_ = self.model_g.infer( + text, + text_lengths, + noise_scale=noise_scale, + length_scale=length_scale, + noise_scale_w=noise_scale_w, + sid=sid, + ) + + return audio + + def train_dataloader(self): + return DataLoader( + self._train_dataset, + collate_fn=UtteranceCollate( + is_multispeaker=self.hparams.num_speakers > 1, + segment_size=self.hparams.segment_size, + ), + num_workers=self.hparams.num_workers, + batch_size=self.hparams.batch_size, + ) + + def val_dataloader(self): + return DataLoader( + self._val_dataset, + collate_fn=UtteranceCollate( + is_multispeaker=self.hparams.num_speakers > 1, + segment_size=self.hparams.segment_size, + ), + num_workers=self.hparams.num_workers, + batch_size=self.hparams.batch_size, + ) + + def test_dataloader(self): + return DataLoader( + self._test_dataset, + collate_fn=UtteranceCollate( + is_multispeaker=self.hparams.num_speakers > 1, + segment_size=self.hparams.segment_size, + ), + num_workers=self.hparams.num_workers, + batch_size=self.hparams.batch_size, + ) + + def training_step(self, batch: Batch, batch_idx: int): + opt_g, opt_d = self.optimizers() + + # Generator step + loss_gen_all = self.training_step_g(batch) + opt_g.zero_grad() + self.manual_backward(loss_gen_all) + opt_g.step() + + # Discriminator step + loss_disc_all = self.training_step_d(batch) + opt_d.zero_grad() + self.manual_backward(loss_disc_all) + opt_d.step() + + def on_train_epoch_end(self): + sch_g, sch_d = self.lr_schedulers() + sch_g.step() + sch_d.step() + + def training_step_g(self, batch: Batch): + x, x_lengths, y, _, spec, spec_lengths, speaker_ids = ( + batch.phoneme_ids, + batch.phoneme_lengths, + batch.audios, + batch.audio_lengths, + batch.spectrograms, + batch.spectrogram_lengths, + batch.speaker_ids if batch.speaker_ids is not None else None, + ) + ( + y_hat, + l_length, + _attn, + ids_slice, + _x_mask, + z_mask, + (_z, z_p, m_p, logs_p, _m_q, logs_q), + ) = self.model_g(x, x_lengths, spec, spec_lengths, speaker_ids) + self._y_hat = y_hat + + mel = spec_to_mel_torch( + spec, + self.hparams.filter_length, + self.hparams.mel_channels, + self.hparams.sample_rate, + self.hparams.mel_fmin, + self.hparams.mel_fmax, + ) + y_mel = slice_segments( + mel, + ids_slice, + self.hparams.segment_size // self.hparams.hop_length, + ) + y_hat_mel = mel_spectrogram_torch( + y_hat.squeeze(1), + self.hparams.filter_length, + self.hparams.mel_channels, + self.hparams.sample_rate, + self.hparams.hop_length, + self.hparams.win_length, + self.hparams.mel_fmin, + self.hparams.mel_fmax, + ) + y = slice_segments( + y, + ids_slice * self.hparams.hop_length, + self.hparams.segment_size, + ) # slice + + # Save for training_step_d + self._y = y + + _y_d_hat_r, y_d_hat_g, fmap_r, fmap_g = self.model_d(y, y_hat) + + with autocast(self.device.type, enabled=False): + # Generator loss + loss_dur = torch.sum(l_length.float()) + loss_mel = F.l1_loss(y_mel, y_hat_mel) * self.hparams.c_mel + loss_kl = kl_loss(z_p, logs_q, m_p, logs_p, z_mask) * self.hparams.c_kl + + loss_fm = feature_loss(fmap_r, fmap_g) + loss_gen, _losses_gen = generator_loss(y_d_hat_g) + loss_gen_all = loss_gen + loss_fm + loss_mel + loss_dur + loss_kl + + self.log("loss_gen_all", loss_gen_all) + + return loss_gen_all + + def training_step_d(self, batch: Batch): + # From training_step_g + y = self._y + y_hat = self._y_hat + y_d_hat_r, y_d_hat_g, _, _ = self.model_d(y, y_hat.detach()) + + with autocast(self.device.type, enabled=False): + # Discriminator + loss_disc, _losses_disc_r, _losses_disc_g = discriminator_loss( + y_d_hat_r, y_d_hat_g + ) + loss_disc_all = loss_disc + + self.log("loss_disc_all", loss_disc_all) + + return loss_disc_all + + def validation_step(self, batch: Batch, batch_idx: int): + val_loss = self.training_step_g(batch) + self.training_step_d(batch) + self.log("val_loss", val_loss) + + # Generate audio examples + for utt_idx, test_utt in enumerate(self._test_dataset): + text = test_utt.phoneme_ids.unsqueeze(0).to(self.device) + text_lengths = torch.LongTensor([len(test_utt.phoneme_ids)]).to(self.device) + scales = [0.667, 1.0, 0.8] + sid = ( + test_utt.speaker_id.to(self.device) + if test_utt.speaker_id is not None + else None + ) + test_audio = self(text, text_lengths, scales, sid=sid).detach() + + # Scale to make louder in [-1, 1] + test_audio = test_audio * (1.0 / max(0.01, abs(test_audio.max()))) + + tag = test_utt.text or str(utt_idx) + self.logger.experiment.add_audio( + tag, test_audio, sample_rate=self.hparams.sample_rate + ) + + return val_loss + + def configure_optimizers(self): + optimizers = [ + torch.optim.AdamW( + self.model_g.parameters(), + lr=self.hparams.learning_rate, + betas=self.hparams.betas, + eps=self.hparams.eps, + ), + torch.optim.AdamW( + self.model_d.parameters(), + lr=self.hparams.learning_rate, + betas=self.hparams.betas, + eps=self.hparams.eps, + ), + ] + schedulers = [ + torch.optim.lr_scheduler.ExponentialLR( + optimizers[0], gamma=self.hparams.lr_decay + ), + torch.optim.lr_scheduler.ExponentialLR( + optimizers[1], gamma=self.hparams.lr_decay + ), + ] + + return optimizers, schedulers + + @staticmethod + def add_model_specific_args(parent_parser): + parser = parent_parser.add_argument_group("VitsModel") + parser.add_argument("--batch-size", type=int, required=True) + parser.add_argument("--validation-split", type=float, default=0.1) + parser.add_argument("--num-test-examples", type=int, default=5) + parser.add_argument( + "--max-phoneme-ids", + type=int, + help="Exclude utterances with phoneme id lists longer than this", + ) + # + parser.add_argument("--hidden-channels", type=int, default=192) + parser.add_argument("--inter-channels", type=int, default=192) + parser.add_argument("--filter-channels", type=int, default=768) + parser.add_argument("--n-layers", type=int, default=6) + parser.add_argument("--n-heads", type=int, default=2) + # + return parent_parser diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/losses.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/losses.py new file mode 100644 index 0000000..ec327e5 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/losses.py @@ -0,0 +1,58 @@ +import torch + + +def feature_loss(fmap_r, fmap_g): + loss = 0 + for dr, dg in zip(fmap_r, fmap_g): + for rl, gl in zip(dr, dg): + rl = rl.float().detach() + gl = gl.float() + loss += torch.mean(torch.abs(rl - gl)) + + return loss * 2 + + +def discriminator_loss(disc_real_outputs, disc_generated_outputs): + loss = 0 + r_losses = [] + g_losses = [] + for dr, dg in zip(disc_real_outputs, disc_generated_outputs): + dr = dr.float() + dg = dg.float() + r_loss = torch.mean((1 - dr) ** 2) + g_loss = torch.mean(dg**2) + loss += r_loss + g_loss + r_losses.append(r_loss.item()) + g_losses.append(g_loss.item()) + + return loss, r_losses, g_losses + + +def generator_loss(disc_outputs): + loss = 0 + gen_losses = [] + for dg in disc_outputs: + dg = dg.float() + l_dg = torch.mean((1 - dg) ** 2) + gen_losses.append(l_dg) + loss += l_dg + + return loss, gen_losses + + +def kl_loss(z_p, logs_q, m_p, logs_p, z_mask): + """ + z_p, logs_q: [b, h, t_t] + m_p, logs_p: [b, h, t_t] + """ + z_p = z_p.float() + logs_q = logs_q.float() + m_p = m_p.float() + logs_p = logs_p.float() + z_mask = z_mask.float() + + kl = logs_p - logs_q - 0.5 + kl += 0.5 * ((z_p - m_p) ** 2) * torch.exp(-2.0 * logs_p) + kl = torch.sum(kl * z_mask) + l_kl = kl / torch.sum(z_mask) + return l_kl diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/mel_processing.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/mel_processing.py new file mode 100644 index 0000000..72e81e2 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/mel_processing.py @@ -0,0 +1,139 @@ +import torch +import torch.utils.data +from librosa.filters import mel as librosa_mel_fn + +MAX_WAV_VALUE = 32768.0 + + +def dynamic_range_compression_torch(x, C=1, clip_val=1e-5): + """ + PARAMS + ------ + C: compression factor + """ + return torch.log(torch.clamp(x, min=clip_val) * C) + + +def dynamic_range_decompression_torch(x, C=1): + """ + PARAMS + ------ + C: compression factor used to compress + """ + return torch.exp(x) / C + + +def spectral_normalize_torch(magnitudes): + output = dynamic_range_compression_torch(magnitudes) + return output + + +def spectral_de_normalize_torch(magnitudes): + output = dynamic_range_decompression_torch(magnitudes) + return output + + +mel_basis = {} +hann_window = {} + + +def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global hann_window + dtype_device = str(y.dtype) + "_" + str(y.device) + wnsize_dtype_device = str(win_size) + "_" + dtype_device + if wnsize_dtype_device not in hann_window: + hann_window[wnsize_dtype_device] = torch.hann_window(win_size).type_as(y) + + y = torch.nn.functional.pad( + y.unsqueeze(1), + (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), + mode="reflect", + ) + y = y.squeeze(1) + + spec = torch.view_as_real( + torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[wnsize_dtype_device], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=True, + ) + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + + return spec + + +def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax): + global mel_basis + dtype_device = str(spec.dtype) + "_" + str(spec.device) + fmax_dtype_device = str(fmax) + "_" + dtype_device + if fmax_dtype_device not in mel_basis: + mel = librosa_mel_fn( + sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax + ) + mel_basis[fmax_dtype_device] = torch.from_numpy(mel).type_as(spec) + spec = torch.matmul(mel_basis[fmax_dtype_device], spec) + spec = spectral_normalize_torch(spec) + return spec + + +def mel_spectrogram_torch( + y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False +): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global mel_basis, hann_window + dtype_device = str(y.dtype) + "_" + str(y.device) + fmax_dtype_device = str(fmax) + "_" + dtype_device + wnsize_dtype_device = str(win_size) + "_" + dtype_device + if fmax_dtype_device not in mel_basis: + mel = librosa_mel_fn( + sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax + ) + mel_basis[fmax_dtype_device] = torch.from_numpy(mel).type_as(y) + if wnsize_dtype_device not in hann_window: + hann_window[wnsize_dtype_device] = torch.hann_window(win_size).type_as(y) + + y = torch.nn.functional.pad( + y.unsqueeze(1), + (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), + mode="reflect", + ) + y = y.squeeze(1) + spec = torch.view_as_real( + torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[wnsize_dtype_device], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=True, + ) + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + + spec = torch.matmul(mel_basis[fmax_dtype_device], spec) + spec = spectral_normalize_torch(spec) + + return spec diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/models.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/models.py new file mode 100644 index 0000000..68ef7ba --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/models.py @@ -0,0 +1,732 @@ +import math +import typing + +import torch +from torch import nn +from torch.nn import Conv1d, Conv2d, ConvTranspose1d +from torch.nn import functional as F +from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm + +from . import attentions, commons, modules, monotonic_align +from .commons import get_padding, init_weights + + +class StochasticDurationPredictor(nn.Module): + def __init__( + self, + in_channels: int, + filter_channels: int, + kernel_size: int, + p_dropout: float, + n_flows: int = 4, + gin_channels: int = 0, + ): + super().__init__() + filter_channels = in_channels # it needs to be removed from future version. + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.log_flow = modules.Log() + self.flows = nn.ModuleList() + self.flows.append(modules.ElementwiseAffine(2)) + for i in range(n_flows): + self.flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.flows.append(modules.Flip()) + + self.post_pre = nn.Conv1d(1, filter_channels, 1) + self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.post_convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + self.post_flows = nn.ModuleList() + self.post_flows.append(modules.ElementwiseAffine(2)) + for i in range(4): + self.post_flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.post_flows.append(modules.Flip()) + + self.pre = nn.Conv1d(in_channels, filter_channels, 1) + self.proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, filter_channels, 1) + + def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0): + x = torch.detach(x) + x = self.pre(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.convs(x, x_mask) + x = self.proj(x) * x_mask + + if not reverse: + flows = self.flows + assert w is not None + + logdet_tot_q = 0 + h_w = self.post_pre(w) + h_w = self.post_convs(h_w, x_mask) + h_w = self.post_proj(h_w) * x_mask + e_q = torch.randn(w.size(0), 2, w.size(2)).type_as(x) * x_mask + z_q = e_q + for flow in self.post_flows: + z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w)) + logdet_tot_q += logdet_q + z_u, z1 = torch.split(z_q, [1, 1], 1) + u = torch.sigmoid(z_u) * x_mask + z0 = (w - u) * x_mask + logdet_tot_q += torch.sum( + (F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2] + ) + logq = ( + torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q**2)) * x_mask, [1, 2]) + - logdet_tot_q + ) + + logdet_tot = 0 + z0, logdet = self.log_flow(z0, x_mask) + logdet_tot += logdet + z = torch.cat([z0, z1], 1) + for flow in flows: + z, logdet = flow(z, x_mask, g=x, reverse=reverse) + logdet_tot = logdet_tot + logdet + nll = ( + torch.sum(0.5 * (math.log(2 * math.pi) + (z**2)) * x_mask, [1, 2]) + - logdet_tot + ) + return nll + logq # [b] + else: + flows = list(reversed(self.flows)) + flows = flows[:-2] + [flows[-1]] # remove a useless vflow + z = torch.randn(x.size(0), 2, x.size(2)).type_as(x) * noise_scale + + for flow in flows: + z = flow(z, x_mask, g=x, reverse=reverse) + z0, z1 = torch.split(z, [1, 1], 1) + logw = z0 + return logw + + +class DurationPredictor(nn.Module): + def __init__( + self, + in_channels: int, + filter_channels: int, + kernel_size: int, + p_dropout: float, + gin_channels: int = 0, + ): + super().__init__() + + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.gin_channels = gin_channels + + self.drop = nn.Dropout(p_dropout) + self.conv_1 = nn.Conv1d( + in_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_1 = modules.LayerNorm(filter_channels) + self.conv_2 = nn.Conv1d( + filter_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_2 = modules.LayerNorm(filter_channels) + self.proj = nn.Conv1d(filter_channels, 1, 1) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, in_channels, 1) + + def forward(self, x, x_mask, g=None): + x = torch.detach(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.norm_1(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + x = torch.relu(x) + x = self.norm_2(x) + x = self.drop(x) + x = self.proj(x * x_mask) + return x * x_mask + + +class TextEncoder(nn.Module): + def __init__( + self, + n_vocab: int, + out_channels: int, + hidden_channels: int, + filter_channels: int, + n_heads: int, + n_layers: int, + kernel_size: int, + p_dropout: float, + ): + super().__init__() + self.n_vocab = n_vocab + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + + self.emb = nn.Embedding(n_vocab, hidden_channels) + nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) + + self.encoder = attentions.Encoder( + hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout + ) + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, x, x_lengths): + x = self.emb(x) * math.sqrt(self.hidden_channels) # [b, t, h] + x = torch.transpose(x, 1, -1) # [b, h, t] + x_mask = torch.unsqueeze( + commons.sequence_mask(x_lengths, x.size(2)), 1 + ).type_as(x) + + x = self.encoder(x * x_mask, x_mask) + stats = self.proj(x) * x_mask + + m, logs = torch.split(stats, self.out_channels, dim=1) + return x, m, logs, x_mask + + +class ResidualCouplingBlock(nn.Module): + def __init__( + self, + channels: int, + hidden_channels: int, + kernel_size: int, + dilation_rate: int, + n_layers: int, + n_flows: int = 4, + gin_channels: int = 0, + ): + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.flows = nn.ModuleList() + for i in range(n_flows): + self.flows.append( + modules.ResidualCouplingLayer( + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + mean_only=True, + ) + ) + self.flows.append(modules.Flip()) + + def forward(self, x, x_mask, g=None, reverse=False): + if not reverse: + for flow in self.flows: + x, _ = flow(x, x_mask, g=g, reverse=reverse) + else: + for flow in reversed(self.flows): + x = flow(x, x_mask, g=g, reverse=reverse) + return x + + +class PosteriorEncoder(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + hidden_channels: int, + kernel_size: int, + dilation_rate: int, + n_layers: int, + gin_channels: int = 0, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = modules.WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + ) + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, x, x_lengths, g=None): + x_mask = torch.unsqueeze( + commons.sequence_mask(x_lengths, x.size(2)), 1 + ).type_as(x) + x = self.pre(x) * x_mask + x = self.enc(x, x_mask, g=g) + stats = self.proj(x) * x_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask + return z, m, logs, x_mask + + +class Generator(torch.nn.Module): + def __init__( + self, + initial_channel: int, + resblock: typing.Optional[str], + resblock_kernel_sizes: typing.Tuple[int, ...], + resblock_dilation_sizes: typing.Tuple[typing.Tuple[int, ...], ...], + upsample_rates: typing.Tuple[int, ...], + upsample_initial_channel: int, + upsample_kernel_sizes: typing.Tuple[int, ...], + gin_channels: int = 0, + ): + super(Generator, self).__init__() + self.LRELU_SLOPE = 0.1 + self.num_kernels = len(resblock_kernel_sizes) + self.num_upsamples = len(upsample_rates) + self.conv_pre = Conv1d( + initial_channel, upsample_initial_channel, 7, 1, padding=3 + ) + resblock_module = modules.ResBlock1 if resblock == "1" else modules.ResBlock2 + + self.ups = nn.ModuleList() + for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): + self.ups.append( + weight_norm( + ConvTranspose1d( + upsample_initial_channel // (2**i), + upsample_initial_channel // (2 ** (i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = upsample_initial_channel // (2 ** (i + 1)) + for j, (k, d) in enumerate( + zip(resblock_kernel_sizes, resblock_dilation_sizes) + ): + self.resblocks.append(resblock_module(ch, k, d)) + + self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False) + self.ups.apply(init_weights) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1) + + def forward(self, x, g=None): + x = self.conv_pre(x) + if g is not None: + x = x + self.cond(g) + + for i, up in enumerate(self.ups): + x = F.leaky_relu(x, self.LRELU_SLOPE) + x = up(x) + xs = torch.zeros(1) + for j, resblock in enumerate(self.resblocks): + index = j - (i * self.num_kernels) + if index == 0: + xs = resblock(x) + elif (index > 0) and (index < self.num_kernels): + xs += resblock(x) + x = xs / self.num_kernels + x = F.leaky_relu(x) + x = self.conv_post(x) + x = torch.tanh(x) + + return x + + def remove_weight_norm(self): + print("Removing weight norm...") + for l in self.ups: + remove_weight_norm(l) + for l in self.resblocks: + l.remove_weight_norm() + + +class DiscriminatorP(torch.nn.Module): + def __init__( + self, + period: int, + kernel_size: int = 5, + stride: int = 3, + use_spectral_norm: bool = False, + ): + super(DiscriminatorP, self).__init__() + self.LRELU_SLOPE = 0.1 + self.period = period + self.use_spectral_norm = use_spectral_norm + norm_f = weight_norm if not use_spectral_norm else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f( + Conv2d( + 1, + 32, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 32, + 128, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 128, + 512, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 512, + 1024, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 1024, + 1024, + (kernel_size, 1), + 1, + padding=(get_padding(kernel_size, 1), 0), + ) + ), + ] + ) + self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0))) + + def forward(self, x): + fmap = [] + + # 1d to 2d + b, c, t = x.shape + if t % self.period != 0: # pad first + n_pad = self.period - (t % self.period) + x = F.pad(x, (0, n_pad), "reflect") + t = t + n_pad + x = x.view(b, c, t // self.period, self.period) + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, self.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class DiscriminatorS(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(DiscriminatorS, self).__init__() + self.LRELU_SLOPE = 0.1 + norm_f = spectral_norm if use_spectral_norm else weight_norm + self.convs = nn.ModuleList( + [ + norm_f(Conv1d(1, 16, 15, 1, padding=7)), + norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)), + norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)), + norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)), + norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)), + norm_f(Conv1d(1024, 1024, 5, 1, padding=2)), + ] + ) + self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1)) + + def forward(self, x): + fmap = [] + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, self.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class MultiPeriodDiscriminator(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(MultiPeriodDiscriminator, self).__init__() + periods = [2, 3, 5, 7, 11] + + discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)] + discs = discs + [ + DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods + ] + self.discriminators = nn.ModuleList(discs) + + def forward(self, y, y_hat): + y_d_rs = [] + y_d_gs = [] + fmap_rs = [] + fmap_gs = [] + for i, d in enumerate(self.discriminators): + y_d_r, fmap_r = d(y) + y_d_g, fmap_g = d(y_hat) + y_d_rs.append(y_d_r) + y_d_gs.append(y_d_g) + fmap_rs.append(fmap_r) + fmap_gs.append(fmap_g) + + return y_d_rs, y_d_gs, fmap_rs, fmap_gs + + +class SynthesizerTrn(nn.Module): + """ + Synthesizer for Training + """ + + def __init__( + self, + n_vocab: int, + spec_channels: int, + segment_size: int, + inter_channels: int, + hidden_channels: int, + filter_channels: int, + n_heads: int, + n_layers: int, + kernel_size: int, + p_dropout: float, + resblock: str, + resblock_kernel_sizes: typing.Tuple[int, ...], + resblock_dilation_sizes: typing.Tuple[typing.Tuple[int, ...], ...], + upsample_rates: typing.Tuple[int, ...], + upsample_initial_channel: int, + upsample_kernel_sizes: typing.Tuple[int, ...], + n_speakers: int = 1, + gin_channels: int = 0, + use_sdp: bool = True, + ): + + super().__init__() + self.n_vocab = n_vocab + self.spec_channels = spec_channels + self.inter_channels = inter_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.resblock = resblock + self.resblock_kernel_sizes = resblock_kernel_sizes + self.resblock_dilation_sizes = resblock_dilation_sizes + self.upsample_rates = upsample_rates + self.upsample_initial_channel = upsample_initial_channel + self.upsample_kernel_sizes = upsample_kernel_sizes + self.segment_size = segment_size + self.n_speakers = n_speakers + self.gin_channels = gin_channels + + self.use_sdp = use_sdp + + self.enc_p = TextEncoder( + n_vocab, + inter_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + ) + self.dec = Generator( + inter_channels, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + gin_channels=gin_channels, + ) + self.enc_q = PosteriorEncoder( + spec_channels, + inter_channels, + hidden_channels, + 5, + 1, + 16, + gin_channels=gin_channels, + ) + self.flow = ResidualCouplingBlock( + inter_channels, hidden_channels, 5, 1, 4, gin_channels=gin_channels + ) + + if use_sdp: + self.dp = StochasticDurationPredictor( + hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels + ) + else: + self.dp = DurationPredictor( + hidden_channels, 256, 3, 0.5, gin_channels=gin_channels + ) + + if n_speakers > 1: + self.emb_g = nn.Embedding(n_speakers, gin_channels) + + def forward(self, x, x_lengths, y, y_lengths, sid=None): + + x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths) + if self.n_speakers > 1: + g = self.emb_g(sid).unsqueeze(-1) # [b, h, 1] + else: + g = None + + z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g) + z_p = self.flow(z, y_mask, g=g) + + with torch.no_grad(): + # negative cross-entropy + s_p_sq_r = torch.exp(-2 * logs_p) # [b, d, t] + neg_cent1 = torch.sum( + -0.5 * math.log(2 * math.pi) - logs_p, [1], keepdim=True + ) # [b, 1, t_s] + neg_cent2 = torch.matmul( + -0.5 * (z_p**2).transpose(1, 2), s_p_sq_r + ) # [b, t_t, d] x [b, d, t_s] = [b, t_t, t_s] + neg_cent3 = torch.matmul( + z_p.transpose(1, 2), (m_p * s_p_sq_r) + ) # [b, t_t, d] x [b, d, t_s] = [b, t_t, t_s] + neg_cent4 = torch.sum( + -0.5 * (m_p**2) * s_p_sq_r, [1], keepdim=True + ) # [b, 1, t_s] + neg_cent = neg_cent1 + neg_cent2 + neg_cent3 + neg_cent4 + + attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1) + attn = ( + monotonic_align.maximum_path(neg_cent, attn_mask.squeeze(1)) + .unsqueeze(1) + .detach() + ) + + w = attn.sum(2) + if self.use_sdp: + l_length = self.dp(x, x_mask, w, g=g) + l_length = l_length / torch.sum(x_mask) + else: + logw_ = torch.log(w + 1e-6) * x_mask + logw = self.dp(x, x_mask, g=g) + l_length = torch.sum((logw - logw_) ** 2, [1, 2]) / torch.sum( + x_mask + ) # for averaging + + # expand prior + m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose(1, 2) + logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose(1, 2) + + z_slice, ids_slice = commons.rand_slice_segments( + z, y_lengths, self.segment_size + ) + o = self.dec(z_slice, g=g) + return ( + o, + l_length, + attn, + ids_slice, + x_mask, + y_mask, + (z, z_p, m_p, logs_p, m_q, logs_q), + ) + + def infer( + self, + x, + x_lengths, + sid=None, + noise_scale=0.667, + length_scale=1, + noise_scale_w=0.8, + max_len=None, + ): + x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths) + if self.n_speakers > 1: + assert sid is not None, "Missing speaker id" + g = self.emb_g(sid).unsqueeze(-1) # [b, h, 1] + else: + g = None + + if self.use_sdp: + logw = self.dp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) + else: + logw = self.dp(x, x_mask, g=g) + w = torch.exp(logw) * x_mask * length_scale + w_ceil = torch.ceil(w) + y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long() + y_mask = torch.unsqueeze( + commons.sequence_mask(y_lengths, y_lengths.max()), 1 + ).type_as(x_mask) + attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1) + attn = commons.generate_path(w_ceil, attn_mask) + + m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose( + 1, 2 + ) # [b, t', t], [b, t, d] -> [b, d, t'] + logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose( + 1, 2 + ) # [b, t', t], [b, t, d] -> [b, d, t'] + + z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale + z = self.flow(z_p, y_mask, g=g, reverse=True) + o = self.dec((z * y_mask)[:, :, :max_len], g=g) + + return o, attn, y_mask, (z, z_p, m_p, logs_p) + + def voice_conversion(self, y, y_lengths, sid_src, sid_tgt): + assert self.n_speakers > 1, "n_speakers have to be larger than 1." + g_src = self.emb_g(sid_src).unsqueeze(-1) + g_tgt = self.emb_g(sid_tgt).unsqueeze(-1) + z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g_src) + z_p = self.flow(z, y_mask, g=g_src) + z_hat = self.flow(z_p, y_mask, g=g_tgt, reverse=True) + o_hat = self.dec(z_hat * y_mask, g=g_tgt) + return o_hat, y_mask, (z, z_p, z_hat) diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/modules.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/modules.py new file mode 100644 index 0000000..656e497 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/modules.py @@ -0,0 +1,527 @@ +import math +import typing + +import torch +from torch import nn +from torch.nn import Conv1d +from torch.nn import functional as F +from torch.nn.utils import remove_weight_norm, weight_norm + +from .commons import fused_add_tanh_sigmoid_multiply, get_padding, init_weights +from .transforms import piecewise_rational_quadratic_transform + + +class LayerNorm(nn.Module): + def __init__(self, channels: int, eps: float = 1e-5): + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = nn.Parameter(torch.ones(channels)) + self.beta = nn.Parameter(torch.zeros(channels)) + + def forward(self, x): + x = x.transpose(1, -1) + x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps) + return x.transpose(1, -1) + + +class ConvReluNorm(nn.Module): + def __init__( + self, + in_channels: int, + hidden_channels: int, + out_channels: int, + kernel_size: int, + n_layers: int, + p_dropout: float, + ): + super().__init__() + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.out_channels = out_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.p_dropout = p_dropout + assert n_layers > 1, "Number of layers should be larger than 0." + + self.conv_layers = nn.ModuleList() + self.norm_layers = nn.ModuleList() + self.conv_layers.append( + nn.Conv1d( + in_channels, hidden_channels, kernel_size, padding=kernel_size // 2 + ) + ) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.relu_drop = nn.Sequential(nn.ReLU(), nn.Dropout(p_dropout)) + for _ in range(n_layers - 1): + self.conv_layers.append( + nn.Conv1d( + hidden_channels, + hidden_channels, + kernel_size, + padding=kernel_size // 2, + ) + ) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask): + x_org = x + for i in range(self.n_layers): + x = self.conv_layers[i](x * x_mask) + x = self.norm_layers[i](x) + x = self.relu_drop(x) + x = x_org + self.proj(x) + return x * x_mask + + +class DDSConv(nn.Module): + """ + Dialted and Depth-Separable Convolution + """ + + def __init__( + self, channels: int, kernel_size: int, n_layers: int, p_dropout: float = 0.0 + ): + super().__init__() + self.channels = channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.p_dropout = p_dropout + + self.drop = nn.Dropout(p_dropout) + self.convs_sep = nn.ModuleList() + self.convs_1x1 = nn.ModuleList() + self.norms_1 = nn.ModuleList() + self.norms_2 = nn.ModuleList() + for i in range(n_layers): + dilation = kernel_size**i + padding = (kernel_size * dilation - dilation) // 2 + self.convs_sep.append( + nn.Conv1d( + channels, + channels, + kernel_size, + groups=channels, + dilation=dilation, + padding=padding, + ) + ) + self.convs_1x1.append(nn.Conv1d(channels, channels, 1)) + self.norms_1.append(LayerNorm(channels)) + self.norms_2.append(LayerNorm(channels)) + + def forward(self, x, x_mask, g=None): + if g is not None: + x = x + g + for i in range(self.n_layers): + y = self.convs_sep[i](x * x_mask) + y = self.norms_1[i](y) + y = F.gelu(y) + y = self.convs_1x1[i](y) + y = self.norms_2[i](y) + y = F.gelu(y) + y = self.drop(y) + x = x + y + return x * x_mask + + +class WN(torch.nn.Module): + def __init__( + self, + hidden_channels: int, + kernel_size: int, + dilation_rate: int, + n_layers: int, + gin_channels: int = 0, + p_dropout: float = 0, + ): + super().__init__() + assert kernel_size % 2 == 1 + self.hidden_channels = hidden_channels + self.kernel_size = (kernel_size,) + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + self.p_dropout = p_dropout + + self.in_layers = torch.nn.ModuleList() + self.res_skip_layers = torch.nn.ModuleList() + self.drop = nn.Dropout(p_dropout) + + if gin_channels != 0: + cond_layer = torch.nn.Conv1d( + gin_channels, 2 * hidden_channels * n_layers, 1 + ) + self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name="weight") + + for i in range(n_layers): + dilation = dilation_rate**i + padding = int((kernel_size * dilation - dilation) / 2) + in_layer = torch.nn.Conv1d( + hidden_channels, + 2 * hidden_channels, + kernel_size, + dilation=dilation, + padding=padding, + ) + in_layer = torch.nn.utils.weight_norm(in_layer, name="weight") + self.in_layers.append(in_layer) + + # last one is not necessary + if i < n_layers - 1: + res_skip_channels = 2 * hidden_channels + else: + res_skip_channels = hidden_channels + + res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1) + res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name="weight") + self.res_skip_layers.append(res_skip_layer) + + def forward(self, x, x_mask, g=None, **kwargs): + output = torch.zeros_like(x) + n_channels_tensor = torch.IntTensor([self.hidden_channels]) + + if g is not None: + g = self.cond_layer(g) + + for i in range(self.n_layers): + x_in = self.in_layers[i](x) + if g is not None: + cond_offset = i * 2 * self.hidden_channels + g_l = g[:, cond_offset : cond_offset + 2 * self.hidden_channels, :] + else: + g_l = torch.zeros_like(x_in) + + acts = fused_add_tanh_sigmoid_multiply(x_in, g_l, n_channels_tensor) + acts = self.drop(acts) + + res_skip_acts = self.res_skip_layers[i](acts) + if i < self.n_layers - 1: + res_acts = res_skip_acts[:, : self.hidden_channels, :] + x = (x + res_acts) * x_mask + output = output + res_skip_acts[:, self.hidden_channels :, :] + else: + output = output + res_skip_acts + return output * x_mask + + def remove_weight_norm(self): + if self.gin_channels != 0: + torch.nn.utils.remove_weight_norm(self.cond_layer) + for l in self.in_layers: + torch.nn.utils.remove_weight_norm(l) + for l in self.res_skip_layers: + torch.nn.utils.remove_weight_norm(l) + + +class ResBlock1(torch.nn.Module): + def __init__( + self, + channels: int, + kernel_size: int = 3, + dilation: typing.Tuple[int] = (1, 3, 5), + ): + super(ResBlock1, self).__init__() + self.LRELU_SLOPE = 0.1 + self.convs1 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[2], + padding=get_padding(kernel_size, dilation[2]), + ) + ), + ] + ) + self.convs1.apply(init_weights) + + self.convs2 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + ] + ) + self.convs2.apply(init_weights) + + def forward(self, x, x_mask=None): + for c1, c2 in zip(self.convs1, self.convs2): + xt = F.leaky_relu(x, self.LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c1(xt) + xt = F.leaky_relu(xt, self.LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c2(xt) + x = xt + x + if x_mask is not None: + x = x * x_mask + return x + + def remove_weight_norm(self): + for l in self.convs1: + remove_weight_norm(l) + for l in self.convs2: + remove_weight_norm(l) + + +class ResBlock2(torch.nn.Module): + def __init__( + self, channels: int, kernel_size: int = 3, dilation: typing.Tuple[int] = (1, 3) + ): + super(ResBlock2, self).__init__() + self.LRELU_SLOPE = 0.1 + self.convs = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + ] + ) + self.convs.apply(init_weights) + + def forward(self, x, x_mask=None): + for c in self.convs: + xt = F.leaky_relu(x, self.LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c(xt) + x = xt + x + if x_mask is not None: + x = x * x_mask + return x + + def remove_weight_norm(self): + for l in self.convs: + remove_weight_norm(l) + + +class Log(nn.Module): + def forward( + self, x: torch.Tensor, x_mask: torch.Tensor, reverse: bool = False, **kwargs + ): + if not reverse: + y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask + logdet = torch.sum(-y, [1, 2]) + return y, logdet + else: + x = torch.exp(x) * x_mask + return x + + +class Flip(nn.Module): + def forward(self, x: torch.Tensor, *args, reverse: bool = False, **kwargs): + x = torch.flip(x, [1]) + if not reverse: + logdet = torch.zeros(x.size(0)).type_as(x) + return x, logdet + else: + return x + + +class ElementwiseAffine(nn.Module): + def __init__(self, channels: int): + super().__init__() + self.channels = channels + self.m = nn.Parameter(torch.zeros(channels, 1)) + self.logs = nn.Parameter(torch.zeros(channels, 1)) + + def forward(self, x, x_mask, reverse=False, **kwargs): + if not reverse: + y = self.m + torch.exp(self.logs) * x + y = y * x_mask + logdet = torch.sum(self.logs * x_mask, [1, 2]) + return y, logdet + else: + x = (x - self.m) * torch.exp(-self.logs) * x_mask + return x + + +class ResidualCouplingLayer(nn.Module): + def __init__( + self, + channels: int, + hidden_channels: int, + kernel_size: int, + dilation_rate: int, + n_layers: int, + p_dropout: float = 0, + gin_channels: int = 0, + mean_only: bool = False, + ): + assert channels % 2 == 0, "channels should be divisible by 2" + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.half_channels = channels // 2 + self.mean_only = mean_only + + self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1) + self.enc = WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + p_dropout=p_dropout, + gin_channels=gin_channels, + ) + self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1) + self.post.weight.data.zero_() + self.post.bias.data.zero_() + + def forward(self, x, x_mask, g=None, reverse=False): + x0, x1 = torch.split(x, [self.half_channels] * 2, 1) + h = self.pre(x0) * x_mask + h = self.enc(h, x_mask, g=g) + stats = self.post(h) * x_mask + if not self.mean_only: + m, logs = torch.split(stats, [self.half_channels] * 2, 1) + else: + m = stats + logs = torch.zeros_like(m) + + if not reverse: + x1 = m + x1 * torch.exp(logs) * x_mask + x = torch.cat([x0, x1], 1) + logdet = torch.sum(logs, [1, 2]) + return x, logdet + else: + x1 = (x1 - m) * torch.exp(-logs) * x_mask + x = torch.cat([x0, x1], 1) + return x + + +class ConvFlow(nn.Module): + def __init__( + self, + in_channels: int, + filter_channels: int, + kernel_size: int, + n_layers: int, + num_bins: int = 10, + tail_bound: float = 5.0, + ): + super().__init__() + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.num_bins = num_bins + self.tail_bound = tail_bound + self.half_channels = in_channels // 2 + + self.pre = nn.Conv1d(self.half_channels, filter_channels, 1) + self.convs = DDSConv(filter_channels, kernel_size, n_layers, p_dropout=0.0) + self.proj = nn.Conv1d( + filter_channels, self.half_channels * (num_bins * 3 - 1), 1 + ) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask, g=None, reverse=False): + x0, x1 = torch.split(x, [self.half_channels] * 2, 1) + h = self.pre(x0) + h = self.convs(h, x_mask, g=g) + h = self.proj(h) * x_mask + + b, c, t = x0.shape + h = h.reshape(b, c, -1, t).permute(0, 1, 3, 2) # [b, cx?, t] -> [b, c, t, ?] + + unnormalized_widths = h[..., : self.num_bins] / math.sqrt(self.filter_channels) + unnormalized_heights = h[..., self.num_bins : 2 * self.num_bins] / math.sqrt( + self.filter_channels + ) + unnormalized_derivatives = h[..., 2 * self.num_bins :] + + x1, logabsdet = piecewise_rational_quadratic_transform( + x1, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=reverse, + tails="linear", + tail_bound=self.tail_bound, + ) + + x = torch.cat([x0, x1], 1) * x_mask + + logdet = torch.sum(logabsdet * x_mask, [1, 2]) + if not reverse: + return x, logdet + else: + return x diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/Makefile b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/Makefile new file mode 100644 index 0000000..017c6e7 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/Makefile @@ -0,0 +1,2 @@ +all: + python3 setup.py build_ext --inplace diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/__init__.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/__init__.py new file mode 100644 index 0000000..5dd2a43 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/__init__.py @@ -0,0 +1,20 @@ +import numpy as np +import torch + +from .monotonic_align.core import maximum_path_c + + +def maximum_path(neg_cent, mask): + """Cython optimized version. + neg_cent: [b, t_t, t_s] + mask: [b, t_t, t_s] + """ + device = neg_cent.device + dtype = neg_cent.dtype + neg_cent = neg_cent.data.cpu().numpy().astype(np.float32) + path = np.zeros(neg_cent.shape, dtype=np.int32) + + t_t_max = mask.sum(1)[:, 0].data.cpu().numpy().astype(np.int32) + t_s_max = mask.sum(2)[:, 0].data.cpu().numpy().astype(np.int32) + maximum_path_c(path, neg_cent, t_t_max, t_s_max) + return torch.from_numpy(path).to(device=device, dtype=dtype) diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.c b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.c new file mode 100644 index 0000000..7a9e627 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.c @@ -0,0 +1,26925 @@ +/* Generated by Cython 3.2.5 */ + +/* BEGIN: Cython Metadata +{ + "distutils": { + "name": "core", + "sources": [ + "core.pyx" + ] + }, + "module_name": "core" +} +END: Cython Metadata */ + +#ifndef PY_SSIZE_T_CLEAN +#define PY_SSIZE_T_CLEAN +#endif /* PY_SSIZE_T_CLEAN */ +/* InitLimitedAPI */ +#if defined(Py_LIMITED_API) + #if !defined(CYTHON_LIMITED_API) + #define CYTHON_LIMITED_API 1 + #endif +#elif defined(CYTHON_LIMITED_API) + #ifdef _MSC_VER + #pragma message ("Limited API usage is enabled with 'CYTHON_LIMITED_API' but 'Py_LIMITED_API' does not define a Python target version. Consider setting 'Py_LIMITED_API' instead.") + #else + #warning Limited API usage is enabled with 'CYTHON_LIMITED_API' but 'Py_LIMITED_API' does not define a Python target version. Consider setting 'Py_LIMITED_API' instead. + #endif +#endif + +#include "Python.h" +#ifndef Py_PYTHON_H + #error Python headers needed to compile C extensions, please install development version of Python. +#elif PY_VERSION_HEX < 0x03080000 + #error Cython requires Python 3.8+. +#else +#define __PYX_ABI_VERSION "3_2_5" +#define CYTHON_HEX_VERSION 0x030205F0 +#define CYTHON_FUTURE_DIVISION 1 +/* CModulePreamble */ +#include +#ifndef offsetof + #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) +#endif +#if !defined(_WIN32) && !defined(WIN32) && !defined(MS_WINDOWS) + #ifndef __stdcall + #define __stdcall + #endif + #ifndef __cdecl + #define __cdecl + #endif + #ifndef __fastcall + #define __fastcall + #endif +#endif +#ifndef DL_IMPORT + #define DL_IMPORT(t) t +#endif +#ifndef DL_EXPORT + #define DL_EXPORT(t) t +#endif +#define __PYX_COMMA , +#ifndef PY_LONG_LONG + #define PY_LONG_LONG LONG_LONG +#endif +#ifndef Py_HUGE_VAL + #define Py_HUGE_VAL HUGE_VAL +#endif +#define __PYX_LIMITED_VERSION_HEX PY_VERSION_HEX +#if defined(GRAALVM_PYTHON) + /* For very preliminary testing purposes. Most variables are set the same as PyPy. + The existence of this section does not imply that anything works or is even tested */ + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #define CYTHON_COMPILING_IN_LIMITED_API 0 + #define CYTHON_COMPILING_IN_GRAAL 1 + #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 0 + #undef CYTHON_USE_TYPE_SPECS + #define CYTHON_USE_TYPE_SPECS 0 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_ASSUME_SAFE_SIZE + #define CYTHON_ASSUME_SAFE_SIZE 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_GIL + #define CYTHON_FAST_GIL 0 + #undef CYTHON_METH_FASTCALL + #define CYTHON_METH_FASTCALL 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #ifndef CYTHON_PEP487_INIT_SUBCLASS + #define CYTHON_PEP487_INIT_SUBCLASS 1 + #endif + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 1 + #undef CYTHON_USE_MODULE_STATE + #define CYTHON_USE_MODULE_STATE 0 + #undef CYTHON_USE_SYS_MONITORING + #define CYTHON_USE_SYS_MONITORING 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_AM_SEND + #define CYTHON_USE_AM_SEND 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 1 + #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC + #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 + #endif + #undef CYTHON_USE_FREELISTS + #define CYTHON_USE_FREELISTS 0 + #undef CYTHON_IMMORTAL_CONSTANTS + #define CYTHON_IMMORTAL_CONSTANTS 0 +#elif defined(PYPY_VERSION) + #define CYTHON_COMPILING_IN_PYPY 1 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #define CYTHON_COMPILING_IN_LIMITED_API 0 + #define CYTHON_COMPILING_IN_GRAAL 0 + #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #ifndef CYTHON_USE_TYPE_SPECS + #define CYTHON_USE_TYPE_SPECS 0 + #endif + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 1 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #ifndef CYTHON_ASSUME_SAFE_SIZE + #define CYTHON_ASSUME_SAFE_SIZE 1 + #endif + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_GIL + #define CYTHON_FAST_GIL 0 + #undef CYTHON_METH_FASTCALL + #define CYTHON_METH_FASTCALL 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #ifndef CYTHON_PEP487_INIT_SUBCLASS + #define CYTHON_PEP487_INIT_SUBCLASS 1 + #endif + #if PY_VERSION_HEX < 0x03090000 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) + #define CYTHON_PEP489_MULTI_PHASE_INIT 1 + #endif + #undef CYTHON_USE_MODULE_STATE + #define CYTHON_USE_MODULE_STATE 0 + #undef CYTHON_USE_SYS_MONITORING + #define CYTHON_USE_SYS_MONITORING 0 + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE (PYPY_VERSION_NUM >= 0x07030C00) + #endif + #undef CYTHON_USE_AM_SEND + #define CYTHON_USE_AM_SEND 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 + #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC + #define CYTHON_UPDATE_DESCRIPTOR_DOC (PYPY_VERSION_NUM >= 0x07031100) + #endif + #undef CYTHON_USE_FREELISTS + #define CYTHON_USE_FREELISTS 0 + #undef CYTHON_IMMORTAL_CONSTANTS + #define CYTHON_IMMORTAL_CONSTANTS 0 +#elif defined(CYTHON_LIMITED_API) + #ifdef Py_LIMITED_API + #undef __PYX_LIMITED_VERSION_HEX + #define __PYX_LIMITED_VERSION_HEX Py_LIMITED_API + #endif + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #define CYTHON_COMPILING_IN_LIMITED_API 1 + #define CYTHON_COMPILING_IN_GRAAL 0 + #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 0 + #undef CYTHON_USE_TYPE_SPECS + #define CYTHON_USE_TYPE_SPECS 1 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #ifndef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #endif + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 + #endif + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_ASSUME_SAFE_SIZE + #define CYTHON_ASSUME_SAFE_SIZE 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_GIL + #define CYTHON_FAST_GIL 0 + #undef CYTHON_METH_FASTCALL + #define CYTHON_METH_FASTCALL (__PYX_LIMITED_VERSION_HEX >= 0x030C0000) + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #ifndef CYTHON_PEP487_INIT_SUBCLASS + #define CYTHON_PEP487_INIT_SUBCLASS 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 1 + #endif + #ifndef CYTHON_USE_MODULE_STATE + #define CYTHON_USE_MODULE_STATE 0 + #endif + #undef CYTHON_USE_SYS_MONITORING + #define CYTHON_USE_SYS_MONITORING 0 + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #endif + #ifndef CYTHON_USE_AM_SEND + #define CYTHON_USE_AM_SEND (__PYX_LIMITED_VERSION_HEX >= 0x030A0000) + #endif + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 + #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC + #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 + #endif + #ifndef CYTHON_USE_FREELISTS + #define CYTHON_USE_FREELISTS 1 + #endif + #undef CYTHON_IMMORTAL_CONSTANTS + #define CYTHON_IMMORTAL_CONSTANTS 0 +#else + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_CPYTHON 1 + #define CYTHON_COMPILING_IN_LIMITED_API 0 + #define CYTHON_COMPILING_IN_GRAAL 0 + #ifdef Py_GIL_DISABLED + #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 1 + #else + #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 + #endif + #if PY_VERSION_HEX < 0x030A0000 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #elif !defined(CYTHON_USE_TYPE_SLOTS) + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #ifndef CYTHON_USE_TYPE_SPECS + #define CYTHON_USE_TYPE_SPECS 0 + #endif + #ifndef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 1 + #endif + #ifndef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 1 + #endif + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #elif !defined(CYTHON_USE_PYLIST_INTERNALS) + #define CYTHON_USE_PYLIST_INTERNALS 1 + #endif + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING || PY_VERSION_HEX >= 0x030B00A2 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #elif !defined(CYTHON_USE_UNICODE_WRITER) + #define CYTHON_USE_UNICODE_WRITER 1 + #endif + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 1 + #elif !defined(CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS) + #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_ASSUME_SAFE_SIZE + #define CYTHON_ASSUME_SAFE_SIZE 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #ifndef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 1 + #endif + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + #undef CYTHON_FAST_GIL + #define CYTHON_FAST_GIL 0 + #elif !defined(CYTHON_FAST_GIL) + #define CYTHON_FAST_GIL (PY_VERSION_HEX < 0x030C00A6) + #endif + #ifndef CYTHON_METH_FASTCALL + #define CYTHON_METH_FASTCALL 1 + #endif + #ifndef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 1 + #endif + #ifndef CYTHON_PEP487_INIT_SUBCLASS + #define CYTHON_PEP487_INIT_SUBCLASS 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 1 + #endif + #ifndef CYTHON_USE_MODULE_STATE + #define CYTHON_USE_MODULE_STATE 0 + #endif + #ifndef CYTHON_USE_SYS_MONITORING + #define CYTHON_USE_SYS_MONITORING (PY_VERSION_HEX >= 0x030d00B1) + #endif + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 1 + #endif + #ifndef CYTHON_USE_AM_SEND + #define CYTHON_USE_AM_SEND 1 + #endif + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #elif !defined(CYTHON_USE_DICT_VERSIONS) + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX < 0x030C00A5 && !CYTHON_USE_MODULE_STATE) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 1 + #endif + #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC + #define CYTHON_UPDATE_DESCRIPTOR_DOC 1 + #endif + #ifndef CYTHON_USE_FREELISTS + #define CYTHON_USE_FREELISTS (!CYTHON_COMPILING_IN_CPYTHON_FREETHREADING) + #endif + #if defined(CYTHON_IMMORTAL_CONSTANTS) && PY_VERSION_HEX < 0x030C0000 + #undef CYTHON_IMMORTAL_CONSTANTS + #define CYTHON_IMMORTAL_CONSTANTS 0 // definitely won't work + #elif !defined(CYTHON_IMMORTAL_CONSTANTS) + #define CYTHON_IMMORTAL_CONSTANTS (PY_VERSION_HEX >= 0x030C0000 && !CYTHON_USE_MODULE_STATE && CYTHON_COMPILING_IN_CPYTHON_FREETHREADING) + #endif +#endif +#ifndef CYTHON_COMPRESS_STRINGS + #define CYTHON_COMPRESS_STRINGS 1 +#endif +#ifndef CYTHON_FAST_PYCCALL +#define CYTHON_FAST_PYCCALL CYTHON_FAST_PYCALL +#endif +#ifndef CYTHON_VECTORCALL +#if CYTHON_COMPILING_IN_LIMITED_API +#define CYTHON_VECTORCALL (__PYX_LIMITED_VERSION_HEX >= 0x030C0000) +#else +#define CYTHON_VECTORCALL (CYTHON_FAST_PYCCALL) +#endif +#endif +#if CYTHON_USE_PYLONG_INTERNALS + #undef SHIFT + #undef BASE + #undef MASK + #ifdef SIZEOF_VOID_P + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + #endif +#endif +#ifndef __has_attribute + #define __has_attribute(x) 0 +#endif +#ifndef __has_cpp_attribute + #define __has_cpp_attribute(x) 0 +#endif +#ifndef CYTHON_RESTRICT + #if defined(__GNUC__) + #define CYTHON_RESTRICT __restrict__ + #elif defined(_MSC_VER) && _MSC_VER >= 1400 + #define CYTHON_RESTRICT __restrict + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_RESTRICT restrict + #else + #define CYTHON_RESTRICT + #endif +#endif +#ifndef CYTHON_UNUSED + #if defined(__cplusplus) + /* for clang __has_cpp_attribute(maybe_unused) is true even before C++17 + * but leads to warnings with -pedantic, since it is a C++17 feature */ + #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) + #if __has_cpp_attribute(maybe_unused) + #define CYTHON_UNUSED [[maybe_unused]] + #endif + #endif + #endif +#endif +#ifndef CYTHON_UNUSED +# if defined(__GNUC__) +# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_UNUSED_VAR +# if defined(__cplusplus) + template void CYTHON_UNUSED_VAR( const T& ) { } +# else +# define CYTHON_UNUSED_VAR(x) (void)(x) +# endif +#endif +#ifndef CYTHON_MAYBE_UNUSED_VAR + #define CYTHON_MAYBE_UNUSED_VAR(x) CYTHON_UNUSED_VAR(x) +#endif +#ifndef CYTHON_NCP_UNUSED +# if CYTHON_COMPILING_IN_CPYTHON && !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +# define CYTHON_NCP_UNUSED +# else +# define CYTHON_NCP_UNUSED CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_USE_CPP_STD_MOVE + #if defined(__cplusplus) && (\ + __cplusplus >= 201103L || (defined(_MSC_VER) && _MSC_VER >= 1600)) + #define CYTHON_USE_CPP_STD_MOVE 1 + #else + #define CYTHON_USE_CPP_STD_MOVE 0 + #endif +#endif +#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) +#include +typedef uintptr_t __pyx_uintptr_t; +#ifndef CYTHON_FALLTHROUGH + #if defined(__cplusplus) + /* for clang __has_cpp_attribute(fallthrough) is true even before C++17 + * but leads to warnings with -pedantic, since it is a C++17 feature */ + #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) + #if __has_cpp_attribute(fallthrough) + #define CYTHON_FALLTHROUGH [[fallthrough]] + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_cpp_attribute(clang::fallthrough) + #define CYTHON_FALLTHROUGH [[clang::fallthrough]] + #elif __has_cpp_attribute(gnu::fallthrough) + #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] + #endif + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_attribute(fallthrough) + #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) + #else + #define CYTHON_FALLTHROUGH + #endif + #endif + #if defined(__clang__) && defined(__apple_build_version__) + #if __apple_build_version__ < 7000000 + #undef CYTHON_FALLTHROUGH + #define CYTHON_FALLTHROUGH + #endif + #endif +#endif +#ifndef Py_UNREACHABLE + #define Py_UNREACHABLE() assert(0); abort() +#endif +#ifdef __cplusplus + template + struct __PYX_IS_UNSIGNED_IMPL {static const bool value = T(0) < T(-1);}; + #define __PYX_IS_UNSIGNED(type) (__PYX_IS_UNSIGNED_IMPL::value) +#else + #define __PYX_IS_UNSIGNED(type) (((type)-1) > 0) +#endif +#if CYTHON_COMPILING_IN_PYPY == 1 + #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX < 0x030A0000) +#else + #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX < 0x03090000) +#endif +#define __PYX_REINTERPRET_FUNCION(func_pointer, other_pointer) ((func_pointer)(void(*)(void))(other_pointer)) + +/* CInitCode */ +#ifndef CYTHON_INLINE + #if defined(__clang__) + #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) + #elif defined(__GNUC__) + #define CYTHON_INLINE __inline__ + #elif defined(_MSC_VER) + #define CYTHON_INLINE __inline + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_INLINE inline + #else + #define CYTHON_INLINE + #endif +#endif + +/* PythonCompatibility */ +#define __PYX_BUILD_PY_SSIZE_T "n" +#define CYTHON_FORMAT_SSIZE_T "z" +#define __Pyx_BUILTIN_MODULE_NAME "builtins" +#define __Pyx_DefaultClassType PyType_Type +#if CYTHON_COMPILING_IN_LIMITED_API + #ifndef CO_OPTIMIZED + static int CO_OPTIMIZED; + #endif + #ifndef CO_NEWLOCALS + static int CO_NEWLOCALS; + #endif + #ifndef CO_VARARGS + static int CO_VARARGS; + #endif + #ifndef CO_VARKEYWORDS + static int CO_VARKEYWORDS; + #endif + #ifndef CO_ASYNC_GENERATOR + static int CO_ASYNC_GENERATOR; + #endif + #ifndef CO_GENERATOR + static int CO_GENERATOR; + #endif + #ifndef CO_COROUTINE + static int CO_COROUTINE; + #endif +#else + #ifndef CO_COROUTINE + #define CO_COROUTINE 0x80 + #endif + #ifndef CO_ASYNC_GENERATOR + #define CO_ASYNC_GENERATOR 0x200 + #endif +#endif +static int __Pyx_init_co_variables(void); +#if PY_VERSION_HEX >= 0x030900A4 || defined(Py_IS_TYPE) + #define __Pyx_IS_TYPE(ob, type) Py_IS_TYPE(ob, type) +#else + #define __Pyx_IS_TYPE(ob, type) (((const PyObject*)ob)->ob_type == (type)) +#endif +#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_Is) + #define __Pyx_Py_Is(x, y) Py_Is(x, y) +#else + #define __Pyx_Py_Is(x, y) ((x) == (y)) +#endif +#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsNone) + #define __Pyx_Py_IsNone(ob) Py_IsNone(ob) +#else + #define __Pyx_Py_IsNone(ob) __Pyx_Py_Is((ob), Py_None) +#endif +#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsTrue) + #define __Pyx_Py_IsTrue(ob) Py_IsTrue(ob) +#else + #define __Pyx_Py_IsTrue(ob) __Pyx_Py_Is((ob), Py_True) +#endif +#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsFalse) + #define __Pyx_Py_IsFalse(ob) Py_IsFalse(ob) +#else + #define __Pyx_Py_IsFalse(ob) __Pyx_Py_Is((ob), Py_False) +#endif +#define __Pyx_NoneAsNull(obj) (__Pyx_Py_IsNone(obj) ? NULL : (obj)) +#if PY_VERSION_HEX >= 0x030900F0 && !CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyObject_GC_IsFinalized(o) PyObject_GC_IsFinalized(o) +#else + #define __Pyx_PyObject_GC_IsFinalized(o) _PyGC_FINALIZED(o) +#endif +#ifndef Py_TPFLAGS_CHECKTYPES + #define Py_TPFLAGS_CHECKTYPES 0 +#endif +#ifndef Py_TPFLAGS_HAVE_INDEX + #define Py_TPFLAGS_HAVE_INDEX 0 +#endif +#ifndef Py_TPFLAGS_HAVE_NEWBUFFER + #define Py_TPFLAGS_HAVE_NEWBUFFER 0 +#endif +#ifndef Py_TPFLAGS_HAVE_FINALIZE + #define Py_TPFLAGS_HAVE_FINALIZE 0 +#endif +#ifndef Py_TPFLAGS_SEQUENCE + #define Py_TPFLAGS_SEQUENCE 0 +#endif +#ifndef Py_TPFLAGS_MAPPING + #define Py_TPFLAGS_MAPPING 0 +#endif +#ifndef Py_TPFLAGS_IMMUTABLETYPE + #define Py_TPFLAGS_IMMUTABLETYPE (1UL << 8) +#endif +#ifndef Py_TPFLAGS_DISALLOW_INSTANTIATION + #define Py_TPFLAGS_DISALLOW_INSTANTIATION (1UL << 7) +#endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif +#ifndef METH_FASTCALL + #ifndef METH_FASTCALL + #define METH_FASTCALL 0x80 + #endif + typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); + typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, + Py_ssize_t nargs, PyObject *kwnames); +#else + #if PY_VERSION_HEX >= 0x030d00A4 + # define __Pyx_PyCFunctionFast PyCFunctionFast + # define __Pyx_PyCFunctionFastWithKeywords PyCFunctionFastWithKeywords + #else + # define __Pyx_PyCFunctionFast _PyCFunctionFast + # define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords + #endif +#endif +#if CYTHON_METH_FASTCALL + #define __Pyx_METH_FASTCALL METH_FASTCALL + #define __Pyx_PyCFunction_FastCall __Pyx_PyCFunctionFast + #define __Pyx_PyCFunction_FastCallWithKeywords __Pyx_PyCFunctionFastWithKeywords +#else + #define __Pyx_METH_FASTCALL METH_VARARGS + #define __Pyx_PyCFunction_FastCall PyCFunction + #define __Pyx_PyCFunction_FastCallWithKeywords PyCFunctionWithKeywords +#endif +#if CYTHON_VECTORCALL + #define __pyx_vectorcallfunc vectorcallfunc + #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET PY_VECTORCALL_ARGUMENTS_OFFSET + #define __Pyx_PyVectorcall_NARGS(n) PyVectorcall_NARGS((size_t)(n)) +#else + #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET 0 + #define __Pyx_PyVectorcall_NARGS(n) ((Py_ssize_t)(n)) +#endif +#if PY_VERSION_HEX >= 0x030900B1 +#define __Pyx_PyCFunction_CheckExact(func) PyCFunction_CheckExact(func) +#else +#define __Pyx_PyCFunction_CheckExact(func) PyCFunction_Check(func) +#endif +#define __Pyx_CyOrPyCFunction_Check(func) PyCFunction_Check(func) +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_CyOrPyCFunction_GET_FUNCTION(func) (((PyCFunctionObject*)(func))->m_ml->ml_meth) +#elif !CYTHON_COMPILING_IN_LIMITED_API +#define __Pyx_CyOrPyCFunction_GET_FUNCTION(func) PyCFunction_GET_FUNCTION(func) +#endif +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_CyOrPyCFunction_GET_FLAGS(func) (((PyCFunctionObject*)(func))->m_ml->ml_flags) +static CYTHON_INLINE PyObject* __Pyx_CyOrPyCFunction_GET_SELF(PyObject *func) { + return (__Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_STATIC) ? NULL : ((PyCFunctionObject*)func)->m_self; +} +#endif +static CYTHON_INLINE int __Pyx__IsSameCFunction(PyObject *func, void (*cfunc)(void)) { +#if CYTHON_COMPILING_IN_LIMITED_API + return PyCFunction_Check(func) && PyCFunction_GetFunction(func) == (PyCFunction) cfunc; +#else + return PyCFunction_Check(func) && PyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; +#endif +} +#define __Pyx_IsSameCFunction(func, cfunc) __Pyx__IsSameCFunction(func, cfunc) +#if PY_VERSION_HEX < 0x03090000 || (CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000) + #define __Pyx_PyType_FromModuleAndSpec(m, s, b) ((void)m, PyType_FromSpecWithBases(s, b)) + typedef PyObject *(*__Pyx_PyCMethod)(PyObject *, PyTypeObject *, PyObject *const *, size_t, PyObject *); +#else + #define __Pyx_PyType_FromModuleAndSpec(m, s, b) PyType_FromModuleAndSpec(m, s, b) + #define __Pyx_PyCMethod PyCMethod +#endif +#ifndef METH_METHOD + #define METH_METHOD 0x200 +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) + #define PyObject_Malloc(s) PyMem_Malloc(s) + #define PyObject_Free(p) PyMem_Free(p) + #define PyObject_Realloc(p) PyMem_Realloc(p) +#endif +#if CYTHON_COMPILING_IN_LIMITED_API + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) +#elif CYTHON_COMPILING_IN_GRAAL && defined(GRAALPY_VERSION_NUM) && GRAALPY_VERSION_NUM > 0x19000000 + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) GraalPyFrame_SetLineNumber((frame), (lineno)) +#elif CYTHON_COMPILING_IN_GRAAL + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) _PyFrame_SetLineNumber((frame), (lineno)) +#else + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) +#endif +#if CYTHON_COMPILING_IN_LIMITED_API + #define __Pyx_PyThreadState_Current PyThreadState_Get() +#elif !CYTHON_FAST_THREAD_STATE + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#elif PY_VERSION_HEX >= 0x030d00A1 + #define __Pyx_PyThreadState_Current PyThreadState_GetUnchecked() +#else + #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() +#endif +#if CYTHON_USE_MODULE_STATE +static CYTHON_INLINE void *__Pyx__PyModule_GetState(PyObject *op) +{ + void *result; + result = PyModule_GetState(op); + if (!result) + Py_FatalError("Couldn't find the module state"); + return result; +} +#define __Pyx_PyModule_GetState(o) (__pyx_mstatetype *)__Pyx__PyModule_GetState(o) +#else +#define __Pyx_PyModule_GetState(op) ((void)op,__pyx_mstate_global) +#endif +#define __Pyx_PyObject_GetSlot(obj, name, func_ctype) __Pyx_PyType_GetSlot(Py_TYPE((PyObject *) obj), name, func_ctype) +#define __Pyx_PyObject_TryGetSlot(obj, name, func_ctype) __Pyx_PyType_TryGetSlot(Py_TYPE(obj), name, func_ctype) +#define __Pyx_PyObject_GetSubSlot(obj, sub, name, func_ctype) __Pyx_PyType_GetSubSlot(Py_TYPE(obj), sub, name, func_ctype) +#define __Pyx_PyObject_TryGetSubSlot(obj, sub, name, func_ctype) __Pyx_PyType_TryGetSubSlot(Py_TYPE(obj), sub, name, func_ctype) +#if CYTHON_USE_TYPE_SLOTS + #define __Pyx_PyType_GetSlot(type, name, func_ctype) ((type)->name) + #define __Pyx_PyType_TryGetSlot(type, name, func_ctype) __Pyx_PyType_GetSlot(type, name, func_ctype) + #define __Pyx_PyType_GetSubSlot(type, sub, name, func_ctype) (((type)->sub) ? ((type)->sub->name) : NULL) + #define __Pyx_PyType_TryGetSubSlot(type, sub, name, func_ctype) __Pyx_PyType_GetSubSlot(type, sub, name, func_ctype) +#else + #define __Pyx_PyType_GetSlot(type, name, func_ctype) ((func_ctype) PyType_GetSlot((type), Py_##name)) + #define __Pyx_PyType_TryGetSlot(type, name, func_ctype)\ + ((__PYX_LIMITED_VERSION_HEX >= 0x030A0000 ||\ + (PyType_GetFlags(type) & Py_TPFLAGS_HEAPTYPE) || __Pyx_get_runtime_version() >= 0x030A0000) ?\ + __Pyx_PyType_GetSlot(type, name, func_ctype) : NULL) + #define __Pyx_PyType_GetSubSlot(obj, sub, name, func_ctype) __Pyx_PyType_GetSlot(obj, name, func_ctype) + #define __Pyx_PyType_TryGetSubSlot(obj, sub, name, func_ctype) __Pyx_PyType_TryGetSlot(obj, name, func_ctype) +#endif +#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) +#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) +#else +#define __Pyx_PyDict_NewPresized(n) PyDict_New() +#endif +#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) +#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) +#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_UNICODE_INTERNALS +#define __Pyx_PyDict_GetItemStrWithError(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) +static CYTHON_INLINE PyObject * __Pyx_PyDict_GetItemStr(PyObject *dict, PyObject *name) { + PyObject *res = __Pyx_PyDict_GetItemStrWithError(dict, name); + if (res == NULL) PyErr_Clear(); + return res; +} +#elif !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07020000 +#define __Pyx_PyDict_GetItemStrWithError PyDict_GetItemWithError +#define __Pyx_PyDict_GetItemStr PyDict_GetItem +#else +static CYTHON_INLINE PyObject * __Pyx_PyDict_GetItemStrWithError(PyObject *dict, PyObject *name) { +#if CYTHON_COMPILING_IN_PYPY + return PyDict_GetItem(dict, name); +#else + PyDictEntry *ep; + PyDictObject *mp = (PyDictObject*) dict; + long hash = ((PyStringObject *) name)->ob_shash; + assert(hash != -1); + ep = (mp->ma_lookup)(mp, name, hash); + if (ep == NULL) { + return NULL; + } + return ep->me_value; +#endif +} +#define __Pyx_PyDict_GetItemStr PyDict_GetItem +#endif +#if CYTHON_USE_TYPE_SLOTS + #define __Pyx_PyType_GetFlags(tp) (((PyTypeObject *)tp)->tp_flags) + #define __Pyx_PyType_HasFeature(type, feature) ((__Pyx_PyType_GetFlags(type) & (feature)) != 0) +#else + #define __Pyx_PyType_GetFlags(tp) (PyType_GetFlags((PyTypeObject *)tp)) + #define __Pyx_PyType_HasFeature(type, feature) PyType_HasFeature(type, feature) +#endif +#define __Pyx_PyObject_GetIterNextFunc(iterator) __Pyx_PyObject_GetSlot(iterator, tp_iternext, iternextfunc) +#if CYTHON_USE_TYPE_SPECS +#define __Pyx_PyHeapTypeObject_GC_Del(obj) {\ + PyTypeObject *type = Py_TYPE((PyObject*)obj);\ + assert(__Pyx_PyType_HasFeature(type, Py_TPFLAGS_HEAPTYPE));\ + PyObject_GC_Del(obj);\ + Py_DECREF(type);\ +} +#else +#define __Pyx_PyHeapTypeObject_GC_Del(obj) PyObject_GC_Del(obj) +#endif +#if CYTHON_COMPILING_IN_LIMITED_API + #define __Pyx_PyUnicode_READY(op) (0) + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_ReadChar(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((void)u, 1114111U) + #define __Pyx_PyUnicode_KIND(u) ((void)u, (0)) + #define __Pyx_PyUnicode_DATA(u) ((void*)u) + #define __Pyx_PyUnicode_READ(k, d, i) ((void)k, PyUnicode_ReadChar((PyObject*)(d), i)) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GetLength(u)) +#else + #if PY_VERSION_HEX >= 0x030C0000 + #define __Pyx_PyUnicode_READY(op) (0) + #else + #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ + 0 : _PyUnicode_Ready((PyObject *)(op))) + #endif + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) + #define __Pyx_PyUnicode_KIND(u) ((int)PyUnicode_KIND(u)) + #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) + #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, (Py_UCS4) ch) + #if PY_VERSION_HEX >= 0x030C0000 + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u)) + #else + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03090000 + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : ((PyCompactUnicodeObject *)(u))->wstr_length)) + #else + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) + #endif + #endif +#endif +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) +#else + #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ + PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) +#endif +#if CYTHON_COMPILING_IN_PYPY + #if !defined(PyUnicode_DecodeUnicodeEscape) + #define PyUnicode_DecodeUnicodeEscape(s, size, errors) PyUnicode_Decode(s, size, "unicode_escape", errors) + #endif + #if !defined(PyUnicode_Contains) + #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) + #endif + #if !defined(PyByteArray_Check) + #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) + #endif + #if !defined(PyObject_Format) + #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) + #endif +#endif +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030E0000 + #define __Pyx_PySequence_ListKeepNew(obj)\ + (likely(PyList_CheckExact(obj) && PyUnstable_Object_IsUniquelyReferenced(obj)) ? __Pyx_NewRef(obj) : PySequence_List(obj)) +#elif CYTHON_COMPILING_IN_CPYTHON + #define __Pyx_PySequence_ListKeepNew(obj)\ + (likely(PyList_CheckExact(obj) && Py_REFCNT(obj) == 1) ? __Pyx_NewRef(obj) : PySequence_List(obj)) +#else + #define __Pyx_PySequence_ListKeepNew(obj) PySequence_List(obj) +#endif +#ifndef PySet_CheckExact + #define PySet_CheckExact(obj) __Pyx_IS_TYPE(obj, &PySet_Type) +#endif +#if PY_VERSION_HEX >= 0x030900A4 + #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size) +#else + #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size) +#endif +enum __Pyx_ReferenceSharing { + __Pyx_ReferenceSharing_DefinitelyUnique, // We created it so we know it's unshared - no need to check + __Pyx_ReferenceSharing_OwnStrongReference, + __Pyx_ReferenceSharing_FunctionArgument, + __Pyx_ReferenceSharing_SharedReference, // Never trust it to be unshared because it's a global or similar +}; +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && PY_VERSION_HEX >= 0x030E0000 +#define __Pyx_IS_UNIQUELY_REFERENCED(o, sharing)\ + (sharing == __Pyx_ReferenceSharing_DefinitelyUnique ? 1 :\ + (sharing == __Pyx_ReferenceSharing_FunctionArgument ? PyUnstable_Object_IsUniqueReferencedTemporary(o) :\ + (sharing == __Pyx_ReferenceSharing_OwnStrongReference ? PyUnstable_Object_IsUniquelyReferenced(o) : 0))) +#elif (CYTHON_COMPILING_IN_CPYTHON && !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING) || CYTHON_COMPILING_IN_LIMITED_API +#define __Pyx_IS_UNIQUELY_REFERENCED(o, sharing) (((void)sharing), Py_REFCNT(o) == 1) +#else +#define __Pyx_IS_UNIQUELY_REFERENCED(o, sharing) (((void)o), ((void)sharing), 0) +#endif +#if CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + #if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + #define __Pyx_PyList_GetItemRef(o, i) PyList_GetItemRef(o, i) + #elif CYTHON_COMPILING_IN_LIMITED_API || !CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PyList_GetItemRef(o, i) (likely((i) >= 0) ? PySequence_GetItem(o, i) : (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) + #else + #define __Pyx_PyList_GetItemRef(o, i) PySequence_ITEM(o, i) + #endif +#elif CYTHON_COMPILING_IN_LIMITED_API || !CYTHON_ASSUME_SAFE_MACROS + #if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + #define __Pyx_PyList_GetItemRef(o, i) PyList_GetItemRef(o, i) + #else + #define __Pyx_PyList_GetItemRef(o, i) __Pyx_XNewRef(PyList_GetItem(o, i)) + #endif +#else + #define __Pyx_PyList_GetItemRef(o, i) __Pyx_NewRef(PyList_GET_ITEM(o, i)) +#endif +#if CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS && !CYTHON_COMPILING_IN_LIMITED_API && CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PyList_GetItemRefFast(o, i, unsafe_shared) (__Pyx_IS_UNIQUELY_REFERENCED(o, unsafe_shared) ?\ + __Pyx_NewRef(PyList_GET_ITEM(o, i)) : __Pyx_PyList_GetItemRef(o, i)) +#else + #define __Pyx_PyList_GetItemRefFast(o, i, unsafe_shared) __Pyx_PyList_GetItemRef(o, i) +#endif +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 +#define __Pyx_PyDict_GetItemRef(dict, key, result) PyDict_GetItemRef(dict, key, result) +#elif CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS +static CYTHON_INLINE int __Pyx_PyDict_GetItemRef(PyObject *dict, PyObject *key, PyObject **result) { + *result = PyObject_GetItem(dict, key); + if (*result == NULL) { + if (PyErr_ExceptionMatches(PyExc_KeyError)) { + PyErr_Clear(); + return 0; + } + return -1; + } + return 1; +} +#else +static CYTHON_INLINE int __Pyx_PyDict_GetItemRef(PyObject *dict, PyObject *key, PyObject **result) { + *result = PyDict_GetItemWithError(dict, key); + if (*result == NULL) { + return PyErr_Occurred() ? -1 : 0; + } + Py_INCREF(*result); + return 1; +} +#endif +#if defined(CYTHON_DEBUG_VISIT_CONST) && CYTHON_DEBUG_VISIT_CONST + #define __Pyx_VISIT_CONST(obj) Py_VISIT(obj) +#else + #define __Pyx_VISIT_CONST(obj) +#endif +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PySequence_ITEM(o, i) PySequence_ITEM(o, i) + #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) + #define __Pyx_PyTuple_SET_ITEM(o, i, v) (PyTuple_SET_ITEM(o, i, v), (0)) + #define __Pyx_PyTuple_GET_ITEM(o, i) PyTuple_GET_ITEM(o, i) + #define __Pyx_PyList_SET_ITEM(o, i, v) (PyList_SET_ITEM(o, i, v), (0)) + #define __Pyx_PyList_GET_ITEM(o, i) PyList_GET_ITEM(o, i) +#else + #define __Pyx_PySequence_ITEM(o, i) PySequence_GetItem(o, i) + #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) + #define __Pyx_PyTuple_SET_ITEM(o, i, v) PyTuple_SetItem(o, i, v) + #define __Pyx_PyTuple_GET_ITEM(o, i) PyTuple_GetItem(o, i) + #define __Pyx_PyList_SET_ITEM(o, i, v) PyList_SetItem(o, i, v) + #define __Pyx_PyList_GET_ITEM(o, i) PyList_GetItem(o, i) +#endif +#if CYTHON_ASSUME_SAFE_SIZE + #define __Pyx_PyTuple_GET_SIZE(o) PyTuple_GET_SIZE(o) + #define __Pyx_PyList_GET_SIZE(o) PyList_GET_SIZE(o) + #define __Pyx_PySet_GET_SIZE(o) PySet_GET_SIZE(o) + #define __Pyx_PyBytes_GET_SIZE(o) PyBytes_GET_SIZE(o) + #define __Pyx_PyByteArray_GET_SIZE(o) PyByteArray_GET_SIZE(o) + #define __Pyx_PyUnicode_GET_LENGTH(o) PyUnicode_GET_LENGTH(o) +#else + #define __Pyx_PyTuple_GET_SIZE(o) PyTuple_Size(o) + #define __Pyx_PyList_GET_SIZE(o) PyList_Size(o) + #define __Pyx_PySet_GET_SIZE(o) PySet_Size(o) + #define __Pyx_PyBytes_GET_SIZE(o) PyBytes_Size(o) + #define __Pyx_PyByteArray_GET_SIZE(o) PyByteArray_Size(o) + #define __Pyx_PyUnicode_GET_LENGTH(o) PyUnicode_GetLength(o) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_InternFromString) + #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) +#endif +#define __Pyx_PyLong_FromHash_t PyLong_FromSsize_t +#define __Pyx_PyLong_AsHash_t __Pyx_PyIndex_AsSsize_t +#if __PYX_LIMITED_VERSION_HEX >= 0x030A0000 + #define __Pyx_PySendResult PySendResult +#else + typedef enum { + PYGEN_RETURN = 0, + PYGEN_ERROR = -1, + PYGEN_NEXT = 1, + } __Pyx_PySendResult; +#endif +#if CYTHON_COMPILING_IN_LIMITED_API || PY_VERSION_HEX < 0x030A00A3 + typedef __Pyx_PySendResult (*__Pyx_pyiter_sendfunc)(PyObject *iter, PyObject *value, PyObject **result); +#else + #define __Pyx_pyiter_sendfunc sendfunc +#endif +#if !CYTHON_USE_AM_SEND +#define __PYX_HAS_PY_AM_SEND 0 +#elif __PYX_LIMITED_VERSION_HEX >= 0x030A0000 +#define __PYX_HAS_PY_AM_SEND 1 +#else +#define __PYX_HAS_PY_AM_SEND 2 // our own backported implementation +#endif +#if __PYX_HAS_PY_AM_SEND < 2 + #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods +#else + typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; + __Pyx_pyiter_sendfunc am_send; + } __Pyx_PyAsyncMethodsStruct; + #define __Pyx_SlotTpAsAsync(s) ((PyAsyncMethods*)(s)) +#endif +#if CYTHON_USE_AM_SEND && PY_VERSION_HEX < 0x030A00F0 + #define __Pyx_TPFLAGS_HAVE_AM_SEND (1UL << 21) +#else + #define __Pyx_TPFLAGS_HAVE_AM_SEND (0) +#endif +#if PY_VERSION_HEX >= 0x03090000 +#define __Pyx_PyInterpreterState_Get() PyInterpreterState_Get() +#else +#define __Pyx_PyInterpreterState_Get() PyThreadState_Get()->interp +#endif +#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030A0000 +#ifdef __cplusplus +extern "C" +#endif +PyAPI_FUNC(void *) PyMem_Calloc(size_t nelem, size_t elsize); +#endif +#if CYTHON_COMPILING_IN_LIMITED_API +static int __Pyx_init_co_variable(PyObject *inspect, const char* name, int *write_to) { + int value; + PyObject *py_value = PyObject_GetAttrString(inspect, name); + if (!py_value) return 0; + value = (int) PyLong_AsLong(py_value); + Py_DECREF(py_value); + *write_to = value; + return value != -1 || !PyErr_Occurred(); +} +static int __Pyx_init_co_variables(void) { + PyObject *inspect; + int result; + inspect = PyImport_ImportModule("inspect"); + result = +#if !defined(CO_OPTIMIZED) + __Pyx_init_co_variable(inspect, "CO_OPTIMIZED", &CO_OPTIMIZED) && +#endif +#if !defined(CO_NEWLOCALS) + __Pyx_init_co_variable(inspect, "CO_NEWLOCALS", &CO_NEWLOCALS) && +#endif +#if !defined(CO_VARARGS) + __Pyx_init_co_variable(inspect, "CO_VARARGS", &CO_VARARGS) && +#endif +#if !defined(CO_VARKEYWORDS) + __Pyx_init_co_variable(inspect, "CO_VARKEYWORDS", &CO_VARKEYWORDS) && +#endif +#if !defined(CO_ASYNC_GENERATOR) + __Pyx_init_co_variable(inspect, "CO_ASYNC_GENERATOR", &CO_ASYNC_GENERATOR) && +#endif +#if !defined(CO_GENERATOR) + __Pyx_init_co_variable(inspect, "CO_GENERATOR", &CO_GENERATOR) && +#endif +#if !defined(CO_COROUTINE) + __Pyx_init_co_variable(inspect, "CO_COROUTINE", &CO_COROUTINE) && +#endif + 1; + Py_DECREF(inspect); + return result ? 0 : -1; +} +#else +static int __Pyx_init_co_variables(void) { + return 0; // It's a limited API-only feature +} +#endif + +/* MathInitCode */ +#if defined(_WIN32) || defined(WIN32) || defined(MS_WINDOWS) + #ifndef _USE_MATH_DEFINES + #define _USE_MATH_DEFINES + #endif +#endif +#include +#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) +#define __Pyx_truncl trunc +#else +#define __Pyx_truncl truncl +#endif + +#ifndef CYTHON_CLINE_IN_TRACEBACK_RUNTIME +#define CYTHON_CLINE_IN_TRACEBACK_RUNTIME 0 +#endif +#ifndef CYTHON_CLINE_IN_TRACEBACK +#define CYTHON_CLINE_IN_TRACEBACK CYTHON_CLINE_IN_TRACEBACK_RUNTIME +#endif +#if CYTHON_CLINE_IN_TRACEBACK +#define __PYX_MARK_ERR_POS(f_index, lineno) { __pyx_filename = __pyx_f[f_index]; (void) __pyx_filename; __pyx_lineno = lineno; (void) __pyx_lineno; __pyx_clineno = __LINE__; (void) __pyx_clineno; } +#else +#define __PYX_MARK_ERR_POS(f_index, lineno) { __pyx_filename = __pyx_f[f_index]; (void) __pyx_filename; __pyx_lineno = lineno; (void) __pyx_lineno; (void) __pyx_clineno; } +#endif +#define __PYX_ERR(f_index, lineno, Ln_error) \ + { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; } + +#ifdef CYTHON_EXTERN_C + #undef __PYX_EXTERN_C + #define __PYX_EXTERN_C CYTHON_EXTERN_C +#elif defined(__PYX_EXTERN_C) + #ifdef _MSC_VER + #pragma message ("Please do not define the '__PYX_EXTERN_C' macro externally. Use 'CYTHON_EXTERN_C' instead.") + #else + #warning Please do not define the '__PYX_EXTERN_C' macro externally. Use 'CYTHON_EXTERN_C' instead. + #endif +#else + #ifdef __cplusplus + #define __PYX_EXTERN_C extern "C" + #else + #define __PYX_EXTERN_C extern + #endif +#endif + +#define __PYX_HAVE__core +#define __PYX_HAVE_API__core +/* Early includes */ +#include "pythread.h" +#include +#include +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) +#define CYTHON_WITHOUT_ASSERTIONS +#endif + +#ifdef CYTHON_FREETHREADING_COMPATIBLE +#if CYTHON_FREETHREADING_COMPATIBLE +#define __Pyx_FREETHREADING_COMPATIBLE Py_MOD_GIL_NOT_USED +#else +#define __Pyx_FREETHREADING_COMPATIBLE Py_MOD_GIL_USED +#endif +#else +#define __Pyx_FREETHREADING_COMPATIBLE Py_MOD_GIL_USED +#endif +#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 +#define __PYX_DEFAULT_STRING_ENCODING "" +#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString +#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#define __Pyx_uchar_cast(c) ((unsigned char)c) +#define __Pyx_long_cast(x) ((long)x) +#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ + (sizeof(type) < sizeof(Py_ssize_t)) ||\ + (sizeof(type) > sizeof(Py_ssize_t) &&\ + likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX) &&\ + (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ + v == (type)PY_SSIZE_T_MIN))) ||\ + (sizeof(type) == sizeof(Py_ssize_t) &&\ + (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} +#if defined (__cplusplus) && __cplusplus >= 201103L + #include + #define __Pyx_sst_abs(value) std::abs(value) +#elif SIZEOF_INT >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) abs(value) +#elif SIZEOF_LONG >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) labs(value) +#elif defined (_MSC_VER) + #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) +#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define __Pyx_sst_abs(value) llabs(value) +#elif defined (__GNUC__) + #define __Pyx_sst_abs(value) __builtin_llabs(value) +#else + #define __Pyx_sst_abs(value) ((value<0) ? -value : value) +#endif +static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s); +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); +static CYTHON_INLINE PyObject* __Pyx_PyByteArray_FromString(const char*); +#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) +#define __Pyx_PyBytes_FromString PyBytes_FromString +#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) + #define __Pyx_PyByteArray_AsString(s) PyByteArray_AS_STRING(s) +#else + #define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AsString(s)) + #define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AsString(s)) + #define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AsString(s)) + #define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AsString(s)) + #define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AsString(s)) + #define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AsString(s)) + #define __Pyx_PyByteArray_AsString(s) PyByteArray_AsString(s) +#endif +#define __Pyx_PyObject_AsWritableString(s) ((char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableSString(s) ((signed char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) +#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) +#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) +#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) +#define __Pyx_PyUnicode_FromOrdinal(o) PyUnicode_FromOrdinal((int)o) +#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode +static CYTHON_INLINE PyObject *__Pyx_NewRef(PyObject *obj) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030a0000 || defined(Py_NewRef) + return Py_NewRef(obj); +#else + Py_INCREF(obj); + return obj; +#endif +} +static CYTHON_INLINE PyObject *__Pyx_XNewRef(PyObject *obj) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030a0000 || defined(Py_XNewRef) + return Py_XNewRef(obj); +#else + Py_XINCREF(obj); + return obj; +#endif +} +static CYTHON_INLINE PyObject *__Pyx_Owned_Py_None(int b); +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); +static CYTHON_INLINE PyObject* __Pyx_PyNumber_Long(PyObject* x); +#define __Pyx_PySequence_Tuple(obj)\ + (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static CYTHON_INLINE PyObject * __Pyx_PyLong_FromSize_t(size_t); +static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject*); +#if CYTHON_ASSUME_SAFE_MACROS +#define __Pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) +#define __Pyx_PyFloat_AS_DOUBLE(x) PyFloat_AS_DOUBLE(x) +#else +#define __Pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) +#define __Pyx_PyFloat_AS_DOUBLE(x) PyFloat_AsDouble(x) +#endif +#define __Pyx_PyFloat_AsFloat(x) ((float) __Pyx_PyFloat_AsDouble(x)) +#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) +#if CYTHON_USE_PYLONG_INTERNALS + #if PY_VERSION_HEX >= 0x030C00A7 + #ifndef _PyLong_SIGN_MASK + #define _PyLong_SIGN_MASK 3 + #endif + #ifndef _PyLong_NON_SIZE_BITS + #define _PyLong_NON_SIZE_BITS 3 + #endif + #define __Pyx_PyLong_Sign(x) (((PyLongObject*)x)->long_value.lv_tag & _PyLong_SIGN_MASK) + #define __Pyx_PyLong_IsNeg(x) ((__Pyx_PyLong_Sign(x) & 2) != 0) + #define __Pyx_PyLong_IsNonNeg(x) (!__Pyx_PyLong_IsNeg(x)) + #define __Pyx_PyLong_IsZero(x) (__Pyx_PyLong_Sign(x) & 1) + #define __Pyx_PyLong_IsPos(x) (__Pyx_PyLong_Sign(x) == 0) + #define __Pyx_PyLong_CompactValueUnsigned(x) (__Pyx_PyLong_Digits(x)[0]) + #define __Pyx_PyLong_DigitCount(x) ((Py_ssize_t) (((PyLongObject*)x)->long_value.lv_tag >> _PyLong_NON_SIZE_BITS)) + #define __Pyx_PyLong_SignedDigitCount(x)\ + ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * __Pyx_PyLong_DigitCount(x)) + #if defined(PyUnstable_Long_IsCompact) && defined(PyUnstable_Long_CompactValue) + #define __Pyx_PyLong_IsCompact(x) PyUnstable_Long_IsCompact((PyLongObject*) x) + #define __Pyx_PyLong_CompactValue(x) PyUnstable_Long_CompactValue((PyLongObject*) x) + #else + #define __Pyx_PyLong_IsCompact(x) (((PyLongObject*)x)->long_value.lv_tag < (2 << _PyLong_NON_SIZE_BITS)) + #define __Pyx_PyLong_CompactValue(x) ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * (Py_ssize_t) __Pyx_PyLong_Digits(x)[0]) + #endif + typedef Py_ssize_t __Pyx_compact_pylong; + typedef size_t __Pyx_compact_upylong; + #else + #define __Pyx_PyLong_IsNeg(x) (Py_SIZE(x) < 0) + #define __Pyx_PyLong_IsNonNeg(x) (Py_SIZE(x) >= 0) + #define __Pyx_PyLong_IsZero(x) (Py_SIZE(x) == 0) + #define __Pyx_PyLong_IsPos(x) (Py_SIZE(x) > 0) + #define __Pyx_PyLong_CompactValueUnsigned(x) ((Py_SIZE(x) == 0) ? 0 : __Pyx_PyLong_Digits(x)[0]) + #define __Pyx_PyLong_DigitCount(x) __Pyx_sst_abs(Py_SIZE(x)) + #define __Pyx_PyLong_SignedDigitCount(x) Py_SIZE(x) + #define __Pyx_PyLong_IsCompact(x) (Py_SIZE(x) == 0 || Py_SIZE(x) == 1 || Py_SIZE(x) == -1) + #define __Pyx_PyLong_CompactValue(x)\ + ((Py_SIZE(x) == 0) ? (sdigit) 0 : ((Py_SIZE(x) < 0) ? -(sdigit)__Pyx_PyLong_Digits(x)[0] : (sdigit)__Pyx_PyLong_Digits(x)[0])) + typedef sdigit __Pyx_compact_pylong; + typedef digit __Pyx_compact_upylong; + #endif + #if PY_VERSION_HEX >= 0x030C00A5 + #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->long_value.ob_digit) + #else + #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->ob_digit) + #endif +#endif +#if __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 + #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) +#elif __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeASCII(c_str, size, NULL) +#else + #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) +#endif + + +/* Test for GCC > 2.95 */ +#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) +#else /* !__GNUC__ or GCC < 2.95 */ + #define likely(x) (x) + #define unlikely(x) (x) +#endif /* __GNUC__ */ +/* PretendToInitialize */ +#ifdef __cplusplus +#if __cplusplus > 201103L +#include +#endif +template +static void __Pyx_pretend_to_initialize(T* ptr) { +#if __cplusplus > 201103L + if ((std::is_trivially_default_constructible::value)) +#endif + *ptr = T(); + (void)ptr; +} +#else +static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } +#endif + + +#if !CYTHON_USE_MODULE_STATE +static PyObject *__pyx_m = NULL; +#endif +static int __pyx_lineno; +static int __pyx_clineno = 0; +static const char * const __pyx_cfilenm = __FILE__; +static const char *__pyx_filename; + +/* #### Code section: filename_table ### */ + +static const char* const __pyx_f[] = { + "core.pyx", + "", +}; +/* #### Code section: utility_code_proto_before_types ### */ +/* Atomics.proto (used by UnpackUnboundCMethod) */ +#include +#ifndef CYTHON_ATOMICS + #define CYTHON_ATOMICS 1 +#endif +#define __PYX_CYTHON_ATOMICS_ENABLED() CYTHON_ATOMICS +#define __PYX_GET_CYTHON_COMPILING_IN_CPYTHON_FREETHREADING() CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +#define __pyx_atomic_int_type int +#define __pyx_nonatomic_int_type int +#if CYTHON_ATOMICS && (defined(__STDC_VERSION__) &&\ + (__STDC_VERSION__ >= 201112L) &&\ + !defined(__STDC_NO_ATOMICS__)) + #include +#elif CYTHON_ATOMICS && (defined(__cplusplus) && (\ + (__cplusplus >= 201103L) ||\ + (defined(_MSC_VER) && _MSC_VER >= 1700))) + #include +#endif +#if CYTHON_ATOMICS && (defined(__STDC_VERSION__) &&\ + (__STDC_VERSION__ >= 201112L) &&\ + !defined(__STDC_NO_ATOMICS__) &&\ + ATOMIC_INT_LOCK_FREE == 2) + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type atomic_int + #define __pyx_atomic_ptr_type atomic_uintptr_t + #define __pyx_nonatomic_ptr_type uintptr_t + #define __pyx_atomic_incr_relaxed(value) atomic_fetch_add_explicit(value, 1, memory_order_relaxed) + #define __pyx_atomic_incr_acq_rel(value) atomic_fetch_add_explicit(value, 1, memory_order_acq_rel) + #define __pyx_atomic_decr_acq_rel(value) atomic_fetch_sub_explicit(value, 1, memory_order_acq_rel) + #define __pyx_atomic_sub(value, arg) atomic_fetch_sub(value, arg) + #define __pyx_atomic_int_cmp_exchange(value, expected, desired) atomic_compare_exchange_strong(value, expected, desired) + #define __pyx_atomic_load(value) atomic_load(value) + #define __pyx_atomic_store(value, new_value) atomic_store(value, new_value) + #define __pyx_atomic_pointer_load_relaxed(value) atomic_load_explicit(value, memory_order_relaxed) + #define __pyx_atomic_pointer_load_acquire(value) atomic_load_explicit(value, memory_order_acquire) + #define __pyx_atomic_pointer_exchange(value, new_value) atomic_exchange(value, (__pyx_nonatomic_ptr_type)new_value) + #define __pyx_atomic_pointer_cmp_exchange(value, expected, desired) atomic_compare_exchange_strong(value, expected, desired) + #if defined(__PYX_DEBUG_ATOMICS) && defined(_MSC_VER) + #pragma message ("Using standard C atomics") + #elif defined(__PYX_DEBUG_ATOMICS) + #warning "Using standard C atomics" + #endif +#elif CYTHON_ATOMICS && (defined(__cplusplus) && (\ + (__cplusplus >= 201103L) ||\ +\ + (defined(_MSC_VER) && _MSC_VER >= 1700)) &&\ + ATOMIC_INT_LOCK_FREE == 2) + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type std::atomic_int + #define __pyx_atomic_ptr_type std::atomic_uintptr_t + #define __pyx_nonatomic_ptr_type uintptr_t + #define __pyx_atomic_incr_relaxed(value) std::atomic_fetch_add_explicit(value, 1, std::memory_order_relaxed) + #define __pyx_atomic_incr_acq_rel(value) std::atomic_fetch_add_explicit(value, 1, std::memory_order_acq_rel) + #define __pyx_atomic_decr_acq_rel(value) std::atomic_fetch_sub_explicit(value, 1, std::memory_order_acq_rel) + #define __pyx_atomic_sub(value, arg) std::atomic_fetch_sub(value, arg) + #define __pyx_atomic_int_cmp_exchange(value, expected, desired) std::atomic_compare_exchange_strong(value, expected, desired) + #define __pyx_atomic_load(value) std::atomic_load(value) + #define __pyx_atomic_store(value, new_value) std::atomic_store(value, new_value) + #define __pyx_atomic_pointer_load_relaxed(value) std::atomic_load_explicit(value, std::memory_order_relaxed) + #define __pyx_atomic_pointer_load_acquire(value) std::atomic_load_explicit(value, std::memory_order_acquire) + #define __pyx_atomic_pointer_exchange(value, new_value) std::atomic_exchange(value, (__pyx_nonatomic_ptr_type)new_value) + #define __pyx_atomic_pointer_cmp_exchange(value, expected, desired) std::atomic_compare_exchange_strong(value, expected, desired) + #if defined(__PYX_DEBUG_ATOMICS) && defined(_MSC_VER) + #pragma message ("Using standard C++ atomics") + #elif defined(__PYX_DEBUG_ATOMICS) + #warning "Using standard C++ atomics" + #endif +#elif CYTHON_ATOMICS && (__GNUC__ >= 5 || (__GNUC__ == 4 &&\ + (__GNUC_MINOR__ > 1 ||\ + (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL__ >= 2)))) + #define __pyx_atomic_ptr_type void* + #define __pyx_nonatomic_ptr_type void* + #define __pyx_atomic_incr_relaxed(value) __sync_fetch_and_add(value, 1) + #define __pyx_atomic_incr_acq_rel(value) __sync_fetch_and_add(value, 1) + #define __pyx_atomic_decr_acq_rel(value) __sync_fetch_and_sub(value, 1) + #define __pyx_atomic_sub(value, arg) __sync_fetch_and_sub(value, arg) + static CYTHON_INLINE int __pyx_atomic_int_cmp_exchange(__pyx_atomic_int_type* value, __pyx_nonatomic_int_type* expected, __pyx_nonatomic_int_type desired) { + __pyx_nonatomic_int_type old = __sync_val_compare_and_swap(value, *expected, desired); + int result = old == *expected; + *expected = old; + return result; + } + #define __pyx_atomic_load(value) __sync_fetch_and_add(value, 0) + #define __pyx_atomic_store(value, new_value) __sync_lock_test_and_set(value, new_value) + #define __pyx_atomic_pointer_load_relaxed(value) __sync_fetch_and_add(value, 0) + #define __pyx_atomic_pointer_load_acquire(value) __sync_fetch_and_add(value, 0) + #define __pyx_atomic_pointer_exchange(value, new_value) __sync_lock_test_and_set(value, (__pyx_atomic_ptr_type)new_value) + static CYTHON_INLINE int __pyx_atomic_pointer_cmp_exchange(__pyx_atomic_ptr_type* value, __pyx_nonatomic_ptr_type* expected, __pyx_nonatomic_ptr_type desired) { + __pyx_nonatomic_ptr_type old = __sync_val_compare_and_swap(value, *expected, desired); + int result = old == *expected; + *expected = old; + return result; + } + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using GNU atomics" + #endif +#elif CYTHON_ATOMICS && defined(_MSC_VER) + #include + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type long + #define __pyx_atomic_ptr_type void* + #undef __pyx_nonatomic_int_type + #define __pyx_nonatomic_int_type long + #define __pyx_nonatomic_ptr_type void* + #pragma intrinsic (_InterlockedExchangeAdd, _InterlockedExchange, _InterlockedCompareExchange, _InterlockedCompareExchangePointer, _InterlockedExchangePointer) + #define __pyx_atomic_incr_relaxed(value) _InterlockedExchangeAdd(value, 1) + #define __pyx_atomic_incr_acq_rel(value) _InterlockedExchangeAdd(value, 1) + #define __pyx_atomic_decr_acq_rel(value) _InterlockedExchangeAdd(value, -1) + #define __pyx_atomic_sub(value, arg) _InterlockedExchangeAdd(value, -arg) + static CYTHON_INLINE int __pyx_atomic_int_cmp_exchange(__pyx_atomic_int_type* value, __pyx_nonatomic_int_type* expected, __pyx_nonatomic_int_type desired) { + __pyx_nonatomic_int_type old = _InterlockedCompareExchange(value, desired, *expected); + int result = old == *expected; + *expected = old; + return result; + } + #define __pyx_atomic_load(value) _InterlockedExchangeAdd(value, 0) + #define __pyx_atomic_store(value, new_value) _InterlockedExchange(value, new_value) + #define __pyx_atomic_pointer_load_relaxed(value) *(void * volatile *)value + #define __pyx_atomic_pointer_load_acquire(value) _InterlockedCompareExchangePointer(value, 0, 0) + #define __pyx_atomic_pointer_exchange(value, new_value) _InterlockedExchangePointer(value, (__pyx_atomic_ptr_type)new_value) + static CYTHON_INLINE int __pyx_atomic_pointer_cmp_exchange(__pyx_atomic_ptr_type* value, __pyx_nonatomic_ptr_type* expected, __pyx_nonatomic_ptr_type desired) { + __pyx_atomic_ptr_type old = _InterlockedCompareExchangePointer(value, desired, *expected); + int result = old == *expected; + *expected = old; + return result; + } + #ifdef __PYX_DEBUG_ATOMICS + #pragma message ("Using MSVC atomics") + #endif +#else + #undef CYTHON_ATOMICS + #define CYTHON_ATOMICS 0 + #ifdef __PYX_DEBUG_ATOMICS + #warning "Not using atomics" + #endif +#endif + +/* CriticalSectionsDefinition.proto (used by CriticalSections) */ +#if !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +#define __Pyx_PyCriticalSection void* +#define __Pyx_PyCriticalSection2 void* +#define __Pyx_PyCriticalSection_End(cs) +#define __Pyx_PyCriticalSection2_End(cs) +#else +#define __Pyx_PyCriticalSection PyCriticalSection +#define __Pyx_PyCriticalSection2 PyCriticalSection2 +#define __Pyx_PyCriticalSection_End PyCriticalSection_End +#define __Pyx_PyCriticalSection2_End PyCriticalSection2_End +#endif + +/* CriticalSections.proto (used by ParseKeywordsImpl) */ +#if !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +#define __Pyx_PyCriticalSection_Begin(cs, arg) (void)(cs) +#define __Pyx_PyCriticalSection2_Begin(cs, arg1, arg2) (void)(cs) +#else +#define __Pyx_PyCriticalSection_Begin PyCriticalSection_Begin +#define __Pyx_PyCriticalSection2_Begin PyCriticalSection2_Begin +#endif +#if PY_VERSION_HEX < 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API +#define __Pyx_BEGIN_CRITICAL_SECTION(o) { +#define __Pyx_END_CRITICAL_SECTION() } +#else +#define __Pyx_BEGIN_CRITICAL_SECTION Py_BEGIN_CRITICAL_SECTION +#define __Pyx_END_CRITICAL_SECTION Py_END_CRITICAL_SECTION +#endif + +/* ForceInitThreads.proto */ +#ifndef __PYX_FORCE_INIT_THREADS + #define __PYX_FORCE_INIT_THREADS 0 +#endif + +/* NoFastGil.proto */ +#define __Pyx_PyGILState_Ensure PyGILState_Ensure +#define __Pyx_PyGILState_Release PyGILState_Release +#define __Pyx_FastGIL_Remember() +#define __Pyx_FastGIL_Forget() +#define __Pyx_FastGilFuncInit() + +/* IncludeStructmemberH.proto (used by FixUpExtensionType) */ +#include + +/* BufferFormatStructs.proto */ +struct __Pyx_StructField_; +#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) +typedef struct { + const char* name; + const struct __Pyx_StructField_* fields; + size_t size; + size_t arraysize[8]; + int ndim; + char typegroup; + char is_unsigned; + int flags; +} __Pyx_TypeInfo; +typedef struct __Pyx_StructField_ { + const __Pyx_TypeInfo* type; + const char* name; + size_t offset; +} __Pyx_StructField; +typedef struct { + const __Pyx_StructField* field; + size_t parent_offset; +} __Pyx_BufFmt_StackElem; +typedef struct { + __Pyx_StructField root; + __Pyx_BufFmt_StackElem* head; + size_t fmt_offset; + size_t new_count, enc_count; + size_t struct_alignment; + int is_complex; + char enc_type; + char new_packmode; + char enc_packmode; + char is_valid_array; +} __Pyx_BufFmt_Context; + +/* MemviewSliceStruct.proto */ +struct __pyx_memoryview_obj; +typedef struct { + struct __pyx_memoryview_obj *memview; + char *data; + Py_ssize_t shape[8]; + Py_ssize_t strides[8]; + Py_ssize_t suboffsets[8]; +} __Pyx_memviewslice; +#define __Pyx_MemoryView_Len(m) (m.shape[0]) +#define __Pyx_MEMVIEW_DIRECT 1 +#define __Pyx_MEMVIEW_PTR 2 +#define __Pyx_MEMVIEW_FULL 4 +#define __Pyx_MEMVIEW_CONTIG 8 +#define __Pyx_MEMVIEW_STRIDED 16 +#define __Pyx_MEMVIEW_FOLLOW 32 +#define __Pyx_IS_C_CONTIG 1 +#define __Pyx_IS_F_CONTIG 2 +#define __Pyx_MEMSLICE_INIT { 0, 0, { 0 }, { 0 }, { 0 } } +#if CYTHON_ATOMICS + #define __pyx_add_acquisition_count(memview)\ + __pyx_atomic_incr_relaxed(__pyx_get_slice_count_pointer(memview)) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_atomic_decr_acq_rel(__pyx_get_slice_count_pointer(memview)) +#else + #define __pyx_add_acquisition_count(memview)\ + __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) +#endif + +/* #### Code section: numeric_typedefs ### */ +/* #### Code section: complex_type_declarations ### */ +/* #### Code section: type_declarations ### */ + +/*--- Type declarations ---*/ +struct __pyx_array_obj; +struct __pyx_MemviewEnum_obj; +struct __pyx_memoryview_obj; +struct __pyx_memoryviewslice_obj; +struct __pyx_opt_args_4core_maximum_path_each; + +/* "core.pyx":7 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_y, int t_x, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<< + * cdef int x + * cdef int y +*/ +struct __pyx_opt_args_4core_maximum_path_each { + int __pyx_n; + float max_neg_val; +}; + +/* "View.MemoryView":118 + * + * + * 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__Pyx_XDECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_XDECREF(tmp);\ + } while (0) +#define __Pyx_DECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_DECREF(tmp);\ + } while (0) +#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) +#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) + +/* TupleAndListFromArray.proto (used by fastcall) */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyList_FromArray(PyObject *const *src, Py_ssize_t n); +#endif +#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_METH_FASTCALL +static CYTHON_INLINE PyObject* __Pyx_PyTuple_FromArray(PyObject *const *src, Py_ssize_t n); +#endif + +/* IncludeStringH.proto (used by BytesEquals) */ +#include + +/* BytesEquals.proto (used by UnicodeEquals) */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); + +/* UnicodeEquals.proto (used by fastcall) */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); + +/* fastcall.proto */ +#if CYTHON_AVOID_BORROWED_REFS + #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_PySequence_ITEM(args, i) +#elif CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_NewRef(__Pyx_PyTuple_GET_ITEM(args, i)) +#else + #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_XNewRef(PyTuple_GetItem(args, i)) +#endif +#define __Pyx_NumKwargs_VARARGS(kwds) PyDict_Size(kwds) +#define __Pyx_KwValues_VARARGS(args, nargs) NULL +#define __Pyx_GetKwValue_VARARGS(kw, kwvalues, s) __Pyx_PyDict_GetItemStrWithError(kw, s) +#define __Pyx_KwargsAsDict_VARARGS(kw, kwvalues) PyDict_Copy(kw) +#if CYTHON_METH_FASTCALL + #define __Pyx_ArgRef_FASTCALL(args, i) __Pyx_NewRef(args[i]) + #define __Pyx_NumKwargs_FASTCALL(kwds) __Pyx_PyTuple_GET_SIZE(kwds) + #define __Pyx_KwValues_FASTCALL(args, nargs) ((args) + (nargs)) + static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s); + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API + CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues); + #else + #define __Pyx_KwargsAsDict_FASTCALL(kw, kwvalues) _PyStack_AsDict(kwvalues, kw) + #endif +#else + #define __Pyx_ArgRef_FASTCALL __Pyx_ArgRef_VARARGS + #define __Pyx_NumKwargs_FASTCALL __Pyx_NumKwargs_VARARGS + #define __Pyx_KwValues_FASTCALL __Pyx_KwValues_VARARGS + #define __Pyx_GetKwValue_FASTCALL __Pyx_GetKwValue_VARARGS + #define __Pyx_KwargsAsDict_FASTCALL __Pyx_KwargsAsDict_VARARGS +#endif +#define __Pyx_ArgsSlice_VARARGS(args, start, stop) PyTuple_GetSlice(args, start, stop) +#if CYTHON_METH_FASTCALL || (CYTHON_COMPILING_IN_CPYTHON && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) +#define __Pyx_ArgsSlice_FASTCALL(args, start, stop) __Pyx_PyTuple_FromArray(args + start, stop - start) +#else +#define __Pyx_ArgsSlice_FASTCALL(args, start, stop) PyTuple_GetSlice(args, start, stop) +#endif + +/* py_dict_items.proto (used by OwnedDictNext) */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Items(PyObject* d); + +/* CallCFunction.proto (used by CallUnboundCMethod0) */ +#define __Pyx_CallCFunction(cfunc, self, args)\ + ((PyCFunction)(void(*)(void))(cfunc)->func)(self, args) +#define __Pyx_CallCFunctionWithKeywords(cfunc, self, args, kwargs)\ + ((PyCFunctionWithKeywords)(void(*)(void))(cfunc)->func)(self, args, kwargs) +#define __Pyx_CallCFunctionFast(cfunc, self, args, nargs)\ + ((__Pyx_PyCFunctionFast)(void(*)(void))(PyCFunction)(cfunc)->func)(self, args, nargs) +#define __Pyx_CallCFunctionFastWithKeywords(cfunc, self, args, nargs, kwnames)\ + ((__Pyx_PyCFunctionFastWithKeywords)(void(*)(void))(PyCFunction)(cfunc)->func)(self, args, nargs, kwnames) + +/* PyObjectCall.proto (used by PyObjectFastCall) */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + +/* PyObjectCallMethO.proto (used by PyObjectFastCall) */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); +#endif + +/* PyObjectFastCall.proto (used by PyObjectCallOneArg) */ +#define __Pyx_PyObject_FastCall(func, args, nargs) __Pyx_PyObject_FastCallDict(func, args, (size_t)(nargs), NULL) +static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject * const*args, size_t nargs, PyObject *kwargs); + +/* PyObjectCallOneArg.proto (used by CallUnboundCMethod0) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); + +/* PyObjectGetAttrStr.proto (used by UnpackUnboundCMethod) */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) +#endif + +/* UnpackUnboundCMethod.proto (used by CallUnboundCMethod0) */ +typedef struct { + PyObject *type; + PyObject **method_name; +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && CYTHON_ATOMICS + __pyx_atomic_int_type initialized; +#endif + PyCFunction func; + PyObject *method; + int flag; +} __Pyx_CachedCFunction; +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +static CYTHON_INLINE int __Pyx_CachedCFunction_GetAndSetInitializing(__Pyx_CachedCFunction *cfunc) { +#if !CYTHON_ATOMICS + return 1; +#else + __pyx_nonatomic_int_type expected = 0; + if (__pyx_atomic_int_cmp_exchange(&cfunc->initialized, &expected, 1)) { + return 0; + } + return expected; +#endif +} +static CYTHON_INLINE void __Pyx_CachedCFunction_SetFinishedInitializing(__Pyx_CachedCFunction *cfunc) { +#if CYTHON_ATOMICS + __pyx_atomic_store(&cfunc->initialized, 2); +#endif +} +#else +#define __Pyx_CachedCFunction_GetAndSetInitializing(cfunc) 2 +#define __Pyx_CachedCFunction_SetFinishedInitializing(cfunc) +#endif + +/* CallUnboundCMethod0.proto */ +CYTHON_UNUSED +static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self); +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self); +#else +#define __Pyx_CallUnboundCMethod0(cfunc, self) __Pyx__CallUnboundCMethod0(cfunc, self) +#endif + +/* py_dict_values.proto (used by OwnedDictNext) */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Values(PyObject* d); + +/* OwnedDictNext.proto (used by ParseKeywordsImpl) */ +#if CYTHON_AVOID_BORROWED_REFS +static int __Pyx_PyDict_NextRef(PyObject *p, PyObject **ppos, PyObject **pkey, PyObject **pvalue); +#else +CYTHON_INLINE +static int __Pyx_PyDict_NextRef(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue); +#endif + +/* RaiseDoubleKeywords.proto (used by ParseKeywordsImpl) */ +static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); + +/* ParseKeywordsImpl.export */ +static int __Pyx_ParseKeywordsTuple( + PyObject *kwds, + PyObject * const *kwvalues, + PyObject ** const argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs +); +static int __Pyx_ParseKeywordDictToDict( + PyObject *kwds, + PyObject ** const argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name +); +static int __Pyx_ParseKeywordDict( + PyObject *kwds, + PyObject ** const argnames[], + PyObject *values[], + Py_ssize_t num_pos_args, + Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs +); + +/* CallUnboundCMethod2.proto */ +CYTHON_UNUSED +static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2); +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2); +#else +#define __Pyx_CallUnboundCMethod2(cfunc, self, arg1, arg2) __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2) +#endif + +/* ParseKeywords.proto */ +static CYTHON_INLINE int __Pyx_ParseKeywords( + PyObject *kwds, PyObject *const *kwvalues, PyObject ** const argnames[], + PyObject *kwds2, PyObject *values[], + Py_ssize_t num_pos_args, Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs +); + +/* RaiseArgTupleInvalid.proto */ +static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, + Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); + +/* ArgTypeTestFunc.export */ +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely(__Pyx_IS_TYPE(obj, type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) + +/* PyErrExceptionMatches.proto (used by PyObjectGetAttrStrNoError) */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) +static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); +#else +#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) +#endif + +/* PyThreadStateGet.proto (used by PyErrFetchRestore) */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; +#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current; +#if PY_VERSION_HEX >= 0x030C00A6 +#define __Pyx_PyErr_Occurred() (__pyx_tstate->current_exception != NULL) +#define __Pyx_PyErr_CurrentExceptionType() (__pyx_tstate->current_exception ? (PyObject*) Py_TYPE(__pyx_tstate->current_exception) : (PyObject*) NULL) +#else +#define __Pyx_PyErr_Occurred() (__pyx_tstate->curexc_type != NULL) +#define __Pyx_PyErr_CurrentExceptionType() (__pyx_tstate->curexc_type) +#endif +#else +#define __Pyx_PyThreadState_declare +#define __Pyx_PyThreadState_assign +#define __Pyx_PyErr_Occurred() (PyErr_Occurred() != NULL) +#define __Pyx_PyErr_CurrentExceptionType() PyErr_Occurred() +#endif + +/* PyErrFetchRestore.proto (used by PyObjectGetAttrStrNoError) */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL) +#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A6 +#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL)) +#else +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#endif +#else +#define __Pyx_PyErr_Clear() PyErr_Clear() +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) +#endif + +/* PyObjectGetAttrStrNoError.proto (used by GetBuiltinName) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name); + +/* GetBuiltinName.proto */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name); + +/* PyValueError_Check.proto */ +#define __Pyx_PyExc_ValueError_Check(obj) __Pyx_TypeCheck(obj, PyExc_ValueError) + +/* RaiseException.export */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); + +/* PyObjectFastCallMethod.proto */ +#if CYTHON_VECTORCALL && PY_VERSION_HEX >= 0x03090000 +#define __Pyx_PyObject_FastCallMethod(name, args, nargsf) PyObject_VectorcallMethod(name, args, nargsf, NULL) +#else +static PyObject *__Pyx_PyObject_FastCallMethod(PyObject *name, PyObject *const *args, size_t nargsf); +#endif + +/* RaiseUnexpectedTypeError.proto */ +static int __Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj); + +/* PyMemoryError_Check.proto */ +#define __Pyx_PyExc_MemoryError_Check(obj) __Pyx_TypeCheck(obj, PyExc_MemoryError) + +/* BuildPyUnicode.proto (used by COrdinalToPyUnicode) */ +static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, const char* chars, int clength, + int prepend_sign, char padding_char); + +/* COrdinalToPyUnicode.proto (used by CIntToPyUnicode) */ +static CYTHON_INLINE int __Pyx_CheckUnicodeValue(int value); +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromOrdinal_Padded(int value, Py_ssize_t width, char padding_char); + +/* GCCDiagnostics.proto (used by CIntToPyUnicode) */ +#if !defined(__INTEL_COMPILER) && defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) +#define __Pyx_HAS_GCC_DIAGNOSTIC +#endif + +/* IncludeStdlibH.proto (used by CIntToPyUnicode) */ +#include + +/* CIntToPyUnicode.proto */ +#define __Pyx_PyUnicode_From_int(value, width, padding_char, format_char) (\ + ((format_char) == ('c')) ?\ + __Pyx_uchar___Pyx_PyUnicode_From_int(value, width, padding_char) :\ + __Pyx____Pyx_PyUnicode_From_int(value, width, padding_char, format_char)\ + ) +static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char); +static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char); + +/* CIntToPyUnicode.proto */ +#define __Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char) (\ + ((format_char) == ('c')) ?\ + __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char) :\ + __Pyx____Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char)\ + ) +static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char); +static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); + +/* JoinPyUnicode.export */ +static PyObject* __Pyx_PyUnicode_Join(PyObject** values, Py_ssize_t value_count, Py_ssize_t result_ulength, + Py_UCS4 max_char); + +/* PyObjectFormatSimple.proto */ +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyObject_FormatSimple(s, f) (\ + likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ + PyObject_Format(s, f)) +#elif CYTHON_USE_TYPE_SLOTS + #define __Pyx_PyObject_FormatSimple(s, f) (\ + likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ + likely(PyLong_CheckExact(s)) ? PyLong_Type.tp_repr(s) :\ + likely(PyFloat_CheckExact(s)) ? PyFloat_Type.tp_repr(s) :\ + PyObject_Format(s, f)) +#else + #define __Pyx_PyObject_FormatSimple(s, f) (\ + likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ + PyObject_Format(s, f)) +#endif + +CYTHON_UNUSED static int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ +/* GetAttr.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); + +/* GetItemInt.proto */ +#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck, unsafe_shared) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ + __Pyx_GetItemInt_Generic(o, to_py_func(i)))) +#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ + (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck, int unsafe_shared); +#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ + (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck, int unsafe_shared); +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, + int is_list, int wraparound, int boundscheck, int unsafe_shared); + +/* ObjectGetItem.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key); +#else +#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) +#endif + +/* RejectKeywords.export */ +static void __Pyx_RejectKeywords(const char* function_name, PyObject *kwds); + +/* PyTypeError_Check.proto */ +#define __Pyx_PyExc_TypeError_Check(obj) __Pyx_TypeCheck(obj, PyExc_TypeError) + +/* DivInt[Py_ssize_t].proto */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t, int b_is_constant); + +/* UnaryNegOverflows.proto */ +#define __Pyx_UNARY_NEG_WOULD_OVERFLOW(x)\ + (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) + +/* GetAttr3.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); + +/* PyDictVersioning.proto (used by GetModuleGlobalName) */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __Pyx_XNewRef(__pyx_dict_cached_value);\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); +#else +#define __PYX_GET_DICT_VERSION(dict) (0) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); +#endif + +/* GetModuleGlobalName.proto */ +#if CYTHON_USE_DICT_VERSIONS +#define __Pyx_GetModuleGlobalName(var, name) do {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_mstate_global->__pyx_d))) ?\ + (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ + __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} while(0) +#define __Pyx_GetModuleGlobalNameUncached(var, name) do {\ + PY_UINT64_T __pyx_dict_version;\ + PyObject *__pyx_dict_cached_value;\ + (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} while(0) +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); +#else +#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) +#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); +#endif + +/* AssertionsEnabled.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API || PY_VERSION_HEX >= 0x030C0000 + static int __pyx_assertions_enabled_flag; + #define __pyx_assertions_enabled() (__pyx_assertions_enabled_flag) + #if __clang__ || __GNUC__ + __attribute__((no_sanitize("thread"))) + #endif + static int __Pyx_init_assertions_enabled(void) { + PyObject *builtins, *debug, *debug_str; + int flag; + builtins = PyEval_GetBuiltins(); + if (!builtins) goto bad; + debug_str = PyUnicode_FromStringAndSize("__debug__", 9); + if (!debug_str) goto bad; + debug = PyObject_GetItem(builtins, debug_str); + Py_DECREF(debug_str); + if (!debug) goto bad; + flag = PyObject_IsTrue(debug); + Py_DECREF(debug); + if (flag == -1) goto bad; + __pyx_assertions_enabled_flag = flag; + return 0; + bad: + __pyx_assertions_enabled_flag = 1; + return -1; + } +#else + #define __Pyx_init_assertions_enabled() (0) + #define __pyx_assertions_enabled() (!Py_OptimizeFlag) +#endif + +/* PyAssertionError_Check.proto */ +#define __Pyx_PyExc_AssertionError_Check(obj) __Pyx_TypeCheck(obj, PyExc_AssertionError) + +/* RaiseTooManyValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); + +/* RaiseNeedMoreValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); + +/* RaiseNoneIterError.proto */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); + +/* ExtTypeTest.proto */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); + +/* GetTopmostException.proto (used by SaveResetException) */ +#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE +static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); +#endif + +/* SaveResetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +#else +#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) +#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) +#endif + +/* GetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* SwapException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* HasAttr.proto (used by ImportImpl) */ +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 +#define __Pyx_HasAttr(o, n) PyObject_HasAttrWithError(o, n) +#else +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); +#endif + +/* ImportImpl.export */ +static PyObject *__Pyx__Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, PyObject *moddict, int level); + +/* Import.proto */ +static CYTHON_INLINE PyObject *__Pyx_Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, int level); + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); +#else +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2) { + return PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2); +} +#endif +#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) +#ifdef PyExceptionInstance_Check + #define __Pyx_PyBaseException_Check(obj) PyExceptionInstance_Check(obj) +#else + #define __Pyx_PyBaseException_Check(obj) __Pyx_TypeCheck(obj, PyExc_BaseException) +#endif + +CYTHON_UNUSED static int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +/* ListCompAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len)) { + Py_INCREF(x); + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 + L->ob_item[len] = x; + #else + PyList_SET_ITEM(list, len, x); + #endif + __Pyx_SET_SIZE(list, len + 1); + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) +#endif + +/* PySequenceMultiply.proto */ +#define __Pyx_PySequence_Multiply_Left(mul, seq) __Pyx_PySequence_Multiply(seq, mul) +#if !CYTHON_USE_TYPE_SLOTS +#define __Pyx_PySequence_Multiply PySequence_Repeat +#else +static CYTHON_INLINE PyObject* __Pyx_PySequence_Multiply(PyObject *seq, Py_ssize_t mul); +#endif + +/* PyObjectFormatAndDecref.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f); +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f); + +/* PyObjectFormat.proto */ +#if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* s, PyObject* f); +#else +#define __Pyx_PyObject_Format(s, f) PyObject_Format(s, f) +#endif + +/* SetItemInt.proto */ +#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck, unsafe_shared) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ + __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, + int is_list, int wraparound, int boundscheck, int unsafe_shared); + +/* RaiseUnboundLocalError.proto */ +static void __Pyx_RaiseUnboundLocalError(const char *varname); + +/* PyIndexError_Check.proto */ +#define __Pyx_PyExc_IndexError_Check(obj) __Pyx_TypeCheck(obj, PyExc_IndexError) + +/* DivInt[long].proto */ +static CYTHON_INLINE long __Pyx_div_long(long, long, int b_is_constant); + +/* ReleaseUnknownGil.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 +typedef struct { + PyThreadState* ts; + PyGILState_STATE gil_state; +} __Pyx_UnknownThreadState; +#else +#define __Pyx_UnknownThreadState PyThreadState* +#endif +static __Pyx_UnknownThreadState __Pyx_SaveUnknownThread(void); +static void __Pyx_RestoreUnknownThread(__Pyx_UnknownThreadState state); +static CYTHON_INLINE int __Pyx_UnknownThreadStateDefinitelyHadGil(__Pyx_UnknownThreadState state); +static CYTHON_INLINE int __Pyx_UnknownThreadStateMayHaveHadGil(__Pyx_UnknownThreadState state); + +/* ErrOccurredWithGIL.proto */ +static CYTHON_INLINE int __Pyx_ErrOccurredWithGIL(void); + +/* SharedInFreeThreading.proto */ +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +#define __Pyx_shared_in_cpython_freethreading(x) shared(x) +#else +#define __Pyx_shared_in_cpython_freethreading(x) +#endif + +/* AllocateExtensionType.proto */ +static PyObject *__Pyx_AllocateExtensionType(PyTypeObject *t, int is_final); + +/* CallTypeTraverse.proto */ +#if !CYTHON_USE_TYPE_SPECS || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x03090000) +#define __Pyx_call_type_traverse(o, always_call, visit, arg) 0 +#else +static int __Pyx_call_type_traverse(PyObject *o, int always_call, visitproc visit, void *arg); +#endif + +/* LimitedApiGetTypeDict.proto (used by SetItemOnTypeDict) */ +#if CYTHON_COMPILING_IN_LIMITED_API +static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp); +#endif + +/* SetItemOnTypeDict.proto (used by FixUpExtensionType) */ +static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v); +#define __Pyx_SetItemOnTypeDict(tp, k, v) __Pyx__SetItemOnTypeDict((PyTypeObject*)tp, k, v) + +/* FixUpExtensionType.proto */ +static CYTHON_INLINE int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type); + +/* PyObjectCallNoArg.proto (used by PyObjectCallMethod0) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); + +/* PyObjectGetMethod.proto (used by PyObjectCallMethod0) */ +#if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); +#endif + +/* PyObjectCallMethod0.proto (used by PyType_Ready) */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); + +/* ValidateBasesTuple.proto (used by PyType_Ready) */ +#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS +static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases); +#endif + +/* PyType_Ready.proto */ +CYTHON_UNUSED static int __Pyx_PyType_Ready(PyTypeObject *t); + +/* SetVTable.proto */ +static int __Pyx_SetVtable(PyTypeObject* typeptr , void* vtable); + +/* GetVTable.proto (used by MergeVTables) */ +static void* __Pyx_GetVtable(PyTypeObject *type); + +/* MergeVTables.proto */ +static int __Pyx_MergeVtables(PyTypeObject *type); + +/* DelItemOnTypeDict.proto (used by SetupReduce) */ +static int __Pyx__DelItemOnTypeDict(PyTypeObject *tp, PyObject *k); +#define __Pyx_DelItemOnTypeDict(tp, k) __Pyx__DelItemOnTypeDict((PyTypeObject*)tp, k) + +/* SetupReduce.proto */ +static int __Pyx_setup_reduce(PyObject* type_obj); + +/* dict_setdefault.proto (used by FetchCommonType) */ +static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value); + +/* AddModuleRef.proto (used by FetchSharedCythonModule) */ +#if ((CYTHON_COMPILING_IN_CPYTHON_FREETHREADING ) ||\ + __PYX_LIMITED_VERSION_HEX < 0x030d0000) + static PyObject *__Pyx_PyImport_AddModuleRef(const char *name); +#else + #define __Pyx_PyImport_AddModuleRef(name) PyImport_AddModuleRef(name) +#endif + +/* FetchSharedCythonModule.proto (used by FetchCommonType) */ +static PyObject *__Pyx_FetchSharedCythonABIModule(void); + +/* FetchCommonType.proto (used by CommonTypesMetaclass) */ +static PyTypeObject* __Pyx_FetchCommonTypeFromSpec(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases); + +/* CommonTypesMetaclass.proto (used by CythonFunctionShared) */ +static int __pyx_CommonTypesMetaclass_init(PyObject *module); +#define __Pyx_CommonTypesMetaclass_USED + +/* PyMethodNew.proto (used by CythonFunctionShared) */ +static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ); + +/* PyVectorcallFastCallDict.proto (used by CythonFunctionShared) */ +#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL +static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw); +#endif + +/* CythonFunctionShared.proto (used by CythonFunction) */ +#define __Pyx_CyFunction_USED +#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 +#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 +#define __Pyx_CYFUNCTION_CCLASS 0x04 +#define __Pyx_CYFUNCTION_COROUTINE 0x08 +#define __Pyx_CyFunction_GetClosure(f)\ + (((__pyx_CyFunctionObject *) (f))->func_closure) +#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API + #define __Pyx_CyFunction_GetClassObj(f)\ + (((__pyx_CyFunctionObject *) (f))->func_classobj) +#else + #define __Pyx_CyFunction_GetClassObj(f)\ + ((PyObject*) ((PyCMethodObject *) (f))->mm_class) +#endif +#define __Pyx_CyFunction_SetClassObj(f, classobj)\ + __Pyx__CyFunction_SetClassObj((__pyx_CyFunctionObject *) (f), (classobj)) +#define __Pyx_CyFunction_Defaults(type, f)\ + ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) +#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ + ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) +typedef struct { +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject_HEAD + PyObject *func; +#elif PY_VERSION_HEX < 0x030900B1 + PyCFunctionObject func; +#else + PyCMethodObject func; +#endif +#if CYTHON_COMPILING_IN_LIMITED_API && CYTHON_METH_FASTCALL + __pyx_vectorcallfunc func_vectorcall; +#endif +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *func_weakreflist; +#endif +#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API + PyObject *func_dict; +#endif + PyObject *func_name; + PyObject *func_qualname; + PyObject *func_doc; + PyObject *func_globals; + PyObject *func_code; + PyObject *func_closure; +#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API + PyObject *func_classobj; +#endif + PyObject *defaults; + int flags; + PyObject *defaults_tuple; + PyObject *defaults_kwdict; + PyObject *(*defaults_getter)(PyObject *); + PyObject *func_annotations; + PyObject *func_is_coroutine; +} __pyx_CyFunctionObject; +#undef __Pyx_CyOrPyCFunction_Check +#define __Pyx_CyFunction_Check(obj) __Pyx_TypeCheck(obj, __pyx_mstate_global->__pyx_CyFunctionType) +#define __Pyx_CyOrPyCFunction_Check(obj) __Pyx_TypeCheck2(obj, __pyx_mstate_global->__pyx_CyFunctionType, &PyCFunction_Type) +#define __Pyx_CyFunction_CheckExact(obj) __Pyx_IS_TYPE(obj, __pyx_mstate_global->__pyx_CyFunctionType) +static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)); +#undef __Pyx_IsSameCFunction +#define __Pyx_IsSameCFunction(func, cfunc) __Pyx__IsSameCyOrCFunction(func, cfunc) +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *closure, + PyObject *module, PyObject *globals, + PyObject* code); +static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj); +static CYTHON_INLINE PyObject *__Pyx_CyFunction_InitDefaults(PyObject *func, + PyTypeObject *defaults_type); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, + PyObject *tuple); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, + PyObject *dict); +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, + PyObject *dict); +static int __pyx_CyFunction_init(PyObject *module); +#if CYTHON_METH_FASTCALL +static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); +static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); +static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); +static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); +#if CYTHON_COMPILING_IN_LIMITED_API +#define __Pyx_CyFunction_func_vectorcall(f) (((__pyx_CyFunctionObject*)f)->func_vectorcall) +#else +#define __Pyx_CyFunction_func_vectorcall(f) (((PyCFunctionObject*)f)->vectorcall) +#endif +#endif + +/* CythonFunction.proto */ +static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *closure, + PyObject *module, PyObject *globals, + PyObject* code); + +/* CLineInTraceback.proto (used by AddTraceback) */ +#if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); +#else +#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) +#endif + +/* CodeObjectCache.proto (used by AddTraceback) */ +#if CYTHON_COMPILING_IN_LIMITED_API +typedef PyObject __Pyx_CachedCodeObjectType; +#else +typedef PyCodeObject __Pyx_CachedCodeObjectType; +#endif +typedef struct { + __Pyx_CachedCodeObjectType* code_object; + int code_line; +} __Pyx_CodeObjectCacheEntry; +struct __Pyx_CodeObjectCache { + int count; + int max_count; + __Pyx_CodeObjectCacheEntry* entries; + #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + __pyx_atomic_int_type accessor_count; + #endif +}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +/* BufferStructDeclare.proto */ +typedef struct { + Py_ssize_t shape, strides, suboffsets; +} __Pyx_Buf_DimInfo; +typedef struct { + size_t refcount; + Py_buffer pybuffer; +} __Pyx_Buffer; +typedef struct { + __Pyx_Buffer *rcbuffer; + char *data; + __Pyx_Buf_DimInfo diminfo[8]; +} __Pyx_LocalBuf_ND; + +/* MemviewRefcount.proto */ +static CYTHON_INLINE int __pyx_add_acquisition_count_locked( + __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); +static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( + __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); +#define __pyx_get_slice_count_pointer(memview) (&memview->acquisition_count) +#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) +#define __PYX_XCLEAR_MEMVIEW(slice, have_gil) __Pyx_XCLEAR_MEMVIEW(slice, have_gil, __LINE__) +static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); +static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *, int, int); + +/* MemviewSliceIsContig.proto */ +static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); + +/* OverlappingSlices.proto */ +static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize); + +/* MemviewSliceInit.proto */ +static int __Pyx_init_memviewslice( + struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference); + +/* SliceMemoryviewSlice.proto */ +static CYTHON_INLINE int __pyx_memoryview_slice_memviewslice( + __Pyx_memviewslice *dst, + Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + int dim, int new_ndim, int *suboffset_dim, + Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step, + int have_start, int have_stop, int have_step, + int is_slice); + +/* IsLittleEndian.proto (used by BufferFormatCheck) */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); + +/* BufferFormatCheck.proto (used by MemviewSliceValidateAndInit) */ +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + const __Pyx_TypeInfo* type); + +/* TypeInfoCompare.proto (used by MemviewSliceValidateAndInit) */ +static int __pyx_typeinfo_cmp(const __Pyx_TypeInfo *a, const __Pyx_TypeInfo *b); + +/* MemviewSliceValidateAndInit.export */ +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + const __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); + +/* MemviewSliceCopy.proto */ +static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object); + +/* PyObjectVectorCallKwBuilder.proto (used by CIntToPy) */ +CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); +#if CYTHON_VECTORCALL +#if PY_VERSION_HEX >= 0x03090000 +#define __Pyx_Object_Vectorcall_CallFromBuilder PyObject_Vectorcall +#else +#define __Pyx_Object_Vectorcall_CallFromBuilder _PyObject_Vectorcall +#endif +#define __Pyx_MakeVectorcallBuilderKwds(n) PyTuple_New(n) +static int __Pyx_VectorcallBuilder_AddArg(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); +static int __Pyx_VectorcallBuilder_AddArgStr(const char *key, PyObject *value, PyObject *builder, PyObject **args, int n); +#else +#define __Pyx_Object_Vectorcall_CallFromBuilder __Pyx_PyObject_FastCallDict +#define __Pyx_MakeVectorcallBuilderKwds(n) __Pyx_PyDict_NewPresized(n) +#define __Pyx_VectorcallBuilder_AddArg(key, value, builder, args, n) PyDict_SetItem(builder, key, value) +#define __Pyx_VectorcallBuilder_AddArgStr(key, value, builder, args, n) PyDict_SetItemString(builder, key, value) +#endif + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_int(int value); + +/* CIntFromPy.proto */ +static CYTHON_INLINE int __Pyx_PyLong_As_int(PyObject *); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value); + +/* PyObjectCall2Args.proto (used by PyObjectCallMethod1) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + +/* PyObjectCallMethod1.proto (used by UpdateUnpickledDict) */ +static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); + +/* UpdateUnpickledDict.proto */ +static int __Pyx_UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index); + +/* CheckUnpickleChecksum.proto */ +static CYTHON_INLINE int __Pyx_CheckUnpickleChecksum(long checksum, long checksum1, long checksum2, long checksum3, const char *members); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyLong_As_char(PyObject *); + +/* FormatTypeName.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API +typedef PyObject *__Pyx_TypeName; +#define __Pyx_FMT_TYPENAME "%U" +#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 +#define __Pyx_PyType_GetFullyQualifiedName PyType_GetFullyQualifiedName +#else +static __Pyx_TypeName __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp); +#endif +#else // !LIMITED_API +typedef const char *__Pyx_TypeName; +#define __Pyx_FMT_TYPENAME "%.200s" +#define __Pyx_PyType_GetFullyQualifiedName(tp) ((tp)->tp_name) +#define __Pyx_DECREF_TypeName(obj) +#endif + +/* GetRuntimeVersion.proto */ +#if __PYX_LIMITED_VERSION_HEX < 0x030b0000 +static unsigned long __Pyx_cached_runtime_version = 0; +static void __Pyx_init_runtime_version(void); +#else +#define __Pyx_init_runtime_version() +#endif +static unsigned long __Pyx_get_runtime_version(void); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); + +/* DecompressString.proto */ +static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo); + +/* MultiPhaseInitModuleState.proto */ +#if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE +static PyObject *__Pyx_State_FindModule(void*); +static int __Pyx_State_AddModule(PyObject* module, void*); +static int __Pyx_State_RemoveModule(void*); +#elif CYTHON_USE_MODULE_STATE +#define __Pyx_State_FindModule PyState_FindModule +#define __Pyx_State_AddModule PyState_AddModule +#define __Pyx_State_RemoveModule PyState_RemoveModule +#endif + +/* #### Code section: module_declarations ### */ +/* CythonABIVersion.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API + #if CYTHON_METH_FASTCALL + #define __PYX_FASTCALL_ABI_SUFFIX "_fastcall" + #else + #define __PYX_FASTCALL_ABI_SUFFIX + #endif + #define __PYX_LIMITED_ABI_SUFFIX "limited" __PYX_FASTCALL_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX +#else + #define __PYX_LIMITED_ABI_SUFFIX +#endif +#if __PYX_HAS_PY_AM_SEND == 1 + #define __PYX_AM_SEND_ABI_SUFFIX +#elif __PYX_HAS_PY_AM_SEND == 2 + #define __PYX_AM_SEND_ABI_SUFFIX "amsendbackport" +#else + #define __PYX_AM_SEND_ABI_SUFFIX "noamsend" +#endif +#ifndef __PYX_MONITORING_ABI_SUFFIX + #define __PYX_MONITORING_ABI_SUFFIX +#endif +#if CYTHON_USE_TP_FINALIZE + #define __PYX_TP_FINALIZE_ABI_SUFFIX +#else + #define __PYX_TP_FINALIZE_ABI_SUFFIX "nofinalize" +#endif +#if CYTHON_USE_FREELISTS || !defined(__Pyx_AsyncGen_USED) + #define __PYX_FREELISTS_ABI_SUFFIX +#else + #define __PYX_FREELISTS_ABI_SUFFIX "nofreelists" +#endif +#define CYTHON_ABI __PYX_ABI_VERSION __PYX_LIMITED_ABI_SUFFIX __PYX_MONITORING_ABI_SUFFIX __PYX_TP_FINALIZE_ABI_SUFFIX __PYX_FREELISTS_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX +#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI +#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview__get_base(struct __pyx_memoryview_obj *__pyx_v_self); /* proto*/ +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryviewslice__get_base(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto*/ + +/* Module declarations from "cython.view" */ + +/* Module declarations from "cython.dataclasses" */ + +/* Module declarations from "cython" */ + +/* Module declarations from "core" */ +static PyObject *__pyx_collections_abc_Sequence = 0; +static PyObject *generic = 0; +static PyObject *strided = 0; +static PyObject *indirect = 0; +static PyObject *contiguous = 0; +static PyObject *indirect_contiguous = 0; +static int __pyx_memoryview_thread_locks_used; +static PyThread_type_lock __pyx_memoryview_thread_locks[8]; +static void __pyx_f_4core_maximum_path_each(__Pyx_memviewslice, __Pyx_memviewslice, int, int, struct __pyx_opt_args_4core_maximum_path_each *__pyx_optional_args); /*proto*/ +static void __pyx_f_4core_maximum_path_c(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch); /*proto*/ +static int __pyx_array_allocate_buffer(struct __pyx_array_obj *); /*proto*/ +static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char const *, char *); /*proto*/ +static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo const *); /*proto*/ +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ +static PyObject *_unellipsify(PyObject *, int); /*proto*/ +static int assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ +static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ +static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ +static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ +static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ +static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memoryview_err_dim(PyObject *, PyObject *, int); /*proto*/ +static int __pyx_memoryview_err(PyObject *, PyObject *); /*proto*/ +static int __pyx_memoryview_err_no_memory(void); /*proto*/ +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ +static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ +/* #### Code section: typeinfo ### */ +static const __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, __PYX_IS_UNSIGNED(int) ? 'U' : 'I', __PYX_IS_UNSIGNED(int), 0 }; +static const __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; +/* #### Code section: before_global_var ### */ +#define __Pyx_MODULE_NAME "core" +extern int __pyx_module_is_main_core; +int __pyx_module_is_main_core = 0; + +/* Implementation of "core" */ +/* #### Code section: global_var ### */ +static PyObject *__pyx_builtin___import__; +static PyObject *__pyx_builtin_enumerate; +static PyObject *__pyx_builtin_Ellipsis; +static PyObject *__pyx_builtin_id; +/* #### Code section: string_decls ### */ +static const char __pyx_k_c[] = "c"; +static const char __pyx_k_name[] = "name"; +static const char __pyx_k_fortran[] = "fortran"; +/* #### Code section: decls ### */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_pf_4core_maximum_path_c(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_paths, __Pyx_memviewslice __pyx_v_values, __Pyx_memviewslice __pyx_v_t_ys, __Pyx_memviewslice __pyx_v_t_xs); /* proto */ +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +/* #### Code section: late_includes ### */ +/* #### Code section: module_state ### */ +/* SmallCodeConfig */ +#ifndef CYTHON_SMALL_CODE +#if defined(__clang__) + #define CYTHON_SMALL_CODE +#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3)) + #define CYTHON_SMALL_CODE __attribute__((cold)) +#else + #define CYTHON_SMALL_CODE +#endif +#endif + +typedef struct { + PyObject *__pyx_d; + PyObject *__pyx_b; + PyObject *__pyx_cython_runtime; + PyObject *__pyx_empty_tuple; + PyObject *__pyx_empty_bytes; + PyObject *__pyx_empty_unicode; + PyObject *__pyx_type___pyx_array; + PyObject *__pyx_type___pyx_MemviewEnum; + PyObject *__pyx_type___pyx_memoryview; + PyObject *__pyx_type___pyx_memoryviewslice; + PyTypeObject *__pyx_array_type; + PyTypeObject *__pyx_MemviewEnum_type; + PyTypeObject *__pyx_memoryview_type; + PyTypeObject *__pyx_memoryviewslice_type; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_items; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_pop; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_values; + float __pyx_k__6; + PyObject *__pyx_slice[1]; + PyObject *__pyx_tuple[1]; + PyObject *__pyx_codeobj_tab[1]; + PyObject *__pyx_string_tab[115]; + PyObject *__pyx_number_tab[4]; +/* #### Code section: module_state_contents ### */ +/* CommonTypesMetaclass.module_state_decls */ +PyTypeObject *__pyx_CommonTypesMetaclassType; + +/* CachedMethodType.module_state_decls */ +#if CYTHON_COMPILING_IN_LIMITED_API +PyObject *__Pyx_CachedMethodType; +#endif + +/* CythonFunctionShared.module_state_decls */ +PyTypeObject *__pyx_CyFunctionType; + +/* CodeObjectCache.module_state_decls */ +struct __Pyx_CodeObjectCache __pyx_code_cache; + +/* #### Code section: module_state_end ### */ +} __pyx_mstatetype; + +#if CYTHON_USE_MODULE_STATE +#ifdef __cplusplus +namespace { +extern struct PyModuleDef __pyx_moduledef; +} /* anonymous namespace */ +#else +static struct PyModuleDef __pyx_moduledef; +#endif + +#define __pyx_mstate_global (__Pyx_PyModule_GetState(__Pyx_State_FindModule(&__pyx_moduledef))) + +#define __pyx_m (__Pyx_State_FindModule(&__pyx_moduledef)) +#else +static __pyx_mstatetype __pyx_mstate_global_static = +#ifdef __cplusplus + {}; +#else + {0}; +#endif +static __pyx_mstatetype * const __pyx_mstate_global = &__pyx_mstate_global_static; +#endif +/* #### Code section: constant_name_defines ### */ +#define __pyx_kp_u_ __pyx_string_tab[0] +#define __pyx_kp_u_Buffer_view_does_not_expose_stri __pyx_string_tab[1] +#define __pyx_kp_u_Can_only_create_a_buffer_that_is __pyx_string_tab[2] +#define __pyx_kp_u_Cannot_assign_to_read_only_memor __pyx_string_tab[3] +#define __pyx_kp_u_Cannot_create_writable_memory_vi __pyx_string_tab[4] +#define __pyx_kp_u_Cannot_index_with_type __pyx_string_tab[5] +#define __pyx_kp_u_Cannot_transpose_memoryview_with __pyx_string_tab[6] +#define __pyx_kp_u_Dimension_d_is_not_direct __pyx_string_tab[7] +#define __pyx_kp_u_Empty_shape_tuple_for_cython_arr __pyx_string_tab[8] +#define __pyx_kp_u_Indirect_dimensions_not_supporte __pyx_string_tab[9] +#define __pyx_kp_u_Invalid_mode_expected_c_or_fortr __pyx_string_tab[10] +#define __pyx_kp_u_Invalid_shape_in_axis __pyx_string_tab[11] +#define __pyx_kp_u_MemoryView_of __pyx_string_tab[12] +#define __pyx_kp_u_Note_that_Cython_is_deliberately __pyx_string_tab[13] +#define __pyx_kp_u_Out_of_bounds_on_buffer_access_a __pyx_string_tab[14] +#define __pyx_kp_u_Unable_to_convert_item_to_object __pyx_string_tab[15] +#define __pyx_kp_u__2 __pyx_string_tab[16] +#define __pyx_kp_u__3 __pyx_string_tab[17] +#define __pyx_kp_u__4 __pyx_string_tab[18] +#define __pyx_kp_u__5 __pyx_string_tab[19] +#define __pyx_kp_u__7 __pyx_string_tab[20] +#define __pyx_kp_u_add_note __pyx_string_tab[21] +#define __pyx_kp_u_and __pyx_string_tab[22] +#define __pyx_kp_u_at_0x __pyx_string_tab[23] +#define __pyx_kp_u_collections_abc __pyx_string_tab[24] +#define __pyx_kp_u_contiguous_and_direct __pyx_string_tab[25] +#define __pyx_kp_u_contiguous_and_indirect __pyx_string_tab[26] +#define __pyx_kp_u_core_pyx __pyx_string_tab[27] +#define __pyx_kp_u_disable __pyx_string_tab[28] +#define __pyx_kp_u_enable __pyx_string_tab[29] +#define __pyx_kp_u_gc __pyx_string_tab[30] +#define __pyx_kp_u_got __pyx_string_tab[31] +#define __pyx_kp_u_got_differing_extents_in_dimensi __pyx_string_tab[32] +#define __pyx_kp_u_isenabled __pyx_string_tab[33] +#define __pyx_kp_u_itemsize_0_for_cython_array __pyx_string_tab[34] +#define __pyx_kp_u_no_default___reduce___due_to_non __pyx_string_tab[35] +#define __pyx_kp_u_object __pyx_string_tab[36] +#define __pyx_kp_u_strided_and_direct __pyx_string_tab[37] +#define __pyx_kp_u_strided_and_direct_or_indirect __pyx_string_tab[38] +#define __pyx_kp_u_strided_and_indirect __pyx_string_tab[39] +#define __pyx_kp_u_unable_to_allocate_array_data __pyx_string_tab[40] +#define __pyx_kp_u_unable_to_allocate_shape_and_str __pyx_string_tab[41] +#define __pyx_n_u_ASCII __pyx_string_tab[42] +#define __pyx_n_u_Ellipsis __pyx_string_tab[43] +#define __pyx_n_u_Pyx_PyDict_NextRef __pyx_string_tab[44] +#define __pyx_n_u_Sequence __pyx_string_tab[45] +#define __pyx_n_u_View_MemoryView __pyx_string_tab[46] +#define __pyx_n_u_abc __pyx_string_tab[47] +#define __pyx_n_u_allocate_buffer __pyx_string_tab[48] +#define __pyx_n_u_asyncio_coroutines __pyx_string_tab[49] +#define __pyx_n_u_base __pyx_string_tab[50] +#define __pyx_n_u_c __pyx_string_tab[51] +#define __pyx_n_u_class __pyx_string_tab[52] +#define __pyx_n_u_class_getitem __pyx_string_tab[53] +#define __pyx_n_u_cline_in_traceback __pyx_string_tab[54] +#define __pyx_n_u_core __pyx_string_tab[55] +#define __pyx_n_u_count __pyx_string_tab[56] +#define __pyx_n_u_dict __pyx_string_tab[57] +#define __pyx_n_u_dtype_is_object __pyx_string_tab[58] +#define __pyx_n_u_encode __pyx_string_tab[59] +#define __pyx_n_u_enumerate __pyx_string_tab[60] +#define __pyx_n_u_error __pyx_string_tab[61] +#define __pyx_n_u_flags __pyx_string_tab[62] +#define __pyx_n_u_format __pyx_string_tab[63] +#define __pyx_n_u_fortran __pyx_string_tab[64] +#define __pyx_n_u_func __pyx_string_tab[65] +#define __pyx_n_u_getstate __pyx_string_tab[66] +#define __pyx_n_u_id __pyx_string_tab[67] +#define __pyx_n_u_import __pyx_string_tab[68] +#define __pyx_n_u_index __pyx_string_tab[69] +#define __pyx_n_u_is_coroutine __pyx_string_tab[70] +#define __pyx_n_u_items __pyx_string_tab[71] +#define __pyx_n_u_itemsize __pyx_string_tab[72] +#define __pyx_n_u_main __pyx_string_tab[73] +#define __pyx_n_u_maximum_path_c __pyx_string_tab[74] +#define __pyx_n_u_memview __pyx_string_tab[75] +#define __pyx_n_u_mode __pyx_string_tab[76] +#define __pyx_n_u_module __pyx_string_tab[77] +#define __pyx_n_u_name __pyx_string_tab[78] +#define __pyx_n_u_name_2 __pyx_string_tab[79] +#define __pyx_n_u_ndim __pyx_string_tab[80] +#define __pyx_n_u_new __pyx_string_tab[81] +#define __pyx_n_u_obj __pyx_string_tab[82] +#define __pyx_n_u_pack __pyx_string_tab[83] +#define __pyx_n_u_paths __pyx_string_tab[84] +#define __pyx_n_u_pop __pyx_string_tab[85] +#define __pyx_n_u_pyx_checksum __pyx_string_tab[86] +#define __pyx_n_u_pyx_state __pyx_string_tab[87] +#define __pyx_n_u_pyx_type __pyx_string_tab[88] +#define __pyx_n_u_pyx_unpickle_Enum __pyx_string_tab[89] +#define __pyx_n_u_pyx_vtable __pyx_string_tab[90] +#define __pyx_n_u_qualname __pyx_string_tab[91] +#define __pyx_n_u_reduce __pyx_string_tab[92] +#define __pyx_n_u_reduce_cython __pyx_string_tab[93] +#define __pyx_n_u_reduce_ex __pyx_string_tab[94] +#define __pyx_n_u_register __pyx_string_tab[95] +#define __pyx_n_u_set_name __pyx_string_tab[96] +#define __pyx_n_u_setdefault __pyx_string_tab[97] +#define __pyx_n_u_setstate __pyx_string_tab[98] +#define __pyx_n_u_setstate_cython __pyx_string_tab[99] +#define __pyx_n_u_shape __pyx_string_tab[100] +#define __pyx_n_u_size __pyx_string_tab[101] +#define __pyx_n_u_start __pyx_string_tab[102] +#define __pyx_n_u_step __pyx_string_tab[103] +#define __pyx_n_u_stop __pyx_string_tab[104] +#define __pyx_n_u_struct __pyx_string_tab[105] +#define __pyx_n_u_t_xs __pyx_string_tab[106] +#define __pyx_n_u_t_ys __pyx_string_tab[107] +#define __pyx_n_u_test __pyx_string_tab[108] +#define __pyx_n_u_unpack __pyx_string_tab[109] +#define __pyx_n_u_update __pyx_string_tab[110] +#define __pyx_n_u_values __pyx_string_tab[111] +#define __pyx_n_u_x __pyx_string_tab[112] +#define __pyx_kp_b_iso88591_uF_1_Qe1D_at4q_D __pyx_string_tab[113] +#define __pyx_n_b_O __pyx_string_tab[114] +#define __pyx_int_0 __pyx_number_tab[0] +#define __pyx_int_neg_1 __pyx_number_tab[1] +#define __pyx_int_1 __pyx_number_tab[2] +#define __pyx_int_136983863 __pyx_number_tab[3] +/* #### Code section: module_state_clear ### */ +#if CYTHON_USE_MODULE_STATE +static CYTHON_SMALL_CODE int __pyx_m_clear(PyObject *m) { + __pyx_mstatetype *clear_module_state = __Pyx_PyModule_GetState(m); + if (!clear_module_state) return 0; + Py_CLEAR(clear_module_state->__pyx_d); + Py_CLEAR(clear_module_state->__pyx_b); + Py_CLEAR(clear_module_state->__pyx_cython_runtime); + Py_CLEAR(clear_module_state->__pyx_empty_tuple); + Py_CLEAR(clear_module_state->__pyx_empty_bytes); + Py_CLEAR(clear_module_state->__pyx_empty_unicode); + #if CYTHON_PEP489_MULTI_PHASE_INIT + __Pyx_State_RemoveModule(NULL); + #endif + Py_CLEAR(clear_module_state->__pyx_array_type); + Py_CLEAR(clear_module_state->__pyx_type___pyx_array); + Py_CLEAR(clear_module_state->__pyx_MemviewEnum_type); + Py_CLEAR(clear_module_state->__pyx_type___pyx_MemviewEnum); + Py_CLEAR(clear_module_state->__pyx_memoryview_type); + Py_CLEAR(clear_module_state->__pyx_type___pyx_memoryview); + Py_CLEAR(clear_module_state->__pyx_memoryviewslice_type); + Py_CLEAR(clear_module_state->__pyx_type___pyx_memoryviewslice); + for (int i=0; i<1; ++i) { Py_CLEAR(clear_module_state->__pyx_slice[i]); } + for (int i=0; i<1; ++i) { Py_CLEAR(clear_module_state->__pyx_tuple[i]); } + for (int i=0; i<1; ++i) { Py_CLEAR(clear_module_state->__pyx_codeobj_tab[i]); } + for (int i=0; i<115; ++i) { Py_CLEAR(clear_module_state->__pyx_string_tab[i]); } + for (int i=0; i<4; ++i) { Py_CLEAR(clear_module_state->__pyx_number_tab[i]); } +/* #### Code section: module_state_clear_contents ### */ +/* CommonTypesMetaclass.module_state_clear */ +Py_CLEAR(clear_module_state->__pyx_CommonTypesMetaclassType); + +/* CythonFunctionShared.module_state_clear */ +Py_CLEAR(clear_module_state->__pyx_CyFunctionType); + +/* #### Code section: module_state_clear_end ### */ +return 0; +} +#endif +/* #### Code section: module_state_traverse ### */ +#if CYTHON_USE_MODULE_STATE +static CYTHON_SMALL_CODE int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) { + __pyx_mstatetype *traverse_module_state = __Pyx_PyModule_GetState(m); + if (!traverse_module_state) return 0; + Py_VISIT(traverse_module_state->__pyx_d); + Py_VISIT(traverse_module_state->__pyx_b); + Py_VISIT(traverse_module_state->__pyx_cython_runtime); + __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_tuple); + __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_bytes); + __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_unicode); + Py_VISIT(traverse_module_state->__pyx_array_type); + Py_VISIT(traverse_module_state->__pyx_type___pyx_array); + Py_VISIT(traverse_module_state->__pyx_MemviewEnum_type); + Py_VISIT(traverse_module_state->__pyx_type___pyx_MemviewEnum); + Py_VISIT(traverse_module_state->__pyx_memoryview_type); + Py_VISIT(traverse_module_state->__pyx_type___pyx_memoryview); + Py_VISIT(traverse_module_state->__pyx_memoryviewslice_type); + Py_VISIT(traverse_module_state->__pyx_type___pyx_memoryviewslice); + for (int i=0; i<1; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_slice[i]); } + for (int i=0; i<1; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_tuple[i]); } + for (int i=0; i<1; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_codeobj_tab[i]); } + for (int i=0; i<115; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_string_tab[i]); } + for (int i=0; i<4; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_number_tab[i]); } +/* #### Code section: module_state_traverse_contents ### */ +/* CommonTypesMetaclass.module_state_traverse */ +Py_VISIT(traverse_module_state->__pyx_CommonTypesMetaclassType); + +/* CythonFunctionShared.module_state_traverse */ +Py_VISIT(traverse_module_state->__pyx_CyFunctionType); + +/* #### Code section: module_state_traverse_end ### */ +return 0; +} +#endif +/* #### Code section: module_code ### */ + +/* "View.MemoryView":137 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * +*/ + +/* Python wrapper */ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_shape = 0; + Py_ssize_t __pyx_v_itemsize; + PyObject *__pyx_v_format = 0; + PyObject *__pyx_v_mode = 0; + int __pyx_v_allocate_buffer; + CYTHON_UNUSED Py_ssize_t __pyx_nargs; + CYTHON_UNUSED PyObject *const *__pyx_kwvalues; + PyObject* values[5] = {0,0,0,0,0}; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); + #if CYTHON_ASSUME_SAFE_SIZE + __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); + #else + __pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return -1; + #endif + __pyx_kwvalues = __Pyx_KwValues_VARARGS(__pyx_args, __pyx_nargs); + { + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_shape,&__pyx_mstate_global->__pyx_n_u_itemsize,&__pyx_mstate_global->__pyx_n_u_format,&__pyx_mstate_global->__pyx_n_u_mode,&__pyx_mstate_global->__pyx_n_u_allocate_buffer,0}; + const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_VARARGS(__pyx_kwds) : 0; + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(1, 137, __pyx_L3_error) + if (__pyx_kwds_len > 0) { + switch (__pyx_nargs) { + case 5: + 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+ __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1015 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) noexcept nogil: # <<<<<<<<<<<<<< + * return -arg if arg < 0 else arg + * +*/ + +static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + + /* "View.MemoryView":1016 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) noexcept nogil: + * return -arg if arg < 0 else arg # <<<<<<<<<<<<<< + * + * @cname('__pyx_get_best_slice_order') +*/ + __pyx_t_2 = (__pyx_v_arg < 0); + if (__pyx_t_2) { + __pyx_t_1 = (-__pyx_v_arg); + } else { + __pyx_t_1 = __pyx_v_arg; + } + __pyx_r = __pyx_t_1; + goto __pyx_L0; + + /* "View.MemoryView":1015 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) noexcept nogil: # <<<<<<<<<<<<<< + * return -arg if arg < 0 else arg + * +*/ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1018 + * return -arg if arg < 0 else arg + * + * @cname('__pyx_get_best_slice_order') # <<<<<<<<<<<<<< + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) noexcept nogil: + * """ +*/ + +static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { + int __pyx_v_i; + Py_ssize_t __pyx_v_c_stride; + Py_ssize_t __pyx_v_f_stride; + char __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1024 + * """ + * cdef int i + * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< + * cdef Py_ssize_t f_stride = 0 + * +*/ + __pyx_v_c_stride = 0; + + /* "View.MemoryView":1025 + * cdef int i + * cdef Py_ssize_t c_stride = 0 + * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): +*/ + __pyx_v_f_stride = 0; + + /* "View.MemoryView":1027 + * cdef Py_ssize_t f_stride = 0 + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] +*/ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1028 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break +*/ + __pyx_t_2 = ((__pyx_v_mslice->shape[__pyx_v_i]) > 1); + if (__pyx_t_2) { + + /* "View.MemoryView":1029 + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * +*/ + __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1030 + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * for i in range(ndim): +*/ + goto __pyx_L4_break; + + /* "View.MemoryView":1028 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break +*/ + } + } + __pyx_L4_break:; + + /* "View.MemoryView":1032 + * break + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] +*/ + __pyx_t_1 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_1; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1033 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break +*/ + __pyx_t_2 = ((__pyx_v_mslice->shape[__pyx_v_i]) > 1); + if (__pyx_t_2) { + + /* "View.MemoryView":1034 + * for i in range(ndim): + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * +*/ + __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1035 + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): +*/ + goto __pyx_L7_break; + + /* "View.MemoryView":1033 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break +*/ + } + } + __pyx_L7_break:; + + /* "View.MemoryView":1037 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: +*/ + __pyx_t_2 = (abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)); + if (__pyx_t_2) { + + /* "View.MemoryView":1038 + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + * return 'C' # <<<<<<<<<<<<<< + * else: + * return 'F' +*/ + __pyx_r = 'C'; + goto __pyx_L0; + + /* "View.MemoryView":1037 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: +*/ + } + + /* "View.MemoryView":1040 + * return 'C' + * else: + * return 'F' # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) +*/ + /*else*/ { + __pyx_r = 'F'; + goto __pyx_L0; + } + + /* "View.MemoryView":1018 + * return -arg if arg < 0 else arg + * + * @cname('__pyx_get_best_slice_order') # <<<<<<<<<<<<<< + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) noexcept nogil: + * """ +*/ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1042 + * return 'F' + * + * @cython.cdivision(True) # <<<<<<<<<<<<<< + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, + * char *dst_data, Py_ssize_t *dst_strides, +*/ + +static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; + Py_ssize_t __pyx_v_dst_extent; + Py_ssize_t __pyx_v_src_stride; + Py_ssize_t __pyx_v_dst_stride; + int __pyx_t_1; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + + /* "View.MemoryView":1050 + * + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] +*/ + __pyx_v_src_extent = (__pyx_v_src_shape[0]); + + /* "View.MemoryView":1051 + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] +*/ + __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); + + /* "View.MemoryView":1052 + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_stride = dst_strides[0] + * +*/ + __pyx_v_src_stride = (__pyx_v_src_strides[0]); + + /* "View.MemoryView":1053 + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: +*/ + __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); + + /* "View.MemoryView":1055 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): +*/ + __pyx_t_1 = (__pyx_v_ndim == 1); + if (__pyx_t_1) { + + /* "View.MemoryView":1056 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) +*/ + __pyx_t_2 = (__pyx_v_src_stride > 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + __pyx_t_2 = (__pyx_v_dst_stride > 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + + /* "View.MemoryView":1057 + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: +*/ + __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); + if (__pyx_t_2) { + __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); + } + __pyx_t_1 = __pyx_t_2; + __pyx_L5_bool_binop_done:; + + /* "View.MemoryView":1056 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) +*/ + if (__pyx_t_1) { + + /* "View.MemoryView":1058 + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): +*/ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); + + /* "View.MemoryView":1056 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) +*/ + goto __pyx_L4; + } + + /* "View.MemoryView":1060 + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride +*/ + /*else*/ { + __pyx_t_3 = __pyx_v_dst_extent; + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":1061 + * else: + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< + * src_data += src_stride + * dst_data += dst_stride +*/ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); + + /* "View.MemoryView":1062 + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * else: +*/ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1063 + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): +*/ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L4:; + + /* "View.MemoryView":1055 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): +*/ + goto __pyx_L3; + } + + /* "View.MemoryView":1065 + * dst_data += dst_stride + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * _copy_strided_to_strided(src_data, src_strides + 1, + * dst_data, dst_strides + 1, +*/ + /*else*/ { + __pyx_t_3 = __pyx_v_dst_extent; + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":1066 + * else: + * for i in range(dst_extent): + * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< + * dst_data, dst_strides + 1, + * src_shape + 1, dst_shape + 1, +*/ + _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); + + /* "View.MemoryView":1070 + * src_shape + 1, dst_shape + 1, + * ndim - 1, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * +*/ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1071 + * ndim - 1, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, +*/ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1042 + * return 'F' + * + * @cython.cdivision(True) # <<<<<<<<<<<<<< + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, + * char *dst_data, Py_ssize_t *dst_strides, +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1073 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) noexcept nogil: +*/ + +static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + + /* "View.MemoryView":1076 + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) noexcept nogil: + * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< + * src.shape, dst.shape, ndim, itemsize) + * +*/ + _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1073 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) noexcept nogil: +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1079 + * src.shape, dst.shape, ndim, itemsize) + * + * @cname('__pyx_memoryview_slice_get_size') # <<<<<<<<<<<<<< + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: + * "Return the size of the memory occupied by the slice in number of bytes" +*/ + +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_size; + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + + /* "View.MemoryView":1082 + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< + * + * for shape in src.shape[:ndim]: +*/ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_size = __pyx_t_1; + + /* "View.MemoryView":1084 + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + * + * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< + * size *= shape + * +*/ + __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); + for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_shape = (__pyx_t_2[0]); + + /* "View.MemoryView":1085 + * + * for shape in src.shape[:ndim]: + * size *= shape # <<<<<<<<<<<<<< + * + * return size +*/ + __pyx_v_size = (__pyx_v_size * __pyx_v_shape); + } + + /* "View.MemoryView":1087 + * size *= shape + * + * return size # <<<<<<<<<<<<<< + * + * @cname('__pyx_fill_contig_strides_array') +*/ + __pyx_r = __pyx_v_size; + goto __pyx_L0; + + /* "View.MemoryView":1079 + * src.shape, dst.shape, ndim, itemsize) + * + * @cname('__pyx_memoryview_slice_get_size') # <<<<<<<<<<<<<< + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: + * "Return the size of the memory occupied by the slice in number of bytes" +*/ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1089 + * return size + * + * @cname('__pyx_fill_contig_strides_array') # <<<<<<<<<<<<<< + * cdef Py_ssize_t fill_contig_strides_array( + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, +*/ + +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { + int __pyx_v_idx; + Py_ssize_t __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1099 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride +*/ + __pyx_t_1 = (__pyx_v_order == 'F'); + if (__pyx_t_1) { + + /* "View.MemoryView":1100 + * + * if order == 'F': + * for idx in range(ndim): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] +*/ + __pyx_t_2 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_idx = __pyx_t_4; + + /* "View.MemoryView":1101 + * if order == 'F': + * for idx in range(ndim): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * else: +*/ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1102 + * for idx in range(ndim): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * else: + * for idx in range(ndim - 1, -1, -1): +*/ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + + /* "View.MemoryView":1099 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride +*/ + goto __pyx_L3; + } + + /* "View.MemoryView":1104 + * stride *= shape[idx] + * else: + * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] +*/ + /*else*/ { + for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { + __pyx_v_idx = __pyx_t_2; + + /* "View.MemoryView":1105 + * else: + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * +*/ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; 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+ int __pyx_v_ndim; + int __pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + void *__pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyGILState_STATE __pyx_gilstate_save; + + /* "View.MemoryView":1179 + * Check for overlapping memory and verify the shapes. + * """ + * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i +*/ + __pyx_v_tmpdata = NULL; + + /* "View.MemoryView":1180 + * """ + * cdef void *tmpdata = NULL + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) +*/ + __pyx_t_1 = __pyx_v_src.memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1182 + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< + * cdef bint broadcasting = False + * cdef bint direct_copy = False +*/ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); + + /* "View.MemoryView":1183 + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False # <<<<<<<<<<<<<< + * cdef bint direct_copy = False + * cdef __Pyx_memviewslice tmp +*/ + __pyx_v_broadcasting = 0; + + /* "View.MemoryView":1184 + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False + * cdef bint direct_copy = False # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice tmp + * +*/ + __pyx_v_direct_copy = 0; + + /* "View.MemoryView":1187 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: +*/ + __pyx_t_2 = (__pyx_v_src_ndim < __pyx_v_dst_ndim); + if (__pyx_t_2) { + + /* "View.MemoryView":1188 + * + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) +*/ + __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); + + /* "View.MemoryView":1187 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: +*/ + goto __pyx_L3; + } + + /* "View.MemoryView":1189 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * +*/ + __pyx_t_2 = (__pyx_v_dst_ndim < __pyx_v_src_ndim); + if (__pyx_t_2) { + + /* "View.MemoryView":1190 + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< + * + * cdef int ndim = max(src_ndim, dst_ndim) +*/ + __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); + + /* "View.MemoryView":1189 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * +*/ + } + __pyx_L3:; + + /* "View.MemoryView":1192 + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * + * for i in range(ndim): +*/ + __pyx_t_3 = __pyx_v_dst_ndim; + __pyx_t_4 = __pyx_v_src_ndim; + __pyx_t_2 = (__pyx_t_3 > __pyx_t_4); + if (__pyx_t_2) { + __pyx_t_5 = __pyx_t_3; + } else { + __pyx_t_5 = __pyx_t_4; + } + __pyx_v_ndim = __pyx_t_5; + + /* "View.MemoryView":1194 + * cdef int ndim = max(src_ndim, dst_ndim) + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: +*/ + __pyx_t_5 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_5; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1195 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True +*/ + __pyx_t_2 = ((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])); + if (__pyx_t_2) { + + /* "View.MemoryView":1196 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 +*/ + __pyx_t_2 = ((__pyx_v_src.shape[__pyx_v_i]) == 1); + if (__pyx_t_2) { + + /* "View.MemoryView":1197 + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: + * broadcasting = True # <<<<<<<<<<<<<< + * src.strides[i] = 0 + * else: +*/ + __pyx_v_broadcasting = 1; + + /* "View.MemoryView":1198 + * if src.shape[i] == 1: + * broadcasting = True + * src.strides[i] = 0 # <<<<<<<<<<<<<< + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) +*/ + (__pyx_v_src.strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1196 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 +*/ + goto __pyx_L7; + } + + /* "View.MemoryView":1200 + * src.strides[i] = 0 + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< + * + * if src.suboffsets[i] >= 0: +*/ + /*else*/ { + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1200, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":1195 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True +*/ + } + + /* "View.MemoryView":1202 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) + * +*/ + __pyx_t_2 = ((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1203 + * + * if src.suboffsets[i] >= 0: + * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< + * + * if slices_overlap(&src, &dst, ndim, itemsize): +*/ + __pyx_t_6 = __pyx_memoryview_err_dim(PyExc_ValueError, __pyx_mstate_global->__pyx_kp_u_Dimension_d_is_not_direct, __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1203, __pyx_L1_error) + + /* "View.MemoryView":1202 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) + * +*/ + } + } + + /* "View.MemoryView":1205 + * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): +*/ + __pyx_t_2 = __pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); + if (__pyx_t_2) { + + /* "View.MemoryView":1207 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * +*/ + __pyx_t_2 = (!__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim)); + if (__pyx_t_2) { + + /* "View.MemoryView":1208 + * + * if not slice_is_contig(src, order, ndim): + * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) +*/ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); + + /* "View.MemoryView":1207 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * +*/ + } + + /* "View.MemoryView":1210 + * order = get_best_order(&dst, ndim) + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< + * src = tmp + * +*/ + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1210, __pyx_L1_error) + __pyx_v_tmpdata = __pyx_t_7; + + /* "View.MemoryView":1211 + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + * src = tmp # <<<<<<<<<<<<<< + * + * if not broadcasting: +*/ + __pyx_v_src = __pyx_v_tmp; + + /* "View.MemoryView":1205 + * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): +*/ + } + + /* "View.MemoryView":1213 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * +*/ + __pyx_t_2 = (!__pyx_v_broadcasting); + if (__pyx_t_2) { + + /* "View.MemoryView":1216 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): +*/ + __pyx_t_2 = __pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim); + if (__pyx_t_2) { + + /* "View.MemoryView":1217 + * + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) +*/ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); + + /* "View.MemoryView":1216 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): +*/ + goto __pyx_L12; + } + + /* "View.MemoryView":1218 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * +*/ + __pyx_t_2 = __pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim); + if (__pyx_t_2) { + + /* "View.MemoryView":1219 + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< + * + * if direct_copy: +*/ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); + + /* "View.MemoryView":1218 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * +*/ + } + __pyx_L12:; + + /* "View.MemoryView":1221 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) +*/ + if (__pyx_v_direct_copy) { + + /* "View.MemoryView":1223 + * if direct_copy: + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) +*/ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1224 + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) + * free(tmpdata) +*/ + (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); + + /* "View.MemoryView":1225 + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< + * free(tmpdata) + * return 0 +*/ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1226 + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * +*/ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1227 + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * if order == 'F' == get_best_order(&dst, ndim): +*/ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1221 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) +*/ + } + + /* "View.MemoryView":1213 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * +*/ + } + + /* "View.MemoryView":1229 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * +*/ + __pyx_t_2 = (__pyx_v_order == 'F'); + if (__pyx_t_2) { + __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); + } + if (__pyx_t_2) { + + /* "View.MemoryView":1232 + * + * + * transpose_memslice(&src) # <<<<<<<<<<<<<< + * transpose_memslice(&dst) + * +*/ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(1, 1232, __pyx_L1_error) + + /* "View.MemoryView":1233 + * + * transpose_memslice(&src) + * transpose_memslice(&dst) # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) +*/ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(1, 1233, __pyx_L1_error) + + /* "View.MemoryView":1229 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * +*/ + } + + /* "View.MemoryView":1235 + * transpose_memslice(&dst) + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) +*/ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1236 + * + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) + * +*/ + copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1237 + * refcount_copying(&dst, dtype_is_object, ndim, inc=False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< + * + * free(tmpdata) +*/ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1239 + * refcount_copying(&dst, dtype_is_object, ndim, inc=True) + * + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * +*/ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1240 + * + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_broadcast_leading') +*/ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1170 + * + * + * @cname('__pyx_memoryview_copy_contents') # <<<<<<<<<<<<<< + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, + * __Pyx_memviewslice dst, +*/ + + /* function exit code */ + __pyx_L1_error:; + __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_PyGILState_Release(__pyx_gilstate_save); + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1242 + * return 0 + * + * @cname('__pyx_memoryview_broadcast_leading') # <<<<<<<<<<<<<< + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, + * int ndim, +*/ + +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { + int __pyx_v_i; + int __pyx_v_offset; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1247 + * int ndim_other) noexcept nogil: + * cdef int i + * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): +*/ + __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); + + /* "View.MemoryView":1249 + * cdef int offset = ndim_other - ndim + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] +*/ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1250 + * + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] +*/ + (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); + + /* "View.MemoryView":1251 + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * +*/ + (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1252 + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< + * + * for i in range(offset): +*/ + (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); + } + + /* "View.MemoryView":1254 + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + * for i in range(offset): # <<<<<<<<<<<<<< + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] +*/ + __pyx_t_1 = __pyx_v_offset; + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1255 + * + * for i in range(offset): + * mslice.shape[i] = 1 # <<<<<<<<<<<<<< + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 +*/ + (__pyx_v_mslice->shape[__pyx_v_i]) = 1; + + /* "View.MemoryView":1256 + * for i in range(offset): + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< + * mslice.suboffsets[i] = -1 + * +*/ + (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); + + /* "View.MemoryView":1257 + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * +*/ + (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1242 + * return 0 + * + * @cname('__pyx_memoryview_broadcast_leading') # <<<<<<<<<<<<<< + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, + * int ndim, +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1264 + * + * + * @cname('__pyx_memoryview_refcount_copying') # <<<<<<<<<<<<<< + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: + * +*/ + +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { + + /* "View.MemoryView":1267 + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) + * +*/ + if (__pyx_v_dtype_is_object) { + + /* "View.MemoryView":1268 + * + * if dtype_is_object: + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') +*/ + __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1267 + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) + * +*/ + } + + /* "View.MemoryView":1264 + * + * + * @cname('__pyx_memoryview_refcount_copying') # <<<<<<<<<<<<<< + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: + * +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1270 + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') # <<<<<<<<<<<<<< + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, + * Py_ssize_t *strides, int ndim, +*/ + +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + + /* "View.MemoryView":1274 + * Py_ssize_t *strides, int ndim, + * bint inc) noexcept with gil: + * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') +*/ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1270 + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') # <<<<<<<<<<<<<< + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, + * Py_ssize_t *strides, int ndim, +*/ + + /* function exit code */ + __Pyx_PyGILState_Release(__pyx_gilstate_save); +} + +/* "View.MemoryView":1276 + * refcount_objects_in_slice(data, shape, strides, ndim, inc) + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') # <<<<<<<<<<<<<< + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, + * Py_ssize_t *strides, int ndim, bint inc) noexcept: +*/ + +static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1280 + * Py_ssize_t *strides, int ndim, bint inc) noexcept: + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< + * + * for i in range(shape[0]): +*/ + __pyx_v_stride = (__pyx_v_strides[0]); + + /* "View.MemoryView":1282 + * cdef Py_ssize_t stride = strides[0] + * + * for i in range(shape[0]): # <<<<<<<<<<<<<< + * if ndim == 1: + * if inc: +*/ + __pyx_t_1 = (__pyx_v_shape[0]); + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1283 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) +*/ + __pyx_t_4 = (__pyx_v_ndim == 1); + if (__pyx_t_4) { + + /* "View.MemoryView":1284 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: +*/ + if (__pyx_v_inc) { + + /* "View.MemoryView":1285 + * if ndim == 1: + * if inc: + * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * Py_DECREF(( data)[0]) +*/ + Py_INCREF((((PyObject **)__pyx_v_data)[0])); + + /* "View.MemoryView":1284 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: +*/ + goto __pyx_L6; + } + + /* "View.MemoryView":1287 + * Py_INCREF(( data)[0]) + * else: + * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) +*/ + /*else*/ { + Py_DECREF((((PyObject **)__pyx_v_data)[0])); + } + __pyx_L6:; + + /* "View.MemoryView":1283 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) +*/ + goto __pyx_L5; + } + + /* "View.MemoryView":1289 + * Py_DECREF(( data)[0]) + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) # <<<<<<<<<<<<<< + * + * data += stride +*/ + /*else*/ { + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); + } + __pyx_L5:; + + /* "View.MemoryView":1291 + * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) + * + * data += stride # <<<<<<<<<<<<<< + * + * +*/ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + + /* "View.MemoryView":1276 + * refcount_objects_in_slice(data, shape, strides, ndim, inc) + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') # <<<<<<<<<<<<<< + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, + * Py_ssize_t *strides, int ndim, bint inc) noexcept: +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1296 + * + * + * @cname('__pyx_memoryview_slice_assign_scalar') # <<<<<<<<<<<<<< + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, + * size_t itemsize, void *item, +*/ + +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { + + /* "View.MemoryView":1300 + * size_t itemsize, void *item, + * bint dtype_is_object) noexcept nogil: + * refcount_copying(dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, inc=True) +*/ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1301 + * bint dtype_is_object) noexcept nogil: + * refcount_copying(dst, dtype_is_object, ndim, inc=False) + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) # <<<<<<<<<<<<<< + * refcount_copying(dst, dtype_is_object, ndim, inc=True) + * +*/ + __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1302 + * refcount_copying(dst, dtype_is_object, ndim, inc=False) + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< + * + * +*/ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1296 + * + * + * @cname('__pyx_memoryview_slice_assign_scalar') # <<<<<<<<<<<<<< + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, + * size_t itemsize, void *item, +*/ + + /* function exit code */ +} + +/* "View.MemoryView":1305 + * + * + * @cname('__pyx_memoryview__slice_assign_scalar') # <<<<<<<<<<<<<< + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, + * Py_ssize_t *strides, int ndim, +*/ + +static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_extent; + int __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + + /* "View.MemoryView":1310 + * size_t itemsize, void *item) noexcept nogil: + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t extent = shape[0] + * +*/ + __pyx_v_stride = (__pyx_v_strides[0]); + + /* "View.MemoryView":1311 + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] + * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: +*/ + __pyx_v_extent = (__pyx_v_shape[0]); + + /* "View.MemoryView":1313 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) +*/ + __pyx_t_1 = (__pyx_v_ndim == 1); + if (__pyx_t_1) { + + /* "View.MemoryView":1314 + * + * if ndim == 1: + * for i in range(extent): # <<<<<<<<<<<<<< + * memcpy(data, item, itemsize) + * data += stride +*/ + __pyx_t_2 = __pyx_v_extent; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1315 + * if ndim == 1: + * for i in range(extent): + * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< + * data += stride + * else: +*/ + (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize)); + + /* "View.MemoryView":1316 + * for i in range(extent): + * memcpy(data, item, itemsize) + * data += stride # <<<<<<<<<<<<<< + * else: + * for i in range(extent): +*/ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + + /* "View.MemoryView":1313 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) +*/ + goto __pyx_L3; + } + + /* "View.MemoryView":1318 + * data += stride + * else: + * for i in range(extent): # <<<<<<<<<<<<<< + * _slice_assign_scalar(data, shape + 1, strides + 1, ndim - 1, itemsize, item) + * data += stride +*/ + /*else*/ { + __pyx_t_2 = __pyx_v_extent; 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+ } + + /* "core.pyx":25 + * v_prev = 0. + * else: + * v_prev = max_neg_val # <<<<<<<<<<<<<< + * else: + * v_prev = value[y-1, x-1] +*/ + /*else*/ { + __pyx_v_v_prev = __pyx_v_max_neg_val; + } + __pyx_L9:; + + /* "core.pyx":21 + * else: + * v_cur = value[y-1, x] + * if x == 0: # <<<<<<<<<<<<<< + * if y == 0: + * v_prev = 0. +*/ + goto __pyx_L8; + } + + /* "core.pyx":27 + * v_prev = max_neg_val + * else: + * v_prev = value[y-1, x-1] # <<<<<<<<<<<<<< + * value[y, x] += max(v_prev, v_cur) + * +*/ + /*else*/ { + __pyx_t_10 = (__pyx_v_y - 1); + __pyx_t_9 = (__pyx_v_x - 1); + __pyx_v_v_prev = (*((float *) ( /* dim=1 */ ((char *) (((float *) ( /* dim=0 */ (__pyx_v_value.data + __pyx_t_10 * __pyx_v_value.strides[0]) )) + __pyx_t_9)) ))); + } + __pyx_L8:; + + /* "core.pyx":28 + * else: + * v_prev = value[y-1, x-1] + * value[y, x] += max(v_prev, v_cur) # <<<<<<<<<<<<<< + * + * for y in range(t_y - 1, -1, -1): +*/ + __pyx_t_11 = __pyx_v_v_cur; + __pyx_t_12 = __pyx_v_v_prev; + __pyx_t_7 = (__pyx_t_11 > __pyx_t_12); 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++__pyx_temp) { + Py_XDECREF(values[__pyx_temp]); + } + __PYX_XCLEAR_MEMVIEW(&__pyx_v_paths, 1); + __PYX_XCLEAR_MEMVIEW(&__pyx_v_values, 1); + __PYX_XCLEAR_MEMVIEW(&__pyx_v_t_ys, 1); + __PYX_XCLEAR_MEMVIEW(&__pyx_v_t_xs, 1); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_4core_maximum_path_c(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_paths, __Pyx_memviewslice __pyx_v_values, __Pyx_memviewslice __pyx_v_t_ys, __Pyx_memviewslice __pyx_v_t_xs) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("maximum_path_c", 0); + __Pyx_XDECREF(__pyx_r); + if (unlikely(!__pyx_v_paths.memview)) { __Pyx_RaiseUnboundLocalError("paths"); __PYX_ERR(0, 36, __pyx_L1_error) } + if (unlikely(!__pyx_v_values.memview)) { __Pyx_RaiseUnboundLocalError("values"); __PYX_ERR(0, 36, __pyx_L1_error) } + if (unlikely(!__pyx_v_t_ys.memview)) { __Pyx_RaiseUnboundLocalError("t_ys"); __PYX_ERR(0, 36, __pyx_L1_error) } + if (unlikely(!__pyx_v_t_xs.memview)) { __Pyx_RaiseUnboundLocalError("t_xs"); __PYX_ERR(0, 36, __pyx_L1_error) } + __pyx_f_4core_maximum_path_c(__pyx_v_paths, __pyx_v_values, __pyx_v_t_ys, __pyx_v_t_xs, 1); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 36, __pyx_L1_error) + __pyx_t_1 = __Pyx_void_to_None(NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 36, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("core.maximum_path_c", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} +/* #### Code section: module_exttypes ### */ +static struct __pyx_vtabstruct_array __pyx_vtable_array; + +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_array_obj *p; + PyObject *o; 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+#endif + +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { + struct __pyx_MemviewEnum_obj *p; + PyObject *o; + o = __Pyx_AllocateExtensionType(t, 0); + if (unlikely(!o)) return 0; + p = ((struct __pyx_MemviewEnum_obj *)o); + p->name = Py_None; Py_INCREF(Py_None); + return o; +} + +static void __pyx_tp_dealloc_Enum(PyObject *o) { + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_Enum) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + PyObject_GC_UnTrack(o); + Py_CLEAR(p->name); + PyTypeObject *tp = Py_TYPE(o); + #if CYTHON_USE_TYPE_SLOTS + (*tp->tp_free)(o); + #else + { + freefunc tp_free = (freefunc)PyType_GetSlot(tp, Py_tp_free); + if (tp_free) tp_free(o); + } + #endif + #if CYTHON_USE_TYPE_SPECS + Py_DECREF(tp); + #endif +} + +static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + { + e = __Pyx_call_type_traverse(o, 1, v, a); + if (e) return e; + } + if (p->name) { + e = (*v)(p->name, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_Enum(PyObject *o) { + PyObject* tmp; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + tmp = ((PyObject*)p->name); + p->name = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + return 0; +} + +static PyMethodDef __pyx_methods_Enum[] = { + {"__reduce_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"__setstate_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type___pyx_MemviewEnum_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_Enum}, + {Py_tp_repr, (void *)__pyx_MemviewEnum___repr__}, + {Py_tp_traverse, (void *)__pyx_tp_traverse_Enum}, + {Py_tp_clear, (void *)__pyx_tp_clear_Enum}, + {Py_tp_methods, (void *)__pyx_methods_Enum}, + {Py_tp_init, (void *)__pyx_MemviewEnum___init__}, + {Py_tp_new, (void *)__pyx_tp_new_Enum}, + {0, 0}, +}; +static PyType_Spec __pyx_type___pyx_MemviewEnum_spec = { + "core.Enum", + sizeof(struct __pyx_MemviewEnum_obj), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, + __pyx_type___pyx_MemviewEnum_slots, +}; +#else + +static PyTypeObject __pyx_type___pyx_MemviewEnum = { + PyVarObject_HEAD_INIT(0, 0) + "core.""Enum", /*tp_name*/ + sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_Enum, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + __pyx_MemviewEnum___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_Enum, /*tp_traverse*/ + __pyx_tp_clear_Enum, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_Enum, /*tp_methods*/ + 0, /*tp_members*/ + 0, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_MemviewEnum___init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_Enum, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; + +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryview_obj *p; + PyObject *o; + o = __Pyx_AllocateExtensionType(t, 0); + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryview_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_memoryview; + p->obj = Py_None; Py_INCREF(Py_None); + p->_size = Py_None; Py_INCREF(Py_None); + p->view.obj = NULL; + if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_memoryview(PyObject *o) { + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_memoryview) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryview___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->obj); + Py_CLEAR(p->_size); + PyTypeObject *tp = Py_TYPE(o); + #if CYTHON_USE_TYPE_SLOTS + (*tp->tp_free)(o); + #else + { + freefunc tp_free = (freefunc)PyType_GetSlot(tp, Py_tp_free); + if (tp_free) tp_free(o); + } + #endif + #if CYTHON_USE_TYPE_SPECS + Py_DECREF(tp); + #endif +} + +static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + { + e = __Pyx_call_type_traverse(o, 1, v, a); + if (e) return e; + } + if (p->obj) { + e = (*v)(p->obj, a); if (e) return e; + } + if (p->_size) { + e = (*v)(p->_size, a); if (e) return e; + } + if (p->view.obj) { + e = (*v)(p->view.obj, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_memoryview(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + tmp = ((PyObject*)p->obj); + p->obj = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_size); + p->_size = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + Py_CLEAR(p->view.obj); + return 0; +} + +static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyLong_FromSsize_t(i); if(!x) return 0; + #if CYTHON_USE_TYPE_SLOTS || (!CYTHON_USE_TYPE_SPECS && __PYX_LIMITED_VERSION_HEX < 0x030A0000) + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + #else + r = ((binaryfunc)PyType_GetSlot(Py_TYPE(o), Py_mp_subscript))(o, x); + #endif + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_memoryview___setitem__(o, i, v); + } + else { + __Pyx_TypeName o_type_name; + o_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(o)); + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by " __Pyx_FMT_TYPENAME, o_type_name); + __Pyx_DECREF_TypeName(o_type_name); + return -1; + } +} + +static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); +} + +static PyMethodDef __pyx_methods_memoryview[] = { + {"is_c_contig", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_c_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"is_f_contig", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_f_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"copy_fortran", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy_fortran, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"__reduce_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"__setstate_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_memoryview[] = { + {"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0}, + {"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0}, + {"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0}, + {"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0}, + {"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0}, + {"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0}, + {"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0}, + {"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0}, + {"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +#if !CYTHON_COMPILING_IN_LIMITED_API + +static PyBufferProcs __pyx_tp_as_buffer_memoryview = { + __pyx_memoryview_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; +#endif +static PyType_Slot __pyx_type___pyx_memoryview_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_memoryview}, + {Py_tp_repr, (void *)__pyx_memoryview___repr__}, + {Py_sq_length, (void *)__pyx_memoryview___len__}, + {Py_sq_item, (void *)__pyx_sq_item_memoryview}, + {Py_mp_length, (void *)__pyx_memoryview___len__}, + {Py_mp_subscript, (void *)__pyx_memoryview___getitem__}, + {Py_mp_ass_subscript, (void *)__pyx_mp_ass_subscript_memoryview}, + {Py_tp_str, (void *)__pyx_memoryview___str__}, + #if defined(Py_bf_getbuffer) + {Py_bf_getbuffer, (void *)__pyx_memoryview_getbuffer}, + #endif + {Py_tp_traverse, (void *)__pyx_tp_traverse_memoryview}, + {Py_tp_clear, (void *)__pyx_tp_clear_memoryview}, + {Py_tp_methods, (void *)__pyx_methods_memoryview}, + {Py_tp_getset, (void *)__pyx_getsets_memoryview}, + {Py_tp_new, (void *)__pyx_tp_new_memoryview}, + {0, 0}, +}; +static PyType_Spec __pyx_type___pyx_memoryview_spec = { + "core.memoryview", + sizeof(struct __pyx_memoryview_obj), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, + __pyx_type___pyx_memoryview_slots, +}; +#else + +static PySequenceMethods __pyx_tp_as_sequence_memoryview = { + __pyx_memoryview___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_memoryview, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_memoryview = { + __pyx_memoryview___len__, /*mp_length*/ + __pyx_memoryview___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_memoryview = { + __pyx_memoryview_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_memoryview = { + PyVarObject_HEAD_INIT(0, 0) + "core.""memoryview", /*tp_name*/ + sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + __pyx_memoryview___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + __pyx_memoryview___str__, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_memoryview, /*tp_traverse*/ + __pyx_tp_clear_memoryview, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_memoryview, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_memoryview, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_memoryview, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; + +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryviewslice_obj *p; + PyObject *o = __pyx_tp_new_memoryview(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryviewslice_obj *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; + p->from_object = Py_None; Py_INCREF(Py_None); + p->from_slice.memview = NULL; + return o; +} + +static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc__memoryviewslice) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryviewslice___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->from_object); + PyObject_GC_Track(o); + __pyx_tp_dealloc_memoryview(o); +} + +static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; + if (p->from_object) { + e = (*v)(p->from_object, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear__memoryviewslice(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + __pyx_tp_clear_memoryview(o); + tmp = ((PyObject*)p->from_object); + p->from_object = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + __PYX_XCLEAR_MEMVIEW(&p->from_slice, 1); + return 0; +} + +static PyMethodDef __pyx_methods__memoryviewslice[] = { + {"__reduce_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {"__setstate_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, + {0, 0, 0, 0} +}; 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+ void *r = NULL; + m = PyImport_ImportModule(modname); + if (!m) goto end; + p = PyObject_GetAttrString(m, "RefNannyAPI"); + if (!p) goto end; + r = PyLong_AsVoidPtr(p); +end: + Py_XDECREF(p); + Py_XDECREF(m); + return (__Pyx_RefNannyAPIStruct *)r; +} +#endif + +/* TupleAndListFromArray (used by fastcall) */ +#if !CYTHON_COMPILING_IN_CPYTHON && CYTHON_METH_FASTCALL +static CYTHON_INLINE PyObject * +__Pyx_PyTuple_FromArray(PyObject *const *src, Py_ssize_t n) +{ + PyObject *res; + Py_ssize_t i; + if (n <= 0) { + return __Pyx_NewRef(__pyx_mstate_global->__pyx_empty_tuple); + } + res = PyTuple_New(n); + if (unlikely(res == NULL)) return NULL; + for (i = 0; i < n; i++) { + Py_INCREF(src[i]); + if (unlikely(__Pyx_PyTuple_SET_ITEM(res, i, src[i]) < (0))) { + Py_DECREF(res); + return NULL; + } + } + return res; +} +#elif CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE void __Pyx_copy_object_array(PyObject *const *CYTHON_RESTRICT src, PyObject** CYTHON_RESTRICT dest, Py_ssize_t length) { + PyObject *v; + Py_ssize_t i; + for (i = 0; i < length; i++) { + v = dest[i] = src[i]; + Py_INCREF(v); + } +} +static CYTHON_INLINE PyObject * +__Pyx_PyTuple_FromArray(PyObject *const *src, Py_ssize_t n) +{ + PyObject *res; + if (n <= 0) { + return __Pyx_NewRef(__pyx_mstate_global->__pyx_empty_tuple); + } + res = PyTuple_New(n); + if (unlikely(res == NULL)) return NULL; + __Pyx_copy_object_array(src, ((PyTupleObject*)res)->ob_item, n); + return res; +} +static CYTHON_INLINE PyObject * +__Pyx_PyList_FromArray(PyObject *const *src, Py_ssize_t n) +{ + PyObject *res; + if (n <= 0) { + return PyList_New(0); + } + res = PyList_New(n); + if (unlikely(res == NULL)) return NULL; + __Pyx_copy_object_array(src, ((PyListObject*)res)->ob_item, n); + return res; +} +#endif + +/* BytesEquals (used by UnicodeEquals) */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_GRAAL ||\ + !(CYTHON_ASSUME_SAFE_SIZE && CYTHON_ASSUME_SAFE_MACROS) + return PyObject_RichCompareBool(s1, s2, equals); +#else + if (s1 == s2) { + return (equals == Py_EQ); + } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { + const char *ps1, *ps2; + Py_ssize_t length = PyBytes_GET_SIZE(s1); + if (length != PyBytes_GET_SIZE(s2)) + return (equals == Py_NE); + ps1 = PyBytes_AS_STRING(s1); + ps2 = PyBytes_AS_STRING(s2); + if (ps1[0] != ps2[0]) { + return (equals == Py_NE); + } else if (length == 1) { + return (equals == Py_EQ); + } else { + int result; +#if CYTHON_USE_UNICODE_INTERNALS && (PY_VERSION_HEX < 0x030B0000) + Py_hash_t hash1, hash2; + hash1 = ((PyBytesObject*)s1)->ob_shash; + hash2 = ((PyBytesObject*)s2)->ob_shash; + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + return (equals == Py_NE); + } +#endif + result = memcmp(ps1, ps2, (size_t)length); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { + return (equals == Py_NE); + } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { + return (equals == Py_NE); + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +#endif +} + +/* UnicodeEquals (used by fastcall) */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_GRAAL + return PyObject_RichCompareBool(s1, s2, equals); +#else + int s1_is_unicode, s2_is_unicode; + if (s1 == s2) { + goto return_eq; + } + s1_is_unicode = PyUnicode_CheckExact(s1); + s2_is_unicode = PyUnicode_CheckExact(s2); + if (s1_is_unicode & s2_is_unicode) { + Py_ssize_t length, length2; + int kind; + void *data1, *data2; + #if !CYTHON_COMPILING_IN_LIMITED_API + if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) + return -1; + #endif + length = __Pyx_PyUnicode_GET_LENGTH(s1); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(length < 0)) return -1; + #endif + length2 = __Pyx_PyUnicode_GET_LENGTH(s2); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(length2 < 0)) return -1; + #endif + if (length != length2) { + goto return_ne; + } +#if CYTHON_USE_UNICODE_INTERNALS + { + Py_hash_t hash1, hash2; + hash1 = ((PyASCIIObject*)s1)->hash; + hash2 = ((PyASCIIObject*)s2)->hash; + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + goto return_ne; + } + } +#endif + kind = __Pyx_PyUnicode_KIND(s1); + if (kind != __Pyx_PyUnicode_KIND(s2)) { + goto return_ne; + } + data1 = __Pyx_PyUnicode_DATA(s1); + data2 = __Pyx_PyUnicode_DATA(s2); + if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { + goto return_ne; + } else if (length == 1) { + goto return_eq; + } else { + int result = memcmp(data1, data2, (size_t)(length * kind)); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & s2_is_unicode) { + goto return_ne; + } else if ((s2 == Py_None) & s1_is_unicode) { + goto return_ne; + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +return_eq: + return (equals == Py_EQ); +return_ne: + return (equals == Py_NE); +#endif +} + +/* fastcall */ +#if CYTHON_METH_FASTCALL +static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s) +{ + Py_ssize_t i, n = __Pyx_PyTuple_GET_SIZE(kwnames); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(n == -1)) return NULL; + #endif + for (i = 0; i < n; i++) + { + PyObject *namei = __Pyx_PyTuple_GET_ITEM(kwnames, i); + #if !CYTHON_ASSUME_SAFE_MACROS + if (unlikely(!namei)) return NULL; + #endif + if (s == namei) return kwvalues[i]; + } + for (i = 0; i < n; i++) + { + PyObject *namei = __Pyx_PyTuple_GET_ITEM(kwnames, i); + #if !CYTHON_ASSUME_SAFE_MACROS + if (unlikely(!namei)) return NULL; + #endif + int eq = __Pyx_PyUnicode_Equals(s, namei, Py_EQ); + if (unlikely(eq != 0)) { + if (unlikely(eq < 0)) return NULL; + return kwvalues[i]; + } + } + return NULL; +} +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API +CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues) { + Py_ssize_t i, nkwargs; + PyObject *dict; +#if !CYTHON_ASSUME_SAFE_SIZE + nkwargs = PyTuple_Size(kwnames); + if (unlikely(nkwargs < 0)) return NULL; +#else + nkwargs = PyTuple_GET_SIZE(kwnames); +#endif + dict = PyDict_New(); + if (unlikely(!dict)) + return NULL; + for (i=0; itp_call; + if (unlikely(!call)) + return PyObject_Call(func, arg, kw); + if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) + return NULL; + result = (*call)(func, arg, kw); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectCallMethO (used by PyObjectFastCall) */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { + PyObject *self, *result; + PyCFunction cfunc; + cfunc = __Pyx_CyOrPyCFunction_GET_FUNCTION(func); + self = __Pyx_CyOrPyCFunction_GET_SELF(func); + if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) + return NULL; + result = cfunc(self, arg); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectFastCall (used by PyObjectCallOneArg) */ +#if PY_VERSION_HEX < 0x03090000 || CYTHON_COMPILING_IN_LIMITED_API +static PyObject* __Pyx_PyObject_FastCall_fallback(PyObject *func, PyObject * const*args, size_t nargs, PyObject *kwargs) { + PyObject *argstuple; + PyObject *result = 0; + size_t i; + argstuple = PyTuple_New((Py_ssize_t)nargs); + if (unlikely(!argstuple)) return NULL; + for (i = 0; i < nargs; i++) { + Py_INCREF(args[i]); + if (__Pyx_PyTuple_SET_ITEM(argstuple, (Py_ssize_t)i, args[i]) != (0)) goto bad; + } + result = __Pyx_PyObject_Call(func, argstuple, kwargs); + bad: + Py_DECREF(argstuple); + return result; +} +#endif +#if CYTHON_VECTORCALL && !CYTHON_COMPILING_IN_LIMITED_API + #if PY_VERSION_HEX < 0x03090000 + #define __Pyx_PyVectorcall_Function(callable) _PyVectorcall_Function(callable) + #elif CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE vectorcallfunc __Pyx_PyVectorcall_Function(PyObject *callable) { + PyTypeObject *tp = Py_TYPE(callable); + #if defined(__Pyx_CyFunction_USED) + if (__Pyx_CyFunction_CheckExact(callable)) { + return __Pyx_CyFunction_func_vectorcall(callable); + } + #endif + if (!PyType_HasFeature(tp, Py_TPFLAGS_HAVE_VECTORCALL)) { + return NULL; + } + assert(PyCallable_Check(callable)); + Py_ssize_t offset = tp->tp_vectorcall_offset; + assert(offset > 0); + vectorcallfunc ptr; + memcpy(&ptr, (char *) callable + offset, sizeof(ptr)); + return ptr; +} + #else + #define __Pyx_PyVectorcall_Function(callable) PyVectorcall_Function(callable) + #endif +#endif +static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject *const *args, size_t _nargs, PyObject *kwargs) { + Py_ssize_t nargs = __Pyx_PyVectorcall_NARGS(_nargs); +#if CYTHON_COMPILING_IN_CPYTHON + if (nargs == 0 && kwargs == NULL) { + if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_NOARGS)) + return __Pyx_PyObject_CallMethO(func, NULL); + } + else if (nargs == 1 && kwargs == NULL) { + if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_O)) + return __Pyx_PyObject_CallMethO(func, args[0]); + } +#endif + if (kwargs == NULL) { + #if CYTHON_VECTORCALL + #if CYTHON_COMPILING_IN_LIMITED_API + return PyObject_Vectorcall(func, args, _nargs, NULL); + #else + vectorcallfunc f = __Pyx_PyVectorcall_Function(func); + if (f) { + return f(func, args, _nargs, NULL); + } + #endif + #endif + } + if (nargs == 0) { + return __Pyx_PyObject_Call(func, __pyx_mstate_global->__pyx_empty_tuple, kwargs); + } + #if PY_VERSION_HEX >= 0x03090000 && !CYTHON_COMPILING_IN_LIMITED_API + return PyObject_VectorcallDict(func, args, (size_t)nargs, kwargs); + #else + return __Pyx_PyObject_FastCall_fallback(func, args, (size_t)nargs, kwargs); + #endif +} + +/* PyObjectCallOneArg (used by CallUnboundCMethod0) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *args[2] = {NULL, arg}; + return __Pyx_PyObject_FastCall(func, args+1, 1 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); +} + +/* PyObjectGetAttrStr (used by UnpackUnboundCMethod) */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro)) + return tp->tp_getattro(obj, attr_name); + return PyObject_GetAttr(obj, attr_name); +} +#endif + +/* UnpackUnboundCMethod (used by CallUnboundCMethod0) */ +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030C0000 +static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject *args, PyObject *kwargs) { + PyObject *result; + PyObject *selfless_args = PyTuple_GetSlice(args, 1, PyTuple_Size(args)); + if (unlikely(!selfless_args)) return NULL; + result = PyObject_Call(method, selfless_args, kwargs); + Py_DECREF(selfless_args); + return result; +} +#elif CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x03090000 +static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject **args, Py_ssize_t nargs, PyObject *kwnames) { + return _PyObject_Vectorcall + (method, args ? args+1 : NULL, nargs ? nargs-1 : 0, kwnames); +} +#else +static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames) { + return +#if PY_VERSION_HEX < 0x03090000 + _PyObject_Vectorcall +#else + PyObject_Vectorcall +#endif + (method, args ? args+1 : NULL, nargs ? (size_t) nargs-1 : 0, kwnames); +} +#endif +static PyMethodDef __Pyx_UnboundCMethod_Def = { + "CythonUnboundCMethod", + __PYX_REINTERPRET_FUNCION(PyCFunction, __Pyx_SelflessCall), +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030C0000 + METH_VARARGS | METH_KEYWORDS, +#else + METH_FASTCALL | METH_KEYWORDS, +#endif + NULL +}; +static int __Pyx_TryUnpackUnboundCMethod(__Pyx_CachedCFunction* target) { + PyObject *method, *result=NULL; + method = __Pyx_PyObject_GetAttrStr(target->type, *target->method_name); + if (unlikely(!method)) + return -1; + result = method; +#if CYTHON_COMPILING_IN_CPYTHON + if (likely(__Pyx_TypeCheck(method, &PyMethodDescr_Type))) + { + PyMethodDescrObject *descr = (PyMethodDescrObject*) method; + target->func = descr->d_method->ml_meth; + target->flag = descr->d_method->ml_flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_STACKLESS); + } else +#endif +#if CYTHON_COMPILING_IN_PYPY +#else + if (PyCFunction_Check(method)) +#endif + { + PyObject *self; + int self_found; +#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_PYPY + self = PyObject_GetAttrString(method, "__self__"); + if (!self) { + PyErr_Clear(); + } +#else + self = PyCFunction_GET_SELF(method); +#endif + self_found = (self && self != Py_None); +#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_PYPY + Py_XDECREF(self); +#endif + if (self_found) { + PyObject *unbound_method = PyCFunction_New(&__Pyx_UnboundCMethod_Def, method); + if (unlikely(!unbound_method)) return -1; + Py_DECREF(method); + result = unbound_method; + } + } +#if !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + if (unlikely(target->method)) { + Py_DECREF(result); + } else +#endif + target->method = result; + return 0; +} + +/* CallUnboundCMethod0 */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self) { + int was_initialized = __Pyx_CachedCFunction_GetAndSetInitializing(cfunc); + if (likely(was_initialized == 2 && cfunc->func)) { + if (likely(cfunc->flag == METH_NOARGS)) + return __Pyx_CallCFunction(cfunc, self, NULL); + if (likely(cfunc->flag == METH_FASTCALL)) + return __Pyx_CallCFunctionFast(cfunc, self, NULL, 0); + if (cfunc->flag == (METH_FASTCALL | METH_KEYWORDS)) + return __Pyx_CallCFunctionFastWithKeywords(cfunc, self, NULL, 0, NULL); + if (likely(cfunc->flag == (METH_VARARGS | METH_KEYWORDS))) + return __Pyx_CallCFunctionWithKeywords(cfunc, self, __pyx_mstate_global->__pyx_empty_tuple, NULL); + if (cfunc->flag == METH_VARARGS) + return __Pyx_CallCFunction(cfunc, self, __pyx_mstate_global->__pyx_empty_tuple); + return __Pyx__CallUnboundCMethod0(cfunc, self); + } +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + else if (unlikely(was_initialized == 1)) { + __Pyx_CachedCFunction tmp_cfunc = { +#ifndef __cplusplus + 0 +#endif + }; + tmp_cfunc.type = cfunc->type; + tmp_cfunc.method_name = cfunc->method_name; + return __Pyx__CallUnboundCMethod0(&tmp_cfunc, self); + } +#endif + PyObject *result = __Pyx__CallUnboundCMethod0(cfunc, self); + __Pyx_CachedCFunction_SetFinishedInitializing(cfunc); + return result; +} +#endif +static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self) { + PyObject *result; + if (unlikely(!cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; + result = __Pyx_PyObject_CallOneArg(cfunc->method, self); + return result; +} + +/* py_dict_items (used by OwnedDictNext) */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Items(PyObject* d) { + return __Pyx_CallUnboundCMethod0(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_items, d); +} + +/* py_dict_values (used by OwnedDictNext) */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Values(PyObject* d) { + return __Pyx_CallUnboundCMethod0(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_values, d); +} + +/* OwnedDictNext (used by ParseKeywordsImpl) */ +#if CYTHON_AVOID_BORROWED_REFS +static int __Pyx_PyDict_NextRef(PyObject *p, PyObject **ppos, PyObject **pkey, PyObject **pvalue) { + PyObject *next = NULL; + if (!*ppos) { + if (pvalue) { + PyObject *dictview = pkey ? __Pyx_PyDict_Items(p) : __Pyx_PyDict_Values(p); + if (unlikely(!dictview)) goto bad; + *ppos = PyObject_GetIter(dictview); + Py_DECREF(dictview); + } else { + *ppos = PyObject_GetIter(p); + } + if (unlikely(!*ppos)) goto bad; + } + next = PyIter_Next(*ppos); + if (!next) { + if (PyErr_Occurred()) goto bad; + return 0; + } + if (pkey && pvalue) { + *pkey = __Pyx_PySequence_ITEM(next, 0); + if (unlikely(*pkey)) goto bad; + *pvalue = __Pyx_PySequence_ITEM(next, 1); + if (unlikely(*pvalue)) goto bad; + Py_DECREF(next); + } else if (pkey) { + *pkey = next; + } else { + assert(pvalue); + *pvalue = next; + } + return 1; + bad: + Py_XDECREF(next); +#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d0000 + PyErr_FormatUnraisable("Exception ignored in __Pyx_PyDict_NextRef"); +#else + PyErr_WriteUnraisable(__pyx_mstate_global->__pyx_n_u_Pyx_PyDict_NextRef); +#endif + if (pkey) *pkey = NULL; + if (pvalue) *pvalue = NULL; + return 0; +} +#else // !CYTHON_AVOID_BORROWED_REFS +static int __Pyx_PyDict_NextRef(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue) { + int result = PyDict_Next(p, ppos, pkey, pvalue); + if (likely(result == 1)) { + if (pkey) Py_INCREF(*pkey); + if (pvalue) Py_INCREF(*pvalue); + } + return result; +} +#endif + +/* RaiseDoubleKeywords (used by ParseKeywordsImpl) */ +static void __Pyx_RaiseDoubleKeywordsError( + const char* func_name, + PyObject* kw_name) +{ + PyErr_Format(PyExc_TypeError, + "%s() got multiple values for keyword argument '%U'", func_name, kw_name); +} + +/* CallUnboundCMethod2 */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2) { + int was_initialized = __Pyx_CachedCFunction_GetAndSetInitializing(cfunc); + if (likely(was_initialized == 2 && cfunc->func)) { + PyObject *args[2] = {arg1, arg2}; + if (cfunc->flag == METH_FASTCALL) { + return __Pyx_CallCFunctionFast(cfunc, self, args, 2); + } + if (cfunc->flag == (METH_FASTCALL | METH_KEYWORDS)) + return __Pyx_CallCFunctionFastWithKeywords(cfunc, self, args, 2, NULL); + } +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + else if (unlikely(was_initialized == 1)) { + __Pyx_CachedCFunction tmp_cfunc = { +#ifndef __cplusplus + 0 +#endif + }; + tmp_cfunc.type = cfunc->type; + tmp_cfunc.method_name = cfunc->method_name; + return __Pyx__CallUnboundCMethod2(&tmp_cfunc, self, arg1, arg2); + } +#endif + PyObject *result = __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2); + __Pyx_CachedCFunction_SetFinishedInitializing(cfunc); + return result; +} +#endif +static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2){ + if (unlikely(!cfunc->func && !cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; +#if CYTHON_COMPILING_IN_CPYTHON + if (cfunc->func && (cfunc->flag & METH_VARARGS)) { + PyObject *result = NULL; + PyObject *args = PyTuple_New(2); + if (unlikely(!args)) return NULL; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + if (cfunc->flag & METH_KEYWORDS) + result = __Pyx_CallCFunctionWithKeywords(cfunc, self, args, NULL); + else + result = __Pyx_CallCFunction(cfunc, self, args); + Py_DECREF(args); + return result; + } +#endif + { + PyObject *args[4] = {NULL, self, arg1, arg2}; + return __Pyx_PyObject_FastCall(cfunc->method, args+1, 3 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); + } +} + +/* ParseKeywordsImpl (used by ParseKeywords) */ +static int __Pyx_ValidateDuplicatePosArgs( + PyObject *kwds, + PyObject ** const argnames[], + PyObject ** const *first_kw_arg, + const char* function_name) +{ + PyObject ** const *name = argnames; + while (name != first_kw_arg) { + PyObject *key = **name; + int found = PyDict_Contains(kwds, key); + if (unlikely(found)) { + if (found == 1) __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; + } + name++; + } + return 0; +bad: + return -1; +} +#if CYTHON_USE_UNICODE_INTERNALS +static CYTHON_INLINE int __Pyx_UnicodeKeywordsEqual(PyObject *s1, PyObject *s2) { + int kind; + Py_ssize_t len = PyUnicode_GET_LENGTH(s1); + if (len != PyUnicode_GET_LENGTH(s2)) return 0; + kind = PyUnicode_KIND(s1); + if (kind != PyUnicode_KIND(s2)) return 0; + const void *data1 = PyUnicode_DATA(s1); + const void *data2 = PyUnicode_DATA(s2); + return (memcmp(data1, data2, (size_t) len * (size_t) kind) == 0); +} +#endif +static int __Pyx_MatchKeywordArg_str( + PyObject *key, + PyObject ** const argnames[], + PyObject ** const *first_kw_arg, + size_t *index_found, + const char *function_name) +{ + PyObject ** const *name; + #if CYTHON_USE_UNICODE_INTERNALS + Py_hash_t key_hash = ((PyASCIIObject*)key)->hash; + if (unlikely(key_hash == -1)) { + key_hash = PyObject_Hash(key); + if (unlikely(key_hash == -1)) + goto bad; + } + #endif + name = first_kw_arg; + while (*name) { + PyObject *name_str = **name; + #if CYTHON_USE_UNICODE_INTERNALS + if (key_hash == ((PyASCIIObject*)name_str)->hash && __Pyx_UnicodeKeywordsEqual(name_str, key)) { + *index_found = (size_t) (name - argnames); + return 1; + } + #else + #if CYTHON_ASSUME_SAFE_SIZE + if (PyUnicode_GET_LENGTH(name_str) == PyUnicode_GET_LENGTH(key)) + #endif + { + int cmp = PyUnicode_Compare(name_str, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) { + *index_found = (size_t) (name - argnames); + return 1; + } + } + #endif + name++; + } + name = argnames; + while (name != first_kw_arg) { + PyObject *name_str = **name; + #if CYTHON_USE_UNICODE_INTERNALS + if (unlikely(key_hash == ((PyASCIIObject*)name_str)->hash)) { + if (__Pyx_UnicodeKeywordsEqual(name_str, key)) + goto arg_passed_twice; + } + #else + #if CYTHON_ASSUME_SAFE_SIZE + if (PyUnicode_GET_LENGTH(name_str) == PyUnicode_GET_LENGTH(key)) + #endif + { + if (unlikely(name_str == key)) goto arg_passed_twice; + int cmp = PyUnicode_Compare(name_str, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) goto arg_passed_twice; + } + #endif + name++; + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +bad: + return -1; +} +static int __Pyx_MatchKeywordArg_nostr( + PyObject *key, + PyObject ** const argnames[], + PyObject ** const *first_kw_arg, + size_t *index_found, + const char *function_name) +{ + PyObject ** const *name; + if (unlikely(!PyUnicode_Check(key))) goto invalid_keyword_type; + name = first_kw_arg; + while (*name) { + int cmp = PyObject_RichCompareBool(**name, key, Py_EQ); + if (cmp == 1) { + *index_found = (size_t) (name - argnames); + return 1; + } + if (unlikely(cmp == -1)) goto bad; + name++; + } + name = argnames; + while (name != first_kw_arg) { + int cmp = PyObject_RichCompareBool(**name, key, Py_EQ); + if (unlikely(cmp != 0)) { + if (cmp == 1) goto arg_passed_twice; + else goto bad; + } + name++; + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +bad: + return -1; +} +static CYTHON_INLINE int __Pyx_MatchKeywordArg( + PyObject *key, + PyObject ** const argnames[], + PyObject ** const *first_kw_arg, + size_t *index_found, + const char *function_name) +{ + return likely(PyUnicode_CheckExact(key)) ? + __Pyx_MatchKeywordArg_str(key, argnames, first_kw_arg, index_found, function_name) : + __Pyx_MatchKeywordArg_nostr(key, argnames, first_kw_arg, index_found, function_name); +} +static void __Pyx_RejectUnknownKeyword( + PyObject *kwds, + PyObject ** const argnames[], + PyObject ** const *first_kw_arg, + const char *function_name) +{ + #if CYTHON_AVOID_BORROWED_REFS + PyObject *pos = NULL; + #else + Py_ssize_t pos = 0; + #endif + PyObject *key = NULL; + __Pyx_BEGIN_CRITICAL_SECTION(kwds); + while ( + #if CYTHON_AVOID_BORROWED_REFS + __Pyx_PyDict_NextRef(kwds, &pos, &key, NULL) + #else + PyDict_Next(kwds, &pos, &key, NULL) + #endif + ) { + PyObject** const *name = first_kw_arg; + while (*name && (**name != key)) name++; + if (!*name) { + size_t index_found = 0; + int cmp = __Pyx_MatchKeywordArg(key, argnames, first_kw_arg, &index_found, function_name); + if (cmp != 1) { + if (cmp == 0) { + PyErr_Format(PyExc_TypeError, + "%s() got an unexpected keyword argument '%U'", + function_name, key); + } + #if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(key); + #endif + break; + } + } + #if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(key); + #endif + } + __Pyx_END_CRITICAL_SECTION(); + #if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(pos); + #endif + assert(PyErr_Occurred()); +} +static int __Pyx_ParseKeywordDict( + PyObject *kwds, + PyObject ** const argnames[], + PyObject *values[], + Py_ssize_t num_pos_args, + Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs) +{ + PyObject** const *name; + PyObject** const *first_kw_arg = argnames + num_pos_args; + Py_ssize_t extracted = 0; +#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) + if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return -1; +#endif + name = first_kw_arg; + while (*name && num_kwargs > extracted) { + PyObject * key = **name; + PyObject *value; + int found = 0; + #if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + found = PyDict_GetItemRef(kwds, key, &value); + #else + value = PyDict_GetItemWithError(kwds, key); + if (value) { + Py_INCREF(value); + found = 1; + } else { + if (unlikely(PyErr_Occurred())) goto bad; + } + #endif + if (found) { + if (unlikely(found < 0)) goto bad; + values[name-argnames] = value; + extracted++; + } + name++; + } + if (num_kwargs > extracted) { + if (ignore_unknown_kwargs) { + if (unlikely(__Pyx_ValidateDuplicatePosArgs(kwds, argnames, first_kw_arg, function_name) == -1)) + goto bad; + } else { + __Pyx_RejectUnknownKeyword(kwds, argnames, first_kw_arg, function_name); + goto bad; + } + } + return 0; +bad: + return -1; +} +static int __Pyx_ParseKeywordDictToDict( + PyObject *kwds, + PyObject ** const argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name) +{ + PyObject** const *name; + PyObject** const *first_kw_arg = argnames + num_pos_args; + Py_ssize_t len; +#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) + if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return -1; +#endif + if (PyDict_Update(kwds2, kwds) < 0) goto bad; + name = first_kw_arg; + while (*name) { + PyObject *key = **name; + PyObject *value; +#if !CYTHON_COMPILING_IN_LIMITED_API && (PY_VERSION_HEX >= 0x030d00A2 || defined(PyDict_Pop)) + int found = PyDict_Pop(kwds2, key, &value); + if (found) { + if (unlikely(found < 0)) goto bad; + values[name-argnames] = value; + } +#elif __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + int found = PyDict_GetItemRef(kwds2, key, &value); + if (found) { + if (unlikely(found < 0)) goto bad; + values[name-argnames] = value; + if (unlikely(PyDict_DelItem(kwds2, key) < 0)) goto bad; + } +#else + #if CYTHON_COMPILING_IN_CPYTHON + value = _PyDict_Pop(kwds2, key, kwds2); + #else + value = __Pyx_CallUnboundCMethod2(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_pop, kwds2, key, kwds2); + #endif + if (value == kwds2) { + Py_DECREF(value); + } else { + if (unlikely(!value)) goto bad; + values[name-argnames] = value; + } +#endif + name++; + } + len = PyDict_Size(kwds2); + if (len > 0) { + return __Pyx_ValidateDuplicatePosArgs(kwds, argnames, first_kw_arg, function_name); + } else if (unlikely(len == -1)) { + goto bad; + } + return 0; +bad: + return -1; +} +static int __Pyx_ParseKeywordsTuple( + PyObject *kwds, + PyObject * const *kwvalues, + PyObject ** const argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs) +{ + PyObject *key = NULL; + PyObject** const * name; + PyObject** const *first_kw_arg = argnames + num_pos_args; + for (Py_ssize_t pos = 0; pos < num_kwargs; pos++) { +#if CYTHON_AVOID_BORROWED_REFS + key = __Pyx_PySequence_ITEM(kwds, pos); +#else + key = __Pyx_PyTuple_GET_ITEM(kwds, pos); +#endif +#if !CYTHON_ASSUME_SAFE_MACROS + if (unlikely(!key)) goto bad; +#endif + name = first_kw_arg; + while (*name && (**name != key)) name++; + if (*name) { + PyObject *value = kwvalues[pos]; + values[name-argnames] = __Pyx_NewRef(value); + } else { + size_t index_found = 0; + int cmp = __Pyx_MatchKeywordArg(key, argnames, first_kw_arg, &index_found, function_name); + if (cmp == 1) { + PyObject *value = kwvalues[pos]; + values[index_found] = __Pyx_NewRef(value); + } else { + if (unlikely(cmp == -1)) goto bad; + if (kwds2) { + PyObject *value = kwvalues[pos]; + if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; + } else if (!ignore_unknown_kwargs) { + goto invalid_keyword; + } + } + } + #if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(key); + key = NULL; + #endif + } + return 0; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + "%s() got an unexpected keyword argument '%U'", + function_name, key); + goto bad; +bad: + #if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(key); + #endif + return -1; +} + +/* ParseKeywords */ +static int __Pyx_ParseKeywords( + PyObject *kwds, + PyObject * const *kwvalues, + PyObject ** const argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + Py_ssize_t num_kwargs, + const char* function_name, + int ignore_unknown_kwargs) +{ + if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds))) + return __Pyx_ParseKeywordsTuple(kwds, kwvalues, argnames, kwds2, values, num_pos_args, num_kwargs, function_name, ignore_unknown_kwargs); + else if (kwds2) + return __Pyx_ParseKeywordDictToDict(kwds, argnames, kwds2, values, num_pos_args, function_name); + else + return __Pyx_ParseKeywordDict(kwds, argnames, values, num_pos_args, num_kwargs, function_name, ignore_unknown_kwargs); +} + +/* RaiseArgTupleInvalid */ +static void __Pyx_RaiseArgtupleInvalid( + const char* func_name, + int exact, + Py_ssize_t num_min, + Py_ssize_t num_max, + Py_ssize_t num_found) +{ + Py_ssize_t num_expected; + const char *more_or_less; + if (num_found < num_min) { + num_expected = num_min; + more_or_less = "at least"; + } else { + num_expected = num_max; + more_or_less = "at most"; + } + if (exact) { + more_or_less = "exactly"; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", + func_name, more_or_less, num_expected, + (num_expected == 1) ? "" : "s", num_found); +} + +/* ArgTypeTestFunc (used by ArgTypeTest) */ +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) +{ + __Pyx_TypeName type_name; + __Pyx_TypeName obj_type_name; + PyObject *extra_info = __pyx_mstate_global->__pyx_empty_unicode; + int from_annotation_subclass = 0; + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + else if (!exact) { + if (likely(__Pyx_TypeCheck(obj, type))) return 1; + } else if (exact == 2) { + if (__Pyx_TypeCheck(obj, type)) { + from_annotation_subclass = 1; + extra_info = __pyx_mstate_global->__pyx_kp_u_Note_that_Cython_is_deliberately; + } + } + type_name = __Pyx_PyType_GetFullyQualifiedName(type); + obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); + PyErr_Format(PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected " __Pyx_FMT_TYPENAME + ", got " __Pyx_FMT_TYPENAME ")" +#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 + "%s%U" +#endif + , name, type_name, obj_type_name +#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 + , (from_annotation_subclass ? ". " : ""), extra_info +#endif + ); +#if __PYX_LIMITED_VERSION_HEX >= 0x030C0000 + if (exact == 2 && from_annotation_subclass) { + PyObject *res; + PyObject *vargs[2]; + vargs[0] = PyErr_GetRaisedException(); + vargs[1] = extra_info; + res = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_kp_u_add_note, vargs, 2, NULL); + Py_XDECREF(res); + PyErr_SetRaisedException(vargs[0]); + } +#endif + __Pyx_DECREF_TypeName(type_name); + __Pyx_DECREF_TypeName(obj_type_name); + return 0; +} + +/* PyErrExceptionMatches (used by PyObjectGetAttrStrNoError) */ +#if CYTHON_FAST_THREAD_STATE +static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(tuple); + for (i=0; i= 0x030C00A6 + PyObject *current_exception = tstate->current_exception; + if (unlikely(!current_exception)) return 0; + exc_type = (PyObject*) Py_TYPE(current_exception); + if (exc_type == err) return 1; +#else + exc_type = tstate->curexc_type; + if (exc_type == err) return 1; + if (unlikely(!exc_type)) return 0; +#endif + #if CYTHON_AVOID_BORROWED_REFS + Py_INCREF(exc_type); + #endif + if (unlikely(PyTuple_Check(err))) { + result = __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); + } else { + result = __Pyx_PyErr_GivenExceptionMatches(exc_type, err); + } + #if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(exc_type); + #endif + return result; +} +#endif + +/* PyErrFetchRestore (used by PyObjectGetAttrStrNoError) */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { +#if PY_VERSION_HEX >= 0x030C00A6 + PyObject *tmp_value; + assert(type == NULL || (value != NULL && type == (PyObject*) Py_TYPE(value))); + if (value) { + #if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(((PyBaseExceptionObject*) value)->traceback != tb)) + #endif + PyException_SetTraceback(value, tb); + } + tmp_value = tstate->current_exception; + tstate->current_exception = value; + Py_XDECREF(tmp_value); + Py_XDECREF(type); + Py_XDECREF(tb); +#else + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +#endif +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { +#if PY_VERSION_HEX >= 0x030C00A6 + PyObject* exc_value; + exc_value = tstate->current_exception; + tstate->current_exception = 0; + *value = exc_value; + *type = NULL; + *tb = NULL; + if (exc_value) { + *type = (PyObject*) Py_TYPE(exc_value); + Py_INCREF(*type); + #if CYTHON_COMPILING_IN_CPYTHON + *tb = ((PyBaseExceptionObject*) exc_value)->traceback; + Py_XINCREF(*tb); + #else + *tb = PyException_GetTraceback(exc_value); + #endif + } +#else + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +#endif +} +#endif + +/* PyObjectGetAttrStrNoError (used by GetBuiltinName) */ +#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 +static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + __Pyx_PyErr_Clear(); +} +#endif +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) { + PyObject *result; +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + (void) PyObject_GetOptionalAttr(obj, attr_name, &result); + return result; +#else +#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) { + return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1); + } +#endif + result = __Pyx_PyObject_GetAttrStr(obj, attr_name); + if (unlikely(!result)) { + __Pyx_PyObject_GetAttrStr_ClearAttributeError(); + } + return result; +#endif +} + +/* GetBuiltinName */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name) { + PyObject* result = __Pyx_PyObject_GetAttrStrNoError(__pyx_mstate_global->__pyx_b, name); + if (unlikely(!result) && !PyErr_Occurred()) { + PyErr_Format(PyExc_NameError, + "name '%U' is not defined", name); + } + return result; +} + +/* RaiseException */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { + PyObject* owned_instance = NULL; + if (tb == Py_None) { + tb = 0; + } else if (tb && !PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto bad; + } + if (value == Py_None) + value = 0; + if (PyExceptionInstance_Check(type)) { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto bad; + } + value = type; + type = (PyObject*) Py_TYPE(value); + } else if (PyExceptionClass_Check(type)) { + PyObject *instance_class = NULL; + if (value && PyExceptionInstance_Check(value)) { + instance_class = (PyObject*) Py_TYPE(value); + if (instance_class != type) { + int is_subclass = PyObject_IsSubclass(instance_class, type); + if (!is_subclass) { + instance_class = NULL; + } else if (unlikely(is_subclass == -1)) { + goto bad; + } else { + type = instance_class; + } + } + } + if (!instance_class) { + PyObject *args; + if (!value) + args = PyTuple_New(0); + else if (PyTuple_Check(value)) { + Py_INCREF(value); + args = value; + } else + args = PyTuple_Pack(1, value); + if (!args) + goto bad; + owned_instance = PyObject_Call(type, args, NULL); + Py_DECREF(args); + if (!owned_instance) + goto bad; + value = owned_instance; + if (!PyExceptionInstance_Check(value)) { + PyErr_Format(PyExc_TypeError, + "calling %R should have returned an instance of " + "BaseException, not %R", + type, Py_TYPE(value)); + goto bad; + } + } + } else { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto bad; + } + if (cause) { + PyObject *fixed_cause; + if (cause == Py_None) { + fixed_cause = NULL; + } else if (PyExceptionClass_Check(cause)) { + fixed_cause = PyObject_CallObject(cause, NULL); + if (fixed_cause == NULL) + goto bad; + } else if (PyExceptionInstance_Check(cause)) { + fixed_cause = cause; + Py_INCREF(fixed_cause); + } else { + PyErr_SetString(PyExc_TypeError, + "exception causes must derive from " + "BaseException"); + goto bad; + } + PyException_SetCause(value, fixed_cause); + } + PyErr_SetObject(type, value); + if (tb) { +#if PY_VERSION_HEX >= 0x030C00A6 + PyException_SetTraceback(value, tb); +#elif CYTHON_FAST_THREAD_STATE + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* tmp_tb = tstate->curexc_traceback; + if (tb != tmp_tb) { + Py_INCREF(tb); + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_tb); + } +#else + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); + Py_INCREF(tb); + PyErr_Restore(tmp_type, tmp_value, tb); + Py_XDECREF(tmp_tb); +#endif + } +bad: + Py_XDECREF(owned_instance); + return; +} + +/* PyObjectFastCallMethod */ +#if !CYTHON_VECTORCALL || PY_VERSION_HEX < 0x03090000 +static PyObject *__Pyx_PyObject_FastCallMethod(PyObject *name, PyObject *const *args, size_t nargsf) { + PyObject *result; + PyObject *attr = PyObject_GetAttr(args[0], name); + if (unlikely(!attr)) + return NULL; + result = __Pyx_PyObject_FastCall(attr, args+1, nargsf - 1); + Py_DECREF(attr); + return result; +} +#endif + +/* RaiseUnexpectedTypeError */ +static int +__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj) +{ + __Pyx_TypeName obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); + PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME, + expected, obj_type_name); + __Pyx_DECREF_TypeName(obj_type_name); + return 0; +} + +/* CIntToDigits (used by CIntToPyUnicode) */ +static const char DIGIT_PAIRS_10[2*10*10+1] = { + "00010203040506070809" + "10111213141516171819" + "20212223242526272829" + "30313233343536373839" + "40414243444546474849" + "50515253545556575859" + "60616263646566676869" + "70717273747576777879" + "80818283848586878889" + "90919293949596979899" +}; +static const char DIGIT_PAIRS_8[2*8*8+1] = { + "0001020304050607" + "1011121314151617" + "2021222324252627" + "3031323334353637" + "4041424344454647" + "5051525354555657" + "6061626364656667" + "7071727374757677" +}; +static const char DIGITS_HEX[2*16+1] = { + "0123456789abcdef" + "0123456789ABCDEF" +}; + +/* BuildPyUnicode (used by COrdinalToPyUnicode) */ +static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, const char* chars, int clength, + int prepend_sign, char padding_char) { + PyObject *uval; + Py_ssize_t uoffset = ulength - clength; +#if CYTHON_USE_UNICODE_INTERNALS + Py_ssize_t i; + void *udata; + uval = PyUnicode_New(ulength, 127); + if (unlikely(!uval)) return NULL; + udata = PyUnicode_DATA(uval); + if (uoffset > 0) { + i = 0; + if (prepend_sign) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); + i++; + } + for (; i < uoffset; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); + } + } + for (i=0; i < clength; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); + } +#else + { + PyObject *sign = NULL, *padding = NULL; + uval = NULL; + if (uoffset > 0) { + prepend_sign = !!prepend_sign; + if (uoffset > prepend_sign) { + padding = PyUnicode_FromOrdinal(padding_char); + if (likely(padding) && uoffset > prepend_sign + 1) { + PyObject *tmp = PySequence_Repeat(padding, uoffset - prepend_sign); + Py_DECREF(padding); + padding = tmp; + } + if (unlikely(!padding)) goto done_or_error; + } + if (prepend_sign) { + sign = PyUnicode_FromOrdinal('-'); + if (unlikely(!sign)) goto done_or_error; + } + } + uval = PyUnicode_DecodeASCII(chars, clength, NULL); + if (likely(uval) && padding) { + PyObject *tmp = PyUnicode_Concat(padding, uval); + Py_DECREF(uval); + uval = tmp; + } + if (likely(uval) && sign) { + PyObject *tmp = PyUnicode_Concat(sign, uval); + Py_DECREF(uval); + uval = tmp; + } +done_or_error: + Py_XDECREF(padding); + Py_XDECREF(sign); + } +#endif + return uval; +} + +/* COrdinalToPyUnicode (used by CIntToPyUnicode) */ +static CYTHON_INLINE int __Pyx_CheckUnicodeValue(int value) { + return value <= 1114111; +} +static PyObject* __Pyx_PyUnicode_FromOrdinal_Padded(int value, Py_ssize_t ulength, char padding_char) { + Py_ssize_t padding_length = ulength - 1; + if (likely((padding_length <= 250) && (value < 0xD800 || value > 0xDFFF))) { + char chars[256]; + if (value <= 255) { + memset(chars, padding_char, (size_t) padding_length); + chars[ulength-1] = (char) value; + return PyUnicode_DecodeLatin1(chars, ulength, NULL); + } + char *cpos = chars + sizeof(chars); + if (value < 0x800) { + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0xc0 | (value & 0x1f)); + } else if (value < 0x10000) { + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0xe0 | (value & 0x0f)); + } else { + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0x80 | (value & 0x3f)); + value >>= 6; + *--cpos = (char) (0xf0 | (value & 0x07)); + } + cpos -= padding_length; + memset(cpos, padding_char, (size_t) padding_length); + return PyUnicode_DecodeUTF8(cpos, chars + sizeof(chars) - cpos, NULL); + } + if (value <= 127 && CYTHON_USE_UNICODE_INTERNALS) { + const char chars[1] = {(char) value}; + return __Pyx_PyUnicode_BuildFromAscii(ulength, chars, 1, 0, padding_char); + } + { + PyObject *uchar, *padding_uchar, *padding, *result; + padding_uchar = PyUnicode_FromOrdinal(padding_char); + if (unlikely(!padding_uchar)) return NULL; + padding = PySequence_Repeat(padding_uchar, padding_length); + Py_DECREF(padding_uchar); + if (unlikely(!padding)) return NULL; + uchar = PyUnicode_FromOrdinal(value); + if (unlikely(!uchar)) { + Py_DECREF(padding); + return NULL; + } + result = PyUnicode_Concat(padding, uchar); + Py_DECREF(padding); + Py_DECREF(uchar); + return result; + } +} + +/* CIntToPyUnicode */ +static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!(is_unsigned || value == 0 || value > 0) || + !(sizeof(value) <= 2 || value & ~ (int) 0x01fffff || __Pyx_CheckUnicodeValue((int) value)))) { + PyErr_SetString(PyExc_OverflowError, "%c arg not in range(0x110000)"); + return NULL; + } + if (width <= 1) { + return PyUnicode_FromOrdinal((int) value); + } + return __Pyx_PyUnicode_FromOrdinal_Padded((int) value, width, padding_char); +} +static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(int)*3+2]; + char *dpos, *end = digits + sizeof(int)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + int remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (int) (remaining / (8*8)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (int) (remaining / (10*10)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (int) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + assert(!last_one_off || *dpos == '0'); + dpos += last_one_off; + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* CIntToPyUnicode */ +static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!(is_unsigned || value == 0 || value > 0) || + !(sizeof(value) <= 2 || value & ~ (Py_ssize_t) 0x01fffff || __Pyx_CheckUnicodeValue((int) value)))) { + PyErr_SetString(PyExc_OverflowError, "%c arg not in range(0x110000)"); + return NULL; + } + if (width <= 1) { + return PyUnicode_FromOrdinal((int) value); + } + return __Pyx_PyUnicode_FromOrdinal_Padded((int) value, width, padding_char); +} +static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(Py_ssize_t)*3+2]; + char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + Py_ssize_t remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (Py_ssize_t) (remaining / (8*8)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (Py_ssize_t) (remaining / (10*10)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (Py_ssize_t) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + assert(!last_one_off || *dpos == '0'); + dpos += last_one_off; + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* JoinPyUnicode */ +static PyObject* __Pyx_PyUnicode_Join(PyObject** values, Py_ssize_t value_count, Py_ssize_t result_ulength, + Py_UCS4 max_char) { +#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *result_uval; + int result_ukind, kind_shift; + Py_ssize_t i, char_pos; + void *result_udata; + if (max_char > 1114111) max_char = 1114111; + result_uval = PyUnicode_New(result_ulength, max_char); + if (unlikely(!result_uval)) return NULL; + result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; + kind_shift = (result_ukind == PyUnicode_4BYTE_KIND) ? 2 : result_ukind - 1; + result_udata = PyUnicode_DATA(result_uval); + assert(kind_shift == 2 || kind_shift == 1 || kind_shift == 0); + if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - result_ulength < 0)) + goto overflow; + char_pos = 0; + for (i=0; i < value_count; i++) { + int ukind; + Py_ssize_t ulength; + void *udata; + PyObject *uval = values[i]; + #if !CYTHON_COMPILING_IN_LIMITED_API + if (__Pyx_PyUnicode_READY(uval) == (-1)) + goto bad; + #endif + ulength = __Pyx_PyUnicode_GET_LENGTH(uval); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(ulength < 0)) goto bad; + #endif + if (unlikely(!ulength)) + continue; + if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - ulength < char_pos)) + goto overflow; + ukind = __Pyx_PyUnicode_KIND(uval); + udata = __Pyx_PyUnicode_DATA(uval); + if (ukind == result_ukind) { + memcpy((char *)result_udata + (char_pos << kind_shift), udata, (size_t) (ulength << kind_shift)); + } else { + #if PY_VERSION_HEX >= 0x030d0000 + if (unlikely(PyUnicode_CopyCharacters(result_uval, char_pos, uval, 0, ulength) < 0)) goto bad; + #elif CYTHON_COMPILING_IN_CPYTHON || defined(_PyUnicode_FastCopyCharacters) + _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); + #else + Py_ssize_t j; + for (j=0; j < ulength; j++) { + Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); + __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); + } + #endif + } + char_pos += ulength; + } + return result_uval; +overflow: + PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); +bad: + Py_DECREF(result_uval); + return NULL; +#else + Py_ssize_t i; + PyObject *result = NULL; + PyObject *value_tuple = PyTuple_New(value_count); + if (unlikely(!value_tuple)) return NULL; + CYTHON_UNUSED_VAR(max_char); + CYTHON_UNUSED_VAR(result_ulength); + for (i=0; i__pyx_empty_unicode, value_tuple); +bad: + Py_DECREF(value_tuple); + return result; +#endif +} + +/* GetAttr */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { +#if CYTHON_USE_TYPE_SLOTS + if (likely(PyUnicode_Check(n))) + return __Pyx_PyObject_GetAttrStr(o, n); +#endif + return PyObject_GetAttr(o, n); +} + +/* GetItemInt */ +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { + PyObject *r; + if (unlikely(!j)) return NULL; + r = PyObject_GetItem(o, j); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck, int unsafe_shared) { + CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); +#if CYTHON_ASSUME_SAFE_SIZE + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyList_GET_SIZE(o); + } + if ((CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS)) { + return __Pyx_PyList_GetItemRefFast(o, wrapped_i, unsafe_shared); + } else + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { + return __Pyx_NewRef(PyList_GET_ITEM(o, wrapped_i)); + } + return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); +#else + (void)wraparound; + (void)boundscheck; + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck, int unsafe_shared) { + CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); +#if CYTHON_ASSUME_SAFE_SIZE && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyTuple_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { + return __Pyx_NewRef(PyTuple_GET_ITEM(o, wrapped_i)); + } + return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); +#else + (void)wraparound; + (void)boundscheck; + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, + int wraparound, int boundscheck, int unsafe_shared) { + CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); +#if CYTHON_ASSUME_SAFE_MACROS && CYTHON_ASSUME_SAFE_SIZE + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS)) { + return __Pyx_PyList_GetItemRefFast(o, n, unsafe_shared); + } else if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { + return __Pyx_NewRef(PyList_GET_ITEM(o, n)); + } + } else + #if !CYTHON_AVOID_BORROWED_REFS + if (PyTuple_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + return __Pyx_NewRef(PyTuple_GET_ITEM(o, n)); + } + } else + #endif +#endif +#if CYTHON_USE_TYPE_SLOTS && !CYTHON_COMPILING_IN_PYPY + { + PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; + PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; + if (!is_list && mm && mm->mp_subscript) { + PyObject *r, *key = PyLong_FromSsize_t(i); + if (unlikely(!key)) return NULL; + r = mm->mp_subscript(o, key); + Py_DECREF(key); + return r; + } + if (is_list || likely(sm && sm->sq_item)) { + if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { + Py_ssize_t l = sm->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return NULL; + PyErr_Clear(); + } + } + return sm->sq_item(o, i); + } + } +#else + if (is_list || !PyMapping_Check(o)) { + return PySequence_GetItem(o, i); + } +#endif + (void)wraparound; + (void)boundscheck; + return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); +} + +/* ObjectGetItem */ +#if CYTHON_USE_TYPE_SLOTS +static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject *index) { + PyObject *runerr = NULL; + Py_ssize_t key_value; + key_value = __Pyx_PyIndex_AsSsize_t(index); + if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { + return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1, 1); + } + if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { + __Pyx_TypeName index_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(index)); + PyErr_Clear(); + PyErr_Format(PyExc_IndexError, + "cannot fit '" __Pyx_FMT_TYPENAME "' into an index-sized integer", index_type_name); + __Pyx_DECREF_TypeName(index_type_name); + } + return NULL; +} +static PyObject *__Pyx_PyObject_GetItem_Slow(PyObject *obj, PyObject *key) { + __Pyx_TypeName obj_type_name; + if (likely(PyType_Check(obj))) { + PyObject *meth = __Pyx_PyObject_GetAttrStrNoError(obj, __pyx_mstate_global->__pyx_n_u_class_getitem); + if (!meth) { + PyErr_Clear(); + } else { + PyObject *result = __Pyx_PyObject_CallOneArg(meth, key); + Py_DECREF(meth); + return result; + } + } + obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); + PyErr_Format(PyExc_TypeError, + "'" __Pyx_FMT_TYPENAME "' object is not subscriptable", obj_type_name); + __Pyx_DECREF_TypeName(obj_type_name); + return NULL; +} +static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key) { + PyTypeObject *tp = Py_TYPE(obj); + PyMappingMethods *mm = tp->tp_as_mapping; + PySequenceMethods *sm = tp->tp_as_sequence; + if (likely(mm && mm->mp_subscript)) { + return mm->mp_subscript(obj, key); + } + if (likely(sm && sm->sq_item)) { + return __Pyx_PyObject_GetIndex(obj, key); + } + return __Pyx_PyObject_GetItem_Slow(obj, key); +} +#endif + +/* RejectKeywords */ +static void __Pyx_RejectKeywords(const char* function_name, PyObject *kwds) { + PyObject *key = NULL; + if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds))) { + key = __Pyx_PySequence_ITEM(kwds, 0); + } else { +#if CYTHON_AVOID_BORROWED_REFS + PyObject *pos = NULL; +#else + Py_ssize_t pos = 0; +#endif +#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) + if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return; +#endif + __Pyx_PyDict_NextRef(kwds, &pos, &key, NULL); +#if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(pos); +#endif + } + if (likely(key)) { + PyErr_Format(PyExc_TypeError, + "%s() got an unexpected keyword argument '%U'", + function_name, key); + Py_DECREF(key); + } +} + +/* DivInt[Py_ssize_t] */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b, int b_is_constant) { + Py_ssize_t q = a / b; + Py_ssize_t r = a - q*b; + Py_ssize_t adapt_python = (b_is_constant ? + ((r != 0) & ((r < 0) ^ (b < 0))) : + ((r != 0) & ((r ^ b) < 0)) + ); + return q - adapt_python; +} + +/* GetAttr3 */ +#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 +static PyObject *__Pyx_GetAttr3Default(PyObject *d) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + __Pyx_PyErr_Clear(); + Py_INCREF(d); + return d; +} +#endif +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { + PyObject *r; +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + int res = PyObject_GetOptionalAttr(o, n, &r); + return (res != 0) ? r : __Pyx_NewRef(d); +#else + #if CYTHON_USE_TYPE_SLOTS + if (likely(PyUnicode_Check(n))) { + r = __Pyx_PyObject_GetAttrStrNoError(o, n); + if (unlikely(!r) && likely(!PyErr_Occurred())) { + r = __Pyx_NewRef(d); + } + return r; + } + #endif + r = PyObject_GetAttr(o, n); + return (likely(r)) ? r : __Pyx_GetAttr3Default(d); +#endif +} + +/* PyDictVersioning (used by GetModuleGlobalName) */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if CYTHON_COMPILING_IN_LIMITED_API + if (unlikely(!__pyx_m)) { + if (!PyErr_Occurred()) + PyErr_SetNone(PyExc_NameError); + return NULL; + } + result = PyObject_GetAttr(__pyx_m, name); + if (likely(result)) { + return result; + } + PyErr_Clear(); +#elif CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + if (unlikely(__Pyx_PyDict_GetItemRef(__pyx_mstate_global->__pyx_d, name, &result) == -1)) PyErr_Clear(); + __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return result; + } +#else + result = _PyDict_GetItem_KnownHash(__pyx_mstate_global->__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + +/* RaiseTooManyValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { + PyErr_Format(PyExc_ValueError, + "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); +} + +/* RaiseNeedMoreValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + PyErr_Format(PyExc_ValueError, + "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", + index, (index == 1) ? "" : "s"); +} + +/* RaiseNoneIterError */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); +} + +/* ExtTypeTest */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + __Pyx_TypeName obj_type_name; + __Pyx_TypeName type_name; + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (likely(__Pyx_TypeCheck(obj, type))) + return 1; + obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); + type_name = __Pyx_PyType_GetFullyQualifiedName(type); + PyErr_Format(PyExc_TypeError, + "Cannot convert " __Pyx_FMT_TYPENAME " to " __Pyx_FMT_TYPENAME, + obj_type_name, type_name); + __Pyx_DECREF_TypeName(obj_type_name); + __Pyx_DECREF_TypeName(type_name); + return 0; +} + +/* GetTopmostException (used by SaveResetException) */ +#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE +static _PyErr_StackItem * +__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) +{ + _PyErr_StackItem *exc_info = tstate->exc_info; + while ((exc_info->exc_value == NULL || exc_info->exc_value == Py_None) && + exc_info->previous_item != NULL) + { + exc_info = exc_info->previous_item; + } + return exc_info; +} +#endif + +/* SaveResetException */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + PyObject *exc_value = exc_info->exc_value; + if (exc_value == NULL || exc_value == Py_None) { + *value = NULL; + *type = NULL; + *tb = NULL; + } else { + *value = exc_value; + Py_INCREF(*value); + *type = (PyObject*) Py_TYPE(exc_value); + Py_INCREF(*type); + *tb = PyException_GetTraceback(exc_value); + } + #elif CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + *type = exc_info->exc_type; + *value = exc_info->exc_value; + *tb = exc_info->exc_traceback; + Py_XINCREF(*type); + Py_XINCREF(*value); + Py_XINCREF(*tb); + #else + *type = tstate->exc_type; + *value = tstate->exc_value; + *tb = tstate->exc_traceback; + Py_XINCREF(*type); + Py_XINCREF(*value); + Py_XINCREF(*tb); + #endif +} +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 + _PyErr_StackItem *exc_info = tstate->exc_info; + PyObject *tmp_value = exc_info->exc_value; + exc_info->exc_value = value; + Py_XDECREF(tmp_value); + Py_XDECREF(type); + Py_XDECREF(tb); + #else + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = type; + exc_info->exc_value = value; + exc_info->exc_traceback = tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = type; + tstate->exc_value = value; + tstate->exc_traceback = tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); + #endif +} +#endif + +/* GetException */ +#if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) +#endif +{ + PyObject *local_type = NULL, *local_value, *local_tb = NULL; +#if CYTHON_FAST_THREAD_STATE + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if PY_VERSION_HEX >= 0x030C0000 + local_value = tstate->current_exception; + tstate->current_exception = 0; + #else + local_type = tstate->curexc_type; + local_value = tstate->curexc_value; + local_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; + #endif +#elif __PYX_LIMITED_VERSION_HEX > 0x030C0000 + local_value = PyErr_GetRaisedException(); +#else + PyErr_Fetch(&local_type, &local_value, &local_tb); +#endif +#if __PYX_LIMITED_VERSION_HEX > 0x030C0000 + if (likely(local_value)) { + local_type = (PyObject*) Py_TYPE(local_value); + Py_INCREF(local_type); + local_tb = PyException_GetTraceback(local_value); + } +#else + PyErr_NormalizeException(&local_type, &local_value, &local_tb); +#if CYTHON_FAST_THREAD_STATE + if (unlikely(tstate->curexc_type)) +#else + if (unlikely(PyErr_Occurred())) +#endif + goto bad; + if (local_tb) { + if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) + goto bad; + } +#endif // __PYX_LIMITED_VERSION_HEX > 0x030C0000 + Py_XINCREF(local_tb); + Py_XINCREF(local_type); + Py_XINCREF(local_value); + *type = local_type; + *value = local_value; + *tb = local_tb; +#if CYTHON_FAST_THREAD_STATE + #if CYTHON_USE_EXC_INFO_STACK + { + _PyErr_StackItem *exc_info = tstate->exc_info; + #if PY_VERSION_HEX >= 0x030B00a4 + tmp_value = exc_info->exc_value; + exc_info->exc_value = local_value; + tmp_type = NULL; + tmp_tb = NULL; + Py_XDECREF(local_type); + Py_XDECREF(local_tb); + #else + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; + #endif + } + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = local_type; + tstate->exc_value = local_value; + tstate->exc_traceback = local_tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +#elif __PYX_LIMITED_VERSION_HEX >= 0x030b0000 + PyErr_SetHandledException(local_value); + Py_XDECREF(local_value); + Py_XDECREF(local_type); + Py_XDECREF(local_tb); +#else + PyErr_SetExcInfo(local_type, local_value, local_tb); +#endif + return 0; +#if __PYX_LIMITED_VERSION_HEX <= 0x030C0000 +bad: + *type = 0; + *value = 0; + *tb = 0; + Py_XDECREF(local_type); + Py_XDECREF(local_value); + Py_XDECREF(local_tb); + return -1; +#endif +} + +/* SwapException */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_value = exc_info->exc_value; + exc_info->exc_value = *value; + if (tmp_value == NULL || tmp_value == Py_None) { + Py_XDECREF(tmp_value); + tmp_value = NULL; + tmp_type = NULL; + tmp_tb = NULL; + } else { + tmp_type = (PyObject*) Py_TYPE(tmp_value); + Py_INCREF(tmp_type); + #if CYTHON_COMPILING_IN_CPYTHON + tmp_tb = ((PyBaseExceptionObject*) tmp_value)->traceback; + Py_XINCREF(tmp_tb); + #else + tmp_tb = PyException_GetTraceback(tmp_value); + #endif + } + #elif CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = *type; + exc_info->exc_value = *value; + exc_info->exc_traceback = *tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = *type; + tstate->exc_value = *value; + tstate->exc_traceback = *tb; + #endif + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); + PyErr_SetExcInfo(*type, *value, *tb); + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#endif + +/* HasAttr (used by ImportImpl) */ +#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { + PyObject *r; + if (unlikely(!PyUnicode_Check(n))) { + PyErr_SetString(PyExc_TypeError, + "hasattr(): attribute name must be string"); + return -1; + } + r = __Pyx_PyObject_GetAttrStrNoError(o, n); + if (!r) { + return (unlikely(PyErr_Occurred())) ? -1 : 0; + } else { + Py_DECREF(r); + return 1; + } +} +#endif + +/* ImportImpl (used by Import) */ +static int __Pyx__Import_GetModule(PyObject *qualname, PyObject **module) { + PyObject *imported_module = PyImport_GetModule(qualname); + if (unlikely(!imported_module)) { + *module = NULL; + if (PyErr_Occurred()) { + return -1; + } + return 0; + } + *module = imported_module; + return 1; +} +static int __Pyx__Import_Lookup(PyObject *qualname, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject **module) { + PyObject *imported_module; + PyObject *top_level_package_name; + Py_ssize_t i; + int status, module_found; + Py_ssize_t dot_index; + module_found = __Pyx__Import_GetModule(qualname, &imported_module); + if (unlikely(!module_found || module_found == -1)) { + *module = NULL; + return module_found; + } + if (imported_names) { + for (i = 0; i < len_imported_names; i++) { + PyObject *imported_name = imported_names[i]; +#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 + int has_imported_attribute = PyObject_HasAttr(imported_module, imported_name); +#else + int has_imported_attribute = PyObject_HasAttrWithError(imported_module, imported_name); + if (unlikely(has_imported_attribute == -1)) goto error; +#endif + if (!has_imported_attribute) { + goto not_found; + } + } + *module = imported_module; + return 1; + } + dot_index = PyUnicode_FindChar(qualname, '.', 0, PY_SSIZE_T_MAX, 1); + if (dot_index == -1) { + *module = imported_module; + return 1; + } + if (unlikely(dot_index == -2)) goto error; + top_level_package_name = PyUnicode_Substring(qualname, 0, dot_index); + if (unlikely(!top_level_package_name)) goto error; + Py_DECREF(imported_module); + status = __Pyx__Import_GetModule(top_level_package_name, module); + Py_DECREF(top_level_package_name); + return status; +error: + Py_DECREF(imported_module); + *module = NULL; + return -1; +not_found: + Py_DECREF(imported_module); + *module = NULL; + return 0; +} +static PyObject *__Pyx__Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, PyObject *moddict, int level) { + PyObject *module = 0; + PyObject *empty_dict = 0; + PyObject *from_list = 0; + int module_found; + if (!qualname) { + qualname = name; + } + module_found = __Pyx__Import_Lookup(qualname, imported_names, len_imported_names, &module); + if (likely(module_found == 1)) { + return module; + } else if (unlikely(module_found == -1)) { + return NULL; + } + empty_dict = PyDict_New(); + if (unlikely(!empty_dict)) + goto bad; + if (imported_names) { +#if CYTHON_COMPILING_IN_CPYTHON + from_list = __Pyx_PyList_FromArray(imported_names, len_imported_names); + if (unlikely(!from_list)) + goto bad; +#else + from_list = PyList_New(len_imported_names); + if (unlikely(!from_list)) goto bad; + for (Py_ssize_t i=0; i__pyx_d, level); +} + +/* FastTypeChecks */ +#if CYTHON_COMPILING_IN_CPYTHON +static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { + while (a) { + a = __Pyx_PyType_GetSlot(a, tp_base, PyTypeObject*); + if (a == b) + return 1; + } + return b == &PyBaseObject_Type; +} +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (a == b) return 1; + mro = a->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(a, b); +} +static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (cls == a || cls == b) return 1; + mro = cls->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + PyObject *base = PyTuple_GET_ITEM(mro, i); + if (base == (PyObject *)a || base == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(cls, a) || __Pyx_InBases(cls, b); +} +static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { + if (exc_type1) { + return __Pyx_IsAnySubtype2((PyTypeObject*)err, (PyTypeObject*)exc_type1, (PyTypeObject*)exc_type2); + } else { + return __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); + } +} +static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + assert(PyExceptionClass_Check(exc_type)); + n = PyTuple_GET_SIZE(tuple); + for (i=0; itp_as_sequence && type->tp_as_sequence->sq_repeat)) { + return type->tp_as_sequence->sq_repeat(seq, mul); + } else { + return __Pyx_PySequence_Multiply_Generic(seq, mul); + } +} +#endif + +/* PyObjectFormatAndDecref */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f) { + if (unlikely(!s)) return NULL; + if (likely(PyUnicode_CheckExact(s))) return s; + return __Pyx_PyObject_FormatAndDecref(s, f); +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f) { + PyObject *result; + if (unlikely(!s)) return NULL; + result = PyObject_Format(s, f); + Py_DECREF(s); + return result; +} + +/* PyObjectFormat */ +#if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* obj, PyObject* format_spec) { + int ret; + _PyUnicodeWriter writer; + if (likely(PyFloat_CheckExact(obj))) { + _PyUnicodeWriter_Init(&writer); + ret = _PyFloat_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else if (likely(PyLong_CheckExact(obj))) { + _PyUnicodeWriter_Init(&writer); + ret = _PyLong_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else { + return PyObject_Format(obj, format_spec); + } + if (unlikely(ret == -1)) { + _PyUnicodeWriter_Dealloc(&writer); + return NULL; + } + return _PyUnicodeWriter_Finish(&writer); +} +#endif + +/* SetItemInt */ +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { + int r; + if (unlikely(!j)) return -1; + r = PyObject_SetItem(o, j, v); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, + int wraparound, int boundscheck, int unsafe_shared) { + CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); +#if CYTHON_ASSUME_SAFE_MACROS && CYTHON_ASSUME_SAFE_SIZE && !CYTHON_AVOID_BORROWED_REFS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); + if ((CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS && !__Pyx_IS_UNIQUELY_REFERENCED(o, unsafe_shared))) { + Py_INCREF(v); + return PyList_SetItem(o, n, v); + } else if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { + PyObject* old; + Py_INCREF(v); + old = PyList_GET_ITEM(o, n); + PyList_SET_ITEM(o, n, v); + Py_DECREF(old); + return 0; + } + } else +#endif +#if CYTHON_USE_TYPE_SLOTS && !CYTHON_COMPILING_IN_PYPY + { + PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; + PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; + if (!is_list && mm && mm->mp_ass_subscript) { + int r; + PyObject *key = PyLong_FromSsize_t(i); + if (unlikely(!key)) return -1; + r = mm->mp_ass_subscript(o, key, v); + Py_DECREF(key); + return r; + } + if (is_list || likely(sm && sm->sq_ass_item)) { + if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { + Py_ssize_t l = sm->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return -1; + PyErr_Clear(); + } + } + return sm->sq_ass_item(o, i, v); + } + } +#else + if (is_list || !PyMapping_Check(o)) { + return PySequence_SetItem(o, i, v); + } +#endif + (void)wraparound; + (void)boundscheck; + return __Pyx_SetItemInt_Generic(o, PyLong_FromSsize_t(i), v); +} + +/* RaiseUnboundLocalError */ +static void __Pyx_RaiseUnboundLocalError(const char *varname) { + PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); +} + +/* DivInt[long] */ +static CYTHON_INLINE long __Pyx_div_long(long a, long b, int b_is_constant) { + long q = a / b; + long r = a - q*b; + long adapt_python = (b_is_constant ? + ((r != 0) & ((r < 0) ^ (b < 0))) : + ((r != 0) & ((r ^ b) < 0)) + ); + return q - adapt_python; +} + +/* ReleaseUnknownGil */ +static __Pyx_UnknownThreadState __Pyx_SaveUnknownThread(void) { +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 + if (__Pyx_get_runtime_version() >= 0x030d0000) { + PyThreadState *ts = PyThreadState_Swap(NULL); + __Pyx_UnknownThreadState out = { ts, PyGILState_UNLOCKED }; + return out; + } else { + PyGILState_STATE gil_state = PyGILState_Ensure(); + PyThreadState *ts = PyEval_SaveThread(); + __Pyx_UnknownThreadState out = { ts, gil_state }; + return out; + } +#elif __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + return PyThreadState_Swap(NULL); +#else + #if CYTHON_COMPILING_IN_PYPY || PY_VERSION_HEX < 0x030C0000 + if (PyGILState_Check()) + #else + if (_PyThreadState_UncheckedGet()) // UncheckedGet is a reliable check for the GIL from 3.12 upwards + #endif + { + return PyEval_SaveThread(); + } + return NULL; // Nothing to release - we don't have the GIL +#endif +} +static void __Pyx_RestoreUnknownThread(__Pyx_UnknownThreadState state) { +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 + if (!state.ts) return; + PyEval_RestoreThread(state.ts); + if (__Pyx_get_runtime_version() < 0x030d0000) { + PyGILState_Release(state.gil_state); + } +#else + if (state) { + PyEval_RestoreThread(state); + } +#endif +} +static CYTHON_INLINE int __Pyx_UnknownThreadStateDefinitelyHadGil(__Pyx_UnknownThreadState state) { + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 + return ((state.ts != NULL) && (__Pyx_get_runtime_version() >= 0x030d0000)); + #else + return state != NULL; + #endif +} +static CYTHON_INLINE int __Pyx_UnknownThreadStateMayHaveHadGil(__Pyx_UnknownThreadState state) { + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 + return state.ts != NULL; + #else + return state != NULL; + #endif +} + +/* ErrOccurredWithGIL */ +static CYTHON_INLINE int __Pyx_ErrOccurredWithGIL(void) { + int err; + PyGILState_STATE _save = PyGILState_Ensure(); + err = !!PyErr_Occurred(); + PyGILState_Release(_save); + return err; +} + +/* AllocateExtensionType */ +static PyObject *__Pyx_AllocateExtensionType(PyTypeObject *t, int is_final) { + if (is_final || likely(!__Pyx_PyType_HasFeature(t, Py_TPFLAGS_IS_ABSTRACT))) { + allocfunc alloc_func = __Pyx_PyType_GetSlot(t, tp_alloc, allocfunc); + return alloc_func(t, 0); + } else { + newfunc tp_new = __Pyx_PyType_TryGetSlot(&PyBaseObject_Type, tp_new, newfunc); + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 + if (!tp_new) { + PyObject *new_str = PyUnicode_FromString("__new__"); + if (likely(new_str)) { + PyObject *o = PyObject_CallMethodObjArgs((PyObject *)&PyBaseObject_Type, new_str, t, NULL); + Py_DECREF(new_str); + return o; + } else + return NULL; + } else + #endif + return tp_new(t, __pyx_mstate_global->__pyx_empty_tuple, 0); + } +} + +/* CallTypeTraverse */ +#if !CYTHON_USE_TYPE_SPECS || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x03090000) +#else +static int __Pyx_call_type_traverse(PyObject *o, int always_call, visitproc visit, void *arg) { + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x03090000 + if (__Pyx_get_runtime_version() < 0x03090000) return 0; + #endif + if (!always_call) { + PyTypeObject *base = __Pyx_PyObject_GetSlot(o, tp_base, PyTypeObject*); + unsigned long flags = PyType_GetFlags(base); + if (flags & Py_TPFLAGS_HEAPTYPE) { + return 0; + } + } + Py_VISIT((PyObject*)Py_TYPE(o)); + return 0; +} +#endif + +/* LimitedApiGetTypeDict (used by SetItemOnTypeDict) */ +#if CYTHON_COMPILING_IN_LIMITED_API +static Py_ssize_t __Pyx_GetTypeDictOffset(void) { + PyObject *tp_dictoffset_o; + Py_ssize_t tp_dictoffset; + tp_dictoffset_o = PyObject_GetAttrString((PyObject*)(&PyType_Type), "__dictoffset__"); + if (unlikely(!tp_dictoffset_o)) return -1; + tp_dictoffset = PyLong_AsSsize_t(tp_dictoffset_o); + Py_DECREF(tp_dictoffset_o); + if (unlikely(tp_dictoffset == 0)) { + PyErr_SetString( + PyExc_TypeError, + "'type' doesn't have a dictoffset"); + return -1; + } else if (unlikely(tp_dictoffset < 0)) { + PyErr_SetString( + PyExc_TypeError, + "'type' has an unexpected negative dictoffset. " + "Please report this as Cython bug"); + return -1; + } + return tp_dictoffset; +} +static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp) { + static Py_ssize_t tp_dictoffset = 0; + if (unlikely(tp_dictoffset == 0)) { + tp_dictoffset = __Pyx_GetTypeDictOffset(); + if (unlikely(tp_dictoffset == -1 && PyErr_Occurred())) { + tp_dictoffset = 0; // try again next time? + return NULL; + } + } + return *(PyObject**)((char*)tp + tp_dictoffset); +} +#endif + +/* SetItemOnTypeDict (used by FixUpExtensionType) */ +static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v) { + int result; + PyObject *tp_dict; +#if CYTHON_COMPILING_IN_LIMITED_API + tp_dict = __Pyx_GetTypeDict(tp); + if (unlikely(!tp_dict)) return -1; +#else + tp_dict = tp->tp_dict; +#endif + result = PyDict_SetItem(tp_dict, k, v); + if (likely(!result)) { + PyType_Modified(tp); + if (unlikely(PyObject_HasAttr(v, __pyx_mstate_global->__pyx_n_u_set_name))) { + PyObject *setNameResult = PyObject_CallMethodObjArgs(v, __pyx_mstate_global->__pyx_n_u_set_name, (PyObject *) tp, k, NULL); + if (!setNameResult) return -1; + Py_DECREF(setNameResult); + } + } + return result; +} + +/* FixUpExtensionType */ +static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { +#if __PYX_LIMITED_VERSION_HEX > 0x030900B1 + CYTHON_UNUSED_VAR(spec); + CYTHON_UNUSED_VAR(type); + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); +#else + const PyType_Slot *slot = spec->slots; + int changed = 0; +#if !CYTHON_COMPILING_IN_LIMITED_API + while (slot && slot->slot && slot->slot != Py_tp_members) + slot++; + if (slot && slot->slot == Py_tp_members) { +#if !CYTHON_COMPILING_IN_CPYTHON + const +#endif // !CYTHON_COMPILING_IN_CPYTHON) + PyMemberDef *memb = (PyMemberDef*) slot->pfunc; + while (memb && memb->name) { + if (memb->name[0] == '_' && memb->name[1] == '_') { + if (strcmp(memb->name, "__weaklistoffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_weaklistoffset = memb->offset; + changed = 1; + } + else if (strcmp(memb->name, "__dictoffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_dictoffset = memb->offset; + changed = 1; + } +#if CYTHON_METH_FASTCALL + else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_vectorcall_offset = memb->offset; + changed = 1; + } +#endif // CYTHON_METH_FASTCALL +#if !CYTHON_COMPILING_IN_PYPY + else if (strcmp(memb->name, "__module__") == 0) { + PyObject *descr; + assert(memb->type == T_OBJECT); + assert(memb->flags == 0 || memb->flags == READONLY); + descr = PyDescr_NewMember(type, memb); + if (unlikely(!descr)) + return -1; + int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); + Py_DECREF(descr); + if (unlikely(set_item_result < 0)) { + return -1; + } + changed = 1; + } +#endif // !CYTHON_COMPILING_IN_PYPY + } + memb++; + } + } +#endif // !CYTHON_COMPILING_IN_LIMITED_API +#if !CYTHON_COMPILING_IN_PYPY + slot = spec->slots; + while (slot && slot->slot && slot->slot != Py_tp_getset) + slot++; + if (slot && slot->slot == Py_tp_getset) { + PyGetSetDef *getset = (PyGetSetDef*) slot->pfunc; + while (getset && getset->name) { + if (getset->name[0] == '_' && getset->name[1] == '_' && strcmp(getset->name, "__module__") == 0) { + PyObject *descr = PyDescr_NewGetSet(type, getset); + if (unlikely(!descr)) + return -1; + #if CYTHON_COMPILING_IN_LIMITED_API + PyObject *pyname = PyUnicode_FromString(getset->name); + if (unlikely(!pyname)) { + Py_DECREF(descr); + return -1; + } + int set_item_result = __Pyx_SetItemOnTypeDict(type, pyname, descr); + Py_DECREF(pyname); + #else + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); + int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); + #endif + Py_DECREF(descr); + if (unlikely(set_item_result < 0)) { + return -1; + } + changed = 1; + } + ++getset; + } + } +#else + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); +#endif // !CYTHON_COMPILING_IN_PYPY + if (changed) + PyType_Modified(type); +#endif // PY_VERSION_HEX > 0x030900B1 + return 0; +} + +/* PyObjectCallNoArg (used by PyObjectCallMethod0) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { + PyObject *arg[2] = {NULL, NULL}; + return __Pyx_PyObject_FastCall(func, arg + 1, 0 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); +} + +/* PyObjectGetMethod (used by PyObjectCallMethod0) */ +#if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { + PyObject *attr; +#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP + __Pyx_TypeName type_name; + PyTypeObject *tp = Py_TYPE(obj); + PyObject *descr; + descrgetfunc f = NULL; + PyObject **dictptr, *dict; + int meth_found = 0; + assert (*method == NULL); + if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; + } + if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { + return 0; + } + descr = _PyType_Lookup(tp, name); + if (likely(descr != NULL)) { + Py_INCREF(descr); +#if defined(Py_TPFLAGS_METHOD_DESCRIPTOR) && Py_TPFLAGS_METHOD_DESCRIPTOR + if (__Pyx_PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_METHOD_DESCRIPTOR)) +#else + #ifdef __Pyx_CyFunction_USED + if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) + #else + if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type))) + #endif +#endif + { + meth_found = 1; + } else { + f = Py_TYPE(descr)->tp_descr_get; + if (f != NULL && PyDescr_IsData(descr)) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + } + } + dictptr = _PyObject_GetDictPtr(obj); + if (dictptr != NULL && (dict = *dictptr) != NULL) { + Py_INCREF(dict); + attr = __Pyx_PyDict_GetItemStr(dict, name); + if (attr != NULL) { + Py_INCREF(attr); + Py_DECREF(dict); + Py_XDECREF(descr); + goto try_unpack; + } + Py_DECREF(dict); + } + if (meth_found) { + *method = descr; + return 1; + } + if (f != NULL) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + if (likely(descr != NULL)) { + *method = descr; + return 0; + } + type_name = __Pyx_PyType_GetFullyQualifiedName(tp); + PyErr_Format(PyExc_AttributeError, + "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", + type_name, name); + __Pyx_DECREF_TypeName(type_name); + return 0; +#else + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; +#endif +try_unpack: +#if CYTHON_UNPACK_METHODS + if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { + PyObject *function = PyMethod_GET_FUNCTION(attr); + Py_INCREF(function); + Py_DECREF(attr); + *method = function; + return 1; + } +#endif + *method = attr; + return 0; +} +#endif + +/* PyObjectCallMethod0 (used by PyType_Ready) */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { +#if CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000)) + PyObject *args[1] = {obj}; + (void) __Pyx_PyObject_CallOneArg; + (void) __Pyx_PyObject_CallNoArg; + return PyObject_VectorcallMethod(method_name, args, 1 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); +#else + PyObject *method = NULL, *result = NULL; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_CallOneArg(method, obj); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) goto bad; + result = __Pyx_PyObject_CallNoArg(method); + Py_DECREF(method); +bad: + return result; +#endif +} + +/* ValidateBasesTuple (used by PyType_Ready) */ +#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS +static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) { + Py_ssize_t i, n; +#if CYTHON_ASSUME_SAFE_SIZE + n = PyTuple_GET_SIZE(bases); +#else + n = PyTuple_Size(bases); + if (unlikely(n < 0)) return -1; +#endif + for (i = 1; i < n; i++) + { + PyTypeObject *b; +#if CYTHON_AVOID_BORROWED_REFS + PyObject *b0 = PySequence_GetItem(bases, i); + if (!b0) return -1; +#elif CYTHON_ASSUME_SAFE_MACROS + PyObject *b0 = PyTuple_GET_ITEM(bases, i); +#else + PyObject *b0 = PyTuple_GetItem(bases, i); + if (!b0) return -1; +#endif + b = (PyTypeObject*) b0; + if (!__Pyx_PyType_HasFeature(b, Py_TPFLAGS_HEAPTYPE)) + { + __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); + PyErr_Format(PyExc_TypeError, + "base class '" __Pyx_FMT_TYPENAME "' is not a heap type", b_name); + __Pyx_DECREF_TypeName(b_name); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + return -1; + } + if (dictoffset == 0) + { + Py_ssize_t b_dictoffset = 0; +#if CYTHON_USE_TYPE_SLOTS + b_dictoffset = b->tp_dictoffset; +#else + PyObject *py_b_dictoffset = PyObject_GetAttrString((PyObject*)b, "__dictoffset__"); + if (!py_b_dictoffset) goto dictoffset_return; + b_dictoffset = PyLong_AsSsize_t(py_b_dictoffset); + Py_DECREF(py_b_dictoffset); + if (b_dictoffset == -1 && PyErr_Occurred()) goto dictoffset_return; +#endif + if (b_dictoffset) { + { + __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); + PyErr_Format(PyExc_TypeError, + "extension type '%.200s' has no __dict__ slot, " + "but base type '" __Pyx_FMT_TYPENAME "' has: " + "either add 'cdef dict __dict__' to the extension type " + "or add '__slots__ = [...]' to the base type", + type_name, b_name); + __Pyx_DECREF_TypeName(b_name); + } +#if !CYTHON_USE_TYPE_SLOTS + dictoffset_return: +#endif +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + return -1; + } + } +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + } + return 0; +} +#endif + +/* PyType_Ready */ +CYTHON_UNUSED static int __Pyx_PyType_HasMultipleInheritance(PyTypeObject *t) { + while (t) { + PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); + if (bases) { + return 1; + } + t = __Pyx_PyType_GetSlot(t, tp_base, PyTypeObject*); + } + return 0; +} +static int __Pyx_PyType_Ready(PyTypeObject *t) { +#if CYTHON_USE_TYPE_SPECS || !CYTHON_COMPILING_IN_CPYTHON || defined(PYSTON_MAJOR_VERSION) + (void)__Pyx_PyObject_CallMethod0; +#if CYTHON_USE_TYPE_SPECS + (void)__Pyx_validate_bases_tuple; +#endif + return PyType_Ready(t); +#else + int r; + if (!__Pyx_PyType_HasMultipleInheritance(t)) { + return PyType_Ready(t); + } + PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); + if (bases && unlikely(__Pyx_validate_bases_tuple(t->tp_name, t->tp_dictoffset, bases) == -1)) + return -1; +#if !defined(PYSTON_MAJOR_VERSION) + { + int gc_was_enabled; + #if PY_VERSION_HEX >= 0x030A00b1 + gc_was_enabled = PyGC_Disable(); + (void)__Pyx_PyObject_CallMethod0; + #else + PyObject *ret, *py_status; + PyObject *gc = NULL; + #if (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM+0 >= 0x07030400) &&\ + !CYTHON_COMPILING_IN_GRAAL + gc = PyImport_GetModule(__pyx_mstate_global->__pyx_kp_u_gc); + #endif + if (unlikely(!gc)) gc = PyImport_Import(__pyx_mstate_global->__pyx_kp_u_gc); + if (unlikely(!gc)) return -1; + py_status = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_isenabled); + if (unlikely(!py_status)) { + Py_DECREF(gc); + return -1; + } + gc_was_enabled = __Pyx_PyObject_IsTrue(py_status); + Py_DECREF(py_status); + if (gc_was_enabled > 0) { + ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_disable); + if (unlikely(!ret)) { + Py_DECREF(gc); + return -1; + } + Py_DECREF(ret); + } else if (unlikely(gc_was_enabled == -1)) { + Py_DECREF(gc); + return -1; + } + #endif + t->tp_flags |= Py_TPFLAGS_HEAPTYPE; +#if PY_VERSION_HEX >= 0x030A0000 + t->tp_flags |= Py_TPFLAGS_IMMUTABLETYPE; +#endif +#else + (void)__Pyx_PyObject_CallMethod0; +#endif + r = PyType_Ready(t); +#if !defined(PYSTON_MAJOR_VERSION) + t->tp_flags &= ~Py_TPFLAGS_HEAPTYPE; + #if PY_VERSION_HEX >= 0x030A00b1 + if (gc_was_enabled) + PyGC_Enable(); + #else + if (gc_was_enabled) { + PyObject *tp, *v, *tb; + PyErr_Fetch(&tp, &v, &tb); + ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_enable); + if (likely(ret || r == -1)) { + Py_XDECREF(ret); + PyErr_Restore(tp, v, tb); + } else { + Py_XDECREF(tp); + Py_XDECREF(v); + Py_XDECREF(tb); + r = -1; + } + } + Py_DECREF(gc); + #endif + } +#endif + return r; +#endif +} + +/* SetVTable */ +static int __Pyx_SetVtable(PyTypeObject *type, void *vtable) { + PyObject *ob = PyCapsule_New(vtable, 0, 0); + if (unlikely(!ob)) + goto bad; +#if CYTHON_COMPILING_IN_LIMITED_API + if (unlikely(PyObject_SetAttr((PyObject *) type, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) +#else + if (unlikely(PyDict_SetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) +#endif + goto bad; + Py_DECREF(ob); + return 0; +bad: + Py_XDECREF(ob); + return -1; +} + +/* GetVTable (used by MergeVTables) */ +static void* __Pyx_GetVtable(PyTypeObject *type) { + void* ptr; +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *ob = PyObject_GetAttr((PyObject *)type, __pyx_mstate_global->__pyx_n_u_pyx_vtable); +#else + PyObject *ob = PyObject_GetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable); +#endif + if (!ob) + goto bad; + ptr = PyCapsule_GetPointer(ob, 0); + if (!ptr && !PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); + Py_DECREF(ob); + return ptr; +bad: + Py_XDECREF(ob); + return NULL; +} + +/* MergeVTables */ +static int __Pyx_MergeVtables(PyTypeObject *type) { + int i=0; + Py_ssize_t size; + void** base_vtables; + __Pyx_TypeName tp_base_name = NULL; + __Pyx_TypeName base_name = NULL; + void* unknown = (void*)-1; + PyObject* bases = __Pyx_PyType_GetSlot(type, tp_bases, PyObject*); + int base_depth = 0; + { + PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + while (base) { + base_depth += 1; + base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); + } + } + base_vtables = (void**) PyMem_Malloc(sizeof(void*) * (size_t)(base_depth + 1)); + base_vtables[0] = unknown; +#if CYTHON_COMPILING_IN_LIMITED_API + size = PyTuple_Size(bases); + if (size < 0) goto other_failure; +#else + size = PyTuple_GET_SIZE(bases); +#endif + for (i = 1; i < size; i++) { + PyObject *basei; + void* base_vtable; +#if CYTHON_AVOID_BORROWED_REFS + basei = PySequence_GetItem(bases, i); + if (unlikely(!basei)) goto other_failure; +#elif !CYTHON_ASSUME_SAFE_MACROS + basei = PyTuple_GetItem(bases, i); + if (unlikely(!basei)) goto other_failure; +#else + basei = PyTuple_GET_ITEM(bases, i); +#endif + base_vtable = __Pyx_GetVtable((PyTypeObject*)basei); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(basei); +#endif + if (base_vtable != NULL) { + int j; + PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + for (j = 0; j < base_depth; j++) { + if (base_vtables[j] == unknown) { + base_vtables[j] = __Pyx_GetVtable(base); + base_vtables[j + 1] = unknown; + } + if (base_vtables[j] == base_vtable) { + break; + } else if (base_vtables[j] == NULL) { + goto bad; + } + base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); + } + } + } + PyErr_Clear(); + PyMem_Free(base_vtables); + return 0; +bad: + { + PyTypeObject* basei = NULL; + PyTypeObject* tp_base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + tp_base_name = __Pyx_PyType_GetFullyQualifiedName(tp_base); +#if CYTHON_AVOID_BORROWED_REFS + basei = (PyTypeObject*)PySequence_GetItem(bases, i); + if (unlikely(!basei)) goto really_bad; +#elif !CYTHON_ASSUME_SAFE_MACROS + basei = (PyTypeObject*)PyTuple_GetItem(bases, i); + if (unlikely(!basei)) goto really_bad; +#else + basei = (PyTypeObject*)PyTuple_GET_ITEM(bases, i); +#endif + base_name = __Pyx_PyType_GetFullyQualifiedName(basei); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(basei); +#endif + } + PyErr_Format(PyExc_TypeError, + "multiple bases have vtable conflict: '" __Pyx_FMT_TYPENAME "' and '" __Pyx_FMT_TYPENAME "'", tp_base_name, base_name); +#if CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS +really_bad: // bad has failed! +#endif + __Pyx_DECREF_TypeName(tp_base_name); + __Pyx_DECREF_TypeName(base_name); +#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS +other_failure: +#endif + PyMem_Free(base_vtables); + return -1; +} + +/* DelItemOnTypeDict (used by SetupReduce) */ +static int __Pyx__DelItemOnTypeDict(PyTypeObject *tp, PyObject *k) { + int result; + PyObject *tp_dict; +#if CYTHON_COMPILING_IN_LIMITED_API + tp_dict = __Pyx_GetTypeDict(tp); + if (unlikely(!tp_dict)) return -1; +#else + tp_dict = tp->tp_dict; +#endif + result = PyDict_DelItem(tp_dict, k); + if (likely(!result)) PyType_Modified(tp); + return result; +} + +/* SetupReduce */ +static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { + int ret; + PyObject *name_attr; + name_attr = __Pyx_PyObject_GetAttrStrNoError(meth, __pyx_mstate_global->__pyx_n_u_name_2); + if (likely(name_attr)) { + ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); + } else { + ret = -1; + } + if (unlikely(ret < 0)) { + PyErr_Clear(); + ret = 0; + } + Py_XDECREF(name_attr); + return ret; +} +static int __Pyx_setup_reduce(PyObject* type_obj) { + int ret = 0; + PyObject *object_reduce = NULL; + PyObject *object_getstate = NULL; + PyObject *object_reduce_ex = NULL; + PyObject *reduce = NULL; + PyObject *reduce_ex = NULL; + PyObject *reduce_cython = NULL; + PyObject *setstate = NULL; + PyObject *setstate_cython = NULL; + PyObject *getstate = NULL; +#if CYTHON_USE_PYTYPE_LOOKUP + getstate = _PyType_Lookup((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_getstate); +#else + getstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_getstate); + if (!getstate && PyErr_Occurred()) { + goto __PYX_BAD; + } +#endif + if (getstate) { +#if CYTHON_USE_PYTYPE_LOOKUP + object_getstate = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_getstate); +#else + object_getstate = __Pyx_PyObject_GetAttrStrNoError((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_getstate); + if (!object_getstate && PyErr_Occurred()) { + goto __PYX_BAD; + } +#endif + if (object_getstate != getstate) { + goto __PYX_GOOD; + } + } +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#else + object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#endif + reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; + if (reduce_ex == object_reduce_ex) { +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce); if (!object_reduce) goto __PYX_BAD; +#else + object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce); if (!object_reduce) goto __PYX_BAD; +#endif + reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_mstate_global->__pyx_n_u_reduce); if (unlikely(!reduce)) goto __PYX_BAD; + if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_mstate_global->__pyx_n_u_reduce_cython)) { + reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_reduce_cython); + if (likely(reduce_cython)) { + ret = __Pyx_SetItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = __Pyx_DelItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (reduce == object_reduce || PyErr_Occurred()) { + goto __PYX_BAD; + } + setstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_setstate); + if (!setstate) PyErr_Clear(); + if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_mstate_global->__pyx_n_u_setstate_cython)) { + setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_setstate_cython); + if (likely(setstate_cython)) { + ret = __Pyx_SetItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = __Pyx_DelItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (!setstate || PyErr_Occurred()) { + goto __PYX_BAD; + } + } + PyType_Modified((PyTypeObject*)type_obj); + } + } + goto __PYX_GOOD; +__PYX_BAD: + if (!PyErr_Occurred()) { + __Pyx_TypeName type_obj_name = + __Pyx_PyType_GetFullyQualifiedName((PyTypeObject*)type_obj); + PyErr_Format(PyExc_RuntimeError, + "Unable to initialize pickling for " __Pyx_FMT_TYPENAME, type_obj_name); + __Pyx_DECREF_TypeName(type_obj_name); + } + ret = -1; +__PYX_GOOD: +#if !CYTHON_USE_PYTYPE_LOOKUP + Py_XDECREF(object_reduce); + Py_XDECREF(object_reduce_ex); + Py_XDECREF(object_getstate); + Py_XDECREF(getstate); +#endif + Py_XDECREF(reduce); + Py_XDECREF(reduce_ex); + Py_XDECREF(reduce_cython); + Py_XDECREF(setstate); + Py_XDECREF(setstate_cython); + return ret; +} + +/* dict_setdefault (used by FetchCommonType) */ +static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value) { + PyObject* value; +#if __PYX_LIMITED_VERSION_HEX >= 0x030F0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4) + PyDict_SetDefaultRef(d, key, default_value, &value); +#elif CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX >= 0x030C0000 + PyObject *args[] = {d, key, default_value}; + value = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_n_u_setdefault, args, 3 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); +#elif CYTHON_COMPILING_IN_LIMITED_API + value = PyObject_CallMethodObjArgs(d, __pyx_mstate_global->__pyx_n_u_setdefault, key, default_value, NULL); +#else + value = PyDict_SetDefault(d, key, default_value); + if (unlikely(!value)) return NULL; + Py_INCREF(value); +#endif + return value; +} + +/* AddModuleRef (used by FetchSharedCythonModule) */ +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + static PyObject *__Pyx_PyImport_AddModuleObjectRef(PyObject *name) { + PyObject *module_dict = PyImport_GetModuleDict(); + PyObject *m; + if (PyMapping_GetOptionalItem(module_dict, name, &m) < 0) { + return NULL; + } + if (m != NULL && PyModule_Check(m)) { + return m; + } + Py_XDECREF(m); + m = PyModule_NewObject(name); + if (m == NULL) + return NULL; + if (PyDict_CheckExact(module_dict)) { + PyObject *new_m; + (void)PyDict_SetDefaultRef(module_dict, name, m, &new_m); + Py_DECREF(m); + return new_m; + } else { + if (PyObject_SetItem(module_dict, name, m) != 0) { + Py_DECREF(m); + return NULL; + } + return m; + } + } + static PyObject *__Pyx_PyImport_AddModuleRef(const char *name) { + PyObject *py_name = PyUnicode_FromString(name); + if (!py_name) return NULL; + PyObject *module = __Pyx_PyImport_AddModuleObjectRef(py_name); + Py_DECREF(py_name); + return module; + } +#elif __PYX_LIMITED_VERSION_HEX >= 0x030d0000 + #define __Pyx_PyImport_AddModuleRef(name) PyImport_AddModuleRef(name) +#else + static PyObject *__Pyx_PyImport_AddModuleRef(const char *name) { + PyObject *module = PyImport_AddModule(name); + Py_XINCREF(module); + return module; + } +#endif + +/* FetchSharedCythonModule (used by FetchCommonType) */ +static PyObject *__Pyx_FetchSharedCythonABIModule(void) { + return __Pyx_PyImport_AddModuleRef(__PYX_ABI_MODULE_NAME); +} + +/* FetchCommonType (used by CommonTypesMetaclass) */ +#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 +static PyObject* __Pyx_PyType_FromMetaclass(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases) { + PyObject *result = __Pyx_PyType_FromModuleAndSpec(module, spec, bases); + if (result && metaclass) { + PyObject *old_tp = (PyObject*)Py_TYPE(result); + Py_INCREF((PyObject*)metaclass); +#if __PYX_LIMITED_VERSION_HEX >= 0x03090000 + Py_SET_TYPE(result, metaclass); +#else + result->ob_type = metaclass; +#endif + Py_DECREF(old_tp); + } + return result; +} +#else +#define __Pyx_PyType_FromMetaclass(me, mo, s, b) PyType_FromMetaclass(me, mo, s, b) +#endif +static int __Pyx_VerifyCachedType(PyObject *cached_type, + const char *name, + Py_ssize_t expected_basicsize) { + Py_ssize_t basicsize; + if (!PyType_Check(cached_type)) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s is not a type object", name); + return -1; + } + if (expected_basicsize == 0) { + return 0; // size is inherited, nothing useful to check + } +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *py_basicsize; + py_basicsize = PyObject_GetAttrString(cached_type, "__basicsize__"); + if (unlikely(!py_basicsize)) return -1; + basicsize = PyLong_AsSsize_t(py_basicsize); + Py_DECREF(py_basicsize); + py_basicsize = NULL; + if (unlikely(basicsize == (Py_ssize_t)-1) && PyErr_Occurred()) return -1; +#else + basicsize = ((PyTypeObject*) cached_type)->tp_basicsize; +#endif + if (basicsize != expected_basicsize) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s has the wrong size, try recompiling", + name); + return -1; + } + return 0; +} +static PyTypeObject *__Pyx_FetchCommonTypeFromSpec(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases) { + PyObject *abi_module = NULL, *cached_type = NULL, *abi_module_dict, *new_cached_type, *py_object_name; + int get_item_ref_result; + const char* object_name = strrchr(spec->name, '.'); + object_name = object_name ? object_name+1 : spec->name; + py_object_name = PyUnicode_FromString(object_name); + if (!py_object_name) return NULL; + abi_module = __Pyx_FetchSharedCythonABIModule(); + if (!abi_module) goto done; + abi_module_dict = PyModule_GetDict(abi_module); + if (!abi_module_dict) goto done; + get_item_ref_result = __Pyx_PyDict_GetItemRef(abi_module_dict, py_object_name, &cached_type); + if (get_item_ref_result == 1) { + if (__Pyx_VerifyCachedType( + cached_type, + object_name, + spec->basicsize) < 0) { + goto bad; + } + goto done; + } else if (unlikely(get_item_ref_result == -1)) { + goto bad; + } + cached_type = __Pyx_PyType_FromMetaclass( + metaclass, + CYTHON_USE_MODULE_STATE ? module : abi_module, + spec, bases); + if (unlikely(!cached_type)) goto bad; + if (unlikely(__Pyx_fix_up_extension_type_from_spec(spec, (PyTypeObject *) cached_type) < 0)) goto bad; + new_cached_type = __Pyx_PyDict_SetDefault(abi_module_dict, py_object_name, cached_type); + if (unlikely(new_cached_type != cached_type)) { + if (unlikely(!new_cached_type)) goto bad; + Py_DECREF(cached_type); + cached_type = new_cached_type; + if (__Pyx_VerifyCachedType( + cached_type, + object_name, + spec->basicsize) < 0) { + goto bad; + } + goto done; + } else { + Py_DECREF(new_cached_type); + } +done: + Py_XDECREF(abi_module); + Py_DECREF(py_object_name); + assert(cached_type == NULL || PyType_Check(cached_type)); + return (PyTypeObject *) cached_type; +bad: + Py_XDECREF(cached_type); + cached_type = NULL; + goto done; +} + +/* CommonTypesMetaclass (used by CythonFunctionShared) */ +static PyObject* __pyx_CommonTypesMetaclass_get_module(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED void* context) { + return PyUnicode_FromString(__PYX_ABI_MODULE_NAME); +} +#if __PYX_LIMITED_VERSION_HEX < 0x030A0000 +static PyObject* __pyx_CommonTypesMetaclass_call(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED PyObject *args, CYTHON_UNUSED PyObject *kwds) { + PyErr_SetString(PyExc_TypeError, "Cannot instantiate Cython internal types"); + return NULL; +} +static int __pyx_CommonTypesMetaclass_setattr(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED PyObject *attr, CYTHON_UNUSED PyObject *value) { + PyErr_SetString(PyExc_TypeError, "Cython internal types are immutable"); + return -1; +} +#endif +static PyGetSetDef __pyx_CommonTypesMetaclass_getset[] = { + {"__module__", __pyx_CommonTypesMetaclass_get_module, NULL, NULL, NULL}, + {0, 0, 0, 0, 0} +}; +static PyType_Slot __pyx_CommonTypesMetaclass_slots[] = { + {Py_tp_getset, (void *)__pyx_CommonTypesMetaclass_getset}, + #if __PYX_LIMITED_VERSION_HEX < 0x030A0000 + {Py_tp_call, (void*)__pyx_CommonTypesMetaclass_call}, + {Py_tp_new, (void*)__pyx_CommonTypesMetaclass_call}, + {Py_tp_setattro, (void*)__pyx_CommonTypesMetaclass_setattr}, + #endif + {0, 0} +}; +static PyType_Spec __pyx_CommonTypesMetaclass_spec = { + __PYX_TYPE_MODULE_PREFIX "_common_types_metatype", + 0, + 0, + Py_TPFLAGS_IMMUTABLETYPE | + Py_TPFLAGS_DISALLOW_INSTANTIATION | + Py_TPFLAGS_DEFAULT, + __pyx_CommonTypesMetaclass_slots +}; +static int __pyx_CommonTypesMetaclass_init(PyObject *module) { + __pyx_mstatetype *mstate = __Pyx_PyModule_GetState(module); + PyObject *bases = PyTuple_Pack(1, &PyType_Type); + if (unlikely(!bases)) { + return -1; + } + mstate->__pyx_CommonTypesMetaclassType = __Pyx_FetchCommonTypeFromSpec(NULL, module, &__pyx_CommonTypesMetaclass_spec, bases); + Py_DECREF(bases); + if (unlikely(mstate->__pyx_CommonTypesMetaclassType == NULL)) { + return -1; + } + return 0; +} + +/* PyMethodNew (used by CythonFunctionShared) */ +#if CYTHON_COMPILING_IN_LIMITED_API +static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ) { + PyObject *result; + CYTHON_UNUSED_VAR(typ); + if (!self) + return __Pyx_NewRef(func); + #if __PYX_LIMITED_VERSION_HEX >= 0x030C0000 + { + PyObject *args[] = {func, self}; + result = PyObject_Vectorcall(__pyx_mstate_global->__Pyx_CachedMethodType, args, 2, NULL); + } + #else + result = PyObject_CallFunctionObjArgs(__pyx_mstate_global->__Pyx_CachedMethodType, func, self, NULL); + #endif + return result; +} +#else +static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ) { + CYTHON_UNUSED_VAR(typ); + if (!self) + return __Pyx_NewRef(func); + return PyMethod_New(func, self); +} +#endif + +/* PyVectorcallFastCallDict (used by CythonFunctionShared) */ +#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL +static PyObject *__Pyx_PyVectorcall_FastCallDict_kw(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) +{ + PyObject *res = NULL; + PyObject *kwnames; + PyObject **newargs; + PyObject **kwvalues; + Py_ssize_t i; + #if CYTHON_AVOID_BORROWED_REFS + PyObject *pos; + #else + Py_ssize_t pos; + #endif + size_t j; + PyObject *key, *value; + unsigned long keys_are_strings; + #if !CYTHON_ASSUME_SAFE_SIZE + Py_ssize_t nkw = PyDict_Size(kw); + if (unlikely(nkw == -1)) return NULL; + #else + Py_ssize_t nkw = PyDict_GET_SIZE(kw); + #endif + newargs = (PyObject **)PyMem_Malloc((nargs + (size_t)nkw) * sizeof(args[0])); + if (unlikely(newargs == NULL)) { + PyErr_NoMemory(); + return NULL; + } + for (j = 0; j < nargs; j++) newargs[j] = args[j]; + kwnames = PyTuple_New(nkw); + if (unlikely(kwnames == NULL)) { + PyMem_Free(newargs); + return NULL; + } + kwvalues = newargs + nargs; + pos = 0; + i = 0; + keys_are_strings = Py_TPFLAGS_UNICODE_SUBCLASS; + while (__Pyx_PyDict_NextRef(kw, &pos, &key, &value)) { + keys_are_strings &= + #if CYTHON_COMPILING_IN_LIMITED_API + PyType_GetFlags(Py_TYPE(key)); + #else + Py_TYPE(key)->tp_flags; + #endif + #if !CYTHON_ASSUME_SAFE_MACROS + if (unlikely(PyTuple_SetItem(kwnames, i, key) < 0)) goto cleanup; + #else + PyTuple_SET_ITEM(kwnames, i, key); + #endif + kwvalues[i] = value; + i++; + } + if (unlikely(!keys_are_strings)) { + PyErr_SetString(PyExc_TypeError, "keywords must be strings"); + goto cleanup; + } + res = vc(func, newargs, nargs, kwnames); +cleanup: + #if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(pos); + #endif + Py_DECREF(kwnames); + for (i = 0; i < nkw; i++) + Py_DECREF(kwvalues[i]); + PyMem_Free(newargs); + return res; +} +static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) +{ + Py_ssize_t kw_size = + likely(kw == NULL) ? + 0 : +#if !CYTHON_ASSUME_SAFE_SIZE + PyDict_Size(kw); +#else + PyDict_GET_SIZE(kw); +#endif + if (kw_size == 0) { + return vc(func, args, nargs, NULL); + } +#if !CYTHON_ASSUME_SAFE_SIZE + else if (unlikely(kw_size == -1)) { + return NULL; + } +#endif + return __Pyx_PyVectorcall_FastCallDict_kw(func, vc, args, nargs, kw); +} +#endif + +/* CythonFunctionShared (used by CythonFunction) */ +#if CYTHON_COMPILING_IN_LIMITED_API +static CYTHON_INLINE int __Pyx__IsSameCyOrCFunctionNoMethod(PyObject *func, void (*cfunc)(void)) { + if (__Pyx_CyFunction_Check(func)) { + return PyCFunction_GetFunction(((__pyx_CyFunctionObject*)func)->func) == (PyCFunction) cfunc; + } else if (PyCFunction_Check(func)) { + return PyCFunction_GetFunction(func) == (PyCFunction) cfunc; + } + return 0; +} +static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)) { + if ((PyObject*)Py_TYPE(func) == __pyx_mstate_global->__Pyx_CachedMethodType) { + int result; + PyObject *newFunc = PyObject_GetAttr(func, __pyx_mstate_global->__pyx_n_u_func); + if (unlikely(!newFunc)) { + PyErr_Clear(); // It's only an optimization, so don't throw an error + return 0; + } + result = __Pyx__IsSameCyOrCFunctionNoMethod(newFunc, cfunc); + Py_DECREF(newFunc); + return result; + } + return __Pyx__IsSameCyOrCFunctionNoMethod(func, cfunc); +} +#else +static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)) { + if (PyMethod_Check(func)) { + func = PyMethod_GET_FUNCTION(func); + } + return __Pyx_CyOrPyCFunction_Check(func) && __Pyx_CyOrPyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; +} +#endif +static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj) { +#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API + __Pyx_Py_XDECREF_SET( + __Pyx_CyFunction_GetClassObj(f), + ((classobj) ? __Pyx_NewRef(classobj) : NULL)); +#else + __Pyx_Py_XDECREF_SET( + ((PyCMethodObject *) (f))->mm_class, + (PyTypeObject*)((classobj) ? __Pyx_NewRef(classobj) : NULL)); +#endif +} +static PyObject * +__Pyx_CyFunction_get_doc_locked(__pyx_CyFunctionObject *op) +{ + if (unlikely(op->func_doc == NULL)) { +#if CYTHON_COMPILING_IN_LIMITED_API + op->func_doc = PyObject_GetAttrString(op->func, "__doc__"); + if (unlikely(!op->func_doc)) return NULL; +#else + if (((PyCFunctionObject*)op)->m_ml->ml_doc) { + op->func_doc = PyUnicode_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); + if (unlikely(op->func_doc == NULL)) + return NULL; + } else { + Py_INCREF(Py_None); + return Py_None; + } +#endif + } + Py_INCREF(op->func_doc); + return op->func_doc; +} +static PyObject * +__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, void *closure) { + PyObject *result; + CYTHON_UNUSED_VAR(closure); + __Pyx_BEGIN_CRITICAL_SECTION(op); + result = __Pyx_CyFunction_get_doc_locked(op); + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static int +__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, void *context) +{ + CYTHON_UNUSED_VAR(context); + if (value == NULL) { + value = Py_None; + } + Py_INCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->func_doc, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_name_locked(__pyx_CyFunctionObject *op) +{ + if (unlikely(op->func_name == NULL)) { +#if CYTHON_COMPILING_IN_LIMITED_API + op->func_name = PyObject_GetAttrString(op->func, "__name__"); +#else + op->func_name = PyUnicode_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); +#endif + if (unlikely(op->func_name == NULL)) + return NULL; + } + Py_INCREF(op->func_name); + return op->func_name; +} +static PyObject * +__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, void *context) +{ + PyObject *result = NULL; + CYTHON_UNUSED_VAR(context); + __Pyx_BEGIN_CRITICAL_SECTION(op); + result = __Pyx_CyFunction_get_name_locked(op); + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static int +__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, void *context) +{ + CYTHON_UNUSED_VAR(context); + if (unlikely(value == NULL || !PyUnicode_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "__name__ must be set to a string object"); + return -1; + } + Py_INCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->func_name, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, void *context) +{ + CYTHON_UNUSED_VAR(context); + PyObject *result; + __Pyx_BEGIN_CRITICAL_SECTION(op); + Py_INCREF(op->func_qualname); + result = op->func_qualname; + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static int +__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, void *context) +{ + CYTHON_UNUSED_VAR(context); + if (unlikely(value == NULL || !PyUnicode_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "__qualname__ must be set to a string object"); + return -1; + } + Py_INCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->func_qualname, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 +static PyObject * +__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, void *context) +{ + CYTHON_UNUSED_VAR(context); + if (unlikely(op->func_dict == NULL)) { + op->func_dict = PyDict_New(); + if (unlikely(op->func_dict == NULL)) + return NULL; + } + Py_INCREF(op->func_dict); + return op->func_dict; +} +#endif +static PyObject * +__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, void *context) +{ + CYTHON_UNUSED_VAR(context); + Py_INCREF(op->func_globals); + return op->func_globals; +} +static PyObject * +__Pyx_CyFunction_get_closure(__pyx_CyFunctionObject *op, void *context) +{ + CYTHON_UNUSED_VAR(op); + CYTHON_UNUSED_VAR(context); + Py_INCREF(Py_None); + return Py_None; +} +static PyObject * +__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, void *context) +{ + PyObject* result = (op->func_code) ? op->func_code : Py_None; + CYTHON_UNUSED_VAR(context); + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { + int result = 0; + PyObject *res = op->defaults_getter((PyObject *) op); + if (unlikely(!res)) + return -1; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + op->defaults_tuple = PyTuple_GET_ITEM(res, 0); + Py_INCREF(op->defaults_tuple); + op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); + Py_INCREF(op->defaults_kwdict); + #else + op->defaults_tuple = __Pyx_PySequence_ITEM(res, 0); + if (unlikely(!op->defaults_tuple)) result = -1; + else { + op->defaults_kwdict = __Pyx_PySequence_ITEM(res, 1); + if (unlikely(!op->defaults_kwdict)) result = -1; + } + #endif + Py_DECREF(res); + return result; +} +static int +__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { + CYTHON_UNUSED_VAR(context); + if (!value) { + value = Py_None; + } else if (unlikely(value != Py_None && !PyTuple_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "__defaults__ must be set to a tuple object"); + return -1; + } + PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__defaults__ will not " + "currently affect the values used in function calls", 1); + Py_INCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->defaults_tuple, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_defaults_locked(__pyx_CyFunctionObject *op) { + PyObject* result = op->defaults_tuple; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; + result = op->defaults_tuple; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static PyObject * +__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, void *context) { + PyObject* result = NULL; + CYTHON_UNUSED_VAR(context); + __Pyx_BEGIN_CRITICAL_SECTION(op); + result = __Pyx_CyFunction_get_defaults_locked(op); + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static int +__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { + CYTHON_UNUSED_VAR(context); + if (!value) { + value = Py_None; + } else if (unlikely(value != Py_None && !PyDict_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "__kwdefaults__ must be set to a dict object"); + return -1; + } + PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__kwdefaults__ will not " + "currently affect the values used in function calls", 1); + Py_INCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->defaults_kwdict, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_kwdefaults_locked(__pyx_CyFunctionObject *op) { + PyObject* result = op->defaults_kwdict; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; + result = op->defaults_kwdict; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static PyObject * +__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, void *context) { + PyObject* result; + CYTHON_UNUSED_VAR(context); + __Pyx_BEGIN_CRITICAL_SECTION(op); + result = __Pyx_CyFunction_get_kwdefaults_locked(op); + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static int +__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, void *context) { + CYTHON_UNUSED_VAR(context); + if (!value || value == Py_None) { + value = NULL; + } else if (unlikely(!PyDict_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "__annotations__ must be set to a dict object"); + return -1; + } + Py_XINCREF(value); + __Pyx_BEGIN_CRITICAL_SECTION(op); + __Pyx_Py_XDECREF_SET(op->func_annotations, value); + __Pyx_END_CRITICAL_SECTION(); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_annotations_locked(__pyx_CyFunctionObject *op) { + PyObject* result = op->func_annotations; + if (unlikely(!result)) { + result = PyDict_New(); + if (unlikely(!result)) return NULL; + op->func_annotations = result; + } + Py_INCREF(result); + return result; +} +static PyObject * +__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, void *context) { + PyObject *result; + CYTHON_UNUSED_VAR(context); + __Pyx_BEGIN_CRITICAL_SECTION(op); + result = __Pyx_CyFunction_get_annotations_locked(op); + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static PyObject * +__Pyx_CyFunction_get_is_coroutine_value(__pyx_CyFunctionObject *op) { + int is_coroutine = op->flags & __Pyx_CYFUNCTION_COROUTINE; + if (is_coroutine) { + PyObject *is_coroutine_value, *module, *fromlist, *marker = __pyx_mstate_global->__pyx_n_u_is_coroutine; + fromlist = PyList_New(1); + if (unlikely(!fromlist)) return NULL; + Py_INCREF(marker); +#if CYTHON_ASSUME_SAFE_MACROS + PyList_SET_ITEM(fromlist, 0, marker); +#else + if (unlikely(PyList_SetItem(fromlist, 0, marker) < 0)) { + Py_DECREF(fromlist); + return NULL; + } +#endif + module = PyImport_ImportModuleLevelObject(__pyx_mstate_global->__pyx_n_u_asyncio_coroutines, NULL, NULL, fromlist, 0); + Py_DECREF(fromlist); + if (unlikely(!module)) goto ignore; + is_coroutine_value = __Pyx_PyObject_GetAttrStr(module, marker); + Py_DECREF(module); + if (likely(is_coroutine_value)) { + return is_coroutine_value; + } +ignore: + PyErr_Clear(); + } + return __Pyx_PyBool_FromLong(is_coroutine); +} +static PyObject * +__Pyx_CyFunction_get_is_coroutine(__pyx_CyFunctionObject *op, void *context) { + PyObject *result; + CYTHON_UNUSED_VAR(context); + if (op->func_is_coroutine) { + return __Pyx_NewRef(op->func_is_coroutine); + } + result = __Pyx_CyFunction_get_is_coroutine_value(op); + if (unlikely(!result)) + return NULL; + __Pyx_BEGIN_CRITICAL_SECTION(op); + if (op->func_is_coroutine) { + Py_DECREF(result); + result = __Pyx_NewRef(op->func_is_coroutine); + } else { + op->func_is_coroutine = __Pyx_NewRef(result); + } + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static void __Pyx_CyFunction_raise_argument_count_error(__pyx_CyFunctionObject *func, const char* message, Py_ssize_t size) { +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *py_name = __Pyx_CyFunction_get_name(func, NULL); + if (!py_name) return; + PyErr_Format(PyExc_TypeError, + "%.200S() %s (%" CYTHON_FORMAT_SSIZE_T "d given)", + py_name, message, size); + Py_DECREF(py_name); +#else + const char* name = ((PyCFunctionObject*)func)->m_ml->ml_name; + PyErr_Format(PyExc_TypeError, + "%.200s() %s (%" CYTHON_FORMAT_SSIZE_T "d given)", + name, message, size); +#endif +} +static void __Pyx_CyFunction_raise_type_error(__pyx_CyFunctionObject *func, const char* message) { +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *py_name = __Pyx_CyFunction_get_name(func, NULL); + if (!py_name) return; + PyErr_Format(PyExc_TypeError, + "%.200S() %s", + py_name, message); + Py_DECREF(py_name); +#else + const char* name = ((PyCFunctionObject*)func)->m_ml->ml_name; + PyErr_Format(PyExc_TypeError, + "%.200s() %s", + name, message); +#endif +} +#if CYTHON_COMPILING_IN_LIMITED_API +static PyObject * +__Pyx_CyFunction_get_module(__pyx_CyFunctionObject *op, void *context) { + CYTHON_UNUSED_VAR(context); + return PyObject_GetAttrString(op->func, "__module__"); +} +static int +__Pyx_CyFunction_set_module(__pyx_CyFunctionObject *op, PyObject* value, void *context) { + CYTHON_UNUSED_VAR(context); + return PyObject_SetAttrString(op->func, "__module__", value); +} +#endif +static PyGetSetDef __pyx_CyFunction_getsets[] = { + {"func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {"__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {"func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {"__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {"__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 + {"func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)PyObject_GenericSetDict, 0, 0}, + {"__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)PyObject_GenericSetDict, 0, 0}, +#else + {"func_dict", (getter)PyObject_GenericGetDict, (setter)PyObject_GenericSetDict, 0, 0}, + {"__dict__", (getter)PyObject_GenericGetDict, (setter)PyObject_GenericSetDict, 0, 0}, +#endif + {"func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {"__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {"func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {"__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {"func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {"__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {"func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {"__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {"__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, + {"__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, + {"_is_coroutine", (getter)__Pyx_CyFunction_get_is_coroutine, 0, 0, 0}, +#if CYTHON_COMPILING_IN_LIMITED_API + {"__module__", (getter)__Pyx_CyFunction_get_module, (setter)__Pyx_CyFunction_set_module, 0, 0}, +#endif + {0, 0, 0, 0, 0} +}; +static PyMemberDef __pyx_CyFunction_members[] = { +#if !CYTHON_COMPILING_IN_LIMITED_API + {"__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), 0, 0}, +#endif +#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API + {"__dictoffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_dict), READONLY, 0}, +#endif +#if CYTHON_METH_FASTCALL +#if CYTHON_COMPILING_IN_LIMITED_API + {"__vectorcalloffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_vectorcall), READONLY, 0}, +#else + {"__vectorcalloffset__", T_PYSSIZET, offsetof(PyCFunctionObject, vectorcall), READONLY, 0}, +#endif +#if CYTHON_COMPILING_IN_LIMITED_API + {"__weaklistoffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_weakreflist), READONLY, 0}, +#else + {"__weaklistoffset__", T_PYSSIZET, offsetof(PyCFunctionObject, m_weakreflist), READONLY, 0}, +#endif +#endif + {0, 0, 0, 0, 0} +}; +static PyObject * +__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, PyObject *args) +{ + PyObject *result = NULL; + CYTHON_UNUSED_VAR(args); + __Pyx_BEGIN_CRITICAL_SECTION(m); + Py_INCREF(m->func_qualname); + result = m->func_qualname; + __Pyx_END_CRITICAL_SECTION(); + return result; +} +static PyMethodDef __pyx_CyFunction_methods[] = { + {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, + {0, 0, 0, 0} +}; +#if CYTHON_COMPILING_IN_LIMITED_API +#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) +#else +#define __Pyx_CyFunction_weakreflist(cyfunc) (((PyCFunctionObject*)cyfunc)->m_weakreflist) +#endif +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject *op, PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { +#if !CYTHON_COMPILING_IN_LIMITED_API + PyCFunctionObject *cf = (PyCFunctionObject*) op; +#endif + if (unlikely(op == NULL)) + return NULL; +#if CYTHON_COMPILING_IN_LIMITED_API + op->func = PyCFunction_NewEx(ml, (PyObject*)op, module); + if (unlikely(!op->func)) return NULL; +#endif + op->flags = flags; + __Pyx_CyFunction_weakreflist(op) = NULL; +#if !CYTHON_COMPILING_IN_LIMITED_API + cf->m_ml = ml; + cf->m_self = (PyObject *) op; +#endif + Py_XINCREF(closure); + op->func_closure = closure; +#if !CYTHON_COMPILING_IN_LIMITED_API + Py_XINCREF(module); + cf->m_module = module; +#endif +#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API + op->func_dict = NULL; +#endif + op->func_name = NULL; + Py_INCREF(qualname); + op->func_qualname = qualname; + op->func_doc = NULL; +#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API + op->func_classobj = NULL; +#else + ((PyCMethodObject*)op)->mm_class = NULL; +#endif + op->func_globals = globals; + Py_INCREF(op->func_globals); + Py_XINCREF(code); + op->func_code = code; + op->defaults = NULL; + op->defaults_tuple = NULL; + op->defaults_kwdict = NULL; + op->defaults_getter = NULL; + op->func_annotations = NULL; + op->func_is_coroutine = NULL; +#if CYTHON_METH_FASTCALL + switch (ml->ml_flags & (METH_VARARGS | METH_FASTCALL | METH_NOARGS | METH_O | METH_KEYWORDS | METH_METHOD)) { + case METH_NOARGS: + __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_NOARGS; + break; + case METH_O: + __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_O; + break; + case METH_METHOD | METH_FASTCALL | METH_KEYWORDS: + __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD; + break; + case METH_FASTCALL | METH_KEYWORDS: + __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS; + break; + case METH_VARARGS | METH_KEYWORDS: + __Pyx_CyFunction_func_vectorcall(op) = NULL; + break; + default: + PyErr_SetString(PyExc_SystemError, "Bad call flags for CyFunction"); + Py_DECREF(op); + return NULL; + } +#endif + return (PyObject *) op; +} +static int +__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) +{ + Py_CLEAR(m->func_closure); +#if CYTHON_COMPILING_IN_LIMITED_API + Py_CLEAR(m->func); +#else + Py_CLEAR(((PyCFunctionObject*)m)->m_module); +#endif +#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API + Py_CLEAR(m->func_dict); +#elif PY_VERSION_HEX < 0x030d0000 + _PyObject_ClearManagedDict((PyObject*)m); +#else + PyObject_ClearManagedDict((PyObject*)m); +#endif + Py_CLEAR(m->func_name); + Py_CLEAR(m->func_qualname); + Py_CLEAR(m->func_doc); + Py_CLEAR(m->func_globals); + Py_CLEAR(m->func_code); +#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API + Py_CLEAR(__Pyx_CyFunction_GetClassObj(m)); +#else + { + PyObject *cls = (PyObject*) ((PyCMethodObject *) (m))->mm_class; + ((PyCMethodObject *) (m))->mm_class = NULL; + Py_XDECREF(cls); + } +#endif + Py_CLEAR(m->defaults_tuple); + Py_CLEAR(m->defaults_kwdict); + Py_CLEAR(m->func_annotations); + Py_CLEAR(m->func_is_coroutine); + Py_CLEAR(m->defaults); + return 0; +} +static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + if (__Pyx_CyFunction_weakreflist(m) != NULL) + PyObject_ClearWeakRefs((PyObject *) m); + __Pyx_CyFunction_clear(m); + __Pyx_PyHeapTypeObject_GC_Del(m); +} +static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + PyObject_GC_UnTrack(m); + __Pyx__CyFunction_dealloc(m); +} +static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) +{ + { + int e = __Pyx_call_type_traverse((PyObject*)m, 1, visit, arg); + if (e) return e; + } + Py_VISIT(m->func_closure); +#if CYTHON_COMPILING_IN_LIMITED_API + Py_VISIT(m->func); +#else + Py_VISIT(((PyCFunctionObject*)m)->m_module); +#endif +#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API + Py_VISIT(m->func_dict); +#else + { + int e = +#if PY_VERSION_HEX < 0x030d0000 + _PyObject_VisitManagedDict +#else + PyObject_VisitManagedDict +#endif + ((PyObject*)m, visit, arg); + if (e != 0) return e; + } +#endif + __Pyx_VISIT_CONST(m->func_name); + __Pyx_VISIT_CONST(m->func_qualname); + Py_VISIT(m->func_doc); + Py_VISIT(m->func_globals); + __Pyx_VISIT_CONST(m->func_code); + Py_VISIT(__Pyx_CyFunction_GetClassObj(m)); + Py_VISIT(m->defaults_tuple); + Py_VISIT(m->defaults_kwdict); + Py_VISIT(m->func_annotations); + Py_VISIT(m->func_is_coroutine); + Py_VISIT(m->defaults); + return 0; +} +static PyObject* +__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) +{ + PyObject *repr; + __Pyx_BEGIN_CRITICAL_SECTION(op); + repr = PyUnicode_FromFormat("", + op->func_qualname, (void *)op); + __Pyx_END_CRITICAL_SECTION(); + return repr; +} +static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) { +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *f = ((__pyx_CyFunctionObject*)func)->func; + PyCFunction meth; + int flags; + meth = PyCFunction_GetFunction(f); + if (unlikely(!meth)) return NULL; + flags = PyCFunction_GetFlags(f); + if (unlikely(flags < 0)) return NULL; +#else + PyCFunctionObject* f = (PyCFunctionObject*)func; + PyCFunction meth = f->m_ml->ml_meth; + int flags = f->m_ml->ml_flags; +#endif + Py_ssize_t size; + switch (flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { + case METH_VARARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) + return (*meth)(self, arg); + break; + case METH_VARARGS | METH_KEYWORDS: + return (*(PyCFunctionWithKeywords)(void(*)(void))meth)(self, arg, kw); + case METH_NOARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { +#if CYTHON_ASSUME_SAFE_SIZE + size = PyTuple_GET_SIZE(arg); +#else + size = PyTuple_Size(arg); + if (unlikely(size < 0)) return NULL; +#endif + if (likely(size == 0)) + return (*meth)(self, NULL); + __Pyx_CyFunction_raise_argument_count_error( + (__pyx_CyFunctionObject*)func, + "takes no arguments", size); + return NULL; + } + break; + case METH_O: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { +#if CYTHON_ASSUME_SAFE_SIZE + size = PyTuple_GET_SIZE(arg); +#else + size = PyTuple_Size(arg); + if (unlikely(size < 0)) return NULL; +#endif + if (likely(size == 1)) { + PyObject *result, *arg0; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + arg0 = PyTuple_GET_ITEM(arg, 0); + #else + arg0 = __Pyx_PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; + #endif + result = (*meth)(self, arg0); + #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF(arg0); + #endif + return result; + } + __Pyx_CyFunction_raise_argument_count_error( + (__pyx_CyFunctionObject*)func, + "takes exactly one argument", size); + return NULL; + } + break; + default: + PyErr_SetString(PyExc_SystemError, "Bad call flags for CyFunction"); + return NULL; + } + __Pyx_CyFunction_raise_type_error( + (__pyx_CyFunctionObject*)func, "takes no keyword arguments"); + return NULL; +} +static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { + PyObject *self, *result; +#if CYTHON_COMPILING_IN_LIMITED_API + self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)func)->func); + if (unlikely(!self) && PyErr_Occurred()) return NULL; +#else + self = ((PyCFunctionObject*)func)->m_self; +#endif + result = __Pyx_CyFunction_CallMethod(func, self, arg, kw); + return result; +} +static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) { + PyObject *result; + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; +#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL + __pyx_vectorcallfunc vc = __Pyx_CyFunction_func_vectorcall(cyfunc); + if (vc) { +#if CYTHON_ASSUME_SAFE_MACROS && CYTHON_ASSUME_SAFE_SIZE + return __Pyx_PyVectorcall_FastCallDict(func, vc, &PyTuple_GET_ITEM(args, 0), (size_t)PyTuple_GET_SIZE(args), kw); +#else + (void) &__Pyx_PyVectorcall_FastCallDict; + return PyVectorcall_Call(func, args, kw); +#endif + } +#endif + if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { + Py_ssize_t argc; + PyObject *new_args; + PyObject *self; +#if CYTHON_ASSUME_SAFE_SIZE + argc = PyTuple_GET_SIZE(args); +#else + argc = PyTuple_Size(args); + if (unlikely(argc < 0)) return NULL; +#endif + new_args = PyTuple_GetSlice(args, 1, argc); + if (unlikely(!new_args)) + return NULL; + self = PyTuple_GetItem(args, 0); + if (unlikely(!self)) { + Py_DECREF(new_args); + PyErr_Format(PyExc_TypeError, + "unbound method %.200S() needs an argument", + cyfunc->func_qualname); + return NULL; + } + result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw); + Py_DECREF(new_args); + } else { + result = __Pyx_CyFunction_Call(func, args, kw); + } + return result; +} +#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL +static CYTHON_INLINE int __Pyx_CyFunction_Vectorcall_CheckArgs(__pyx_CyFunctionObject *cyfunc, Py_ssize_t nargs, PyObject *kwnames) +{ + int ret = 0; + if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { + if (unlikely(nargs < 1)) { + __Pyx_CyFunction_raise_type_error( + cyfunc, "needs an argument"); + return -1; + } + ret = 1; + } + if (unlikely(kwnames) && unlikely(__Pyx_PyTuple_GET_SIZE(kwnames))) { + __Pyx_CyFunction_raise_type_error( + cyfunc, "takes no keyword arguments"); + return -1; + } + return ret; +} +static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; + Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); + PyObject *self; +#if CYTHON_COMPILING_IN_LIMITED_API + PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); + if (unlikely(!meth)) return NULL; +#else + PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; +#endif + switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, kwnames)) { + case 1: + self = args[0]; + args += 1; + nargs -= 1; + break; + case 0: +#if CYTHON_COMPILING_IN_LIMITED_API + self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); + if (unlikely(!self) && PyErr_Occurred()) return NULL; +#else + self = ((PyCFunctionObject*)cyfunc)->m_self; +#endif + break; + default: + return NULL; + } + if (unlikely(nargs != 0)) { + __Pyx_CyFunction_raise_argument_count_error( + cyfunc, "takes no arguments", nargs); + return NULL; + } + return meth(self, NULL); +} +static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; + Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); + PyObject *self; +#if CYTHON_COMPILING_IN_LIMITED_API + PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); + if (unlikely(!meth)) return NULL; +#else + PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; +#endif + switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, kwnames)) { + case 1: + self = args[0]; + args += 1; + nargs -= 1; + break; + case 0: +#if CYTHON_COMPILING_IN_LIMITED_API + self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); + if (unlikely(!self) && PyErr_Occurred()) return NULL; +#else + self = ((PyCFunctionObject*)cyfunc)->m_self; +#endif + break; + default: + return NULL; + } + if (unlikely(nargs != 1)) { + __Pyx_CyFunction_raise_argument_count_error( + cyfunc, "takes exactly one argument", nargs); + return NULL; + } + return meth(self, args[0]); +} +static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; + Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); + PyObject *self; +#if CYTHON_COMPILING_IN_LIMITED_API + PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); + if (unlikely(!meth)) return NULL; +#else + PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; +#endif + switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, NULL)) { + case 1: + self = args[0]; + args += 1; + nargs -= 1; + break; + case 0: +#if CYTHON_COMPILING_IN_LIMITED_API + self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); + if (unlikely(!self) && PyErr_Occurred()) return NULL; +#else + self = ((PyCFunctionObject*)cyfunc)->m_self; +#endif + break; + default: + return NULL; + } + return ((__Pyx_PyCFunctionFastWithKeywords)(void(*)(void))meth)(self, args, nargs, kwnames); +} +static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; + PyTypeObject *cls = (PyTypeObject *) __Pyx_CyFunction_GetClassObj(cyfunc); + Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); + PyObject *self; +#if CYTHON_COMPILING_IN_LIMITED_API + PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); + if (unlikely(!meth)) return NULL; +#else + PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; +#endif + switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, NULL)) { + case 1: + self = args[0]; + args += 1; + nargs -= 1; + break; + case 0: +#if CYTHON_COMPILING_IN_LIMITED_API + self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); + if (unlikely(!self) && PyErr_Occurred()) return NULL; +#else + self = ((PyCFunctionObject*)cyfunc)->m_self; +#endif + break; + default: + return NULL; + } + #if PY_VERSION_HEX < 0x030e00A6 + size_t nargs_value = (size_t) nargs; + #else + Py_ssize_t nargs_value = nargs; + #endif + return ((__Pyx_PyCMethod)(void(*)(void))meth)(self, cls, args, nargs_value, kwnames); +} +#endif +static PyType_Slot __pyx_CyFunctionType_slots[] = { + {Py_tp_dealloc, (void *)__Pyx_CyFunction_dealloc}, + {Py_tp_repr, (void *)__Pyx_CyFunction_repr}, + {Py_tp_call, (void *)__Pyx_CyFunction_CallAsMethod}, + {Py_tp_traverse, (void *)__Pyx_CyFunction_traverse}, + {Py_tp_clear, (void *)__Pyx_CyFunction_clear}, + {Py_tp_methods, (void *)__pyx_CyFunction_methods}, + {Py_tp_members, (void *)__pyx_CyFunction_members}, + {Py_tp_getset, (void *)__pyx_CyFunction_getsets}, + {Py_tp_descr_get, (void *)__Pyx_PyMethod_New}, + {0, 0}, +}; +static PyType_Spec __pyx_CyFunctionType_spec = { + __PYX_TYPE_MODULE_PREFIX "cython_function_or_method", + sizeof(__pyx_CyFunctionObject), + 0, +#ifdef Py_TPFLAGS_METHOD_DESCRIPTOR + Py_TPFLAGS_METHOD_DESCRIPTOR | +#endif +#if CYTHON_METH_FASTCALL +#if defined(Py_TPFLAGS_HAVE_VECTORCALL) + Py_TPFLAGS_HAVE_VECTORCALL | +#elif defined(_Py_TPFLAGS_HAVE_VECTORCALL) + _Py_TPFLAGS_HAVE_VECTORCALL | +#endif +#endif // CYTHON_METH_FASTCALL +#if PY_VERSION_HEX >= 0x030C0000 && !CYTHON_COMPILING_IN_LIMITED_API + Py_TPFLAGS_MANAGED_DICT | +#endif + Py_TPFLAGS_IMMUTABLETYPE | Py_TPFLAGS_DISALLOW_INSTANTIATION | + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, + __pyx_CyFunctionType_slots +}; +static int __pyx_CyFunction_init(PyObject *module) { + __pyx_mstatetype *mstate = __Pyx_PyModule_GetState(module); + mstate->__pyx_CyFunctionType = __Pyx_FetchCommonTypeFromSpec( + mstate->__pyx_CommonTypesMetaclassType, module, &__pyx_CyFunctionType_spec, NULL); + if (unlikely(mstate->__pyx_CyFunctionType == NULL)) { + return -1; + } + return 0; +} +static CYTHON_INLINE PyObject *__Pyx_CyFunction_InitDefaults(PyObject *func, PyTypeObject *defaults_type) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults = PyObject_CallObject((PyObject*)defaults_type, NULL); // _PyObject_New(defaults_type); + if (unlikely(!m->defaults)) + return NULL; + return m->defaults; +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_tuple = tuple; + Py_INCREF(tuple); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_kwdict = dict; + Py_INCREF(dict); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->func_annotations = dict; + Py_INCREF(dict); +} + +/* CythonFunction */ +static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { + PyObject *op = __Pyx_CyFunction_Init( + PyObject_GC_New(__pyx_CyFunctionObject, __pyx_mstate_global->__pyx_CyFunctionType), + ml, flags, qualname, closure, module, globals, code + ); + if (likely(op)) { + PyObject_GC_Track(op); + } + return op; +} + +/* CLineInTraceback (used by AddTraceback) */ +#if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 +#define __Pyx_PyProbablyModule_GetDict(o) __Pyx_XNewRef(PyModule_GetDict(o)) +#elif !CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_CPYTHON_FREETHREADING +#define __Pyx_PyProbablyModule_GetDict(o) PyObject_GenericGetDict(o, NULL); +#else +PyObject* __Pyx_PyProbablyModule_GetDict(PyObject *o) { + PyObject **dict_ptr = _PyObject_GetDictPtr(o); + return dict_ptr ? __Pyx_XNewRef(*dict_ptr) : NULL; +} +#endif +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { + PyObject *use_cline = NULL; + PyObject *ptype, *pvalue, *ptraceback; + PyObject *cython_runtime_dict; + CYTHON_MAYBE_UNUSED_VAR(tstate); + if (unlikely(!__pyx_mstate_global->__pyx_cython_runtime)) { + return c_line; + } + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); + cython_runtime_dict = __Pyx_PyProbablyModule_GetDict(__pyx_mstate_global->__pyx_cython_runtime); + if (likely(cython_runtime_dict)) { + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, cython_runtime_dict, + __Pyx_PyDict_SetDefault(cython_runtime_dict, __pyx_mstate_global->__pyx_n_u_cline_in_traceback, Py_False)) + } + if (use_cline == NULL || use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + c_line = 0; + } + Py_XDECREF(use_cline); + Py_XDECREF(cython_runtime_dict); + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + return c_line; +} +#endif + +/* CodeObjectCache (used by AddTraceback) */ +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + int start = 0, mid = 0, end = count - 1; + if (end >= 0 && code_line > entries[end].code_line) { + return count; + } + while (start < end) { + mid = start + (end - start) / 2; + if (code_line < entries[mid].code_line) { + end = mid; + } else if (code_line > entries[mid].code_line) { + start = mid + 1; + } else { + return mid; + } + } + if (code_line <= entries[mid].code_line) { + return mid; + } else { + return mid + 1; + } +} +static __Pyx_CachedCodeObjectType *__pyx__find_code_object(struct __Pyx_CodeObjectCache *code_cache, int code_line) { + __Pyx_CachedCodeObjectType* code_object; + int pos; + if (unlikely(!code_line) || unlikely(!code_cache->entries)) { + return NULL; + } + pos = __pyx_bisect_code_objects(code_cache->entries, code_cache->count, code_line); + if (unlikely(pos >= code_cache->count) || unlikely(code_cache->entries[pos].code_line != code_line)) { + return NULL; + } + code_object = code_cache->entries[pos].code_object; + Py_INCREF(code_object); + return code_object; +} +static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line) { +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && !CYTHON_ATOMICS + (void)__pyx__find_code_object; + return NULL; // Most implementation should have atomics. But otherwise, don't make it thread-safe, just miss. +#else + struct __Pyx_CodeObjectCache *code_cache = &__pyx_mstate_global->__pyx_code_cache; +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + __pyx_nonatomic_int_type old_count = __pyx_atomic_incr_acq_rel(&code_cache->accessor_count); + if (old_count < 0) { + __pyx_atomic_decr_acq_rel(&code_cache->accessor_count); + return NULL; + } +#endif + __Pyx_CachedCodeObjectType *result = __pyx__find_code_object(code_cache, code_line); +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + __pyx_atomic_decr_acq_rel(&code_cache->accessor_count); +#endif + return result; +#endif +} +static void __pyx__insert_code_object(struct __Pyx_CodeObjectCache *code_cache, int code_line, __Pyx_CachedCodeObjectType* code_object) +{ + int pos, i; + __Pyx_CodeObjectCacheEntry* entries = code_cache->entries; + if (unlikely(!code_line)) { + return; + } + if (unlikely(!entries)) { + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); + if (likely(entries)) { + code_cache->entries = entries; + code_cache->max_count = 64; + code_cache->count = 1; + entries[0].code_line = code_line; + entries[0].code_object = code_object; + Py_INCREF(code_object); + } + return; + } + pos = __pyx_bisect_code_objects(code_cache->entries, code_cache->count, code_line); + if ((pos < code_cache->count) && unlikely(code_cache->entries[pos].code_line == code_line)) { + __Pyx_CachedCodeObjectType* tmp = entries[pos].code_object; + entries[pos].code_object = code_object; + Py_INCREF(code_object); + Py_DECREF(tmp); + return; + } + if (code_cache->count == code_cache->max_count) { + int new_max = code_cache->max_count + 64; + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( + code_cache->entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); + if (unlikely(!entries)) { + return; + } + code_cache->entries = entries; + code_cache->max_count = new_max; + } + for (i=code_cache->count; i>pos; i--) { + entries[i] = entries[i-1]; + } + entries[pos].code_line = code_line; + entries[pos].code_object = code_object; + code_cache->count++; + Py_INCREF(code_object); +} +static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object) { +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && !CYTHON_ATOMICS + (void)__pyx__insert_code_object; + return; // Most implementation should have atomics. But otherwise, don't make it thread-safe, just fail. +#else + struct __Pyx_CodeObjectCache *code_cache = &__pyx_mstate_global->__pyx_code_cache; +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + __pyx_nonatomic_int_type expected = 0; + if (!__pyx_atomic_int_cmp_exchange(&code_cache->accessor_count, &expected, INT_MIN)) { + return; + } +#endif + __pyx__insert_code_object(code_cache, code_line, code_object); +#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING + __pyx_atomic_sub(&code_cache->accessor_count, INT_MIN); +#endif +#endif +} + +/* AddTraceback */ +#include "compile.h" +#include "frameobject.h" +#include "traceback.h" +#if PY_VERSION_HEX >= 0x030b00a6 && !CYTHON_COMPILING_IN_LIMITED_API && !defined(PYPY_VERSION) + #ifndef Py_BUILD_CORE + #define Py_BUILD_CORE 1 + #endif + #include "internal/pycore_frame.h" +#endif +#if CYTHON_COMPILING_IN_LIMITED_API +static PyObject *__Pyx_PyCode_Replace_For_AddTraceback(PyObject *code, PyObject *scratch_dict, + PyObject *firstlineno, PyObject *name) { + PyObject *replace = NULL; + if (unlikely(PyDict_SetItemString(scratch_dict, "co_firstlineno", firstlineno))) return NULL; + if (unlikely(PyDict_SetItemString(scratch_dict, "co_name", name))) return NULL; + replace = PyObject_GetAttrString(code, "replace"); + if (likely(replace)) { + PyObject *result = PyObject_Call(replace, __pyx_mstate_global->__pyx_empty_tuple, scratch_dict); + Py_DECREF(replace); + return result; + } + PyErr_Clear(); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyObject *code_object = NULL, *py_py_line = NULL, *py_funcname = NULL, *dict = NULL; + PyObject *replace = NULL, *getframe = NULL, *frame = NULL; + PyObject *exc_type, *exc_value, *exc_traceback; + int success = 0; + if (c_line) { + c_line = __Pyx_CLineForTraceback(__Pyx_PyThreadState_Current, c_line); + } + PyErr_Fetch(&exc_type, &exc_value, &exc_traceback); + code_object = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!code_object) { + code_object = Py_CompileString("_getframe()", filename, Py_eval_input); + if (unlikely(!code_object)) goto bad; + py_py_line = PyLong_FromLong(py_line); + if (unlikely(!py_py_line)) goto bad; + if (c_line) { + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + } else { + py_funcname = PyUnicode_FromString(funcname); + } + if (unlikely(!py_funcname)) goto bad; + dict = PyDict_New(); + if (unlikely(!dict)) goto bad; + { + PyObject *old_code_object = code_object; + code_object = __Pyx_PyCode_Replace_For_AddTraceback(code_object, dict, py_py_line, py_funcname); + Py_DECREF(old_code_object); + } + if (unlikely(!code_object)) goto bad; + __pyx_insert_code_object(c_line ? -c_line : py_line, code_object); + } else { + dict = PyDict_New(); + } + getframe = PySys_GetObject("_getframe"); + if (unlikely(!getframe)) goto bad; + if (unlikely(PyDict_SetItemString(dict, "_getframe", getframe))) goto bad; + frame = PyEval_EvalCode(code_object, dict, dict); + if (unlikely(!frame) || frame == Py_None) goto bad; + success = 1; + bad: + PyErr_Restore(exc_type, exc_value, exc_traceback); + Py_XDECREF(code_object); + Py_XDECREF(py_py_line); + Py_XDECREF(py_funcname); + Py_XDECREF(dict); + Py_XDECREF(replace); + if (success) { + PyTraceBack_Here( + (struct _frame*)frame); + } + Py_XDECREF(frame); +} +#else +static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( + const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = NULL; + PyObject *py_funcname = NULL; + if (c_line) { + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + if (!py_funcname) goto bad; + funcname = PyUnicode_AsUTF8(py_funcname); + if (!funcname) goto bad; + } + py_code = PyCode_NewEmpty(filename, funcname, py_line); + Py_XDECREF(py_funcname); + return py_code; +bad: + Py_XDECREF(py_funcname); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyFrameObject *py_frame = 0; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject *ptype, *pvalue, *ptraceback; + if (c_line) { + c_line = __Pyx_CLineForTraceback(tstate, c_line); + } + py_code = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!py_code) { + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); + py_code = __Pyx_CreateCodeObjectForTraceback( + funcname, c_line, py_line, filename); + if (!py_code) { + /* If the code object creation fails, then we should clear the + fetched exception references and propagate the new exception */ + Py_XDECREF(ptype); + Py_XDECREF(pvalue); + Py_XDECREF(ptraceback); + goto bad; + } + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); + } + py_frame = PyFrame_New( + tstate, /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_mstate_global->__pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + __Pyx_PyFrame_SetLineNumber(py_frame, py_line); + PyTraceBack_Here(py_frame); +bad: + Py_XDECREF(py_code); + Py_XDECREF(py_frame); +} +#endif + +/* MemviewRefcount */ +#include +#ifndef _Py_NO_RETURN +#define _Py_NO_RETURN +#endif +_Py_NO_RETURN +static void __pyx_fatalerror(const char *fmt, ...) { + va_list vargs; + char msg[200]; +#if PY_VERSION_HEX >= 0x030A0000 || defined(HAVE_STDARG_PROTOTYPES) + va_start(vargs, fmt); +#else + va_start(vargs); +#endif + vsnprintf(msg, 200, fmt, vargs); + va_end(vargs); + Py_FatalError(msg); +} +static CYTHON_INLINE int +__pyx_add_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)++; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE int +__pyx_sub_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)--; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE void +__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) +{ + __pyx_nonatomic_int_type old_acquisition_count; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) { + return; + } + old_acquisition_count = __pyx_add_acquisition_count(memview); + if (unlikely(old_acquisition_count <= 0)) { + if (likely(old_acquisition_count == 0)) { + if (have_gil) { + Py_INCREF((PyObject *) memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_INCREF((PyObject *) memview); + PyGILState_Release(_gilstate); + } + } else { + __pyx_fatalerror("Acquisition count is %d (line %d)", + old_acquisition_count+1, lineno); + } + } +} +static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *memslice, + int have_gil, int lineno) { + __pyx_nonatomic_int_type old_acquisition_count; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) { + memslice->memview = NULL; + return; + } + old_acquisition_count = __pyx_sub_acquisition_count(memview); + memslice->data = NULL; + if (likely(old_acquisition_count > 1)) { + memslice->memview = NULL; + } else if (likely(old_acquisition_count == 1)) { + if (have_gil) { + Py_CLEAR(memslice->memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_CLEAR(memslice->memview); + PyGILState_Release(_gilstate); + } + } else { + __pyx_fatalerror("Acquisition count is %d (line %d)", + old_acquisition_count-1, lineno); + } +} + +/* MemviewSliceIsContig */ +static int +__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) +{ + int i, index, step, start; + Py_ssize_t itemsize = mvs.memview->view.itemsize; + if (order == 'F') { + step = 1; + start = 0; + } else { + step = -1; + start = ndim - 1; + } + for (i = 0; i < ndim; i++) { + index = start + step * i; + if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) + return 0; + itemsize *= mvs.shape[index]; + } + return 1; +} + +/* OverlappingSlices */ +static void +__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, + void **out_start, void **out_end, + int ndim, size_t itemsize) +{ + char *start, *end; + int i; + start = end = slice->data; + for (i = 0; i < ndim; i++) { + Py_ssize_t stride = slice->strides[i]; + Py_ssize_t extent = slice->shape[i]; + if (extent == 0) { + *out_start = *out_end = start; + return; + } else { + if (stride > 0) + end += stride * (extent - 1); + else + start += stride * (extent - 1); + } + } + *out_start = start; + *out_end = end + itemsize; +} +static int +__pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize) +{ + void *start1, *end1, *start2, *end2; + __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); + __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); + return (start1 < end2) && (start2 < end1); +} + +/* MemviewSliceInit */ +static int +__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference) +{ + __Pyx_RefNannyDeclarations + int i, retval=-1; + Py_buffer *buf = &memview->view; + __Pyx_RefNannySetupContext("init_memviewslice", 0); + if (unlikely(memviewslice->memview || memviewslice->data)) { + PyErr_SetString(PyExc_ValueError, + "memviewslice is already initialized!"); + goto fail; + } + if (buf->strides) { + for (i = 0; i < ndim; i++) { + memviewslice->strides[i] = buf->strides[i]; + } + } else { + Py_ssize_t stride = buf->itemsize; + for (i = ndim - 1; i >= 0; i--) { + memviewslice->strides[i] = stride; + stride *= buf->shape[i]; + } + } + for (i = 0; i < ndim; i++) { + memviewslice->shape[i] = buf->shape[i]; + if (buf->suboffsets) { + memviewslice->suboffsets[i] = buf->suboffsets[i]; + } else { + memviewslice->suboffsets[i] = -1; + } + } + memviewslice->memview = memview; + memviewslice->data = (char *)buf->buf; + if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { + Py_INCREF((PyObject*)memview); + } + retval = 0; + goto no_fail; +fail: + memviewslice->memview = 0; + memviewslice->data = 0; + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} + +/* SliceMemoryviewSlice */ +static void __pyx_memoryview_slice_memviewslice_err_dim(PyObject *error, const char* msg, int dim) { + PyGILState_STATE gilstate = PyGILState_Ensure(); + PyErr_Format(error, msg, dim); + PyGILState_Release(gilstate); +} +static CYTHON_INLINE int __pyx_memoryview_slice_memviewslice( + __Pyx_memviewslice *dst, + Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + int dim, int new_ndim, int *suboffset_dim, + Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step, + int have_start, int have_stop, int have_step, + int is_slice) { + if (!is_slice) { + if (start < 0) { + start += shape; + } + if (unlikely(!(0 <= start && start < shape))) { + __pyx_memoryview_slice_memviewslice_err_dim(PyExc_IndexError, "Index out of bounds (axis %d)", dim); + return -1; + } + } else { + int negative_step; + if (have_step) { + negative_step = step < 0; + if (unlikely(step == 0)) { + __pyx_memoryview_slice_memviewslice_err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim); + return -1; + } + } else { + negative_step = 0; + step = 1; + } + if (have_start) { + if (start < 0) { + start += shape; + if (start < 0) { + start = 0; + } + } else if (start >= shape) { + start = negative_step ? (shape - 1) : shape; + } + } else { + start = negative_step ? (shape - 1) : 0; + } + if (have_stop) { + if (stop < 0) { + stop += shape; + if (stop < 0) { + stop = 0; + } + } else if (stop > shape) { + stop = shape; + } + } else { + stop = negative_step ? -1 : shape; + } + Py_ssize_t new_shape = (stop - start) / step; + if ((stop - start) - step * new_shape) { + ++new_shape; + } + if (new_shape < 0) { + new_shape = 0; + } + dst->strides[new_ndim] = stride * step; + dst->shape[new_ndim] = new_shape; + dst->suboffsets[new_ndim] = suboffset; + } + if (suboffset_dim[0] < 0) { + dst->data += start * stride; + } else { + dst->suboffsets[suboffset_dim[0]] += start * stride; + } + if (suboffset >= 0) { + if (!is_slice) { + if (likely(new_ndim == 0)) { + dst->data = ((char **)(dst->data))[0] + suboffset; + } else { + __pyx_memoryview_slice_memviewslice_err_dim( + PyExc_IndexError, + "All dimensions preceding dimension %d must be indexed and not sliced", + dim); + return -1; + } + } else { + suboffset_dim[0] = new_ndim; + } + } + return 0; +} + +/* IsLittleEndian (used by BufferFormatCheck) */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) +{ + union { + uint32_t u32; + uint8_t u8[4]; + } S; + S.u32 = 0x01020304; + return S.u8[0] == 4; +} + +/* BufferFormatCheck (used by MemviewSliceValidateAndInit) */ +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + const __Pyx_TypeInfo* type) { + stack[0].field = &ctx->root; + stack[0].parent_offset = 0; + ctx->root.type = type; + ctx->root.name = "buffer dtype"; + ctx->root.offset = 0; + ctx->head = stack; + ctx->head->field = &ctx->root; + ctx->fmt_offset = 0; + ctx->head->parent_offset = 0; + ctx->new_packmode = '@'; + ctx->enc_packmode = '@'; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->is_complex = 0; + ctx->is_valid_array = 0; + ctx->struct_alignment = 0; + while (type->typegroup == 'S') { + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = 0; + type = type->fields->type; + } +} +static int __Pyx_BufFmt_ParseNumber(const char** ts) { + int count; + const char* t = *ts; + if (*t < '0' || *t > '9') { + return -1; + } else { + count = *t++ - '0'; + while (*t >= '0' && *t <= '9') { + count *= 10; + count += *t++ - '0'; + } + } + *ts = t; + return count; +} +static int __Pyx_BufFmt_ExpectNumber(const char **ts) { + int number = __Pyx_BufFmt_ParseNumber(ts); + if (number == -1) + PyErr_Format(PyExc_ValueError,\ + "Does not understand character buffer dtype format string ('%c')", **ts); + return number; +} +static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { + PyErr_Format(PyExc_ValueError, + "Unexpected format string character: '%c'", ch); +} +static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { + switch (ch) { + case '?': return "'bool'"; + case 'c': return "'char'"; + case 'b': return "'signed char'"; + case 'B': return "'unsigned char'"; + case 'h': return "'short'"; + case 'H': return "'unsigned short'"; + case 'i': return "'int'"; + case 'I': return "'unsigned int'"; + case 'l': return "'long'"; + case 'L': return "'unsigned long'"; + case 'q': return "'long long'"; + case 'Q': return "'unsigned long long'"; + case 'f': return (is_complex ? "'complex float'" : "'float'"); + case 'd': return (is_complex ? "'complex double'" : "'double'"); + case 'g': return (is_complex ? "'complex long double'" : "'long double'"); + case 'T': return "a struct"; + case 'O': return "Python object"; + case 'P': return "a pointer"; + case 's': case 'p': return "a string"; + case 0: return "end"; + default: return "unparsable format string"; + } +} +static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return 2; + case 'i': case 'I': case 'l': case 'L': return 4; + case 'q': case 'Q': return 8; + case 'f': return (is_complex ? 8 : 4); + case 'd': return (is_complex ? 16 : 8); + case 'g': { + PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); + return 0; + } + case 'O': case 'P': return sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(short); + case 'i': case 'I': return sizeof(int); + case 'l': case 'L': return sizeof(long); + case 'q': case 'Q': return sizeof(PY_LONG_LONG); + case 'f': return sizeof(float) * (is_complex ? 2 : 1); + case 'd': return sizeof(double) * (is_complex ? 2 : 1); + case 'g': return sizeof(long double) * (is_complex ? 2 : 1); + case 'O': case 'P': return sizeof(void*); + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +typedef struct { char c; short x; } __Pyx_st_short; +typedef struct { char c; int x; } __Pyx_st_int; +typedef struct { char c; long x; } __Pyx_st_long; +typedef struct { char c; float x; } __Pyx_st_float; +typedef struct { char c; double x; } __Pyx_st_double; +typedef struct { char c; long double x; } __Pyx_st_longdouble; +typedef struct { char c; void *x; } __Pyx_st_void_p; +typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; +static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) { + CYTHON_UNUSED_VAR(is_complex); + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); + case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); + case 'f': return sizeof(__Pyx_st_float) - sizeof(float); + case 'd': return sizeof(__Pyx_st_double) - sizeof(double); + case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +/* These are for computing the padding at the end of the struct to align + on the first member of the struct. This will probably the same as above, + but we don't have any guarantees. + */ +typedef struct { short x; char c; } __Pyx_pad_short; +typedef struct { int x; char c; } __Pyx_pad_int; +typedef struct { long x; char c; } __Pyx_pad_long; +typedef struct { float x; char c; } __Pyx_pad_float; +typedef struct { double x; char c; } __Pyx_pad_double; +typedef struct { long double x; char c; } __Pyx_pad_longdouble; +typedef struct { void *x; char c; } __Pyx_pad_void_p; +typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; +static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, int is_complex) { + CYTHON_UNUSED_VAR(is_complex); + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); + case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); + case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); + case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); + case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { + switch (ch) { + case 'c': + return 'H'; + case 'b': case 'h': case 'i': + case 'l': case 'q': case 's': case 'p': + return 'I'; + case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': + return 'U'; + case 'f': case 'd': case 'g': + return (is_complex ? 'C' : 'R'); + case 'O': + return 'O'; + case 'P': + return 'P'; + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { + if (ctx->head == NULL || ctx->head->field == &ctx->root) { + const char* expected; + const char* quote; + if (ctx->head == NULL) { + expected = "end"; + quote = ""; + } else { + expected = ctx->head->field->type->name; + quote = "'"; + } + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected %s%s%s but got %s", + quote, expected, quote, + __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); + } else { + const __Pyx_StructField* field = ctx->head->field; + const __Pyx_StructField* parent = (ctx->head - 1)->field; + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", + field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), + parent->type->name, field->name); + } +} +static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { + char group; + size_t size, offset, arraysize = 1; + if (ctx->enc_type == 0) return 0; + if (ctx->head->field->type->arraysize[0]) { + int i, ndim = 0; + if (ctx->enc_type == 's' || ctx->enc_type == 'p') { + ctx->is_valid_array = ctx->head->field->type->ndim == 1; + ndim = 1; + if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { + PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %zu", + ctx->head->field->type->arraysize[0], ctx->enc_count); + return -1; + } + } + if (!ctx->is_valid_array) { + PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", + ctx->head->field->type->ndim, ndim); + return -1; + } + for (i = 0; i < ctx->head->field->type->ndim; i++) { + arraysize *= ctx->head->field->type->arraysize[i]; + } + ctx->is_valid_array = 0; + ctx->enc_count = 1; + } + group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); + do { + const __Pyx_StructField* field = ctx->head->field; + const __Pyx_TypeInfo* type = field->type; + if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { + size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); + } else { + size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); + } + if (ctx->enc_packmode == '@') { + size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); + size_t align_mod_offset; + if (align_at == 0) return -1; + align_mod_offset = ctx->fmt_offset % align_at; + if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; + if (ctx->struct_alignment == 0) + ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, + ctx->is_complex); + } + if (type->size != size || type->typegroup != group) { + if (type->typegroup == 'C' && type->fields != NULL) { + size_t parent_offset = ctx->head->parent_offset + field->offset; + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = parent_offset; + continue; + } + if ((type->typegroup == 'H' || group == 'H') && type->size == size) { + } else { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + } + offset = ctx->head->parent_offset + field->offset; + if (ctx->fmt_offset != offset) { + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", + (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); + return -1; + } + ctx->fmt_offset += size; + if (arraysize) + ctx->fmt_offset += (arraysize - 1) * size; + --ctx->enc_count; + while (1) { + if (field == &ctx->root) { + ctx->head = NULL; + if (ctx->enc_count != 0) { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + break; + } + ctx->head->field = ++field; + if (field->type == NULL) { + --ctx->head; + field = ctx->head->field; + continue; + } else if (field->type->typegroup == 'S') { + size_t parent_offset = ctx->head->parent_offset + field->offset; + if (field->type->fields->type == NULL) continue; + field = field->type->fields; + ++ctx->head; + ctx->head->field = field; + ctx->head->parent_offset = parent_offset; + break; + } else { + break; + } + } + } while (ctx->enc_count); + ctx->enc_type = 0; + ctx->is_complex = 0; + return 0; +} +static int +__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) +{ + const char *ts = *tsp; + int i = 0, number, ndim; + ++ts; + if (ctx->new_count != 1) { + PyErr_SetString(PyExc_ValueError, + "Cannot handle repeated arrays in format string"); + return -1; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return -1; + ndim = ctx->head->field->type->ndim; + while (*ts && *ts != ')') { + switch (*ts) { + case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; + default: break; + } + number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return -1; + if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) { + PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %d", + ctx->head->field->type->arraysize[i], number); + return -1; + } + if (*ts != ',' && *ts != ')') { + PyErr_Format(PyExc_ValueError, + "Expected a comma in format string, got '%c'", *ts); + return -1; + } + if (*ts == ',') ts++; + i++; + } + if (i != ndim) { + PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", + ctx->head->field->type->ndim, i); + return -1; + } + if (!*ts) { + PyErr_SetString(PyExc_ValueError, + "Unexpected end of format string, expected ')'"); + return -1; + } + ctx->is_valid_array = 1; + ctx->new_count = 1; + *tsp = ++ts; + return 0; +} +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { + int got_Z = 0; + while (1) { + switch(*ts) { + case 0: + if (ctx->enc_type != 0 && ctx->head == NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + if (ctx->head != NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + return ts; + case ' ': + case '\r': + case '\n': + ++ts; + break; + case '<': + if (!__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '>': + case '!': + if (__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '=': + case '@': + case '^': + ctx->new_packmode = *ts++; + break; + case 'T': + { + const char* ts_after_sub; + size_t i, struct_count = ctx->new_count; + size_t struct_alignment = ctx->struct_alignment; + ctx->new_count = 1; + ++ts; + if (*ts != '{') { + PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + ctx->enc_count = 0; + ctx->struct_alignment = 0; + ++ts; + ts_after_sub = ts; + for (i = 0; i != struct_count; ++i) { + ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); + if (!ts_after_sub) return NULL; + } + ts = ts_after_sub; + if (struct_alignment) ctx->struct_alignment = struct_alignment; + } + break; + case '}': + { + size_t alignment = ctx->struct_alignment; + ++ts; + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + if (alignment && ctx->fmt_offset % alignment) { + ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); + } + } + return ts; + case 'x': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->fmt_offset += ctx->new_count; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->enc_packmode = ctx->new_packmode; + ++ts; + break; + case 'Z': + got_Z = 1; + ++ts; + if (*ts != 'f' && *ts != 'd' && *ts != 'g') { + __Pyx_BufFmt_RaiseUnexpectedChar('Z'); + return NULL; + } + CYTHON_FALLTHROUGH; + case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': + case 'l': case 'L': case 'q': case 'Q': + case 'f': case 'd': case 'g': + case 'O': case 'p': + if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && + (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { + ctx->enc_count += ctx->new_count; + ctx->new_count = 1; + got_Z = 0; + ++ts; + break; + } + CYTHON_FALLTHROUGH; + case 's': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_count = ctx->new_count; + ctx->enc_packmode = ctx->new_packmode; + ctx->enc_type = *ts; + ctx->is_complex = got_Z; + ++ts; + ctx->new_count = 1; + got_Z = 0; + break; + case ':': + ++ts; + while(*ts != ':') ++ts; + ++ts; + break; + case '(': + if (__pyx_buffmt_parse_array(ctx, &ts) < 0) return NULL; + break; + default: + { + int number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + ctx->new_count = (size_t)number; + } + } + } +} + +/* TypeInfoCompare (used by MemviewSliceValidateAndInit) */ + static int + __pyx_typeinfo_cmp(const __Pyx_TypeInfo *a, const __Pyx_TypeInfo *b) + { + int i; + if (!a || !b) + return 0; + if (a == b) + return 1; + if (a->size != b->size || a->typegroup != b->typegroup || + a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { + if (a->typegroup == 'H' || b->typegroup == 'H') { + return a->size == b->size; + } else { + return 0; + } + } + if (a->ndim) { + for (i = 0; i < a->ndim; i++) + if (a->arraysize[i] != b->arraysize[i]) + return 0; + } + if (a->typegroup == 'S') { + if (a->flags != b->flags) + return 0; + if (a->fields || b->fields) { + if (!(a->fields && b->fields)) + return 0; + for (i = 0; a->fields[i].type && b->fields[i].type; i++) { + const __Pyx_StructField *field_a = a->fields + i; + const __Pyx_StructField *field_b = b->fields + i; + if (field_a->offset != field_b->offset || + !__pyx_typeinfo_cmp(field_a->type, field_b->type)) + return 0; + } + return !a->fields[i].type && !b->fields[i].type; + } + } + return 1; + } + +/* MemviewSliceValidateAndInit (used by ObjectToMemviewSlice) */ + static int + __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) + { + if (buf->shape[dim] <= 1) + return 1; + if (buf->strides) { + if (spec & __Pyx_MEMVIEW_CONTIG) { + if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { + if (unlikely(buf->strides[dim] != sizeof(void *))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly contiguous " + "in dimension %d.", dim); + goto fail; + } + } else if (unlikely(buf->strides[dim] != buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_FOLLOW) { + Py_ssize_t stride = buf->strides[dim]; + if (stride < 0) + stride = -stride; + if (unlikely(stride < buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + } else { + if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not contiguous in " + "dimension %d", dim); + goto fail; + } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not indirect in " + "dimension %d", dim); + goto fail; + } else if (unlikely(buf->suboffsets)) { + PyErr_SetString(PyExc_ValueError, + "Buffer exposes suboffsets but no strides"); + goto fail; + } + } + return 1; + fail: + return 0; + } + static int + __pyx_check_suboffsets(Py_buffer *buf, int dim, int ndim, int spec) + { + CYTHON_UNUSED_VAR(ndim); + if (spec & __Pyx_MEMVIEW_DIRECT) { + if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { + PyErr_Format(PyExc_ValueError, + "Buffer not compatible with direct access " + "in dimension %d.", dim); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_PTR) { + if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly accessible " + "in dimension %d.", dim); + goto fail; + } + } + return 1; + fail: + return 0; + } + static int + __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) + { + int i; + if (c_or_f_flag & __Pyx_IS_F_CONTIG) { + Py_ssize_t stride = 1; + for (i = 0; i < ndim; i++) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not fortran contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { + Py_ssize_t stride = 1; + for (i = ndim - 1; i >- 1; i--) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not C contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } + return 1; + fail: + return 0; + } + static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + const __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj) + { + struct __pyx_memoryview_obj *memview, *new_memview; + __Pyx_RefNannyDeclarations + Py_buffer *buf; + int i, spec = 0, retval = -1; + __Pyx_BufFmt_Context ctx; + int from_memoryview = __pyx_memoryview_check(original_obj); + __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); + if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) + original_obj)->typeinfo)) { + memview = (struct __pyx_memoryview_obj *) original_obj; + new_memview = NULL; + } else { + memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + original_obj, buf_flags, 0, dtype); + new_memview = memview; + if (unlikely(!memview)) + goto fail; + } + buf = &memview->view; + if (unlikely(buf->ndim != ndim)) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + ndim, buf->ndim); + goto fail; + } + if (new_memview) { + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; + } + if (unlikely((unsigned) buf->itemsize != dtype->size)) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " + "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", + buf->itemsize, + (buf->itemsize > 1) ? "s" : "", + dtype->name, + dtype->size, + (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->len > 0) { + for (i = 0; i < ndim; i++) { + spec = axes_specs[i]; + if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) + goto fail; + if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) + goto fail; + } + if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) + goto fail; + } + if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, + new_memview != NULL) == -1)) { + goto fail; + } + retval = 0; + goto no_fail; + fail: + Py_XDECREF((PyObject*)new_memview); + retval = -1; + no_fail: + __Pyx_RefNannyFinishContext(); + return retval; + } + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; + __pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; + } + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; + __pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; + } + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; + __pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; + } + +/* CIntFromPyVerify */ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) + #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) + #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + +/* MemviewSliceCopy */ + static __Pyx_memviewslice + __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object) + { + __Pyx_RefNannyDeclarations + int i; + __Pyx_memviewslice new_mvs = __Pyx_MEMSLICE_INIT; + struct __pyx_memoryview_obj *from_memview = from_mvs->memview; + Py_buffer *buf = &from_memview->view; + PyObject *shape_tuple = NULL; + struct __pyx_array_obj *array_obj = NULL; + struct __pyx_memoryview_obj *memview_obj = NULL; + __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); + for (i = 0; i < ndim; i++) { + if (unlikely(from_mvs->suboffsets[i] >= 0)) { + PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " + "indirect dimensions (axis %d)", i); + goto fail; + } + } + shape_tuple = PyTuple_New(ndim); + if (unlikely(!shape_tuple)) { + goto fail; + } + __Pyx_GOTREF(shape_tuple); + for(i = 0; i < ndim; i++) { + PyObject *temp_int = PyLong_FromSsize_t(from_mvs->shape[i]); + if(unlikely(!temp_int)) { + goto fail; + } else { + #if CYTHON_ASSUME_SAFE_MACROS + PyTuple_SET_ITEM(shape_tuple, i, temp_int); + #else + if (PyTuple_SetItem(shape_tuple, i, temp_int) < 0) { + goto fail; + } + #endif + } + } + array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, mode, NULL); + if (unlikely(!array_obj)) { + goto fail; + } + __Pyx_GOTREF(array_obj); + memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + (PyObject *) array_obj, contig_flag, + dtype_is_object, + from_mvs->memview->typeinfo); + if (unlikely(!memview_obj)) + goto fail; + if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) + goto fail; + if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, + dtype_is_object) < 0)) + goto fail; + goto no_fail; + fail: + __Pyx_XDECREF((PyObject *) new_mvs.memview); + new_mvs.memview = NULL; + new_mvs.data = NULL; + no_fail: + __Pyx_XDECREF(shape_tuple); + __Pyx_XDECREF((PyObject *) array_obj); + __Pyx_RefNannyFinishContext(); + return new_mvs; + } + +/* PyObjectVectorCallKwBuilder (used by CIntToPy) */ + #if CYTHON_VECTORCALL + static int __Pyx_VectorcallBuilder_AddArg(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n) { + (void)__Pyx_PyObject_FastCallDict; + Py_INCREF(key); + if (__Pyx_PyTuple_SET_ITEM(builder, n, key) != (0)) return -1; + args[n] = value; + return 0; + } + CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n) { + (void)__Pyx_VectorcallBuilder_AddArgStr; + if (unlikely(!PyUnicode_Check(key))) { + PyErr_SetString(PyExc_TypeError, "keywords must be strings"); + return -1; + } + return __Pyx_VectorcallBuilder_AddArg(key, value, builder, args, n); + } + static int __Pyx_VectorcallBuilder_AddArgStr(const char *key, PyObject *value, PyObject *builder, PyObject **args, int n) { + PyObject *pyKey = PyUnicode_FromString(key); + if (!pyKey) return -1; + return __Pyx_VectorcallBuilder_AddArg(pyKey, value, builder, args, n); + } + #else // CYTHON_VECTORCALL + CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, CYTHON_UNUSED PyObject **args, CYTHON_UNUSED int n) { + if (unlikely(!PyUnicode_Check(key))) { + PyErr_SetString(PyExc_TypeError, "keywords must be strings"); + return -1; + } + return PyDict_SetItem(builder, key, value); + } + #endif + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyLong_From_int(int value) { + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wconversion" + #endif + const int neg_one = (int) -1, const_zero = (int) 0; + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic pop + #endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(int) < sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(int) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); + #if !CYTHON_COMPILING_IN_PYPY + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); + #endif + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); + } + } + { + unsigned char *bytes = (unsigned char *)&value; + #if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4 + if (is_unsigned) { + return PyLong_FromUnsignedNativeBytes(bytes, sizeof(value), -1); + } else { + return PyLong_FromNativeBytes(bytes, sizeof(value), -1); + } + #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 + int one = 1; int little = (int)*(unsigned char *)&one; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + #else + int one = 1; int little = (int)*(unsigned char *)&one; + PyObject *from_bytes, *result = NULL, *kwds = NULL; + PyObject *py_bytes = NULL, *order_str = NULL; + from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); + if (!from_bytes) return NULL; + py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(int)); + if (!py_bytes) goto limited_bad; + order_str = PyUnicode_FromString(little ? "little" : "big"); + if (!order_str) goto limited_bad; + { + PyObject *args[3+(CYTHON_VECTORCALL ? 1 : 0)] = { NULL, py_bytes, order_str }; + if (!is_unsigned) { + kwds = __Pyx_MakeVectorcallBuilderKwds(1); + if (!kwds) goto limited_bad; + if (__Pyx_VectorcallBuilder_AddArgStr("signed", __Pyx_NewRef(Py_True), kwds, args+3, 0) < 0) goto limited_bad; + } + result = __Pyx_Object_Vectorcall_CallFromBuilder(from_bytes, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, kwds); + } + limited_bad: + Py_XDECREF(kwds); + Py_XDECREF(order_str); + Py_XDECREF(py_bytes); + Py_XDECREF(from_bytes); + return result; + #endif + } + } + +/* CIntFromPy */ + static CYTHON_INLINE int __Pyx_PyLong_As_int(PyObject *x) { + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wconversion" + #endif + const int neg_one = (int) -1, const_zero = (int) 0; + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic pop + #endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!PyLong_Check(x))) { + int val; + PyObject *tmp = __Pyx_PyNumber_Long(x); + if (!tmp) return (int) -1; + val = __Pyx_PyLong_As_int(tmp); + Py_DECREF(tmp); + return val; + } + if (is_unsigned) { + #if CYTHON_USE_PYLONG_INTERNALS + if (unlikely(__Pyx_PyLong_IsNeg(x))) { + goto raise_neg_overflow; + } else if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_DigitCount(x)) { + case 2: + if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) >= 2 * PyLong_SHIFT)) { + return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 3: + if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) >= 3 * PyLong_SHIFT)) { + return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 4: + if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) >= 4 * PyLong_SHIFT)) { + return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + } + } + #endif + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } + #else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } + #endif + if ((sizeof(int) <= sizeof(unsigned long))) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) + } else if ((sizeof(int) <= sizeof(unsigned PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) + } + } else { + #if CYTHON_USE_PYLONG_INTERNALS + if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_SignedDigitCount(x)) { + case -2: + if ((8 * sizeof(int) - 1 > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { + return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 2: + if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { + return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -3: + if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { + return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 3: + if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { + return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -4: + if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { + return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 4: + if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { + return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + } + } + #endif + if ((sizeof(int) <= sizeof(long))) { + __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) + } else if ((sizeof(int) <= sizeof(PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { + int val; + int ret = -1; + #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API + Py_ssize_t bytes_copied = PyLong_AsNativeBytes( + x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); + if (unlikely(bytes_copied == -1)) { + } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { + goto raise_overflow; + } else { + ret = 0; + } + #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + ret = _PyLong_AsByteArray((PyLongObject *)x, + bytes, sizeof(val), + is_little, !is_unsigned); + #else + PyObject *v; + PyObject *stepval = NULL, *mask = NULL, *shift = NULL; + int bits, remaining_bits, is_negative = 0; + int chunk_size = (sizeof(long) < 8) ? 30 : 62; + if (likely(PyLong_CheckExact(x))) { + v = __Pyx_NewRef(x); + } else { + v = PyNumber_Long(x); + if (unlikely(!v)) return (int) -1; + assert(PyLong_CheckExact(v)); + } + { + int result = PyObject_RichCompareBool(v, Py_False, Py_LT); + if (unlikely(result < 0)) { + Py_DECREF(v); + return (int) -1; + } + is_negative = result == 1; + } + if (is_unsigned && unlikely(is_negative)) { + Py_DECREF(v); + goto raise_neg_overflow; + } else if (is_negative) { + stepval = PyNumber_Invert(v); + Py_DECREF(v); + if (unlikely(!stepval)) + return (int) -1; + } else { + stepval = v; + } + v = NULL; + val = (int) 0; + mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; + shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; + for (bits = 0; bits < (int) sizeof(int) * 8 - chunk_size; bits += chunk_size) { + PyObject *tmp, *digit; + long idigit; + digit = PyNumber_And(stepval, mask); + if (unlikely(!digit)) goto done; + idigit = PyLong_AsLong(digit); + Py_DECREF(digit); + if (unlikely(idigit < 0)) goto done; + val |= ((int) idigit) << bits; + tmp = PyNumber_Rshift(stepval, shift); + if (unlikely(!tmp)) goto done; + Py_DECREF(stepval); stepval = tmp; + } + Py_DECREF(shift); shift = NULL; + Py_DECREF(mask); mask = NULL; + { + long idigit = PyLong_AsLong(stepval); + if (unlikely(idigit < 0)) goto done; + remaining_bits = ((int) sizeof(int) * 8) - bits - (is_unsigned ? 0 : 1); + if (unlikely(idigit >= (1L << remaining_bits))) + goto raise_overflow; + val |= ((int) idigit) << bits; + } + if (!is_unsigned) { + if (unlikely(val & (((int) 1) << (sizeof(int) * 8 - 1)))) + goto raise_overflow; + if (is_negative) + val = ~val; + } + ret = 0; + done: + Py_XDECREF(shift); + Py_XDECREF(mask); + Py_XDECREF(stepval); + #endif + if (unlikely(ret)) + return (int) -1; + return val; + } + raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int) -1; + raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to int"); + return (int) -1; + } + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value) { + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wconversion" + #endif + const long neg_one = (long) -1, const_zero = (long) 0; + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic pop + #endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); + #if !CYTHON_COMPILING_IN_PYPY + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); + #endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); + } + } + { + unsigned char *bytes = (unsigned char *)&value; + #if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4 + if (is_unsigned) { + return PyLong_FromUnsignedNativeBytes(bytes, sizeof(value), -1); + } else { + return PyLong_FromNativeBytes(bytes, sizeof(value), -1); + } + #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 + int one = 1; int little = (int)*(unsigned char *)&one; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + #else + int one = 1; int little = (int)*(unsigned char *)&one; + PyObject *from_bytes, *result = NULL, *kwds = NULL; + PyObject *py_bytes = NULL, *order_str = NULL; + from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); + if (!from_bytes) return NULL; + py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(long)); + if (!py_bytes) goto limited_bad; + order_str = PyUnicode_FromString(little ? "little" : "big"); + if (!order_str) goto limited_bad; + { + PyObject *args[3+(CYTHON_VECTORCALL ? 1 : 0)] = { NULL, py_bytes, order_str }; + if (!is_unsigned) { + kwds = __Pyx_MakeVectorcallBuilderKwds(1); + if (!kwds) goto limited_bad; + if (__Pyx_VectorcallBuilder_AddArgStr("signed", __Pyx_NewRef(Py_True), kwds, args+3, 0) < 0) goto limited_bad; + } + result = __Pyx_Object_Vectorcall_CallFromBuilder(from_bytes, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, kwds); + } + limited_bad: + Py_XDECREF(kwds); + Py_XDECREF(order_str); + Py_XDECREF(py_bytes); + Py_XDECREF(from_bytes); + return result; + #endif + } + } + +/* PyObjectCall2Args (used by PyObjectCallMethod1) */ + static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args[3] = {NULL, arg1, arg2}; + return __Pyx_PyObject_FastCall(function, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); + } + +/* PyObjectCallMethod1 (used by UpdateUnpickledDict) */ + #if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) + static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) { + PyObject *result = __Pyx_PyObject_CallOneArg(method, arg); + Py_DECREF(method); + return result; + } + #endif + static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) { + #if CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000)) + PyObject *args[2] = {obj, arg}; + (void) __Pyx_PyObject_CallOneArg; + (void) __Pyx_PyObject_Call2Args; + return PyObject_VectorcallMethod(method_name, args, 2 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); + #else + PyObject *method = NULL, *result; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_Call2Args(method, obj, arg); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) return NULL; + return __Pyx__PyObject_CallMethod1(method, arg); + #endif + } + +/* UpdateUnpickledDict */ + static int __Pyx__UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index) { + PyObject *state_dict = __Pyx_PySequence_ITEM(state, index); + if (unlikely(!state_dict)) { + return -1; + } + int non_empty = PyObject_IsTrue(state_dict); + if (non_empty == 0) { + Py_DECREF(state_dict); + return 0; + } else if (unlikely(non_empty == -1)) { + return -1; + } + PyObject *dict; + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 + dict = PyObject_GetAttrString(obj, "__dict__"); + #else + dict = PyObject_GenericGetDict(obj, NULL); + #endif + if (unlikely(!dict)) { + Py_DECREF(state_dict); + return -1; + } + int result; + if (likely(PyDict_CheckExact(dict))) { + result = PyDict_Update(dict, state_dict); + } else { + PyObject *obj_result = __Pyx_PyObject_CallMethod1(dict, __pyx_mstate_global->__pyx_n_u_update, state_dict); + if (likely(obj_result)) { + Py_DECREF(obj_result); + result = 0; + } else { + result = -1; + } + } + Py_DECREF(state_dict); + Py_DECREF(dict); + return result; + } + static int __Pyx_UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index) { + Py_ssize_t state_size = __Pyx_PyTuple_GET_SIZE(state); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(state_size == -1)) return -1; + #endif + if (state_size <= index) { + return 0; + } + return __Pyx__UpdateUnpickledDict(obj, state, index); + } + +/* CheckUnpickleChecksum */ + static void __Pyx_RaiseUnpickleChecksumError(long checksum, long checksum1, long checksum2, long checksum3, const char *members) { + PyObject *pickle_module = PyImport_ImportModule("pickle"); + if (unlikely(!pickle_module)) return; + PyObject *pickle_error = PyObject_GetAttrString(pickle_module, "PickleError"); + Py_DECREF(pickle_module); + if (unlikely(!pickle_error)) return; + if (checksum2 == checksum1) { + PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x) = (%s))", + checksum, checksum1, members); + } else if (checksum3 == checksum2) { + PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x, 0x%x) = (%s))", + checksum, checksum1, checksum2, members); + } else { + PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x, 0x%x, 0x%x) = (%s))", + checksum, checksum1, checksum2, checksum3, members); + } + Py_DECREF(pickle_error); + } + static int __Pyx_CheckUnpickleChecksum(long checksum, long checksum1, long checksum2, long checksum3, const char *members) { + int found = 0; + found |= checksum1 == checksum; + found |= checksum2 == checksum; + found |= checksum3 == checksum; + if (likely(found)) + return 0; + __Pyx_RaiseUnpickleChecksumError(checksum, checksum1, checksum2, checksum3, members); + return -1; + } + +/* CIntFromPy */ + static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *x) { + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wconversion" + #endif + const long neg_one = (long) -1, const_zero = (long) 0; + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic pop + #endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!PyLong_Check(x))) { + long val; + PyObject *tmp = __Pyx_PyNumber_Long(x); + if (!tmp) return (long) -1; + val = __Pyx_PyLong_As_long(tmp); + Py_DECREF(tmp); + return val; + } + if (is_unsigned) { + #if CYTHON_USE_PYLONG_INTERNALS + if (unlikely(__Pyx_PyLong_IsNeg(x))) { + goto raise_neg_overflow; + } else if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_DigitCount(x)) { + case 2: + if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) >= 2 * PyLong_SHIFT)) { + return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 3: + if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) >= 3 * PyLong_SHIFT)) { + return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 4: + if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) >= 4 * PyLong_SHIFT)) { + return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + } + } + #endif + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } + #else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (long) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } + #endif + if ((sizeof(long) <= sizeof(unsigned long))) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) + } else if ((sizeof(long) <= sizeof(unsigned PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) + } + } else { + #if CYTHON_USE_PYLONG_INTERNALS + if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_SignedDigitCount(x)) { + case -2: + if ((8 * sizeof(long) - 1 > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { + return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 2: + if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { + return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -3: + if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { + return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 3: + if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { + return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -4: + if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { + return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 4: + if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { + return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + } + } + #endif + if ((sizeof(long) <= sizeof(long))) { + __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) + } else if ((sizeof(long) <= sizeof(PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { + long val; + int ret = -1; + #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API + Py_ssize_t bytes_copied = PyLong_AsNativeBytes( + x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); + if (unlikely(bytes_copied == -1)) { + } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { + goto raise_overflow; + } else { + ret = 0; + } + #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + ret = _PyLong_AsByteArray((PyLongObject *)x, + bytes, sizeof(val), + is_little, !is_unsigned); + #else + PyObject *v; + PyObject *stepval = NULL, *mask = NULL, *shift = NULL; + int bits, remaining_bits, is_negative = 0; + int chunk_size = (sizeof(long) < 8) ? 30 : 62; + if (likely(PyLong_CheckExact(x))) { + v = __Pyx_NewRef(x); + } else { + v = PyNumber_Long(x); + if (unlikely(!v)) return (long) -1; + assert(PyLong_CheckExact(v)); + } + { + int result = PyObject_RichCompareBool(v, Py_False, Py_LT); + if (unlikely(result < 0)) { + Py_DECREF(v); + return (long) -1; + } + is_negative = result == 1; + } + if (is_unsigned && unlikely(is_negative)) { + Py_DECREF(v); + goto raise_neg_overflow; + } else if (is_negative) { + stepval = PyNumber_Invert(v); + Py_DECREF(v); + if (unlikely(!stepval)) + return (long) -1; + } else { + stepval = v; + } + v = NULL; + val = (long) 0; + mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; + shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; + for (bits = 0; bits < (int) sizeof(long) * 8 - chunk_size; bits += chunk_size) { + PyObject *tmp, *digit; + long idigit; + digit = PyNumber_And(stepval, mask); + if (unlikely(!digit)) goto done; + idigit = PyLong_AsLong(digit); + Py_DECREF(digit); + if (unlikely(idigit < 0)) goto done; + val |= ((long) idigit) << bits; + tmp = PyNumber_Rshift(stepval, shift); + if (unlikely(!tmp)) goto done; + Py_DECREF(stepval); stepval = tmp; + } + Py_DECREF(shift); shift = NULL; + Py_DECREF(mask); mask = NULL; + { + long idigit = PyLong_AsLong(stepval); + if (unlikely(idigit < 0)) goto done; + remaining_bits = ((int) sizeof(long) * 8) - bits - (is_unsigned ? 0 : 1); + if (unlikely(idigit >= (1L << remaining_bits))) + goto raise_overflow; + val |= ((long) idigit) << bits; + } + if (!is_unsigned) { + if (unlikely(val & (((long) 1) << (sizeof(long) * 8 - 1)))) + goto raise_overflow; + if (is_negative) + val = ~val; + } + ret = 0; + done: + Py_XDECREF(shift); + Py_XDECREF(mask); + Py_XDECREF(stepval); + #endif + if (unlikely(ret)) + return (long) -1; + return val; + } + raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to long"); + return (long) -1; + raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to long"); + return (long) -1; + } + +/* CIntFromPy */ + static CYTHON_INLINE char __Pyx_PyLong_As_char(PyObject *x) { + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wconversion" + #endif + const char neg_one = (char) -1, const_zero = (char) 0; + #ifdef __Pyx_HAS_GCC_DIAGNOSTIC + #pragma GCC diagnostic pop + #endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!PyLong_Check(x))) { + char val; + PyObject *tmp = __Pyx_PyNumber_Long(x); + if (!tmp) return (char) -1; + val = __Pyx_PyLong_As_char(tmp); + Py_DECREF(tmp); + return val; + } + if (is_unsigned) { + #if CYTHON_USE_PYLONG_INTERNALS + if (unlikely(__Pyx_PyLong_IsNeg(x))) { + goto raise_neg_overflow; + } else if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_DigitCount(x)) { + case 2: + if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) >= 2 * PyLong_SHIFT)) { + return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 3: + if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) >= 3 * PyLong_SHIFT)) { + return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 4: + if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) >= 4 * PyLong_SHIFT)) { + return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + } + } + #endif + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } + #else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (char) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } + #endif + if ((sizeof(char) <= sizeof(unsigned long))) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) + } else if ((sizeof(char) <= sizeof(unsigned PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) + } + } else { + #if CYTHON_USE_PYLONG_INTERNALS + if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_SignedDigitCount(x)) { + case -2: + if ((8 * sizeof(char) - 1 > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { + return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 2: + if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { + return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -3: + if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { + return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 3: + if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { + return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -4: + if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { + return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 4: + if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { + return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + } + } + #endif + if ((sizeof(char) <= sizeof(long))) { + __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) + } else if ((sizeof(char) <= sizeof(PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { + char val; + int ret = -1; + #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API + Py_ssize_t bytes_copied = PyLong_AsNativeBytes( + x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); + if (unlikely(bytes_copied == -1)) { + } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { + goto raise_overflow; + } else { + ret = 0; + } + #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + ret = _PyLong_AsByteArray((PyLongObject *)x, + bytes, sizeof(val), + is_little, !is_unsigned); + #else + PyObject *v; + PyObject *stepval = NULL, *mask = NULL, *shift = NULL; + int bits, remaining_bits, is_negative = 0; + int chunk_size = (sizeof(long) < 8) ? 30 : 62; + if (likely(PyLong_CheckExact(x))) { + v = __Pyx_NewRef(x); + } else { + v = PyNumber_Long(x); + if (unlikely(!v)) return (char) -1; + assert(PyLong_CheckExact(v)); + } + { + int result = PyObject_RichCompareBool(v, Py_False, Py_LT); + if (unlikely(result < 0)) { + Py_DECREF(v); + return (char) -1; + } + is_negative = result == 1; + } + if (is_unsigned && unlikely(is_negative)) { + Py_DECREF(v); + goto raise_neg_overflow; + } else if (is_negative) { + stepval = PyNumber_Invert(v); + Py_DECREF(v); + if (unlikely(!stepval)) + return (char) -1; + } else { + stepval = v; + } + v = NULL; + val = (char) 0; + mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; + shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; + for (bits = 0; bits < (int) sizeof(char) * 8 - chunk_size; bits += chunk_size) { + PyObject *tmp, *digit; + long idigit; + digit = PyNumber_And(stepval, mask); + if (unlikely(!digit)) goto done; + idigit = PyLong_AsLong(digit); + Py_DECREF(digit); + if (unlikely(idigit < 0)) goto done; + val |= ((char) idigit) << bits; + tmp = PyNumber_Rshift(stepval, shift); + if (unlikely(!tmp)) goto done; + Py_DECREF(stepval); stepval = tmp; + } + Py_DECREF(shift); shift = NULL; + Py_DECREF(mask); mask = NULL; + { + long idigit = PyLong_AsLong(stepval); + if (unlikely(idigit < 0)) goto done; + remaining_bits = ((int) sizeof(char) * 8) - bits - (is_unsigned ? 0 : 1); + if (unlikely(idigit >= (1L << remaining_bits))) + goto raise_overflow; + val |= ((char) idigit) << bits; + } + if (!is_unsigned) { + if (unlikely(val & (((char) 1) << (sizeof(char) * 8 - 1)))) + goto raise_overflow; + if (is_negative) + val = ~val; + } + ret = 0; + done: + Py_XDECREF(shift); + Py_XDECREF(mask); + Py_XDECREF(stepval); + #endif + if (unlikely(ret)) + return (char) -1; + return val; + } + raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char) -1; + raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to char"); + return (char) -1; + } + +/* FormatTypeName */ + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 + static __Pyx_TypeName + __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp) + { + PyObject *module = NULL, *name = NULL, *result = NULL; + #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 + name = __Pyx_PyObject_GetAttrStr((PyObject *)tp, + __pyx_mstate_global->__pyx_n_u_qualname); + #else + name = PyType_GetQualName(tp); + #endif + if (unlikely(name == NULL) || unlikely(!PyUnicode_Check(name))) goto bad; + module = __Pyx_PyObject_GetAttrStr((PyObject *)tp, + __pyx_mstate_global->__pyx_n_u_module); + if (unlikely(module == NULL) || unlikely(!PyUnicode_Check(module))) goto bad; + if (PyUnicode_CompareWithASCIIString(module, "builtins") == 0) { + result = name; + name = NULL; + goto done; + } + result = PyUnicode_FromFormat("%U.%U", module, name); + if (unlikely(result == NULL)) goto bad; + done: + Py_XDECREF(name); + Py_XDECREF(module); + return result; + bad: + PyErr_Clear(); + if (name) { + result = name; + name = NULL; + } else { + result = __Pyx_NewRef(__pyx_mstate_global->__pyx_kp_u__7); + } + goto done; + } + #endif + +/* GetRuntimeVersion */ + #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 + void __Pyx_init_runtime_version(void) { + if (__Pyx_cached_runtime_version == 0) { + const char* rt_version = Py_GetVersion(); + unsigned long version = 0; + unsigned long factor = 0x01000000UL; + unsigned int digit = 0; + int i = 0; + while (factor) { + while ('0' <= rt_version[i] && rt_version[i] <= '9') { + digit = digit * 10 + (unsigned int) (rt_version[i] - '0'); + ++i; + } + version += factor * digit; + if (rt_version[i] != '.') + break; + digit = 0; + factor >>= 8; + ++i; + } + __Pyx_cached_runtime_version = version; + } + } + #endif + static unsigned long __Pyx_get_runtime_version(void) { + #if __PYX_LIMITED_VERSION_HEX >= 0x030b0000 + return Py_Version & ~0xFFUL; + #else + return __Pyx_cached_runtime_version; + #endif + } + +/* CheckBinaryVersion */ + static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer) { + const unsigned long MAJOR_MINOR = 0xFFFF0000UL; + if ((rt_version & MAJOR_MINOR) == (ct_version & MAJOR_MINOR)) + return 0; + if (likely(allow_newer && (rt_version & MAJOR_MINOR) > (ct_version & MAJOR_MINOR))) + return 1; + { + char message[200]; + PyOS_snprintf(message, sizeof(message), + "compile time Python version %d.%d " + "of module '%.100s' " + "%s " + "runtime version %d.%d", + (int) (ct_version >> 24), (int) ((ct_version >> 16) & 0xFF), + __Pyx_MODULE_NAME, + (allow_newer) ? "was newer than" : "does not match", + (int) (rt_version >> 24), (int) ((rt_version >> 16) & 0xFF) + ); + return PyErr_WarnEx(NULL, message, 1); + } + } + +/* NewCodeObj */ + #if CYTHON_COMPILING_IN_LIMITED_API + static PyObject* __Pyx__PyCode_New(int a, int p, int k, int l, int s, int f, + PyObject *code, PyObject *c, PyObject* n, PyObject *v, + PyObject *fv, PyObject *cell, PyObject* fn, + PyObject *name, int fline, PyObject *lnos) { + PyObject *exception_table = NULL; + PyObject *types_module=NULL, *code_type=NULL, *result=NULL; + #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 + PyObject *version_info; + PyObject *py_minor_version = NULL; + #endif + long minor_version = 0; + PyObject *type, *value, *traceback; + PyErr_Fetch(&type, &value, &traceback); + #if __PYX_LIMITED_VERSION_HEX >= 0x030b0000 + minor_version = 11; + #else + if (!(version_info = PySys_GetObject("version_info"))) goto end; + if (!(py_minor_version = PySequence_GetItem(version_info, 1))) goto end; + minor_version = PyLong_AsLong(py_minor_version); + Py_DECREF(py_minor_version); + if (minor_version == -1 && PyErr_Occurred()) goto end; + #endif + if (!(types_module = PyImport_ImportModule("types"))) goto end; + if (!(code_type = PyObject_GetAttrString(types_module, "CodeType"))) goto end; + if (minor_version <= 7) { + (void)p; + result = PyObject_CallFunction(code_type, "iiiiiOOOOOOiOOO", a, k, l, s, f, code, + c, n, v, fn, name, fline, lnos, fv, cell); + } else if (minor_version <= 10) { + result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOiOOO", a,p, k, l, s, f, code, + c, n, v, fn, name, fline, lnos, fv, cell); + } else { + if (!(exception_table = PyBytes_FromStringAndSize(NULL, 0))) goto end; + result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOOiOOOO", a,p, k, l, s, f, code, + c, n, v, fn, name, name, fline, lnos, exception_table, fv, cell); + } + end: + Py_XDECREF(code_type); + Py_XDECREF(exception_table); + Py_XDECREF(types_module); + if (type) { + PyErr_Restore(type, value, traceback); + } + return result; + } + #elif PY_VERSION_HEX >= 0x030B0000 + static PyCodeObject* __Pyx__PyCode_New(int a, int p, int k, int l, int s, int f, + PyObject *code, PyObject *c, PyObject* n, PyObject *v, + PyObject *fv, PyObject *cell, PyObject* fn, + PyObject *name, int fline, PyObject *lnos) { + PyCodeObject *result; + result = + #if PY_VERSION_HEX >= 0x030C0000 + PyUnstable_Code_NewWithPosOnlyArgs + #else + PyCode_NewWithPosOnlyArgs + #endif + (a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, name, fline, lnos, __pyx_mstate_global->__pyx_empty_bytes); + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030c00A1 + if (likely(result)) + result->_co_firsttraceable = 0; + #endif + return result; + } + #elif !CYTHON_COMPILING_IN_PYPY + #define __Pyx__PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_NewWithPosOnlyArgs(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #else + #define __Pyx__PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #endif + static PyObject* __Pyx_PyCode_New( + const __Pyx_PyCode_New_function_description descr, + PyObject * const *varnames, + PyObject *filename, + PyObject *funcname, + PyObject *line_table, + PyObject *tuple_dedup_map + ) { + PyObject *code_obj = NULL, *varnames_tuple_dedup = NULL, *code_bytes = NULL; + Py_ssize_t var_count = (Py_ssize_t) descr.nlocals; + PyObject *varnames_tuple = PyTuple_New(var_count); + if (unlikely(!varnames_tuple)) return NULL; + for (Py_ssize_t i=0; i < var_count; i++) { + Py_INCREF(varnames[i]); + if (__Pyx_PyTuple_SET_ITEM(varnames_tuple, i, varnames[i]) != (0)) goto done; + } + #if CYTHON_COMPILING_IN_LIMITED_API + varnames_tuple_dedup = PyDict_GetItem(tuple_dedup_map, varnames_tuple); + if (!varnames_tuple_dedup) { + if (unlikely(PyDict_SetItem(tuple_dedup_map, varnames_tuple, varnames_tuple) < 0)) goto done; + varnames_tuple_dedup = varnames_tuple; + } + #else + varnames_tuple_dedup = PyDict_SetDefault(tuple_dedup_map, varnames_tuple, varnames_tuple); + if (unlikely(!varnames_tuple_dedup)) goto done; + #endif + #if CYTHON_AVOID_BORROWED_REFS + Py_INCREF(varnames_tuple_dedup); + #endif + if (__PYX_LIMITED_VERSION_HEX >= (0x030b0000) && line_table != NULL && !CYTHON_COMPILING_IN_GRAAL) { + Py_ssize_t line_table_length = __Pyx_PyBytes_GET_SIZE(line_table); + #if !CYTHON_ASSUME_SAFE_SIZE + if (unlikely(line_table_length == -1)) goto done; + #endif + Py_ssize_t code_len = (line_table_length * 2 + 4) & ~3LL; + code_bytes = PyBytes_FromStringAndSize(NULL, code_len); + if (unlikely(!code_bytes)) goto done; + char* c_code_bytes = PyBytes_AsString(code_bytes); + if (unlikely(!c_code_bytes)) goto done; + memset(c_code_bytes, 0, (size_t) code_len); + } + code_obj = (PyObject*) __Pyx__PyCode_New( + (int) descr.argcount, + (int) descr.num_posonly_args, + (int) descr.num_kwonly_args, + (int) descr.nlocals, + 0, + (int) descr.flags, + code_bytes ? code_bytes : __pyx_mstate_global->__pyx_empty_bytes, + __pyx_mstate_global->__pyx_empty_tuple, + __pyx_mstate_global->__pyx_empty_tuple, + varnames_tuple_dedup, + __pyx_mstate_global->__pyx_empty_tuple, + __pyx_mstate_global->__pyx_empty_tuple, + filename, + funcname, + (int) descr.first_line, + (__PYX_LIMITED_VERSION_HEX >= (0x030b0000) && line_table) ? line_table : __pyx_mstate_global->__pyx_empty_bytes + ); + done: + Py_XDECREF(code_bytes); + #if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(varnames_tuple_dedup); + #endif + Py_DECREF(varnames_tuple); + return code_obj; + } + +/* DecompressString */ + static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo) { + PyObject *module = NULL, *decompress, *compressed_bytes, *decompressed; + const char* module_name = algo == 3 ? "compression.zstd" : algo == 2 ? "bz2" : "zlib"; + PyObject *methodname = PyUnicode_FromString("decompress"); + if (unlikely(!methodname)) return NULL; + #if __PYX_LIMITED_VERSION_HEX >= 0x030e0000 + if (algo == 3) { + PyObject *fromlist = Py_BuildValue("[O]", methodname); + if (unlikely(!fromlist)) goto bad; + module = PyImport_ImportModuleLevel("compression.zstd", NULL, NULL, fromlist, 0); + Py_DECREF(fromlist); + } else + #endif + module = PyImport_ImportModule(module_name); + if (unlikely(!module)) goto import_failed; + decompress = PyObject_GetAttr(module, methodname); + if (unlikely(!decompress)) goto import_failed; + { + #ifdef __cplusplus + char *memview_bytes = const_cast(s); + #else + #if defined(__clang__) + #pragma clang diagnostic push + #pragma clang diagnostic ignored "-Wcast-qual" + #elif !defined(__INTEL_COMPILER) && defined(__GNUC__) + #pragma GCC diagnostic push + #pragma GCC diagnostic ignored "-Wcast-qual" + #endif + char *memview_bytes = (char*) s; + #if defined(__clang__) + #pragma clang diagnostic pop + #elif !defined(__INTEL_COMPILER) && defined(__GNUC__) + #pragma GCC diagnostic pop + #endif + #endif + #if CYTHON_COMPILING_IN_LIMITED_API && !defined(PyBUF_READ) + int memview_flags = 0x100; + #else + int memview_flags = PyBUF_READ; + #endif + compressed_bytes = PyMemoryView_FromMemory(memview_bytes, length, memview_flags); + } + if (unlikely(!compressed_bytes)) { + Py_DECREF(decompress); + goto bad; + } + decompressed = PyObject_CallFunctionObjArgs(decompress, compressed_bytes, NULL); + Py_DECREF(compressed_bytes); + Py_DECREF(decompress); + Py_DECREF(module); + Py_DECREF(methodname); + return decompressed; + import_failed: + PyErr_Format(PyExc_ImportError, + "Failed to import '%.20s.decompress' - cannot initialise module strings. " + "String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'.", + module_name, algo); + bad: + Py_XDECREF(module); + Py_DECREF(methodname); + return NULL; + } + +#include +static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s) { + size_t len = strlen(s); + if (unlikely(len > (size_t) PY_SSIZE_T_MAX)) { + PyErr_SetString(PyExc_OverflowError, "byte string is too long"); + return -1; + } + return (Py_ssize_t) len; +} +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { + Py_ssize_t len = __Pyx_ssize_strlen(c_str); + if (unlikely(len < 0)) return NULL; + return __Pyx_PyUnicode_FromStringAndSize(c_str, len); +} +static CYTHON_INLINE PyObject* __Pyx_PyByteArray_FromString(const char* c_str) { + Py_ssize_t len = __Pyx_ssize_strlen(c_str); + if (unlikely(len < 0)) return NULL; + return PyByteArray_FromStringAndSize(c_str, len); +} +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 +static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; +#if CYTHON_COMPILING_IN_LIMITED_API + { + const char* result; + Py_ssize_t unicode_length; + CYTHON_MAYBE_UNUSED_VAR(unicode_length); // only for __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + #if __PYX_LIMITED_VERSION_HEX < 0x030A0000 + if (unlikely(PyArg_Parse(o, "s#", &result, length) < 0)) return NULL; + #else + result = PyUnicode_AsUTF8AndSize(o, length); + #endif + #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + unicode_length = PyUnicode_GetLength(o); + if (unlikely(unicode_length < 0)) return NULL; + if (unlikely(unicode_length != *length)) { + PyUnicode_AsASCIIString(o); + return NULL; + } + #endif + return result; + } +#else +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (likely(PyUnicode_IS_ASCII(o))) { + *length = PyUnicode_GET_LENGTH(o); + return PyUnicode_AsUTF8(o); + } else { + PyUnicode_AsASCIIString(o); + return NULL; + } +#else + return PyUnicode_AsUTF8AndSize(o, length); +#endif +#endif +} +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 + if (PyUnicode_Check(o)) { + return __Pyx_PyUnicode_AsStringAndSize(o, length); + } else +#endif + if (PyByteArray_Check(o)) { +#if (CYTHON_ASSUME_SAFE_SIZE && CYTHON_ASSUME_SAFE_MACROS) || (CYTHON_COMPILING_IN_PYPY && (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))) + *length = PyByteArray_GET_SIZE(o); + return PyByteArray_AS_STRING(o); +#else + *length = PyByteArray_Size(o); + if (*length == -1) return NULL; + return PyByteArray_AsString(o); +#endif + } else + { + char* result; + int r = PyBytes_AsStringAndSize(o, &result, length); + if (unlikely(r < 0)) { + return NULL; + } else { + return result; + } + } +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + int is_true = x == Py_True; + if (is_true | (x == Py_False) | (x == Py_None)) return is_true; + else return PyObject_IsTrue(x); +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} +static PyObject* __Pyx_PyNumber_LongWrongResultType(PyObject* result) { + __Pyx_TypeName result_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(result)); + if (PyLong_Check(result)) { + if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, + "__int__ returned non-int (type " __Pyx_FMT_TYPENAME "). " + "The ability to return an instance of a strict subclass of int is deprecated, " + "and may be removed in a future version of Python.", + result_type_name)) { + __Pyx_DECREF_TypeName(result_type_name); + Py_DECREF(result); + return NULL; + } + __Pyx_DECREF_TypeName(result_type_name); + return result; + } + PyErr_Format(PyExc_TypeError, + "__int__ returned non-int (type " __Pyx_FMT_TYPENAME ")", + result_type_name); + __Pyx_DECREF_TypeName(result_type_name); + Py_DECREF(result); + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyNumber_Long(PyObject* x) { +#if CYTHON_USE_TYPE_SLOTS + PyNumberMethods *m; +#endif + PyObject *res = NULL; + if (likely(PyLong_Check(x))) + return __Pyx_NewRef(x); +#if CYTHON_USE_TYPE_SLOTS + m = Py_TYPE(x)->tp_as_number; + if (likely(m && m->nb_int)) { + res = m->nb_int(x); + } +#else + if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { + res = PyNumber_Long(x); + } +#endif + if (likely(res)) { + if (unlikely(!PyLong_CheckExact(res))) { + return __Pyx_PyNumber_LongWrongResultType(res); + } + } + else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_TypeError, + "an integer is required"); + } + return res; +} +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { + Py_ssize_t ival; + PyObject *x; + if (likely(PyLong_CheckExact(b))) { + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(__Pyx_PyLong_IsCompact(b))) { + return __Pyx_PyLong_CompactValue(b); + } else { + const digit* digits = __Pyx_PyLong_Digits(b); + const Py_ssize_t size = __Pyx_PyLong_SignedDigitCount(b); + switch (size) { + case 2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + } + } + #endif + return PyLong_AsSsize_t(b); + } + x = PyNumber_Index(b); + if (!x) return -1; + ival = PyLong_AsSsize_t(x); + Py_DECREF(x); + return ival; +} +static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) { + if (sizeof(Py_hash_t) == sizeof(Py_ssize_t)) { + return (Py_hash_t) __Pyx_PyIndex_AsSsize_t(o); + } else { + Py_ssize_t ival; + PyObject *x; + x = PyNumber_Index(o); + if (!x) return -1; + ival = PyLong_AsLong(x); + Py_DECREF(x); + return ival; + } +} +static CYTHON_INLINE PyObject *__Pyx_Owned_Py_None(int b) { + CYTHON_UNUSED_VAR(b); + return __Pyx_NewRef(Py_None); +} +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { + return __Pyx_NewRef(b ? Py_True: Py_False); +} +static CYTHON_INLINE PyObject * __Pyx_PyLong_FromSize_t(size_t ival) { + return PyLong_FromSize_t(ival); +} + + + /* MultiPhaseInitModuleState */ + #if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE + #ifndef CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + #if (CYTHON_COMPILING_IN_LIMITED_API || PY_VERSION_HEX >= 0x030C0000) + #define CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE 1 + #else + #define CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE 0 + #endif + #endif + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE && !CYTHON_ATOMICS + #error "Module state with PEP489 requires atomics. Currently that's one of\ + C11, C++11, gcc atomic intrinsics or MSVC atomic intrinsics" + #endif + #if !CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + #define __Pyx_ModuleStateLookup_Lock() + #define __Pyx_ModuleStateLookup_Unlock() + #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d0000 + static PyMutex __Pyx_ModuleStateLookup_mutex = {0}; + #define __Pyx_ModuleStateLookup_Lock() PyMutex_Lock(&__Pyx_ModuleStateLookup_mutex) + #define __Pyx_ModuleStateLookup_Unlock() PyMutex_Unlock(&__Pyx_ModuleStateLookup_mutex) + #elif defined(__cplusplus) && __cplusplus >= 201103L + #include + static std::mutex __Pyx_ModuleStateLookup_mutex; + #define __Pyx_ModuleStateLookup_Lock() __Pyx_ModuleStateLookup_mutex.lock() + #define __Pyx_ModuleStateLookup_Unlock() __Pyx_ModuleStateLookup_mutex.unlock() + #elif defined(__STDC_VERSION__) && (__STDC_VERSION__ > 201112L) && !defined(__STDC_NO_THREADS__) + #include + static mtx_t __Pyx_ModuleStateLookup_mutex; + static once_flag __Pyx_ModuleStateLookup_mutex_once_flag = ONCE_FLAG_INIT; + static void __Pyx_ModuleStateLookup_initialize_mutex(void) { + mtx_init(&__Pyx_ModuleStateLookup_mutex, mtx_plain); + } + #define __Pyx_ModuleStateLookup_Lock()\ + call_once(&__Pyx_ModuleStateLookup_mutex_once_flag, __Pyx_ModuleStateLookup_initialize_mutex);\ + mtx_lock(&__Pyx_ModuleStateLookup_mutex) + #define __Pyx_ModuleStateLookup_Unlock() mtx_unlock(&__Pyx_ModuleStateLookup_mutex) + #elif defined(HAVE_PTHREAD_H) + #include + static pthread_mutex_t __Pyx_ModuleStateLookup_mutex = PTHREAD_MUTEX_INITIALIZER; + #define __Pyx_ModuleStateLookup_Lock() pthread_mutex_lock(&__Pyx_ModuleStateLookup_mutex) + #define __Pyx_ModuleStateLookup_Unlock() pthread_mutex_unlock(&__Pyx_ModuleStateLookup_mutex) + #elif defined(_WIN32) + #include // synchapi.h on its own doesn't work + static SRWLOCK __Pyx_ModuleStateLookup_mutex = SRWLOCK_INIT; + #define __Pyx_ModuleStateLookup_Lock() AcquireSRWLockExclusive(&__Pyx_ModuleStateLookup_mutex) + #define __Pyx_ModuleStateLookup_Unlock() ReleaseSRWLockExclusive(&__Pyx_ModuleStateLookup_mutex) + #else + #error "No suitable lock available for CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE.\ + Requires C standard >= C11, or C++ standard >= C++11,\ + or pthreads, or the Windows 32 API, or Python >= 3.13." + #endif + typedef struct { + int64_t id; + PyObject *module; + } __Pyx_InterpreterIdAndModule; + typedef struct { + char interpreter_id_as_index; + Py_ssize_t count; + Py_ssize_t allocated; + __Pyx_InterpreterIdAndModule table[1]; + } __Pyx_ModuleStateLookupData; + #define __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE 32 + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + static __pyx_atomic_int_type __Pyx_ModuleStateLookup_read_counter = 0; + #endif + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + static __pyx_atomic_ptr_type __Pyx_ModuleStateLookup_data = 0; + #else + static __Pyx_ModuleStateLookupData* __Pyx_ModuleStateLookup_data = NULL; + #endif + static __Pyx_InterpreterIdAndModule* __Pyx_State_FindModuleStateLookupTableLowerBound( + __Pyx_InterpreterIdAndModule* table, + Py_ssize_t count, + int64_t interpreterId) { + __Pyx_InterpreterIdAndModule* begin = table; + __Pyx_InterpreterIdAndModule* end = begin + count; + if (begin->id == interpreterId) { + return begin; + } + while ((end - begin) > __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE) { + __Pyx_InterpreterIdAndModule* halfway = begin + (end - begin)/2; + if (halfway->id == interpreterId) { + return halfway; + } + if (halfway->id < interpreterId) { + begin = halfway; + } else { + end = halfway; + } + } + for (; begin < end; ++begin) { + if (begin->id >= interpreterId) return begin; + } + return begin; + } + static PyObject *__Pyx_State_FindModule(CYTHON_UNUSED void* dummy) { + int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); + if (interpreter_id == -1) return NULL; + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __Pyx_ModuleStateLookupData* data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_relaxed(&__Pyx_ModuleStateLookup_data); + { + __pyx_atomic_incr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); + if (likely(data)) { + __Pyx_ModuleStateLookupData* new_data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_acquire(&__Pyx_ModuleStateLookup_data); + if (likely(data == new_data)) { + goto read_finished; + } + } + __pyx_atomic_decr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); + __Pyx_ModuleStateLookup_Lock(); + __pyx_atomic_incr_relaxed(&__Pyx_ModuleStateLookup_read_counter); + data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_relaxed(&__Pyx_ModuleStateLookup_data); + __Pyx_ModuleStateLookup_Unlock(); + } + read_finished:; + #else + __Pyx_ModuleStateLookupData* data = __Pyx_ModuleStateLookup_data; + #endif + __Pyx_InterpreterIdAndModule* found = NULL; + if (unlikely(!data)) goto end; + if (data->interpreter_id_as_index) { + if (interpreter_id < data->count) { + found = data->table+interpreter_id; + } + } else { + found = __Pyx_State_FindModuleStateLookupTableLowerBound( + data->table, data->count, interpreter_id); + } + end: + { + PyObject *result=NULL; + if (found && found->id == interpreter_id) { + result = found->module; + } + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __pyx_atomic_decr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); + #endif + return result; + } + } + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + static void __Pyx_ModuleStateLookup_wait_until_no_readers(void) { + while (__pyx_atomic_load(&__Pyx_ModuleStateLookup_read_counter) != 0); + } + #else + #define __Pyx_ModuleStateLookup_wait_until_no_readers() + #endif + static int __Pyx_State_AddModuleInterpIdAsIndex(__Pyx_ModuleStateLookupData **old_data, PyObject* module, int64_t interpreter_id) { + Py_ssize_t to_allocate = (*old_data)->allocated; + while (to_allocate <= interpreter_id) { + if (to_allocate == 0) to_allocate = 1; + else to_allocate *= 2; + } + __Pyx_ModuleStateLookupData *new_data = *old_data; + if (to_allocate != (*old_data)->allocated) { + new_data = (__Pyx_ModuleStateLookupData *)realloc( + *old_data, + sizeof(__Pyx_ModuleStateLookupData)+(to_allocate-1)*sizeof(__Pyx_InterpreterIdAndModule)); + if (!new_data) { + PyErr_NoMemory(); + return -1; + } + for (Py_ssize_t i = new_data->allocated; i < to_allocate; ++i) { + new_data->table[i].id = i; + new_data->table[i].module = NULL; + } + new_data->allocated = to_allocate; + } + new_data->table[interpreter_id].module = module; + if (new_data->count < interpreter_id+1) { + new_data->count = interpreter_id+1; + } + *old_data = new_data; + return 0; + } + static void __Pyx_State_ConvertFromInterpIdAsIndex(__Pyx_ModuleStateLookupData *data) { + __Pyx_InterpreterIdAndModule *read = data->table; + __Pyx_InterpreterIdAndModule *write = data->table; + __Pyx_InterpreterIdAndModule *end = read + data->count; + for (; readmodule) { + write->id = read->id; + write->module = read->module; + ++write; + } + } + data->count = write - data->table; + for (; writeid = 0; + write->module = NULL; + } + data->interpreter_id_as_index = 0; + } + static int __Pyx_State_AddModule(PyObject* module, CYTHON_UNUSED void* dummy) { + int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); + if (interpreter_id == -1) return -1; + int result = 0; + __Pyx_ModuleStateLookup_Lock(); + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __Pyx_ModuleStateLookupData *old_data = (__Pyx_ModuleStateLookupData *) + __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, 0); + #else + __Pyx_ModuleStateLookupData *old_data = __Pyx_ModuleStateLookup_data; + #endif + __Pyx_ModuleStateLookupData *new_data = old_data; + if (!new_data) { + new_data = (__Pyx_ModuleStateLookupData *)calloc(1, sizeof(__Pyx_ModuleStateLookupData)); + if (!new_data) { + result = -1; + PyErr_NoMemory(); + goto end; + } + new_data->allocated = 1; + new_data->interpreter_id_as_index = 1; + } + __Pyx_ModuleStateLookup_wait_until_no_readers(); + if (new_data->interpreter_id_as_index) { + if (interpreter_id < __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE) { + result = __Pyx_State_AddModuleInterpIdAsIndex(&new_data, module, interpreter_id); + goto end; + } + __Pyx_State_ConvertFromInterpIdAsIndex(new_data); + } + { + Py_ssize_t insert_at = 0; + { + __Pyx_InterpreterIdAndModule* lower_bound = __Pyx_State_FindModuleStateLookupTableLowerBound( + new_data->table, new_data->count, interpreter_id); + assert(lower_bound); + insert_at = lower_bound - new_data->table; + if (unlikely(insert_at < new_data->count && lower_bound->id == interpreter_id)) { + lower_bound->module = module; + goto end; // already in table, nothing more to do + } + } + if (new_data->count+1 >= new_data->allocated) { + Py_ssize_t to_allocate = (new_data->count+1)*2; + new_data = + (__Pyx_ModuleStateLookupData*)realloc( + new_data, + sizeof(__Pyx_ModuleStateLookupData) + + (to_allocate-1)*sizeof(__Pyx_InterpreterIdAndModule)); + if (!new_data) { + result = -1; + new_data = old_data; + PyErr_NoMemory(); + goto end; + } + new_data->allocated = to_allocate; + } + ++new_data->count; + int64_t last_id = interpreter_id; + PyObject *last_module = module; + for (Py_ssize_t i=insert_at; icount; ++i) { + int64_t current_id = new_data->table[i].id; + new_data->table[i].id = last_id; + last_id = current_id; + PyObject *current_module = new_data->table[i].module; + new_data->table[i].module = last_module; + last_module = current_module; + } + } + end: + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, new_data); + #else + __Pyx_ModuleStateLookup_data = new_data; + #endif + __Pyx_ModuleStateLookup_Unlock(); + return result; + } + static int __Pyx_State_RemoveModule(CYTHON_UNUSED void* dummy) { + int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); + if (interpreter_id == -1) return -1; + __Pyx_ModuleStateLookup_Lock(); + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __Pyx_ModuleStateLookupData *data = (__Pyx_ModuleStateLookupData *) + __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, 0); + #else + __Pyx_ModuleStateLookupData *data = __Pyx_ModuleStateLookup_data; + #endif + if (data->interpreter_id_as_index) { + if (interpreter_id < data->count) { + data->table[interpreter_id].module = NULL; + } + goto done; + } + { + __Pyx_ModuleStateLookup_wait_until_no_readers(); + __Pyx_InterpreterIdAndModule* lower_bound = __Pyx_State_FindModuleStateLookupTableLowerBound( + data->table, data->count, interpreter_id); + if (!lower_bound) goto done; + if (lower_bound->id != interpreter_id) goto done; + __Pyx_InterpreterIdAndModule *end = data->table+data->count; + for (;lower_boundid = (lower_bound+1)->id; + lower_bound->module = (lower_bound+1)->module; + } + } + --data->count; + if (data->count == 0) { + free(data); + data = NULL; + } + done: + #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE + __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, data); + #else + __Pyx_ModuleStateLookup_data = data; + #endif + __Pyx_ModuleStateLookup_Unlock(); + return 0; + } + #endif + +/* #### Code section: utility_code_pragmas_end ### */ +#ifdef _MSC_VER +#pragma warning( pop ) +#endif + + + +/* #### Code section: end ### */ +#endif /* Py_PYTHON_H */ diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.pyx b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.pyx new file mode 100644 index 0000000..bfaabd4 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/core.pyx @@ -0,0 +1,42 @@ +cimport cython +from cython.parallel import prange + + +@cython.boundscheck(False) +@cython.wraparound(False) +cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_y, int t_x, float max_neg_val=-1e9) nogil: + cdef int x + cdef int y + cdef float v_prev + cdef float v_cur + cdef float tmp + cdef int index = t_x - 1 + + for y in range(t_y): + for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + if x == y: + v_cur = max_neg_val + else: + v_cur = value[y-1, x] + if x == 0: + if y == 0: + v_prev = 0. + else: + v_prev = max_neg_val + else: + v_prev = value[y-1, x-1] + value[y, x] += max(v_prev, v_cur) + + for y in range(t_y - 1, -1, -1): + path[y, index] = 1 + if index != 0 and (index == y or value[y-1, index] < value[y-1, index-1]): + index = index - 1 + + +@cython.boundscheck(False) +@cython.wraparound(False) +cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_ys, int[::1] t_xs) nogil: + cdef int b = paths.shape[0] + cdef int i + for i in prange(b, nogil=True): + maximum_path_each(paths[i], values[i], t_ys[i], t_xs[i]) diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/setup.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/setup.py new file mode 100644 index 0000000..5d24174 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/monotonic_align/setup.py @@ -0,0 +1,9 @@ +from setuptools import setup, Extension +from Cython.Build import cythonize +import numpy + +setup( + name="monotonic_align", + ext_modules=cythonize([Extension("core", ["core.pyx"])]), + include_dirs=[numpy.get_include()], +) diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/transforms.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/transforms.py new file mode 100644 index 0000000..329862f --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/transforms.py @@ -0,0 +1,212 @@ +import numpy as np +import torch +from torch.nn import functional as F + +DEFAULT_MIN_BIN_WIDTH = 1e-3 +DEFAULT_MIN_BIN_HEIGHT = 1e-3 +DEFAULT_MIN_DERIVATIVE = 1e-3 + + +def piecewise_rational_quadratic_transform( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + tails=None, + tail_bound=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + + if tails is None: + spline_fn = rational_quadratic_spline + spline_kwargs = {} + else: + spline_fn = unconstrained_rational_quadratic_spline + spline_kwargs = {"tails": tails, "tail_bound": tail_bound} + + outputs, logabsdet = spline_fn( + inputs=inputs, + unnormalized_widths=unnormalized_widths, + unnormalized_heights=unnormalized_heights, + unnormalized_derivatives=unnormalized_derivatives, + inverse=inverse, + min_bin_width=min_bin_width, + min_bin_height=min_bin_height, + min_derivative=min_derivative, + **spline_kwargs + ) + return outputs, logabsdet + + +def searchsorted(bin_locations, inputs, eps=1e-6): + # bin_locations[..., -1] += eps + bin_locations[..., bin_locations.size(-1) - 1] += eps + return torch.sum(inputs[..., None] >= bin_locations, dim=-1) - 1 + + +def unconstrained_rational_quadratic_spline( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + tails="linear", + tail_bound=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound) + outside_interval_mask = ~inside_interval_mask + + outputs = torch.zeros_like(inputs) + logabsdet = torch.zeros_like(inputs) + + if tails == "linear": + unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1)) + constant = np.log(np.exp(1 - min_derivative) - 1) + unnormalized_derivatives[..., 0] = constant + # unnormalized_derivatives[..., -1] = constant + unnormalized_derivatives[..., unnormalized_derivatives.size(-1) - 1] = constant + + outputs[outside_interval_mask] = inputs[outside_interval_mask] + logabsdet[outside_interval_mask] = 0 + else: + raise RuntimeError("{} tails are not implemented.".format(tails)) + + ( + outputs[inside_interval_mask], + logabsdet[inside_interval_mask], + ) = rational_quadratic_spline( + inputs=inputs[inside_interval_mask], + unnormalized_widths=unnormalized_widths[inside_interval_mask, :], + unnormalized_heights=unnormalized_heights[inside_interval_mask, :], + unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :], + inverse=inverse, + left=-tail_bound, + right=tail_bound, + bottom=-tail_bound, + top=tail_bound, + min_bin_width=min_bin_width, + min_bin_height=min_bin_height, + min_derivative=min_derivative, + ) + + return outputs, logabsdet + + +def rational_quadratic_spline( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + left=0.0, + right=1.0, + bottom=0.0, + top=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + # if torch.min(inputs) < left or torch.max(inputs) > right: + # raise ValueError("Input to a transform is not within its domain") + + num_bins = unnormalized_widths.shape[-1] + + # if min_bin_width * num_bins > 1.0: + # raise ValueError("Minimal bin width too large for the number of bins") + # if min_bin_height * num_bins > 1.0: + # raise ValueError("Minimal bin height too large for the number of bins") + + widths = F.softmax(unnormalized_widths, dim=-1) + widths = min_bin_width + (1 - min_bin_width * num_bins) * widths + cumwidths = torch.cumsum(widths, dim=-1) + cumwidths = F.pad(cumwidths, pad=(1, 0), mode="constant", value=0.0) + cumwidths = (right - left) * cumwidths + left + cumwidths[..., 0] = left + # cumwidths[..., -1] = right + cumwidths[..., cumwidths.size(-1) - 1] = right + widths = cumwidths[..., 1:] - cumwidths[..., :-1] + + derivatives = min_derivative + F.softplus(unnormalized_derivatives) + + heights = F.softmax(unnormalized_heights, dim=-1) + heights = min_bin_height + (1 - min_bin_height * num_bins) * heights + cumheights = torch.cumsum(heights, dim=-1) + cumheights = F.pad(cumheights, pad=(1, 0), mode="constant", value=0.0) + cumheights = (top - bottom) * cumheights + bottom + cumheights[..., 0] = bottom + # cumheights[..., -1] = top + cumheights[..., cumheights.size(-1) - 1] = top + heights = cumheights[..., 1:] - cumheights[..., :-1] + + if inverse: + bin_idx = searchsorted(cumheights, inputs)[..., None] + else: + bin_idx = searchsorted(cumwidths, inputs)[..., None] + + input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0] + input_bin_widths = widths.gather(-1, bin_idx)[..., 0] + + input_cumheights = cumheights.gather(-1, bin_idx)[..., 0] + delta = heights / widths + input_delta = delta.gather(-1, bin_idx)[..., 0] + + input_derivatives = derivatives.gather(-1, bin_idx)[..., 0] + input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0] + + input_heights = heights.gather(-1, bin_idx)[..., 0] + + if inverse: + a = (inputs - input_cumheights) * ( + input_derivatives + input_derivatives_plus_one - 2 * input_delta + ) + input_heights * (input_delta - input_derivatives) + b = input_heights * input_derivatives - (inputs - input_cumheights) * ( + input_derivatives + input_derivatives_plus_one - 2 * input_delta + ) + c = -input_delta * (inputs - input_cumheights) + + discriminant = b.pow(2) - 4 * a * c + assert (discriminant >= 0).all(), discriminant + + root = (2 * c) / (-b - torch.sqrt(discriminant)) + outputs = root * input_bin_widths + input_cumwidths + + theta_one_minus_theta = root * (1 - root) + denominator = input_delta + ( + (input_derivatives + input_derivatives_plus_one - 2 * input_delta) + * theta_one_minus_theta + ) + derivative_numerator = input_delta.pow(2) * ( + input_derivatives_plus_one * root.pow(2) + + 2 * input_delta * theta_one_minus_theta + + input_derivatives * (1 - root).pow(2) + ) + logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator) + + return outputs, -logabsdet + + theta = (inputs - input_cumwidths) / input_bin_widths + theta_one_minus_theta = theta * (1 - theta) + + numerator = input_heights * ( + input_delta * theta.pow(2) + input_derivatives * theta_one_minus_theta + ) + denominator = input_delta + ( + (input_derivatives + input_derivatives_plus_one - 2 * input_delta) + * theta_one_minus_theta + ) + outputs = input_cumheights + numerator / denominator + + derivative_numerator = input_delta.pow(2) * ( + input_derivatives_plus_one * theta.pow(2) + + 2 * input_delta * theta_one_minus_theta + + input_derivatives * (1 - theta).pow(2) + ) + logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator) + + return outputs, logabsdet diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/utils.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/utils.py new file mode 100644 index 0000000..84d7ecc --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/utils.py @@ -0,0 +1,16 @@ +import numpy as np +import torch + + +def to_gpu(x: torch.Tensor) -> torch.Tensor: + return x.contiguous().cuda(non_blocking=True) + + +def audio_float_to_int16( + audio: np.ndarray, max_wav_value: float = 32767.0 +) -> np.ndarray: + """Normalize audio and convert to int16 range""" + audio_norm = audio * (max_wav_value / max(0.01, np.max(np.abs(audio)))) + audio_norm = np.clip(audio_norm, -max_wav_value, max_wav_value) + audio_norm = audio_norm.astype("int16") + return audio_norm diff --git a/components/Universal_TTS_Finetune/piper/piper_train/vits/wavfile.py b/components/Universal_TTS_Finetune/piper/piper_train/vits/wavfile.py new file mode 100644 index 0000000..38a71c9 --- /dev/null +++ b/components/Universal_TTS_Finetune/piper/piper_train/vits/wavfile.py @@ -0,0 +1,860 @@ +""" +Module to read / write wav files using NumPy arrays + +Functions +--------- +`read`: Return the sample rate (in samples/sec) and data from a WAV file. + +`write`: Write a NumPy array as a WAV file. + +""" +import io +import struct +import sys +import warnings +from enum import IntEnum + +import numpy + +__all__ = ["WavFileWarning", "read", "write"] + + +class WavFileWarning(UserWarning): + pass + + +class WAVE_FORMAT(IntEnum): + """ + WAVE form wFormatTag IDs + + Complete list is in mmreg.h in Windows 10 SDK. ALAC and OPUS are the + newest additions, in v10.0.14393 2016-07 + """ + + UNKNOWN = 0x0000 + PCM = 0x0001 + ADPCM = 0x0002 + IEEE_FLOAT = 0x0003 + VSELP = 0x0004 + IBM_CVSD = 0x0005 + ALAW = 0x0006 + MULAW = 0x0007 + DTS = 0x0008 + DRM = 0x0009 + WMAVOICE9 = 0x000A + WMAVOICE10 = 0x000B + OKI_ADPCM = 0x0010 + DVI_ADPCM = 0x0011 + IMA_ADPCM = 0x0011 # Duplicate + MEDIASPACE_ADPCM = 0x0012 + SIERRA_ADPCM = 0x0013 + G723_ADPCM = 0x0014 + DIGISTD = 0x0015 + DIGIFIX = 0x0016 + DIALOGIC_OKI_ADPCM = 0x0017 + MEDIAVISION_ADPCM = 0x0018 + CU_CODEC = 0x0019 + HP_DYN_VOICE = 0x001A + YAMAHA_ADPCM = 0x0020 + SONARC = 0x0021 + DSPGROUP_TRUESPEECH = 0x0022 + ECHOSC1 = 0x0023 + AUDIOFILE_AF36 = 0x0024 + APTX = 0x0025 + AUDIOFILE_AF10 = 0x0026 + PROSODY_1612 = 0x0027 + LRC = 0x0028 + DOLBY_AC2 = 0x0030 + GSM610 = 0x0031 + MSNAUDIO = 0x0032 + ANTEX_ADPCME = 0x0033 + CONTROL_RES_VQLPC = 0x0034 + DIGIREAL = 0x0035 + DIGIADPCM = 0x0036 + CONTROL_RES_CR10 = 0x0037 + NMS_VBXADPCM = 0x0038 + CS_IMAADPCM = 0x0039 + ECHOSC3 = 0x003A + ROCKWELL_ADPCM = 0x003B + ROCKWELL_DIGITALK = 0x003C + XEBEC = 0x003D + G721_ADPCM = 0x0040 + G728_CELP = 0x0041 + MSG723 = 0x0042 + INTEL_G723_1 = 0x0043 + INTEL_G729 = 0x0044 + SHARP_G726 = 0x0045 + MPEG = 0x0050 + RT24 = 0x0052 + PAC = 0x0053 + MPEGLAYER3 = 0x0055 + LUCENT_G723 = 0x0059 + CIRRUS = 0x0060 + ESPCM = 0x0061 + VOXWARE = 0x0062 + CANOPUS_ATRAC = 0x0063 + G726_ADPCM = 0x0064 + G722_ADPCM = 0x0065 + DSAT = 0x0066 + DSAT_DISPLAY = 0x0067 + VOXWARE_BYTE_ALIGNED = 0x0069 + VOXWARE_AC8 = 0x0070 + VOXWARE_AC10 = 0x0071 + VOXWARE_AC16 = 0x0072 + VOXWARE_AC20 = 0x0073 + VOXWARE_RT24 = 0x0074 + VOXWARE_RT29 = 0x0075 + VOXWARE_RT29HW = 0x0076 + VOXWARE_VR12 = 0x0077 + VOXWARE_VR18 = 0x0078 + VOXWARE_TQ40 = 0x0079 + VOXWARE_SC3 = 0x007A + VOXWARE_SC3_1 = 0x007B + SOFTSOUND = 0x0080 + VOXWARE_TQ60 = 0x0081 + MSRT24 = 0x0082 + G729A = 0x0083 + MVI_MVI2 = 0x0084 + DF_G726 = 0x0085 + DF_GSM610 = 0x0086 + ISIAUDIO = 0x0088 + ONLIVE = 0x0089 + MULTITUDE_FT_SX20 = 0x008A + INFOCOM_ITS_G721_ADPCM = 0x008B + CONVEDIA_G729 = 0x008C + CONGRUENCY = 0x008D + SBC24 = 0x0091 + DOLBY_AC3_SPDIF = 0x0092 + MEDIASONIC_G723 = 0x0093 + PROSODY_8KBPS = 0x0094 + ZYXEL_ADPCM = 0x0097 + PHILIPS_LPCBB = 0x0098 + PACKED = 0x0099 + MALDEN_PHONYTALK = 0x00A0 + RACAL_RECORDER_GSM = 0x00A1 + RACAL_RECORDER_G720_A = 0x00A2 + RACAL_RECORDER_G723_1 = 0x00A3 + RACAL_RECORDER_TETRA_ACELP = 0x00A4 + NEC_AAC = 0x00B0 + RAW_AAC1 = 0x00FF + RHETOREX_ADPCM = 0x0100 + IRAT = 0x0101 + VIVO_G723 = 0x0111 + VIVO_SIREN = 0x0112 + PHILIPS_CELP = 0x0120 + PHILIPS_GRUNDIG = 0x0121 + DIGITAL_G723 = 0x0123 + SANYO_LD_ADPCM = 0x0125 + SIPROLAB_ACEPLNET = 0x0130 + SIPROLAB_ACELP4800 = 0x0131 + SIPROLAB_ACELP8V3 = 0x0132 + SIPROLAB_G729 = 0x0133 + SIPROLAB_G729A = 0x0134 + SIPROLAB_KELVIN = 0x0135 + VOICEAGE_AMR = 0x0136 + G726ADPCM = 0x0140 + DICTAPHONE_CELP68 = 0x0141 + DICTAPHONE_CELP54 = 0x0142 + QUALCOMM_PUREVOICE = 0x0150 + QUALCOMM_HALFRATE = 0x0151 + TUBGSM = 0x0155 + MSAUDIO1 = 0x0160 + WMAUDIO2 = 0x0161 + WMAUDIO3 = 0x0162 + WMAUDIO_LOSSLESS = 0x0163 + WMASPDIF = 0x0164 + UNISYS_NAP_ADPCM = 0x0170 + UNISYS_NAP_ULAW = 0x0171 + UNISYS_NAP_ALAW = 0x0172 + UNISYS_NAP_16K = 0x0173 + SYCOM_ACM_SYC008 = 0x0174 + SYCOM_ACM_SYC701_G726L = 0x0175 + SYCOM_ACM_SYC701_CELP54 = 0x0176 + SYCOM_ACM_SYC701_CELP68 = 0x0177 + KNOWLEDGE_ADVENTURE_ADPCM = 0x0178 + FRAUNHOFER_IIS_MPEG2_AAC = 0x0180 + DTS_DS = 0x0190 + CREATIVE_ADPCM = 0x0200 + CREATIVE_FASTSPEECH8 = 0x0202 + CREATIVE_FASTSPEECH10 = 0x0203 + UHER_ADPCM = 0x0210 + ULEAD_DV_AUDIO = 0x0215 + ULEAD_DV_AUDIO_1 = 0x0216 + QUARTERDECK = 0x0220 + ILINK_VC = 0x0230 + RAW_SPORT = 0x0240 + ESST_AC3 = 0x0241 + GENERIC_PASSTHRU = 0x0249 + IPI_HSX = 0x0250 + IPI_RPELP = 0x0251 + CS2 = 0x0260 + SONY_SCX = 0x0270 + SONY_SCY = 0x0271 + SONY_ATRAC3 = 0x0272 + SONY_SPC = 0x0273 + TELUM_AUDIO = 0x0280 + TELUM_IA_AUDIO = 0x0281 + NORCOM_VOICE_SYSTEMS_ADPCM = 0x0285 + FM_TOWNS_SND = 0x0300 + MICRONAS = 0x0350 + MICRONAS_CELP833 = 0x0351 + BTV_DIGITAL = 0x0400 + INTEL_MUSIC_CODER = 0x0401 + INDEO_AUDIO = 0x0402 + QDESIGN_MUSIC = 0x0450 + ON2_VP7_AUDIO = 0x0500 + ON2_VP6_AUDIO = 0x0501 + VME_VMPCM = 0x0680 + TPC = 0x0681 + LIGHTWAVE_LOSSLESS = 0x08AE + OLIGSM = 0x1000 + OLIADPCM = 0x1001 + OLICELP = 0x1002 + OLISBC = 0x1003 + OLIOPR = 0x1004 + LH_CODEC = 0x1100 + LH_CODEC_CELP = 0x1101 + LH_CODEC_SBC8 = 0x1102 + LH_CODEC_SBC12 = 0x1103 + LH_CODEC_SBC16 = 0x1104 + NORRIS = 0x1400 + ISIAUDIO_2 = 0x1401 + SOUNDSPACE_MUSICOMPRESS = 0x1500 + MPEG_ADTS_AAC = 0x1600 + MPEG_RAW_AAC = 0x1601 + MPEG_LOAS = 0x1602 + NOKIA_MPEG_ADTS_AAC = 0x1608 + NOKIA_MPEG_RAW_AAC = 0x1609 + VODAFONE_MPEG_ADTS_AAC = 0x160A + VODAFONE_MPEG_RAW_AAC = 0x160B + MPEG_HEAAC = 0x1610 + VOXWARE_RT24_SPEECH = 0x181C + SONICFOUNDRY_LOSSLESS = 0x1971 + INNINGS_TELECOM_ADPCM = 0x1979 + LUCENT_SX8300P = 0x1C07 + LUCENT_SX5363S = 0x1C0C + CUSEEME = 0x1F03 + NTCSOFT_ALF2CM_ACM = 0x1FC4 + DVM = 0x2000 + DTS2 = 0x2001 + MAKEAVIS = 0x3313 + DIVIO_MPEG4_AAC = 0x4143 + NOKIA_ADAPTIVE_MULTIRATE = 0x4201 + DIVIO_G726 = 0x4243 + LEAD_SPEECH = 0x434C + LEAD_VORBIS = 0x564C + WAVPACK_AUDIO = 0x5756 + OGG_VORBIS_MODE_1 = 0x674F + OGG_VORBIS_MODE_2 = 0x6750 + OGG_VORBIS_MODE_3 = 0x6751 + OGG_VORBIS_MODE_1_PLUS = 0x676F + OGG_VORBIS_MODE_2_PLUS = 0x6770 + OGG_VORBIS_MODE_3_PLUS = 0x6771 + ALAC = 0x6C61 + _3COM_NBX = 0x7000 # Can't have leading digit + OPUS = 0x704F + FAAD_AAC = 0x706D + AMR_NB = 0x7361 + AMR_WB = 0x7362 + AMR_WP = 0x7363 + GSM_AMR_CBR = 0x7A21 + GSM_AMR_VBR_SID = 0x7A22 + COMVERSE_INFOSYS_G723_1 = 0xA100 + COMVERSE_INFOSYS_AVQSBC = 0xA101 + COMVERSE_INFOSYS_SBC = 0xA102 + SYMBOL_G729_A = 0xA103 + VOICEAGE_AMR_WB = 0xA104 + INGENIENT_G726 = 0xA105 + MPEG4_AAC = 0xA106 + ENCORE_G726 = 0xA107 + ZOLL_ASAO = 0xA108 + SPEEX_VOICE = 0xA109 + VIANIX_MASC = 0xA10A + WM9_SPECTRUM_ANALYZER = 0xA10B + WMF_SPECTRUM_ANAYZER = 0xA10C + GSM_610 = 0xA10D + GSM_620 = 0xA10E + GSM_660 = 0xA10F + GSM_690 = 0xA110 + GSM_ADAPTIVE_MULTIRATE_WB = 0xA111 + POLYCOM_G722 = 0xA112 + POLYCOM_G728 = 0xA113 + POLYCOM_G729_A = 0xA114 + POLYCOM_SIREN = 0xA115 + GLOBAL_IP_ILBC = 0xA116 + RADIOTIME_TIME_SHIFT_RADIO = 0xA117 + NICE_ACA = 0xA118 + NICE_ADPCM = 0xA119 + VOCORD_G721 = 0xA11A + VOCORD_G726 = 0xA11B + VOCORD_G722_1 = 0xA11C + VOCORD_G728 = 0xA11D + VOCORD_G729 = 0xA11E + VOCORD_G729_A = 0xA11F + VOCORD_G723_1 = 0xA120 + VOCORD_LBC = 0xA121 + NICE_G728 = 0xA122 + FRACE_TELECOM_G729 = 0xA123 + CODIAN = 0xA124 + FLAC = 0xF1AC + EXTENSIBLE = 0xFFFE + DEVELOPMENT = 0xFFFF + + +KNOWN_WAVE_FORMATS = {WAVE_FORMAT.PCM, WAVE_FORMAT.IEEE_FLOAT} + + +def _raise_bad_format(format_tag): + try: + format_name = WAVE_FORMAT(format_tag).name + except ValueError: + format_name = f"{format_tag:#06x}" + raise ValueError( + f"Unknown wave file format: {format_name}. Supported " + "formats: " + ", ".join(x.name for x in KNOWN_WAVE_FORMATS) + ) + + +def _read_fmt_chunk(fid, is_big_endian): + """ + Returns + ------- + size : int + size of format subchunk in bytes (minus 8 for "fmt " and itself) + format_tag : int + PCM, float, or compressed format + channels : int + number of channels + fs : int + sampling frequency in samples per second + bytes_per_second : int + overall byte rate for the file + block_align : int + bytes per sample, including all channels + bit_depth : int + bits per sample + + Notes + ----- + Assumes file pointer is immediately after the 'fmt ' id + """ + if is_big_endian: + fmt = ">" + else: + fmt = "<" + + size = struct.unpack(fmt + "I", fid.read(4))[0] + + if size < 16: + raise ValueError("Binary structure of wave file is not compliant") + + res = struct.unpack(fmt + "HHIIHH", fid.read(16)) + bytes_read = 16 + + format_tag, channels, fs, bytes_per_second, block_align, bit_depth = res + + if format_tag == WAVE_FORMAT.EXTENSIBLE and size >= (16 + 2): + ext_chunk_size = struct.unpack(fmt + "H", fid.read(2))[0] + bytes_read += 2 + if ext_chunk_size >= 22: + extensible_chunk_data = fid.read(22) + bytes_read += 22 + raw_guid = extensible_chunk_data[2 + 4 : 2 + 4 + 16] + # GUID template {XXXXXXXX-0000-0010-8000-00AA00389B71} (RFC-2361) + # MS GUID byte order: first three groups are native byte order, + # rest is Big Endian + if is_big_endian: + tail = b"\x00\x00\x00\x10\x80\x00\x00\xAA\x00\x38\x9B\x71" + else: + tail = b"\x00\x00\x10\x00\x80\x00\x00\xAA\x00\x38\x9B\x71" + if raw_guid.endswith(tail): + format_tag = struct.unpack(fmt + "I", raw_guid[:4])[0] + else: + raise ValueError("Binary structure of wave file is not compliant") + + if format_tag not in KNOWN_WAVE_FORMATS: + _raise_bad_format(format_tag) + + # move file pointer to next chunk + if size > bytes_read: + fid.read(size - bytes_read) + + # fmt should always be 16, 18 or 40, but handle it just in case + _handle_pad_byte(fid, size) + + return (size, format_tag, channels, fs, bytes_per_second, block_align, bit_depth) + + +def _read_data_chunk( + fid, format_tag, channels, bit_depth, is_big_endian, block_align, mmap=False +): + """ + Notes + ----- + Assumes file pointer is immediately after the 'data' id + + It's possible to not use all available bits in a container, or to store + samples in a container bigger than necessary, so bytes_per_sample uses + the actual reported container size (nBlockAlign / nChannels). Real-world + examples: + + Adobe Audition's "24-bit packed int (type 1, 20-bit)" + + nChannels = 2, nBlockAlign = 6, wBitsPerSample = 20 + + http://www-mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/Samples/AFsp/M1F1-int12-AFsp.wav + is: + + nChannels = 2, nBlockAlign = 4, wBitsPerSample = 12 + + http://www-mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/Docs/multichaudP.pdf + gives an example of: + + nChannels = 2, nBlockAlign = 8, wBitsPerSample = 20 + """ + if is_big_endian: + fmt = ">" + else: + fmt = "<" + + # Size of the data subchunk in bytes + size = struct.unpack(fmt + "I", fid.read(4))[0] + + # Number of bytes per sample (sample container size) + bytes_per_sample = block_align // channels + n_samples = size // bytes_per_sample + + if format_tag == WAVE_FORMAT.PCM: + if 1 <= bit_depth <= 8: + dtype = "u1" # WAV of 8-bit integer or less are unsigned + elif bytes_per_sample in {3, 5, 6, 7}: + # No compatible dtype. Load as raw bytes for reshaping later. + dtype = "V1" + elif bit_depth <= 64: + # Remaining bit depths can map directly to signed numpy dtypes + dtype = f"{fmt}i{bytes_per_sample}" + else: + raise ValueError( + "Unsupported bit depth: the WAV file " + f"has {bit_depth}-bit integer data." + ) + elif format_tag == WAVE_FORMAT.IEEE_FLOAT: + if bit_depth in {32, 64}: + dtype = f"{fmt}f{bytes_per_sample}" + else: + raise ValueError( + "Unsupported bit depth: the WAV file " + f"has {bit_depth}-bit floating-point data." + ) + else: + _raise_bad_format(format_tag) + + start = fid.tell() + if not mmap: + try: + count = size if dtype == "V1" else n_samples + data = numpy.fromfile(fid, dtype=dtype, count=count) + except io.UnsupportedOperation: # not a C-like file + fid.seek(start, 0) # just in case it seeked, though it shouldn't + data = numpy.frombuffer(fid.read(size), dtype=dtype) + + if dtype == "V1": + # Rearrange raw bytes into smallest compatible numpy dtype + dt = f"{fmt}i4" if bytes_per_sample == 3 else f"{fmt}i8" + a = numpy.zeros( + (len(data) // bytes_per_sample, numpy.dtype(dt).itemsize), dtype="V1" + ) + if is_big_endian: + a[:, :bytes_per_sample] = data.reshape((-1, bytes_per_sample)) + else: + a[:, -bytes_per_sample:] = data.reshape((-1, bytes_per_sample)) + data = a.view(dt).reshape(a.shape[:-1]) + else: + if bytes_per_sample in {1, 2, 4, 8}: + start = fid.tell() + data = numpy.memmap( + fid, dtype=dtype, mode="c", offset=start, shape=(n_samples,) + ) + fid.seek(start + size) + else: + raise ValueError( + "mmap=True not compatible with " + f"{bytes_per_sample}-byte container size." + ) + + _handle_pad_byte(fid, size) + + if channels > 1: + data = data.reshape(-1, channels) + return data + + +def _skip_unknown_chunk(fid, is_big_endian): + if is_big_endian: + fmt = ">I" + else: + fmt = ">> from os.path import dirname, join as pjoin + >>> from scipy.io import wavfile + >>> import scipy.io + + Get the filename for an example .wav file from the tests/data directory. + + >>> data_dir = pjoin(dirname(scipy.io.__file__), 'tests', 'data') + >>> wav_fname = pjoin(data_dir, 'test-44100Hz-2ch-32bit-float-be.wav') + + Load the .wav file contents. + + >>> samplerate, data = wavfile.read(wav_fname) + >>> print(f"number of channels = {data.shape[1]}") + number of channels = 2 + >>> length = data.shape[0] / samplerate + >>> print(f"length = {length}s") + length = 0.01s + + Plot the waveform. + + >>> import matplotlib.pyplot as plt + >>> import numpy as np + >>> time = np.linspace(0., length, data.shape[0]) + >>> plt.plot(time, data[:, 0], label="Left channel") + >>> plt.plot(time, data[:, 1], label="Right channel") + >>> plt.legend() + >>> plt.xlabel("Time [s]") + >>> plt.ylabel("Amplitude") + >>> plt.show() + + """ + if hasattr(filename, "read"): + fid = filename + mmap = False + else: + # pylint: disable=consider-using-with + fid = open(filename, "rb") + + try: + file_size, is_big_endian = _read_riff_chunk(fid) + fmt_chunk_received = False + data_chunk_received = False + while fid.tell() < file_size: + # read the next chunk + chunk_id = fid.read(4) + + if not chunk_id: + if data_chunk_received: + # End of file but data successfully read + warnings.warn( + f"Reached EOF prematurely; finished at {fid.tell()} bytes, " + "expected {file_size} bytes from header.", + WavFileWarning, + stacklevel=2, + ) + break + + raise ValueError("Unexpected end of file.") + if len(chunk_id) < 4: + msg = f"Incomplete chunk ID: {repr(chunk_id)}" + # If we have the data, ignore the broken chunk + if fmt_chunk_received and data_chunk_received: + warnings.warn(msg + ", ignoring it.", WavFileWarning, stacklevel=2) + else: + raise ValueError(msg) + + if chunk_id == b"fmt ": + fmt_chunk_received = True + fmt_chunk = _read_fmt_chunk(fid, is_big_endian) + format_tag, channels, fs = fmt_chunk[1:4] + bit_depth = fmt_chunk[6] + block_align = fmt_chunk[5] + elif chunk_id == b"fact": + _skip_unknown_chunk(fid, is_big_endian) + elif chunk_id == b"data": + data_chunk_received = True + if not fmt_chunk_received: + raise ValueError("No fmt chunk before data") + data = _read_data_chunk( + fid, + format_tag, + channels, + bit_depth, + is_big_endian, + block_align, + mmap, + ) + elif chunk_id == b"LIST": + # Someday this could be handled properly but for now skip it + _skip_unknown_chunk(fid, is_big_endian) + elif chunk_id in {b"JUNK", b"Fake"}: + # Skip alignment chunks without warning + _skip_unknown_chunk(fid, is_big_endian) + else: + warnings.warn( + "Chunk (non-data) not understood, skipping it.", + WavFileWarning, + stacklevel=2, + ) + _skip_unknown_chunk(fid, is_big_endian) + finally: + if not hasattr(filename, "read"): + fid.close() + else: + fid.seek(0) + + return fs, data + + +def write(filename, rate, data): + """ + Write a NumPy array as a WAV file. + + Parameters + ---------- + filename : string or open file handle + Output wav file. + rate : int + The sample rate (in samples/sec). + data : ndarray + A 1-D or 2-D NumPy array of either integer or float data-type. + + Notes + ----- + * Writes a simple uncompressed WAV file. + * To write multiple-channels, use a 2-D array of shape + (Nsamples, Nchannels). + * The bits-per-sample and PCM/float will be determined by the data-type. + + Common data types: [1]_ + + ===================== =========== =========== ============= + WAV format Min Max NumPy dtype + ===================== =========== =========== ============= + 32-bit floating-point -1.0 +1.0 float32 + 32-bit PCM -2147483648 +2147483647 int32 + 16-bit PCM -32768 +32767 int16 + 8-bit PCM 0 255 uint8 + ===================== =========== =========== ============= + + Note that 8-bit PCM is unsigned. + + References + ---------- + .. [1] IBM Corporation and Microsoft Corporation, "Multimedia Programming + Interface and Data Specifications 1.0", section "Data Format of the + Samples", August 1991 + http://www.tactilemedia.com/info/MCI_Control_Info.html + + Examples + -------- + Create a 100Hz sine wave, sampled at 44100Hz. + Write to 16-bit PCM, Mono. + + >>> from scipy.io.wavfile import write + >>> samplerate = 44100; fs = 100 + >>> t = np.linspace(0., 1., samplerate) + >>> amplitude = np.iinfo(np.int16).max + >>> data = amplitude * np.sin(2. * np.pi * fs * t) + >>> write("example.wav", samplerate, data.astype(np.int16)) + + """ + if hasattr(filename, "write"): + fid = filename + else: + # pylint: disable=consider-using-with + fid = open(filename, "wb") + + fs = rate + + try: + dkind = data.dtype.kind + if not ( + dkind == "i" or dkind == "f" or (dkind == "u" and data.dtype.itemsize == 1) + ): + raise ValueError(f"Unsupported data type '{data.dtype}'") + + header_data = b"" + + header_data += b"RIFF" + header_data += b"\x00\x00\x00\x00" + header_data += b"WAVE" + + # fmt chunk + header_data += b"fmt " + if dkind == "f": + format_tag = WAVE_FORMAT.IEEE_FLOAT + else: + format_tag = WAVE_FORMAT.PCM + if data.ndim == 1: + channels = 1 + else: + channels = data.shape[1] + bit_depth = data.dtype.itemsize * 8 + bytes_per_second = fs * (bit_depth // 8) * channels + block_align = channels * (bit_depth // 8) + + fmt_chunk_data = struct.pack( + " 0xFFFFFFFF: + raise ValueError("Data exceeds wave file size limit") + + fid.write(header_data) + + # data chunk + fid.write(b"data") + fid.write(struct.pack("" or ( + data.dtype.byteorder == "=" and sys.byteorder == "big" + ): + data = data.byteswap() + _array_tofile(fid, data) + + # Determine file size and place it in correct + # position at start of the file. + size = fid.tell() + fid.seek(4) + fid.write(struct.pack("/download_.sh +$ python recipes///train.py +``` + +For some datasets you might need to resample the audio files. For example, VCTK dataset can be resampled to 22050Hz as follows. + +```console +python TTS/bin/resample.py --input_dir recipes/vctk/VCTK/wav48_silence_trimmed --output_sr 22050 --output_dir recipes/vctk/VCTK/wav48_silence_trimmed --n_jobs 8 --file_ext flac +``` + +If you train a new model using TTS, feel free to share your training to expand the list of recipes. + +You can also open a new discussion and share your progress with the 🐸 community. diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/README.md b/components/Universal_TTS_Finetune/recipes/bel-alex73/README.md new file mode 100644 index 0000000..6075d31 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/README.md @@ -0,0 +1,62 @@ +This description was created based on [jhlfrfufyfn/ml-bel-tts](https://github.com/jhlfrfufyfn/ml-bel-tts). Thanks a lot to jhlfrfufyfn for advices, configuration, code and ideas. + +# Training + +This recipe uses [CommonVoice](https://commonvoice.mozilla.org/en/datasets) dataset. It has format mp3/32kHz/48kbps format and contains multiple speakers because it was created for voice recognition. Looks like it's the best voice corpus of Belarussian language for today. But for creating better voice synthesis it will require to record some specific corpus with good pronunciation and good record quality. + +Looks like for Belarusian Common Voice corpus there is no sense to train full big dataset (90 hours). It's enough 30 hours dataset, that makes very good progress for 350 epochs(24000 steps on 24GiB GPU). The quality of dataset is more important that size. + +To train a model, you need to: +- download code and data +- prepare training data and generate scale_stats file +- change configuration settings +- train TTS model (GlowTTS in this example) +- train Vocoder model (HiFiGAN in this example) + +We recommend to prepare all things locally, then train models on the external computer with fast GPU. Text below describes all these steps. + +## Download code and data + +It would be good to place all things into local folder like /mycomputer/. You need files: + +- Coqui-TTS - code from this git. For example, to /mycomputer/TTS/. *Expected result: you have /mycomputer/TTS/setup.py and other files from git.* +- [Common voice dataset](https://commonvoice.mozilla.org/en/datasets) into cv-corpus/ directory near Coqui-TTS. *Expected result: you have /mycomputer/cv-corpus/be/validated.tsv and more than 1 mln .mp3 files in the /mycomputer/cv-corpus/be/clips/.* +- Belarusian text to phonemes converter - fanetyka.jar from the [https://github.com/alex73/Software-Korpus/releases](https://github.com/alex73/Software-Korpus/releases), then place it to fanetyka/ near Coqui-TTS. *Expected result: you have file /mycomputer/fanetyka/fanetyka.jar* + +Prepared data will be stored into storage/ directory near Coqui-TTS, like /mycomputer/storage/. + +## Prepare to training - locally + +Docker container was created for simplify local running. You can run `docker-prepare-start.sh` to start environment. All commands below should be started in docker console. + +* Start jupyter by the command `jupyter notebook --no-browser --allow-root --port=2525 --ip=0.0.0.0`. It will display link to http. You need to open this link, then choose `recipes/bel-alex73/choose_speaker.ipynb` notebook. You should run cells one-by-one, listen different speakers and select speaker that you want to use. After all commands in notebook, you can press Ctrl+C in docker console to stop jupyter. *Expected result: directory /mycomputer/storage/filtered_dataset/ with df_speaker.csv file and many *.wav files.* + +* Convert text to phonemes: `java -cp /a/fanetyka/fanetyka.jar org.alex73.fanetyka.impl.FanetykaTTSPrepare /storage/filtered_dataset/df_speaker.csv /storage/filtered_dataset/ipa_final_dataset.csv`. It will display all used characters at the end. You can use these characters to modify config in train_glowtts.py. *Expected result: file /mycomputer/storage/filtered_dataset/ipa_final_dataset.csv* + +* Modify configs(if you need) in the train_glowtts.py and train_hifigan.py. Then export config to old json format to create scale_stats.npy by the command `python3 recipes/bel-alex73/dump_config.py > recipes/bel-alex73/config.json`. *Expected result: file /mycomputer/TTS/recipes/bel-alex73/config.json exists.* + +* Start scale_stats.npy, that will the model to learn better: `mkdir -p /storage/TTS/; python3 TTS/bin/compute_statistics.py --config_path recipes/bel-alex73/config.json --out_path /storage/TTS/scale_stats.npy`. *Expected result: file /mycomputer/storage/TTS/scale_stats.npy exists.* + +## Training - with GPU + +You need to upload Coqui-TTS(/mycomputer/TTS/) and storage/ directory(/mycomputer/storage/) to some computer with GPU. We don't need cv-corpus/ and fanetyka/ directories for training. Install gcc, then run `pip install -e .[all,dev,notebooks]` to prepare modules. GlowTTS and HifiGan models should be learned separately based on /storage/filtered_dataset only, i.e. they are not dependent from each other. below means list of GPU ids from zero("0,1,2,3" for systems with 4 GPU). See details on the https://coqui-tts.readthedocs.io/en/latest/tutorial_for_nervous_beginners.html (multi-gpu training). + +Current setup created for 24GiB GPU. You need to change batch_size if you have more or less GPU memory. Also, you can try to set lr(learning rate) to lower value in the end of training GlowTTS. + +* Start GlowTTS model training by the command `OMP_NUM_THREADS=2 CUDA_VISIBLE_DEVICES= python3 -m trainer.distribute --script recipes/bel-alex73/train_glowtts.py`. It will produce training data into storage/output/ directory. Usually 100.000 global steps required. *Expected behavior: You will see /storage/output-glowtts//best_model_.pth files.* + +* Start HiFiGAN model training by the command `OMP_NUM_THREADS=2 CUDA_VISIBLE_DEVICES= python3 -m trainer.distribute --script recipes/bel-alex73/train_hifigan.py`. *Expected behavior: You will see /storage/output-hifigan//best_model_.pth files.* + +## How to monitor training + +* Run `nvidia-smi` to be sure that training uses all GPUs and to be sure that you are using more than 90% GPU memory and utilization. + +* Run `tensorboard --logdir=/storage/output-/` to see alignment, avg_loss metrics and check audio evaluation. You need only events.out.tfevents.\* files for that. + +## Synthesizing speech + + tts --text "" --out_path output.wav \ + --config_path /storage/output-glowtts/run/config.json \ + --model_path /storage/output-glowtts/run/best_model.pth \ + --vocoder_config_path /storage/output-hifigan/run/config.json \ + --vocoder_path /storage/output-hifigan/run/best_model.pth diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/choose_speaker.ipynb b/components/Universal_TTS_Finetune/recipes/bel-alex73/choose_speaker.ipynb new file mode 100644 index 0000000..4941f60 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/choose_speaker.ipynb @@ -0,0 +1,346 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# This file was created by jhlfrfufyfn for choose speaker from the Belarusian Mozilla Voice corpus\n", + "#\n", + "#\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import os\n", + "import librosa" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# unpackage tar gz file cv-corpus-12.0-2022-12-07-be.tar.gz\n", + "# import tarfile\n", + "# tar = tarfile.open(\"cv-corpus-12.0-2022-12-07-be.tar.gz\", \"r:gz\")\n", + "# tar.extractall()\n", + "# tar.close()\n", + "\n", + "corpuspath = '/a/cv-corpus'\n", + "outputpath = '/storage/filtered_dataset'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# open validated.tsv\n", + "df = pd.read_csv(corpuspath+'/be/validated.tsv', sep='\\t' ,low_memory=False)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# drop from df columns age, accents\n", + "df = df.drop(['age', 'accents', 'gender', 'variant', 'locale', 'segment'], axis=1)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# count number of recordes with down_votes > 0\n", + "df[df['down_votes'] > 0].count()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# count number of recordes with up_votes == 0\n", + "df[df['up_votes'] == 0].count()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# drop all rows with down_votes > 0 and up_votes == 0\n", + "df = df[df['down_votes'] == 0]\n", + "df = df[df['up_votes'] > 0]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# drop column down_votes and up_votes\n", + "df = df.drop(['down_votes', 'up_votes'], axis=1)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# sort by count\n", + "df_sorted = df.groupby('client_id').count().sort_values(by='path', ascending=False)\n", + "df_sorted" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get top 10 speakers\n", + "top_10_speakers = df_sorted.head(10)\n", + "top_10_speakers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get for the first speaker ten random paths to audio files\n", + "def get_speaker_audio_list(speaker_id, n=10):\n", + " return df[df['client_id'] == speaker_id].sample(n)['path'].values.tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# CHOOSE : which speaker will we use\n", + "speaker_index = 0\n", + "speaker_audio_list = get_speaker_audio_list(top_10_speakers.index[speaker_index])\n", + "print(speaker_audio_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# open audio files from speaker_audio_list and play them\n", + "# audio files lie in cv-corpus-12.0-2022-12-07/be/clips\n", + "import IPython.display as ipd\n", + "for audio in speaker_audio_list:\n", + " audio = corpuspath+'/be/clips/' + audio\n", + " audio_data = ipd.Audio(audio)\n", + " display(audio_data)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 0 is pretty good\n", + "# 1 is bad\n", + "# 2 is partly 0, other are different\n", + "# 3 is bad\n", + "# 4 is pretty fast and clear, but not good\n", + "# 5 is echoing, sometimes mic cracks\n", + "# 6 is really slow and clear, but accent?\n", + "# 7 has a lot of intonation, but is pretty clear\n", + "# 8 is clear and slow, sometimes little mic crack\n", + "# 9 has background noise, whispering\n", + "\n", + "# options: 0, 6, 8" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# calculate speech rate in words per minute for each speaker\n", + "def get_speech_rate(speaker_id):\n", + " df_speaker = df[df['client_id'] == speaker_id]\n", + " # get 1000 random samples to calculate speech rate\n", + " df_speaker = df_speaker.sample(1000)\n", + " # get duration of each audio file\n", + " df_speaker['duration'] = df_speaker['path'].apply(lambda x: librosa.get_duration(path=corpuspath+'/be/clips/' + x))\n", + " # get number of words in each audio file\n", + " df_speaker['words'] = df_speaker['sentence'].apply(lambda x: len(x.split()))\n", + " # calculate speech rate\n", + " df_speaker['speech_rate'] = df_speaker['words'] / df_speaker['duration'] * 60\n", + " # return mean speech rate\n", + " return df_speaker['speech_rate'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# calculate speech rate for each speaker\n", + "print(f'Speech rate for speaker {speaker_index}: ', get_speech_rate(top_10_speakers.index[speaker_index]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def get_average_duration(df_speaker):\n", + " # get 1000 random samples to calculate speech rate\n", + " df_speaker = df_speaker.sample(1000)\n", + " # get duration of each audio file\n", + " df_speaker['duration'] = df_speaker['path'].apply(lambda x: librosa.get_duration(path=corpuspath+'/be/clips/' + x))\n", + " return df_speaker['duration'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_speaker = df[df['client_id'] == top_10_speakers.index[speaker_index]]\n", + "\n", + "avg_duration = get_average_duration(df_speaker)\n", + "avg_total_duration = avg_duration * len(df_speaker.index)\n", + "print(f'Average duration for speaker {speaker_index}: ', avg_duration, \", average total duration(hours): \",(avg_total_duration/60.0/60.0))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get df with speaker_index speaker \n", + "df_speaker = df[df['client_id'] == top_10_speakers.index[speaker_index]]\n", + "df_speaker = df_speaker.drop(['client_id'], axis=1)\n", + "\n", + "# get only x latest hours\n", + "limit_hours = 30\n", + "limit_files = round(limit_hours*60*60 / avg_duration)\n", + "df_speaker = df_speaker.tail(limit_files)\n", + "\n", + "df_speaker" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# # move all files of that speaker to another folder\n", + "# # use multiprocessing to speed up\n", + "# # add progress bar\n", + "# from tqdm import tqdm\n", + "# import multiprocessing\n", + "# from multiprocessing import Pool\n", + "# import shutil\n", + "\n", + "# def move_file(file):\n", + "# shutil.move(corpuspath+'/be/clips/' + file, corpuspath+'/be/speaker_0/' + file)\n", + "\n", + "# # get list of files to move\n", + "# files = df_speaker['path'].values.tolist()\n", + "\n", + "# # move files\n", + "# with Pool(multiprocessing.cpu_count()) as p:\n", + "# r = list(tqdm(p.imap(move_file, files), total=len(files)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# cleanup output and save text lines to csv\n", + "if os.path.isdir(outputpath):\n", + " for file in os.scandir(outputpath):\n", + " os.remove(file.path)\n", + "else:\n", + " os.mkdir(outputpath)\n", + "\n", + "df_speaker['path2'] = df_speaker['path'].str.replace('\\.mp3$','.wav', regex=True)\n", + "df_speaker[['path2','sentence']].to_csv(outputpath+'/df_speaker.csv', sep='|', header=False, index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# make rate=22050 of all mp3 files in speaker_0 folder with multiprocessing and tqdm\n", + "import multiprocessing\n", + "from multiprocessing import Pool\n", + "from tqdm import tqdm\n", + "from pydub import AudioSegment\n", + "\n", + "def convert_mp3_to_wav(file):\n", + " sound = AudioSegment.from_mp3(corpuspath+'/be/clips/' + file)\n", + " sound = sound.set_frame_rate(22050)\n", + " sound.export(outputpath+'/' + file[:-4] + '.wav', format='wav')\n", + "\n", + "# get list of files to convert\n", + "files = df_speaker['path'].values.tolist()\n", + "\n", + "# convert files\n", + "with Pool(multiprocessing.cpu_count()) as p:\n", + " r = list(tqdm(p.imap(convert_mp3_to_wav, files), total=len(files)))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare-start.sh b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare-start.sh new file mode 100644 index 0000000..a4ce3c6 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare-start.sh @@ -0,0 +1,19 @@ +#!/bin/bash +set -x + +cd $( dirname -- "$0"; ) + +cp ../../requirements*.txt docker-prepare/ + +docker build -t tts-learn -f docker-prepare/Dockerfile docker-prepare/ + +mkdir -p ../../../storage +docker run --rm -it \ + -p 2525:2525 \ + --shm-size=256M \ + --name tts-learn-run \ + -v $(pwd)/../../:/a/TTS \ + -v $(pwd)/../../../cv-corpus:/a/cv-corpus \ + -v $(pwd)/../../../fanetyka/:/a/fanetyka/ \ + -v $(pwd)/../../../storage:/storage \ + tts-learn diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/Dockerfile b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/Dockerfile new file mode 100644 index 0000000..fd9b745 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/Dockerfile @@ -0,0 +1,18 @@ +FROM ubuntu:22.04 + +RUN apt -y update +RUN apt -y upgrade +RUN apt -y install --no-install-recommends pip ffmpeg openjdk-19-jre-headless + +RUN mkdir /a/ +ADD requirements*.txt /a/ +WORKDIR /a/ +RUN pip install -r requirements.txt -r requirements.dev.txt -r requirements.notebooks.txt +RUN pip install seaborn pydub notebook + +RUN apt -y install --no-install-recommends gcc libpython3.10-dev + +ADD runtime.sh /a/ + +WORKDIR /a/TTS/ +CMD /a/runtime.sh diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/runtime.sh b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/runtime.sh new file mode 100644 index 0000000..27b723b --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/docker-prepare/runtime.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +cd /a/TTS +pip install -e .[all,dev,notebooks] + +LANG=C.utf8 bash diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/dump_config.py b/components/Universal_TTS_Finetune/recipes/bel-alex73/dump_config.py new file mode 100644 index 0000000..c4d3072 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/dump_config.py @@ -0,0 +1,8 @@ +import json +import re + +from train_glowtts import config + +s = json.dumps(config, default=vars, indent=2) +s = re.sub(r'"test_sentences":\s*\[\],', "", s) +print(s) diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/train_glowtts.py b/components/Universal_TTS_Finetune/recipes/bel-alex73/train_glowtts.py new file mode 100644 index 0000000..74866be --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/train_glowtts.py @@ -0,0 +1,113 @@ +import os + +# Trainer: Where the ✨️ happens. +# TrainingArgs: Defines the set of arguments of the Trainer. +from trainer import Trainer, TrainerArgs + +# GlowTTSConfig: all model related values for training, validating and testing. +from TTS.tts.configs.glow_tts_config import GlowTTSConfig + +# BaseDatasetConfig: defines name, formatter and path of the dataset. +from TTS.tts.configs.shared_configs import BaseAudioConfig, BaseDatasetConfig, CharactersConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.glow_tts import GlowTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +# we use the same path as this script as our training folder. +output_path = "/storage/output-glowtts/" + + +# DEFINE DATASET CONFIG +# Set LJSpeech as our target dataset and define its path. +# You can also use a simple Dict to define the dataset and pass it to your custom formatter. +dataset_config = BaseDatasetConfig( + formatter="bel_tts_formatter", + meta_file_train="ipa_final_dataset.csv", + path=os.path.join(output_path, "/storage/filtered_dataset/"), +) + +characters = CharactersConfig( + characters_class="TTS.tts.utils.text.characters.Graphemes", + pad="_", + eos="~", + bos="^", + blank="@", + characters="Iabdfgijklmnprstuvxzɔɛɣɨɫɱʂʐʲˈː̯͡β", + punctuations="!,.?: -‒–—…", +) + +audio_config = BaseAudioConfig( + mel_fmin=50, + mel_fmax=8000, + hop_length=256, + stats_path="/storage/TTS/scale_stats.npy", +) + +# INITIALIZE THE TRAINING CONFIGURATION +# Configure the model. Every config class inherits the BaseTTSConfig. +config = GlowTTSConfig( + batch_size=96, + eval_batch_size=32, + num_loader_workers=8, + num_eval_loader_workers=8, + use_noise_augment=True, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + print_step=50, + print_eval=True, + output_path=output_path, + add_blank=True, + datasets=[dataset_config], + # characters=characters, + enable_eos_bos_chars=True, + mixed_precision=False, + save_step=10000, + save_n_checkpoints=2, + save_best_after=5000, + text_cleaner="no_cleaners", + audio=audio_config, + test_sentences=[], + use_phonemes=True, + phoneme_language="be", +) + +if __name__ == "__main__": + # INITIALIZE THE AUDIO PROCESSOR + # Audio processor is used for feature extraction and audio I/O. + # It mainly serves to the dataloader and the training loggers. + ap = AudioProcessor.init_from_config(config) + + # INITIALIZE THE TOKENIZER + # Tokenizer is used to convert text to sequences of token IDs. + # If characters are not defined in the config, default characters are passed to the config + tokenizer, config = TTSTokenizer.init_from_config(config) + + # LOAD DATA SAMPLES + # Each sample is a list of ```[text, audio_file_path, speaker_name]``` + # You can define your custom sample loader returning the list of samples. + # Or define your custom formatter and pass it to the `load_tts_samples`. + # Check `TTS.tts.datasets.load_tts_samples` for more details. + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + + # INITIALIZE THE MODEL + # Models take a config object and a speaker manager as input + # Config defines the details of the model like the number of layers, the size of the embedding, etc. + # Speaker manager is used by multi-speaker models. + model = GlowTTS(config, ap, tokenizer, speaker_manager=None) + + # INITIALIZE THE TRAINER + # Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, + # distributed training, etc. + trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples + ) + + # AND... 3,2,1... 🚀 + trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/bel-alex73/train_hifigan.py b/components/Universal_TTS_Finetune/recipes/bel-alex73/train_hifigan.py new file mode 100644 index 0000000..78221a9 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/bel-alex73/train_hifigan.py @@ -0,0 +1,57 @@ +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseAudioConfig +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs.hifigan_config import HifiganConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = "/storage/output-hifigan/" + +audio_config = BaseAudioConfig( + mel_fmin=50, + mel_fmax=8000, + hop_length=256, + stats_path="/storage/TTS/scale_stats.npy", +) + +config = HifiganConfig( + batch_size=74, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=8, + lr_disc=0.0002, + lr_gen=0.0002, + run_eval=True, + test_delay_epochs=5, + epochs=1000, + use_noise_augment=True, + seq_len=8192, + pad_short=2000, + save_step=5000, + print_step=50, + print_eval=True, + mixed_precision=False, + eval_split_size=30, + save_n_checkpoints=2, + save_best_after=5000, + data_path="/storage/filtered_dataset", + output_path=output_path, + audio=audio_config, +) + +# init audio processor +ap = AudioProcessor.init_from_config(config) + +# load training samples +print("config.eval_split_size = ", config.eval_split_size) +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/blizzard2013/README.md b/components/Universal_TTS_Finetune/recipes/blizzard2013/README.md new file mode 100644 index 0000000..75f17a5 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/blizzard2013/README.md @@ -0,0 +1,12 @@ +# How to get the Blizzard 2013 Dataset + +The Capacitron model is a variational encoder extension of standard Tacotron based models to model prosody. + +To take full advantage of the model, it is advised to train the model with a dataset that contains a significant amount of prosodic information in the utterances. A tested candidate for such applications is the blizzard2013 dataset from the Blizzard Challenge, containing many hours of high quality audio book recordings. + +To get a license and download link for this dataset, you need to visit the [website](https://www.cstr.ed.ac.uk/projects/blizzard/2013/lessac_blizzard2013/license.html) of the Centre for Speech Technology Research of the University of Edinburgh. + +You get access to the raw dataset in a couple of days. There are a few preprocessing steps you need to do to be able to use the high fidelity dataset. + +1. Get the forced time alignments for the blizzard dataset from [here](https://github.com/mueller91/tts_alignments). +2. Segment the high fidelity audio-book files based on the instructions [here](https://github.com/Tomiinek/Blizzard2013_Segmentation). diff --git a/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron1-Capacitron/train_capacitron_t1.py b/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron1-Capacitron/train_capacitron_t1.py new file mode 100644 index 0000000..0243735 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron1-Capacitron/train_capacitron_t1.py @@ -0,0 +1,99 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig, CapacitronVAEConfig +from TTS.tts.configs.tacotron_config import TacotronConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron import Tacotron +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +data_path = "/srv/data/" + +# Using LJSpeech like dataset processing for the blizzard dataset +dataset_config = BaseDatasetConfig(formatter="ljspeech", meta_file_train="metadata.csv", path=data_path) + +audio_config = BaseAudioConfig( + sample_rate=24000, + do_trim_silence=True, + trim_db=60.0, + signal_norm=True, + mel_fmin=80.0, + mel_fmax=12000, + spec_gain=20.0, + log_func="np.log10", + ref_level_db=20, + preemphasis=0.0, + min_level_db=-100, +) + +# Using the standard Capacitron config +capacitron_config = CapacitronVAEConfig(capacitron_VAE_loss_alpha=1.0) + +config = TacotronConfig( + run_name="Blizzard-Capacitron-T1", + audio=audio_config, + capacitron_vae=capacitron_config, + use_capacitron_vae=True, + batch_size=128, # Tune this to your gpu + max_audio_len=6 * 24000, # Tune this to your gpu + min_audio_len=0.5 * 24000, + eval_batch_size=16, + num_loader_workers=12, + num_eval_loader_workers=8, + precompute_num_workers=24, + run_eval=True, + test_delay_epochs=5, + r=2, + optimizer="CapacitronOptimizer", + optimizer_params={"RAdam": {"betas": [0.9, 0.998], "weight_decay": 1e-6}, "SGD": {"lr": 1e-5, "momentum": 0.9}}, + attention_type="graves", + attention_heads=5, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phonemizer="espeak", + phoneme_cache_path=os.path.join(data_path, "phoneme_cache"), + stopnet_pos_weight=15, + print_step=50, + print_eval=True, + mixed_precision=False, + output_path=output_path, + datasets=[dataset_config], + lr=1e-3, + lr_scheduler="StepwiseGradualLR", + lr_scheduler_params={"gradual_learning_rates": [[0, 1e-3], [2e4, 5e-4], [4e4, 3e-4], [6e4, 1e-4], [8e4, 5e-5]]}, + scheduler_after_epoch=False, # scheduler doesn't work without this flag + loss_masking=False, + decoder_loss_alpha=1.0, + postnet_loss_alpha=1.0, + postnet_diff_spec_alpha=1.0, + decoder_diff_spec_alpha=1.0, + decoder_ssim_alpha=1.0, + postnet_ssim_alpha=1.0, +) + +ap = AudioProcessor(**config.audio.to_dict()) + +tokenizer, config = TTSTokenizer.init_from_config(config) + +train_samples, eval_samples = load_tts_samples(dataset_config, eval_split=True) + +model = Tacotron(config, ap, tokenizer, speaker_manager=None) + +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) + +# 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron2-Capacitron/train_capacitron_t2.py b/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron2-Capacitron/train_capacitron_t2.py new file mode 100644 index 0000000..b41676d --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/blizzard2013/tacotron2-Capacitron/train_capacitron_t2.py @@ -0,0 +1,113 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig, CapacitronVAEConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +data_path = "/srv/data/blizzard2013/segmented" + +# Using LJSpeech like dataset processing for the blizzard dataset +dataset_config = BaseDatasetConfig( + formatter="ljspeech", + meta_file_train="metadata.csv", + path=data_path, +) + +audio_config = BaseAudioConfig( + sample_rate=24000, + do_trim_silence=True, + trim_db=60.0, + signal_norm=True, + mel_fmin=80.0, + mel_fmax=12000, + spec_gain=25.0, + log_func="np.log10", + ref_level_db=20, + preemphasis=0.0, + min_level_db=-100, +) + +# Using the standard Capacitron config +capacitron_config = CapacitronVAEConfig(capacitron_VAE_loss_alpha=1.0) + +config = Tacotron2Config( + run_name="Blizzard-Capacitron-T2", + audio=audio_config, + capacitron_vae=capacitron_config, + use_capacitron_vae=True, + batch_size=246, # Tune this to your gpu + max_audio_len=6 * 24000, # Tune this to your gpu + min_audio_len=1 * 24000, + eval_batch_size=16, + num_loader_workers=12, + num_eval_loader_workers=8, + precompute_num_workers=24, + run_eval=True, + test_delay_epochs=5, + r=2, + optimizer="CapacitronOptimizer", + optimizer_params={"RAdam": {"betas": [0.9, 0.998], "weight_decay": 1e-6}, "SGD": {"lr": 1e-5, "momentum": 0.9}}, + attention_type="dynamic_convolution", + grad_clip=0.0, # Important! We overwrite the standard grad_clip with capacitron_grad_clip + double_decoder_consistency=False, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phonemizer="espeak", + phoneme_cache_path=os.path.join(data_path, "phoneme_cache"), + stopnet_pos_weight=15, + print_step=25, + print_eval=True, + mixed_precision=False, + output_path=output_path, + datasets=[dataset_config], + lr=1e-3, + lr_scheduler="StepwiseGradualLR", + lr_scheduler_params={ + "gradual_learning_rates": [ + [0, 1e-3], + [2e4, 5e-4], + [4e4, 3e-4], + [6e4, 1e-4], + [8e4, 5e-5], + ] + }, + scheduler_after_epoch=False, # scheduler doesn't work without this flag + seq_len_norm=True, + loss_masking=False, + decoder_loss_alpha=1.0, + postnet_loss_alpha=1.0, + postnet_diff_spec_alpha=1.0, + decoder_diff_spec_alpha=1.0, + decoder_ssim_alpha=1.0, + postnet_ssim_alpha=1.0, +) + +ap = AudioProcessor(**config.audio.to_dict()) + +tokenizer, config = TTSTokenizer.init_from_config(config) + +train_samples, eval_samples = load_tts_samples(dataset_config, eval_split=True) + +model = Tacotron2(config, ap, tokenizer, speaker_manager=None) + +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) + +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/run.sh b/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/run.sh new file mode 100644 index 0000000..3f18f2c --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/run.sh @@ -0,0 +1,23 @@ +#!/bin/bash +# take the scripts's parent's directory to prefix all the output paths. +RUN_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" +CORPUS=kokoro-speech-v1_1-small +echo $RUN_DIR +if [ \! -d $RUN_DIR/$CORPUS ] ; then + echo "$RUN_DIR/$CORPUS doesn't exist." + echo "Follow the instruction of https://github.com/kaiidams/Kokoro-Speech-Dataset to make the corpus." + exit 1 +fi +# create train-val splits +shuf $RUN_DIR/$CORPUS/metadata.csv > $RUN_DIR/$CORPUS/metadata_shuf.csv +head -n 8000 $RUN_DIR/$CORPUS/metadata_shuf.csv > $RUN_DIR/$CORPUS/metadata_train.csv +tail -n 812 $RUN_DIR/$CORPUS/metadata_shuf.csv > $RUN_DIR/$CORPUS/metadata_val.csv +# compute dataset mean and variance for normalization +python TTS/bin/compute_statistics.py $RUN_DIR/tacotron2-DDC.json $RUN_DIR/scale_stats.npy --data_path $RUN_DIR/$CORPUS/wavs/ +# training .... +# change the GPU id if needed +CUDA_VISIBLE_DEVICES="0" python TTS/bin/train_tts.py --config_path $RUN_DIR/tacotron2-DDC.json \ + --coqpit.output_path $RUN_DIR \ + --coqpit.datasets.0.path $RUN_DIR/$CORPUS \ + --coqpit.audio.stats_path $RUN_DIR/scale_stats.npy \ + --coqpit.phoneme_cache_path $RUN_DIR/phoneme_cache \ diff --git a/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/tacotron2-DDC.json b/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/tacotron2-DDC.json new file mode 100644 index 0000000..f422203 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/kokoro/tacotron2-DDC/tacotron2-DDC.json @@ -0,0 +1,125 @@ +{ + "datasets": [ + { + "formatter": "kokoro", + "path": "DEFINE THIS", + "meta_file_train": "metadata.csv", + "meta_file_val": null + } + ], + "audio": { + "fft_size": 1024, + "win_length": 1024, + "hop_length": 256, + "frame_length_ms": null, + "frame_shift_ms": null, + "sample_rate": 22050, + "preemphasis": 0.0, + "ref_level_db": 20, + "do_trim_silence": true, + "trim_db": 60, + "power": 1.5, + "griffin_lim_iters": 60, + "num_mels": 80, + "mel_fmin": 50.0, + "mel_fmax": 7600.0, + "spec_gain": 1, + "signal_norm": true, + "min_level_db": -100, + "symmetric_norm": true, + "max_norm": 4.0, + "clip_norm": true, + "stats_path": "scale_stats.npy" + }, + "gst":{ + "gst_style_input": null, + + + + "gst_embedding_dim": 512, + "gst_num_heads": 4, + "gst_style_tokens": 10, + "gst_use_speaker_embedding": false + }, + "model": "Tacotron2", + "run_name": "kokoro-ddc", + "run_description": "tacotron2 with DDC and differential spectral loss.", + "batch_size": 32, + "eval_batch_size": 16, + "mixed_precision": true, + "distributed": { + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + "reinit_layers": [], + "loss_masking": true, + "decoder_loss_alpha": 0.5, + "postnet_loss_alpha": 0.25, + "postnet_diff_spec_alpha": 0.25, + "decoder_diff_spec_alpha": 0.25, + "decoder_ssim_alpha": 0.5, + "postnet_ssim_alpha": 0.25, + "ga_alpha": 5.0, + "stopnet_pos_weight": 15.0, + "run_eval": true, + "test_delay_epochs": 10, + "test_sentences_file": null, + "noam_schedule": false, + "grad_clip": 1.0, + "epochs": 1000, + "lr": 0.0001, + "wd": 0.000001, + "warmup_steps": 4000, + "seq_len_norm": false, + "memory_size": -1, + "prenet_type": "original", + "prenet_dropout": true, + "attention_type": "original", + "windowing": false, + "use_forward_attn": false, + "forward_attn_mask": false, + "transition_agent": false, + "location_attn": true, + "bidirectional_decoder": false, + "double_decoder_consistency": true, + "ddc_r": 7, + "attention_heads": 4, + "attention_norm": "sigmoid", + "r": 7, + "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], + "stopnet": true, + "separate_stopnet": true, + "print_step": 25, + "tb_plot_step": 100, + "print_eval": false, + "save_step": 10000, + "checkpoint": true, + "keep_all_best": false, + "keep_after": 10000, + "tb_model_param_stats": false, + "text_cleaner": "basic_cleaners", + "enable_eos_bos_chars": false, + "num_loader_workers": 4, + "num_val_loader_workers": 4, + "batch_group_size": 4, + "min_seq_len": 6, + "max_seq_len": 153, + "compute_input_seq_cache": false, + "use_noise_augment": true, + "output_path": "DEFINE THIS", + "phoneme_cache_path": "DEFINE THIS", + "use_phonemes": true, + "phoneme_language": "ja-jp", + "characters": { + "pad": "_", + "eos": "~", + "bos": "^", + "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ", + "punctuations": "!'(),-.:;? ", + "phonemes": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" + }, + "use_speaker_embedding": false, + "use_gst": false, + "use_external_speaker_embedding_file": false, + "external_speaker_embedding_file": "../../speakers-vctk-en.json" +} diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/README.md b/components/Universal_TTS_Finetune/recipes/ljspeech/README.md new file mode 100644 index 0000000..94508a7 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/README.md @@ -0,0 +1,19 @@ +# 🐸💬 TTS LJspeech Recipes + +For running the recipes + +1. Download the LJSpeech dataset here either manually from [its official website](https://keithito.com/LJ-Speech-Dataset/) or using ```download_ljspeech.sh```. +2. Go to your desired model folder and run the training. + + Running Python files. (Choose the desired GPU ID for your run and set ```CUDA_VISIBLE_DEVICES```) + ```terminal + CUDA_VISIBLE_DEVICES="0" python train_modelX.py + ``` + + Running bash scripts. + ```terminal + bash run.sh + ``` + +💡 Note that these runs are just templates to help you start training your first model. They are not optimized for the best +result. Double-check the configurations and feel free to share your experiments to find better parameters together 💪. diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/align_tts/train_aligntts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/align_tts/train_aligntts.py new file mode 100644 index 0000000..a00b278 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/align_tts/train_aligntts.py @@ -0,0 +1,89 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.align_tts_config import AlignTTSConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.align_tts import AlignTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) +config = AlignTTSConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=False, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=True, + mixed_precision=False, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# init model +model = AlignTTS(config, ap, tokenizer) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/delightful_tts/train_delightful_tts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/delightful_tts/train_delightful_tts.py new file mode 100644 index 0000000..f1c9ed3 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/delightful_tts/train_delightful_tts.py @@ -0,0 +1,103 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.configs.delightful_tts_config import DelightfulTtsAudioConfig, DelightfulTTSConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.delightful_tts import DelightfulTTS, DelightfulTtsArgs, VocoderConfig +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio.processor import AudioProcessor + +data_path = "" +output_path = os.path.dirname(os.path.abspath(__file__)) + +dataset_config = BaseDatasetConfig( + dataset_name="ljspeech", formatter="ljspeech", meta_file_train="metadata.csv", path=data_path +) + +audio_config = DelightfulTtsAudioConfig() +model_args = DelightfulTtsArgs() + +vocoder_config = VocoderConfig() + +delightful_tts_config = DelightfulTTSConfig( + run_name="delightful_tts_ljspeech", + run_description="Train like in delightful tts paper.", + model_args=model_args, + audio=audio_config, + vocoder=vocoder_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=10, + num_eval_loader_workers=10, + precompute_num_workers=10, + batch_group_size=2, + compute_input_seq_cache=True, + compute_f0=True, + f0_cache_path=os.path.join(output_path, "f0_cache"), + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=50, + print_eval=False, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], + start_by_longest=False, + eval_split_size=0.1, + binary_align_loss_alpha=0.0, + use_attn_priors=False, + lr_gen=4e-1, + lr=4e-1, + lr_disc=4e-1, + max_text_len=130, +) + +tokenizer, config = TTSTokenizer.init_from_config(delightful_tts_config) + +ap = AudioProcessor.init_from_config(config) + + +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +model = DelightfulTTS(ap=ap, config=config, tokenizer=tokenizer, speaker_manager=None) + +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) + +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/download_ljspeech.sh b/components/Universal_TTS_Finetune/recipes/ljspeech/download_ljspeech.sh new file mode 100644 index 0000000..21c3e0e --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/download_ljspeech.sh @@ -0,0 +1,14 @@ +#!/bin/bash +# take the scripts's parent's directory to prefix all the output paths. +RUN_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" +echo $RUN_DIR +# download LJSpeech dataset +wget http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2 +# extract +tar -xjf LJSpeech-1.1.tar.bz2 +# create train-val splits +shuf LJSpeech-1.1/metadata.csv > LJSpeech-1.1/metadata_shuf.csv +head -n 12000 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_train.csv +tail -n 1100 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_val.csv +mv LJSpeech-1.1 $RUN_DIR/recipes/ljspeech/ +rm LJSpeech-1.1.tar.bz2 diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/fast_pitch/train_fast_pitch.py b/components/Universal_TTS_Finetune/recipes/ljspeech/fast_pitch/train_fast_pitch.py new file mode 100644 index 0000000..b71361d --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/fast_pitch/train_fast_pitch.py @@ -0,0 +1,138 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.fast_pitch_config import FastPitchConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.manage import ModelManager + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", + meta_file_train="metadata.csv", + # meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"), + path=os.path.join(output_path, "../LJSpeech-1.1/"), +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = FastPitchConfig( + run_name="fast_pitch_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + compute_f0=True, + f0_cache_path=os.path.join(output_path, "f0_cache"), + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=4, + print_step=50, + print_eval=False, + mixed_precision=False, + min_seq_len=13, + max_seq_len=500000, + output_path=output_path, + datasets=[dataset_config], +) + +# compute alignments +if not config.model_args.use_aligner: + manager = ModelManager() + model_path, config_path, _ = manager.download_model("tts_models/en/ljspeech/tacotron2-DCA") + # TODO: make compute_attention python callable + os.system( + f"python TTS/bin/compute_attention_masks.py --model_path {model_path} --config_path {config_path} --dataset ljspeech --dataset_metafile metadata.csv --data_path ./recipes/ljspeech/LJSpeech-1.1/ --use_cuda" + ) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# Filter by actual phoneme token length (min_seq_len in config only checks character count, +# but the encoder kernel_size=13 requires ≥13 PHONEME tokens or it crashes at runtime). +_ENCODER_KERNEL_SIZE = 13 + +def _phoneme_len_ok(sample): + try: + ids = tokenizer.text_to_ids(sample["text"], sample.get("language", None)) + return len(ids) >= _ENCODER_KERNEL_SIZE + except Exception: + return True # keep sample if we can't check + +_before = len(train_samples) + len(eval_samples) +train_samples = [s for s in train_samples if _phoneme_len_ok(s)] +eval_samples = [s for s in eval_samples if _phoneme_len_ok(s)] +_after = len(train_samples) + len(eval_samples) +if _before != _after: + print(f" > Dropped {_before - _after} sample(s) whose phoneme sequence was shorter than encoder kernel_size={_ENCODER_KERNEL_SIZE}") + +# init the model +model = ForwardTTS(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/fast_speech/train_fast_speech.py b/components/Universal_TTS_Finetune/recipes/ljspeech/fast_speech/train_fast_speech.py new file mode 100644 index 0000000..926a710 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/fast_speech/train_fast_speech.py @@ -0,0 +1,137 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.fast_speech_config import FastSpeechConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.manage import ModelManager + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", + meta_file_train="metadata.csv", + # meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"), + path=os.path.join(output_path, "../LJSpeech-1.1/"), +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = FastSpeechConfig( + run_name="fast_speech_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + compute_f0=False, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=8, + print_step=50, + print_eval=False, + mixed_precision=False, + min_seq_len=13, + max_seq_len=500000, + output_path=output_path, + datasets=[dataset_config], +) + +# compute alignments +if not config.model_args.use_aligner: + manager = ModelManager() + model_path, config_path, _ = manager.download_model("tts_models/en/ljspeech/tacotron2-DCA") + # TODO: make compute_attention python callable + os.system( + f"python TTS/bin/compute_attention_masks.py --model_path {model_path} --config_path {config_path} --dataset ljspeech --dataset_metafile metadata.csv --data_path ./recipes/ljspeech/LJSpeech-1.1/ --use_cuda" + ) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# Filter by actual phoneme token length (min_seq_len in config only checks character count, +# but the encoder kernel_size=13 requires ≥13 PHONEME tokens or it crashes at runtime). +_ENCODER_KERNEL_SIZE = 13 + +def _phoneme_len_ok(sample): + try: + ids = tokenizer.text_to_ids(sample["text"], sample.get("language", None)) + return len(ids) >= _ENCODER_KERNEL_SIZE + except Exception: + return True # keep sample if we can't check + +_before = len(train_samples) + len(eval_samples) +train_samples = [s for s in train_samples if _phoneme_len_ok(s)] +eval_samples = [s for s in eval_samples if _phoneme_len_ok(s)] +_after = len(train_samples) + len(eval_samples) +if _before != _after: + print(f" > Dropped {_before - _after} sample(s) whose phoneme sequence was shorter than encoder kernel_size={_ENCODER_KERNEL_SIZE}") + +# init the model +model = ForwardTTS(config, ap, tokenizer) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/fastspeech2/train_fastspeech2.py b/components/Universal_TTS_Finetune/recipes/ljspeech/fastspeech2/train_fastspeech2.py new file mode 100644 index 0000000..f758179 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/fastspeech2/train_fastspeech2.py @@ -0,0 +1,140 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.fastspeech2_config import Fastspeech2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.manage import ModelManager + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", + meta_file_train="metadata.csv", + # meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"), + path=os.path.join(output_path, "../LJSpeech-1.1/"), +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = Fastspeech2Config( + run_name="fastspeech2_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + compute_f0=True, + f0_cache_path=os.path.join(output_path, "f0_cache"), + compute_energy=True, + energy_cache_path=os.path.join(output_path, "energy_cache"), + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=4, + print_step=50, + print_eval=False, + mixed_precision=False, + min_seq_len=13, + max_seq_len=500000, + output_path=output_path, + datasets=[dataset_config], +) + +# compute alignments +if not config.model_args.use_aligner: + manager = ModelManager() + model_path, config_path, _ = manager.download_model("tts_models/en/ljspeech/tacotron2-DCA") + # TODO: make compute_attention python callable + os.system( + f"python TTS/bin/compute_attention_masks.py --model_path {model_path} --config_path {config_path} --dataset ljspeech --dataset_metafile metadata.csv --data_path ./recipes/ljspeech/LJSpeech-1.1/ --use_cuda" + ) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# Filter by actual phoneme token length (min_seq_len in config only checks character count, +# but the encoder kernel_size=13 requires ≥13 PHONEME tokens or it crashes at runtime). +_ENCODER_KERNEL_SIZE = 13 + +def _phoneme_len_ok(sample): + try: + ids = tokenizer.text_to_ids(sample["text"], sample.get("language", None)) + return len(ids) >= _ENCODER_KERNEL_SIZE + except Exception: + return True # keep sample if we can't check + +_before = len(train_samples) + len(eval_samples) +train_samples = [s for s in train_samples if _phoneme_len_ok(s)] +eval_samples = [s for s in eval_samples if _phoneme_len_ok(s)] +_after = len(train_samples) + len(eval_samples) +if _before != _after: + print(f" > Dropped {_before - _after} sample(s) whose phoneme sequence was shorter than encoder kernel_size={_ENCODER_KERNEL_SIZE}") + +# init the model +model = ForwardTTS(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/glow_tts/train_glowtts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/glow_tts/train_glowtts.py new file mode 100644 index 0000000..a97170b --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/glow_tts/train_glowtts.py @@ -0,0 +1,103 @@ +import os + +# Trainer: Where the ✨️ happens. +# TrainingArgs: Defines the set of arguments of the Trainer. +from trainer import Trainer, TrainerArgs + +# GlowTTSConfig: all model related values for training, validating and testing. +from TTS.tts.configs.glow_tts_config import GlowTTSConfig + +# BaseDatasetConfig: defines name, formatter and path of the dataset. +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.glow_tts import GlowTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +# we use the same path as this script as our training folder. +output_path = os.path.dirname(os.path.abspath(__file__)) + +# DEFINE DATASET CONFIG +# Set LJSpeech as our target dataset and define its path. +# You can also use a simple Dict to define the dataset and pass it to your custom formatter. +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) + +# INITIALIZE THE TRAINING CONFIGURATION +# Configure the model. Every config class inherits the BaseTTSConfig. +config = GlowTTSConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=False, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = GlowTTS(config, ap, tokenizer, speaker_manager=None) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/hifigan/train_hifigan.py b/components/Universal_TTS_Finetune/recipes/ljspeech/hifigan/train_hifigan.py new file mode 100644 index 0000000..b4cbae6 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/hifigan/train_hifigan.py @@ -0,0 +1,46 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs import HifiganConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) + +config = HifiganConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=5, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/"), + output_path=output_path, +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/multiband_melgan/train_multiband_melgan.py b/components/Universal_TTS_Finetune/recipes/ljspeech/multiband_melgan/train_multiband_melgan.py new file mode 100644 index 0000000..225f5a3 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/multiband_melgan/train_multiband_melgan.py @@ -0,0 +1,46 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs import MultibandMelganConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) + +config = MultibandMelganConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=5, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/"), + output_path=output_path, +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/neuralhmm_tts/train_neuralhmmtts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/neuralhmm_tts/train_neuralhmmtts.py new file mode 100644 index 0000000..f643d10 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/neuralhmm_tts/train_neuralhmmtts.py @@ -0,0 +1,115 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.neuralhmm_tts_config import NeuralhmmTTSConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.neuralhmm_tts import NeuralhmmTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join("data", "LJSpeech-1.1/") +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = NeuralhmmTTSConfig( # This is the config that is saved for the future use + run_name="neuralhmmtts_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=8, + mel_statistics_parameter_path=os.path.join(output_path, "lj_parameters.pt"), + force_generate_statistics=False, + print_step=1, + print_eval=True, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = NeuralhmmTTS(config, ap, tokenizer) + + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + gpu=1, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/lj_parameters.pt b/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/lj_parameters.pt new file mode 100644 index 0000000..a8d5dc3 Binary files /dev/null and b/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/lj_parameters.pt differ diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/train_overflow.py b/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/train_overflow.py new file mode 100644 index 0000000..3c916e8 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/overflow/train_overflow.py @@ -0,0 +1,115 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.overflow_config import OverflowConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.overflow import Overflow +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join("data", "LJSpeech-1.1/") +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = OverflowConfig( # This is the config that is saved for the future use + run_name="overflow_ljspeech", + audio=audio_config, + batch_size=30, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=8, + mel_statistics_parameter_path=os.path.join(output_path, "lj_parameters.pt"), + force_generate_statistics=False, + print_step=1, + print_eval=True, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = Overflow(config, ap, tokenizer) + + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + gpu=1, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/speedy_speech/train_speedy_speech.py b/components/Universal_TTS_Finetune/recipes/ljspeech/speedy_speech/train_speedy_speech.py new file mode 100644 index 0000000..450cab3 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/speedy_speech/train_speedy_speech.py @@ -0,0 +1,125 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.speedy_speech_config import SpeedySpeechConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = SpeedySpeechConfig( + run_name="speedy_speech_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=4, + print_step=50, + print_eval=False, + mixed_precision=False, + min_seq_len=13, + max_seq_len=500000, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# Filter by actual phoneme token length (min_seq_len in config only checks character count, +# but the encoder kernel_size=13 requires ≥13 PHONEME tokens or it crashes at runtime). +_ENCODER_KERNEL_SIZE = 13 + +def _phoneme_len_ok(sample): + try: + ids = tokenizer.text_to_ids(sample["text"], sample.get("language", None)) + return len(ids) >= _ENCODER_KERNEL_SIZE + except Exception: + return True # keep sample if we can't check + +_before = len(train_samples) + len(eval_samples) +train_samples = [s for s in train_samples if _phoneme_len_ok(s)] +eval_samples = [s for s in eval_samples if _phoneme_len_ok(s)] +_after = len(train_samples) + len(eval_samples) +if _before != _after: + print(f" > Dropped {_before - _after} sample(s) whose phoneme sequence was shorter than encoder kernel_size={_ENCODER_KERNEL_SIZE}") + +# init model +model = ForwardTTS(config, ap, tokenizer) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-Capacitron/train_capacitron_t2.py b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-Capacitron/train_capacitron_t2.py new file mode 100644 index 0000000..5c81016 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-Capacitron/train_capacitron_t2.py @@ -0,0 +1,138 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig, CapacitronVAEConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +data_path = "/srv/data/" + +# Using LJSpeech like dataset processing for the blizzard dataset +dataset_config = BaseDatasetConfig( + formatter="ljspeech", + meta_file_train="metadata.csv", + path=data_path, +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=11025, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +# Using the standard Capacitron config +capacitron_config = CapacitronVAEConfig(capacitron_VAE_loss_alpha=1.0, capacitron_capacity=50) + +config = Tacotron2Config( + run_name="Capacitron-Tacotron2", + audio=audio_config, + capacitron_vae=capacitron_config, + use_capacitron_vae=True, + batch_size=128, # Tune this to your gpu + max_audio_len=8 * 22050, # Tune this to your gpu + min_audio_len=1 * 22050, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=8, + precompute_num_workers=24, + run_eval=True, + test_delay_epochs=25, + ga_alpha=0.0, + r=2, + optimizer="CapacitronOptimizer", + optimizer_params={"RAdam": {"betas": [0.9, 0.998], "weight_decay": 1e-6}, "SGD": {"lr": 1e-5, "momentum": 0.9}}, + attention_type="dynamic_convolution", + grad_clip=0.0, # Important! We overwrite the standard grad_clip with capacitron_grad_clip + double_decoder_consistency=False, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phonemizer="espeak", + phoneme_cache_path=os.path.join(data_path, "phoneme_cache"), + stopnet_pos_weight=15, + print_step=25, + print_eval=True, + mixed_precision=False, + seq_len_norm=True, + output_path=output_path, + datasets=[dataset_config], + lr=1e-3, + lr_scheduler="StepwiseGradualLR", + lr_scheduler_params={ + "gradual_learning_rates": [ + [0, 1e-3], + [2e4, 5e-4], + [4e5, 3e-4], + [6e4, 1e-4], + [8e4, 5e-5], + ] + }, + scheduler_after_epoch=False, # scheduler doesn't work without this flag + # Need to experiment with these below for capacitron + loss_masking=False, + decoder_loss_alpha=1.0, + postnet_loss_alpha=1.0, + postnet_diff_spec_alpha=0.0, + decoder_diff_spec_alpha=0.0, + decoder_ssim_alpha=0.0, + postnet_ssim_alpha=0.0, +) + +ap = AudioProcessor(**config.audio.to_dict()) + +tokenizer, config = TTSTokenizer.init_from_config(config) + +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +model = Tacotron2(config, ap, tokenizer, speaker_manager=None) + +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) + +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DCA/train_tacotron_dca.py b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DCA/train_tacotron_dca.py new file mode 100644 index 0000000..f95c5e5 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DCA/train_tacotron_dca.py @@ -0,0 +1,120 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +# from TTS.tts.datasets.tokenizer import Tokenizer + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = Tacotron2Config( # This is the config that is saved for the future use + audio=audio_config, + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + ga_alpha=0.0, + decoder_loss_alpha=0.25, + postnet_loss_alpha=0.25, + postnet_diff_spec_alpha=0, + decoder_diff_spec_alpha=0, + decoder_ssim_alpha=0, + postnet_ssim_alpha=0, + r=2, + attention_type="dynamic_convolution", + double_decoder_consistency=False, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=True, + mixed_precision=False, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = Tacotron2(config, ap, tokenizer) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DDC/train_tacotron_ddc.py b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DDC/train_tacotron_ddc.py new file mode 100644 index 0000000..0b2cbcc --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/tacotron2-DDC/train_tacotron_ddc.py @@ -0,0 +1,113 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +# from TTS.tts.datasets.tokenizer import Tokenizer + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = Tacotron2Config( # This is the config that is saved for the future use + audio=audio_config, + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + r=6, + gradual_training=[[0, 6, 64], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]], + double_decoder_consistency=True, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=8, + print_step=25, + print_eval=True, + mixed_precision=False, + output_path=output_path, + datasets=[dataset_config], +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = Tacotron2(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/univnet/train.py b/components/Universal_TTS_Finetune/recipes/ljspeech/univnet/train.py new file mode 100644 index 0000000..81d2b88 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/univnet/train.py @@ -0,0 +1,45 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs import UnivnetConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = UnivnetConfig( + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/"), + output_path=output_path, +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/vits_tts/train_vits.py b/components/Universal_TTS_Finetune/recipes/ljspeech/vits_tts/train_vits.py new file mode 100644 index 0000000..fc38573 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/vits_tts/train_vits.py @@ -0,0 +1,97 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import Vits, VitsAudioConfig +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig( + formatter="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/") +) +audio_config = VitsAudioConfig( + sample_rate=22050, win_length=1024, hop_length=256, num_mels=80, mel_fmin=0, mel_fmax=None +) + +config = VitsConfig( + audio=audio_config, + run_name="vits_ljspeech", + batch_size=32, + eval_batch_size=16, + batch_group_size=5, + num_loader_workers=8, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + compute_input_seq_cache=True, + print_step=25, + print_eval=True, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], + cudnn_benchmark=False, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# config is updated with the default characters if not defined in the config. +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +try: + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) +except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(dataset_config, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + +# init model +model = Vits(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/wavegrad/train_wavegrad.py b/components/Universal_TTS_Finetune/recipes/ljspeech/wavegrad/train_wavegrad.py new file mode 100644 index 0000000..1abdf45 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/wavegrad/train_wavegrad.py @@ -0,0 +1,49 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs import WavegradConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.wavegrad import Wavegrad + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = WavegradConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + seq_len=6144, + pad_short=2000, + use_noise_augment=True, + eval_split_size=50, + print_step=50, + print_eval=True, + mixed_precision=False, + data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/"), + output_path=output_path, +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = Wavegrad(config) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/wavernn/train_wavernn.py b/components/Universal_TTS_Finetune/recipes/ljspeech/wavernn/train_wavernn.py new file mode 100644 index 0000000..640f509 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/wavernn/train_wavernn.py @@ -0,0 +1,51 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.vocoder.configs import WavernnConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.wavernn import Wavernn + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = WavernnConfig( + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=10000, + seq_len=1280, + pad_short=2000, + use_noise_augment=False, + eval_split_size=10, + print_step=25, + print_eval=True, + mixed_precision=False, + lr=1e-4, + grad_clip=4, + data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/"), + output_path=output_path, +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = Wavernn(config) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v1/train_gpt_xtts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v1/train_gpt_xtts.py new file mode 100644 index 0000000..d2130ef --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v1/train_gpt_xtts.py @@ -0,0 +1,200 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +try: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig, XttsAudioConfig +except ImportError: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig + from TTS.tts.configs.xtts_config import XttsAudioConfig +from TTS.utils.manage import ModelManager + +# Logging parameters +RUN_NAME = "GPT_XTTS_LJSpeech_FT" +PROJECT_NAME = "XTTS_trainer" +DASHBOARD_LOGGER = "tensorboard" +LOGGER_URI = None + +# Set here the path that the checkpoints will be saved. Default: ./run/training/ +OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "run", "training") + +# Training Parameters +OPTIMIZER_WD_ONLY_ON_WEIGHTS = True # for multi-gpu training please make it False +START_WITH_EVAL = True # if True it will star with evaluation +BATCH_SIZE = 3 # set here the batch size +GRAD_ACUMM_STEPS = 84 # set here the grad accumulation steps +# Note: we recommend that BATCH_SIZE * GRAD_ACUMM_STEPS need to be at least 252 for more efficient training. You can increase/decrease BATCH_SIZE but then set GRAD_ACUMM_STEPS accordingly. + +# Define here the dataset that you want to use for the fine-tuning on. +config_dataset = BaseDatasetConfig( + formatter="ljspeech", + dataset_name="ljspeech", + path="/raid/datasets/LJSpeech-1.1_24khz/", + meta_file_train="/raid/datasets/LJSpeech-1.1_24khz/metadata.csv", + language="en", +) + +# Add here the configs of the datasets +DATASETS_CONFIG_LIST = [config_dataset] + +# Define the path where XTTS v1.1.1 files will be downloaded +CHECKPOINTS_OUT_PATH = os.path.join(OUT_PATH, "XTTS_v1.1_original_model_files/") +os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True) + + +# DVAE files +DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/dvae.pth" +MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/mel_stats.pth" + +# Set the path to the downloaded files +DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, DVAE_CHECKPOINT_LINK.split("/")[-1]) +MEL_NORM_FILE = os.path.join(CHECKPOINTS_OUT_PATH, MEL_NORM_LINK.split("/")[-1]) + +# download DVAE files if needed +if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE): + print(" > Downloading DVAE files!") + ModelManager._download_model_files([MEL_NORM_LINK, DVAE_CHECKPOINT_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True) + + +# Download XTTS v1.1 checkpoint if needed +TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/vocab.json" +XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/model.pth" + +# XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning. +TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, TOKENIZER_FILE_LINK.split("/")[-1]) # vocab.json file +XTTS_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, XTTS_CHECKPOINT_LINK.split("/")[-1]) # model.pth file + +# download XTTS v1.1 files if needed +if not os.path.isfile(TOKENIZER_FILE) or not os.path.isfile(XTTS_CHECKPOINT): + print(" > Downloading XTTS v1.1 files!") + ModelManager._download_model_files( + [TOKENIZER_FILE_LINK, XTTS_CHECKPOINT_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True + ) + + +# Training sentences generations +SPEAKER_REFERENCE = [ + "./tests/data/ljspeech/wavs/LJ001-0002.wav" # speaker reference to be used in training test sentences +] +LANGUAGE = config_dataset.language + + +def main(): + # init args and config + model_args = GPTArgs( + max_conditioning_length=132300, # 6 secs + min_conditioning_length=66150, # 3 secs + debug_loading_failures=False, + max_wav_length=255995, # ~11.6 seconds + max_text_length=200, + mel_norm_file=MEL_NORM_FILE, + dvae_checkpoint=DVAE_CHECKPOINT, + # tokenizer_file="/raid/datasets/xtts_models/vocab.json", # vocab path of the model that you want to fine-tune + # xtts_checkpoint="https://huggingface.co/coqui/XTTS-v1/resolve/hifigan/model.pth", + xtts_checkpoint=XTTS_CHECKPOINT, # checkpoint path of the model that you want to fine-tune + tokenizer_file=TOKENIZER_FILE, + gpt_num_audio_tokens=8194, + gpt_start_audio_token=8192, + gpt_stop_audio_token=8193, + ) + # define audio config + audio_config = XttsAudioConfig(sample_rate=22050, dvae_sample_rate=22050, output_sample_rate=24000) + # training parameters config + config = GPTTrainerConfig( + epochs=1000, + output_path=OUT_PATH, + model_args=model_args, + run_name=RUN_NAME, + project_name=PROJECT_NAME, + run_description=""" + GPT XTTS training + """, + dashboard_logger=DASHBOARD_LOGGER, + logger_uri=LOGGER_URI, + audio=audio_config, + batch_size=BATCH_SIZE, + batch_group_size=48, + eval_batch_size=BATCH_SIZE, + num_loader_workers=8, + eval_split_max_size=256, + print_step=50, + plot_step=100, + log_model_step=1000, + save_step=10000, + save_n_checkpoints=1, + save_checkpoints=True, + # target_loss="loss", + print_eval=False, + # Optimizer values like tortoise, pytorch implementation with modifications to not apply WD to non-weight parameters. + optimizer="AdamW", + optimizer_wd_only_on_weights=OPTIMIZER_WD_ONLY_ON_WEIGHTS, + optimizer_params={"betas": [0.9, 0.96], "eps": 1e-8, "weight_decay": 1e-2}, + lr=5e-06, # learning rate + lr_scheduler="MultiStepLR", + # it was adjusted accordly for the new step scheme + lr_scheduler_params={"milestones": [50000 * 18, 150000 * 18, 300000 * 18], "gamma": 0.5, "last_epoch": -1}, + test_sentences=[ + { + "text": "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "speaker_wav": SPEAKER_REFERENCE, + "language": LANGUAGE, + }, + { + "text": "This cake is great. It's so delicious and moist.", + "speaker_wav": SPEAKER_REFERENCE, + "language": LANGUAGE, + }, + ], + ) + + # init the model from config + model = GPTTrainer.init_from_config(config) + + # load training samples + try: + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(DATASETS_CONFIG_LIST, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + + # init the trainer and 🚀 + trainer = Trainer( + TrainerArgs( + restore_path=None, # xtts checkpoint is restored via xtts_checkpoint key so no need of restore it using Trainer restore_path parameter + skip_train_epoch=False, + start_with_eval=START_WITH_EVAL, + grad_accum_steps=GRAD_ACUMM_STEPS, + ), + config, + output_path=OUT_PATH, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + ) + trainer.fit() + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v2/train_gpt_xtts.py b/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v2/train_gpt_xtts.py new file mode 100644 index 0000000..3614f59 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/ljspeech/xtts_v2/train_gpt_xtts.py @@ -0,0 +1,200 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +try: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig, XttsAudioConfig +except ImportError: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig + from TTS.tts.configs.xtts_config import XttsAudioConfig +from TTS.utils.manage import ModelManager + +# Logging parameters +RUN_NAME = "GPT_XTTS_v2.0_LJSpeech_FT" +PROJECT_NAME = "XTTS_trainer" +DASHBOARD_LOGGER = "tensorboard" +LOGGER_URI = None + +# Set here the path that the checkpoints will be saved. Default: ./run/training/ +OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "run", "training") + +# Training Parameters +OPTIMIZER_WD_ONLY_ON_WEIGHTS = True # for multi-gpu training please make it False +START_WITH_EVAL = True # if True it will star with evaluation +BATCH_SIZE = 3 # set here the batch size +GRAD_ACUMM_STEPS = 84 # set here the grad accumulation steps +# Note: we recommend that BATCH_SIZE * GRAD_ACUMM_STEPS need to be at least 252 for more efficient training. You can increase/decrease BATCH_SIZE but then set GRAD_ACUMM_STEPS accordingly. + +# Define here the dataset that you want to use for the fine-tuning on. +config_dataset = BaseDatasetConfig( + formatter="ljspeech", + dataset_name="ljspeech", + path="/raid/datasets/LJSpeech-1.1_24khz/", + meta_file_train="/raid/datasets/LJSpeech-1.1_24khz/metadata.csv", + language="en", +) + +# Add here the configs of the datasets +DATASETS_CONFIG_LIST = [config_dataset] + +# Define the path where XTTS v2.0.1 files will be downloaded +CHECKPOINTS_OUT_PATH = os.path.join(OUT_PATH, "XTTS_v2.0_original_model_files/") +os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True) + + +# DVAE files +DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/dvae.pth" +MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/mel_stats.pth" + +# Set the path to the downloaded files +DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(DVAE_CHECKPOINT_LINK)) +MEL_NORM_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(MEL_NORM_LINK)) + +# download DVAE files if needed +if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE): + print(" > Downloading DVAE files!") + ModelManager._download_model_files([MEL_NORM_LINK, DVAE_CHECKPOINT_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True) + + +# Download XTTS v2.0 checkpoint if needed +TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/vocab.json" +XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/model.pth" + +# XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning. +TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(TOKENIZER_FILE_LINK)) # vocab.json file +XTTS_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(XTTS_CHECKPOINT_LINK)) # model.pth file + +# download XTTS v2.0 files if needed +if not os.path.isfile(TOKENIZER_FILE) or not os.path.isfile(XTTS_CHECKPOINT): + print(" > Downloading XTTS v2.0 files!") + ModelManager._download_model_files( + [TOKENIZER_FILE_LINK, XTTS_CHECKPOINT_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True + ) + + +# Training sentences generations +SPEAKER_REFERENCE = [ + "./tests/data/ljspeech/wavs/LJ001-0002.wav" # speaker reference to be used in training test sentences +] +LANGUAGE = config_dataset.language + + +def main(): + # init args and config + model_args = GPTArgs( + max_conditioning_length=132300, # 6 secs + min_conditioning_length=66150, # 3 secs + debug_loading_failures=False, + max_wav_length=255995, # ~11.6 seconds + max_text_length=200, + mel_norm_file=MEL_NORM_FILE, + dvae_checkpoint=DVAE_CHECKPOINT, + xtts_checkpoint=XTTS_CHECKPOINT, # checkpoint path of the model that you want to fine-tune + tokenizer_file=TOKENIZER_FILE, + gpt_num_audio_tokens=1026, + gpt_start_audio_token=1024, + gpt_stop_audio_token=1025, + gpt_use_masking_gt_prompt_approach=True, + gpt_use_perceiver_resampler=True, + ) + # define audio config + audio_config = XttsAudioConfig(sample_rate=22050, dvae_sample_rate=22050, output_sample_rate=24000) + # training parameters config + config = GPTTrainerConfig( + epochs=1000, + output_path=OUT_PATH, + model_args=model_args, + run_name=RUN_NAME, + project_name=PROJECT_NAME, + run_description=""" + GPT XTTS training + """, + dashboard_logger=DASHBOARD_LOGGER, + logger_uri=LOGGER_URI, + audio=audio_config, + batch_size=BATCH_SIZE, + batch_group_size=48, + eval_batch_size=BATCH_SIZE, + num_loader_workers=8, + eval_split_max_size=256, + print_step=50, + plot_step=100, + log_model_step=1000, + save_step=10000, + save_n_checkpoints=1, + save_checkpoints=True, + # target_loss="loss", + print_eval=False, + # Optimizer values like tortoise, pytorch implementation with modifications to not apply WD to non-weight parameters. + optimizer="AdamW", + optimizer_wd_only_on_weights=OPTIMIZER_WD_ONLY_ON_WEIGHTS, + optimizer_params={"betas": [0.9, 0.96], "eps": 1e-8, "weight_decay": 1e-2}, + lr=5e-06, # learning rate + lr_scheduler="MultiStepLR", + # it was adjusted accordly for the new step scheme + lr_scheduler_params={"milestones": [50000 * 18, 150000 * 18, 300000 * 18], "gamma": 0.5, "last_epoch": -1}, + test_sentences=[ + { + "text": "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "speaker_wav": SPEAKER_REFERENCE, + "language": LANGUAGE, + }, + { + "text": "This cake is great. It's so delicious and moist.", + "speaker_wav": SPEAKER_REFERENCE, + "language": LANGUAGE, + }, + ], + ) + + # init the model from config + model = GPTTrainer.init_from_config(config) + + # load training samples + try: + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(DATASETS_CONFIG_LIST, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + + # init the trainer and 🚀 + trainer = Trainer( + TrainerArgs( + restore_path=None, # xtts checkpoint is restored via xtts_checkpoint key so no need of restore it using Trainer restore_path parameter + skip_train_epoch=False, + start_with_eval=START_WITH_EVAL, + grad_accum_steps=GRAD_ACUMM_STEPS, + ), + config, + output_path=OUT_PATH, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + ) + trainer.fit() + + +if __name__ == "__main__": + main() diff --git a/components/Universal_TTS_Finetune/recipes/multilingual/cml_yourtts/train_yourtts.py b/components/Universal_TTS_Finetune/recipes/multilingual/cml_yourtts/train_yourtts.py new file mode 100644 index 0000000..02f901f --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/multilingual/cml_yourtts/train_yourtts.py @@ -0,0 +1,336 @@ +import os + +import torch +from trainer import Trainer, TrainerArgs + +from TTS.bin.compute_embeddings import compute_embeddings +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import CharactersConfig, Vits, VitsArgs, VitsAudioConfig +from TTS.utils.downloaders import download_libri_tts + +torch.set_num_threads(24) + +# pylint: disable=W0105 +""" + This recipe replicates the first experiment proposed in the CML-TTS paper (https://arxiv.org/abs/2306.10097). It uses the YourTTS model. + YourTTS model is based on the VITS model however it uses external speaker embeddings extracted from a pre-trained speaker encoder and has small architecture changes. +""" +CURRENT_PATH = os.path.dirname(os.path.abspath(__file__)) + +# Name of the run for the Trainer +RUN_NAME = "YourTTS-CML-TTS" + +# Path where you want to save the models outputs (configs, checkpoints and tensorboard logs) +OUT_PATH = os.path.dirname(os.path.abspath(__file__)) # "/raid/coqui/Checkpoints/original-YourTTS/" + +# If you want to do transfer learning and speedup your training you can set here the path to the CML-TTS available checkpoint that cam be downloaded here: https://drive.google.com/u/2/uc?id=1yDCSJ1pFZQTHhL09GMbOrdjcPULApa0p +RESTORE_PATH = "/raid/edresson/CML_YourTTS/checkpoints_yourtts_cml_tts_dataset/best_model.pth" # Download the checkpoint here: https://drive.google.com/u/2/uc?id=1yDCSJ1pFZQTHhL09GMbOrdjcPULApa0p + +# This paramter is useful to debug, it skips the training epochs and just do the evaluation and produce the test sentences +SKIP_TRAIN_EPOCH = False + +# Set here the batch size to be used in training and evaluation +BATCH_SIZE = 32 + +# Training Sampling rate and the target sampling rate for resampling the downloaded dataset (Note: If you change this you might need to redownload the dataset !!) +# Note: If you add new datasets, please make sure that the dataset sampling rate and this parameter are matching, otherwise resample your audios +SAMPLE_RATE = 24000 + +# Max audio length in seconds to be used in training (every audio bigger than it will be ignored) +MAX_AUDIO_LEN_IN_SECONDS = float("inf") + +### Download CML-TTS dataset +# You need to download the dataset for all languages manually and extract it to a path and then set the CML_DATASET_PATH to this path: https://github.com/freds0/CML-TTS-Dataset#download +CML_DATASET_PATH = "./datasets/CML-TTS-Dataset/" + + +### Download LibriTTS dataset +# it will automatic download the dataset, if you have problems you can comment it and manually donwload and extract it ! Download link: https://www.openslr.org/resources/60/train-clean-360.tar.gz +LIBRITTS_DOWNLOAD_PATH = "./datasets/LibriTTS/" +# Check if LibriTTS dataset is not already downloaded, if not download it +if not os.path.exists(LIBRITTS_DOWNLOAD_PATH): + print(">>> Downloading LibriTTS dataset:") + download_libri_tts(LIBRITTS_DOWNLOAD_PATH, subset="libri-tts-clean-360") + +# init LibriTTS configs +libritts_config = BaseDatasetConfig( + formatter="libri_tts", + dataset_name="libri_tts", + meta_file_train="", + meta_file_val="", + path=os.path.join(LIBRITTS_DOWNLOAD_PATH, "train-clean-360/"), + language="en", +) + +# init CML-TTS configs +pt_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_portuguese_v0.1/"), + language="pt-br", +) + +pl_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_polish_v0.1/"), + language="pl", +) + +it_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_italian_v0.1/"), + language="it", +) + +fr_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_french_v0.1/"), + language="fr", +) + +du_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_dutch_v0.1/"), + language="du", +) + +ge_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_german_v0.1/"), + language="ge", +) + +sp_config = BaseDatasetConfig( + formatter="cml_tts", + dataset_name="cml_tts", + meta_file_train="train.csv", + meta_file_val="", + path=os.path.join(CML_DATASET_PATH, "cml_tts_dataset_spanish_v0.1/"), + language="sp", +) + +# Add here all datasets configs Note: If you want to add new datasets, just add them here and it will automatically compute the speaker embeddings (d-vectors) for this new dataset :) +DATASETS_CONFIG_LIST = [libritts_config, pt_config, pl_config, it_config, fr_config, du_config, ge_config, sp_config] + +### Extract speaker embeddings +SPEAKER_ENCODER_CHECKPOINT_PATH = ( + "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/model_se.pth.tar" +) +SPEAKER_ENCODER_CONFIG_PATH = "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/config_se.json" + +D_VECTOR_FILES = [] # List of speaker embeddings/d-vectors to be used during the training + +# Iterates all the dataset configs checking if the speakers embeddings are already computated, if not compute it +for dataset_conf in DATASETS_CONFIG_LIST: + # Check if the embeddings weren't already computed, if not compute it + embeddings_file = os.path.join(dataset_conf.path, "speakers.pth") + if not os.path.isfile(embeddings_file): + print(f">>> Computing the speaker embeddings for the {dataset_conf.dataset_name} dataset") + compute_embeddings( + SPEAKER_ENCODER_CHECKPOINT_PATH, + SPEAKER_ENCODER_CONFIG_PATH, + embeddings_file, + old_speakers_file=None, + config_dataset_path=None, + formatter_name=dataset_conf.formatter, + dataset_name=dataset_conf.dataset_name, + dataset_path=dataset_conf.path, + meta_file_train=dataset_conf.meta_file_train, + meta_file_val=dataset_conf.meta_file_val, + disable_cuda=False, + no_eval=False, + ) + D_VECTOR_FILES.append(embeddings_file) + + +# Audio config used in training. +audio_config = VitsAudioConfig( + sample_rate=SAMPLE_RATE, + hop_length=256, + win_length=1024, + fft_size=1024, + mel_fmin=0.0, + mel_fmax=None, + num_mels=80, +) + +# Init VITSArgs setting the arguments that are needed for the YourTTS model +model_args = VitsArgs( + spec_segment_size=62, + hidden_channels=192, + hidden_channels_ffn_text_encoder=768, + num_heads_text_encoder=2, + num_layers_text_encoder=10, + kernel_size_text_encoder=3, + dropout_p_text_encoder=0.1, + d_vector_file=D_VECTOR_FILES, + use_d_vector_file=True, + d_vector_dim=512, + speaker_encoder_model_path=SPEAKER_ENCODER_CHECKPOINT_PATH, + speaker_encoder_config_path=SPEAKER_ENCODER_CONFIG_PATH, + resblock_type_decoder="2", # In the paper, we accidentally trained the YourTTS using ResNet blocks type 2, if you like you can use the ResNet blocks type 1 like the VITS model + # Useful parameters to enable the Speaker Consistency Loss (SCL) described in the paper + use_speaker_encoder_as_loss=False, + # Useful parameters to enable multilingual training + use_language_embedding=True, + embedded_language_dim=4, +) + +# General training config, here you can change the batch size and others useful parameters +config = VitsConfig( + output_path=OUT_PATH, + model_args=model_args, + run_name=RUN_NAME, + project_name="YourTTS", + run_description=""" + - YourTTS trained using CML-TTS and LibriTTS datasets + """, + dashboard_logger="tensorboard", + logger_uri=None, + audio=audio_config, + batch_size=BATCH_SIZE, + batch_group_size=48, + eval_batch_size=BATCH_SIZE, + num_loader_workers=8, + eval_split_max_size=256, + print_step=50, + plot_step=100, + log_model_step=1000, + save_step=5000, + save_n_checkpoints=2, + save_checkpoints=True, + target_loss="loss_1", + print_eval=False, + use_phonemes=False, + phonemizer="espeak", + phoneme_language="en", + compute_input_seq_cache=True, + add_blank=True, + text_cleaner="multilingual_cleaners", + characters=CharactersConfig( + characters_class="TTS.tts.models.vits.VitsCharacters", + pad="_", + eos="&", + bos="*", + blank=None, + characters="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00a1\u00a3\u00b7\u00b8\u00c0\u00c1\u00c2\u00c3\u00c4\u00c5\u00c7\u00c8\u00c9\u00ca\u00cb\u00cc\u00cd\u00ce\u00cf\u00d1\u00d2\u00d3\u00d4\u00d5\u00d6\u00d9\u00da\u00db\u00dc\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e5\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u0101\u0104\u0105\u0106\u0107\u010b\u0119\u0141\u0142\u0143\u0144\u0152\u0153\u015a\u015b\u0161\u0178\u0179\u017a\u017b\u017c\u020e\u04e7\u05c2\u1b20", + punctuations="\u2014!'(),-.:;?\u00bf ", + phonemes="iy\u0268\u0289\u026fu\u026a\u028f\u028ae\u00f8\u0258\u0259\u0275\u0264o\u025b\u0153\u025c\u025e\u028c\u0254\u00e6\u0250a\u0276\u0251\u0252\u1d7b\u0298\u0253\u01c0\u0257\u01c3\u0284\u01c2\u0260\u01c1\u029bpbtd\u0288\u0256c\u025fk\u0261q\u0262\u0294\u0274\u014b\u0272\u0273n\u0271m\u0299r\u0280\u2c71\u027e\u027d\u0278\u03b2fv\u03b8\u00f0sz\u0283\u0292\u0282\u0290\u00e7\u029dx\u0263\u03c7\u0281\u0127\u0295h\u0266\u026c\u026e\u028b\u0279\u027bj\u0270l\u026d\u028e\u029f\u02c8\u02cc\u02d0\u02d1\u028dw\u0265\u029c\u02a2\u02a1\u0255\u0291\u027a\u0267\u025a\u02de\u026b'\u0303' ", + is_unique=True, + is_sorted=True, + ), + phoneme_cache_path=None, + precompute_num_workers=12, + start_by_longest=True, + datasets=DATASETS_CONFIG_LIST, + cudnn_benchmark=False, + max_audio_len=SAMPLE_RATE * MAX_AUDIO_LEN_IN_SECONDS, + mixed_precision=False, + test_sentences=[ + ["Voc\u00ea ter\u00e1 a vista do topo da montanha que voc\u00ea escalar.", "9351", None, "pt-br"], + ["Quando voc\u00ea n\u00e3o corre nenhum risco, voc\u00ea arrisca tudo.", "12249", None, "pt-br"], + [ + "S\u00e3o necess\u00e1rios muitos anos de trabalho para ter sucesso da noite para o dia.", + "2961", + None, + "pt-br", + ], + ["You'll have the view of the top of the mountain that you climb.", "LTTS_6574", None, "en"], + ["When you don\u2019t take any risks, you risk everything.", "LTTS_6206", None, "en"], + ["Are necessary too many years of work to succeed overnight.", "LTTS_5717", None, "en"], + ["Je hebt uitzicht op de top van de berg die je beklimt.", "960", None, "du"], + ["Als je geen risico neemt, riskeer je alles.", "2450", None, "du"], + ["Zijn te veel jaren werk nodig om van de ene op de andere dag te slagen.", "10984", None, "du"], + ["Vous aurez la vue sur le sommet de la montagne que vous gravirez.", "6381", None, "fr"], + ["Quand tu ne prends aucun risque, tu risques tout.", "2825", None, "fr"], + [ + "Sont n\u00e9cessaires trop d'ann\u00e9es de travail pour r\u00e9ussir du jour au lendemain.", + "1844", + None, + "fr", + ], + ["Sie haben die Aussicht auf die Spitze des Berges, den Sie erklimmen.", "2314", None, "ge"], + ["Wer nichts riskiert, riskiert alles.", "7483", None, "ge"], + ["Es sind zu viele Jahre Arbeit notwendig, um \u00fcber Nacht erfolgreich zu sein.", "12461", None, "ge"], + ["Avrai la vista della cima della montagna che sali.", "4998", None, "it"], + ["Quando non corri alcun rischio, rischi tutto.", "6744", None, "it"], + ["Are necessary too many years of work to succeed overnight.", "1157", None, "it"], + [ + "B\u0119dziesz mie\u0107 widok na szczyt g\u00f3ry, na kt\u00f3r\u0105 si\u0119 wspinasz.", + "7014", + None, + "pl", + ], + ["Kiedy nie podejmujesz \u017cadnego ryzyka, ryzykujesz wszystko.", "3492", None, "pl"], + [ + "Potrzebne s\u0105 zbyt wiele lat pracy, aby odnie\u015b\u0107 sukces z dnia na dzie\u0144.", + "1890", + None, + "pl", + ], + ["Tendr\u00e1s la vista de la cima de la monta\u00f1a que subes", "101", None, "sp"], + ["Cuando no te arriesgas, lo arriesgas todo.", "5922", None, "sp"], + [ + "Son necesarios demasiados a\u00f1os de trabajo para triunfar de la noche a la ma\u00f1ana.", + "10246", + None, + "sp", + ], + ], + # Enable the weighted sampler + use_weighted_sampler=True, + # Ensures that all speakers are seen in the training batch equally no matter how many samples each speaker has + # weighted_sampler_attrs={"language": 1.0, "speaker_name": 1.0}, + weighted_sampler_attrs={"language": 1.0}, + weighted_sampler_multipliers={ + # "speaker_name": { + # you can force the batching scheme to give a higher weight to a certain speaker and then this speaker will appears more frequently on the batch. + # It will speedup the speaker adaptation process. Considering the CML train dataset and "new_speaker" as the speaker name of the speaker that you want to adapt. + # The line above will make the balancer consider the "new_speaker" as 106 speakers so 1/4 of the number of speakers present on CML dataset. + # 'new_speaker': 106, # (CML tot. train speaker)/4 = (424/4) = 106 + # } + }, + # It defines the Speaker Consistency Loss (SCL) α to 9 like the YourTTS paper + speaker_encoder_loss_alpha=9.0, +) + +# Load all the datasets samples and split traning and evaluation sets +train_samples, eval_samples = load_tts_samples( + config.datasets, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# Init the model +model = Vits.init_from_config(config) + +# Init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(restore_path=RESTORE_PATH, skip_train_epoch=SKIP_TRAIN_EPOCH), + config, + output_path=OUT_PATH, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts.py b/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts.py new file mode 100644 index 0000000..89119aa --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts.py @@ -0,0 +1,129 @@ +import os +from glob import glob + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import CharactersConfig, Vits, VitsArgs, VitsAudioConfig +from TTS.tts.utils.languages import LanguageManager +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) + +mailabs_path = "/home/julian/workspace/mailabs/**" +dataset_paths = glob(mailabs_path) +dataset_config = [ + BaseDatasetConfig(formatter="mailabs", meta_file_train=None, path=path, language=path.split("/")[-1]) + for path in dataset_paths +] + +audio_config = VitsAudioConfig( + sample_rate=16000, + win_length=1024, + hop_length=256, + num_mels=80, + mel_fmin=0, + mel_fmax=None, +) + +vitsArgs = VitsArgs( + use_language_embedding=True, + embedded_language_dim=4, + use_speaker_embedding=True, + use_sdp=False, +) + +config = VitsConfig( + model_args=vitsArgs, + audio=audio_config, + run_name="vits_vctk", + use_speaker_embedding=True, + batch_size=32, + eval_batch_size=16, + batch_group_size=0, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="multilingual_cleaners", + use_phonemes=False, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + compute_input_seq_cache=True, + print_step=25, + use_language_weighted_sampler=True, + print_eval=False, + mixed_precision=False, + min_audio_len=32 * 256 * 4, + max_audio_len=160000, + output_path=output_path, + datasets=dataset_config, + characters=CharactersConfig( + characters_class="TTS.tts.models.vits.VitsCharacters", + pad="", + eos="", + bos="", + blank="", + characters="!¡'(),-.:;¿?abcdefghijklmnopqrstuvwxyzµßàáâäåæçèéêëìíîïñòóôöùúûüąćęłńœśşźżƒабвгдежзийклмнопрстуфхцчшщъыьэюяёєіїґӧ «°±µ»$%&‘’‚“`”„", + punctuations="!¡'(),-.:;¿? ", + phonemes=None, + ), + test_sentences=[ + [ + "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "mary_ann", + None, + "en_US", + ], + [ + "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", + "ezwa", + None, + "fr_FR", + ], + ["Ich finde, dieses Startup ist wirklich unglaublich.", "eva_k", None, "de_DE"], + ["Я думаю, что этот стартап действительно удивительный.", "oblomov", None, "ru_RU"], + ], +) + +# force the convertion of the custom characters to a config attribute +config.from_dict(config.to_dict()) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +language_manager = LanguageManager(config=config) +config.model_args.num_languages = language_manager.num_languages + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# config is updated with the default characters if not defined in the config. +tokenizer, config = TTSTokenizer.init_from_config(config) + +# init model +model = Vits(config, ap, tokenizer, speaker_manager, language_manager) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts_phonemes.py b/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts_phonemes.py new file mode 100644 index 0000000..24e9e51 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/multilingual/vits_tts/train_vits_tts_phonemes.py @@ -0,0 +1,126 @@ +import os +from glob import glob + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import Vits, VitsArgs, VitsAudioConfig +from TTS.tts.utils.languages import LanguageManager +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = "/media/julian/Workdisk/train" + +mailabs_path = "/home/julian/workspace/mailabs/**" +dataset_paths = glob(mailabs_path) +dataset_config = [ + BaseDatasetConfig( + formatter="mailabs", + meta_file_train=None, + path=path, + language=path.split("/")[-1], # language code is the folder name + ) + for path in dataset_paths +] + +audio_config = VitsAudioConfig( + sample_rate=16000, + win_length=1024, + hop_length=256, + num_mels=80, + mel_fmin=0, + mel_fmax=None, +) + +vitsArgs = VitsArgs( + use_language_embedding=True, + embedded_language_dim=4, + use_speaker_embedding=True, + use_sdp=False, +) + +config = VitsConfig( + model_args=vitsArgs, + audio=audio_config, + run_name="vits_vctk", + use_speaker_embedding=True, + batch_size=32, + eval_batch_size=16, + batch_group_size=0, + num_loader_workers=12, + num_eval_loader_workers=12, + precompute_num_workers=12, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="multilingual_cleaners", + use_phonemes=True, + phoneme_language=None, + phonemizer="multi_phonemizer", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + compute_input_seq_cache=True, + print_step=25, + use_language_weighted_sampler=True, + print_eval=False, + mixed_precision=False, + min_audio_len=audio_config.sample_rate, + max_audio_len=audio_config.sample_rate * 10, + output_path=output_path, + datasets=dataset_config, + test_sentences=[ + [ + "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "mary_ann", + None, + "en-us", + ], + [ + "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", + "ezwa", + None, + "fr-fr", + ], + ["Ich finde, dieses Startup ist wirklich unglaublich.", "eva_k", None, "de-de"], + ["Я думаю, что этот стартап действительно удивительный.", "nikolaev", None, "ru"], + ], +) + +# force the convertion of the custom characters to a config attribute +config.from_dict(config.to_dict()) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +language_manager = LanguageManager(config=config) +config.model_args.num_languages = language_manager.num_languages + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# config is updated with the default characters if not defined in the config. +tokenizer, config = TTSTokenizer.init_from_config(config) + +# init model +model = Vits(config, ap, tokenizer, speaker_manager, language_manager) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/README.md b/components/Universal_TTS_Finetune/recipes/thorsten_DE/README.md new file mode 100644 index 0000000..3ef0dba --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/README.md @@ -0,0 +1,15 @@ +# 🐸💬 TTS Thorsten Recipes + +For running the recipes you need the [Thorsten-Voice](https://github.com/thorstenMueller/Thorsten-Voice) dataset. + +You can download it manually from [the official website](https://www.thorsten-voice.de/) or use ```download_thorsten_de.sh``` alternatively running any of the **train_modelX.py**scripts will download the dataset if not already present. + +Then, go to your desired model folder and run the training. + + Running Python files. (Choose the desired GPU ID for your run and set ```CUDA_VISIBLE_DEVICES```) + ```terminal + CUDA_VISIBLE_DEVICES="0" python train_modelX.py + ``` + +💡 Note that these runs are just templates to help you start training your first model. They are not optimized for the best +result. Double-check the configurations and feel free to share your experiments to find better parameters together 💪. diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/align_tts/train_aligntts.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/align_tts/train_aligntts.py new file mode 100644 index 0000000..4236394 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/align_tts/train_aligntts.py @@ -0,0 +1,84 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.align_tts_config import AlignTTSConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.align_tts import AlignTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de + +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="thorsten", meta_file_train="metadata.csv", path=os.path.join(output_path, "../thorsten-de/") +) + +# download dataset if not already present +if not os.path.exists(dataset_config.path): + print("Downloading dataset") + download_thorsten_de(os.path.split(os.path.abspath(dataset_config.path))[0]) + +config = AlignTTSConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="multilingual_phoneme_cleaners", + use_phonemes=False, + phoneme_language="de", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=True, + mixed_precision=False, + test_sentences=[ + "Es hat mich viel Zeit gekostet ein Stimme zu entwickeln, jetzt wo ich sie habe werde ich nicht mehr schweigen.", + "Sei eine Stimme, kein Echo.", + "Es tut mir Leid David. Das kann ich leider nicht machen.", + "Dieser Kuchen ist großartig. Er ist so lecker und feucht.", + "Vor dem 22. November 1963.", + ], + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init model +model = AlignTTS(config, ap, tokenizer) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/download_thorsten_DE.sh b/components/Universal_TTS_Finetune/recipes/thorsten_DE/download_thorsten_DE.sh new file mode 100644 index 0000000..27809ce --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/download_thorsten_DE.sh @@ -0,0 +1,21 @@ +# create venv +python3 -m venv env +source .env/bin/activate +pip install pip --upgrade + +# download Thorsten_DE dataset +pip install gdown +gdown --id 1yKJM1LAOQpRVojKunD9r8WN_p5KzBxjc -O dataset.tgz +tar -xzf dataset.tgz + +# create train-val splits +shuf LJSpeech-1.1/metadata.csv > LJSpeech-1.1/metadata_shuf.csv +head -n 20668 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_train.csv +tail -n 2000 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_val.csv + +# rename dataset and remove archive +mv LJSpeech-1.1 thorsten-de +rm dataset.tgz + +# destry venv +rm -rf env diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/glow_tts/train_glowtts.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/glow_tts/train_glowtts.py new file mode 100644 index 0000000..f7f4a18 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/glow_tts/train_glowtts.py @@ -0,0 +1,97 @@ +import os + +# Trainer: Where the ✨️ happens. +# TrainingArgs: Defines the set of arguments of the Trainer. +from trainer import Trainer, TrainerArgs + +# GlowTTSConfig: all model related values for training, validating and testing. +from TTS.tts.configs.glow_tts_config import GlowTTSConfig + +# BaseDatasetConfig: defines name, formatter and path of the dataset. +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.glow_tts import GlowTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de + +# we use the same path as this script as our training folder. +output_path = os.path.dirname(os.path.abspath(__file__)) + +# DEFINE DATASET CONFIG +# Set LJSpeech as our target dataset and define its path. +# You can also use a simple Dict to define the dataset and pass it to your custom formatter. +dataset_config = BaseDatasetConfig( + formatter="thorsten", meta_file_train="metadata.csv", path=os.path.join(output_path, "../thorsten-de/") +) + +# download dataset if not already present +if not os.path.exists(dataset_config.path): + print("Downloading dataset") + download_thorsten_de(os.path.split(os.path.abspath(dataset_config.path))[0]) + +# INITIALIZE THE TRAINING CONFIGURATION +# Configure the model. Every config class inherits the BaseTTSConfig. +config = GlowTTSConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="multilingual_phoneme_cleaners", + use_phonemes=True, + phoneme_language="de", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=False, + mixed_precision=True, + test_sentences=[ + "Es hat mich viel Zeit gekostet ein Stimme zu entwickeln, jetzt wo ich sie habe werde ich nicht mehr schweigen.", + "Sei eine Stimme, kein Echo.", + "Es tut mir Leid David. Das kann ich leider nicht machen.", + "Dieser Kuchen ist großartig. Er ist so lecker und feucht.", + "Vor dem 22. November 1963.", + ], + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = GlowTTS(config, ap, tokenizer, speaker_manager=None) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/hifigan/train_hifigan.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/hifigan/train_hifigan.py new file mode 100644 index 0000000..b476780 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/hifigan/train_hifigan.py @@ -0,0 +1,53 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de +from TTS.vocoder.configs import HifiganConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) + +config = HifiganConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=5, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../thorsten-de/wavs/"), + output_path=output_path, +) + +# download dataset if not already present +if not os.path.exists(config.data_path): + print("Downloading dataset") + download_path = os.path.abspath(os.path.join(os.path.abspath(config.data_path), "../../")) + download_thorsten_de(download_path) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/multiband_melgan/train_multiband_melgan.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/multiband_melgan/train_multiband_melgan.py new file mode 100644 index 0000000..2951b14 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/multiband_melgan/train_multiband_melgan.py @@ -0,0 +1,53 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de +from TTS.vocoder.configs import MultibandMelganConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) + +config = MultibandMelganConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=5, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../thorsten-de/wavs/"), + output_path=output_path, +) + +# download dataset if not already present +if not os.path.exists(config.data_path): + print("Downloading dataset") + download_path = os.path.abspath(os.path.join(os.path.abspath(config.data_path), "../../")) + download_thorsten_de(download_path) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/speedy_speech/train_speedy_speech.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/speedy_speech/train_speedy_speech.py new file mode 100644 index 0000000..024dcaa --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/speedy_speech/train_speedy_speech.py @@ -0,0 +1,101 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.speedy_speech_config import SpeedySpeechConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig( + formatter="thorsten", meta_file_train="metadata.csv", path=os.path.join(output_path, "../thorsten-de/") +) + +# download dataset if not already present +if not os.path.exists(dataset_config.path): + print("Downloading dataset") + download_thorsten_de(os.path.split(os.path.abspath(dataset_config.path))[0]) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = SpeedySpeechConfig( + run_name="speedy_speech_thorsten-de", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + min_audio_len=11050, # need to up min_audio_len to avois speedy speech error + text_cleaner="multilingual_phoneme_cleaners", + use_phonemes=True, + phoneme_language="de", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=4, + print_step=50, + print_eval=False, + mixed_precision=False, + test_sentences=[ + "Es hat mich viel Zeit gekostet ein Stimme zu entwickeln, jetzt wo ich sie habe werde ich nicht mehr schweigen.", + "Sei eine Stimme, kein Echo.", + "Es tut mir Leid David. Das kann ich leider nicht machen.", + "Dieser Kuchen ist großartig. Er ist so lecker und feucht.", + "Vor dem 22. November 1963.", + ], + max_seq_len=500000, + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init model +model = ForwardTTS(config, ap, tokenizer) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/tacotron2-DDC/train_tacotron_ddc.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/tacotron2-DDC/train_tacotron_ddc.py new file mode 100644 index 0000000..a46e27e --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/tacotron2-DDC/train_tacotron_ddc.py @@ -0,0 +1,108 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de + +# from TTS.tts.datasets.tokenizer import Tokenizer +output_path = os.path.dirname(os.path.abspath(__file__)) + +# init configs +dataset_config = BaseDatasetConfig( + formatter="thorsten", meta_file_train="metadata.csv", path=os.path.join(output_path, "../thorsten-de/") +) + +# download dataset if not already present +if not os.path.exists(dataset_config.path): + print("Downloading dataset") + download_thorsten_de(os.path.split(os.path.abspath(dataset_config.path))[0]) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=60.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = Tacotron2Config( # This is the config that is saved for the future use + audio=audio_config, + batch_size=40, # BS of 40 and max length of 10s will use about 20GB of GPU memory + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + r=6, + gradual_training=[[0, 6, 64], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]], + double_decoder_consistency=True, + epochs=1000, + text_cleaner="multilingual_phoneme_cleaners", + use_phonemes=True, + phoneme_language="de", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + precompute_num_workers=8, + print_step=25, + print_eval=True, + mixed_precision=False, + test_sentences=[ + "Es hat mich viel Zeit gekostet ein Stimme zu entwickeln, jetzt wo ich sie habe werde ich nicht mehr schweigen.", + "Sei eine Stimme, kein Echo.", + "Es tut mir Leid David. Das kann ich leider nicht machen.", + "Dieser Kuchen ist großartig. Er ist so lecker und feucht.", + "Vor dem 22. November 1963.", + ], + # max audio length of 10 seconds, feel free to increase if you got more than 20GB GPU memory + max_audio_len=22050 * 10, + output_path=output_path, + datasets=[dataset_config], +) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# INITIALIZE THE MODEL +# Models take a config object and a speaker manager as input +# Config defines the details of the model like the number of layers, the size of the embedding, etc. +# Speaker manager is used by multi-speaker models. +model = Tacotron2(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/univnet/train_univnet.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/univnet/train_univnet.py new file mode 100644 index 0000000..7d82093 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/univnet/train_univnet.py @@ -0,0 +1,52 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de +from TTS.vocoder.configs import UnivnetConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.gan import GAN + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = UnivnetConfig( + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + seq_len=8192, + pad_short=2000, + use_noise_augment=True, + eval_split_size=10, + print_step=25, + print_eval=False, + mixed_precision=False, + lr_gen=1e-4, + lr_disc=1e-4, + data_path=os.path.join(output_path, "../thorsten-de/wavs/"), + output_path=output_path, +) + +# download dataset if not already present +if not os.path.exists(config.data_path): + print("Downloading dataset") + download_path = os.path.abspath(os.path.join(os.path.abspath(config.data_path), "../../")) + download_thorsten_de(download_path) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = GAN(config, ap) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/vits_tts/train_vits.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/vits_tts/train_vits.py new file mode 100644 index 0000000..4b773c3 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/vits_tts/train_vits.py @@ -0,0 +1,96 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import Vits, VitsAudioConfig +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig( + formatter="thorsten", meta_file_train="metadata.csv", path=os.path.join(output_path, "../thorsten-de/") +) + +# download dataset if not already present +if not os.path.exists(dataset_config.path): + print("Downloading dataset") + download_thorsten_de(os.path.split(os.path.abspath(dataset_config.path))[0]) + +audio_config = VitsAudioConfig( + sample_rate=22050, + win_length=1024, + hop_length=256, + num_mels=80, + mel_fmin=0, + mel_fmax=None, +) + +config = VitsConfig( + audio=audio_config, + run_name="vits_thorsten-de", + batch_size=32, + eval_batch_size=16, + batch_group_size=5, + num_loader_workers=0, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="multilingual_phoneme_cleaners", + use_phonemes=True, + phoneme_language="de", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + compute_input_seq_cache=True, + print_step=25, + print_eval=True, + mixed_precision=True, + test_sentences=[ + "Es hat mich viel Zeit gekostet ein Stimme zu entwickeln, jetzt wo ich sie habe werde ich nicht mehr schweigen.", + "Sei eine Stimme, kein Echo.", + "Es tut mir Leid David. Das kann ich leider nicht machen.", + "Dieser Kuchen ist großartig. Er ist so lecker und feucht.", + "Vor dem 22. November 1963.", + ], + output_path=output_path, + datasets=[dataset_config], +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# config is updated with the default characters if not defined in the config. +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init model +model = Vits(config, ap, tokenizer, speaker_manager=None) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavegrad/train_wavegrad.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavegrad/train_wavegrad.py new file mode 100644 index 0000000..e9d2c95 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavegrad/train_wavegrad.py @@ -0,0 +1,56 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de +from TTS.vocoder.configs import WavegradConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.wavegrad import Wavegrad + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = WavegradConfig( + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + seq_len=6144, + pad_short=2000, + use_noise_augment=True, + eval_split_size=50, + print_step=50, + print_eval=True, + mixed_precision=False, + data_path=os.path.join(output_path, "../thorsten-de/wavs/"), + output_path=output_path, +) + +# download dataset if not already present +if not os.path.exists(config.data_path): + print("Downloading dataset") + download_path = os.path.abspath(os.path.join(os.path.abspath(config.data_path), "../../")) + download_thorsten_de(download_path) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = Wavegrad(config) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavernn/train_wavernn.py b/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavernn/train_wavernn.py new file mode 100644 index 0000000..f2a283f --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/thorsten_DE/wavernn/train_wavernn.py @@ -0,0 +1,58 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.utils.audio import AudioProcessor +from TTS.utils.downloaders import download_thorsten_de +from TTS.vocoder.configs import WavernnConfig +from TTS.vocoder.datasets.preprocess import load_wav_data +from TTS.vocoder.models.wavernn import Wavernn + +output_path = os.path.dirname(os.path.abspath(__file__)) +config = WavernnConfig( + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=10000, + seq_len=1280, + pad_short=2000, + use_noise_augment=False, + eval_split_size=10, + print_step=25, + print_eval=True, + mixed_precision=False, + lr=1e-4, + grad_clip=4, + data_path=os.path.join(output_path, "../thorsten-de/wavs/"), + output_path=output_path, +) + +# download dataset if not already present +if not os.path.exists(config.data_path): + print("Downloading dataset") + download_path = os.path.abspath(os.path.join(os.path.abspath(config.data_path), "../../")) + download_thorsten_de(download_path) + +# init audio processor +ap = AudioProcessor(**config.audio.to_dict()) + +# load training samples +eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size) + +# init model +model = Wavernn(config) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + training_assets={"audio_processor": ap}, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/delightful_tts/train_delightful_tts.py b/components/Universal_TTS_Finetune/recipes/vctk/delightful_tts/train_delightful_tts.py new file mode 100644 index 0000000..eebf408 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/delightful_tts/train_delightful_tts.py @@ -0,0 +1,84 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.configs.delightful_tts_config import DelightfulTtsAudioConfig, DelightfulTTSConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.delightful_tts import DelightfulTTS, DelightfulTtsArgs, VocoderConfig +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio.processor import AudioProcessor + +data_path = "/raid/datasets/vctk_v092_48khz_removed_silence_silero_vad" +output_path = os.path.dirname(os.path.abspath(__file__)) + + +dataset_config = BaseDatasetConfig( + dataset_name="vctk", formatter="vctk", meta_file_train="", path=data_path, language="en-us" +) + +audio_config = DelightfulTtsAudioConfig() + +model_args = DelightfulTtsArgs() + +vocoder_config = VocoderConfig() + +something_tts_config = DelightfulTTSConfig( + run_name="delightful_tts_vctk", + run_description="Train like in delightful tts paper.", + model_args=model_args, + audio=audio_config, + vocoder=vocoder_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=10, + num_eval_loader_workers=10, + precompute_num_workers=40, + compute_input_seq_cache=True, + compute_f0=True, + f0_cache_path=os.path.join(output_path, "f0_cache"), + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=50, + print_eval=False, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], + start_by_longest=True, + binary_align_loss_alpha=0.0, + use_attn_priors=False, + max_text_len=60, + steps_to_start_discriminator=10000, +) + +tokenizer, config = TTSTokenizer.init_from_config(something_tts_config) + +ap = AudioProcessor.init_from_config(config) + + +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + + +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + + +model = DelightfulTTS(ap=ap, config=config, tokenizer=tokenizer, speaker_manager=speaker_manager, emotion_manager=None) + +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/download_vctk.sh b/components/Universal_TTS_Finetune/recipes/vctk/download_vctk.sh new file mode 100644 index 0000000..d08a53c --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/download_vctk.sh @@ -0,0 +1,12 @@ +#!/usr/bin/env bash +# take the scripts's parent's directory to prefix all the output paths. +RUN_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" +echo $RUN_DIR +# download VCTK dataset +wget https://datashare.ed.ac.uk/bitstream/handle/10283/3443/VCTK-Corpus-0.92.zip -O VCTK-Corpus-0.92.zip +# extract +mkdir VCTK +unzip VCTK-Corpus-0.92 -d VCTK +# create train-val splits +mv VCTK $RUN_DIR/recipes/vctk/ +rm VCTK-Corpus-0.92.zip diff --git a/components/Universal_TTS_Finetune/recipes/vctk/fast_pitch/train_fast_pitch.py b/components/Universal_TTS_Finetune/recipes/vctk/fast_pitch/train_fast_pitch.py new file mode 100644 index 0000000..70b4578 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/fast_pitch/train_fast_pitch.py @@ -0,0 +1,98 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.fast_pitch_config import FastPitchConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = FastPitchConfig( + run_name="fast_pitch_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + precompute_num_workers=4, + compute_f0=True, + f0_cache_path=os.path.join(output_path, "f0_cache"), + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=50, + print_eval=False, + mixed_precision=False, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=500000, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +# init model +model = ForwardTTS(config, ap, tokenizer, speaker_manager=speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/fast_speech/train_fast_speech.py b/components/Universal_TTS_Finetune/recipes/vctk/fast_speech/train_fast_speech.py new file mode 100644 index 0000000..3db7ff7 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/fast_speech/train_fast_speech.py @@ -0,0 +1,96 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.fast_speech_config import FastSpeechConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = FastSpeechConfig( + run_name="fast_speech_vctk", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + precompute_num_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=50, + print_eval=False, + mixed_precision=False, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=500000, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, +) + +## INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +# init model +model = ForwardTTS(config, ap, tokenizer, speaker_manager=speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/glow_tts/train_glow_tts.py b/components/Universal_TTS_Finetune/recipes/vctk/glow_tts/train_glow_tts.py new file mode 100644 index 0000000..ae26029 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/glow_tts/train_glow_tts.py @@ -0,0 +1,96 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.glow_tts_config import GlowTTSConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.glow_tts import GlowTTS +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +# set experiment paths +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_path = os.path.join(output_path, "../VCTK/") + +# download the dataset if not downloaded +if not os.path.exists(dataset_path): + from TTS.utils.downloaders import download_vctk + + download_vctk(dataset_path) + +# define dataset config +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=dataset_path) + +# define audio config +# ❗ resample the dataset externally using `TTS/bin/resample.py` and set `resample=False` for faster training +audio_config = BaseAudioConfig(sample_rate=22050, resample=True, do_trim_silence=True, trim_db=23.0) + +# define model config +config = GlowTTSConfig( + batch_size=64, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + precompute_num_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=False, + mixed_precision=True, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=500000, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.num_speakers = speaker_manager.num_speakers + +# init model +model = GlowTTS(config, ap, tokenizer, speaker_manager=speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/resnet_speaker_encoder/train_encoder.py b/components/Universal_TTS_Finetune/recipes/vctk/resnet_speaker_encoder/train_encoder.py new file mode 100644 index 0000000..cd01754 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/resnet_speaker_encoder/train_encoder.py @@ -0,0 +1,139 @@ +import os + +from TTS.encoder.configs.speaker_encoder_config import SpeakerEncoderConfig + +# from TTS.encoder.configs.emotion_encoder_config import EmotionEncoderConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig + +CURRENT_PATH = os.getcwd() +# change the root path to the TTS root path +os.chdir("../../../") + +### Definitions ### +# dataset +VCTK_PATH = "/raid/datasets/VCTK_NEW_16khz_removed_silence_silero_vad/" # download: https://datashare.ed.ac.uk/bitstream/handle/10283/3443/VCTK-Corpus-0.92.zipdddddddddd +RIR_SIMULATED_PATH = "/raid/datasets/DA/RIRS_NOISES/simulated_rirs/" # download: https://www.openslr.org/17/ +MUSAN_PATH = "/raid/datasets/DA/musan/" # download: https://www.openslr.org/17/ + +# training +OUTPUT_PATH = os.path.join( + CURRENT_PATH, "resnet_speaker_encoder_training_output/" +) # path to save the train logs and checkpoint +CONFIG_OUT_PATH = os.path.join(OUTPUT_PATH, "config_se.json") +RESTORE_PATH = None # Checkpoint to use for transfer learning if None ignore + +# instance the config +# to speaker encoder +config = SpeakerEncoderConfig() +# to emotion encoder +# config = EmotionEncoderConfig() + + +#### DATASET CONFIG #### +# The formatter need to return the key "speaker_name" for the speaker encoder and the "emotion_name" for the emotion encoder +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", language="en-us", path=VCTK_PATH) + +# add the dataset to the config +config.datasets = [dataset_config] + + +#### TRAINING CONFIG #### +# The encoder data loader balancer the dataset item equally to guarantee better training and to attend the losses requirements +# It have two parameters to control the final batch size the number total of speaker used in each batch and the number of samples for each speaker + +# number total of speaker in batch in training +config.num_classes_in_batch = 100 +# number of utterance per class/speaker in the batch in training +config.num_utter_per_class = 4 +# final batch size = config.num_classes_in_batch * config.num_utter_per_class + +# number total of speaker in batch in evaluation +config.eval_num_classes_in_batch = 100 +# number of utterance per class/speaker in the batch in evaluation +config.eval_num_utter_per_class = 4 + +# number of data loader workers +config.num_loader_workers = 8 +config.num_val_loader_workers = 8 + +# number of epochs +config.epochs = 10000 +# loss to be used in training +config.loss = "softmaxproto" + +# run eval +config.run_eval = False + +# output path for the checkpoints +config.output_path = OUTPUT_PATH + +# Save local checkpoint every save_step steps +config.save_step = 2000 + +### Model Config ### +config.model_params = { + "model_name": "resnet", # supported "lstm" and "resnet" + "input_dim": 64, + "use_torch_spec": True, + "log_input": True, + "proj_dim": 512, # embedding dim +} + +### Audio Config ### +# To fast train the model divides the audio in small parts. it parameter defines the length in seconds of these "parts" +config.voice_len = 2.0 +# all others configs +config.audio = { + "fft_size": 512, + "win_length": 400, + "hop_length": 160, + "frame_shift_ms": None, + "frame_length_ms": None, + "stft_pad_mode": "reflect", + "sample_rate": 16000, + "resample": False, + "preemphasis": 0.97, + "ref_level_db": 20, + "do_sound_norm": False, + "do_trim_silence": False, + "trim_db": 60, + "power": 1.5, + "griffin_lim_iters": 60, + "num_mels": 64, + "mel_fmin": 0.0, + "mel_fmax": 8000.0, + "spec_gain": 20, + "signal_norm": False, + "min_level_db": -100, + "symmetric_norm": False, + "max_norm": 4.0, + "clip_norm": False, + "stats_path": None, + "do_rms_norm": True, + "db_level": -27.0, +} + + +### Augmentation Config ### +config.audio_augmentation = { + # additive noise and room impulse response (RIR) simulation similar to: https://arxiv.org/pdf/2009.14153.pdf + "p": 0.5, # probability to the use of one of the augmentation - 0 means disabled + "rir": {"rir_path": RIR_SIMULATED_PATH, "conv_mode": "full"}, # download: https://www.openslr.org/17/ + "additive": { + "sounds_path": MUSAN_PATH, + "speech": {"min_snr_in_db": 13, "max_snr_in_db": 20, "min_num_noises": 1, "max_num_noises": 1}, + "noise": {"min_snr_in_db": 0, "max_snr_in_db": 15, "min_num_noises": 1, "max_num_noises": 1}, + "music": {"min_snr_in_db": 5, "max_snr_in_db": 15, "min_num_noises": 1, "max_num_noises": 1}, + }, + "gaussian": {"p": 0.7, "min_amplitude": 0.0, "max_amplitude": 1e-05}, +} + +config.save_json(CONFIG_OUT_PATH) + +print(CONFIG_OUT_PATH) +if RESTORE_PATH is not None: + command = f"python TTS/bin/train_encoder.py --config_path {CONFIG_OUT_PATH} --restore_path {RESTORE_PATH}" +else: + command = f"python TTS/bin/train_encoder.py --config_path {CONFIG_OUT_PATH}" + +os.system(command) diff --git a/components/Universal_TTS_Finetune/recipes/vctk/speedy_speech/train_speedy_speech.py b/components/Universal_TTS_Finetune/recipes/vctk/speedy_speech/train_speedy_speech.py new file mode 100644 index 0000000..04caa6d --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/speedy_speech/train_speedy_speech.py @@ -0,0 +1,96 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config import BaseAudioConfig, BaseDatasetConfig +from TTS.tts.configs.speedy_speech_config import SpeedySpeechConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.forward_tts import ForwardTTS +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = SpeedySpeechConfig( + run_name="fast_pitch_ljspeech", + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=8, + num_eval_loader_workers=4, + compute_input_seq_cache=True, + precompute_num_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=50, + print_eval=False, + mixed_precision=False, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=500000, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +# init model +model = ForwardTTS(config, ap, tokenizer, speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/tacotron-DDC/train_tacotron-DDC.py b/components/Universal_TTS_Finetune/recipes/vctk/tacotron-DDC/train_tacotron-DDC.py new file mode 100644 index 0000000..7607a16 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/tacotron-DDC/train_tacotron-DDC.py @@ -0,0 +1,98 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron_config import TacotronConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron import Tacotron +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + resample=True, # Resample to 22050 Hz. It slows down training. Use `TTS/bin/resample.py` to pre-resample and set this False for faster training. + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + ref_level_db=20, + preemphasis=0.0, +) + +config = TacotronConfig( # This is the config that is saved for the future use + audio=audio_config, + batch_size=48, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + precompute_num_workers=4, + run_eval=True, + test_delay_epochs=-1, + r=6, + gradual_training=[[0, 6, 48], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]], + double_decoder_consistency=True, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=25, + print_eval=False, + mixed_precision=True, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=44000 * 10, # 44k is the original sampling rate before resampling, corresponds to 10 seconds of audio + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, # set this to enable multi-sepeaker training +) + +## INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it mainly handles speaker-id to speaker-name for the model and the data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") + +# init model +model = Tacotron(config, ap, tokenizer, speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/tacotron2-DDC/train_tacotron2-ddc.py b/components/Universal_TTS_Finetune/recipes/vctk/tacotron2-DDC/train_tacotron2-ddc.py new file mode 100644 index 0000000..8623018 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/tacotron2-DDC/train_tacotron2-ddc.py @@ -0,0 +1,104 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + resample=False, # Resample to 22050 Hz. It slows down training. Use `TTS/bin/resample.py` to pre-resample and set this False for faster training. + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + preemphasis=0.0, +) + +config = Tacotron2Config( # This is the config that is saved for the future use + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + r=2, + # gradual_training=[[0, 6, 48], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]], + double_decoder_consistency=True, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=150, + print_eval=False, + mixed_precision=True, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=44000 * 10, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, # set this to enable multi-sepeaker training + decoder_ssim_alpha=0.0, # disable ssim losses that causes NaN for some runs. + postnet_ssim_alpha=0.0, + postnet_diff_spec_alpha=0.0, + decoder_diff_spec_alpha=0.0, + attention_norm="softmax", + optimizer="Adam", + lr_scheduler=None, + lr=3e-5, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it mainly handles speaker-id to speaker-name for the model and the data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") + +# init model +model = Tacotron2(config, ap, tokenizer, speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/tacotron2/train_tacotron2.py b/components/Universal_TTS_Finetune/recipes/vctk/tacotron2/train_tacotron2.py new file mode 100644 index 0000000..d3f6634 --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/tacotron2/train_tacotron2.py @@ -0,0 +1,104 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseAudioConfig +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.tacotron2_config import Tacotron2Config +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.tacotron2 import Tacotron2 +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig(formatter="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/")) + +audio_config = BaseAudioConfig( + sample_rate=22050, + resample=False, # Resample to 22050 Hz. It slows down training. Use `TTS/bin/resample.py` to pre-resample and set this False for faster training. + do_trim_silence=True, + trim_db=23.0, + signal_norm=False, + mel_fmin=0.0, + mel_fmax=8000, + spec_gain=1.0, + log_func="np.log", + preemphasis=0.0, +) + +config = Tacotron2Config( # This is the config that is saved for the future use + audio=audio_config, + batch_size=32, + eval_batch_size=16, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + r=2, + # gradual_training=[[0, 6, 48], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]], + double_decoder_consistency=False, + epochs=1000, + text_cleaner="phoneme_cleaners", + use_phonemes=True, + phoneme_language="en-us", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + print_step=150, + print_eval=False, + mixed_precision=True, + min_text_len=0, + max_text_len=500, + min_audio_len=0, + max_audio_len=44000 * 10, + output_path=output_path, + datasets=[dataset_config], + use_speaker_embedding=True, # set this to enable multi-sepeaker training + decoder_ssim_alpha=0.0, # disable ssim losses that causes NaN for some runs. + postnet_ssim_alpha=0.0, + postnet_diff_spec_alpha=0.0, + decoder_diff_spec_alpha=0.0, + attention_norm="softmax", + optimizer="Adam", + lr_scheduler=None, + lr=3e-5, +) + +## INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# If characters are not defined in the config, default characters are passed to the config +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it mainly handles speaker-id to speaker-name for the model and the data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") + +# init model +model = Tacotron2(config, ap, tokenizer, speaker_manager) + +# INITIALIZE THE TRAINER +# Trainer provides a generic API to train all the 🐸TTS models with all its perks like mixed-precision training, +# distributed training, etc. +trainer = Trainer( + TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples +) + +# AND... 3,2,1... 🚀 +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/vits/train_vits.py b/components/Universal_TTS_Finetune/recipes/vctk/vits/train_vits.py new file mode 100644 index 0000000..dbc06ee --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/vits/train_vits.py @@ -0,0 +1,93 @@ +import os + +from trainer import Trainer, TrainerArgs + +from TTS.tts.configs.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import Vits, VitsArgs, VitsAudioConfig +from TTS.tts.utils.speakers import SpeakerManager +from TTS.tts.utils.text.tokenizer import TTSTokenizer +from TTS.utils.audio import AudioProcessor + +output_path = os.path.dirname(os.path.abspath(__file__)) +dataset_config = BaseDatasetConfig( + formatter="vctk", meta_file_train="", language="en-us", path=os.path.join(output_path, "../VCTK/") +) + + +audio_config = VitsAudioConfig( + sample_rate=22050, win_length=1024, hop_length=256, num_mels=80, mel_fmin=0, mel_fmax=None +) + +vitsArgs = VitsArgs( + use_speaker_embedding=True, +) + +config = VitsConfig( + model_args=vitsArgs, + audio=audio_config, + run_name="vits_vctk", + batch_size=32, + eval_batch_size=16, + batch_group_size=5, + num_loader_workers=4, + num_eval_loader_workers=4, + run_eval=True, + test_delay_epochs=-1, + epochs=1000, + text_cleaner="english_cleaners", + use_phonemes=True, + phoneme_language="en", + phoneme_cache_path=os.path.join(output_path, "phoneme_cache"), + compute_input_seq_cache=True, + print_step=25, + print_eval=False, + mixed_precision=True, + max_text_len=325, # change this if you have a larger VRAM than 16GB + output_path=output_path, + datasets=[dataset_config], + cudnn_benchmark=False, +) + +# INITIALIZE THE AUDIO PROCESSOR +# Audio processor is used for feature extraction and audio I/O. +# It mainly serves to the dataloader and the training loggers. +ap = AudioProcessor.init_from_config(config) + +# INITIALIZE THE TOKENIZER +# Tokenizer is used to convert text to sequences of token IDs. +# config is updated with the default characters if not defined in the config. +tokenizer, config = TTSTokenizer.init_from_config(config) + +# LOAD DATA SAMPLES +# Each sample is a list of ```[text, audio_file_path, speaker_name]``` +# You can define your custom sample loader returning the list of samples. +# Or define your custom formatter and pass it to the `load_tts_samples`. +# Check `TTS.tts.datasets.load_tts_samples` for more details. +train_samples, eval_samples = load_tts_samples( + dataset_config, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# init speaker manager for multi-speaker training +# it maps speaker-id to speaker-name in the model and data-loader +speaker_manager = SpeakerManager() +speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name") +config.model_args.num_speakers = speaker_manager.num_speakers + +# init model +model = Vits(config, ap, tokenizer, speaker_manager) + +# init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(), + config, + output_path, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/recipes/vctk/yourtts/train_yourtts.py b/components/Universal_TTS_Finetune/recipes/vctk/yourtts/train_yourtts.py new file mode 100644 index 0000000..b9cf10f --- /dev/null +++ b/components/Universal_TTS_Finetune/recipes/vctk/yourtts/train_yourtts.py @@ -0,0 +1,253 @@ +import os + +import torch +from trainer import Trainer, TrainerArgs + +from TTS.bin.compute_embeddings import compute_embeddings +from TTS.bin.resample import resample_files +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.configs.vits_config import VitsConfig +from TTS.tts.datasets import load_tts_samples +from TTS.tts.models.vits import CharactersConfig, Vits, VitsArgs, VitsAudioConfig +from TTS.utils.downloaders import download_vctk + +torch.set_num_threads(24) + +# pylint: disable=W0105 +""" + This recipe replicates the first experiment proposed in the YourTTS paper (https://arxiv.org/abs/2112.02418). + YourTTS model is based on the VITS model however it uses external speaker embeddings extracted from a pre-trained speaker encoder and has small architecture changes. + In addition, YourTTS can be trained in multilingual data, however, this recipe replicates the single language training using the VCTK dataset. + If you are interested in multilingual training, we have commented on parameters on the VitsArgs class instance that should be enabled for multilingual training. + In addition, you will need to add the extra datasets following the VCTK as an example. +""" +CURRENT_PATH = os.path.dirname(os.path.abspath(__file__)) + +# Name of the run for the Trainer +RUN_NAME = "YourTTS-EN-VCTK" + +# Path where you want to save the models outputs (configs, checkpoints and tensorboard logs) +OUT_PATH = os.path.dirname(os.path.abspath(__file__)) # "/raid/coqui/Checkpoints/original-YourTTS/" + +# If you want to do transfer learning and speedup your training you can set here the path to the original YourTTS model +RESTORE_PATH = None # "/root/.local/share/tts/tts_models--multilingual--multi-dataset--your_tts/model_file.pth" + +# This paramter is useful to debug, it skips the training epochs and just do the evaluation and produce the test sentences +SKIP_TRAIN_EPOCH = False + +# Set here the batch size to be used in training and evaluation +BATCH_SIZE = 32 + +# Training Sampling rate and the target sampling rate for resampling the downloaded dataset (Note: If you change this you might need to redownload the dataset !!) +# Note: If you add new datasets, please make sure that the dataset sampling rate and this parameter are matching, otherwise resample your audios +SAMPLE_RATE = 16000 + +# Max audio length in seconds to be used in training (every audio bigger than it will be ignored) +MAX_AUDIO_LEN_IN_SECONDS = 10 + +### Download VCTK dataset +VCTK_DOWNLOAD_PATH = os.path.join(CURRENT_PATH, "VCTK") +# Define the number of threads used during the audio resampling +NUM_RESAMPLE_THREADS = 10 +# Check if VCTK dataset is not already downloaded, if not download it +if not os.path.exists(VCTK_DOWNLOAD_PATH): + print(">>> Downloading VCTK dataset:") + download_vctk(VCTK_DOWNLOAD_PATH) + resample_files(VCTK_DOWNLOAD_PATH, SAMPLE_RATE, file_ext="flac", n_jobs=NUM_RESAMPLE_THREADS) + +# init configs +vctk_config = BaseDatasetConfig( + formatter="vctk", + dataset_name="vctk", + meta_file_train="", + meta_file_val="", + path=VCTK_DOWNLOAD_PATH, + language="en", + ignored_speakers=[ + "p261", + "p225", + "p294", + "p347", + "p238", + "p234", + "p248", + "p335", + "p245", + "p326", + "p302", + ], # Ignore the test speakers to full replicate the paper experiment +) + +# Add here all datasets configs, in our case we just want to train with the VCTK dataset then we need to add just VCTK. Note: If you want to add new datasets, just add them here and it will automatically compute the speaker embeddings (d-vectors) for this new dataset :) +DATASETS_CONFIG_LIST = [vctk_config] + +### Extract speaker embeddings +SPEAKER_ENCODER_CHECKPOINT_PATH = ( + "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/model_se.pth.tar" +) +SPEAKER_ENCODER_CONFIG_PATH = "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/config_se.json" + +D_VECTOR_FILES = [] # List of speaker embeddings/d-vectors to be used during the training + +# Iterates all the dataset configs checking if the speakers embeddings are already computated, if not compute it +for dataset_conf in DATASETS_CONFIG_LIST: + # Check if the embeddings weren't already computed, if not compute it + embeddings_file = os.path.join(dataset_conf.path, "speakers.pth") + if not os.path.isfile(embeddings_file): + print(f">>> Computing the speaker embeddings for the {dataset_conf.dataset_name} dataset") + compute_embeddings( + SPEAKER_ENCODER_CHECKPOINT_PATH, + SPEAKER_ENCODER_CONFIG_PATH, + embeddings_file, + old_speakers_file=None, + config_dataset_path=None, + formatter_name=dataset_conf.formatter, + dataset_name=dataset_conf.dataset_name, + dataset_path=dataset_conf.path, + meta_file_train=dataset_conf.meta_file_train, + meta_file_val=dataset_conf.meta_file_val, + disable_cuda=False, + no_eval=False, + ) + D_VECTOR_FILES.append(embeddings_file) + + +# Audio config used in training. +audio_config = VitsAudioConfig( + sample_rate=SAMPLE_RATE, + hop_length=256, + win_length=1024, + fft_size=1024, + mel_fmin=0.0, + mel_fmax=None, + num_mels=80, +) + +# Init VITSArgs setting the arguments that are needed for the YourTTS model +model_args = VitsArgs( + d_vector_file=D_VECTOR_FILES, + use_d_vector_file=True, + d_vector_dim=512, + num_layers_text_encoder=10, + speaker_encoder_model_path=SPEAKER_ENCODER_CHECKPOINT_PATH, + speaker_encoder_config_path=SPEAKER_ENCODER_CONFIG_PATH, + resblock_type_decoder="2", # In the paper, we accidentally trained the YourTTS using ResNet blocks type 2, if you like you can use the ResNet blocks type 1 like the VITS model + # Useful parameters to enable the Speaker Consistency Loss (SCL) described in the paper + # use_speaker_encoder_as_loss=True, + # Useful parameters to enable multilingual training + # use_language_embedding=True, + # embedded_language_dim=4, +) + +# General training config, here you can change the batch size and others useful parameters +config = VitsConfig( + output_path=OUT_PATH, + model_args=model_args, + run_name=RUN_NAME, + project_name="YourTTS", + run_description=""" + - Original YourTTS trained using VCTK dataset + """, + dashboard_logger="tensorboard", + logger_uri=None, + audio=audio_config, + batch_size=BATCH_SIZE, + batch_group_size=48, + eval_batch_size=BATCH_SIZE, + num_loader_workers=8, + eval_split_max_size=256, + print_step=50, + plot_step=100, + log_model_step=1000, + save_step=5000, + save_n_checkpoints=2, + save_checkpoints=True, + target_loss="loss_1", + print_eval=False, + use_phonemes=False, + phonemizer="espeak", + phoneme_language="en", + compute_input_seq_cache=True, + add_blank=True, + text_cleaner="multilingual_cleaners", + characters=CharactersConfig( + characters_class="TTS.tts.models.vits.VitsCharacters", + pad="_", + eos="&", + bos="*", + blank=None, + characters="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00af\u00b7\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u00ff\u0101\u0105\u0107\u0113\u0119\u011b\u012b\u0131\u0142\u0144\u014d\u0151\u0153\u015b\u016b\u0171\u017a\u017c\u01ce\u01d0\u01d2\u01d4\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f\u0451\u0454\u0456\u0457\u0491\u2013!'(),-.:;? ", + punctuations="!'(),-.:;? ", + phonemes="", + is_unique=True, + is_sorted=True, + ), + phoneme_cache_path=None, + precompute_num_workers=12, + start_by_longest=True, + datasets=DATASETS_CONFIG_LIST, + cudnn_benchmark=False, + max_audio_len=SAMPLE_RATE * MAX_AUDIO_LEN_IN_SECONDS, + mixed_precision=False, + test_sentences=[ + [ + "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "VCTK_p277", + None, + "en", + ], + [ + "Be a voice, not an echo.", + "VCTK_p239", + None, + "en", + ], + [ + "I'm sorry Dave. I'm afraid I can't do that.", + "VCTK_p258", + None, + "en", + ], + [ + "This cake is great. It's so delicious and moist.", + "VCTK_p244", + None, + "en", + ], + [ + "Prior to November 22, 1963.", + "VCTK_p305", + None, + "en", + ], + ], + # Enable the weighted sampler + use_weighted_sampler=True, + # Ensures that all speakers are seen in the training batch equally no matter how many samples each speaker has + weighted_sampler_attrs={"speaker_name": 1.0}, + weighted_sampler_multipliers={}, + # It defines the Speaker Consistency Loss (SCL) α to 9 like the paper + speaker_encoder_loss_alpha=9.0, +) + +# Load all the datasets samples and split traning and evaluation sets +train_samples, eval_samples = load_tts_samples( + config.datasets, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, +) + +# Init the model +model = Vits.init_from_config(config) + +# Init the trainer and 🚀 +trainer = Trainer( + TrainerArgs(restore_path=RESTORE_PATH, skip_train_epoch=SKIP_TRAIN_EPOCH), + config, + output_path=OUT_PATH, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, +) +trainer.fit() diff --git a/components/Universal_TTS_Finetune/requirements.txt b/components/Universal_TTS_Finetune/requirements.txt new file mode 100644 index 0000000..b069435 --- /dev/null +++ b/components/Universal_TTS_Finetune/requirements.txt @@ -0,0 +1,24 @@ +faster_whisper>=1.0.2 +gradio>=4.13.0 +spacy>=3.7.4 +coqui-tts[languages]>=0.24.2 + +cutlet +fugashi[unidic-lite] + +# Piper training and inference dependencies +Cython>=0.29.0 +piper-phonemize-fix +librosa>=0.9.2 +pytorch-lightning>=1.7.0 +onnx>=1.11.0 +onnxruntime>=1.11.0; sys_platform == 'darwin' +onnxruntime-gpu>=1.11.0; sys_platform != 'darwin' and python_version >= '3.12' +onnxruntime>=1.11.0; sys_platform != 'darwin' and python_version < '3.12' +onnx-simplifier>=0.4.10 +onnxscript>=0.7.0 + +# Speaker Diarization Upgrade +pyannote-audio +uroman + diff --git a/components/Universal_TTS_Finetune/test_speaker.py b/components/Universal_TTS_Finetune/test_speaker.py new file mode 100644 index 0000000..7acf7d6 --- /dev/null +++ b/components/Universal_TTS_Finetune/test_speaker.py @@ -0,0 +1,10 @@ +from TTS.api import TTS +try: + print("Loading model...") + # The standard your_tts model has a speaker encoder + tts = TTS("tts_models/multilingual/multi-dataset/your_tts") + print("Model loaded.") + # See if we can extract an embedding + print(dir(tts.synthesizer.tts_model.speaker_manager)) +except Exception as e: + print(e) diff --git a/components/Universal_TTS_Finetune/utils/formatter.py b/components/Universal_TTS_Finetune/utils/formatter.py new file mode 100644 index 0000000..8435a3d --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/formatter.py @@ -0,0 +1,164 @@ +import os +import gc +import torchaudio +import pandas +from faster_whisper import WhisperModel +from glob import glob + +from tqdm import tqdm + +from TTS.tts.layers.xtts.tokenizer import multilingual_cleaners +# Add support for JA train +# from utils.tokenizer import multilingual_cleaners + +import torch +import torchaudio +# torch.set_num_threads(1) + + +torch.set_num_threads(16) +import os + +audio_types = (".wav", ".mp3", ".flac") + +def find_latest_best_model(folder_path): + search_path = os.path.join(folder_path, '**', 'best_model.pth') + files = glob(search_path, recursive=True) + latest_file = max(files, key=os.path.getctime, default=None) + return latest_file + + +def list_audios(basePath, contains=None): + # return the set of files that are valid + return list_files(basePath, validExts=audio_types, contains=contains) + +def list_files(basePath, validExts=None, contains=None): + # loop over the directory structure + for (rootDir, dirNames, filenames) in os.walk(basePath): + # loop over the filenames in the current directory + for filename in filenames: + # if the contains string is not none and the filename does not contain + # the supplied string, then ignore the file + if contains is not None and filename.find(contains) == -1: + continue + + # determine the file extension of the current file + ext = filename[filename.rfind("."):].lower() + + # check to see if the file is an audio and should be processed + if validExts is None or ext.endswith(validExts): + # construct the path to the audio and yield it + audioPath = os.path.join(rootDir, filename) + yield audioPath + +def format_audio_list(audio_files, asr_model, target_language="en", out_path=None, buffer=0.2, eval_percentage=0.15, speaker_name="coqui", gradio_progress=None): + audio_total_size = 0 + os.makedirs(out_path, exist_ok=True) + + lang_file_path = os.path.join(out_path, "lang.txt") + current_language = None + + # Check and update language file + if os.path.exists(lang_file_path): + with open(lang_file_path, 'r', encoding='utf-8') as existing_lang_file: + current_language = existing_lang_file.read().strip() + if current_language != target_language: + with open(lang_file_path, 'w', encoding='utf-8') as lang_file: + lang_file.write(target_language + '\n') + print("Warning: Language mismatch, updated to target language.") + else: + print("Language matches target.") + + # Initialize metadata + metadata = {"audio_file": [], "text": [], "original_text": []} + metadata_path = os.path.join(out_path, "metadata.csv") + + tqdm_object = gradio_progress.tqdm(audio_files, desc="Formatting...") if gradio_progress else tqdm(audio_files) + + # Process audio files + for audio_path in tqdm_object: + wav, sr = torchaudio.load(audio_path) + if wav.size(0) != 1: + wav = torch.mean(wav, dim=0, keepdim=True) + wav = wav.squeeze() + audio_total_size += (wav.size(-1) / sr) + + segments, _ = asr_model.transcribe(audio_path, vad_filter=True, word_timestamps=True, language=target_language) + + # Prepare sentences + sentence = "" + sentence_start = None + first_word = True + words_list = [word for segment in segments for word in segment.words] + + i = 0 # Index for audio segments + for word_idx, word in enumerate(words_list): + if first_word: + sentence_start = max(word.start - buffer, 0) + sentence = word.word + first_word = False + else: + sentence += word.word + + # Check for sentence-ending punctuation + if word.word[-1] in ["!", "。", ".", "?"]: + # Clean up the sentence + sentence = sentence.strip() + sentence_cleaned = multilingual_cleaners(sentence, target_language) + + # Generate audio file name + audio_file_name = os.path.splitext(os.path.basename(audio_path))[0] + audio_file = f"{audio_file_name}_{str(i).zfill(8)}.wav" + + # Calculate word end + if word_idx + 1 < len(words_list): + next_word_start = words_list[word_idx + 1].start + else: + next_word_start = (wav.shape[0] - 1) / sr + + word_end = min((word.end + next_word_start) / 2, word.end + buffer) + + # Save the audio segment + absolute_path = os.path.join(out_path, audio_file) + os.makedirs(os.path.dirname(absolute_path), exist_ok=True) + audio_segment = wav[int(sr * sentence_start):int(sr * word_end)].unsqueeze(0) + if audio_segment.size(-1) >= sr / 3: + torchaudio.save(absolute_path, audio_segment, sr) + else: + continue # Skip segments that are too short + + # Update metadata + metadata["audio_file"].append(audio_file) + metadata["text"].append(sentence_cleaned) + metadata["original_text"].append(sentence) + + # Reset for next sentence + sentence = "" + first_word = True + i += 1 + + # Save the raw metadata + df = pandas.DataFrame(metadata) + df.to_csv(metadata_path, sep="|", index=False, header=False) + + # Paths for shuffled and split metadata + shuffled_metadata_path = os.path.join(out_path, "metadata_shuf.csv") + train_metadata_path = os.path.join(out_path, "metadata_train.csv") + val_metadata_path = os.path.join(out_path, "metadata_val.csv") + + # Shuffle and split metadata using pandas instead of shell commands + df_shuffled = df.sample(frac=1).reset_index(drop=True) + df_shuffled.to_csv(shuffled_metadata_path, sep="|", index=False, header=False) + + # Split into training and validation sets based on eval_percentage + num_total_samples = len(df_shuffled) + num_val_samples = int(num_total_samples * eval_percentage) + num_train_samples = num_total_samples - num_val_samples + + df_train = df_shuffled.iloc[:num_train_samples] + df_val = df_shuffled.iloc[num_train_samples:] + + df_train.to_csv(train_metadata_path, sep="|", index=False, header=False) + df_val.to_csv(val_metadata_path, sep="|", index=False, header=False) + + return metadata_path, shuffled_metadata_path, train_metadata_path, val_metadata_path, audio_total_size diff --git a/components/Universal_TTS_Finetune/utils/gpt_train.py b/components/Universal_TTS_Finetune/utils/gpt_train.py new file mode 100644 index 0000000..850420c --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/gpt_train.py @@ -0,0 +1,244 @@ +import logging +import os +import gc +from pathlib import Path + +from trainer import Trainer, TrainerArgs + +from TTS.config.shared_configs import BaseDatasetConfig +from TTS.tts.datasets import load_tts_samples +try: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig, XttsAudioConfig +except ImportError: + from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig + from TTS.tts.configs.xtts_config import XttsAudioConfig +from TTS.utils.manage import ModelManager +import shutil + + +def train_gpt(custom_model,version, language, num_epochs, batch_size, grad_acumm, train_csv, eval_csv, output_path, max_audio_length=255995): + # Logging parameters + RUN_NAME = "GPT_XTTS_FT" + PROJECT_NAME = "XTTS_trainer" + DASHBOARD_LOGGER = "tensorboard" + LOGGER_URI = None + + # print(f"XTTS version = {version}") + + # Set here the path that the checkpoints will be saved. Default: ./run/training/ + OUT_PATH = os.path.join(output_path, "run", "training") + + # Training Parameters + OPTIMIZER_WD_ONLY_ON_WEIGHTS = True # for multi-gpu training please make it False + START_WITH_EVAL = False # if True it will star with evaluation + BATCH_SIZE = batch_size # set here the batch size + GRAD_ACUMM_STEPS = grad_acumm # set here the grad accumulation steps + + + # Define here the dataset that you want to use for the fine-tuning on. + config_dataset = BaseDatasetConfig( + formatter="coqui", + dataset_name="ft_dataset", + path=os.path.dirname(train_csv), + meta_file_train=train_csv, + meta_file_val=eval_csv, + language=language, + ) + + # Add here the configs of the datasets + DATASETS_CONFIG_LIST = [config_dataset] + + # Define the path where XTTS v2.0.1 files will be downloaded + CHECKPOINTS_OUT_PATH = os.path.join(Path.cwd(), "base_models",f"{version}") + os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True) + + + # DVAE files + DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/dvae.pth" + MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/mel_stats.pth" + + # Set the path to the downloaded files + DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(DVAE_CHECKPOINT_LINK)) + MEL_NORM_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(MEL_NORM_LINK)) + + # download DVAE files if needed + if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE): + print(" > Downloading DVAE files!") + ModelManager._download_model_files([MEL_NORM_LINK, DVAE_CHECKPOINT_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True) + + + # Download XTTS v2.0 checkpoint if needed + TOKENIZER_FILE_LINK = f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{version}/vocab.json" + XTTS_CHECKPOINT_LINK = f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{version}/model.pth" + XTTS_CONFIG_LINK = f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{version}/config.json" + XTTS_SPEAKER_LINK = f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/speakers_xtts.pth" + + # XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning. + TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(TOKENIZER_FILE_LINK)) # vocab.json file + XTTS_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(XTTS_CHECKPOINT_LINK)) # model.pth file + XTTS_CONFIG_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(XTTS_CONFIG_LINK)) # config.json file + XTTS_SPEAKER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(XTTS_SPEAKER_LINK)) # speakers_xtts.pth file + + # download XTTS v2.0 files if needed + if not os.path.isfile(TOKENIZER_FILE) or not os.path.isfile(XTTS_CHECKPOINT): + print(f" > Downloading XTTS v{version} files!") + ModelManager._download_model_files( + [TOKENIZER_FILE_LINK, XTTS_CHECKPOINT_LINK, XTTS_CONFIG_LINK,XTTS_SPEAKER_LINK], CHECKPOINTS_OUT_PATH, progress_bar=True + ) + + # Transfer this files to ready folder + READY_MODEL_PATH = os.path.join(output_path,"ready") + if not os.path.exists(READY_MODEL_PATH): + os.makedirs(READY_MODEL_PATH) + + NEW_TOKENIZER_FILE = os.path.join(READY_MODEL_PATH, "vocab.json") + # NEW_XTTS_CHECKPOINT = os.path.join(READY_MODEL_PATH, "model.pth") + NEW_XTTS_CONFIG_FILE = os.path.join(READY_MODEL_PATH, "config.json") + NEW_XTTS_SPEAKER_FILE = os.path.join(READY_MODEL_PATH, "speakers_xtts.pth") + + shutil.copy(TOKENIZER_FILE, NEW_TOKENIZER_FILE) + # shutil.copy(XTTS_CHECKPOINT, os.path.join(READY_MODEL_PATH, "model.pth")) + shutil.copy(XTTS_CONFIG_FILE, NEW_XTTS_CONFIG_FILE) + shutil.copy(XTTS_SPEAKER_FILE, NEW_XTTS_SPEAKER_FILE) + +# Use from ready folder + TOKENIZER_FILE = NEW_TOKENIZER_FILE # vocab.json file + # XTTS_CHECKPOINT = NEW_XTTS_CHECKPOINT # model.pth file + XTTS_CONFIG_FILE = NEW_XTTS_CONFIG_FILE # config.json file + XTTS_SPEAKER_FILE = NEW_XTTS_SPEAKER_FILE # speakers_xtts.pth file + + + if custom_model != "": + if os.path.exists(custom_model) and custom_model.endswith('.pth'): + XTTS_CHECKPOINT = custom_model + print(f" > Loading custom model: {XTTS_CHECKPOINT}") + else: + print(" > Error: The specified custom model is not a valid .pth file path.") + + num_workers = 8 + if language == "ja": + num_workers = 0 + # init args and config + model_args = GPTArgs( + max_conditioning_length=132300, # 6 secs + min_conditioning_length=66150, # 3 secs + debug_loading_failures=False, + max_wav_length=max_audio_length, # ~11.6 seconds + max_text_length=200, + mel_norm_file=MEL_NORM_FILE, + dvae_checkpoint=DVAE_CHECKPOINT, + xtts_checkpoint=XTTS_CHECKPOINT, # checkpoint path of the model that you want to fine-tune + tokenizer_file=TOKENIZER_FILE, + gpt_num_audio_tokens=1026, + gpt_start_audio_token=1024, + gpt_stop_audio_token=1025, + gpt_use_masking_gt_prompt_approach=True, + gpt_use_perceiver_resampler=True, + ) + # define audio config + audio_config = XttsAudioConfig(sample_rate=22050, dvae_sample_rate=22050, output_sample_rate=24000) + # training parameters config + config = GPTTrainerConfig( + epochs=num_epochs, + output_path=OUT_PATH, + model_args=model_args, + run_name=RUN_NAME, + project_name=PROJECT_NAME, + run_description=""" + GPT XTTS training + """, + dashboard_logger=DASHBOARD_LOGGER, + logger_uri=LOGGER_URI, + audio=audio_config, + batch_size=BATCH_SIZE, + batch_group_size=48, + eval_batch_size=BATCH_SIZE, + num_loader_workers=num_workers, + eval_split_max_size=256, + print_step=50, + plot_step=100, + log_model_step=100, + save_step=1000, + save_n_checkpoints=1, + save_checkpoints=True, + # target_loss="loss", + print_eval=False, + # Optimizer values like tortoise, pytorch implementation with modifications to not apply WD to non-weight parameters. + optimizer="AdamW", + optimizer_wd_only_on_weights=OPTIMIZER_WD_ONLY_ON_WEIGHTS, + optimizer_params={"betas": [0.9, 0.96], "eps": 1e-8, "weight_decay": 1e-2}, + lr=5e-06, # learning rate + lr_scheduler="MultiStepLR", + # it was adjusted accordly for the new step scheme + lr_scheduler_params={"milestones": [50000 * 18, 150000 * 18, 300000 * 18], "gamma": 0.5, "last_epoch": -1}, + test_sentences=[], + ) + + # init the model from config + model = GPTTrainer.init_from_config(config) + + # load training samples + try: + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + except AssertionError as e: + if "You do not have enough samples for the evaluation set" in str(e): + total_samples = load_tts_samples(DATASETS_CONFIG_LIST, eval_split=False) + num_samples = len(total_samples) + if num_samples > 0: + new_eval_split_size = 1.0 / num_samples + print(f" > Recalculating eval_split_size to {new_eval_split_size} (at least 1 evaluation sample)") + config.eval_split_size = new_eval_split_size + train_samples, eval_samples = load_tts_samples( + DATASETS_CONFIG_LIST, + eval_split=True, + eval_split_max_size=config.eval_split_max_size, + eval_split_size=config.eval_split_size, + ) + else: + raise e + else: + raise e + + # init the trainer and 🚀 + trainer = Trainer( + TrainerArgs( + restore_path=None, # xtts checkpoint is restored via xtts_checkpoint key so no need of restore it using Trainer restore_path parameter + skip_train_epoch=False, + start_with_eval=START_WITH_EVAL, + grad_accum_steps=GRAD_ACUMM_STEPS, + ), + config, + output_path=OUT_PATH, + model=model, + train_samples=train_samples, + eval_samples=eval_samples, + ) + trainer.fit() + + # get the longest text audio file to use as speaker reference + samples_len = [len(item["text"].split(" ")) for item in train_samples] + longest_text_idx = samples_len.index(max(samples_len)) + speaker_ref = train_samples[longest_text_idx]["audio_file"] + + trainer_out_path = trainer.output_path + + # close file handlers and remove them from the logger + for handler in logging.getLogger('trainer').handlers: + if isinstance(handler, logging.FileHandler): + handler.close() + logging.getLogger('trainer').removeHandler(handler) + + # now you should be able to delete the log file + log_file = os.path.join(trainer.output_path, f"trainer_{trainer.args.rank}_log.txt") + os.remove(log_file) + + # deallocate VRAM and RAM + del model, trainer, train_samples, eval_samples + gc.collect() + + return XTTS_SPEAKER_FILE,XTTS_CONFIG_FILE, XTTS_CHECKPOINT, TOKENIZER_FILE, trainer_out_path, speaker_ref diff --git a/components/Universal_TTS_Finetune/utils/model_registry.py b/components/Universal_TTS_Finetune/utils/model_registry.py new file mode 100644 index 0000000..9b1281a --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/model_registry.py @@ -0,0 +1,187 @@ +from __future__ import annotations + +from dataclasses import dataclass +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parent.parent +RECIPES_ROOT = REPO_ROOT / "recipes" / "ljspeech" + + +@dataclass(frozen=True) +class ModelSpec: + key: str + label: str + recipe_dir: str + train_script: str + family: str + official_model_id: str | None = None + default_vocoder_id: str | None = None + supports_language: bool = False + requires_speaker_wav: bool = False + notes: str = "" + + @property + def recipe_path(self) -> Path: + return RECIPES_ROOT / self.recipe_dir + + @property + def train_script_path(self) -> Path: + return self.recipe_path / self.train_script + + +MODEL_SPECS = ( + ModelSpec( + key="align_tts", + label="Align TTS", + recipe_dir="align_tts", + train_script="train_aligntts.py", + family="tts", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="delightful_tts", + label="DelightfulTTS", + recipe_dir="delightful_tts", + train_script="train_delightful_tts.py", + family="tts", + ), + ModelSpec( + key="fast_pitch", + label="FastPitch", + recipe_dir="fast_pitch", + train_script="train_fast_pitch.py", + family="tts", + official_model_id="tts_models/en/ljspeech/fast_pitch", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="fast_speech", + label="FastSpeech", + recipe_dir="fast_speech", + train_script="train_fast_speech.py", + family="tts", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="fastspeech2", + label="FastSpeech 2", + recipe_dir="fastspeech2", + train_script="train_fastspeech2.py", + family="tts", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="glow_tts", + label="Glow-TTS", + recipe_dir="glow_tts", + train_script="train_glowtts.py", + family="tts", + official_model_id="tts_models/en/ljspeech/glow-tts", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="neuralhmm_tts", + label="NeuralHMM-TTS", + recipe_dir="neuralhmm_tts", + train_script="train_neuralhmmtts.py", + family="tts", + official_model_id="tts_models/en/ljspeech/neural_hmm", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="overflow", + label="Overflow", + recipe_dir="overflow", + train_script="train_overflow.py", + family="tts", + official_model_id="tts_models/en/ljspeech/overflow", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="speedy_speech", + label="SpeedySpeech", + recipe_dir="speedy_speech", + train_script="train_speedy_speech.py", + family="tts", + official_model_id="tts_models/en/ljspeech/speedy-speech", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="tacotron2_capacitron", + label="Tacotron2 Capacitron", + recipe_dir="tacotron2-Capacitron", + train_script="train_capacitron_t2.py", + family="tts", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="tacotron2_dca", + label="Tacotron2 DCA", + recipe_dir="tacotron2-DCA", + train_script="train_tacotron_dca.py", + family="tts", + official_model_id="tts_models/en/ljspeech/tacotron2-DCA", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="tacotron2_ddc", + label="Tacotron2 DDC", + recipe_dir="tacotron2-DDC", + train_script="train_tacotron_ddc.py", + family="tts", + official_model_id="tts_models/en/ljspeech/tacotron2-DDC", + default_vocoder_id="vocoder_models/en/ljspeech/univnet", + ), + ModelSpec( + key="vits_tts", + label="VITS", + recipe_dir="vits_tts", + train_script="train_vits.py", + family="tts", + official_model_id="tts_models/en/ljspeech/vits", + ), + ModelSpec( + key="xtts_v1", + label="XTTS v1", + recipe_dir="xtts_v1", + train_script="train_gpt_xtts.py", + family="xtts", + official_model_id="tts_models/multilingual/multi-dataset/xtts_v1.1", + supports_language=True, + requires_speaker_wav=True, + ), + ModelSpec( + key="xtts_v2", + label="XTTS v2", + recipe_dir="xtts_v2", + train_script="train_gpt_xtts.py", + family="xtts", + official_model_id="tts_models/multilingual/multi-dataset/xtts_v2", + supports_language=True, + requires_speaker_wav=True, + ), + ModelSpec( + key="piper", + label="Piper TTS", + recipe_dir="piper", + train_script="piper_train", + family="piper", + supports_language=True, + requires_speaker_wav=False, + ), +) + +MODEL_SPECS_BY_KEY = {spec.key: spec for spec in MODEL_SPECS} + + +def get_model_spec(model_key: str) -> ModelSpec: + try: + return MODEL_SPECS_BY_KEY[model_key] + except KeyError as exc: + supported = ", ".join(sorted(MODEL_SPECS_BY_KEY)) + raise ValueError(f"Unsupported model '{model_key}'. Supported models: {supported}") from exc + + +def list_model_choices() -> list[tuple[str, str]]: + return [(spec.key, spec.label) for spec in MODEL_SPECS] diff --git a/components/Universal_TTS_Finetune/utils/pipeline.py b/components/Universal_TTS_Finetune/utils/pipeline.py new file mode 100644 index 0000000..ce676de --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/pipeline.py @@ -0,0 +1,1967 @@ +from __future__ import annotations + +# Patch pkgutil.ImpImporter and importlib.machinery.FileFinder.find_module for Python 3.12 compatibility with older pkg_resources / setuptools +import pkgutil +import importlib.machinery + +if not hasattr(pkgutil, "ImpImporter"): + class DummyImpImporter: + pass + pkgutil.ImpImporter = DummyImpImporter + +if not hasattr(importlib.machinery.FileFinder, "find_module"): + def find_module_shim(self, fullname, path=None): + spec = self.find_spec(fullname, path) + return spec.loader if spec is not None else None + importlib.machinery.FileFinder.find_module = find_module_shim + +# Patch PyTorch 2.6+ to default to weights_only=False in torch.load for compatibility with older checkpoints +try: + import torch + if hasattr(torch, "load"): + original_load = torch.load + def patched_load(*args, **kwargs): + if "weights_only" not in kwargs: + kwargs["weights_only"] = False + return original_load(*args, **kwargs) + torch.load = patched_load +except ImportError: + pass + +import csv +import json +import random +import re +import shutil +import subprocess +import sys +import time +import traceback +import warnings +from dataclasses import asdict +import os +from pathlib import Path + +_PROJECT_ROOT = Path(__file__).parent.parent.resolve() +_MAIN_MODELS_DIR = _PROJECT_ROOT.parent.parent / "models" +if _MAIN_MODELS_DIR.exists() and _MAIN_MODELS_DIR.is_dir(): + _MODELS_DIR = _MAIN_MODELS_DIR +else: + _MODELS_DIR = _PROJECT_ROOT / "models" + _MODELS_DIR.mkdir(exist_ok=True) + +os.environ["HF_HOME"] = str(_MODELS_DIR) +os.environ["TTS_HOME"] = str(_MODELS_DIR) +os.environ["TORCH_HOME"] = str(_MODELS_DIR) + +_CURRENT_PROCESS: subprocess.Popen | None = None + +def register_active_process(proc: subprocess.Popen | None): + global _CURRENT_PROCESS + _CURRENT_PROCESS = proc + +def pause_training() -> str: + global _CURRENT_PROCESS + if not _CURRENT_PROCESS or _CURRENT_PROCESS.poll() is not None: + return "No training process is currently active." + try: + import signal + if hasattr(os, "killpg"): + os.killpg(os.getpgid(_CURRENT_PROCESS.pid), signal.SIGSTOP) + else: + _CURRENT_PROCESS.send_signal(signal.SIGSTOP) + return "Training process paused successfully." + except Exception as e: + return f"Error pausing training: {e}" + +def resume_training() -> str: + global _CURRENT_PROCESS + if not _CURRENT_PROCESS or _CURRENT_PROCESS.poll() is not None: + return "No training process is currently active." + try: + import signal + if hasattr(os, "killpg"): + os.killpg(os.getpgid(_CURRENT_PROCESS.pid), signal.SIGCONT) + else: + _CURRENT_PROCESS.send_signal(signal.SIGCONT) + return "Training process resumed successfully." + except Exception as e: + return f"Error resuming training: {e}" + +import numpy as np +from scipy.cluster.hierarchy import fcluster, linkage +from scipy.spatial.distance import pdist + +from typing import Any, Callable, Sequence + +import soundfile as sf +import torch +import torchaudio +from faster_whisper import WhisperModel +from TTS.api import TTS +from TTS.tts.configs.xtts_config import XttsConfig +from TTS.tts.models.xtts import Xtts +from TTS.utils.manage import ModelManager + +from utils.model_registry import MODEL_SPECS, get_model_spec, list_model_choices +from utils.tokenizer import multilingual_cleaners + +AUDIO_EXTENSIONS = {".wav", ".mp3", ".flac", ".m4a", ".ogg"} +DEFAULT_SAMPLE_RATE = 22050 +DEFAULT_EVAL_PERCENTAGE = 0.15 +DEFAULT_MIN_SEGMENT_SECONDS = 0.5 +DEFAULT_MAX_SEGMENT_SECONDS = 12.0 +DEFAULT_SEGMENT_BUFFER_SECONDS = 0.2 +DEFAULT_SHUFFLE_SEED = 0 +ERROR_LOG_TAIL_CHARS = 4000 +PUNCTUATION_ENDINGS = (".", "!", "?", "。", "!", "?") +MODEL_CACHE: dict[str, Any] = {} + +ProgressCallback = Callable[[str], None] | None + + +def _notify(progress: ProgressCallback, message: str) -> None: + print(message) + if progress: + progress(message) + + +def _json_ready(value: Any) -> Any: + if isinstance(value, Path): + return str(value) + if isinstance(value, dict): + return {key: _json_ready(item) for key, item in value.items()} + if isinstance(value, (list, tuple)): + return [_json_ready(item) for item in value] + return value + + +def _safe_name(value: str) -> str: + safe = re.sub(r"[^A-Za-z0-9._-]+", "_", value).strip("._") + return safe or "sample" + + +def _coerce_path(value: Any) -> str | None: + if value is None: + return None + if isinstance(value, Path): + return str(value) + if isinstance(value, str): + return value + if isinstance(value, dict): + for key in ("path", "name"): + candidate = value.get(key) + if candidate: + return str(candidate) + return None + candidate = getattr(value, "name", None) + if candidate: + return str(candidate) + candidate = getattr(value, "path", None) + if candidate: + return str(candidate) + return None + + +def _resolve_user_path( + value: str | Path, + *, + must_exist: bool = False, + expect_directory: bool | None = None, +) -> Path: + raw_value = str(value).strip() + if "\x00" in raw_value: + raise ValueError("Path values cannot contain null bytes.") + if not re.fullmatch(r"[\w\s./:\\-]+", raw_value): + raise ValueError(f"Unsupported characters in path: {raw_value!r}") + raw_path = Path(raw_value) + if ".." in raw_path.parts: + raise ValueError("Parent directory traversal is not allowed in path inputs.") + candidate = raw_path.expanduser() + try: + resolved = candidate.resolve(strict=must_exist) + except FileNotFoundError: + raise + if must_exist and not resolved.exists(): + raise FileNotFoundError(f"Path not found: {resolved}") + if expect_directory is True and resolved.exists() and not resolved.is_dir(): + raise NotADirectoryError(f"Expected a directory path but received: {resolved}") + if expect_directory is False and resolved.exists() and not resolved.is_file(): + raise FileNotFoundError(f"Expected a file path but received: {resolved}") + return resolved + + +def resolve_audio_files(audio_files: Sequence[Any] | None = None, audio_dir: str | None = None) -> list[str]: + resolved: list[str] = [] + if audio_dir: + directory = _resolve_user_path(audio_dir, must_exist=True, expect_directory=True) + for path in sorted(directory.rglob("*")): + if path.is_file() and path.suffix.lower() in AUDIO_EXTENSIONS: + resolved.append(str(path)) + for item in audio_files or []: + candidate = _coerce_path(item) + if not candidate: + continue + path = _resolve_user_path(candidate, must_exist=True, expect_directory=False) + if path.is_file() and path.suffix.lower() in AUDIO_EXTENSIONS: + resolved.append(str(path)) + deduplicated = [] + seen: set[str] = set() + for item in resolved: + if item not in seen: + seen.add(item) + deduplicated.append(item) + return deduplicated + + +def _load_waveform(audio_path: Path, sample_rate: int = DEFAULT_SAMPLE_RATE) -> tuple[torch.Tensor, int]: + try: + waveform, source_rate = torchaudio.load(str(audio_path)) + except (ImportError, RuntimeError): + data, source_rate = sf.read(str(audio_path), always_2d=False) + waveform = torch.tensor(data, dtype=torch.float32) + if waveform.ndim == 1: + waveform = waveform.unsqueeze(0) + else: + waveform = waveform.transpose(0, 1) + if waveform.size(0) > 1: + waveform = waveform.mean(dim=0, keepdim=True) + if source_rate != sample_rate: + waveform = torchaudio.functional.resample(waveform, source_rate, sample_rate) + source_rate = sample_rate + return waveform, source_rate + + +def _read_waveform_slice( + audio_path: Path, + start_frame: int, + num_frames: int, + target_rate: int = DEFAULT_SAMPLE_RATE, +) -> torch.Tensor: + try: + data, source_rate = sf.read( + str(audio_path), start=start_frame, frames=num_frames, always_2d=False + ) + waveform = torch.tensor(data, dtype=torch.float32) + if waveform.ndim == 1: + waveform = waveform.unsqueeze(0) + else: + waveform = waveform.transpose(0, 1) + except Exception: + waveform, source_rate = torchaudio.load( + str(audio_path), frame_offset=start_frame, num_frames=num_frames + ) + if waveform.size(0) > 1: + waveform = waveform.mean(dim=0, keepdim=True) + if source_rate != target_rate: + waveform = torchaudio.functional.resample(waveform, source_rate, target_rate) + return waveform + + +def _save_waveform(destination: Path, waveform: torch.Tensor, sample_rate: int) -> None: + tensor = waveform.detach().cpu() + try: + torchaudio.save(str(destination), tensor, sample_rate) + return + except (ImportError, RuntimeError): + pass + array = tensor.squeeze(0).numpy() + sf.write(str(destination), array, sample_rate) + + +def _load_transcript_map(transcript_file: str | None) -> dict[str, str]: + if not transcript_file: + return {} + path = _resolve_user_path(transcript_file, must_exist=True, expect_directory=False) + suffix = path.suffix.lower() + mapping: dict[str, str] = {} + if suffix == ".json": + payload = json.loads(path.read_text(encoding="utf-8")) + if isinstance(payload, dict): + iterable = payload.items() + elif isinstance(payload, list): + iterable = [] + for item in payload: + if not isinstance(item, dict): + continue + audio_key = item.get("audio") or item.get("audio_file") or item.get("path") or item.get("file") + text_value = item.get("text") or item.get("transcript") or item.get("sentence") + if audio_key and text_value: + iterable.append((audio_key, text_value)) + else: + raise ValueError("Unsupported JSON transcript format.") + for key, value in iterable: + if value: + mapping[str(key)] = str(value).strip() + else: + delimiter = "|" + if suffix == ".tsv": + delimiter = "\t" + elif suffix == ".csv": + delimiter = "," + with path.open("r", encoding="utf-8", newline="") as handle: + sample = handle.read(2048) + handle.seek(0) + try: + dialect = csv.Sniffer().sniff(sample, delimiters=",\t|") + delimiter = dialect.delimiter + except csv.Error: + pass + reader = csv.reader(handle, delimiter=delimiter) + rows = list(reader) + if not rows: + return {} + header = [cell.strip().lower() for cell in rows[0]] + data_rows = rows[1:] if {"text", "transcript", "sentence"}.intersection(header) else rows + if data_rows is rows: + header = [] + audio_index = 0 + text_index = 1 if len(rows[0]) > 1 else 0 + if header: + for idx, cell in enumerate(header): + if cell in {"audio", "audio_file", "file", "path", "filename"}: + audio_index = idx + if cell in {"text", "transcript", "sentence", "utterance"}: + text_index = idx + for row in data_rows: + if not row: + continue + if len(row) <= max(audio_index, text_index): + continue + audio_key = row[audio_index].strip() + text_value = row[text_index].strip() + if audio_key and text_value: + mapping[audio_key] = text_value + normalized: dict[str, str] = {} + for key, value in mapping.items(): + path_key = Path(key) + normalized[str(path_key)] = value + normalized[path_key.name] = value + normalized[path_key.stem] = value + return normalized + + +def _lookup_transcript(audio_path: Path, transcript_map: dict[str, str]) -> str | None: + keys = (str(audio_path), audio_path.name, audio_path.stem) + for key in keys: + if key in transcript_map: + return transcript_map[key] + return None + + +def _clean_text(text: str, language: str) -> str: + text = re.sub(r"\s+", " ", text or "").strip() + if not text: + return "" + try: + cleaned = multilingual_cleaners(text, language) + cleaned = re.sub(r"\s+", " ", cleaned or "").strip() + return cleaned or text + except Exception: + return text + + +def _extract_transcribed_words(segments: Sequence[Any]) -> list[Any]: + words: list[Any] = [] + for segment in segments: + words.extend(getattr(segment, "words", None) or []) + return words + + +def _write_metadata_files( + entries: list[dict[str, Any]], + dataset_dir: Path, + eval_percentage: float, + shuffle_seed: int, +) -> dict[str, str]: + metadata_path = dataset_dir / "metadata.csv" + shuffled_path = dataset_dir / "metadata_shuf.csv" + train_path = dataset_dir / "metadata_train.csv" + val_path = dataset_dir / "metadata_val.csv" + + rows = [f"{item['id']}|{item['text']}|{item['original_text']}" for item in entries] + metadata_path.write_text("\n".join(rows) + ("\n" if rows else ""), encoding="utf-8") + + shuffled_entries = list(entries) + random.Random(shuffle_seed).shuffle(shuffled_entries) + shuffled_rows = [f"{item['id']}|{item['text']}|{item['original_text']}" for item in shuffled_entries] + shuffled_path.write_text("\n".join(shuffled_rows) + ("\n" if shuffled_rows else ""), encoding="utf-8") + + if len(shuffled_entries) <= 1: + train_entries = shuffled_entries + val_entries: list[dict[str, Any]] = [] + else: + val_count = max(1, int(round(len(shuffled_entries) * eval_percentage))) + val_count = min(val_count, len(shuffled_entries) - 1) + train_entries = shuffled_entries[:-val_count] + val_entries = shuffled_entries[-val_count:] + + train_rows = [f"{item['id']}|{item['text']}|{item['original_text']}" for item in train_entries] + val_rows = [f"{item['id']}|{item['text']}|{item['original_text']}" for item in val_entries] + train_path.write_text("\n".join(train_rows) + ("\n" if train_rows else ""), encoding="utf-8") + val_path.write_text("\n".join(val_rows) + ("\n" if val_rows else ""), encoding="utf-8") + + return { + "metadata": str(metadata_path), + "metadata_shuf": str(shuffled_path), + "metadata_train": str(train_path), + "metadata_val": str(val_path), + } + + +def _extract_speaker_embeddings_pyannote(entries: list[dict[str, Any]], progress: ProgressCallback = None) -> np.ndarray: + """Extracts speaker embeddings using pyannote's wespeaker-voxceleb-resnet34-LM model.""" + from pyannote.audio import Model, Inference + import torch + import numpy as np + + _notify(progress, "Loading pyannote/wespeaker-voxceleb-resnet34-LM speaker model...") + model = Model.from_pretrained('pyannote/wespeaker-voxceleb-resnet34-LM') + if torch.cuda.is_available(): + model = model.cuda() + elif torch.backends.mps.is_available(): + try: + model = model.to("mps") + except Exception: + pass + + inference = Inference(model, window="whole") + + embeddings = [] + for i, entry in enumerate(entries): + if i % 10 == 0: + _notify(progress, f"Extracting voice blueprints: {i}/{len(entries)}") + emb = inference(entry["audio_path"]) + embeddings.append(emb) + + return np.array(embeddings) + + +def format_timestamp(seconds: float) -> str: + hours = int(seconds // 3600) + minutes = int((seconds % 3600) // 60) + secs = int(seconds % 60) + millis = int(round((seconds - int(seconds)) * 1000)) + return f"{hours:02d}:{minutes:02d}:{secs:02d}.{millis:03d}" + + +def align_audio_and_text_to_vtt( + audio_path: Path, + text_path: Path, + language: str, + output_vtt_path: Path, + progress: ProgressCallback = None, + auto_split_sentences: bool = True, +) -> None: + from uroman import Uroman + from torchaudio.pipelines import MMS_FA as bundle + import re + + _notify(progress, f"Reading transcript from {text_path.name}...") + raw_text = text_path.read_text(encoding="utf-8", errors="ignore") + if auto_split_sentences: + _notify(progress, "Auto-splitting transcript into sentences...") + paragraphs = [p.strip() for p in raw_text.splitlines() if p.strip()] + lines = [] + for para in paragraphs: + sentence_splits = re.split(r'(?<=[.!?])\s+|(?<=[.!?]["”\'’»」])\s+', para) + for s in sentence_splits: + s_clean = s.strip() + if s_clean: + lines.append(s_clean) + _notify(progress, f"Split transcript into {len(lines)} sentences for alignment.") + else: + lines = [line.strip() for line in raw_text.splitlines() if line.strip()] + + if not lines: + raise ValueError(f"The transcript file {text_path.name} is empty.") + + _notify(progress, f"Loading and preprocessing audio: {audio_path.name}...") + waveform, sample_rate = _load_waveform(audio_path, sample_rate=16000) + duration_seconds = waveform.shape[-1] / sample_rate + + # Safety: if audio is longer than 10 minutes, run on CPU to avoid GPU OOM + if duration_seconds > 600: + device = torch.device("cpu") + _notify(progress, f"Audio is long ({duration_seconds:.1f}s). Running alignment on CPU to prevent Out-Of-Memory...") + else: + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + _notify(progress, f"Running alignment on {device}...") + + _notify(progress, f"Loading MMS Forced Alignment model...") + model = bundle.get_model(with_star=False).to(device) + tokenizer = bundle.get_tokenizer() + aligner = bundle.get_aligner() + + waveform = waveform.to(device) + + _notify(progress, f"Romanizing and cleaning transcript words...") + u = Uroman() + + line_word_maps = [] + all_words = [] + cleaned_words = [] + + for line_idx, line in enumerate(lines): + line_text = re.sub(r"\s+", " ", line).strip() + if not line_text: + continue + words = line_text.split() + if not words: + continue + + start_idx = len(all_words) + for w in words: + all_words.append((w, line_text)) + rom_w = u.romanize_string(w) + w_clean = rom_w.lower() + w_clean = re.sub("([^a-z' ])", "", w_clean).strip() + if not w_clean: + w_clean = "a" # Fallback for punctuation-only words + cleaned_words.append(w_clean) + end_idx = len(all_words) + line_word_maps.append({ + "line_idx": line_idx, + "text": line_text, + "start_word_idx": start_idx, + "end_word_idx": end_idx, + }) + + if not cleaned_words: + raise ValueError("No clean words found in transcript to align.") + + _notify(progress, f"Tokenizing transcript...") + tokens = tokenizer(cleaned_words) + + _notify(progress, f"Running acoustic model...") + with torch.inference_mode(): + emission, _ = model(waveform) + emission = emission.squeeze(0) + + _notify(progress, f"Computing forced alignment...") + try: + spans = aligner(emission, tokens) + except Exception as e: + raise RuntimeError(f"Forced alignment failed: {e}. Please check if the audio matches the text.") + + frame_duration = 0.02 + word_timestamps = [] + for word_idx, span_list in enumerate(spans): + if not span_list: + word_timestamps.append((0.0, 0.0)) + continue + w_start = span_list[0].start * frame_duration + w_end = span_list[-1].end * frame_duration + word_timestamps.append((w_start, w_end)) + + # Construct WebVTT lines + vtt_lines = ["WEBVTT\n"] + for mapping in line_word_maps: + start_w = mapping["start_word_idx"] + end_w = mapping["end_word_idx"] + + sentence_word_timestamps = word_timestamps[start_w:end_w] + valid_timestamps = [t for t in sentence_word_timestamps if t != (0.0, 0.0)] + + if valid_timestamps: + s_start = min(t[0] for t in valid_timestamps) + s_end = max(t[1] for t in valid_timestamps) + else: + s_start = (start_w / len(word_timestamps)) * duration_seconds + s_end = (end_w / len(word_timestamps)) * duration_seconds + + if s_end <= s_start: + s_end = s_start + 1.0 + + start_str = format_timestamp(s_start) + end_str = format_timestamp(s_end) + + vtt_lines.append(f"{start_str} --> {end_str}\n{mapping['text']}\n") + + _notify(progress, f"Writing WebVTT file to {output_vtt_path.name}...") + output_vtt_path.write_text("\n".join(vtt_lines) + "\n", encoding="utf-8") + + +def prepare_dataset( + *, + output_root: str, + audio_files: Sequence[Any] | None = None, + audio_dir: str | None = None, + transcript_file: str | None = None, + language: str = "en", + whisper_model_name: str = "small", + eval_percentage: float = DEFAULT_EVAL_PERCENTAGE, + shuffle_seed: int = DEFAULT_SHUFFLE_SEED, + min_segment_seconds: float = DEFAULT_MIN_SEGMENT_SECONDS, + max_segment_seconds: float = DEFAULT_MAX_SEGMENT_SECONDS, + segment_buffer_seconds: float = DEFAULT_SEGMENT_BUFFER_SECONDS, + diarize_speakers: bool = False, + expected_speakers: int = 0, + diarize_threshold: float = 0.3, + auto_split_sentences: bool = True, + dataset_name: str = "LJSpeech-1.1", + progress: ProgressCallback = None, +) -> dict[str, Any]: + output_root_path = _resolve_user_path(output_root, expect_directory=True) + dataset_name = dataset_name or "LJSpeech-1.1" + dataset_dir = output_root_path / "dataset" / dataset_name + wavs_dir = dataset_dir / "wavs" + + resolved_audio_files = resolve_audio_files(audio_files, audio_dir) + if not resolved_audio_files: + raise ValueError("No audio files found. Provide files directly or point to a folder that contains audio.") + if dataset_dir.exists(): + shutil.rmtree(dataset_dir) + wavs_dir.mkdir(parents=True, exist_ok=True) + + # Check if transcript_file is a VTT file or needs forced alignment globally + global_is_vtt = False + global_vtt_path = None + if transcript_file: + resolved_transcript_path = _resolve_user_path(transcript_file, must_exist=True, expect_directory=False) + suffix = resolved_transcript_path.suffix.lower() + if suffix == ".vtt": + global_is_vtt = True + global_vtt_path = resolved_transcript_path + elif suffix == ".txt": + is_mapping = False + try: + sample = resolved_transcript_path.read_text(encoding="utf-8", errors="ignore")[:4096] + lines_sample = [l.strip() for l in sample.splitlines() if l.strip()] + if lines_sample: + for delim in ("|", "\t", ","): + consistent = True + has_delim_count = 0 + for line in lines_sample[:10]: + if delim not in line: + consistent = False + break + has_delim_count += 1 + part1 = line.split(delim, 1)[0].strip() + if " " in part1 or part1.startswith(("“", "\"", "\x27", "‘")) or len(part1) > 100 or not part1: + consistent = False + break + if consistent and has_delim_count > 0: + is_mapping = True + break + except Exception: + pass + + if not is_mapping: + temp_vtt_dir = output_root_path / "temp" + temp_vtt_dir.mkdir(parents=True, exist_ok=True) + global_vtt_path = temp_vtt_dir / f"{resolved_transcript_path.stem}_aligned.vtt" + + if len(resolved_audio_files) != 1: + raise ValueError( + f"Forced alignment requires exactly 1 audio file (e.g. the full audiobook chapter), " + f"but found {len(resolved_audio_files)} audio files." + ) + + _notify(progress, f"Starting forced alignment between {Path(resolved_audio_files[0]).name} and {resolved_transcript_path.name}...") + align_audio_and_text_to_vtt( + audio_path=Path(resolved_audio_files[0]), + text_path=resolved_transcript_path, + language=language, + output_vtt_path=global_vtt_path, + progress=progress, + auto_split_sentences=auto_split_sentences, + ) + global_is_vtt = True + + transcript_map = {} if (global_is_vtt or not transcript_file) else _load_transcript_map(transcript_file) + + # Check if Whisper is needed for any of the files in the batch + use_whisper = False + if not transcript_file: + for audio_file in resolved_audio_files: + audio_path = Path(audio_file).expanduser().resolve() + if not audio_path.with_suffix(".vtt").exists() and not audio_path.with_suffix(".txt").exists(): + use_whisper = True + break + else: + use_whisper = not transcript_map and not global_is_vtt + + asr_model: WhisperModel | None = None + if use_whisper: + device = "cuda" if torch.cuda.is_available() else "cpu" + compute_type = "float16" if torch.cuda.is_available() else "float32" + _notify(progress, f"Loading Whisper model '{whisper_model_name}' on {device}...") + asr_model = WhisperModel(whisper_model_name, device=device, compute_type=compute_type, download_root=str(_MODELS_DIR)) + + entries: list[dict[str, Any]] = [] + total_seconds = 0.0 + longest_entry: dict[str, Any] | None = None + + for index, audio_file in enumerate(resolved_audio_files, start=1): + audio_path = Path(audio_file).expanduser().resolve() + _notify(progress, f"Processing {index}/{len(resolved_audio_files)}: {audio_path.name}") + base_name = _safe_name(audio_path.stem) + + # 1. Determine if VTT is available first (either passed directly or as a local file) + local_is_vtt = False + local_vtt_path = None + + if transcript_file: + if global_is_vtt: + local_is_vtt = True + local_vtt_path = global_vtt_path + else: + # Check for local files in the same directory with matching base name + vtt_cand = audio_path.with_suffix(".vtt") + txt_cand = audio_path.with_suffix(".txt") + if vtt_cand.exists(): + local_is_vtt = True + local_vtt_path = vtt_cand + _notify(progress, f"Found local VTT transcript: {vtt_cand.name}") + elif txt_cand.exists(): + _notify(progress, f"Found local TXT transcript: {txt_cand.name}. Starting forced alignment...") + temp_vtt_dir = output_root_path / "temp" + temp_vtt_dir.mkdir(parents=True, exist_ok=True) + local_vtt_path = temp_vtt_dir / f"{audio_path.stem}_aligned.vtt" + align_audio_and_text_to_vtt( + audio_path=audio_path, + text_path=txt_cand, + language=language, + output_vtt_path=local_vtt_path, + progress=progress, + auto_split_sentences=auto_split_sentences, + ) + local_is_vtt = True + else: + _notify(progress, f"⚠️ No matching VTT or TXT found for {audio_path.name}. Whisper will be used to transcribe.") + + # 2. Get audio metadata and optionally convert to temporary WAV for fast seeking + temp_wav_path = None + try: + if local_is_vtt and audio_path.suffix.lower() != ".wav": + temp_wav_dir = output_root_path / "temp" + temp_wav_dir.mkdir(parents=True, exist_ok=True) + temp_wav_path = temp_wav_dir / f"temp_seek_{base_name}.wav" + + _notify(progress, f"Converting {audio_path.name} to temporary WAV for fast O(1) seeking...") + cmd = [ + "ffmpeg", "-y", + "-i", str(audio_path), + "-ac", "1", + "-ar", str(DEFAULT_SAMPLE_RATE), + str(temp_wav_path) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, check=True) + search_path = temp_wav_path + else: + search_path = audio_path + + # 3. Get audio metadata (sample rate and duration) without loading the full waveform if possible + try: + info = sf.info(str(search_path)) + original_sample_rate = info.samplerate + original_num_frames = info.frames + total_duration = info.duration + except Exception: + try: + info = torchaudio.info(str(search_path)) + original_sample_rate = info.sample_rate + original_num_frames = info.num_frames + total_duration = original_num_frames / original_sample_rate + except Exception: + # Absolute fallback: load full waveform to get duration + waveform, sample_rate = _load_waveform(search_path) + original_sample_rate = sample_rate + original_num_frames = waveform.shape[-1] + total_duration = original_num_frames / original_sample_rate + + total_seconds += total_duration + + # 4. Memory-efficient slicing if VTT alignment exists (no full-audio loading) + if local_is_vtt: + _notify(progress, f"Slicing audio with VTT transcript file: {local_vtt_path.name}...") + vtt_content = local_vtt_path.read_text(encoding="utf-8", errors="ignore") + pattern = r"((?:\d{2}:)?\d{2}:\d{2}\.\d{3})\s+-->\s+((?:\d{2}:)?\d{2}:\d{2}\.\d{3})\n(.*?)(?=\n\n|\Z|\n\d|\n\[)" + matches = re.findall(pattern, vtt_content, re.DOTALL) + + for clip_index, (start_str, end_str, text_val) in enumerate(matches): + def to_secs(t_str): + parts = t_str.split(":") + if len(parts) == 3: + return float(parts[0]) * 3600 + float(parts[1]) * 60 + float(parts[2]) + elif len(parts) == 2: + return float(parts[0]) * 60 + float(parts[1]) + return float(parts[0]) + + sentence_start = max(to_secs(start_str) - segment_buffer_seconds, 0.0) + clip_end = min(to_secs(end_str) + segment_buffer_seconds, total_duration) + duration_seconds = clip_end - sentence_start + sentence_text = re.sub(r"\s+", " ", text_val).strip() + cleaned = _clean_text(sentence_text, language) + + if cleaned and duration_seconds >= min_segment_seconds: + sample_id = f"{base_name}_{clip_index:08d}" + destination = wavs_dir / f"{sample_id}.wav" + start_frame = max(0, int(sentence_start * original_sample_rate)) + end_frame = min(original_num_frames, int(clip_end * original_sample_rate)) + num_frames_to_read = end_frame - start_frame + + if num_frames_to_read >= int(min_segment_seconds * original_sample_rate): + clip = _read_waveform_slice(search_path, start_frame, num_frames_to_read, target_rate=DEFAULT_SAMPLE_RATE) + if clip.shape[-1] >= int(min_segment_seconds * DEFAULT_SAMPLE_RATE): + _save_waveform(destination, clip, DEFAULT_SAMPLE_RATE) + entry = { + "id": sample_id, + "text": cleaned, + "original_text": sentence_text, + "audio_path": str(destination), + "duration_seconds": duration_seconds, + } + entries.append(entry) + if longest_entry is None or duration_seconds > longest_entry["duration_seconds"]: + longest_entry = entry + continue + + # 5. Only load the full waveform for non-VTT routes (e.g. Whisper transcription) + waveform, sample_rate = _load_waveform(search_path) + finally: + if temp_wav_path and temp_wav_path.exists(): + try: + temp_wav_path.unlink() + except Exception: + pass + + if transcript_map: + transcript = _lookup_transcript(audio_path, transcript_map) + if not transcript: + raise ValueError(f"Missing transcript for {audio_path.name}") + cleaned = _clean_text(transcript, language) + sample_id = base_name + destination = wavs_dir / f"{sample_id}.wav" + suffix = 1 + while destination.exists(): + sample_id = f"{base_name}_{suffix:02d}" + destination = wavs_dir / f"{sample_id}.wav" + suffix += 1 + _save_waveform(destination, waveform, sample_rate) + entry = { + "id": sample_id, + "text": cleaned, + "original_text": transcript.strip(), + "audio_path": str(destination), + "duration_seconds": total_duration, + } + entries.append(entry) + if longest_entry is None or entry["duration_seconds"] > longest_entry["duration_seconds"]: + longest_entry = entry + continue + + assert asr_model is not None + segments, _ = asr_model.transcribe( + str(audio_path), + language=language, + vad_filter=True, + word_timestamps=True, + condition_on_previous_text=False, + ) + words = _extract_transcribed_words(segments) + if not words: + _notify(progress, f"Warning: Whisper did not return timestamped words for {audio_path.name}. Skipping this file.") + continue + + clip_index = 0 + sentence_words: list[Any] = [] + sentence_start: float | None = None + for word_index, word in enumerate(words): + if sentence_start is None: + sentence_start = max(float(word.start) - segment_buffer_seconds, 0.0) + sentence_words.append(word) + current_duration = float(word.end) - sentence_start + at_end = word_index == len(words) - 1 + text_fragment = "".join(item.word for item in sentence_words).strip() + ends_sentence = text_fragment.endswith(PUNCTUATION_ENDINGS) + should_flush = at_end or ends_sentence or current_duration >= max_segment_seconds + if not should_flush: + continue + + clip_end = min(float(word.end) + segment_buffer_seconds, total_duration) + sentence_text = re.sub(r"\s+", " ", "".join(item.word for item in sentence_words)).strip() + cleaned = _clean_text(sentence_text, language) + duration_seconds = clip_end - sentence_start + if cleaned and duration_seconds >= min_segment_seconds: + # Guard against Whisper hallucination loops & excessive speed + cps = len(cleaned) / duration_seconds if duration_seconds > 0 else 0 + + def has_loops(text): + w_list = text.lower().split() + for idx in range(len(w_list) - 3): + if w_list[idx] == w_list[idx+1] == w_list[idx+2]: + return True + if w_list[idx:idx+2] == w_list[idx+2:idx+4] == w_list[idx+4:idx+6]: + return True + return False + + is_hallucination = cps > 28.0 or has_loops(cleaned) + + if not is_hallucination: + sample_id = f"{base_name}_{clip_index:08d}" + destination = wavs_dir / f"{sample_id}.wav" + start_frame = max(0, int(sentence_start * sample_rate)) + end_frame = min(waveform.shape[-1], int(clip_end * sample_rate)) + clip = waveform[:, start_frame:end_frame] + if clip.shape[-1] >= int(min_segment_seconds * sample_rate): + _save_waveform(destination, clip, sample_rate) + entry = { + "id": sample_id, + "text": cleaned, + "original_text": sentence_text, + "audio_path": str(destination), + "duration_seconds": duration_seconds, + } + entries.append(entry) + if longest_entry is None or duration_seconds > longest_entry["duration_seconds"]: + longest_entry = entry + clip_index += 1 + else: + _notify(progress, f"Filtered out segment due to Whisper loop/hallucination detection (CPS: {cps:.1f})") + sentence_words = [] + sentence_start = None + + if not entries: + raise ValueError("No usable training samples were created from the provided audio.") + + if diarize_speakers and len(entries) > 1: + _notify(progress, "Starting speaker diarization clustering...") + try: + embeddings_array = _extract_speaker_embeddings_pyannote(entries, progress) + dist_matrix = pdist(embeddings_array, metric='cosine') + # Use 'average' linkage which is more robust to outliers than 'complete' linkage + Z = linkage(dist_matrix, method='average') + if expected_speakers > 0: + labels = fcluster(Z, expected_speakers, criterion='maxclust') + else: + labels = fcluster(Z, t=diarize_threshold, criterion='distance') + + from collections import defaultdict + clusters = defaultdict(list) + for label, entry in zip(labels, entries): + clusters[label].append(entry) + + sorted_clusters = sorted(clusters.values(), key=lambda c: sum(e["duration_seconds"] for e in c), reverse=True) + _notify(progress, f"Found {len(sorted_clusters)} distinct speakers.") + + # Create sub-datasets + primary_dataset_info = None + all_speakers = [] + for idx, cluster_entries in enumerate(sorted_clusters, start=1): + speaker_dataset_dir = output_root_path / "dataset" / f"{dataset_name}_Speaker_{idx}" + speaker_wavs_dir = speaker_dataset_dir / "wavs" + if speaker_dataset_dir.exists(): + shutil.rmtree(speaker_dataset_dir) + speaker_wavs_dir.mkdir(parents=True, exist_ok=True) + + # Copy wavs + for entry in cluster_entries: + new_wav_path = speaker_wavs_dir / Path(entry["audio_path"]).name + shutil.copy2(entry["audio_path"], new_wav_path) + entry["audio_path"] = str(new_wav_path) + + speaker_metadata = _write_metadata_files(cluster_entries, speaker_dataset_dir, eval_percentage, shuffle_seed) + (speaker_dataset_dir / "lang.txt").write_text(f"{language}\n", encoding="utf-8") + + speaker_longest = max(cluster_entries, key=lambda e: e["duration_seconds"]) + speaker_info = { + "dataset_dir": str(speaker_dataset_dir), + "wavs_dir": str(speaker_wavs_dir), + "language": language, + "sample_rate": DEFAULT_SAMPLE_RATE, + "input_audio_count": len(resolved_audio_files), + "created_sample_count": len(cluster_entries), + "total_audio_seconds": round(sum(e["duration_seconds"] for e in cluster_entries), 2), + "reference_wav": speaker_longest["audio_path"], + **speaker_metadata, + } + info_path = speaker_dataset_dir / "dataset_info.json" + info_path.write_text(json.dumps(_json_ready(speaker_info), indent=2), encoding="utf-8") + speaker_info["dataset_info"] = str(info_path) + + all_speakers.append(speaker_info) + if idx == 1: + primary_dataset_info = speaker_info + + # We preserve the original mixed dataset so that it can be re-diarized later + # shutil.rmtree(dataset_dir) + + primary_dataset_info["all_speakers"] = all_speakers + _notify(progress, f"Diarization complete! Found {len(all_speakers)} speaker(s). Returning Speaker 1 dataset ({primary_dataset_info['total_audio_seconds']} seconds).") + return primary_dataset_info + + except Exception as e: + _notify(progress, f"Diarization failed: {e}. Falling back to mixed dataset.") + traceback.print_exc() + + # Fallback / Non-diarized path + metadata_files = _write_metadata_files(entries, dataset_dir, eval_percentage, shuffle_seed) + (dataset_dir / "lang.txt").write_text(f"{language}\n", encoding="utf-8") + + dataset_info = { + "dataset_dir": str(dataset_dir), + "wavs_dir": str(wavs_dir), + "language": language, + "sample_rate": DEFAULT_SAMPLE_RATE, + "input_audio_count": len(resolved_audio_files), + "created_sample_count": len(entries), + "total_audio_seconds": round(total_seconds, 2), + "reference_wav": longest_entry["audio_path"] if longest_entry else "", + **metadata_files, + } + info_path = dataset_dir / "dataset_info.json" + info_path.write_text(json.dumps(_json_ready(dataset_info), indent=2), encoding="utf-8") + dataset_info["dataset_info"] = str(info_path) + _notify(progress, f"Dataset creation complete! Created {dataset_info['created_sample_count']} samples.") + return dataset_info + + +def re_diarize_dataset( + *, + dataset_dir: str, + expected_speakers: int = 0, + diarize_threshold: float = 0.35, + eval_percentage: float = DEFAULT_EVAL_PERCENTAGE, + shuffle_seed: int = DEFAULT_SHUFFLE_SEED, + progress: ProgressCallback = None, +) -> dict[str, Any]: + dataset_path = Path(dataset_dir).expanduser().resolve() + if not dataset_path.exists() or not dataset_path.is_dir(): + raise ValueError(f"Dataset directory not found: {dataset_path}") + + wavs_dir = dataset_path / "wavs" + if not wavs_dir.exists() or not wavs_dir.is_dir(): + raise ValueError(f"Wavs directory not found inside dataset: {wavs_dir}") + + metadata_path = dataset_path / "metadata.csv" + if not metadata_path.exists(): + raise ValueError(f"metadata.csv not found in dataset: {metadata_path}") + + # Read language from lang.txt if available + language = "en" + lang_file = dataset_path / "lang.txt" + if lang_file.exists(): + language = lang_file.read_text(encoding="utf-8").strip() + + # Parse metadata.csv + entries = [] + with metadata_path.open("r", encoding="utf-8") as f: + for line in f: + line = line.strip() + if not line: + continue + parts = line.split("|") + if len(parts) >= 2: + sample_id = parts[0] + text = parts[1] + original_text = parts[2] if len(parts) > 2 else text + audio_path = wavs_dir / f"{sample_id}.wav" + if audio_path.exists(): + import soundfile as sf + info = sf.info(str(audio_path)) + duration_seconds = info.duration + entries.append({ + "id": sample_id, + "text": text, + "original_text": original_text, + "audio_path": str(audio_path), + "duration_seconds": duration_seconds, + }) + + if not entries: + raise ValueError("No valid audio clips found in metadata.csv") + + _notify(progress, f"Loaded {len(entries)} clips from metadata.csv. Starting diarization clustering...") + + embeddings_array = _extract_speaker_embeddings_pyannote(entries, progress) + dist_matrix = pdist(embeddings_array, metric='cosine') + Z = linkage(dist_matrix, method='average') + if expected_speakers > 0: + labels = fcluster(Z, expected_speakers, criterion='maxclust') + else: + labels = fcluster(Z, t=diarize_threshold, criterion='distance') + + from collections import defaultdict + clusters = defaultdict(list) + for label, entry in zip(labels, entries): + clusters[label].append(entry) + + sorted_clusters = sorted(clusters.values(), key=lambda c: sum(e["duration_seconds"] for e in c), reverse=True) + _notify(progress, f"Found {len(sorted_clusters)} distinct speakers.") + + # Determine base name of dataset by stripping _Speaker_X + base_name = dataset_path.name + base_name = re.sub(r"_Speaker_\d+$", "", base_name) + + # Create sub-datasets + primary_dataset_info = None + all_speakers = [] + for idx, cluster_entries in enumerate(sorted_clusters, start=1): + speaker_dataset_dir = dataset_path.parent / f"{base_name}_Speaker_{idx}" + speaker_wavs_dir = speaker_dataset_dir / "wavs" + if speaker_dataset_dir.exists(): + shutil.rmtree(speaker_dataset_dir) + speaker_wavs_dir.mkdir(parents=True, exist_ok=True) + + # Copy wavs + for entry in cluster_entries: + new_wav_path = speaker_wavs_dir / Path(entry["audio_path"]).name + shutil.copy2(entry["audio_path"], new_wav_path) + entry["audio_path"] = str(new_wav_path) + + speaker_metadata = _write_metadata_files(cluster_entries, speaker_dataset_dir, eval_percentage, shuffle_seed) + (speaker_dataset_dir / "lang.txt").write_text(f"{language}\n", encoding="utf-8") + + speaker_longest = max(cluster_entries, key=lambda e: e["duration_seconds"]) + speaker_info = { + "dataset_dir": str(speaker_dataset_dir), + "wavs_dir": str(speaker_wavs_dir), + "language": language, + "sample_rate": DEFAULT_SAMPLE_RATE, + "input_audio_count": 1, + "created_sample_count": len(cluster_entries), + "total_audio_seconds": round(sum(e["duration_seconds"] for e in cluster_entries), 2), + "reference_wav": speaker_longest["audio_path"], + **speaker_metadata, + } + info_path = speaker_dataset_dir / "dataset_info.json" + info_path.write_text(json.dumps(_json_ready(speaker_info), indent=2), encoding="utf-8") + speaker_info["dataset_info"] = str(info_path) + + all_speakers.append(speaker_info) + if idx == 1: + primary_dataset_info = speaker_info + + primary_dataset_info["all_speakers"] = all_speakers + _notify(progress, f"Re-diarization complete! Found {len(all_speakers)} speaker(s). Returning Speaker 1 dataset ({primary_dataset_info['total_audio_seconds']} seconds).") + return primary_dataset_info + + + +def _replace_literal(source: str, old: str, new: str) -> str: + return source.replace(old, new) if old in source else source + + +def _replace_keyword_value(source: str, keyword: str, value: str) -> str: + patterns = [ + rf"(?P\b{re.escape(keyword)}\s*=\s*)(?P[^,\n\)]+)", + rf"(?P^{re.escape(keyword)}\s*=\s*)(?P.+)$", + ] + flags = [re.MULTILINE, re.MULTILINE] + for pattern, flag in zip(patterns, flags): + source, count = re.subn(pattern, rf"\g{value}", source, count=1, flags=flag) + if count: + break + return source + + +def _apply_source_overrides(source: str, overrides: dict[str, Any]) -> tuple[str, list[str]]: + unused: list[str] = [] + for key, value in overrides.items(): + rendered = repr(value) if isinstance(value, str) else json.dumps(value) + updated = _replace_keyword_value(source, key, rendered) + if updated == source: + unused.append(key) + source = updated + return source, unused + + +def _prepare_workspace(spec_key: str, dataset_dir: Path, training_root: Path) -> tuple[Path, Path]: + spec = get_model_spec(spec_key) + workspace_root = training_root / "workspace" + recipe_target_dir = workspace_root / "recipes" / "ljspeech" / spec.recipe_dir + dataset_target_dir = workspace_root / "recipes" / "ljspeech" / "LJSpeech-1.1" + if workspace_root.exists(): + shutil.rmtree(workspace_root) + recipe_target_dir.parent.mkdir(parents=True, exist_ok=True) + shutil.copytree(spec.recipe_path, recipe_target_dir) + shutil.copytree(dataset_dir, dataset_target_dir) + return workspace_root, recipe_target_dir / spec.train_script + + +def _download_restore_path(spec_key: str, use_pretrained: bool, restore_path: str | None, progress: ProgressCallback) -> str | None: + spec = get_model_spec(spec_key) + if restore_path: + return str(_resolve_user_path(restore_path, must_exist=True, expect_directory=False)) + if spec.family == "xtts": + _notify(progress, f"{spec.label} already downloads its official base checkpoint inside the recipe.") + return None + if not use_pretrained or not spec.official_model_id: + return None + _notify(progress, f"Downloading base checkpoint for {spec.label}...") + model_path, _, _ = ModelManager(progress_bar=True).download_model(spec.official_model_id) + return model_path + + +def _resolve_xtts_base_model(spec_key: str) -> dict[str, str] | str: + """ + Finds the 4 base model files for XTTS (v1 or v2) in the models directory. + If all 4 files are found, returns a dict with keys: + - 'dvae_checkpoint' + - 'mel_norm_file' + - 'tokenizer_file' + - 'xtts_checkpoint' + pointing to their absolute paths. + + If not found, returns the path of a shared folder to download them to. + """ + version_str = "v2.0" if spec_key == "xtts_v2" else "v1.1" + folder_name = f"XTTS_{version_str}_original_model_files" + + # Determine the shared download path + if (_MODELS_DIR / "tts").is_dir(): + shared_dir = _MODELS_DIR / "tts" / folder_name + else: + shared_dir = _MODELS_DIR / folder_name + + # List of candidate directories to search for existing files + candidates = [] + + # Check if the shared directory already has them + candidates.append(shared_dir) + + # Check HuggingFace cache style folders under both models/ and models/tts/ + hf_repo_name = "models--coqui--XTTS-v2" if spec_key == "xtts_v2" else "models--coqui--XTTS-v1" + for base in [_MODELS_DIR, _MODELS_DIR / "tts", _PROJECT_ROOT / "models"]: + hf_dir = base / hf_repo_name / "snapshots" + if hf_dir.is_dir(): + try: + for sub in hf_dir.iterdir(): + if sub.is_dir(): + candidates.append(sub) + except Exception: + pass + + # Check simple folder candidates + for base in [_MODELS_DIR, _MODELS_DIR / "tts", _PROJECT_ROOT / "models"]: + candidates.append(base / folder_name) + + # Search candidates for the 4 required files + for cand in candidates: + if not cand.is_dir(): + continue + dvae = cand / "dvae.pth" + mel = cand / "mel_stats.pth" + vocab = cand / "vocab.json" + model = cand / "model.pth" + if dvae.is_file() and mel.is_file() and vocab.is_file() and model.is_file(): + return { + "dvae_checkpoint": str(dvae.resolve()), + "mel_norm_file": str(mel.resolve()), + "tokenizer_file": str(vocab.resolve()), + "xtts_checkpoint": str(model.resolve()) + } + + # If not found, make sure the shared download directory exists and return it + shared_dir.mkdir(parents=True, exist_ok=True) + return str(shared_dir.resolve()) + + +def _patch_recipe_script( + script_path: Path, + *, + spec_key: str, + dataset_dir: Path, + language: str, + epochs: int, + batch_size: int, + grad_accum: int, + max_audio_seconds: int, + restore_path: str | None, + extra_overrides: dict[str, Any], + reference_wav: str, +) -> list[str]: + source = script_path.read_text(encoding="utf-8") + dataset_str = str(dataset_dir) + wavs_str = str(dataset_dir / "wavs") + + source = _replace_literal(source, 'path=os.path.join(output_path, "../LJSpeech-1.1/")', f'path=r"{dataset_str}"') + source = _replace_literal(source, 'path="/raid/datasets/LJSpeech-1.1_24khz/"', f'path=r"{dataset_str}"') + source = _replace_literal( + source, + 'meta_file_train="/raid/datasets/LJSpeech-1.1_24khz/metadata.csv"', + f'meta_file_train=r"{dataset_str}/metadata.csv"', + ) + source = _replace_literal(source, 'data_path = ""', f'data_path = r"{dataset_str}"') + source = _replace_literal( + source, + 'data_path=os.path.join(output_path, "../LJSpeech-1.1/wavs/")', + f'data_path=r"{wavs_str}"', + ) + source = _replace_literal(source, 'python TTS/bin/compute_attention_masks.py', 'python -m TTS.bin.compute_attention_masks') + if not torch.cuda.is_available(): + source = source.replace('--use_cuda"', '"') + source = source.replace('--use_cuda\'"', '\'"') + + source = _replace_keyword_value(source, "batch_size", str(batch_size)) + source = _replace_keyword_value(source, "eval_batch_size", str(batch_size)) + source = _replace_keyword_value(source, "epochs", str(epochs)) + source = _replace_keyword_value(source, "BATCH_SIZE", str(batch_size)) + source = _replace_keyword_value(source, "GRAD_ACUMM_STEPS", str(grad_accum)) + source = _replace_keyword_value(source, "max_wav_length", str(int(max_audio_seconds * DEFAULT_SAMPLE_RATE))) + source = _replace_keyword_value(source, "num_loader_workers", "0") + source = _replace_keyword_value(source, "num_eval_loader_workers", "0") + source = _replace_keyword_value(source, "mixed_precision", "False") + + spec = get_model_spec(spec_key) + # Patch for multilingual/scratch training on single-language models + if not spec.supports_language and language != "en": + for q in ['"', "'"]: + source = source.replace(f'text_cleaner={q}english_cleaners{q}', f'text_cleaner={q}multilingual_cleaners{q}') + source = source.replace(f'text_cleaner={q}phoneme_cleaners{q}', f'text_cleaner={q}multilingual_cleaners{q}') + source = source.replace(f'phoneme_language={q}en-us{q}', f'phoneme_language={q}{language}{q}') + + if spec_key.startswith("xtts_"): + source = _replace_keyword_value(source, "language", repr(language)) + speaker_value = f'SPEAKER_REFERENCE = [r"{reference_wav}"]' + source = re.sub(r"SPEAKER_REFERENCE\s*=\s*\[[^\]]*\]", speaker_value, source, count=1, flags=re.DOTALL) + if restore_path: + source = _replace_keyword_value(source, "XTTS_CHECKPOINT", repr(restore_path)) + + # Resolve base model files to avoid duplicate downloads and grab from ebook2audiobook/models + resolved = _resolve_xtts_base_model(spec_key) + if isinstance(resolved, dict): + # We found the files in the cache or some candidate folder, point directly to them + source = _replace_literal(source, 'DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(DVAE_CHECKPOINT_LINK))', f'DVAE_CHECKPOINT = r"{resolved["dvae_checkpoint"]}"') + source = _replace_literal(source, 'DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, DVAE_CHECKPOINT_LINK.split("/")[-1])', f'DVAE_CHECKPOINT = r"{resolved["dvae_checkpoint"]}"') + + source = _replace_literal(source, 'MEL_NORM_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(MEL_NORM_LINK))', f'MEL_NORM_FILE = r"{resolved["mel_norm_file"]}"') + source = _replace_literal(source, 'MEL_NORM_FILE = os.path.join(CHECKPOINTS_OUT_PATH, MEL_NORM_LINK.split("/")[-1])', f'MEL_NORM_FILE = r"{resolved["mel_norm_file"]}"') + + source = _replace_literal(source, 'TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(TOKENIZER_FILE_LINK))', f'TOKENIZER_FILE = r"{resolved["tokenizer_file"]}"') + source = _replace_literal(source, 'TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, TOKENIZER_FILE_LINK.split("/")[-1])', f'TOKENIZER_FILE = r"{resolved["tokenizer_file"]}"') + + source = _replace_literal(source, 'XTTS_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(XTTS_CHECKPOINT_LINK))', f'XTTS_CHECKPOINT = r"{resolved["xtts_checkpoint"]}"') + source = _replace_literal(source, 'XTTS_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, XTTS_CHECKPOINT_LINK.split("/")[-1])', f'XTTS_CHECKPOINT = r"{resolved["xtts_checkpoint"]}"') + else: + # We didn't find the files, point CHECKPOINTS_OUT_PATH to the shared directory so they download there and can be reused next time + source = _replace_literal(source, 'CHECKPOINTS_OUT_PATH = os.path.join(OUT_PATH, "XTTS_v2.0_original_model_files/")', f'CHECKPOINTS_OUT_PATH = r"{resolved}"') + source = _replace_literal(source, 'CHECKPOINTS_OUT_PATH = os.path.join(OUT_PATH, "XTTS_v1.1_original_model_files/")', f'CHECKPOINTS_OUT_PATH = r"{resolved}"') + elif restore_path: + if "restore_path=None" in source: + source = source.replace("restore_path=None", f"restore_path=r\"{restore_path}\"", 1) + else: + source = source.replace("TrainerArgs()", f"TrainerArgs(restore_path=r\"{restore_path}\")", 1) + + source, unused = _apply_source_overrides(source, extra_overrides) + script_path.write_text(source, encoding="utf-8") + return unused + + +def _latest_matching_file(root: Path, patterns: Sequence[str]) -> Path | None: + candidates: list[Path] = [] + for pattern in patterns: + candidates.extend(root.rglob(pattern)) + candidates = [path for path in candidates if path.is_file()] + if not candidates: + return None + return max(candidates, key=lambda item: item.stat().st_mtime) + + +def _pick_reference_wav(dataset_dir: Path, dataset_info: dict[str, Any]) -> str: + reference_wav = dataset_info.get("reference_wav") + if reference_wav and Path(reference_wav).exists(): + return reference_wav + wavs_dir = dataset_dir / "wavs" + candidates = sorted(wavs_dir.glob("*.wav")) + if not candidates: + return "" + return str(max(candidates, key=lambda path: sf.info(str(path)).duration)) + + +def _tail_text(value: str, max_chars: int) -> str: + if len(value) <= max_chars: + return value + return value[-max_chars:] + + +def _optimize_xtts_checkpoint(source_path: Path, destination_path: Path) -> None: + try: + checkpoint = torch.load(str(source_path), map_location=torch.device("cpu"), weights_only=True) + except TypeError: + warnings.warn( + "Falling back to torch.load without weights_only=True. Do not load untrusted checkpoints.", + RuntimeWarning, + ) + checkpoint = torch.load(str(source_path), map_location=torch.device("cpu")) + checkpoint.pop("optimizer", None) + model_state = checkpoint.get("model", {}) + for key in list(model_state): + if "dvae" in key: + del model_state[key] + torch.save(checkpoint, str(destination_path)) + + +def _finalize_training_artifacts( + *, + spec_key: str, + training_root: Path, + dataset_dir: Path, + reference_wav: str, +) -> dict[str, Any]: + spec = get_model_spec(spec_key) + ready_dir = training_root / "ready" + ready_dir.mkdir(parents=True, exist_ok=True) + + workspace_root = training_root / "workspace" + checkpoint = _latest_matching_file(workspace_root, ["best_model.pth", "*.pth"]) + if checkpoint is None: + raise FileNotFoundError(f"No checkpoint file was produced for {spec.label}.") + + ignored_suffixes = {"vocab.json", "speakers_xtts.pth", "mel_stats.pth", "dvae.pth"} + if checkpoint.name in ignored_suffixes: + raise FileNotFoundError(f"A trainable checkpoint for {spec.label} was not found.") + + config_path = checkpoint.parent / "config.json" + if not config_path.exists(): + config_path = _latest_matching_file(workspace_root, ["config.json"]) + if config_path is None: + raise FileNotFoundError(f"config.json was not found for {spec.label}.") + + ready_checkpoint = ready_dir / "model.pth" + if spec.family == "xtts": + _optimize_xtts_checkpoint(checkpoint, ready_checkpoint) + else: + shutil.copy2(checkpoint, ready_checkpoint) + + ready_config = ready_dir / "config.json" + shutil.copy2(config_path, ready_config) + + artifacts: dict[str, Any] = { + "model_key": spec.key, + "model_label": spec.label, + "family": spec.family, + "training_root": str(training_root), + "dataset_dir": str(dataset_dir), + "checkpoint": str(ready_checkpoint), + "config": str(ready_config), + "reference_wav": reference_wav, + "default_vocoder_id": spec.default_vocoder_id, + } + + if reference_wav and Path(reference_wav).exists(): + ready_reference = ready_dir / "reference.wav" + shutil.copy2(reference_wav, ready_reference) + artifacts["reference_wav"] = str(ready_reference) + + if spec.family == "xtts": + vocab = _latest_matching_file(workspace_root, ["vocab.json"]) + if not vocab: + # Fallback: search in resolved base model + resolved = _resolve_xtts_base_model(spec_key) + if isinstance(resolved, dict) and "tokenizer_file" in resolved: + vocab = Path(resolved["tokenizer_file"]) + if not vocab: + raise FileNotFoundError("XTTS training completed but vocab.json was not found.") + + speaker = _latest_matching_file(workspace_root, ["speakers_xtts.pth"]) + if not speaker: + # Search candidate directories for speakers_xtts.pth + resolved = _resolve_xtts_base_model(spec_key) + if isinstance(resolved, dict) and "xtts_checkpoint" in resolved: + cand = Path(resolved["xtts_checkpoint"]).parent / "speakers_xtts.pth" + if cand.is_file(): + speaker = cand + if not speaker: + # Search all snapshots and shared folders + hf_repo_name = "models--coqui--XTTS-v2" if spec_key == "xtts_v2" else "models--coqui--XTTS-v1" + version_str = "v2.0" if spec_key == "xtts_v2" else "v1.1" + folder_name = f"XTTS_{version_str}_original_model_files" + for base in [_MODELS_DIR, _MODELS_DIR / "tts", _PROJECT_ROOT / "models"]: + # Check folder_name + cand = base / folder_name / "speakers_xtts.pth" + if cand.is_file(): + speaker = cand + break + # Check snapshots + hf_dir = base / hf_repo_name / "snapshots" + if hf_dir.is_dir(): + try: + for sub in hf_dir.iterdir(): + if sub.is_dir(): + cand = sub / "speakers_xtts.pth" + if cand.is_file(): + speaker = cand + break + except Exception: + pass + if speaker: + break + if not speaker: + # Download it to models/tts + _notify(None, "speakers_xtts.pth not found locally. Downloading base speaker file...") + try: + import urllib.request + version_str = "v2.0" if spec_key == "xtts_v2" else "v1.1" + dest_dir = (_MODELS_DIR / "tts") if (_MODELS_DIR / "tts").is_dir() else _MODELS_DIR + dest_path = dest_dir / f"XTTS_{version_str}_original_model_files" / "speakers_xtts.pth" + dest_path.parent.mkdir(parents=True, exist_ok=True) + url = f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-{'v2' if spec_key == 'xtts_v2' else 'v1'}/main/speakers_xtts.pth" + req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'}) + with urllib.request.urlopen(req, timeout=15) as response: + dest_path.write_bytes(response.read()) + speaker = dest_path + except Exception as dl_err: + _notify(None, f"Warning: Failed to download speakers_xtts.pth: {dl_err}. Creating a dummy speaker file.") + dest_dir = (_MODELS_DIR / "tts") if (_MODELS_DIR / "tts").is_dir() else _MODELS_DIR + dest_path = dest_dir / f"XTTS_{version_str}_original_model_files" / "speakers_xtts.pth" + dest_path.parent.mkdir(parents=True, exist_ok=True) + dest_path.write_bytes(b"") + speaker = dest_path + + ready_vocab = ready_dir / "vocab.json" + ready_speaker = ready_dir / "speakers_xtts.pth" + shutil.copy2(vocab, ready_vocab) + shutil.copy2(speaker, ready_speaker) + artifacts["vocab"] = str(ready_vocab) + artifacts["speaker_file"] = str(ready_speaker) + + artifacts_path = ready_dir / "artifacts.json" + artifacts_path.write_text(json.dumps(_json_ready(artifacts), indent=2), encoding="utf-8") + artifacts["artifacts_file"] = str(artifacts_path) + return artifacts + + +def _normalize_dataset_dir(dataset_dir: str | None, output_root: str) -> Path: + if dataset_dir: + path = _resolve_user_path(dataset_dir, must_exist=True, expect_directory=True) + else: + path = _resolve_user_path(output_root, expect_directory=True) / "dataset" / "LJSpeech-1.1" + if not path.exists(): + raise FileNotFoundError(f"Dataset directory not found: {path}") + return path + + +def load_dataset_info(dataset_dir: str) -> dict[str, Any]: + info_path = _resolve_user_path(dataset_dir, must_exist=True, expect_directory=True) / "dataset_info.json" + if info_path.exists(): + return json.loads(info_path.read_text(encoding="utf-8")) + return {} + + +def train_model( + *, + model_key: str, + output_root: str, + dataset_dir: str | None = None, + language: str = "en", + epochs: int = 10, + batch_size: int = 8, + grad_accum: int = 1, + max_audio_seconds: int = 11, + restore_path: str | None = None, + use_pretrained: bool = True, + extra_overrides_json: str | None = None, + dry_run: bool = False, + progress: ProgressCallback = None, + stream_logs: bool = True, + sample_epoch_interval: int = 0, + sample_text: str = "", +) -> dict[str, Any]: + spec = get_model_spec(model_key) + dataset_root = _normalize_dataset_dir(dataset_dir, output_root) + dataset_info = load_dataset_info(str(dataset_root)) + output_root_path = _resolve_user_path(output_root, expect_directory=True) + timestamp = time.strftime("%Y%m%d-%H%M%S") + training_root = output_root_path / "training_runs" / model_key / timestamp + training_root.mkdir(parents=True, exist_ok=True) + + if model_key == "piper": + from utils.piper_utils import ( + ensure_monotonic_align_compiled, + resolve_piper_checkpoint, + download_piper_checkpoint, + preprocess_piper_dataset, + train_piper_model, + export_piper_onnx + ) + ensure_monotonic_align_compiled() + + # Resolve and download pretrained checkpoint if applicable + base_ckpt_path = None + config_path = None + quality = "medium" + sample_rate = 22050 + espeak_language = language.lower().replace("_", "-") + + if restore_path: + base_ckpt_path = Path(restore_path) + config_path = base_ckpt_path.parent / "config.json" + if not config_path.exists(): + json_files = list(base_ckpt_path.parent.glob("*.json")) + if json_files: + config_path = json_files[0] + else: + _notify(progress, "Checkpoint config not found locally. Resolving a base config...") + checkpoint_info = resolve_piper_checkpoint(language) + _, config_path = download_piper_checkpoint(checkpoint_info, progress) + + if config_path and config_path.exists(): + with open(config_path, "r", encoding="utf-8") as f: + ckpt_config = json.load(f) + sample_rate = ckpt_config.get("audio", {}).get("sample_rate", 22050) + quality = ckpt_config.get("audio", {}).get("quality", "medium") + espeak_language = ckpt_config.get("espeak", {}).get("voice") or ckpt_config.get("language", {}).get("code") or espeak_language + elif use_pretrained: + _notify(progress, f"Resolving Piper checkpoint for language: {language}...") + checkpoint_info = resolve_piper_checkpoint(language) + _notify(progress, f"Downloading checkpoint: {checkpoint_info['voice']} ({checkpoint_info['quality']})") + base_ckpt_path, config_path = download_piper_checkpoint(checkpoint_info, progress) + + with open(config_path, "r", encoding="utf-8") as f: + ckpt_config = json.load(f) + sample_rate = ckpt_config.get("audio", {}).get("sample_rate", 22050) + quality = checkpoint_info.get("quality", "medium") + espeak_language = checkpoint_info["locale"].lower().replace("_", "-") + else: + _notify(progress, f"Training Piper model from scratch for language: {language}...") + + preprocessed_dir = training_root / "preprocessed" + if not config_path: + config_path = preprocessed_dir / "config.json" + + run_summary = { + "model_key": spec.key, + "model_label": spec.label, + "training_root": str(training_root), + "preprocessed_dir": str(preprocessed_dir), + "dataset_dir": str(dataset_root), + "base_checkpoint": str(base_ckpt_path) if base_ckpt_path else "", + "base_config": str(config_path), + "espeak_language": espeak_language, + "sample_rate": sample_rate, + "quality": quality, + } + if dry_run: + run_summary["status"] = "dry-run" + return run_summary + + # 1. Preprocess dataset + _notify(progress, "Preprocessing dataset for Piper...") + preprocess_piper_dataset(dataset_root, preprocessed_dir, espeak_language, sample_rate) + + # 2. Overwrite configuration with base checkpoint's config + shutil.copy2(config_path, preprocessed_dir / "config.json") + + # 3. Train the model + _notify(progress, f"Training Piper model for {epochs} epochs...") + log_path = training_root / "training.log" + try: + log_output = train_piper_model( + preprocessed_dir=preprocessed_dir, + base_ckpt_path=base_ckpt_path, + epochs=epochs, + batch_size=batch_size, + quality=quality, + stream_logs=stream_logs, + progress_callback=progress, + sample_epoch_interval=sample_epoch_interval, + sample_text=sample_text, + config_path=config_path, + output_dir=training_root + ) + log_path.write_text(log_output, encoding="utf-8") + except Exception as e: + if log_path.exists(): + log_output = log_path.read_text(encoding="utf-8") + else: + log_output = str(e) + raise RuntimeError( + f"Piper training failed. See {log_path}\n\n" + f"LOGS:\n{_tail_text(log_output, ERROR_LOG_TAIL_CHARS)}" + ) from e + + # 4. Find trained checkpoint and export to ONNX + lightning_logs_dir = preprocessed_dir / "lightning_logs" + trained_ckpt = _latest_matching_file(lightning_logs_dir, ["**/*.ckpt", "*.ckpt"]) + if not trained_ckpt: + trained_ckpt = _latest_matching_file(training_root, ["**/*.ckpt", "*.ckpt"]) + if not trained_ckpt: + raise FileNotFoundError("No training checkpoint .ckpt file was produced by Piper training.") + + _notify(progress, "Exporting trained model to ONNX...") + ready_dir = training_root / "ready" + ready_dir.mkdir(parents=True, exist_ok=True) + ready_onnx = ready_dir / "model.onnx" + + export_piper_onnx(trained_ckpt, ready_onnx, config_path) + + artifacts = { + "model_key": spec.key, + "model_label": spec.label, + "family": spec.family, + "training_root": str(training_root), + "dataset_dir": str(dataset_root), + "checkpoint": str(ready_onnx), + "config": str(ready_onnx) + ".json", + "reference_wav": "", + "log_path": str(log_path), + "unused_overrides": {}, + } + artifacts_path = ready_dir / "artifacts.json" + artifacts_path.write_text(json.dumps(_json_ready(artifacts), indent=2), encoding="utf-8") + artifacts["artifacts_file"] = str(artifacts_path) + return artifacts + + computed_restore_path = _download_restore_path(model_key, use_pretrained, restore_path, progress) + extra_overrides = json.loads(extra_overrides_json) if extra_overrides_json else {} + if extra_overrides_json and not isinstance(extra_overrides, dict): + raise ValueError("extra_overrides_json must be a JSON object.") + + reference_wav = _pick_reference_wav(dataset_root, dataset_info) + workspace_root, script_path = _prepare_workspace(model_key, dataset_root, training_root) + unused_overrides = _patch_recipe_script( + script_path, + spec_key=model_key, + dataset_dir=dataset_root, + language=language, + epochs=epochs, + batch_size=batch_size, + grad_accum=grad_accum, + max_audio_seconds=max_audio_seconds, + restore_path=computed_restore_path, + extra_overrides=extra_overrides, + reference_wav=str(reference_wav) if reference_wav else "", + ) + + run_summary = { + "model_key": spec.key, + "model_label": spec.label, + "training_root": str(training_root), + "workspace_root": str(workspace_root), + "dataset_dir": str(dataset_root), + "script_path": str(script_path), + "restore_path": computed_restore_path or "", + "unused_overrides": unused_overrides, + } + if dry_run: + run_summary["status"] = "dry-run" + return run_summary + + _notify(progress, f"Starting training for {spec.label}...") + log_path = training_root / "training.log" + stdout_lines: list[str] = [] + + process = subprocess.Popen( + [sys.executable, str(script_path)], + cwd=str(workspace_root), + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + bufsize=1, + start_new_session=True + ) + register_active_process(process) + try: + if process.stdout: + for line in process.stdout: + stdout_lines.append(line) + if stream_logs: + sys.stdout.write(line) + sys.stdout.flush() + if progress: + progress(line) + process.wait() + finally: + register_active_process(None) + + full_log = "".join(stdout_lines) + log_path.write_text(full_log, encoding="utf-8") + + if process.returncode != 0: + raise RuntimeError( + f"Training failed for {spec.label}. See {log_path}\n\n" + f"LOGS:\n{_tail_text(full_log, ERROR_LOG_TAIL_CHARS)}" + ) + artifacts = _finalize_training_artifacts( + spec_key=model_key, + training_root=training_root, + dataset_dir=dataset_root, + reference_wav=str(reference_wav) if reference_wav else "", + ) + artifacts["log_path"] = str(log_path) + artifacts["unused_overrides"] = unused_overrides + return artifacts + + +def find_latest_artifacts(output_root: str, model_key: str | None = None) -> dict[str, Any]: + base = _resolve_user_path(output_root, must_exist=True, expect_directory=True) + search_root = base / "training_runs" + if model_key: + search_root = search_root / model_key + artifact_file = _latest_matching_file(search_root, ["artifacts.json"]) + if not artifact_file: + raise FileNotFoundError(f"No trained model artifacts were found under {search_root}") + artifacts = json.loads(artifact_file.read_text(encoding="utf-8")) + artifacts["artifacts_file"] = str(artifact_file) + return artifacts + + +def load_artifacts(artifacts_path_or_dir: str, model_key: str | None = None) -> dict[str, Any]: + path = _resolve_user_path(artifacts_path_or_dir, must_exist=True) + if path.is_dir(): + artifacts_file = path / "artifacts.json" + if not artifacts_file.exists(): + artifacts_file = path / "ready" / "artifacts.json" + if not artifacts_file.exists(): + if model_key: + return find_latest_artifacts(str(path), model_key) + raise FileNotFoundError(f"Could not find artifacts.json inside {path}") + else: + artifacts_file = path + artifacts = json.loads(artifacts_file.read_text(encoding="utf-8")) + artifacts["artifacts_file"] = str(artifacts_file) + return artifacts + + +def _load_xtts_runtime(artifacts: dict[str, Any]) -> Xtts: + cache_key = json.dumps({ + "family": artifacts["family"], + "checkpoint": artifacts["checkpoint"], + "config": artifacts["config"], + "vocab": artifacts.get("vocab"), + "speaker_file": artifacts.get("speaker_file"), + }, sort_keys=True) + if cache_key in MODEL_CACHE: + return MODEL_CACHE[cache_key] + config = XttsConfig() + config.load_json(artifacts["config"]) + model = Xtts.init_from_config(config) + model.load_checkpoint( + config, + checkpoint_path=artifacts["checkpoint"], + vocab_path=artifacts["vocab"], + speaker_file_path=artifacts["speaker_file"], + use_deepspeed=False, + ) + if torch.cuda.is_available(): + model.cuda() + MODEL_CACHE[cache_key] = model + return model + + +def _download_vocoder(vocoder_model_id: str | None, progress: ProgressCallback) -> tuple[str | None, str | None]: + if not vocoder_model_id: + return None, None + _notify(progress, f"Downloading vocoder '{vocoder_model_id}'...") + vocoder_path, vocoder_config, _ = ModelManager(progress_bar=True).download_model(vocoder_model_id) + return vocoder_path, vocoder_config + + +def _load_tts_runtime(artifacts: dict[str, Any], progress: ProgressCallback) -> TTS: + cache_key = json.dumps({ + "family": artifacts["family"], + "checkpoint": artifacts["checkpoint"], + "config": artifacts["config"], + "vocoder": artifacts.get("vocoder_path"), + "vocoder_config": artifacts.get("vocoder_config"), + }, sort_keys=True) + if cache_key in MODEL_CACHE: + return MODEL_CACHE[cache_key] + vocoder_path = artifacts.get("vocoder_path") + vocoder_config = artifacts.get("vocoder_config") + if not vocoder_path and artifacts.get("default_vocoder_id"): + vocoder_path, vocoder_config = _download_vocoder(artifacts["default_vocoder_id"], progress) + artifacts["vocoder_path"] = vocoder_path + artifacts["vocoder_config"] = vocoder_config + runtime = TTS( + model_path=artifacts["checkpoint"], + config_path=artifacts["config"], + vocoder_path=vocoder_path, + vocoder_config_path=vocoder_config, + gpu=torch.cuda.is_available(), + progress_bar=False, + ) + MODEL_CACHE[cache_key] = runtime + return runtime + + +def synthesize( + *, + artifacts_path_or_dir: str, + text: str, + output_file: str, + model_key: str | None = None, + language: str = "en", + speaker_wav: str | None = None, + progress: ProgressCallback = None, +) -> dict[str, Any]: + if not text.strip(): + raise ValueError("Text is required for synthesis.") + artifacts = load_artifacts(artifacts_path_or_dir, model_key=model_key) + output_path = _resolve_user_path(output_file) + output_path.parent.mkdir(parents=True, exist_ok=True) + speaker_reference = speaker_wav or artifacts.get("reference_wav") + + if artifacts["family"] == "xtts": + if not speaker_reference: + raise ValueError("XTTS inference requires a speaker reference WAV.") + _notify(progress, "Loading XTTS model...") + model = _load_xtts_runtime(artifacts) + gpt_cond_latent, speaker_embedding = model.get_conditioning_latents( + audio_path=speaker_reference, + gpt_cond_len=model.config.gpt_cond_len, + max_ref_length=model.config.max_ref_len, + sound_norm_refs=model.config.sound_norm_refs, + ) + _notify(progress, "Generating speech...") + output = model.inference( + text=text, + language=language, + gpt_cond_latent=gpt_cond_latent, + speaker_embedding=speaker_embedding, + temperature=model.config.temperature, + length_penalty=model.config.length_penalty, + repetition_penalty=model.config.repetition_penalty, + top_k=model.config.top_k, + top_p=model.config.top_p, + enable_text_splitting=True, + ) + waveform = torch.tensor(output["wav"]).unsqueeze(0) + _save_waveform(output_path, waveform, 24000) + elif artifacts["family"] == "piper": + _notify(progress, "Loading Piper model and generating speech...") + from utils.piper_utils import synthesize_piper + synthesize_piper( + onnx_path=artifacts["checkpoint"], + config_path=artifacts["config"], + text=text, + output_wav_path=str(output_path) + ) + else: + _notify(progress, "Loading TTS model...") + runtime = _load_tts_runtime(artifacts, progress) + _notify(progress, "Generating speech...") + runtime.tts_to_file(text=text, file_path=str(output_path), split_sentences=True) + + return { + "model_key": artifacts["model_key"], + "output_file": str(output_path), + "speaker_wav": speaker_reference or "", + "artifacts_file": artifacts["artifacts_file"], + } + + +def list_supported_models() -> list[dict[str, Any]]: + return [ + { + **asdict(spec), + "recipe_path": str(spec.recipe_path), + "train_script_path": str(spec.train_script_path), + } + for spec in MODEL_SPECS + ] + + +def format_exception(exc: Exception) -> str: + return f"{exc}\n\n{traceback.format_exc()}" + + +def default_test_output(output_root: str) -> str: + return str(_resolve_user_path(output_root, expect_directory=True) / "samples" / f"sample_{int(time.time())}.wav") + + +def dropdown_choices() -> list[tuple[str, str]]: + return list_model_choices() diff --git a/components/Universal_TTS_Finetune/utils/piper_utils.py b/components/Universal_TTS_Finetune/utils/piper_utils.py new file mode 100644 index 0000000..20f53cd --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/piper_utils.py @@ -0,0 +1,539 @@ +from __future__ import annotations + +import os +import sys +import shutil +import urllib.request +import json +import subprocess +from pathlib import Path +import torch + +_PROJECT_ROOT = Path(__file__).resolve().parent.parent +_MAIN_MODELS_DIR = _PROJECT_ROOT.parent.parent / "models" +if _MAIN_MODELS_DIR.exists() and _MAIN_MODELS_DIR.is_dir(): + _MODELS_DIR = _MAIN_MODELS_DIR +else: + _MODELS_DIR = _PROJECT_ROOT / "models" + _MODELS_DIR.mkdir(exist_ok=True) + +def ensure_monotonic_align_compiled(): + """Auto-compiles the monotonic_align Cython extension for Piper training if not already compiled.""" + base_dir = Path(__file__).resolve().parent.parent / "piper" / "piper_train" / "vits" / "monotonic_align" + target_dir = base_dir / "monotonic_align" + target_dir.mkdir(exist_ok=True) + + # Check if compiled file exists in target_dir + existing = list(target_dir.glob("core*.so")) + list(target_dir.glob("core*.pyd")) + if existing: + return + + print("Compiling monotonic_align Cython extension...") + try: + # Run setup.py in-place + subprocess.run( + [sys.executable, "setup.py", "build_ext", "--inplace"], + cwd=str(base_dir), + check=True, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE + ) + + # Move built extension files into the target monotonic_align/ directory + built_files = list(base_dir.glob("core*.so")) + list(base_dir.glob("core*.pyd")) + list(base_dir.glob("core*.dylib")) + for f in built_files: + dest_file = target_dir / f.name + if dest_file.exists(): + dest_file.unlink() + shutil.move(str(f), str(target_dir / f.name)) + print("monotonic_align compiled successfully.") + except Exception as e: + print(f"Warning: Failed to compile monotonic_align Cython extension: {e}. Training might be slow or fail.") + +def get_voices_json_languages() -> set[str]: + """Retrieves all language codes and families supported by pre-built Piper models in voices.json.""" + paths = [ + _PROJECT_ROOT / "voices.json", + _PROJECT_ROOT / "piper" / "piper" / "voices.json" + ] + langs = set() + for path in paths: + if path.exists(): + try: + with open(path, "r", encoding="utf-8") as f: + data = json.load(f) + for voice in data.values(): + lang_info = voice.get("language", {}) + if "code" in lang_info: + code = lang_info["code"].lower() + langs.add(code) + langs.add(code.replace("_", "-")) + if "family" in lang_info: + langs.add(lang_info["family"].lower()) + except Exception: + pass + return langs + +def resolve_piper_checkpoint(language: str, quality: str = "medium") -> dict[str, str]: + """Resolves the pre-trained checkpoint for a given language code. + Tries HF API dynamically, falling back to a static catalog of common models. + """ + lang = language.split("-")[0].split("_")[0].lower() # Normalize code (e.g. en-US -> en) + + # Static catalog mapping standard languages to reliable pre-trained models + static_fallbacks = { + "en": { + "lang": "en", + "locale": "en_US", + "voice": "lessac", + "quality": "medium", + "ckpt": "epoch=2164-step=1355540.ckpt", + "config": "config.json" + }, + "es": { + "lang": "es", + "locale": "es_ES", + "voice": "davefx", + "quality": "medium", + "ckpt": "epoch=5629-step=1605020.ckpt", + "config": "config.json" + }, + "de": { + "lang": "de", + "locale": "de_DE", + "voice": "thorsten", + "quality": "medium", + "ckpt": "epoch=3135-step=2702056.ckpt", + "config": "config.json" + }, + "fr": { + "lang": "fr", + "locale": "fr_FR", + "voice": "siwis", + "quality": "medium", + "ckpt": "epoch=3304-step=2050940.ckpt", + "config": "config.json" + } + } + + try: + # Tries to query Hugging Face API dynamically + api_url = f"https://huggingface.co/api/datasets/rhasspy/piper-checkpoints/tree/main/{lang}" + req = urllib.request.Request(api_url, headers={'User-Agent': 'Mozilla/5.0'}) + with urllib.request.urlopen(req, timeout=5) as response: + locales = json.loads(response.read().decode()) + if locales and isinstance(locales, list): + # Select first locale (e.g. en/en_US) + locale_path = locales[0]["path"] + + # Query locale directory for voices + voice_url = f"https://huggingface.co/api/datasets/rhasspy/piper-checkpoints/tree/main/{locale_path}" + with urllib.request.urlopen(urllib.request.Request(voice_url, headers={'User-Agent': 'Mozilla/5.0'}), timeout=5) as res: + voices = json.loads(res.read().decode()) + if voices and isinstance(voices, list): + voice_path = voices[0]["path"] + + # Query voice directory for qualities + quality_url = f"https://huggingface.co/api/datasets/rhasspy/piper-checkpoints/tree/main/{voice_path}" + with urllib.request.urlopen(urllib.request.Request(quality_url, headers={'User-Agent': 'Mozilla/5.0'}), timeout=5) as r: + qualities = json.loads(r.read().decode()) + + # Attempt to find the requested quality or take first + selected_quality_path = None + for q in qualities: + if q["path"].endswith(quality): + selected_quality_path = q["path"] + break + if not selected_quality_path and qualities: + selected_quality_path = qualities[0]["path"] + + if selected_quality_path: + # Query selected quality directory for files + files_url = f"https://huggingface.co/api/datasets/rhasspy/piper-checkpoints/tree/main/{selected_quality_path}" + with urllib.request.urlopen(urllib.request.Request(files_url, headers={'User-Agent': 'Mozilla/5.0'}), timeout=5) as rf: + files = json.loads(rf.read().decode()) + ckpt_file = None + config_file = "config.json" + for f in files: + if f["path"].endswith(".ckpt"): + ckpt_file = Path(f["path"]).name + + if ckpt_file: + parts = selected_quality_path.split("/") + return { + "lang": lang, + "locale": parts[1] if len(parts) > 1 else "", + "voice": parts[2] if len(parts) > 2 else "", + "quality": parts[3] if len(parts) > 3 else quality, + "ckpt": ckpt_file, + "config": config_file + } + except Exception as e: + print(f"HF API resolution failed ({e}). Falling back to static mappings.") + + # Return matched static config, or fallback to English lessac + if lang in static_fallbacks: + return static_fallbacks[lang] + else: + print(f"Language '{lang}' has no pre-trained checkpoint. Defaulting to English (en_US/lessac) as base model.") + return static_fallbacks["en"] + +def download_piper_checkpoint(checkpoint_info: dict[str, str], progress_callback=None) -> tuple[Path, Path]: + """Downloads checkpoint ckpt and config files locally into models/piper/checkpoints/.""" + lang = checkpoint_info["lang"] + locale = checkpoint_info["locale"] + voice = checkpoint_info["voice"] + quality = checkpoint_info["quality"] + ckpt_filename = checkpoint_info["ckpt"] + config_filename = checkpoint_info["config"] + + base_url = f"https://huggingface.co/datasets/rhasspy/piper-checkpoints/resolve/main/{lang}/{locale}/{voice}/{quality}" + + local_dir = _MODELS_DIR / "piper" / "checkpoints" / lang / locale / voice / quality + local_dir.mkdir(parents=True, exist_ok=True) + + ckpt_path = local_dir / ckpt_filename + config_path = local_dir / config_filename + + def _download(url: str, dest: Path, label: str): + if dest.exists() and dest.stat().st_size > 1000000: + return + if progress_callback: + progress_callback(f"Downloading {label}...") + print(f"Downloading {url} to {dest}...") + + req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'}) + with urllib.request.urlopen(req) as response: + total_size = int(response.info().get('Content-Length', 0)) + block_size = 1024 * 1024 + downloaded = 0 + with open(dest, "wb") as f: + while True: + block = response.read(block_size) + if not block: + break + f.write(block) + downloaded += len(block) + if total_size > 0 and progress_callback: + percent = int(downloaded * 100 / total_size) + progress_callback(f"Downloading {label}: {percent}% ({downloaded // (1024*1024)}MB / {total_size // (1024*1024)}MB)") + + _download(f"{base_url}/{config_filename}", config_path, f"{voice} config") + _download(f"{base_url}/{ckpt_filename}", ckpt_path, f"{voice} checkpoint") + + return ckpt_path, config_path + +def normalize_espeak_language(language_code: str) -> str: + """Verifies and normalizes the language code for piper_phonemize. + If the language code raises an error when phonemizing, it falls back to the base language code (e.g. en-gb -> en). + """ + try: + import piper_phonemize + # Try phonemizing a dummy word to see if voice sets up successfully + piper_phonemize.phonemize_espeak("test", language_code) + return language_code + except Exception as e: + print(f"eSpeak voice setup failed for '{language_code}': {e}") + # Try finding a base language code + if "-" in language_code: + base_code = language_code.split("-")[0] + try: + import piper_phonemize + piper_phonemize.phonemize_espeak("test", base_code) + print(f"Fell back to base voice: '{base_code}'") + return base_code + except Exception as e_base: + print(f"eSpeak voice setup also failed for base voice '{base_code}': {e_base}") + elif "_" in language_code: + base_code = language_code.split("_")[0] + try: + import piper_phonemize + piper_phonemize.phonemize_espeak("test", base_code) + print(f"Fell back to base voice: '{base_code}'") + return base_code + except Exception as e_base: + print(f"eSpeak voice setup also failed for base voice '{base_code}': {e_base}") + + # If base fails, or there is no delimiter, we can fall back to 'en' + print("Falling back to default 'en' voice.") + return "en" + +def preprocess_piper_dataset(dataset_dir: Path, output_dir: Path, language_code: str, sample_rate: int): + """Executes piper_train.preprocess as a python subprocess to prepare the LJSpeech dataset.""" + # Normalize language code to prevent eSpeak voice setup failures + normalized_lang = normalize_espeak_language(language_code) + + piper_python_src = Path(__file__).resolve().parent.parent / "piper" + env = os.environ.copy() + env["PYTHONPATH"] = str(piper_python_src) + (os.pathsep + env.get("PYTHONPATH", "") if env.get("PYTHONPATH") else "") + + cmd = [ + sys.executable, + "-m", "piper_train.preprocess", + "--language", normalized_lang, + "--input-dir", str(dataset_dir), + "--output-dir", str(output_dir), + "--dataset-format", "ljspeech", + "--single-speaker", + "--sample-rate", str(sample_rate) + ] + print(f"Running Piper preprocessing: {' '.join(cmd)}") + subprocess.run(cmd, env=env, check=True) + +def _check_and_generate_piper_sample( + preprocessed_dir: Path, + sample_epoch_interval: int, + sample_text: str, + config_path: Path, + output_dir: Path, + generated_epochs: set[int], + progress_callback=None +): + import re + # Check for any .ckpt file under preprocessed_dir or its lightning_logs subdirectories + ckpt_files = list(preprocessed_dir.glob("epoch=*-step=*.ckpt")) + ckpt_files.extend(list((preprocessed_dir / "lightning_logs").glob("**/*.ckpt"))) + + for ckpt in ckpt_files: + if not ckpt.exists(): + continue + # Parse the epoch index (e.g. epoch=99-step=1200.ckpt) + match = re.search(r"epoch=(\d+)-step=", ckpt.name) + if match: + epoch_idx = int(match.group(1)) + epoch_num = epoch_idx + 1 # Convert to 1-based epoch number + if epoch_num % sample_epoch_interval == 0 and epoch_num not in generated_epochs: + # Double check existence to avoid race condition + if not ckpt.exists(): + continue + generated_epochs.add(epoch_num) + temp_ckpt = None + try: + samples_dir = output_dir / "epoch_samples" + samples_dir.mkdir(parents=True, exist_ok=True) + temp_ckpt = samples_dir / f"epoch_{epoch_num}_temp.ckpt" + temp_onnx = samples_dir / f"epoch_{epoch_num}_temp.onnx" + temp_config = samples_dir / f"epoch_{epoch_num}_temp.onnx.json" + + # Notify + msg = f"\n>>> [Periodic Audio Sample] Copying checkpoint for Epoch {epoch_num} to prevent race conditions... <<<\n" + print(msg) + sys.stdout.flush() + if progress_callback: + progress_callback(msg) + + # Copy checkpoint file to temporary path immediately + shutil.copy2(ckpt, temp_ckpt) + + msg = f">>> Exporting checkpoint for Epoch {epoch_num} to ONNX... <<<\n" + print(msg) + sys.stdout.flush() + if progress_callback: + progress_callback(msg) + + # Export to ONNX using our copied file + export_piper_onnx(temp_ckpt, temp_onnx, config_path) + + # Synthesize + out_wav = samples_dir / f"epoch_{epoch_num}.wav" + msg = f">>> Synthesizing audio sample for Epoch {epoch_num}... <<<\n" + print(msg) + sys.stdout.flush() + if progress_callback: + progress_callback(msg) + + synthesize_piper(str(temp_onnx), str(temp_config), sample_text, str(out_wav)) + + # Clean up temp files + if temp_onnx.exists(): + temp_onnx.unlink() + if temp_config.exists(): + temp_config.unlink() + if temp_ckpt and temp_ckpt.exists(): + temp_ckpt.unlink() + + done_msg = f">>> Saved audio sample to: {out_wav} <<<\n\n" + print(done_msg) + sys.stdout.flush() + if progress_callback: + progress_callback(done_msg) + except Exception as e: + # Cleanup on failure + if temp_ckpt and temp_ckpt.exists(): + try: + temp_ckpt.unlink() + except Exception: + pass + err_msg = f"Warning: Failed to generate epoch sample for Epoch {epoch_num}: {e}\n" + print(err_msg) + sys.stdout.flush() + if progress_callback: + progress_callback(err_msg) + +def train_piper_model( + preprocessed_dir: Path, + base_ckpt_path: Path, + epochs: int, + batch_size: int, + quality: str = "medium", + stream_logs: bool = True, + progress_callback=None, + sample_epoch_interval: int = 0, + sample_text: str = "", + config_path: Path | None = None, + output_dir: Path | None = None, +) -> str: + """Invokes pytorch-lightning training via piper_train as a subprocess.""" + piper_python_src = Path(__file__).resolve().parent.parent / "piper" + env = os.environ.copy() + env["PYTHONPATH"] = str(piper_python_src) + (os.pathsep + env.get("PYTHONPATH", "") if env.get("PYTHONPATH") else "") + + # Configure accelerator based on availability (Mac GPUs use mps, otherwise cpu/gpu) + devices = 1 + if torch.cuda.is_available(): + accelerator = "gpu" + elif torch.backends.mps.is_available(): + accelerator = "mps" + else: + accelerator = "cpu" + + cmd = [ + sys.executable, + "-m", "piper_train", + "--dataset-dir", str(preprocessed_dir), + "--accelerator", accelerator, + "--devices", str(devices), + "--batch-size", str(batch_size), + "--validation-split", "0.0", + "--num-test-examples", "0", + "--max_epochs", str(epochs), + "--checkpoint-epochs", "1", + "--precision", "32", + "--quality", quality + ] + if base_ckpt_path: + cmd.extend(["--resume_from_checkpoint", str(base_ckpt_path)]) + + + if progress_callback: + progress_callback("Launching Piper training...") + + print(f"Running training command: {' '.join(cmd)}") + + process = subprocess.Popen( + cmd, + env=env, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + bufsize=1, + start_new_session=True + ) + + try: + from utils.pipeline import register_active_process + register_active_process(process) + except Exception: + pass + + log_lines = [] + generated_epochs = set() + import time + last_check_time = 0.0 + last_dir_mtime = 0.0 + + try: + if process.stdout: + for line in process.stdout: + log_lines.append(line) + if stream_logs: + sys.stdout.write(line) + sys.stdout.flush() + if progress_callback: + progress_callback(line) + + # Scan for checkpoints to generate progress audio samples + if sample_epoch_interval > 0 and config_path and output_dir: + current_time = time.time() + if (current_time - last_check_time) > 0.5: + last_check_time = current_time + try: + current_mtime = preprocessed_dir.stat().st_mtime + except Exception: + current_mtime = 0.0 + if current_mtime != last_dir_mtime: + last_dir_mtime = current_mtime + _check_and_generate_piper_sample( + preprocessed_dir=preprocessed_dir, + sample_epoch_interval=sample_epoch_interval, + sample_text=sample_text, + config_path=config_path, + output_dir=output_dir, + generated_epochs=generated_epochs, + progress_callback=progress_callback + ) + + process.wait() + + # Run a final check to ensure we capture the final checkpoints + if sample_epoch_interval > 0 and config_path and output_dir: + _check_and_generate_piper_sample( + preprocessed_dir=preprocessed_dir, + sample_epoch_interval=sample_epoch_interval, + sample_text=sample_text, + config_path=config_path, + output_dir=output_dir, + generated_epochs=generated_epochs, + progress_callback=progress_callback + ) + + if process.returncode != 0: + raise RuntimeError(f"Piper training subprocess failed with code {process.returncode}") + + return "".join(log_lines) + finally: + try: + from utils.pipeline import register_active_process + register_active_process(None) + except Exception: + pass + +def export_piper_onnx(ckpt_path: Path, onnx_path: Path, config_path: Path): + """Exports PyTorch Lightning checkpoint to ONNX format and copies its configuration file.""" + piper_python_src = Path(__file__).resolve().parent.parent / "piper" + env = os.environ.copy() + env["PYTHONPATH"] = str(piper_python_src) + (os.pathsep + env.get("PYTHONPATH", "") if env.get("PYTHONPATH") else "") + + cmd = [ + sys.executable, + "-m", "piper_train.export_onnx", + str(ckpt_path), + str(onnx_path) + ] + print(f"Running ONNX export: {' '.join(cmd)}") + subprocess.run(cmd, env=env, check=True) + + # Copy configuration file to match the onnx model path + dest_config = Path(f"{onnx_path}.json") + shutil.copy2(config_path, dest_config) + print(f"ONNX model successfully exported to {onnx_path}") + +def synthesize_piper(onnx_path: str, config_path: str, text: str, output_wav_path: str): + """Generates speech wav file using ONNX Runtime and piper python_run scripts.""" + import wave + + piper_run_src = Path(__file__).resolve().parent.parent / "piper" + if str(piper_run_src) not in sys.path: + sys.path.insert(0, str(piper_run_src)) + + from piper.voice import PiperVoice + + voice = PiperVoice.load(model_path=onnx_path, config_path=config_path) + + output_path = Path(output_wav_path) + output_path.parent.mkdir(parents=True, exist_ok=True) + + with wave.open(str(output_path), "wb") as wav_file: + voice.synthesize(text, wav_file) + + print(f"Audio successfully generated and saved to {output_wav_path}") diff --git a/components/Universal_TTS_Finetune/utils/tokenizer.py b/components/Universal_TTS_Finetune/utils/tokenizer.py new file mode 100644 index 0000000..1611d5a --- /dev/null +++ b/components/Universal_TTS_Finetune/utils/tokenizer.py @@ -0,0 +1,869 @@ +import os +import re +import textwrap +from functools import cached_property + +import pypinyin +import torch +from hangul_romanize import Transliter +from hangul_romanize.rule import academic +from num2words import num2words +from spacy.lang.ar import Arabic +from spacy.lang.en import English +from spacy.lang.es import Spanish +from spacy.lang.ja import Japanese +from spacy.lang.zh import Chinese +from tokenizers import Tokenizer + +from TTS.tts.layers.xtts.zh_num2words import TextNorm as zh_num2words + + +def get_spacy_lang(lang): + if lang == "zh": + return Chinese() + elif lang == "ja": + return Japanese() + elif lang == "ar": + return Arabic() + elif lang == "es": + return Spanish() + else: + # For most languages, Enlish does the job + return English() + + +def split_sentence(text, lang, text_split_length=250): + """Preprocess the input text""" + text_splits = [] + if text_split_length is not None and len(text) >= text_split_length: + text_splits.append("") + nlp = get_spacy_lang(lang) + nlp.add_pipe("sentencizer") + doc = nlp(text) + for sentence in doc.sents: + if len(text_splits[-1]) + len(str(sentence)) <= text_split_length: + # if the last sentence + the current sentence is less than the text_split_length + # then add the current sentence to the last sentence + text_splits[-1] += " " + str(sentence) + text_splits[-1] = text_splits[-1].lstrip() + elif len(str(sentence)) > text_split_length: + # if the current sentence is greater than the text_split_length + for line in textwrap.wrap( + str(sentence), + width=text_split_length, + drop_whitespace=True, + break_on_hyphens=False, + tabsize=1, + ): + text_splits.append(str(line)) + else: + text_splits.append(str(sentence)) + + if len(text_splits) > 1: + if text_splits[0] == "": + del text_splits[0] + else: + text_splits = [text.lstrip()] + + return text_splits + + +_whitespace_re = re.compile(r"\s+") + +# List of (regular expression, replacement) pairs for abbreviations: +_abbreviations = { + "en": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("mrs", "misess"), + ("mr", "mister"), + ("dr", "doctor"), + ("st", "saint"), + ("co", "company"), + ("jr", "junior"), + ("maj", "major"), + ("gen", "general"), + ("drs", "doctors"), + ("rev", "reverend"), + ("lt", "lieutenant"), + ("hon", "honorable"), + ("sgt", "sergeant"), + ("capt", "captain"), + ("esq", "esquire"), + ("ltd", "limited"), + ("col", "colonel"), + ("ft", "fort"), + ] + ], + "es": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("sra", "señora"), + ("sr", "señor"), + ("dr", "doctor"), + ("dra", "doctora"), + ("st", "santo"), + ("co", "compañía"), + ("jr", "junior"), + ("ltd", "limitada"), + ] + ], + "fr": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("mme", "madame"), + ("mr", "monsieur"), + ("dr", "docteur"), + ("st", "saint"), + ("co", "compagnie"), + ("jr", "junior"), + ("ltd", "limitée"), + ] + ], + "de": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("fr", "frau"), + ("dr", "doktor"), + ("st", "sankt"), + ("co", "firma"), + ("jr", "junior"), + ] + ], + "pt": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("sra", "senhora"), + ("sr", "senhor"), + ("dr", "doutor"), + ("dra", "doutora"), + ("st", "santo"), + ("co", "companhia"), + ("jr", "júnior"), + ("ltd", "limitada"), + ] + ], + "it": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + # ("sig.ra", "signora"), + ("sig", "signore"), + ("dr", "dottore"), + ("st", "santo"), + ("co", "compagnia"), + ("jr", "junior"), + ("ltd", "limitata"), + ] + ], + "pl": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("p", "pani"), + ("m", "pan"), + ("dr", "doktor"), + ("sw", "święty"), + ("jr", "junior"), + ] + ], + "ar": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + # There are not many common abbreviations in Arabic as in English. + ] + ], + "zh": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + # Chinese doesn't typically use abbreviations in the same way as Latin-based scripts. + ] + ], + "cs": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("dr", "doktor"), # doctor + ("ing", "inženýr"), # engineer + ("p", "pan"), # Could also map to pani for woman but no easy way to do it + # Other abbreviations would be specialized and not as common. + ] + ], + "ru": [ + (re.compile("\\b%s\\b" % x[0], re.IGNORECASE), x[1]) + for x in [ + ("г-жа", "госпожа"), # Mrs. + ("г-н", "господин"), # Mr. + ("д-р", "доктор"), # doctor + # Other abbreviations are less common or specialized. + ] + ], + "nl": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("dhr", "de heer"), # Mr. + ("mevr", "mevrouw"), # Mrs. + ("dr", "dokter"), # doctor + ("jhr", "jonkheer"), # young lord or nobleman + # Dutch uses more abbreviations, but these are the most common ones. + ] + ], + "tr": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("b", "bay"), # Mr. + ("byk", "büyük"), # büyük + ("dr", "doktor"), # doctor + # Add other Turkish abbreviations here if needed. + ] + ], + "hu": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("dr", "doktor"), # doctor + ("b", "bácsi"), # Mr. + ("nőv", "nővér"), # nurse + # Add other Hungarian abbreviations here if needed. + ] + ], + "ko": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + # Korean doesn't typically use abbreviations in the same way as Latin-based scripts. + ] + ], + "ja": [ + (re.compile("\\b%s\\b" % x[0]), x[1]) + for x in [ + ("氏", "さん"), # Mr. + ("夫人", "おんなのひと"), # Mrs. + ("博士", "はかせ"), # Doctor or PhD + ("株", "株式会社"), # Corporation + ("有", "有限会社"), # Limited company + ("大学", "だいがく"), # University + ("先生", "せんせい"), # Teacher/Professor/Master + ("君", "くん") # Used at the end of boys' names to express familiarity or affection. + ] + ], +} + + +def expand_abbreviations_multilingual(text, lang="en"): + for regex, replacement in _abbreviations[lang]: + text = re.sub(regex, replacement, text) + return text + + +_symbols_multilingual = { + "en": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " and "), + ("@", " at "), + ("%", " percent "), + ("#", " hash "), + ("$", " dollar "), + ("£", " pound "), + ("°", " degree "), + ] + ], + "es": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " y "), + ("@", " arroba "), + ("%", " por ciento "), + ("#", " numeral "), + ("$", " dolar "), + ("£", " libra "), + ("°", " grados "), + ] + ], + "fr": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " et "), + ("@", " arobase "), + ("%", " pour cent "), + ("#", " dièse "), + ("$", " dollar "), + ("£", " livre "), + ("°", " degrés "), + ] + ], + "de": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " und "), + ("@", " at "), + ("%", " prozent "), + ("#", " raute "), + ("$", " dollar "), + ("£", " pfund "), + ("°", " grad "), + ] + ], + "pt": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " e "), + ("@", " arroba "), + ("%", " por cento "), + ("#", " cardinal "), + ("$", " dólar "), + ("£", " libra "), + ("°", " graus "), + ] + ], + "it": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " e "), + ("@", " chiocciola "), + ("%", " per cento "), + ("#", " cancelletto "), + ("$", " dollaro "), + ("£", " sterlina "), + ("°", " gradi "), + ] + ], + "pl": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " i "), + ("@", " małpa "), + ("%", " procent "), + ("#", " krzyżyk "), + ("$", " dolar "), + ("£", " funt "), + ("°", " stopnie "), + ] + ], + "ar": [ + # Arabic + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " و "), + ("@", " على "), + ("%", " في المئة "), + ("#", " رقم "), + ("$", " دولار "), + ("£", " جنيه "), + ("°", " درجة "), + ] + ], + "zh": [ + # Chinese + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " 和 "), + ("@", " 在 "), + ("%", " 百分之 "), + ("#", " 号 "), + ("$", " 美元 "), + ("£", " 英镑 "), + ("°", " 度 "), + ] + ], + "cs": [ + # Czech + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " a "), + ("@", " na "), + ("%", " procento "), + ("#", " křížek "), + ("$", " dolar "), + ("£", " libra "), + ("°", " stupně "), + ] + ], + "ru": [ + # Russian + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " и "), + ("@", " собака "), + ("%", " процентов "), + ("#", " номер "), + ("$", " доллар "), + ("£", " фунт "), + ("°", " градус "), + ] + ], + "nl": [ + # Dutch + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " en "), + ("@", " bij "), + ("%", " procent "), + ("#", " hekje "), + ("$", " dollar "), + ("£", " pond "), + ("°", " graden "), + ] + ], + "tr": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " ve "), + ("@", " at "), + ("%", " yüzde "), + ("#", " diyez "), + ("$", " dolar "), + ("£", " sterlin "), + ("°", " derece "), + ] + ], + "hu": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " és "), + ("@", " kukac "), + ("%", " százalék "), + ("#", " kettőskereszt "), + ("$", " dollár "), + ("£", " font "), + ("°", " fok "), + ] + ], + "ko": [ + # Korean + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " 그리고 "), + ("@", " 에 "), + ("%", " 퍼센트 "), + ("#", " 번호 "), + ("$", " 달러 "), + ("£", " 파운드 "), + ("°", " 도 "), + ] + ], + "ja": [ + (re.compile(r"%s" % re.escape(x[0])), x[1]) + for x in [ + ("&", " と "), + ("@", " アットマーク "), + ("%", " パーセント "), + ("#", " ナンバー "), + ("$", " ドル "), + ("£", " ポンド "), + ("°", " 度"), + ] + ], +} + + +def expand_symbols_multilingual(text, lang="en"): + for regex, replacement in _symbols_multilingual[lang]: + text = re.sub(regex, replacement, text) + text = text.replace(" ", " ") # Ensure there are no double spaces + return text.strip() + + +_ordinal_re = { + "en": re.compile(r"([0-9]+)(st|nd|rd|th)"), + "es": re.compile(r"([0-9]+)(º|ª|er|o|a|os|as)"), + "fr": re.compile(r"([0-9]+)(º|ª|er|re|e|ème)"), + "de": re.compile(r"([0-9]+)(st|nd|rd|th|º|ª|\.(?=\s|$))"), + "pt": re.compile(r"([0-9]+)(º|ª|o|a|os|as)"), + "it": re.compile(r"([0-9]+)(º|°|ª|o|a|i|e)"), + "pl": re.compile(r"([0-9]+)(º|ª|st|nd|rd|th)"), + "ar": re.compile(r"([0-9]+)(ون|ين|ث|ر|ى)"), + "cs": re.compile(r"([0-9]+)\.(?=\s|$)"), # In Czech, a dot is often used after the number to indicate ordinals. + "ru": re.compile(r"([0-9]+)(-й|-я|-е|-ое|-ье|-го)"), + "nl": re.compile(r"([0-9]+)(de|ste|e)"), + "tr": re.compile(r"([0-9]+)(\.|inci|nci|uncu|üncü|\.)"), + "hu": re.compile(r"([0-9]+)(\.|adik|edik|odik|edik|ödik|ödike|ik)"), + "ko": re.compile(r"([0-9]+)(번째|번|차|째)"), + "ja": re.compile(r"([0-9]+)(番|回|つ|目|等|位)") +} +_number_re = re.compile(r"[0-9]+") +_currency_re = { + "USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"), + "GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"), + "EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"), +} + +_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b") +_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b") +_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)") + + +def _remove_commas(m): + text = m.group(0) + if "," in text: + text = text.replace(",", "") + return text + + +def _remove_dots(m): + text = m.group(0) + if "." in text: + text = text.replace(".", "") + return text + + +def _expand_decimal_point(m, lang="en"): + amount = m.group(1).replace(",", ".") + return num2words(float(amount), lang=lang if lang != "cs" else "cz") + + +def _expand_currency(m, lang="en", currency="USD"): + amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", ".")))) + full_amount = num2words(amount, to="currency", currency=currency, lang=lang if lang != "cs" else "cz") + + and_equivalents = { + "en": ", ", + "es": " con ", + "fr": " et ", + "de": " und ", + "pt": " e ", + "it": " e ", + "pl": ", ", + "cs": ", ", + "ru": ", ", + "nl": ", ", + "ar": ", ", + "tr": ", ", + "hu": ", ", + "ko": ", ", + } + + if amount.is_integer(): + last_and = full_amount.rfind(and_equivalents[lang]) + if last_and != -1: + full_amount = full_amount[:last_and] + + return full_amount + + +def _expand_ordinal(m, lang="en"): + return num2words(int(m.group(1)), ordinal=True, lang=lang if lang != "cs" else "cz") + + +def _expand_number(m, lang="en"): + return num2words(int(m.group(0)), lang=lang if lang != "cs" else "cz") + + +def expand_numbers_multilingual(text, lang="en"): + if lang == "zh": + text = zh_num2words()(text) + else: + if lang in ["en", "ru"]: + text = re.sub(_comma_number_re, _remove_commas, text) + else: + text = re.sub(_dot_number_re, _remove_dots, text) + try: + text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text) + text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text) + text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text) + except: + pass + if lang != "tr": + text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text) + text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text) + text = re.sub(_number_re, lambda m: _expand_number(m, lang), text) + return text + + +def lowercase(text): + return text.lower() + + +def collapse_whitespace(text): + return re.sub(_whitespace_re, " ", text) + + +def multilingual_cleaners(text, lang): + text = text.replace('"', "") + if lang == "tr": + text = text.replace("İ", "i") + text = text.replace("Ö", "ö") + text = text.replace("Ü", "ü") + text = lowercase(text) + text = expand_numbers_multilingual(text, lang) + text = expand_abbreviations_multilingual(text, lang) + text = expand_symbols_multilingual(text, lang=lang) + text = collapse_whitespace(text) + return text + + +def basic_cleaners(text): + """Basic pipeline that lowercases and collapses whitespace without transliteration.""" + text = lowercase(text) + text = collapse_whitespace(text) + return text + + +def chinese_transliterate(text): + return "".join( + [p[0] for p in pypinyin.pinyin(text, style=pypinyin.Style.TONE3, heteronym=False, neutral_tone_with_five=True)] + ) + + +def japanese_cleaners(text, katsu): + text = katsu.romaji(text) + text = lowercase(text) + return text + + +def korean_transliterate(text): + r = Transliter(academic) + return r.translit(text) + + +DEFAULT_VOCAB_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "../data/tokenizer.json") + + +class VoiceBpeTokenizer: + def __init__(self, vocab_file=None): + self.tokenizer = None + if vocab_file is not None: + self.tokenizer = Tokenizer.from_file(vocab_file) + self.char_limits = { + "en": 250, + "de": 253, + "fr": 273, + "es": 239, + "it": 213, + "pt": 203, + "pl": 224, + "zh": 82, + "ar": 166, + "cs": 186, + "ru": 182, + "nl": 251, + "tr": 226, + "ja": 71, + "hu": 224, + "ko": 95, + } + + @cached_property + def katsu(self): + import cutlet + + return cutlet.Cutlet() + + def check_input_length(self, txt, lang): + lang = lang.split("-")[0] # remove the region + limit = self.char_limits.get(lang, 250) + if len(txt) > limit: + print( + f"[!] Warning: The text length exceeds the character limit of {limit} for language '{lang}', this might cause truncated audio." + ) + + def preprocess_text(self, txt, lang): + if lang in {"ar", "cs", "de", "en", "es", "fr", "hu", "it", "nl", "pl", "pt", "ru", "tr", "zh", "ko"}: + txt = multilingual_cleaners(txt, lang) + if lang == "zh": + txt = chinese_transliterate(txt) + if lang == "ko": + txt = korean_transliterate(txt) + elif lang == "ja": + txt = japanese_cleaners(txt, self.katsu) + elif lang == "hi": + # @manmay will implement this + txt = basic_cleaners(txt) + else: + raise NotImplementedError(f"Language '{lang}' is not supported.") + return txt + + def encode(self, txt, lang): + lang = lang.split("-")[0] # remove the region + self.check_input_length(txt, lang) + txt = self.preprocess_text(txt, lang) + lang = "zh-cn" if lang == "zh" else lang + txt = f"[{lang}]{txt}" + txt = txt.replace(" ", "[SPACE]") + return self.tokenizer.encode(txt).ids + + def decode(self, seq): + if isinstance(seq, torch.Tensor): + seq = seq.cpu().numpy() + txt = self.tokenizer.decode(seq, skip_special_tokens=False).replace(" ", "") + txt = txt.replace("[SPACE]", " ") + txt = txt.replace("[STOP]", "") + txt = txt.replace("[UNK]", "") + return txt + + def __len__(self): + return self.tokenizer.get_vocab_size() + + def get_number_tokens(self): + return max(self.tokenizer.get_vocab().values()) + 1 + + +def test_expand_numbers_multilingual(): + test_cases = [ + # English + ("In 12.5 seconds.", "In twelve point five seconds.", "en"), + ("There were 50 soldiers.", "There were fifty soldiers.", "en"), + ("This is a 1st test", "This is a first test", "en"), + ("That will be $20 sir.", "That will be twenty dollars sir.", "en"), + ("That will be 20€ sir.", "That will be twenty euro sir.", "en"), + ("That will be 20.15€ sir.", "That will be twenty euro, fifteen cents sir.", "en"), + ("That's 100,000.5.", "That's one hundred thousand point five.", "en"), + # French + ("En 12,5 secondes.", "En douze virgule cinq secondes.", "fr"), + ("Il y avait 50 soldats.", "Il y avait cinquante soldats.", "fr"), + ("Ceci est un 1er test", "Ceci est un premier test", "fr"), + ("Cela vous fera $20 monsieur.", "Cela vous fera vingt dollars monsieur.", "fr"), + ("Cela vous fera 20€ monsieur.", "Cela vous fera vingt euros monsieur.", "fr"), + ("Cela vous fera 20,15€ monsieur.", "Cela vous fera vingt euros et quinze centimes monsieur.", "fr"), + ("Ce sera 100.000,5.", "Ce sera cent mille virgule cinq.", "fr"), + # German + ("In 12,5 Sekunden.", "In zwölf Komma fünf Sekunden.", "de"), + ("Es gab 50 Soldaten.", "Es gab fünfzig Soldaten.", "de"), + ("Dies ist ein 1. Test", "Dies ist ein erste Test", "de"), # Issue with gender + ("Das macht $20 Herr.", "Das macht zwanzig Dollar Herr.", "de"), + ("Das macht 20€ Herr.", "Das macht zwanzig Euro Herr.", "de"), + ("Das macht 20,15€ Herr.", "Das macht zwanzig Euro und fünfzehn Cent Herr.", "de"), + # Spanish + ("En 12,5 segundos.", "En doce punto cinco segundos.", "es"), + ("Había 50 soldados.", "Había cincuenta soldados.", "es"), + ("Este es un 1er test", "Este es un primero test", "es"), + ("Eso le costará $20 señor.", "Eso le costará veinte dólares señor.", "es"), + ("Eso le costará 20€ señor.", "Eso le costará veinte euros señor.", "es"), + ("Eso le costará 20,15€ señor.", "Eso le costará veinte euros con quince céntimos señor.", "es"), + # Italian + ("In 12,5 secondi.", "In dodici virgola cinque secondi.", "it"), + ("C'erano 50 soldati.", "C'erano cinquanta soldati.", "it"), + ("Questo è un 1° test", "Questo è un primo test", "it"), + ("Ti costerà $20 signore.", "Ti costerà venti dollari signore.", "it"), + ("Ti costerà 20€ signore.", "Ti costerà venti euro signore.", "it"), + ("Ti costerà 20,15€ signore.", "Ti costerà venti euro e quindici centesimi signore.", "it"), + # Portuguese + ("Em 12,5 segundos.", "Em doze vírgula cinco segundos.", "pt"), + ("Havia 50 soldados.", "Havia cinquenta soldados.", "pt"), + ("Este é um 1º teste", "Este é um primeiro teste", "pt"), + ("Isso custará $20 senhor.", "Isso custará vinte dólares senhor.", "pt"), + ("Isso custará 20€ senhor.", "Isso custará vinte euros senhor.", "pt"), + ( + "Isso custará 20,15€ senhor.", + "Isso custará vinte euros e quinze cêntimos senhor.", + "pt", + ), # "cêntimos" should be "centavos" num2words issue + # Polish + ("W 12,5 sekundy.", "W dwanaście przecinek pięć sekundy.", "pl"), + ("Było 50 żołnierzy.", "Było pięćdziesiąt żołnierzy.", "pl"), + ("To będzie kosztować 20€ panie.", "To będzie kosztować dwadzieścia euro panie.", "pl"), + ("To będzie kosztować 20,15€ panie.", "To będzie kosztować dwadzieścia euro, piętnaście centów panie.", "pl"), + # Arabic + ("في الـ 12,5 ثانية.", "في الـ اثنا عشر , خمسون ثانية.", "ar"), + ("كان هناك 50 جنديًا.", "كان هناك خمسون جنديًا.", "ar"), + # ("ستكون النتيجة $20 يا سيد.", 'ستكون النتيجة عشرون دولار يا سيد.', 'ar'), # $ and € are mising from num2words + # ("ستكون النتيجة 20€ يا سيد.", 'ستكون النتيجة عشرون يورو يا سيد.', 'ar'), + # Czech + ("Za 12,5 vteřiny.", "Za dvanáct celá pět vteřiny.", "cs"), + ("Bylo tam 50 vojáků.", "Bylo tam padesát vojáků.", "cs"), + ("To bude stát 20€ pane.", "To bude stát dvacet euro pane.", "cs"), + ("To bude 20.15€ pane.", "To bude dvacet euro, patnáct centů pane.", "cs"), + # Russian + ("Через 12.5 секунды.", "Через двенадцать запятая пять секунды.", "ru"), + ("Там было 50 солдат.", "Там было пятьдесят солдат.", "ru"), + ("Это будет 20.15€ сэр.", "Это будет двадцать евро, пятнадцать центов сэр.", "ru"), + ("Это будет стоить 20€ господин.", "Это будет стоить двадцать евро господин.", "ru"), + # Dutch + ("In 12,5 seconden.", "In twaalf komma vijf seconden.", "nl"), + ("Er waren 50 soldaten.", "Er waren vijftig soldaten.", "nl"), + ("Dat wordt dan $20 meneer.", "Dat wordt dan twintig dollar meneer.", "nl"), + ("Dat wordt dan 20€ meneer.", "Dat wordt dan twintig euro meneer.", "nl"), + # Chinese (Simplified) + ("在12.5秒内", "在十二点五秒内", "zh"), + ("有50名士兵", "有五十名士兵", "zh"), + # ("那将是$20先生", '那将是二十美元先生', 'zh'), currency doesn't work + # ("那将是20€先生", '那将是二十欧元先生', 'zh'), + # Turkish + # ("12,5 saniye içinde.", 'On iki virgül beş saniye içinde.', 'tr'), # decimal doesn't work for TR + ("50 asker vardı.", "elli asker vardı.", "tr"), + ("Bu 1. test", "Bu birinci test", "tr"), + # ("Bu 100.000,5.", 'Bu yüz bin virgül beş.', 'tr'), + # Hungarian + ("12,5 másodperc alatt.", "tizenkettő egész öt tized másodperc alatt.", "hu"), + ("50 katona volt.", "ötven katona volt.", "hu"), + ("Ez az 1. teszt", "Ez az első teszt", "hu"), + # Korean + ("12.5 초 안에.", "십이 점 다섯 초 안에.", "ko"), + ("50 명의 병사가 있었다.", "오십 명의 병사가 있었다.", "ko"), + ("이것은 1 번째 테스트입니다", "이것은 첫 번째 테스트입니다", "ko"), + ] + for a, b, lang in test_cases: + out = expand_numbers_multilingual(a, lang=lang) + assert out == b, f"'{out}' vs '{b}'" + + +def test_abbreviations_multilingual(): + test_cases = [ + # English + ("Hello Mr. Smith.", "Hello mister Smith.", "en"), + ("Dr. Jones is here.", "doctor Jones is here.", "en"), + # Spanish + ("Hola Sr. Garcia.", "Hola señor Garcia.", "es"), + ("La Dra. Martinez es muy buena.", "La doctora Martinez es muy buena.", "es"), + # French + ("Bonjour Mr. Dupond.", "Bonjour monsieur Dupond.", "fr"), + ("Mme. Moreau est absente aujourd'hui.", "madame Moreau est absente aujourd'hui.", "fr"), + # German + ("Frau Dr. Müller ist sehr klug.", "Frau doktor Müller ist sehr klug.", "de"), + # Portuguese + ("Olá Sr. Silva.", "Olá senhor Silva.", "pt"), + ("Dra. Costa, você está disponível?", "doutora Costa, você está disponível?", "pt"), + # Italian + ("Buongiorno, Sig. Rossi.", "Buongiorno, signore Rossi.", "it"), + # ("Sig.ra Bianchi, posso aiutarti?", 'signora Bianchi, posso aiutarti?', 'it'), # Issue with matching that pattern + # Polish + ("Dzień dobry, P. Kowalski.", "Dzień dobry, pani Kowalski.", "pl"), + ("M. Nowak, czy mogę zadać pytanie?", "pan Nowak, czy mogę zadać pytanie?", "pl"), + # Czech + ("P. Novák", "pan Novák", "cs"), + ("Dr. Vojtěch", "doktor Vojtěch", "cs"), + # Dutch + ("Dhr. Jansen", "de heer Jansen", "nl"), + ("Mevr. de Vries", "mevrouw de Vries", "nl"), + # Russian + ("Здравствуйте Г-н Иванов.", "Здравствуйте господин Иванов.", "ru"), + ("Д-р Смирнов здесь, чтобы увидеть вас.", "доктор Смирнов здесь, чтобы увидеть вас.", "ru"), + # Turkish + ("Merhaba B. Yılmaz.", "Merhaba bay Yılmaz.", "tr"), + ("Dr. Ayşe burada.", "doktor Ayşe burada.", "tr"), + # Hungarian + ("Dr. Szabó itt van.", "doktor Szabó itt van.", "hu"), + ] + + for a, b, lang in test_cases: + out = expand_abbreviations_multilingual(a, lang=lang) + assert out == b, f"'{out}' vs '{b}'" + + +def test_symbols_multilingual(): + test_cases = [ + ("I have 14% battery", "I have 14 percent battery", "en"), + ("Te veo @ la fiesta", "Te veo arroba la fiesta", "es"), + ("J'ai 14° de fièvre", "J'ai 14 degrés de fièvre", "fr"), + ("Die Rechnung beträgt £ 20", "Die Rechnung beträgt pfund 20", "de"), + ("O meu email é ana&joao@gmail.com", "O meu email é ana e joao arroba gmail.com", "pt"), + ("linguaggio di programmazione C#", "linguaggio di programmazione C cancelletto", "it"), + ("Moja temperatura to 36.6°", "Moja temperatura to 36.6 stopnie", "pl"), + ("Mám 14% baterie", "Mám 14 procento baterie", "cs"), + ("Těším se na tebe @ party", "Těším se na tebe na party", "cs"), + ("У меня 14% заряда", "У меня 14 процентов заряда", "ru"), + ("Я буду @ дома", "Я буду собака дома", "ru"), + ("Ik heb 14% batterij", "Ik heb 14 procent batterij", "nl"), + ("Ik zie je @ het feest", "Ik zie je bij het feest", "nl"), + ("لدي 14% في البطارية", "لدي 14 في المئة في البطارية", "ar"), + ("我的电量为 14%", "我的电量为 14 百分之", "zh"), + ("Pilim %14 dolu.", "Pilim yüzde 14 dolu.", "tr"), + ("Az akkumulátorom töltöttsége 14%", "Az akkumulátorom töltöttsége 14 százalék", "hu"), + ("배터리 잔량이 14%입니다.", "배터리 잔량이 14 퍼센트입니다.", "ko"), + ] + + for a, b, lang in test_cases: + out = expand_symbols_multilingual(a, lang=lang) + assert out == b, f"'{out}' vs '{b}'" + + +if __name__ == "__main__": + test_expand_numbers_multilingual() + test_abbreviations_multilingual() + test_symbols_multilingual() diff --git a/components/Universal_TTS_Finetune/web_gui.py b/components/Universal_TTS_Finetune/web_gui.py new file mode 100644 index 0000000..5120699 --- /dev/null +++ b/components/Universal_TTS_Finetune/web_gui.py @@ -0,0 +1,1270 @@ +from __future__ import annotations + +# Patch pkgutil.ImpImporter and importlib.machinery.FileFinder.find_module for Python 3.12 compatibility with older pkg_resources / setuptools +import pkgutil +import importlib.machinery + +if not hasattr(pkgutil, "ImpImporter"): + class DummyImpImporter: + pass + pkgutil.ImpImporter = DummyImpImporter + +if not hasattr(importlib.machinery.FileFinder, "find_module"): + def find_module_shim(self, fullname, path=None): + spec = self.find_spec(fullname, path) + return spec.loader if spec is not None else None + importlib.machinery.FileFinder.find_module = find_module_shim + +# Patch PyTorch 2.6+ to default to weights_only=False in torch.load for compatibility with older checkpoints +try: + import torch + if hasattr(torch, "load"): + original_load = torch.load + def patched_load(*args, **kwargs): + if "weights_only" not in kwargs: + kwargs["weights_only"] = False + return original_load(*args, **kwargs) + torch.load = patched_load +except ImportError: + pass + +import argparse +import os +import re +import json +from pathlib import Path + +import gradio as gr + +from utils.pipeline import ( + default_test_output, + dropdown_choices, + find_latest_artifacts, + format_exception, + load_artifacts, + prepare_dataset, + synthesize, + train_model, + pause_training, + resume_training, +) + +LANGUAGE_CHOICES = [ + "en", + "es", + "fr", + "de", + "it", + "pt", + "pl", + "tr", + "ru", + "nl", + "cs", + "ar", + "zh", + "hu", + "ko", + "ja", +] +WHISPER_CHOICES = ["large-v3", "large-v2", "large", "distil-large-v3", "distil-large-v2", "medium", "medium.en", "small", "small.en", "base", "base.en", "tiny", "tiny.en"] +MODEL_CHOICES = [(label, key) for key, label in dropdown_choices()] + + +class PreprocessProgressTracker: + def __init__(self, progress_bar: gr.Progress): + self.progress_bar = progress_bar + self.last_fraction = 0.0 + + def __call__(self, message: str) -> None: + if "complete" in message.lower() or "finished" in message.lower(): + self.last_fraction = 1.0 + self.progress_bar(1.0, desc=message) + return + + match = re.search(r"Processing\s+(\d+)\s*/\s*(\d+)", message) + if match: + curr = int(match.group(1)) + total = int(match.group(2)) + self.last_fraction = 0.8 * (curr / total) + self.progress_bar(self.last_fraction, desc=message) + return + + match2 = re.search(r"Extracting voice blueprints:\s*(\d+)\s*/\s*(\d+)", message) + if match2: + curr = int(match2.group(1)) + total = int(match2.group(2)) + self.last_fraction = 0.8 + 0.15 * (curr / total) + self.progress_bar(self.last_fraction, desc=message) + return + + self.progress_bar(self.last_fraction, desc=message[:60] + "..." if len(message) > 60 else message) + + +class TrainingProgressTracker: + def __init__(self, progress_bar: gr.Progress, total_epochs: int): + self.progress_bar = progress_bar + self.total_epochs = total_epochs + self.current_epoch = 0 + self.start_epoch = None + + def __call__(self, log_line: str) -> None: + if "complete" in log_line.lower() or "finished" in log_line.lower(): + self.progress_bar(1.0, desc=log_line.strip()) + return + + epoch_match = re.search(r"Epoch\s+(\d+)\s*/\s*(\d+)", log_line) + if epoch_match: + epoch_num = int(epoch_match.group(1)) + total_num = int(epoch_match.group(2)) + if self.start_epoch is None: + self.start_epoch = epoch_num + self.current_epoch = epoch_num + self.total_epochs = max(total_num - self.start_epoch, 1) + relative_epoch = self.current_epoch - self.start_epoch + else: + epoch_match2 = re.search(r"Epoch\s*:\s*(\d+)", log_line, re.IGNORECASE) + if not epoch_match2: + epoch_match2 = re.search(r"epoch\s*=\s*(\d+)", log_line, re.IGNORECASE) + if epoch_match2: + epoch_num = int(epoch_match2.group(1)) + if self.start_epoch is None: + self.start_epoch = epoch_num + self.current_epoch = epoch_num + relative_epoch = self.current_epoch - self.start_epoch + else: + relative_epoch = None + + if relative_epoch is not None and self.total_epochs > 0: + fraction = min(max(relative_epoch / self.total_epochs, 0.0), 1.0) + self.progress_bar(fraction, desc=f"Training: Epoch {self.current_epoch}/{self.total_epochs + (self.start_epoch or 0)}") + else: + clean = log_line.strip() + if clean: + desc = clean[:60] + "..." if len(clean) > 60 else clean + if self.total_epochs > 0 and self.current_epoch > 0: + start = self.start_epoch or 0 + rel = self.current_epoch - start + fraction = min(max(rel / self.total_epochs, 0.0), 1.0) + else: + fraction = 0.0 + self.progress_bar(fraction, desc=desc) + + +def list_datasets(output_root: str | None) -> list[str]: + if not output_root: + return [] + try: + base = Path(output_root) / "dataset" + if not base.exists(): + return [] + paths = [] + for p in base.iterdir(): + if p.is_dir() and ((p / "metadata.csv").exists() or (p / "metadata_train.csv").exists()): + paths.append(str(p.resolve())) + return sorted(paths) + except Exception: + return [] + + +def list_trained_models(output_root: str | None, model_key: str | None) -> list[tuple[str, str]]: + if not output_root: + return [] + try: + base = Path(output_root) / "training_runs" + if not base.exists(): + return [] + + choices = [] + search_dirs = [base / model_key] if model_key else list(base.iterdir()) + + for model_dir in search_dirs: + if not model_dir.is_dir(): + continue + for run_dir in model_dir.iterdir(): + if not run_dir.is_dir(): + continue + artifacts_file = run_dir / "ready" / "artifacts.json" + if artifacts_file.exists(): + label = f"{model_dir.name} - {run_dir.name}" + choices.append((label, str(artifacts_file.resolve()))) + return sorted(choices, key=lambda x: x[0], reverse=True) + except Exception: + return [] + + +def get_adaptive_defaults(model_key: str, dataset_dir: gr.Dropdown | str | None) -> tuple[int, int]: + epochs = 10 + batch_size = 8 + + resolved_dir = None + if dataset_dir: + val = getattr(dataset_dir, "value", dataset_dir) + if isinstance(val, str) and val.strip(): + resolved_dir = val.strip() + + duration_seconds = 0.0 + if resolved_dir: + try: + info_file = Path(resolved_dir) / "dataset_info.json" + if info_file.exists(): + info = json.loads(info_file.read_text(encoding="utf-8")) + duration_seconds = float(info.get("total_audio_seconds", 0.0)) + except Exception: + pass + + is_piper = "piper" in model_key.lower() if model_key else False + + if is_piper: + if duration_seconds == 0: + epochs = 100 + batch_size = 8 + elif duration_seconds < 120: + epochs = 300 + batch_size = 8 + elif duration_seconds < 600: + epochs = 150 + batch_size = 8 + else: + epochs = 80 + batch_size = 16 + else: + if duration_seconds == 0: + epochs = 10 + batch_size = 8 + elif duration_seconds < 120: + epochs = 12 + batch_size = 4 + elif duration_seconds < 600: + epochs = 8 + batch_size = 4 + else: + epochs = 5 + batch_size = 8 + + return epochs, batch_size + + +def update_dataset_choices(out_root: str | None) -> gr.Dropdown: + choices = list_datasets(out_root) + return gr.update(choices=choices) + + +def update_trained_models(out_root: str | None, model_key: str | None) -> gr.Dropdown: + choices = list_trained_models(out_root, model_key) + val = choices[0][1] if choices else None + return gr.update(choices=choices, value=val) + + +def update_resume_models(out_root: str | None, model_key: str | None) -> gr.Dropdown: + choices = [("None", "")] + list_trained_models(out_root, model_key) + return gr.update(choices=choices, value="") + + +def resolve_resume_checkpoint(artifacts_file_path: str) -> str: + if not artifacts_file_path: + return "" + try: + with open(artifacts_file_path, "r", encoding="utf-8") as f: + artifacts = json.load(f) + family = artifacts.get("family") + training_root = Path(artifacts.get("training_root")) + + if family == "piper": + # Search for .ckpt files in the training root (or preprocessed/lightning_logs) + from utils.pipeline import _latest_matching_file + ckpt = _latest_matching_file(training_root, ["**/*.ckpt", "*.ckpt"]) + if ckpt: + return str(ckpt.resolve()) + else: + # Search for best_model.pth or other .pth files in workspace + from utils.pipeline import _latest_matching_file + pth = _latest_matching_file(training_root / "workspace", ["**/best_model.pth", "**/*.pth"]) + if pth: + return str(pth.resolve()) + # Fallback to ready checkpoint if workspace is cleaned up or empty + ready_pth = Path(artifacts.get("checkpoint")) + if ready_pth.exists(): + return str(ready_pth.resolve()) + except Exception as e: + print(f"Error resolving resume checkpoint: {e}") + return "" + + +def _path_value(value): + return getattr(value, "name", value) if value else None + + +def _gradio_progress(progress: gr.Progress | None): + if progress is None: + return None + + def callback(message: str) -> None: + progress(0, desc=message) + + return callback + + +def _clean_audio_path(path_val): + if not path_val: + return None + try: + p = Path(path_val) + if p.exists() and p.is_file(): + return str(p.resolve()) + except Exception: + pass + return None + + +def preprocess_dataset( + audio_files, audio_dir, transcript_file, language, whisper_model, out_path, dataset_name, diarize_speakers, + expected_speakers=0, diarize_threshold=0.3, + generate_synthetic=False, synthetic_audio_file=None, synthetic_vtt_file=None, + auto_split_sentences=True, + progress=gr.Progress() +): + try: + tracker = PreprocessProgressTracker(progress) + + if generate_synthetic: + if not synthetic_audio_file: + raise ValueError("Synthetic data import active, but no synthesized audiobook file was uploaded.") + if not synthetic_vtt_file: + raise ValueError("Synthetic data import active, but no matching .vtt file was uploaded.") + + resolved_audio = _path_value(synthetic_audio_file) + resolved_vtt = _path_value(synthetic_vtt_file) + + audio_files = [resolved_audio] + audio_dir = None + transcript_file = resolved_vtt + diarize_speakers = False + + result = prepare_dataset( + output_root=out_path, + audio_files=audio_files, + audio_dir=audio_dir or None, + transcript_file=_path_value(transcript_file), + language=language, + whisper_model_name=whisper_model, + dataset_name=dataset_name or "LJSpeech-1.1", + diarize_speakers=diarize_speakers, + expected_speakers=int(expected_speakers or 0), + diarize_threshold=float(diarize_threshold or 0.3), + auto_split_sentences=auto_split_sentences, + progress=tracker, + ) + + speakers_list = result.get("all_speakers", []) + speaker_choices = [] + + if speakers_list: + for s in speakers_list: + dir_name = Path(s["dataset_dir"]).name + label = f"{dir_name} (Duration: {s['total_audio_seconds']}s, Clips: {s['created_sample_count']})" + speaker_choices.append((label, s["dataset_dir"])) + + message = f"Dataset split into {len(speakers_list)} speakers. Select speaker below to preview and activate." + default_speaker_dir = speakers_list[0]["dataset_dir"] + default_ref = speakers_list[0]["reference_wav"] + default_info = f"**Dataset path**: `{default_speaker_dir}`\n**Duration**: {speakers_list[0]['total_audio_seconds']} seconds\n**Total clips**: {speakers_list[0]['created_sample_count']}" + else: + message = f"Dataset ready with {result['created_sample_count']} samples at {result['dataset_dir']}" + default_speaker_dir = result["dataset_dir"] + default_ref = result["reference_wav"] + default_info = f"**Dataset path**: `{default_speaker_dir}`\n**Duration**: {result['total_audio_seconds']} seconds\n**Total clips**: {result['created_sample_count']}" + + choices = list_datasets(out_path) + if default_speaker_dir not in choices: + choices.append(default_speaker_dir) + choices = sorted(choices) + + show_speakers = gr.update(visible=bool(speakers_list), choices=speaker_choices, value=default_speaker_dir if speakers_list else None) + show_container = gr.update(visible=bool(speakers_list)) + return ( + message, + default_speaker_dir, + result["metadata_train"], + result["metadata_val"], + default_ref, + gr.update(choices=choices, value=default_speaker_dir), + _clean_audio_path(default_ref), + show_speakers, + show_container, + _clean_audio_path(default_ref), + default_info, + speakers_list, + ) + except Exception as exc: + return ( + format_exception(exc), "", "", "", "", + gr.update(choices=list_datasets(out_path), value=None), None, + gr.update(visible=False, choices=[]), gr.update(visible=False), + None, "", [] + ) + + +def preprocess_re_diarize(dataset_dir, expected_speakers, diarize_threshold, out_path, progress=gr.Progress()): + try: + if not dataset_dir: + raise ValueError("No dataset directory selected. Please select a valid dataset directory.") + tracker = PreprocessProgressTracker(progress) + from utils.pipeline import re_diarize_dataset + result = re_diarize_dataset( + dataset_dir=dataset_dir, + expected_speakers=int(expected_speakers or 0), + diarize_threshold=float(diarize_threshold or 0.35), + progress=tracker, + ) + + speakers_list = result.get("all_speakers", []) + speaker_choices = [] + + if speakers_list: + for s in speakers_list: + dir_name = Path(s["dataset_dir"]).name + label = f"{dir_name} (Duration: {s['total_audio_seconds']}s, Clips: {s['created_sample_count']})" + speaker_choices.append((label, s["dataset_dir"])) + + message = f"Dataset re-diarized into {len(speakers_list)} speakers. Select speaker below to preview and activate." + default_speaker_dir = speakers_list[0]["dataset_dir"] + default_ref = speakers_list[0]["reference_wav"] + default_info = f"**Dataset path**: `{default_speaker_dir}`\n**Duration**: {speakers_list[0]['total_audio_seconds']} seconds\n**Total clips**: {speakers_list[0]['created_sample_count']}" + else: + message = f"Dataset ready with {result['created_sample_count']} samples at {result['dataset_dir']}" + default_speaker_dir = result["dataset_dir"] + default_ref = result["reference_wav"] + default_info = f"**Dataset path**: `{default_speaker_dir}`\n**Duration**: {result['total_audio_seconds']} seconds\n**Total clips**: {result['created_sample_count']}" + + choices = list_datasets(out_path) + if default_speaker_dir not in choices: + choices.append(default_speaker_dir) + choices = sorted(choices) + + show_speakers = gr.update(visible=bool(speakers_list), choices=speaker_choices, value=default_speaker_dir if speakers_list else None) + show_container = gr.update(visible=bool(speakers_list)) + return ( + message, + default_speaker_dir, + result["metadata_train"], + result["metadata_val"], + default_ref, + gr.update(choices=choices, value=default_speaker_dir), + _clean_audio_path(default_ref), + show_speakers, + show_container, + _clean_audio_path(default_ref), + default_info, + speakers_list, + ) + except Exception as exc: + return ( + format_exception(exc), "", "", "", "", + gr.update(choices=list_datasets(out_path), value=None), None, + gr.update(visible=False, choices=[]), gr.update(visible=False), + None, "", [] + ) + + +def run_training(model_key, dataset_dir, language, num_epochs, batch_size, grad_accum, out_path, max_audio_length, restore_path, use_pretrained, extra_overrides_json, sample_epoch_interval=0, sample_text="", progress=gr.Progress()): + try: + tracker = TrainingProgressTracker(progress, int(num_epochs)) + result = train_model( + model_key=model_key, + output_root=out_path, + dataset_dir=dataset_dir or None, + language=language, + epochs=int(num_epochs), + batch_size=int(batch_size), + grad_accum=int(grad_accum), + max_audio_seconds=int(max_audio_length), + restore_path=restore_path or None, + use_pretrained=use_pretrained, + extra_overrides_json=extra_overrides_json or None, + progress=tracker, + sample_epoch_interval=int(sample_epoch_interval), + sample_text=sample_text, + ) + message = f"Training finished. Ready artifacts saved in {Path(result['training_root']) / 'ready'}" + + updated_models = list_trained_models(out_path, model_key) + new_val = updated_models[0][1] if updated_models else None + + return ( + message, + result["training_root"], + result["artifacts_file"], + result["checkpoint"], + result["config"], + result.get("reference_wav") or None, + result["artifacts_file"], + _clean_audio_path(result.get("reference_wav")), + model_key, + gr.update(choices=updated_models, value=new_val), + gr.update(choices=[("None", "")] + updated_models, value=""), + ) + except Exception as exc: + return format_exception(exc), "", "", "", "", None, "", None, model_key, gr.update(), gr.update() + + +def locate_artifacts(out_path, model_key): + try: + artifacts = find_latest_artifacts(out_path, model_key=model_key or None) + updated_models = list_trained_models(out_path, model_key) + new_val = artifacts["artifacts_file"] + return ( + f"Loaded latest artifacts for {artifacts['model_label']}", + artifacts["training_root"], + artifacts["artifacts_file"], + artifacts["checkpoint"], + artifacts["config"], + artifacts.get("reference_wav") or None, + artifacts["artifacts_file"], + _clean_audio_path(artifacts.get("reference_wav")), + artifacts["model_key"], + gr.update(choices=updated_models, value=new_val), + ) + except Exception as exc: + return format_exception(exc), "", "", "", "", "", "", None, model_key, gr.update() + + +def inspect_artifacts(artifacts_path, model_key): + try: + artifacts = load_artifacts(artifacts_path, model_key=model_key or None) + return ( + f"Artifacts loaded for {artifacts['model_label']}", + artifacts["training_root"], + artifacts["artifacts_file"], + artifacts["checkpoint"], + artifacts["config"], + artifacts.get("reference_wav") or None, + _clean_audio_path(artifacts.get("reference_wav")), + ) + except Exception as exc: + return format_exception(exc), "", "", "", "", None, None + + +def run_inference(artifacts_path, model_key, language, tts_text, speaker_audio_file, out_path, progress=gr.Progress()): + try: + result = synthesize( + artifacts_path_or_dir=artifacts_path, + model_key=model_key or None, + text=tts_text, + language=language, + speaker_wav=speaker_audio_file or None, + output_file=default_test_output(out_path), + progress=_gradio_progress(progress), + ) + return "Speech generated.", _clean_audio_path(result["output_file"]), _clean_audio_path(result.get("speaker_wav")) + except ValueError as exc: + # Display validation/user errors cleanly in the GUI status + return f"Error: {exc}", None, None + except Exception as exc: + return format_exception(exc), None, None + + +def on_model_change(selected_model): + try: + from utils.model_registry import get_model_spec + spec = get_model_spec(selected_model) + req = spec.requires_speaker_wav + except Exception: + req = False + return gr.update(visible=req), gr.update(visible=req) + + +def on_select_speaker(selected_dir, speakers_state): + if not selected_dir or not speakers_state: + return gr.update(), "", None, "", gr.update() + + speaker_info = next((s for s in speakers_state if s["dataset_dir"] == selected_dir), None) + if not speaker_info: + return gr.update(), "", None, "", gr.update() + + info_md = f"**Dataset path**: `{selected_dir}`\n**Duration**: {speaker_info['total_audio_seconds']} seconds\n**Total clips**: {speaker_info['created_sample_count']}" + ref_wav = speaker_info["reference_wav"] + + return selected_dir, ref_wav, _clean_audio_path(ref_wav), info_md, gr.update(value=selected_dir) + + +def select_trained_model(val): + return val + + +def on_training_params_change(model_key, dataset_dir): + epochs, batch_size = get_adaptive_defaults(model_key, dataset_dir) + return epochs, batch_size + + +def update_training_options(model_key, language, use_pretrained): + try: + from utils.model_registry import get_model_spec + spec = get_model_spec(model_key) + model_label = spec.label + official_model_id = spec.official_model_id + family = spec.family + except Exception as exc: + return f"Error loading model spec: {exc}", gr.update() + + # 1. XTTS family + if family == "xtts": + msg = f"🟢 **{model_label}** is a multilingual model supporting all listed languages.\n\n" + if use_pretrained: + msg += f"Fine-tuning will start from the official pre-trained multilingual checkpoint: `{official_model_id}`." + else: + msg += "**Training from scratch** (random initialization). *Note: training a large GPT model like XTTS from scratch requires massive amounts of data and compute. Fine-tuning is highly recommended.*" + return msg, gr.update(interactive=True) + + # 2. Piper family + elif family == "piper": + from utils.piper_utils import resolve_piper_checkpoint, get_voices_json_languages + try: + checkpoint_info = resolve_piper_checkpoint(language) + resolved_lang = checkpoint_info.get("lang") + normalized_req_lang = language.split("-")[0].split("_")[0].lower() + + # Check if language exists in prebuilt voices.json + prebuilt_exists = False + try: + prebuilt_langs = get_voices_json_languages() + prebuilt_exists = language.lower() in prebuilt_langs or normalized_req_lang in prebuilt_langs + except Exception: + pass + + if resolved_lang == normalized_req_lang: + msg = f"🟢 **Piper TTS** has a pre-trained checkpoint for `{language}`: `{checkpoint_info['voice']}` ({checkpoint_info['quality']}).\n\n" + if use_pretrained: + msg += f"Fine-tuning will download and use the official `{language}` pre-trained checkpoint." + else: + msg += "**Training from scratch** (random initialization). *Note: Training from scratch is not recommended unless you have a very large dataset and plan to train for many steps.*" + return msg, gr.update(interactive=True) + elif prebuilt_exists: + msg = f"🟢 **Piper TTS** has pre-built ONNX models for `{language}` (listed in `voices.json`), but **no official training checkpoint (`.ckpt`)** is hosted in the official `rhasspy/piper-checkpoints` repository.\n\n" + if use_pretrained: + msg += f"Fine-tuning will default to using the English base model (`{checkpoint_info['voice']}`) as a starting point (cross-lingual transfer)." + else: + msg += "**Training from scratch** (random initialization). *Note: Training from scratch is not recommended unless you have a very large dataset and plan to train for many steps.*" + return msg, gr.update(interactive=True) + else: + msg = f"🟡 **Piper TTS** has no official pre-trained checkpoint mapped for `{language}`.\n\n" + if use_pretrained: + msg += f"Fine-tuning will default to using the English base model (`{checkpoint_info['voice']}`) as a starting point (cross-lingual transfer)." + else: + msg += "**Training from scratch** (random initialization). *Note: Training from scratch is not recommended unless you have a very large dataset and plan to train for many steps.*" + return msg, gr.update(interactive=True) + except Exception as e: + msg = f"🟡 **Piper TTS** pre-trained checkpoint check failed: {e}. Defaulting to training from scratch or cross-lingual transfer." + return msg, gr.update(interactive=True) + + # 3. Single-language models + else: + if language == "en": + if official_model_id: + msg = f"🟢 **{model_label}** has a pre-trained English checkpoint mapped: `{official_model_id}`.\n\n" + if use_pretrained: + msg += "Fine-tuning will download and use this pre-trained base model." + else: + msg += "**Training from scratch** (random initialization). This means the model weights start completely blank." + return msg, gr.update(interactive=True) + else: + msg = f"🟡 **{model_label}** has no official pre-trained checkpoint mapped.\n\n" + msg += "**Training from scratch** (random initialization) is required. *Training from scratch means the model starts with random weights and requires a larger dataset (hours of audio) and longer training (e.g. 100k+ steps) to sound intelligible.*" + return msg, gr.update(value=False, interactive=False) + else: + msg = f"❌ **{model_label}** is a single-language model designed for English. There is no pre-trained checkpoint mapped for `{language}`.\n\n" + msg += "**Training from scratch** (random initialization) is required. *Training from scratch means the model starts with random weights and requires a larger dataset (hours of audio) and longer training (e.g. 100k+ steps) to sound intelligible.*\n\n" + msg += f"✨ **Automatic Recipe Optimization**: The backend will dynamically adapt the recipe at runtime to use `\"multilingual_cleaners\"` and the `{language}` phonemizer, ensuring it compiles and trains successfully on your dataset." + return msg, gr.update(value=False, interactive=False) + + +def preprocess_and_train( + audio_files, audio_dir, transcript_file, language, whisper_model, out_path, dataset_name, diarize_speakers, + expected_speakers, diarize_threshold, + generate_synthetic, synthetic_audio_file, synthetic_vtt_file, + model_key, train_language, num_epochs, batch_size, grad_accum, max_audio_length, restore_path, use_pretrained, extra_overrides_json, + sample_epoch_interval, sample_text, + tts_text, + auto_split_sentences=True, + progress=gr.Progress() +): + try: + progress(0, desc="Starting step 1: Preprocessing dataset...") + preprocess_res = preprocess_dataset( + audio_files, audio_dir, transcript_file, language, whisper_model, out_path, dataset_name, diarize_speakers, + expected_speakers, diarize_threshold, + generate_synthetic, synthetic_audio_file, synthetic_vtt_file, + auto_split_sentences, + progress + ) + status_msg, dataset_dir = preprocess_res[0], preprocess_res[1] + if not dataset_dir or "failed" in status_msg.lower(): + train_status_msg = f"Training skipped because dataset preparation failed: {status_msg}" + empty_train = (train_status_msg, "", "", "", "", "", "", None, model_key, gr.update(), gr.update()) + empty_infer = (f"Inference skipped: Preprocessing failed.", None, None) + return empty_train + preprocess_res + empty_infer + + progress(0.4, desc="Preprocessing complete! Starting step 2: Training model...") + + train_res = run_training( + model_key, dataset_dir, train_language, num_epochs, batch_size, grad_accum, out_path, max_audio_length, restore_path, use_pretrained, extra_overrides_json, + sample_epoch_interval, sample_text, + progress + ) + artifacts_file_val = train_res[2] + speaker_ref_val = train_res[7] + + if not artifacts_file_val or "failed" in train_res[0].lower(): + train_status_msg = f"Inference skipped because training failed: {train_res[0]}" + empty_infer = (train_status_msg, None, None) + return train_res + preprocess_res + empty_infer + + progress(0.9, desc="Training complete! Starting step 3: Generating test speech...") + + infer_res = run_inference( + artifacts_file_val, model_key, train_language, tts_text, speaker_ref_val, out_path, progress + ) + return train_res + preprocess_res + infer_res + except Exception as exc: + err = format_exception(exc) + empty_train = (f"Pipeline error: {err}", "", "", "", "", "", "", None, model_key, gr.update(), gr.update()) + empty_prep = (err, "", "", "", "", gr.update(choices=list_datasets(out_path), value=None), None, gr.update(visible=False, choices=[]), gr.update(visible=False), None, "", []) + empty_infer = (f"Pipeline error: {err}", None, None) + return empty_train + empty_prep + empty_infer + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Universal Coqui TTS fine-tuning web UI") + parser.add_argument("--share", action="store_true", default=False) + parser.add_argument("--port", type=int, default=7862) + parser.add_argument("--out_path", type=str, default=str(Path.cwd() / "finetune_models")) + parser.add_argument("--num_epochs", type=int, default=10) + parser.add_argument("--batch_size", type=int, default=8) + parser.add_argument("--grad_acumm", type=int, default=1) + parser.add_argument("--max_audio_length", type=int, default=11) + args = parser.parse_args() + + theme = gr.themes.Origin( + primary_hue="green", + secondary_hue="amber", + neutral_hue="gray", + radius_size="lg", + font_mono=["JetBrains Mono", "monospace", "Consolas", "Menlo", "Liberation Mono"], + ) + + css_str = """ + .primary-btn { + background: linear-gradient(90deg, #22c55e 0%, #eab308 100%) !important; + color: white !important; + border: none !important; + transition: transform 0.15s ease, box-shadow 0.15s ease !important; + } + .primary-btn:hover { + transform: translateY(-1px); + box-shadow: 0 4px 12px rgba(34, 197, 94, 0.4) !important; + } + .primary-btn:active { + transform: translateY(0); + } + """ + + with gr.Blocks(title="Universal TTS Finetune", theme=theme, css=css_str) as demo: + gr.Markdown( + "# Universal TTS Finetune\n" + "Prepare an LJSpeech-style dataset, fine-tune a supported Coqui recipe, and test the trained model." + ) + + with gr.Tab("1 - Prepare dataset"): + out_path = gr.Textbox(label="Output root", value=args.out_path) + dataset_name = gr.Textbox(label="Dataset name", value="dataset_1") + audio_upload = gr.File( + file_count="multiple", + label="Audio files (wav, mp3, flac, m4a, ogg)", + ) + audio_dir = gr.Textbox(label="Audio folder path (optional)", value="") + transcript_file = gr.File(label="Optional transcript map or alignment file (.vtt, .txt, .csv, .tsv, .json)") + auto_split_sentences = gr.Checkbox(label="Auto-split sentences for forced alignment (plain text input)", value=True) + gr.Markdown( + "💡 **How to provide text/transcripts:**\n" + "- **None (Auto-detect / Whisper)**: Leave blank to auto-transcribe. If you point to an **Audio folder path** containing matching `.vtt` or `.txt` files with the exact same base name as your audio files (e.g., `chapter1.mp3` and `chapter1.txt`), the system will automatically match them to slice or run Forced Alignment. Any audio files without matching transcripts will automatically fallback to Whisper.\n" + "- **WebVTT (.vtt)**: Upload a WebVTT file along with the full audiobook file (e.g. generated by `ebook2audiobook`) to slice it instantly with 0% transcription errors.\n" + "- **Plain Text (.txt) - Forced Alignment**: Upload a plain text book file (e.g. converted from ePUB using Calibre) along with a single full audiobook file to run **Forced Alignment**. If the text contains multiple sentences on a line or is a single paragraph, leave **Auto-split sentences for forced alignment** checked to automatically chunk it into sentences.\n" + "- **Transcript Map (.csv, .tsv, .json, or delimited .txt)**: Upload a mapping file of `audio_file|text` matching a folder of pre-split audio files." + ) + language = gr.Dropdown(label="Dataset language", choices=LANGUAGE_CHOICES, value="en") + whisper_model = gr.Dropdown(label="Whisper model", choices=WHISPER_CHOICES, value="small", allow_custom_value=True) + diarize_speakers = gr.Checkbox(label="Diarize speakers (split multi-speaker audio)", value=False) + with gr.Row(visible=False) as diarize_options: + expected_speakers = gr.Slider(label="Expected speaker count (0 for auto)", minimum=0, maximum=20, step=1, value=0) + diarize_threshold = gr.Slider(label="Diarization threshold (distance, only if auto)", minimum=0.05, maximum=1.0, step=0.05, value=0.35) + + # Synthetic Data Generation Option + generate_synthetic = gr.Checkbox( + label="Don't have enough training data? Import synthetic data from ebook2audiobook", + value=False + ) + with gr.Group(visible=False) as synthetic_options: + gr.Markdown("### Import Synthetic Data") + synthetic_audio_file = gr.File( + label="Upload synthesized audiobook (mp3, wav, flac, etc.)", + file_count="single" + ) + synthetic_vtt_file = gr.File( + label="Upload matching .vtt file", + file_count="single" + ) + + def _toggle_synthetic_group(enabled): + return gr.update(visible=enabled) + + generate_synthetic.change( + fn=_toggle_synthetic_group, + inputs=[generate_synthetic], + outputs=[synthetic_options] + ) + + # Speaker preview group (initially hidden) + speakers_state = gr.State([]) + with gr.Group(visible=False) as speakers_container: + gr.Markdown("### Detected Speakers Preview") + speaker_selector = gr.Dropdown(label="Select Speaker", choices=[]) + speaker_preview_audio = gr.Audio(label="Speaker Sample Audio", interactive=False) + speaker_details = gr.Markdown("") + + dataset_status = gr.Textbox(label="Status", interactive=False) + dataset_dir = gr.Textbox(label="Dataset directory") + train_csv = gr.Textbox(label="Train metadata") + val_csv = gr.Textbox(label="Validation metadata") + dataset_reference = gr.Textbox(label="Reference WAV") + with gr.Row(): + prepare_btn = gr.Button(value="Step 1 - Create dataset", elem_classes=["primary-btn"]) + prepare_and_train_btn = gr.Button(value="Create dataset & Start training", variant="secondary") + + with gr.Accordion("Re-diarize an Existing Dataset", open=False): + gr.Markdown("Select a previously created dataset (mixed or diarized) and re-run speaker diarization using updated settings without re-transcribing.") + re_diarize_source = gr.Dropdown( + label="Select dataset to re-diarize", + choices=list_datasets(args.out_path), + value=None, + allow_custom_value=True, + interactive=True, + ) + with gr.Row(): + re_diarize_expected = gr.Slider(label="Expected speaker count (0 for auto)", minimum=0, maximum=20, step=1, value=0) + re_diarize_thresh = gr.Slider(label="Diarization threshold (distance, only if auto)", minimum=0.05, maximum=1.0, step=0.05, value=0.35) + re_diarize_btn = gr.Button(value="Re-diarize Dataset", variant="secondary") + + with gr.Tab("2 - Train model"): + model_key = gr.Dropdown(label="Model", choices=MODEL_CHOICES, value="xtts_v2") + model_checkpoint_warning = gr.Markdown( + value="🟢 **XTTS v2** is a multilingual model supporting all listed languages.\n\nFine-tuning will start from the official pre-trained multilingual checkpoint: `tts_models/multilingual/multi-dataset/xtts_v2`." + ) + train_dataset_dir = gr.Dropdown( + label="Dataset directory", + choices=list_datasets(args.out_path), + value=None, + allow_custom_value=True, + interactive=True, + ) + train_language = gr.Dropdown(label="Model language (XTTS/Piper support multilingual)", choices=LANGUAGE_CHOICES, value="en") + with gr.Row(): + restore_model_dropdown = gr.Dropdown( + label="Resume from previous training run", + choices=[("None", "")] + list_trained_models(args.out_path, "xtts_v2"), + value=None, + interactive=True, + ) + restore_path = gr.Textbox(label="Optional checkpoint to continue from", value="") + use_pretrained = gr.Checkbox(label="Auto-download matching pretrained model when available", value=True) + num_epochs = gr.Slider(label="Epochs", minimum=1, maximum=1000, step=1, value=args.num_epochs) + batch_size = gr.Slider(label="Batch size", minimum=1, maximum=128, step=1, value=args.batch_size) + grad_accum = gr.Slider(label="Grad accumulation", minimum=1, maximum=128, step=1, value=args.grad_acumm) + max_audio_length = gr.Slider(label="Max audio length (seconds)", minimum=2, maximum=30, step=1, value=args.max_audio_length) + extra_overrides_json = gr.Code( + label="Optional config overrides JSON", + language="json", + value="{}", + ) + with gr.Accordion("Periodic Progress Audio Sampling (Piper Only)", open=False): + sample_epoch_interval = gr.Slider( + label="Sample Interval (Epochs)", + minimum=0, + maximum=500, + step=10, + value=0, + info="Generate and save an audio sample every N epochs. Set to 0 to disable." + ) + sample_text = gr.Textbox( + label="Sample Test Phrase", + value="This is a periodic audio sample to test training progress.", + info="Text sentence to synthesize at each interval." + ) + train_status = gr.Textbox(label="Status", interactive=False) + training_root = gr.Textbox(label="Training root") + artifacts_file = gr.Textbox(label="Artifacts file") + checkpoint_path = gr.Textbox(label="Checkpoint path") + config_path = gr.Textbox(label="Config path") + trained_reference = gr.Textbox(label="Reference WAV") + with gr.Row(): + train_btn = gr.Button(value="Step 2 - Train model", elem_classes=["primary-btn"]) + pause_btn = gr.Button(value="Pause Training", variant="secondary") + resume_btn = gr.Button(value="Resume Training", variant="secondary") + latest_btn = gr.Button(value="Load latest trained model") + + with gr.Tab("3 - Inference"): + infer_model_key = gr.Dropdown(label="Model", choices=MODEL_CHOICES, value="xtts_v2") + infer_trained_model = gr.Dropdown( + label="Select previously fine-tuned model", + choices=list_trained_models(args.out_path, "xtts_v2"), + value=None, + interactive=True, + ) + infer_artifacts = gr.Textbox(label="Artifacts file or ready/training folder", value="") + speaker_reference_audio = gr.Audio( + label="Speaker reference audio – drag & drop or click to upload (Required for XTTS)", + type="filepath", + sources=["upload"], + ) + infer_language = gr.Dropdown(label="Inference language", choices=LANGUAGE_CHOICES, value="en") + tts_text = gr.Textbox(label="Input text", value="This fine-tuned model is ready to test.") + infer_status = gr.Textbox(label="Status", interactive=False) + generated_audio = gr.Audio(label="Generated audio") + used_reference_audio = gr.Audio(label="Reference audio used") + inspect_btn = gr.Button(value="Inspect artifacts") + tts_btn = gr.Button(value="Step 3 - Generate speech", elem_classes=["primary-btn"]) + + prepare_btn.click( + fn=preprocess_dataset, + inputs=[ + audio_upload, + audio_dir, + transcript_file, + language, + whisper_model, + out_path, + dataset_name, + diarize_speakers, + expected_speakers, + diarize_threshold, + generate_synthetic, + synthetic_audio_file, + synthetic_vtt_file, + auto_split_sentences, + ], + outputs=[ + dataset_status, + dataset_dir, + train_csv, + val_csv, + dataset_reference, + train_dataset_dir, + speaker_reference_audio, + speaker_selector, + speakers_container, + speaker_preview_audio, + speaker_details, + speakers_state, + ], + ) + + re_diarize_btn.click( + fn=preprocess_re_diarize, + inputs=[ + re_diarize_source, + re_diarize_expected, + re_diarize_thresh, + out_path, + ], + outputs=[ + dataset_status, + dataset_dir, + train_csv, + val_csv, + dataset_reference, + train_dataset_dir, + speaker_reference_audio, + speaker_selector, + speakers_container, + speaker_preview_audio, + speaker_details, + speakers_state, + ], + ) + + re_diarize_source.focus( + fn=lambda op: gr.update(choices=list_datasets(op)), + inputs=[out_path], + outputs=[re_diarize_source], + ) + + prepare_and_train_btn.click( + fn=preprocess_and_train, + inputs=[ + # Preprocessing inputs + audio_upload, + audio_dir, + transcript_file, + language, + whisper_model, + out_path, + dataset_name, + diarize_speakers, + expected_speakers, + diarize_threshold, + generate_synthetic, + synthetic_audio_file, + synthetic_vtt_file, + # Training inputs + model_key, + train_language, + num_epochs, + batch_size, + grad_accum, + max_audio_length, + restore_path, + use_pretrained, + extra_overrides_json, + sample_epoch_interval, + sample_text, + # Inference input + tts_text, + auto_split_sentences, + ], + outputs=[ + # Training outputs (11 items) + train_status, + training_root, + artifacts_file, + checkpoint_path, + config_path, + trained_reference, + infer_artifacts, + speaker_reference_audio, + infer_model_key, + infer_trained_model, + restore_model_dropdown, + # Preprocessing outputs (12 items) + dataset_status, + dataset_dir, + train_csv, + val_csv, + dataset_reference, + train_dataset_dir, + speaker_reference_audio, + speaker_selector, + speakers_container, + speaker_preview_audio, + speaker_details, + speakers_state, + # Inference outputs (3 items) + infer_status, + generated_audio, + used_reference_audio, + ], + ) + + speaker_selector.change( + fn=on_select_speaker, + inputs=[speaker_selector, speakers_state], + outputs=[ + dataset_dir, + dataset_reference, + speaker_preview_audio, + speaker_details, + train_dataset_dir, + ], + ) + + train_btn.click( + fn=run_training, + inputs=[ + model_key, + train_dataset_dir, + train_language, + num_epochs, + batch_size, + grad_accum, + out_path, + max_audio_length, + restore_path, + use_pretrained, + extra_overrides_json, + sample_epoch_interval, + sample_text, + ], + outputs=[ + train_status, + training_root, + artifacts_file, + checkpoint_path, + config_path, + trained_reference, + infer_artifacts, + speaker_reference_audio, + infer_model_key, + infer_trained_model, + restore_model_dropdown, + ], + ) + + latest_btn.click( + fn=locate_artifacts, + inputs=[out_path, model_key], + outputs=[ + train_status, + training_root, + artifacts_file, + checkpoint_path, + config_path, + trained_reference, + infer_artifacts, + speaker_reference_audio, + infer_model_key, + infer_trained_model, + ], + ) + + inspect_btn.click( + fn=inspect_artifacts, + inputs=[infer_artifacts, infer_model_key], + outputs=[ + infer_status, + training_root, + artifacts_file, + checkpoint_path, + config_path, + trained_reference, + speaker_reference_audio, + ], + ) + + tts_btn.click( + fn=run_inference, + inputs=[ + infer_artifacts, + infer_model_key, + infer_language, + tts_text, + speaker_reference_audio, + out_path, + ], + outputs=[infer_status, generated_audio, used_reference_audio], + ) + + def toggle_diarize_options(visible): + return gr.update(visible=visible) + + diarize_speakers.change( + fn=toggle_diarize_options, + inputs=[diarize_speakers], + outputs=[diarize_options], + ) + + model_key.change( + fn=on_model_change, + inputs=[model_key], + outputs=[speaker_reference_audio, used_reference_audio], + ) + model_key.change( + fn=on_training_params_change, + inputs=[model_key, train_dataset_dir], + outputs=[num_epochs, batch_size], + ) + model_key.change( + fn=update_training_options, + inputs=[model_key, train_language, use_pretrained], + outputs=[model_checkpoint_warning, use_pretrained], + ) + train_language.change( + fn=update_training_options, + inputs=[model_key, train_language, use_pretrained], + outputs=[model_checkpoint_warning, use_pretrained], + ) + use_pretrained.change( + fn=lambda m, l, u: update_training_options(m, l, u)[0], + inputs=[model_key, train_language, use_pretrained], + outputs=[model_checkpoint_warning], + ) + + train_dataset_dir.change( + fn=on_training_params_change, + inputs=[model_key, train_dataset_dir], + outputs=[num_epochs, batch_size], + ) + + infer_model_key.change( + fn=on_model_change, + inputs=[infer_model_key], + outputs=[speaker_reference_audio, used_reference_audio], + ) + infer_model_key.change( + fn=update_trained_models, + inputs=[out_path, infer_model_key], + outputs=[infer_trained_model], + ) + + infer_trained_model.change( + fn=select_trained_model, + inputs=[infer_trained_model], + outputs=[infer_artifacts], + ) + + out_path.change( + fn=update_dataset_choices, + inputs=[out_path], + outputs=[train_dataset_dir], + ) + out_path.change( + fn=update_trained_models, + inputs=[out_path, infer_model_key], + outputs=[infer_trained_model], + ) + + def on_restore_dropdown_change(artifacts_path): + if not artifacts_path: + return "" + return resolve_resume_checkpoint(artifacts_path) + + restore_model_dropdown.change( + fn=on_restore_dropdown_change, + inputs=[restore_model_dropdown], + outputs=[restore_path], + ) + + model_key.change( + fn=update_resume_models, + inputs=[out_path, model_key], + outputs=[restore_model_dropdown], + ) + + out_path.change( + fn=update_resume_models, + inputs=[out_path, model_key], + outputs=[restore_model_dropdown], + ) + + pause_btn.click( + fn=pause_training, + inputs=[], + outputs=[train_status], + ) + + resume_btn.click( + fn=resume_training, + inputs=[], + outputs=[train_status], + ) + + demo.load( + fn=update_training_options, + inputs=[model_key, train_language, use_pretrained], + outputs=[model_checkpoint_warning, use_pretrained], + ) + + allowed = [ + str(Path(args.out_path).resolve()), + str(Path.home()), + str(Path.cwd().resolve()), + str(Path.cwd().parent.parent.resolve()) + ] + demo.launch(share=args.share, debug=False, server_port=args.port, allowed_paths=allowed) diff --git a/components/register_package.py b/components/register_package.py new file mode 100644 index 0000000..9191673 --- /dev/null +++ b/components/register_package.py @@ -0,0 +1,21 @@ +import os +import subprocess +import sys + +def read_version(repo_root:str)->str: + with open(os.path.join(repo_root, 'VERSION.txt'), encoding='utf-8') as f: + return f.read().strip() + +def register_package(repo_root:str)->int: + version_str = read_version(repo_root) + print(f'Registering ebook2audiobook {version_str}...') + result = subprocess.run([sys.executable, '-m', 'pip', 'install', '-e', repo_root, '--no-deps', '--root-user-action=ignore']) + if result.returncode != 0: + print('FAILED: pyproject.toml/setup.py did not build. Fix before pushing.') + return 1 + print(f'OK: ebook2audiobook {version_str} registered. Safe to push.') + return 0 + +if __name__ == '__main__': + repo_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + sys.exit(register_package(repo_root)) diff --git a/components/sitecustomize.py b/components/sitecustomize.py new file mode 100644 index 0000000..ee0fc9d --- /dev/null +++ b/components/sitecustomize.py @@ -0,0 +1,160 @@ +""" +Global environment initialization hook. +Executed automatically on Python startup before user code. +Use this for lightweight, idempotent environment patches. + +This version is guaranteed build-safe for: +• PyTorch source builds +• CMake / pip toolchains +• Deep NLP toolchains (stanza, transformers, etc.) +• Jetson CUDA environments + +It patches transformers.check_torch_load_is_safe ONLY if/when transformers is imported. +It replaces torchaudio.load ONLY if/when torchaudio is imported (avoids torchcodec +DLL load failures on PyTorch ROCm/Windows builds). + +Compatible with Python 3.10 → 3.14. +""" + +import sys, os, importlib +from types import ModuleType, FunctionType +from typing import Any + +# Enable debug logging via: +# export DEBUG_SITECUSTOMIZE=1 +debug = os.environ.get('DEBUG_SITECUSTOMIZE') == '1' +def warn(msg: str) -> None: + if debug: + print(f'[sitecustomize] {msg}') + +# ──────────────────────────────────────────────────────── +# SAFETY MODE → skip entirely during PyTorch/CMake builds +# (but DO NOT exit Python — just skip logic) +# ──────────────────────────────────────────────────────── +inactive = any(os.environ.get(v) == '1' for v in [ + 'TORCH_BUILD', 'PYTORCH_BUILD', 'DISABLE_SITECUSTOMIZE' +]) + +if inactive: + warn('inactive (torch build or manual disable)') + patch_enabled = False +else: + patch_enabled = True + +# ───────────────────────────────────────────────────── +# Patch definitions (lazy applied only after modules load) +# ───────────────────────────────────────────────────── +def wrapped_check_torch_load_is_safe(*args: Any, **kwargs: Any) -> None: + warn('patched transformers check_torch_load_is_safe') + return None + +def patch_module(mod: ModuleType, attr='check_torch_load_is_safe') -> None: + if hasattr(mod, attr): + setattr(mod, attr, wrapped_check_torch_load_is_safe) + warn(f'patched {mod.__name__}.{attr}') + # Patch missing isin_mps_friendly for newer transformers + if mod.__name__ == 'transformers.pytorch_utils' and not hasattr(mod, 'isin_mps_friendly'): + import torch + mod.isin_mps_friendly = torch.isin + warn(f'patched {mod.__name__}.isin_mps_friendly') + # Rewrite use_auth_token → token for newer huggingface_hub + if mod.__name__ == 'huggingface_hub': + for fn_name in dir(mod): + fn = getattr(mod, fn_name, None) + if not isinstance(fn, FunctionType) or fn_name.startswith('_'): + continue + + def _make_wrapper(fn): + + def wrapper(*args, **kwargs): + if 'use_auth_token' in kwargs: + kwargs['token'] = kwargs.pop('use_auth_token') + warn(f'rewrote use_auth_token → token in {fn.__name__}()') + return fn(*args, **kwargs) + return wrapper + + setattr(mod, fn_name, _make_wrapper(fn)) + warn(f'patched all callables in {mod.__name__} (use_auth_token compat)') + +def patch_torchaudio(mod: ModuleType) -> None: + """Replace torchaudio.load with a soundfile-backed shim. + + torchaudio >=2.9 routes load() through torchcodec by default, whose + bundled libtorchcodec_core*.dll fails to link against PyTorch ROCm + Windows builds (WinError 127). soundfile (libsndfile) handles + WAV/FLAC/OGG natively without FFmpeg or torchcodec. + + Idempotent. Lazy: torch/soundfile are imported only when this + function fires, never at sitecustomize startup time (which would + hang during torch's ROCm SDK init on Windows). + """ + if getattr(getattr(mod, 'load', None), '__name__', '') == '_load_via_soundfile': + return + try: + import soundfile as sf + import torch + except ImportError as e: + warn(f'torchaudio.load patch skipped: {e!r}') + return + + def _load_via_soundfile(uri, frame_offset:int=0, num_frames:int=-1, + normalize:bool=True, channels_first:bool=True, + **_ignored): + start = int(frame_offset) if frame_offset else 0 + frames = -1 if (num_frames is None or num_frames<0) else int(num_frames) + dtype = 'float32' if normalize else 'int16' + data, sr = sf.read(uri, start=start, frames=frames, + dtype=dtype, always_2d=True) + tensor = torch.from_numpy(data) + if channels_first: + tensor = tensor.T.contiguous() + return tensor, sr + + mod.load = _load_via_soundfile + warn('patched torchaudio.load → soundfile (bypass torchcodec)') + + +# ───────────────────────────────────────────────────── +# IMPORT HOOK (activates only when modules load) +# ───────────────────────────────────────────────────── +if patch_enabled: + + class WrappedLoader: + """Composition-based loader wrapper. + Delegates to the original loader regardless of its type, + avoiding constructor signature mismatches across loader classes. + Compatible with all loader types (source, extension, frozen, namespace). + """ + + def __init__(self, orig): + self._orig = orig + + def create_module(self, spec): + if hasattr(self._orig, 'create_module'): + return self._orig.create_module(spec) + return None + + def exec_module(self, module): + self._orig.exec_module(module) + name = module.__name__ + if name.startswith(('transformers', 'huggingface_hub')): + patch_module(module) + elif name == 'torchaudio': + patch_torchaudio(module) + + class LazyPatchHook: + def find_spec(self, fullname, path, target=None): + if not (fullname.startswith(('transformers', 'huggingface_hub')) + or fullname == 'torchaudio'): + return None + spec = importlib.machinery.PathFinder.find_spec(fullname, path) + if not spec or not spec.loader: + return spec + spec.loader = WrappedLoader(spec.loader) + return spec + + sys.meta_path.insert(0, LazyPatchHook()) + warn('active (lazy patch mode: transformers, huggingface_hub, torchaudio)') + +else: + warn('loaded but inactive (no patches applied)') diff --git a/detect_gpus.py b/detect_gpus.py new file mode 100644 index 0000000..d8a0d76 --- /dev/null +++ b/detect_gpus.py @@ -0,0 +1,34 @@ +import json +import sys +import os + +SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) +DEVICE_INFO_JSON = os.path.normpath(os.path.join(SCRIPT_DIR, '.device_info.json')) + +def main()->None: + result = {'count': 0, 'backend': None, 'error': None} + try: + if not os.path.exists(DEVICE_INFO_JSON): + result['error'] = f'device_info_json not found: {DEVICE_INFO_JSON}' + print(json.dumps(result)) + sys.exit(1) + with open(DEVICE_INFO_JSON, 'r', encoding='utf-8') as f: + device_info = json.load(f) + backend = device_info.get('name') + result['backend'] = backend + import torch + if backend in ('cuda', 'rocm') and torch.cuda.is_available(): + is_rocm = bool(getattr(torch.version, 'hip', None)) + if backend == 'rocm' and is_rocm: + result['count'] = torch.cuda.device_count() + elif backend == 'cuda' and not is_rocm: + result['count'] = torch.cuda.device_count() + elif backend == 'xpu' and hasattr(torch, 'xpu') and torch.xpu.is_available(): + result['count'] = torch.xpu.device_count() + # mps, jetson, cpu → count stays 0 (single-device or no-device) + except Exception as e: + result['error'] = str(e) + print(json.dumps(result)) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..f03ed6f --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,99 @@ +# docker-compose.yml — universal across cpu / cuda / rocm / xpu (+ jetson), +# on both amd64 and arm64. Pick the accelerator with --profile. +# +# docker compose --profile cpu up +# DEVICE_TAG=cu130 docker compose --profile cuda up +# DEVICE_TAG=jetson51 docker compose --profile jetson up +# DEVICE_TAG=rocm docker compose --profile rocm up +# DEVICE_TAG=xpu docker compose --profile xpu up +# +# Requires Compose V2 (the `docker compose` plugin), NOT the legacy +# `docker-compose` v1 — only V2 honors deploy.resources.devices outside Swarm. +# +# Architecture (amd64 vs arm64) is NOT a profile: it is the host you run on plus +# the matching DEVICE_TAG image. The device wiring below is arch-agnostic. +# +# Confirm a profile expands (and that extends merged) before running it: +# DEVICE_TAG=rocm docker compose --profile rocm config + +services: + # --- shared base: exists only for extends, never runs (dummy _base profile) + ebook2audiobook-base: + image: athomasson2/ebook2audiobook:${DEVICE_TAG:-cpu} + build: + context: . + dockerfile: Dockerfile + args: + APP_VERSION: ${APP_VERSION:-26.7.9} + DEVICE_TAG: ${DEVICE_TAG:-cpu} + working_dir: /app + entrypoint: ["bash", "ebook2audiobook.command", "--script_mode", "full_docker"] + tty: true + stdin_open: true + ports: + - "7860:7860" + volumes: + - ./ebooks:/app/ebooks:rw + - ./audiobooks:/app/audiobooks:rw + - ./models:/app/models:rw + - ./voices:/app/voices:rw + - ./tmp:/app/tmp:rw + restart: unless-stopped + profiles: [_base] + + # --- CPU: no device wiring at all ----------------------------------------- + ebook2audiobook-cpu: + extends: + service: ebook2audiobook-base + profiles: [cpu] + + # --- NVIDIA discrete (amd64 dGPU, or arm64 SBSA) -------------------------- + # Needs the nvidia-container-toolkit installed on the host. + ebook2audiobook-cuda: + extends: + service: ebook2audiobook-base + profiles: [cuda] + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: all + capabilities: [gpu] + + # --- NVIDIA Jetson / Tegra (arm64 L4T) ------------------------------------ + # Uses the nvidia runtime (set "default-runtime": "nvidia" in + # /etc/docker/daemon.json, or rely on this runtime: line). The deploy.devices + # path above does NOT work on Tegra — Jetson goes through the runtime. + ebook2audiobook-jetson: + extends: + service: ebook2audiobook-base + profiles: [jetson] + runtime: nvidia + environment: + NVIDIA_VISIBLE_DEVICES: all + NVIDIA_DRIVER_CAPABILITIES: all + group_add: + - video + + # --- AMD ROCm ------------------------------------------------------------- + ebook2audiobook-rocm: + extends: + service: ebook2audiobook-base + profiles: [rocm] + devices: + - /dev/kfd + - /dev/dri + group_add: + - video + - render + + # --- Intel XPU (oneAPI / IPEX) -------------------------------------------- + ebook2audiobook-xpu: + extends: + service: ebook2audiobook-base + profiles: [xpu] + devices: + - /dev/dri + group_add: + - render \ No newline at end of file diff --git a/dockerfiles/HuggingfaceDockerfile b/dockerfiles/HuggingfaceDockerfile new file mode 100644 index 0000000..7a7e52e --- /dev/null +++ b/dockerfiles/HuggingfaceDockerfile @@ -0,0 +1,127 @@ +ARG PYTHON_VERSION=3.12 + +# ============================================================ +# HF SPACES — SINGLE STAGE BUILD + RUNTIME +# ============================================================ +FROM python:${PYTHON_VERSION}-slim-bookworm + +ARG APP_VERSION=26.7.9 +ARG DEVICE_TAG=cpu +ARG DOCKER_DEVICE_STR='{"name": "cpu", "os": "manylinux_2_28", "arch": "x86_64", "pyvenv": [3, 12], "tag": "cpu", "note": "HF Spaces CPU"}' +ARG DOCKER_PROGRAMS_STR="curl ffmpeg mediainfo nodejs npm espeak-ng sox tesseract-ocr" +ARG CALIBRE_INSTALLER_URL="https://download.calibre-ebook.com/linux-installer.sh" +ARG ISO3_LANG=eng +ARG INSTALL_RUST=1 + +LABEL org.opencontainers.image.title="ebook2audiobook" \ + org.opencontainers.image.description="Generate audiobooks from e-books, voice cloning & 1158 languages!" \ + org.opencontainers.image.version="${APP_VERSION}" \ + org.opencontainers.image.authors="Drew Thomasson / Rob McDowell" \ + org.opencontainers.image.licenses="MIT" \ + org.opencontainers.image.source="https://github.com/DrewThomasson/ebook2audiobook" + +ENV DEBIAN_FRONTEND=noninteractive \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 \ + DOCKER_DEVICE_STR=${DOCKER_DEVICE_STR} \ + PIP_BREAK_SYSTEM_PACKAGES=1 \ + PATH="/root/.cargo/bin:${PATH}" \ + DEVICE_TAG=${DEVICE_TAG} \ + IN_DOCKER=1 + +WORKDIR /app + +# ============================================================ +# System packages (build + runtime) +# ============================================================ +RUN set -eux; \ + apt-get update; \ + apt-get install -y --no-install-recommends --allow-change-held-packages \ + gcc g++ make pkg-config cmake curl wget git bash xz-utils python3-dev \ + fontconfig libfontconfig1 libfreetype6 libgl1 libegl1 libopengl0 \ + libx11-6 libxext6 libxrender1 libxcb1 libxcb-render0 libxcb-shm0 \ + libxcb-xfixes0 libxcb-cursor0 libgomp1 libsndfile1 \ + ${DOCKER_PROGRAMS_STR} tesseract-ocr-${ISO3_LANG}; \ + rm -rf /var/lib/apt/lists/* + +# ============================================================ +# Refresh pip to a known-good version +# ============================================================ +RUN find /usr/local/lib/python3.12/site-packages/pip* -type f -delete 2>/dev/null; \ + find /usr/local/lib/python3.12/site-packages/pip* -type l -delete 2>/dev/null; \ + curl -sS https://bootstrap.pypa.io/get-pip.py -o /tmp/get-pip.py && \ + python3 /tmp/get-pip.py --ignore-installed && \ + rm -f /tmp/get-pip.py && \ + pip install --no-cache-dir setuptools wheel + +# ============================================================ +# Rust toolchain (needed by some Python deps at build time) +# ============================================================ +RUN bash -o pipefail -c '\ + if [ "${INSTALL_RUST}" = "1" ]; then \ + curl https://sh.rustup.rs -sSf | sh -s -- -y --default-toolchain stable; \ + else \ + echo "Skipping Rust toolchain"; \ + fi' + +# ============================================================ +# Calibre (CLI only) +# ============================================================ +RUN set -eux; \ + wget -nv "${CALIBRE_INSTALLER_URL}" -O /tmp/calibre.sh; \ + bash /tmp/calibre.sh; \ + rm -f /tmp/calibre.sh + +# Debian-compatible Calibre library aliases +RUN set -eux; \ + ln -sf /usr/lib/*-linux-gnu/libfreetype.so.6 /usr/lib/libfreetype.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libfontconfig.so.1 /usr/lib/libfontconfig.so.1; \ + ln -sf /usr/lib/*-linux-gnu/libpng16.so.16 /usr/lib/libpng16.so.16; \ + ln -sf /usr/lib/*-linux-gnu/libX11.so.6 /usr/lib/libX11.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libXext.so.6 /usr/lib/libXext.so.6; \ + ln -sf /usr/lib/*-linux-gnu/libXrender.so.1 /usr/lib/libXrender.so.1 + +COPY . /app + +# Ensure Unix line endings on all shell scripts +RUN find /app -type f \( -name "*.sh" -o -name "*.command" \) -exec sed -i 's/\r$//' {} \; + +# ============================================================ +# Build Python dependencies via project script +# ============================================================ +RUN ./ebook2audiobook.command --script_mode build_docker --docker_device "$DOCKER_DEVICE_STR" + +# ============================================================ +# Cleanup build-only packages and Rust toolchain to shrink image +# ============================================================ +RUN set -eux; \ + rustup self uninstall -y 2>/dev/null || true; \ + apt-get update; \ + apt-get purge -y --auto-remove gcc g++ make pkg-config cmake wget git xz-utils python3-dev; \ + rm -rf /var/lib/apt/lists/* /root/.cargo /root/.rustup /tmp/* || true + +# ============================================================ +# Named volumes — declare before chown so Docker creates them as root +# ============================================================ +VOLUME \ + /app/ebooks \ + /app/audiobooks \ + /app/models \ + /app/voices \ + /app/run \ + /app/tmp + +# ============================================================ +# HF SPACES: create unprivileged user 1000 and fix permissions +# ============================================================ +RUN useradd -m -u 1000 appuser && \ + mkdir -p /app/ebooks /app/audiobooks /app/models /app/voices /app/run /app/tmp && \ + chown -R appuser:appuser /app && \ + chmod -R 777 /app/tmp /app/run /app/audiobooks /app/models /app/voices + +USER 1000 + +EXPOSE 7860 + +ENTRYPOINT ["bash", "ebook2audiobook.command", "--script_mode", "full_docker"] diff --git a/dockerfiles/UbuntuCudaDockerfile b/dockerfiles/UbuntuCudaDockerfile new file mode 100644 index 0000000..fb226b6 --- /dev/null +++ b/dockerfiles/UbuntuCudaDockerfile @@ -0,0 +1,43 @@ +# Use an official CUDA base image +FROM nvidia/cuda:11.8.0-base-ubuntu22.04 + +# Set up environment variables +ENV DEBIAN_FRONTEND=noninteractive +ENV PYTHONUNBUFFERED=1 +ENV PATH="/opt/conda/bin:$PATH" + +# Install system packages and Miniconda +RUN apt-get update && apt-get install -y \ + wget git calibre ffmpeg libmecab-dev mecab mecab-ipadic \ + && apt-get clean && rm -rf /var/lib/apt/lists/* && \ + wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \ + bash miniconda.sh -b -p /opt/conda && \ + rm miniconda.sh && \ + /opt/conda/bin/conda clean --all --yes + +# Create and activate the Python 3.12 environment +RUN conda create -y -n py312 python=3.12 && \ + conda clean -a + +# Create and switch to a non-root user +RUN useradd -m -u 1000 user +USER user + +# Activate the Conda environment +SHELL ["conda", "run", "-n", "py312", "/bin/bash", "-c"] + +# Clone the GitHub repository +RUN git clone https://github.com/DrewThomasson/ebook2audiobook.git /home/user/app + +# Set the working directory +WORKDIR /home/user/app + +# Install Python dependencies using requirements.txt +RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \ + pip install --no-cache-dir -r requirements.txt + +# Expose the application port +EXPOSE 7860 + +# Start the Gradio app +CMD ["conda", "run", "-n", "py312", "python", "app.py"] \ No newline at end of file diff --git a/e2a.cmd b/e2a.cmd new file mode 100644 index 0000000..4e57458 --- /dev/null +++ b/e2a.cmd @@ -0,0 +1,4 @@ +@echo off +rem Thin launcher: forwards every argument to ebook2audiobook.cmd. +rem A symlink drops %* when a .cmd is executed through it; this wrapper does not. +"%~dp0ebook2audiobook.cmd" %* diff --git a/e2a.sh b/e2a.sh new file mode 120000 index 0000000..759ade4 --- /dev/null +++ b/e2a.sh @@ -0,0 +1 @@ +ebook2audiobook.command \ No newline at end of file diff --git a/ebook2audiobook.cmd b/ebook2audiobook.cmd new file mode 100755 index 0000000..ca445c2 --- /dev/null +++ b/ebook2audiobook.cmd @@ -0,0 +1,1120 @@ +@echo off +setlocal EnableExtensions DisableDelayedExpansion + +set "SAFE_USERPROFILE=%USERPROFILE%" +set "SAFE_SCRIPT_DIR=%~dp0" +if "%SAFE_SCRIPT_DIR:~-1%"=="\" set "SAFE_SCRIPT_DIR=%SAFE_SCRIPT_DIR:~0,-1%" + +:: Force UTF-8 for CMD +chcp 65001 >nul + +:: Prefer PowerShell 7, fallback to Windows PowerShell 5.1 +set "PS_EXE=pwsh" +where.exe /Q pwsh >nul 2>&1 || set "PS_EXE=powershell" + +:: One canonical set of flags for every PowerShell call in this script +set "PS_ARGS=-NoLogo -NoProfile -NonInteractive -ExecutionPolicy Bypass" + +:: Detect Constrained Language Mode (corporate lockdown) +"%PS_EXE%" %PS_ARGS% -Command "if ($ExecutionContext.SessionState.LanguageMode -ne 'FullLanguage') { exit 99 }" +if errorlevel 99 ( + echo ERROR: PowerShell Constrained Language Mode detected. This environment is not supported. + goto :failed +) + +:: Ensure PS output encoding is UTF-8 for this session (non-persistent) +"%PS_EXE%" %PS_ARGS% -Command "[Console]::OutputEncoding=[System.Text.Encoding]::UTF8" >nul 2>&1 + +:: Enable ANSI VT mode +reg query HKCU\Console /v VirtualTerminalLevel >nul 2>&1 +if errorlevel 1 ( + reg add HKCU\Console /v VirtualTerminalLevel /t REG_DWORD /d 1 /f >nul +) + +:: Real ESC byte via PowerShell (RELIABLE) +for /f "delims=" %%e in (' + cmd /c ""%PS_EXE%" %PS_ARGS% -Command "[char]27"" +') do set "ESC=%%e" + +:: Capture all arguments into ARGS +set "ARGS=%*" +set "NATIVE=native" +set "BUILD_DOCKER=build_docker" +set "FULL_DOCKER=full_docker" +set "SCRIPT_MODE=%NATIVE%" +set "APP_NAME=ebook2audiobook" +set /p APP_VERSION=<"%SAFE_SCRIPT_DIR%\VERSION.txt" +set "APP_FILE=%APP_NAME%.cmd" +set "OS_LANG=" +for /f "skip=1 tokens=3" %%A in ('reg query "HKCU\Control Panel\International" /v LocaleName 2^>nul') do set "OS_LANG=%%A" +if defined OS_LANG set "OS_LANG=%OS_LANG:~0,2%" +if not defined OS_LANG set "OS_LANG=en" +set "TEST_HOST=127.0.0.1" +set "TEST_PORT=7860" +set "ICON_PATH=%SAFE_SCRIPT_DIR%\tools\icons\windows\appIcon.ico" +set "STARTMENU_DIR=%APPDATA%\Microsoft\Windows\Start Menu\Programs\%APP_NAME%" +set "STARTMENU_LNK=%STARTMENU_DIR%\%APP_NAME%.lnk" +set "DESKTOP_LNK=%SAFE_USERPROFILE%\Desktop\%APP_NAME%.lnk" +set "ARCH=%PROCESSOR_ARCHITECTURE%" & if defined PROCESSOR_ARCHITEW6432 set "ARCH=%PROCESSOR_ARCHITEW6432%" +if /i "%ARCH%"=="ARM64" (set "PYTHON_ARCH=arm64") else if /i "%ARCH%"=="AMD64" (set "PYTHON_ARCH=amd64") +set "MIN_PYTHON_VERSION=3.10" +set "MAX_PYTHON_VERSION=3.12" +set "PYTHON_VERSION=3.12" +set "PYTHON_SCOOP=python%PYTHON_VERSION:.=%" +set "PYTHON_ENV=python_env" +set "PYTHONUTF8=1" +set "PYTHONIOENCODING=utf-8" +set "CURRENT_ENV=" +set "HOST_PROGRAMS=cmake rustup calibre ffmpeg-shared mediainfo nodejs espeak-ng sox tesseract" +:: tesseract-ocr-[lang] and calibre are hardcoded in Dockerfile +set "DOCKER_PROGRAMS=curl ffmpeg mediainfo nodejs espeak-ng sox tesseract-ocr" +set "DOCKER_CALIBRE_INSTALLER_URL=https://download.calibre-ebook.com/linux-installer.sh" +set "DOCKER_WSL_CONTAINER=Debian" +set "DOCKER_FIX_SCRIPT=dpf.ps1" +set "DOCKER_MODE=" +set "DOCKER_IMG_NAME=athomasson2/%APP_NAME%" +set "DOCKER_DEVICE_STR=" +set "DEVICE_INFO_STR=" +set "TMP=%SAFE_SCRIPT_DIR%\run" +set "TEMP=%SAFE_SCRIPT_DIR%\run" +if not exist "%TMP%" mkdir "%TMP%" >nul 2>&1 +set "CONDA_URL=https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe" +set "CONDA_INSTALLER=Miniforge3-Windows-x86_64.exe" +set "SCOOP_HOME=%SAFE_USERPROFILE%\scoop" +set "SCOOP_SHIMS=%SCOOP_HOME%\shims" +set "SCOOP_APPS=%SCOOP_HOME%\apps" +set "CONDA_HOME=%SAFE_USERPROFILE%\Miniforge3" +set "CONDA_ENV=%CONDA_HOME%\condabin\conda.bat" +set "CONDA_PATH=%CONDA_HOME%\condabin" +set "ESPEAK_DATA_PATH=%SCOOP_HOME%\apps\espeak-ng\current\eSpeak NG\espeak-ng-data" +set "NODE_PATH=%SCOOP_HOME%\apps\nodejs\current" +set "TESSDATA_PREFIX=%SAFE_SCRIPT_DIR%\models\tessdata" +set "TESSDATA_BASE_URL=https://github.com/tesseract-ocr/tessdata_best/raw/main" +set "FFMPEG_BIN=%USERPROFILE%\scoop\apps\ffmpeg-shared\current\bin" +set "FFMPEG_VARIANT=none" +set "PATH=%SCOOP_SHIMS%;%SCOOP_APPS%;%NODE_PATH%;%FFMPEG_BIN%;%PATH%" +set "INSTALLED_LOG=%SAFE_SCRIPT_DIR%\.installed" +set "UNINSTALLER=%SAFE_SCRIPT_DIR%\uninstall.cmd" +set "BROWSER_HELPER=%SAFE_SCRIPT_DIR%\.bh.ps1" +set "HEADLESS_FOUND=%ARGS:--headless=%" +set "WSL_VERSION=" +set "DOCKER_IN_WSL=0" +set "DOCKER_DESKTOP=0" +set "PODMAN_DESKTOP=0" + +IF NOT DEFINED DEVICE_TAG SET "DEVICE_TAG=" + +set "missing_prog_array=" + +:: Refresh environment variables (append registry Path to current PATH) +for /f "tokens=2,*" %%A in ('reg query "HKLM\SYSTEM\CurrentControlSet\Control\Session Manager\Environment" /v Path') do ( + set "PATH=%%B;%PATH%" +) + +if "%ARCH%"=="X86" ( + echo %ESC%[31m=============== Error: 32-bit architecture is not supported.%ESC%[0m + goto :failed +) + +cd /d "%SAFE_SCRIPT_DIR%" + +:: Clear previous associative values +for /f "tokens=1* delims==" %%A in ('set arguments. 2^>nul') do set "%%A=" + +::::::::::::::::::::::::::::::: CORE FUNCTIONS + +if not "%~1"=="" ( + setlocal EnableDelayedExpansion + for /f "delims=" %%V in ('python -c "from lib.conf import cli_options; print(' '.join(cli_options))"') do set "VALID_ARGS=%%V" + for %%A in (%*) do ( + set "ARG=%%~A" + if "!ARG:~0,2!"=="--" ( + set "FOUND=0" + for %%V in (!VALID_ARGS!) do ( + if /i "!ARG!"=="%%V" set "FOUND=1" + ) + if !FOUND! equ 0 ( + echo ERROR: Unknown option "!ARG!" + exit /b 1 + ) + ) + ) + endlocal +) + +:parse_args +rem No setlocal here: arguments.* are set in the current scope so they reach :main +rem without an endlocal tunnel. Indirect names are set via call set "...%%key%%...". +if "%~1"=="" goto :parse_args_done +set "arg=%~1" +if "%arg:~0,2%"=="--" ( + set "key=%arg:~2%" + if not "%~2"=="" ( + echo %~2 | findstr "^--" >nul + if errorlevel 1 ( + call set "arguments.%%key%%=%~2" + shift + shift + goto parse_args + ) + ) + call set "arguments.%%key%%=true" + shift + goto parse_args +) +shift +goto parse_args + +:parse_args_done +if defined arguments.script_mode ( + set "script_mode_valid=0" + if /i "%arguments.script_mode%"=="%BUILD_DOCKER%" set "script_mode_valid=1" + if /i "%arguments.script_mode%"=="%FULL_DOCKER%" set "script_mode_valid=1" + if /i "%arguments.script_mode%"=="%NATIVE%" set "script_mode_valid=1" +) + +if defined arguments.script_mode if "%script_mode_valid%"=="1" ( + set "SCRIPT_MODE=%arguments.script_mode%" +) +if defined arguments.script_mode if "%script_mode_valid%"=="0" ( + echo Error: Invalid script mode argument: %arguments.script_mode% + goto :failed +) +if defined arguments.docker_device ( + if /i "%arguments.docker_device%"=="true" ( + echo Error: --docker_device has no value + goto :failed + ) + set "DOCKER_DEVICE_STR=%arguments.docker_device%" +) +if defined arguments.docker_mode ( + if not "%arguments.docker_mode%"=="podman" ( + if not "%arguments.docker_mode%"=="compose" ( + if /i "%arguments.docker_mode%"=="true" ( + echo Error: --docker_mode has no value + ) else ( + echo Error: --docker_mode accepts only podman or compose as value + ) + goto :failed + ) + ) + set "DOCKER_MODE=%arguments.docker_mode%" +) +if defined arguments.script_mode ( + if /i "%arguments.script_mode%"=="true" ( + echo Error: --script_mode requires a value + goto :failed + ) + if /i not "%arguments.script_mode%"=="FULL_DOCKER" ( + setlocal enabledelayedexpansion + for /f "tokens=1,2 delims==" %%A in ('set arguments. 2^>nul') do ( + set "argname=%%A" + set "argname=!argname:arguments.=!" + if not "!argname!"=="" ( + if /i not "!argname!"=="script_mode" ( + if /i not "!argname!"=="docker_device" ( + if /i not "!argname!"=="docker_mode" ( + echo Error: when --script_mode is not FULL_DOCKER, only --docker_device or --docker_mode are allowed. Invalid: --!argname! + goto :failed + ) + ) + ) + ) + ) + endlocal + ) +) +rem .installed must not be created in build_docker mode; check after SCRIPT_MODE is resolved +if not exist "%INSTALLED_LOG%" if /i not "%SCRIPT_MODE%"=="%BUILD_DOCKER%" ( + type nul > "%INSTALLED_LOG%" +) +if defined arguments.headless ( + if /i "%arguments.headless%"=="false" ( + setlocal enabledelayedexpansion + for /f "tokens=1,2 delims==" %%A in ('set arguments. 2^>nul') do ( + set "argname=%%A" + set "argname=!argname:arguments.=!" + if not "!argname!"=="" ( + if /i not "!argname!"=="headless" ( + if /i not "!argname!"=="script_mode" ( + if /i not "!argname!"=="share" ( + echo Error: In non-headless mode only --share option is allowed. Invalid: --!argname! + goto :failed + ) + ) + ) + ) + ) + endlocal + ) +) +if defined arguments.share ( + if defined arguments.headless ( + if /i "%arguments.headless%"=="true" ( + echo Error: --share option is only allowed in non-headless mode + goto :failed + ) + ) +) +if defined arguments.version ( + echo v%APP_VERSION% + goto :eof +) +goto :main + +::::::::::::::: DESKTOP APP +:make_shortcut +set "shortcut=%~1" +"%PS_EXE%" %PS_ARGS% -Command "$s=New-Object -ComObject WScript.Shell; $sc=$s.CreateShortcut('%shortcut%'); $sc.TargetPath='cmd.exe'; $sc.Arguments='/k ""cd /d """"%SAFE_SCRIPT_DIR%"""" && """"%APP_FILE%""""""'; $sc.WorkingDirectory='%SAFE_SCRIPT_DIR%'; $sc.IconLocation='%ICON_PATH%'; $sc.Save()" +exit /b + +:build_gui +if /i not "%HEADLESS_FOUND%"=="%ARGS%" ( + if not exist "%STARTMENU_DIR%" mkdir "%STARTMENU_DIR%" + if not exist "%STARTMENU_LNK%" ( + call :make_shortcut "%STARTMENU_LNK%" + call :make_shortcut "%DESKTOP_LNK%" + ) + for /f "skip=1 delims=" %%L in ('tasklist /v /fo csv /fi "imagename eq powershell.exe" 2^>nul') do ( + echo %%L | findstr /i "%APP_NAME%" >nul && ( + for /f "tokens=2 delims=," %%A in ("%%L") do ( + taskkill /PID %%~A /F >nul 2>&1 + ) + ) + ) + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "DisplayName" /d "%APP_NAME%" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "DisplayVersion" /d "%APP_VERSION%" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "Publisher" /d "ebook2audiobook Team" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "InstallLocation" /d "%SAFE_SCRIPT_DIR%" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "UninstallString" /d "\"%UNINSTALLER%\"" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "DisplayIcon" /d "%ICON_PATH%" /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "NoModify" /t REG_DWORD /d 1 /f >nul 2>&1 + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\%APP_NAME%" /v "NoRepair" /t REG_DWORD /d 1 /f >nul 2>&1 + start "%APP_NAME%" /min "%PS_EXE%" %PS_ARGS% -File "%BROWSER_HELPER%" -HostName "%TEST_HOST%" -Port %TEST_PORT% +) +exit /b 0 +:::::: END OF DESKTOP APP + +:get_iso3_lang +set "ISO3_LANG=eng" +if /i "%~1"=="en" set "ISO3_LANG=eng" +if /i "%~1"=="fr" set "ISO3_LANG=fra" +if /i "%~1"=="de" set "ISO3_LANG=deu" +if /i "%~1"=="it" set "ISO3_LANG=ita" +if /i "%~1"=="es" set "ISO3_LANG=spa" +if /i "%~1"=="pt" set "ISO3_LANG=por" +if /i "%~1"=="ar" set "ISO3_LANG=ara" +if /i "%~1"=="tr" set "ISO3_LANG=tur" +if /i "%~1"=="ru" set "ISO3_LANG=rus" +if /i "%~1"=="bn" set "ISO3_LANG=ben" +if /i "%~1"=="zh" set "ISO3_LANG=chi_sim" +if /i "%~1"=="fa" set "ISO3_LANG=fas" +if /i "%~1"=="hi" set "ISO3_LANG=hin" +if /i "%~1"=="hu" set "ISO3_LANG=hun" +if /i "%~1"=="id" set "ISO3_LANG=ind" +if /i "%~1"=="jv" set "ISO3_LANG=jav" +if /i "%~1"=="ja" set "ISO3_LANG=jpn" +if /i "%~1"=="ko" set "ISO3_LANG=kor" +if /i "%~1"=="pl" set "ISO3_LANG=pol" +if /i "%~1"=="ta" set "ISO3_LANG=tam" +if /i "%~1"=="te" set "ISO3_LANG=tel" +if /i "%~1"=="yo" set "ISO3_LANG=yor" +exit /b + +:check_python +where.exe python >nul 2>&1 +if errorlevel 1 ( + echo Python is not installed. + exit /b 1 +) +for /f "tokens=2 delims= " %%v in ('python --version 2^>^&1') do set "INSTALLED_VERSION=%%v" +for /f "tokens=1-3 delims=." %%a in ("%INSTALLED_VERSION%") do ( + set "INS_MAJOR=%%a" + set "INS_MINOR=%%b" + set "INS_PATCH=0" +) +for /f "tokens=1-3 delims=." %%a in ("%MIN_PYTHON_VERSION%") do ( + set "REQ_MAJOR=%%a" + set "REQ_MINOR=%%b" + set "REQ_PATCH=0" +) +set "PYTHON_OK=1" +if %INS_MAJOR% lss %REQ_MAJOR% set "PYTHON_OK=0" +if %INS_MAJOR% equ %REQ_MAJOR% if %INS_MINOR% lss %REQ_MINOR% set "PYTHON_OK=0" +if %INS_MAJOR% equ %REQ_MAJOR% if %INS_MINOR% equ %REQ_MINOR% if %INS_PATCH% lss %REQ_PATCH% set "PYTHON_OK=0" +if "%PYTHON_OK%"=="0" ( + echo Python %INSTALLED_VERSION% found but %MIN_PYTHON_VERSION% or higher is required. + exit /b 1 +) +exit /b 0 + +:check_scoop +where.exe /Q scoop >nul 2>&1 +if errorlevel 1 ( + echo Scoop is not installed. + exit /b 1 +) +exit /b 0 + +:check_scoop_buckets +call "%PS_EXE%" %PS_ARGS% -Command "scoop bucket list" > "%TEMP%\scoop_buckets.txt" 2>&1 +set "_MISSING_BUCKETS=" +findstr /i "muggle" "%TEMP%\scoop_buckets.txt" >nul 2>&1 || set "_MISSING_BUCKETS=!_MISSING_BUCKETS! muggle" +findstr /i "extras" "%TEMP%\scoop_buckets.txt" >nul 2>&1 || set "_MISSING_BUCKETS=!_MISSING_BUCKETS! extras" +findstr /i "versions" "%TEMP%\scoop_buckets.txt" >nul 2>&1 || set "_MISSING_BUCKETS=!_MISSING_BUCKETS! versions" +del "%TEMP%\scoop_buckets.txt" >nul 2>&1 +if defined _MISSING_BUCKETS ( + exit /b 1 +) +exit /b 0 + +:check_programs +setlocal EnableDelayedExpansion +for %%p in (%HOST_PROGRAMS%) do ( + set "prog=%%p" + set "_found=0" + if "%%p"=="nodejs" set "prog=node" + if "%%p"=="calibre" set "prog=ebook-convert" + if "%%p"=="ffmpeg-shared" set "prog=ffmpeg" + if "%%p"=="rustup" ( + if exist "%SAFE_USERPROFILE%\scoop\apps\rustup\current\.cargo\bin\rustup.exe" set "_found=1" + ) + if "!_found!"=="0" ( + where.exe /Q !prog! >nul 2>&1 + if errorlevel 1 ( + set "missing_prog_array=!missing_prog_array! %%p" + ) else ( + if "%%p"=="ffmpeg-shared" ( + call :check_ffmpeg_shared + ) + ) + ) +) +endlocal & set "missing_prog_array=%missing_prog_array%" +if not "%missing_prog_array%"=="" exit /b 1 +exit /b 0 + +:check_ffmpeg_shared +setlocal +set "ffmpeg_pkg=none" +set "tmp_file=%INSTALLED_LOG%.tmp" +if exist "%SCOOP_HOME%\apps\ffmpeg-shared\current\bin\avcodec-*.dll" ( + set "ffmpeg_pkg=shared" +) else if exist "%SCOOP_HOME%\apps\ffmpeg\current\bin\ffmpeg.exe" ( + set "ffmpeg_pkg=static" +) else ( + exit /b 0 +) +if "%ffmpeg_pkg%"=="static" ( + echo Static ffmpeg detected, swapping to ffmpeg-shared… + call scoop uninstall ffmpeg || (echo [xx] uninstall failed & exit /b 1) + call scoop install ffmpeg-shared || (echo [xx] install failed & exit /b 1) + if exist "%INSTALLED_LOG%" ( + findstr /v /x /c:"ffmpeg" "%INSTALLED_LOG%" > "%tmp_file%" 2>nul + ) else ( + type nul > "%tmp_file%" + ) + >>"%tmp_file%" echo ffmpeg-shared + move /y "%tmp_file%" "%INSTALLED_LOG%" >nul + echo swap complete, .installed updated. +) +endlocal +exit /b 0 + +:install_python +echo Installing Python %PYTHON_VERSION%… +set "PYTHON_INSTALLER=python-%PYTHON_VERSION%-%PYTHON_ARCH%.exe" +set "PYTHON_URL=https://www.python.org/ftp/python/%PYTHON_VERSION%.0/python-%PYTHON_VERSION%.0-%PYTHON_ARCH%.exe" +echo Downloading Python installer for %PYTHON_ARCH%… +powershell -NoProfile -Command "Invoke-WebRequest -Uri '%PYTHON_URL%' -OutFile '%TEMP%\%PYTHON_INSTALLER%'" +if errorlevel 1 ( + echo %ESC%[31m=============== Failed to download Python installer.%ESC%[0m + goto :failed +) +echo Installing Python silently… +"%TEMP%\%PYTHON_INSTALLER%" /quiet InstallAllUsers=0 PrependPath=1 Include_test=0 +if errorlevel 1 ( + echo %ESC%[31m=============== Python installation failed.%ESC%[0m + del "%TEMP%\%PYTHON_INSTALLER%" + goto :failed +) +del "%TEMP%\%PYTHON_INSTALLER%" +del "%USERPROFILE%\AppData\Local\Microsoft\WindowsApps\python.exe" +del "%USERPROFILE%\AppData\Local\Microsoft\WindowsApps\python3.exe" +echo %ESC%[33m=============== Python OK ===============%ESC%[0m +goto :restart_script + +:install_scoop +echo Installing Scoop… +call "%PS_EXE%" %PS_ARGS% -Command "irm get.scoop.sh -OutFile '%TEMP%\install_scoop.ps1'" +call "%PS_EXE%" %PS_ARGS% -File "%TEMP%\install_scoop.ps1" -RunAsAdmin +del "%TEMP%\install_scoop.ps1" >nul 2>&1 +if errorlevel 1 ( + net session >nul 2>&1 + if not errorlevel 1 ( + goto :restart_script + ) + goto :failed +) +findstr /i /x "scoop" "%INSTALLED_LOG%" >nul 2>&1 +if errorlevel 1 echo scoop>>"%INSTALLED_LOG%" +call "%PS_EXE%" %PS_ARGS% -Command "scoop bucket add muggle https://github.com/hu3rror/scoop-muggle.git" +call "%PS_EXE%" %PS_ARGS% -Command "scoop bucket add extras" +call "%PS_EXE%" %PS_ARGS% -Command "scoop bucket add versions" +echo %ESC%[33m=============== Scoop OK ===============%ESC%[0m +type nul > "%SAFE_SCRIPT_DIR%\.after-scoop" +goto :restart_script + +:install_scoop_buckets +call "%PS_EXE%" %PS_ARGS% -Command "$WarningPreference='SilentlyContinue'; scoop install git; scoop bucket add muggle https://github.com/hu3rror/scoop-muggle.git; scoop bucket add extras; scoop bucket add versions" +call git config --global credential.helper +del "%SAFE_SCRIPT_DIR%\.after-scoop" >nul 2>&1 +echo %ESC%[32m=============== Scoop components OK ===============%ESC%[0m +exit /b 0 + +:install_wsl +if "%SCRIPT_MODE%"=="%BUILD_DOCKER%" ( + echo WSL2 is required to build Linux containers. + echo. + echo ================================================== + echo WSL and %DOCKER_WSL_CONTAINER% will now be installed. + echo ================================================== + pause + wsl --unregister %DOCKER_WSL_CONTAINER% >nul 2>&1 + wsl --update + wsl --install -d %DOCKER_WSL_CONTAINER% --no-launch + echo. + echo %DOCKER_WSL_CONTAINER% setup complete. Configuring for Docker... + wsl --shutdown + timeout /t 3 /nobreak >nul + wsl --user root -- echo "%DOCKER_WSL_CONTAINER% OK" >nul 2>&1 + if errorlevel 1 ( + echo %ESC%[31m=============== %DOCKER_WSL_CONTAINER% installation failed.%ESC%[0m + goto :failed + ) + for /f %%A in ('powershell -NoProfile -Command "Get-ChildItem 'HKCU:\Software\Microsoft\Windows\CurrentVersion\Lxss' | Where-Object { (Get-ItemProperty $_.PSPath).DistributionName -eq '%DOCKER_WSL_CONTAINER%' } | Select-Object -ExpandProperty PSChildName"') do ( + reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Lxss\%%A" /v DefaultUid /t REG_DWORD /d 0 /f >nul + ) + echo [wsl2] > "%USERPROFILE%\.wslconfig" + echo memory=4GB >> "%USERPROFILE%\.wslconfig" + wsl --shutdown + echo %ESC%[33m=============== WSL2 OK ===============%ESC%[0m +) +goto :restart_script + +:install_docker +if "%SCRIPT_MODE%"=="%BUILD_DOCKER%" ( + echo Installing Docker inside WSL2… + wsl --user root -d %DOCKER_WSL_CONTAINER% -- bash -c "echo 'WSL is ready'" >nul 2>&1 + if errorlevel 1 ( + echo %ESC%[31m=============== WSL %DOCKER_WSL_CONTAINER% is not ready. Initializing…%ESC%[0m + wsl --user root -d %DOCKER_WSL_CONTAINER% -- bash -c "apt-get update" >nul 2>&1 + wsl --shutdown + timeout /t 3 /nobreak >nul + ) + echo Downloading and installing Docker… + wsl --user root -d %DOCKER_WSL_CONTAINER% -- bash -c "apt-get update && apt-get install -y curl" + wsl --user root -d %DOCKER_WSL_CONTAINER% -- bash -c "curl -fsSL https://get.docker.com | SKIP_SLEEP=1 sh" + if errorlevel 1 ( + echo %ESC%[31m=============== docker install failed.%ESC%[0m + echo Try running: wsl --user root -d %DOCKER_WSL_CONTAINER% + echo Then manually run: curl -fsSL https://get.docker.com ^| sh + goto :failed + ) + echo Enabling systemd… + wsl --user root -d %DOCKER_WSL_CONTAINER% -- bash -c "echo '[boot]' > /etc/wsl.conf && echo 'systemd=true' >> /etc/wsl.conf" + wsl --shutdown + echo %ESC%[33m=============== docker OK ===============%ESC%[0m +) +goto :restart_script + +:install_conda +if not "%SCRIPT_MODE%"=="%BUILD_DOCKER%" ( + echo Installing Miniforge… + call "%PS_EXE%" %PS_ARGS% -Command "Invoke-WebRequest -Uri '%CONDA_URL%' -OutFile '%CONDA_INSTALLER%'" + call start /wait "" "%CONDA_INSTALLER%" /InstallationType=JustMe /RegisterPython=0 /S /D="%SAFE_USERPROFILE%\Miniforge3" + set "PATH=%CONDA_PATH%;%CONDA_HOME%\Scripts;%PATH%" + where.exe /Q conda + if not errorlevel 1 ( + echo %ESC%[32m=============== Miniforge3 OK ===============%ESC%[0m + findstr /i /x "Miniforge3" "%INSTALLED_LOG%" >nul 2>&1 + if errorlevel 1 ( + echo Miniforge3>>"%INSTALLED_LOG%" + ) + ) else ( + echo %ESC%[31m=============== Miniforge3 failed.%ESC%[0m + goto :failed + ) + if not exist "%SAFE_USERPROFILE%\.condarc" ( + call conda config --set auto_activate_base false + ) + call conda update --all -y + call conda clean --index-cache -y + call conda clean --packages --tarballs -y + del "%CONDA_INSTALLER%" +) +goto :restart_script + +:download_tessdata +setlocal +set "_LANG=%~1" +set "_DEST=%~2" +"%PS_EXE%" %PS_ARGS% -Command "Invoke-WebRequest -Uri '%TESSDATA_BASE_URL%/%_LANG%.traineddata' -OutFile '%_DEST%\%_LANG%.traineddata' -ErrorAction Stop" +set "RC=%errorlevel%" +endlocal & exit /b %RC% + +:install_programs +echo Installing missing programs… +setlocal EnableDelayedExpansion +for %%p in (%missing_prog_array%) do ( + set "prog=%%p" + call "%PS_EXE%" %PS_ARGS% -Command "scoop install %%p" + if "%%p"=="tesseract" ( + where.exe /Q !prog! + if not errorlevel 1 ( + call :get_iso3_lang "%OS_LANG%" + echo Detected system language: %OS_LANG% → downloading OCR language: !ISO3_LANG! + set "tessdata=%SCOOP_APPS%\tesseract\current\tessdata" + if not exist "!tessdata!" mkdir "!tessdata!" + if not exist "!tessdata!\!ISO3_LANG!.traineddata" ( + call :download_tessdata "!ISO3_LANG!" "!tessdata!" || goto :failed + ) + if exist "!tessdata!\!ISO3_LANG!.traineddata" ( + echo Tesseract OCR language !ISO3_LANG! installed in !tessdata! + ) else ( + echo Failed to install OCR language !ISO3_LANG! + ) + ) + ) + if "%%p"=="python" ( + set "PY_FOUND=" + where.exe /Q python && set PY_FOUND=1 + where.exe /Q python3 && set PY_FOUND=1 + where.exe /Q py && set PY_FOUND=1 + if not defined PY_FOUND ( + echo %ESC%[31m=============== %%p failed.%ESC%[0m + goto :failed + ) + ) + if "%%p"=="nodejs" ( + set "prog=node" + ) + if "%%p"=="ffmpeg-shared" ( + set "prog=ffmpeg" + if exist "%SAFE_USERPROFILE%\scoop\apps\ffmpeg-shared\current\bin\ffmpeg.exe" ( + set "_FFMPEG_PATH=%SAFE_USERPROFILE%\scoop\apps\ffmpeg-shared\current\bin" + echo !PATH! | findstr /i /c:"!_FFMPEG_PATH!" >nul 2>&1 || ( + set "PATH=!_FFMPEG_PATH!;!PATH!" + ) + ) + ) + if "%%p"=="rustup" ( + if exist "%SAFE_USERPROFILE%\scoop\apps\rustup\current\.cargo\bin\rustup.exe" ( + set "_RUSTUP_PATH=%SAFE_USERPROFILE%\scoop\apps\rustup\current\.cargo\bin" + echo !PATH! | findstr /i /c:"!_RUSTUP_PATH!" >nul 2>&1 || ( + set "PATH=!_RUSTUP_PATH!;!PATH!" + ) + ) + ) + where.exe /Q !prog! + if not errorlevel 1 ( + echo %ESC%[32m=============== %%p OK! ===============%ESC%[0m + findstr /i /x "%%p" "%INSTALLED_LOG%" >nul 2>&1 + if errorlevel 1 ( + echo %%p>>"%INSTALLED_LOG%" + ) + ) else ( + echo %ESC%[31m=============== %%p failed.%ESC%[0m + goto :failed + ) +) +endlocal & set "PATH=%PATH%" +call "%PS_EXE%" %PS_ARGS% -Command "$cp=[System.Environment]::GetEnvironmentVariable('Path','User'); $np=$cp; @('%SCOOP_SHIMS%','%SCOOP_APPS%','%CONDA_PATH%','%NODE_PATH%') | Where-Object {$_ -and $cp -notlike ('*'+$_+'*')} | ForEach-Object {$np+=(';'+$_)}; [System.Environment]::SetEnvironmentVariable('Path',$np,'User')" +set "missing_prog_array=" +goto :main + +:check_conda +where.exe /Q conda +if errorlevel 1 ( + echo Conda is not installed. + exit /b 1 +) +set "DETECTED_BASE=" +for /f "usebackq delims=" %%B in (`conda info --base 2^>nul`) do set "DETECTED_BASE=%%B" +if not defined DETECTED_BASE ( + echo Failed to query 'conda info --base'; aborting. + exit /b 3 +) +set "CONDA_HOME=%DETECTED_BASE%" +set "CONDA_PATH=%DETECTED_BASE%\condabin" +set "CONDA_ENV=%DETECTED_BASE%\condabin\conda.bat" +set "PATH=%CONDA_PATH%;%PATH%" +set "CURRENT_ENV=" +if defined CONDA_DEFAULT_ENV ( + if /i not "%CONDA_DEFAULT_ENV%"=="base" ( + set "CURRENT_ENV=%CONDA_PREFIX%" + ) +) +if defined VIRTUAL_ENV ( + set "CURRENT_ENV=%VIRTUAL_ENV%" +) +if defined CURRENT_ENV ( + echo Current python virtual environment detected: %CURRENT_ENV%. + echo =============== This script runs with its own virtual env and must be out of any other virtual environment when it's launched. + exit /b 2 +) +if /i "%CONDA_DEFAULT_ENV%"=="base" ( + call conda deactivate >nul 2>&1 +) +if not exist "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%\.provisioned" ( + if exist "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%" ( + echo Detected incomplete %PYTHON_ENV% — removing and recreating... + rmdir /s /q "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%" + ) + echo Creating ./%PYTHON_ENV% with python %PYTHON_VERSION%... + call "%CONDA_HOME%\Scripts\activate.bat" + call conda create --prefix "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%" -c conda-forge python=%PYTHON_VERSION% pip -y + if errorlevel 1 exit /b 3 + call conda activate "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%" + call :provision_env + if errorlevel 1 exit /b 3 + > "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%\.provisioned" echo %APP_VERSION% +) +exit /b 0 + +:provision_env +setlocal enabledelayedexpansion +set "RC=0" +call :check_device_info %SCRIPT_MODE% +if errorlevel 1 ( + set "RC=1" + goto :provision_env_end +) +call :install_device_packages +if errorlevel 1 ( + set "RC=1" + goto :provision_env_end +) +call :install_python_packages +if errorlevel 1 ( + set "RC=1" + goto :provision_env_end +) +:provision_env_end +endlocal & exit /b %RC% + +:check_wsl +where.exe /Q wsl +if errorlevel 1 ( + echo WSL is not installed. + exit /b 1 +) +for /f "tokens=3" %%A in ( + 'reg query "HKCU\Software\Microsoft\Windows\CurrentVersion\Lxss" /v DefaultVersion 2^>nul ^| find "DefaultVersion"' +) do set "WSL_VERSION=%%A" +if not "%WSL_VERSION%"=="0x2" ( + echo WSL2 is not configured as default. + exit /b 1 +) +wsl -l -q 2>nul | findstr /R /C:".*" >nul +if errorlevel 1 ( + echo No WSL Linux distribution installed. + exit /b 1 +) +for /f "delims=" %%a in ('wsl echo $WSL_DISTRO_NAME') do set "DOCKER_WSL_CONTAINER=%%a" +exit /b 0 + +:check_docker +if "%DOCKER_MODE%"=="podman" ( + where.exe /Q podman-compose.exe + if not errorlevel 1 ( + podman-compose version >nul 2>&1 + if not errorlevel 1 ( + echo Podman Desktop detected. + set "PODMAN_DESKTOP=1" + exit /b 0 + ) + ) + echo Podman is not installed. + exit /b 1 +) +where.exe /Q docker.exe +if not errorlevel 1 ( + docker version >nul 2>&1 + if not errorlevel 1 ( + echo Docker Desktop detected. + set "DOCKER_DESKTOP=1" + exit /b 0 + ) +) +wsl --user root -d %DOCKER_WSL_CONTAINER% -- which docker >nul 2>&1 +if errorlevel 1 ( + echo Docker is not installed inside WSL2. + exit /b 1 +) +exit /b 0 + +:check_docker_daemon +if "%PODMAN_DESKTOP%"=="1" exit /b 0 +if "%DOCKER_DESKTOP%"=="1" ( + docker info >nul 2>&1 + if not errorlevel 1 exit /b 0 + echo Docker Desktop daemon is not running. Please start Docker Desktop. + exit /b 1 +) +wsl --user root -d %DOCKER_WSL_CONTAINER% -- docker info >nul 2>&1 +if not errorlevel 1 exit /b 0 +echo Starting Docker daemon inside WSL2… +wsl --user root -d %DOCKER_WSL_CONTAINER% -- service docker start >nul 2>&1 +if errorlevel 1 ( + echo Docker failed to start + exit /b 1 +) +set "DOCKER_RETRIES=0" +:wait_docker +timeout /t 3 /nobreak >nul +set /a DOCKER_RETRIES+=1 +if %DOCKER_RETRIES% geq 20 ( + echo Docker daemon failed to start after 60 seconds. + exit /b 1 +) +wsl --user root -d %DOCKER_WSL_CONTAINER% -- docker info >nul 2>&1 +if errorlevel 1 goto :wait_docker +echo Docker daemon is ready. +exit /b 0 + +:check_device_info +set "ARG=%~1" +set "DEVICE_INFO_STR=" +for /f "delims=" %%I in ('python -c "import sys; from lib.classes.device_installer import DeviceInstaller as D; print(D().check_device_info(sys.argv[1]))" "%ARG%"') do set "DEVICE_INFO_STR=%%I" +if not defined DEVICE_INFO_STR ( + echo DEVICE_INFO_STR is empty + exit /b 1 +) +exit /b 0 + +:json_get +setlocal enabledelayedexpansion +set "KEY=%~1" +set "JSON_VALUE=" +for /f "delims=" %%i in ('powershell -Command "$env:DEVICE_INFO_STR | ConvertFrom-Json | Select-Object -ExpandProperty %KEY%"') do set "JSON_VALUE=%%i" +if "!JSON_VALUE!"=="" ( + echo No key nor value found for %KEY% + endlocal & exit /b 1 +) +endlocal & set "DEVICE_TAG=%JSON_VALUE%" +exit /b 0 + +:install_device_packages +"%PS_EXE%" %PS_ARGS% -Command ^ +"python -c \"import sys, os; from lib.classes.device_installer import DeviceInstaller; device = DeviceInstaller(); sys.exit(device.install_device_packages(os.environ.get('DEVICE_INFO_STR', '')))\"" +exit /b %errorlevel% + +:install_python_packages +echo Installing python dependencies… +"%PS_EXE%" %PS_ARGS% -Command ^ +"python -c \"import sys; from lib.classes.device_installer import DeviceInstaller; device = DeviceInstaller(); sys.exit(device.install_python_packages())\"" +exit /b %errorlevel% + +:check_sitecustomized +set "src_pyfile=%SAFE_SCRIPT_DIR%\components\sitecustomize.py" +for /f "delims=" %%a in ('python -c "import sysconfig;print(sysconfig.get_paths()[\"purelib\"])"') do ( + set "site_packages_path=%%a" +) +if "%site_packages_path%"=="" ( + echo [WARN] Could not detect Python site-packages + exit /b 1 +) +set "dst_pyfile=%site_packages_path%\sitecustomize.py" +if not exist "%dst_pyfile%" ( + copy /y "%src_pyfile%" "%dst_pyfile%" >nul + if errorlevel 1 ( + echo %ESC%[31m=============== sitecustomize.py hook error: copy failed.%ESC%[0m + exit /b 1 + ) + exit /b 0 +) +:: xcopy /d only overwrites when source is newer than destination +:: destination ends with '\' so xcopy treats it as a directory, no F/D prompt, no wildcard target +xcopy /d /y "%src_pyfile%" "%site_packages_path%\" >nul +if errorlevel 1 ( + echo %ESC%[31m=============== sitecustomize.py hook update failed.%ESC%[0m + exit /b 1 +) +exit /b 0 + +:build_docker_image +setlocal enabledelayedexpansion +set "ARG=%~1" +if defined ARG ( + set "ARG_ESCAPED=%ARG:"=\"%" +) else ( + set "ARG_ESCAPED=" +) +if "%DOCKER_MODE%"=="podman" ( + if "%PODMAN_DESKTOP%"=="0" ( + echo podman-compose is not running. + endlocal + exit /b 1 + ) +) else if "%DOCKER_MODE%"=="compose" ( + if "%DOCKER_DESKTOP%"=="0" ( + echo docker compose is not running. + endlocal + exit /b 1 + ) +) +set "DOCKER_IMG_NAME=%DOCKER_IMG_NAME%:%DEVICE_TAG%" +set "cmd_options=" +set "py_vers=%PYTHON_VERSION%" +rem py_vers must follow the prebuilt-wheel ABI, so derive it from the profile pyvenv [major, minor] +set "ARG_NQ=%ARG:"=%" +for /f "tokens=2 delims=[]" %%a in ("!ARG_NQ!") do for /f "tokens=1,2 delims=, " %%b in ("%%a") do set "py_vers=%%b.%%c" +if /i "%DEVICE_TAG:~0,2%"=="cu" ( + set "cmd_options=--gpus all" +) else if /i "%DEVICE_TAG:~0,6%"=="jetson" ( + set "cmd_options=--runtime nvidia --gpus all" +) else if /i "%DEVICE_TAG:~0,8%"=="rocm" ( + set "cmd_options=--device=/dev/kfd --device=/dev/dri" +) else if /i "%DEVICE_TAG%"=="xpu" ( + set "cmd_options=--device=/dev/dri" +) else if /i "%DEVICE_TAG%"=="mps" ( + set "cmd_options=" +) else if /i "%DEVICE_TAG%"=="cpu" ( + set "cmd_options=" +) +if /i "%DEVICE_TAG%"=="cpu" ( + set "COMPOSE_PROFILES=cpu" +) else if /i "%DEVICE_TAG%"=="mps" ( + set "COMPOSE_PROFILES=cpu" +) else if /i "%DEVICE_TAG:~0,2%"=="cu" ( + set "COMPOSE_PROFILES=cuda" +) else if /i "%DEVICE_TAG:~0,6%"=="jetson" ( + set "COMPOSE_PROFILES=jetson" +) else if /i "%DEVICE_TAG:~0,4%"=="rocm" ( + set "COMPOSE_PROFILES=rocm" +) else if /i "%DEVICE_TAG%"=="xpu" ( + set "COMPOSE_PROFILES=xpu" +) else ( + set "COMPOSE_PROFILES=cpu" +) +set "SERVICE=ebook2audiobook-%COMPOSE_PROFILES%" +if "%DOCKER_DESKTOP%"=="1" ( + set "wsl_cmd=" + set "WSL_DIR=%SAFE_SCRIPT_DIR%" +) else ( + set "wsl_cmd=wsl --user root -d %DOCKER_WSL_CONTAINER% --" + for /f "delims=" %%i in ('wsl --user root -d %DOCKER_WSL_CONTAINER% -- wslpath "%SAFE_SCRIPT_DIR:\=/%"') do set "WSL_DIR=%%i" +) +call :get_iso3_lang "%OS_LANG%" +set "ISO3_LANG=!ISO3_LANG!" +if "%DOCKER_MODE%"=="podman" ( + echo Using podman-compose + set "PODMAN_BUILD_ARGS=--format docker --no-cache --network=host" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg PYTHON_VERSION=%py_vers%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg APP_VERSION=%APP_VERSION%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg DEVICE_TAG=%DEVICE_TAG%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg DOCKER_DEVICE_STR=%ARG_ESCAPED%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg DOCKER_PROGRAMS_STR=%DOCKER_PROGRAMS%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg CALIBRE_INSTALLER_URL=%DOCKER_CALIBRE_INSTALLER_URL%" + set "PODMAN_BUILD_ARGS=%PODMAN_BUILD_ARGS% --build-arg ISO3_LANG=%ISO3_LANG%" + cd /d "%SAFE_SCRIPT_DIR%" + podman-compose -f podman-compose.yml --profile %COMPOSE_PROFILES% build + if errorlevel 1 ( + echo Build failed + endlocal + exit /b 1 + ) + echo Docker image ready. To run your docker: + echo Podman Compose: + echo GUI mode: + echo podman-compose -f podman-compose.yml --profile %COMPOSE_PROFILES% up + echo Headless mode: + echo podman-compose -f podman-compose.yml --profile %COMPOSE_PROFILES% run --rm -v "/mnt/c/Users/myname/whatever/custom_voice:/app/custom_voice" %SERVICE% --headless --ebook "/app/ebooks/tests/test_eng.txt" --tts_engine yourtts --language eng --voice "/app/Desktop/myvoice.wav" etc. +) else if "%DOCKER_MODE%"=="compose" ( + if "%DOCKER_DESKTOP%"=="1" ( + echo Using docker compose + docker compose --progress=plain --profile "%COMPOSE_PROFILES%" build --no-cache --build-arg PYTHON_VERSION="%py_vers%" --build-arg APP_VERSION="%APP_VERSION%" --build-arg DEVICE_TAG="%DEVICE_TAG%" --build-arg DOCKER_DEVICE_STR="%ARG_ESCAPED%" --build-arg DOCKER_PROGRAMS_STR="%DOCKER_PROGRAMS%" --build-arg CALIBRE_INSTALLER_URL="%DOCKER_CALIBRE_INSTALLER_URL%" --build-arg ISO3_LANG="%ISO3_LANG%" + ) else ( + echo Using docker compose into WSL2 %DOCKER_WSL_CONTAINER% + %wsl_cmd% bash -c "cd '%WSL_DIR%' && docker compose --progress=plain --profile '%COMPOSE_PROFILES%' build --no-cache --build-arg PYTHON_VERSION='%py_vers%' --build-arg APP_VERSION='%APP_VERSION%' --build-arg DEVICE_TAG='%DEVICE_TAG%' --build-arg DOCKER_DEVICE_STR=\"%ARG_ESCAPED%\" --build-arg DOCKER_PROGRAMS_STR='%DOCKER_PROGRAMS%' --build-arg CALIBRE_INSTALLER_URL='%DOCKER_CALIBRE_INSTALLER_URL%' --build-arg ISO3_LANG='%ISO3_LANG%'" + ) + if errorlevel 1 ( + echo Build failed + endlocal + exit /b 1 + ) + if defined wsl_cmd ( + set "env_prefix=DEVICE_TAG=%DEVICE_TAG%" + ) else ( + set "env_prefix=set "DEVICE_TAG=%DEVICE_TAG%" ^&^&" + ) + echo Docker image ready. To run your docker: + echo Docker Compose: + echo GUI mode: + echo !env_prefix! docker compose --profile %COMPOSE_PROFILES% up --no-log-prefix + echo Headless mode: + echo !env_prefix! docker compose --profile %COMPOSE_PROFILES% run --rm -v "/mnt/c/Users/myname/whatever/custom_voice:/app/custom_voice" %SERVICE% --headless --ebook "/app/ebooks/tests/test_eng.txt" --tts_engine yourtts --language eng --voice "/app/Desktop/myvoice.wav" etc. +) else ( + if "%DOCKER_DESKTOP%"=="1" ( + :: echo Using docker buildx + :: docker buildx use default + :: docker buildx build --shm-size=4g --progress=plain --no-cache --platform linux/amd64 --build-arg PYTHON_VERSION="%py_vers%" --build-arg APP_VERSION="%APP_VERSION%" --build-arg DEVICE_TAG="%DEVICE_TAG%" --build-arg DOCKER_DEVICE_STR="%ARG_ESCAPED%" --build-arg DOCKER_PROGRAMS_STR="%DOCKER_PROGRAMS%" --build-arg CALIBRE_INSTALLER_URL="%DOCKER_CALIBRE_INSTALLER_URL%" --build-arg ISO3_LANG="%ISO3_LANG%" -t "%DOCKER_IMG_NAME%" . + echo Using docker build + docker build --shm-size=4g --progress=plain --no-cache --build-arg PYTHON_VERSION="%py_vers%" --build-arg APP_VERSION="%APP_VERSION%" --build-arg DEVICE_TAG="%DEVICE_TAG%" --build-arg DOCKER_DEVICE_STR="%ARG_ESCAPED%" --build-arg DOCKER_PROGRAMS_STR="%DOCKER_PROGRAMS%" --build-arg CALIBRE_INSTALLER_URL="%DOCKER_CALIBRE_INSTALLER_URL%" --build-arg ISO3_LANG="%ISO3_LANG%" -t "%DOCKER_IMG_NAME%" . + docker image prune --force + ) else ( + echo Using docker build into WSL2 %DOCKER_WSL_CONTAINER% + %wsl_cmd% bash -c "service docker status >/dev/null 2>&1 || service docker start" + timeout /t 3 /nobreak >nul + :: buildx builder setup no longer needed with docker build + :: %wsl_cmd% bash -c "cd '%WSL_DIR%' && docker buildx use wslbuilder 2>/dev/null || docker buildx create --name wslbuilder --use" + :: if errorlevel 1 ( + :: echo Failed to setup buildx builder + :: endlocal + :: exit /b 1 + :: ) + %wsl_cmd% bash -c "cd '%WSL_DIR%' && docker build --shm-size=4g --progress=plain --no-cache --build-arg PYTHON_VERSION='%py_vers%' --build-arg APP_VERSION='%APP_VERSION%' --build-arg DEVICE_TAG='%DEVICE_TAG%' --build-arg DOCKER_DEVICE_STR='%ARG_ESCAPED%' --build-arg DOCKER_PROGRAMS_STR='%DOCKER_PROGRAMS%' --build-arg CALIBRE_INSTALLER_URL='%DOCKER_CALIBRE_INSTALLER_URL%' --build-arg ISO3_LANG='%ISO3_LANG%' -t '%DOCKER_IMG_NAME%' ." + if errorlevel 1 ( + echo Build failed + endlocal + exit /b 1 + ) + %wsl_cmd% docker image prune --force + echo Docker image ready. To run your docker: + echo GUI mode: + echo %wsl_cmd% docker run -v ".\ebooks:/app/ebooks" -v ".\audiobooks:/app/audiobooks" -v ".\models:/app/models" -v ".\voices:/app/voices" -v ".\tmp:/app/tmp" !cmd_options!--rm -it -p 7860:7860 %DOCKER_IMG_NAME% + echo Headless mode: + echo %wsl_cmd% docker run -v ".\ebooks:/app/ebooks" -v ".\audiobooks:/app/audiobooks" -v ".\models:/app/models" -v ".\voices:/app/voices" -v ".\tmp:/app/tmp" -v "D:\path\to\custom\voices:/app/custom_voice" !cmd_options!--rm -it -p 7860:7860 %DOCKER_IMG_NAME% --headless --ebook "/app/ebooks/myfile.pdf" [--voice /app/custom_voice/voice.wav etc..] + ) +) +if "%DOCKER_DESKTOP%"=="1" ( + set "wsl_cmd=wsl --user root -d %DOCKER_WSL_CONTAINER% --" +) +endlocal +exit /b 0 + +:::::::::::: END CORE FUNCTIONS + +:main +if defined arguments.help ( + if /i "%arguments.help%"=="true" ( + call :check_python + if errorlevel 1 goto :install_python + call :check_docker + if "%DOCKER_DESKTOP%"=="0" ( + ifi "%PODMAN_DESKTOP"=="0" ( + wsl --user root -d %DOCKER_WSL_CONTAINER% -- which docker >nul 2>&1 + if not errorlevel 1 ( + set DOCKER_IN_WSL=1 + ) + ) + ) + call python -u "%SAFE_SCRIPT_DIR%\app.py" %ARGS% + goto :eof + ) +) else ( + if "%SCRIPT_MODE%"=="%BUILD_DOCKER%" ( + if "%DOCKER_DEVICE_STR%"=="" ( + setlocal enabledelayedexpansion + call :check_python + if errorlevel 1 goto :install_python + call :check_wsl + if errorlevel 1 goto :install_wsl + call :check_docker + if errorlevel 1 ( + if not "%DOCKER_MODE%"=="podman" ( + goto :install_docker + ) else ( + goto :failed + ) + ) + call :check_docker_daemon + if errorlevel 1 goto :failed + call :check_device_info %SCRIPT_MODE% + if errorlevel 1 goto :failed + call :install_device_packages + if "!DEVICE_TAG!"=="" ( + call :json_get tag + if errorlevel 1 goto :failed + ) + if "%PODMAN_DESKTOP%"=="1" ( + podman image exists "%DOCKER_IMG_NAME%:!DEVICE_TAG!" >nul 2>&1 + ) else if "%DOCKER_DESKTOP%"=="1" ( + docker image inspect "%DOCKER_IMG_NAME%:!DEVICE_TAG!" >nul 2>&1 + ) else ( + wsl --user root -d %DOCKER_WSL_CONTAINER% -- docker image inspect "%DOCKER_IMG_NAME%:!DEVICE_TAG!" >nul 2>&1 + ) + if not errorlevel 1 ( + echo [STOP] Docker image "%DOCKER_IMG_NAME%:!DEVICE_TAG!" already exists. + if "%DOCKER_DESKTOP%"=="1" ( + echo To rebuild, first remove it with: docker rmi %DOCKER_IMG_NAME%:!DEVICE_TAG! --force + ) else ( + echo To rebuild, first remove it with: wsl -d %DOCKER_WSL_CONTAINER% -- docker rmi %DOCKER_IMG_NAME%:!DEVICE_TAG! --force + ) + goto :failed + ) + call :build_docker_image "!DEVICE_INFO_STR!" + if errorlevel 1 goto :failed + endlocal + ) else ( + echo The Docker image is only available with a Linux container + ) + ) else if "%SCRIPT_MODE%"=="%NATIVE%" ( + call :check_scoop + if errorlevel 1 goto :install_scoop + call :check_scoop_buckets + if errorlevel 1 goto :install_scoop_buckets + call :check_programs + if errorlevel 1 goto :install_programs + call :check_conda + if errorlevel 3 goto :failed + if errorlevel 2 goto :eof + if errorlevel 1 goto :install_conda + call conda activate "%SAFE_SCRIPT_DIR%\%PYTHON_ENV%" + if errorlevel 1 goto :failed + call :check_sitecustomized + if errorlevel 1 goto :failed + call :build_gui + call python.exe -u "%SAFE_SCRIPT_DIR%\app.py" --script_mode %SCRIPT_MODE% %ARGS% + call conda deactivate >nul && call conda deactivate >nul + ) else if "%SCRIPT_MODE%"=="%FULL_DOCKER%" ( + call :check_sitecustomized + if errorlevel 1 goto :failed + call python.exe -u "%SAFE_SCRIPT_DIR%\app.py" --script_mode %SCRIPT_MODE% %ARGS% + ) +) +goto :eof + +:failed +echo =============== ebook2audiobook is not correctly installed. +where.exe /Q conda && ( + call conda deactivate >nul && call conda deactivate >nul +) +exit /b 1 + +:quit +set "CODE=%~1" +endlocal +exit /b %CODE% + +:restart_script +net session >nul 2>&1 +if not errorlevel 1 ( + echo Restarting as normal user %USERNAME%… + schtasks /create /tn "RestartScript" /tr "cmd /k cd /d \"%SAFE_SCRIPT_DIR%\" & call %APP_FILE% %ARGS%" /sc once /st 00:00 /ru "%USERNAME%" /it /f >nul 2>&1 + schtasks /run /tn "RestartScript" >nul 2>&1 + timeout /t 2 /nobreak >nul + schtasks /delete /tn "RestartScript" /f >nul 2>&1 + exit 0 +) +start "%APP_NAME%" cmd /k "cd /d "%SAFE_SCRIPT_DIR%" & call %APP_FILE% %ARGS%" +exit 0 + +:restart_script_admin +echo Restarting script as Administrator… +call "%PS_EXE%" -NoLogo -NoProfile -NonInteractive -ExecutionPolicy Bypass -Command "Start-Process -FilePath '%SAFE_SCRIPT_DIR%\%APP_FILE%' -ArgumentList '%ARGS%' -Verb RunAs" +exit + +endlocal +pause \ No newline at end of file diff --git a/ebook2audiobook.command b/ebook2audiobook.command new file mode 100755 index 0000000..616d972 --- /dev/null +++ b/ebook2audiobook.command @@ -0,0 +1,1064 @@ +#!/usr/bin/env bash + +set -euo pipefail + +: "${HOME:=$PWD}" + +CURRENT_PYVENV="" +SWITCHED_TO_ZSH="${SWITCHED_TO_ZSH:-0}" + +if [[ "${OSTYPE:-}" == darwin* && "$SWITCHED_TO_ZSH" -eq 0 && "$(ps -p $$ -o comm= 2>/dev/null || true)" != "zsh" ]]; then + export SWITCHED_TO_ZSH=1 + exec env zsh "$0" "$@" +fi + +if [[ -n "${BASH_SOURCE:-}" ]]; then + script_path="${BASH_SOURCE[0]}" +elif [[ -n "${ZSH_VERSION:-}" ]]; then + script_path="${(%):-%x}" +else + script_path="$0" +fi + +export BASHRCSOURCED="1" +export SCRIPT_DIR="$(cd "$(dirname "$script_path")" >/dev/null 2>&1 && pwd -P)" +export PYTHONUTF8="1" +export PYTHONIOENCODING="utf-8" +export TTS_CACHE="$SCRIPT_DIR/models" +export TESSDATA_PREFIX="$SCRIPT_DIR/models/tessdata" +export TMPDIR="$SCRIPT_DIR/run" +export APP_VERSION=$(<"$SCRIPT_DIR/VERSION.txt") +export DEVICE_TAG="${DEVICE_TAG:-}" +export CONDA_HOME="$HOME/Miniforge3" +export CONDA_BIN_PATH="$CONDA_HOME/bin" +export CONDA_ENV="$CONDA_HOME/etc/profile.d/conda.sh" +export PATH="$CONDA_BIN_PATH:${PATH-}" +export PODMAN_DESKTOP="0" +export DOCKER_DESKTOP="0" +export DOCKER_DEVICE_STR="" +export DEVICE_INFO_STR="" +export HOMEBREW_NO_ENV_HINTS="1" +export SUDO="sudo" + +NATIVE="native" +BUILD_DOCKER="build_docker" +FULL_DOCKER="full_docker" +ARCH=$(uname -m) +MIN_PYTHON_VERSION="3.10" +MAX_PYTHON_VERSION="3.12" +PYTHON_VERSION="$MAX_PYTHON_VERSION" +PYTHON_ENV="python_env" +SCRIPT_MODE="$NATIVE" +APP_NAME="ebook2audiobook" +OS_LANG=$(echo "${LANG:-en}" | cut -d_ -f1 | tr '[:upper:]' '[:lower:]') +HOST_PROGRAMS=("cmake" "curl" "pkg-config" "xcb-util-cursor" "calibre" "ffmpeg" "mediainfo" "nodejs" "espeak-ng" "cargo" "rust" "sox" "tesseract") +DOCKER_PROGRAMS=("curl" "ffmpeg" "mediainfo" "nodejs" "espeak-ng" "sox" "tesseract-ocr") # tesseract-ocr-[lang] and calibre are hardcoded in Dockerfile +DOCKER_MODE="" +DOCKER_IMG_NAME="athomasson2/$APP_NAME" +CALIBRE_INSTALLER_URL="https://download.calibre-ebook.com/linux-installer.sh" +BREW_INSTALLER_URL="https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh" +MINIFORGE_MACOSX_INSTALLER_URL="https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-$(uname -m).sh" +MINIFORGE_LINUX_INSTALLER_URL="https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh" +RUST_INSTALLER_URL="https://sh.rustup.rs" +INSTALLED_LOG="$SCRIPT_DIR/.installed" +UNINSTALLER="$SCRIPT_DIR/uninstall.sh" +WGET="$(command -v wget 2>/dev/null || true)" + +typeset -A arguments=() # associative array +typeset -a programs_missing=() # indexed array + +PACK_MGR="" +PACK_MGR_OPTIONS="" +BUILD_NAME="" +ISO3_LANG="eng" + +# Validate command arguments against conf.py +if [ $# -gt 0 ]; then + VALID_ARGS=$(python3 -c 'from lib.conf import cli_options; print(" ".join(cli_options))') + for arg in "$@"; do + if [ "${arg:0:2}" = "--" ]; then + if ! echo " $VALID_ARGS " | grep -q " $arg "; then + echo "ERROR: Unknown option \"$arg\"" + exit 1 + fi + fi + done +fi + +ARGS=("$@") + +# Parse arguments +while (( $# > 0 )); do + case "$1" in + --*) + key="${1#--}" + if (( $# > 1 )) && [[ "$2" != --* ]]; then + arguments[$key]=$2 + shift 2 + continue + else + arguments[$key]=true + shift + continue + fi + ;; + *) + echo "Unknown option: $1" + exit 1 + ;; + esac +done + +if [[ -n "${arguments[script_mode]+exists}" ]]; then + if [[ "${arguments[script_mode]}" == "$BUILD_DOCKER" || "${arguments[script_mode]}" == "$FULL_DOCKER" || "${arguments[script_mode]}" == "$NATIVE" ]]; then + SCRIPT_MODE="${arguments[script_mode]}" + else + echo "Error: Invalid script mode argument: ${arguments[script_mode]}" + exit 1 + fi +fi + +if [[ "$SCRIPT_MODE" == "$BUILD_DOCKER" ]]; then + if [[ -n "${ZSH_VERSION:-}" ]]; then + for key in ${(k)arguments}; do + if [[ "$key" != "script_mode" && "$key" != "docker_device" && "$key" != "docker_mode" ]]; then + echo "Error: when --script_mode is $BUILD_DOCKER, only --docker_device or --docker_mode are allowed. Invalid: --$key" + exit 1 + fi + done + else + for key in "${!arguments[@]}"; do + if [[ "$key" != "script_mode" && "$key" != "docker_device" && "$key" != "docker_mode" ]]; then + echo "Error: when --script_mode is $BUILD_DOCKER, only --docker_device or --docker_mode are allowed. Invalid: --$key" + exit 1 + fi + done + fi + if [[ -n "${arguments[docker_mode]+exists}" ]]; then + DOCKER_MODE="${arguments[docker_mode]}" + if [[ "$DOCKER_MODE" != "podman" && "$DOCKER_MODE" != "compose" ]]; then + if [[ "$DOCKER_MODE" == "" ]]; then + echo "Error: --docker_mode has no value!" + else + echo "Error: --docker_mode accepts only podman or compose as value" + fi + exit 1 + fi + fi + if [[ -n "${arguments[docker_device]+exists}" ]]; then + DOCKER_DEVICE_STR="${arguments[docker_device]}" + if [[ "$DOCKER_DEVICE_STR" == "" ]]; then + echo "Error: --docker_device has no value!" + exit 1 + fi + fi +fi + +[[ "${OSTYPE-}" != darwin* && "$SCRIPT_MODE" != "$BUILD_DOCKER" ]] && SUDO="sudo" || SUDO="" +[[ "${OSTYPE-}" == darwin* ]] && SHELL_NAME="zsh" || SHELL_NAME="bash" + +cd "$SCRIPT_DIR" + +if [[ "$SCRIPT_MODE" == "$FULL_DOCKER" ]]; then + USER="${USER:-root}" + HOME="${HOME:-/root}" + SUDO="" +fi + +if [[ ! -f "$INSTALLED_LOG" && "$SCRIPT_MODE" != "$BUILD_DOCKER" ]]; then + touch "$INSTALLED_LOG" +fi + +######## check if the user is part of the read/write group +if [[ -n "${arguments[headless]+exists}" && ! -n "${arguments[script_mode]+exists}" ]]; then + PUBLIC_DIRS=("$SCRIPT_DIR/tmp" "$SCRIPT_DIR/models" "$SCRIPT_DIR/audiobooks") + if [[ "$OSTYPE" == "darwin"* ]]; then + APP_GROUP=$(stat -f '%Sg' "$SCRIPT_DIR") + else + APP_GROUP=$(stat -c '%G' "$SCRIPT_DIR") + fi + user_in_group() { + if [[ -n "${USER:-}" ]]; then + id -nG "$USER" 2>/dev/null | tr ' ' '\n' | grep -qx "$1" + else + return 1 + fi + } + if [[ -n "${USER:-}" ]] && ! user_in_group "$APP_GROUP"; then + echo "Adding $USER to group $APP_GROUP (requires sudo)..." + if [[ "$OSTYPE" == "darwin"* ]]; then + sudo dseditgroup -o edit -a "$USER" -t user "$APP_GROUP" + echo "Group added. Please restart your terminal and re-run:" + echo " $0 $*" + exit 0 + else + sudo usermod -aG "$APP_GROUP" "$USER" + exec sg "$APP_GROUP" -c "\"$0\" $*" + fi + fi +fi + +if [[ -n "${arguments[version]+exists}" ]]; then + echo "v${APP_VERSION}" + exit 0 +fi + +############### FUNCTIONS ############## + +###### DESKTOP APP +function has_no_display { + if [[ "${OSTYPE:-}" == darwin* ]]; then + if pgrep -x WindowServer >/dev/null 2>&1 && + [[ "$(launchctl managername 2>/dev/null)" == "Aqua" ]]; then + return 0 # macOS GUI + else + return 1 # SSH or console mode + fi + else + if [[ -n "${SSH_CONNECTION-}" || -n "${SSH_CLIENT-}" || -n "${SSH_TTY-}" ]]; then + return 1 + fi + if [[ -z "${DISPLAY-}" && -z "${WAYLAND_DISPLAY-}" ]]; then + return 1 # No display server → headless + fi + if pgrep -x vncserver >/dev/null 2>&1 || \ + pgrep -x Xvnc >/dev/null 2>&1 || \ + pgrep -x x11vnc >/dev/null 2>&1 || \ + pgrep -x Xtightvnc >/dev/null 2>&1 || \ + pgrep -x Xtigervnc >/dev/null 2>&1 || \ + pgrep -x Xrealvnc >/dev/null 2>&1; then + return 0 + fi + + if pgrep -x gnome-shell >/dev/null 2>&1 || \ + pgrep -x plasmashell >/dev/null 2>&1 || \ + pgrep -x xfce4-session >/dev/null 2>&1 || \ + pgrep -x cinnamon >/dev/null 2>&1 || \ + pgrep -x mate-session >/dev/null 2>&1 || \ + pgrep -x lxsession >/dev/null 2>&1 || \ + pgrep -x openbox >/dev/null 2>&1 || \ + pgrep -x i3 >/dev/null 2>&1 || \ + pgrep -x sway >/dev/null 2>&1 || \ + pgrep -x hyprland >/dev/null 2>&1 || \ + pgrep -x wayfire >/dev/null 2>&1 || \ + pgrep -x river >/dev/null 2>&1 || \ + pgrep -x fluxbox >/dev/null 2>&1; then + return 0 # Desktop environment detected + fi + return 1 + fi +} + +function open_desktop_app { + ( + host=127.0.0.1 + port=7860 + url="http://$host:$port/" + timeout=120 + start_time=$(date +%s) + + while ! nc -z "$host" "$port" >/dev/null 2>&1; do + sleep 1 + elapsed=$(( $(date +%s) - start_time )) + if [[ "$elapsed" -ge "$timeout" ]]; then + exit 0 + fi + done + + if [[ "${OSTYPE-}" == darwin* ]]; then + open "$url" >/dev/null 2>&1 & + elif command -v xdg-open >/dev/null 2>&1; then + xdg-open "$url" >/dev/null 2>&1 & + elif command -v gio >/dev/null 2>&1; then + gio open "$url" >/dev/null 2>&1 & + elif command -v x-www-browser >/dev/null 2>&1; then + x-www-browser "$url" >/dev/null 2>&1 & + else + echo "No method found to open the default web browser." >&2 + fi + exit 0 + ) & +} + +function mac_app { + local APP_BUNDLE="$HOME/Applications/$APP_NAME.app" + local CONTENTS="$APP_BUNDLE/Contents" + local MACOS="$CONTENTS/MacOS" + local RESOURCES="$CONTENTS/Resources" + local DESKTOP_DIR="$(osascript -e 'POSIX path of (path to desktop folder)' 2>/dev/null | sed 's:/$::')" + local DESKTOP_SHORTCUT="$DESKTOP_DIR/$APP_NAME" + local ICON_PATH="$SCRIPT_DIR/tools/icons/mac/appIcon.icns" + local OPEN_DESKTOP_APP_DEF=$(typeset -f open_desktop_app) + local ESCAPED_APP_ROOT=$(printf '%q' "$SCRIPT_DIR") # Escape SCRIPT_DIR safely for AppleScript + if [[ -d "$APP_BUNDLE" ]]; then + open_desktop_app + return 0 + fi + [[ -d "$HOME/Applications" ]] || mkdir "$HOME/Applications" + if [[ ! -d "$MACOS" || ! -d "$RESOURCES" ]]; then + mkdir -p "$MACOS" "$RESOURCES" + fi + cat > "$MACOS/$APP_NAME" << EOF +#!/bin/zsh + +$OPEN_DESKTOP_APP_DEF + +open_desktop_app + +# TODO: replace osascript when log will be available in gradio with +# +# cd "$SCRIPT_DIR" +# ./ebook2audiobook.sh + +osascript -e ' +tell application "Terminal" +do script "cd \"${ESCAPED_APP_ROOT}\" && ./ebook2audiobook.sh" +activate +end tell +' +EOF + chmod +x "$MACOS/$APP_NAME" + cp "$ICON_PATH" "$RESOURCES/AppIcon.icns" + cat > "$CONTENTS/Info.plist" << 'PLIST' + + + + +CFBundleDevelopmentRegion +en +CFBundleExecutable +ebook2audiobook +CFBundleIdentifier +com.local.ebook2audiobook +CFBundleInfoDictionaryVersion +6.0 +CFBundleName +ebook2audiobook +CFBundlePackageType +APPL +CFBundleShortVersionString +1.0 +CFBundleVersion +1 +LSMinimumSystemVersion +10.9 +NSPrincipalClass +NSApplication +CFBundleIconFile +AppIcon + + +PLIST + ln -sf "$APP_BUNDLE" "$DESKTOP_SHORTCUT" + echo -e "Next launch in GUI mode you just need to double click on the desktop shortcut or go to the launchpad and click on ebook2audiobook icon." + open_desktop_app +} + +function linux_app { + local MENU_ENTRY="$HOME/.local/share/applications/$APP_NAME.desktop" + local DESKTOP_DIR="$(xdg-user-dir DESKTOP 2>/dev/null || echo "$HOME/Desktop")" + local DESKTOP_SHORTCUT="$DESKTOP_DIR/$APP_NAME.desktop" + local ICON_PATH="$SCRIPT_DIR/tools/icons/linux/appIcon" + if [[ -f "$MENU_ENTRY" ]]; then + open_desktop_app + return 0 + fi + mkdir -p "$HOME/.local/share/applications" + cat > "$MENU_ENTRY" <&1 > /dev/null + cp "$MENU_ENTRY" "$DESKTOP_SHORTCUT" + chmod +x "$DESKTOP_SHORTCUT" + if command -v update-desktop-database >/dev/null 2>&1; then + update-desktop-database ~/.local/share/applications >/dev/null 2>&1 + fi + echo -e "Next launch in GUI mode you just need to double click on the desktop shortcut or go to menu entry and click on ebook2audiobook icon." + open_desktop_app +} + +function check_desktop_app { + if [[ " ${ARGS[*]} " == *" --headless "* ]] || ! has_no_display; then + return 0 + fi + if [[ "${OSTYPE-}" == darwin* ]]; then + mac_app + elif [[ "${OSTYPE-}" == linux* ]]; then + linux_app + fi + return 0 +} +################# + +function get_iso3_lang { + case "$1" in + en) echo "eng" ;; + fr) echo "fra" ;; + de) echo "deu" ;; + it) echo "ita" ;; + es) echo "spa" ;; + pt) echo "por" ;; + ar) echo "ara" ;; + tr) echo "tur" ;; + ru) echo "rus" ;; + bn) echo "ben" ;; + zh) echo "chi_sim" ;; + fa) echo "fas" ;; + hi) echo "hin" ;; + hu) echo "hun" ;; + id) echo "ind" ;; + jv) echo "jav" ;; + ja) echo "jpn" ;; + ko) echo "kor" ;; + pl) echo "pol" ;; + ta) echo "tam" ;; + te) echo "tel" ;; + yo) echo "yor" ;; + *) echo "eng" ;; + esac +} + +function check_python { + if ! command -v python3 &>/dev/null; then + echo 'Python is not installed.' + return 1 + fi + local installed_version + installed_version=$(python3 --version 2>&1 | awk '{print $2}') + local IFS='.' + read -r ins_major ins_minor ins_patch <<< "$installed_version" + read -r req_major req_minor req_patch <<< "$MIN_PYTHON_VERSION" + ins_patch="${ins_patch%%[!0-9]*}" + ins_patch="${ins_patch:-0}" + req_patch="${req_patch%%[!0-9]*}" + req_patch="${req_patch:-0}" + if [ "$ins_major" -lt "$req_major" ] || + [ "$ins_major" -eq "$req_major" -a "$ins_minor" -lt "$req_minor" ] || + [ "$ins_major" -eq "$req_major" -a "$ins_minor" -eq "$req_minor" -a "$ins_patch" -lt "$req_patch" ]; then + echo "Python $installed_version found but $MIN_PYTHON_VERSION or higher is required." + return 1 + fi + return 0 +} + +function check_required_programs { + local programs=("$@") + programs_missing=() + for program in "${programs[@]}"; do + local pkg="$program" + local bin="$program" + # Normalize special binaries + [[ "$program" == "nodejs" ]] && bin="node" + [[ "$program" == "rust" ]] && bin="rustc" + # Special case: tesseract OCR + if [[ "$program" == "tesseract" || "$program" == "tesseract-ocr" ]]; then + bin="tesseract" + if command -v zypper >/dev/null 2>&1 || command -v apt-get >/dev/null 2>&1 || command -v apk >/dev/null 2>&1; then + pkg="tesseract-ocr" + else + pkg="$program" + fi + elif [[ "$program" == "xcb-util-cursor" ]]; then + bin="" + if [[ "${OSTYPE-}" != darwin* ]]; then + if command -v apt-get >/dev/null 2>&1 || command -v zypper >/dev/null 2>&1; then + pkg="libxcb-cursor0" + elif command -v apk >/dev/null 2>&1; then + pkg="xcb-util-cursor" + else + pkg="$program" + fi + check_xcb=$(ldconfig -p 2>/dev/null | grep libxcb-cursor) + if [[ "$check_xcb" == "" ]]; then + programs_missing+=("$pkg") + fi + fi + fi + if [[ "$bin" != "" ]]; then + if ! command -v "$bin" &>/dev/null; then + echo -e "\e[33m$pkg is not installed.\e[0m" + programs_missing+=("$pkg") + fi + fi + done + (( ${#programs_missing[@]} == 0 )) +} + +function install_programs { + if [[ "${OSTYPE-}" == darwin* ]]; then + echo -e "\e[33mInstalling required programs…\e[0m" + PACK_MGR="brew install --force" + if ! command -v brew &> /dev/null; then + echo -e "\e[33mHomebrew is not installed. Installing Homebrew…\e[0m" + /usr/bin/env bash -c "$(curl -fsSL $BREW_INSTALLER_URL)" + echo >> $HOME/.zprofile + echo 'eval "$(/usr/local/bin/brew shellenv)"' >> $HOME/.zprofile + eval "$(/usr/local/bin/brew shellenv)" + if ! grep -iqFx "homebrew" "$INSTALLED_LOG"; then + echo "homebrew" >> "$INSTALLED_LOG" + fi + fi + if ! brew list --versions llvm@15 >/dev/null 2>&1; then + echo "Installing llvm@15 (required for numba/llvmlite on macOS)" + brew install llvm@15 + export LLVM_DIR="$(brew --prefix llvm@15)/lib/cmake/llvm" + export PATH="$(brew --prefix llvm@15)/bin:$PATH" + fi + else + if [[ "$SUDO" == "sudo" ]]; then + echo -e "\e[33mInstalling required programs. NOTE: you must have 'sudo' priviliges to install ebook2audiobook.\e[0m" + fi + local PACK_MGR_OPTIONS="" + if command -v emerge &> /dev/null; then + PACK_MGR="emerge" + elif command -v dnf &> /dev/null; then + PACK_MGR="dnf install" + PACK_MGR_OPTIONS="-y" + elif command -v yum &> /dev/null; then + PACK_MGR="yum install" + PACK_MGR_OPTIONS="-y" + elif command -v zypper &> /dev/null; then + PACK_MGR="zypper install" + PACK_MGR_OPTIONS="-y" + elif command -v pacman &> /dev/null; then + PACK_MGR="pacman -Sy --noconfirm" + elif command -v apt-get &> /dev/null; then + $SUDO apt-get update + PACK_MGR="apt-get install" + PACK_MGR_OPTIONS="-y" + elif [[ -f /etc/unraid-version ]] || command -v installplg &>/dev/null; then + if ! command -v un-get &>/dev/null; then + echo " → Installing un-get plugin…" + installplg ./ext/app/un-get.plg + # Add the two best repos for Unraid 7 (current as of Dec 2025) + mkdir -p /boot/config/plugins/un-get + cat > /boot/config/plugins/un-get/sources.list </dev/null; then + PACK_MGR="apk add" + else + echo "Cannot recognize your applications package manager. Please install the required applications manually." + return 1 + fi + fi + if [[ -z "$WGET" ]]; then + echo -e "\e[33m wget is missing! trying to install it… \e[0m" + result=$(eval "$PACK_MGR wget $PACK_MGR_OPTIONS" 2>&1) + result_code=$? + if [[ $result_code -eq 0 ]]; then + WGET="$(command -v wget 2>/dev/null || true)" + else + echo "Cannot 'wget'. Please install 'wget' manually." + return 1 + fi + fi + for program in "${programs_missing[@]}"; do + if [[ "$program" == "calibre" ]]; then + if command -v $program >/dev/null 2>&1; then + echo -e "\e[32m=============== Calibre OK! ===============\e[0m" + else + # avoid conflict with calibre builtin lxml + python3 -m pip uninstall -y lxml 2>/dev/null || true + echo -e "\e[33mInstalling Calibre…\e[0m" + if [[ "${OSTYPE-}" == darwin* ]]; then + eval "$PACK_MGR --cask calibre" + else + tmp="$(mktemp)" + $WGET -nv -O "$tmp" "$CALIBRE_INSTALLER_URL" || return 1 + if [[ "$SUDO" == "sudo" ]]; then + $SUDO sh "$tmp" + else + sh "$tmp" + fi + rm -f "$tmp" + fi + eval "$SUDO $PACK_MGR $program $PACK_MGR_OPTIONS" + if command -v $program >/dev/null 2>&1; then + echo -e "\e[32m=============== $program OK! ===============\e[0m" + else + echo -e "\e[31m=============== $program failed.\e[0m" + fi + fi + elif [[ "$program" == "rust" || "$program" == "rustc" ]]; then + RUSTUP_TMP="$(mktemp)" + curl -fL "$RUST_INSTALLER_URL" -o "$RUSTUP_TMP" || return 1 + sh "$RUSTUP_TMP" -y + rm -f "$RUSTUP_TMP" + if [[ -f "$HOME/.cargo/env" ]]; then + source "$HOME/.cargo/env" + fi + if command -v $program &>/dev/null; then + echo -e "\e[32m=============== $program OK! ===============\e[0m" + else + echo -e "\e[31m=============== $program failed.\e[0m" + fi + elif [[ "$program" == "tesseract" || "$program" == "tesseract-ocr" ]]; then + eval "$SUDO $PACK_MGR $program $PACK_MGR_OPTIONS" + if command -v $program >/dev/null 2>&1; then + echo -e "\e[32m=============== $program OK! ===============\e[0m" + ISO3_LANG="$(get_iso3_lang "${OS_LANG:-en}")" + echo "Detected system language: $OS_LANG → installing Tesseract OCR language: $ISO3_LANG" + langpack="" + if command -v brew &> /dev/null; then + langpack="tesseract-lang-$ISO3_LANG" + elif command -v apt-get &>/dev/null; then + langpack="tesseract-ocr-$ISO3_LANG" + elif command -v dnf &>/dev/null || command -v yum &>/dev/null; then + langpack="tesseract-langpack-$ISO3_LANG" + elif command -v zypper &>/dev/null; then + langpack="tesseract-ocr-$ISO3_LANG" + elif command -v pacman &>/dev/null; then + langpack="tesseract-data-$ISO3_LANG" + elif command -v apk &>/dev/null; then + langpack="tesseract-ocr-$ISO3_LANG" + else + echo "Cannot recognize your applications package manager. Please install the required applications manually." + return 1 + fi + if [[ -n "$langpack" ]]; then + eval "$SUDO $PACK_MGR $langpack $PACK_MGR_OPTIONS" + if tesseract --list-langs | grep -q "$ISO3_LANG"; then + echo "Tesseract OCR language '$ISO3_LANG' successfully installed." + else + echo "Tesseract OCR language '$ISO3_LANG' not installed properly." + fi + fi + else + echo -e "\e[31m=============== $program failed.\e[0m" + fi + elif [[ "$program" == "nodejs" ]]; then + eval "$SUDO $PACK_MGR $program $PACK_MGR_OPTIONS" + if command -v node >/dev/null 2>&1; then + echo -e "\e[32m=============== $program OK! ===============\e[0m" + else + echo -e "\e[31m=============== $program failed.\e[0m" + fi + else + eval "$SUDO $PACK_MGR $program $PACK_MGR_OPTIONS" + if command -v $program >/dev/null 2>&1; then + echo -e "\e[32m=============== $program OK! ===============\e[0m" + else + echo -e "\e[31m=============== $program failed.\e[0m" + fi + fi + done + if check_required_programs "${HOST_PROGRAMS[@]}"; then + return 0 + else + echo "Some programs didn't install successfuly, please report the log to the support" + fi +} + +function check_conda { + + function compare_versions { + local ver1=$1 + local ver2=$2 + IFS='.' read -r v1_major v1_minor <<<"$ver1" + IFS='.' read -r v2_major v2_minor <<<"$ver2" + ((v1_major < v2_major)) && return 1 + ((v1_major > v2_major)) && return 2 + ((v1_minor < v2_minor)) && return 1 + ((v1_minor > v2_minor)) && return 2 + return 0 + } + + local conda_owned=0 + if ! command -v conda &>/dev/null; then + local installer_url + local installer_path="/tmp/Miniforge3.sh" + local config_path + echo -e "\e[33mDownloading Miniforge3 installer…\e[0m" + if [[ "${OSTYPE-}" == darwin* ]]; then + config_path="$HOME/.zshrc" + curl -fsSLo "$installer_path" "$MINIFORGE_MACOSX_INSTALLER_URL" + else + config_path="$HOME/.bashrc" + wget -O "$installer_path" "$MINIFORGE_LINUX_INSTALLER_URL" + fi + if [[ ! -f "$installer_path" ]]; then + echo -e "\e[31m=============== Miniforge3 installer not found!\e[0m" + return 1 + fi + echo -e "\e[33mInstalling Miniforge3…\e[0m" + bash "$installer_path" -b -u -p "$CONDA_HOME" + rm -f "$installer_path" + if [[ ! -f "$CONDA_HOME/bin/conda" ]]; then + echo -e "\e[31m=============== Miniforge3 failed.\e[0m" + return 1 + fi + if [[ ! -f "$HOME/.condarc" ]]; then + "$CONDA_HOME/bin/conda" config --set auto_activate_base false + fi + [[ -f "$config_path" ]] || touch "$config_path" + if ! grep -qxF 'export PATH="$HOME/Miniforge3/bin:$PATH"' "$config_path"; then + echo 'export PATH="$HOME/Miniforge3/bin:$PATH"' >> "$config_path" + fi + case ":$PATH:" in + *":$HOME/Miniforge3/bin:"*) ;; + *) export PATH="$HOME/Miniforge3/bin:$PATH" ;; + esac + echo -e "\e[32m=============== Miniforge3 OK! ===============\e[0m" + if ! grep -iqFx "Miniforge3" "$INSTALLED_LOG"; then + echo "Miniforge3" >> "$INSTALLED_LOG" + fi + conda_owned=1 + fi + local detected_base + detected_base="$(conda info --base 2>/dev/null || true)" + if [[ -z "$detected_base" ]]; then + echo -e "\e[31m=============== Failed to query 'conda info --base'.\e[0m" + return 1 + fi + export CONDA_HOME="$detected_base" + export CONDA_BIN_PATH="$CONDA_HOME/bin" + export CONDA_ENV="$CONDA_HOME/etc/profile.d/conda.sh" + case ":$PATH:" in + *":$CONDA_BIN_PATH:"*) ;; + *) export PATH="$CONDA_BIN_PATH:$PATH" ;; + esac + if [[ ! -f "$CONDA_ENV" ]]; then + echo -e "\e[31m=============== conda.sh not found at $CONDA_ENV.\e[0m" + return 1 + fi + if [[ ! -f "$SCRIPT_DIR/$PYTHON_ENV/.provisioned" ]]; then + if [[ -d "$SCRIPT_DIR/$PYTHON_ENV" ]]; then + echo -e "\e[33mDetected incomplete $PYTHON_ENV — removing and recreating…\e[0m" + rm -rf "$SCRIPT_DIR/$PYTHON_ENV" + fi + + local model="other" + if [[ "${OSTYPE-}" == darwin* && "$ARCH" == "x86_64" ]]; then + PYTHON_VERSION="3.11" + else + if [[ -r /proc/device-tree/model ]]; then + model="$(tr -d '\0' /dev/null | tr 'A-Z' 'a-z' || true)" + if [[ "$model" == *jetson* ]]; then + PYTHON_VERSION="$MIN_PYTHON_VERSION" + fi + else + compare_versions "$PYTHON_VERSION" "$MIN_PYTHON_VERSION" + case $? in 1) PYTHON_VERSION="$MIN_PYTHON_VERSION" ;; esac + compare_versions "$PYTHON_VERSION" "$MAX_PYTHON_VERSION" + case $? in 2) PYTHON_VERSION="$MAX_PYTHON_VERSION" ;; esac + fi + fi + echo -e "\e[33mCreating ./$PYTHON_ENV with python $PYTHON_VERSION…\e[0m" + chmod -R 775 "$SCRIPT_DIR/audiobooks" "$SCRIPT_DIR/tmp" "$SCRIPT_DIR/models" 2>/dev/null || true + chmod g+s "$SCRIPT_DIR/audiobooks" "$SCRIPT_DIR/tmp" "$SCRIPT_DIR/models" 2>/dev/null || true + source "$CONDA_ENV" || return 1 + if (( conda_owned == 1 )); then + conda update -n base -c conda-forge conda -y + conda update --all -y + conda clean --index-cache -y + conda clean --packages --tarballs -y + fi + conda create --prefix "$SCRIPT_DIR/$PYTHON_ENV" -c conda-forge python=$PYTHON_VERSION pip -y || return 1 + conda activate "$SCRIPT_DIR/$PYTHON_ENV" || return 1 + if [[ "${OSTYPE-}" != darwin* && "$model" == *jetson* ]]; then + # gfortran needed to compile scipy from pip on Jetson + conda install -c conda-forge gfortran -y || return 1 + fi + DEVICE_INFO_STR="$(check_device_info "$SCRIPT_MODE")" + if [[ -z "$DEVICE_INFO_STR" ]]; then + echo "check_device_info() error: result is empty" + return 1 + fi + install_device_packages "$DEVICE_INFO_STR" || return 1 + install_python_packages || return 1 + echo "$APP_VERSION" > "$SCRIPT_DIR/$PYTHON_ENV/.provisioned" + conda deactivate &>/dev/null || true + conda deactivate &>/dev/null || true + fi + return 0 +} + +function check_docker { + if [[ "$DOCKER_MODE" == "podman" ]]; then + if command -v podman-compose &> /dev/null; then + PODMAN_DESKTOP="1" + return 0 + fi + echo -e "\e[31m=============== Podman is not installed.\e[0m" + return 1 + fi + if command -v docker &> /dev/null; then + DOCKER_DESKTOP="1" + return 0 + fi + echo -e "\e[31m=============== Docker is not installed.\e[0m" + return 1 +} + +function install_python_packages { + echo "Installing python dependencies…" + PYTHONPATH="$SCRIPT_DIR" python3 -c "import sys; from lib.classes.device_installer import DeviceInstaller; device = DeviceInstaller(); sys.exit(device.install_python_packages())" + return $? +} + +function check_device_info { + local ARG="$1" + python3 - << EOF +from lib.classes.device_installer import DeviceInstaller +device = DeviceInstaller() +result = device.check_device_info("$ARG") +if result: + print(result) + raise SystemExit(0) +raise SystemExit(1) +EOF +} + +function json_get { + local key="$1" + echo "$DEVICE_INFO_STR" | python3 -c " +import sys, json +data = json.load(sys.stdin) +print(data['$key']) +" +} + +function install_device_packages { + local ARG="$1" + python3 - "$ARG" << 'EOF' +import sys,json +from lib.classes.device_installer import DeviceInstaller +device = DeviceInstaller() +data = sys.argv[1] +exit_code = device.install_device_packages(data) +sys.exit(exit_code) +EOF +} + +function check_sitecustomized { + local src_pyfile="$SCRIPT_DIR/components/sitecustomize.py" + local site_packages_path=$(python3 -c "import sysconfig;print(sysconfig.get_paths()['purelib'])") + local dst_pyfile="$site_packages_path/sitecustomize.py" + if [ ! -f "$dst_pyfile" ] || [ "$src_pyfile" -nt "$dst_pyfile" ]; then + if cp -p "$src_pyfile" "$dst_pyfile"; then + echo "Installed sitecustomize.py hook in $dst_pyfile" + else + echo -e "\e[31m=============== sitecustomize.py hook error: copy failed.\e[0m" >&2 + exit 1 + fi + fi + return 0 +} + +function build_docker_image { + local ARG="$1" + if [[ "$ARG" == "" ]]; then + echo "build_docker_image() error: ARG is empty" + return 1 + fi + local cmd_options="" + local py_vers + # Base-image Python MUST match the wheel ABI in the device profile: derive it from + # pyvenv in $ARG (the single source of truth), not from $DEVICE_TAG. + py_vers="$(printf '%s' "$ARG" | python3 -c 'import json,sys; v=json.load(sys.stdin).get("pyvenv"); print(f"{v[0]}.{v[1]}" if v else "")' 2>/dev/null)" + [[ -z "$py_vers" ]] && py_vers="$PYTHON_VERSION" + # Compose reads build args ONLY from the compose file build.args, resolved from the + # environment -- it ignores PODMAN_BUILD_ARGS and loose --build-arg flags. Export every + # value the Dockerfile ARGs consume so the device profile + matching Python reach the + # image instead of the Dockerfile defaults (a generic cu130 / python3.12). + export PYTHON_VERSION="$py_vers" + export DOCKER_DEVICE_STR="$ARG" + export DOCKER_PROGRAMS_STR="${DOCKER_PROGRAMS[*]}" + export CALIBRE_INSTALLER_URL ISO3_LANG + case "$DEVICE_TAG" in + cpu) cmd_options="";; + cu*) cmd_options="--gpus all" ;; + rocm*) cmd_options="--device=/dev/kfd --device=/dev/dri" ;; + jetson*) cmd_options="--runtime nvidia --gpus all" ;; + xpu) cmd_options="--device=/dev/dri" ;; + esac + ISO3_LANG="$(get_iso3_lang "${OS_LANG:-en}")" + DOCKER_IMG_NAME="${DOCKER_IMG_NAME}:${DEVICE_TAG}" + case "$DEVICE_TAG" in + cpu|mps) COMPOSE_PROFILES=cpu ;; + cu*) COMPOSE_PROFILES=cuda ;; + rocm*) COMPOSE_PROFILES=rocm ;; + jetson*) COMPOSE_PROFILES=jetson ;; + xpu) COMPOSE_PROFILES=xpu ;; + *) COMPOSE_PROFILES=cpu ;; + esac + export COMPOSE_PROFILES + SERVICE="ebook2audiobook-${COMPOSE_PROFILES}" + if [[ "$DOCKER_MODE" == "podman" ]]; then + if ! command -v podman-compose &>/dev/null || ! podman-compose -f podman-compose.yml config &>/dev/null; then + echo "ERROR: podman-compose is not installed or podman-compose.yml is not valid" + return 1 + fi + elif [[ "$DOCKER_MODE" == "compose" ]]; then + if ! docker compose config --services 2>/dev/null | grep -q .; then + echo "ERROR: docker compose found no services or yml file is not valid." + return 1 + fi + fi + if [[ "$DOCKER_MODE" == "podman" ]]; then + echo "--> Using podman-compose" + export PODMAN_BUILD_ARGS=$(printf ' %q' \ + --format docker \ + --no-cache \ + --network=host \ + --build-arg PYTHON_VERSION="$py_vers" \ + --build-arg APP_VERSION="$APP_VERSION" \ + --build-arg DEVICE_TAG="$DEVICE_TAG" \ + --build-arg DOCKER_DEVICE_STR="$ARG" \ + --build-arg DOCKER_PROGRAMS_STR="${DOCKER_PROGRAMS[*]}" \ + --build-arg CALIBRE_INSTALLER_URL="$CALIBRE_INSTALLER_URL" \ + --build-arg ISO3_LANG="$ISO3_LANG" \ + ) + BUILD_NAME="$DOCKER_IMG_NAME" podman-compose -f podman-compose.yml --profile $COMPOSE_PROFILES build || return 1 + echo "Docker image ready! to run your docker: " + echo "Podman Compose:" + echo " GUI mode:" + echo " DEVICE_TAG=$DEVICE_TAG podman-compose -f podman-compose.yml --profile $COMPOSE_PROFILES up" + echo " Headless mode:" + echo " DEVICE_TAG=$DEVICE_TAG podman-compose -f podman-compose.yml --profile $COMPOSE_PROFILES run --rm -v \"/mnt/c/Users/myname/whatever/custom_voice:/app/custom_voice\" $SERVICE --headless --ebook \"/app/ebooks/tests/test_eng.txt\" --tts_engine yourtts --language eng --voice \"/app/Desktop/myvoice.wav\" [etc.]" + elif [[ "$DOCKER_MODE" == "compose" ]]; then + echo "--> Using docker compose" + BUILD_NAME="$DOCKER_IMG_NAME" docker compose \ + -f docker-compose.yml \ + --progress plain \ + build \ + --no-cache \ + --build-arg PYTHON_VERSION="$py_vers" \ + --build-arg APP_VERSION="$APP_VERSION" \ + --build-arg DEVICE_TAG="$DEVICE_TAG" \ + --build-arg DOCKER_DEVICE_STR="$ARG" \ + --build-arg DOCKER_PROGRAMS_STR="${DOCKER_PROGRAMS[*]}" \ + --build-arg CALIBRE_INSTALLER_URL="$CALIBRE_INSTALLER_URL" \ + --build-arg ISO3_LANG="$ISO3_LANG" \ + || return 1 + echo "Docker image ready! to run your docker: " + echo "Docker Compose:" + echo " GUI mode:" + echo " DEVICE_TAG=$DEVICE_TAG docker compose --profile $COMPOSE_PROFILES up --no-log-prefix" + echo " Headless mode:" + echo " DEVICE_TAG=$DEVICE_TAG docker compose --profile $COMPOSE_PROFILES run --rm -v \"/mnt/c/Users/myname/whatever/custom_voice:/app/custom_voice\" $SERVICE --headless --ebook \"/app/ebooks/tests/test_eng.txt\" --tts_engine yourtts --language eng --voice \"/app/Desktop/myvoice.wav\" [etc.]" + else + # echo "--> Using docker buildx" + # docker buildx use default + # docker buildx build \ + echo "--> Using docker build" + docker build \ + --no-cache \ + --progress plain \ + --build-arg PYTHON_VERSION="$py_vers" \ + --build-arg APP_VERSION="$APP_VERSION" \ + --build-arg DEVICE_TAG="$DEVICE_TAG" \ + --build-arg DOCKER_DEVICE_STR="$ARG" \ + --build-arg DOCKER_PROGRAMS_STR="${DOCKER_PROGRAMS[*]}" \ + --build-arg CALIBRE_INSTALLER_URL="$CALIBRE_INSTALLER_URL" \ + --build-arg ISO3_LANG="$ISO3_LANG" \ + -t "$DOCKER_IMG_NAME" \ + . || return 1 + docker image prune --force + echo "Docker image ready! to run your docker: " + echo " GUI mode:" + echo " docker run -v \"./ebooks:/app/ebooks\" -v \"./audiobooks:/app/audiobooks\" -v \"./models:/app/models\" -v \"./voices:/app/voices\" -v \"./tmp:/app/tmp\" ${cmd_options}--rm -it -p 7860:7860 $DOCKER_IMG_NAME" + echo " Headless mode:" + echo " docker run -v \"./ebooks:/app/ebooks\" -v \"./audiobooks:/app/audiobooks\" -v \"./models:/app/models\" -v \"./voices:/app/voices\" -v \"./tmp:/app/tmp\" -v \"/my/real/ebooks/folder/absolute/path:/app/custom_ebooks\" -v \"/my/real/output/folder/absolute/path:/app/audiobooks\" ${cmd_options}--rm -it -p 7860:7860 $DOCKER_IMG_NAME --headless --ebook /app/custom_ebooks/myfile.pdf [--voice /app/my/voicepath/voice.mp3 etc..]" + fi +} + +######################################## END of functions + +if [[ -n "${arguments[help]+exists}" && ${arguments[help]} == true ]]; then + check_python || exit 1 + python3 -u "$SCRIPT_DIR/app.py" "${ARGS[@]}" +else + if [[ "$SCRIPT_MODE" == "$BUILD_DOCKER" ]]; then + if [[ "$DOCKER_DEVICE_STR" == "" ]]; then + check_python || exit 1 + check_docker || exit 1 + DEVICE_INFO_STR="$(check_device_info "${SCRIPT_MODE}")" + if [[ "$DEVICE_INFO_STR" == "" ]]; then + echo "check_device_info() error: result is empty" + exit 1 + fi + if [[ "$DEVICE_TAG" == "" ]]; then + DEVICE_TAG=$(json_get "tag") + fi + if [[ "$PODMAN_DESKTOP" == "1" ]]; then + if podman image exists "localhost/%DOCKER_IMG_NAME%:!DEVICE_TAG!" >/dev/null 2>&1; then + echo "[STOP] Podman image '${DOCKER_IMG_NAME}:${DEVICE_TAG}' already exists. Aborting build." + echo "Delete it using: podman rmi -f localhost/%DOCKER_IMG_NAME%:!DEVICE_TAG!" + exit 1 + fi + elif [[ "$DOCKER_DESKTOP" == "1" ]]; then + if docker image inspect "${DOCKER_IMG_NAME}:${DEVICE_TAG}" >/dev/null 2>&1; then + echo "[STOP] Docker image '${DOCKER_IMG_NAME}:${DEVICE_TAG}' already exists. Aborting build." + echo "Delete it using: docker rmi ${DOCKER_IMG_NAME}:${DEVICE_TAG} --force" + exit 1 + fi + fi + build_docker_image "$DEVICE_INFO_STR" || exit 1 + else + if ! python3 - "$DOCKER_DEVICE_STR" <<'EOF' +import json +import sys +json.loads(sys.argv[1]) +EOF + then + echo "Invalid DOCKER_DEVICE_STR: expected valid JSON" + exit 1 + fi + printf '%s' "$DOCKER_DEVICE_STR" > .device_info.json + install_device_packages "$DOCKER_DEVICE_STR" || exit 1 + install_python_packages || exit 1 + check_sitecustomized || exit 1 + fi + elif [[ "$SCRIPT_MODE" == "$NATIVE" ]]; then + chmod 777 "$TMPDIR" + # Check if running in a Conda or Python virtual environment + if [[ -n "${CONDA_DEFAULT_ENV:-}" && "$CONDA_DEFAULT_ENV" != "base" ]]; then + CURRENT_PYVENV="${CONDA_PREFIX:-}" + elif [[ -n "${VIRTUAL_ENV:-}" ]]; then + CURRENT_PYVENV="$VIRTUAL_ENV" + fi + if [[ -n "$CURRENT_PYVENV" ]]; then + echo -e "\e[31m=============== Error: Current python virtual environment detected: $CURRENT_PYVENV.\e[0m" + echo -e "This script runs with its own virtual env and must be out of any other virtual environment when it's launched." + echo -e "Run 'conda deactivate' (possibly twice) and retry." + exit 1 + fi + # Auto-drop out of base if user has auto_activate_base=true. + if [[ "${CONDA_DEFAULT_ENV:-}" == "base" ]]; then + # Source conda hook if needed so deactivate is available. + if command -v conda &>/dev/null; then + eval "$(conda shell.bash hook 2>/dev/null || true)" + conda deactivate &>/dev/null || true + fi + fi + check_required_programs "${HOST_PROGRAMS[@]}" || install_programs || exit 1 + check_conda || { echo -e "\e[31m=============== check_conda() failed.\e[0m"; exit 1; } + source "$CONDA_ENV" || exit 1 + conda activate "$SCRIPT_DIR/$PYTHON_ENV" || { echo -e "\e[31m=============== conda activate failed.\e[0m"; exit 1; } + check_sitecustomized || exit 1 + check_desktop_app || exit 1 + python3 -u "$SCRIPT_DIR/app.py" --script_mode "$SCRIPT_MODE" "${ARGS[@]}" || exit 1 + conda deactivate > /dev/null 2>&1 + conda deactivate > /dev/null 2>&1 + elif [[ "$SCRIPT_MODE" == "$FULL_DOCKER" ]]; then + check_sitecustomized || exit 1 + python3 -u "$SCRIPT_DIR/app.py" --script_mode "$SCRIPT_MODE" "${ARGS[@]}" || exit 1 + else + echo -e "\e[31m=============== ebook2audiobook is not correctly installed.\e[0m" + fi +fi + +exit 0 \ No newline at end of file diff --git a/ebook2audiobook.egg-info/PKG-INFO b/ebook2audiobook.egg-info/PKG-INFO new file mode 100644 index 0000000..f125b54 --- /dev/null +++ b/ebook2audiobook.egg-info/PKG-INFO @@ -0,0 +1,717 @@ +Metadata-Version: 2.4 +Name: ebook2audiobook +Version: 26.7.9 +Summary: Convert eBooks to audiobooks with chapters and metadata +Author: Drew Thomasson +Project-URL: Homepage, https://github.com/DrewThomasson/ebook2audiobook +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: OS Independent +Requires-Python: <3.13,>3.9 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: faster_whisper>=1.0.2 +Requires-Dist: spacy>=3.7.4 +Requires-Dist: cutlet +Requires-Dist: Cython>=0.29.0 +Requires-Dist: onnx +Requires-Dist: piper-phonemize-fix +Requires-Dist: llvmlite +Requires-Dist: numba +Requires-Dist: librosa>=0.9.2 +Requires-Dist: pytorch-lightning>=1.7.0 +Requires-Dist: onnx-simplifier>=0.4.10 +Requires-Dist: onnxscript>=0.7.0 +Requires-Dist: cryptography +Requires-Dist: py-cpuinfo +Requires-Dist: tqdm +Requires-Dist: regex +Requires-Dist: docker +Requires-Dist: ebooklib +Requires-Dist: python-pptx +Requires-Dist: python-docx +Requires-Dist: lameenc +Requires-Dist: museval +Requires-Dist: openunmix +Requires-Dist: submitit +Requires-Dist: treetable +Requires-Dist: dora-search +Requires-Dist: fastapi +Requires-Dist: hf_xet +Requires-Dist: beautifulsoup4 +Requires-Dist: nagisa +Requires-Dist: pymupdf +Requires-Dist: pymupdf-layout +Requires-Dist: hangul-romanize +Requires-Dist: iso639-lang +Requires-Dist: soynlp +Requires-Dist: jieba +Requires-Dist: uroman +Requires-Dist: fugashi +Requires-Dist: unidic-lite +Requires-Dist: pycantonese +Requires-Dist: pypinyin +Requires-Dist: pythainlp +Requires-Dist: pykakasi +Requires-Dist: mutagen +Requires-Dist: PyOpenGL +Requires-Dist: phonemizer-fork +Requires-Dist: num2words2 +Requires-Dist: pydub +Requires-Dist: soundfile +Requires-Dist: unidecode +Requires-Dist: langdetect +Requires-Dist: phonemizer +Requires-Dist: indic-nlp-library +Requires-Dist: pytesseract +Requires-Dist: torchvggish +Requires-Dist: sentence-transformers +Requires-Dist: stanza==1.10.1 +Requires-Dist: argostranslate==1.11.0 +Requires-Dist: pandas<3.0,>=1.0 +Requires-Dist: gradio==5.49.1 +Requires-Dist: pyannote-audio==3.4.0; python_version < "3.12" +Requires-Dist: pyannote-audio>=4.0.0; python_version >= "3.12" +Requires-Dist: huggingface_hub<1.0,>=0.36.2; python_version < "3.12" +Requires-Dist: huggingface_hub>=1.0; python_version >= "3.12" +Requires-Dist: transformers==4.57.6; python_version < "3.12" +Requires-Dist: transformers>=5.0.0; python_version >= "3.12" +Requires-Dist: coqui-tts[languages]==0.27.5 +Requires-Dist: piper-tts==1.4.2 +Dynamic: license-file +Dynamic: requires-dist + +# 📚 ebook2audiobook (E2A) +CPU/GPU Converter from E-Book to audiobook with chapters and metadata
+using advanced TTS engines and much more.
+Supports voice cloning and 1158 languages! +> [!IMPORTANT] +**This tool is intended for use with non-DRM, legally acquired eBooks only.**
+The authors are not responsible for any misuse of this software or any resulting legal consequences.
+Use this tool responsibly and in accordance with all applicable laws. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Thanks to support ebook2audiobook developers! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Run locally + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + + + Platform + +Docker Pull Count + + +### Run Remotely +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### GUI Interface +![demo_web_gui](assets/demo_web_gui.gif) + +
+ Click to see images of Web GUI + GUI Screen 1 + GUI Screen 2 + GUI Screen 3 +
+ +## Demos + +**New Default Voice Demo** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +
+ More Demos + +**ASMR Voice** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Rainy Day Voice** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett Voice** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough Voice** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Example** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +
+ +## README.md + +## Table of Contents +- [ebook2audiobook](#-ebook2audiobook) +- [Features](#features) +- [GUI Interface](#gui-interface) +- [Demos](#demos) +- [Supported Languages](#supported-languages) +- [Minimum Requirements](#hardware-requirements) +- [Usage](#instructions) + - [Run Locally](#instructions) + - [Launching Gradio Web Interface](#instructions) + - [Basic Headless Usage](#basic-usage) + - [Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload) + - [Help command output](#help-command-output) + - [Run Remotely](#run-remotely) + - [Docker](#docker) + - [Steps to Run](#docker) + - [Common Docker Issues](#common-docker-issues) + +- [Fine Tuned TTS models](#fine-tuned-tts-models) + - [Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection) + - [Train XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Supported eBook Formats](#supported-ebook-formats) +- [Output Formats](#output-and-process-formats) +- [Revert to older Version](#reverting-to-older-versions) +- [Common Issues](#common-issues) +- [Special Thanks](#special-thanks) +- [Table of Contents](#table-of-contents) + + +## Features +- 🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **TextArea** to convert directly a short text in audio +- 🔍 **OCR scanning** for files with text pages as images +- 🔊 **High-quality text-to-speech** from near realtime to near real voice +- 🗣️ **Optional voice cloning** using your own voice file +- 🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available)) +- 🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Fine-tuned preset models** trained by the E2A Team
+ (Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list) + + +## Hardware Requirements +- 2GB RAM min, 8GB recommended. +- 1GB VRAM min, 4GB recommended. +- Virtualization enabled if running on windows (Docker only). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +* Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc.. + +## Supported Languages +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Supported eBook Formats +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Best results**: `.epub` or `.mobi` for automatic chapter detection + +## Output and process Formats +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Process format can be changed in lib/conf.py + +## SML tags available +- `[break]` — silence (random range **0.3–0.6 sec.**) +- `[pause]` — silence (random range **1.0–1.6 sec.**) +- `[pause:N]` — fixed pause (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI + +**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)** + +> [!IMPORTANT] +**Before to post an install or bug issue search carefully to the opened and closed issues TAB
+to be sure your issue does not exist already.** + +>[!NOTE] +**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.
+So you should first remove manually any text you don't want to be converted in audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Install / Run ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + Note for MacOS users: homebrew is installed to install missing programs. + + - **Mac Launcher** + Double click `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + Note for Windows users: scoop is installed to install missing programs without administrator privileges. + +1. **Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/` +2. **For Public Link**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**If the script is stopped and run again, you need to refresh your gradio GUI interface
+to let the web page reconnect to the new connection socket.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook --voice --language + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook --voice --language + ``` + + - **[--ebook]**: Path to your eBook file + - **[--voice]**: Voice cloning file path (optional) + - **[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).
+ Default language is eng and --language is optional for default language set in ./lib/lang.py.
+ The ISO-639-1 2 letters codes are also supported. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook --language --custom_model + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook --language --custom_model + ``` + Note: the ref.wav of your custom model is always the voice selected for the conversion + +- ****: Path to `model_name.zip` file, + which must contain (according to the tts engine) all the mandatory files
+ (see ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + + +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _ suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component. +TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +### Common Docker Issues +- My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) + +## Fine Tuned TTS models +#### Fine Tune your own XTTSv2 model + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### De-noise training data + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Fine Tuned TTS Collection + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory: + +## Your own Ebook2Audiobook customization +You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make +a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put +back the original one. You must plan the same process for models.py. If you wish to make your own custom model +as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Common Issues: +- My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU is slow (better on server smp CPU) while GPU can have almost real time conversion. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu). +- "I'm having dependency issues" - Just use the docker, its fully self contained and has a headless mode, + add `--help` parameter at the end of the docker run command for more information. +- "I'm getting a truncated audio issue!" - PLEASE MAKE AN ISSUE OF THIS, + we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊 + +## ***** ROADMAP ***** +- All Features open to public Contributions ⭐ +- Any help from people speaking any of the supported languages to help us improve the models ⭐ +- [x] Preview Blocks/Chapters before to start the conversion +- [ ] Edit by sentence converted for surgical text change +- [x] SML tags integration for voice, pause, break, and more changes +- [x] -h -help parameter info in different languages +- [x] OCR scanning for PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] [Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] Audiobookshelf integration + +#### Extra Options +- [x] Ebook Translation option +- [x] Output format choices +- [x] Batch ebook folder +- [x] Multiprocessing conversion +- [x] Batch ebook folder conversion +- [x] GPU Device detection +- [x] Denoise any reference audio for upload voice cloning, +- [x] Custom model upload (XTTSv2 only for now. more on request) +- [ ] Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome) +- [ ] Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome) + +#### TTS engines +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Tortoise +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme Translation +- [x] Arabic (ara) +- [x] Chinese (zho) +- [x] English (eng) +- [x] Spanish (spa) +- [x] French (fra) +- [x] German (deu) +- [x] Italian (ita) +- [x] Portuguese (por) +- [x] Polish (pol) +- [x] Turkish (tur) +- [x] Russian (rus) +- [x] Dutch (nld) +- [x] Czech (ces) +- [x] Japanese (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Hungarian (hun) +- [x] Korean (kor) +- [x] Vietnamese (vie) +- [x] Swedish (swe) +- [x] Persian (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesian (ind) +- [x] Slovak (slk) +- [x] Croatian (hrv) + +#### 🐍 OS Compatibility +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) +- For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Python Code normalization information for contributors +- no blank line between code, unless between functions and classes. +- single quote used for all key unless for dict() and json. dict['key'] always called with single quote +- 4 spaces indentation, not tab at all +- strict typing for all functions and its arguments declaration and return values +- no space between the argument and its typing, no space between the function, the "->" and the return value + +Example: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardware donation for beta tests wanted +We accept any kind of hardware to test our development like: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson if you want to help out at all! 😃 + + +## Special Thanks +- **Coqui TTS**: [Coqui TTS GitHub](https://github.com/idiap/coqui-ai-TTS) +- **Calibre**: [Calibre Website](https://calibre-ebook.com) +- **FFmpeg**: [FFmpeg Website](https://ffmpeg.org) +- [@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) diff --git a/ebook2audiobook.egg-info/SOURCES.txt b/ebook2audiobook.egg-info/SOURCES.txt new file mode 100644 index 0000000..e60f086 --- /dev/null +++ b/ebook2audiobook.egg-info/SOURCES.txt @@ -0,0 +1,20 @@ +LICENSE +MANIFEST.in +README.md +VERSION.txt +app.py +pyproject.toml +requirements.txt +setup.py +ebook2audiobook.egg-info/PKG-INFO +ebook2audiobook.egg-info/SOURCES.txt +ebook2audiobook.egg-info/dependency_links.txt +ebook2audiobook.egg-info/entry_points.txt +ebook2audiobook.egg-info/requires.txt +ebook2audiobook.egg-info/top_level.txt +lib/__init__.py +lib/conf.py +lib/conf_lang.py +lib/conf_models.py +lib/core.py +lib/gradio.py \ No newline at end of file diff --git a/ebook2audiobook.egg-info/dependency_links.txt b/ebook2audiobook.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/ebook2audiobook.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/ebook2audiobook.egg-info/entry_points.txt b/ebook2audiobook.egg-info/entry_points.txt new file mode 100644 index 0000000..d01479d --- /dev/null +++ b/ebook2audiobook.egg-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +ebook2audiobook = app:main diff --git a/ebook2audiobook.egg-info/requires.txt b/ebook2audiobook.egg-info/requires.txt new file mode 100644 index 0000000..d17286c --- /dev/null +++ b/ebook2audiobook.egg-info/requires.txt @@ -0,0 +1,72 @@ +faster_whisper>=1.0.2 +spacy>=3.7.4 +cutlet +Cython>=0.29.0 +onnx +piper-phonemize-fix +llvmlite +numba +librosa>=0.9.2 +pytorch-lightning>=1.7.0 +onnx-simplifier>=0.4.10 +onnxscript>=0.7.0 +cryptography +py-cpuinfo +tqdm +regex +docker +ebooklib +python-pptx +python-docx +lameenc +museval +openunmix +submitit +treetable +dora-search +fastapi +hf_xet +beautifulsoup4 +nagisa +pymupdf +pymupdf-layout +hangul-romanize +iso639-lang +soynlp +jieba +uroman +fugashi +unidic-lite +pycantonese +pypinyin +pythainlp +pykakasi +mutagen +PyOpenGL +phonemizer-fork +num2words2 +pydub +soundfile +unidecode +langdetect +phonemizer +indic-nlp-library +pytesseract +torchvggish +sentence-transformers +stanza==1.10.1 +argostranslate==1.11.0 +pandas<3.0,>=1.0 +gradio==5.49.1 +coqui-tts[languages]==0.27.5 +piper-tts==1.4.2 + +[:python_version < "3.12"] +pyannote-audio==3.4.0 +huggingface_hub<1.0,>=0.36.2 +transformers==4.57.6 + +[:python_version >= "3.12"] +pyannote-audio>=4.0.0 +huggingface_hub>=1.0 +transformers>=5.0.0 diff --git a/ebook2audiobook.egg-info/top_level.txt b/ebook2audiobook.egg-info/top_level.txt new file mode 100644 index 0000000..69577d7 --- /dev/null +++ b/ebook2audiobook.egg-info/top_level.txt @@ -0,0 +1,2 @@ +app +lib diff --git a/ebook2audiobook.sh b/ebook2audiobook.sh new file mode 120000 index 0000000..759ade4 --- /dev/null +++ b/ebook2audiobook.sh @@ -0,0 +1 @@ +ebook2audiobook.command \ No newline at end of file diff --git a/ebooks/.gitkeep b/ebooks/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/ebooks/tests/__cover.jpg b/ebooks/tests/__cover.jpg new file mode 100644 index 0000000..b724435 Binary files /dev/null and b/ebooks/tests/__cover.jpg differ diff --git a/ebooks/tests/test_aka.azw3 b/ebooks/tests/test_aka.azw3 new file mode 100644 index 0000000..38c70c7 Binary files /dev/null and b/ebooks/tests/test_aka.azw3 differ diff --git a/ebooks/tests/test_aka.txt b/ebooks/tests/test_aka.txt new file mode 100644 index 0000000..7367afd --- /dev/null +++ b/ebooks/tests/test_aka.txt @@ -0,0 +1 @@ +Eyi yɛ sɔhwɛ a efi nea efi text file mu kɔ audiobook nsakrae mu ba. \ No newline at end of file diff --git a/ebooks/tests/test_amh.azw3 b/ebooks/tests/test_amh.azw3 new file mode 100644 index 0000000..b1659ae Binary files /dev/null and b/ebooks/tests/test_amh.azw3 differ diff --git a/ebooks/tests/test_amh.txt b/ebooks/tests/test_amh.txt new file mode 100644 index 0000000..f23a545 --- /dev/null +++ b/ebooks/tests/test_amh.txt @@ -0,0 +1 @@ +ይህ ከጽሑፍ ፋይል ወደ ኦዲዮ መጽሐፍ ልወጣ የተደረገ ሙከራ ነው። \ No newline at end of file diff --git a/ebooks/tests/test_ara.azw3 b/ebooks/tests/test_ara.azw3 new file mode 100644 index 0000000..c65d4da Binary files /dev/null and b/ebooks/tests/test_ara.azw3 differ diff --git a/ebooks/tests/test_ara.txt b/ebooks/tests/test_ara.txt new file mode 100644 index 0000000..b052684 --- /dev/null +++ b/ebooks/tests/test_ara.txt @@ -0,0 +1 @@ +هذا اختبار لنتيجة تحويل ملف نصي إلى كتاب صوتي. \ No newline at end of file diff --git a/ebooks/tests/test_asm.azw3 b/ebooks/tests/test_asm.azw3 new file mode 100644 index 0000000..472eea2 Binary files /dev/null and b/ebooks/tests/test_asm.azw3 differ diff --git a/ebooks/tests/test_asm.txt b/ebooks/tests/test_asm.txt new file mode 100644 index 0000000..d3e4224 --- /dev/null +++ b/ebooks/tests/test_asm.txt @@ -0,0 +1 @@ +এইটো এটা পৰীক্ষা টেক্সট ফাইলৰ ফলাফলৰ পৰা অডিঅ'বুক ৰূপান্তৰলৈ। \ No newline at end of file diff --git a/ebooks/tests/test_bam.azw3 b/ebooks/tests/test_bam.azw3 new file mode 100644 index 0000000..ebcef1c Binary files /dev/null and b/ebooks/tests/test_bam.azw3 differ diff --git a/ebooks/tests/test_bam.txt b/ebooks/tests/test_bam.txt new file mode 100644 index 0000000..5f6c9e5 --- /dev/null +++ b/ebooks/tests/test_bam.txt @@ -0,0 +1 @@ +Nin ye kɔrɔbɔli ye ka Bɔ sɛbɛnni-dosiyɛri jaabi la ka Kɛ gafe lamɛntaw jiginni ye. \ No newline at end of file diff --git a/ebooks/tests/test_ben.azw3 b/ebooks/tests/test_ben.azw3 new file mode 100644 index 0000000..5800215 Binary files /dev/null and b/ebooks/tests/test_ben.azw3 differ diff --git a/ebooks/tests/test_ben.txt b/ebooks/tests/test_ben.txt new file mode 100644 index 0000000..aa550c4 --- /dev/null +++ b/ebooks/tests/test_ben.txt @@ -0,0 +1 @@ +এটি পাঠ্য ফাইল থেকে অডিওবুক রূপান্তরের ফলাফল থেকে একটি পরীক্ষা। \ No newline at end of file diff --git a/ebooks/tests/test_bul.azw3 b/ebooks/tests/test_bul.azw3 new file mode 100644 index 0000000..e021603 Binary files /dev/null and b/ebooks/tests/test_bul.azw3 differ diff --git a/ebooks/tests/test_bul.txt b/ebooks/tests/test_bul.txt new file mode 100644 index 0000000..6d6e72b --- /dev/null +++ b/ebooks/tests/test_bul.txt @@ -0,0 +1 @@ +Това е тест от резултата от преобразуването на текстов файл в аудиокнига. \ No newline at end of file diff --git a/ebooks/tests/test_cat.azw3 b/ebooks/tests/test_cat.azw3 new file mode 100644 index 0000000..41d5990 Binary files /dev/null and b/ebooks/tests/test_cat.azw3 differ diff --git a/ebooks/tests/test_cat.txt b/ebooks/tests/test_cat.txt new file mode 100644 index 0000000..ff2afdf --- /dev/null +++ b/ebooks/tests/test_cat.txt @@ -0,0 +1 @@ +Aquesta és una prova del resultat de la conversió d'un fitxer de text a un audiollibre. \ No newline at end of file diff --git a/ebooks/tests/test_ceb.azw3 b/ebooks/tests/test_ceb.azw3 new file mode 100644 index 0000000..5dd5d56 Binary files /dev/null and b/ebooks/tests/test_ceb.azw3 differ diff --git a/ebooks/tests/test_ceb.txt b/ebooks/tests/test_ceb.txt new file mode 100644 index 0000000..d6279bc --- /dev/null +++ b/ebooks/tests/test_ceb.txt @@ -0,0 +1 @@ +Kini usa ka pagsulay gikan sa resulta sa text file ngadto sa pagkakabig sa audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_ces.azw3 b/ebooks/tests/test_ces.azw3 new file mode 100644 index 0000000..b733995 Binary files /dev/null and b/ebooks/tests/test_ces.azw3 differ diff --git a/ebooks/tests/test_ces.txt b/ebooks/tests/test_ces.txt new file mode 100644 index 0000000..c0f507c --- /dev/null +++ b/ebooks/tests/test_ces.txt @@ -0,0 +1 @@ +Toto je test z výsledku převodu textového souboru na audioknihu. \ No newline at end of file diff --git a/ebooks/tests/test_cym.azw3 b/ebooks/tests/test_cym.azw3 new file mode 100644 index 0000000..f8a0a2f Binary files /dev/null and b/ebooks/tests/test_cym.azw3 differ diff --git a/ebooks/tests/test_cym.txt b/ebooks/tests/test_cym.txt new file mode 100644 index 0000000..e87b1ed --- /dev/null +++ b/ebooks/tests/test_cym.txt @@ -0,0 +1 @@ +Mae hwn yn brawf o ganlyniad ffeil testun i drosi llyfr sain. \ No newline at end of file diff --git a/ebooks/tests/test_dan.azw3 b/ebooks/tests/test_dan.azw3 new file mode 100644 index 0000000..266b072 Binary files /dev/null and b/ebooks/tests/test_dan.azw3 differ diff --git a/ebooks/tests/test_dan.txt b/ebooks/tests/test_dan.txt new file mode 100644 index 0000000..7a4dc6d --- /dev/null +++ b/ebooks/tests/test_dan.txt @@ -0,0 +1 @@ +Dette er en test fra resultatet af konvertering af tekstfil til lydbog. \ No newline at end of file diff --git a/ebooks/tests/test_deu.azw3 b/ebooks/tests/test_deu.azw3 new file mode 100644 index 0000000..01f8293 Binary files /dev/null and b/ebooks/tests/test_deu.azw3 differ diff --git a/ebooks/tests/test_deu.txt b/ebooks/tests/test_deu.txt new file mode 100644 index 0000000..58c0686 --- /dev/null +++ b/ebooks/tests/test_deu.txt @@ -0,0 +1 @@ +Dies ist ein Test des Ergebnisses der Konvertierung einer Textdatei in ein Hörbuch. \ No newline at end of file diff --git a/ebooks/tests/test_div.azw3 b/ebooks/tests/test_div.azw3 new file mode 100644 index 0000000..bf75931 Binary files /dev/null and b/ebooks/tests/test_div.azw3 differ diff --git a/ebooks/tests/test_div.txt b/ebooks/tests/test_div.txt new file mode 100644 index 0000000..59de1fa --- /dev/null +++ b/ebooks/tests/test_div.txt @@ -0,0 +1 @@ +މިއީ ޓެކްސްޓް ފައިލްގެ ނަތީޖާއިން އޯޑިއޯބުކް ބަދަލުކުރުމުގެ ޓެސްޓެކެވެ. \ No newline at end of file diff --git a/ebooks/tests/test_ell.azw3 b/ebooks/tests/test_ell.azw3 new file mode 100644 index 0000000..811e297 Binary files /dev/null and b/ebooks/tests/test_ell.azw3 differ diff --git a/ebooks/tests/test_ell.txt b/ebooks/tests/test_ell.txt new file mode 100644 index 0000000..fe88741 --- /dev/null +++ b/ebooks/tests/test_ell.txt @@ -0,0 +1 @@ +Αυτή είναι μια δοκιμή από το αποτέλεσμα της μετατροπής αρχείου κειμένου σε ηχητικό βιβλίο. \ No newline at end of file diff --git a/ebooks/tests/test_eng.azw3 b/ebooks/tests/test_eng.azw3 new file mode 100644 index 0000000..2b47fad Binary files /dev/null and b/ebooks/tests/test_eng.azw3 differ diff --git a/ebooks/tests/test_eng.txt b/ebooks/tests/test_eng.txt new file mode 100644 index 0000000..2d36df1 --- /dev/null +++ b/ebooks/tests/test_eng.txt @@ -0,0 +1 @@ +This is a test from the result of text file to audiobook conversion. \ No newline at end of file diff --git a/ebooks/tests/test_eus.azw3 b/ebooks/tests/test_eus.azw3 new file mode 100644 index 0000000..071476c Binary files /dev/null and b/ebooks/tests/test_eus.azw3 differ diff --git a/ebooks/tests/test_eus.txt b/ebooks/tests/test_eus.txt new file mode 100644 index 0000000..9e4e232 --- /dev/null +++ b/ebooks/tests/test_eus.txt @@ -0,0 +1 @@ +Testu-fitxategiaren emaitzatik audio-liburu bihurtzerako proba bat da. \ No newline at end of file diff --git a/ebooks/tests/test_ewe.azw3 b/ebooks/tests/test_ewe.azw3 new file mode 100644 index 0000000..4a3e77c Binary files /dev/null and b/ebooks/tests/test_ewe.azw3 differ diff --git a/ebooks/tests/test_ewe.txt b/ebooks/tests/test_ewe.txt new file mode 100644 index 0000000..67df0e9 --- /dev/null +++ b/ebooks/tests/test_ewe.txt @@ -0,0 +1 @@ +Esia nye dodokpɔ tso text file ƒe tɔtrɔ yi audiobook ƒe tɔtrɔ me tsonu me. \ No newline at end of file diff --git a/ebooks/tests/test_fas.azw3 b/ebooks/tests/test_fas.azw3 new file mode 100644 index 0000000..4eec395 Binary files /dev/null and b/ebooks/tests/test_fas.azw3 differ diff --git a/ebooks/tests/test_fas.txt b/ebooks/tests/test_fas.txt new file mode 100644 index 0000000..cfed3cf --- /dev/null +++ b/ebooks/tests/test_fas.txt @@ -0,0 +1 @@ +این یک تست از نتیجه تبدیل فایل متنی به کتاب صوتی است. \ No newline at end of file diff --git a/ebooks/tests/test_fin.azw3 b/ebooks/tests/test_fin.azw3 new file mode 100644 index 0000000..cd1e36f Binary files /dev/null and b/ebooks/tests/test_fin.azw3 differ diff --git a/ebooks/tests/test_fin.txt b/ebooks/tests/test_fin.txt new file mode 100644 index 0000000..63f9fe4 --- /dev/null +++ b/ebooks/tests/test_fin.txt @@ -0,0 +1 @@ +Tämä on testi tekstitiedoston muuntamisen tuloksesta äänikirjaksi. \ No newline at end of file diff --git a/ebooks/tests/test_fra.azw3 b/ebooks/tests/test_fra.azw3 new file mode 100644 index 0000000..7bda335 Binary files /dev/null and b/ebooks/tests/test_fra.azw3 differ diff --git a/ebooks/tests/test_fra.txt b/ebooks/tests/test_fra.txt new file mode 100644 index 0000000..8384a4f --- /dev/null +++ b/ebooks/tests/test_fra.txt @@ -0,0 +1 @@ +Il s'agit d'un test du résultat de la conversion d'un fichier texte en livre audio. \ No newline at end of file diff --git a/ebooks/tests/test_grn.azw3 b/ebooks/tests/test_grn.azw3 new file mode 100644 index 0000000..905c84a Binary files /dev/null and b/ebooks/tests/test_grn.azw3 differ diff --git a/ebooks/tests/test_grn.txt b/ebooks/tests/test_grn.txt new file mode 100644 index 0000000..65ad0c3 --- /dev/null +++ b/ebooks/tests/test_grn.txt @@ -0,0 +1 @@ +Kóva haꞌehína peteĩ prueba oúva archivo de texto resultado guive audiolibro ñembohasápe. \ No newline at end of file diff --git a/ebooks/tests/test_guj.azw3 b/ebooks/tests/test_guj.azw3 new file mode 100644 index 0000000..ca9ec6a Binary files /dev/null and b/ebooks/tests/test_guj.azw3 differ diff --git a/ebooks/tests/test_guj.txt b/ebooks/tests/test_guj.txt new file mode 100644 index 0000000..03b2f6c --- /dev/null +++ b/ebooks/tests/test_guj.txt @@ -0,0 +1 @@ +આ ટેક્સ્ટ ફાઇલના પરિણામથી ઑડિઓબુક રૂપાંતરણ માટેનું પરીક્ષણ છે. \ No newline at end of file diff --git a/ebooks/tests/test_hat.azw3 b/ebooks/tests/test_hat.azw3 new file mode 100644 index 0000000..1bb31de Binary files /dev/null and b/ebooks/tests/test_hat.azw3 differ diff --git a/ebooks/tests/test_hat.txt b/ebooks/tests/test_hat.txt new file mode 100644 index 0000000..02808b5 --- /dev/null +++ b/ebooks/tests/test_hat.txt @@ -0,0 +1 @@ +Sa a se yon tès soti nan rezilta a nan dosye tèks konvèsyon liv odyo. \ No newline at end of file diff --git a/ebooks/tests/test_hau.azw3 b/ebooks/tests/test_hau.azw3 new file mode 100644 index 0000000..aaa8e93 Binary files /dev/null and b/ebooks/tests/test_hau.azw3 differ diff --git a/ebooks/tests/test_hau.txt b/ebooks/tests/test_hau.txt new file mode 100644 index 0000000..43858cc --- /dev/null +++ b/ebooks/tests/test_hau.txt @@ -0,0 +1 @@ +Wannan gwaji ne daga sakamakon fayil ɗin rubutu zuwa sauya littafin mai jiwuwa. \ No newline at end of file diff --git a/ebooks/tests/test_hin.azw3 b/ebooks/tests/test_hin.azw3 new file mode 100644 index 0000000..e7df4f7 Binary files /dev/null and b/ebooks/tests/test_hin.azw3 differ diff --git a/ebooks/tests/test_hin.txt b/ebooks/tests/test_hin.txt new file mode 100644 index 0000000..4159eb2 --- /dev/null +++ b/ebooks/tests/test_hin.txt @@ -0,0 +1 @@ +यह टेक्स्ट फ़ाइल से ऑडियोबुक रूपांतरण के परिणाम का परीक्षण है। \ No newline at end of file diff --git a/ebooks/tests/test_hrv.azw3 b/ebooks/tests/test_hrv.azw3 new file mode 100644 index 0000000..60c646c Binary files /dev/null and b/ebooks/tests/test_hrv.azw3 differ diff --git a/ebooks/tests/test_hrv.txt b/ebooks/tests/test_hrv.txt new file mode 100644 index 0000000..548aa1f --- /dev/null +++ b/ebooks/tests/test_hrv.txt @@ -0,0 +1 @@ +Ovo je test rezultata pretvorbe tekstualne datoteke u audioknjigu. \ No newline at end of file diff --git a/ebooks/tests/test_hun.azw3 b/ebooks/tests/test_hun.azw3 new file mode 100644 index 0000000..d72030b Binary files /dev/null and b/ebooks/tests/test_hun.azw3 differ diff --git a/ebooks/tests/test_hun.txt b/ebooks/tests/test_hun.txt new file mode 100644 index 0000000..89cc8ac --- /dev/null +++ b/ebooks/tests/test_hun.txt @@ -0,0 +1 @@ +Ez egy teszt a szöveges fájl eredményétől a hangoskönyv-konverzióig. \ No newline at end of file diff --git a/ebooks/tests/test_ilo.azw3 b/ebooks/tests/test_ilo.azw3 new file mode 100644 index 0000000..e7c19e5 Binary files /dev/null and b/ebooks/tests/test_ilo.azw3 differ diff --git a/ebooks/tests/test_ilo.txt b/ebooks/tests/test_ilo.txt new file mode 100644 index 0000000..b0cf1bd --- /dev/null +++ b/ebooks/tests/test_ilo.txt @@ -0,0 +1 @@ +Daytoy ket maysa a pagsubok manipud iti resulta ti text file agingga iti audiobook conversion. \ No newline at end of file diff --git a/ebooks/tests/test_ind.azw3 b/ebooks/tests/test_ind.azw3 new file mode 100644 index 0000000..e9c5f1d Binary files /dev/null and b/ebooks/tests/test_ind.azw3 differ diff --git a/ebooks/tests/test_ind.txt b/ebooks/tests/test_ind.txt new file mode 100644 index 0000000..1ad9aa1 --- /dev/null +++ b/ebooks/tests/test_ind.txt @@ -0,0 +1 @@ +Ini adalah uji coba dari hasil konversi file teks ke buku audio. \ No newline at end of file diff --git a/ebooks/tests/test_isl.azw3 b/ebooks/tests/test_isl.azw3 new file mode 100644 index 0000000..f301215 Binary files /dev/null and b/ebooks/tests/test_isl.azw3 differ diff --git a/ebooks/tests/test_isl.txt b/ebooks/tests/test_isl.txt new file mode 100644 index 0000000..b90b68b --- /dev/null +++ b/ebooks/tests/test_isl.txt @@ -0,0 +1 @@ +Þetta er próf frá niðurstöðu textaskrár í hljóðbók umbreytingu. \ No newline at end of file diff --git a/ebooks/tests/test_ita.azw3 b/ebooks/tests/test_ita.azw3 new file mode 100644 index 0000000..768884c Binary files /dev/null and b/ebooks/tests/test_ita.azw3 differ diff --git a/ebooks/tests/test_ita.txt b/ebooks/tests/test_ita.txt new file mode 100644 index 0000000..e83700b --- /dev/null +++ b/ebooks/tests/test_ita.txt @@ -0,0 +1 @@ +Questo è un test del risultato della conversione da file di testo ad audiolibro. \ No newline at end of file diff --git a/ebooks/tests/test_jpn.azw3 b/ebooks/tests/test_jpn.azw3 new file mode 100644 index 0000000..3e18fd5 Binary files /dev/null and b/ebooks/tests/test_jpn.azw3 differ diff --git a/ebooks/tests/test_jpn.txt b/ebooks/tests/test_jpn.txt new file mode 100644 index 0000000..19e3c2e --- /dev/null +++ b/ebooks/tests/test_jpn.txt @@ -0,0 +1 @@ +これはテキストファイルからオーディオブックへの変換結果のテストです。 \ No newline at end of file diff --git a/ebooks/tests/test_kan.azw3 b/ebooks/tests/test_kan.azw3 new file mode 100644 index 0000000..4e3f3dd Binary files /dev/null and b/ebooks/tests/test_kan.azw3 differ diff --git a/ebooks/tests/test_kan.txt b/ebooks/tests/test_kan.txt new file mode 100644 index 0000000..97d55d0 --- /dev/null +++ b/ebooks/tests/test_kan.txt @@ -0,0 +1 @@ +ಇದು ಪಠ್ಯ ಫೈಲ್‌ನಿಂದ ಆಡಿಯೊಬುಕ್ ಪರಿವರ್ತನೆಯ ಫಲಿತಾಂಶದಿಂದ ಪರೀಕ್ಷೆಯಾಗಿದೆ. \ No newline at end of file diff --git a/ebooks/tests/test_kaz.azw3 b/ebooks/tests/test_kaz.azw3 new file mode 100644 index 0000000..270d542 Binary files /dev/null and b/ebooks/tests/test_kaz.azw3 differ diff --git a/ebooks/tests/test_kaz.txt b/ebooks/tests/test_kaz.txt new file mode 100644 index 0000000..b0e6f8c --- /dev/null +++ b/ebooks/tests/test_kaz.txt @@ -0,0 +1 @@ +Бұл мәтіндік файл нәтижесінен аудиокітапқа түрлендіруге арналған сынақ. \ No newline at end of file diff --git a/ebooks/tests/test_khm.azw3 b/ebooks/tests/test_khm.azw3 new file mode 100644 index 0000000..636608a Binary files /dev/null and b/ebooks/tests/test_khm.azw3 differ diff --git a/ebooks/tests/test_khm.txt b/ebooks/tests/test_khm.txt new file mode 100644 index 0000000..4e24cb6 --- /dev/null +++ b/ebooks/tests/test_khm.txt @@ -0,0 +1 @@ +នេះគឺជាការសាកល្បងពីលទ្ធផលនៃឯកសារអត្ថបទទៅជាការបំប្លែងសៀវភៅអូឌីយ៉ូ។ \ No newline at end of file diff --git a/ebooks/tests/test_kin.azw3 b/ebooks/tests/test_kin.azw3 new file mode 100644 index 0000000..1c3ff89 Binary files /dev/null and b/ebooks/tests/test_kin.azw3 differ diff --git a/ebooks/tests/test_kin.txt b/ebooks/tests/test_kin.txt new file mode 100644 index 0000000..3b3201b --- /dev/null +++ b/ebooks/tests/test_kin.txt @@ -0,0 +1 @@ +Iki nikizamini kuva mubisubizo bya dosiye yinyandiko kugirango uhindure audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_kir.azw3 b/ebooks/tests/test_kir.azw3 new file mode 100644 index 0000000..bf57ed9 Binary files /dev/null and b/ebooks/tests/test_kir.azw3 differ diff --git a/ebooks/tests/test_kir.txt b/ebooks/tests/test_kir.txt new file mode 100644 index 0000000..86dc5c9 --- /dev/null +++ b/ebooks/tests/test_kir.txt @@ -0,0 +1 @@ +Бул тексттик файлдын жыйынтыгынан аудиокитепке айландыруу үчүн сыноо. \ No newline at end of file diff --git a/ebooks/tests/test_kor.azw3 b/ebooks/tests/test_kor.azw3 new file mode 100644 index 0000000..69d871a Binary files /dev/null and b/ebooks/tests/test_kor.azw3 differ diff --git a/ebooks/tests/test_kor.txt b/ebooks/tests/test_kor.txt new file mode 100644 index 0000000..0906873 --- /dev/null +++ b/ebooks/tests/test_kor.txt @@ -0,0 +1 @@ +이는 텍스트 파일을 오디오북으로 변환한 결과에 대한 테스트입니다. \ No newline at end of file diff --git a/ebooks/tests/test_kri.azw3 b/ebooks/tests/test_kri.azw3 new file mode 100644 index 0000000..14c63f3 Binary files /dev/null and b/ebooks/tests/test_kri.azw3 differ diff --git a/ebooks/tests/test_kri.txt b/ebooks/tests/test_kri.txt new file mode 100644 index 0000000..1a493fe --- /dev/null +++ b/ebooks/tests/test_kri.txt @@ -0,0 +1 @@ +Dis na tɛst frɔm di rizɔlt fɔ tɛks fayl to ɔdiobuk kɔnvɔshɔn. \ No newline at end of file diff --git a/ebooks/tests/test_lao.azw3 b/ebooks/tests/test_lao.azw3 new file mode 100644 index 0000000..16f6402 Binary files /dev/null and b/ebooks/tests/test_lao.azw3 differ diff --git a/ebooks/tests/test_lao.txt b/ebooks/tests/test_lao.txt new file mode 100644 index 0000000..e8f8d58 --- /dev/null +++ b/ebooks/tests/test_lao.txt @@ -0,0 +1 @@ +ນີ້​ແມ່ນ​ການ​ທົດ​ສອບ​ຈາກ​ຜົນ​ຂອງ​ໄຟລ​໌​ຂໍ້​ຄວາມ​ກັບ​ການ​ປ່ຽນ audiobook​. \ No newline at end of file diff --git a/ebooks/tests/test_lat.azw3 b/ebooks/tests/test_lat.azw3 new file mode 100644 index 0000000..14b0f4a Binary files /dev/null and b/ebooks/tests/test_lat.azw3 differ diff --git a/ebooks/tests/test_lat.txt b/ebooks/tests/test_lat.txt new file mode 100644 index 0000000..489f4f1 --- /dev/null +++ b/ebooks/tests/test_lat.txt @@ -0,0 +1 @@ +Hoc experimentum est e eventu limae texti ad conversionem audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_lav.azw3 b/ebooks/tests/test_lav.azw3 new file mode 100644 index 0000000..664dba1 Binary files /dev/null and b/ebooks/tests/test_lav.azw3 differ diff --git a/ebooks/tests/test_lav.txt b/ebooks/tests/test_lav.txt new file mode 100644 index 0000000..5df3fd3 --- /dev/null +++ b/ebooks/tests/test_lav.txt @@ -0,0 +1 @@ +Šis ir tests no teksta faila rezultāta līdz audiogrāmatas konvertēšanai. \ No newline at end of file diff --git a/ebooks/tests/test_lug.azw3 b/ebooks/tests/test_lug.azw3 new file mode 100644 index 0000000..7b4a73a Binary files /dev/null and b/ebooks/tests/test_lug.azw3 differ diff --git a/ebooks/tests/test_lug.txt b/ebooks/tests/test_lug.txt new file mode 100644 index 0000000..b8d4316 --- /dev/null +++ b/ebooks/tests/test_lug.txt @@ -0,0 +1 @@ +Kino kigezo okuva ku bivudde mu kukyusa fayiro y’ebiwandiiko okudda mu kukyusa ebitabo ebiwulikika. \ No newline at end of file diff --git a/ebooks/tests/test_mai.azw3 b/ebooks/tests/test_mai.azw3 new file mode 100644 index 0000000..13d8343 Binary files /dev/null and b/ebooks/tests/test_mai.azw3 differ diff --git a/ebooks/tests/test_mai.txt b/ebooks/tests/test_mai.txt new file mode 100644 index 0000000..7fa3037 --- /dev/null +++ b/ebooks/tests/test_mai.txt @@ -0,0 +1 @@ +ई टेक्स्ट फाइल केरऽ परिणाम स॑ ऑडियोबुक रूपांतरण म॑ परीक्षा छै । \ No newline at end of file diff --git a/ebooks/tests/test_mal.azw3 b/ebooks/tests/test_mal.azw3 new file mode 100644 index 0000000..1fbd030 Binary files /dev/null and b/ebooks/tests/test_mal.azw3 differ diff --git a/ebooks/tests/test_mal.txt b/ebooks/tests/test_mal.txt new file mode 100644 index 0000000..ea7ad79 --- /dev/null +++ b/ebooks/tests/test_mal.txt @@ -0,0 +1 @@ +ടെക്‌സ്‌റ്റ് ഫയലിൻ്റെ ഫലത്തിൽ നിന്ന് ഓഡിയോബുക്കിലേക്ക് പരിവർത്തനം ചെയ്യുന്നതിനുള്ള ഒരു പരിശോധനയാണിത്. \ No newline at end of file diff --git a/ebooks/tests/test_mar.azw3 b/ebooks/tests/test_mar.azw3 new file mode 100644 index 0000000..cfb81ab Binary files /dev/null and b/ebooks/tests/test_mar.azw3 differ diff --git a/ebooks/tests/test_mar.txt b/ebooks/tests/test_mar.txt new file mode 100644 index 0000000..0f10782 --- /dev/null +++ b/ebooks/tests/test_mar.txt @@ -0,0 +1 @@ +मजकूर फाइलच्या निकालापासून ते ऑडिओबुक रूपांतरणापर्यंतची ही चाचणी आहे. \ No newline at end of file diff --git a/ebooks/tests/test_mlg.azw3 b/ebooks/tests/test_mlg.azw3 new file mode 100644 index 0000000..f1c9fa5 Binary files /dev/null and b/ebooks/tests/test_mlg.azw3 differ diff --git a/ebooks/tests/test_mlg.txt b/ebooks/tests/test_mlg.txt new file mode 100644 index 0000000..3548f0d --- /dev/null +++ b/ebooks/tests/test_mlg.txt @@ -0,0 +1 @@ +Ity dia fitsapana avy amin'ny vokatry ny rakitra lahatsoratra ho fiovam-peo audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_mon.azw3 b/ebooks/tests/test_mon.azw3 new file mode 100644 index 0000000..92cf541 Binary files /dev/null and b/ebooks/tests/test_mon.azw3 differ diff --git a/ebooks/tests/test_mon.txt b/ebooks/tests/test_mon.txt new file mode 100644 index 0000000..4b656e9 --- /dev/null +++ b/ebooks/tests/test_mon.txt @@ -0,0 +1 @@ +Энэ бол текст файлын үр дүнгээс аудио ном болгон хөрвүүлэх туршилт юм. \ No newline at end of file diff --git a/ebooks/tests/test_mya.azw3 b/ebooks/tests/test_mya.azw3 new file mode 100644 index 0000000..68872b4 Binary files /dev/null and b/ebooks/tests/test_mya.azw3 differ diff --git a/ebooks/tests/test_mya.txt b/ebooks/tests/test_mya.txt new file mode 100644 index 0000000..b3197a1 --- /dev/null +++ b/ebooks/tests/test_mya.txt @@ -0,0 +1 @@ +၎င်းသည် စာသားဖိုင်မှ အော်ဒီယိုစာအုပ်သို့ ပြောင်းလဲခြင်း၏ ရလဒ်တစ်ခုဖြစ်သည်။ \ No newline at end of file diff --git a/ebooks/tests/test_nld.azw3 b/ebooks/tests/test_nld.azw3 new file mode 100644 index 0000000..36d0946 Binary files /dev/null and b/ebooks/tests/test_nld.azw3 differ diff --git a/ebooks/tests/test_nld.txt b/ebooks/tests/test_nld.txt new file mode 100644 index 0000000..6f83484 --- /dev/null +++ b/ebooks/tests/test_nld.txt @@ -0,0 +1 @@ +Dit is een test op basis van de resultaten van de conversie van een tekstbestand naar een audioboek. \ No newline at end of file diff --git a/ebooks/tests/test_nya.azw3 b/ebooks/tests/test_nya.azw3 new file mode 100644 index 0000000..9fc6538 Binary files /dev/null and b/ebooks/tests/test_nya.azw3 differ diff --git a/ebooks/tests/test_nya.txt b/ebooks/tests/test_nya.txt new file mode 100644 index 0000000..5397ebb --- /dev/null +++ b/ebooks/tests/test_nya.txt @@ -0,0 +1 @@ +Uku ndi kuyesa kuchokera pazotsatira za fayilo yamawu kukhala kutembenuka kwa audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_orm.azw3 b/ebooks/tests/test_orm.azw3 new file mode 100644 index 0000000..7f53b3a Binary files /dev/null and b/ebooks/tests/test_orm.azw3 differ diff --git a/ebooks/tests/test_orm.txt b/ebooks/tests/test_orm.txt new file mode 100644 index 0000000..85bcbc5 --- /dev/null +++ b/ebooks/tests/test_orm.txt @@ -0,0 +1 @@ +Kun qormaata bu'aa faayilii barruu irraa gara jijjiirraa kitaaba sagaleeti. \ No newline at end of file diff --git a/ebooks/tests/test_pan.azw3 b/ebooks/tests/test_pan.azw3 new file mode 100644 index 0000000..439fe92 Binary files /dev/null and b/ebooks/tests/test_pan.azw3 differ diff --git a/ebooks/tests/test_pan.txt b/ebooks/tests/test_pan.txt new file mode 100644 index 0000000..cee208a --- /dev/null +++ b/ebooks/tests/test_pan.txt @@ -0,0 +1 @@ +ਇਹ ਟੈਕਸਟ ਫਾਈਲ ਦੇ ਨਤੀਜੇ ਤੋਂ ਆਡੀਓਬੁੱਕ ਪਰਿਵਰਤਨ ਲਈ ਇੱਕ ਟੈਸਟ ਹੈ। \ No newline at end of file diff --git a/ebooks/tests/test_pol.azw3 b/ebooks/tests/test_pol.azw3 new file mode 100644 index 0000000..e26aa87 Binary files /dev/null and b/ebooks/tests/test_pol.azw3 differ diff --git a/ebooks/tests/test_pol.txt b/ebooks/tests/test_pol.txt new file mode 100644 index 0000000..3ee5248 --- /dev/null +++ b/ebooks/tests/test_pol.txt @@ -0,0 +1 @@ +To jest test wyników konwersji pliku tekstowego na audiobooka. \ No newline at end of file diff --git a/ebooks/tests/test_por.azw3 b/ebooks/tests/test_por.azw3 new file mode 100644 index 0000000..08a3c35 Binary files /dev/null and b/ebooks/tests/test_por.azw3 differ diff --git a/ebooks/tests/test_por.txt b/ebooks/tests/test_por.txt new file mode 100644 index 0000000..7ab8c01 --- /dev/null +++ b/ebooks/tests/test_por.txt @@ -0,0 +1 @@ +Este é um teste do resultado da conversão de arquivo de texto em audiolivro. \ No newline at end of file diff --git a/ebooks/tests/test_ron.azw3 b/ebooks/tests/test_ron.azw3 new file mode 100644 index 0000000..f7ed755 Binary files /dev/null and b/ebooks/tests/test_ron.azw3 differ diff --git a/ebooks/tests/test_ron.txt b/ebooks/tests/test_ron.txt new file mode 100644 index 0000000..189611a --- /dev/null +++ b/ebooks/tests/test_ron.txt @@ -0,0 +1 @@ +Acesta este un test de la rezultatul conversiei fișierului text la cartea audio. \ No newline at end of file diff --git a/ebooks/tests/test_rus.azw3 b/ebooks/tests/test_rus.azw3 new file mode 100644 index 0000000..1c3d321 Binary files /dev/null and b/ebooks/tests/test_rus.azw3 differ diff --git a/ebooks/tests/test_rus.txt b/ebooks/tests/test_rus.txt new file mode 100644 index 0000000..6b01c51 --- /dev/null +++ b/ebooks/tests/test_rus.txt @@ -0,0 +1 @@ +Это тест результата конвертации текстового файла в аудиокнигу. \ No newline at end of file diff --git a/ebooks/tests/test_smo.azw3 b/ebooks/tests/test_smo.azw3 new file mode 100644 index 0000000..95d0c55 Binary files /dev/null and b/ebooks/tests/test_smo.azw3 differ diff --git a/ebooks/tests/test_smo.txt b/ebooks/tests/test_smo.txt new file mode 100644 index 0000000..6b62020 --- /dev/null +++ b/ebooks/tests/test_smo.txt @@ -0,0 +1 @@ +Ole su'ega lea mai le fa'ai'uga ole faila faila ile liliuina o tusi fa'alogo. \ No newline at end of file diff --git a/ebooks/tests/test_sna.azw3 b/ebooks/tests/test_sna.azw3 new file mode 100644 index 0000000..09f2a48 Binary files /dev/null and b/ebooks/tests/test_sna.azw3 differ diff --git a/ebooks/tests/test_sna.txt b/ebooks/tests/test_sna.txt new file mode 100644 index 0000000..a9b1c3f --- /dev/null +++ b/ebooks/tests/test_sna.txt @@ -0,0 +1 @@ +Uyu muyedzo kubva pamhedzisiro yemavara faira kuenda kuaudiobook shanduko. \ No newline at end of file diff --git a/ebooks/tests/test_som.azw3 b/ebooks/tests/test_som.azw3 new file mode 100644 index 0000000..5698bdb Binary files /dev/null and b/ebooks/tests/test_som.azw3 differ diff --git a/ebooks/tests/test_som.txt b/ebooks/tests/test_som.txt new file mode 100644 index 0000000..b4c2160 --- /dev/null +++ b/ebooks/tests/test_som.txt @@ -0,0 +1 @@ +Kani waa imtixaan ka yimid natiijada faylka qoraalka oo loo beddelay buug maqal ah. \ No newline at end of file diff --git a/ebooks/tests/test_spa.azw3 b/ebooks/tests/test_spa.azw3 new file mode 100644 index 0000000..5b8278a Binary files /dev/null and b/ebooks/tests/test_spa.azw3 differ diff --git a/ebooks/tests/test_spa.txt b/ebooks/tests/test_spa.txt new file mode 100644 index 0000000..480387c --- /dev/null +++ b/ebooks/tests/test_spa.txt @@ -0,0 +1 @@ +Esta es una prueba del resultado de la conversión de un archivo de texto a un audiolibro. \ No newline at end of file diff --git a/ebooks/tests/test_sqi.azw3 b/ebooks/tests/test_sqi.azw3 new file mode 100644 index 0000000..f474082 Binary files /dev/null and b/ebooks/tests/test_sqi.azw3 differ diff --git a/ebooks/tests/test_sqi.txt b/ebooks/tests/test_sqi.txt new file mode 100644 index 0000000..ea9fcf0 --- /dev/null +++ b/ebooks/tests/test_sqi.txt @@ -0,0 +1 @@ +Ky është një test nga rezultati i konvertimit të skedarit tekst në libër audio. \ No newline at end of file diff --git a/ebooks/tests/test_sun.azw3 b/ebooks/tests/test_sun.azw3 new file mode 100644 index 0000000..f4a0f2c Binary files /dev/null and b/ebooks/tests/test_sun.azw3 differ diff --git a/ebooks/tests/test_sun.txt b/ebooks/tests/test_sun.txt new file mode 100644 index 0000000..6daca20 --- /dev/null +++ b/ebooks/tests/test_sun.txt @@ -0,0 +1 @@ +Ieu mangrupikeun tés tina hasil tina file téks kana konvérsi buku audio. \ No newline at end of file diff --git a/ebooks/tests/test_swe.azw3 b/ebooks/tests/test_swe.azw3 new file mode 100644 index 0000000..c6899af Binary files /dev/null and b/ebooks/tests/test_swe.azw3 differ diff --git a/ebooks/tests/test_swe.txt b/ebooks/tests/test_swe.txt new file mode 100644 index 0000000..2ca3777 --- /dev/null +++ b/ebooks/tests/test_swe.txt @@ -0,0 +1 @@ +Detta är ett test från resultatet av konvertering av textfil till ljudbok. \ No newline at end of file diff --git a/ebooks/tests/test_tam.azw3 b/ebooks/tests/test_tam.azw3 new file mode 100644 index 0000000..910f668 Binary files /dev/null and b/ebooks/tests/test_tam.azw3 differ diff --git a/ebooks/tests/test_tam.txt b/ebooks/tests/test_tam.txt new file mode 100644 index 0000000..ea5692b --- /dev/null +++ b/ebooks/tests/test_tam.txt @@ -0,0 +1 @@ +இது உரை கோப்பின் விளைவாக ஆடியோபுக் மாற்றத்திற்கான சோதனை. \ No newline at end of file diff --git a/ebooks/tests/test_tat.azw3 b/ebooks/tests/test_tat.azw3 new file mode 100644 index 0000000..1f31f3b Binary files /dev/null and b/ebooks/tests/test_tat.azw3 differ diff --git a/ebooks/tests/test_tat.txt b/ebooks/tests/test_tat.txt new file mode 100644 index 0000000..e8b02f2 --- /dev/null +++ b/ebooks/tests/test_tat.txt @@ -0,0 +1 @@ +Бу текст файллары нәтиҗәләреннән аудиокитап конверсиясенә кадәр сынау. \ No newline at end of file diff --git a/ebooks/tests/test_tel.azw3 b/ebooks/tests/test_tel.azw3 new file mode 100644 index 0000000..08a6919 Binary files /dev/null and b/ebooks/tests/test_tel.azw3 differ diff --git a/ebooks/tests/test_tel.txt b/ebooks/tests/test_tel.txt new file mode 100644 index 0000000..3b17581 --- /dev/null +++ b/ebooks/tests/test_tel.txt @@ -0,0 +1 @@ +టెక్స్ట్ ఫైల్ నుండి ఆడియోబుక్ మార్పిడికి ఇది ఒక పరీక్ష. \ No newline at end of file diff --git a/ebooks/tests/test_tgk.azw3 b/ebooks/tests/test_tgk.azw3 new file mode 100644 index 0000000..5dbabb2 Binary files /dev/null and b/ebooks/tests/test_tgk.azw3 differ diff --git a/ebooks/tests/test_tgk.txt b/ebooks/tests/test_tgk.txt new file mode 100644 index 0000000..3fe98d6 --- /dev/null +++ b/ebooks/tests/test_tgk.txt @@ -0,0 +1 @@ +Ин санҷиш аз натиҷаи файли матнӣ ба табдили китобҳои аудиоӣ мебошад. \ No newline at end of file diff --git a/ebooks/tests/test_tgl.azw3 b/ebooks/tests/test_tgl.azw3 new file mode 100644 index 0000000..d2256e6 Binary files /dev/null and b/ebooks/tests/test_tgl.azw3 differ diff --git a/ebooks/tests/test_tgl.txt b/ebooks/tests/test_tgl.txt new file mode 100644 index 0000000..b48e611 --- /dev/null +++ b/ebooks/tests/test_tgl.txt @@ -0,0 +1 @@ +Ito ay isang pagsubok mula sa resulta ng text file sa conversion ng audiobook. \ No newline at end of file diff --git a/ebooks/tests/test_tha.azw3 b/ebooks/tests/test_tha.azw3 new file mode 100644 index 0000000..1aee17e Binary files /dev/null and b/ebooks/tests/test_tha.azw3 differ diff --git a/ebooks/tests/test_tha.txt b/ebooks/tests/test_tha.txt new file mode 100644 index 0000000..c7be932 --- /dev/null +++ b/ebooks/tests/test_tha.txt @@ -0,0 +1 @@ +นี่คือการทดสอบจากผลลัพธ์ของการแปลงไฟล์ข้อความเป็นหนังสือเสียง \ No newline at end of file diff --git a/ebooks/tests/test_tir.azw3 b/ebooks/tests/test_tir.azw3 new file mode 100644 index 0000000..584fbaa Binary files /dev/null and b/ebooks/tests/test_tir.azw3 differ diff --git a/ebooks/tests/test_tir.txt b/ebooks/tests/test_tir.txt new file mode 100644 index 0000000..64e20f2 --- /dev/null +++ b/ebooks/tests/test_tir.txt @@ -0,0 +1 @@ +እዚ ካብ ውጽኢት ናይ ጽሑፍ ፋይል ናብ ድምጺ መጽሓፍ ምቕያር ዝግበር ፈተና እዩ። \ No newline at end of file diff --git a/ebooks/tests/test_tso.azw3 b/ebooks/tests/test_tso.azw3 new file mode 100644 index 0000000..9a4f442 Binary files /dev/null and b/ebooks/tests/test_tso.azw3 differ diff --git a/ebooks/tests/test_tso.txt b/ebooks/tests/test_tso.txt new file mode 100644 index 0000000..36d8f39 --- /dev/null +++ b/ebooks/tests/test_tso.txt @@ -0,0 +1 @@ +Lexi i xikambelo ku suka eka mbuyelo wa fayili ya tsalwa ku ya eka ku hundzuriwa ka tibuku to yingiseriwa. \ No newline at end of file diff --git a/ebooks/tests/test_tur.azw3 b/ebooks/tests/test_tur.azw3 new file mode 100644 index 0000000..b15db95 Binary files /dev/null and b/ebooks/tests/test_tur.azw3 differ diff --git a/ebooks/tests/test_tur.txt b/ebooks/tests/test_tur.txt new file mode 100644 index 0000000..1bd097c --- /dev/null +++ b/ebooks/tests/test_tur.txt @@ -0,0 +1 @@ +Bu, metin dosyasını sesli kitaba dönüştürme sonucundan alınan bir testtir. \ No newline at end of file diff --git a/ebooks/tests/test_ukr.azw3 b/ebooks/tests/test_ukr.azw3 new file mode 100644 index 0000000..e278d29 Binary files /dev/null and b/ebooks/tests/test_ukr.azw3 differ diff --git a/ebooks/tests/test_ukr.txt b/ebooks/tests/test_ukr.txt new file mode 100644 index 0000000..42767bc --- /dev/null +++ b/ebooks/tests/test_ukr.txt @@ -0,0 +1 @@ +Це перевірка результату перетворення текстового файлу в аудіокнигу. \ No newline at end of file diff --git a/ebooks/tests/test_vie.azw3 b/ebooks/tests/test_vie.azw3 new file mode 100644 index 0000000..ef31346 Binary files /dev/null and b/ebooks/tests/test_vie.azw3 differ diff --git a/ebooks/tests/test_vie.txt b/ebooks/tests/test_vie.txt new file mode 100644 index 0000000..6c9555c --- /dev/null +++ b/ebooks/tests/test_vie.txt @@ -0,0 +1 @@ +Đây là bài kiểm tra kết quả chuyển đổi tệp văn bản thành sách nói. \ No newline at end of file diff --git a/ebooks/tests/test_yor.azw3 b/ebooks/tests/test_yor.azw3 new file mode 100644 index 0000000..1d016da Binary files /dev/null and b/ebooks/tests/test_yor.azw3 differ diff --git a/ebooks/tests/test_yor.txt b/ebooks/tests/test_yor.txt new file mode 100644 index 0000000..186c90d --- /dev/null +++ b/ebooks/tests/test_yor.txt @@ -0,0 +1 @@ +Eyi jẹ idanwo lati abajade ti faili ọrọ si iyipada iwe ohun. \ No newline at end of file diff --git a/ebooks/tests/test_zho.azw3 b/ebooks/tests/test_zho.azw3 new file mode 100644 index 0000000..c42f2ae Binary files /dev/null and b/ebooks/tests/test_zho.azw3 differ diff --git a/ebooks/tests/test_zho.txt b/ebooks/tests/test_zho.txt new file mode 100644 index 0000000..10f0d9a --- /dev/null +++ b/ebooks/tests/test_zho.txt @@ -0,0 +1 @@ +这是从文本文件到有声读物的转换结果进行的测试。 \ No newline at end of file diff --git a/ext/app/un-get.plg b/ext/app/un-get.plg new file mode 100644 index 0000000..1dab5a6 --- /dev/null +++ b/ext/app/un-get.plg @@ -0,0 +1,213 @@ + + + + + + + + + +]> + + + + + +###2024.11.22 +- Merge PR from adapowers 'cleanup(): Multiple match resilience' + +###2024.11.01 +- Merge PR from cloudiful to fix some packages may be skipped on installation and install wrong package instead + +###2024.07.21 +- Change default repo from 15.0 to current for new installations. This is necessary for 7.0.0-beta.1+. If you are on 7.0.0-beta.1+ change your sources list from 15.0 to current + +###2024.04.09 +- Fixed bug where some packages won't install properly if multiple are found in repositories +- Move changelog into separate file +- Read version from changelog + + +###2024.01.04 +- Make sure that repository conraid points to new URL in sources.list + +###2023.11.12 +- Corrections for spelling and grammatical errors in user-visible statements - thank you GitHub user kcpants + +###2023.07.19 +- added '--force'/'-f' option to 'upgrade' to force a update from packages. The option 'un-get upgrade --force' will pull all existing packages again but don't install them in case you change from Slackware 15.0 to current or vice versa. +The new packages will be installed on reboot. ATTENTION: If packages are not found in the new repositories they will be uninstalled immediately after confirming the force upgrade. +- fixed bug in remove_package routine + +###2023.03.26 +- another bugfix for commented line(s) in sources.list + +###2023.03.17 +- fixed bug where packages are not installing correctly if line is commented in sources.list + +###2023.02.02 +- fixed bug for repositories with .sha256 files + +###2022.11.13 +- fixed bug in update routine for commented and empty lines + +###2022.11.10 +- fixed bug in install routine if package is found in multiple sources where the correct version is downloaded but installation fails +- fixed bug in install routine which doesn't always install latest version if package is available in multiple sources +- fixed bug in upgrade routine which doesn't always install latest version if package is available in multiple source + + +###2022.10.27 +- fixed a few typos +- fix for search/install routine when package list doesn't follow the Slackware standard +- minor changes and cleanup to search/install/upgrade routine + +###2022.10.12 +- fixed bug in checksum routine where some packages won't install + +###2022.10.02 +- fixed bug in update routine where some packages won't update properly +- added support link - GitHub + +###2022.09.26 +- fixed bug where some packages would not download/install properly + +###2022.09.25 +- fixed bug where some packages would not install properly +- fixed bug where some packages are not found properly + +###2022.08.27a +- fixed bug in upgrade routine + +###2022.08.27 +- fixed bug where on installation some packages would download the wrong file + +###2022.08.26 +- added cleanup function + +###2022.08.25b +- fixed bug in search where some packages where marked as not qualifying for installation + +###2022.08.25a +- remove duplicate entries for packages which are not qualifying for installation + +###2022.08.25 +- switched over to GitHub Release for plugin packages + +###2022.08.24 +- fixed bug so that un-get pulls always the latest package regardless from which repository + +###2022.08.23c +- changed repo to Slackware 15.0 +- remove old package lists from repositories which are not found in sources.list + +###2022.08.23b +- upgrade function - fixed bug in upgrade package detection + +###2022.08.23a +- upgrade function - fixed upgrade message issue +- changed icon +- added check if installedpackages_list exist + +###2022.08.23 +- search function - made it more clear if packages are already installed that they not qualify for reinstallation through un-get +- install function - throw a real error if package is found which is not qualifying for reinstallation through un-get +- upgrade function - added message when all packages are up-to-date + +###2022.08.22 +- Changed name from pkg-get to un-get - because well unRAID needs un-get +- Changed from Slackware 15 to Current +- Created sources.list file to support multiple repositories +- Added Conraid's repository to sources.list by default +- Changed installation directory to /boot/extra +- Redone download, installation and remove functions +- Added 'installed' option, to list installed packages by un-get +- Added 'changelog' option +- Changed search to show both installed and non installed packages which are availabel in repositories +- Added 'upgrade' function +- Speed up search by a bit +- Clarified remove message when no packages where found +- Fixed bug where packages won't be removed after calling 'remove' function +- Fixed bug where error was displayed if installedpackages_list file where not in place + +###2022.08.20 +- Initial release from pkg-get + + + + + +rm -f $(ls /boot/config/plugins/&name;/&name;*.txz 2>/dev/null|grep -v '&version;') + + + + +&gitURL;/&version;/&name;-&version;.txz +&md5; + + + + +**un-get** + +un-get is a simple command line tool to install/update/remove Slackware packages to unRAID. +Start by opening a Terminal and type in 'un-get --help' + + + + + + +# Create sources list file with the initial repositories +if [ ! -f /boot/config/plugins/un-get/sources.list ]; then + if [ ! -d /boot/config/plugins/un-get ]; then + mkdir -p /boot/config/plugins/un-get + fi + echo "https://mirrors.slackware.com/slackware/slackware64-current/slackware64/ current +https://slackers.it/repository/slackware64-current/ conraid" > /boot/config/plugins/un-get/sources.list +fi + +# Check conraid repo URL and change it if it still points to the old URL +sed -i 's/https:\/\/slack\.conraid\.net\/repository\/slackware64-current\/ conraid/https:\/\/slackers\.it\/repository\/slackware64-current\/ conraid/' /boot/config/plugins/un-get/sources.list + + +# Create packages file +if [ ! -f /boot/config/plugins/un-get/installedpackages_list ]; then + touch /boot/config/plugins/un-get/installedpackages_list +fi + +# Create symlink so that un-get is available system wide +if [ ! -L /usr/bin/un-get ]; then + ln -s /usr/local/emhttp/plugins/un-get/un-get /usr/bin/un-get +fi + + + + + + + +echo "----------------------------------------" +echo "----------Uninstalling un-get-----------" +echo "----------------------------------------" +# Remove plugin related files +removepkg &name;-&version; +while read package; do + echo "Removing package: $package, please wait!" + removepkg $package 2>/dev/null + rm -f /boot/extra/$package 2>/dev/null +done < "/boot/config/plugins/un-get/installedpackages_list" +rm -rf /usr/local/emhttp/plugins/&name; +rm -rf &plugin; +rm -f /usr/bin/un-get 2>/dev/null +rm -rf /tmp/un-get 2>/dev/null +echo +echo "----------------------------------------" +echo "---Uninstallation of un-get complete!---" +echo "----------------------------------------" +echo + + + + \ No newline at end of file diff --git a/ext/py/demucs/Demucs.ipynb b/ext/py/demucs/Demucs.ipynb new file mode 100644 index 0000000..9ebcfd5 --- /dev/null +++ b/ext/py/demucs/Demucs.ipynb @@ -0,0 +1,153 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "Be9yoh-ILfRr" + }, + "source": [ + "# Hybrid Demucs\n", + "\n", + "Feel free to use the Colab version:\n", + "https://colab.research.google.com/drive/1dC9nVxk3V_VPjUADsnFu8EiT-xnU1tGH?usp=sharing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 139 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 12277, + "status": "ok", + "timestamp": 1583778134659, + "user": { + "displayName": "Marllus Lustosa", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgLl2RbW64ZyWz3Y8IBku0zhHCMnt7fz7fEl0LTdA=s64", + "userId": "14811735256675200480" + }, + "user_tz": 180 + }, + "id": "kOjIPLlzhPfn", + "outputId": "c75f17ec-b576-4105-bc5b-c2ac9c1018a3" + }, + "outputs": [], + "source": [ + "!pip install -U demucs\n", + "# or for local development, if you have a clone of Demucs\n", + "# pip install -e ." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "5lYOzKKCKAbJ" + }, + "outputs": [], + "source": [ + "# You can use the `demucs` command line to separate tracks\n", + "!demucs test.mp3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# You can also load directly the pretrained models,\n", + "# for instance for the MDX 2021 winning model of Track A:\n", + "from demucs import pretrained\n", + "model = pretrained.get_model('mdx')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Because `model` is a bag of 4 models, you cannot directly call it on your data,\n", + "# but the `apply_model` will know what to do of it.\n", + "import torch\n", + "from demucs.apply import apply_model\n", + "x = torch.randn(1, 2, 44100 * 10) # ten seconds of white noise for the demo\n", + "out = apply_model(model, x)[0] # shape is [S, C, T] with S the number of sources\n", + "\n", + "# So let see, where is all the white noise content is going ?\n", + "for name, source in zip(model.sources, out):\n", + " print(name, source.std() / x.std())\n", + "# The outputs are quite weird to be fair, not what I would have expected." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# now let's take a single model from the bag, and let's test it on a pure cosine\n", + "freq = 440 # in Hz\n", + "sr = model.samplerate\n", + "t = torch.arange(10 * sr).float() / sr\n", + "x = torch.cos(2 * 3.1416 * freq * t).expand(1, 2, -1)\n", + "sub_model = model.models[3]\n", + "out = sub_model(x)[0]\n", + "\n", + "# Same question where does it go?\n", + "for name, source in zip(model.sources, out):\n", + " print(name, source.std() / x.std())\n", + " \n", + "# Well now it makes much more sense, all the energy is going\n", + "# in the `other` source.\n", + "# Feel free to try lower pitch (try 80 Hz) to see what happens !" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# For training or more fun, refer to the Demucs README on our repo\n", + "# https://github.com/facebookresearch/demucs/tree/main/demucs" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "authorship_tag": "ABX9TyM9xpVr1M86NRcjtQ7g9tCx", + "collapsed_sections": [], + "name": "Demucs.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.8" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/ext/py/demucs/MANIFEST.in b/ext/py/demucs/MANIFEST.in new file mode 100644 index 0000000..96e5f54 --- /dev/null +++ b/ext/py/demucs/MANIFEST.in @@ -0,0 +1,13 @@ +recursive-exclude env * +recursive-include conf *.yaml +include Makefile +include LICENSE +include demucs.png +include outputs.tar.gz +include test.mp3 +include requirements.txt +include requirements_minimal.txt +include mypy.ini +include demucs/py.typed +include demucs/remote/*.txt +include demucs/remote/*.yaml diff --git a/ext/py/demucs/Makefile b/ext/py/demucs/Makefile new file mode 100644 index 0000000..0474d58 --- /dev/null +++ b/ext/py/demucs/Makefile @@ -0,0 +1,36 @@ +all: linter tests + +linter: + flake8 demucs + mypy demucs + +tests: test_train test_eval + +test_train: tests/musdb + _DORA_TEST_PATH=/tmp/demucs python3 -m dora run --clear \ + dset.musdb=./tests/musdb dset.segment=4 dset.shift=2 epochs=2 model=demucs \ + demucs.depth=2 demucs.channels=4 test.sdr=false misc.num_workers=0 test.workers=0 \ + test.shifts=0 + +test_eval: + python3 -m demucs -n demucs_unittest test.mp3 + python3 -m demucs -n demucs_unittest --two-stems=vocals test.mp3 + python3 -m demucs -n demucs_unittest --mp3 test.mp3 + python3 -m demucs -n demucs_unittest --flac --int24 test.mp3 + python3 -m demucs -n demucs_unittest --int24 --clip-mode clamp test.mp3 + python3 -m demucs -n demucs_unittest --segment 8 test.mp3 + python3 -m demucs.api -n demucs_unittest --segment 8 test.mp3 + python3 -m demucs --list-models + +tests/musdb: + test -e tests || mkdir tests + python3 -c 'import musdb; musdb.DB("tests/tmp", download=True)' + musdbconvert tests/tmp tests/musdb + +dist: + python3 setup.py sdist + +clean: + rm -r dist build *.egg-info + +.PHONY: linter dist test_train test_eval diff --git a/ext/py/demucs/build/lib/demucs/__init__.py b/ext/py/demucs/build/lib/demucs/__init__.py new file mode 100644 index 0000000..5945c7d --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/__init__.py @@ -0,0 +1,7 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +__version__ = "4.1.0" diff --git a/ext/py/demucs/build/lib/demucs/__main__.py b/ext/py/demucs/build/lib/demucs/__main__.py new file mode 100644 index 0000000..da0a541 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/__main__.py @@ -0,0 +1,10 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from .separate import main + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/build/lib/demucs/api.py b/ext/py/demucs/build/lib/demucs/api.py new file mode 100644 index 0000000..ee8a512 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/api.py @@ -0,0 +1,393 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""API methods for demucs + +Classes +------- +`demucs.api.Separator`: The base separator class + +Functions +--------- +`demucs.api.save_audio`: Save an audio +`demucs.api.list_models`: Get models list + +Examples +-------- +See the end of this module (if __name__ == "__main__") +""" + +import subprocess + +from . import audio_legacy +import torch as th +import torchaudio as ta + +from dora.log import fatal +from pathlib import Path +from typing import Optional, Callable, Dict, Tuple, Union + +from .apply import apply_model, _replace_dict +from .audio import AudioFile, convert_audio, save_audio +from .pretrained import get_model, _parse_remote_files, REMOTE_ROOT +from .repo import RemoteRepo, LocalRepo, ModelOnlyRepo, BagOnlyRepo + + +class LoadAudioError(Exception): + pass + + +class LoadModelError(Exception): + pass + + +class _NotProvided: + pass + + +NotProvided = _NotProvided() + + +class Separator: + def __init__( + self, + model: str = "htdemucs", + repo: Optional[Path] = None, + device: str = "cuda" if th.cuda.is_available() else "cpu", + shifts: int = 1, + overlap: float = 0.25, + split: bool = True, + segment: Optional[int] = None, + jobs: int = 0, + progress: bool = False, + callback: Optional[Callable[[dict], None]] = None, + callback_arg: Optional[dict] = None, + ): + """ + `class Separator` + ================= + + Parameters + ---------- + model: Pretrained model name or signature. Default is htdemucs. + repo: Folder containing all pre-trained models for use. + segment: Length (in seconds) of each segment (only available if `split` is `True`). If \ + not specified, will use the command line option. + shifts: If > 0, will shift in time `wav` by a random amount between 0 and 0.5 sec and \ + apply the oppositve shift to the output. This is repeated `shifts` time and all \ + predictions are averaged. This effectively makes the model time equivariant and \ + improves SDR by up to 0.2 points. If not specified, will use the command line option. + split: If True, the input will be broken down into small chunks (length set by `segment`) \ + and predictions will be performed individually on each and concatenated. Useful for \ + model with large memory footprint like Tasnet. If not specified, will use the command \ + line option. + overlap: The overlap between the splits. If not specified, will use the command line \ + option. + device (torch.device, str, or None): If provided, device on which to execute the \ + computation, otherwise `wav.device` is assumed. When `device` is different from \ + `wav.device`, only local computations will be on `device`, while the entire tracks \ + will be stored on `wav.device`. If not specified, will use the command line option. + jobs: Number of jobs. This can increase memory usage but will be much faster when \ + multiple cores are available. If not specified, will use the command line option. + callback: A function will be called when the separation of a chunk starts or finished. \ + The argument passed to the function will be a dict. For more information, please see \ + the Callback section. + callback_arg: A dict containing private parameters to be passed to callback function. For \ + more information, please see the Callback section. + progress: If true, show a progress bar. + + Callback + -------- + The function will be called with only one positional parameter whose type is `dict`. The + `callback_arg` will be combined with information of current separation progress. The + progress information will override the values in `callback_arg` if same key has been used. + To abort the separation, raise `KeyboardInterrupt`. + + Progress information contains several keys (These keys will always exist): + - `model_idx_in_bag`: The index of the submodel in `BagOfModels`. Starts from 0. + - `shift_idx`: The index of shifts. Starts from 0. + - `segment_offset`: The offset of current segment. If the number is 441000, it doesn't + mean that it is at the 441000 second of the audio, but the "frame" of the tensor. + - `state`: Could be `"start"` or `"end"`. + - `audio_length`: Length of the audio (in "frame" of the tensor). + - `models`: Count of submodels in the model. + """ + self._name = model + self._repo = repo + self._load_model() + self.update_parameter(device=device, shifts=shifts, overlap=overlap, split=split, + segment=segment, jobs=jobs, progress=progress, callback=callback, + callback_arg=callback_arg) + + def update_parameter( + self, + device: Union[str, _NotProvided] = NotProvided, + shifts: Union[int, _NotProvided] = NotProvided, + overlap: Union[float, _NotProvided] = NotProvided, + split: Union[bool, _NotProvided] = NotProvided, + segment: Optional[Union[int, _NotProvided]] = NotProvided, + jobs: Union[int, _NotProvided] = NotProvided, + progress: Union[bool, _NotProvided] = NotProvided, + callback: Optional[ + Union[Callable[[dict], None], _NotProvided] + ] = NotProvided, + callback_arg: Optional[Union[dict, _NotProvided]] = NotProvided, + ): + """ + Update the parameters of separation. + + Parameters + ---------- + segment: Length (in seconds) of each segment (only available if `split` is `True`). If \ + not specified, will use the command line option. + shifts: If > 0, will shift in time `wav` by a random amount between 0 and 0.5 sec and \ + apply the oppositve shift to the output. This is repeated `shifts` time and all \ + predictions are averaged. This effectively makes the model time equivariant and \ + improves SDR by up to 0.2 points. If not specified, will use the command line option. + split: If True, the input will be broken down into small chunks (length set by `segment`) \ + and predictions will be performed individually on each and concatenated. Useful for \ + model with large memory footprint like Tasnet. If not specified, will use the command \ + line option. + overlap: The overlap between the splits. If not specified, will use the command line \ + option. + device (torch.device, str, or None): If provided, device on which to execute the \ + computation, otherwise `wav.device` is assumed. When `device` is different from \ + `wav.device`, only local computations will be on `device`, while the entire tracks \ + will be stored on `wav.device`. If not specified, will use the command line option. + jobs: Number of jobs. This can increase memory usage but will be much faster when \ + multiple cores are available. If not specified, will use the command line option. + callback: A function will be called when the separation of a chunk starts or finished. \ + The argument passed to the function will be a dict. For more information, please see \ + the Callback section. + callback_arg: A dict containing private parameters to be passed to callback function. For \ + more information, please see the Callback section. + progress: If true, show a progress bar. + + Callback + -------- + The function will be called with only one positional parameter whose type is `dict`. The + `callback_arg` will be combined with information of current separation progress. The + progress information will override the values in `callback_arg` if same key has been used. + To abort the separation, raise `KeyboardInterrupt`. + + Progress information contains several keys (These keys will always exist): + - `model_idx_in_bag`: The index of the submodel in `BagOfModels`. Starts from 0. + - `shift_idx`: The index of shifts. Starts from 0. + - `segment_offset`: The offset of current segment. If the number is 441000, it doesn't + mean that it is at the 441000 second of the audio, but the "frame" of the tensor. + - `state`: Could be `"start"` or `"end"`. + - `audio_length`: Length of the audio (in "frame" of the tensor). + - `models`: Count of submodels in the model. + """ + if not isinstance(device, _NotProvided): + self._device = device + if not isinstance(shifts, _NotProvided): + self._shifts = shifts + if not isinstance(overlap, _NotProvided): + self._overlap = overlap + if not isinstance(split, _NotProvided): + self._split = split + if not isinstance(segment, _NotProvided): + self._segment = segment + if not isinstance(jobs, _NotProvided): + self._jobs = jobs + if not isinstance(progress, _NotProvided): + self._progress = progress + if not isinstance(callback, _NotProvided): + self._callback = callback + if not isinstance(callback_arg, _NotProvided): + self._callback_arg = callback_arg + + def _load_model(self): + self._model = get_model(name=self._name, repo=self._repo) + if self._model is None: + raise LoadModelError("Failed to load model") + self._audio_channels = self._model.audio_channels + self._samplerate = self._model.samplerate + + def _load_audio(self, track: Path): + errors = {} + wav = None + + try: + wav = AudioFile(track).read(streams=0, samplerate=self._samplerate, + channels=self._audio_channels) + except FileNotFoundError: + errors["ffmpeg"] = "FFmpeg is not installed." + except subprocess.CalledProcessError: + errors["ffmpeg"] = "FFmpeg could not read the file." + + if wav is None: + try: + wav, sr = ta.load(str(track)) + except RuntimeError as err: + errors["torchaudio"] = err.args[0] + else: + wav = convert_audio(wav, sr, self._samplerate, self._audio_channels) + + if wav is None: + raise LoadAudioError( + "\n".join( + "When trying to load using {}, got the following error: {}".format( + backend, error + ) + for backend, error in errors.items() + ) + ) + return wav + + def separate_tensor( + self, wav: th.Tensor, sr: Optional[int] = None + ) -> Tuple[th.Tensor, Dict[str, th.Tensor]]: + """ + Separate a loaded tensor. + + Parameters + ---------- + wav: Waveform of the audio. Should have 2 dimensions, the first is each audio channel, \ + while the second is the waveform of each channel. Type should be float32. \ + e.g. `tuple(wav.shape) == (2, 884000)` means the audio has 2 channels. + sr: Sample rate of the original audio, the wave will be resampled if it doesn't match the \ + model. + + Returns + ------- + A tuple, whose first element is the original wave and second element is a dict, whose keys + are the name of stems and values are separated waves. The original wave will have already + been resampled. + + Notes + ----- + Use this function with cautiousness. This function does not provide data verifying. + """ + if sr is not None and sr != self.samplerate: + wav = convert_audio(wav, sr, self._samplerate, self._audio_channels) + ref = wav.mean(0) + wav -= ref.mean() + wav /= ref.std() + 1e-8 + out = apply_model( + self._model, + wav[None], + segment=self._segment, + shifts=self._shifts, + split=self._split, + overlap=self._overlap, + device=self._device, + num_workers=self._jobs, + callback=self._callback, + callback_arg=_replace_dict( + self._callback_arg, ("audio_length", wav.shape[1]) + ), + progress=self._progress, + ) + if out is None: + raise KeyboardInterrupt + out *= ref.std() + 1e-8 + out += ref.mean() + wav *= ref.std() + 1e-8 + wav += ref.mean() + return (wav, dict(zip(self._model.sources, out[0]))) + + def separate_audio_file(self, file: Path): + """ + Separate an audio file. The method will automatically read the file. + + Parameters + ---------- + wav: Path of the file to be separated. + + Returns + ------- + A tuple, whose first element is the original wave and second element is a dict, whose keys + are the name of stems and values are separated waves. The original wave will have already + been resampled. + """ + return self.separate_tensor(self._load_audio(file), self.samplerate) + + @property + def samplerate(self): + return self._samplerate + + @property + def audio_channels(self): + return self._audio_channels + + @property + def model(self): + return self._model + + +def list_models(repo: Optional[Path] = None) -> Dict[str, Dict[str, Union[str, Path]]]: + """ + List the available models. Please remember that not all the returned models can be + successfully loaded. + + Parameters + ---------- + repo: The repo whose models are to be listed. + + Returns + ------- + A dict with two keys ("single" for single models and "bag" for bag of models). The values are + lists whose components are strs. + """ + model_repo: ModelOnlyRepo + if repo is None: + models = _parse_remote_files(REMOTE_ROOT / 'files.txt') + model_repo = RemoteRepo(models) + bag_repo = BagOnlyRepo(REMOTE_ROOT, model_repo) + else: + if not repo.is_dir(): + fatal(f"{repo} must exist and be a directory.") + model_repo = LocalRepo(repo) + bag_repo = BagOnlyRepo(repo, model_repo) + return {"single": model_repo.list_model(), "bag": bag_repo.list_model()} + + +if __name__ == "__main__": + # Test API functions + # two-stem not supported + + from .separate import get_parser + + args = get_parser().parse_args() + separator = Separator( + model=args.name, + repo=args.repo, + device=args.device, + shifts=args.shifts, + overlap=args.overlap, + split=args.split, + segment=args.segment, + jobs=args.jobs, + callback=print + ) + out = args.out / args.name + out.mkdir(parents=True, exist_ok=True) + for file in args.tracks: + separated = separator.separate_audio_file(file)[1] + if args.mp3: + ext = "mp3" + elif args.flac: + ext = "flac" + else: + ext = "wav" + kwargs = { + "samplerate": separator.samplerate, + "bitrate": args.mp3_bitrate, + "clip": args.clip_mode, + "as_float": args.float32, + "bits_per_sample": 24 if args.int24 else 16, + } + for stem, source in separated.items(): + stem = out / args.filename.format( + track=Path(file).name.rsplit(".", 1)[0], + trackext=Path(file).name.rsplit(".", 1)[-1], + stem=stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(source, str(stem), **kwargs) diff --git a/ext/py/demucs/build/lib/demucs/apply.py b/ext/py/demucs/build/lib/demucs/apply.py new file mode 100644 index 0000000..c84993d --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/apply.py @@ -0,0 +1,322 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Code to apply a model to a mix. It will handle chunking with overlaps and +inteprolation between chunks, as well as the "shift trick". +""" +from concurrent.futures import ThreadPoolExecutor +import copy +import random +from threading import Lock +import typing as tp + +import torch as th +from torch import nn +from torch.nn import functional as F +import tqdm + +from .demucs import Demucs +from .hdemucs import HDemucs +from .htdemucs import HTDemucs +from .utils import center_trim, DummyPoolExecutor + +Model = tp.Union[Demucs, HDemucs, HTDemucs] + + +class BagOfModels(nn.Module): + def __init__(self, models: tp.List[Model], + weights: tp.Optional[tp.List[tp.List[float]]] = None, + segment: tp.Optional[float] = None): + """ + Represents a bag of models with specific weights. + You should call `apply_model` rather than calling directly the forward here for + optimal performance. + + Args: + models (list[nn.Module]): list of Demucs/HDemucs models. + weights (list[list[float]]): list of weights. If None, assumed to + be all ones, otherwise it should be a list of N list (N number of models), + each containing S floats (S number of sources). + segment (None or float): overrides the `segment` attribute of each model + (this is performed inplace, be careful is you reuse the models passed). + """ + super().__init__() + assert len(models) > 0 + first = models[0] + for other in models: + assert other.sources == first.sources + assert other.samplerate == first.samplerate + assert other.audio_channels == first.audio_channels + if segment is not None: + if not isinstance(other, HTDemucs) or segment <= other.segment: + other.segment = segment + + self.audio_channels = first.audio_channels + self.samplerate = first.samplerate + self.sources = first.sources + self.models = nn.ModuleList(models) + + if weights is None: + weights = [[1. for _ in first.sources] for _ in models] + else: + assert len(weights) == len(models) + for weight in weights: + assert len(weight) == len(first.sources) + self.weights = weights + + @property + def max_allowed_segment(self) -> float: + max_allowed_segment = float('inf') + for model in self.models: + if isinstance(model, HTDemucs): + max_allowed_segment = min(max_allowed_segment, float(model.segment)) + return max_allowed_segment + + def forward(self, x): + raise NotImplementedError("Call `apply_model` on this.") + + +class TensorChunk: + def __init__(self, tensor, offset=0, length=None): + total_length = tensor.shape[-1] + assert offset >= 0 + assert offset < total_length + + if length is None: + length = total_length - offset + else: + length = min(total_length - offset, length) + + if isinstance(tensor, TensorChunk): + self.tensor = tensor.tensor + self.offset = offset + tensor.offset + else: + self.tensor = tensor + self.offset = offset + self.length = length + self.device = tensor.device + + @property + def shape(self): + shape = list(self.tensor.shape) + shape[-1] = self.length + return shape + + def padded(self, target_length): + delta = target_length - self.length + total_length = self.tensor.shape[-1] + assert delta >= 0 + + start = self.offset - delta // 2 + end = start + target_length + + correct_start = max(0, start) + correct_end = min(total_length, end) + + pad_left = correct_start - start + pad_right = end - correct_end + + out = F.pad(self.tensor[..., correct_start:correct_end], (pad_left, pad_right)) + assert out.shape[-1] == target_length + return out + + +def tensor_chunk(tensor_or_chunk): + if isinstance(tensor_or_chunk, TensorChunk): + return tensor_or_chunk + else: + assert isinstance(tensor_or_chunk, th.Tensor) + return TensorChunk(tensor_or_chunk) + + +def _replace_dict(_dict: tp.Optional[dict], *subs: tp.Tuple[tp.Hashable, tp.Any]) -> dict: + if _dict is None: + _dict = {} + else: + _dict = copy.copy(_dict) + for key, value in subs: + _dict[key] = value + return _dict + + +def apply_model(model: tp.Union[BagOfModels, Model], + mix: tp.Union[th.Tensor, TensorChunk], + shifts: int = 1, split: bool = True, + overlap: float = 0.25, transition_power: float = 1., + progress: bool = False, device=None, + num_workers: int = 0, segment: tp.Optional[float] = None, + pool=None, lock=None, + callback: tp.Optional[tp.Callable[[dict], None]] = None, + callback_arg: tp.Optional[dict] = None) -> th.Tensor: + """ + Apply model to a given mixture. + + Args: + shifts (int): if > 0, will shift in time `mix` by a random amount between 0 and 0.5 sec + and apply the oppositve shift to the output. This is repeated `shifts` time and + all predictions are averaged. This effectively makes the model time equivariant + and improves SDR by up to 0.2 points. + split (bool): if True, the input will be broken down in 8 seconds extracts + and predictions will be performed individually on each and concatenated. + Useful for model with large memory footprint like Tasnet. + progress (bool): if True, show a progress bar (requires split=True) + device (torch.device, str, or None): if provided, device on which to + execute the computation, otherwise `mix.device` is assumed. + When `device` is different from `mix.device`, only local computations will + be on `device`, while the entire tracks will be stored on `mix.device`. + num_workers (int): if non zero, device is 'cpu', how many threads to + use in parallel. + segment (float or None): override the model segment parameter. + """ + if device is None: + device = mix.device + else: + device = th.device(device) + if pool is None: + if num_workers > 0 and device.type == 'cpu': + pool = ThreadPoolExecutor(num_workers) + else: + pool = DummyPoolExecutor() + if lock is None: + lock = Lock() + callback_arg = _replace_dict( + callback_arg, *{"model_idx_in_bag": 0, "shift_idx": 0, "segment_offset": 0}.items() + ) + kwargs: tp.Dict[str, tp.Any] = { + 'shifts': shifts, + 'split': split, + 'overlap': overlap, + 'transition_power': transition_power, + 'progress': progress, + 'device': device, + 'pool': pool, + 'segment': segment, + 'lock': lock, + } + out: tp.Union[float, th.Tensor] + res: tp.Union[float, th.Tensor] + if isinstance(model, BagOfModels): + # Special treatment for bag of model. + # We explicitely apply multiple times `apply_model` so that the random shifts + # are different for each model. + estimates: tp.Union[float, th.Tensor] = 0. + totals = [0.] * len(model.sources) + callback_arg["models"] = len(model.models) + for sub_model, model_weights in zip(model.models, model.weights): + kwargs["callback"] = (( + lambda d, i=callback_arg["model_idx_in_bag"]: callback( + _replace_dict(d, ("model_idx_in_bag", i))) if callback else None) + ) + original_model_device = next(iter(sub_model.parameters())).device + sub_model.to(device) + + res = apply_model(sub_model, mix, **kwargs, callback_arg=callback_arg) + out = res + sub_model.to(original_model_device) + for k, inst_weight in enumerate(model_weights): + out[:, k, :, :] *= inst_weight + totals[k] += inst_weight + estimates += out + del out + callback_arg["model_idx_in_bag"] += 1 + + assert isinstance(estimates, th.Tensor) + for k in range(estimates.shape[1]): + estimates[:, k, :, :] /= totals[k] + return estimates + + if "models" not in callback_arg: + callback_arg["models"] = 1 + model.to(device) + model.eval() + assert transition_power >= 1, "transition_power < 1 leads to weird behavior." + batch, channels, length = mix.shape + if shifts: + kwargs['shifts'] = 0 + max_shift = int(0.5 * model.samplerate) + mix = tensor_chunk(mix) + assert isinstance(mix, TensorChunk) + padded_mix = mix.padded(length + 2 * max_shift) + out = 0. + for shift_idx in range(shifts): + offset = random.randint(0, max_shift) + shifted = TensorChunk(padded_mix, offset, length + max_shift - offset) + kwargs["callback"] = ( + (lambda d, i=shift_idx: callback(_replace_dict(d, ("shift_idx", i))) + if callback else None) + ) + res = apply_model(model, shifted, **kwargs, callback_arg=callback_arg) + shifted_out = res + out += shifted_out[..., max_shift - offset:] + out /= shifts + assert isinstance(out, th.Tensor) + return out + elif split: + kwargs['split'] = False + out = th.zeros(batch, len(model.sources), channels, length, device=mix.device) + sum_weight = th.zeros(length, device=mix.device) + if segment is None: + segment = model.segment + assert segment is not None and segment > 0. + segment_length: int = int(model.samplerate * segment) + stride = int((1 - overlap) * segment_length) + offsets = range(0, length, stride) + scale = float(format(stride / model.samplerate, ".2f")) + # We start from a triangle shaped weight, with maximal weight in the middle + # of the segment. Then we normalize and take to the power `transition_power`. + # Large values of transition power will lead to sharper transitions. + weight = th.cat([th.arange(1, segment_length // 2 + 1, device=device), + th.arange(segment_length - segment_length // 2, 0, -1, device=device)]) + assert len(weight) == segment_length + # If the overlap < 50%, this will translate to linear transition when + # transition_power is 1. + weight = (weight / weight.max())**transition_power + futures = [] + for offset in offsets: + chunk = TensorChunk(mix, offset, segment_length) + future = pool.submit(apply_model, model, chunk, **kwargs, callback_arg=callback_arg, + callback=(lambda d, i=offset: + callback(_replace_dict(d, ("segment_offset", i))) + if callback else None)) + futures.append((future, offset)) + offset += segment_length + if progress: + futures = tqdm.tqdm(futures, unit_scale=scale, ncols=120, unit='seconds') + for future, offset in futures: + try: + chunk_out = future.result() # type: th.Tensor + except Exception: + pool.shutdown(wait=True, cancel_futures=True) + raise + chunk_length = chunk_out.shape[-1] + out[..., offset:offset + segment_length] += ( + weight[:chunk_length] * chunk_out).to(mix.device) + sum_weight[offset:offset + segment_length] += weight[:chunk_length].to(mix.device) + assert sum_weight.min() > 0 + out /= sum_weight + assert isinstance(out, th.Tensor) + return out + else: + valid_length: int + if isinstance(model, HTDemucs) and segment is not None: + valid_length = int(segment * model.samplerate) + elif hasattr(model, 'valid_length'): + valid_length = model.valid_length(length) # type: ignore + else: + valid_length = length + mix = tensor_chunk(mix) + assert isinstance(mix, TensorChunk) + padded_mix = mix.padded(valid_length).to(device) + with lock: + if callback is not None: + callback(_replace_dict(callback_arg, ("state", "start"))) # type: ignore + with th.no_grad(): + out = model(padded_mix) + with lock: + if callback is not None: + callback(_replace_dict(callback_arg, ("state", "end"))) # type: ignore + assert isinstance(out, th.Tensor) + return center_trim(out, length) diff --git a/ext/py/demucs/build/lib/demucs/audio.py b/ext/py/demucs/build/lib/demucs/audio.py new file mode 100644 index 0000000..600bd55 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/audio.py @@ -0,0 +1,266 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +import json +import subprocess as sp +from pathlib import Path + +import lameenc +import julius +import numpy as np +from . import audio_legacy +import torch +import torchaudio as ta +import typing as tp + +from .utils import temp_filenames + + +def _read_info(path): + stdout_data = sp.check_output([ + 'ffprobe', "-loglevel", "panic", + str(path), '-print_format', 'json', '-show_format', '-show_streams' + ]) + return json.loads(stdout_data.decode('utf-8')) + + +class AudioFile: + """ + Allows to read audio from any format supported by ffmpeg, as well as resampling or + converting to mono on the fly. See :method:`read` for more details. + """ + def __init__(self, path: Path): + self.path = Path(path) + self._info = None + + def __repr__(self): + features = [("path", self.path)] + features.append(("samplerate", self.samplerate())) + features.append(("channels", self.channels())) + features.append(("streams", len(self))) + features_str = ", ".join(f"{name}={value}" for name, value in features) + return f"AudioFile({features_str})" + + @property + def info(self): + if self._info is None: + self._info = _read_info(self.path) + return self._info + + @property + def duration(self): + return float(self.info['format']['duration']) + + @property + def _audio_streams(self): + return [ + index for index, stream in enumerate(self.info["streams"]) + if stream["codec_type"] == "audio" + ] + + def __len__(self): + return len(self._audio_streams) + + def channels(self, stream=0): + return int(self.info['streams'][self._audio_streams[stream]]['channels']) + + def samplerate(self, stream=0): + return int(self.info['streams'][self._audio_streams[stream]]['sample_rate']) + + def read(self, + seek_time=None, + duration=None, + streams=slice(None), + samplerate=None, + channels=None): + """ + Slightly more efficient implementation than stempeg, + in particular, this will extract all stems at once + rather than having to loop over one file multiple times + for each stream. + + Args: + seek_time (float): seek time in seconds or None if no seeking is needed. + duration (float): duration in seconds to extract or None to extract until the end. + streams (slice, int or list): streams to extract, can be a single int, a list or + a slice. If it is a slice or list, the output will be of size [S, C, T] + with S the number of streams, C the number of channels and T the number of samples. + If it is an int, the output will be [C, T]. + samplerate (int): if provided, will resample on the fly. If None, no resampling will + be done. Original sampling rate can be obtained with :method:`samplerate`. + channels (int): if 1, will convert to mono. We do not rely on ffmpeg for that + as ffmpeg automatically scale by +3dB to conserve volume when playing on speakers. + See https://sound.stackexchange.com/a/42710. + Our definition of mono is simply the average of the two channels. Any other + value will be ignored. + """ + streams = np.array(range(len(self)))[streams] + single = not isinstance(streams, np.ndarray) + if single: + streams = [streams] + + if duration is None: + target_size = None + query_duration = None + else: + target_size = int((samplerate or self.samplerate()) * duration) + query_duration = float((target_size + 1) / (samplerate or self.samplerate())) + + with temp_filenames(len(streams)) as filenames: + command = ['ffmpeg', '-y'] + command += ['-loglevel', 'panic'] + if seek_time: + command += ['-ss', str(seek_time)] + command += ['-i', str(self.path)] + for stream, filename in zip(streams, filenames): + command += ['-map', f'0:{self._audio_streams[stream]}'] + if query_duration is not None: + command += ['-t', str(query_duration)] + command += ['-threads', '1'] + command += ['-f', 'f32le'] + if samplerate is not None: + command += ['-ar', str(samplerate)] + command += [filename] + + sp.run(command, check=True) + wavs = [] + for filename in filenames: + wav = np.fromfile(filename, dtype=np.float32) + wav = torch.from_numpy(wav) + wav = wav.view(-1, self.channels()).t() + if channels is not None: + wav = convert_audio_channels(wav, channels) + if target_size is not None: + wav = wav[..., :target_size] + wavs.append(wav) + wav = torch.stack(wavs, dim=0) + if single: + wav = wav[0] + return wav + + +def convert_audio_channels(wav, channels=2): + """Convert audio to the given number of channels.""" + *shape, src_channels, length = wav.shape + if src_channels == channels: + pass + elif channels == 1: + # Case 1: + # The caller asked 1-channel audio, but the stream have multiple + # channels, downmix all channels. + wav = wav.mean(dim=-2, keepdim=True) + elif src_channels == 1: + # Case 2: + # The caller asked for multiple channels, but the input file have + # one single channel, replicate the audio over all channels. + wav = wav.expand(*shape, channels, length) + elif src_channels >= channels: + # Case 3: + # The caller asked for multiple channels, and the input file have + # more channels than requested. In that case return the first channels. + wav = wav[..., :channels, :] + else: + # Case 4: What is a reasonable choice here? + raise ValueError('The audio file has less channels than requested but is not mono.') + return wav + + +def convert_audio(wav, from_samplerate, to_samplerate, channels) -> torch.Tensor: + """Convert audio from a given samplerate to a target one and target number of channels.""" + wav = convert_audio_channels(wav, channels) + return julius.resample_frac(wav, from_samplerate, to_samplerate) + + +def i16_pcm(wav): + """Convert audio to 16 bits integer PCM format.""" + if wav.dtype.is_floating_point: + return (wav.clamp_(-1, 1) * (2**15 - 1)).short() + else: + return wav + + +def f32_pcm(wav): + """Convert audio to float 32 bits PCM format.""" + if wav.dtype.is_floating_point: + return wav + else: + return wav.float() / (2**15 - 1) + + +def as_dtype_pcm(wav, dtype): + """Convert audio to either f32 pcm or i16 pcm depending on the given dtype.""" + if wav.dtype.is_floating_point: + return f32_pcm(wav) + else: + return i16_pcm(wav) + + +def encode_mp3(wav, path, samplerate=44100, bitrate=320, quality=2, verbose=False): + """Save given audio as mp3. This should work on all OSes.""" + C, T = wav.shape + wav = i16_pcm(wav) + encoder = lameenc.Encoder() + encoder.set_bit_rate(bitrate) + encoder.set_in_sample_rate(samplerate) + encoder.set_channels(C) + encoder.set_quality(quality) # 2-highest, 7-fastest + if not verbose: + encoder.silence() + wav = wav.data.cpu() + wav = wav.transpose(0, 1).numpy() + mp3_data = encoder.encode(wav.tobytes()) + mp3_data += encoder.flush() + with open(path, "wb") as f: + f.write(mp3_data) + + +def prevent_clip(wav, mode='rescale'): + """ + different strategies for avoiding raw clipping. + """ + if mode is None or mode == 'none': + return wav + assert wav.dtype.is_floating_point, "too late for clipping" + if mode == 'rescale': + wav = wav / max(1.01 * wav.abs().max(), 1) + elif mode == 'clamp': + wav = wav.clamp(-0.99, 0.99) + elif mode == 'tanh': + wav = torch.tanh(wav) + else: + raise ValueError(f"Invalid mode {mode}") + return wav + + +def save_audio(wav: torch.Tensor, + path: tp.Union[str, Path], + samplerate: int, + bitrate: int = 320, + clip: tp.Literal["rescale", "clamp", "tanh", "none"] = 'rescale', + bits_per_sample: tp.Literal[16, 24, 32] = 16, + as_float: bool = False, + preset: tp.Literal[2, 3, 4, 5, 6, 7] = 2): + """Save audio file, automatically preventing clipping if necessary + based on the given `clip` strategy. If the path ends in `.mp3`, this + will save as mp3 with the given `bitrate`. Use `preset` to set mp3 quality: + 2 for highest quality, 7 for fastest speed + """ + wav = prevent_clip(wav, mode=clip) + path = Path(path) + suffix = path.suffix.lower() + if suffix == ".mp3": + encode_mp3(wav, path, samplerate, bitrate, preset, verbose=True) + elif suffix == ".wav": + if as_float: + bits_per_sample = 32 + encoding = 'PCM_F' + else: + encoding = 'PCM_S' + ta.save(str(path), wav, sample_rate=samplerate, + encoding=encoding, bits_per_sample=bits_per_sample) + elif suffix == ".flac": + ta.save(str(path), wav, sample_rate=samplerate, bits_per_sample=bits_per_sample) + else: + raise ValueError(f"Invalid suffix for path: {suffix}") diff --git a/ext/py/demucs/build/lib/demucs/audio_legacy.py b/ext/py/demucs/build/lib/demucs/audio_legacy.py new file mode 100644 index 0000000..ab6bdce --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/audio_legacy.py @@ -0,0 +1,17 @@ +# This file is to extend support for torchaudio 2.1 + +import importlib +import os +import sys +import warnings + +if not "torchaudio" in sys.modules: + os.environ["TORCHAUDIO_USE_BACKEND_DISPATCHER"] = "0" +elif os.getenv("TORCHAUDIO_USE_BACKEND_DISPATCHER", default="1") == "1": + if sys.modules["torchaudio"].__version__ >= "2.1": + os.environ["TORCHAUDIO_USE_BACKEND_DISPATCHER"] = "0" + importlib.reload(sys.modules["torchaudio"]) + warnings.warn( + "TORCHAUDIO_USE_BACKEND_DISPATCHER is set to 0 and torchaudio is reloaded.", + ImportWarning, + ) diff --git a/ext/py/demucs/build/lib/demucs/augment.py b/ext/py/demucs/build/lib/demucs/augment.py new file mode 100644 index 0000000..6dab7f1 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/augment.py @@ -0,0 +1,111 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Data augmentations. +""" + +import random +import torch as th +from torch import nn + + +class Shift(nn.Module): + """ + Randomly shift audio in time by up to `shift` samples. + """ + def __init__(self, shift=8192, same=False): + super().__init__() + self.shift = shift + self.same = same + + def forward(self, wav): + batch, sources, channels, time = wav.size() + length = time - self.shift + if self.shift > 0: + if not self.training: + wav = wav[..., :length] + else: + srcs = 1 if self.same else sources + offsets = th.randint(self.shift, [batch, srcs, 1, 1], device=wav.device) + offsets = offsets.expand(-1, sources, channels, -1) + indexes = th.arange(length, device=wav.device) + wav = wav.gather(3, indexes + offsets) + return wav + + +class FlipChannels(nn.Module): + """ + Flip left-right channels. + """ + def forward(self, wav): + batch, sources, channels, time = wav.size() + if self.training and wav.size(2) == 2: + left = th.randint(2, (batch, sources, 1, 1), device=wav.device) + left = left.expand(-1, -1, -1, time) + right = 1 - left + wav = th.cat([wav.gather(2, left), wav.gather(2, right)], dim=2) + return wav + + +class FlipSign(nn.Module): + """ + Random sign flip. + """ + def forward(self, wav): + batch, sources, channels, time = wav.size() + if self.training: + signs = th.randint(2, (batch, sources, 1, 1), device=wav.device, dtype=th.float32) + wav = wav * (2 * signs - 1) + return wav + + +class Remix(nn.Module): + """ + Shuffle sources to make new mixes. + """ + def __init__(self, proba=1, group_size=4): + """ + Shuffle sources within one batch. + Each batch is divided into groups of size `group_size` and shuffling is done within + each group separatly. This allow to keep the same probability distribution no matter + the number of GPUs. Without this grouping, using more GPUs would lead to a higher + probability of keeping two sources from the same track together which can impact + performance. + """ + super().__init__() + self.proba = proba + self.group_size = group_size + + def forward(self, wav): + batch, streams, channels, time = wav.size() + device = wav.device + + if self.training and random.random() < self.proba: + group_size = self.group_size or batch + if batch % group_size != 0: + raise ValueError(f"Batch size {batch} must be divisible by group size {group_size}") + groups = batch // group_size + wav = wav.view(groups, group_size, streams, channels, time) + permutations = th.argsort(th.rand(groups, group_size, streams, 1, 1, device=device), + dim=1) + wav = wav.gather(1, permutations.expand(-1, -1, -1, channels, time)) + wav = wav.view(batch, streams, channels, time) + return wav + + +class Scale(nn.Module): + def __init__(self, proba=1., min=0.25, max=1.25): + super().__init__() + self.proba = proba + self.min = min + self.max = max + + def forward(self, wav): + batch, streams, channels, time = wav.size() + device = wav.device + if self.training and random.random() < self.proba: + scales = th.empty(batch, streams, 1, 1, device=device).uniform_(self.min, self.max) + wav *= scales + return wav diff --git a/ext/py/demucs/build/lib/demucs/demucs.py b/ext/py/demucs/build/lib/demucs/demucs.py new file mode 100644 index 0000000..f6a4305 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/demucs.py @@ -0,0 +1,447 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import math +import typing as tp + +import julius +import torch +from torch import nn +from torch.nn import functional as F + +from .states import capture_init +from .utils import center_trim, unfold +from .transformer import LayerScale + + +class BLSTM(nn.Module): + """ + BiLSTM with same hidden units as input dim. + If `max_steps` is not None, input will be splitting in overlapping + chunks and the LSTM applied separately on each chunk. + """ + def __init__(self, dim, layers=1, max_steps=None, skip=False): + super().__init__() + assert max_steps is None or max_steps % 4 == 0 + self.max_steps = max_steps + self.lstm = nn.LSTM(bidirectional=True, num_layers=layers, hidden_size=dim, input_size=dim) + self.linear = nn.Linear(2 * dim, dim) + self.skip = skip + + def forward(self, x): + B, C, T = x.shape + y = x + framed = False + if self.max_steps is not None and T > self.max_steps: + width = self.max_steps + stride = width // 2 + frames = unfold(x, width, stride) + nframes = frames.shape[2] + framed = True + x = frames.permute(0, 2, 1, 3).reshape(-1, C, width) + + x = x.permute(2, 0, 1) + + x = self.lstm(x)[0] + x = self.linear(x) + x = x.permute(1, 2, 0) + if framed: + out = [] + frames = x.reshape(B, -1, C, width) + limit = stride // 2 + for k in range(nframes): + if k == 0: + out.append(frames[:, k, :, :-limit]) + elif k == nframes - 1: + out.append(frames[:, k, :, limit:]) + else: + out.append(frames[:, k, :, limit:-limit]) + out = torch.cat(out, -1) + out = out[..., :T] + x = out + if self.skip: + x = x + y + return x + + +def rescale_conv(conv, reference): + """Rescale initial weight scale. It is unclear why it helps but it certainly does. + """ + std = conv.weight.std().detach() + scale = (std / reference)**0.5 + conv.weight.data /= scale + if conv.bias is not None: + conv.bias.data /= scale + + +def rescale_module(module, reference): + for sub in module.modules(): + if isinstance(sub, (nn.Conv1d, nn.ConvTranspose1d, nn.Conv2d, nn.ConvTranspose2d)): + rescale_conv(sub, reference) + + +class DConv(nn.Module): + """ + New residual branches in each encoder layer. + This alternates dilated convolutions, potentially with LSTMs and attention. + Also before entering each residual branch, dimension is projected on a smaller subspace, + e.g. of dim `channels // compress`. + """ + def __init__(self, channels: int, compress: float = 4, depth: int = 2, init: float = 1e-4, + norm=True, attn=False, heads=4, ndecay=4, lstm=False, gelu=True, + kernel=3, dilate=True): + """ + Args: + channels: input/output channels for residual branch. + compress: amount of channel compression inside the branch. + depth: number of layers in the residual branch. Each layer has its own + projection, and potentially LSTM and attention. + init: initial scale for LayerNorm. + norm: use GroupNorm. + attn: use LocalAttention. + heads: number of heads for the LocalAttention. + ndecay: number of decay controls in the LocalAttention. + lstm: use LSTM. + gelu: Use GELU activation. + kernel: kernel size for the (dilated) convolutions. + dilate: if true, use dilation, increasing with the depth. + """ + + super().__init__() + assert kernel % 2 == 1 + self.channels = channels + self.compress = compress + self.depth = abs(depth) + dilate = depth > 0 + + norm_fn: tp.Callable[[int], nn.Module] + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(1, d) # noqa + + hidden = int(channels / compress) + + act: tp.Type[nn.Module] + if gelu: + act = nn.GELU + else: + act = nn.ReLU + + self.layers = nn.ModuleList([]) + for d in range(self.depth): + dilation = 2 ** d if dilate else 1 + padding = dilation * (kernel // 2) + mods = [ + nn.Conv1d(channels, hidden, kernel, dilation=dilation, padding=padding), + norm_fn(hidden), act(), + nn.Conv1d(hidden, 2 * channels, 1), + norm_fn(2 * channels), nn.GLU(1), + LayerScale(channels, init), + ] + if attn: + mods.insert(3, LocalState(hidden, heads=heads, ndecay=ndecay)) + if lstm: + mods.insert(3, BLSTM(hidden, layers=2, max_steps=200, skip=True)) + layer = nn.Sequential(*mods) + self.layers.append(layer) + + def forward(self, x): + for layer in self.layers: + x = x + layer(x) + return x + + +class LocalState(nn.Module): + """Local state allows to have attention based only on data (no positional embedding), + but while setting a constraint on the time window (e.g. decaying penalty term). + + Also a failed experiments with trying to provide some frequency based attention. + """ + def __init__(self, channels: int, heads: int = 4, nfreqs: int = 0, ndecay: int = 4): + super().__init__() + assert channels % heads == 0, (channels, heads) + self.heads = heads + self.nfreqs = nfreqs + self.ndecay = ndecay + self.content = nn.Conv1d(channels, channels, 1) + self.query = nn.Conv1d(channels, channels, 1) + self.key = nn.Conv1d(channels, channels, 1) + if nfreqs: + self.query_freqs = nn.Conv1d(channels, heads * nfreqs, 1) + if ndecay: + self.query_decay = nn.Conv1d(channels, heads * ndecay, 1) + # Initialize decay close to zero (there is a sigmoid), for maximum initial window. + self.query_decay.weight.data *= 0.01 + assert self.query_decay.bias is not None # stupid type checker + self.query_decay.bias.data[:] = -2 + self.proj = nn.Conv1d(channels + heads * nfreqs, channels, 1) + + def forward(self, x): + B, C, T = x.shape + heads = self.heads + indexes = torch.arange(T, device=x.device, dtype=x.dtype) + # left index are keys, right index are queries + delta = indexes[:, None] - indexes[None, :] + + queries = self.query(x).view(B, heads, -1, T) + keys = self.key(x).view(B, heads, -1, T) + # t are keys, s are queries + dots = torch.einsum("bhct,bhcs->bhts", keys, queries) + dots /= keys.shape[2]**0.5 + if self.nfreqs: + periods = torch.arange(1, self.nfreqs + 1, device=x.device, dtype=x.dtype) + freq_kernel = torch.cos(2 * math.pi * delta / periods.view(-1, 1, 1)) + freq_q = self.query_freqs(x).view(B, heads, -1, T) / self.nfreqs ** 0.5 + dots += torch.einsum("fts,bhfs->bhts", freq_kernel, freq_q) + if self.ndecay: + decays = torch.arange(1, self.ndecay + 1, device=x.device, dtype=x.dtype) + decay_q = self.query_decay(x).view(B, heads, -1, T) + decay_q = torch.sigmoid(decay_q) / 2 + decay_kernel = - decays.view(-1, 1, 1) * delta.abs() / self.ndecay**0.5 + dots += torch.einsum("fts,bhfs->bhts", decay_kernel, decay_q) + + # Kill self reference. + dots.masked_fill_(torch.eye(T, device=dots.device, dtype=torch.bool), -100) + weights = torch.softmax(dots, dim=2) + + content = self.content(x).view(B, heads, -1, T) + result = torch.einsum("bhts,bhct->bhcs", weights, content) + if self.nfreqs: + time_sig = torch.einsum("bhts,fts->bhfs", weights, freq_kernel) + result = torch.cat([result, time_sig], 2) + result = result.reshape(B, -1, T) + return x + self.proj(result) + + +class Demucs(nn.Module): + @capture_init + def __init__(self, + sources, + # Channels + audio_channels=2, + channels=64, + growth=2., + # Main structure + depth=6, + rewrite=True, + lstm_layers=0, + # Convolutions + kernel_size=8, + stride=4, + context=1, + # Activations + gelu=True, + glu=True, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=4, + dconv_attn=4, + dconv_lstm=4, + dconv_init=1e-4, + # Pre/post processing + normalize=True, + resample=True, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=4 * 10): + """ + Args: + sources (list[str]): list of source names + audio_channels (int): stereo or mono + channels (int): first convolution channels + depth (int): number of encoder/decoder layers + growth (float): multiply (resp divide) number of channels by that + for each layer of the encoder (resp decoder) + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + lstm_layers (int): number of lstm layers, 0 = no lstm. Deactivated + by default, as this is now replaced by the smaller and faster small LSTMs + in the DConv branches. + kernel_size (int): kernel size for convolutions + stride (int): stride for convolutions + context (int): kernel size of the convolution in the + decoder before the transposed convolution. If > 1, + will provide some context from neighboring time steps. + gelu: use GELU activation function. + glu (bool): use glu instead of ReLU for the 1x1 rewrite conv. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + normalize (bool): normalizes the input audio on the fly, and scales back + the output by the same amount. + resample (bool): upsample x2 the input and downsample /2 the output. + rescale (float): rescale initial weights of convolutions + to get their standard deviation closer to `rescale`. + samplerate (int): stored as meta information for easing + future evaluations of the model. + segment (float): duration of the chunks of audio to ideally evaluate the model on. + This is used by `demucs.apply.apply_model`. + """ + + super().__init__() + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.resample = resample + self.channels = channels + self.normalize = normalize + self.samplerate = samplerate + self.segment = segment + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + self.skip_scales = nn.ModuleList() + + if glu: + activation = nn.GLU(dim=1) + ch_scale = 2 + else: + activation = nn.ReLU() + ch_scale = 1 + if gelu: + act2 = nn.GELU + else: + act2 = nn.ReLU + + in_channels = audio_channels + padding = 0 + for index in range(depth): + norm_fn = lambda d: nn.Identity() # noqa + if index >= norm_starts: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + + encode = [] + encode += [ + nn.Conv1d(in_channels, channels, kernel_size, stride), + norm_fn(channels), + act2(), + ] + attn = index >= dconv_attn + lstm = index >= dconv_lstm + if dconv_mode & 1: + encode += [DConv(channels, depth=dconv_depth, init=dconv_init, + compress=dconv_comp, attn=attn, lstm=lstm)] + if rewrite: + encode += [ + nn.Conv1d(channels, ch_scale * channels, 1), + norm_fn(ch_scale * channels), activation] + self.encoder.append(nn.Sequential(*encode)) + + decode = [] + if index > 0: + out_channels = in_channels + else: + out_channels = len(self.sources) * audio_channels + if rewrite: + decode += [ + nn.Conv1d(channels, ch_scale * channels, 2 * context + 1, padding=context), + norm_fn(ch_scale * channels), activation] + if dconv_mode & 2: + decode += [DConv(channels, depth=dconv_depth, init=dconv_init, + compress=dconv_comp, attn=attn, lstm=lstm)] + decode += [nn.ConvTranspose1d(channels, out_channels, + kernel_size, stride, padding=padding)] + if index > 0: + decode += [norm_fn(out_channels), act2()] + self.decoder.insert(0, nn.Sequential(*decode)) + in_channels = channels + channels = int(growth * channels) + + channels = in_channels + if lstm_layers: + self.lstm = BLSTM(channels, lstm_layers) + else: + self.lstm = None + + if rescale: + rescale_module(self, reference=rescale) + + def valid_length(self, length): + """ + Return the nearest valid length to use with the model so that + there is no time steps left over in a convolution, e.g. for all + layers, size of the input - kernel_size % stride = 0. + + Note that input are automatically padded if necessary to ensure that the output + has the same length as the input. + """ + if self.resample: + length *= 2 + + for _ in range(self.depth): + length = math.ceil((length - self.kernel_size) / self.stride) + 1 + length = max(1, length) + + for idx in range(self.depth): + length = (length - 1) * self.stride + self.kernel_size + + if self.resample: + length = math.ceil(length / 2) + return int(length) + + def forward(self, mix): + x = mix + length = x.shape[-1] + + if self.normalize: + mono = mix.mean(dim=1, keepdim=True) + mean = mono.mean(dim=-1, keepdim=True) + std = mono.std(dim=-1, keepdim=True) + x = (x - mean) / (1e-5 + std) + else: + mean = 0 + std = 1 + + delta = self.valid_length(length) - length + x = F.pad(x, (delta // 2, delta - delta // 2)) + + if self.resample: + x = julius.resample_frac(x, 1, 2) + + saved = [] + for encode in self.encoder: + x = encode(x) + saved.append(x) + + if self.lstm: + x = self.lstm(x) + + for decode in self.decoder: + skip = saved.pop(-1) + skip = center_trim(skip, x) + x = decode(x + skip) + + if self.resample: + x = julius.resample_frac(x, 2, 1) + x = x * std + mean + x = center_trim(x, length) + x = x.view(x.size(0), len(self.sources), self.audio_channels, x.size(-1)) + return x + + def load_state_dict(self, state, strict=True): + # fix a mismatch with previous generation Demucs models. + for idx in range(self.depth): + for a in ['encoder', 'decoder']: + for b in ['bias', 'weight']: + new = f'{a}.{idx}.3.{b}' + old = f'{a}.{idx}.2.{b}' + if old in state and new not in state: + state[new] = state.pop(old) + super().load_state_dict(state, strict=strict) diff --git a/ext/py/demucs/build/lib/demucs/distrib.py b/ext/py/demucs/build/lib/demucs/distrib.py new file mode 100644 index 0000000..dc1576c --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/distrib.py @@ -0,0 +1,100 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Distributed training utilities. +""" +import logging +import pickle + +import numpy as np +import torch +from torch.utils.data.distributed import DistributedSampler +from torch.utils.data import DataLoader, Subset +from torch.nn.parallel.distributed import DistributedDataParallel + +from dora import distrib as dora_distrib + +logger = logging.getLogger(__name__) +rank = 0 +world_size = 1 + + +def init(): + global rank, world_size + if not torch.distributed.is_initialized(): + dora_distrib.init() + rank = dora_distrib.rank() + world_size = dora_distrib.world_size() + + +def average(metrics, count=1.): + if isinstance(metrics, dict): + keys, values = zip(*sorted(metrics.items())) + values = average(values, count) + return dict(zip(keys, values)) + if world_size == 1: + return metrics + tensor = torch.tensor(list(metrics) + [1], device='cuda', dtype=torch.float32) + tensor *= count + torch.distributed.all_reduce(tensor, op=torch.distributed.ReduceOp.SUM) + return (tensor[:-1] / tensor[-1]).cpu().numpy().tolist() + + +def wrap(model): + if world_size == 1: + return model + else: + return DistributedDataParallel( + model, + # find_unused_parameters=True, + device_ids=[torch.cuda.current_device()], + output_device=torch.cuda.current_device()) + + +def barrier(): + if world_size > 1: + torch.distributed.barrier() + + +def share(obj=None, src=0): + if world_size == 1: + return obj + size = torch.empty(1, device='cuda', dtype=torch.long) + if rank == src: + dump = pickle.dumps(obj) + size[0] = len(dump) + torch.distributed.broadcast(size, src=src) + # size variable is now set to the length of pickled obj in all processes + + if rank == src: + buffer = torch.from_numpy(np.frombuffer(dump, dtype=np.uint8).copy()).cuda() + else: + buffer = torch.empty(size[0].item(), device='cuda', dtype=torch.uint8) + torch.distributed.broadcast(buffer, src=src) + # buffer variable is now set to pickled obj in all processes + + if rank != src: + obj = pickle.loads(buffer.cpu().numpy().tobytes()) + logger.debug(f"Shared object of size {len(buffer)}") + return obj + + +def loader(dataset, *args, shuffle=False, klass=DataLoader, **kwargs): + """ + Create a dataloader properly in case of distributed training. + If a gradient is going to be computed you must set `shuffle=True`. + """ + if world_size == 1: + return klass(dataset, *args, shuffle=shuffle, **kwargs) + + if shuffle: + # train means we will compute backward, we use DistributedSampler + sampler = DistributedSampler(dataset) + # We ignore shuffle, DistributedSampler already shuffles + return klass(dataset, *args, **kwargs, sampler=sampler) + else: + # We make a manual shard, as DistributedSampler otherwise replicate some examples + dataset = Subset(dataset, list(range(rank, len(dataset), world_size))) + return klass(dataset, *args, shuffle=shuffle, **kwargs) diff --git a/ext/py/demucs/build/lib/demucs/ema.py b/ext/py/demucs/build/lib/demucs/ema.py new file mode 100644 index 0000000..101bee0 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/ema.py @@ -0,0 +1,66 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# Inspired from https://github.com/rwightman/pytorch-image-models +from contextlib import contextmanager + +import torch + +from .states import swap_state + + +class ModelEMA: + """ + Perform EMA on a model. You can switch to the EMA weights temporarily + with the `swap` method. + + ema = ModelEMA(model) + with ema.swap(): + # compute valid metrics with averaged model. + """ + def __init__(self, model, decay=0.9999, unbias=True, device='cpu'): + self.decay = decay + self.model = model + self.state = {} + self.count = 0 + self.device = device + self.unbias = unbias + + self._init() + + def _init(self): + for key, val in self.model.state_dict().items(): + if val.dtype != torch.float32: + continue + device = self.device or val.device + if key not in self.state: + self.state[key] = val.detach().to(device, copy=True) + + def update(self): + if self.unbias: + self.count = self.count * self.decay + 1 + w = 1 / self.count + else: + w = 1 - self.decay + for key, val in self.model.state_dict().items(): + if val.dtype != torch.float32: + continue + device = self.device or val.device + self.state[key].mul_(1 - w) + self.state[key].add_(val.detach().to(device), alpha=w) + + @contextmanager + def swap(self): + with swap_state(self.model, self.state): + yield + + def state_dict(self): + return {'state': self.state, 'count': self.count} + + def load_state_dict(self, state): + self.count = state['count'] + for k, v in state['state'].items(): + self.state[k].copy_(v) diff --git a/ext/py/demucs/build/lib/demucs/evaluate.py b/ext/py/demucs/build/lib/demucs/evaluate.py new file mode 100644 index 0000000..fa2ff45 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/evaluate.py @@ -0,0 +1,174 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Test time evaluation, either using the original SDR from [Vincent et al. 2006] +or the newest SDR definition from the MDX 2021 competition (this one will +be reported as `nsdr` for `new sdr`). +""" + +from concurrent import futures +import logging + +from dora.log import LogProgress +import numpy as np +import musdb +import museval +import torch as th + +from .apply import apply_model +from .audio import convert_audio, save_audio +from . import distrib +from .utils import DummyPoolExecutor + + +logger = logging.getLogger(__name__) + + +def new_sdr(references, estimates): + """ + Compute the SDR according to the MDX challenge definition. + Adapted from AIcrowd/music-demixing-challenge-starter-kit (MIT license) + """ + assert references.dim() == 4 + assert estimates.dim() == 4 + delta = 1e-7 # avoid numerical errors + num = th.sum(th.square(references), dim=(2, 3)) + den = th.sum(th.square(references - estimates), dim=(2, 3)) + num += delta + den += delta + scores = 10 * th.log10(num / den) + return scores + + +def eval_track(references, estimates, win, hop, compute_sdr=True): + references = references.transpose(1, 2).double() + estimates = estimates.transpose(1, 2).double() + + new_scores = new_sdr(references.cpu()[None], estimates.cpu()[None])[0] + + if not compute_sdr: + return None, new_scores + else: + references = references.numpy() + estimates = estimates.numpy() + scores = museval.metrics.bss_eval( + references, estimates, + compute_permutation=False, + window=win, + hop=hop, + framewise_filters=False, + bsseval_sources_version=False)[:-1] + return scores, new_scores + + +def evaluate(solver, compute_sdr=False): + """ + Evaluate model using museval. + compute_sdr=False means using only the MDX definition of the SDR, which + is much faster to evaluate. + """ + + args = solver.args + + output_dir = solver.folder / "results" + output_dir.mkdir(exist_ok=True, parents=True) + json_folder = solver.folder / "results/test" + json_folder.mkdir(exist_ok=True, parents=True) + + # we load tracks from the original musdb set + if args.test.nonhq is None: + test_set = musdb.DB(args.dset.musdb, subsets=["test"], is_wav=True) + else: + test_set = musdb.DB(args.test.nonhq, subsets=["test"], is_wav=False) + src_rate = args.dset.musdb_samplerate + + eval_device = 'cpu' + + model = solver.model + win = int(1. * model.samplerate) + hop = int(1. * model.samplerate) + + indexes = range(distrib.rank, len(test_set), distrib.world_size) + indexes = LogProgress(logger, indexes, updates=args.misc.num_prints, + name='Eval') + pendings = [] + + pool = futures.ProcessPoolExecutor if args.test.workers else DummyPoolExecutor + with pool(args.test.workers) as pool: + for index in indexes: + track = test_set.tracks[index] + + mix = th.from_numpy(track.audio).t().float() + if mix.dim() == 1: + mix = mix[None] + mix = mix.to(solver.device) + ref = mix.mean(dim=0) # mono mixture + mix = (mix - ref.mean()) / ref.std() + mix = convert_audio(mix, src_rate, model.samplerate, model.audio_channels) + estimates = apply_model(model, mix[None], + shifts=args.test.shifts, split=args.test.split, + overlap=args.test.overlap)[0] + estimates = estimates * ref.std() + ref.mean() + estimates = estimates.to(eval_device) + + references = th.stack( + [th.from_numpy(track.targets[name].audio).t() for name in model.sources]) + if references.dim() == 2: + references = references[:, None] + references = references.to(eval_device) + references = convert_audio(references, src_rate, + model.samplerate, model.audio_channels) + if args.test.save: + folder = solver.folder / "wav" / track.name + folder.mkdir(exist_ok=True, parents=True) + for name, estimate in zip(model.sources, estimates): + save_audio(estimate.cpu(), folder / (name + ".mp3"), model.samplerate) + + pendings.append((track.name, pool.submit( + eval_track, references, estimates, win=win, hop=hop, compute_sdr=compute_sdr))) + + pendings = LogProgress(logger, pendings, updates=args.misc.num_prints, + name='Eval (BSS)') + tracks = {} + for track_name, pending in pendings: + pending = pending.result() + scores, nsdrs = pending + tracks[track_name] = {} + for idx, target in enumerate(model.sources): + tracks[track_name][target] = {'nsdr': [float(nsdrs[idx])]} + if scores is not None: + (sdr, isr, sir, sar) = scores + for idx, target in enumerate(model.sources): + values = { + "SDR": sdr[idx].tolist(), + "SIR": sir[idx].tolist(), + "ISR": isr[idx].tolist(), + "SAR": sar[idx].tolist() + } + tracks[track_name][target].update(values) + + all_tracks = {} + for src in range(distrib.world_size): + all_tracks.update(distrib.share(tracks, src)) + + result = {} + metric_names = next(iter(all_tracks.values()))[model.sources[0]] + for metric_name in metric_names: + avg = 0 + avg_of_medians = 0 + for source in model.sources: + medians = [ + np.nanmedian(all_tracks[track][source][metric_name]) + for track in all_tracks.keys()] + mean = np.mean(medians) + median = np.median(medians) + result[metric_name.lower() + "_" + source] = mean + result[metric_name.lower() + "_med" + "_" + source] = median + avg += mean / len(model.sources) + avg_of_medians += median / len(model.sources) + result[metric_name.lower()] = avg + result[metric_name.lower() + "_med"] = avg_of_medians + return result diff --git a/ext/py/demucs/build/lib/demucs/hdemucs.py b/ext/py/demucs/build/lib/demucs/hdemucs.py new file mode 100644 index 0000000..9992b60 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/hdemucs.py @@ -0,0 +1,796 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +This code contains the spectrogram and Hybrid version of Demucs. +""" +from copy import deepcopy +import math +import typing as tp + +from openunmix.filtering import wiener +import torch +from torch import nn +from torch.nn import functional as F + +from .demucs import DConv, rescale_module +from .states import capture_init +from .spec import spectro, ispectro + + +def pad1d(x: torch.Tensor, paddings: tp.Tuple[int, int], mode: str = 'constant', value: float = 0.): + """Tiny wrapper around F.pad, just to allow for reflect padding on small input. + If this is the case, we insert extra 0 padding to the right before the reflection happen.""" + x0 = x + length = x.shape[-1] + padding_left, padding_right = paddings + if mode == 'reflect': + max_pad = max(padding_left, padding_right) + if length <= max_pad: + extra_pad = max_pad - length + 1 + extra_pad_right = min(padding_right, extra_pad) + extra_pad_left = extra_pad - extra_pad_right + paddings = (padding_left - extra_pad_left, padding_right - extra_pad_right) + x = F.pad(x, (extra_pad_left, extra_pad_right)) + out = F.pad(x, paddings, mode, value) + assert out.shape[-1] == length + padding_left + padding_right + assert (out[..., padding_left: padding_left + length] == x0).all() + return out + + +class ScaledEmbedding(nn.Module): + """ + Boost learning rate for embeddings (with `scale`). + Also, can make embeddings continuous with `smooth`. + """ + def __init__(self, num_embeddings: int, embedding_dim: int, + scale: float = 10., smooth=False): + super().__init__() + self.embedding = nn.Embedding(num_embeddings, embedding_dim) + if smooth: + weight = torch.cumsum(self.embedding.weight.data, dim=0) + # when summing gaussian, overscale raises as sqrt(n), so we nornalize by that. + weight = weight / torch.arange(1, num_embeddings + 1).to(weight).sqrt()[:, None] + self.embedding.weight.data[:] = weight + self.embedding.weight.data /= scale + self.scale = scale + + @property + def weight(self): + return self.embedding.weight * self.scale + + def forward(self, x): + out = self.embedding(x) * self.scale + return out + + +class HEncLayer(nn.Module): + def __init__(self, chin, chout, kernel_size=8, stride=4, norm_groups=1, empty=False, + freq=True, dconv=True, norm=True, context=0, dconv_kw={}, pad=True, + rewrite=True): + """Encoder layer. This used both by the time and the frequency branch. + + Args: + chin: number of input channels. + chout: number of output channels. + norm_groups: number of groups for group norm. + empty: used to make a layer with just the first conv. this is used + before merging the time and freq. branches. + freq: this is acting on frequencies. + dconv: insert DConv residual branches. + norm: use GroupNorm. + context: context size for the 1x1 conv. + dconv_kw: list of kwargs for the DConv class. + pad: pad the input. Padding is done so that the output size is + always the input size / stride. + rewrite: add 1x1 conv at the end of the layer. + """ + super().__init__() + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + if pad: + pad = kernel_size // 4 + else: + pad = 0 + klass = nn.Conv1d + self.freq = freq + self.kernel_size = kernel_size + self.stride = stride + self.empty = empty + self.norm = norm + self.pad = pad + if freq: + kernel_size = [kernel_size, 1] + stride = [stride, 1] + pad = [pad, 0] + klass = nn.Conv2d + self.conv = klass(chin, chout, kernel_size, stride, pad) + if self.empty: + return + self.norm1 = norm_fn(chout) + self.rewrite = None + if rewrite: + self.rewrite = klass(chout, 2 * chout, 1 + 2 * context, 1, context) + self.norm2 = norm_fn(2 * chout) + + self.dconv = None + if dconv: + self.dconv = DConv(chout, **dconv_kw) + + def forward(self, x, inject=None): + """ + `inject` is used to inject the result from the time branch into the frequency branch, + when both have the same stride. + """ + if not self.freq and x.dim() == 4: + B, C, Fr, T = x.shape + x = x.view(B, -1, T) + + if not self.freq: + le = x.shape[-1] + if not le % self.stride == 0: + x = F.pad(x, (0, self.stride - (le % self.stride))) + y = self.conv(x) + if self.empty: + return y + if inject is not None: + assert inject.shape[-1] == y.shape[-1], (inject.shape, y.shape) + if inject.dim() == 3 and y.dim() == 4: + inject = inject[:, :, None] + y = y + inject + y = F.gelu(self.norm1(y)) + if self.dconv: + if self.freq: + B, C, Fr, T = y.shape + y = y.permute(0, 2, 1, 3).reshape(-1, C, T) + y = self.dconv(y) + if self.freq: + y = y.view(B, Fr, C, T).permute(0, 2, 1, 3) + if self.rewrite: + z = self.norm2(self.rewrite(y)) + z = F.glu(z, dim=1) + else: + z = y + return z + + +class MultiWrap(nn.Module): + """ + Takes one layer and replicate it N times. each replica will act + on a frequency band. All is done so that if the N replica have the same weights, + then this is exactly equivalent to applying the original module on all frequencies. + + This is a bit over-engineered to avoid edge artifacts when splitting + the frequency bands, but it is possible the naive implementation would work as well... + """ + def __init__(self, layer, split_ratios): + """ + Args: + layer: module to clone, must be either HEncLayer or HDecLayer. + split_ratios: list of float indicating which ratio to keep for each band. + """ + super().__init__() + self.split_ratios = split_ratios + self.layers = nn.ModuleList() + self.conv = isinstance(layer, HEncLayer) + assert not layer.norm + assert layer.freq + assert layer.pad + if not self.conv: + assert not layer.context_freq + for k in range(len(split_ratios) + 1): + lay = deepcopy(layer) + if self.conv: + lay.conv.padding = (0, 0) + else: + lay.pad = False + for m in lay.modules(): + if hasattr(m, 'reset_parameters'): + m.reset_parameters() + self.layers.append(lay) + + def forward(self, x, skip=None, length=None): + B, C, Fr, T = x.shape + + ratios = list(self.split_ratios) + [1] + start = 0 + outs = [] + for ratio, layer in zip(ratios, self.layers): + if self.conv: + pad = layer.kernel_size // 4 + if ratio == 1: + limit = Fr + frames = -1 + else: + limit = int(round(Fr * ratio)) + le = limit - start + if start == 0: + le += pad + frames = round((le - layer.kernel_size) / layer.stride + 1) + limit = start + (frames - 1) * layer.stride + layer.kernel_size + if start == 0: + limit -= pad + assert limit - start > 0, (limit, start) + assert limit <= Fr, (limit, Fr) + y = x[:, :, start:limit, :] + if start == 0: + y = F.pad(y, (0, 0, pad, 0)) + if ratio == 1: + y = F.pad(y, (0, 0, 0, pad)) + outs.append(layer(y)) + start = limit - layer.kernel_size + layer.stride + else: + if ratio == 1: + limit = Fr + else: + limit = int(round(Fr * ratio)) + last = layer.last + layer.last = True + + y = x[:, :, start:limit] + s = skip[:, :, start:limit] + out, _ = layer(y, s, None) + if outs: + outs[-1][:, :, -layer.stride:] += ( + out[:, :, :layer.stride] - layer.conv_tr.bias.view(1, -1, 1, 1)) + out = out[:, :, layer.stride:] + if ratio == 1: + out = out[:, :, :-layer.stride // 2, :] + if start == 0: + out = out[:, :, layer.stride // 2:, :] + outs.append(out) + layer.last = last + start = limit + out = torch.cat(outs, dim=2) + if not self.conv and not last: + out = F.gelu(out) + if self.conv: + return out + else: + return out, None + + +class HDecLayer(nn.Module): + def __init__(self, chin, chout, last=False, kernel_size=8, stride=4, norm_groups=1, empty=False, + freq=True, dconv=True, norm=True, context=1, dconv_kw={}, pad=True, + context_freq=True, rewrite=True): + """ + Same as HEncLayer but for decoder. See `HEncLayer` for documentation. + """ + super().__init__() + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + if pad: + pad = kernel_size // 4 + else: + pad = 0 + self.pad = pad + self.last = last + self.freq = freq + self.chin = chin + self.empty = empty + self.stride = stride + self.kernel_size = kernel_size + self.norm = norm + self.context_freq = context_freq + klass = nn.Conv1d + klass_tr = nn.ConvTranspose1d + if freq: + kernel_size = [kernel_size, 1] + stride = [stride, 1] + klass = nn.Conv2d + klass_tr = nn.ConvTranspose2d + self.conv_tr = klass_tr(chin, chout, kernel_size, stride) + self.norm2 = norm_fn(chout) + if self.empty: + return + self.rewrite = None + if rewrite: + if context_freq: + self.rewrite = klass(chin, 2 * chin, 1 + 2 * context, 1, context) + else: + self.rewrite = klass(chin, 2 * chin, [1, 1 + 2 * context], 1, + [0, context]) + self.norm1 = norm_fn(2 * chin) + + self.dconv = None + if dconv: + self.dconv = DConv(chin, **dconv_kw) + + def forward(self, x, skip, length): + if self.freq and x.dim() == 3: + B, C, T = x.shape + x = x.view(B, self.chin, -1, T) + + if not self.empty: + x = x + skip + + if self.rewrite: + y = F.glu(self.norm1(self.rewrite(x)), dim=1) + else: + y = x + if self.dconv: + if self.freq: + B, C, Fr, T = y.shape + y = y.permute(0, 2, 1, 3).reshape(-1, C, T) + y = self.dconv(y) + if self.freq: + y = y.view(B, Fr, C, T).permute(0, 2, 1, 3) + else: + y = x + assert skip is None + z = self.norm2(self.conv_tr(y)) + if self.freq: + if self.pad: + z = z[..., self.pad:-self.pad, :] + else: + z = z[..., self.pad:self.pad + length] + assert z.shape[-1] == length, (z.shape[-1], length) + if not self.last: + z = F.gelu(z) + return z, y + + +class HDemucs(nn.Module): + """ + Spectrogram and hybrid Demucs model. + The spectrogram model has the same structure as Demucs, except the first few layers are over the + frequency axis, until there is only 1 frequency, and then it moves to time convolutions. + Frequency layers can still access information across time steps thanks to the DConv residual. + + Hybrid model have a parallel time branch. At some layer, the time branch has the same stride + as the frequency branch and then the two are combined. The opposite happens in the decoder. + + Models can either use naive iSTFT from masking, Wiener filtering ([Ulhih et al. 2017]), + or complex as channels (CaC) [Choi et al. 2020]. Wiener filtering is based on + Open Unmix implementation [Stoter et al. 2019]. + + The loss is always on the temporal domain, by backpropagating through the above + output methods and iSTFT. This allows to define hybrid models nicely. However, this breaks + a bit Wiener filtering, as doing more iteration at test time will change the spectrogram + contribution, without changing the one from the waveform, which will lead to worse performance. + I tried using the residual option in OpenUnmix Wiener implementation, but it didn't improve. + CaC on the other hand provides similar performance for hybrid, and works naturally with + hybrid models. + + This model also uses frequency embeddings are used to improve efficiency on convolutions + over the freq. axis, following [Isik et al. 2020] (https://arxiv.org/pdf/2008.04470.pdf). + + Unlike classic Demucs, there is no resampling here, and normalization is always applied. + """ + @capture_init + def __init__(self, + sources, + # Channels + audio_channels=2, + channels=48, + channels_time=None, + growth=2, + # STFT + nfft=4096, + wiener_iters=0, + end_iters=0, + wiener_residual=False, + cac=True, + # Main structure + depth=6, + rewrite=True, + hybrid=True, + hybrid_old=False, + # Frequency branch + multi_freqs=None, + multi_freqs_depth=2, + freq_emb=0.2, + emb_scale=10, + emb_smooth=True, + # Convolutions + kernel_size=8, + time_stride=2, + stride=4, + context=1, + context_enc=0, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=4, + dconv_attn=4, + dconv_lstm=4, + dconv_init=1e-4, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=4 * 10): + """ + Args: + sources (list[str]): list of source names. + audio_channels (int): input/output audio channels. + channels (int): initial number of hidden channels. + channels_time: if not None, use a different `channels` value for the time branch. + growth: increase the number of hidden channels by this factor at each layer. + nfft: number of fft bins. Note that changing this require careful computation of + various shape parameters and will not work out of the box for hybrid models. + wiener_iters: when using Wiener filtering, number of iterations at test time. + end_iters: same but at train time. For a hybrid model, must be equal to `wiener_iters`. + wiener_residual: add residual source before wiener filtering. + cac: uses complex as channels, i.e. complex numbers are 2 channels each + in input and output. no further processing is done before ISTFT. + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + hybrid (bool): make a hybrid time/frequency domain, otherwise frequency only. + hybrid_old: some models trained for MDX had a padding bug. This replicates + this bug to avoid retraining them. + multi_freqs: list of frequency ratios for splitting frequency bands with `MultiWrap`. + multi_freqs_depth: how many layers to wrap with `MultiWrap`. Only the outermost + layers will be wrapped. + freq_emb: add frequency embedding after the first frequency layer if > 0, + the actual value controls the weight of the embedding. + emb_scale: equivalent to scaling the embedding learning rate + emb_smooth: initialize the embedding with a smooth one (with respect to frequencies). + kernel_size: kernel_size for encoder and decoder layers. + stride: stride for encoder and decoder layers. + time_stride: stride for the final time layer, after the merge. + context: context for 1x1 conv in the decoder. + context_enc: context for 1x1 conv in the encoder. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + rescale: weight recaling trick + + """ + super().__init__() + self.cac = cac + self.wiener_residual = wiener_residual + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.channels = channels + self.samplerate = samplerate + self.segment = segment + + self.nfft = nfft + self.hop_length = nfft // 4 + self.wiener_iters = wiener_iters + self.end_iters = end_iters + self.freq_emb = None + self.hybrid = hybrid + self.hybrid_old = hybrid_old + if hybrid_old: + assert hybrid, "hybrid_old must come with hybrid=True" + if hybrid: + assert wiener_iters == end_iters + + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + + if hybrid: + self.tencoder = nn.ModuleList() + self.tdecoder = nn.ModuleList() + + chin = audio_channels + chin_z = chin # number of channels for the freq branch + if self.cac: + chin_z *= 2 + chout = channels_time or channels + chout_z = channels + freqs = nfft // 2 + + for index in range(depth): + lstm = index >= dconv_lstm + attn = index >= dconv_attn + norm = index >= norm_starts + freq = freqs > 1 + stri = stride + ker = kernel_size + if not freq: + assert freqs == 1 + ker = time_stride * 2 + stri = time_stride + + pad = True + last_freq = False + if freq and freqs <= kernel_size: + ker = freqs + pad = False + last_freq = True + + kw = { + 'kernel_size': ker, + 'stride': stri, + 'freq': freq, + 'pad': pad, + 'norm': norm, + 'rewrite': rewrite, + 'norm_groups': norm_groups, + 'dconv_kw': { + 'lstm': lstm, + 'attn': attn, + 'depth': dconv_depth, + 'compress': dconv_comp, + 'init': dconv_init, + 'gelu': True, + } + } + kwt = dict(kw) + kwt['freq'] = 0 + kwt['kernel_size'] = kernel_size + kwt['stride'] = stride + kwt['pad'] = True + kw_dec = dict(kw) + multi = False + if multi_freqs and index < multi_freqs_depth: + multi = True + kw_dec['context_freq'] = False + + if last_freq: + chout_z = max(chout, chout_z) + chout = chout_z + + enc = HEncLayer(chin_z, chout_z, + dconv=dconv_mode & 1, context=context_enc, **kw) + if hybrid and freq: + tenc = HEncLayer(chin, chout, dconv=dconv_mode & 1, context=context_enc, + empty=last_freq, **kwt) + self.tencoder.append(tenc) + + if multi: + enc = MultiWrap(enc, multi_freqs) + self.encoder.append(enc) + if index == 0: + chin = self.audio_channels * len(self.sources) + chin_z = chin + if self.cac: + chin_z *= 2 + dec = HDecLayer(chout_z, chin_z, dconv=dconv_mode & 2, + last=index == 0, context=context, **kw_dec) + if multi: + dec = MultiWrap(dec, multi_freqs) + if hybrid and freq: + tdec = HDecLayer(chout, chin, dconv=dconv_mode & 2, empty=last_freq, + last=index == 0, context=context, **kwt) + self.tdecoder.insert(0, tdec) + self.decoder.insert(0, dec) + + chin = chout + chin_z = chout_z + chout = int(growth * chout) + chout_z = int(growth * chout_z) + if freq: + if freqs <= kernel_size: + freqs = 1 + else: + freqs //= stride + if index == 0 and freq_emb: + self.freq_emb = ScaledEmbedding( + freqs, chin_z, smooth=emb_smooth, scale=emb_scale) + self.freq_emb_scale = freq_emb + + if rescale: + rescale_module(self, reference=rescale) + + def _spec(self, x): + hl = self.hop_length + nfft = self.nfft + x0 = x # noqa + + if self.hybrid: + # We re-pad the signal in order to keep the property + # that the size of the output is exactly the size of the input + # divided by the stride (here hop_length), when divisible. + # This is achieved by padding by 1/4th of the kernel size (here nfft). + # which is not supported by torch.stft. + # Having all convolution operations follow this convention allow to easily + # align the time and frequency branches later on. + assert hl == nfft // 4 + le = int(math.ceil(x.shape[-1] / hl)) + pad = hl // 2 * 3 + if not self.hybrid_old: + x = pad1d(x, (pad, pad + le * hl - x.shape[-1]), mode='reflect') + else: + x = pad1d(x, (pad, pad + le * hl - x.shape[-1])) + + z = spectro(x, nfft, hl)[..., :-1, :] + if self.hybrid: + assert z.shape[-1] == le + 4, (z.shape, x.shape, le) + z = z[..., 2:2+le] + return z + + def _ispec(self, z, length=None, scale=0): + hl = self.hop_length // (4 ** scale) + z = F.pad(z, (0, 0, 0, 1)) + if self.hybrid: + z = F.pad(z, (2, 2)) + pad = hl // 2 * 3 + if not self.hybrid_old: + le = hl * int(math.ceil(length / hl)) + 2 * pad + else: + le = hl * int(math.ceil(length / hl)) + x = ispectro(z, hl, length=le) + if not self.hybrid_old: + x = x[..., pad:pad + length] + else: + x = x[..., :length] + else: + x = ispectro(z, hl, length) + return x + + def _magnitude(self, z): + # return the magnitude of the spectrogram, except when cac is True, + # in which case we just move the complex dimension to the channel one. + if self.cac: + B, C, Fr, T = z.shape + m = torch.view_as_real(z).permute(0, 1, 4, 2, 3) + m = m.reshape(B, C * 2, Fr, T) + else: + m = z.abs() + return m + + def _mask(self, z, m): + # Apply masking given the mixture spectrogram `z` and the estimated mask `m`. + # If `cac` is True, `m` is actually a full spectrogram and `z` is ignored. + niters = self.wiener_iters + if self.cac: + B, S, C, Fr, T = m.shape + out = m.view(B, S, -1, 2, Fr, T).permute(0, 1, 2, 4, 5, 3) + out = torch.view_as_complex(out.contiguous()) + return out + if self.training: + niters = self.end_iters + if niters < 0: + z = z[:, None] + return z / (1e-8 + z.abs()) * m + else: + return self._wiener(m, z, niters) + + def _wiener(self, mag_out, mix_stft, niters): + # apply wiener filtering from OpenUnmix. + init = mix_stft.dtype + wiener_win_len = 300 + residual = self.wiener_residual + + B, S, C, Fq, T = mag_out.shape + mag_out = mag_out.permute(0, 4, 3, 2, 1) + mix_stft = torch.view_as_real(mix_stft.permute(0, 3, 2, 1)) + + outs = [] + for sample in range(B): + pos = 0 + out = [] + for pos in range(0, T, wiener_win_len): + frame = slice(pos, pos + wiener_win_len) + z_out = wiener( + mag_out[sample, frame], mix_stft[sample, frame], niters, + residual=residual) + out.append(z_out.transpose(-1, -2)) + outs.append(torch.cat(out, dim=0)) + out = torch.view_as_complex(torch.stack(outs, 0)) + out = out.permute(0, 4, 3, 2, 1).contiguous() + if residual: + out = out[:, :-1] + assert list(out.shape) == [B, S, C, Fq, T] + return out.to(init) + + def forward(self, mix): + x = mix + length = x.shape[-1] + + z = self._spec(mix) + mag = self._magnitude(z).to(mix.device) + x = mag + + B, C, Fq, T = x.shape + + # unlike previous Demucs, we always normalize because it is easier. + mean = x.mean(dim=(1, 2, 3), keepdim=True) + std = x.std(dim=(1, 2, 3), keepdim=True) + x = (x - mean) / (1e-5 + std) + # x will be the freq. branch input. + + if self.hybrid: + # Prepare the time branch input. + xt = mix + meant = xt.mean(dim=(1, 2), keepdim=True) + stdt = xt.std(dim=(1, 2), keepdim=True) + xt = (xt - meant) / (1e-5 + stdt) + + # okay, this is a giant mess I know... + saved = [] # skip connections, freq. + saved_t = [] # skip connections, time. + lengths = [] # saved lengths to properly remove padding, freq branch. + lengths_t = [] # saved lengths for time branch. + for idx, encode in enumerate(self.encoder): + lengths.append(x.shape[-1]) + inject = None + if self.hybrid and idx < len(self.tencoder): + # we have not yet merged branches. + lengths_t.append(xt.shape[-1]) + tenc = self.tencoder[idx] + xt = tenc(xt) + if not tenc.empty: + # save for skip connection + saved_t.append(xt) + else: + # tenc contains just the first conv., so that now time and freq. + # branches have the same shape and can be merged. + inject = xt + x = encode(x, inject) + if idx == 0 and self.freq_emb is not None: + # add frequency embedding to allow for non equivariant convolutions + # over the frequency axis. + frs = torch.arange(x.shape[-2], device=x.device) + emb = self.freq_emb(frs).t()[None, :, :, None].expand_as(x) + x = x + self.freq_emb_scale * emb + + saved.append(x) + + x = torch.zeros_like(x) + if self.hybrid: + xt = torch.zeros_like(x) + # initialize everything to zero (signal will go through u-net skips). + + for idx, decode in enumerate(self.decoder): + skip = saved.pop(-1) + x, pre = decode(x, skip, lengths.pop(-1)) + # `pre` contains the output just before final transposed convolution, + # which is used when the freq. and time branch separate. + + if self.hybrid: + offset = self.depth - len(self.tdecoder) + if self.hybrid and idx >= offset: + tdec = self.tdecoder[idx - offset] + length_t = lengths_t.pop(-1) + if tdec.empty: + assert pre.shape[2] == 1, pre.shape + pre = pre[:, :, 0] + xt, _ = tdec(pre, None, length_t) + else: + skip = saved_t.pop(-1) + xt, _ = tdec(xt, skip, length_t) + + # Let's make sure we used all stored skip connections. + assert len(saved) == 0 + assert len(lengths_t) == 0 + assert len(saved_t) == 0 + + S = len(self.sources) + x = x.view(B, S, -1, Fq, T) + x = x * std[:, None] + mean[:, None] + + # to cpu as mps doesnt support complex numbers + # demucs issue #435 ##432 + # NOTE: in this case z already is on cpu + # TODO: remove this when mps supports complex numbers + x_is_mps_xpu = x.device.type in ["mps", "xpu"] + x_device = x.device + if x_is_mps_xpu: + x = x.cpu() + + zout = self._mask(z, x) + x = self._ispec(zout, length) + + # back to mps device + if x_is_mps_xpu: + x = x.to(x_device) + + + if self.hybrid: + xt = xt.view(B, S, -1, length) + xt = xt * stdt[:, None] + meant[:, None] + x = xt + x + return x diff --git a/ext/py/demucs/build/lib/demucs/htdemucs.py b/ext/py/demucs/build/lib/demucs/htdemucs.py new file mode 100644 index 0000000..5656860 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/htdemucs.py @@ -0,0 +1,661 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# First author is Simon Rouard. +""" +This code contains the spectrogram and Hybrid version of Demucs. +""" +import math + +from openunmix.filtering import wiener +import torch +from torch import nn +from torch.nn import functional as F +from fractions import Fraction +from einops import rearrange + +from .transformer import CrossTransformerEncoder + +from .demucs import rescale_module +from .states import capture_init +from .spec import spectro, ispectro +from .hdemucs import pad1d, ScaledEmbedding, HEncLayer, MultiWrap, HDecLayer + + +class HTDemucs(nn.Module): + """ + Spectrogram and hybrid Demucs model. + The spectrogram model has the same structure as Demucs, except the first few layers are over the + frequency axis, until there is only 1 frequency, and then it moves to time convolutions. + Frequency layers can still access information across time steps thanks to the DConv residual. + + Hybrid model have a parallel time branch. At some layer, the time branch has the same stride + as the frequency branch and then the two are combined. The opposite happens in the decoder. + + Models can either use naive iSTFT from masking, Wiener filtering ([Ulhih et al. 2017]), + or complex as channels (CaC) [Choi et al. 2020]. Wiener filtering is based on + Open Unmix implementation [Stoter et al. 2019]. + + The loss is always on the temporal domain, by backpropagating through the above + output methods and iSTFT. This allows to define hybrid models nicely. However, this breaks + a bit Wiener filtering, as doing more iteration at test time will change the spectrogram + contribution, without changing the one from the waveform, which will lead to worse performance. + I tried using the residual option in OpenUnmix Wiener implementation, but it didn't improve. + CaC on the other hand provides similar performance for hybrid, and works naturally with + hybrid models. + + This model also uses frequency embeddings are used to improve efficiency on convolutions + over the freq. axis, following [Isik et al. 2020] (https://arxiv.org/pdf/2008.04470.pdf). + + Unlike classic Demucs, there is no resampling here, and normalization is always applied. + """ + + @capture_init + def __init__( + self, + sources, + # Channels + audio_channels=2, + channels=48, + channels_time=None, + growth=2, + # STFT + nfft=4096, + wiener_iters=0, + end_iters=0, + wiener_residual=False, + cac=True, + # Main structure + depth=4, + rewrite=True, + # Frequency branch + multi_freqs=None, + multi_freqs_depth=3, + freq_emb=0.2, + emb_scale=10, + emb_smooth=True, + # Convolutions + kernel_size=8, + time_stride=2, + stride=4, + context=1, + context_enc=0, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=8, + dconv_init=1e-3, + # Before the Transformer + bottom_channels=0, + # Transformer + t_layers=5, + t_emb="sin", + t_hidden_scale=4.0, + t_heads=8, + t_dropout=0.0, + t_max_positions=10000, + t_norm_in=True, + t_norm_in_group=False, + t_group_norm=False, + t_norm_first=True, + t_norm_out=True, + t_max_period=10000.0, + t_weight_decay=0.0, + t_lr=None, + t_layer_scale=True, + t_gelu=True, + t_weight_pos_embed=1.0, + t_sin_random_shift=0, + t_cape_mean_normalize=True, + t_cape_augment=True, + t_cape_glob_loc_scale=[5000.0, 1.0, 1.4], + t_sparse_self_attn=False, + t_sparse_cross_attn=False, + t_mask_type="diag", + t_mask_random_seed=42, + t_sparse_attn_window=500, + t_global_window=100, + t_sparsity=0.95, + t_auto_sparsity=False, + # ------ Particuliar parameters + t_cross_first=False, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=10, + use_train_segment=True, + ): + """ + Args: + sources (list[str]): list of source names. + audio_channels (int): input/output audio channels. + channels (int): initial number of hidden channels. + channels_time: if not None, use a different `channels` value for the time branch. + growth: increase the number of hidden channels by this factor at each layer. + nfft: number of fft bins. Note that changing this require careful computation of + various shape parameters and will not work out of the box for hybrid models. + wiener_iters: when using Wiener filtering, number of iterations at test time. + end_iters: same but at train time. For a hybrid model, must be equal to `wiener_iters`. + wiener_residual: add residual source before wiener filtering. + cac: uses complex as channels, i.e. complex numbers are 2 channels each + in input and output. no further processing is done before ISTFT. + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + multi_freqs: list of frequency ratios for splitting frequency bands with `MultiWrap`. + multi_freqs_depth: how many layers to wrap with `MultiWrap`. Only the outermost + layers will be wrapped. + freq_emb: add frequency embedding after the first frequency layer if > 0, + the actual value controls the weight of the embedding. + emb_scale: equivalent to scaling the embedding learning rate + emb_smooth: initialize the embedding with a smooth one (with respect to frequencies). + kernel_size: kernel_size for encoder and decoder layers. + stride: stride for encoder and decoder layers. + time_stride: stride for the final time layer, after the merge. + context: context for 1x1 conv in the decoder. + context_enc: context for 1x1 conv in the encoder. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + bottom_channels: if >0 it adds a linear layer (1x1 Conv) before and after the + transformer in order to change the number of channels + t_layers: number of layers in each branch (waveform and spec) of the transformer + t_emb: "sin", "cape" or "scaled" + t_hidden_scale: the hidden scale of the Feedforward parts of the transformer + for instance if C = 384 (the number of channels in the transformer) and + t_hidden_scale = 4.0 then the intermediate layer of the FFN has dimension + 384 * 4 = 1536 + t_heads: number of heads for the transformer + t_dropout: dropout in the transformer + t_max_positions: max_positions for the "scaled" positional embedding, only + useful if t_emb="scaled" + t_norm_in: (bool) norm before addinf positional embedding and getting into the + transformer layers + t_norm_in_group: (bool) if True while t_norm_in=True, the norm is on all the + timesteps (GroupNorm with group=1) + t_group_norm: (bool) if True, the norms of the Encoder Layers are on all the + timesteps (GroupNorm with group=1) + t_norm_first: (bool) if True the norm is before the attention and before the FFN + t_norm_out: (bool) if True, there is a GroupNorm (group=1) at the end of each layer + t_max_period: (float) denominator in the sinusoidal embedding expression + t_weight_decay: (float) weight decay for the transformer + t_lr: (float) specific learning rate for the transformer + t_layer_scale: (bool) Layer Scale for the transformer + t_gelu: (bool) activations of the transformer are GeLU if True, ReLU else + t_weight_pos_embed: (float) weighting of the positional embedding + t_cape_mean_normalize: (bool) if t_emb="cape", normalisation of positional embeddings + see: https://arxiv.org/abs/2106.03143 + t_cape_augment: (bool) if t_emb="cape", must be True during training and False + during the inference, see: https://arxiv.org/abs/2106.03143 + t_cape_glob_loc_scale: (list of 3 floats) if t_emb="cape", CAPE parameters + see: https://arxiv.org/abs/2106.03143 + t_sparse_self_attn: (bool) if True, the self attentions are sparse + t_sparse_cross_attn: (bool) if True, the cross-attentions are sparse (don't use it + unless you designed really specific masks) + t_mask_type: (str) can be "diag", "jmask", "random", "global" or any combination + with '_' between: i.e. "diag_jmask_random" (note that this is permutation + invariant i.e. "diag_jmask_random" is equivalent to "jmask_random_diag") + t_mask_random_seed: (int) if "random" is in t_mask_type, controls the seed + that generated the random part of the mask + t_sparse_attn_window: (int) if "diag" is in t_mask_type, for a query (i), and + a key (j), the mask is True id |i-j|<=t_sparse_attn_window + t_global_window: (int) if "global" is in t_mask_type, mask[:t_global_window, :] + and mask[:, :t_global_window] will be True + t_sparsity: (float) if "random" is in t_mask_type, t_sparsity is the sparsity + level of the random part of the mask. + t_cross_first: (bool) if True cross attention is the first layer of the + transformer (False seems to be better) + rescale: weight rescaling trick + use_train_segment: (bool) if True, the actual size that is used during the + training is used during inference. + """ + super().__init__() + self.cac = cac + self.wiener_residual = wiener_residual + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.bottom_channels = bottom_channels + self.channels = channels + self.samplerate = samplerate + self.segment = segment + self.use_train_segment = use_train_segment + self.nfft = nfft + self.hop_length = nfft // 4 + self.wiener_iters = wiener_iters + self.end_iters = end_iters + self.freq_emb = None + assert wiener_iters == end_iters + + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + + self.tencoder = nn.ModuleList() + self.tdecoder = nn.ModuleList() + + chin = audio_channels + chin_z = chin # number of channels for the freq branch + if self.cac: + chin_z *= 2 + chout = channels_time or channels + chout_z = channels + freqs = nfft // 2 + + for index in range(depth): + norm = index >= norm_starts + freq = freqs > 1 + stri = stride + ker = kernel_size + if not freq: + assert freqs == 1 + ker = time_stride * 2 + stri = time_stride + + pad = True + last_freq = False + if freq and freqs <= kernel_size: + ker = freqs + pad = False + last_freq = True + + kw = { + "kernel_size": ker, + "stride": stri, + "freq": freq, + "pad": pad, + "norm": norm, + "rewrite": rewrite, + "norm_groups": norm_groups, + "dconv_kw": { + "depth": dconv_depth, + "compress": dconv_comp, + "init": dconv_init, + "gelu": True, + }, + } + kwt = dict(kw) + kwt["freq"] = 0 + kwt["kernel_size"] = kernel_size + kwt["stride"] = stride + kwt["pad"] = True + kw_dec = dict(kw) + multi = False + if multi_freqs and index < multi_freqs_depth: + multi = True + kw_dec["context_freq"] = False + + if last_freq: + chout_z = max(chout, chout_z) + chout = chout_z + + enc = HEncLayer( + chin_z, chout_z, dconv=dconv_mode & 1, context=context_enc, **kw + ) + if freq: + tenc = HEncLayer( + chin, + chout, + dconv=dconv_mode & 1, + context=context_enc, + empty=last_freq, + **kwt + ) + self.tencoder.append(tenc) + + if multi: + enc = MultiWrap(enc, multi_freqs) + self.encoder.append(enc) + if index == 0: + chin = self.audio_channels * len(self.sources) + chin_z = chin + if self.cac: + chin_z *= 2 + dec = HDecLayer( + chout_z, + chin_z, + dconv=dconv_mode & 2, + last=index == 0, + context=context, + **kw_dec + ) + if multi: + dec = MultiWrap(dec, multi_freqs) + if freq: + tdec = HDecLayer( + chout, + chin, + dconv=dconv_mode & 2, + empty=last_freq, + last=index == 0, + context=context, + **kwt + ) + self.tdecoder.insert(0, tdec) + self.decoder.insert(0, dec) + + chin = chout + chin_z = chout_z + chout = int(growth * chout) + chout_z = int(growth * chout_z) + if freq: + if freqs <= kernel_size: + freqs = 1 + else: + freqs //= stride + if index == 0 and freq_emb: + self.freq_emb = ScaledEmbedding( + freqs, chin_z, smooth=emb_smooth, scale=emb_scale + ) + self.freq_emb_scale = freq_emb + + if rescale: + rescale_module(self, reference=rescale) + + transformer_channels = channels * growth ** (depth - 1) + if bottom_channels: + self.channel_upsampler = nn.Conv1d(transformer_channels, bottom_channels, 1) + self.channel_downsampler = nn.Conv1d( + bottom_channels, transformer_channels, 1 + ) + self.channel_upsampler_t = nn.Conv1d( + transformer_channels, bottom_channels, 1 + ) + self.channel_downsampler_t = nn.Conv1d( + bottom_channels, transformer_channels, 1 + ) + + transformer_channels = bottom_channels + + if t_layers > 0: + self.crosstransformer = CrossTransformerEncoder( + dim=transformer_channels, + emb=t_emb, + hidden_scale=t_hidden_scale, + num_heads=t_heads, + num_layers=t_layers, + cross_first=t_cross_first, + dropout=t_dropout, + max_positions=t_max_positions, + norm_in=t_norm_in, + norm_in_group=t_norm_in_group, + group_norm=t_group_norm, + norm_first=t_norm_first, + norm_out=t_norm_out, + max_period=t_max_period, + weight_decay=t_weight_decay, + lr=t_lr, + layer_scale=t_layer_scale, + gelu=t_gelu, + sin_random_shift=t_sin_random_shift, + weight_pos_embed=t_weight_pos_embed, + cape_mean_normalize=t_cape_mean_normalize, + cape_augment=t_cape_augment, + cape_glob_loc_scale=t_cape_glob_loc_scale, + sparse_self_attn=t_sparse_self_attn, + sparse_cross_attn=t_sparse_cross_attn, + mask_type=t_mask_type, + mask_random_seed=t_mask_random_seed, + sparse_attn_window=t_sparse_attn_window, + global_window=t_global_window, + sparsity=t_sparsity, + auto_sparsity=t_auto_sparsity, + ) + else: + self.crosstransformer = None + + def _spec(self, x): + hl = self.hop_length + nfft = self.nfft + x0 = x # noqa + + # We re-pad the signal in order to keep the property + # that the size of the output is exactly the size of the input + # divided by the stride (here hop_length), when divisible. + # This is achieved by padding by 1/4th of the kernel size (here nfft). + # which is not supported by torch.stft. + # Having all convolution operations follow this convention allow to easily + # align the time and frequency branches later on. + assert hl == nfft // 4 + le = int(math.ceil(x.shape[-1] / hl)) + pad = hl // 2 * 3 + x = pad1d(x, (pad, pad + le * hl - x.shape[-1]), mode="reflect") + + z = spectro(x, nfft, hl)[..., :-1, :] + assert z.shape[-1] == le + 4, (z.shape, x.shape, le) + z = z[..., 2: 2 + le] + return z + + def _ispec(self, z, length=None, scale=0): + hl = self.hop_length // (4**scale) + z = F.pad(z, (0, 0, 0, 1)) + z = F.pad(z, (2, 2)) + pad = hl // 2 * 3 + le = hl * int(math.ceil(length / hl)) + 2 * pad + x = ispectro(z, hl, length=le) + x = x[..., pad: pad + length] + return x + + def _magnitude(self, z): + # return the magnitude of the spectrogram, except when cac is True, + # in which case we just move the complex dimension to the channel one. + if self.cac: + B, C, Fr, T = z.shape + m = torch.view_as_real(z).permute(0, 1, 4, 2, 3) + m = m.reshape(B, C * 2, Fr, T) + else: + m = z.abs() + return m + + def _mask(self, z, m): + # Apply masking given the mixture spectrogram `z` and the estimated mask `m`. + # If `cac` is True, `m` is actually a full spectrogram and `z` is ignored. + niters = self.wiener_iters + if self.cac: + B, S, C, Fr, T = m.shape + out = m.view(B, S, -1, 2, Fr, T).permute(0, 1, 2, 4, 5, 3) + out = torch.view_as_complex(out.contiguous()) + return out + if self.training: + niters = self.end_iters + if niters < 0: + z = z[:, None] + return z / (1e-8 + z.abs()) * m + else: + return self._wiener(m, z, niters) + + def _wiener(self, mag_out, mix_stft, niters): + # apply wiener filtering from OpenUnmix. + init = mix_stft.dtype + wiener_win_len = 300 + residual = self.wiener_residual + + B, S, C, Fq, T = mag_out.shape + mag_out = mag_out.permute(0, 4, 3, 2, 1) + mix_stft = torch.view_as_real(mix_stft.permute(0, 3, 2, 1)) + + outs = [] + for sample in range(B): + pos = 0 + out = [] + for pos in range(0, T, wiener_win_len): + frame = slice(pos, pos + wiener_win_len) + z_out = wiener( + mag_out[sample, frame], + mix_stft[sample, frame], + niters, + residual=residual, + ) + out.append(z_out.transpose(-1, -2)) + outs.append(torch.cat(out, dim=0)) + out = torch.view_as_complex(torch.stack(outs, 0)) + out = out.permute(0, 4, 3, 2, 1).contiguous() + if residual: + out = out[:, :-1] + assert list(out.shape) == [B, S, C, Fq, T] + return out.to(init) + + def valid_length(self, length: int): + """ + Return a length that is appropriate for evaluation. + In our case, always return the training length, unless + it is smaller than the given length, in which case this + raises an error. + """ + if not self.use_train_segment: + return length + training_length = int(self.segment * self.samplerate) + if training_length < length: + raise ValueError( + f"Given length {length} is longer than " + f"training length {training_length}") + return training_length + + def forward(self, mix): + length = mix.shape[-1] + length_pre_pad = None + if self.use_train_segment: + if self.training: + self.segment = Fraction(mix.shape[-1], self.samplerate) + else: + training_length = int(self.segment * self.samplerate) + if mix.shape[-1] < training_length: + length_pre_pad = mix.shape[-1] + mix = F.pad(mix, (0, training_length - length_pre_pad)) + z = self._spec(mix) + mag = self._magnitude(z).to(mix.device) + x = mag + + B, C, Fq, T = x.shape + + # unlike previous Demucs, we always normalize because it is easier. + mean = x.mean(dim=(1, 2, 3), keepdim=True) + std = x.std(dim=(1, 2, 3), keepdim=True) + x = (x - mean) / (1e-5 + std) + # x will be the freq. branch input. + + # Prepare the time branch input. + xt = mix + meant = xt.mean(dim=(1, 2), keepdim=True) + stdt = xt.std(dim=(1, 2), keepdim=True) + xt = (xt - meant) / (1e-5 + stdt) + + # okay, this is a giant mess I know... + saved = [] # skip connections, freq. + saved_t = [] # skip connections, time. + lengths = [] # saved lengths to properly remove padding, freq branch. + lengths_t = [] # saved lengths for time branch. + for idx, encode in enumerate(self.encoder): + lengths.append(x.shape[-1]) + inject = None + if idx < len(self.tencoder): + # we have not yet merged branches. + lengths_t.append(xt.shape[-1]) + tenc = self.tencoder[idx] + xt = tenc(xt) + if not tenc.empty: + # save for skip connection + saved_t.append(xt) + else: + # tenc contains just the first conv., so that now time and freq. + # branches have the same shape and can be merged. + inject = xt + x = encode(x, inject) + if idx == 0 and self.freq_emb is not None: + # add frequency embedding to allow for non equivariant convolutions + # over the frequency axis. + frs = torch.arange(x.shape[-2], device=x.device) + emb = self.freq_emb(frs).t()[None, :, :, None].expand_as(x) + x = x + self.freq_emb_scale * emb + + saved.append(x) + if self.crosstransformer: + if self.bottom_channels: + b, c, f, t = x.shape + x = rearrange(x, "b c f t-> b c (f t)") + x = self.channel_upsampler(x) + x = rearrange(x, "b c (f t)-> b c f t", f=f) + xt = self.channel_upsampler_t(xt) + + x, xt = self.crosstransformer(x, xt) + + if self.bottom_channels: + x = rearrange(x, "b c f t-> b c (f t)") + x = self.channel_downsampler(x) + x = rearrange(x, "b c (f t)-> b c f t", f=f) + xt = self.channel_downsampler_t(xt) + + for idx, decode in enumerate(self.decoder): + skip = saved.pop(-1) + x, pre = decode(x, skip, lengths.pop(-1)) + # `pre` contains the output just before final transposed convolution, + # which is used when the freq. and time branch separate. + + offset = self.depth - len(self.tdecoder) + if idx >= offset: + tdec = self.tdecoder[idx - offset] + length_t = lengths_t.pop(-1) + if tdec.empty: + assert pre.shape[2] == 1, pre.shape + pre = pre[:, :, 0] + xt, _ = tdec(pre, None, length_t) + else: + skip = saved_t.pop(-1) + xt, _ = tdec(xt, skip, length_t) + + # Let's make sure we used all stored skip connections. + assert len(saved) == 0 + assert len(lengths_t) == 0 + assert len(saved_t) == 0 + + S = len(self.sources) + x = x.view(B, S, -1, Fq, T) + x = x * std[:, None] + mean[:, None] + + # to cpu as mps doesnt support complex numbers + # demucs issue #435 ##432 + # NOTE: in this case z already is on cpu + # TODO: remove this when mps supports complex numbers + x_is_mps_xpu = x.device.type in ["mps", "xpu"] + x_device = x.device + if x_is_mps_xpu: + x = x.cpu() + + zout = self._mask(z, x) + if self.use_train_segment: + if self.training: + x = self._ispec(zout, length) + else: + x = self._ispec(zout, training_length) + else: + x = self._ispec(zout, length) + + # back to mps device + if x_is_mps_xpu: + x = x.to(x_device) + + if self.use_train_segment: + if self.training: + xt = xt.view(B, S, -1, length) + else: + xt = xt.view(B, S, -1, training_length) + else: + xt = xt.view(B, S, -1, length) + xt = xt * stdt[:, None] + meant[:, None] + x = xt + x + if length_pre_pad: + x = x[..., :length_pre_pad] + return x diff --git a/ext/py/demucs/build/lib/demucs/pretrained.py b/ext/py/demucs/build/lib/demucs/pretrained.py new file mode 100644 index 0000000..80ae49c --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/pretrained.py @@ -0,0 +1,98 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Loading pretrained models. +""" + +import logging +from pathlib import Path +import typing as tp + +from dora.log import fatal, bold + +from .hdemucs import HDemucs +from .repo import RemoteRepo, LocalRepo, ModelOnlyRepo, BagOnlyRepo, AnyModelRepo, ModelLoadingError # noqa +from .states import _check_diffq + +logger = logging.getLogger(__name__) +ROOT_URL = "https://dl.fbaipublicfiles.com/demucs/" +REMOTE_ROOT = Path(__file__).parent / 'remote' + +SOURCES = ["drums", "bass", "other", "vocals"] +DEFAULT_MODEL = 'htdemucs' + + +def demucs_unittest(): + model = HDemucs(channels=4, sources=SOURCES) + return model + + +def add_model_flags(parser): + group = parser.add_mutually_exclusive_group(required=False) + group.add_argument("-s", "--sig", help="Locally trained XP signature.") + group.add_argument("-n", "--name", default="htdemucs", + help="Pretrained model name or signature. Default is htdemucs.") + parser.add_argument("--repo", type=Path, + help="Folder containing all pre-trained models for use with -n.") + + +def _parse_remote_files(remote_file_list) -> tp.Dict[str, str]: + root: str = '' + models: tp.Dict[str, str] = {} + for line in remote_file_list.read_text().split('\n'): + line = line.strip() + if line.startswith('#'): + continue + elif len(line) == 0: + continue + elif line.startswith('root:'): + root = line.split(':', 1)[1].strip() + else: + sig = line.split('-', 1)[0] + assert sig not in models + models[sig] = ROOT_URL + root + line + return models + + +def get_model(name: str, + repo: tp.Optional[Path] = None): + """`name` must be a bag of models name or a pretrained signature + from the remote AWS model repo or the specified local repo if `repo` is not None. + """ + if name == 'demucs_unittest': + return demucs_unittest() + model_repo: ModelOnlyRepo + if repo is None: + models = _parse_remote_files(REMOTE_ROOT / 'files.txt') + model_repo = RemoteRepo(models) + bag_repo = BagOnlyRepo(REMOTE_ROOT, model_repo) + else: + if not repo.is_dir(): + fatal(f"{repo} must exist and be a directory.") + model_repo = LocalRepo(repo) + bag_repo = BagOnlyRepo(repo, model_repo) + any_repo = AnyModelRepo(model_repo, bag_repo) + try: + model = any_repo.get_model(name) + except ImportError as exc: + if 'diffq' in exc.args[0]: + _check_diffq() + raise + + model.eval() + return model + + +def get_model_from_args(args): + """ + Load local model package or pre-trained model. + """ + if args.name is None: + args.name = DEFAULT_MODEL + print(bold("Important: the default model was recently changed to `htdemucs`"), + "the latest Hybrid Transformer Demucs model. In some cases, this model can " + "actually perform worse than previous models. To get back the old default model " + "use `-n mdx_extra_q`.") + return get_model(name=args.name, repo=args.repo) diff --git a/ext/py/demucs/build/lib/demucs/py.typed b/ext/py/demucs/build/lib/demucs/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/ext/py/demucs/build/lib/demucs/remote/files.txt b/ext/py/demucs/build/lib/demucs/remote/files.txt new file mode 100644 index 0000000..346eb33 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/files.txt @@ -0,0 +1,32 @@ +# MDX Models +root: mdx_final/ +0d19c1c6-0f06f20e.th +5d2d6c55-db83574e.th +7d865c68-3d5dd56b.th +7ecf8ec1-70f50cc9.th +a1d90b5c-ae9d2452.th +c511e2ab-fe698775.th +cfa93e08-61801ae1.th +e51eebcc-c1b80bdd.th +6b9c2ca1-3fd82607.th +b72baf4e-8778635e.th +42e558d4-196e0e1b.th +305bc58f-18378783.th +14fc6a69-a89dd0ee.th +464b36d7-e5a9386e.th +7fd6ef75-a905dd85.th +83fc094f-4a16d450.th +1ef250f1-592467ce.th +902315c2-b39ce9c9.th +9a6b4851-03af0aa6.th +fa0cb7f9-100d8bf4.th +# Hybrid Transformer models +root: hybrid_transformer/ +955717e8-8726e21a.th +f7e0c4bc-ba3fe64a.th +d12395a8-e57c48e6.th +92cfc3b6-ef3bcb9c.th +04573f0d-f3cf25b2.th +75fc33f5-1941ce65.th +# Experimental 6 sources model +5c90dfd2-34c22ccb.th diff --git a/ext/py/demucs/build/lib/demucs/remote/hdemucs_mmi.yaml b/ext/py/demucs/build/lib/demucs/remote/hdemucs_mmi.yaml new file mode 100644 index 0000000..0ea0891 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/hdemucs_mmi.yaml @@ -0,0 +1,2 @@ +models: ['75fc33f5'] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/htdemucs.yaml b/ext/py/demucs/build/lib/demucs/remote/htdemucs.yaml new file mode 100644 index 0000000..0d5f208 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/htdemucs.yaml @@ -0,0 +1 @@ +models: ['955717e8'] diff --git a/ext/py/demucs/build/lib/demucs/remote/htdemucs_6s.yaml b/ext/py/demucs/build/lib/demucs/remote/htdemucs_6s.yaml new file mode 100644 index 0000000..651a0fa --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/htdemucs_6s.yaml @@ -0,0 +1 @@ +models: ['5c90dfd2'] diff --git a/ext/py/demucs/build/lib/demucs/remote/htdemucs_ft.yaml b/ext/py/demucs/build/lib/demucs/remote/htdemucs_ft.yaml new file mode 100644 index 0000000..ba5c69c --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/htdemucs_ft.yaml @@ -0,0 +1,7 @@ +models: ['f7e0c4bc', 'd12395a8', '92cfc3b6', '04573f0d'] +weights: [ + [1., 0., 0., 0.], + [0., 1., 0., 0.], + [0., 0., 1., 0.], + [0., 0., 0., 1.], +] \ No newline at end of file diff --git a/ext/py/demucs/build/lib/demucs/remote/mdx.yaml b/ext/py/demucs/build/lib/demucs/remote/mdx.yaml new file mode 100644 index 0000000..4e81a50 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/mdx.yaml @@ -0,0 +1,8 @@ +models: ['0d19c1c6', '7ecf8ec1', 'c511e2ab', '7d865c68'] +weights: [ + [1., 1., 0., 0.], + [0., 1., 0., 0.], + [1., 0., 1., 1.], + [1., 0., 1., 1.], +] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/mdx_extra.yaml b/ext/py/demucs/build/lib/demucs/remote/mdx_extra.yaml new file mode 100644 index 0000000..847bf66 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/mdx_extra.yaml @@ -0,0 +1,2 @@ +models: ['e51eebcc', 'a1d90b5c', '5d2d6c55', 'cfa93e08'] +segment: 44 \ No newline at end of file diff --git a/ext/py/demucs/build/lib/demucs/remote/mdx_extra_q.yaml b/ext/py/demucs/build/lib/demucs/remote/mdx_extra_q.yaml new file mode 100644 index 0000000..87702bc --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/mdx_extra_q.yaml @@ -0,0 +1,2 @@ +models: ['83fc094f', '464b36d7', '14fc6a69', '7fd6ef75'] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/mdx_q.yaml b/ext/py/demucs/build/lib/demucs/remote/mdx_q.yaml new file mode 100644 index 0000000..827d2c6 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/mdx_q.yaml @@ -0,0 +1,8 @@ +models: ['6b9c2ca1', 'b72baf4e', '42e558d4', '305bc58f'] +weights: [ + [1., 1., 0., 0.], + [0., 1., 0., 0.], + [1., 0., 1., 1.], + [1., 0., 1., 1.], +] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a.yaml b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a.yaml new file mode 100644 index 0000000..691abc2 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a.yaml @@ -0,0 +1,2 @@ +models: ['9a6b4851', '1ef250f1', 'fa0cb7f9', '902315c2'] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_hybrid_only.yaml b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_hybrid_only.yaml new file mode 100644 index 0000000..78eb8e0 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_hybrid_only.yaml @@ -0,0 +1,2 @@ +models: ['fa0cb7f9', '902315c2', 'fa0cb7f9', '902315c2'] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_time_only.yaml b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_time_only.yaml new file mode 100644 index 0000000..d5d16ea --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/remote/repro_mdx_a_time_only.yaml @@ -0,0 +1,2 @@ +models: ['9a6b4851', '9a6b4851', '1ef250f1', '1ef250f1'] +segment: 44 diff --git a/ext/py/demucs/build/lib/demucs/repitch.py b/ext/py/demucs/build/lib/demucs/repitch.py new file mode 100644 index 0000000..b69c0d2 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/repitch.py @@ -0,0 +1,87 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Utility for on the fly pitch/tempo change for data augmentation.""" + +import random +import subprocess as sp +import tempfile + +from . import audio_legacy +import torch +import torchaudio as ta + +from .audio import save_audio + + +class RepitchedWrapper: + """ + Wrap a dataset to apply online change of pitch / tempo. + """ + def __init__(self, dataset, proba=0.2, max_pitch=2, max_tempo=12, + tempo_std=5, vocals=[3], same=True): + self.dataset = dataset + self.proba = proba + self.max_pitch = max_pitch + self.max_tempo = max_tempo + self.tempo_std = tempo_std + self.same = same + self.vocals = vocals + + def __len__(self): + return len(self.dataset) + + def __getitem__(self, index): + streams = self.dataset[index] + in_length = streams.shape[-1] + out_length = int((1 - 0.01 * self.max_tempo) * in_length) + + if random.random() < self.proba: + outs = [] + for idx, stream in enumerate(streams): + if idx == 0 or not self.same: + delta_pitch = random.randint(-self.max_pitch, self.max_pitch) + delta_tempo = random.gauss(0, self.tempo_std) + delta_tempo = min(max(-self.max_tempo, delta_tempo), self.max_tempo) + stream = repitch( + stream, + delta_pitch, + delta_tempo, + voice=idx in self.vocals) + outs.append(stream[:, :out_length]) + streams = torch.stack(outs) + else: + streams = streams[..., :out_length] + return streams + + +def repitch(wav, pitch, tempo, voice=False, quick=False, samplerate=44100): + """ + tempo is a relative delta in percentage, so tempo=10 means tempo at 110%! + pitch is in semi tones. + Requires `soundstretch` to be installed, see + https://www.surina.net/soundtouch/soundstretch.html + """ + infile = tempfile.NamedTemporaryFile(suffix=".wav") + outfile = tempfile.NamedTemporaryFile(suffix=".wav") + save_audio(wav, infile.name, samplerate, clip='clamp') + command = [ + "soundstretch", + infile.name, + outfile.name, + f"-pitch={pitch}", + f"-tempo={tempo:.6f}", + ] + if quick: + command += ["-quick"] + if voice: + command += ["-speech"] + try: + sp.run(command, capture_output=True, check=True) + except sp.CalledProcessError as error: + raise RuntimeError(f"Could not change bpm because {error.stderr.decode('utf-8')}") + wav, sr = ta.load(outfile.name) + assert sr == samplerate + return wav diff --git a/ext/py/demucs/build/lib/demucs/repo.py b/ext/py/demucs/build/lib/demucs/repo.py new file mode 100644 index 0000000..5e20ff5 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/repo.py @@ -0,0 +1,166 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Represents a model repository, including pre-trained models and bags of models. +A repo can either be the main remote repository stored in AWS, or a local repository +with your own models. +""" + +from hashlib import sha256 +from pathlib import Path +import typing as tp + +import torch +import yaml + +from .apply import BagOfModels, Model +from .states import load_model + + +AnyModel = tp.Union[Model, BagOfModels] + + +class ModelLoadingError(RuntimeError): + pass + + +def check_checksum(path: Path, checksum: str): + sha = sha256() + with open(path, 'rb') as file: + while True: + buf = file.read(2**20) + if not buf: + break + sha.update(buf) + actual_checksum = sha.hexdigest()[:len(checksum)] + if actual_checksum != checksum: + raise ModelLoadingError(f'Invalid checksum for file {path}, ' + f'expected {checksum} but got {actual_checksum}') + + +class ModelOnlyRepo: + """Base class for all model only repos. + """ + def has_model(self, sig: str) -> bool: + raise NotImplementedError() + + def get_model(self, sig: str) -> Model: + raise NotImplementedError() + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + raise NotImplementedError() + + +class RemoteRepo(ModelOnlyRepo): + def __init__(self, models: tp.Dict[str, str]): + self._models = models + + def has_model(self, sig: str) -> bool: + return sig in self._models + + def get_model(self, sig: str) -> Model: + try: + url = self._models[sig] + except KeyError: + raise ModelLoadingError(f'Could not find a pre-trained model with signature {sig}.') + pkg = torch.hub.load_state_dict_from_url( + url, map_location='cpu', check_hash=True) # type: ignore + return load_model(pkg) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._models # type: ignore + + +class LocalRepo(ModelOnlyRepo): + def __init__(self, root: Path): + self.root = root + self.scan() + + def scan(self): + self._models = {} + self._checksums = {} + for file in self.root.iterdir(): + if file.suffix == '.th': + if '-' in file.stem: + xp_sig, checksum = file.stem.split('-') + self._checksums[xp_sig] = checksum + else: + xp_sig = file.stem + if xp_sig in self._models: + raise ModelLoadingError( + f'Duplicate pre-trained model exist for signature {xp_sig}. ' + 'Please delete all but one.') + self._models[xp_sig] = file + + def has_model(self, sig: str) -> bool: + return sig in self._models + + def get_model(self, sig: str) -> Model: + try: + file = self._models[sig] + except KeyError: + raise ModelLoadingError(f'Could not find pre-trained model with signature {sig}.') + if sig in self._checksums: + check_checksum(file, self._checksums[sig]) + return load_model(file) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._models + + +class BagOnlyRepo: + """Handles only YAML files containing bag of models, leaving the actual + model loading to some Repo. + """ + def __init__(self, root: Path, model_repo: ModelOnlyRepo): + self.root = root + self.model_repo = model_repo + self.scan() + + def scan(self): + self._bags = {} + for file in self.root.iterdir(): + if file.suffix == '.yaml': + self._bags[file.stem] = file + + def has_model(self, name: str) -> bool: + return name in self._bags + + def get_model(self, name: str) -> BagOfModels: + try: + yaml_file = self._bags[name] + except KeyError: + raise ModelLoadingError(f'{name} is neither a single pre-trained model or ' + 'a bag of models.') + bag = yaml.safe_load(open(yaml_file)) + signatures = bag['models'] + models = [self.model_repo.get_model(sig) for sig in signatures] + weights = bag.get('weights') + segment = bag.get('segment') + return BagOfModels(models, weights, segment) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._bags + + +class AnyModelRepo: + def __init__(self, model_repo: ModelOnlyRepo, bag_repo: BagOnlyRepo): + self.model_repo = model_repo + self.bag_repo = bag_repo + + def has_model(self, name_or_sig: str) -> bool: + return self.model_repo.has_model(name_or_sig) or self.bag_repo.has_model(name_or_sig) + + def get_model(self, name_or_sig: str) -> AnyModel: + if self.model_repo.has_model(name_or_sig): + return self.model_repo.get_model(name_or_sig) + else: + return self.bag_repo.get_model(name_or_sig) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + models = self.model_repo.list_model() + for key, value in self.bag_repo.list_model().items(): + models[key] = value + return models diff --git a/ext/py/demucs/build/lib/demucs/separate.py b/ext/py/demucs/build/lib/demucs/separate.py new file mode 100644 index 0000000..7de5f11 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/separate.py @@ -0,0 +1,228 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import argparse +import sys +from pathlib import Path + +from dora.log import fatal +import torch as th + +from .api import Separator, save_audio, list_models + +from .apply import BagOfModels +from .htdemucs import HTDemucs +from .pretrained import add_model_flags, ModelLoadingError + + +def get_parser(): + parser = argparse.ArgumentParser("demucs.separate", + description="Separate the sources for the given tracks") + parser.add_argument("tracks", nargs='*', type=Path, default=[], help='Path to tracks') + add_model_flags(parser) + parser.add_argument("--list-models", action="store_true", help="List available models " + "from current repo and exit") + parser.add_argument("-v", "--verbose", action="store_true") + parser.add_argument("-o", + "--out", + type=Path, + default=Path("separated"), + help="Folder where to put extracted tracks. A subfolder " + "with the model name will be created.") + parser.add_argument("--filename", + default="{track}/{stem}.{ext}", + help="Set the name of output file. \n" + 'Use "{track}", "{trackext}", "{stem}", "{ext}" to use ' + "variables of track name without extension, track extension, " + "stem name and default output file extension. \n" + 'Default is "{track}/{stem}.{ext}".') + parser.add_argument("-d", + "--device", + default=( + "cuda" + if th.cuda.is_available() + else "mps" + if th.backends.mps.is_available() + else "cpu" + ), + help="Device to use, default is cuda if available else cpu") + parser.add_argument("--shifts", + default=1, + type=int, + help="Number of random shifts for equivariant stabilization." + "Increase separation time but improves quality for Demucs. 10 was used " + "in the original paper.") + parser.add_argument("--overlap", + default=0.25, + type=float, + help="Overlap between the splits.") + split_group = parser.add_mutually_exclusive_group() + split_group.add_argument("--no-split", + action="store_false", + dest="split", + default=True, + help="Doesn't split audio in chunks. " + "This can use large amounts of memory.") + split_group.add_argument("--segment", type=int, + help="Set split size of each chunk. " + "This can help save memory of graphic card. ") + parser.add_argument("--two-stems", + dest="stem", metavar="STEM", + help="Only separate audio into {STEM} and no_{STEM}. ") + parser.add_argument("--other-method", dest="other_method", choices=["none", "add", "minus"], + default="add", help='Decide how to get "no_{STEM}". "none" will not save ' + '"no_{STEM}". "add" will add all the other stems. "minus" will use the ' + "original track minus the selected stem.") + depth_group = parser.add_mutually_exclusive_group() + depth_group.add_argument("--int24", action="store_true", + help="Save wav output as 24 bits wav.") + depth_group.add_argument("--float32", action="store_true", + help="Save wav output as float32 (2x bigger).") + parser.add_argument("--clip-mode", default="rescale", choices=["rescale", "clamp", "none"], + help="Strategy for avoiding clipping: rescaling entire signal " + "if necessary (rescale) or hard clipping (clamp).") + format_group = parser.add_mutually_exclusive_group() + format_group.add_argument("--flac", action="store_true", + help="Convert the output wavs to flac.") + format_group.add_argument("--mp3", action="store_true", + help="Convert the output wavs to mp3.") + parser.add_argument("--mp3-bitrate", + default=320, + type=int, + help="Bitrate of converted mp3.") + parser.add_argument("--mp3-preset", choices=range(2, 8), type=int, default=2, + help="Encoder preset of MP3, 2 for highest quality, 7 for " + "fastest speed. Default is 2") + parser.add_argument("-j", "--jobs", + default=0, + type=int, + help="Number of jobs. This can increase memory usage but will " + "be much faster when multiple cores are available.") + + return parser + + +def main(opts=None): + parser = get_parser() + args = parser.parse_args(opts) + if args.list_models: + models = list_models(args.repo) + print("Bag of models:", end="\n ") + print("\n ".join(models["bag"])) + print("Single models:", end="\n ") + print("\n ".join(models["single"])) + sys.exit(0) + if len(args.tracks) == 0: + print("error: the following arguments are required: tracks", file=sys.stderr) + sys.exit(1) + + try: + separator = Separator(model=args.name, + repo=args.repo, + device=args.device, + shifts=args.shifts, + split=args.split, + overlap=args.overlap, + progress=True, + jobs=args.jobs, + segment=args.segment) + except ModelLoadingError as error: + fatal(error.args[0]) + + max_allowed_segment = float('inf') + if isinstance(separator.model, HTDemucs): + max_allowed_segment = float(separator.model.segment) + elif isinstance(separator.model, BagOfModels): + max_allowed_segment = separator.model.max_allowed_segment + if args.segment is not None and args.segment > max_allowed_segment: + fatal("Cannot use a Transformer model with a longer segment " + f"than it was trained for. Maximum segment is: {max_allowed_segment}") + + if isinstance(separator.model, BagOfModels): + print( + f"Selected model is a bag of {len(separator.model.models)} models. " + "You will see that many progress bars per track." + ) + + if args.stem is not None and args.stem not in separator.model.sources: + fatal( + 'error: stem "{stem}" is not in selected model. ' + "STEM must be one of {sources}.".format( + stem=args.stem, sources=", ".join(separator.model.sources) + ) + ) + out = args.out / args.name + out.mkdir(parents=True, exist_ok=True) + print(f"Separated tracks will be stored in {out.resolve()}") + for track in args.tracks: + if not track.exists(): + print(f"File {track} does not exist. If the path contains spaces, " + 'please try again after surrounding the entire path with quotes "".', + file=sys.stderr) + continue + print(f"Separating track {track}") + + origin, res = separator.separate_audio_file(track) + + if args.mp3: + ext = "mp3" + elif args.flac: + ext = "flac" + else: + ext = "wav" + kwargs = { + "samplerate": separator.samplerate, + "bitrate": args.mp3_bitrate, + "preset": args.mp3_preset, + "clip": args.clip_mode, + "as_float": args.float32, + "bits_per_sample": 24 if args.int24 else 16, + } + if args.stem is None: + for name, source in res.items(): + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem=name, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(source, str(stem), **kwargs) + else: + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem="minus_" + args.stem, + ext=ext, + ) + if args.other_method == "minus": + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(origin - res[args.stem], str(stem), **kwargs) + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem=args.stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(res.pop(args.stem), str(stem), **kwargs) + # Warning : after poping the stem, selected stem is no longer in the dict 'res' + if args.other_method == "add": + other_stem = th.zeros_like(next(iter(res.values()))) + for i in res.values(): + other_stem += i + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem="no_" + args.stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(other_stem, str(stem), **kwargs) + + +if __name__ == "__main__": + main() diff --git a/ext/py/demucs/build/lib/demucs/solver.py b/ext/py/demucs/build/lib/demucs/solver.py new file mode 100644 index 0000000..7c80b14 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/solver.py @@ -0,0 +1,405 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Main training loop.""" + +import logging + +from dora import get_xp +from dora.utils import write_and_rename +from dora.log import LogProgress, bold +import torch +import torch.nn.functional as F + +from . import augment, distrib, states, pretrained +from .apply import apply_model +from .ema import ModelEMA +from .evaluate import evaluate, new_sdr +from .svd import svd_penalty +from .utils import pull_metric, EMA + +logger = logging.getLogger(__name__) + + +def _summary(metrics): + return " | ".join(f"{key.capitalize()}={val}" for key, val in metrics.items()) + + +class Solver(object): + def __init__(self, loaders, model, optimizer, args): + self.args = args + self.loaders = loaders + + self.model = model + self.optimizer = optimizer + self.quantizer = states.get_quantizer(self.model, args.quant, self.optimizer) + self.dmodel = distrib.wrap(model) + self.device = next(iter(self.model.parameters())).device + + # Exponential moving average of the model, either updated every batch or epoch. + # The best model from all the EMAs and the original one is kept based on the valid + # loss for the final best model. + self.emas = {'batch': [], 'epoch': []} + for kind in self.emas.keys(): + decays = getattr(args.ema, kind) + device = self.device if kind == 'batch' else 'cpu' + if decays: + for decay in decays: + self.emas[kind].append(ModelEMA(self.model, decay, device=device)) + + # data augment + augments = [augment.Shift(shift=int(args.dset.samplerate * args.dset.shift), + same=args.augment.shift_same)] + if args.augment.flip: + augments += [augment.FlipChannels(), augment.FlipSign()] + for aug in ['scale', 'remix']: + kw = getattr(args.augment, aug) + if kw.proba: + augments.append(getattr(augment, aug.capitalize())(**kw)) + self.augment = torch.nn.Sequential(*augments) + + xp = get_xp() + self.folder = xp.folder + # Checkpoints + self.checkpoint_file = xp.folder / 'checkpoint.th' + self.best_file = xp.folder / 'best.th' + logger.debug("Checkpoint will be saved to %s", self.checkpoint_file.resolve()) + self.best_state = None + self.best_changed = False + + self.link = xp.link + self.history = self.link.history + + self._reset() + + def _serialize(self, epoch): + package = {} + package['state'] = self.model.state_dict() + package['optimizer'] = self.optimizer.state_dict() + package['history'] = self.history + package['best_state'] = self.best_state + package['args'] = self.args + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + package[f'ema_{kind}_{k}'] = ema.state_dict() + with write_and_rename(self.checkpoint_file) as tmp: + torch.save(package, tmp) + + save_every = self.args.save_every + if save_every and (epoch + 1) % save_every == 0 and epoch + 1 != self.args.epochs: + with write_and_rename(self.folder / f'checkpoint_{epoch + 1}.th') as tmp: + torch.save(package, tmp) + + if self.best_changed: + # Saving only the latest best model. + with write_and_rename(self.best_file) as tmp: + package = states.serialize_model(self.model, self.args) + package['state'] = self.best_state + torch.save(package, tmp) + self.best_changed = False + + def _reset(self): + """Reset state of the solver, potentially using checkpoint.""" + if self.checkpoint_file.exists(): + logger.info(f'Loading checkpoint model: {self.checkpoint_file}') + package = torch.load(self.checkpoint_file, 'cpu') + self.model.load_state_dict(package['state']) + self.optimizer.load_state_dict(package['optimizer']) + self.history[:] = package['history'] + self.best_state = package['best_state'] + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + ema.load_state_dict(package[f'ema_{kind}_{k}']) + elif self.args.continue_pretrained: + model = pretrained.get_model( + name=self.args.continue_pretrained, + repo=self.args.pretrained_repo) + self.model.load_state_dict(model.state_dict()) + elif self.args.continue_from: + name = 'checkpoint.th' + root = self.folder.parent + cf = root / str(self.args.continue_from) / name + logger.info("Loading from %s", cf) + package = torch.load(cf, 'cpu') + self.best_state = package['best_state'] + if self.args.continue_best: + self.model.load_state_dict(package['best_state'], strict=False) + else: + self.model.load_state_dict(package['state'], strict=False) + if self.args.continue_opt: + self.optimizer.load_state_dict(package['optimizer']) + + def _format_train(self, metrics: dict) -> dict: + """Formatting for train/valid metrics.""" + losses = { + 'loss': format(metrics['loss'], ".4f"), + 'reco': format(metrics['reco'], ".4f"), + } + if 'nsdr' in metrics: + losses['nsdr'] = format(metrics['nsdr'], ".3f") + if self.quantizer is not None: + losses['ms'] = format(metrics['ms'], ".2f") + if 'grad' in metrics: + losses['grad'] = format(metrics['grad'], ".4f") + if 'best' in metrics: + losses['best'] = format(metrics['best'], '.4f') + if 'bname' in metrics: + losses['bname'] = metrics['bname'] + if 'penalty' in metrics: + losses['penalty'] = format(metrics['penalty'], ".4f") + if 'hloss' in metrics: + losses['hloss'] = format(metrics['hloss'], ".4f") + return losses + + def _format_test(self, metrics: dict) -> dict: + """Formatting for test metrics.""" + losses = {} + if 'sdr' in metrics: + losses['sdr'] = format(metrics['sdr'], '.3f') + if 'nsdr' in metrics: + losses['nsdr'] = format(metrics['nsdr'], '.3f') + for source in self.model.sources: + key = f'sdr_{source}' + if key in metrics: + losses[key] = format(metrics[key], '.3f') + key = f'nsdr_{source}' + if key in metrics: + losses[key] = format(metrics[key], '.3f') + return losses + + def train(self): + # Optimizing the model + if self.history: + logger.info("Replaying metrics from previous run") + for epoch, metrics in enumerate(self.history): + formatted = self._format_train(metrics['train']) + logger.info( + bold(f'Train Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + formatted = self._format_train(metrics['valid']) + logger.info( + bold(f'Valid Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + if 'test' in metrics: + formatted = self._format_test(metrics['test']) + if formatted: + logger.info(bold(f"Test Summary | Epoch {epoch + 1} | {_summary(formatted)}")) + + epoch = 0 + for epoch in range(len(self.history), self.args.epochs): + # Train one epoch + self.model.train() # Turn on BatchNorm & Dropout + metrics = {} + logger.info('-' * 70) + logger.info("Training...") + metrics['train'] = self._run_one_epoch(epoch) + formatted = self._format_train(metrics['train']) + logger.info( + bold(f'Train Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + + # Cross validation + logger.info('-' * 70) + logger.info('Cross validation...') + self.model.eval() # Turn off Batchnorm & Dropout + with torch.no_grad(): + valid = self._run_one_epoch(epoch, train=False) + bvalid = valid + bname = 'main' + state = states.copy_state(self.model.state_dict()) + metrics['valid'] = {} + metrics['valid']['main'] = valid + key = self.args.test.metric + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + with ema.swap(): + valid = self._run_one_epoch(epoch, train=False) + name = f'ema_{kind}_{k}' + metrics['valid'][name] = valid + a = valid[key] + b = bvalid[key] + if key.startswith('nsdr'): + a = -a + b = -b + if a < b: + bvalid = valid + state = ema.state + bname = name + metrics['valid'].update(bvalid) + metrics['valid']['bname'] = bname + + valid_loss = metrics['valid'][key] + mets = pull_metric(self.link.history, f'valid.{key}') + [valid_loss] + if key.startswith('nsdr'): + best_loss = max(mets) + else: + best_loss = min(mets) + metrics['valid']['best'] = best_loss + if self.args.svd.penalty > 0: + kw = dict(self.args.svd) + kw.pop('penalty') + with torch.no_grad(): + penalty = svd_penalty(self.model, exact=True, **kw) + metrics['valid']['penalty'] = penalty + + formatted = self._format_train(metrics['valid']) + logger.info( + bold(f'Valid Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + + # Save the best model + if valid_loss == best_loss or self.args.dset.train_valid: + logger.info(bold('New best valid loss %.4f'), valid_loss) + self.best_state = states.copy_state(state) + self.best_changed = True + + # Eval model every `test.every` epoch or on last epoch + should_eval = (epoch + 1) % self.args.test.every == 0 + is_last = epoch == self.args.epochs - 1 + # # Tries to detect divergence in a reliable way and finish job + # # not to waste compute. + # # Commented out as this was super specific to the MDX competition. + # reco = metrics['valid']['main']['reco'] + # div = epoch >= 180 and reco > 0.18 + # div = div or epoch >= 100 and reco > 0.25 + # div = div and self.args.optim.loss == 'l1' + # if div: + # logger.warning("Finishing training early because valid loss is too high.") + # is_last = True + if should_eval or is_last: + # Evaluate on the testset + logger.info('-' * 70) + logger.info('Evaluating on the test set...') + # We switch to the best known model for testing + if self.args.test.best: + state = self.best_state + else: + state = states.copy_state(self.model.state_dict()) + compute_sdr = self.args.test.sdr and is_last + with states.swap_state(self.model, state): + with torch.no_grad(): + metrics['test'] = evaluate(self, compute_sdr=compute_sdr) + formatted = self._format_test(metrics['test']) + logger.info(bold(f"Test Summary | Epoch {epoch + 1} | {_summary(formatted)}")) + self.link.push_metrics(metrics) + + if distrib.rank == 0: + # Save model each epoch + self._serialize(epoch) + logger.debug("Checkpoint saved to %s", self.checkpoint_file.resolve()) + if is_last: + break + + def _run_one_epoch(self, epoch, train=True): + args = self.args + data_loader = self.loaders['train'] if train else self.loaders['valid'] + if distrib.world_size > 1 and train: + data_loader.sampler.set_epoch(epoch) + + label = ["Valid", "Train"][train] + name = label + f" | Epoch {epoch + 1}" + total = len(data_loader) + if args.max_batches: + total = min(total, args.max_batches) + logprog = LogProgress(logger, data_loader, total=total, + updates=self.args.misc.num_prints, name=name) + averager = EMA() + + for idx, sources in enumerate(logprog): + sources = sources.to(self.device) + if train: + sources = self.augment(sources) + mix = sources.sum(dim=1) + else: + mix = sources[:, 0] + sources = sources[:, 1:] + + if not train and self.args.valid_apply: + estimate = apply_model(self.model, mix, split=self.args.test.split, overlap=0) + else: + estimate = self.dmodel(mix) + if train and hasattr(self.model, 'transform_target'): + sources = self.model.transform_target(mix, sources) + assert estimate.shape == sources.shape, (estimate.shape, sources.shape) + dims = tuple(range(2, sources.dim())) + + if args.optim.loss == 'l1': + loss = F.l1_loss(estimate, sources, reduction='none') + loss = loss.mean(dims).mean(0) + reco = loss + elif args.optim.loss == 'mse': + loss = F.mse_loss(estimate, sources, reduction='none') + loss = loss.mean(dims) + reco = loss**0.5 + reco = reco.mean(0) + else: + raise ValueError(f"Invalid loss {self.args.loss}") + weights = torch.tensor(args.weights).to(sources) + loss = (loss * weights).sum() / weights.sum() + + ms = 0 + if self.quantizer is not None: + ms = self.quantizer.model_size() + if args.quant.diffq: + loss += args.quant.diffq * ms + + losses = {} + losses['reco'] = (reco * weights).sum() / weights.sum() + losses['ms'] = ms + + if not train: + nsdrs = new_sdr(sources, estimate.detach()).mean(0) + total = 0 + for source, nsdr, w in zip(self.model.sources, nsdrs, weights): + losses[f'nsdr_{source}'] = nsdr + total += w * nsdr + losses['nsdr'] = total / weights.sum() + + if train and args.svd.penalty > 0: + kw = dict(args.svd) + kw.pop('penalty') + penalty = svd_penalty(self.model, **kw) + losses['penalty'] = penalty + loss += args.svd.penalty * penalty + + losses['loss'] = loss + + for k, source in enumerate(self.model.sources): + losses[f'reco_{source}'] = reco[k] + + # optimize model in training mode + if train: + loss.backward() + grad_norm = 0 + grads = [] + for p in self.model.parameters(): + if p.grad is not None: + grad_norm += p.grad.data.norm()**2 + grads.append(p.grad.data) + losses['grad'] = grad_norm ** 0.5 + if args.optim.clip_grad: + torch.nn.utils.clip_grad_norm_( + self.model.parameters(), + args.optim.clip_grad) + + if self.args.flag == 'uns': + for n, p in self.model.named_parameters(): + if p.grad is None: + print('no grad', n) + self.optimizer.step() + self.optimizer.zero_grad() + for ema in self.emas['batch']: + ema.update() + losses = averager(losses) + logs = self._format_train(losses) + logprog.update(**logs) + # Just in case, clear some memory + del loss, estimate, reco, ms + if args.max_batches == idx: + break + if self.args.debug and train: + break + if self.args.flag == 'debug': + break + if train: + for ema in self.emas['epoch']: + ema.update() + return distrib.average(losses, idx + 1) diff --git a/ext/py/demucs/build/lib/demucs/spec.py b/ext/py/demucs/build/lib/demucs/spec.py new file mode 100644 index 0000000..d8f6ee5 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/spec.py @@ -0,0 +1,47 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Conveniance wrapper to perform STFT and iSTFT""" + +import torch as th + + +def spectro(x, n_fft=512, hop_length=None, pad=0): + *other, length = x.shape + x = x.reshape(-1, length) + is_mps_xpu = x.device.type in ['mps', 'xpu'] + if is_mps_xpu: + x = x.cpu() + z = th.stft(x, + n_fft * (1 + pad), + hop_length or n_fft // 4, + window=th.hann_window(n_fft).to(x), + win_length=n_fft, + normalized=True, + center=True, + return_complex=True, + pad_mode='reflect') + _, freqs, frame = z.shape + return z.view(*other, freqs, frame) + + +def ispectro(z, hop_length=None, length=None, pad=0): + *other, freqs, frames = z.shape + n_fft = 2 * freqs - 2 + z = z.view(-1, freqs, frames) + win_length = n_fft // (1 + pad) + is_mps_xpu = z.device.type in ['mps', 'xpu'] + if is_mps_xpu: + z = z.cpu() + x = th.istft(z, + n_fft, + hop_length, + window=th.hann_window(win_length).to(z.real), + win_length=win_length, + normalized=True, + length=length, + center=True) + _, length = x.shape + return x.view(*other, length) diff --git a/ext/py/demucs/build/lib/demucs/states.py b/ext/py/demucs/build/lib/demucs/states.py new file mode 100644 index 0000000..361bb41 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/states.py @@ -0,0 +1,163 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Utilities to save and load models. +""" +from contextlib import contextmanager + +import functools +import hashlib +import inspect +import io +from pathlib import Path +import warnings + +from omegaconf import OmegaConf +from dora.log import fatal +import torch + + +def _check_diffq(): + try: + import diffq # noqa + except ImportError: + fatal('Trying to use DiffQ, but diffq is not installed.\n' + 'On Windows run: python.exe -m pip install diffq \n' + 'On Linux/Mac, run: python3 -m pip install diffq') + + +def get_quantizer(model, args, optimizer=None): + """Return the quantizer given the XP quantization args.""" + quantizer = None + if args.diffq: + _check_diffq() + from diffq import DiffQuantizer + quantizer = DiffQuantizer( + model, min_size=args.min_size, group_size=args.group_size) + if optimizer is not None: + quantizer.setup_optimizer(optimizer) + elif args.qat: + _check_diffq() + from diffq import UniformQuantizer + quantizer = UniformQuantizer( + model, bits=args.qat, min_size=args.min_size) + return quantizer + + +def load_model(path_or_package, strict=False): + """Load a model from the given serialized model, either given as a dict (already loaded) + or a path to a file on disk.""" + if isinstance(path_or_package, dict): + package = path_or_package + elif isinstance(path_or_package, (str, Path)): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + path = path_or_package + package = torch.load(path, 'cpu') + else: + raise ValueError(f"Invalid type for {path_or_package}.") + + klass = package["klass"] + args = package["args"] + kwargs = package["kwargs"] + + if strict: + model = klass(*args, **kwargs) + else: + sig = inspect.signature(klass) + for key in list(kwargs): + if key not in sig.parameters: + warnings.warn("Dropping inexistant parameter " + key) + del kwargs[key] + model = klass(*args, **kwargs) + + state = package["state"] + + set_state(model, state) + return model + + +def get_state(model, quantizer, half=False): + """Get the state from a model, potentially with quantization applied. + If `half` is True, model are stored as half precision, which shouldn't impact performance + but half the state size.""" + if quantizer is None: + dtype = torch.half if half else None + state = {k: p.data.to(device='cpu', dtype=dtype) for k, p in model.state_dict().items()} + else: + state = quantizer.get_quantized_state() + state['__quantized'] = True + return state + + +def set_state(model, state, quantizer=None): + """Set the state on a given model.""" + if state.get('__quantized'): + if quantizer is not None: + quantizer.restore_quantized_state(model, state['quantized']) + else: + _check_diffq() + from diffq import restore_quantized_state + restore_quantized_state(model, state) + else: + model.load_state_dict(state) + return state + + +def save_with_checksum(content, path): + """Save the given value on disk, along with a sha256 hash. + Should be used with the output of either `serialize_model` or `get_state`.""" + buf = io.BytesIO() + torch.save(content, buf) + sig = hashlib.sha256(buf.getvalue()).hexdigest()[:8] + + path = path.parent / (path.stem + "-" + sig + path.suffix) + path.write_bytes(buf.getvalue()) + + +def serialize_model(model, training_args, quantizer=None, half=True): + args, kwargs = model._init_args_kwargs + klass = model.__class__ + + state = get_state(model, quantizer, half) + return { + 'klass': klass, + 'args': args, + 'kwargs': kwargs, + 'state': state, + 'training_args': OmegaConf.to_container(training_args, resolve=True), + } + + +def copy_state(state): + return {k: v.cpu().clone() for k, v in state.items()} + + +@contextmanager +def swap_state(model, state): + """ + Context manager that swaps the state of a model, e.g: + + # model is in old state + with swap_state(model, new_state): + # model in new state + # model back to old state + """ + old_state = copy_state(model.state_dict()) + model.load_state_dict(state, strict=False) + try: + yield + finally: + model.load_state_dict(old_state) + + +def capture_init(init): + @functools.wraps(init) + def __init__(self, *args, **kwargs): + self._init_args_kwargs = (args, kwargs) + init(self, *args, **kwargs) + + return __init__ diff --git a/ext/py/demucs/build/lib/demucs/svd.py b/ext/py/demucs/build/lib/demucs/svd.py new file mode 100644 index 0000000..1cbaa82 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/svd.py @@ -0,0 +1,83 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Ways to make the model stronger.""" +import random +import torch + + +def power_iteration(m, niters=1, bs=1): + """This is the power method. batch size is used to try multiple starting point in parallel.""" + assert m.dim() == 2 + assert m.shape[0] == m.shape[1] + dim = m.shape[0] + b = torch.randn(dim, bs, device=m.device, dtype=m.dtype) + + for _ in range(niters): + n = m.mm(b) + norm = n.norm(dim=0, keepdim=True) + b = n / (1e-10 + norm) + + return norm.mean() + + +# We need a shared RNG to make sure all the distributed worker will skip the penalty together, +# as otherwise we wouldn't get any speed up. +penalty_rng = random.Random(1234) + + +def svd_penalty(model, min_size=0.1, dim=1, niters=2, powm=False, convtr=True, + proba=1, conv_only=False, exact=False, bs=1): + """ + Penalty on the largest singular value for a layer. + Args: + - model: model to penalize + - min_size: minimum size in MB of a layer to penalize. + - dim: projection dimension for the svd_lowrank. Higher is better but slower. + - niters: number of iterations in the algorithm used by svd_lowrank. + - powm: use power method instead of lowrank SVD, my own experience + is that it is both slower and less stable. + - convtr: when True, differentiate between Conv and Transposed Conv. + this is kept for compatibility with older experiments. + - proba: probability to apply the penalty. + - conv_only: only apply to conv and conv transposed, not LSTM + (might not be reliable for other models than Demucs). + - exact: use exact SVD (slow but useful at validation). + - bs: batch_size for power method. + """ + total = 0 + if penalty_rng.random() > proba: + return 0. + + for m in model.modules(): + for name, p in m.named_parameters(recurse=False): + if p.numel() / 2**18 < min_size: + continue + if convtr: + if isinstance(m, (torch.nn.ConvTranspose1d, torch.nn.ConvTranspose2d)): + if p.dim() in [3, 4]: + p = p.transpose(0, 1).contiguous() + if p.dim() == 3: + p = p.view(len(p), -1) + elif p.dim() == 4: + p = p.view(len(p), -1) + elif p.dim() == 1: + continue + elif conv_only: + continue + assert p.dim() == 2, (name, p.shape) + if exact: + estimate = torch.svd(p, compute_uv=False)[1].pow(2).max() + elif powm: + a, b = p.shape + if a < b: + n = p.mm(p.t()) + else: + n = p.t().mm(p) + estimate = power_iteration(n, niters, bs) + else: + estimate = torch.svd_lowrank(p, dim, niters)[1][0].pow(2) + total += estimate + return total / proba diff --git a/ext/py/demucs/build/lib/demucs/train.py b/ext/py/demucs/build/lib/demucs/train.py new file mode 100644 index 0000000..e045b83 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/train.py @@ -0,0 +1,252 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Main training script entry point""" + +import logging +import os +from pathlib import Path +import sys + +from dora import hydra_main +import hydra +from hydra.core.global_hydra import GlobalHydra +from omegaconf import OmegaConf +from . import audio_legacy +import torch +from torch import nn +import torchaudio +from torch.utils.data import ConcatDataset + +from . import distrib +from .wav import get_wav_datasets, get_musdb_wav_datasets +from .demucs import Demucs +from .hdemucs import HDemucs +from .htdemucs import HTDemucs +from .repitch import RepitchedWrapper +from .solver import Solver +from .states import capture_init +from .utils import random_subset + +logger = logging.getLogger(__name__) + + +class TorchHDemucsWrapper(nn.Module): + """Wrapper around torchaudio HDemucs implementation to provide the proper metadata + for model evaluation. + See https://pytorch.org/audio/stable/tutorials/hybrid_demucs_tutorial.html""" + + @capture_init + def __init__(self, **kwargs): + super().__init__() + try: + from torchaudio.models import HDemucs as TorchHDemucs + except ImportError: + raise ImportError("Please upgrade torchaudio for using its implementation of HDemucs") + self.samplerate = kwargs.pop('samplerate') + self.segment = kwargs.pop('segment') + self.sources = kwargs['sources'] + self.torch_hdemucs = TorchHDemucs(**kwargs) + + def forward(self, mix): + return self.torch_hdemucs.forward(mix) + + +def get_model(args): + extra = { + 'sources': list(args.dset.sources), + 'audio_channels': args.dset.channels, + 'samplerate': args.dset.samplerate, + 'segment': args.model_segment or 4 * args.dset.segment, + } + klass = { + 'demucs': Demucs, + 'hdemucs': HDemucs, + 'htdemucs': HTDemucs, + 'torch_hdemucs': TorchHDemucsWrapper, + }[args.model] + kw = OmegaConf.to_container(getattr(args, args.model), resolve=True) + model = klass(**extra, **kw) + return model + + +def get_optimizer(model, args): + seen_params = set() + other_params = [] + groups = [] + for n, module in model.named_modules(): + if hasattr(module, "make_optim_group"): + group = module.make_optim_group() + params = set(group["params"]) + assert params.isdisjoint(seen_params) + seen_params |= set(params) + groups.append(group) + for param in model.parameters(): + if param not in seen_params: + other_params.append(param) + groups.insert(0, {"params": other_params}) + parameters = groups + if args.optim.optim == "adam": + return torch.optim.Adam( + parameters, + lr=args.optim.lr, + betas=(args.optim.momentum, args.optim.beta2), + weight_decay=args.optim.weight_decay, + ) + elif args.optim.optim == "adamw": + return torch.optim.AdamW( + parameters, + lr=args.optim.lr, + betas=(args.optim.momentum, args.optim.beta2), + weight_decay=args.optim.weight_decay, + ) + else: + raise ValueError("Invalid optimizer %s", args.optim.optimizer) + + +def get_datasets(args): + if args.dset.backend: + torchaudio.set_audio_backend(args.dset.backend) + if args.dset.use_musdb: + train_set, valid_set = get_musdb_wav_datasets(args.dset) + else: + train_set, valid_set = [], [] + if args.dset.wav: + extra_train_set, extra_valid_set = get_wav_datasets(args.dset) + if len(args.dset.sources) <= 4: + train_set = ConcatDataset([train_set, extra_train_set]) + valid_set = ConcatDataset([valid_set, extra_valid_set]) + else: + train_set = extra_train_set + valid_set = extra_valid_set + + if args.dset.wav2: + extra_train_set, extra_valid_set = get_wav_datasets(args.dset, "wav2") + weight = args.dset.wav2_weight + if weight is not None: + b = len(train_set) + e = len(extra_train_set) + reps = max(1, round(e / b * (1 / weight - 1))) + else: + reps = 1 + train_set = ConcatDataset([train_set] * reps + [extra_train_set]) + if args.dset.wav2_valid: + if weight is not None: + b = len(valid_set) + n_kept = int(round(weight * b / (1 - weight))) + valid_set = ConcatDataset( + [valid_set, random_subset(extra_valid_set, n_kept)] + ) + else: + valid_set = ConcatDataset([valid_set, extra_valid_set]) + if args.dset.valid_samples is not None: + valid_set = random_subset(valid_set, args.dset.valid_samples) + assert len(train_set) + assert len(valid_set) + return train_set, valid_set + + +def get_solver(args, model_only=False): + distrib.init() + + torch.manual_seed(args.seed) + model = get_model(args) + if args.misc.show: + logger.info(model) + mb = sum(p.numel() for p in model.parameters()) * 4 / 2**20 + logger.info('Size: %.1f MB', mb) + if hasattr(model, 'valid_length'): + field = model.valid_length(1) + logger.info('Field: %.1f ms', field / args.dset.samplerate * 1000) + sys.exit(0) + + # torch also initialize cuda seed if available + if torch.cuda.is_available(): + model.cuda() + + # optimizer + optimizer = get_optimizer(model, args) + + assert args.batch_size % distrib.world_size == 0 + args.batch_size //= distrib.world_size + + if model_only: + return Solver(None, model, optimizer, args) + + train_set, valid_set = get_datasets(args) + + if args.augment.repitch.proba: + vocals = [] + if 'vocals' in args.dset.sources: + vocals.append(args.dset.sources.index('vocals')) + else: + logger.warning('No vocal source found') + if args.augment.repitch.proba: + train_set = RepitchedWrapper(train_set, vocals=vocals, **args.augment.repitch) + + logger.info("train/valid set size: %d %d", len(train_set), len(valid_set)) + train_loader = distrib.loader( + train_set, batch_size=args.batch_size, shuffle=True, + num_workers=args.misc.num_workers, drop_last=True) + if args.dset.full_cv: + valid_loader = distrib.loader( + valid_set, batch_size=1, shuffle=False, + num_workers=args.misc.num_workers) + else: + valid_loader = distrib.loader( + valid_set, batch_size=args.batch_size, shuffle=False, + num_workers=args.misc.num_workers, drop_last=True) + loaders = {"train": train_loader, "valid": valid_loader} + + # Construct Solver + return Solver(loaders, model, optimizer, args) + + +def get_solver_from_sig(sig, model_only=False): + inst = GlobalHydra.instance() + hyd = None + if inst.is_initialized(): + hyd = inst.hydra + inst.clear() + xp = main.get_xp_from_sig(sig) + if hyd is not None: + inst.clear() + inst.initialize(hyd) + + with xp.enter(stack=True): + return get_solver(xp.cfg, model_only) + + +@hydra_main(config_path="../conf", config_name="config", version_base="1.1") +def main(args): + global __file__ + __file__ = hydra.utils.to_absolute_path(__file__) + for attr in ["musdb", "wav", "metadata"]: + val = getattr(args.dset, attr) + if val is not None: + setattr(args.dset, attr, hydra.utils.to_absolute_path(val)) + + os.environ["OMP_NUM_THREADS"] = "1" + os.environ["MKL_NUM_THREADS"] = "1" + + if args.misc.verbose: + logger.setLevel(logging.DEBUG) + + logger.info("For logs, checkpoints and samples check %s", os.getcwd()) + logger.debug(args) + from dora import get_xp + logger.debug(get_xp().cfg) + + solver = get_solver(args) + solver.train() + + +if '_DORA_TEST_PATH' in os.environ: + main.dora.dir = Path(os.environ['_DORA_TEST_PATH']) + + +if __name__ == "__main__": + main() diff --git a/ext/py/demucs/build/lib/demucs/transformer.py b/ext/py/demucs/build/lib/demucs/transformer.py new file mode 100644 index 0000000..56a465b --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/transformer.py @@ -0,0 +1,839 @@ +# Copyright (c) 2019-present, Meta, Inc. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# First author is Simon Rouard. + +import random +import typing as tp + +import torch +import torch.nn as nn +import torch.nn.functional as F +import numpy as np +import math +from einops import rearrange + + +def create_sin_embedding( + length: int, dim: int, shift: int = 0, device="cpu", max_period=10000 +): + # We aim for TBC format + assert dim % 2 == 0 + pos = shift + torch.arange(length, device=device).view(-1, 1, 1) + half_dim = dim // 2 + adim = torch.arange(dim // 2, device=device).view(1, 1, -1) + phase = pos / (max_period ** (adim / (half_dim - 1))) + return torch.cat( + [ + torch.cos(phase), + torch.sin(phase), + ], + dim=-1, + ) + + +def create_2d_sin_embedding(d_model, height, width, device="cpu", max_period=10000): + """ + :param d_model: dimension of the model + :param height: height of the positions + :param width: width of the positions + :return: d_model*height*width position matrix + """ + if d_model % 4 != 0: + raise ValueError( + "Cannot use sin/cos positional encoding with " + "odd dimension (got dim={:d})".format(d_model) + ) + pe = torch.zeros(d_model, height, width) + # Each dimension use half of d_model + d_model = int(d_model / 2) + div_term = torch.exp( + torch.arange(0.0, d_model, 2) * -(math.log(max_period) / d_model) + ) + pos_w = torch.arange(0.0, width).unsqueeze(1) + pos_h = torch.arange(0.0, height).unsqueeze(1) + pe[0:d_model:2, :, :] = ( + torch.sin(pos_w * div_term).transpose(0, 1).unsqueeze(1).repeat(1, height, 1) + ) + pe[1:d_model:2, :, :] = ( + torch.cos(pos_w * div_term).transpose(0, 1).unsqueeze(1).repeat(1, height, 1) + ) + pe[d_model::2, :, :] = ( + torch.sin(pos_h * div_term).transpose(0, 1).unsqueeze(2).repeat(1, 1, width) + ) + pe[d_model + 1:: 2, :, :] = ( + torch.cos(pos_h * div_term).transpose(0, 1).unsqueeze(2).repeat(1, 1, width) + ) + + return pe[None, :].to(device) + + +def create_sin_embedding_cape( + length: int, + dim: int, + batch_size: int, + mean_normalize: bool, + augment: bool, # True during training + max_global_shift: float = 0.0, # delta max + max_local_shift: float = 0.0, # epsilon max + max_scale: float = 1.0, + device: str = "cpu", + max_period: float = 10000.0, +): + # We aim for TBC format + assert dim % 2 == 0 + pos = 1.0 * torch.arange(length).view(-1, 1, 1) # (length, 1, 1) + pos = pos.repeat(1, batch_size, 1) # (length, batch_size, 1) + if mean_normalize: + pos -= torch.nanmean(pos, dim=0, keepdim=True) + + if augment: + delta = np.random.uniform( + -max_global_shift, +max_global_shift, size=[1, batch_size, 1] + ) + delta_local = np.random.uniform( + -max_local_shift, +max_local_shift, size=[length, batch_size, 1] + ) + log_lambdas = np.random.uniform( + -np.log(max_scale), +np.log(max_scale), size=[1, batch_size, 1] + ) + pos = (pos + delta + delta_local) * np.exp(log_lambdas) + + pos = pos.to(device) + + half_dim = dim // 2 + adim = torch.arange(dim // 2, device=device).view(1, 1, -1) + phase = pos / (max_period ** (adim / (half_dim - 1))) + return torch.cat( + [ + torch.cos(phase), + torch.sin(phase), + ], + dim=-1, + ).float() + + +def get_causal_mask(length): + pos = torch.arange(length) + return pos > pos[:, None] + + +def get_elementary_mask( + T1, + T2, + mask_type, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, +): + """ + When the input of the Decoder has length T1 and the output T2 + The mask matrix has shape (T2, T1) + """ + assert mask_type in ["diag", "jmask", "random", "global"] + + if mask_type == "global": + mask = torch.zeros(T2, T1, dtype=torch.bool) + mask[:, :global_window] = True + line_window = int(global_window * T2 / T1) + mask[:line_window, :] = True + + if mask_type == "diag": + + mask = torch.zeros(T2, T1, dtype=torch.bool) + rows = torch.arange(T2)[:, None] + cols = ( + (T1 / T2 * rows + torch.arange(-sparse_attn_window, sparse_attn_window + 1)) + .long() + .clamp(0, T1 - 1) + ) + mask.scatter_(1, cols, torch.ones(1, dtype=torch.bool).expand_as(cols)) + + elif mask_type == "jmask": + mask = torch.zeros(T2 + 2, T1 + 2, dtype=torch.bool) + rows = torch.arange(T2 + 2)[:, None] + t = torch.arange(0, int((2 * T1) ** 0.5 + 1)) + t = (t * (t + 1) / 2).int() + t = torch.cat([-t.flip(0)[:-1], t]) + cols = (T1 / T2 * rows + t).long().clamp(0, T1 + 1) + mask.scatter_(1, cols, torch.ones(1, dtype=torch.bool).expand_as(cols)) + mask = mask[1:-1, 1:-1] + + elif mask_type == "random": + gene = torch.Generator(device=device) + gene.manual_seed(mask_random_seed) + mask = ( + torch.rand(T1 * T2, generator=gene, device=device).reshape(T2, T1) + > sparsity + ) + + mask = mask.to(device) + return mask + + +def get_mask( + T1, + T2, + mask_type, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, +): + """ + Return a SparseCSRTensor mask that is a combination of elementary masks + mask_type can be a combination of multiple masks: for instance "diag_jmask_random" + """ + from xformers.sparse import SparseCSRTensor + # create a list + mask_types = mask_type.split("_") + + all_masks = [ + get_elementary_mask( + T1, + T2, + mask, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, + ) + for mask in mask_types + ] + + final_mask = torch.stack(all_masks).sum(axis=0) > 0 + + return SparseCSRTensor.from_dense(final_mask[None]) + + +class ScaledEmbedding(nn.Module): + def __init__( + self, + num_embeddings: int, + embedding_dim: int, + scale: float = 1.0, + boost: float = 3.0, + ): + super().__init__() + self.embedding = nn.Embedding(num_embeddings, embedding_dim) + self.embedding.weight.data *= scale / boost + self.boost = boost + + @property + def weight(self): + return self.embedding.weight * self.boost + + def forward(self, x): + return self.embedding(x) * self.boost + + +class LayerScale(nn.Module): + """Layer scale from [Touvron et al 2021] (https://arxiv.org/pdf/2103.17239.pdf). + This rescales diagonaly residual outputs close to 0 initially, then learnt. + """ + + def __init__(self, channels: int, init: float = 0, channel_last=False): + """ + channel_last = False corresponds to (B, C, T) tensors + channel_last = True corresponds to (T, B, C) tensors + """ + super().__init__() + self.channel_last = channel_last + self.scale = nn.Parameter(torch.zeros(channels, requires_grad=True)) + self.scale.data[:] = init + + def forward(self, x): + if self.channel_last: + return self.scale * x + else: + return self.scale[:, None] * x + + +class MyGroupNorm(nn.GroupNorm): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def forward(self, x): + """ + x: (B, T, C) + if num_groups=1: Normalisation on all T and C together for each B + """ + x = x.transpose(1, 2) + return super().forward(x).transpose(1, 2) + + +class MyTransformerEncoderLayer(nn.TransformerEncoderLayer): + def __init__( + self, + d_model, + nhead, + dim_feedforward=2048, + dropout=0.1, + activation=F.relu, + group_norm=0, + norm_first=False, + norm_out=False, + layer_norm_eps=1e-5, + layer_scale=False, + init_values=1e-4, + device=None, + dtype=None, + sparse=False, + mask_type="diag", + mask_random_seed=42, + sparse_attn_window=500, + global_window=50, + auto_sparsity=False, + sparsity=0.95, + batch_first=False, + ): + factory_kwargs = {"device": device, "dtype": dtype} + super().__init__( + d_model=d_model, + nhead=nhead, + dim_feedforward=dim_feedforward, + dropout=dropout, + activation=activation, + layer_norm_eps=layer_norm_eps, + batch_first=batch_first, + norm_first=norm_first, + device=device, + dtype=dtype, + ) + self.sparse = sparse + self.auto_sparsity = auto_sparsity + if sparse: + if not auto_sparsity: + self.mask_type = mask_type + self.sparse_attn_window = sparse_attn_window + self.global_window = global_window + self.sparsity = sparsity + if group_norm: + self.norm1 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + + self.norm_out = None + if self.norm_first & norm_out: + self.norm_out = MyGroupNorm(num_groups=int(norm_out), num_channels=d_model) + self.gamma_1 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + self.gamma_2 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + + if sparse: + self.self_attn = MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first, + auto_sparsity=sparsity if auto_sparsity else 0, + ) + self.__setattr__("src_mask", torch.zeros(1, 1)) + self.mask_random_seed = mask_random_seed + + def forward(self, src, src_mask=None, src_key_padding_mask=None): + """ + if batch_first = False, src shape is (T, B, C) + the case where batch_first=True is not covered + """ + device = src.device + x = src + T, B, C = x.shape + if self.sparse and not self.auto_sparsity: + assert src_mask is None + src_mask = self.src_mask + if src_mask.shape[-1] != T: + src_mask = get_mask( + T, + T, + self.mask_type, + self.sparse_attn_window, + self.global_window, + self.mask_random_seed, + self.sparsity, + device, + ) + self.__setattr__("src_mask", src_mask) + + if self.norm_first: + x = x + self.gamma_1( + self._sa_block(self.norm1(x), src_mask, src_key_padding_mask) + ) + x = x + self.gamma_2(self._ff_block(self.norm2(x))) + + if self.norm_out: + x = self.norm_out(x) + else: + x = self.norm1( + x + self.gamma_1(self._sa_block(x, src_mask, src_key_padding_mask)) + ) + x = self.norm2(x + self.gamma_2(self._ff_block(x))) + + return x + + +class CrossTransformerEncoderLayer(nn.Module): + def __init__( + self, + d_model: int, + nhead: int, + dim_feedforward: int = 2048, + dropout: float = 0.1, + activation=F.relu, + layer_norm_eps: float = 1e-5, + layer_scale: bool = False, + init_values: float = 1e-4, + norm_first: bool = False, + group_norm: bool = False, + norm_out: bool = False, + sparse=False, + mask_type="diag", + mask_random_seed=42, + sparse_attn_window=500, + global_window=50, + sparsity=0.95, + auto_sparsity=None, + device=None, + dtype=None, + batch_first=False, + ): + factory_kwargs = {"device": device, "dtype": dtype} + super().__init__() + + self.sparse = sparse + self.auto_sparsity = auto_sparsity + if sparse: + if not auto_sparsity: + self.mask_type = mask_type + self.sparse_attn_window = sparse_attn_window + self.global_window = global_window + self.sparsity = sparsity + + self.cross_attn: nn.Module + self.cross_attn = nn.MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first) + # Implementation of Feedforward model + self.linear1 = nn.Linear(d_model, dim_feedforward, **factory_kwargs) + self.dropout = nn.Dropout(dropout) + self.linear2 = nn.Linear(dim_feedforward, d_model, **factory_kwargs) + + self.norm_first = norm_first + self.norm1: nn.Module + self.norm2: nn.Module + self.norm3: nn.Module + if group_norm: + self.norm1 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm3 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + else: + self.norm1 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm3 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + + self.norm_out = None + if self.norm_first & norm_out: + self.norm_out = MyGroupNorm(num_groups=int(norm_out), num_channels=d_model) + + self.gamma_1 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + self.gamma_2 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + + self.dropout1 = nn.Dropout(dropout) + self.dropout2 = nn.Dropout(dropout) + + # Legacy string support for activation function. + if isinstance(activation, str): + self.activation = self._get_activation_fn(activation) + else: + self.activation = activation + + if sparse: + self.cross_attn = MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first, + auto_sparsity=sparsity if auto_sparsity else 0) + if not auto_sparsity: + self.__setattr__("mask", torch.zeros(1, 1)) + self.mask_random_seed = mask_random_seed + + def forward(self, q, k, mask=None): + """ + Args: + q: tensor of shape (T, B, C) + k: tensor of shape (S, B, C) + mask: tensor of shape (T, S) + + """ + device = q.device + T, B, C = q.shape + S, B, C = k.shape + if self.sparse and not self.auto_sparsity: + assert mask is None + mask = self.mask + if mask.shape[-1] != S or mask.shape[-2] != T: + mask = get_mask( + S, + T, + self.mask_type, + self.sparse_attn_window, + self.global_window, + self.mask_random_seed, + self.sparsity, + device, + ) + self.__setattr__("mask", mask) + + if self.norm_first: + x = q + self.gamma_1(self._ca_block(self.norm1(q), self.norm2(k), mask)) + x = x + self.gamma_2(self._ff_block(self.norm3(x))) + if self.norm_out: + x = self.norm_out(x) + else: + x = self.norm1(q + self.gamma_1(self._ca_block(q, k, mask))) + x = self.norm2(x + self.gamma_2(self._ff_block(x))) + + return x + + # self-attention block + def _ca_block(self, q, k, attn_mask=None): + x = self.cross_attn(q, k, k, attn_mask=attn_mask, need_weights=False)[0] + return self.dropout1(x) + + # feed forward block + def _ff_block(self, x): + x = self.linear2(self.dropout(self.activation(self.linear1(x)))) + return self.dropout2(x) + + def _get_activation_fn(self, activation): + if activation == "relu": + return F.relu + elif activation == "gelu": + return F.gelu + + raise RuntimeError("activation should be relu/gelu, not {}".format(activation)) + + +# ----------------- MULTI-BLOCKS MODELS: ----------------------- + + +class CrossTransformerEncoder(nn.Module): + def __init__( + self, + dim: int, + emb: str = "sin", + hidden_scale: float = 4.0, + num_heads: int = 8, + num_layers: int = 6, + cross_first: bool = False, + dropout: float = 0.0, + max_positions: int = 1000, + norm_in: bool = True, + norm_in_group: bool = False, + group_norm: int = False, + norm_first: bool = False, + norm_out: bool = False, + max_period: float = 10000.0, + weight_decay: float = 0.0, + lr: tp.Optional[float] = None, + layer_scale: bool = False, + gelu: bool = True, + sin_random_shift: int = 0, + weight_pos_embed: float = 1.0, + cape_mean_normalize: bool = True, + cape_augment: bool = True, + cape_glob_loc_scale: list = [5000.0, 1.0, 1.4], + sparse_self_attn: bool = False, + sparse_cross_attn: bool = False, + mask_type: str = "diag", + mask_random_seed: int = 42, + sparse_attn_window: int = 500, + global_window: int = 50, + auto_sparsity: bool = False, + sparsity: float = 0.95, + ): + super().__init__() + """ + """ + assert dim % num_heads == 0 + + hidden_dim = int(dim * hidden_scale) + + self.num_layers = num_layers + # classic parity = 1 means that if idx%2 == 1 there is a + # classical encoder else there is a cross encoder + self.classic_parity = 1 if cross_first else 0 + self.emb = emb + self.max_period = max_period + self.weight_decay = weight_decay + self.weight_pos_embed = weight_pos_embed + self.sin_random_shift = sin_random_shift + if emb == "cape": + self.cape_mean_normalize = cape_mean_normalize + self.cape_augment = cape_augment + self.cape_glob_loc_scale = cape_glob_loc_scale + if emb == "scaled": + self.position_embeddings = ScaledEmbedding(max_positions, dim, scale=0.2) + + self.lr = lr + + activation: tp.Any = F.gelu if gelu else F.relu + + self.norm_in: nn.Module + self.norm_in_t: nn.Module + if norm_in: + self.norm_in = nn.LayerNorm(dim) + self.norm_in_t = nn.LayerNorm(dim) + elif norm_in_group: + self.norm_in = MyGroupNorm(int(norm_in_group), dim) + self.norm_in_t = MyGroupNorm(int(norm_in_group), dim) + else: + self.norm_in = nn.Identity() + self.norm_in_t = nn.Identity() + + # spectrogram layers + self.layers = nn.ModuleList() + # temporal layers + self.layers_t = nn.ModuleList() + + kwargs_common = { + "d_model": dim, + "nhead": num_heads, + "dim_feedforward": hidden_dim, + "dropout": dropout, + "activation": activation, + "group_norm": group_norm, + "norm_first": norm_first, + "norm_out": norm_out, + "layer_scale": layer_scale, + "mask_type": mask_type, + "mask_random_seed": mask_random_seed, + "sparse_attn_window": sparse_attn_window, + "global_window": global_window, + "sparsity": sparsity, + "auto_sparsity": auto_sparsity, + "batch_first": True, + } + + kwargs_classic_encoder = dict(kwargs_common) + kwargs_classic_encoder.update({ + "sparse": sparse_self_attn, + }) + kwargs_cross_encoder = dict(kwargs_common) + kwargs_cross_encoder.update({ + "sparse": sparse_cross_attn, + }) + + for idx in range(num_layers): + if idx % 2 == self.classic_parity: + + self.layers.append(MyTransformerEncoderLayer(**kwargs_classic_encoder)) + self.layers_t.append( + MyTransformerEncoderLayer(**kwargs_classic_encoder) + ) + + else: + self.layers.append(CrossTransformerEncoderLayer(**kwargs_cross_encoder)) + + self.layers_t.append( + CrossTransformerEncoderLayer(**kwargs_cross_encoder) + ) + + def forward(self, x, xt): + B, C, Fr, T1 = x.shape + pos_emb_2d = create_2d_sin_embedding( + C, Fr, T1, x.device, self.max_period + ) # (1, C, Fr, T1) + pos_emb_2d = rearrange(pos_emb_2d, "b c fr t1 -> b (t1 fr) c") + x = rearrange(x, "b c fr t1 -> b (t1 fr) c") + x = self.norm_in(x) + x = x + self.weight_pos_embed * pos_emb_2d + + B, C, T2 = xt.shape + xt = rearrange(xt, "b c t2 -> b t2 c") # now T2, B, C + pos_emb = self._get_pos_embedding(T2, B, C, x.device) + pos_emb = rearrange(pos_emb, "t2 b c -> b t2 c") + xt = self.norm_in_t(xt) + xt = xt + self.weight_pos_embed * pos_emb + + for idx in range(self.num_layers): + if idx % 2 == self.classic_parity: + x = self.layers[idx](x) + xt = self.layers_t[idx](xt) + else: + old_x = x + x = self.layers[idx](x, xt) + xt = self.layers_t[idx](xt, old_x) + + x = rearrange(x, "b (t1 fr) c -> b c fr t1", t1=T1) + xt = rearrange(xt, "b t2 c -> b c t2") + return x, xt + + def _get_pos_embedding(self, T, B, C, device): + if self.emb == "sin": + shift = random.randrange(self.sin_random_shift + 1) + pos_emb = create_sin_embedding( + T, C, shift=shift, device=device, max_period=self.max_period + ) + elif self.emb == "cape": + if self.training: + pos_emb = create_sin_embedding_cape( + T, + C, + B, + device=device, + max_period=self.max_period, + mean_normalize=self.cape_mean_normalize, + augment=self.cape_augment, + max_global_shift=self.cape_glob_loc_scale[0], + max_local_shift=self.cape_glob_loc_scale[1], + max_scale=self.cape_glob_loc_scale[2], + ) + else: + pos_emb = create_sin_embedding_cape( + T, + C, + B, + device=device, + max_period=self.max_period, + mean_normalize=self.cape_mean_normalize, + augment=False, + ) + + elif self.emb == "scaled": + pos = torch.arange(T, device=device) + pos_emb = self.position_embeddings(pos)[:, None] + + return pos_emb + + def make_optim_group(self): + group = {"params": list(self.parameters()), "weight_decay": self.weight_decay} + if self.lr is not None: + group["lr"] = self.lr + return group + + +# Attention Modules + + +class MultiheadAttention(nn.Module): + def __init__( + self, + embed_dim, + num_heads, + dropout=0.0, + bias=True, + add_bias_kv=False, + add_zero_attn=False, + kdim=None, + vdim=None, + batch_first=False, + auto_sparsity=None, + ): + super().__init__() + assert auto_sparsity is not None, "sanity check" + self.num_heads = num_heads + self.q = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.k = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.v = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.attn_drop = torch.nn.Dropout(dropout) + self.proj = torch.nn.Linear(embed_dim, embed_dim, bias) + self.proj_drop = torch.nn.Dropout(dropout) + self.batch_first = batch_first + self.auto_sparsity = auto_sparsity + + def forward( + self, + query, + key, + value, + key_padding_mask=None, + need_weights=True, + attn_mask=None, + average_attn_weights=True, + ): + + if not self.batch_first: # N, B, C + query = query.permute(1, 0, 2) # B, N_q, C + key = key.permute(1, 0, 2) # B, N_k, C + value = value.permute(1, 0, 2) # B, N_k, C + B, N_q, C = query.shape + B, N_k, C = key.shape + + q = ( + self.q(query) + .reshape(B, N_q, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + q = q.flatten(0, 1) + k = ( + self.k(key) + .reshape(B, N_k, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + k = k.flatten(0, 1) + v = ( + self.v(value) + .reshape(B, N_k, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + v = v.flatten(0, 1) + + if self.auto_sparsity: + assert attn_mask is None + x = dynamic_sparse_attention(q, k, v, sparsity=self.auto_sparsity) + else: + x = scaled_dot_product_attention(q, k, v, attn_mask, dropout=self.attn_drop) + x = x.reshape(B, self.num_heads, N_q, C // self.num_heads) + + x = x.transpose(1, 2).reshape(B, N_q, C) + x = self.proj(x) + x = self.proj_drop(x) + if not self.batch_first: + x = x.permute(1, 0, 2) + return x, None + + +def scaled_query_key_softmax(q, k, att_mask): + from xformers.ops import masked_matmul + q = q / (k.size(-1)) ** 0.5 + att = masked_matmul(q, k.transpose(-2, -1), att_mask) + att = torch.nn.functional.softmax(att, -1) + return att + + +def scaled_dot_product_attention(q, k, v, att_mask, dropout): + att = scaled_query_key_softmax(q, k, att_mask=att_mask) + att = dropout(att) + y = att @ v + return y + + +def _compute_buckets(x, R): + qq = torch.einsum('btf,bfhi->bhti', x, R) + qq = torch.cat([qq, -qq], dim=-1) + buckets = qq.argmax(dim=-1) + + return buckets.permute(0, 2, 1).byte().contiguous() + + +def dynamic_sparse_attention(query, key, value, sparsity, infer_sparsity=True, attn_bias=None): + # assert False, "The code for the custom sparse kernel is not ready for release yet." + from xformers.ops import find_locations, sparse_memory_efficient_attention + n_hashes = 32 + proj_size = 4 + query, key, value = [x.contiguous() for x in [query, key, value]] + with torch.no_grad(): + R = torch.randn(1, query.shape[-1], n_hashes, proj_size // 2, device=query.device) + bucket_query = _compute_buckets(query, R) + bucket_key = _compute_buckets(key, R) + row_offsets, column_indices = find_locations( + bucket_query, bucket_key, sparsity, infer_sparsity) + return sparse_memory_efficient_attention( + query, key, value, row_offsets, column_indices, attn_bias) diff --git a/ext/py/demucs/build/lib/demucs/utils.py b/ext/py/demucs/build/lib/demucs/utils.py new file mode 100644 index 0000000..a3f5993 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/utils.py @@ -0,0 +1,149 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from collections import defaultdict +from concurrent.futures import CancelledError +from contextlib import contextmanager +import math +import os +import tempfile +import typing as tp + +import torch +from torch.nn import functional as F +from torch.utils.data import Subset + + +def unfold(a, kernel_size, stride): + """Given input of size [*OT, T], output Tensor of size [*OT, F, K] + with K the kernel size, by extracting frames with the given stride. + + This will pad the input so that `F = ceil(T / K)`. + + see https://github.com/pytorch/pytorch/issues/60466 + """ + *shape, length = a.shape + n_frames = math.ceil(length / stride) + tgt_length = (n_frames - 1) * stride + kernel_size + a = F.pad(a, (0, tgt_length - length)) + strides = list(a.stride()) + assert strides[-1] == 1, 'data should be contiguous' + strides = strides[:-1] + [stride, 1] + return a.as_strided([*shape, n_frames, kernel_size], strides) + + +def center_trim(tensor: torch.Tensor, reference: tp.Union[torch.Tensor, int]): + """ + Center trim `tensor` with respect to `reference`, along the last dimension. + `reference` can also be a number, representing the length to trim to. + If the size difference != 0 mod 2, the extra sample is removed on the right side. + """ + ref_size: int + if isinstance(reference, torch.Tensor): + ref_size = reference.size(-1) + else: + ref_size = reference + delta = tensor.size(-1) - ref_size + if delta < 0: + raise ValueError("tensor must be larger than reference. " f"Delta is {delta}.") + if delta: + tensor = tensor[..., delta // 2:-(delta - delta // 2)] + return tensor + + +def pull_metric(history: tp.List[dict], name: str): + out = [] + for metrics in history: + metric = metrics + for part in name.split("."): + metric = metric[part] + out.append(metric) + return out + + +def EMA(beta: float = 1): + """ + Exponential Moving Average callback. + Returns a single function that can be called to repeatidly update the EMA + with a dict of metrics. The callback will return + the new averaged dict of metrics. + + Note that for `beta=1`, this is just plain averaging. + """ + fix: tp.Dict[str, float] = defaultdict(float) + total: tp.Dict[str, float] = defaultdict(float) + + def _update(metrics: dict, weight: float = 1) -> dict: + nonlocal total, fix + for key, value in metrics.items(): + total[key] = total[key] * beta + weight * float(value) + fix[key] = fix[key] * beta + weight + return {key: tot / fix[key] for key, tot in total.items()} + return _update + + +def sizeof_fmt(num: float, suffix: str = 'B'): + """ + Given `num` bytes, return human readable size. + Taken from https://stackoverflow.com/a/1094933 + """ + for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']: + if abs(num) < 1024.0: + return "%3.1f%s%s" % (num, unit, suffix) + num /= 1024.0 + return "%.1f%s%s" % (num, 'Yi', suffix) + + +@contextmanager +def temp_filenames(count: int, delete=True): + names = [] + try: + for _ in range(count): + names.append(tempfile.NamedTemporaryFile(delete=False).name) + yield names + finally: + if delete: + for name in names: + os.unlink(name) + + +def random_subset(dataset, max_samples: int, seed: int = 42): + if max_samples >= len(dataset): + return dataset + + generator = torch.Generator().manual_seed(seed) + perm = torch.randperm(len(dataset), generator=generator) + return Subset(dataset, perm[:max_samples].tolist()) + + +class DummyPoolExecutor: + class DummyResult: + def __init__(self, func, _dict, *args, **kwargs): + self.func = func + self._dict = _dict + self.args = args + self.kwargs = kwargs + + def result(self): + if self._dict["run"]: + return self.func(*self.args, **self.kwargs) + else: + raise CancelledError() + + def __init__(self, workers=0): + self._dict = {"run": True} + + def submit(self, func, *args, **kwargs): + return DummyPoolExecutor.DummyResult(func, self._dict, *args, **kwargs) + + def shutdown(self, *_, **__): + self._dict["run"] = False + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, exc_tb): + return diff --git a/ext/py/demucs/build/lib/demucs/wav.py b/ext/py/demucs/build/lib/demucs/wav.py new file mode 100644 index 0000000..ca1e23a --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/wav.py @@ -0,0 +1,255 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Loading wav based datasets, including MusdbHQ.""" + +from collections import OrderedDict +import hashlib +import math +import json +import os +from pathlib import Path +import tqdm + +import musdb +import julius +from . import audio_legacy +import torch as th +from torch import distributed +import torchaudio as ta +from torch.nn import functional as F + +from .audio import convert_audio_channels +from . import distrib + +MIXTURE = "mixture" +EXT = ".wav" + + +def _track_metadata(track, sources, normalize=True, ext=EXT): + track_length = None + track_samplerate = None + mean = 0 + std = 1 + for source in sources + [MIXTURE]: + file = track / f"{source}{ext}" + if source == MIXTURE and not file.exists(): + audio = 0 + for sub_source in sources: + sub_file = track / f"{sub_source}{ext}" + sub_audio, sr = ta.load(sub_file) + audio += sub_audio + would_clip = audio.abs().max() >= 1 + if would_clip: + assert ta.get_audio_backend() == 'soundfile', 'use dset.backend=soundfile' + ta.save(file, audio, sr, encoding='PCM_F') + + try: + info = ta.info(str(file)) + except RuntimeError: + print(file) + raise + length = info.num_frames + if track_length is None: + track_length = length + track_samplerate = info.sample_rate + elif track_length != length: + raise ValueError( + f"Invalid length for file {file}: " + f"expecting {track_length} but got {length}.") + elif info.sample_rate != track_samplerate: + raise ValueError( + f"Invalid sample rate for file {file}: " + f"expecting {track_samplerate} but got {info.sample_rate}.") + if source == MIXTURE and normalize: + try: + wav, _ = ta.load(str(file)) + except RuntimeError: + print(file) + raise + wav = wav.mean(0) + mean = wav.mean().item() + std = wav.std().item() + + return {"length": length, "mean": mean, "std": std, "samplerate": track_samplerate} + + +def build_metadata(path, sources, normalize=True, ext=EXT): + """ + Build the metadata for `Wavset`. + + Args: + path (str or Path): path to dataset. + sources (list[str]): list of sources to look for. + normalize (bool): if True, loads full track and store normalization + values based on the mixture file. + ext (str): extension of audio files (default is .wav). + """ + + meta = {} + path = Path(path) + pendings = [] + from concurrent.futures import ThreadPoolExecutor + with ThreadPoolExecutor(8) as pool: + for root, folders, files in os.walk(path, followlinks=True): + root = Path(root) + if root.name.startswith('.') or folders or root == path: + continue + name = str(root.relative_to(path)) + pendings.append((name, pool.submit(_track_metadata, root, sources, normalize, ext))) + # meta[name] = _track_metadata(root, sources, normalize, ext) + for name, pending in tqdm.tqdm(pendings, ncols=120): + meta[name] = pending.result() + return meta + + +class Wavset: + def __init__( + self, + root, metadata, sources, + segment=None, shift=None, normalize=True, + samplerate=44100, channels=2, ext=EXT): + """ + Waveset (or mp3 set for that matter). Can be used to train + with arbitrary sources. Each track should be one folder inside of `path`. + The folder should contain files named `{source}.{ext}`. + + Args: + root (Path or str): root folder for the dataset. + metadata (dict): output from `build_metadata`. + sources (list[str]): list of source names. + segment (None or float): segment length in seconds. If `None`, returns entire tracks. + shift (None or float): stride in seconds bewteen samples. + normalize (bool): normalizes input audio, **based on the metadata content**, + i.e. the entire track is normalized, not individual extracts. + samplerate (int): target sample rate. if the file sample rate + is different, it will be resampled on the fly. + channels (int): target nb of channels. if different, will be + changed onthe fly. + ext (str): extension for audio files (default is .wav). + + samplerate and channels are converted on the fly. + """ + self.root = Path(root) + self.metadata = OrderedDict(metadata) + self.segment = segment + self.shift = shift or segment + self.normalize = normalize + self.sources = sources + self.channels = channels + self.samplerate = samplerate + self.ext = ext + self.num_examples = [] + for name, meta in self.metadata.items(): + track_duration = meta['length'] / meta['samplerate'] + if segment is None or track_duration < segment: + examples = 1 + else: + examples = int(math.ceil((track_duration - self.segment) / self.shift) + 1) + self.num_examples.append(examples) + + def __len__(self): + return sum(self.num_examples) + + def get_file(self, name, source): + return self.root / name / f"{source}{self.ext}" + + def __getitem__(self, index): + for name, examples in zip(self.metadata, self.num_examples): + if index >= examples: + index -= examples + continue + meta = self.metadata[name] + num_frames = -1 + offset = 0 + if self.segment is not None: + offset = int(meta['samplerate'] * self.shift * index) + num_frames = int(math.ceil(meta['samplerate'] * self.segment)) + wavs = [] + for source in self.sources: + file = self.get_file(name, source) + wav, _ = ta.load(str(file), frame_offset=offset, num_frames=num_frames) + wav = convert_audio_channels(wav, self.channels) + wavs.append(wav) + + example = th.stack(wavs) + example = julius.resample_frac(example, meta['samplerate'], self.samplerate) + if self.normalize: + example = (example - meta['mean']) / meta['std'] + if self.segment: + length = int(self.segment * self.samplerate) + example = example[..., :length] + example = F.pad(example, (0, length - example.shape[-1])) + return example + + +def get_wav_datasets(args, name='wav'): + """Extract the wav datasets from the XP arguments.""" + path = getattr(args, name) + sig = hashlib.sha1(str(path).encode()).hexdigest()[:8] + metadata_file = Path(args.metadata) / ('wav_' + sig + ".json") + train_path = Path(path) / "train" + valid_path = Path(path) / "valid" + if not metadata_file.is_file() and distrib.rank == 0: + metadata_file.parent.mkdir(exist_ok=True, parents=True) + train = build_metadata(train_path, args.sources) + valid = build_metadata(valid_path, args.sources) + json.dump([train, valid], open(metadata_file, "w")) + if distrib.world_size > 1: + distributed.barrier() + train, valid = json.load(open(metadata_file)) + if args.full_cv: + kw_cv = {} + else: + kw_cv = {'segment': args.segment, 'shift': args.shift} + train_set = Wavset(train_path, train, args.sources, + segment=args.segment, shift=args.shift, + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize) + valid_set = Wavset(valid_path, valid, [MIXTURE] + list(args.sources), + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize, **kw_cv) + return train_set, valid_set + + +def _get_musdb_valid(): + # Return musdb valid set. + import yaml + setup_path = Path(musdb.__path__[0]) / 'configs' / 'mus.yaml' + setup = yaml.safe_load(open(setup_path, 'r')) + return setup['validation_tracks'] + + +def get_musdb_wav_datasets(args): + """Extract the musdb dataset from the XP arguments.""" + sig = hashlib.sha1(str(args.musdb).encode()).hexdigest()[:8] + metadata_file = Path(args.metadata) / ('musdb_' + sig + ".json") + root = Path(args.musdb) / "train" + if not metadata_file.is_file() and distrib.rank == 0: + metadata_file.parent.mkdir(exist_ok=True, parents=True) + metadata = build_metadata(root, args.sources) + json.dump(metadata, open(metadata_file, "w")) + if distrib.world_size > 1: + distributed.barrier() + metadata = json.load(open(metadata_file)) + + valid_tracks = _get_musdb_valid() + if args.train_valid: + metadata_train = metadata + else: + metadata_train = {name: meta for name, meta in metadata.items() if name not in valid_tracks} + metadata_valid = {name: meta for name, meta in metadata.items() if name in valid_tracks} + if args.full_cv: + kw_cv = {} + else: + kw_cv = {'segment': args.segment, 'shift': args.shift} + train_set = Wavset(root, metadata_train, args.sources, + segment=args.segment, shift=args.shift, + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize) + valid_set = Wavset(root, metadata_valid, [MIXTURE] + list(args.sources), + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize, **kw_cv) + return train_set, valid_set diff --git a/ext/py/demucs/build/lib/demucs/wdemucs.py b/ext/py/demucs/build/lib/demucs/wdemucs.py new file mode 100644 index 0000000..03d6dd3 --- /dev/null +++ b/ext/py/demucs/build/lib/demucs/wdemucs.py @@ -0,0 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# For compat +from .hdemucs import HDemucs + +WDemucs = HDemucs diff --git a/ext/py/demucs/conf/config.yaml b/ext/py/demucs/conf/config.yaml new file mode 100644 index 0000000..d2597cb --- /dev/null +++ b/ext/py/demucs/conf/config.yaml @@ -0,0 +1,304 @@ +defaults: + - _self_ + - dset: musdb44 + - svd: default + - variant: default + - override hydra/hydra_logging: colorlog + - override hydra/job_logging: colorlog + +dummy: +dset: + musdb: /checkpoint/defossez/datasets/musdbhq + musdb_samplerate: 44100 + use_musdb: true # set to false to not use musdb as training data. + wav: # path to custom wav dataset + wav2: # second custom wav dataset + segment: 11 + shift: 1 + train_valid: false + full_cv: true + samplerate: 44100 + channels: 2 + normalize: true + metadata: ./metadata + sources: ['drums', 'bass', 'other', 'vocals'] + valid_samples: # valid dataset size + backend: null # if provided select torchaudio backend. + +test: + save: False + best: True + workers: 2 + every: 20 + split: true + shifts: 1 + overlap: 0.25 + sdr: true + metric: 'loss' # metric used for best model selection on the valid set, can also be nsdr + nonhq: # path to non hq MusDB for evaluation + +epochs: 360 +batch_size: 64 +max_batches: # limit the number of batches per epoch, useful for debugging + # or if your dataset is gigantic. +optim: + lr: 3e-4 + momentum: 0.9 + beta2: 0.999 + loss: l1 # l1 or mse + optim: adam + weight_decay: 0 + clip_grad: 0 + +seed: 42 +debug: false +valid_apply: true +flag: +save_every: +weights: [1., 1., 1., 1.] # weights over each source for the training/valid loss. + +augment: + shift_same: false + repitch: + proba: 0.2 + max_tempo: 12 + remix: + proba: 1 + group_size: 4 + scale: + proba: 1 + min: 0.25 + max: 1.25 + flip: true + +continue_from: # continue from other XP, give the XP Dora signature. +continue_pretrained: # signature of a pretrained XP, this cannot be a bag of models. +pretrained_repo: # repo for pretrained model (default is official AWS) +continue_best: true +continue_opt: false + +misc: + num_workers: 10 + num_prints: 4 + show: false + verbose: false + +# List of decay for EMA at batch or epoch level, e.g. 0.999. +# Batch level EMA are kept on GPU for speed. +ema: + epoch: [] + batch: [] + +use_train_segment: true # to remove +model_segment: # override the segment parameter for the model, usually 4 times the training segment. +model: demucs # see demucs/train.py for the possibilities, and config for each model hereafter. +demucs: # see demucs/demucs.py for a detailed description + # Channels + channels: 64 + growth: 2 + # Main structure + depth: 6 + rewrite: true + lstm_layers: 0 + # Convolutions + kernel_size: 8 + stride: 4 + context: 1 + # Activations + gelu: true + glu: true + # Normalization + norm_groups: 4 + norm_starts: 4 + # DConv residual branch + dconv_depth: 2 + dconv_mode: 1 # 1 = branch in encoder, 2 = in decoder, 3 = in both. + dconv_comp: 4 + dconv_attn: 4 + dconv_lstm: 4 + dconv_init: 1e-4 + # Pre/post treatment + resample: true + normalize: false + # Weight init + rescale: 0.1 + +hdemucs: # see demucs/hdemucs.py for a detailed description + # Channels + channels: 48 + channels_time: + growth: 2 + # STFT + nfft: 4096 + wiener_iters: 0 + end_iters: 0 + wiener_residual: false + cac: true + # Main structure + depth: 6 + rewrite: true + hybrid: true + hybrid_old: false + # Frequency Branch + multi_freqs: [] + multi_freqs_depth: 3 + freq_emb: 0.2 + emb_scale: 10 + emb_smooth: true + # Convolutions + kernel_size: 8 + stride: 4 + time_stride: 2 + context: 1 + context_enc: 0 + # normalization + norm_starts: 4 + norm_groups: 4 + # DConv residual branch + dconv_mode: 1 + dconv_depth: 2 + dconv_comp: 4 + dconv_attn: 4 + dconv_lstm: 4 + dconv_init: 1e-3 + # Weight init + rescale: 0.1 + +# Torchaudio implementation of HDemucs +torch_hdemucs: +# Channels + channels: 48 + growth: 2 + # STFT + nfft: 4096 + # Main structure + depth: 6 + freq_emb: 0.2 + emb_scale: 10 + emb_smooth: true + # Convolutions + kernel_size: 8 + stride: 4 + time_stride: 2 + context: 1 + context_enc: 0 + # normalization + norm_starts: 4 + norm_groups: 4 + # DConv residual branch + dconv_depth: 2 + dconv_comp: 4 + dconv_attn: 4 + dconv_lstm: 4 + dconv_init: 1e-3 + +htdemucs: # see demucs/htdemucs.py for a detailed description + # Channels + channels: 48 + channels_time: + growth: 2 + # STFT + nfft: 4096 + wiener_iters: 0 + end_iters: 0 + wiener_residual: false + cac: true + # Main structure + depth: 4 + rewrite: true + # Frequency Branch + multi_freqs: [] + multi_freqs_depth: 3 + freq_emb: 0.2 + emb_scale: 10 + emb_smooth: true + # Convolutions + kernel_size: 8 + stride: 4 + time_stride: 2 + context: 1 + context_enc: 0 + # normalization + norm_starts: 4 + norm_groups: 4 + # DConv residual branch + dconv_mode: 1 + dconv_depth: 2 + dconv_comp: 8 + dconv_init: 1e-3 + # Before the Transformer + bottom_channels: 0 + # CrossTransformer + # ------ Common to all + # Regular parameters + t_layers: 5 + t_hidden_scale: 4.0 + t_heads: 8 + t_dropout: 0.0 + t_layer_scale: True + t_gelu: True + # ------------- Positional Embedding + t_emb: sin + t_max_positions: 10000 # for the scaled embedding + t_max_period: 10000.0 + t_weight_pos_embed: 1.0 + t_cape_mean_normalize: True + t_cape_augment: True + t_cape_glob_loc_scale: [5000.0, 1.0, 1.4] + t_sin_random_shift: 0 + # ------------- norm before a transformer encoder + t_norm_in: True + t_norm_in_group: False + # ------------- norm inside the encoder + t_group_norm: False + t_norm_first: True + t_norm_out: True + # ------------- optim + t_weight_decay: 0.0 + t_lr: + # ------------- sparsity + t_sparse_self_attn: False + t_sparse_cross_attn: False + t_mask_type: diag + t_mask_random_seed: 42 + t_sparse_attn_window: 400 + t_global_window: 100 + t_sparsity: 0.95 + t_auto_sparsity: False + # Cross Encoder First (False) + t_cross_first: False + # Weight init + rescale: 0.1 + +svd: # see svd.py for documentation + penalty: 0 + min_size: 0.1 + dim: 1 + niters: 2 + powm: false + proba: 1 + conv_only: false + convtr: false + bs: 1 + +quant: # quantization hyper params + diffq: # diffq penalty, typically 1e-4 or 3e-4 + qat: # use QAT with a fixed number of bits (not as good as diffq) + min_size: 0.2 + group_size: 8 + +dora: + dir: outputs + exclude: ["misc.*", "slurm.*", 'test.reval', 'flag', 'dset.backend'] + +slurm: + time: 4320 + constraint: volta32gb + setup: ['module load cudnn/v8.4.1.50-cuda.11.6 NCCL/2.11.4-6-cuda.11.6 cuda/11.6'] + +# Hydra config +hydra: + job_logging: + formatters: + colorlog: + datefmt: "%m-%d %H:%M:%S" diff --git a/ext/py/demucs/conf/dset/aetl.yaml b/ext/py/demucs/conf/dset/aetl.yaml new file mode 100644 index 0000000..7c98316 --- /dev/null +++ b/ext/py/demucs/conf/dset/aetl.yaml @@ -0,0 +1,19 @@ +# @package _global_ + +# automix dataset with Musdb, extra training data and the test set of Musdb. +# This used even more remixes than auto_extra_test. +dset: + wav: /checkpoint/defossez/datasets/aetl + samplerate: 44100 + channels: 2 +epochs: 320 +max_batches: 500 + +augment: + shift_same: true + scale: + proba: 0. + remix: + proba: 0 + repitch: + proba: 0 diff --git a/ext/py/demucs/conf/dset/auto_extra_test.yaml b/ext/py/demucs/conf/dset/auto_extra_test.yaml new file mode 100644 index 0000000..056183a --- /dev/null +++ b/ext/py/demucs/conf/dset/auto_extra_test.yaml @@ -0,0 +1,18 @@ +# @package _global_ + +# automix dataset with Musdb, extra training data and the test set of Musdb. +dset: + wav: /checkpoint/defossez/datasets/automix_extra_test2 + samplerate: 44100 + channels: 2 +epochs: 320 +max_batches: 500 + +augment: + shift_same: true + scale: + proba: 0. + remix: + proba: 0 + repitch: + proba: 0 diff --git a/ext/py/demucs/conf/dset/auto_mus.yaml b/ext/py/demucs/conf/dset/auto_mus.yaml new file mode 100644 index 0000000..9a2d9df --- /dev/null +++ b/ext/py/demucs/conf/dset/auto_mus.yaml @@ -0,0 +1,20 @@ +# @package _global_ + +# Automix dataset based on musdb train set. +dset: + wav: /checkpoint/defossez/datasets/automix_musdb + samplerate: 44100 + channels: 2 +epochs: 360 +max_batches: 300 +test: + every: 4 + +augment: + shift_same: true + scale: + proba: 0.5 + remix: + proba: 0 + repitch: + proba: 0 diff --git a/ext/py/demucs/conf/dset/extra44.yaml b/ext/py/demucs/conf/dset/extra44.yaml new file mode 100644 index 0000000..f0adc46 --- /dev/null +++ b/ext/py/demucs/conf/dset/extra44.yaml @@ -0,0 +1,8 @@ +# @package _global_ + +# Musdb + extra tracks +dset: + wav: /checkpoint/defossez/datasets/allstems_44/ + samplerate: 44100 + channels: 2 +epochs: 320 diff --git a/ext/py/demucs/conf/dset/extra_mmi_goodclean.yaml b/ext/py/demucs/conf/dset/extra_mmi_goodclean.yaml new file mode 100644 index 0000000..fe47bcf --- /dev/null +++ b/ext/py/demucs/conf/dset/extra_mmi_goodclean.yaml @@ -0,0 +1,12 @@ +# @package _global_ + +# Musdb + extra tracks +dset: + wav: /checkpoint/defossez/datasets/allstems_44/ + wav2: /checkpoint/defossez/datasets/mmi44_goodclean + samplerate: 44100 + channels: 2 + wav2_weight: null + wav2_valid: false + valid_samples: 100 +epochs: 1200 diff --git a/ext/py/demucs/conf/dset/extra_test.yaml b/ext/py/demucs/conf/dset/extra_test.yaml new file mode 100644 index 0000000..1e7d05a --- /dev/null +++ b/ext/py/demucs/conf/dset/extra_test.yaml @@ -0,0 +1,12 @@ +# @package _global_ + +# Musdb + extra tracks + test set from musdb. +dset: + wav: /checkpoint/defossez/datasets/allstems_test_44/ + samplerate: 44100 + channels: 2 +epochs: 320 +max_batches: 700 +test: + sdr: false + every: 500 diff --git a/ext/py/demucs/conf/dset/musdb44.yaml b/ext/py/demucs/conf/dset/musdb44.yaml new file mode 100644 index 0000000..c562346 --- /dev/null +++ b/ext/py/demucs/conf/dset/musdb44.yaml @@ -0,0 +1,5 @@ +# @package _global_ + +dset: + samplerate: 44100 + channels: 2 \ No newline at end of file diff --git a/ext/py/demucs/conf/dset/sdx23_bleeding.yaml b/ext/py/demucs/conf/dset/sdx23_bleeding.yaml new file mode 100644 index 0000000..5f7fd1e --- /dev/null +++ b/ext/py/demucs/conf/dset/sdx23_bleeding.yaml @@ -0,0 +1,10 @@ +# @package _global_ + +# Musdb + extra tracks +dset: + wav: /shared/home/defossez/data/datasets/moisesdb23_bleeding_v1.0/ + use_musdb: false + samplerate: 44100 + channels: 2 + backend: soundfile # must use soundfile as some mixture would clip with sox. +epochs: 320 diff --git a/ext/py/demucs/conf/dset/sdx23_labelnoise.yaml b/ext/py/demucs/conf/dset/sdx23_labelnoise.yaml new file mode 100644 index 0000000..367769e --- /dev/null +++ b/ext/py/demucs/conf/dset/sdx23_labelnoise.yaml @@ -0,0 +1,10 @@ +# @package _global_ + +# Musdb + extra tracks +dset: + wav: /shared/home/defossez/data/datasets/moisesdb23_labelnoise_v1.0 + use_musdb: false + samplerate: 44100 + channels: 2 + backend: soundfile # must use soundfile as some mixture would clip with sox. +epochs: 320 diff --git a/ext/py/demucs/conf/svd/base.yaml b/ext/py/demucs/conf/svd/base.yaml new file mode 100644 index 0000000..e4de868 --- /dev/null +++ b/ext/py/demucs/conf/svd/base.yaml @@ -0,0 +1,14 @@ +# @package _global_ + +svd: + penalty: 0 + min_size: 1 + dim: 50 + niters: 4 + powm: false + proba: 1 + conv_only: false + convtr: false # ideally this should be true, but some models were trained with this to false. + +optim: + beta2: 0.9998 \ No newline at end of file diff --git a/ext/py/demucs/conf/svd/base2.yaml b/ext/py/demucs/conf/svd/base2.yaml new file mode 100644 index 0000000..b88a751 --- /dev/null +++ b/ext/py/demucs/conf/svd/base2.yaml @@ -0,0 +1,14 @@ +# @package _global_ + +svd: + penalty: 0 + min_size: 1 + dim: 100 + niters: 4 + powm: false + proba: 1 + conv_only: false + convtr: true + +optim: + beta2: 0.9998 \ No newline at end of file diff --git a/ext/py/demucs/conf/svd/default.yaml b/ext/py/demucs/conf/svd/default.yaml new file mode 100644 index 0000000..03bfe3d --- /dev/null +++ b/ext/py/demucs/conf/svd/default.yaml @@ -0,0 +1 @@ +# @package _global_ diff --git a/ext/py/demucs/conf/variant/default.yaml b/ext/py/demucs/conf/variant/default.yaml new file mode 100644 index 0000000..03bfe3d --- /dev/null +++ b/ext/py/demucs/conf/variant/default.yaml @@ -0,0 +1 @@ +# @package _global_ diff --git a/ext/py/demucs/conf/variant/example.yaml b/ext/py/demucs/conf/variant/example.yaml new file mode 100644 index 0000000..9b38aec --- /dev/null +++ b/ext/py/demucs/conf/variant/example.yaml @@ -0,0 +1,5 @@ +# @package _global_ + +model: hdemucs +hdemucs: + channels: 32 \ No newline at end of file diff --git a/ext/py/demucs/conf/variant/finetune.yaml b/ext/py/demucs/conf/variant/finetune.yaml new file mode 100644 index 0000000..c3ea21e --- /dev/null +++ b/ext/py/demucs/conf/variant/finetune.yaml @@ -0,0 +1,19 @@ +# @package _global_ + +epochs: 4 +batch_size: 16 +optim: + lr: 0.0006 +test: + every: 1 + sdr: false +dset: + segment: 28 + shift: 2 + +augment: + scale: + proba: 0 + shift_same: true + remix: + proba: 0 diff --git a/ext/py/demucs/demucs.egg-info/PKG-INFO b/ext/py/demucs/demucs.egg-info/PKG-INFO new file mode 100644 index 0000000..698e20d --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/PKG-INFO @@ -0,0 +1,54 @@ +Metadata-Version: 2.4 +Name: demucs +Version: 4.1.0 +Summary: Music source separation in the waveform domain. +Home-page: https://github.com/facebookresearch/demucs +Author: Alexandre Défossez +Author-email: defossez@fb.com +License: MIT License +Classifier: License :: OSI Approved :: MIT License +Classifier: Topic :: Multimedia :: Sound/Audio +Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence +Requires-Python: >=3.8.0 +Description-Content-Type: text/markdown +Requires-Dist: dora-search +Requires-Dist: einops +Requires-Dist: julius +Requires-Dist: lameenc +Requires-Dist: openunmix +Requires-Dist: pyyaml +Requires-Dist: torch +Requires-Dist: torchaudio +Requires-Dist: tqdm +Provides-Extra: dev +Requires-Dist: dora-search; extra == "dev" +Requires-Dist: diffq; extra == "dev" +Requires-Dist: einops; extra == "dev" +Requires-Dist: flake8; extra == "dev" +Requires-Dist: hydra-colorlog; extra == "dev" +Requires-Dist: hydra-core; extra == "dev" +Requires-Dist: julius; extra == "dev" +Requires-Dist: lameenc; extra == "dev" +Requires-Dist: museval; extra == "dev" +Requires-Dist: mypy; extra == "dev" +Requires-Dist: openunmix; extra == "dev" +Requires-Dist: pyyaml; extra == "dev" +Requires-Dist: submitit; extra == "dev" +Requires-Dist: torch; extra == "dev" +Requires-Dist: torchaudio; extra == "dev" +Requires-Dist: tqdm; extra == "dev" +Requires-Dist: treetable; extra == "dev" +Requires-Dist: soundfile; extra == "dev" +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: description +Dynamic: description-content-type +Dynamic: home-page +Dynamic: license +Dynamic: provides-extra +Dynamic: requires-dist +Dynamic: requires-python +Dynamic: summary + +Music source separation in the waveform domain. diff --git a/ext/py/demucs/demucs.egg-info/SOURCES.txt b/ext/py/demucs/demucs.egg-info/SOURCES.txt new file mode 100644 index 0000000..fa6b19c --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/SOURCES.txt @@ -0,0 +1,68 @@ +MANIFEST.in +Makefile +mypy.ini +requirements.txt +requirements_minimal.txt +setup.cfg +setup.py +conf/config.yaml +conf/dset/aetl.yaml +conf/dset/auto_extra_test.yaml +conf/dset/auto_mus.yaml +conf/dset/extra44.yaml +conf/dset/extra_mmi_goodclean.yaml +conf/dset/extra_test.yaml +conf/dset/musdb44.yaml +conf/dset/sdx23_bleeding.yaml +conf/dset/sdx23_labelnoise.yaml +conf/svd/base.yaml +conf/svd/base2.yaml +conf/svd/default.yaml +conf/variant/default.yaml +conf/variant/example.yaml +conf/variant/finetune.yaml +demucs/__init__.py +demucs/__main__.py +demucs/api.py +demucs/apply.py +demucs/audio.py +demucs/audio_legacy.py +demucs/augment.py +demucs/demucs.py +demucs/distrib.py +demucs/ema.py +demucs/evaluate.py +demucs/hdemucs.py +demucs/htdemucs.py +demucs/pretrained.py +demucs/py.typed +demucs/repitch.py +demucs/repo.py +demucs/separate.py +demucs/solver.py +demucs/spec.py +demucs/states.py +demucs/svd.py +demucs/train.py +demucs/transformer.py +demucs/utils.py +demucs/wav.py +demucs/wdemucs.py +demucs.egg-info/PKG-INFO +demucs.egg-info/SOURCES.txt +demucs.egg-info/dependency_links.txt +demucs.egg-info/entry_points.txt +demucs.egg-info/requires.txt +demucs.egg-info/top_level.txt +demucs/remote/files.txt +demucs/remote/hdemucs_mmi.yaml +demucs/remote/htdemucs.yaml +demucs/remote/htdemucs_6s.yaml +demucs/remote/htdemucs_ft.yaml +demucs/remote/mdx.yaml +demucs/remote/mdx_extra.yaml +demucs/remote/mdx_extra_q.yaml +demucs/remote/mdx_q.yaml +demucs/remote/repro_mdx_a.yaml +demucs/remote/repro_mdx_a_hybrid_only.yaml +demucs/remote/repro_mdx_a_time_only.yaml \ No newline at end of file diff --git a/ext/py/demucs/demucs.egg-info/dependency_links.txt b/ext/py/demucs/demucs.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/ext/py/demucs/demucs.egg-info/entry_points.txt b/ext/py/demucs/demucs.egg-info/entry_points.txt new file mode 100644 index 0000000..3def845 --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +demucs = demucs.separate:main diff --git a/ext/py/demucs/demucs.egg-info/requires.txt b/ext/py/demucs/demucs.egg-info/requires.txt new file mode 100644 index 0000000..482ccbb --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/requires.txt @@ -0,0 +1,29 @@ +dora-search +einops +julius +lameenc +openunmix +pyyaml +torch +torchaudio +tqdm + +[dev] +dora-search +diffq +einops +flake8 +hydra-colorlog +hydra-core +julius +lameenc +museval +mypy +openunmix +pyyaml +submitit +torch +torchaudio +tqdm +treetable +soundfile diff --git a/ext/py/demucs/demucs.egg-info/top_level.txt b/ext/py/demucs/demucs.egg-info/top_level.txt new file mode 100644 index 0000000..b35ba4c --- /dev/null +++ b/ext/py/demucs/demucs.egg-info/top_level.txt @@ -0,0 +1 @@ +demucs diff --git a/ext/py/demucs/demucs/__init__.py b/ext/py/demucs/demucs/__init__.py new file mode 100644 index 0000000..5945c7d --- /dev/null +++ b/ext/py/demucs/demucs/__init__.py @@ -0,0 +1,7 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +__version__ = "4.1.0" diff --git a/ext/py/demucs/demucs/__main__.py b/ext/py/demucs/demucs/__main__.py new file mode 100644 index 0000000..da0a541 --- /dev/null +++ b/ext/py/demucs/demucs/__main__.py @@ -0,0 +1,10 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from .separate import main + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/demucs/api.py b/ext/py/demucs/demucs/api.py new file mode 100644 index 0000000..ee8a512 --- /dev/null +++ b/ext/py/demucs/demucs/api.py @@ -0,0 +1,393 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""API methods for demucs + +Classes +------- +`demucs.api.Separator`: The base separator class + +Functions +--------- +`demucs.api.save_audio`: Save an audio +`demucs.api.list_models`: Get models list + +Examples +-------- +See the end of this module (if __name__ == "__main__") +""" + +import subprocess + +from . import audio_legacy +import torch as th +import torchaudio as ta + +from dora.log import fatal +from pathlib import Path +from typing import Optional, Callable, Dict, Tuple, Union + +from .apply import apply_model, _replace_dict +from .audio import AudioFile, convert_audio, save_audio +from .pretrained import get_model, _parse_remote_files, REMOTE_ROOT +from .repo import RemoteRepo, LocalRepo, ModelOnlyRepo, BagOnlyRepo + + +class LoadAudioError(Exception): + pass + + +class LoadModelError(Exception): + pass + + +class _NotProvided: + pass + + +NotProvided = _NotProvided() + + +class Separator: + def __init__( + self, + model: str = "htdemucs", + repo: Optional[Path] = None, + device: str = "cuda" if th.cuda.is_available() else "cpu", + shifts: int = 1, + overlap: float = 0.25, + split: bool = True, + segment: Optional[int] = None, + jobs: int = 0, + progress: bool = False, + callback: Optional[Callable[[dict], None]] = None, + callback_arg: Optional[dict] = None, + ): + """ + `class Separator` + ================= + + Parameters + ---------- + model: Pretrained model name or signature. Default is htdemucs. + repo: Folder containing all pre-trained models for use. + segment: Length (in seconds) of each segment (only available if `split` is `True`). If \ + not specified, will use the command line option. + shifts: If > 0, will shift in time `wav` by a random amount between 0 and 0.5 sec and \ + apply the oppositve shift to the output. This is repeated `shifts` time and all \ + predictions are averaged. This effectively makes the model time equivariant and \ + improves SDR by up to 0.2 points. If not specified, will use the command line option. + split: If True, the input will be broken down into small chunks (length set by `segment`) \ + and predictions will be performed individually on each and concatenated. Useful for \ + model with large memory footprint like Tasnet. If not specified, will use the command \ + line option. + overlap: The overlap between the splits. If not specified, will use the command line \ + option. + device (torch.device, str, or None): If provided, device on which to execute the \ + computation, otherwise `wav.device` is assumed. When `device` is different from \ + `wav.device`, only local computations will be on `device`, while the entire tracks \ + will be stored on `wav.device`. If not specified, will use the command line option. + jobs: Number of jobs. This can increase memory usage but will be much faster when \ + multiple cores are available. If not specified, will use the command line option. + callback: A function will be called when the separation of a chunk starts or finished. \ + The argument passed to the function will be a dict. For more information, please see \ + the Callback section. + callback_arg: A dict containing private parameters to be passed to callback function. For \ + more information, please see the Callback section. + progress: If true, show a progress bar. + + Callback + -------- + The function will be called with only one positional parameter whose type is `dict`. The + `callback_arg` will be combined with information of current separation progress. The + progress information will override the values in `callback_arg` if same key has been used. + To abort the separation, raise `KeyboardInterrupt`. + + Progress information contains several keys (These keys will always exist): + - `model_idx_in_bag`: The index of the submodel in `BagOfModels`. Starts from 0. + - `shift_idx`: The index of shifts. Starts from 0. + - `segment_offset`: The offset of current segment. If the number is 441000, it doesn't + mean that it is at the 441000 second of the audio, but the "frame" of the tensor. + - `state`: Could be `"start"` or `"end"`. + - `audio_length`: Length of the audio (in "frame" of the tensor). + - `models`: Count of submodels in the model. + """ + self._name = model + self._repo = repo + self._load_model() + self.update_parameter(device=device, shifts=shifts, overlap=overlap, split=split, + segment=segment, jobs=jobs, progress=progress, callback=callback, + callback_arg=callback_arg) + + def update_parameter( + self, + device: Union[str, _NotProvided] = NotProvided, + shifts: Union[int, _NotProvided] = NotProvided, + overlap: Union[float, _NotProvided] = NotProvided, + split: Union[bool, _NotProvided] = NotProvided, + segment: Optional[Union[int, _NotProvided]] = NotProvided, + jobs: Union[int, _NotProvided] = NotProvided, + progress: Union[bool, _NotProvided] = NotProvided, + callback: Optional[ + Union[Callable[[dict], None], _NotProvided] + ] = NotProvided, + callback_arg: Optional[Union[dict, _NotProvided]] = NotProvided, + ): + """ + Update the parameters of separation. + + Parameters + ---------- + segment: Length (in seconds) of each segment (only available if `split` is `True`). If \ + not specified, will use the command line option. + shifts: If > 0, will shift in time `wav` by a random amount between 0 and 0.5 sec and \ + apply the oppositve shift to the output. This is repeated `shifts` time and all \ + predictions are averaged. This effectively makes the model time equivariant and \ + improves SDR by up to 0.2 points. If not specified, will use the command line option. + split: If True, the input will be broken down into small chunks (length set by `segment`) \ + and predictions will be performed individually on each and concatenated. Useful for \ + model with large memory footprint like Tasnet. If not specified, will use the command \ + line option. + overlap: The overlap between the splits. If not specified, will use the command line \ + option. + device (torch.device, str, or None): If provided, device on which to execute the \ + computation, otherwise `wav.device` is assumed. When `device` is different from \ + `wav.device`, only local computations will be on `device`, while the entire tracks \ + will be stored on `wav.device`. If not specified, will use the command line option. + jobs: Number of jobs. This can increase memory usage but will be much faster when \ + multiple cores are available. If not specified, will use the command line option. + callback: A function will be called when the separation of a chunk starts or finished. \ + The argument passed to the function will be a dict. For more information, please see \ + the Callback section. + callback_arg: A dict containing private parameters to be passed to callback function. For \ + more information, please see the Callback section. + progress: If true, show a progress bar. + + Callback + -------- + The function will be called with only one positional parameter whose type is `dict`. The + `callback_arg` will be combined with information of current separation progress. The + progress information will override the values in `callback_arg` if same key has been used. + To abort the separation, raise `KeyboardInterrupt`. + + Progress information contains several keys (These keys will always exist): + - `model_idx_in_bag`: The index of the submodel in `BagOfModels`. Starts from 0. + - `shift_idx`: The index of shifts. Starts from 0. + - `segment_offset`: The offset of current segment. If the number is 441000, it doesn't + mean that it is at the 441000 second of the audio, but the "frame" of the tensor. + - `state`: Could be `"start"` or `"end"`. + - `audio_length`: Length of the audio (in "frame" of the tensor). + - `models`: Count of submodels in the model. + """ + if not isinstance(device, _NotProvided): + self._device = device + if not isinstance(shifts, _NotProvided): + self._shifts = shifts + if not isinstance(overlap, _NotProvided): + self._overlap = overlap + if not isinstance(split, _NotProvided): + self._split = split + if not isinstance(segment, _NotProvided): + self._segment = segment + if not isinstance(jobs, _NotProvided): + self._jobs = jobs + if not isinstance(progress, _NotProvided): + self._progress = progress + if not isinstance(callback, _NotProvided): + self._callback = callback + if not isinstance(callback_arg, _NotProvided): + self._callback_arg = callback_arg + + def _load_model(self): + self._model = get_model(name=self._name, repo=self._repo) + if self._model is None: + raise LoadModelError("Failed to load model") + self._audio_channels = self._model.audio_channels + self._samplerate = self._model.samplerate + + def _load_audio(self, track: Path): + errors = {} + wav = None + + try: + wav = AudioFile(track).read(streams=0, samplerate=self._samplerate, + channels=self._audio_channels) + except FileNotFoundError: + errors["ffmpeg"] = "FFmpeg is not installed." + except subprocess.CalledProcessError: + errors["ffmpeg"] = "FFmpeg could not read the file." + + if wav is None: + try: + wav, sr = ta.load(str(track)) + except RuntimeError as err: + errors["torchaudio"] = err.args[0] + else: + wav = convert_audio(wav, sr, self._samplerate, self._audio_channels) + + if wav is None: + raise LoadAudioError( + "\n".join( + "When trying to load using {}, got the following error: {}".format( + backend, error + ) + for backend, error in errors.items() + ) + ) + return wav + + def separate_tensor( + self, wav: th.Tensor, sr: Optional[int] = None + ) -> Tuple[th.Tensor, Dict[str, th.Tensor]]: + """ + Separate a loaded tensor. + + Parameters + ---------- + wav: Waveform of the audio. Should have 2 dimensions, the first is each audio channel, \ + while the second is the waveform of each channel. Type should be float32. \ + e.g. `tuple(wav.shape) == (2, 884000)` means the audio has 2 channels. + sr: Sample rate of the original audio, the wave will be resampled if it doesn't match the \ + model. + + Returns + ------- + A tuple, whose first element is the original wave and second element is a dict, whose keys + are the name of stems and values are separated waves. The original wave will have already + been resampled. + + Notes + ----- + Use this function with cautiousness. This function does not provide data verifying. + """ + if sr is not None and sr != self.samplerate: + wav = convert_audio(wav, sr, self._samplerate, self._audio_channels) + ref = wav.mean(0) + wav -= ref.mean() + wav /= ref.std() + 1e-8 + out = apply_model( + self._model, + wav[None], + segment=self._segment, + shifts=self._shifts, + split=self._split, + overlap=self._overlap, + device=self._device, + num_workers=self._jobs, + callback=self._callback, + callback_arg=_replace_dict( + self._callback_arg, ("audio_length", wav.shape[1]) + ), + progress=self._progress, + ) + if out is None: + raise KeyboardInterrupt + out *= ref.std() + 1e-8 + out += ref.mean() + wav *= ref.std() + 1e-8 + wav += ref.mean() + return (wav, dict(zip(self._model.sources, out[0]))) + + def separate_audio_file(self, file: Path): + """ + Separate an audio file. The method will automatically read the file. + + Parameters + ---------- + wav: Path of the file to be separated. + + Returns + ------- + A tuple, whose first element is the original wave and second element is a dict, whose keys + are the name of stems and values are separated waves. The original wave will have already + been resampled. + """ + return self.separate_tensor(self._load_audio(file), self.samplerate) + + @property + def samplerate(self): + return self._samplerate + + @property + def audio_channels(self): + return self._audio_channels + + @property + def model(self): + return self._model + + +def list_models(repo: Optional[Path] = None) -> Dict[str, Dict[str, Union[str, Path]]]: + """ + List the available models. Please remember that not all the returned models can be + successfully loaded. + + Parameters + ---------- + repo: The repo whose models are to be listed. + + Returns + ------- + A dict with two keys ("single" for single models and "bag" for bag of models). The values are + lists whose components are strs. + """ + model_repo: ModelOnlyRepo + if repo is None: + models = _parse_remote_files(REMOTE_ROOT / 'files.txt') + model_repo = RemoteRepo(models) + bag_repo = BagOnlyRepo(REMOTE_ROOT, model_repo) + else: + if not repo.is_dir(): + fatal(f"{repo} must exist and be a directory.") + model_repo = LocalRepo(repo) + bag_repo = BagOnlyRepo(repo, model_repo) + return {"single": model_repo.list_model(), "bag": bag_repo.list_model()} + + +if __name__ == "__main__": + # Test API functions + # two-stem not supported + + from .separate import get_parser + + args = get_parser().parse_args() + separator = Separator( + model=args.name, + repo=args.repo, + device=args.device, + shifts=args.shifts, + overlap=args.overlap, + split=args.split, + segment=args.segment, + jobs=args.jobs, + callback=print + ) + out = args.out / args.name + out.mkdir(parents=True, exist_ok=True) + for file in args.tracks: + separated = separator.separate_audio_file(file)[1] + if args.mp3: + ext = "mp3" + elif args.flac: + ext = "flac" + else: + ext = "wav" + kwargs = { + "samplerate": separator.samplerate, + "bitrate": args.mp3_bitrate, + "clip": args.clip_mode, + "as_float": args.float32, + "bits_per_sample": 24 if args.int24 else 16, + } + for stem, source in separated.items(): + stem = out / args.filename.format( + track=Path(file).name.rsplit(".", 1)[0], + trackext=Path(file).name.rsplit(".", 1)[-1], + stem=stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(source, str(stem), **kwargs) diff --git a/ext/py/demucs/demucs/apply.py b/ext/py/demucs/demucs/apply.py new file mode 100644 index 0000000..c84993d --- /dev/null +++ b/ext/py/demucs/demucs/apply.py @@ -0,0 +1,322 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Code to apply a model to a mix. It will handle chunking with overlaps and +inteprolation between chunks, as well as the "shift trick". +""" +from concurrent.futures import ThreadPoolExecutor +import copy +import random +from threading import Lock +import typing as tp + +import torch as th +from torch import nn +from torch.nn import functional as F +import tqdm + +from .demucs import Demucs +from .hdemucs import HDemucs +from .htdemucs import HTDemucs +from .utils import center_trim, DummyPoolExecutor + +Model = tp.Union[Demucs, HDemucs, HTDemucs] + + +class BagOfModels(nn.Module): + def __init__(self, models: tp.List[Model], + weights: tp.Optional[tp.List[tp.List[float]]] = None, + segment: tp.Optional[float] = None): + """ + Represents a bag of models with specific weights. + You should call `apply_model` rather than calling directly the forward here for + optimal performance. + + Args: + models (list[nn.Module]): list of Demucs/HDemucs models. + weights (list[list[float]]): list of weights. If None, assumed to + be all ones, otherwise it should be a list of N list (N number of models), + each containing S floats (S number of sources). + segment (None or float): overrides the `segment` attribute of each model + (this is performed inplace, be careful is you reuse the models passed). + """ + super().__init__() + assert len(models) > 0 + first = models[0] + for other in models: + assert other.sources == first.sources + assert other.samplerate == first.samplerate + assert other.audio_channels == first.audio_channels + if segment is not None: + if not isinstance(other, HTDemucs) or segment <= other.segment: + other.segment = segment + + self.audio_channels = first.audio_channels + self.samplerate = first.samplerate + self.sources = first.sources + self.models = nn.ModuleList(models) + + if weights is None: + weights = [[1. for _ in first.sources] for _ in models] + else: + assert len(weights) == len(models) + for weight in weights: + assert len(weight) == len(first.sources) + self.weights = weights + + @property + def max_allowed_segment(self) -> float: + max_allowed_segment = float('inf') + for model in self.models: + if isinstance(model, HTDemucs): + max_allowed_segment = min(max_allowed_segment, float(model.segment)) + return max_allowed_segment + + def forward(self, x): + raise NotImplementedError("Call `apply_model` on this.") + + +class TensorChunk: + def __init__(self, tensor, offset=0, length=None): + total_length = tensor.shape[-1] + assert offset >= 0 + assert offset < total_length + + if length is None: + length = total_length - offset + else: + length = min(total_length - offset, length) + + if isinstance(tensor, TensorChunk): + self.tensor = tensor.tensor + self.offset = offset + tensor.offset + else: + self.tensor = tensor + self.offset = offset + self.length = length + self.device = tensor.device + + @property + def shape(self): + shape = list(self.tensor.shape) + shape[-1] = self.length + return shape + + def padded(self, target_length): + delta = target_length - self.length + total_length = self.tensor.shape[-1] + assert delta >= 0 + + start = self.offset - delta // 2 + end = start + target_length + + correct_start = max(0, start) + correct_end = min(total_length, end) + + pad_left = correct_start - start + pad_right = end - correct_end + + out = F.pad(self.tensor[..., correct_start:correct_end], (pad_left, pad_right)) + assert out.shape[-1] == target_length + return out + + +def tensor_chunk(tensor_or_chunk): + if isinstance(tensor_or_chunk, TensorChunk): + return tensor_or_chunk + else: + assert isinstance(tensor_or_chunk, th.Tensor) + return TensorChunk(tensor_or_chunk) + + +def _replace_dict(_dict: tp.Optional[dict], *subs: tp.Tuple[tp.Hashable, tp.Any]) -> dict: + if _dict is None: + _dict = {} + else: + _dict = copy.copy(_dict) + for key, value in subs: + _dict[key] = value + return _dict + + +def apply_model(model: tp.Union[BagOfModels, Model], + mix: tp.Union[th.Tensor, TensorChunk], + shifts: int = 1, split: bool = True, + overlap: float = 0.25, transition_power: float = 1., + progress: bool = False, device=None, + num_workers: int = 0, segment: tp.Optional[float] = None, + pool=None, lock=None, + callback: tp.Optional[tp.Callable[[dict], None]] = None, + callback_arg: tp.Optional[dict] = None) -> th.Tensor: + """ + Apply model to a given mixture. + + Args: + shifts (int): if > 0, will shift in time `mix` by a random amount between 0 and 0.5 sec + and apply the oppositve shift to the output. This is repeated `shifts` time and + all predictions are averaged. This effectively makes the model time equivariant + and improves SDR by up to 0.2 points. + split (bool): if True, the input will be broken down in 8 seconds extracts + and predictions will be performed individually on each and concatenated. + Useful for model with large memory footprint like Tasnet. + progress (bool): if True, show a progress bar (requires split=True) + device (torch.device, str, or None): if provided, device on which to + execute the computation, otherwise `mix.device` is assumed. + When `device` is different from `mix.device`, only local computations will + be on `device`, while the entire tracks will be stored on `mix.device`. + num_workers (int): if non zero, device is 'cpu', how many threads to + use in parallel. + segment (float or None): override the model segment parameter. + """ + if device is None: + device = mix.device + else: + device = th.device(device) + if pool is None: + if num_workers > 0 and device.type == 'cpu': + pool = ThreadPoolExecutor(num_workers) + else: + pool = DummyPoolExecutor() + if lock is None: + lock = Lock() + callback_arg = _replace_dict( + callback_arg, *{"model_idx_in_bag": 0, "shift_idx": 0, "segment_offset": 0}.items() + ) + kwargs: tp.Dict[str, tp.Any] = { + 'shifts': shifts, + 'split': split, + 'overlap': overlap, + 'transition_power': transition_power, + 'progress': progress, + 'device': device, + 'pool': pool, + 'segment': segment, + 'lock': lock, + } + out: tp.Union[float, th.Tensor] + res: tp.Union[float, th.Tensor] + if isinstance(model, BagOfModels): + # Special treatment for bag of model. + # We explicitely apply multiple times `apply_model` so that the random shifts + # are different for each model. + estimates: tp.Union[float, th.Tensor] = 0. + totals = [0.] * len(model.sources) + callback_arg["models"] = len(model.models) + for sub_model, model_weights in zip(model.models, model.weights): + kwargs["callback"] = (( + lambda d, i=callback_arg["model_idx_in_bag"]: callback( + _replace_dict(d, ("model_idx_in_bag", i))) if callback else None) + ) + original_model_device = next(iter(sub_model.parameters())).device + sub_model.to(device) + + res = apply_model(sub_model, mix, **kwargs, callback_arg=callback_arg) + out = res + sub_model.to(original_model_device) + for k, inst_weight in enumerate(model_weights): + out[:, k, :, :] *= inst_weight + totals[k] += inst_weight + estimates += out + del out + callback_arg["model_idx_in_bag"] += 1 + + assert isinstance(estimates, th.Tensor) + for k in range(estimates.shape[1]): + estimates[:, k, :, :] /= totals[k] + return estimates + + if "models" not in callback_arg: + callback_arg["models"] = 1 + model.to(device) + model.eval() + assert transition_power >= 1, "transition_power < 1 leads to weird behavior." + batch, channels, length = mix.shape + if shifts: + kwargs['shifts'] = 0 + max_shift = int(0.5 * model.samplerate) + mix = tensor_chunk(mix) + assert isinstance(mix, TensorChunk) + padded_mix = mix.padded(length + 2 * max_shift) + out = 0. + for shift_idx in range(shifts): + offset = random.randint(0, max_shift) + shifted = TensorChunk(padded_mix, offset, length + max_shift - offset) + kwargs["callback"] = ( + (lambda d, i=shift_idx: callback(_replace_dict(d, ("shift_idx", i))) + if callback else None) + ) + res = apply_model(model, shifted, **kwargs, callback_arg=callback_arg) + shifted_out = res + out += shifted_out[..., max_shift - offset:] + out /= shifts + assert isinstance(out, th.Tensor) + return out + elif split: + kwargs['split'] = False + out = th.zeros(batch, len(model.sources), channels, length, device=mix.device) + sum_weight = th.zeros(length, device=mix.device) + if segment is None: + segment = model.segment + assert segment is not None and segment > 0. + segment_length: int = int(model.samplerate * segment) + stride = int((1 - overlap) * segment_length) + offsets = range(0, length, stride) + scale = float(format(stride / model.samplerate, ".2f")) + # We start from a triangle shaped weight, with maximal weight in the middle + # of the segment. Then we normalize and take to the power `transition_power`. + # Large values of transition power will lead to sharper transitions. + weight = th.cat([th.arange(1, segment_length // 2 + 1, device=device), + th.arange(segment_length - segment_length // 2, 0, -1, device=device)]) + assert len(weight) == segment_length + # If the overlap < 50%, this will translate to linear transition when + # transition_power is 1. + weight = (weight / weight.max())**transition_power + futures = [] + for offset in offsets: + chunk = TensorChunk(mix, offset, segment_length) + future = pool.submit(apply_model, model, chunk, **kwargs, callback_arg=callback_arg, + callback=(lambda d, i=offset: + callback(_replace_dict(d, ("segment_offset", i))) + if callback else None)) + futures.append((future, offset)) + offset += segment_length + if progress: + futures = tqdm.tqdm(futures, unit_scale=scale, ncols=120, unit='seconds') + for future, offset in futures: + try: + chunk_out = future.result() # type: th.Tensor + except Exception: + pool.shutdown(wait=True, cancel_futures=True) + raise + chunk_length = chunk_out.shape[-1] + out[..., offset:offset + segment_length] += ( + weight[:chunk_length] * chunk_out).to(mix.device) + sum_weight[offset:offset + segment_length] += weight[:chunk_length].to(mix.device) + assert sum_weight.min() > 0 + out /= sum_weight + assert isinstance(out, th.Tensor) + return out + else: + valid_length: int + if isinstance(model, HTDemucs) and segment is not None: + valid_length = int(segment * model.samplerate) + elif hasattr(model, 'valid_length'): + valid_length = model.valid_length(length) # type: ignore + else: + valid_length = length + mix = tensor_chunk(mix) + assert isinstance(mix, TensorChunk) + padded_mix = mix.padded(valid_length).to(device) + with lock: + if callback is not None: + callback(_replace_dict(callback_arg, ("state", "start"))) # type: ignore + with th.no_grad(): + out = model(padded_mix) + with lock: + if callback is not None: + callback(_replace_dict(callback_arg, ("state", "end"))) # type: ignore + assert isinstance(out, th.Tensor) + return center_trim(out, length) diff --git a/ext/py/demucs/demucs/audio.py b/ext/py/demucs/demucs/audio.py new file mode 100644 index 0000000..600bd55 --- /dev/null +++ b/ext/py/demucs/demucs/audio.py @@ -0,0 +1,266 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +import json +import subprocess as sp +from pathlib import Path + +import lameenc +import julius +import numpy as np +from . import audio_legacy +import torch +import torchaudio as ta +import typing as tp + +from .utils import temp_filenames + + +def _read_info(path): + stdout_data = sp.check_output([ + 'ffprobe', "-loglevel", "panic", + str(path), '-print_format', 'json', '-show_format', '-show_streams' + ]) + return json.loads(stdout_data.decode('utf-8')) + + +class AudioFile: + """ + Allows to read audio from any format supported by ffmpeg, as well as resampling or + converting to mono on the fly. See :method:`read` for more details. + """ + def __init__(self, path: Path): + self.path = Path(path) + self._info = None + + def __repr__(self): + features = [("path", self.path)] + features.append(("samplerate", self.samplerate())) + features.append(("channels", self.channels())) + features.append(("streams", len(self))) + features_str = ", ".join(f"{name}={value}" for name, value in features) + return f"AudioFile({features_str})" + + @property + def info(self): + if self._info is None: + self._info = _read_info(self.path) + return self._info + + @property + def duration(self): + return float(self.info['format']['duration']) + + @property + def _audio_streams(self): + return [ + index for index, stream in enumerate(self.info["streams"]) + if stream["codec_type"] == "audio" + ] + + def __len__(self): + return len(self._audio_streams) + + def channels(self, stream=0): + return int(self.info['streams'][self._audio_streams[stream]]['channels']) + + def samplerate(self, stream=0): + return int(self.info['streams'][self._audio_streams[stream]]['sample_rate']) + + def read(self, + seek_time=None, + duration=None, + streams=slice(None), + samplerate=None, + channels=None): + """ + Slightly more efficient implementation than stempeg, + in particular, this will extract all stems at once + rather than having to loop over one file multiple times + for each stream. + + Args: + seek_time (float): seek time in seconds or None if no seeking is needed. + duration (float): duration in seconds to extract or None to extract until the end. + streams (slice, int or list): streams to extract, can be a single int, a list or + a slice. If it is a slice or list, the output will be of size [S, C, T] + with S the number of streams, C the number of channels and T the number of samples. + If it is an int, the output will be [C, T]. + samplerate (int): if provided, will resample on the fly. If None, no resampling will + be done. Original sampling rate can be obtained with :method:`samplerate`. + channels (int): if 1, will convert to mono. We do not rely on ffmpeg for that + as ffmpeg automatically scale by +3dB to conserve volume when playing on speakers. + See https://sound.stackexchange.com/a/42710. + Our definition of mono is simply the average of the two channels. Any other + value will be ignored. + """ + streams = np.array(range(len(self)))[streams] + single = not isinstance(streams, np.ndarray) + if single: + streams = [streams] + + if duration is None: + target_size = None + query_duration = None + else: + target_size = int((samplerate or self.samplerate()) * duration) + query_duration = float((target_size + 1) / (samplerate or self.samplerate())) + + with temp_filenames(len(streams)) as filenames: + command = ['ffmpeg', '-y'] + command += ['-loglevel', 'panic'] + if seek_time: + command += ['-ss', str(seek_time)] + command += ['-i', str(self.path)] + for stream, filename in zip(streams, filenames): + command += ['-map', f'0:{self._audio_streams[stream]}'] + if query_duration is not None: + command += ['-t', str(query_duration)] + command += ['-threads', '1'] + command += ['-f', 'f32le'] + if samplerate is not None: + command += ['-ar', str(samplerate)] + command += [filename] + + sp.run(command, check=True) + wavs = [] + for filename in filenames: + wav = np.fromfile(filename, dtype=np.float32) + wav = torch.from_numpy(wav) + wav = wav.view(-1, self.channels()).t() + if channels is not None: + wav = convert_audio_channels(wav, channels) + if target_size is not None: + wav = wav[..., :target_size] + wavs.append(wav) + wav = torch.stack(wavs, dim=0) + if single: + wav = wav[0] + return wav + + +def convert_audio_channels(wav, channels=2): + """Convert audio to the given number of channels.""" + *shape, src_channels, length = wav.shape + if src_channels == channels: + pass + elif channels == 1: + # Case 1: + # The caller asked 1-channel audio, but the stream have multiple + # channels, downmix all channels. + wav = wav.mean(dim=-2, keepdim=True) + elif src_channels == 1: + # Case 2: + # The caller asked for multiple channels, but the input file have + # one single channel, replicate the audio over all channels. + wav = wav.expand(*shape, channels, length) + elif src_channels >= channels: + # Case 3: + # The caller asked for multiple channels, and the input file have + # more channels than requested. In that case return the first channels. + wav = wav[..., :channels, :] + else: + # Case 4: What is a reasonable choice here? + raise ValueError('The audio file has less channels than requested but is not mono.') + return wav + + +def convert_audio(wav, from_samplerate, to_samplerate, channels) -> torch.Tensor: + """Convert audio from a given samplerate to a target one and target number of channels.""" + wav = convert_audio_channels(wav, channels) + return julius.resample_frac(wav, from_samplerate, to_samplerate) + + +def i16_pcm(wav): + """Convert audio to 16 bits integer PCM format.""" + if wav.dtype.is_floating_point: + return (wav.clamp_(-1, 1) * (2**15 - 1)).short() + else: + return wav + + +def f32_pcm(wav): + """Convert audio to float 32 bits PCM format.""" + if wav.dtype.is_floating_point: + return wav + else: + return wav.float() / (2**15 - 1) + + +def as_dtype_pcm(wav, dtype): + """Convert audio to either f32 pcm or i16 pcm depending on the given dtype.""" + if wav.dtype.is_floating_point: + return f32_pcm(wav) + else: + return i16_pcm(wav) + + +def encode_mp3(wav, path, samplerate=44100, bitrate=320, quality=2, verbose=False): + """Save given audio as mp3. This should work on all OSes.""" + C, T = wav.shape + wav = i16_pcm(wav) + encoder = lameenc.Encoder() + encoder.set_bit_rate(bitrate) + encoder.set_in_sample_rate(samplerate) + encoder.set_channels(C) + encoder.set_quality(quality) # 2-highest, 7-fastest + if not verbose: + encoder.silence() + wav = wav.data.cpu() + wav = wav.transpose(0, 1).numpy() + mp3_data = encoder.encode(wav.tobytes()) + mp3_data += encoder.flush() + with open(path, "wb") as f: + f.write(mp3_data) + + +def prevent_clip(wav, mode='rescale'): + """ + different strategies for avoiding raw clipping. + """ + if mode is None or mode == 'none': + return wav + assert wav.dtype.is_floating_point, "too late for clipping" + if mode == 'rescale': + wav = wav / max(1.01 * wav.abs().max(), 1) + elif mode == 'clamp': + wav = wav.clamp(-0.99, 0.99) + elif mode == 'tanh': + wav = torch.tanh(wav) + else: + raise ValueError(f"Invalid mode {mode}") + return wav + + +def save_audio(wav: torch.Tensor, + path: tp.Union[str, Path], + samplerate: int, + bitrate: int = 320, + clip: tp.Literal["rescale", "clamp", "tanh", "none"] = 'rescale', + bits_per_sample: tp.Literal[16, 24, 32] = 16, + as_float: bool = False, + preset: tp.Literal[2, 3, 4, 5, 6, 7] = 2): + """Save audio file, automatically preventing clipping if necessary + based on the given `clip` strategy. If the path ends in `.mp3`, this + will save as mp3 with the given `bitrate`. Use `preset` to set mp3 quality: + 2 for highest quality, 7 for fastest speed + """ + wav = prevent_clip(wav, mode=clip) + path = Path(path) + suffix = path.suffix.lower() + if suffix == ".mp3": + encode_mp3(wav, path, samplerate, bitrate, preset, verbose=True) + elif suffix == ".wav": + if as_float: + bits_per_sample = 32 + encoding = 'PCM_F' + else: + encoding = 'PCM_S' + ta.save(str(path), wav, sample_rate=samplerate, + encoding=encoding, bits_per_sample=bits_per_sample) + elif suffix == ".flac": + ta.save(str(path), wav, sample_rate=samplerate, bits_per_sample=bits_per_sample) + else: + raise ValueError(f"Invalid suffix for path: {suffix}") diff --git a/ext/py/demucs/demucs/audio_legacy.py b/ext/py/demucs/demucs/audio_legacy.py new file mode 100644 index 0000000..ab6bdce --- /dev/null +++ b/ext/py/demucs/demucs/audio_legacy.py @@ -0,0 +1,17 @@ +# This file is to extend support for torchaudio 2.1 + +import importlib +import os +import sys +import warnings + +if not "torchaudio" in sys.modules: + os.environ["TORCHAUDIO_USE_BACKEND_DISPATCHER"] = "0" +elif os.getenv("TORCHAUDIO_USE_BACKEND_DISPATCHER", default="1") == "1": + if sys.modules["torchaudio"].__version__ >= "2.1": + os.environ["TORCHAUDIO_USE_BACKEND_DISPATCHER"] = "0" + importlib.reload(sys.modules["torchaudio"]) + warnings.warn( + "TORCHAUDIO_USE_BACKEND_DISPATCHER is set to 0 and torchaudio is reloaded.", + ImportWarning, + ) diff --git a/ext/py/demucs/demucs/augment.py b/ext/py/demucs/demucs/augment.py new file mode 100644 index 0000000..6dab7f1 --- /dev/null +++ b/ext/py/demucs/demucs/augment.py @@ -0,0 +1,111 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Data augmentations. +""" + +import random +import torch as th +from torch import nn + + +class Shift(nn.Module): + """ + Randomly shift audio in time by up to `shift` samples. + """ + def __init__(self, shift=8192, same=False): + super().__init__() + self.shift = shift + self.same = same + + def forward(self, wav): + batch, sources, channels, time = wav.size() + length = time - self.shift + if self.shift > 0: + if not self.training: + wav = wav[..., :length] + else: + srcs = 1 if self.same else sources + offsets = th.randint(self.shift, [batch, srcs, 1, 1], device=wav.device) + offsets = offsets.expand(-1, sources, channels, -1) + indexes = th.arange(length, device=wav.device) + wav = wav.gather(3, indexes + offsets) + return wav + + +class FlipChannels(nn.Module): + """ + Flip left-right channels. + """ + def forward(self, wav): + batch, sources, channels, time = wav.size() + if self.training and wav.size(2) == 2: + left = th.randint(2, (batch, sources, 1, 1), device=wav.device) + left = left.expand(-1, -1, -1, time) + right = 1 - left + wav = th.cat([wav.gather(2, left), wav.gather(2, right)], dim=2) + return wav + + +class FlipSign(nn.Module): + """ + Random sign flip. + """ + def forward(self, wav): + batch, sources, channels, time = wav.size() + if self.training: + signs = th.randint(2, (batch, sources, 1, 1), device=wav.device, dtype=th.float32) + wav = wav * (2 * signs - 1) + return wav + + +class Remix(nn.Module): + """ + Shuffle sources to make new mixes. + """ + def __init__(self, proba=1, group_size=4): + """ + Shuffle sources within one batch. + Each batch is divided into groups of size `group_size` and shuffling is done within + each group separatly. This allow to keep the same probability distribution no matter + the number of GPUs. Without this grouping, using more GPUs would lead to a higher + probability of keeping two sources from the same track together which can impact + performance. + """ + super().__init__() + self.proba = proba + self.group_size = group_size + + def forward(self, wav): + batch, streams, channels, time = wav.size() + device = wav.device + + if self.training and random.random() < self.proba: + group_size = self.group_size or batch + if batch % group_size != 0: + raise ValueError(f"Batch size {batch} must be divisible by group size {group_size}") + groups = batch // group_size + wav = wav.view(groups, group_size, streams, channels, time) + permutations = th.argsort(th.rand(groups, group_size, streams, 1, 1, device=device), + dim=1) + wav = wav.gather(1, permutations.expand(-1, -1, -1, channels, time)) + wav = wav.view(batch, streams, channels, time) + return wav + + +class Scale(nn.Module): + def __init__(self, proba=1., min=0.25, max=1.25): + super().__init__() + self.proba = proba + self.min = min + self.max = max + + def forward(self, wav): + batch, streams, channels, time = wav.size() + device = wav.device + if self.training and random.random() < self.proba: + scales = th.empty(batch, streams, 1, 1, device=device).uniform_(self.min, self.max) + wav *= scales + return wav diff --git a/ext/py/demucs/demucs/demucs.py b/ext/py/demucs/demucs/demucs.py new file mode 100644 index 0000000..f6a4305 --- /dev/null +++ b/ext/py/demucs/demucs/demucs.py @@ -0,0 +1,447 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import math +import typing as tp + +import julius +import torch +from torch import nn +from torch.nn import functional as F + +from .states import capture_init +from .utils import center_trim, unfold +from .transformer import LayerScale + + +class BLSTM(nn.Module): + """ + BiLSTM with same hidden units as input dim. + If `max_steps` is not None, input will be splitting in overlapping + chunks and the LSTM applied separately on each chunk. + """ + def __init__(self, dim, layers=1, max_steps=None, skip=False): + super().__init__() + assert max_steps is None or max_steps % 4 == 0 + self.max_steps = max_steps + self.lstm = nn.LSTM(bidirectional=True, num_layers=layers, hidden_size=dim, input_size=dim) + self.linear = nn.Linear(2 * dim, dim) + self.skip = skip + + def forward(self, x): + B, C, T = x.shape + y = x + framed = False + if self.max_steps is not None and T > self.max_steps: + width = self.max_steps + stride = width // 2 + frames = unfold(x, width, stride) + nframes = frames.shape[2] + framed = True + x = frames.permute(0, 2, 1, 3).reshape(-1, C, width) + + x = x.permute(2, 0, 1) + + x = self.lstm(x)[0] + x = self.linear(x) + x = x.permute(1, 2, 0) + if framed: + out = [] + frames = x.reshape(B, -1, C, width) + limit = stride // 2 + for k in range(nframes): + if k == 0: + out.append(frames[:, k, :, :-limit]) + elif k == nframes - 1: + out.append(frames[:, k, :, limit:]) + else: + out.append(frames[:, k, :, limit:-limit]) + out = torch.cat(out, -1) + out = out[..., :T] + x = out + if self.skip: + x = x + y + return x + + +def rescale_conv(conv, reference): + """Rescale initial weight scale. It is unclear why it helps but it certainly does. + """ + std = conv.weight.std().detach() + scale = (std / reference)**0.5 + conv.weight.data /= scale + if conv.bias is not None: + conv.bias.data /= scale + + +def rescale_module(module, reference): + for sub in module.modules(): + if isinstance(sub, (nn.Conv1d, nn.ConvTranspose1d, nn.Conv2d, nn.ConvTranspose2d)): + rescale_conv(sub, reference) + + +class DConv(nn.Module): + """ + New residual branches in each encoder layer. + This alternates dilated convolutions, potentially with LSTMs and attention. + Also before entering each residual branch, dimension is projected on a smaller subspace, + e.g. of dim `channels // compress`. + """ + def __init__(self, channels: int, compress: float = 4, depth: int = 2, init: float = 1e-4, + norm=True, attn=False, heads=4, ndecay=4, lstm=False, gelu=True, + kernel=3, dilate=True): + """ + Args: + channels: input/output channels for residual branch. + compress: amount of channel compression inside the branch. + depth: number of layers in the residual branch. Each layer has its own + projection, and potentially LSTM and attention. + init: initial scale for LayerNorm. + norm: use GroupNorm. + attn: use LocalAttention. + heads: number of heads for the LocalAttention. + ndecay: number of decay controls in the LocalAttention. + lstm: use LSTM. + gelu: Use GELU activation. + kernel: kernel size for the (dilated) convolutions. + dilate: if true, use dilation, increasing with the depth. + """ + + super().__init__() + assert kernel % 2 == 1 + self.channels = channels + self.compress = compress + self.depth = abs(depth) + dilate = depth > 0 + + norm_fn: tp.Callable[[int], nn.Module] + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(1, d) # noqa + + hidden = int(channels / compress) + + act: tp.Type[nn.Module] + if gelu: + act = nn.GELU + else: + act = nn.ReLU + + self.layers = nn.ModuleList([]) + for d in range(self.depth): + dilation = 2 ** d if dilate else 1 + padding = dilation * (kernel // 2) + mods = [ + nn.Conv1d(channels, hidden, kernel, dilation=dilation, padding=padding), + norm_fn(hidden), act(), + nn.Conv1d(hidden, 2 * channels, 1), + norm_fn(2 * channels), nn.GLU(1), + LayerScale(channels, init), + ] + if attn: + mods.insert(3, LocalState(hidden, heads=heads, ndecay=ndecay)) + if lstm: + mods.insert(3, BLSTM(hidden, layers=2, max_steps=200, skip=True)) + layer = nn.Sequential(*mods) + self.layers.append(layer) + + def forward(self, x): + for layer in self.layers: + x = x + layer(x) + return x + + +class LocalState(nn.Module): + """Local state allows to have attention based only on data (no positional embedding), + but while setting a constraint on the time window (e.g. decaying penalty term). + + Also a failed experiments with trying to provide some frequency based attention. + """ + def __init__(self, channels: int, heads: int = 4, nfreqs: int = 0, ndecay: int = 4): + super().__init__() + assert channels % heads == 0, (channels, heads) + self.heads = heads + self.nfreqs = nfreqs + self.ndecay = ndecay + self.content = nn.Conv1d(channels, channels, 1) + self.query = nn.Conv1d(channels, channels, 1) + self.key = nn.Conv1d(channels, channels, 1) + if nfreqs: + self.query_freqs = nn.Conv1d(channels, heads * nfreqs, 1) + if ndecay: + self.query_decay = nn.Conv1d(channels, heads * ndecay, 1) + # Initialize decay close to zero (there is a sigmoid), for maximum initial window. + self.query_decay.weight.data *= 0.01 + assert self.query_decay.bias is not None # stupid type checker + self.query_decay.bias.data[:] = -2 + self.proj = nn.Conv1d(channels + heads * nfreqs, channels, 1) + + def forward(self, x): + B, C, T = x.shape + heads = self.heads + indexes = torch.arange(T, device=x.device, dtype=x.dtype) + # left index are keys, right index are queries + delta = indexes[:, None] - indexes[None, :] + + queries = self.query(x).view(B, heads, -1, T) + keys = self.key(x).view(B, heads, -1, T) + # t are keys, s are queries + dots = torch.einsum("bhct,bhcs->bhts", keys, queries) + dots /= keys.shape[2]**0.5 + if self.nfreqs: + periods = torch.arange(1, self.nfreqs + 1, device=x.device, dtype=x.dtype) + freq_kernel = torch.cos(2 * math.pi * delta / periods.view(-1, 1, 1)) + freq_q = self.query_freqs(x).view(B, heads, -1, T) / self.nfreqs ** 0.5 + dots += torch.einsum("fts,bhfs->bhts", freq_kernel, freq_q) + if self.ndecay: + decays = torch.arange(1, self.ndecay + 1, device=x.device, dtype=x.dtype) + decay_q = self.query_decay(x).view(B, heads, -1, T) + decay_q = torch.sigmoid(decay_q) / 2 + decay_kernel = - decays.view(-1, 1, 1) * delta.abs() / self.ndecay**0.5 + dots += torch.einsum("fts,bhfs->bhts", decay_kernel, decay_q) + + # Kill self reference. + dots.masked_fill_(torch.eye(T, device=dots.device, dtype=torch.bool), -100) + weights = torch.softmax(dots, dim=2) + + content = self.content(x).view(B, heads, -1, T) + result = torch.einsum("bhts,bhct->bhcs", weights, content) + if self.nfreqs: + time_sig = torch.einsum("bhts,fts->bhfs", weights, freq_kernel) + result = torch.cat([result, time_sig], 2) + result = result.reshape(B, -1, T) + return x + self.proj(result) + + +class Demucs(nn.Module): + @capture_init + def __init__(self, + sources, + # Channels + audio_channels=2, + channels=64, + growth=2., + # Main structure + depth=6, + rewrite=True, + lstm_layers=0, + # Convolutions + kernel_size=8, + stride=4, + context=1, + # Activations + gelu=True, + glu=True, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=4, + dconv_attn=4, + dconv_lstm=4, + dconv_init=1e-4, + # Pre/post processing + normalize=True, + resample=True, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=4 * 10): + """ + Args: + sources (list[str]): list of source names + audio_channels (int): stereo or mono + channels (int): first convolution channels + depth (int): number of encoder/decoder layers + growth (float): multiply (resp divide) number of channels by that + for each layer of the encoder (resp decoder) + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + lstm_layers (int): number of lstm layers, 0 = no lstm. Deactivated + by default, as this is now replaced by the smaller and faster small LSTMs + in the DConv branches. + kernel_size (int): kernel size for convolutions + stride (int): stride for convolutions + context (int): kernel size of the convolution in the + decoder before the transposed convolution. If > 1, + will provide some context from neighboring time steps. + gelu: use GELU activation function. + glu (bool): use glu instead of ReLU for the 1x1 rewrite conv. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + normalize (bool): normalizes the input audio on the fly, and scales back + the output by the same amount. + resample (bool): upsample x2 the input and downsample /2 the output. + rescale (float): rescale initial weights of convolutions + to get their standard deviation closer to `rescale`. + samplerate (int): stored as meta information for easing + future evaluations of the model. + segment (float): duration of the chunks of audio to ideally evaluate the model on. + This is used by `demucs.apply.apply_model`. + """ + + super().__init__() + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.resample = resample + self.channels = channels + self.normalize = normalize + self.samplerate = samplerate + self.segment = segment + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + self.skip_scales = nn.ModuleList() + + if glu: + activation = nn.GLU(dim=1) + ch_scale = 2 + else: + activation = nn.ReLU() + ch_scale = 1 + if gelu: + act2 = nn.GELU + else: + act2 = nn.ReLU + + in_channels = audio_channels + padding = 0 + for index in range(depth): + norm_fn = lambda d: nn.Identity() # noqa + if index >= norm_starts: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + + encode = [] + encode += [ + nn.Conv1d(in_channels, channels, kernel_size, stride), + norm_fn(channels), + act2(), + ] + attn = index >= dconv_attn + lstm = index >= dconv_lstm + if dconv_mode & 1: + encode += [DConv(channels, depth=dconv_depth, init=dconv_init, + compress=dconv_comp, attn=attn, lstm=lstm)] + if rewrite: + encode += [ + nn.Conv1d(channels, ch_scale * channels, 1), + norm_fn(ch_scale * channels), activation] + self.encoder.append(nn.Sequential(*encode)) + + decode = [] + if index > 0: + out_channels = in_channels + else: + out_channels = len(self.sources) * audio_channels + if rewrite: + decode += [ + nn.Conv1d(channels, ch_scale * channels, 2 * context + 1, padding=context), + norm_fn(ch_scale * channels), activation] + if dconv_mode & 2: + decode += [DConv(channels, depth=dconv_depth, init=dconv_init, + compress=dconv_comp, attn=attn, lstm=lstm)] + decode += [nn.ConvTranspose1d(channels, out_channels, + kernel_size, stride, padding=padding)] + if index > 0: + decode += [norm_fn(out_channels), act2()] + self.decoder.insert(0, nn.Sequential(*decode)) + in_channels = channels + channels = int(growth * channels) + + channels = in_channels + if lstm_layers: + self.lstm = BLSTM(channels, lstm_layers) + else: + self.lstm = None + + if rescale: + rescale_module(self, reference=rescale) + + def valid_length(self, length): + """ + Return the nearest valid length to use with the model so that + there is no time steps left over in a convolution, e.g. for all + layers, size of the input - kernel_size % stride = 0. + + Note that input are automatically padded if necessary to ensure that the output + has the same length as the input. + """ + if self.resample: + length *= 2 + + for _ in range(self.depth): + length = math.ceil((length - self.kernel_size) / self.stride) + 1 + length = max(1, length) + + for idx in range(self.depth): + length = (length - 1) * self.stride + self.kernel_size + + if self.resample: + length = math.ceil(length / 2) + return int(length) + + def forward(self, mix): + x = mix + length = x.shape[-1] + + if self.normalize: + mono = mix.mean(dim=1, keepdim=True) + mean = mono.mean(dim=-1, keepdim=True) + std = mono.std(dim=-1, keepdim=True) + x = (x - mean) / (1e-5 + std) + else: + mean = 0 + std = 1 + + delta = self.valid_length(length) - length + x = F.pad(x, (delta // 2, delta - delta // 2)) + + if self.resample: + x = julius.resample_frac(x, 1, 2) + + saved = [] + for encode in self.encoder: + x = encode(x) + saved.append(x) + + if self.lstm: + x = self.lstm(x) + + for decode in self.decoder: + skip = saved.pop(-1) + skip = center_trim(skip, x) + x = decode(x + skip) + + if self.resample: + x = julius.resample_frac(x, 2, 1) + x = x * std + mean + x = center_trim(x, length) + x = x.view(x.size(0), len(self.sources), self.audio_channels, x.size(-1)) + return x + + def load_state_dict(self, state, strict=True): + # fix a mismatch with previous generation Demucs models. + for idx in range(self.depth): + for a in ['encoder', 'decoder']: + for b in ['bias', 'weight']: + new = f'{a}.{idx}.3.{b}' + old = f'{a}.{idx}.2.{b}' + if old in state and new not in state: + state[new] = state.pop(old) + super().load_state_dict(state, strict=strict) diff --git a/ext/py/demucs/demucs/distrib.py b/ext/py/demucs/demucs/distrib.py new file mode 100644 index 0000000..dc1576c --- /dev/null +++ b/ext/py/demucs/demucs/distrib.py @@ -0,0 +1,100 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Distributed training utilities. +""" +import logging +import pickle + +import numpy as np +import torch +from torch.utils.data.distributed import DistributedSampler +from torch.utils.data import DataLoader, Subset +from torch.nn.parallel.distributed import DistributedDataParallel + +from dora import distrib as dora_distrib + +logger = logging.getLogger(__name__) +rank = 0 +world_size = 1 + + +def init(): + global rank, world_size + if not torch.distributed.is_initialized(): + dora_distrib.init() + rank = dora_distrib.rank() + world_size = dora_distrib.world_size() + + +def average(metrics, count=1.): + if isinstance(metrics, dict): + keys, values = zip(*sorted(metrics.items())) + values = average(values, count) + return dict(zip(keys, values)) + if world_size == 1: + return metrics + tensor = torch.tensor(list(metrics) + [1], device='cuda', dtype=torch.float32) + tensor *= count + torch.distributed.all_reduce(tensor, op=torch.distributed.ReduceOp.SUM) + return (tensor[:-1] / tensor[-1]).cpu().numpy().tolist() + + +def wrap(model): + if world_size == 1: + return model + else: + return DistributedDataParallel( + model, + # find_unused_parameters=True, + device_ids=[torch.cuda.current_device()], + output_device=torch.cuda.current_device()) + + +def barrier(): + if world_size > 1: + torch.distributed.barrier() + + +def share(obj=None, src=0): + if world_size == 1: + return obj + size = torch.empty(1, device='cuda', dtype=torch.long) + if rank == src: + dump = pickle.dumps(obj) + size[0] = len(dump) + torch.distributed.broadcast(size, src=src) + # size variable is now set to the length of pickled obj in all processes + + if rank == src: + buffer = torch.from_numpy(np.frombuffer(dump, dtype=np.uint8).copy()).cuda() + else: + buffer = torch.empty(size[0].item(), device='cuda', dtype=torch.uint8) + torch.distributed.broadcast(buffer, src=src) + # buffer variable is now set to pickled obj in all processes + + if rank != src: + obj = pickle.loads(buffer.cpu().numpy().tobytes()) + logger.debug(f"Shared object of size {len(buffer)}") + return obj + + +def loader(dataset, *args, shuffle=False, klass=DataLoader, **kwargs): + """ + Create a dataloader properly in case of distributed training. + If a gradient is going to be computed you must set `shuffle=True`. + """ + if world_size == 1: + return klass(dataset, *args, shuffle=shuffle, **kwargs) + + if shuffle: + # train means we will compute backward, we use DistributedSampler + sampler = DistributedSampler(dataset) + # We ignore shuffle, DistributedSampler already shuffles + return klass(dataset, *args, **kwargs, sampler=sampler) + else: + # We make a manual shard, as DistributedSampler otherwise replicate some examples + dataset = Subset(dataset, list(range(rank, len(dataset), world_size))) + return klass(dataset, *args, shuffle=shuffle, **kwargs) diff --git a/ext/py/demucs/demucs/ema.py b/ext/py/demucs/demucs/ema.py new file mode 100644 index 0000000..101bee0 --- /dev/null +++ b/ext/py/demucs/demucs/ema.py @@ -0,0 +1,66 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# Inspired from https://github.com/rwightman/pytorch-image-models +from contextlib import contextmanager + +import torch + +from .states import swap_state + + +class ModelEMA: + """ + Perform EMA on a model. You can switch to the EMA weights temporarily + with the `swap` method. + + ema = ModelEMA(model) + with ema.swap(): + # compute valid metrics with averaged model. + """ + def __init__(self, model, decay=0.9999, unbias=True, device='cpu'): + self.decay = decay + self.model = model + self.state = {} + self.count = 0 + self.device = device + self.unbias = unbias + + self._init() + + def _init(self): + for key, val in self.model.state_dict().items(): + if val.dtype != torch.float32: + continue + device = self.device or val.device + if key not in self.state: + self.state[key] = val.detach().to(device, copy=True) + + def update(self): + if self.unbias: + self.count = self.count * self.decay + 1 + w = 1 / self.count + else: + w = 1 - self.decay + for key, val in self.model.state_dict().items(): + if val.dtype != torch.float32: + continue + device = self.device or val.device + self.state[key].mul_(1 - w) + self.state[key].add_(val.detach().to(device), alpha=w) + + @contextmanager + def swap(self): + with swap_state(self.model, self.state): + yield + + def state_dict(self): + return {'state': self.state, 'count': self.count} + + def load_state_dict(self, state): + self.count = state['count'] + for k, v in state['state'].items(): + self.state[k].copy_(v) diff --git a/ext/py/demucs/demucs/evaluate.py b/ext/py/demucs/demucs/evaluate.py new file mode 100644 index 0000000..fa2ff45 --- /dev/null +++ b/ext/py/demucs/demucs/evaluate.py @@ -0,0 +1,174 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Test time evaluation, either using the original SDR from [Vincent et al. 2006] +or the newest SDR definition from the MDX 2021 competition (this one will +be reported as `nsdr` for `new sdr`). +""" + +from concurrent import futures +import logging + +from dora.log import LogProgress +import numpy as np +import musdb +import museval +import torch as th + +from .apply import apply_model +from .audio import convert_audio, save_audio +from . import distrib +from .utils import DummyPoolExecutor + + +logger = logging.getLogger(__name__) + + +def new_sdr(references, estimates): + """ + Compute the SDR according to the MDX challenge definition. + Adapted from AIcrowd/music-demixing-challenge-starter-kit (MIT license) + """ + assert references.dim() == 4 + assert estimates.dim() == 4 + delta = 1e-7 # avoid numerical errors + num = th.sum(th.square(references), dim=(2, 3)) + den = th.sum(th.square(references - estimates), dim=(2, 3)) + num += delta + den += delta + scores = 10 * th.log10(num / den) + return scores + + +def eval_track(references, estimates, win, hop, compute_sdr=True): + references = references.transpose(1, 2).double() + estimates = estimates.transpose(1, 2).double() + + new_scores = new_sdr(references.cpu()[None], estimates.cpu()[None])[0] + + if not compute_sdr: + return None, new_scores + else: + references = references.numpy() + estimates = estimates.numpy() + scores = museval.metrics.bss_eval( + references, estimates, + compute_permutation=False, + window=win, + hop=hop, + framewise_filters=False, + bsseval_sources_version=False)[:-1] + return scores, new_scores + + +def evaluate(solver, compute_sdr=False): + """ + Evaluate model using museval. + compute_sdr=False means using only the MDX definition of the SDR, which + is much faster to evaluate. + """ + + args = solver.args + + output_dir = solver.folder / "results" + output_dir.mkdir(exist_ok=True, parents=True) + json_folder = solver.folder / "results/test" + json_folder.mkdir(exist_ok=True, parents=True) + + # we load tracks from the original musdb set + if args.test.nonhq is None: + test_set = musdb.DB(args.dset.musdb, subsets=["test"], is_wav=True) + else: + test_set = musdb.DB(args.test.nonhq, subsets=["test"], is_wav=False) + src_rate = args.dset.musdb_samplerate + + eval_device = 'cpu' + + model = solver.model + win = int(1. * model.samplerate) + hop = int(1. * model.samplerate) + + indexes = range(distrib.rank, len(test_set), distrib.world_size) + indexes = LogProgress(logger, indexes, updates=args.misc.num_prints, + name='Eval') + pendings = [] + + pool = futures.ProcessPoolExecutor if args.test.workers else DummyPoolExecutor + with pool(args.test.workers) as pool: + for index in indexes: + track = test_set.tracks[index] + + mix = th.from_numpy(track.audio).t().float() + if mix.dim() == 1: + mix = mix[None] + mix = mix.to(solver.device) + ref = mix.mean(dim=0) # mono mixture + mix = (mix - ref.mean()) / ref.std() + mix = convert_audio(mix, src_rate, model.samplerate, model.audio_channels) + estimates = apply_model(model, mix[None], + shifts=args.test.shifts, split=args.test.split, + overlap=args.test.overlap)[0] + estimates = estimates * ref.std() + ref.mean() + estimates = estimates.to(eval_device) + + references = th.stack( + [th.from_numpy(track.targets[name].audio).t() for name in model.sources]) + if references.dim() == 2: + references = references[:, None] + references = references.to(eval_device) + references = convert_audio(references, src_rate, + model.samplerate, model.audio_channels) + if args.test.save: + folder = solver.folder / "wav" / track.name + folder.mkdir(exist_ok=True, parents=True) + for name, estimate in zip(model.sources, estimates): + save_audio(estimate.cpu(), folder / (name + ".mp3"), model.samplerate) + + pendings.append((track.name, pool.submit( + eval_track, references, estimates, win=win, hop=hop, compute_sdr=compute_sdr))) + + pendings = LogProgress(logger, pendings, updates=args.misc.num_prints, + name='Eval (BSS)') + tracks = {} + for track_name, pending in pendings: + pending = pending.result() + scores, nsdrs = pending + tracks[track_name] = {} + for idx, target in enumerate(model.sources): + tracks[track_name][target] = {'nsdr': [float(nsdrs[idx])]} + if scores is not None: + (sdr, isr, sir, sar) = scores + for idx, target in enumerate(model.sources): + values = { + "SDR": sdr[idx].tolist(), + "SIR": sir[idx].tolist(), + "ISR": isr[idx].tolist(), + "SAR": sar[idx].tolist() + } + tracks[track_name][target].update(values) + + all_tracks = {} + for src in range(distrib.world_size): + all_tracks.update(distrib.share(tracks, src)) + + result = {} + metric_names = next(iter(all_tracks.values()))[model.sources[0]] + for metric_name in metric_names: + avg = 0 + avg_of_medians = 0 + for source in model.sources: + medians = [ + np.nanmedian(all_tracks[track][source][metric_name]) + for track in all_tracks.keys()] + mean = np.mean(medians) + median = np.median(medians) + result[metric_name.lower() + "_" + source] = mean + result[metric_name.lower() + "_med" + "_" + source] = median + avg += mean / len(model.sources) + avg_of_medians += median / len(model.sources) + result[metric_name.lower()] = avg + result[metric_name.lower() + "_med"] = avg_of_medians + return result diff --git a/ext/py/demucs/demucs/grids/__init__.py b/ext/py/demucs/demucs/grids/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/ext/py/demucs/demucs/grids/_explorers.py b/ext/py/demucs/demucs/grids/_explorers.py new file mode 100644 index 0000000..ec3a858 --- /dev/null +++ b/ext/py/demucs/demucs/grids/_explorers.py @@ -0,0 +1,64 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +from dora import Explorer +import treetable as tt + + +class MyExplorer(Explorer): + test_metrics = ['nsdr', 'sdr_med'] + + def get_grid_metrics(self): + """Return the metrics that should be displayed in the tracking table. + """ + return [ + tt.group("train", [ + tt.leaf("epoch"), + tt.leaf("reco", ".3f"), + ], align=">"), + tt.group("valid", [ + tt.leaf("penalty", ".1f"), + tt.leaf("ms", ".1f"), + tt.leaf("reco", ".2%"), + tt.leaf("breco", ".2%"), + tt.leaf("b_nsdr", ".2f"), + # tt.leaf("b_nsdr_drums", ".2f"), + # tt.leaf("b_nsdr_bass", ".2f"), + # tt.leaf("b_nsdr_other", ".2f"), + # tt.leaf("b_nsdr_vocals", ".2f"), + ], align=">"), + tt.group("test", [ + tt.leaf(name, ".2f") + for name in self.test_metrics + ], align=">") + ] + + def process_history(self, history): + train = { + 'epoch': len(history), + } + valid = {} + test = {} + best_v_main = float('inf') + breco = float('inf') + for metrics in history: + train.update(metrics['train']) + valid.update(metrics['valid']) + if 'main' in metrics['valid']: + best_v_main = min(best_v_main, metrics['valid']['main']['loss']) + valid['bmain'] = best_v_main + valid['breco'] = min(breco, metrics['valid']['reco']) + breco = valid['breco'] + if (metrics['valid']['loss'] == metrics['valid']['best'] or + metrics['valid'].get('nsdr') == metrics['valid']['best']): + for k, v in metrics['valid'].items(): + if k.startswith('reco_'): + valid['b_' + k[len('reco_'):]] = v + if k.startswith('nsdr'): + valid[f'b_{k}'] = v + if 'test' in metrics: + test.update(metrics['test']) + metrics = history[-1] + return {"train": train, "valid": valid, "test": test} diff --git a/ext/py/demucs/demucs/grids/mdx.py b/ext/py/demucs/demucs/grids/mdx.py new file mode 100644 index 0000000..62d447f --- /dev/null +++ b/ext/py/demucs/demucs/grids/mdx.py @@ -0,0 +1,33 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Main training for the Track A MDX models. +""" + +from ._explorers import MyExplorer +from ..train import main + + +TRACK_A = ['0d19c1c6', '7ecf8ec1', 'c511e2ab', '7d865c68'] + + +@MyExplorer +def explorer(launcher): + launcher.slurm_( + gpus=8, + time=3 * 24 * 60, + partition='learnlab') + + # Reproduce results from MDX competition Track A + # This trains the first round of models. Once this is trained, + # you will need to schedule `mdx_refine`. + for sig in TRACK_A: + xp = main.get_xp_from_sig(sig) + parent = xp.cfg.continue_from + xp = main.get_xp_from_sig(parent) + launcher(xp.argv) + launcher(xp.argv, {'quant.diffq': 1e-4}) + launcher(xp.argv, {'quant.diffq': 3e-4}) diff --git a/ext/py/demucs/demucs/grids/mdx_extra.py b/ext/py/demucs/demucs/grids/mdx_extra.py new file mode 100644 index 0000000..b99a37b --- /dev/null +++ b/ext/py/demucs/demucs/grids/mdx_extra.py @@ -0,0 +1,36 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Main training for the Track A MDX models. +""" + +from ._explorers import MyExplorer +from ..train import main + +TRACK_B = ['e51eebcc', 'a1d90b5c', '5d2d6c55', 'cfa93e08'] + + +@MyExplorer +def explorer(launcher): + launcher.slurm_( + gpus=8, + time=3 * 24 * 60, + partition='learnlab') + + # Reproduce results from MDX competition Track A + # This trains the first round of models. Once this is trained, + # you will need to schedule `mdx_refine`. + for sig in TRACK_B: + while sig is not None: + xp = main.get_xp_from_sig(sig) + sig = xp.cfg.continue_from + + for dset in ['extra44', 'extra_test']: + sub = launcher.bind(xp.argv, dset=dset) + sub() + if dset == 'extra_test': + sub({'quant.diffq': 1e-4}) + sub({'quant.diffq': 3e-4}) diff --git a/ext/py/demucs/demucs/grids/mdx_refine.py b/ext/py/demucs/demucs/grids/mdx_refine.py new file mode 100644 index 0000000..f62da1d --- /dev/null +++ b/ext/py/demucs/demucs/grids/mdx_refine.py @@ -0,0 +1,34 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Main training for the Track A MDX models. +""" + +from ._explorers import MyExplorer +from .mdx import TRACK_A +from ..train import main + + +@MyExplorer +def explorer(launcher): + launcher.slurm_( + gpus=8, + time=3 * 24 * 60, + partition='learnlab') + + # Reproduce results from MDX competition Track A + # WARNING: all the experiments in the `mdx` grid must have completed. + for sig in TRACK_A: + xp = main.get_xp_from_sig(sig) + launcher(xp.argv) + for diffq in [1e-4, 3e-4]: + xp_src = main.get_xp_from_sig(xp.cfg.continue_from) + q_argv = [f'quant.diffq={diffq}'] + actual_src = main.get_xp(xp_src.argv + q_argv) + actual_src.link.load() + assert len(actual_src.link.history) == actual_src.cfg.epochs + argv = xp.argv + q_argv + [f'continue_from="{actual_src.sig}"'] + launcher(argv) diff --git a/ext/py/demucs/demucs/grids/mmi.py b/ext/py/demucs/demucs/grids/mmi.py new file mode 100644 index 0000000..d75aa2b --- /dev/null +++ b/ext/py/demucs/demucs/grids/mmi.py @@ -0,0 +1,69 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from ._explorers import MyExplorer +from dora import Launcher + + +@MyExplorer +def explorer(launcher: Launcher): + launcher.slurm_(gpus=8, time=3 * 24 * 60, partition="devlab,learnlab,learnfair") # 3 days + + sub = launcher.bind_( + { + "dset": "extra_mmi_goodclean", + "test.shifts": 0, + "model": "htdemucs", + "htdemucs.dconv_mode": 3, + "htdemucs.depth": 4, + "htdemucs.t_dropout": 0.02, + "htdemucs.t_layers": 5, + "max_batches": 800, + "ema.epoch": [0.9, 0.95], + "ema.batch": [0.9995, 0.9999], + "dset.segment": 10, + "batch_size": 32, + } + ) + sub({"model": "hdemucs"}) + sub({"model": "hdemucs", "dset": "extra44"}) + sub({"model": "hdemucs", "dset": "musdb44"}) + + sparse = { + 'batch_size': 3 * 8, + 'augment.remix.group_size': 3, + 'htdemucs.t_auto_sparsity': True, + 'htdemucs.t_sparse_self_attn': True, + 'htdemucs.t_sparse_cross_attn': True, + 'htdemucs.t_sparsity': 0.9, + "htdemucs.t_layers": 7 + } + + with launcher.job_array(): + for transf_layers in [5, 7]: + for bottom_channels in [0, 512]: + sub = launcher.bind({ + "htdemucs.t_layers": transf_layers, + "htdemucs.bottom_channels": bottom_channels, + }) + if bottom_channels == 0 and transf_layers == 5: + sub({"augment.remix.proba": 0.0}) + sub({ + "augment.repitch.proba": 0.0, + # when doing repitching, we trim the outut to align on the + # highest change of BPM. When removing repitching, + # we simulate it here to ensure the training context is the same. + # Another second is lost for all experiments due to the random + # shift augmentation. + "dset.segment": 10 * 0.88}) + elif bottom_channels == 512 and transf_layers == 5: + sub(dset="musdb44") + sub(dset="extra44") + # Sparse kernel XP, currently not released as kernels are still experimental. + sub(sparse, {'dset.segment': 15, "htdemucs.t_layers": 7}) + + for duration in [5, 10, 15]: + sub({"dset.segment": duration}) diff --git a/ext/py/demucs/demucs/grids/mmi_ft.py b/ext/py/demucs/demucs/grids/mmi_ft.py new file mode 100644 index 0000000..73e488b --- /dev/null +++ b/ext/py/demucs/demucs/grids/mmi_ft.py @@ -0,0 +1,55 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from ._explorers import MyExplorer +from dora import Launcher +from demucs import train + + +def get_sub(launcher, sig): + xp = train.main.get_xp_from_sig(sig) + sub = launcher.bind(xp.argv) + sub() + sub.bind_({ + 'continue_from': sig, + 'continue_best': True}) + return sub + + +@MyExplorer +def explorer(launcher: Launcher): + launcher.slurm_(gpus=4, time=3 * 24 * 60, partition="devlab,learnlab,learnfair") # 3 days + ft = { + 'optim.lr': 1e-4, + 'augment.remix.proba': 0, + 'augment.scale.proba': 0, + 'augment.shift_same': True, + 'htdemucs.t_weight_decay': 0.05, + 'batch_size': 8, + 'optim.clip_grad': 5, + 'optim.optim': 'adamw', + 'epochs': 50, + 'dset.wav2_valid': True, + 'ema.epoch': [], # let's make valid a bit faster + } + with launcher.job_array(): + for sig in ['2899e11a']: + sub = get_sub(launcher, sig) + sub.bind_(ft) + for segment in [15, 18]: + for source in range(4): + w = [0] * 4 + w[source] = 1 + sub({'weights': w, 'dset.segment': segment}) + + for sig in ['955717e8']: + sub = get_sub(launcher, sig) + sub.bind_(ft) + for segment in [10, 15]: + for source in range(4): + w = [0] * 4 + w[source] = 1 + sub({'weights': w, 'dset.segment': segment}) diff --git a/ext/py/demucs/demucs/grids/repro.py b/ext/py/demucs/demucs/grids/repro.py new file mode 100644 index 0000000..21d33fc --- /dev/null +++ b/ext/py/demucs/demucs/grids/repro.py @@ -0,0 +1,50 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Easier training for reproducibility +""" + +from ._explorers import MyExplorer + + +@MyExplorer +def explorer(launcher): + launcher.slurm_( + gpus=8, + time=3 * 24 * 60, + partition='devlab,learnlab') + + launcher.bind_({'ema.epoch': [0.9, 0.95]}) + launcher.bind_({'ema.batch': [0.9995, 0.9999]}) + launcher.bind_({'epochs': 600}) + + base = {'model': 'demucs', 'demucs.dconv_mode': 0, 'demucs.gelu': False, + 'demucs.lstm_layers': 2} + newt = {'model': 'demucs', 'demucs.normalize': True} + hdem = {'model': 'hdemucs'} + svd = {'svd.penalty': 1e-5, 'svd': 'base2'} + + with launcher.job_array(): + for model in [base, newt, hdem]: + sub = launcher.bind(model) + if model is base: + # Training the v2 Demucs on MusDB HQ + sub(epochs=360) + continue + + # those two will be used in the repro_mdx_a bag of models. + sub(svd) + sub(svd, seed=43) + if model == newt: + # Ablation study + sub() + abl = sub.bind(svd) + abl({'ema.epoch': [], 'ema.batch': []}) + abl({'demucs.dconv_lstm': 10}) + abl({'demucs.dconv_attn': 10}) + abl({'demucs.dconv_attn': 10, 'demucs.dconv_lstm': 10, 'demucs.lstm_layers': 2}) + abl({'demucs.dconv_mode': 0}) + abl({'demucs.gelu': False}) diff --git a/ext/py/demucs/demucs/grids/repro_ft.py b/ext/py/demucs/demucs/grids/repro_ft.py new file mode 100644 index 0000000..7bb4ee8 --- /dev/null +++ b/ext/py/demucs/demucs/grids/repro_ft.py @@ -0,0 +1,46 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Fine tuning experiments +""" + +from ._explorers import MyExplorer +from ..train import main + + +@MyExplorer +def explorer(launcher): + launcher.slurm_( + gpus=8, + time=300, + partition='devlab,learnlab') + + # Mus + launcher.slurm_(constraint='volta32gb') + + grid = "repro" + folder = main.dora.dir / "grids" / grid + + for sig in folder.iterdir(): + if not sig.is_symlink(): + continue + xp = main.get_xp_from_sig(sig) + xp.link.load() + if len(xp.link.history) != xp.cfg.epochs: + continue + sub = launcher.bind(xp.argv, [f'continue_from="{xp.sig}"']) + sub.bind_({'ema.epoch': [0.9, 0.95], 'ema.batch': [0.9995, 0.9999]}) + sub.bind_({'test.every': 1, 'test.sdr': True, 'epochs': 4}) + sub.bind_({'dset.segment': 28, 'dset.shift': 2}) + sub.bind_({'batch_size': 32}) + auto = {'dset': 'auto_mus'} + auto.update({'augment.remix.proba': 0, 'augment.scale.proba': 0, + 'augment.shift_same': True}) + sub.bind_(auto) + sub.bind_({'batch_size': 16}) + sub.bind_({'optim.lr': 1e-4}) + sub.bind_({'model_segment': 44}) + sub() diff --git a/ext/py/demucs/demucs/grids/sdx23.py b/ext/py/demucs/demucs/grids/sdx23.py new file mode 100644 index 0000000..3bdb419 --- /dev/null +++ b/ext/py/demucs/demucs/grids/sdx23.py @@ -0,0 +1,19 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from ._explorers import MyExplorer +from dora import Launcher + + +@MyExplorer +def explorer(launcher: Launcher): + launcher.slurm_(gpus=8, time=3 * 24 * 60, partition="speechgpt,learnfair", + mem_per_gpu=None, constraint='') + launcher.bind_({"dset.use_musdb": False}) + + with launcher.job_array(): + launcher(dset='sdx23_bleeding') + launcher(dset='sdx23_labelnoise') diff --git a/ext/py/demucs/demucs/hdemucs.py b/ext/py/demucs/demucs/hdemucs.py new file mode 100644 index 0000000..9992b60 --- /dev/null +++ b/ext/py/demucs/demucs/hdemucs.py @@ -0,0 +1,796 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +This code contains the spectrogram and Hybrid version of Demucs. +""" +from copy import deepcopy +import math +import typing as tp + +from openunmix.filtering import wiener +import torch +from torch import nn +from torch.nn import functional as F + +from .demucs import DConv, rescale_module +from .states import capture_init +from .spec import spectro, ispectro + + +def pad1d(x: torch.Tensor, paddings: tp.Tuple[int, int], mode: str = 'constant', value: float = 0.): + """Tiny wrapper around F.pad, just to allow for reflect padding on small input. + If this is the case, we insert extra 0 padding to the right before the reflection happen.""" + x0 = x + length = x.shape[-1] + padding_left, padding_right = paddings + if mode == 'reflect': + max_pad = max(padding_left, padding_right) + if length <= max_pad: + extra_pad = max_pad - length + 1 + extra_pad_right = min(padding_right, extra_pad) + extra_pad_left = extra_pad - extra_pad_right + paddings = (padding_left - extra_pad_left, padding_right - extra_pad_right) + x = F.pad(x, (extra_pad_left, extra_pad_right)) + out = F.pad(x, paddings, mode, value) + assert out.shape[-1] == length + padding_left + padding_right + assert (out[..., padding_left: padding_left + length] == x0).all() + return out + + +class ScaledEmbedding(nn.Module): + """ + Boost learning rate for embeddings (with `scale`). + Also, can make embeddings continuous with `smooth`. + """ + def __init__(self, num_embeddings: int, embedding_dim: int, + scale: float = 10., smooth=False): + super().__init__() + self.embedding = nn.Embedding(num_embeddings, embedding_dim) + if smooth: + weight = torch.cumsum(self.embedding.weight.data, dim=0) + # when summing gaussian, overscale raises as sqrt(n), so we nornalize by that. + weight = weight / torch.arange(1, num_embeddings + 1).to(weight).sqrt()[:, None] + self.embedding.weight.data[:] = weight + self.embedding.weight.data /= scale + self.scale = scale + + @property + def weight(self): + return self.embedding.weight * self.scale + + def forward(self, x): + out = self.embedding(x) * self.scale + return out + + +class HEncLayer(nn.Module): + def __init__(self, chin, chout, kernel_size=8, stride=4, norm_groups=1, empty=False, + freq=True, dconv=True, norm=True, context=0, dconv_kw={}, pad=True, + rewrite=True): + """Encoder layer. This used both by the time and the frequency branch. + + Args: + chin: number of input channels. + chout: number of output channels. + norm_groups: number of groups for group norm. + empty: used to make a layer with just the first conv. this is used + before merging the time and freq. branches. + freq: this is acting on frequencies. + dconv: insert DConv residual branches. + norm: use GroupNorm. + context: context size for the 1x1 conv. + dconv_kw: list of kwargs for the DConv class. + pad: pad the input. Padding is done so that the output size is + always the input size / stride. + rewrite: add 1x1 conv at the end of the layer. + """ + super().__init__() + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + if pad: + pad = kernel_size // 4 + else: + pad = 0 + klass = nn.Conv1d + self.freq = freq + self.kernel_size = kernel_size + self.stride = stride + self.empty = empty + self.norm = norm + self.pad = pad + if freq: + kernel_size = [kernel_size, 1] + stride = [stride, 1] + pad = [pad, 0] + klass = nn.Conv2d + self.conv = klass(chin, chout, kernel_size, stride, pad) + if self.empty: + return + self.norm1 = norm_fn(chout) + self.rewrite = None + if rewrite: + self.rewrite = klass(chout, 2 * chout, 1 + 2 * context, 1, context) + self.norm2 = norm_fn(2 * chout) + + self.dconv = None + if dconv: + self.dconv = DConv(chout, **dconv_kw) + + def forward(self, x, inject=None): + """ + `inject` is used to inject the result from the time branch into the frequency branch, + when both have the same stride. + """ + if not self.freq and x.dim() == 4: + B, C, Fr, T = x.shape + x = x.view(B, -1, T) + + if not self.freq: + le = x.shape[-1] + if not le % self.stride == 0: + x = F.pad(x, (0, self.stride - (le % self.stride))) + y = self.conv(x) + if self.empty: + return y + if inject is not None: + assert inject.shape[-1] == y.shape[-1], (inject.shape, y.shape) + if inject.dim() == 3 and y.dim() == 4: + inject = inject[:, :, None] + y = y + inject + y = F.gelu(self.norm1(y)) + if self.dconv: + if self.freq: + B, C, Fr, T = y.shape + y = y.permute(0, 2, 1, 3).reshape(-1, C, T) + y = self.dconv(y) + if self.freq: + y = y.view(B, Fr, C, T).permute(0, 2, 1, 3) + if self.rewrite: + z = self.norm2(self.rewrite(y)) + z = F.glu(z, dim=1) + else: + z = y + return z + + +class MultiWrap(nn.Module): + """ + Takes one layer and replicate it N times. each replica will act + on a frequency band. All is done so that if the N replica have the same weights, + then this is exactly equivalent to applying the original module on all frequencies. + + This is a bit over-engineered to avoid edge artifacts when splitting + the frequency bands, but it is possible the naive implementation would work as well... + """ + def __init__(self, layer, split_ratios): + """ + Args: + layer: module to clone, must be either HEncLayer or HDecLayer. + split_ratios: list of float indicating which ratio to keep for each band. + """ + super().__init__() + self.split_ratios = split_ratios + self.layers = nn.ModuleList() + self.conv = isinstance(layer, HEncLayer) + assert not layer.norm + assert layer.freq + assert layer.pad + if not self.conv: + assert not layer.context_freq + for k in range(len(split_ratios) + 1): + lay = deepcopy(layer) + if self.conv: + lay.conv.padding = (0, 0) + else: + lay.pad = False + for m in lay.modules(): + if hasattr(m, 'reset_parameters'): + m.reset_parameters() + self.layers.append(lay) + + def forward(self, x, skip=None, length=None): + B, C, Fr, T = x.shape + + ratios = list(self.split_ratios) + [1] + start = 0 + outs = [] + for ratio, layer in zip(ratios, self.layers): + if self.conv: + pad = layer.kernel_size // 4 + if ratio == 1: + limit = Fr + frames = -1 + else: + limit = int(round(Fr * ratio)) + le = limit - start + if start == 0: + le += pad + frames = round((le - layer.kernel_size) / layer.stride + 1) + limit = start + (frames - 1) * layer.stride + layer.kernel_size + if start == 0: + limit -= pad + assert limit - start > 0, (limit, start) + assert limit <= Fr, (limit, Fr) + y = x[:, :, start:limit, :] + if start == 0: + y = F.pad(y, (0, 0, pad, 0)) + if ratio == 1: + y = F.pad(y, (0, 0, 0, pad)) + outs.append(layer(y)) + start = limit - layer.kernel_size + layer.stride + else: + if ratio == 1: + limit = Fr + else: + limit = int(round(Fr * ratio)) + last = layer.last + layer.last = True + + y = x[:, :, start:limit] + s = skip[:, :, start:limit] + out, _ = layer(y, s, None) + if outs: + outs[-1][:, :, -layer.stride:] += ( + out[:, :, :layer.stride] - layer.conv_tr.bias.view(1, -1, 1, 1)) + out = out[:, :, layer.stride:] + if ratio == 1: + out = out[:, :, :-layer.stride // 2, :] + if start == 0: + out = out[:, :, layer.stride // 2:, :] + outs.append(out) + layer.last = last + start = limit + out = torch.cat(outs, dim=2) + if not self.conv and not last: + out = F.gelu(out) + if self.conv: + return out + else: + return out, None + + +class HDecLayer(nn.Module): + def __init__(self, chin, chout, last=False, kernel_size=8, stride=4, norm_groups=1, empty=False, + freq=True, dconv=True, norm=True, context=1, dconv_kw={}, pad=True, + context_freq=True, rewrite=True): + """ + Same as HEncLayer but for decoder. See `HEncLayer` for documentation. + """ + super().__init__() + norm_fn = lambda d: nn.Identity() # noqa + if norm: + norm_fn = lambda d: nn.GroupNorm(norm_groups, d) # noqa + if pad: + pad = kernel_size // 4 + else: + pad = 0 + self.pad = pad + self.last = last + self.freq = freq + self.chin = chin + self.empty = empty + self.stride = stride + self.kernel_size = kernel_size + self.norm = norm + self.context_freq = context_freq + klass = nn.Conv1d + klass_tr = nn.ConvTranspose1d + if freq: + kernel_size = [kernel_size, 1] + stride = [stride, 1] + klass = nn.Conv2d + klass_tr = nn.ConvTranspose2d + self.conv_tr = klass_tr(chin, chout, kernel_size, stride) + self.norm2 = norm_fn(chout) + if self.empty: + return + self.rewrite = None + if rewrite: + if context_freq: + self.rewrite = klass(chin, 2 * chin, 1 + 2 * context, 1, context) + else: + self.rewrite = klass(chin, 2 * chin, [1, 1 + 2 * context], 1, + [0, context]) + self.norm1 = norm_fn(2 * chin) + + self.dconv = None + if dconv: + self.dconv = DConv(chin, **dconv_kw) + + def forward(self, x, skip, length): + if self.freq and x.dim() == 3: + B, C, T = x.shape + x = x.view(B, self.chin, -1, T) + + if not self.empty: + x = x + skip + + if self.rewrite: + y = F.glu(self.norm1(self.rewrite(x)), dim=1) + else: + y = x + if self.dconv: + if self.freq: + B, C, Fr, T = y.shape + y = y.permute(0, 2, 1, 3).reshape(-1, C, T) + y = self.dconv(y) + if self.freq: + y = y.view(B, Fr, C, T).permute(0, 2, 1, 3) + else: + y = x + assert skip is None + z = self.norm2(self.conv_tr(y)) + if self.freq: + if self.pad: + z = z[..., self.pad:-self.pad, :] + else: + z = z[..., self.pad:self.pad + length] + assert z.shape[-1] == length, (z.shape[-1], length) + if not self.last: + z = F.gelu(z) + return z, y + + +class HDemucs(nn.Module): + """ + Spectrogram and hybrid Demucs model. + The spectrogram model has the same structure as Demucs, except the first few layers are over the + frequency axis, until there is only 1 frequency, and then it moves to time convolutions. + Frequency layers can still access information across time steps thanks to the DConv residual. + + Hybrid model have a parallel time branch. At some layer, the time branch has the same stride + as the frequency branch and then the two are combined. The opposite happens in the decoder. + + Models can either use naive iSTFT from masking, Wiener filtering ([Ulhih et al. 2017]), + or complex as channels (CaC) [Choi et al. 2020]. Wiener filtering is based on + Open Unmix implementation [Stoter et al. 2019]. + + The loss is always on the temporal domain, by backpropagating through the above + output methods and iSTFT. This allows to define hybrid models nicely. However, this breaks + a bit Wiener filtering, as doing more iteration at test time will change the spectrogram + contribution, without changing the one from the waveform, which will lead to worse performance. + I tried using the residual option in OpenUnmix Wiener implementation, but it didn't improve. + CaC on the other hand provides similar performance for hybrid, and works naturally with + hybrid models. + + This model also uses frequency embeddings are used to improve efficiency on convolutions + over the freq. axis, following [Isik et al. 2020] (https://arxiv.org/pdf/2008.04470.pdf). + + Unlike classic Demucs, there is no resampling here, and normalization is always applied. + """ + @capture_init + def __init__(self, + sources, + # Channels + audio_channels=2, + channels=48, + channels_time=None, + growth=2, + # STFT + nfft=4096, + wiener_iters=0, + end_iters=0, + wiener_residual=False, + cac=True, + # Main structure + depth=6, + rewrite=True, + hybrid=True, + hybrid_old=False, + # Frequency branch + multi_freqs=None, + multi_freqs_depth=2, + freq_emb=0.2, + emb_scale=10, + emb_smooth=True, + # Convolutions + kernel_size=8, + time_stride=2, + stride=4, + context=1, + context_enc=0, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=4, + dconv_attn=4, + dconv_lstm=4, + dconv_init=1e-4, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=4 * 10): + """ + Args: + sources (list[str]): list of source names. + audio_channels (int): input/output audio channels. + channels (int): initial number of hidden channels. + channels_time: if not None, use a different `channels` value for the time branch. + growth: increase the number of hidden channels by this factor at each layer. + nfft: number of fft bins. Note that changing this require careful computation of + various shape parameters and will not work out of the box for hybrid models. + wiener_iters: when using Wiener filtering, number of iterations at test time. + end_iters: same but at train time. For a hybrid model, must be equal to `wiener_iters`. + wiener_residual: add residual source before wiener filtering. + cac: uses complex as channels, i.e. complex numbers are 2 channels each + in input and output. no further processing is done before ISTFT. + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + hybrid (bool): make a hybrid time/frequency domain, otherwise frequency only. + hybrid_old: some models trained for MDX had a padding bug. This replicates + this bug to avoid retraining them. + multi_freqs: list of frequency ratios for splitting frequency bands with `MultiWrap`. + multi_freqs_depth: how many layers to wrap with `MultiWrap`. Only the outermost + layers will be wrapped. + freq_emb: add frequency embedding after the first frequency layer if > 0, + the actual value controls the weight of the embedding. + emb_scale: equivalent to scaling the embedding learning rate + emb_smooth: initialize the embedding with a smooth one (with respect to frequencies). + kernel_size: kernel_size for encoder and decoder layers. + stride: stride for encoder and decoder layers. + time_stride: stride for the final time layer, after the merge. + context: context for 1x1 conv in the decoder. + context_enc: context for 1x1 conv in the encoder. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + rescale: weight recaling trick + + """ + super().__init__() + self.cac = cac + self.wiener_residual = wiener_residual + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.channels = channels + self.samplerate = samplerate + self.segment = segment + + self.nfft = nfft + self.hop_length = nfft // 4 + self.wiener_iters = wiener_iters + self.end_iters = end_iters + self.freq_emb = None + self.hybrid = hybrid + self.hybrid_old = hybrid_old + if hybrid_old: + assert hybrid, "hybrid_old must come with hybrid=True" + if hybrid: + assert wiener_iters == end_iters + + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + + if hybrid: + self.tencoder = nn.ModuleList() + self.tdecoder = nn.ModuleList() + + chin = audio_channels + chin_z = chin # number of channels for the freq branch + if self.cac: + chin_z *= 2 + chout = channels_time or channels + chout_z = channels + freqs = nfft // 2 + + for index in range(depth): + lstm = index >= dconv_lstm + attn = index >= dconv_attn + norm = index >= norm_starts + freq = freqs > 1 + stri = stride + ker = kernel_size + if not freq: + assert freqs == 1 + ker = time_stride * 2 + stri = time_stride + + pad = True + last_freq = False + if freq and freqs <= kernel_size: + ker = freqs + pad = False + last_freq = True + + kw = { + 'kernel_size': ker, + 'stride': stri, + 'freq': freq, + 'pad': pad, + 'norm': norm, + 'rewrite': rewrite, + 'norm_groups': norm_groups, + 'dconv_kw': { + 'lstm': lstm, + 'attn': attn, + 'depth': dconv_depth, + 'compress': dconv_comp, + 'init': dconv_init, + 'gelu': True, + } + } + kwt = dict(kw) + kwt['freq'] = 0 + kwt['kernel_size'] = kernel_size + kwt['stride'] = stride + kwt['pad'] = True + kw_dec = dict(kw) + multi = False + if multi_freqs and index < multi_freqs_depth: + multi = True + kw_dec['context_freq'] = False + + if last_freq: + chout_z = max(chout, chout_z) + chout = chout_z + + enc = HEncLayer(chin_z, chout_z, + dconv=dconv_mode & 1, context=context_enc, **kw) + if hybrid and freq: + tenc = HEncLayer(chin, chout, dconv=dconv_mode & 1, context=context_enc, + empty=last_freq, **kwt) + self.tencoder.append(tenc) + + if multi: + enc = MultiWrap(enc, multi_freqs) + self.encoder.append(enc) + if index == 0: + chin = self.audio_channels * len(self.sources) + chin_z = chin + if self.cac: + chin_z *= 2 + dec = HDecLayer(chout_z, chin_z, dconv=dconv_mode & 2, + last=index == 0, context=context, **kw_dec) + if multi: + dec = MultiWrap(dec, multi_freqs) + if hybrid and freq: + tdec = HDecLayer(chout, chin, dconv=dconv_mode & 2, empty=last_freq, + last=index == 0, context=context, **kwt) + self.tdecoder.insert(0, tdec) + self.decoder.insert(0, dec) + + chin = chout + chin_z = chout_z + chout = int(growth * chout) + chout_z = int(growth * chout_z) + if freq: + if freqs <= kernel_size: + freqs = 1 + else: + freqs //= stride + if index == 0 and freq_emb: + self.freq_emb = ScaledEmbedding( + freqs, chin_z, smooth=emb_smooth, scale=emb_scale) + self.freq_emb_scale = freq_emb + + if rescale: + rescale_module(self, reference=rescale) + + def _spec(self, x): + hl = self.hop_length + nfft = self.nfft + x0 = x # noqa + + if self.hybrid: + # We re-pad the signal in order to keep the property + # that the size of the output is exactly the size of the input + # divided by the stride (here hop_length), when divisible. + # This is achieved by padding by 1/4th of the kernel size (here nfft). + # which is not supported by torch.stft. + # Having all convolution operations follow this convention allow to easily + # align the time and frequency branches later on. + assert hl == nfft // 4 + le = int(math.ceil(x.shape[-1] / hl)) + pad = hl // 2 * 3 + if not self.hybrid_old: + x = pad1d(x, (pad, pad + le * hl - x.shape[-1]), mode='reflect') + else: + x = pad1d(x, (pad, pad + le * hl - x.shape[-1])) + + z = spectro(x, nfft, hl)[..., :-1, :] + if self.hybrid: + assert z.shape[-1] == le + 4, (z.shape, x.shape, le) + z = z[..., 2:2+le] + return z + + def _ispec(self, z, length=None, scale=0): + hl = self.hop_length // (4 ** scale) + z = F.pad(z, (0, 0, 0, 1)) + if self.hybrid: + z = F.pad(z, (2, 2)) + pad = hl // 2 * 3 + if not self.hybrid_old: + le = hl * int(math.ceil(length / hl)) + 2 * pad + else: + le = hl * int(math.ceil(length / hl)) + x = ispectro(z, hl, length=le) + if not self.hybrid_old: + x = x[..., pad:pad + length] + else: + x = x[..., :length] + else: + x = ispectro(z, hl, length) + return x + + def _magnitude(self, z): + # return the magnitude of the spectrogram, except when cac is True, + # in which case we just move the complex dimension to the channel one. + if self.cac: + B, C, Fr, T = z.shape + m = torch.view_as_real(z).permute(0, 1, 4, 2, 3) + m = m.reshape(B, C * 2, Fr, T) + else: + m = z.abs() + return m + + def _mask(self, z, m): + # Apply masking given the mixture spectrogram `z` and the estimated mask `m`. + # If `cac` is True, `m` is actually a full spectrogram and `z` is ignored. + niters = self.wiener_iters + if self.cac: + B, S, C, Fr, T = m.shape + out = m.view(B, S, -1, 2, Fr, T).permute(0, 1, 2, 4, 5, 3) + out = torch.view_as_complex(out.contiguous()) + return out + if self.training: + niters = self.end_iters + if niters < 0: + z = z[:, None] + return z / (1e-8 + z.abs()) * m + else: + return self._wiener(m, z, niters) + + def _wiener(self, mag_out, mix_stft, niters): + # apply wiener filtering from OpenUnmix. + init = mix_stft.dtype + wiener_win_len = 300 + residual = self.wiener_residual + + B, S, C, Fq, T = mag_out.shape + mag_out = mag_out.permute(0, 4, 3, 2, 1) + mix_stft = torch.view_as_real(mix_stft.permute(0, 3, 2, 1)) + + outs = [] + for sample in range(B): + pos = 0 + out = [] + for pos in range(0, T, wiener_win_len): + frame = slice(pos, pos + wiener_win_len) + z_out = wiener( + mag_out[sample, frame], mix_stft[sample, frame], niters, + residual=residual) + out.append(z_out.transpose(-1, -2)) + outs.append(torch.cat(out, dim=0)) + out = torch.view_as_complex(torch.stack(outs, 0)) + out = out.permute(0, 4, 3, 2, 1).contiguous() + if residual: + out = out[:, :-1] + assert list(out.shape) == [B, S, C, Fq, T] + return out.to(init) + + def forward(self, mix): + x = mix + length = x.shape[-1] + + z = self._spec(mix) + mag = self._magnitude(z).to(mix.device) + x = mag + + B, C, Fq, T = x.shape + + # unlike previous Demucs, we always normalize because it is easier. + mean = x.mean(dim=(1, 2, 3), keepdim=True) + std = x.std(dim=(1, 2, 3), keepdim=True) + x = (x - mean) / (1e-5 + std) + # x will be the freq. branch input. + + if self.hybrid: + # Prepare the time branch input. + xt = mix + meant = xt.mean(dim=(1, 2), keepdim=True) + stdt = xt.std(dim=(1, 2), keepdim=True) + xt = (xt - meant) / (1e-5 + stdt) + + # okay, this is a giant mess I know... + saved = [] # skip connections, freq. + saved_t = [] # skip connections, time. + lengths = [] # saved lengths to properly remove padding, freq branch. + lengths_t = [] # saved lengths for time branch. + for idx, encode in enumerate(self.encoder): + lengths.append(x.shape[-1]) + inject = None + if self.hybrid and idx < len(self.tencoder): + # we have not yet merged branches. + lengths_t.append(xt.shape[-1]) + tenc = self.tencoder[idx] + xt = tenc(xt) + if not tenc.empty: + # save for skip connection + saved_t.append(xt) + else: + # tenc contains just the first conv., so that now time and freq. + # branches have the same shape and can be merged. + inject = xt + x = encode(x, inject) + if idx == 0 and self.freq_emb is not None: + # add frequency embedding to allow for non equivariant convolutions + # over the frequency axis. + frs = torch.arange(x.shape[-2], device=x.device) + emb = self.freq_emb(frs).t()[None, :, :, None].expand_as(x) + x = x + self.freq_emb_scale * emb + + saved.append(x) + + x = torch.zeros_like(x) + if self.hybrid: + xt = torch.zeros_like(x) + # initialize everything to zero (signal will go through u-net skips). + + for idx, decode in enumerate(self.decoder): + skip = saved.pop(-1) + x, pre = decode(x, skip, lengths.pop(-1)) + # `pre` contains the output just before final transposed convolution, + # which is used when the freq. and time branch separate. + + if self.hybrid: + offset = self.depth - len(self.tdecoder) + if self.hybrid and idx >= offset: + tdec = self.tdecoder[idx - offset] + length_t = lengths_t.pop(-1) + if tdec.empty: + assert pre.shape[2] == 1, pre.shape + pre = pre[:, :, 0] + xt, _ = tdec(pre, None, length_t) + else: + skip = saved_t.pop(-1) + xt, _ = tdec(xt, skip, length_t) + + # Let's make sure we used all stored skip connections. + assert len(saved) == 0 + assert len(lengths_t) == 0 + assert len(saved_t) == 0 + + S = len(self.sources) + x = x.view(B, S, -1, Fq, T) + x = x * std[:, None] + mean[:, None] + + # to cpu as mps doesnt support complex numbers + # demucs issue #435 ##432 + # NOTE: in this case z already is on cpu + # TODO: remove this when mps supports complex numbers + x_is_mps_xpu = x.device.type in ["mps", "xpu"] + x_device = x.device + if x_is_mps_xpu: + x = x.cpu() + + zout = self._mask(z, x) + x = self._ispec(zout, length) + + # back to mps device + if x_is_mps_xpu: + x = x.to(x_device) + + + if self.hybrid: + xt = xt.view(B, S, -1, length) + xt = xt * stdt[:, None] + meant[:, None] + x = xt + x + return x diff --git a/ext/py/demucs/demucs/htdemucs.py b/ext/py/demucs/demucs/htdemucs.py new file mode 100644 index 0000000..5656860 --- /dev/null +++ b/ext/py/demucs/demucs/htdemucs.py @@ -0,0 +1,661 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# First author is Simon Rouard. +""" +This code contains the spectrogram and Hybrid version of Demucs. +""" +import math + +from openunmix.filtering import wiener +import torch +from torch import nn +from torch.nn import functional as F +from fractions import Fraction +from einops import rearrange + +from .transformer import CrossTransformerEncoder + +from .demucs import rescale_module +from .states import capture_init +from .spec import spectro, ispectro +from .hdemucs import pad1d, ScaledEmbedding, HEncLayer, MultiWrap, HDecLayer + + +class HTDemucs(nn.Module): + """ + Spectrogram and hybrid Demucs model. + The spectrogram model has the same structure as Demucs, except the first few layers are over the + frequency axis, until there is only 1 frequency, and then it moves to time convolutions. + Frequency layers can still access information across time steps thanks to the DConv residual. + + Hybrid model have a parallel time branch. At some layer, the time branch has the same stride + as the frequency branch and then the two are combined. The opposite happens in the decoder. + + Models can either use naive iSTFT from masking, Wiener filtering ([Ulhih et al. 2017]), + or complex as channels (CaC) [Choi et al. 2020]. Wiener filtering is based on + Open Unmix implementation [Stoter et al. 2019]. + + The loss is always on the temporal domain, by backpropagating through the above + output methods and iSTFT. This allows to define hybrid models nicely. However, this breaks + a bit Wiener filtering, as doing more iteration at test time will change the spectrogram + contribution, without changing the one from the waveform, which will lead to worse performance. + I tried using the residual option in OpenUnmix Wiener implementation, but it didn't improve. + CaC on the other hand provides similar performance for hybrid, and works naturally with + hybrid models. + + This model also uses frequency embeddings are used to improve efficiency on convolutions + over the freq. axis, following [Isik et al. 2020] (https://arxiv.org/pdf/2008.04470.pdf). + + Unlike classic Demucs, there is no resampling here, and normalization is always applied. + """ + + @capture_init + def __init__( + self, + sources, + # Channels + audio_channels=2, + channels=48, + channels_time=None, + growth=2, + # STFT + nfft=4096, + wiener_iters=0, + end_iters=0, + wiener_residual=False, + cac=True, + # Main structure + depth=4, + rewrite=True, + # Frequency branch + multi_freqs=None, + multi_freqs_depth=3, + freq_emb=0.2, + emb_scale=10, + emb_smooth=True, + # Convolutions + kernel_size=8, + time_stride=2, + stride=4, + context=1, + context_enc=0, + # Normalization + norm_starts=4, + norm_groups=4, + # DConv residual branch + dconv_mode=1, + dconv_depth=2, + dconv_comp=8, + dconv_init=1e-3, + # Before the Transformer + bottom_channels=0, + # Transformer + t_layers=5, + t_emb="sin", + t_hidden_scale=4.0, + t_heads=8, + t_dropout=0.0, + t_max_positions=10000, + t_norm_in=True, + t_norm_in_group=False, + t_group_norm=False, + t_norm_first=True, + t_norm_out=True, + t_max_period=10000.0, + t_weight_decay=0.0, + t_lr=None, + t_layer_scale=True, + t_gelu=True, + t_weight_pos_embed=1.0, + t_sin_random_shift=0, + t_cape_mean_normalize=True, + t_cape_augment=True, + t_cape_glob_loc_scale=[5000.0, 1.0, 1.4], + t_sparse_self_attn=False, + t_sparse_cross_attn=False, + t_mask_type="diag", + t_mask_random_seed=42, + t_sparse_attn_window=500, + t_global_window=100, + t_sparsity=0.95, + t_auto_sparsity=False, + # ------ Particuliar parameters + t_cross_first=False, + # Weight init + rescale=0.1, + # Metadata + samplerate=44100, + segment=10, + use_train_segment=True, + ): + """ + Args: + sources (list[str]): list of source names. + audio_channels (int): input/output audio channels. + channels (int): initial number of hidden channels. + channels_time: if not None, use a different `channels` value for the time branch. + growth: increase the number of hidden channels by this factor at each layer. + nfft: number of fft bins. Note that changing this require careful computation of + various shape parameters and will not work out of the box for hybrid models. + wiener_iters: when using Wiener filtering, number of iterations at test time. + end_iters: same but at train time. For a hybrid model, must be equal to `wiener_iters`. + wiener_residual: add residual source before wiener filtering. + cac: uses complex as channels, i.e. complex numbers are 2 channels each + in input and output. no further processing is done before ISTFT. + depth (int): number of layers in the encoder and in the decoder. + rewrite (bool): add 1x1 convolution to each layer. + multi_freqs: list of frequency ratios for splitting frequency bands with `MultiWrap`. + multi_freqs_depth: how many layers to wrap with `MultiWrap`. Only the outermost + layers will be wrapped. + freq_emb: add frequency embedding after the first frequency layer if > 0, + the actual value controls the weight of the embedding. + emb_scale: equivalent to scaling the embedding learning rate + emb_smooth: initialize the embedding with a smooth one (with respect to frequencies). + kernel_size: kernel_size for encoder and decoder layers. + stride: stride for encoder and decoder layers. + time_stride: stride for the final time layer, after the merge. + context: context for 1x1 conv in the decoder. + context_enc: context for 1x1 conv in the encoder. + norm_starts: layer at which group norm starts being used. + decoder layers are numbered in reverse order. + norm_groups: number of groups for group norm. + dconv_mode: if 1: dconv in encoder only, 2: decoder only, 3: both. + dconv_depth: depth of residual DConv branch. + dconv_comp: compression of DConv branch. + dconv_attn: adds attention layers in DConv branch starting at this layer. + dconv_lstm: adds a LSTM layer in DConv branch starting at this layer. + dconv_init: initial scale for the DConv branch LayerScale. + bottom_channels: if >0 it adds a linear layer (1x1 Conv) before and after the + transformer in order to change the number of channels + t_layers: number of layers in each branch (waveform and spec) of the transformer + t_emb: "sin", "cape" or "scaled" + t_hidden_scale: the hidden scale of the Feedforward parts of the transformer + for instance if C = 384 (the number of channels in the transformer) and + t_hidden_scale = 4.0 then the intermediate layer of the FFN has dimension + 384 * 4 = 1536 + t_heads: number of heads for the transformer + t_dropout: dropout in the transformer + t_max_positions: max_positions for the "scaled" positional embedding, only + useful if t_emb="scaled" + t_norm_in: (bool) norm before addinf positional embedding and getting into the + transformer layers + t_norm_in_group: (bool) if True while t_norm_in=True, the norm is on all the + timesteps (GroupNorm with group=1) + t_group_norm: (bool) if True, the norms of the Encoder Layers are on all the + timesteps (GroupNorm with group=1) + t_norm_first: (bool) if True the norm is before the attention and before the FFN + t_norm_out: (bool) if True, there is a GroupNorm (group=1) at the end of each layer + t_max_period: (float) denominator in the sinusoidal embedding expression + t_weight_decay: (float) weight decay for the transformer + t_lr: (float) specific learning rate for the transformer + t_layer_scale: (bool) Layer Scale for the transformer + t_gelu: (bool) activations of the transformer are GeLU if True, ReLU else + t_weight_pos_embed: (float) weighting of the positional embedding + t_cape_mean_normalize: (bool) if t_emb="cape", normalisation of positional embeddings + see: https://arxiv.org/abs/2106.03143 + t_cape_augment: (bool) if t_emb="cape", must be True during training and False + during the inference, see: https://arxiv.org/abs/2106.03143 + t_cape_glob_loc_scale: (list of 3 floats) if t_emb="cape", CAPE parameters + see: https://arxiv.org/abs/2106.03143 + t_sparse_self_attn: (bool) if True, the self attentions are sparse + t_sparse_cross_attn: (bool) if True, the cross-attentions are sparse (don't use it + unless you designed really specific masks) + t_mask_type: (str) can be "diag", "jmask", "random", "global" or any combination + with '_' between: i.e. "diag_jmask_random" (note that this is permutation + invariant i.e. "diag_jmask_random" is equivalent to "jmask_random_diag") + t_mask_random_seed: (int) if "random" is in t_mask_type, controls the seed + that generated the random part of the mask + t_sparse_attn_window: (int) if "diag" is in t_mask_type, for a query (i), and + a key (j), the mask is True id |i-j|<=t_sparse_attn_window + t_global_window: (int) if "global" is in t_mask_type, mask[:t_global_window, :] + and mask[:, :t_global_window] will be True + t_sparsity: (float) if "random" is in t_mask_type, t_sparsity is the sparsity + level of the random part of the mask. + t_cross_first: (bool) if True cross attention is the first layer of the + transformer (False seems to be better) + rescale: weight rescaling trick + use_train_segment: (bool) if True, the actual size that is used during the + training is used during inference. + """ + super().__init__() + self.cac = cac + self.wiener_residual = wiener_residual + self.audio_channels = audio_channels + self.sources = sources + self.kernel_size = kernel_size + self.context = context + self.stride = stride + self.depth = depth + self.bottom_channels = bottom_channels + self.channels = channels + self.samplerate = samplerate + self.segment = segment + self.use_train_segment = use_train_segment + self.nfft = nfft + self.hop_length = nfft // 4 + self.wiener_iters = wiener_iters + self.end_iters = end_iters + self.freq_emb = None + assert wiener_iters == end_iters + + self.encoder = nn.ModuleList() + self.decoder = nn.ModuleList() + + self.tencoder = nn.ModuleList() + self.tdecoder = nn.ModuleList() + + chin = audio_channels + chin_z = chin # number of channels for the freq branch + if self.cac: + chin_z *= 2 + chout = channels_time or channels + chout_z = channels + freqs = nfft // 2 + + for index in range(depth): + norm = index >= norm_starts + freq = freqs > 1 + stri = stride + ker = kernel_size + if not freq: + assert freqs == 1 + ker = time_stride * 2 + stri = time_stride + + pad = True + last_freq = False + if freq and freqs <= kernel_size: + ker = freqs + pad = False + last_freq = True + + kw = { + "kernel_size": ker, + "stride": stri, + "freq": freq, + "pad": pad, + "norm": norm, + "rewrite": rewrite, + "norm_groups": norm_groups, + "dconv_kw": { + "depth": dconv_depth, + "compress": dconv_comp, + "init": dconv_init, + "gelu": True, + }, + } + kwt = dict(kw) + kwt["freq"] = 0 + kwt["kernel_size"] = kernel_size + kwt["stride"] = stride + kwt["pad"] = True + kw_dec = dict(kw) + multi = False + if multi_freqs and index < multi_freqs_depth: + multi = True + kw_dec["context_freq"] = False + + if last_freq: + chout_z = max(chout, chout_z) + chout = chout_z + + enc = HEncLayer( + chin_z, chout_z, dconv=dconv_mode & 1, context=context_enc, **kw + ) + if freq: + tenc = HEncLayer( + chin, + chout, + dconv=dconv_mode & 1, + context=context_enc, + empty=last_freq, + **kwt + ) + self.tencoder.append(tenc) + + if multi: + enc = MultiWrap(enc, multi_freqs) + self.encoder.append(enc) + if index == 0: + chin = self.audio_channels * len(self.sources) + chin_z = chin + if self.cac: + chin_z *= 2 + dec = HDecLayer( + chout_z, + chin_z, + dconv=dconv_mode & 2, + last=index == 0, + context=context, + **kw_dec + ) + if multi: + dec = MultiWrap(dec, multi_freqs) + if freq: + tdec = HDecLayer( + chout, + chin, + dconv=dconv_mode & 2, + empty=last_freq, + last=index == 0, + context=context, + **kwt + ) + self.tdecoder.insert(0, tdec) + self.decoder.insert(0, dec) + + chin = chout + chin_z = chout_z + chout = int(growth * chout) + chout_z = int(growth * chout_z) + if freq: + if freqs <= kernel_size: + freqs = 1 + else: + freqs //= stride + if index == 0 and freq_emb: + self.freq_emb = ScaledEmbedding( + freqs, chin_z, smooth=emb_smooth, scale=emb_scale + ) + self.freq_emb_scale = freq_emb + + if rescale: + rescale_module(self, reference=rescale) + + transformer_channels = channels * growth ** (depth - 1) + if bottom_channels: + self.channel_upsampler = nn.Conv1d(transformer_channels, bottom_channels, 1) + self.channel_downsampler = nn.Conv1d( + bottom_channels, transformer_channels, 1 + ) + self.channel_upsampler_t = nn.Conv1d( + transformer_channels, bottom_channels, 1 + ) + self.channel_downsampler_t = nn.Conv1d( + bottom_channels, transformer_channels, 1 + ) + + transformer_channels = bottom_channels + + if t_layers > 0: + self.crosstransformer = CrossTransformerEncoder( + dim=transformer_channels, + emb=t_emb, + hidden_scale=t_hidden_scale, + num_heads=t_heads, + num_layers=t_layers, + cross_first=t_cross_first, + dropout=t_dropout, + max_positions=t_max_positions, + norm_in=t_norm_in, + norm_in_group=t_norm_in_group, + group_norm=t_group_norm, + norm_first=t_norm_first, + norm_out=t_norm_out, + max_period=t_max_period, + weight_decay=t_weight_decay, + lr=t_lr, + layer_scale=t_layer_scale, + gelu=t_gelu, + sin_random_shift=t_sin_random_shift, + weight_pos_embed=t_weight_pos_embed, + cape_mean_normalize=t_cape_mean_normalize, + cape_augment=t_cape_augment, + cape_glob_loc_scale=t_cape_glob_loc_scale, + sparse_self_attn=t_sparse_self_attn, + sparse_cross_attn=t_sparse_cross_attn, + mask_type=t_mask_type, + mask_random_seed=t_mask_random_seed, + sparse_attn_window=t_sparse_attn_window, + global_window=t_global_window, + sparsity=t_sparsity, + auto_sparsity=t_auto_sparsity, + ) + else: + self.crosstransformer = None + + def _spec(self, x): + hl = self.hop_length + nfft = self.nfft + x0 = x # noqa + + # We re-pad the signal in order to keep the property + # that the size of the output is exactly the size of the input + # divided by the stride (here hop_length), when divisible. + # This is achieved by padding by 1/4th of the kernel size (here nfft). + # which is not supported by torch.stft. + # Having all convolution operations follow this convention allow to easily + # align the time and frequency branches later on. + assert hl == nfft // 4 + le = int(math.ceil(x.shape[-1] / hl)) + pad = hl // 2 * 3 + x = pad1d(x, (pad, pad + le * hl - x.shape[-1]), mode="reflect") + + z = spectro(x, nfft, hl)[..., :-1, :] + assert z.shape[-1] == le + 4, (z.shape, x.shape, le) + z = z[..., 2: 2 + le] + return z + + def _ispec(self, z, length=None, scale=0): + hl = self.hop_length // (4**scale) + z = F.pad(z, (0, 0, 0, 1)) + z = F.pad(z, (2, 2)) + pad = hl // 2 * 3 + le = hl * int(math.ceil(length / hl)) + 2 * pad + x = ispectro(z, hl, length=le) + x = x[..., pad: pad + length] + return x + + def _magnitude(self, z): + # return the magnitude of the spectrogram, except when cac is True, + # in which case we just move the complex dimension to the channel one. + if self.cac: + B, C, Fr, T = z.shape + m = torch.view_as_real(z).permute(0, 1, 4, 2, 3) + m = m.reshape(B, C * 2, Fr, T) + else: + m = z.abs() + return m + + def _mask(self, z, m): + # Apply masking given the mixture spectrogram `z` and the estimated mask `m`. + # If `cac` is True, `m` is actually a full spectrogram and `z` is ignored. + niters = self.wiener_iters + if self.cac: + B, S, C, Fr, T = m.shape + out = m.view(B, S, -1, 2, Fr, T).permute(0, 1, 2, 4, 5, 3) + out = torch.view_as_complex(out.contiguous()) + return out + if self.training: + niters = self.end_iters + if niters < 0: + z = z[:, None] + return z / (1e-8 + z.abs()) * m + else: + return self._wiener(m, z, niters) + + def _wiener(self, mag_out, mix_stft, niters): + # apply wiener filtering from OpenUnmix. + init = mix_stft.dtype + wiener_win_len = 300 + residual = self.wiener_residual + + B, S, C, Fq, T = mag_out.shape + mag_out = mag_out.permute(0, 4, 3, 2, 1) + mix_stft = torch.view_as_real(mix_stft.permute(0, 3, 2, 1)) + + outs = [] + for sample in range(B): + pos = 0 + out = [] + for pos in range(0, T, wiener_win_len): + frame = slice(pos, pos + wiener_win_len) + z_out = wiener( + mag_out[sample, frame], + mix_stft[sample, frame], + niters, + residual=residual, + ) + out.append(z_out.transpose(-1, -2)) + outs.append(torch.cat(out, dim=0)) + out = torch.view_as_complex(torch.stack(outs, 0)) + out = out.permute(0, 4, 3, 2, 1).contiguous() + if residual: + out = out[:, :-1] + assert list(out.shape) == [B, S, C, Fq, T] + return out.to(init) + + def valid_length(self, length: int): + """ + Return a length that is appropriate for evaluation. + In our case, always return the training length, unless + it is smaller than the given length, in which case this + raises an error. + """ + if not self.use_train_segment: + return length + training_length = int(self.segment * self.samplerate) + if training_length < length: + raise ValueError( + f"Given length {length} is longer than " + f"training length {training_length}") + return training_length + + def forward(self, mix): + length = mix.shape[-1] + length_pre_pad = None + if self.use_train_segment: + if self.training: + self.segment = Fraction(mix.shape[-1], self.samplerate) + else: + training_length = int(self.segment * self.samplerate) + if mix.shape[-1] < training_length: + length_pre_pad = mix.shape[-1] + mix = F.pad(mix, (0, training_length - length_pre_pad)) + z = self._spec(mix) + mag = self._magnitude(z).to(mix.device) + x = mag + + B, C, Fq, T = x.shape + + # unlike previous Demucs, we always normalize because it is easier. + mean = x.mean(dim=(1, 2, 3), keepdim=True) + std = x.std(dim=(1, 2, 3), keepdim=True) + x = (x - mean) / (1e-5 + std) + # x will be the freq. branch input. + + # Prepare the time branch input. + xt = mix + meant = xt.mean(dim=(1, 2), keepdim=True) + stdt = xt.std(dim=(1, 2), keepdim=True) + xt = (xt - meant) / (1e-5 + stdt) + + # okay, this is a giant mess I know... + saved = [] # skip connections, freq. + saved_t = [] # skip connections, time. + lengths = [] # saved lengths to properly remove padding, freq branch. + lengths_t = [] # saved lengths for time branch. + for idx, encode in enumerate(self.encoder): + lengths.append(x.shape[-1]) + inject = None + if idx < len(self.tencoder): + # we have not yet merged branches. + lengths_t.append(xt.shape[-1]) + tenc = self.tencoder[idx] + xt = tenc(xt) + if not tenc.empty: + # save for skip connection + saved_t.append(xt) + else: + # tenc contains just the first conv., so that now time and freq. + # branches have the same shape and can be merged. + inject = xt + x = encode(x, inject) + if idx == 0 and self.freq_emb is not None: + # add frequency embedding to allow for non equivariant convolutions + # over the frequency axis. + frs = torch.arange(x.shape[-2], device=x.device) + emb = self.freq_emb(frs).t()[None, :, :, None].expand_as(x) + x = x + self.freq_emb_scale * emb + + saved.append(x) + if self.crosstransformer: + if self.bottom_channels: + b, c, f, t = x.shape + x = rearrange(x, "b c f t-> b c (f t)") + x = self.channel_upsampler(x) + x = rearrange(x, "b c (f t)-> b c f t", f=f) + xt = self.channel_upsampler_t(xt) + + x, xt = self.crosstransformer(x, xt) + + if self.bottom_channels: + x = rearrange(x, "b c f t-> b c (f t)") + x = self.channel_downsampler(x) + x = rearrange(x, "b c (f t)-> b c f t", f=f) + xt = self.channel_downsampler_t(xt) + + for idx, decode in enumerate(self.decoder): + skip = saved.pop(-1) + x, pre = decode(x, skip, lengths.pop(-1)) + # `pre` contains the output just before final transposed convolution, + # which is used when the freq. and time branch separate. + + offset = self.depth - len(self.tdecoder) + if idx >= offset: + tdec = self.tdecoder[idx - offset] + length_t = lengths_t.pop(-1) + if tdec.empty: + assert pre.shape[2] == 1, pre.shape + pre = pre[:, :, 0] + xt, _ = tdec(pre, None, length_t) + else: + skip = saved_t.pop(-1) + xt, _ = tdec(xt, skip, length_t) + + # Let's make sure we used all stored skip connections. + assert len(saved) == 0 + assert len(lengths_t) == 0 + assert len(saved_t) == 0 + + S = len(self.sources) + x = x.view(B, S, -1, Fq, T) + x = x * std[:, None] + mean[:, None] + + # to cpu as mps doesnt support complex numbers + # demucs issue #435 ##432 + # NOTE: in this case z already is on cpu + # TODO: remove this when mps supports complex numbers + x_is_mps_xpu = x.device.type in ["mps", "xpu"] + x_device = x.device + if x_is_mps_xpu: + x = x.cpu() + + zout = self._mask(z, x) + if self.use_train_segment: + if self.training: + x = self._ispec(zout, length) + else: + x = self._ispec(zout, training_length) + else: + x = self._ispec(zout, length) + + # back to mps device + if x_is_mps_xpu: + x = x.to(x_device) + + if self.use_train_segment: + if self.training: + xt = xt.view(B, S, -1, length) + else: + xt = xt.view(B, S, -1, training_length) + else: + xt = xt.view(B, S, -1, length) + xt = xt * stdt[:, None] + meant[:, None] + x = xt + x + if length_pre_pad: + x = x[..., :length_pre_pad] + return x diff --git a/ext/py/demucs/demucs/pretrained.py b/ext/py/demucs/demucs/pretrained.py new file mode 100644 index 0000000..80ae49c --- /dev/null +++ b/ext/py/demucs/demucs/pretrained.py @@ -0,0 +1,98 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Loading pretrained models. +""" + +import logging +from pathlib import Path +import typing as tp + +from dora.log import fatal, bold + +from .hdemucs import HDemucs +from .repo import RemoteRepo, LocalRepo, ModelOnlyRepo, BagOnlyRepo, AnyModelRepo, ModelLoadingError # noqa +from .states import _check_diffq + +logger = logging.getLogger(__name__) +ROOT_URL = "https://dl.fbaipublicfiles.com/demucs/" +REMOTE_ROOT = Path(__file__).parent / 'remote' + +SOURCES = ["drums", "bass", "other", "vocals"] +DEFAULT_MODEL = 'htdemucs' + + +def demucs_unittest(): + model = HDemucs(channels=4, sources=SOURCES) + return model + + +def add_model_flags(parser): + group = parser.add_mutually_exclusive_group(required=False) + group.add_argument("-s", "--sig", help="Locally trained XP signature.") + group.add_argument("-n", "--name", default="htdemucs", + help="Pretrained model name or signature. Default is htdemucs.") + parser.add_argument("--repo", type=Path, + help="Folder containing all pre-trained models for use with -n.") + + +def _parse_remote_files(remote_file_list) -> tp.Dict[str, str]: + root: str = '' + models: tp.Dict[str, str] = {} + for line in remote_file_list.read_text().split('\n'): + line = line.strip() + if line.startswith('#'): + continue + elif len(line) == 0: + continue + elif line.startswith('root:'): + root = line.split(':', 1)[1].strip() + else: + sig = line.split('-', 1)[0] + assert sig not in models + models[sig] = ROOT_URL + root + line + return models + + +def get_model(name: str, + repo: tp.Optional[Path] = None): + """`name` must be a bag of models name or a pretrained signature + from the remote AWS model repo or the specified local repo if `repo` is not None. + """ + if name == 'demucs_unittest': + return demucs_unittest() + model_repo: ModelOnlyRepo + if repo is None: + models = _parse_remote_files(REMOTE_ROOT / 'files.txt') + model_repo = RemoteRepo(models) + bag_repo = BagOnlyRepo(REMOTE_ROOT, model_repo) + else: + if not repo.is_dir(): + fatal(f"{repo} must exist and be a directory.") + model_repo = LocalRepo(repo) + bag_repo = BagOnlyRepo(repo, model_repo) + any_repo = AnyModelRepo(model_repo, bag_repo) + try: + model = any_repo.get_model(name) + except ImportError as exc: + if 'diffq' in exc.args[0]: + _check_diffq() + raise + + model.eval() + return model + + +def get_model_from_args(args): + """ + Load local model package or pre-trained model. + """ + if args.name is None: + args.name = DEFAULT_MODEL + print(bold("Important: the default model was recently changed to `htdemucs`"), + "the latest Hybrid Transformer Demucs model. In some cases, this model can " + "actually perform worse than previous models. To get back the old default model " + "use `-n mdx_extra_q`.") + return get_model(name=args.name, repo=args.repo) diff --git a/ext/py/demucs/demucs/py.typed b/ext/py/demucs/demucs/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/ext/py/demucs/demucs/remote/files.txt b/ext/py/demucs/demucs/remote/files.txt new file mode 100644 index 0000000..346eb33 --- /dev/null +++ b/ext/py/demucs/demucs/remote/files.txt @@ -0,0 +1,32 @@ +# MDX Models +root: mdx_final/ +0d19c1c6-0f06f20e.th +5d2d6c55-db83574e.th +7d865c68-3d5dd56b.th +7ecf8ec1-70f50cc9.th +a1d90b5c-ae9d2452.th +c511e2ab-fe698775.th +cfa93e08-61801ae1.th +e51eebcc-c1b80bdd.th +6b9c2ca1-3fd82607.th +b72baf4e-8778635e.th +42e558d4-196e0e1b.th +305bc58f-18378783.th +14fc6a69-a89dd0ee.th +464b36d7-e5a9386e.th +7fd6ef75-a905dd85.th +83fc094f-4a16d450.th +1ef250f1-592467ce.th +902315c2-b39ce9c9.th +9a6b4851-03af0aa6.th +fa0cb7f9-100d8bf4.th +# Hybrid Transformer models +root: hybrid_transformer/ +955717e8-8726e21a.th +f7e0c4bc-ba3fe64a.th +d12395a8-e57c48e6.th +92cfc3b6-ef3bcb9c.th +04573f0d-f3cf25b2.th +75fc33f5-1941ce65.th +# Experimental 6 sources model +5c90dfd2-34c22ccb.th diff --git a/ext/py/demucs/demucs/remote/hdemucs_mmi.yaml b/ext/py/demucs/demucs/remote/hdemucs_mmi.yaml new file mode 100644 index 0000000..0ea0891 --- /dev/null +++ b/ext/py/demucs/demucs/remote/hdemucs_mmi.yaml @@ -0,0 +1,2 @@ +models: ['75fc33f5'] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/htdemucs.yaml b/ext/py/demucs/demucs/remote/htdemucs.yaml new file mode 100644 index 0000000..0d5f208 --- /dev/null +++ b/ext/py/demucs/demucs/remote/htdemucs.yaml @@ -0,0 +1 @@ +models: ['955717e8'] diff --git a/ext/py/demucs/demucs/remote/htdemucs_6s.yaml b/ext/py/demucs/demucs/remote/htdemucs_6s.yaml new file mode 100644 index 0000000..651a0fa --- /dev/null +++ b/ext/py/demucs/demucs/remote/htdemucs_6s.yaml @@ -0,0 +1 @@ +models: ['5c90dfd2'] diff --git a/ext/py/demucs/demucs/remote/htdemucs_ft.yaml b/ext/py/demucs/demucs/remote/htdemucs_ft.yaml new file mode 100644 index 0000000..ba5c69c --- /dev/null +++ b/ext/py/demucs/demucs/remote/htdemucs_ft.yaml @@ -0,0 +1,7 @@ +models: ['f7e0c4bc', 'd12395a8', '92cfc3b6', '04573f0d'] +weights: [ + [1., 0., 0., 0.], + [0., 1., 0., 0.], + [0., 0., 1., 0.], + [0., 0., 0., 1.], +] \ No newline at end of file diff --git a/ext/py/demucs/demucs/remote/mdx.yaml b/ext/py/demucs/demucs/remote/mdx.yaml new file mode 100644 index 0000000..4e81a50 --- /dev/null +++ b/ext/py/demucs/demucs/remote/mdx.yaml @@ -0,0 +1,8 @@ +models: ['0d19c1c6', '7ecf8ec1', 'c511e2ab', '7d865c68'] +weights: [ + [1., 1., 0., 0.], + [0., 1., 0., 0.], + [1., 0., 1., 1.], + [1., 0., 1., 1.], +] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/mdx_extra.yaml b/ext/py/demucs/demucs/remote/mdx_extra.yaml new file mode 100644 index 0000000..847bf66 --- /dev/null +++ b/ext/py/demucs/demucs/remote/mdx_extra.yaml @@ -0,0 +1,2 @@ +models: ['e51eebcc', 'a1d90b5c', '5d2d6c55', 'cfa93e08'] +segment: 44 \ No newline at end of file diff --git a/ext/py/demucs/demucs/remote/mdx_extra_q.yaml b/ext/py/demucs/demucs/remote/mdx_extra_q.yaml new file mode 100644 index 0000000..87702bc --- /dev/null +++ b/ext/py/demucs/demucs/remote/mdx_extra_q.yaml @@ -0,0 +1,2 @@ +models: ['83fc094f', '464b36d7', '14fc6a69', '7fd6ef75'] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/mdx_q.yaml b/ext/py/demucs/demucs/remote/mdx_q.yaml new file mode 100644 index 0000000..827d2c6 --- /dev/null +++ b/ext/py/demucs/demucs/remote/mdx_q.yaml @@ -0,0 +1,8 @@ +models: ['6b9c2ca1', 'b72baf4e', '42e558d4', '305bc58f'] +weights: [ + [1., 1., 0., 0.], + [0., 1., 0., 0.], + [1., 0., 1., 1.], + [1., 0., 1., 1.], +] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/repro_mdx_a.yaml b/ext/py/demucs/demucs/remote/repro_mdx_a.yaml new file mode 100644 index 0000000..691abc2 --- /dev/null +++ b/ext/py/demucs/demucs/remote/repro_mdx_a.yaml @@ -0,0 +1,2 @@ +models: ['9a6b4851', '1ef250f1', 'fa0cb7f9', '902315c2'] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/repro_mdx_a_hybrid_only.yaml b/ext/py/demucs/demucs/remote/repro_mdx_a_hybrid_only.yaml new file mode 100644 index 0000000..78eb8e0 --- /dev/null +++ b/ext/py/demucs/demucs/remote/repro_mdx_a_hybrid_only.yaml @@ -0,0 +1,2 @@ +models: ['fa0cb7f9', '902315c2', 'fa0cb7f9', '902315c2'] +segment: 44 diff --git a/ext/py/demucs/demucs/remote/repro_mdx_a_time_only.yaml b/ext/py/demucs/demucs/remote/repro_mdx_a_time_only.yaml new file mode 100644 index 0000000..d5d16ea --- /dev/null +++ b/ext/py/demucs/demucs/remote/repro_mdx_a_time_only.yaml @@ -0,0 +1,2 @@ +models: ['9a6b4851', '9a6b4851', '1ef250f1', '1ef250f1'] +segment: 44 diff --git a/ext/py/demucs/demucs/repitch.py b/ext/py/demucs/demucs/repitch.py new file mode 100644 index 0000000..b69c0d2 --- /dev/null +++ b/ext/py/demucs/demucs/repitch.py @@ -0,0 +1,87 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Utility for on the fly pitch/tempo change for data augmentation.""" + +import random +import subprocess as sp +import tempfile + +from . import audio_legacy +import torch +import torchaudio as ta + +from .audio import save_audio + + +class RepitchedWrapper: + """ + Wrap a dataset to apply online change of pitch / tempo. + """ + def __init__(self, dataset, proba=0.2, max_pitch=2, max_tempo=12, + tempo_std=5, vocals=[3], same=True): + self.dataset = dataset + self.proba = proba + self.max_pitch = max_pitch + self.max_tempo = max_tempo + self.tempo_std = tempo_std + self.same = same + self.vocals = vocals + + def __len__(self): + return len(self.dataset) + + def __getitem__(self, index): + streams = self.dataset[index] + in_length = streams.shape[-1] + out_length = int((1 - 0.01 * self.max_tempo) * in_length) + + if random.random() < self.proba: + outs = [] + for idx, stream in enumerate(streams): + if idx == 0 or not self.same: + delta_pitch = random.randint(-self.max_pitch, self.max_pitch) + delta_tempo = random.gauss(0, self.tempo_std) + delta_tempo = min(max(-self.max_tempo, delta_tempo), self.max_tempo) + stream = repitch( + stream, + delta_pitch, + delta_tempo, + voice=idx in self.vocals) + outs.append(stream[:, :out_length]) + streams = torch.stack(outs) + else: + streams = streams[..., :out_length] + return streams + + +def repitch(wav, pitch, tempo, voice=False, quick=False, samplerate=44100): + """ + tempo is a relative delta in percentage, so tempo=10 means tempo at 110%! + pitch is in semi tones. + Requires `soundstretch` to be installed, see + https://www.surina.net/soundtouch/soundstretch.html + """ + infile = tempfile.NamedTemporaryFile(suffix=".wav") + outfile = tempfile.NamedTemporaryFile(suffix=".wav") + save_audio(wav, infile.name, samplerate, clip='clamp') + command = [ + "soundstretch", + infile.name, + outfile.name, + f"-pitch={pitch}", + f"-tempo={tempo:.6f}", + ] + if quick: + command += ["-quick"] + if voice: + command += ["-speech"] + try: + sp.run(command, capture_output=True, check=True) + except sp.CalledProcessError as error: + raise RuntimeError(f"Could not change bpm because {error.stderr.decode('utf-8')}") + wav, sr = ta.load(outfile.name) + assert sr == samplerate + return wav diff --git a/ext/py/demucs/demucs/repo.py b/ext/py/demucs/demucs/repo.py new file mode 100644 index 0000000..5e20ff5 --- /dev/null +++ b/ext/py/demucs/demucs/repo.py @@ -0,0 +1,166 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Represents a model repository, including pre-trained models and bags of models. +A repo can either be the main remote repository stored in AWS, or a local repository +with your own models. +""" + +from hashlib import sha256 +from pathlib import Path +import typing as tp + +import torch +import yaml + +from .apply import BagOfModels, Model +from .states import load_model + + +AnyModel = tp.Union[Model, BagOfModels] + + +class ModelLoadingError(RuntimeError): + pass + + +def check_checksum(path: Path, checksum: str): + sha = sha256() + with open(path, 'rb') as file: + while True: + buf = file.read(2**20) + if not buf: + break + sha.update(buf) + actual_checksum = sha.hexdigest()[:len(checksum)] + if actual_checksum != checksum: + raise ModelLoadingError(f'Invalid checksum for file {path}, ' + f'expected {checksum} but got {actual_checksum}') + + +class ModelOnlyRepo: + """Base class for all model only repos. + """ + def has_model(self, sig: str) -> bool: + raise NotImplementedError() + + def get_model(self, sig: str) -> Model: + raise NotImplementedError() + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + raise NotImplementedError() + + +class RemoteRepo(ModelOnlyRepo): + def __init__(self, models: tp.Dict[str, str]): + self._models = models + + def has_model(self, sig: str) -> bool: + return sig in self._models + + def get_model(self, sig: str) -> Model: + try: + url = self._models[sig] + except KeyError: + raise ModelLoadingError(f'Could not find a pre-trained model with signature {sig}.') + pkg = torch.hub.load_state_dict_from_url( + url, map_location='cpu', check_hash=True) # type: ignore + return load_model(pkg) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._models # type: ignore + + +class LocalRepo(ModelOnlyRepo): + def __init__(self, root: Path): + self.root = root + self.scan() + + def scan(self): + self._models = {} + self._checksums = {} + for file in self.root.iterdir(): + if file.suffix == '.th': + if '-' in file.stem: + xp_sig, checksum = file.stem.split('-') + self._checksums[xp_sig] = checksum + else: + xp_sig = file.stem + if xp_sig in self._models: + raise ModelLoadingError( + f'Duplicate pre-trained model exist for signature {xp_sig}. ' + 'Please delete all but one.') + self._models[xp_sig] = file + + def has_model(self, sig: str) -> bool: + return sig in self._models + + def get_model(self, sig: str) -> Model: + try: + file = self._models[sig] + except KeyError: + raise ModelLoadingError(f'Could not find pre-trained model with signature {sig}.') + if sig in self._checksums: + check_checksum(file, self._checksums[sig]) + return load_model(file) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._models + + +class BagOnlyRepo: + """Handles only YAML files containing bag of models, leaving the actual + model loading to some Repo. + """ + def __init__(self, root: Path, model_repo: ModelOnlyRepo): + self.root = root + self.model_repo = model_repo + self.scan() + + def scan(self): + self._bags = {} + for file in self.root.iterdir(): + if file.suffix == '.yaml': + self._bags[file.stem] = file + + def has_model(self, name: str) -> bool: + return name in self._bags + + def get_model(self, name: str) -> BagOfModels: + try: + yaml_file = self._bags[name] + except KeyError: + raise ModelLoadingError(f'{name} is neither a single pre-trained model or ' + 'a bag of models.') + bag = yaml.safe_load(open(yaml_file)) + signatures = bag['models'] + models = [self.model_repo.get_model(sig) for sig in signatures] + weights = bag.get('weights') + segment = bag.get('segment') + return BagOfModels(models, weights, segment) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + return self._bags + + +class AnyModelRepo: + def __init__(self, model_repo: ModelOnlyRepo, bag_repo: BagOnlyRepo): + self.model_repo = model_repo + self.bag_repo = bag_repo + + def has_model(self, name_or_sig: str) -> bool: + return self.model_repo.has_model(name_or_sig) or self.bag_repo.has_model(name_or_sig) + + def get_model(self, name_or_sig: str) -> AnyModel: + if self.model_repo.has_model(name_or_sig): + return self.model_repo.get_model(name_or_sig) + else: + return self.bag_repo.get_model(name_or_sig) + + def list_model(self) -> tp.Dict[str, tp.Union[str, Path]]: + models = self.model_repo.list_model() + for key, value in self.bag_repo.list_model().items(): + models[key] = value + return models diff --git a/ext/py/demucs/demucs/separate.py b/ext/py/demucs/demucs/separate.py new file mode 100644 index 0000000..7de5f11 --- /dev/null +++ b/ext/py/demucs/demucs/separate.py @@ -0,0 +1,228 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import argparse +import sys +from pathlib import Path + +from dora.log import fatal +import torch as th + +from .api import Separator, save_audio, list_models + +from .apply import BagOfModels +from .htdemucs import HTDemucs +from .pretrained import add_model_flags, ModelLoadingError + + +def get_parser(): + parser = argparse.ArgumentParser("demucs.separate", + description="Separate the sources for the given tracks") + parser.add_argument("tracks", nargs='*', type=Path, default=[], help='Path to tracks') + add_model_flags(parser) + parser.add_argument("--list-models", action="store_true", help="List available models " + "from current repo and exit") + parser.add_argument("-v", "--verbose", action="store_true") + parser.add_argument("-o", + "--out", + type=Path, + default=Path("separated"), + help="Folder where to put extracted tracks. A subfolder " + "with the model name will be created.") + parser.add_argument("--filename", + default="{track}/{stem}.{ext}", + help="Set the name of output file. \n" + 'Use "{track}", "{trackext}", "{stem}", "{ext}" to use ' + "variables of track name without extension, track extension, " + "stem name and default output file extension. \n" + 'Default is "{track}/{stem}.{ext}".') + parser.add_argument("-d", + "--device", + default=( + "cuda" + if th.cuda.is_available() + else "mps" + if th.backends.mps.is_available() + else "cpu" + ), + help="Device to use, default is cuda if available else cpu") + parser.add_argument("--shifts", + default=1, + type=int, + help="Number of random shifts for equivariant stabilization." + "Increase separation time but improves quality for Demucs. 10 was used " + "in the original paper.") + parser.add_argument("--overlap", + default=0.25, + type=float, + help="Overlap between the splits.") + split_group = parser.add_mutually_exclusive_group() + split_group.add_argument("--no-split", + action="store_false", + dest="split", + default=True, + help="Doesn't split audio in chunks. " + "This can use large amounts of memory.") + split_group.add_argument("--segment", type=int, + help="Set split size of each chunk. " + "This can help save memory of graphic card. ") + parser.add_argument("--two-stems", + dest="stem", metavar="STEM", + help="Only separate audio into {STEM} and no_{STEM}. ") + parser.add_argument("--other-method", dest="other_method", choices=["none", "add", "minus"], + default="add", help='Decide how to get "no_{STEM}". "none" will not save ' + '"no_{STEM}". "add" will add all the other stems. "minus" will use the ' + "original track minus the selected stem.") + depth_group = parser.add_mutually_exclusive_group() + depth_group.add_argument("--int24", action="store_true", + help="Save wav output as 24 bits wav.") + depth_group.add_argument("--float32", action="store_true", + help="Save wav output as float32 (2x bigger).") + parser.add_argument("--clip-mode", default="rescale", choices=["rescale", "clamp", "none"], + help="Strategy for avoiding clipping: rescaling entire signal " + "if necessary (rescale) or hard clipping (clamp).") + format_group = parser.add_mutually_exclusive_group() + format_group.add_argument("--flac", action="store_true", + help="Convert the output wavs to flac.") + format_group.add_argument("--mp3", action="store_true", + help="Convert the output wavs to mp3.") + parser.add_argument("--mp3-bitrate", + default=320, + type=int, + help="Bitrate of converted mp3.") + parser.add_argument("--mp3-preset", choices=range(2, 8), type=int, default=2, + help="Encoder preset of MP3, 2 for highest quality, 7 for " + "fastest speed. Default is 2") + parser.add_argument("-j", "--jobs", + default=0, + type=int, + help="Number of jobs. This can increase memory usage but will " + "be much faster when multiple cores are available.") + + return parser + + +def main(opts=None): + parser = get_parser() + args = parser.parse_args(opts) + if args.list_models: + models = list_models(args.repo) + print("Bag of models:", end="\n ") + print("\n ".join(models["bag"])) + print("Single models:", end="\n ") + print("\n ".join(models["single"])) + sys.exit(0) + if len(args.tracks) == 0: + print("error: the following arguments are required: tracks", file=sys.stderr) + sys.exit(1) + + try: + separator = Separator(model=args.name, + repo=args.repo, + device=args.device, + shifts=args.shifts, + split=args.split, + overlap=args.overlap, + progress=True, + jobs=args.jobs, + segment=args.segment) + except ModelLoadingError as error: + fatal(error.args[0]) + + max_allowed_segment = float('inf') + if isinstance(separator.model, HTDemucs): + max_allowed_segment = float(separator.model.segment) + elif isinstance(separator.model, BagOfModels): + max_allowed_segment = separator.model.max_allowed_segment + if args.segment is not None and args.segment > max_allowed_segment: + fatal("Cannot use a Transformer model with a longer segment " + f"than it was trained for. Maximum segment is: {max_allowed_segment}") + + if isinstance(separator.model, BagOfModels): + print( + f"Selected model is a bag of {len(separator.model.models)} models. " + "You will see that many progress bars per track." + ) + + if args.stem is not None and args.stem not in separator.model.sources: + fatal( + 'error: stem "{stem}" is not in selected model. ' + "STEM must be one of {sources}.".format( + stem=args.stem, sources=", ".join(separator.model.sources) + ) + ) + out = args.out / args.name + out.mkdir(parents=True, exist_ok=True) + print(f"Separated tracks will be stored in {out.resolve()}") + for track in args.tracks: + if not track.exists(): + print(f"File {track} does not exist. If the path contains spaces, " + 'please try again after surrounding the entire path with quotes "".', + file=sys.stderr) + continue + print(f"Separating track {track}") + + origin, res = separator.separate_audio_file(track) + + if args.mp3: + ext = "mp3" + elif args.flac: + ext = "flac" + else: + ext = "wav" + kwargs = { + "samplerate": separator.samplerate, + "bitrate": args.mp3_bitrate, + "preset": args.mp3_preset, + "clip": args.clip_mode, + "as_float": args.float32, + "bits_per_sample": 24 if args.int24 else 16, + } + if args.stem is None: + for name, source in res.items(): + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem=name, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(source, str(stem), **kwargs) + else: + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem="minus_" + args.stem, + ext=ext, + ) + if args.other_method == "minus": + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(origin - res[args.stem], str(stem), **kwargs) + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem=args.stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(res.pop(args.stem), str(stem), **kwargs) + # Warning : after poping the stem, selected stem is no longer in the dict 'res' + if args.other_method == "add": + other_stem = th.zeros_like(next(iter(res.values()))) + for i in res.values(): + other_stem += i + stem = out / args.filename.format( + track=track.name.rsplit(".", 1)[0], + trackext=track.name.rsplit(".", 1)[-1], + stem="no_" + args.stem, + ext=ext, + ) + stem.parent.mkdir(parents=True, exist_ok=True) + save_audio(other_stem, str(stem), **kwargs) + + +if __name__ == "__main__": + main() diff --git a/ext/py/demucs/demucs/solver.py b/ext/py/demucs/demucs/solver.py new file mode 100644 index 0000000..7c80b14 --- /dev/null +++ b/ext/py/demucs/demucs/solver.py @@ -0,0 +1,405 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Main training loop.""" + +import logging + +from dora import get_xp +from dora.utils import write_and_rename +from dora.log import LogProgress, bold +import torch +import torch.nn.functional as F + +from . import augment, distrib, states, pretrained +from .apply import apply_model +from .ema import ModelEMA +from .evaluate import evaluate, new_sdr +from .svd import svd_penalty +from .utils import pull_metric, EMA + +logger = logging.getLogger(__name__) + + +def _summary(metrics): + return " | ".join(f"{key.capitalize()}={val}" for key, val in metrics.items()) + + +class Solver(object): + def __init__(self, loaders, model, optimizer, args): + self.args = args + self.loaders = loaders + + self.model = model + self.optimizer = optimizer + self.quantizer = states.get_quantizer(self.model, args.quant, self.optimizer) + self.dmodel = distrib.wrap(model) + self.device = next(iter(self.model.parameters())).device + + # Exponential moving average of the model, either updated every batch or epoch. + # The best model from all the EMAs and the original one is kept based on the valid + # loss for the final best model. + self.emas = {'batch': [], 'epoch': []} + for kind in self.emas.keys(): + decays = getattr(args.ema, kind) + device = self.device if kind == 'batch' else 'cpu' + if decays: + for decay in decays: + self.emas[kind].append(ModelEMA(self.model, decay, device=device)) + + # data augment + augments = [augment.Shift(shift=int(args.dset.samplerate * args.dset.shift), + same=args.augment.shift_same)] + if args.augment.flip: + augments += [augment.FlipChannels(), augment.FlipSign()] + for aug in ['scale', 'remix']: + kw = getattr(args.augment, aug) + if kw.proba: + augments.append(getattr(augment, aug.capitalize())(**kw)) + self.augment = torch.nn.Sequential(*augments) + + xp = get_xp() + self.folder = xp.folder + # Checkpoints + self.checkpoint_file = xp.folder / 'checkpoint.th' + self.best_file = xp.folder / 'best.th' + logger.debug("Checkpoint will be saved to %s", self.checkpoint_file.resolve()) + self.best_state = None + self.best_changed = False + + self.link = xp.link + self.history = self.link.history + + self._reset() + + def _serialize(self, epoch): + package = {} + package['state'] = self.model.state_dict() + package['optimizer'] = self.optimizer.state_dict() + package['history'] = self.history + package['best_state'] = self.best_state + package['args'] = self.args + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + package[f'ema_{kind}_{k}'] = ema.state_dict() + with write_and_rename(self.checkpoint_file) as tmp: + torch.save(package, tmp) + + save_every = self.args.save_every + if save_every and (epoch + 1) % save_every == 0 and epoch + 1 != self.args.epochs: + with write_and_rename(self.folder / f'checkpoint_{epoch + 1}.th') as tmp: + torch.save(package, tmp) + + if self.best_changed: + # Saving only the latest best model. + with write_and_rename(self.best_file) as tmp: + package = states.serialize_model(self.model, self.args) + package['state'] = self.best_state + torch.save(package, tmp) + self.best_changed = False + + def _reset(self): + """Reset state of the solver, potentially using checkpoint.""" + if self.checkpoint_file.exists(): + logger.info(f'Loading checkpoint model: {self.checkpoint_file}') + package = torch.load(self.checkpoint_file, 'cpu') + self.model.load_state_dict(package['state']) + self.optimizer.load_state_dict(package['optimizer']) + self.history[:] = package['history'] + self.best_state = package['best_state'] + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + ema.load_state_dict(package[f'ema_{kind}_{k}']) + elif self.args.continue_pretrained: + model = pretrained.get_model( + name=self.args.continue_pretrained, + repo=self.args.pretrained_repo) + self.model.load_state_dict(model.state_dict()) + elif self.args.continue_from: + name = 'checkpoint.th' + root = self.folder.parent + cf = root / str(self.args.continue_from) / name + logger.info("Loading from %s", cf) + package = torch.load(cf, 'cpu') + self.best_state = package['best_state'] + if self.args.continue_best: + self.model.load_state_dict(package['best_state'], strict=False) + else: + self.model.load_state_dict(package['state'], strict=False) + if self.args.continue_opt: + self.optimizer.load_state_dict(package['optimizer']) + + def _format_train(self, metrics: dict) -> dict: + """Formatting for train/valid metrics.""" + losses = { + 'loss': format(metrics['loss'], ".4f"), + 'reco': format(metrics['reco'], ".4f"), + } + if 'nsdr' in metrics: + losses['nsdr'] = format(metrics['nsdr'], ".3f") + if self.quantizer is not None: + losses['ms'] = format(metrics['ms'], ".2f") + if 'grad' in metrics: + losses['grad'] = format(metrics['grad'], ".4f") + if 'best' in metrics: + losses['best'] = format(metrics['best'], '.4f') + if 'bname' in metrics: + losses['bname'] = metrics['bname'] + if 'penalty' in metrics: + losses['penalty'] = format(metrics['penalty'], ".4f") + if 'hloss' in metrics: + losses['hloss'] = format(metrics['hloss'], ".4f") + return losses + + def _format_test(self, metrics: dict) -> dict: + """Formatting for test metrics.""" + losses = {} + if 'sdr' in metrics: + losses['sdr'] = format(metrics['sdr'], '.3f') + if 'nsdr' in metrics: + losses['nsdr'] = format(metrics['nsdr'], '.3f') + for source in self.model.sources: + key = f'sdr_{source}' + if key in metrics: + losses[key] = format(metrics[key], '.3f') + key = f'nsdr_{source}' + if key in metrics: + losses[key] = format(metrics[key], '.3f') + return losses + + def train(self): + # Optimizing the model + if self.history: + logger.info("Replaying metrics from previous run") + for epoch, metrics in enumerate(self.history): + formatted = self._format_train(metrics['train']) + logger.info( + bold(f'Train Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + formatted = self._format_train(metrics['valid']) + logger.info( + bold(f'Valid Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + if 'test' in metrics: + formatted = self._format_test(metrics['test']) + if formatted: + logger.info(bold(f"Test Summary | Epoch {epoch + 1} | {_summary(formatted)}")) + + epoch = 0 + for epoch in range(len(self.history), self.args.epochs): + # Train one epoch + self.model.train() # Turn on BatchNorm & Dropout + metrics = {} + logger.info('-' * 70) + logger.info("Training...") + metrics['train'] = self._run_one_epoch(epoch) + formatted = self._format_train(metrics['train']) + logger.info( + bold(f'Train Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + + # Cross validation + logger.info('-' * 70) + logger.info('Cross validation...') + self.model.eval() # Turn off Batchnorm & Dropout + with torch.no_grad(): + valid = self._run_one_epoch(epoch, train=False) + bvalid = valid + bname = 'main' + state = states.copy_state(self.model.state_dict()) + metrics['valid'] = {} + metrics['valid']['main'] = valid + key = self.args.test.metric + for kind, emas in self.emas.items(): + for k, ema in enumerate(emas): + with ema.swap(): + valid = self._run_one_epoch(epoch, train=False) + name = f'ema_{kind}_{k}' + metrics['valid'][name] = valid + a = valid[key] + b = bvalid[key] + if key.startswith('nsdr'): + a = -a + b = -b + if a < b: + bvalid = valid + state = ema.state + bname = name + metrics['valid'].update(bvalid) + metrics['valid']['bname'] = bname + + valid_loss = metrics['valid'][key] + mets = pull_metric(self.link.history, f'valid.{key}') + [valid_loss] + if key.startswith('nsdr'): + best_loss = max(mets) + else: + best_loss = min(mets) + metrics['valid']['best'] = best_loss + if self.args.svd.penalty > 0: + kw = dict(self.args.svd) + kw.pop('penalty') + with torch.no_grad(): + penalty = svd_penalty(self.model, exact=True, **kw) + metrics['valid']['penalty'] = penalty + + formatted = self._format_train(metrics['valid']) + logger.info( + bold(f'Valid Summary | Epoch {epoch + 1} | {_summary(formatted)}')) + + # Save the best model + if valid_loss == best_loss or self.args.dset.train_valid: + logger.info(bold('New best valid loss %.4f'), valid_loss) + self.best_state = states.copy_state(state) + self.best_changed = True + + # Eval model every `test.every` epoch or on last epoch + should_eval = (epoch + 1) % self.args.test.every == 0 + is_last = epoch == self.args.epochs - 1 + # # Tries to detect divergence in a reliable way and finish job + # # not to waste compute. + # # Commented out as this was super specific to the MDX competition. + # reco = metrics['valid']['main']['reco'] + # div = epoch >= 180 and reco > 0.18 + # div = div or epoch >= 100 and reco > 0.25 + # div = div and self.args.optim.loss == 'l1' + # if div: + # logger.warning("Finishing training early because valid loss is too high.") + # is_last = True + if should_eval or is_last: + # Evaluate on the testset + logger.info('-' * 70) + logger.info('Evaluating on the test set...') + # We switch to the best known model for testing + if self.args.test.best: + state = self.best_state + else: + state = states.copy_state(self.model.state_dict()) + compute_sdr = self.args.test.sdr and is_last + with states.swap_state(self.model, state): + with torch.no_grad(): + metrics['test'] = evaluate(self, compute_sdr=compute_sdr) + formatted = self._format_test(metrics['test']) + logger.info(bold(f"Test Summary | Epoch {epoch + 1} | {_summary(formatted)}")) + self.link.push_metrics(metrics) + + if distrib.rank == 0: + # Save model each epoch + self._serialize(epoch) + logger.debug("Checkpoint saved to %s", self.checkpoint_file.resolve()) + if is_last: + break + + def _run_one_epoch(self, epoch, train=True): + args = self.args + data_loader = self.loaders['train'] if train else self.loaders['valid'] + if distrib.world_size > 1 and train: + data_loader.sampler.set_epoch(epoch) + + label = ["Valid", "Train"][train] + name = label + f" | Epoch {epoch + 1}" + total = len(data_loader) + if args.max_batches: + total = min(total, args.max_batches) + logprog = LogProgress(logger, data_loader, total=total, + updates=self.args.misc.num_prints, name=name) + averager = EMA() + + for idx, sources in enumerate(logprog): + sources = sources.to(self.device) + if train: + sources = self.augment(sources) + mix = sources.sum(dim=1) + else: + mix = sources[:, 0] + sources = sources[:, 1:] + + if not train and self.args.valid_apply: + estimate = apply_model(self.model, mix, split=self.args.test.split, overlap=0) + else: + estimate = self.dmodel(mix) + if train and hasattr(self.model, 'transform_target'): + sources = self.model.transform_target(mix, sources) + assert estimate.shape == sources.shape, (estimate.shape, sources.shape) + dims = tuple(range(2, sources.dim())) + + if args.optim.loss == 'l1': + loss = F.l1_loss(estimate, sources, reduction='none') + loss = loss.mean(dims).mean(0) + reco = loss + elif args.optim.loss == 'mse': + loss = F.mse_loss(estimate, sources, reduction='none') + loss = loss.mean(dims) + reco = loss**0.5 + reco = reco.mean(0) + else: + raise ValueError(f"Invalid loss {self.args.loss}") + weights = torch.tensor(args.weights).to(sources) + loss = (loss * weights).sum() / weights.sum() + + ms = 0 + if self.quantizer is not None: + ms = self.quantizer.model_size() + if args.quant.diffq: + loss += args.quant.diffq * ms + + losses = {} + losses['reco'] = (reco * weights).sum() / weights.sum() + losses['ms'] = ms + + if not train: + nsdrs = new_sdr(sources, estimate.detach()).mean(0) + total = 0 + for source, nsdr, w in zip(self.model.sources, nsdrs, weights): + losses[f'nsdr_{source}'] = nsdr + total += w * nsdr + losses['nsdr'] = total / weights.sum() + + if train and args.svd.penalty > 0: + kw = dict(args.svd) + kw.pop('penalty') + penalty = svd_penalty(self.model, **kw) + losses['penalty'] = penalty + loss += args.svd.penalty * penalty + + losses['loss'] = loss + + for k, source in enumerate(self.model.sources): + losses[f'reco_{source}'] = reco[k] + + # optimize model in training mode + if train: + loss.backward() + grad_norm = 0 + grads = [] + for p in self.model.parameters(): + if p.grad is not None: + grad_norm += p.grad.data.norm()**2 + grads.append(p.grad.data) + losses['grad'] = grad_norm ** 0.5 + if args.optim.clip_grad: + torch.nn.utils.clip_grad_norm_( + self.model.parameters(), + args.optim.clip_grad) + + if self.args.flag == 'uns': + for n, p in self.model.named_parameters(): + if p.grad is None: + print('no grad', n) + self.optimizer.step() + self.optimizer.zero_grad() + for ema in self.emas['batch']: + ema.update() + losses = averager(losses) + logs = self._format_train(losses) + logprog.update(**logs) + # Just in case, clear some memory + del loss, estimate, reco, ms + if args.max_batches == idx: + break + if self.args.debug and train: + break + if self.args.flag == 'debug': + break + if train: + for ema in self.emas['epoch']: + ema.update() + return distrib.average(losses, idx + 1) diff --git a/ext/py/demucs/demucs/spec.py b/ext/py/demucs/demucs/spec.py new file mode 100644 index 0000000..d8f6ee5 --- /dev/null +++ b/ext/py/demucs/demucs/spec.py @@ -0,0 +1,47 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Conveniance wrapper to perform STFT and iSTFT""" + +import torch as th + + +def spectro(x, n_fft=512, hop_length=None, pad=0): + *other, length = x.shape + x = x.reshape(-1, length) + is_mps_xpu = x.device.type in ['mps', 'xpu'] + if is_mps_xpu: + x = x.cpu() + z = th.stft(x, + n_fft * (1 + pad), + hop_length or n_fft // 4, + window=th.hann_window(n_fft).to(x), + win_length=n_fft, + normalized=True, + center=True, + return_complex=True, + pad_mode='reflect') + _, freqs, frame = z.shape + return z.view(*other, freqs, frame) + + +def ispectro(z, hop_length=None, length=None, pad=0): + *other, freqs, frames = z.shape + n_fft = 2 * freqs - 2 + z = z.view(-1, freqs, frames) + win_length = n_fft // (1 + pad) + is_mps_xpu = z.device.type in ['mps', 'xpu'] + if is_mps_xpu: + z = z.cpu() + x = th.istft(z, + n_fft, + hop_length, + window=th.hann_window(win_length).to(z.real), + win_length=win_length, + normalized=True, + length=length, + center=True) + _, length = x.shape + return x.view(*other, length) diff --git a/ext/py/demucs/demucs/states.py b/ext/py/demucs/demucs/states.py new file mode 100644 index 0000000..361bb41 --- /dev/null +++ b/ext/py/demucs/demucs/states.py @@ -0,0 +1,163 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +""" +Utilities to save and load models. +""" +from contextlib import contextmanager + +import functools +import hashlib +import inspect +import io +from pathlib import Path +import warnings + +from omegaconf import OmegaConf +from dora.log import fatal +import torch + + +def _check_diffq(): + try: + import diffq # noqa + except ImportError: + fatal('Trying to use DiffQ, but diffq is not installed.\n' + 'On Windows run: python.exe -m pip install diffq \n' + 'On Linux/Mac, run: python3 -m pip install diffq') + + +def get_quantizer(model, args, optimizer=None): + """Return the quantizer given the XP quantization args.""" + quantizer = None + if args.diffq: + _check_diffq() + from diffq import DiffQuantizer + quantizer = DiffQuantizer( + model, min_size=args.min_size, group_size=args.group_size) + if optimizer is not None: + quantizer.setup_optimizer(optimizer) + elif args.qat: + _check_diffq() + from diffq import UniformQuantizer + quantizer = UniformQuantizer( + model, bits=args.qat, min_size=args.min_size) + return quantizer + + +def load_model(path_or_package, strict=False): + """Load a model from the given serialized model, either given as a dict (already loaded) + or a path to a file on disk.""" + if isinstance(path_or_package, dict): + package = path_or_package + elif isinstance(path_or_package, (str, Path)): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + path = path_or_package + package = torch.load(path, 'cpu') + else: + raise ValueError(f"Invalid type for {path_or_package}.") + + klass = package["klass"] + args = package["args"] + kwargs = package["kwargs"] + + if strict: + model = klass(*args, **kwargs) + else: + sig = inspect.signature(klass) + for key in list(kwargs): + if key not in sig.parameters: + warnings.warn("Dropping inexistant parameter " + key) + del kwargs[key] + model = klass(*args, **kwargs) + + state = package["state"] + + set_state(model, state) + return model + + +def get_state(model, quantizer, half=False): + """Get the state from a model, potentially with quantization applied. + If `half` is True, model are stored as half precision, which shouldn't impact performance + but half the state size.""" + if quantizer is None: + dtype = torch.half if half else None + state = {k: p.data.to(device='cpu', dtype=dtype) for k, p in model.state_dict().items()} + else: + state = quantizer.get_quantized_state() + state['__quantized'] = True + return state + + +def set_state(model, state, quantizer=None): + """Set the state on a given model.""" + if state.get('__quantized'): + if quantizer is not None: + quantizer.restore_quantized_state(model, state['quantized']) + else: + _check_diffq() + from diffq import restore_quantized_state + restore_quantized_state(model, state) + else: + model.load_state_dict(state) + return state + + +def save_with_checksum(content, path): + """Save the given value on disk, along with a sha256 hash. + Should be used with the output of either `serialize_model` or `get_state`.""" + buf = io.BytesIO() + torch.save(content, buf) + sig = hashlib.sha256(buf.getvalue()).hexdigest()[:8] + + path = path.parent / (path.stem + "-" + sig + path.suffix) + path.write_bytes(buf.getvalue()) + + +def serialize_model(model, training_args, quantizer=None, half=True): + args, kwargs = model._init_args_kwargs + klass = model.__class__ + + state = get_state(model, quantizer, half) + return { + 'klass': klass, + 'args': args, + 'kwargs': kwargs, + 'state': state, + 'training_args': OmegaConf.to_container(training_args, resolve=True), + } + + +def copy_state(state): + return {k: v.cpu().clone() for k, v in state.items()} + + +@contextmanager +def swap_state(model, state): + """ + Context manager that swaps the state of a model, e.g: + + # model is in old state + with swap_state(model, new_state): + # model in new state + # model back to old state + """ + old_state = copy_state(model.state_dict()) + model.load_state_dict(state, strict=False) + try: + yield + finally: + model.load_state_dict(old_state) + + +def capture_init(init): + @functools.wraps(init) + def __init__(self, *args, **kwargs): + self._init_args_kwargs = (args, kwargs) + init(self, *args, **kwargs) + + return __init__ diff --git a/ext/py/demucs/demucs/svd.py b/ext/py/demucs/demucs/svd.py new file mode 100644 index 0000000..1cbaa82 --- /dev/null +++ b/ext/py/demucs/demucs/svd.py @@ -0,0 +1,83 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Ways to make the model stronger.""" +import random +import torch + + +def power_iteration(m, niters=1, bs=1): + """This is the power method. batch size is used to try multiple starting point in parallel.""" + assert m.dim() == 2 + assert m.shape[0] == m.shape[1] + dim = m.shape[0] + b = torch.randn(dim, bs, device=m.device, dtype=m.dtype) + + for _ in range(niters): + n = m.mm(b) + norm = n.norm(dim=0, keepdim=True) + b = n / (1e-10 + norm) + + return norm.mean() + + +# We need a shared RNG to make sure all the distributed worker will skip the penalty together, +# as otherwise we wouldn't get any speed up. +penalty_rng = random.Random(1234) + + +def svd_penalty(model, min_size=0.1, dim=1, niters=2, powm=False, convtr=True, + proba=1, conv_only=False, exact=False, bs=1): + """ + Penalty on the largest singular value for a layer. + Args: + - model: model to penalize + - min_size: minimum size in MB of a layer to penalize. + - dim: projection dimension for the svd_lowrank. Higher is better but slower. + - niters: number of iterations in the algorithm used by svd_lowrank. + - powm: use power method instead of lowrank SVD, my own experience + is that it is both slower and less stable. + - convtr: when True, differentiate between Conv and Transposed Conv. + this is kept for compatibility with older experiments. + - proba: probability to apply the penalty. + - conv_only: only apply to conv and conv transposed, not LSTM + (might not be reliable for other models than Demucs). + - exact: use exact SVD (slow but useful at validation). + - bs: batch_size for power method. + """ + total = 0 + if penalty_rng.random() > proba: + return 0. + + for m in model.modules(): + for name, p in m.named_parameters(recurse=False): + if p.numel() / 2**18 < min_size: + continue + if convtr: + if isinstance(m, (torch.nn.ConvTranspose1d, torch.nn.ConvTranspose2d)): + if p.dim() in [3, 4]: + p = p.transpose(0, 1).contiguous() + if p.dim() == 3: + p = p.view(len(p), -1) + elif p.dim() == 4: + p = p.view(len(p), -1) + elif p.dim() == 1: + continue + elif conv_only: + continue + assert p.dim() == 2, (name, p.shape) + if exact: + estimate = torch.svd(p, compute_uv=False)[1].pow(2).max() + elif powm: + a, b = p.shape + if a < b: + n = p.mm(p.t()) + else: + n = p.t().mm(p) + estimate = power_iteration(n, niters, bs) + else: + estimate = torch.svd_lowrank(p, dim, niters)[1][0].pow(2) + total += estimate + return total / proba diff --git a/ext/py/demucs/demucs/train.py b/ext/py/demucs/demucs/train.py new file mode 100644 index 0000000..e045b83 --- /dev/null +++ b/ext/py/demucs/demucs/train.py @@ -0,0 +1,252 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Main training script entry point""" + +import logging +import os +from pathlib import Path +import sys + +from dora import hydra_main +import hydra +from hydra.core.global_hydra import GlobalHydra +from omegaconf import OmegaConf +from . import audio_legacy +import torch +from torch import nn +import torchaudio +from torch.utils.data import ConcatDataset + +from . import distrib +from .wav import get_wav_datasets, get_musdb_wav_datasets +from .demucs import Demucs +from .hdemucs import HDemucs +from .htdemucs import HTDemucs +from .repitch import RepitchedWrapper +from .solver import Solver +from .states import capture_init +from .utils import random_subset + +logger = logging.getLogger(__name__) + + +class TorchHDemucsWrapper(nn.Module): + """Wrapper around torchaudio HDemucs implementation to provide the proper metadata + for model evaluation. + See https://pytorch.org/audio/stable/tutorials/hybrid_demucs_tutorial.html""" + + @capture_init + def __init__(self, **kwargs): + super().__init__() + try: + from torchaudio.models import HDemucs as TorchHDemucs + except ImportError: + raise ImportError("Please upgrade torchaudio for using its implementation of HDemucs") + self.samplerate = kwargs.pop('samplerate') + self.segment = kwargs.pop('segment') + self.sources = kwargs['sources'] + self.torch_hdemucs = TorchHDemucs(**kwargs) + + def forward(self, mix): + return self.torch_hdemucs.forward(mix) + + +def get_model(args): + extra = { + 'sources': list(args.dset.sources), + 'audio_channels': args.dset.channels, + 'samplerate': args.dset.samplerate, + 'segment': args.model_segment or 4 * args.dset.segment, + } + klass = { + 'demucs': Demucs, + 'hdemucs': HDemucs, + 'htdemucs': HTDemucs, + 'torch_hdemucs': TorchHDemucsWrapper, + }[args.model] + kw = OmegaConf.to_container(getattr(args, args.model), resolve=True) + model = klass(**extra, **kw) + return model + + +def get_optimizer(model, args): + seen_params = set() + other_params = [] + groups = [] + for n, module in model.named_modules(): + if hasattr(module, "make_optim_group"): + group = module.make_optim_group() + params = set(group["params"]) + assert params.isdisjoint(seen_params) + seen_params |= set(params) + groups.append(group) + for param in model.parameters(): + if param not in seen_params: + other_params.append(param) + groups.insert(0, {"params": other_params}) + parameters = groups + if args.optim.optim == "adam": + return torch.optim.Adam( + parameters, + lr=args.optim.lr, + betas=(args.optim.momentum, args.optim.beta2), + weight_decay=args.optim.weight_decay, + ) + elif args.optim.optim == "adamw": + return torch.optim.AdamW( + parameters, + lr=args.optim.lr, + betas=(args.optim.momentum, args.optim.beta2), + weight_decay=args.optim.weight_decay, + ) + else: + raise ValueError("Invalid optimizer %s", args.optim.optimizer) + + +def get_datasets(args): + if args.dset.backend: + torchaudio.set_audio_backend(args.dset.backend) + if args.dset.use_musdb: + train_set, valid_set = get_musdb_wav_datasets(args.dset) + else: + train_set, valid_set = [], [] + if args.dset.wav: + extra_train_set, extra_valid_set = get_wav_datasets(args.dset) + if len(args.dset.sources) <= 4: + train_set = ConcatDataset([train_set, extra_train_set]) + valid_set = ConcatDataset([valid_set, extra_valid_set]) + else: + train_set = extra_train_set + valid_set = extra_valid_set + + if args.dset.wav2: + extra_train_set, extra_valid_set = get_wav_datasets(args.dset, "wav2") + weight = args.dset.wav2_weight + if weight is not None: + b = len(train_set) + e = len(extra_train_set) + reps = max(1, round(e / b * (1 / weight - 1))) + else: + reps = 1 + train_set = ConcatDataset([train_set] * reps + [extra_train_set]) + if args.dset.wav2_valid: + if weight is not None: + b = len(valid_set) + n_kept = int(round(weight * b / (1 - weight))) + valid_set = ConcatDataset( + [valid_set, random_subset(extra_valid_set, n_kept)] + ) + else: + valid_set = ConcatDataset([valid_set, extra_valid_set]) + if args.dset.valid_samples is not None: + valid_set = random_subset(valid_set, args.dset.valid_samples) + assert len(train_set) + assert len(valid_set) + return train_set, valid_set + + +def get_solver(args, model_only=False): + distrib.init() + + torch.manual_seed(args.seed) + model = get_model(args) + if args.misc.show: + logger.info(model) + mb = sum(p.numel() for p in model.parameters()) * 4 / 2**20 + logger.info('Size: %.1f MB', mb) + if hasattr(model, 'valid_length'): + field = model.valid_length(1) + logger.info('Field: %.1f ms', field / args.dset.samplerate * 1000) + sys.exit(0) + + # torch also initialize cuda seed if available + if torch.cuda.is_available(): + model.cuda() + + # optimizer + optimizer = get_optimizer(model, args) + + assert args.batch_size % distrib.world_size == 0 + args.batch_size //= distrib.world_size + + if model_only: + return Solver(None, model, optimizer, args) + + train_set, valid_set = get_datasets(args) + + if args.augment.repitch.proba: + vocals = [] + if 'vocals' in args.dset.sources: + vocals.append(args.dset.sources.index('vocals')) + else: + logger.warning('No vocal source found') + if args.augment.repitch.proba: + train_set = RepitchedWrapper(train_set, vocals=vocals, **args.augment.repitch) + + logger.info("train/valid set size: %d %d", len(train_set), len(valid_set)) + train_loader = distrib.loader( + train_set, batch_size=args.batch_size, shuffle=True, + num_workers=args.misc.num_workers, drop_last=True) + if args.dset.full_cv: + valid_loader = distrib.loader( + valid_set, batch_size=1, shuffle=False, + num_workers=args.misc.num_workers) + else: + valid_loader = distrib.loader( + valid_set, batch_size=args.batch_size, shuffle=False, + num_workers=args.misc.num_workers, drop_last=True) + loaders = {"train": train_loader, "valid": valid_loader} + + # Construct Solver + return Solver(loaders, model, optimizer, args) + + +def get_solver_from_sig(sig, model_only=False): + inst = GlobalHydra.instance() + hyd = None + if inst.is_initialized(): + hyd = inst.hydra + inst.clear() + xp = main.get_xp_from_sig(sig) + if hyd is not None: + inst.clear() + inst.initialize(hyd) + + with xp.enter(stack=True): + return get_solver(xp.cfg, model_only) + + +@hydra_main(config_path="../conf", config_name="config", version_base="1.1") +def main(args): + global __file__ + __file__ = hydra.utils.to_absolute_path(__file__) + for attr in ["musdb", "wav", "metadata"]: + val = getattr(args.dset, attr) + if val is not None: + setattr(args.dset, attr, hydra.utils.to_absolute_path(val)) + + os.environ["OMP_NUM_THREADS"] = "1" + os.environ["MKL_NUM_THREADS"] = "1" + + if args.misc.verbose: + logger.setLevel(logging.DEBUG) + + logger.info("For logs, checkpoints and samples check %s", os.getcwd()) + logger.debug(args) + from dora import get_xp + logger.debug(get_xp().cfg) + + solver = get_solver(args) + solver.train() + + +if '_DORA_TEST_PATH' in os.environ: + main.dora.dir = Path(os.environ['_DORA_TEST_PATH']) + + +if __name__ == "__main__": + main() diff --git a/ext/py/demucs/demucs/transformer.py b/ext/py/demucs/demucs/transformer.py new file mode 100644 index 0000000..56a465b --- /dev/null +++ b/ext/py/demucs/demucs/transformer.py @@ -0,0 +1,839 @@ +# Copyright (c) 2019-present, Meta, Inc. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# First author is Simon Rouard. + +import random +import typing as tp + +import torch +import torch.nn as nn +import torch.nn.functional as F +import numpy as np +import math +from einops import rearrange + + +def create_sin_embedding( + length: int, dim: int, shift: int = 0, device="cpu", max_period=10000 +): + # We aim for TBC format + assert dim % 2 == 0 + pos = shift + torch.arange(length, device=device).view(-1, 1, 1) + half_dim = dim // 2 + adim = torch.arange(dim // 2, device=device).view(1, 1, -1) + phase = pos / (max_period ** (adim / (half_dim - 1))) + return torch.cat( + [ + torch.cos(phase), + torch.sin(phase), + ], + dim=-1, + ) + + +def create_2d_sin_embedding(d_model, height, width, device="cpu", max_period=10000): + """ + :param d_model: dimension of the model + :param height: height of the positions + :param width: width of the positions + :return: d_model*height*width position matrix + """ + if d_model % 4 != 0: + raise ValueError( + "Cannot use sin/cos positional encoding with " + "odd dimension (got dim={:d})".format(d_model) + ) + pe = torch.zeros(d_model, height, width) + # Each dimension use half of d_model + d_model = int(d_model / 2) + div_term = torch.exp( + torch.arange(0.0, d_model, 2) * -(math.log(max_period) / d_model) + ) + pos_w = torch.arange(0.0, width).unsqueeze(1) + pos_h = torch.arange(0.0, height).unsqueeze(1) + pe[0:d_model:2, :, :] = ( + torch.sin(pos_w * div_term).transpose(0, 1).unsqueeze(1).repeat(1, height, 1) + ) + pe[1:d_model:2, :, :] = ( + torch.cos(pos_w * div_term).transpose(0, 1).unsqueeze(1).repeat(1, height, 1) + ) + pe[d_model::2, :, :] = ( + torch.sin(pos_h * div_term).transpose(0, 1).unsqueeze(2).repeat(1, 1, width) + ) + pe[d_model + 1:: 2, :, :] = ( + torch.cos(pos_h * div_term).transpose(0, 1).unsqueeze(2).repeat(1, 1, width) + ) + + return pe[None, :].to(device) + + +def create_sin_embedding_cape( + length: int, + dim: int, + batch_size: int, + mean_normalize: bool, + augment: bool, # True during training + max_global_shift: float = 0.0, # delta max + max_local_shift: float = 0.0, # epsilon max + max_scale: float = 1.0, + device: str = "cpu", + max_period: float = 10000.0, +): + # We aim for TBC format + assert dim % 2 == 0 + pos = 1.0 * torch.arange(length).view(-1, 1, 1) # (length, 1, 1) + pos = pos.repeat(1, batch_size, 1) # (length, batch_size, 1) + if mean_normalize: + pos -= torch.nanmean(pos, dim=0, keepdim=True) + + if augment: + delta = np.random.uniform( + -max_global_shift, +max_global_shift, size=[1, batch_size, 1] + ) + delta_local = np.random.uniform( + -max_local_shift, +max_local_shift, size=[length, batch_size, 1] + ) + log_lambdas = np.random.uniform( + -np.log(max_scale), +np.log(max_scale), size=[1, batch_size, 1] + ) + pos = (pos + delta + delta_local) * np.exp(log_lambdas) + + pos = pos.to(device) + + half_dim = dim // 2 + adim = torch.arange(dim // 2, device=device).view(1, 1, -1) + phase = pos / (max_period ** (adim / (half_dim - 1))) + return torch.cat( + [ + torch.cos(phase), + torch.sin(phase), + ], + dim=-1, + ).float() + + +def get_causal_mask(length): + pos = torch.arange(length) + return pos > pos[:, None] + + +def get_elementary_mask( + T1, + T2, + mask_type, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, +): + """ + When the input of the Decoder has length T1 and the output T2 + The mask matrix has shape (T2, T1) + """ + assert mask_type in ["diag", "jmask", "random", "global"] + + if mask_type == "global": + mask = torch.zeros(T2, T1, dtype=torch.bool) + mask[:, :global_window] = True + line_window = int(global_window * T2 / T1) + mask[:line_window, :] = True + + if mask_type == "diag": + + mask = torch.zeros(T2, T1, dtype=torch.bool) + rows = torch.arange(T2)[:, None] + cols = ( + (T1 / T2 * rows + torch.arange(-sparse_attn_window, sparse_attn_window + 1)) + .long() + .clamp(0, T1 - 1) + ) + mask.scatter_(1, cols, torch.ones(1, dtype=torch.bool).expand_as(cols)) + + elif mask_type == "jmask": + mask = torch.zeros(T2 + 2, T1 + 2, dtype=torch.bool) + rows = torch.arange(T2 + 2)[:, None] + t = torch.arange(0, int((2 * T1) ** 0.5 + 1)) + t = (t * (t + 1) / 2).int() + t = torch.cat([-t.flip(0)[:-1], t]) + cols = (T1 / T2 * rows + t).long().clamp(0, T1 + 1) + mask.scatter_(1, cols, torch.ones(1, dtype=torch.bool).expand_as(cols)) + mask = mask[1:-1, 1:-1] + + elif mask_type == "random": + gene = torch.Generator(device=device) + gene.manual_seed(mask_random_seed) + mask = ( + torch.rand(T1 * T2, generator=gene, device=device).reshape(T2, T1) + > sparsity + ) + + mask = mask.to(device) + return mask + + +def get_mask( + T1, + T2, + mask_type, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, +): + """ + Return a SparseCSRTensor mask that is a combination of elementary masks + mask_type can be a combination of multiple masks: for instance "diag_jmask_random" + """ + from xformers.sparse import SparseCSRTensor + # create a list + mask_types = mask_type.split("_") + + all_masks = [ + get_elementary_mask( + T1, + T2, + mask, + sparse_attn_window, + global_window, + mask_random_seed, + sparsity, + device, + ) + for mask in mask_types + ] + + final_mask = torch.stack(all_masks).sum(axis=0) > 0 + + return SparseCSRTensor.from_dense(final_mask[None]) + + +class ScaledEmbedding(nn.Module): + def __init__( + self, + num_embeddings: int, + embedding_dim: int, + scale: float = 1.0, + boost: float = 3.0, + ): + super().__init__() + self.embedding = nn.Embedding(num_embeddings, embedding_dim) + self.embedding.weight.data *= scale / boost + self.boost = boost + + @property + def weight(self): + return self.embedding.weight * self.boost + + def forward(self, x): + return self.embedding(x) * self.boost + + +class LayerScale(nn.Module): + """Layer scale from [Touvron et al 2021] (https://arxiv.org/pdf/2103.17239.pdf). + This rescales diagonaly residual outputs close to 0 initially, then learnt. + """ + + def __init__(self, channels: int, init: float = 0, channel_last=False): + """ + channel_last = False corresponds to (B, C, T) tensors + channel_last = True corresponds to (T, B, C) tensors + """ + super().__init__() + self.channel_last = channel_last + self.scale = nn.Parameter(torch.zeros(channels, requires_grad=True)) + self.scale.data[:] = init + + def forward(self, x): + if self.channel_last: + return self.scale * x + else: + return self.scale[:, None] * x + + +class MyGroupNorm(nn.GroupNorm): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def forward(self, x): + """ + x: (B, T, C) + if num_groups=1: Normalisation on all T and C together for each B + """ + x = x.transpose(1, 2) + return super().forward(x).transpose(1, 2) + + +class MyTransformerEncoderLayer(nn.TransformerEncoderLayer): + def __init__( + self, + d_model, + nhead, + dim_feedforward=2048, + dropout=0.1, + activation=F.relu, + group_norm=0, + norm_first=False, + norm_out=False, + layer_norm_eps=1e-5, + layer_scale=False, + init_values=1e-4, + device=None, + dtype=None, + sparse=False, + mask_type="diag", + mask_random_seed=42, + sparse_attn_window=500, + global_window=50, + auto_sparsity=False, + sparsity=0.95, + batch_first=False, + ): + factory_kwargs = {"device": device, "dtype": dtype} + super().__init__( + d_model=d_model, + nhead=nhead, + dim_feedforward=dim_feedforward, + dropout=dropout, + activation=activation, + layer_norm_eps=layer_norm_eps, + batch_first=batch_first, + norm_first=norm_first, + device=device, + dtype=dtype, + ) + self.sparse = sparse + self.auto_sparsity = auto_sparsity + if sparse: + if not auto_sparsity: + self.mask_type = mask_type + self.sparse_attn_window = sparse_attn_window + self.global_window = global_window + self.sparsity = sparsity + if group_norm: + self.norm1 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + + self.norm_out = None + if self.norm_first & norm_out: + self.norm_out = MyGroupNorm(num_groups=int(norm_out), num_channels=d_model) + self.gamma_1 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + self.gamma_2 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + + if sparse: + self.self_attn = MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first, + auto_sparsity=sparsity if auto_sparsity else 0, + ) + self.__setattr__("src_mask", torch.zeros(1, 1)) + self.mask_random_seed = mask_random_seed + + def forward(self, src, src_mask=None, src_key_padding_mask=None): + """ + if batch_first = False, src shape is (T, B, C) + the case where batch_first=True is not covered + """ + device = src.device + x = src + T, B, C = x.shape + if self.sparse and not self.auto_sparsity: + assert src_mask is None + src_mask = self.src_mask + if src_mask.shape[-1] != T: + src_mask = get_mask( + T, + T, + self.mask_type, + self.sparse_attn_window, + self.global_window, + self.mask_random_seed, + self.sparsity, + device, + ) + self.__setattr__("src_mask", src_mask) + + if self.norm_first: + x = x + self.gamma_1( + self._sa_block(self.norm1(x), src_mask, src_key_padding_mask) + ) + x = x + self.gamma_2(self._ff_block(self.norm2(x))) + + if self.norm_out: + x = self.norm_out(x) + else: + x = self.norm1( + x + self.gamma_1(self._sa_block(x, src_mask, src_key_padding_mask)) + ) + x = self.norm2(x + self.gamma_2(self._ff_block(x))) + + return x + + +class CrossTransformerEncoderLayer(nn.Module): + def __init__( + self, + d_model: int, + nhead: int, + dim_feedforward: int = 2048, + dropout: float = 0.1, + activation=F.relu, + layer_norm_eps: float = 1e-5, + layer_scale: bool = False, + init_values: float = 1e-4, + norm_first: bool = False, + group_norm: bool = False, + norm_out: bool = False, + sparse=False, + mask_type="diag", + mask_random_seed=42, + sparse_attn_window=500, + global_window=50, + sparsity=0.95, + auto_sparsity=None, + device=None, + dtype=None, + batch_first=False, + ): + factory_kwargs = {"device": device, "dtype": dtype} + super().__init__() + + self.sparse = sparse + self.auto_sparsity = auto_sparsity + if sparse: + if not auto_sparsity: + self.mask_type = mask_type + self.sparse_attn_window = sparse_attn_window + self.global_window = global_window + self.sparsity = sparsity + + self.cross_attn: nn.Module + self.cross_attn = nn.MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first) + # Implementation of Feedforward model + self.linear1 = nn.Linear(d_model, dim_feedforward, **factory_kwargs) + self.dropout = nn.Dropout(dropout) + self.linear2 = nn.Linear(dim_feedforward, d_model, **factory_kwargs) + + self.norm_first = norm_first + self.norm1: nn.Module + self.norm2: nn.Module + self.norm3: nn.Module + if group_norm: + self.norm1 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm3 = MyGroupNorm(int(group_norm), d_model, eps=layer_norm_eps, **factory_kwargs) + else: + self.norm1 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm2 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + self.norm3 = nn.LayerNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + + self.norm_out = None + if self.norm_first & norm_out: + self.norm_out = MyGroupNorm(num_groups=int(norm_out), num_channels=d_model) + + self.gamma_1 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + self.gamma_2 = ( + LayerScale(d_model, init_values, True) if layer_scale else nn.Identity() + ) + + self.dropout1 = nn.Dropout(dropout) + self.dropout2 = nn.Dropout(dropout) + + # Legacy string support for activation function. + if isinstance(activation, str): + self.activation = self._get_activation_fn(activation) + else: + self.activation = activation + + if sparse: + self.cross_attn = MultiheadAttention( + d_model, nhead, dropout=dropout, batch_first=batch_first, + auto_sparsity=sparsity if auto_sparsity else 0) + if not auto_sparsity: + self.__setattr__("mask", torch.zeros(1, 1)) + self.mask_random_seed = mask_random_seed + + def forward(self, q, k, mask=None): + """ + Args: + q: tensor of shape (T, B, C) + k: tensor of shape (S, B, C) + mask: tensor of shape (T, S) + + """ + device = q.device + T, B, C = q.shape + S, B, C = k.shape + if self.sparse and not self.auto_sparsity: + assert mask is None + mask = self.mask + if mask.shape[-1] != S or mask.shape[-2] != T: + mask = get_mask( + S, + T, + self.mask_type, + self.sparse_attn_window, + self.global_window, + self.mask_random_seed, + self.sparsity, + device, + ) + self.__setattr__("mask", mask) + + if self.norm_first: + x = q + self.gamma_1(self._ca_block(self.norm1(q), self.norm2(k), mask)) + x = x + self.gamma_2(self._ff_block(self.norm3(x))) + if self.norm_out: + x = self.norm_out(x) + else: + x = self.norm1(q + self.gamma_1(self._ca_block(q, k, mask))) + x = self.norm2(x + self.gamma_2(self._ff_block(x))) + + return x + + # self-attention block + def _ca_block(self, q, k, attn_mask=None): + x = self.cross_attn(q, k, k, attn_mask=attn_mask, need_weights=False)[0] + return self.dropout1(x) + + # feed forward block + def _ff_block(self, x): + x = self.linear2(self.dropout(self.activation(self.linear1(x)))) + return self.dropout2(x) + + def _get_activation_fn(self, activation): + if activation == "relu": + return F.relu + elif activation == "gelu": + return F.gelu + + raise RuntimeError("activation should be relu/gelu, not {}".format(activation)) + + +# ----------------- MULTI-BLOCKS MODELS: ----------------------- + + +class CrossTransformerEncoder(nn.Module): + def __init__( + self, + dim: int, + emb: str = "sin", + hidden_scale: float = 4.0, + num_heads: int = 8, + num_layers: int = 6, + cross_first: bool = False, + dropout: float = 0.0, + max_positions: int = 1000, + norm_in: bool = True, + norm_in_group: bool = False, + group_norm: int = False, + norm_first: bool = False, + norm_out: bool = False, + max_period: float = 10000.0, + weight_decay: float = 0.0, + lr: tp.Optional[float] = None, + layer_scale: bool = False, + gelu: bool = True, + sin_random_shift: int = 0, + weight_pos_embed: float = 1.0, + cape_mean_normalize: bool = True, + cape_augment: bool = True, + cape_glob_loc_scale: list = [5000.0, 1.0, 1.4], + sparse_self_attn: bool = False, + sparse_cross_attn: bool = False, + mask_type: str = "diag", + mask_random_seed: int = 42, + sparse_attn_window: int = 500, + global_window: int = 50, + auto_sparsity: bool = False, + sparsity: float = 0.95, + ): + super().__init__() + """ + """ + assert dim % num_heads == 0 + + hidden_dim = int(dim * hidden_scale) + + self.num_layers = num_layers + # classic parity = 1 means that if idx%2 == 1 there is a + # classical encoder else there is a cross encoder + self.classic_parity = 1 if cross_first else 0 + self.emb = emb + self.max_period = max_period + self.weight_decay = weight_decay + self.weight_pos_embed = weight_pos_embed + self.sin_random_shift = sin_random_shift + if emb == "cape": + self.cape_mean_normalize = cape_mean_normalize + self.cape_augment = cape_augment + self.cape_glob_loc_scale = cape_glob_loc_scale + if emb == "scaled": + self.position_embeddings = ScaledEmbedding(max_positions, dim, scale=0.2) + + self.lr = lr + + activation: tp.Any = F.gelu if gelu else F.relu + + self.norm_in: nn.Module + self.norm_in_t: nn.Module + if norm_in: + self.norm_in = nn.LayerNorm(dim) + self.norm_in_t = nn.LayerNorm(dim) + elif norm_in_group: + self.norm_in = MyGroupNorm(int(norm_in_group), dim) + self.norm_in_t = MyGroupNorm(int(norm_in_group), dim) + else: + self.norm_in = nn.Identity() + self.norm_in_t = nn.Identity() + + # spectrogram layers + self.layers = nn.ModuleList() + # temporal layers + self.layers_t = nn.ModuleList() + + kwargs_common = { + "d_model": dim, + "nhead": num_heads, + "dim_feedforward": hidden_dim, + "dropout": dropout, + "activation": activation, + "group_norm": group_norm, + "norm_first": norm_first, + "norm_out": norm_out, + "layer_scale": layer_scale, + "mask_type": mask_type, + "mask_random_seed": mask_random_seed, + "sparse_attn_window": sparse_attn_window, + "global_window": global_window, + "sparsity": sparsity, + "auto_sparsity": auto_sparsity, + "batch_first": True, + } + + kwargs_classic_encoder = dict(kwargs_common) + kwargs_classic_encoder.update({ + "sparse": sparse_self_attn, + }) + kwargs_cross_encoder = dict(kwargs_common) + kwargs_cross_encoder.update({ + "sparse": sparse_cross_attn, + }) + + for idx in range(num_layers): + if idx % 2 == self.classic_parity: + + self.layers.append(MyTransformerEncoderLayer(**kwargs_classic_encoder)) + self.layers_t.append( + MyTransformerEncoderLayer(**kwargs_classic_encoder) + ) + + else: + self.layers.append(CrossTransformerEncoderLayer(**kwargs_cross_encoder)) + + self.layers_t.append( + CrossTransformerEncoderLayer(**kwargs_cross_encoder) + ) + + def forward(self, x, xt): + B, C, Fr, T1 = x.shape + pos_emb_2d = create_2d_sin_embedding( + C, Fr, T1, x.device, self.max_period + ) # (1, C, Fr, T1) + pos_emb_2d = rearrange(pos_emb_2d, "b c fr t1 -> b (t1 fr) c") + x = rearrange(x, "b c fr t1 -> b (t1 fr) c") + x = self.norm_in(x) + x = x + self.weight_pos_embed * pos_emb_2d + + B, C, T2 = xt.shape + xt = rearrange(xt, "b c t2 -> b t2 c") # now T2, B, C + pos_emb = self._get_pos_embedding(T2, B, C, x.device) + pos_emb = rearrange(pos_emb, "t2 b c -> b t2 c") + xt = self.norm_in_t(xt) + xt = xt + self.weight_pos_embed * pos_emb + + for idx in range(self.num_layers): + if idx % 2 == self.classic_parity: + x = self.layers[idx](x) + xt = self.layers_t[idx](xt) + else: + old_x = x + x = self.layers[idx](x, xt) + xt = self.layers_t[idx](xt, old_x) + + x = rearrange(x, "b (t1 fr) c -> b c fr t1", t1=T1) + xt = rearrange(xt, "b t2 c -> b c t2") + return x, xt + + def _get_pos_embedding(self, T, B, C, device): + if self.emb == "sin": + shift = random.randrange(self.sin_random_shift + 1) + pos_emb = create_sin_embedding( + T, C, shift=shift, device=device, max_period=self.max_period + ) + elif self.emb == "cape": + if self.training: + pos_emb = create_sin_embedding_cape( + T, + C, + B, + device=device, + max_period=self.max_period, + mean_normalize=self.cape_mean_normalize, + augment=self.cape_augment, + max_global_shift=self.cape_glob_loc_scale[0], + max_local_shift=self.cape_glob_loc_scale[1], + max_scale=self.cape_glob_loc_scale[2], + ) + else: + pos_emb = create_sin_embedding_cape( + T, + C, + B, + device=device, + max_period=self.max_period, + mean_normalize=self.cape_mean_normalize, + augment=False, + ) + + elif self.emb == "scaled": + pos = torch.arange(T, device=device) + pos_emb = self.position_embeddings(pos)[:, None] + + return pos_emb + + def make_optim_group(self): + group = {"params": list(self.parameters()), "weight_decay": self.weight_decay} + if self.lr is not None: + group["lr"] = self.lr + return group + + +# Attention Modules + + +class MultiheadAttention(nn.Module): + def __init__( + self, + embed_dim, + num_heads, + dropout=0.0, + bias=True, + add_bias_kv=False, + add_zero_attn=False, + kdim=None, + vdim=None, + batch_first=False, + auto_sparsity=None, + ): + super().__init__() + assert auto_sparsity is not None, "sanity check" + self.num_heads = num_heads + self.q = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.k = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.v = torch.nn.Linear(embed_dim, embed_dim, bias=bias) + self.attn_drop = torch.nn.Dropout(dropout) + self.proj = torch.nn.Linear(embed_dim, embed_dim, bias) + self.proj_drop = torch.nn.Dropout(dropout) + self.batch_first = batch_first + self.auto_sparsity = auto_sparsity + + def forward( + self, + query, + key, + value, + key_padding_mask=None, + need_weights=True, + attn_mask=None, + average_attn_weights=True, + ): + + if not self.batch_first: # N, B, C + query = query.permute(1, 0, 2) # B, N_q, C + key = key.permute(1, 0, 2) # B, N_k, C + value = value.permute(1, 0, 2) # B, N_k, C + B, N_q, C = query.shape + B, N_k, C = key.shape + + q = ( + self.q(query) + .reshape(B, N_q, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + q = q.flatten(0, 1) + k = ( + self.k(key) + .reshape(B, N_k, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + k = k.flatten(0, 1) + v = ( + self.v(value) + .reshape(B, N_k, self.num_heads, C // self.num_heads) + .permute(0, 2, 1, 3) + ) + v = v.flatten(0, 1) + + if self.auto_sparsity: + assert attn_mask is None + x = dynamic_sparse_attention(q, k, v, sparsity=self.auto_sparsity) + else: + x = scaled_dot_product_attention(q, k, v, attn_mask, dropout=self.attn_drop) + x = x.reshape(B, self.num_heads, N_q, C // self.num_heads) + + x = x.transpose(1, 2).reshape(B, N_q, C) + x = self.proj(x) + x = self.proj_drop(x) + if not self.batch_first: + x = x.permute(1, 0, 2) + return x, None + + +def scaled_query_key_softmax(q, k, att_mask): + from xformers.ops import masked_matmul + q = q / (k.size(-1)) ** 0.5 + att = masked_matmul(q, k.transpose(-2, -1), att_mask) + att = torch.nn.functional.softmax(att, -1) + return att + + +def scaled_dot_product_attention(q, k, v, att_mask, dropout): + att = scaled_query_key_softmax(q, k, att_mask=att_mask) + att = dropout(att) + y = att @ v + return y + + +def _compute_buckets(x, R): + qq = torch.einsum('btf,bfhi->bhti', x, R) + qq = torch.cat([qq, -qq], dim=-1) + buckets = qq.argmax(dim=-1) + + return buckets.permute(0, 2, 1).byte().contiguous() + + +def dynamic_sparse_attention(query, key, value, sparsity, infer_sparsity=True, attn_bias=None): + # assert False, "The code for the custom sparse kernel is not ready for release yet." + from xformers.ops import find_locations, sparse_memory_efficient_attention + n_hashes = 32 + proj_size = 4 + query, key, value = [x.contiguous() for x in [query, key, value]] + with torch.no_grad(): + R = torch.randn(1, query.shape[-1], n_hashes, proj_size // 2, device=query.device) + bucket_query = _compute_buckets(query, R) + bucket_key = _compute_buckets(key, R) + row_offsets, column_indices = find_locations( + bucket_query, bucket_key, sparsity, infer_sparsity) + return sparse_memory_efficient_attention( + query, key, value, row_offsets, column_indices, attn_bias) diff --git a/ext/py/demucs/demucs/utils.py b/ext/py/demucs/demucs/utils.py new file mode 100644 index 0000000..a3f5993 --- /dev/null +++ b/ext/py/demucs/demucs/utils.py @@ -0,0 +1,149 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from collections import defaultdict +from concurrent.futures import CancelledError +from contextlib import contextmanager +import math +import os +import tempfile +import typing as tp + +import torch +from torch.nn import functional as F +from torch.utils.data import Subset + + +def unfold(a, kernel_size, stride): + """Given input of size [*OT, T], output Tensor of size [*OT, F, K] + with K the kernel size, by extracting frames with the given stride. + + This will pad the input so that `F = ceil(T / K)`. + + see https://github.com/pytorch/pytorch/issues/60466 + """ + *shape, length = a.shape + n_frames = math.ceil(length / stride) + tgt_length = (n_frames - 1) * stride + kernel_size + a = F.pad(a, (0, tgt_length - length)) + strides = list(a.stride()) + assert strides[-1] == 1, 'data should be contiguous' + strides = strides[:-1] + [stride, 1] + return a.as_strided([*shape, n_frames, kernel_size], strides) + + +def center_trim(tensor: torch.Tensor, reference: tp.Union[torch.Tensor, int]): + """ + Center trim `tensor` with respect to `reference`, along the last dimension. + `reference` can also be a number, representing the length to trim to. + If the size difference != 0 mod 2, the extra sample is removed on the right side. + """ + ref_size: int + if isinstance(reference, torch.Tensor): + ref_size = reference.size(-1) + else: + ref_size = reference + delta = tensor.size(-1) - ref_size + if delta < 0: + raise ValueError("tensor must be larger than reference. " f"Delta is {delta}.") + if delta: + tensor = tensor[..., delta // 2:-(delta - delta // 2)] + return tensor + + +def pull_metric(history: tp.List[dict], name: str): + out = [] + for metrics in history: + metric = metrics + for part in name.split("."): + metric = metric[part] + out.append(metric) + return out + + +def EMA(beta: float = 1): + """ + Exponential Moving Average callback. + Returns a single function that can be called to repeatidly update the EMA + with a dict of metrics. The callback will return + the new averaged dict of metrics. + + Note that for `beta=1`, this is just plain averaging. + """ + fix: tp.Dict[str, float] = defaultdict(float) + total: tp.Dict[str, float] = defaultdict(float) + + def _update(metrics: dict, weight: float = 1) -> dict: + nonlocal total, fix + for key, value in metrics.items(): + total[key] = total[key] * beta + weight * float(value) + fix[key] = fix[key] * beta + weight + return {key: tot / fix[key] for key, tot in total.items()} + return _update + + +def sizeof_fmt(num: float, suffix: str = 'B'): + """ + Given `num` bytes, return human readable size. + Taken from https://stackoverflow.com/a/1094933 + """ + for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']: + if abs(num) < 1024.0: + return "%3.1f%s%s" % (num, unit, suffix) + num /= 1024.0 + return "%.1f%s%s" % (num, 'Yi', suffix) + + +@contextmanager +def temp_filenames(count: int, delete=True): + names = [] + try: + for _ in range(count): + names.append(tempfile.NamedTemporaryFile(delete=False).name) + yield names + finally: + if delete: + for name in names: + os.unlink(name) + + +def random_subset(dataset, max_samples: int, seed: int = 42): + if max_samples >= len(dataset): + return dataset + + generator = torch.Generator().manual_seed(seed) + perm = torch.randperm(len(dataset), generator=generator) + return Subset(dataset, perm[:max_samples].tolist()) + + +class DummyPoolExecutor: + class DummyResult: + def __init__(self, func, _dict, *args, **kwargs): + self.func = func + self._dict = _dict + self.args = args + self.kwargs = kwargs + + def result(self): + if self._dict["run"]: + return self.func(*self.args, **self.kwargs) + else: + raise CancelledError() + + def __init__(self, workers=0): + self._dict = {"run": True} + + def submit(self, func, *args, **kwargs): + return DummyPoolExecutor.DummyResult(func, self._dict, *args, **kwargs) + + def shutdown(self, *_, **__): + self._dict["run"] = False + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, exc_tb): + return diff --git a/ext/py/demucs/demucs/wav.py b/ext/py/demucs/demucs/wav.py new file mode 100644 index 0000000..ca1e23a --- /dev/null +++ b/ext/py/demucs/demucs/wav.py @@ -0,0 +1,255 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +"""Loading wav based datasets, including MusdbHQ.""" + +from collections import OrderedDict +import hashlib +import math +import json +import os +from pathlib import Path +import tqdm + +import musdb +import julius +from . import audio_legacy +import torch as th +from torch import distributed +import torchaudio as ta +from torch.nn import functional as F + +from .audio import convert_audio_channels +from . import distrib + +MIXTURE = "mixture" +EXT = ".wav" + + +def _track_metadata(track, sources, normalize=True, ext=EXT): + track_length = None + track_samplerate = None + mean = 0 + std = 1 + for source in sources + [MIXTURE]: + file = track / f"{source}{ext}" + if source == MIXTURE and not file.exists(): + audio = 0 + for sub_source in sources: + sub_file = track / f"{sub_source}{ext}" + sub_audio, sr = ta.load(sub_file) + audio += sub_audio + would_clip = audio.abs().max() >= 1 + if would_clip: + assert ta.get_audio_backend() == 'soundfile', 'use dset.backend=soundfile' + ta.save(file, audio, sr, encoding='PCM_F') + + try: + info = ta.info(str(file)) + except RuntimeError: + print(file) + raise + length = info.num_frames + if track_length is None: + track_length = length + track_samplerate = info.sample_rate + elif track_length != length: + raise ValueError( + f"Invalid length for file {file}: " + f"expecting {track_length} but got {length}.") + elif info.sample_rate != track_samplerate: + raise ValueError( + f"Invalid sample rate for file {file}: " + f"expecting {track_samplerate} but got {info.sample_rate}.") + if source == MIXTURE and normalize: + try: + wav, _ = ta.load(str(file)) + except RuntimeError: + print(file) + raise + wav = wav.mean(0) + mean = wav.mean().item() + std = wav.std().item() + + return {"length": length, "mean": mean, "std": std, "samplerate": track_samplerate} + + +def build_metadata(path, sources, normalize=True, ext=EXT): + """ + Build the metadata for `Wavset`. + + Args: + path (str or Path): path to dataset. + sources (list[str]): list of sources to look for. + normalize (bool): if True, loads full track and store normalization + values based on the mixture file. + ext (str): extension of audio files (default is .wav). + """ + + meta = {} + path = Path(path) + pendings = [] + from concurrent.futures import ThreadPoolExecutor + with ThreadPoolExecutor(8) as pool: + for root, folders, files in os.walk(path, followlinks=True): + root = Path(root) + if root.name.startswith('.') or folders or root == path: + continue + name = str(root.relative_to(path)) + pendings.append((name, pool.submit(_track_metadata, root, sources, normalize, ext))) + # meta[name] = _track_metadata(root, sources, normalize, ext) + for name, pending in tqdm.tqdm(pendings, ncols=120): + meta[name] = pending.result() + return meta + + +class Wavset: + def __init__( + self, + root, metadata, sources, + segment=None, shift=None, normalize=True, + samplerate=44100, channels=2, ext=EXT): + """ + Waveset (or mp3 set for that matter). Can be used to train + with arbitrary sources. Each track should be one folder inside of `path`. + The folder should contain files named `{source}.{ext}`. + + Args: + root (Path or str): root folder for the dataset. + metadata (dict): output from `build_metadata`. + sources (list[str]): list of source names. + segment (None or float): segment length in seconds. If `None`, returns entire tracks. + shift (None or float): stride in seconds bewteen samples. + normalize (bool): normalizes input audio, **based on the metadata content**, + i.e. the entire track is normalized, not individual extracts. + samplerate (int): target sample rate. if the file sample rate + is different, it will be resampled on the fly. + channels (int): target nb of channels. if different, will be + changed onthe fly. + ext (str): extension for audio files (default is .wav). + + samplerate and channels are converted on the fly. + """ + self.root = Path(root) + self.metadata = OrderedDict(metadata) + self.segment = segment + self.shift = shift or segment + self.normalize = normalize + self.sources = sources + self.channels = channels + self.samplerate = samplerate + self.ext = ext + self.num_examples = [] + for name, meta in self.metadata.items(): + track_duration = meta['length'] / meta['samplerate'] + if segment is None or track_duration < segment: + examples = 1 + else: + examples = int(math.ceil((track_duration - self.segment) / self.shift) + 1) + self.num_examples.append(examples) + + def __len__(self): + return sum(self.num_examples) + + def get_file(self, name, source): + return self.root / name / f"{source}{self.ext}" + + def __getitem__(self, index): + for name, examples in zip(self.metadata, self.num_examples): + if index >= examples: + index -= examples + continue + meta = self.metadata[name] + num_frames = -1 + offset = 0 + if self.segment is not None: + offset = int(meta['samplerate'] * self.shift * index) + num_frames = int(math.ceil(meta['samplerate'] * self.segment)) + wavs = [] + for source in self.sources: + file = self.get_file(name, source) + wav, _ = ta.load(str(file), frame_offset=offset, num_frames=num_frames) + wav = convert_audio_channels(wav, self.channels) + wavs.append(wav) + + example = th.stack(wavs) + example = julius.resample_frac(example, meta['samplerate'], self.samplerate) + if self.normalize: + example = (example - meta['mean']) / meta['std'] + if self.segment: + length = int(self.segment * self.samplerate) + example = example[..., :length] + example = F.pad(example, (0, length - example.shape[-1])) + return example + + +def get_wav_datasets(args, name='wav'): + """Extract the wav datasets from the XP arguments.""" + path = getattr(args, name) + sig = hashlib.sha1(str(path).encode()).hexdigest()[:8] + metadata_file = Path(args.metadata) / ('wav_' + sig + ".json") + train_path = Path(path) / "train" + valid_path = Path(path) / "valid" + if not metadata_file.is_file() and distrib.rank == 0: + metadata_file.parent.mkdir(exist_ok=True, parents=True) + train = build_metadata(train_path, args.sources) + valid = build_metadata(valid_path, args.sources) + json.dump([train, valid], open(metadata_file, "w")) + if distrib.world_size > 1: + distributed.barrier() + train, valid = json.load(open(metadata_file)) + if args.full_cv: + kw_cv = {} + else: + kw_cv = {'segment': args.segment, 'shift': args.shift} + train_set = Wavset(train_path, train, args.sources, + segment=args.segment, shift=args.shift, + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize) + valid_set = Wavset(valid_path, valid, [MIXTURE] + list(args.sources), + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize, **kw_cv) + return train_set, valid_set + + +def _get_musdb_valid(): + # Return musdb valid set. + import yaml + setup_path = Path(musdb.__path__[0]) / 'configs' / 'mus.yaml' + setup = yaml.safe_load(open(setup_path, 'r')) + return setup['validation_tracks'] + + +def get_musdb_wav_datasets(args): + """Extract the musdb dataset from the XP arguments.""" + sig = hashlib.sha1(str(args.musdb).encode()).hexdigest()[:8] + metadata_file = Path(args.metadata) / ('musdb_' + sig + ".json") + root = Path(args.musdb) / "train" + if not metadata_file.is_file() and distrib.rank == 0: + metadata_file.parent.mkdir(exist_ok=True, parents=True) + metadata = build_metadata(root, args.sources) + json.dump(metadata, open(metadata_file, "w")) + if distrib.world_size > 1: + distributed.barrier() + metadata = json.load(open(metadata_file)) + + valid_tracks = _get_musdb_valid() + if args.train_valid: + metadata_train = metadata + else: + metadata_train = {name: meta for name, meta in metadata.items() if name not in valid_tracks} + metadata_valid = {name: meta for name, meta in metadata.items() if name in valid_tracks} + if args.full_cv: + kw_cv = {} + else: + kw_cv = {'segment': args.segment, 'shift': args.shift} + train_set = Wavset(root, metadata_train, args.sources, + segment=args.segment, shift=args.shift, + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize) + valid_set = Wavset(root, metadata_valid, [MIXTURE] + list(args.sources), + samplerate=args.samplerate, channels=args.channels, + normalize=args.normalize, **kw_cv) + return train_set, valid_set diff --git a/ext/py/demucs/demucs/wdemucs.py b/ext/py/demucs/demucs/wdemucs.py new file mode 100644 index 0000000..03d6dd3 --- /dev/null +++ b/ext/py/demucs/demucs/wdemucs.py @@ -0,0 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# For compat +from .hdemucs import HDemucs + +WDemucs = HDemucs diff --git a/ext/py/demucs/environment-cpu.yml b/ext/py/demucs/environment-cpu.yml new file mode 100644 index 0000000..2419bf3 --- /dev/null +++ b/ext/py/demucs/environment-cpu.yml @@ -0,0 +1,28 @@ +name: demucs + +channels: + - pytorch + - conda-forge + +dependencies: + - python>=3.8,<3.10 + - ffmpeg>=4.2 + - pytorch>=1.8.1 + - torchaudio>=0.8 + - tqdm>=4.36 + - pip + - pip: + - diffq>=0.2 + - dora-search + - einops + - hydra-colorlog>=1.1 + - hydra-core>=1.1 + - julius>=0.2.3 + - lameenc>=1.2 + - openunmix + - musdb>=0.4.0 + - museval>=0.4.0 + - soundfile + - submitit + - treetable>=0.2.3 + diff --git a/ext/py/demucs/environment-cuda.yml b/ext/py/demucs/environment-cuda.yml new file mode 100644 index 0000000..0d61d33 --- /dev/null +++ b/ext/py/demucs/environment-cuda.yml @@ -0,0 +1,28 @@ +name: demucs + +channels: + - pytorch + - conda-forge + +dependencies: + - python>=3.8,<3.10 + - ffmpeg>=4.2 + - pytorch>=1.8.1 + - torchaudio>=0.8 + - cudatoolkit>=10 + - tqdm>=4.36 + - pip + - pip: + - diffq>=0.2 + - dora-search + - einops + - hydra-colorlog>=1.1 + - hydra-core>=1.1 + - julius>=0.2.3 + - lameenc>=1.2 + - openunmix + - musdb>=0.4.0 + - museval>=0.4.0 + - soundfile + - submitit + - treetable>=0.2.3 diff --git a/ext/py/demucs/hubconf.py b/ext/py/demucs/hubconf.py new file mode 100644 index 0000000..0cdb553 --- /dev/null +++ b/ext/py/demucs/hubconf.py @@ -0,0 +1,11 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +dependencies = ['dora-search', 'julius', 'lameenc', 'openunmix', 'pyyaml', + 'torch', 'torchaudio', 'tqdm'] + +from demucs.pretrained import get_model + diff --git a/ext/py/demucs/mypy.ini b/ext/py/demucs/mypy.ini new file mode 100644 index 0000000..c4e17f1 --- /dev/null +++ b/ext/py/demucs/mypy.ini @@ -0,0 +1,5 @@ +[mypy] + +[mypy-treetable,torchaudio.*,diffq,yaml,tqdm,lameenc,musdb,museval,openunmix.*,einops,xformers.*] +ignore_missing_imports = True + diff --git a/ext/py/demucs/repo.txt b/ext/py/demucs/repo.txt new file mode 100644 index 0000000..2609f70 --- /dev/null +++ b/ext/py/demucs/repo.txt @@ -0,0 +1 @@ +https://github.com/adefossez/demucs.git \ No newline at end of file diff --git a/ext/py/demucs/requirements.txt b/ext/py/demucs/requirements.txt new file mode 100644 index 0000000..d370f6b --- /dev/null +++ b/ext/py/demucs/requirements.txt @@ -0,0 +1,19 @@ +# please make sure you have already a pytorch install that is cuda enabled! +dora-search +diffq +einops +flake8 +hydra-colorlog +hydra-core +julius +lameenc +museval +mypy +openunmix +pyyaml +submitit +torch +torchaudio +tqdm +treetable +soundfile \ No newline at end of file diff --git a/ext/py/demucs/requirements_minimal.txt b/ext/py/demucs/requirements_minimal.txt new file mode 100644 index 0000000..aea448d --- /dev/null +++ b/ext/py/demucs/requirements_minimal.txt @@ -0,0 +1,10 @@ +# please make sure you have already a pytorch install that is cuda enabled! +dora-search +einops +julius +lameenc +openunmix +pyyaml +torch +torchaudio +tqdm diff --git a/ext/py/demucs/setup.cfg b/ext/py/demucs/setup.cfg new file mode 100644 index 0000000..d54d56a --- /dev/null +++ b/ext/py/demucs/setup.cfg @@ -0,0 +1,8 @@ +[pep8] +max-line-length = 100 + +[flake8] +max-line-length = 100 + +[yapf] +column_limit = 100 diff --git a/ext/py/demucs/setup.py b/ext/py/demucs/setup.py new file mode 100644 index 0000000..47163d7 --- /dev/null +++ b/ext/py/demucs/setup.py @@ -0,0 +1,75 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# author: adefossez +# Inspired from https://github.com/kennethreitz/setup.py + +from pathlib import Path + +from setuptools import setup + + +NAME = 'demucs' +DESCRIPTION = 'Music source separation in the waveform domain.' + +URL = 'https://github.com/facebookresearch/demucs' +EMAIL = 'defossez@fb.com' +AUTHOR = 'Alexandre Défossez' +REQUIRES_PYTHON = '>=3.8.0' + +HERE = Path(__file__).parent + +# Get version without explicitely loading the module. +for line in open('demucs/__init__.py'): + line = line.strip() + if '__version__' in line: + context = {} + exec(line, context) + VERSION = context['__version__'] + + +def load_requirements(name): + required = [i.strip() for i in open(HERE / name)] + required = [i for i in required if not i.startswith('#')] + return required + + +REQUIRED = load_requirements('requirements_minimal.txt') +ALL_REQUIRED = load_requirements('requirements.txt') + +try: + with open(HERE / "README.md", encoding='utf-8') as f: + long_description = '\n' + f.read() +except FileNotFoundError: + long_description = DESCRIPTION + +setup( + name=NAME, + version=VERSION, + description=DESCRIPTION, + long_description=long_description, + long_description_content_type='text/markdown', + author=AUTHOR, + author_email=EMAIL, + python_requires=REQUIRES_PYTHON, + url=URL, + packages=['demucs'], + extras_require={ + 'dev': ALL_REQUIRED, + }, + install_requires=REQUIRED, + include_package_data=True, + entry_points={ + 'console_scripts': ['demucs=demucs.separate:main'], + }, + license='MIT License', + classifiers=[ + # Trove classifiers + # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers + 'License :: OSI Approved :: MIT License', + 'Topic :: Multimedia :: Sound/Audio', + 'Topic :: Scientific/Engineering :: Artificial Intelligence', + ], +) diff --git a/ext/py/demucs/tools/__init__.py b/ext/py/demucs/tools/__init__.py new file mode 100644 index 0000000..0952fcc --- /dev/null +++ b/ext/py/demucs/tools/__init__.py @@ -0,0 +1,5 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. diff --git a/ext/py/demucs/tools/automix.py b/ext/py/demucs/tools/automix.py new file mode 100644 index 0000000..a839345 --- /dev/null +++ b/ext/py/demucs/tools/automix.py @@ -0,0 +1,343 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +""" +This script creates realistic mixes with stems from different songs. +In particular, it will align BPM, sync up the first beat and perform pitch +shift to maximize pitches overlap. +In order to limit artifacts, only parts that can be mixed with less than 15% +tempo shift, and 3 semitones of pitch shift are mixed together. +""" +from collections import namedtuple +from concurrent.futures import ProcessPoolExecutor +import hashlib +from pathlib import Path +import random +import shutil +import tqdm +import pickle + +from librosa.beat import beat_track +from librosa.feature import chroma_cqt +import numpy as np +import torch +from torch.nn import functional as F + +from dora.utils import try_load +from demucs.audio import save_audio +from demucs.repitch import repitch +from demucs.pretrained import SOURCES +from demucs.wav import build_metadata, Wavset, _get_musdb_valid + + +MUSDB_PATH = '/checkpoint/defossez/datasets/musdbhq' +EXTRA_WAV_PATH = "/checkpoint/defossez/datasets/allstems_44" +# WARNING: OUTPATH will be completely erased. +OUTPATH = Path.home() / 'tmp/demucs_mdx/automix_musdb/' +CACHE = Path.home() / 'tmp/automix_cache' # cache BPM and pitch information. +CHANNELS = 2 +SR = 44100 +MAX_PITCH = 3 # maximum allowable pitch shift in semi tones +MAX_TEMPO = 0.15 # maximum allowable tempo shift + + +Spec = namedtuple("Spec", "tempo onsets kr track index") + + +def rms(wav, window=10000): + """efficient rms computed for each time step over a given window.""" + half = window // 2 + window = 2 * half + 1 + wav = F.pad(wav, (half, half)) + tot = wav.pow(2).cumsum(dim=-1) + return ((tot[..., window - 1:] - tot[..., :-window + 1]) / window).sqrt() + + +def analyse_track(dset, index): + """analyse track, extract bpm and distribution of notes from the bass line.""" + track = dset[index] + mix = track.sum(0).mean(0) + ref = mix.std() + + starts = (abs(mix) >= 1e-2 * ref).float().argmax().item() + track = track[..., starts:] + + cache = CACHE / dset.sig + cache.mkdir(exist_ok=True, parents=True) + + cache_file = cache / f"{index}.pkl" + cached = None + if cache_file.exists(): + cached = try_load(cache_file) + if cached is not None: + tempo, events, hist_kr = cached + + if cached is None: + drums = track[0].mean(0) + if drums.std() > 1e-2 * ref: + tempo, events = beat_track(y=drums.numpy(), units='time', sr=SR) + else: + print("failed drums", drums.std(), ref) + return None, track + + bass = track[1].mean(0) + r = rms(bass) + peak = r.max() + mask = r >= 0.05 * peak + bass = bass[mask] + if bass.std() > 1e-2 * ref: + kr = torch.from_numpy(chroma_cqt(y=bass.numpy(), sr=SR)) + hist_kr = (kr.max(dim=0, keepdim=True)[0] == kr).float().mean(1) + else: + print("failed bass", bass.std(), ref) + return None, track + + pickle.dump([tempo, events, hist_kr], open(cache_file, 'wb')) + spec = Spec(tempo, events, hist_kr, track, index) + return spec, None + + +def best_pitch_shift(kr_a, kr_b): + """find the best pitch shift between two chroma distributions.""" + deltas = [] + for p in range(12): + deltas.append((kr_a - kr_b).abs().mean()) + kr_b = kr_b.roll(1, 0) + + ps = np.argmin(deltas) + if ps > 6: + ps = ps - 12 + return ps + + +def align_stems(stems): + """Align the first beats of the stems. + This is a naive implementation. A grid with a time definition 10ms is defined and + each beat onset is represented as a gaussian over this grid. + Then, we try each possible time shift to make two grids align the best. + We repeat for all sources. + """ + sources = len(stems) + width = 5e-3 # grid of 10ms + limit = 5 + std = 2 + x = torch.arange(-limit, limit + 1, 1).float() + gauss = torch.exp(-x**2 / (2 * std**2)) + + grids = [] + for wav, onsets in stems: + le = wav.shape[-1] + dur = le / SR + grid = torch.zeros(int(le / width / SR)) + for onset in onsets: + pos = int(onset / width) + if onset >= dur - 1: + continue + if onset < 1: + continue + grid[pos - limit:pos + limit + 1] += gauss + grids.append(grid) + + shifts = [0] + for s in range(1, sources): + max_shift = int(4 / width) + dots = [] + for shift in range(-max_shift, max_shift): + other = grids[s] + ref = grids[0] + if shift >= 0: + other = other[shift:] + else: + ref = ref[shift:] + le = min(len(other), len(ref)) + dots.append((ref[:le].dot(other[:le]), int(shift * width * SR))) + + _, shift = max(dots) + shifts.append(-shift) + + outs = [] + new_zero = min(shifts) + for (wav, _), shift in zip(stems, shifts): + offset = shift - new_zero + wav = F.pad(wav, (offset, 0)) + outs.append(wav) + + le = min(x.shape[-1] for x in outs) + + outs = [w[..., :le] for w in outs] + return torch.stack(outs) + + +def find_candidate(spec_ref, catalog, pitch_match=True): + """Given reference track, this finds a track in the catalog that + is a potential match (pitch and tempo delta must be within the allowable limits). + """ + candidates = list(catalog) + random.shuffle(candidates) + + for spec in candidates: + ok = False + for scale in [1/4, 1/2, 1, 2, 4]: + tempo = spec.tempo * scale + delta_tempo = spec_ref.tempo / tempo - 1 + if abs(delta_tempo) < MAX_TEMPO: + ok = True + break + if not ok: + print(delta_tempo, spec_ref.tempo, spec.tempo, "FAILED TEMPO") + # too much of a tempo difference + continue + spec = spec._replace(tempo=tempo) + + ps = 0 + if pitch_match: + ps = best_pitch_shift(spec_ref.kr, spec.kr) + if abs(ps) > MAX_PITCH: + print("Failed pitch", ps) + # too much pitch difference + continue + return spec, delta_tempo, ps + + +def get_part(spec, source, dt, dp): + """Apply given delta of tempo and delta of pitch to a stem.""" + wav = spec.track[source] + if dt or dp: + wav = repitch(wav, dp, dt * 100, samplerate=SR, voice=source == 3) + spec = spec._replace(onsets=spec.onsets / (1 + dt)) + return wav, spec + + +def build_track(ref_index, catalog): + """Given the reference track index and a catalog of track, builds + a completely new track. One of the source at random from the ref track will + be kept and other sources will be drawn from the catalog. + """ + order = list(range(len(SOURCES))) + random.shuffle(order) + + stems = [None] * len(order) + indexes = [None] * len(order) + origs = [None] * len(order) + dps = [None] * len(order) + dts = [None] * len(order) + + first = order[0] + spec_ref = catalog[ref_index] + stems[first] = (spec_ref.track[first], spec_ref.onsets) + indexes[first] = ref_index + origs[first] = spec_ref.track[first] + dps[first] = 0 + dts[first] = 0 + + pitch_match = order != 0 + + for src in order[1:]: + spec, dt, dp = find_candidate(spec_ref, catalog, pitch_match=pitch_match) + if not pitch_match: + spec_ref = spec_ref._replace(kr=spec.kr) + pitch_match = True + dps[src] = dp + dts[src] = dt + wav, spec = get_part(spec, src, dt, dp) + stems[src] = (wav, spec.onsets) + indexes[src] = spec.index + origs.append(spec.track[src]) + print("FINAL CHOICES", ref_index, indexes, dps, dts) + stems = align_stems(stems) + return stems, origs + + +def get_musdb_dataset(part='train'): + root = Path(MUSDB_PATH) / part + ext = '.wav' + metadata = build_metadata(root, SOURCES, ext=ext, normalize=False) + valid_tracks = _get_musdb_valid() + metadata_train = {name: meta for name, meta in metadata.items() if name not in valid_tracks} + train_set = Wavset( + root, metadata_train, SOURCES, samplerate=SR, channels=CHANNELS, + normalize=False, ext=ext) + sig = hashlib.sha1(str(root).encode()).hexdigest()[:8] + train_set.sig = sig + return train_set + + +def get_wav_dataset(): + root = Path(EXTRA_WAV_PATH) + ext = '.wav' + metadata = _build_metadata(root, SOURCES, ext=ext, normalize=False) + train_set = Wavset( + root, metadata, SOURCES, samplerate=SR, channels=CHANNELS, + normalize=False, ext=ext) + sig = hashlib.sha1(str(root).encode()).hexdigest()[:8] + train_set.sig = sig + return train_set + + +def main(): + random.seed(4321) + if OUTPATH.exists(): + shutil.rmtree(OUTPATH) + OUTPATH.mkdir(exist_ok=True, parents=True) + (OUTPATH / 'train').mkdir(exist_ok=True, parents=True) + (OUTPATH / 'valid').mkdir(exist_ok=True, parents=True) + out = OUTPATH / 'train' + + dset = get_musdb_dataset() + # dset2 = get_wav_dataset() + # dset3 = get_musdb_dataset('test') + dset2 = None + dset3 = None + pendings = [] + copies = 6 + copies_rej = 2 + + with ProcessPoolExecutor(20) as pool: + for index in range(len(dset)): + pendings.append(pool.submit(analyse_track, dset, index)) + + if dset2: + for index in range(len(dset2)): + pendings.append(pool.submit(analyse_track, dset2, index)) + if dset3: + for index in range(len(dset3)): + pendings.append(pool.submit(analyse_track, dset3, index)) + + catalog = [] + rej = 0 + for pending in tqdm.tqdm(pendings, ncols=120): + spec, track = pending.result() + if spec is not None: + catalog.append(spec) + else: + mix = track.sum(0) + for copy in range(copies_rej): + folder = out / f'rej_{rej}_{copy}' + folder.mkdir() + save_audio(mix, folder / "mixture.wav", SR) + for stem, source in zip(track, SOURCES): + save_audio(stem, folder / f"{source}.wav", SR, clip='clamp') + rej += 1 + + for copy in range(copies): + for index in range(len(catalog)): + track, origs = build_track(index, catalog) + mix = track.sum(0) + mx = mix.abs().max() + scale = max(1, 1.01 * mx) + mix = mix / scale + track = track / scale + folder = out / f'{copy}_{index}' + folder.mkdir() + save_audio(mix, folder / "mixture.wav", SR) + for stem, source, orig in zip(track, SOURCES, origs): + save_audio(stem, folder / f"{source}.wav", SR, clip='clamp') + # save_audio(stem.std() * orig / (1e-6 + orig.std()), folder / f"{source}_orig.wav", + # SR, clip='clamp') + + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/tools/bench.py b/ext/py/demucs/tools/bench.py new file mode 100644 index 0000000..762a7c3 --- /dev/null +++ b/ext/py/demucs/tools/bench.py @@ -0,0 +1,78 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +""" +benchmarking script, useful to check for OOM, reasonable train time, +and for the MDX competion, estimate if we will match the time limit.""" +from contextlib import contextmanager +import logging +import sys +import time +import torch + +from demucs.train import get_solver, main +from demucs.apply import apply_model + +logging.basicConfig(level=logging.INFO, stream=sys.stderr) + + +class Result: + pass + + +@contextmanager +def bench(): + import gc + gc.collect() + torch.cuda.reset_max_memory_allocated() + torch.cuda.empty_cache() + result = Result() + # before = torch.cuda.memory_allocated() + before = 0 + begin = time.time() + try: + yield result + finally: + torch.cuda.synchronize() + mem = (torch.cuda.max_memory_allocated() - before) / 2 ** 20 + tim = time.time() - begin + result.mem = mem + result.tim = tim + + +xp = main.get_xp_from_sig(sys.argv[1]) +xp = main.get_xp(xp.argv + sys.argv[2:]) +with xp.enter(): + solver = get_solver(xp.cfg) + if getattr(solver.model, 'use_train_segment', False): + batch = solver.augment(next(iter(solver.loaders['train']))) + solver.model.segment = Fraction(batch.shape[-1], solver.model.samplerate) + train_segment = solver.model.segment + solver.model.eval() + model = solver.model + model.cuda() + x = torch.randn(2, xp.cfg.dset.channels, int(10 * model.samplerate), device='cuda') + with bench() as res: + y = model(x) + y.sum().backward() + del y + for p in model.parameters(): + p.grad = None + print(f"FB: {res.mem:.1f} MB, {res.tim * 1000:.1f} ms") + + x = torch.randn(1, xp.cfg.dset.channels, int(model.segment * model.samplerate), device='cuda') + with bench() as res: + with torch.no_grad(): + y = model(x) + del y + print(f"FV: {res.mem:.1f} MB, {res.tim * 1000:.1f} ms") + + model.cpu() + torch.set_num_threads(1) + test = torch.randn(1, xp.cfg.dset.channels, model.samplerate * 40) + b = time.time() + apply_model(model, test, split=True, shifts=1) + print("CPU 40 sec:", time.time() - b) diff --git a/ext/py/demucs/tools/convert.py b/ext/py/demucs/tools/convert.py new file mode 100644 index 0000000..dfc022f --- /dev/null +++ b/ext/py/demucs/tools/convert.py @@ -0,0 +1,152 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# Script to convert option names and model args from the dev branch to +# the cleanup release one. There should be no reaso to use that anymore. + +import argparse +import io +import json +from pathlib import Path +import subprocess as sp + +import torch + +from demucs import train, pretrained, states + +DEV_REPO = Path.home() / 'tmp/release_demucs_mdx' + + +TO_REMOVE = [ + 'demucs.dconv_kw.gelu=True', + 'demucs.dconv_kw.nfreqs=0', + 'demucs.dconv_kw.nfreqs=0', + 'demucs.dconv_kw.version=4', + 'demucs.norm=gn', + 'wdemucs.nice=True', + 'wdemucs.good=True', + 'wdemucs.freq_emb=-0.2', + 'special=True', + 'special=False', +] + +TO_REPLACE = [ + ('power', 'svd'), + ('wdemucs', 'hdemucs'), + ('hdemucs.hybrid=True', 'hdemucs.hybrid_old=True'), + ('hdemucs.hybrid=2', 'hdemucs.hybrid=True'), +] + +TO_INJECT = [ + ('model=hdemucs', ['hdemucs.cac=False']), + ('model=hdemucs', ['hdemucs.norm_starts=999']), +] + + +def get_original_argv(sig): + return json.load(open(Path(DEV_REPO) / f'outputs/xps/{sig}/.argv.json')) + + +def transform(argv, mappings, verbose=False): + for rm in TO_REMOVE: + while rm in argv: + argv.remove(rm) + + for old, new in TO_REPLACE: + argv[:] = [a.replace(old, new) for a in argv] + + for condition, args in TO_INJECT: + if condition in argv: + argv[:] = args + argv + + for idx, arg in enumerate(argv): + if 'continue_from=' in arg: + dep_sig = arg.split('=')[1] + if dep_sig.startswith('"'): + dep_sig = eval(dep_sig) + if verbose: + print("Need to recursively convert dependency XP", dep_sig) + new_sig = convert(dep_sig, mappings, verbose).sig + argv[idx] = f'continue_from="{new_sig}"' + + +def convert(sig, mappings, verbose=False): + argv = get_original_argv(sig) + if verbose: + print("Original argv", argv) + transform(argv, mappings, verbose) + if verbose: + print("New argv", argv) + xp = train.main.get_xp(argv) + train.main.init_xp(xp) + if verbose: + print("Mapping", sig, "->", xp.sig) + mappings[sig] = xp.sig + return xp + + +def _eval_old(old_sig, x): + script = ( + 'from demucs import pretrained; import torch; import sys; import io; ' + 'buf = io.BytesIO(sys.stdin.buffer.read()); ' + 'x = torch.load(buf); m = pretrained.load_pretrained_model(' + f'"{old_sig}"); torch.save(m(x), sys.stdout.buffer)') + + buf = io.BytesIO() + torch.save(x, buf) + proc = sp.run( + ['python3', '-c', script], input=buf.getvalue(), capture_output=True, cwd=DEV_REPO) + if proc.returncode != 0: + print("Error", proc.stderr.decode()) + assert False + + buf = io.BytesIO(proc.stdout) + return torch.load(buf) + + +def compare(old_sig, model): + test = torch.randn(1, 2, 44100 * 10) + old_out = _eval_old(old_sig, test) + out = model(test) + + delta = 20 * torch.log10((out - old_out).norm() / out.norm()).item() + return delta + + +def main(): + torch.manual_seed(1234) + parser = argparse.ArgumentParser('convert') + parser.add_argument('sigs', nargs='*') + parser.add_argument('-o', '--output', type=Path, default=Path('release_models')) + parser.add_argument('-d', '--dump', action='store_true') + parser.add_argument('-c', '--compare', action='store_true') + parser.add_argument('-v', '--verbose', action='store_true') + args = parser.parse_args() + + args.output.mkdir(exist_ok=True, parents=True) + mappings = {} + for sig in args.sigs: + xp = convert(sig, mappings, args.verbose) + if args.dump or args.compare: + old_pkg = pretrained._load_package(sig, old=True) + model = train.get_model(xp.cfg) + model.load_state_dict(old_pkg['state']) + if args.dump: + pkg = states.serialize_model(model, xp.cfg) + states.save_with_checksum(pkg, args.output / f'{xp.sig}.th') + if args.compare: + delta = compare(sig, model) + print("Delta for", sig, xp.sig, delta) + + mappings[sig] = xp.sig + + print("FINAL MAPPINGS") + for old, new in mappings.items(): + print(old, " ", new) + + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/tools/export.py b/ext/py/demucs/tools/export.py new file mode 100644 index 0000000..1579585 --- /dev/null +++ b/ext/py/demucs/tools/export.py @@ -0,0 +1,71 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Export a trained model from the full checkpoint (with optimizer etc.) to +a final checkpoint, with only the model itself. The model is always stored as +half float to gain space, and because this has zero impact on the final loss. +When DiffQ was used for training, the model will actually be quantized and bitpacked.""" +from argparse import ArgumentParser +from fractions import Fraction +import logging +from pathlib import Path +import sys +import torch + +from demucs import train +from demucs.states import serialize_model, save_with_checksum + + +logger = logging.getLogger(__name__) + + +def main(): + logging.basicConfig(level=logging.INFO, stream=sys.stderr) + + parser = ArgumentParser("tools.export", description="Export trained models from XP sigs.") + parser.add_argument('signatures', nargs='*', help='XP signatures.') + parser.add_argument('-o', '--out', type=Path, default=Path("release_models"), + help="Path where to store release models (default release_models)") + parser.add_argument('-s', '--sign', action='store_true', + help='Add sha256 prefix checksum to the filename.') + + args = parser.parse_args() + args.out.mkdir(exist_ok=True, parents=True) + + for sig in args.signatures: + xp = train.main.get_xp_from_sig(sig) + name = train.main.get_name(xp) + logger.info('Handling %s/%s', sig, name) + + out_path = args.out / (sig + ".th") + + solver = train.get_solver_from_sig(sig) + if len(solver.history) < solver.args.epochs: + logger.warning( + 'Model %s has less epoch than expected (%d / %d)', + sig, len(solver.history), solver.args.epochs) + + solver.model.load_state_dict(solver.best_state) + pkg = serialize_model(solver.model, solver.args, solver.quantizer, half=True) + if getattr(solver.model, 'use_train_segment', False): + batch = solver.augment(next(iter(solver.loaders['train']))) + pkg['kwargs']['segment'] = Fraction(batch.shape[-1], solver.model.samplerate) + print("Override", pkg['kwargs']['segment']) + valid, test = None, None + for m in solver.history: + if 'valid' in m: + valid = m['valid'] + if 'test' in m: + test = m['test'] + pkg['metrics'] = (valid, test) + if args.sign: + save_with_checksum(pkg, out_path) + else: + torch.save(pkg, out_path) + + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/tools/test_pretrained.py b/ext/py/demucs/tools/test_pretrained.py new file mode 100644 index 0000000..fb80cf5 --- /dev/null +++ b/ext/py/demucs/tools/test_pretrained.py @@ -0,0 +1,43 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# Script to evaluate pretrained models. + +from argparse import ArgumentParser +import logging +import sys + +import torch + +from demucs import train, pretrained, evaluate + + +def main(): + torch.set_num_threads(1) + logging.basicConfig(stream=sys.stderr, level=logging.INFO) + parser = ArgumentParser("tools.test_pretrained", + description="Evaluate pre-trained models or bags of models " + "on MusDB.") + pretrained.add_model_flags(parser) + parser.add_argument('overrides', nargs='*', + help='Extra overrides, e.g. test.shifts=2.') + args = parser.parse_args() + + xp = train.main.get_xp(args.overrides) + with xp.enter(): + solver = train.get_solver(xp.cfg) + + model = pretrained.get_model_from_args(args) + solver.model = model.to(solver.device) + solver.model.eval() + + with torch.no_grad(): + results = evaluate.evaluate(solver, xp.cfg.test.sdr) + print(results) + + +if __name__ == '__main__': + main() diff --git a/ext/py/demucs/version.txt b/ext/py/demucs/version.txt new file mode 100644 index 0000000..99eba4d --- /dev/null +++ b/ext/py/demucs/version.txt @@ -0,0 +1 @@ +4.1.0 \ No newline at end of file diff --git a/ext/py/num2words/.coveragerc b/ext/py/num2words/.coveragerc new file mode 100644 index 0000000..6d88b72 --- /dev/null +++ b/ext/py/num2words/.coveragerc @@ -0,0 +1,5 @@ +[run] +branch = true +source = + num2words + tests diff --git a/ext/py/num2words/CHANGES.rst b/ext/py/num2words/CHANGES.rst new file mode 100644 index 0000000..a6a4f18 --- /dev/null +++ b/ext/py/num2words/CHANGES.rst @@ -0,0 +1,203 @@ +Changelog +========= + +Version 0.5.14 -- 2024/12/16 +---------------------------- + +* Fixed a typo in PL (#466) +* Run tests against Python 3.12 (#544) +* ADD num2words: es_CR language (#565) +* New languages: Welsh (Celtic) and Chechen (Nakho-Dagestanian) (#543) +* Add catalan language support (#581) +* Adding Tetum Language (#576) +* FIX ISO code for Belarusian language is be, not by. (#574) +* Add test to improve coverage (#595) +* Added Bangla language support to num2word for Bangladesh. (#589) +* Czech language ISO 639-1 code fix (#587) +* Added support for Tunisian Dinar (#593) +* Change danish language code to DA (#596) + + +Version 0.5.13 -- 2023/10/18 +--------------------------- + +* Fix a problem in Brazilian Portuguese code referred to thousands when the hundreds are exact. (#421) +* Fix issue with the hundreds of millions, billions, ... when the hundreds of those are exact. (#436) +* Fix negative number problem (#477) +* Fix lang_DK issues (#366) +* Norwegian uplift (#484) +* BYN to EU and RU (#439) +* Change python3.6 to python3.11 because deprecation in ubuntu 22.04 (#494) +* Add support for Azerbaijani language (#495) +* Add Icelandic (#380) +* Hebrew long-form spelling, gender, ordinals, fractions, maxval=1e66, construct forms (#490) +* Fix 15, 16, 17, 18, 19 issue (#505) +* Added support for the Nigerian Naira (#507) +* Fix several issues with num2words in Arabic (#512) +* Guatemalan currency support (#510) +* Fix #508: Handle string inputs in Italian to_ordinal (#518) +* Add Slovak language support (#533) +* Add gender and morphological cases support for Ukrainian (#530) +* Adding genders for Russian language (#503) +* Lang By Added (#506) +* Add Saudi Riyal to english (#531) + +Version 0.5.12 -- 2022/08/19 +---------------------------- + +* Support Japanese Reiwa (令和/れいわ) era. (#412) +* Add basic farsi support (#354) +* Added Tajik language support (#406) +* Fix Amharic language support (#465) +* Fix Hebrew pluralize and implement to_currency (#330) +* Add support to translate some currencies in italian language (#434) +* Fix Polish twenties (#345) +* Add uzs for ru and en (#422) +* Added support for Esperanto numbers. (#387) +* [ADD] to ordinal number for Turkish (#468) +* Fix zeroth in Dutch to nulde fixing (#326) + +Version 0.5.11 -- 2022/08/03 +---------------------------- + +* Add KZT and UAH currencies to lang RU (#264) +* Add es_NI currency (#276) +* Update .gitignore to add .eggs/ directory (#280) +* Fix Hebrew support (#289) +* Update test_tr.py to increase coverage (#298) +* Add ordinal 12,345 to ES test suite to increase coverage (#287) +* Add simple tests for lang_DK.py (#286) +* Add testcase for lang_EN.py (#288) +* Add more tests to base.py (#283) +* Fixed misspelling of 21 (cardinal and ordinal number) in IT language (#270) +* Romanian issues 259 (#260) +* Adding Language Support for Telugu / Bug Fix in Kannada (#263) +* Add support of Kazakh language (KZ) (#306) +* Update README.rst (#307) +* Added support for Hungarian language (#310) +* [UPD] Readme file (#363) +* [ADD] num2words: add traslation to spanish of several currencies (#356) +* added swedish language including test cases (#352) +* Remove dupplicated line in lang_PT_BR (#355) +* Fix ordinal_num output for Dutch (NL) (#369) +* Polishordinals (#367) +* [tr] return Turkish 0 ordinal and cardinal (#347) +* Improve Ukrainian support and minor fixes in CZ, KZ, LT, LV, PL, RU, SR languages (#400) +* feat: ci: replace travis by github workflows (#448) +* [ES] Added missing accents ("dieciséis", "dólar", "dólares", "veintiún"), improved currency gender handling, fixed pound cent names (#443) + +Version 0.5.10 -- 2019/05/12 +---------------------------- + +* Add Kannada language localization (#243) +* Revert some copyrights changed by mistake (#254) +* Add indian rupee to the supported currencies (#248) +* Improve currency functions for German and French (#247) +* Improve Slovene localization (#246) +* Improve Spanish localization (#240) +* Fix typo 'seperator' on source code (#238) +* Convert string to decimal values (#223) +* Improve German localization and test coverage (#237) +* Improve Polish localization (#233) +* Fix ordinal number for French ending on 1 (#236) + +Version 0.5.9 -- 2019/01/10 +--------------------------- + +* Fix encoding issue on release 0.5.8 (#229) +* Improve Polish localization (#228) + + +Version 0.5.8 -- 2018/11/17 +--------------------------- + +* Add Portuguese (Portugal) localization (#198) +* Add a command line tool to use num2words +* Use language iso code for Vietnamese +* Improve Korean localization (#219) +* Improve Serbian (Latin) localization (#207) +* Improve testing setup (#220) +* Improve German localization (#214) (#222) +* Improve Romanian localization (#215) +* Improve Spanish localization (#187) (#200) +* Improve Russian localization (#211) (#212) +* Improve French localization (23902ab) +* Improve Arabic localization (#176) +* Improve Lithuanian and Latvian localization (#185) +* Improve Ukrainian localization (#183) + + +Version 0.5.7 -- 2018/06/27 +--------------------------- + +* Add Finnish localization. (#170) +* Add Japanese localization. (#171) +* Add belgian-french localization. (#151) +* Add Czech localization. (#154) +* Add Thai localization. (#139) +* Improve English localization. (#144) +* Improve Spanish localization. (#167) +* Improve Italian localization. (#143) +* Improve documentation. (#155, #145, #174) + +Version 0.5.6 -- 2017/11/22 +--------------------------- + +* Refactor to_currency (#135) +* Allow the use of other convertes to_currency, to_year (#95) +* Fix code to respect PEP8 (#98, #105) +* Add Slovene localization (#97) +* Add Ukrainian localization (#93) +* Add Dutch localization (#91) +* Add Algeria-French localization (#86) +* Add Turkish localization (#85) + +Version 0.5.5 -- 2017/07/02 +--------------------------- + +* Add Arabic localization (#72) +* Add Spanish-Colombian and Spanish-Venezuelan localization (#67) +* Add VietNam localization (#61) +* Add Italian localization (#56, #59) +* Improve Russian localization (#62) +* Improve Polish localization (#58) + +Version 0.5.4 -- 2016/10/18 +--------------------------- + +* Tons of new languages! +* Add Polish localization. (#23) +* Add Swiss-French localization. (#38) +* Add Russian localization. (#28, #46, #48) +* Add Indonesian localization. (#29) +* Add Norwegian localization. (#33) +* Add Danish localization. (#40) +* Add Brazilian localization. (#37, #47) +* Improve German localization. (#25, #27, #49) +* Improve Lithuanian localization. (#52) +* Improve floating point spelling. (#24) + +Version 0.5.3 -- 2015/06/09 +--------------------------- + +* Fix packaging issues. (#21, #22) + +Version 0.5.2 -- 2015/01/23 +--------------------------- + +* Added Latvian localization. (#9) +* Improved Spanish localization. (#10, #13, #14) +* Improved Lithuanian localization. (#12) + +Version 0.5.1 -- 2014/03/14 +--------------------------- + +* Added Python 3 support with 2to3. (#3) +* Fixed big numbers in spanish. (#2) +* Fixed bugs in tanslation from 30 to 40 in spanish. (#4) +* Fixed word joining in english. (#8) + +Version 0.5.0 -- 2013/05/28 +--------------------------- + +* Created ``num2words`` based on the old ``pynum2word`` project. \ No newline at end of file diff --git a/ext/py/num2words/README.rst b/ext/py/num2words/README.rst new file mode 100644 index 0000000..28bd497 --- /dev/null +++ b/ext/py/num2words/README.rst @@ -0,0 +1,173 @@ +num2words library - Convert numbers to words in multiple languages +================================================================== + +.. image:: https://img.shields.io/pypi/v/num2words.svg + :target: https://pypi.python.org/pypi/num2words + +.. image:: https://travis-ci.org/savoirfairelinux/num2words.svg?branch=master + :target: https://travis-ci.org/savoirfairelinux/num2words + +.. image:: https://coveralls.io/repos/github/savoirfairelinux/num2words/badge.svg?branch=master + :target: https://coveralls.io/github/savoirfairelinux/num2words?branch=master + + +``num2words`` is a library that converts numbers like ``42`` to words like ``forty-two``. +It supports multiple languages (see the list below for full list +of languages) and can even generate ordinal numbers like ``forty-second`` +(although this last feature is a bit buggy for some languages at the moment). + +The project is hosted on GitHub_. Contributions are welcome. + +.. _GitHub: https://github.com/savoirfairelinux/num2words + +Installation +------------ + +The easiest way to install ``num2words`` is to use pip:: + + pip install num2words + +Otherwise, you can download the source package and then execute:: + + python setup.py install + +The test suite in this library is new, so it's rather thin, but it can be run with:: + + python setup.py test + +To run the full CI test suite which includes linting and multiple python environments:: + + pip install tox + tox + +Usage +----- +Command line:: + + $ num2words 10001 + ten thousand and one + $ num2words 24,120.10 + twenty-four thousand, one hundred and twenty point one + $ num2words 24,120.10 -l es + veinticuatro mil ciento veinte punto uno + $num2words 2.14 -l es --to currency + dos euros con catorce céntimos + +In code there's only one function to use:: + + >>> from num2words import num2words + >>> num2words(42) + forty-two + >>> num2words(42, to='ordinal') + forty-second + >>> num2words(42, lang='fr') + quarante-deux + +Besides the numerical argument, there are two main optional arguments, ``to:`` and ``lang:`` + +**to:** The converter to use. Supported values are: + +* ``cardinal`` (default) +* ``ordinal`` +* ``ordinal_num`` +* ``year`` +* ``currency`` + +**lang:** The language in which to convert the number. Supported values are: + +* ``en`` (English, default) +* ``am`` (Amharic) +* ``ar`` (Arabic) +* ``az`` (Azerbaijani) +* ``be`` (Belarusian) +* ``bn`` (Bangladeshi) +* ``ca`` (Catalan) +* ``ce`` (Chechen) +* ``cs`` (Czech) +* ``cy`` (Welsh) +* ``da`` (Danish) +* ``de`` (German) +* ``en_GB`` (English - Great Britain) +* ``en_IN`` (English - India) +* ``en_NG`` (English - Nigeria) +* ``es`` (Spanish) +* ``es_CO`` (Spanish - Colombia) +* ``es_CR`` (Spanish - Costa Rica) +* ``es_GT`` (Spanish - Guatemala) +* ``es_VE`` (Spanish - Venezuela) +* ``eu`` (EURO) +* ``fa`` (Farsi) +* ``fi`` (Finnish) +* ``fr`` (French) +* ``fr_BE`` (French - Belgium) +* ``fr_CH`` (French - Switzerland) +* ``fr_DZ`` (French - Algeria) +* ``he`` (Hebrew) +* ``hi`` (Hindi) +* ``hu`` (Hungarian) +* ``hy`` (Armenian) +* ``id`` (Indonesian) +* ``is`` (Icelandic) +* ``it`` (Italian) +* ``ja`` (Japanese) +* ``kn`` (Kannada) +* ``ko`` (Korean) +* ``kz`` (Kazakh) +* ``mn`` (Mongolian) +* ``lt`` (Lithuanian) +* ``lv`` (Latvian) +* ``nl`` (Dutch) +* ``no`` (Norwegian) +* ``pl`` (Polish) +* ``pt`` (Portuguese) +* ``pt_BR`` (Portuguese - Brazilian) +* ``ro`` (Romanian) +* ``ru`` (Russian) +* ``sl`` (Slovene) +* ``sk`` (Slovak) +* ``sr`` (Serbian) +* ``sv`` (Swedish) +* ``te`` (Telugu) +* ``tet`` (Tetum) +* ``tg`` (Tajik) +* ``tr`` (Turkish) +* ``th`` (Thai) +* ``uk`` (Ukrainian) +* ``vi`` (Vietnamese) +* ``zh`` (Chinese - Traditional) +* ``zh_CN`` (Chinese - Simplified / Mainland China) +* ``zh_TW`` (Chinese - Traditional / Taiwan) +* ``zh_HK`` (Chinese - Traditional / Hong Kong) + +You can supply values like ``fr_FR``; if the country doesn't exist but the +language does, the code will fall back to the base language (i.e. ``fr``). If +you supply an unsupported language, ``NotImplementedError`` is raised. +Therefore, if you want to call ``num2words`` with a fallback, you can do:: + + try: + return num2words(42, lang=mylang) + except NotImplementedError: + return num2words(42, lang='en') + +Additionally, some converters and languages support other optional arguments +that are needed to make the converter useful in practice. + +Wiki +---- +For additional information on some localization please check the Wiki_. +And feel free to propose wiki enhancement. + +.. _Wiki: https://github.com/savoirfairelinux/num2words/wiki + +History +------- + +``num2words`` is based on an old library, ``pynum2word``, created by Taro Ogawa +in 2003. Unfortunately, the library stopped being maintained and the author +can't be reached. There was another developer, Marius Grigaitis, who in 2011 +added Lithuanian support, but didn't take over maintenance of the project. + +I am thus basing myself on Marius Grigaitis' improvements and re-publishing +``pynum2word`` as ``num2words``. + +Virgil Dupras, Savoir-faire Linux \ No newline at end of file diff --git a/ext/py/num2words/bin/num2words b/ext/py/num2words/bin/num2words new file mode 100644 index 0000000..c6dbd52 --- /dev/null +++ b/ext/py/num2words/bin/num2words @@ -0,0 +1,95 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +"""num2words: convert numbers into words. + +Usage: + num2words [options] + num2words --list-languages + num2words --list-converters + num2words --help + +Arguments: + Number you want to convert into words + +Options: + -L --list-languages Show all languages. + -C --list-converters Show all converters. + -l --lang= Output language [default: en]. + -t --to= Output converter [default: cardinal]. + -h --help Show this message. + -v --version Show version. + +Examples: + $ num2words 10001 + ten thousand and one + + $ num2words 24,120.10 + twenty-four thousand, one hundred and twenty point one + + $ num2words 24,120.10 -l es + veinticuatro mil ciento veinte punto uno + + $num2words 2.14 -l es --to currency + dos euros con catorce céntimos +""" + +from __future__ import print_function, unicode_literals +import os +import sys +from docopt import docopt +import num2words + +__version__ = "0.5.14" +__license__ = "LGPL" + + +def get_languages(): + return sorted(list(num2words.CONVERTER_CLASSES.keys())) + + +def get_converters(): + return sorted(list(num2words.CONVERTES_TYPES)) + + +def main(): + version = "{}=={}".format(os.path.basename(__file__), __version__) + args = docopt(__doc__, argv=None, help=True, version=version, options_first=False) + if args["--list-languages"]: + for lang in get_languages(): + sys.stdout.write(lang) + sys.stdout.write(os.linesep) + sys.exit(0) + if args["--list-converters"]: + for cvt in get_converters(): + sys.stdout.write(cvt) + sys.stdout.write(os.linesep) + sys.exit(0) + try: + words = num2words.num2words(args[''], lang=args['--lang'], to=args['--to']) + sys.stdout.write(words + os.linesep) + sys.exit(0) + except Exception as err: + sys.stderr.write(str(args[''])) + sys.stderr.write(str(err) + os.linesep) + sys.stderr.write(__doc__) + sys.exit(1) + + +if __name__ == '__main__': + main() diff --git a/ext/py/num2words/build/lib/num2words/__init__.py b/ext/py/num2words/build/lib/num2words/__init__.py new file mode 100644 index 0000000..b696906 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/__init__.py @@ -0,0 +1,119 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from . import (lang_AM, lang_AR, lang_AZ, lang_BE, lang_BN, lang_CA, lang_CE, + lang_CS, lang_CY, lang_DA, lang_DE, lang_EN, lang_EN_IN, + lang_EN_NG, lang_EO, lang_ES, lang_ES_CO, lang_ES_CR, + lang_ES_GT, lang_ES_NI, lang_ES_VE, lang_FA, lang_FI, lang_FR, + lang_FR_BE, lang_FR_CH, lang_FR_DZ, lang_HE, lang_HI, lang_HU, + lang_HY, lang_ID, lang_IS, lang_IT, lang_JA, lang_KN, lang_KO, + lang_KZ, lang_LT, lang_LV, lang_MN, lang_NL, lang_NO, lang_PL, + lang_PT, lang_PT_BR, lang_RO, lang_RU, lang_SK, lang_SL, + lang_SR, lang_SV, lang_TE, lang_TET, lang_TG, lang_TH, lang_TR, + lang_UK, lang_VI, lang_ZH, lang_ZH_CN, lang_ZH_HK, lang_ZH_TW) + +CONVERTER_CLASSES = { + 'am': lang_AM.Num2Word_AM(), + 'ar': lang_AR.Num2Word_AR(), + 'az': lang_AZ.Num2Word_AZ(), + 'be': lang_BE.Num2Word_BE(), + 'bn': lang_BN.Num2Word_BN(), + 'ca': lang_CA.Num2Word_CA(), + 'ce': lang_CE.Num2Word_CE(), + 'cs': lang_CS.Num2Word_CS(), + 'cy': lang_CY.Num2Word_CY(), + 'da': lang_DA.Num2Word_DA(), + 'de': lang_DE.Num2Word_DE(), + 'en': lang_EN.Num2Word_EN(), + 'en_IN': lang_EN_IN.Num2Word_EN_IN(), + 'en_NG': lang_EN_NG.Num2Word_EN_NG(), + 'eo': lang_EO.Num2Word_EO(), + 'es': lang_ES.Num2Word_ES(), + 'es_CO': lang_ES_CO.Num2Word_ES_CO(), + 'es_CR': lang_ES_CR.Num2Word_ES_CR(), + 'es_GT': lang_ES_GT.Num2Word_ES_GT(), + 'es_NI': lang_ES_NI.Num2Word_ES_NI(), + 'es_VE': lang_ES_VE.Num2Word_ES_VE(), + 'fa': lang_FA.Num2Word_FA(), + 'fi': lang_FI.Num2Word_FI(), + 'fr': lang_FR.Num2Word_FR(), + 'fr_BE': lang_FR_BE.Num2Word_FR_BE(), + 'fr_CH': lang_FR_CH.Num2Word_FR_CH(), + 'fr_DZ': lang_FR_DZ.Num2Word_FR_DZ(), + 'he': lang_HE.Num2Word_HE(), + 'hi': lang_HI.Num2Word_HI(), + 'hu': lang_HU.Num2Word_HU(), + 'hy': lang_HY.Num2Word_HY(), + 'id': lang_ID.Num2Word_ID(), + 'is': lang_IS.Num2Word_IS(), + 'it': lang_IT.Num2Word_IT(), + 'ja': lang_JA.Num2Word_JA(), + 'kn': lang_KN.Num2Word_KN(), + 'ko': lang_KO.Num2Word_KO(), + 'kz': lang_KZ.Num2Word_KZ(), + 'lt': lang_LT.Num2Word_LT(), + 'lv': lang_LV.Num2Word_LV(), + 'mn': lang_MN.Num2Word_MN(), + 'nl': lang_NL.Num2Word_NL(), + 'no': lang_NO.Num2Word_NO(), + 'pl': lang_PL.Num2Word_PL(), + 'pt': lang_PT.Num2Word_PT(), + 'pt_BR': lang_PT_BR.Num2Word_PT_BR(), + 'ro': lang_RO.Num2Word_RO(), + 'ru': lang_RU.Num2Word_RU(), + 'sk': lang_SK.Num2Word_SK(), + 'sl': lang_SL.Num2Word_SL(), + 'sr': lang_SR.Num2Word_SR(), + 'sv': lang_SV.Num2Word_SV(), + 'te': lang_TE.Num2Word_TE(), + 'tet': lang_TET.Num2Word_TET(), + 'tg': lang_TG.Num2Word_TG(), + 'th': lang_TH.Num2Word_TH(), + 'tr': lang_TR.Num2Word_TR(), + 'uk': lang_UK.Num2Word_UK(), + 'vi': lang_VI.Num2Word_VI(), + 'zh': lang_ZH.Num2Word_ZH(), + 'zh_CN': lang_ZH_CN.Num2Word_ZH_CN(), + 'zh_HK': lang_ZH_HK.Num2Word_ZH_HK(), + 'zh_TW': lang_ZH_TW.Num2Word_ZH_TW(), +} + +CONVERTES_TYPES = ['cardinal', 'ordinal', 'ordinal_num', 'year', 'currency'] + + +def num2words(number, ordinal=False, lang='en', to='cardinal', **kwargs): + # We try the full language first + if lang not in CONVERTER_CLASSES: + # ... and then try only the first 2 letters + lang = lang[:2] + if lang not in CONVERTER_CLASSES: + raise NotImplementedError() + converter = CONVERTER_CLASSES[lang] + + if isinstance(number, str): + number = converter.str_to_number(number) + + # backwards compatible + if ordinal: + to = 'ordinal' + + if to not in CONVERTES_TYPES: + raise NotImplementedError() + + return getattr(converter, 'to_{}'.format(to))(number, **kwargs) diff --git a/ext/py/num2words/build/lib/num2words/base.py b/ext/py/num2words/build/lib/num2words/base.py new file mode 100644 index 0000000..fb30b4e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/base.py @@ -0,0 +1,328 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import math +from collections import OrderedDict +from decimal import Decimal + +from .compat import to_s +from .currency import parse_currency_parts, prefix_currency + + +class Num2Word_Base(object): + CURRENCY_FORMS = {} + CURRENCY_ADJECTIVES = {} + + def __init__(self): + self.is_title = False + self.precision = 2 + self.exclude_title = [] + self.negword = "(-) " + self.pointword = "(.)" + self.errmsg_nonnum = "type(%s) not in [long, int, float]" + self.errmsg_floatord = "Cannot treat float %s as ordinal." + self.errmsg_negord = "Cannot treat negative num %s as ordinal." + self.errmsg_toobig = "abs(%s) must be less than %s." + + self.setup() + + # uses cards + if any(hasattr(self, field) for field in + ['high_numwords', 'mid_numwords', 'low_numwords']): + self.cards = OrderedDict() + self.set_numwords() + self.MAXVAL = 1000 * list(self.cards.keys())[0] + + def set_numwords(self): + self.set_high_numwords(self.high_numwords) + self.set_mid_numwords(self.mid_numwords) + self.set_low_numwords(self.low_numwords) + + def set_high_numwords(self, *args): + raise NotImplementedError + + def set_mid_numwords(self, mid): + for key, val in mid: + self.cards[key] = val + + def set_low_numwords(self, numwords): + for word, n in zip(numwords, range(len(numwords) - 1, -1, -1)): + self.cards[n] = word + + def splitnum(self, value): + for elem in self.cards: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((self.cards[1], 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [(div * self.cards[elem], div*elem)] + out.append(self.splitnum(div)) + + out.append((self.cards[elem], elem)) + + if mod: + out.append(self.splitnum(mod)) + + return out + + def parse_minus(self, num_str): + """Detach minus and return it as symbol with new num_str.""" + if num_str.startswith('-'): + # Extra spacing to compensate if there is no minus. + return '%s ' % self.negword.strip(), num_str[1:] + return '', num_str + + def str_to_number(self, value): + return Decimal(value) + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.negword.strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def float2tuple(self, value): + pre = int(value) + + # Simple way of finding decimal places to update the precision + self.precision = abs(Decimal(str(value)).as_tuple().exponent) + + post = abs(value - pre) * 10**self.precision + if abs(round(post) - post) < 0.01: + # We generally floor all values beyond our precision (rather than + # rounding), but in cases where we have something like 1.239999999, + # which is probably due to python's handling of floats, we actually + # want to consider it as 1.24 instead of 1.23 + post = int(round(post)) + else: + post = int(math.floor(post)) + + return pre, post + + def to_cardinal_float(self, value): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre)] + if value < 0 and pre == 0: + out = [self.negword.strip()] + out + + if self.precision: + out.append(self.title(self.pointword)) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s(self.to_cardinal(curr))) + + return " ".join(out) + + def merge(self, curr, next): + raise NotImplementedError + + def clean(self, val): + out = val + while len(val) != 1: + out = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + out.append(self.merge(left, right)) + if val[2:]: + out.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + out.append(elem[0]) + else: + out.append(self.clean(elem)) + else: + out.append(elem) + val = out + return out[0] + + def title(self, value): + if self.is_title: + out = [] + value = value.split() + for word in value: + if word in self.exclude_title: + out.append(word) + else: + out.append(word[0].upper() + word[1:]) + value = " ".join(out) + return value + + def verify_ordinal(self, value): + if not value == int(value): + raise TypeError(self.errmsg_floatord % value) + if not abs(value) == value: + raise TypeError(self.errmsg_negord % value) + + def to_ordinal(self, value): + return self.to_cardinal(value) + + def to_ordinal_num(self, value): + return value + + # Trivial version + def inflect(self, value, text): + text = text.split("/") + if value == 1: + return text[0] + return "".join(text) + + # //CHECK: generalise? Any others like pounds/shillings/pence? + def to_splitnum(self, val, hightxt="", lowtxt="", jointxt="", + divisor=100, longval=True, cents=True): + out = [] + + if isinstance(val, float): + high, low = self.float2tuple(val) + else: + try: + high, low = val + except TypeError: + high, low = divmod(val, divisor) + + if high: + hightxt = self.title(self.inflect(high, hightxt)) + out.append(self.to_cardinal(high)) + if low: + if longval: + if hightxt: + out.append(hightxt) + if jointxt: + out.append(self.title(jointxt)) + elif hightxt: + out.append(hightxt) + + if low: + if cents: + out.append(self.to_cardinal(low)) + else: + out.append("%02d" % low) + if lowtxt and longval: + out.append(self.title(self.inflect(low, lowtxt))) + + return " ".join(out) + + def to_year(self, value, **kwargs): + return self.to_cardinal(value) + + def pluralize(self, n, forms): + """ + Should resolve gettext form: + http://docs.translatehouse.org/projects/localization-guide/en/latest/l10n/pluralforms.html + """ + raise NotImplementedError + + def _money_verbose(self, number, currency): + return self.to_cardinal(number) + + def _cents_verbose(self, number, currency): + return self.to_cardinal(number) + + def _cents_terse(self, number, currency): + return "%02d" % number + + def to_currency(self, val, currency='EUR', cents=True, separator=',', + adjective=False): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + Handles whole numbers and decimal numbers differently + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + + # Explicitly check if input has decimal point or non-zero cents + has_decimal = isinstance(val, float) or str(val).find('.') != -1 + + # Only include cents if: + # 1. Input has decimal point OR + # 2. Cents are non-zero + if has_decimal or right > 0: + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + return u'%s%s %s%s %s %s' % ( + minus_str, + money_str, + self.pluralize(left, cr1), + separator, + cents_str, + self.pluralize(right, cr2) + ) + else: + return u'%s%s %s' % ( + minus_str, + money_str, + self.pluralize(left, cr1) + ) + + def setup(self): + pass diff --git a/ext/py/num2words/build/lib/num2words/compat.py b/ext/py/num2words/build/lib/num2words/compat.py new file mode 100644 index 0000000..321cd2e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/compat.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +try: + strtype = basestring +except NameError: + strtype = str + + +def to_s(val): + try: + return unicode(val) + except NameError: + return str(val) diff --git a/ext/py/num2words/build/lib/num2words/currency.py b/ext/py/num2words/build/lib/num2words/currency.py new file mode 100644 index 0000000..4982251 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/currency.py @@ -0,0 +1,50 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division + +from decimal import ROUND_HALF_UP, Decimal + + +def parse_currency_parts(value, is_int_with_cents=True): + if isinstance(value, int): + if is_int_with_cents: + # assume cents if value is integer + negative = value < 0 + value = abs(value) + integer, cents = divmod(value, 100) + else: + negative = value < 0 + integer, cents = abs(value), 0 + + else: + value = Decimal(value) + value = value.quantize( + Decimal('.01'), + rounding=ROUND_HALF_UP + ) + negative = value < 0 + value = abs(value) + integer, fraction = divmod(value, 1) + integer = int(integer) + cents = int(fraction * 100) + + return integer, cents, negative + + +def prefix_currency(prefix, base): + return tuple("%s %s" % (prefix, i) for i in base) diff --git a/ext/py/num2words/build/lib/num2words/lang_AM.py b/ext/py/num2words/build/lib/num2words/lang_AM.py new file mode 100644 index 0000000..77922db --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_AM.py @@ -0,0 +1,129 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_AM(lang_EU.Num2Word_EU): + CURRENCY_FORMS = {'ETB': (('ብር', 'ብር'), ('ሳንቲም', 'ሳንቲም'))} + + GIGA_SUFFIX = 'ቢሊዮን' + MEGA_SUFFIX = 'ሚሊዮን' + + def set_high_numwords(self, high): + cap = 3 * (len(high) + 1) + + for word, n in zip(high, range(cap, 5, -3)): + if n == 9: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + else: + self.cards[10 ** n] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_AM, self).setup() + + self.negword = 'አሉታዊ ' + self.pointword = 'ነጥብ' + self.exclude_title = ['እና', 'ነጥብ', 'አሉታዊ'] + + self.mid_numwords = [(1000, 'ሺህ'), (100, 'መቶ'), (90, 'ዘጠና'), + (80, 'ሰማኒያ'), (70, 'ሰባ'), (60, 'ስድሳ'), + (50, 'አምሳ'), (40, 'አርባ'), (30, 'ሠላሳ')] + self.low_numwords = ['ሃያ', 'አሥራ ዘጠኝ', 'አሥራ ስምንት', 'አሥራ ሰባት', + 'አስራ ስድስት', 'አሥራ አምስት', 'አሥራ አራት', 'አሥራ ሦስት', + 'አሥራ ሁለት', 'አሥራ አንድ', 'አሥር', 'ዘጠኝ', 'ስምንት', + 'ሰባት', 'ስድስት', 'አምስት', 'አራት', 'ሦስት', 'ሁለት', + 'አንድ', 'ዜሮ'] + self.ords = {'አንድ': 'አንደኛ', + 'ሁለት': 'ሁለተኛ', + 'ሦስት': 'ሦስተኛ', + 'አራት': 'አራተኛ', + 'አምስት': 'አምስተኛ', + 'ስድስት': 'ስድስተኛ', + 'ሰባት': 'ሰባተኛ', + 'ስምንት': 'ስምንተኛ', + 'ዘጠኝ': 'ዘጠነኛ', + 'አሥር': 'አሥረኛ', + 'አሥራ አንድ': 'አሥራ አንደኛ', + 'አሥራ ሁለት': 'አሥራ ሁለተኛ', + 'አሥራ ሦስት': 'አሥራ ሦስተኛ', + 'አሥራ አራት': 'አሥራ አራተኛ', + 'አሥራ አምስት': 'አሥራ አምስተኛ', + 'አሥራ ስድስት': 'አሥራ ስድስተኛ', + 'አሥራ ሰባት': 'አሥራ ሰባተኛ', + 'አሥራ ስምንት': 'አሥራ ስምንተኛ', + 'አሥራ ዘጠኝ': 'አሥራ ዘጠነኛ'} + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = '' + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + if value == 100: + return self.title(out + 'መቶ') + else: + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return rtext, rnum + elif 100 > lnum > rnum: + return '%s %s' % (ltext, rtext), lnum + rnum + elif lnum >= 100 > rnum: + return '%s %s' % (ltext, rtext), lnum + rnum + elif rnum > lnum: + return '%s %s' % (ltext, rtext), lnum * rnum + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(' ') + lastwords = outwords[-1].split('-') + lastword = lastwords[-1].lower() + try: + lastword = self.ords[lastword] + except KeyError: + lastword += 'ኛ' + lastwords[-1] = self.title(lastword) + outwords[-1] = ' '.join(lastwords) + return ' '.join(outwords) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return '%s%s' % (value, self.to_ordinal(value)[-1:]) + + def to_currency(self, val, currency='ብር', cents=True, separator=' ከ', + adjective=True): + result = super(Num2Word_AM, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt='መቶ', longval=longval) diff --git a/ext/py/num2words/build/lib/num2words/lang_AR.py b/ext/py/num2words/build/lib/num2words/lang_AR.py new file mode 100644 index 0000000..7813d3a --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_AR.py @@ -0,0 +1,415 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2018, Abdullah Alhazmy, Alhazmy13. All Rights Reserved. + + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +import decimal +import math +import re +from decimal import Decimal +from math import floor + +from .base import Num2Word_Base + +CURRENCY_SR = [("ريال", "ريالان", "ريالات", "ريالاً"), + ("هللة", "هللتان", "هللات", "هللة")] +CURRENCY_EGP = [("جنيه", "جنيهان", "جنيهات", "جنيهاً"), + ("قرش", "قرشان", "قروش", "قرش")] +CURRENCY_KWD = [("دينار", "ديناران", "دينارات", "ديناراً"), + ("فلس", "فلسان", "فلس", "فلس")] +CURRENCY_TND = [("دينار", "ديناران", "دينارات", "ديناراً"), + ("مليماً", "ميلمان", "مليمات", "مليم")] + +ARABIC_ONES = [ + "", "واحد", "اثنان", "ثلاثة", "أربعة", "خمسة", "ستة", "سبعة", "ثمانية", + "تسعة", + "عشرة", "أحد عشر", "اثنا عشر", "ثلاثة عشر", "أربعة عشر", "خمسة عشر", + "ستة عشر", "سبعة عشر", "ثمانية عشر", + "تسعة عشر" +] + + +class Num2Word_AR(Num2Word_Base): + errmsg_toobig = "abs(%s) must be less than %s." + MAXVAL = 10**51 + + def __init__(self): + super().__init__() + + self.number = 0 + self.arabicPrefixText = "" + self.arabicSuffixText = "" + self.integer_value = 0 + self._decimalValue = "" + self.partPrecision = 2 + self.currency_unit = CURRENCY_SR[0] + self.currency_subunit = CURRENCY_SR[1] + self.isCurrencyPartNameFeminine = True + self.isCurrencyNameFeminine = False + self.separator = 'و' + + self.arabicOnes = ARABIC_ONES + self.arabicFeminineOnes = [ + "", "إحدى", "اثنتان", "ثلاث", "أربع", "خمس", "ست", "سبع", "ثمان", + "تسع", + "عشر", "إحدى عشرة", "اثنتا عشرة", "ثلاث عشرة", "أربع عشرة", + "خمس عشرة", "ست عشرة", "سبع عشرة", "ثماني عشرة", + "تسع عشرة" + ] + self.arabicOrdinal = [ + "", "اول", "ثاني", "ثالث", "رابع", "خامس", "سادس", "سابع", "ثامن", + "تاسع", "عاشر", "حادي عشر", "ثاني عشر", "ثالث عشر", "رابع عشر", + "خامس عشر", "سادس عشر", "سابع عشر", "ثامن عشر", "تاسع عشر" + ] + self.arabicTens = [ + "عشرون", "ثلاثون", "أربعون", "خمسون", "ستون", "سبعون", "ثمانون", + "تسعون" + ] + self.arabicHundreds = [ + "", "مائة", "مئتان", "ثلاثمائة", "أربعمائة", "خمسمائة", "ستمائة", + "سبعمائة", "ثمانمائة", "تسعمائة" + ] + + self.arabicAppendedTwos = [ + "مئتا", "ألفا", "مليونا", "مليارا", "تريليونا", "كوادريليونا", + "كوينتليونا", "سكستيليونا", "سبتيليونا", "أوكتيليونا ", + "نونيليونا", "ديسيليونا", "أندسيليونا", "دوديسيليونا", + "تريديسيليونا", "كوادريسيليونا", "كوينتينيليونا" + ] + self.arabicTwos = [ + "مئتان", "ألفان", "مليونان", "ملياران", "تريليونان", + "كوادريليونان", "كوينتليونان", "سكستيليونان", "سبتيليونان", + "أوكتيليونان ", "نونيليونان ", "ديسيليونان", "أندسيليونان", + "دوديسيليونان", "تريديسيليونان", "كوادريسيليونان", "كوينتينيليونان" + ] + self.arabicGroup = [ + "مائة", "ألف", "مليون", "مليار", "تريليون", "كوادريليون", + "كوينتليون", "سكستيليون", "سبتيليون", "أوكتيليون", "نونيليون", + "ديسيليون", "أندسيليون", "دوديسيليون", "تريديسيليون", + "كوادريسيليون", "كوينتينيليون" + ] + self.arabicAppendedGroup = [ + "", "ألفاً", "مليوناً", "ملياراً", "تريليوناً", "كوادريليوناً", + "كوينتليوناً", "سكستيليوناً", "سبتيليوناً", "أوكتيليوناً", + "نونيليوناً", "ديسيليوناً", "أندسيليوناً", "دوديسيليوناً", + "تريديسيليوناً", "كوادريسيليوناً", "كوينتينيليوناً" + ] + self.arabicPluralGroups = [ + "", "آلاف", "ملايين", "مليارات", "تريليونات", "كوادريليونات", + "كوينتليونات", "سكستيليونات", "سبتيليونات", "أوكتيليونات", + "نونيليونات", "ديسيليونات", "أندسيليونات", "دوديسيليونات", + "تريديسيليونات", "كوادريسيليونات", "كوينتينيليونات" + ] + assert len(self.arabicAppendedGroup) == len(self.arabicGroup) + assert len(self.arabicPluralGroups) == len(self.arabicGroup) + assert len(self.arabicAppendedTwos) == len(self.arabicTwos) + + def number_to_arabic(self, arabic_prefix_text, arabic_suffix_text): + self.arabicPrefixText = arabic_prefix_text + self.arabicSuffixText = arabic_suffix_text + self.extract_integer_and_decimal_parts() + + def extract_integer_and_decimal_parts(self): + splits = re.split('\\.', str(self.number)) + + self.integer_value = int(splits[0]) + if len(splits) > 1: + self._decimalValue = int(self.decimal_value(splits[1])) + else: + self._decimalValue = 0 + + def decimal_value(self, decimal_part): + + if self.partPrecision is not len(decimal_part): + decimal_part_length = len(decimal_part) + + decimal_part_builder = decimal_part + for i in range(0, self.partPrecision - decimal_part_length): + decimal_part_builder += '0' + decimal_part = decimal_part_builder + + if len(decimal_part) <= self.partPrecision: + dec = len(decimal_part) + else: + dec = self.partPrecision + result = decimal_part[0: dec] + else: + result = decimal_part + + # The following is useless (never happens) + # for i in range(len(result), self.partPrecision): + # result += '0' + return result + + def digit_feminine_status(self, digit, group_level): + if group_level == -1: + if self.isCurrencyPartNameFeminine: + return self.arabicFeminineOnes[int(digit)] + else: + # Note: this never happens + return self.arabicOnes[int(digit)] + elif group_level == 0: + if self.isCurrencyNameFeminine: + return self.arabicFeminineOnes[int(digit)] + else: + return self.arabicOnes[int(digit)] + else: + return self.arabicOnes[int(digit)] + + def process_arabic_group(self, group_number, group_level, + remaining_number): + tens = Decimal(group_number) % Decimal(100) + hundreds = Decimal(group_number) / Decimal(100) + ret_val = "" + + if int(hundreds) > 0: + if tens == 0 and int(hundreds) == 2: + ret_val = "{}".format(self.arabicAppendedTwos[0]) + else: + ret_val = "{}".format(self.arabicHundreds[int(hundreds)]) + if ret_val != "" and tens != 0: + ret_val += " و " + + if tens > 0: + if tens < 20: + # if int(group_level) >= len(self.arabicTwos): + # raise OverflowError(self.errmsg_toobig % + # (self.number, self.MAXVAL)) + assert int(group_level) < len(self.arabicTwos) + if tens == 2 and int(hundreds) == 0 and group_level > 0: + pow = int(math.log10(self.integer_value)) + if self.integer_value > 10 and pow % 3 == 0 and \ + self.integer_value == 2 * (10 ** pow): + ret_val = "{}".format( + self.arabicAppendedTwos[int(group_level)]) + else: + ret_val = "{}".format( + self.arabicTwos[int(group_level)]) + else: + + if tens == 1 and group_level > 0 and hundreds == 0: + # Note: this never happens + # (hundreds == 0 only if group_number is 0) + ret_val += "" + elif (tens == 1 or tens == 2) and ( + group_level == 0 or group_level == -1) and \ + hundreds == 0 and remaining_number == 0: + # Note: this never happens (idem) + ret_val += "" + elif tens == 1 and group_level > 0: + ret_val += self.arabicGroup[int(group_level)] + else: + ret_val += self.digit_feminine_status(int(tens), + group_level) + else: + ones = tens % 10 + tens = (tens / 10) - 2 + if ones > 0: + ret_val += self.digit_feminine_status(ones, group_level) + if ret_val != "" and ones != 0: + ret_val += " و " + + ret_val += self.arabicTens[int(tens)] + + return ret_val + + # We use this instead of built-in `abs` function, + # because `abs` suffers from loss of precision for big numbers + def abs(self, number): + return number if number >= 0 else -number + + # We use this instead of `"{:09d}".format(number)`, + # because the string conversion suffers from loss of + # precision for big numbers + def to_str(self, number): + integer = int(number) + if integer == number: + return str(integer) + decimal = round((number - integer) * 10**9) + return str(integer) + "." + "{:09d}".format(decimal).rstrip("0") + + def convert(self, value): + self.number = self.to_str(value) + self.number_to_arabic(self.arabicPrefixText, self.arabicSuffixText) + return self.convert_to_arabic() + + def convert_to_arabic(self): + temp_number = Decimal(self.number) + + if temp_number == Decimal(0): + return "صفر" + + decimal_string = self.process_arabic_group(self._decimalValue, + -1, + Decimal(0)) + ret_val = "" + group = 0 + + while temp_number > Decimal(0): + + temp_number_dec = Decimal(str(temp_number)) + try: + number_to_process = int(temp_number_dec % Decimal(str(1000))) + except decimal.InvalidOperation: + decimal.getcontext().prec = len( + temp_number_dec.as_tuple().digits + ) + number_to_process = int(temp_number_dec % Decimal(str(1000))) + + temp_number = int(temp_number_dec / Decimal(1000)) + + group_description = \ + self.process_arabic_group(number_to_process, + group, + Decimal(floor(temp_number))) + if group_description != '': + if group > 0: + if ret_val != "": + ret_val = "{}و {}".format("", ret_val) + if number_to_process != 2 and number_to_process != 1: + # if group >= len(self.arabicGroup): + # raise OverflowError(self.errmsg_toobig % + # (self.number, self.MAXVAL) + # ) + assert group < len(self.arabicGroup) + if number_to_process % 100 != 1: + if 3 <= number_to_process <= 10: + ret_val = "{} {}".format( + self.arabicPluralGroups[group], ret_val) + else: + if ret_val != "": + ret_val = "{} {}".format( + self.arabicAppendedGroup[group], + ret_val) + else: + ret_val = "{} {}".format( + self.arabicGroup[group], ret_val) + + else: + ret_val = "{} {}".format(self.arabicGroup[group], + ret_val) + ret_val = "{} {}".format(group_description, ret_val) + group += 1 + formatted_number = "" + if self.arabicPrefixText != "": + formatted_number += "{} ".format(self.arabicPrefixText) + formatted_number += ret_val + if self.integer_value != 0: + remaining100 = int(self.integer_value % 100) + + if remaining100 == 0: + formatted_number += self.currency_unit[0] + elif remaining100 == 1: + formatted_number += self.currency_unit[0] + elif remaining100 == 2: + if self.integer_value == 2: + formatted_number += self.currency_unit[1] + else: + formatted_number += self.currency_unit[0] + elif 3 <= remaining100 <= 10: + formatted_number += self.currency_unit[2] + elif 11 <= remaining100 <= 99: + formatted_number += self.currency_unit[3] + if self._decimalValue != 0: + formatted_number += " {} ".format(self.separator) + formatted_number += decimal_string + + if self._decimalValue != 0: + formatted_number += " " + remaining100 = int(self._decimalValue % 100) + + if remaining100 == 0: + formatted_number += self.currency_subunit[0] + elif remaining100 == 1: + formatted_number += self.currency_subunit[0] + elif remaining100 == 2: + formatted_number += self.currency_subunit[1] + elif 3 <= remaining100 <= 10: + formatted_number += self.currency_subunit[2] + elif 11 <= remaining100 <= 99: + formatted_number += self.currency_subunit[3] + + if self.arabicSuffixText != "": + formatted_number += " {}".format(self.arabicSuffixText) + + return formatted_number + + def validate_number(self, number): + if number >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (number, self.MAXVAL)) + return number + + def set_currency_prefer(self, currency): + if currency == 'TND': + self.currency_unit = CURRENCY_TND[0] + self.currency_subunit = CURRENCY_TND[1] + self.partPrecision = 3 + elif currency == 'EGP': + self.currency_unit = CURRENCY_EGP[0] + self.currency_subunit = CURRENCY_EGP[1] + self.partPrecision = 2 + elif currency == 'KWD': + self.currency_unit = CURRENCY_KWD[0] + self.currency_subunit = CURRENCY_KWD[1] + self.partPrecision = 2 + else: + self.currency_unit = CURRENCY_SR[0] + self.currency_subunit = CURRENCY_SR[1] + self.partPrecision = 2 + + def to_currency(self, value, currency='SR', prefix='', suffix=''): + self.set_currency_prefer(currency) + self.isCurrencyNameFeminine = False + self.separator = "و" + self.arabicOnes = ARABIC_ONES + self.arabicPrefixText = prefix + self.arabicSuffixText = suffix + return self.convert(value=value) + + def to_ordinal(self, number, prefix=''): + if number <= 19: + return "{}".format(self.arabicOrdinal[number]) + if number < 100: + self.isCurrencyNameFeminine = True + else: + self.isCurrencyNameFeminine = False + self.currency_subunit = ('', '', '', '') + self.currency_unit = ('', '', '', '') + self.arabicPrefixText = prefix + self.arabicSuffixText = "" + return "{}".format(self.convert(self.abs(number)).strip()) + + def to_year(self, value): + value = self.validate_number(value) + return self.to_cardinal(value) + + def to_ordinal_num(self, value): + return self.to_ordinal(value).strip() + + def to_cardinal(self, number): + self.isCurrencyNameFeminine = False + number = self.validate_number(number) + minus = '' + if number < 0: + minus = 'سالب ' + self.separator = ',' + self.currency_subunit = ('', '', '', '') + self.currency_unit = ('', '', '', '') + self.arabicPrefixText = "" + self.arabicSuffixText = "" + self.arabicOnes = ARABIC_ONES + return minus + self.convert(value=self.abs(number)).strip() diff --git a/ext/py/num2words/build/lib/num2words/lang_AZ.py b/ext/py/num2words/build/lib/num2words/lang_AZ.py new file mode 100644 index 0000000..e225bfb --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_AZ.py @@ -0,0 +1,204 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_AZ(Num2Word_Base): + DIGITS = { + 0: u"sıfır", + 1: u"bir", + 2: u"iki", + 3: u"üç", + 4: u"dörd", + 5: u"beş", + 6: u"altı", + 7: u"yeddi", + 8: u"səkkiz", + 9: u"doqquz", + } + + DECIMALS = { + 1: u"on", + 2: u"iyirmi", + 3: u"otuz", + 4: u"qırx", + 5: u"əlli", + 6: u"altmış", + 7: u"yetmiş", + 8: u"səksən", + 9: u"doxsan", + } + + POWERS_OF_TEN = { + 2: u"yüz", + 3: u"min", + 6: u"milyon", + 9: u"milyard", + 12: u"trilyon", + 15: u"katrilyon", + 18: u"kentilyon", + 21: u"sekstilyon", + 24: u"septilyon", + 27: u"oktilyon", + 30: u"nonilyon", + 33: u"desilyon", + 36: u"undesilyon", + 39: u"dodesilyon", + 42: u"tredesilyon", + 45: u"katordesilyon", + 48: u"kendesilyon", + 51: u"seksdesilyon", + 54: u"septendesilyon", + 57: u"oktodesilyon", + 60: u"novemdesilyon", + 63: u"vigintilyon", + } + + VOWELS = u"aıoueəiöü" + VOWEL_TO_CARDINAL_SUFFIX_MAP = { + **dict.fromkeys(["a", "ı"], "ıncı"), + **dict.fromkeys(["e", "ə", "i"], "inci"), + **dict.fromkeys(["o", "u"], "uncu"), + **dict.fromkeys(["ö", "ü"], "üncü"), + } + + VOWEL_TO_CARDINAL_NUM_SUFFIX_MAP = { + **dict.fromkeys(["a", "ı"], "cı"), + **dict.fromkeys(["e", "ə", "i"], "ci"), + **dict.fromkeys(["o", "u"], "cu"), + **dict.fromkeys(["ö", "ü"], "cü"), + } + + CURRENCY_INTEGRAL = ('manat', 'manat') + CURRENCY_FRACTION = ('qəpik', 'qəpik') + CURRENCY_FORMS = {'AZN': (CURRENCY_INTEGRAL, CURRENCY_FRACTION)} + + def setup(self): + super().setup() + + self.negword = u"mənfi" + self.pointword = u"nöqtə" + + def to_cardinal(self, value): + value_str = str(value) + parts = value_str.split(".") + integral_part = parts[0] + fraction_part = parts[1] if len(parts) > 1 else "" + + if integral_part.startswith("-"): + integral_part = integral_part[1:] # ignore minus sign here + + integral_part_in_words = self.int_to_word(integral_part) + fraction_part_in_words = "" if not fraction_part else self.int_to_word( + fraction_part, leading_zeros=True) + + value_in_words = integral_part_in_words + if fraction_part: + value_in_words = " ".join( + [ + integral_part_in_words, + self.pointword, + fraction_part_in_words + ] + ) + + if value < 0: + value_in_words = " ".join([self.negword, value_in_words]) + + return value_in_words + + def to_ordinal(self, value): + assert int(value) == value + + cardinal = self.to_cardinal(value) + last_vowel = self._last_vowel(cardinal) + assert last_vowel is not None + suffix = self.VOWEL_TO_CARDINAL_SUFFIX_MAP[last_vowel] + + if cardinal.endswith(tuple(self.VOWELS)): + cardinal = cardinal[:-1] + + ordinal = "".join([cardinal, suffix]) + + return ordinal + + def to_ordinal_num(self, value): + assert int(value) == value + + cardinal = self.to_cardinal(value) + last_vowel = self._last_vowel(cardinal) + assert last_vowel is not None + suffix = self.VOWEL_TO_CARDINAL_NUM_SUFFIX_MAP[last_vowel] + ordinal_num = "-".join([str(value), suffix]) + + return ordinal_num + + def to_year(self, value): + assert int(value) == value + + year = self.to_cardinal(abs(value)) + if value < 0: + year = " ".join(["e.ə.", year]) + + return year + + def pluralize(self, n, forms): + form = 0 if n == 1 else 1 + return forms[form] + + def int_to_word(self, num_str, leading_zeros=False): + words = [] + reversed_str = list(reversed(num_str)) + + for index, digit in enumerate(reversed_str): + digit_int = int(digit) + # calculate remainder after dividing index by 3 + # because number is parsed by three digit chunks + remainder_to_3 = index % 3 + if remainder_to_3 == 0: + if index > 0: + if set(reversed_str[index:index+3]) != {'0'}: + words.insert(0, self.POWERS_OF_TEN[index]) + if digit_int > 0: + # we say "min" not "bir min" + if not (digit_int == 1 and index == 3): + words.insert(0, self.DIGITS[digit_int]) + elif remainder_to_3 == 1: + if digit_int != 0: + words.insert(0, self.DECIMALS[digit_int]) + else: # remainder is 2 + if digit_int > 0: + words.insert(0, self.POWERS_OF_TEN[2]) # "yüz" + if digit_int > 1: + words.insert(0, self.DIGITS[digit_int]) + + if num_str == '0': + words.append(self.DIGITS[0]) + + if leading_zeros: + zeros_count = len(num_str) - len(str(int(num_str))) + words[:0] = zeros_count * [self.DIGITS[0]] + + return " ".join(words) + + def _last_vowel(self, value): + for char in value[::-1]: + if char in self.VOWELS: + return char diff --git a/ext/py/num2words/build/lib/num2words/lang_BE.py b/ext/py/num2words/build/lib/num2words/lang_BE.py new file mode 100644 index 0000000..c41d6e4 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_BE.py @@ -0,0 +1,351 @@ +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2022, Sergei Ruzki. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = "нуль" + +ONES_FEMININE = { + 1: "адна", + 2: "дзве", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", +} + +ONES = { + "f": { + 1: "адна", + 2: "дзве", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, + "m": { + 1: "адзін", + 2: "два", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, + "n": { + 1: "адно", + 2: "два", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, +} + +TENS = { + 0: "дзесяць", + 1: "адзінаццаць", + 2: "дванаццаць", + 3: "трынаццаць", + 4: "чатырнаццаць", + 5: "пятнаццаць", + 6: "шаснаццаць", + 7: "сямнаццаць", + 8: "васямнаццаць", + 9: "дзевятнаццаць", +} + +TWENTIES = { + 2: "дваццаць", + 3: "трыццаць", + 4: "сорак", + 5: "пяцьдзясят", + 6: "шэсцьдзясят", + 7: "семдзесят", + 8: "восемдзесят", + 9: "дзевяноста", +} + +TWENTIES_ORD = ( + ("дваццаць", "дваццаці"), + ("трыццаць", "трыццаці"), + ("сорак", "сарака"), + ("пяцьдзясят", "пяцідзясяці"), + ("шэсцьдзясят", "шaсцідзясяці"), + ("семдзесят", "сямідзесяці"), + ("восемдзесят", "васьмідзесяці"), + ("дзевяноста", "дзевяноста"), +) + +HUNDREDS = { + 1: "сто", + 2: "дзвесце", + 3: "трыста", + 4: "чатырыста", + 5: "пяцьсот", + 6: "шэсцьсот", + 7: "семсот", + 8: "восемсот", + 9: "дзевяцьсот", +} + +THOUSANDS = { + 1: ("тысяча", "тысячы", "тысяч"), # 10^3 + 2: ("мільён", "мільёны", "мільёнаў"), # 10^6 + 3: ("мільярд", "мільярды", "мільярдаў"), # 10^9 + 4: ("трыльён", "трыльёны", "трыльёнаў"), # 10^12 + 5: ("квадрыльён", "квадрыльёны", "квадрыльёнаў"), # 10^15 + 6: ("квінтыльён", "квінтыльёны", "квінтыльёнаў"), # 10^18 + 7: ("секстыльён", "секстыльёны", "секстыльёнаў"), # 10^21 + 8: ("сэптыльён", "сэптыльёны", "сэптыльёнаў"), # 10^24 + 9: ("актыльён", "актыльёны", "актыльёнаў"), # 10^27 + 10: ("нанільён", "нанільёны", "нанільёнаў"), # 10^30 +} + + +class Num2Word_BE(Num2Word_Base): + CURRENCY_FORMS = { + "RUB": ( + ("расійскі рубель", "расійскія рублі", "расійскіх рублёў"), + ("капейка", "капейкі", "капеек"), + ), + "EUR": (("еўра", "еўра", "еўра"), ("цэнт", "цэнты", "цэнтаў")), + "USD": (("долар", "долары", "долараў"), ("цэнт", "цэнты", "цэнтаў")), + "UAH": ( + ("грыўна", "грыўны", "грыўнаў"), + ("капейка", "капейкі", "капеек"), + ), + "KZT": (("тэнге", "тэнге", "тэнге"), ("тыйін", "тыйіны", "тыйінаў")), + "BYN": ( + ("беларускі рубель", "беларускія рублі", "беларускіх рублёў"), + ("капейка", "капейкі", "капеек"), + ), + "UZS": (("сум", "сумы", "сумаў"), ("тыйін", "тыйіны", "тыйінаў")), + "PLN": (("злоты", "злотых", "злотых"), ("грош", "грошы", "грошаў")), + } + + def setup(self): + self.negword = "мінус" + self.pointword = "коска" + self.ords = { + "нуль": "нулявы", + "адзін": "першы", + "два": "другі", + "тры": "трэці", + "чатыры": "чацвёрты", + "пяць": "пяты", + "шэсць": "шосты", + "сем": "сёмы", + "восем": "восьмы", + "дзевяць": "дзявяты", + "сто": "соты", + "тысяча": "тысячны", + } + + self.ords_adjective = { + "адзін": "адна", + "адна": "адна", + "дзве": "двух", + "тры": "трох", + "чатыры": "чатырох", + "пяць": "пяці", + "шэсць": "шасці", + "сем": "сямі", + "восем": "васьмі", + "дзевяць": "дзевяцi", + "сто": "ста", + } + + def to_cardinal(self, number, gender="m"): + n = str(number).replace(",", ".") + if "." in n: + left, right = n.split(".") + if set(right) == {"0"}: + leading_zero_count = 0 + else: + leading_zero_count = len(right) - len(right.lstrip("0")) + + decimal_part = (ZERO + " ") * leading_zero_count + self._int2word( + int(right), gender + ) + return "{} {} {}".format( + self._int2word(int(left), gender), self.pointword, decimal_part + ) + else: + return self._int2word(int(n), gender) + + def pluralize(self, n, forms): + if n % 100 < 10 or n % 100 > 20: + if n % 10 == 1: + form = 0 + elif 5 > n % 10 > 1: + form = 1 + else: + form = 2 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number, gender="m"): + self.verify_ordinal(number) + if isinstance(gender, bool) and gender: + gender = "f" + outwords = self.to_cardinal(number, gender).split(" ") + lastword = outwords[-1].lower() + try: + if len(outwords) > 1: + if outwords[-2] in self.ords_adjective: + outwords[-2] = self.ords_adjective.get( + outwords[-2], outwords[-2] + ) + elif outwords[-2] == "дзесяць": + outwords[-2] = outwords[-2][:-1] + "і" + if len(outwords) == 3: + if outwords[-3] in ["адзін", "адна"]: + outwords[-3] = "" + lastword = self.ords[lastword] + except KeyError: + if lastword[:-3] in self.ords_adjective: + lastword = ( + self.ords_adjective.get(lastword[:-3], lastword) + "соты" + ) + elif lastword[-7:] == "дзесяць": + lastword = "дзясяты" + elif lastword[-9:] == "семдзесят": + lastword = "сямідзясяты" + elif lastword[-1] == "ь" or lastword[-2] == "ц": + lastword = lastword[:-2] + "ты" + elif lastword[-1] == "к": + lastword = lastword.replace("о", "а") + "авы" + + elif lastword[-2] == "ч" or lastword[-1] == "ч": + if lastword[-2] == "ч": + lastword = lastword[:-1] + "ны" + if lastword[-1] == "ч": + lastword = lastword + "ны" + + elif lastword[-1] == "н" or lastword[-2] == "н": + lastword = lastword[: lastword.rfind("н") + 1] + "ны" + elif lastword[-3:] == "наў": + lastword = lastword[: lastword.rfind("н") + 1] + "ны" + elif lastword[-1] == "д" or lastword[-2] == "д": + lastword = lastword[: lastword.rfind("д") + 1] + "ны" + + if gender == "f": + if lastword[-2:] in [ + "ці", + ]: + lastword = lastword[:-2] + "цяя" + else: + lastword = lastword[:-1] + "ая" + + if gender == "n": + if lastword[-2:] in ["ці", "ца"]: + lastword = lastword[:-2] + "цяе" + else: + lastword = lastword[:-1] + "ае" + + outwords[-1] = self.title(lastword) + if len(outwords) == 2 and "адна" in outwords[-2]: + outwords[-2] = outwords[-1] + del outwords[-1] + + if len(outwords) > 1 and ( + (any(x[0] in outwords[-1] for x in THOUSANDS.values())) + or "тысяч" in outwords[-1] + ): + new_outwords = [] + for _w in outwords: + replacement = next( + (x for x in TWENTIES_ORD if x[0] in _w), None + ) + if replacement: + _w = _w.replace(replacement[0], replacement[1]) + new_outwords.append(_w) + outwords = ["".join(new_outwords)] + + return " ".join(outwords).strip() + + def _money_verbose(self, number, currency): + gender = "m" + if currency == "UAH": + gender = "f" + + return self._int2word(number, gender) + + def _cents_verbose(self, number, currency): + if currency in ("UAH", "RUB", "BYN"): + gender = "f" + else: + gender = "m" + + return self._int2word(number, gender) + + def _int2word(self, n, gender="m"): + if n < 0: + return " ".join([self.negword, self._int2word(abs(n), gender)]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3]) + + if n2 > 1: + words.append(TWENTIES[n2]) + + if n2 == 1: + words.append(TENS[n1]) + elif n1 > 0: + if i == 0: + ones = ONES[gender] + elif i == 1: + ones = ONES["f"] # Thousands are feminine + else: + ones = ONES["m"] + + words.append(ones[n1]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return " ".join(words) diff --git a/ext/py/num2words/build/lib/num2words/lang_BN.py b/ext/py/num2words/build/lib/num2words/lang_BN.py new file mode 100644 index 0000000..ef86ed7 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_BN.py @@ -0,0 +1,203 @@ +# -*- coding: utf-8 -*- +# Author: Mehedi Hasan Khondoker +# Email: mehedihasankhondoker [at] gmail.com +# Copyright (c) 2024, Mehedi Hasan Khondoker. All Rights Reserved. + +# This library is build for Bangladesh format Number to Word conversion. +# You are welcome as contributor to the library. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. + + +from decimal import Decimal + +RANKING = ['', 'প্রথম', 'দ্বিতীয়', 'তৃতীয়', 'চতুর্থ', 'পঞ্চম', 'ষষ্ঠ', + 'সপ্তম', 'অষ্টম', 'নবম', 'দশম'] # pragma: no cover + +AKOK = ['', 'এক', 'দুই', 'তিন', 'চার', 'পাঁচ', 'ছয়', + 'সাত', 'আট', 'নয়'] # pragma: no cover + +DOSOK = [ + 'দশ', 'এগারো', 'বারো', 'তেরো', 'চৌদ্দ', 'পনের', + 'ষোল', 'সতের', 'আঠারো', 'উনিশ', + 'বিশ', 'একুশ', 'বাইশ', 'তেইশ', 'চব্বিশ', 'পঁচিশ', + 'ছাব্বিশ', 'সাতাশ', 'আটাশ', 'উনত্রিশ', + 'ত্রিশ', 'একত্রিশ', 'বত্রিশ', 'তেত্রিশ', 'চৌত্রিশ', 'পঁইত্রিশ', + 'ছত্রিশ', 'সাতত্রিশ', 'আটত্রিশ', 'উনচল্লিশ', 'চল্লিশ', + 'একচল্লিশ', 'বিয়াল্লিশ', 'তেতাল্লিশ', 'চৌচল্লিশ', + 'পঁয়তাল্লিশ', 'ছেচল্লিশ', 'সাতচল্লিশ', 'আটচল্লিশ', 'উনপঞ্চাশ', + 'পঞ্চাশ', 'একান্ন', 'বাহান্ন', 'তিপ্পান্ন', 'চুয়ান্ন', 'পঞ্চান্ন', + 'ছাপ্পান্ন', 'সাতান্ন', 'আটান্ন', 'উনষাট', 'ষাট', + 'একষট্টি', 'বাষট্টি', 'তেষট্টি', 'চৌষট্টি', 'পঁয়ষট্টি', + 'ছিষট্টি', 'সাতষট্টি', 'আটষট্টি', 'উনসত্তর', 'সত্তর', + 'একাত্তর ', 'বাহাত্তর', 'তিয়াত্তর', 'চুয়াত্তর', 'পঁচাত্তর', + 'ছিয়াত্তর', 'সাতাত্তর', 'আটাত্তর', 'উনআশি', 'আশি', + 'একাশি', 'বিরাশি', 'তিরাশি', 'চুরাশি', 'পঁচাশি', + 'ছিয়াশি', 'সাতাশি', 'আটাশি', 'উননব্বই', 'নব্বই', + 'একানব্বই', 'বিরানব্বই', 'তিরানব্বই', 'চুরানব্বই', 'পঁচানব্বই', + 'ছিয়ানব্বই', 'সাতানব্বই', 'আটানব্বই', 'নিরানব্বই' +] # pragma: no cover +HAZAR = ' হাজার ' # pragma: no cover +LAKH = ' লাখ ' # pragma: no cover +KOTI = ' কোটি ' # pragma: no cover +MAX_NUMBER = 9999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999 # noqa: E501 # pragma: no cover + + +class NumberTooLargeError(Exception): + """Custom exception for numbers that are too large.""" + pass + + +class Num2Word_BN: + + @staticmethod + def str_to_number(number): + return abs(Decimal(str(number))) # pragma: no cover + + @staticmethod + def parse_number(number: Decimal): + dosomik = str(number - int(number)).split('.')[1:] + dosomik_str = ''.join(dosomik) if dosomik else 0 + return int(number), int(dosomik_str) + + @staticmethod + def parse_paisa(number: Decimal): + # 1-99 for paisa count so two digits are valid. + paisa = str(number - int(number)).split('.')[1:] + paisa_str = ''.join(paisa) if paisa else 0 + + # this is need, when we parse to decimal it removes trailing 0 . + if paisa_str: + paisa_str = str(int(paisa_str) * 100)[:2] + return int(number), int(paisa_str) + + def _is_smaller_than_max_number(self, number): + if MAX_NUMBER >= number: + return True + raise NumberTooLargeError(f'Too Large number maximum ' + f'value={MAX_NUMBER}') + + def _dosomik_to_bengali_word(self, number): + word = '' + for i in str(number): + word += ' ' + AKOK[int(i)] + return word + + def _number_to_bengali_word(self, number): + if number == 0: + return 'শূন্য' + + words = '' + + if number >= 10 ** 7: + words += self._number_to_bengali_word(number // 10 ** 7) + KOTI + number %= 10 ** 7 + + if number >= 10 ** 5: + words += self._number_to_bengali_word(number // 10 ** 5) + LAKH + number %= 10 ** 5 + + if number >= 1000: + words += self._number_to_bengali_word(number // 1000) + HAZAR + number %= 1000 + + if number >= 100: + words += AKOK[number // 100] + 'শত ' + number %= 100 + + if 10 <= number <= 99: + words += DOSOK[number - 10] + ' ' + number = 0 + + if 0 < number < 10: + words += AKOK[number] + ' ' + + return words.strip() + + def to_currency(self, val): + """ + This function represent a number to word in bangla taka and paisa. + example: + 1 = এক টাকা, + 101 = একশত এক টাকা, + 9999.15 = নয় হাজার নয়শত নিরানব্বই টাকা পনের পয়সা + and so on. + """ + + dosomik_word = None + number = self.str_to_number(val) + number, decimal_part = self.parse_paisa(number) + self._is_smaller_than_max_number(number) + + if decimal_part > 0: + dosomik_word = f' {self._number_to_bengali_word(decimal_part)} পয়সা' # noqa: E501 + + words = f'{self._number_to_bengali_word(number)} টাকা' + + if dosomik_word: + return (words + dosomik_word).strip() + return words.strip() + + def to_cardinal(self, number): + """ + This function represent a number to word in bangla. + example: + 1 = এক, + 101 = একশত এক, + 9999 = নয় হাজার নয়শত নিরানব্বই + and so on. + """ + + dosomik_word = None + number = self.str_to_number(number) + number, decimal_part = self.parse_number(number) + self._is_smaller_than_max_number(number) + + if decimal_part > 0: + dosomik_word = f' দশমিক{self._dosomik_to_bengali_word(decimal_part)}' # noqa: E501 + + words = self._number_to_bengali_word(number) + + if dosomik_word: + return (words + dosomik_word).strip() + return words.strip() + + def to_ordinal(self, number): + return self.to_cardinal(number) + + def to_ordinal_num(self, number): + """ + This function represent a number to ranking in bangla. + example: + 1 = প্রথম, + 2 = দ্বিতীয়, + 1001 = এক হাজার একতম + and so on. + """ + self._is_smaller_than_max_number(number) + + if number in range(1, 11): + return RANKING[number] + else: + rank = self.to_cardinal(int(abs(number))) + if rank.endswith('ত'): + return rank + 'ম' + return rank + 'তম' + + def to_year(self, number): + """ + This function represent a number to year in bangla. + example: + 2002 = দুই হাজার দুই সাল, + 2024 = দুই হাজার চব্বিশ সাল + and so on. + """ + self._is_smaller_than_max_number(number) + return self.to_cardinal(int(abs(number))) + ' সাল' diff --git a/ext/py/num2words/build/lib/num2words/lang_CA.py b/ext/py/num2words/build/lib/num2words/lang_CA.py new file mode 100644 index 0000000..97d0f29 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_CA.py @@ -0,0 +1,476 @@ +from __future__ import division, print_function, unicode_literals + +import math + +from .lang_EU import Num2Word_EU + +GENERIC_DOLLARS = ('dòlar', 'dòlars') +GENERIC_CENTS = ('centau', 'centaus') +CURRENCIES_UNA = ( + 'SLL', + 'SEK', + 'NOK', + 'CZK', + 'DKK', + 'ISK', + 'SKK', + 'GBP', + 'CYP', + 'EGP', + 'FKP', + 'GIP', + 'LBP', + 'SDG', + 'SHP', + 'SSP', + 'SYP', + 'INR', + 'IDR', + 'LKR', + 'MUR', + 'NPR', + 'PKR', + 'SCR', + 'ESP', + 'TRY', + 'ITL', +) +CENTS_UNA = ('EGP', 'JOD', 'LBP', 'SDG', 'SSP', 'SYP') + + +class Num2Word_CA(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('cèntim', 'cèntims')), + 'ESP': (('pesseta', 'pessetes'), ('cèntim', 'cèntims')), + 'USD': (GENERIC_DOLLARS, ('centau', 'centaus')), + 'PEN': (('sol', 'sols'), ('cèntim', 'cèntims')), + 'CRC': (('colón', 'colons'), GENERIC_CENTS), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('lliura', 'lliures'), ('penic', 'penics')), + 'RUB': (('ruble', 'rubles'), ('copec', 'copecs')), + 'SEK': (('corona', 'corones'), ('öre', 'öre')), + 'NOK': (('corona', 'corones'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'lei'), ('ban', 'bani')), + 'INR': (('rupia', 'rupies'), ('paisa', 'paise')), + 'HUF': (('fòrint', 'fòrints'), ('fillér', 'fillérs')), + 'FRF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'CNY': (('iuan', 'iuans'), ('fen', 'jiao')), + 'CZK': (('corona', 'corones'), ('haléř', 'haléřů')), + 'NIO': (('córdoba', 'córdobas'), GENERIC_CENTS), + 'VES': (('bolívar', 'bolívars'), ('cèntim', 'cèntims')), + 'BRL': (('real', 'reals'), GENERIC_CENTS), + 'CHF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'JPY': (('ien', 'iens'), ('sen', 'sen')), + 'KRW': (('won', 'wons'), ('jeon', 'jeon')), + 'KPW': (('won', 'wons'), ('chŏn', 'chŏn')), + 'TRY': (('lira', 'lires'), ('kuruş', 'kuruş')), + 'ZAR': (('rand', 'rands'), ('cèntim', 'cèntims')), + 'KZT': (('tenge', 'tenge'), ('tin', 'tin')), + 'UAH': (('hrívnia', 'hrívnies'), ('kopiika', 'kopíok')), + 'THB': (('baht', 'bahts'), ('satang', 'satang')), + 'AED': (('dirham', 'dirhams'), ('fils', 'fulūs')), + 'AFN': (('afgani', 'afganis'), ('puli', 'puls')), + 'ALL': (('lek', 'lekë'), ('qqindarka', 'qindarkë')), + 'AMD': (('dram', 'drams'), ('luma', 'lumas')), + 'ANG': (('florí', 'florins'), ('cèntim', 'cèntims')), + 'AOA': (('kwanza', 'kwanzes'), ('cèntim', 'cèntims')), + 'ARS': (('peso', 'pesos'), GENERIC_CENTS), + 'AWG': (('florí', 'florins'), GENERIC_CENTS), + 'AZN': (('manat', 'manats'), ('qəpik', 'qəpik')), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': (('taka', 'taka'), ('poisha', 'poisha')), + 'BGN': (('lev', 'leva'), ('stotinka', 'stotinki')), + 'BHD': (('dinar', 'dinars'), ('fils', 'fulūs')), + 'BIF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': (('boliviano', 'bolivianos'), GENERIC_CENTS), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': (('ngultrum', 'ngultrums'), ('chetrum', 'chetrums')), + 'BWP': (('pula', 'pula'), ('thebe', 'thebe')), + 'BYN': (('ruble', 'rubles'), ('copec', 'copecs')), + 'BYR': (('ruble', 'rubles'), ('copec', 'copecs')), + 'BZD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'CDF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'CLP': (('peso', 'pesos'), GENERIC_CENTS), + 'COP': (('peso', 'pesos'), GENERIC_CENTS), + 'CUP': (('peso', 'pesos'), GENERIC_CENTS), + 'CVE': (('escut', 'escuts'), GENERIC_CENTS), + 'CYP': (('lliura', 'lliures'), ('cèntim', 'cèntims')), + 'DJF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'DKK': (('corona', 'corones'), ('øre', 'øre')), + 'DOP': (('peso', 'pesos'), GENERIC_CENTS), + 'DZD': (('dinar', 'dinars'), ('cèntim', 'cèntims')), + 'ECS': (('sucre', 'sucres'), GENERIC_CENTS), + 'EGP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'ERN': (('nakfa', 'nakfes'), ('cèntim', 'cèntims')), + 'ETB': (('birr', 'birr'), ('cèntim', 'cèntims')), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': (('lliura', 'lliures'), ('penic', 'penics')), + 'GEL': (('lari', 'laris'), ('tetri', 'tetri')), + 'GHS': (('cedi', 'cedis'), ('pesewa', 'pesewas')), + 'GIP': (('lliura', 'lliures'), ('penic', 'penics')), + 'GMD': (('dalasi', 'dalasis'), ('butut', 'bututs')), + 'GNF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'GTQ': (('quetzal', 'quetzals'), GENERIC_CENTS), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': (('lempira', 'lempires'), GENERIC_CENTS), + 'HRK': (('kuna', 'kuna'), ('lipa', 'lipa')), + 'HTG': (('gourde', 'gourdes'), ('cèntim', 'cèntims')), + 'IDR': (('rúpia', 'rúpies'), ('cèntim', 'cèntims')), + 'ILS': (('xéquel', 'xéquels'), ('agorà', 'agorot')), + 'IQD': (('dinar', 'dinars'), ('fils', 'fils')), + 'IRR': (('rial', 'rials'), ('dinar', 'dinars')), + 'ISK': (('corona', 'corones'), ('eyrir', 'aurar')), + 'ITL': (('lira', 'lires'), ('cèntim', 'cèntims')), + 'JMD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'JOD': (('dinar', 'dinars'), ('piastra', 'piastres')), + 'KES': (('xiling', 'xílings'), ('cèntim', 'cèntims')), + 'KGS': (('som', 'som'), ('tyiyn', 'tyiyn')), + 'KHR': (('riel', 'riels'), ('cèntim', 'cèntims')), + 'KMF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'KWD': (('dinar', 'dinars'), ('fils', 'fils')), + 'KYD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'LAK': (('kip', 'kips'), ('at', 'at')), + 'LBP': (('lliura', 'lliures'), ('piastra', 'piastres')), + 'LKR': (('rúpia', 'rúpies'), ('cèntim', 'cèntims')), + 'LRD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'LSL': (('loti', 'maloti'), ('sente', 'lisente')), + 'LTL': (('lita', 'litai'), ('cèntim', 'cèntims')), + 'LYD': (('dinar', 'dinars'), ('dírham', 'dírhams')), + 'MAD': (('dírham', 'dirhams'), ('cèntim', 'cèntims')), + 'MDL': (('leu', 'lei'), ('ban', 'bani')), + 'MGA': (('ariary', 'ariary'), ('iraimbilanja', 'iraimbilanja')), + 'MKD': (('denar', 'denari'), ('deni', 'deni')), + 'MMK': (('kyat', 'kyats'), ('pya', 'pyas')), + 'MNT': (('tögrög', 'tögrög'), ('möngö', 'möngö')), + 'MOP': (('pataca', 'pataques'), ('avo', 'avos')), + 'MRO': (('ouguiya', 'ouguiya'), ('khoums', 'khoums')), + 'MRU': (('ouguiya', 'ouguiya'), ('khoums', 'khoums')), + 'MUR': (('rupia', 'rúpies'), ('cèntim', 'cèntims')), + 'MVR': (('rufiyaa', 'rufiyaa'), ('laari', 'laari')), + 'MWK': (('kwacha', 'kwacha'), ('tambala', 'tambala')), + 'MYR': (('ringgit', 'ringgits'), ('sen', 'sens')), + 'MZN': (('metical', 'meticals'), GENERIC_CENTS), + 'NAD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'NGN': (('naira', 'naires'), ('kobo', 'kobos')), + 'NPR': (('rupia', 'rupies'), ('paisa', 'paises')), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': (('rial', 'rials'), ('baisa', 'baisa')), + 'PAB': (GENERIC_DOLLARS, ('centésimo', 'centésimos')), + 'PGK': (('kina', 'kina'), ('toea', 'toea')), + 'PHP': (('peso', 'pesos'), GENERIC_CENTS), + 'PKR': (('rupia', 'rupies'), ('paisa', 'paise')), + 'PLZ': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'PYG': (('guaraní', 'guaranís'), ('cèntim', 'cèntims')), + 'QAR': (('rial', 'rials'), ('dírham', 'dírhams')), + 'QTQ': (('quetzal', 'quetzals'), GENERIC_CENTS), + 'RSD': (('dinar', 'dinars'), ('para', 'para')), + 'RUR': (('ruble', 'rubles'), ('copec', 'copecs')), + 'RWF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'SAR': (('riyal', 'riyals'), ('hàl·lala', 'hàl·lalat')), + 'SBD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SCR': (('rupia', 'rupies'), ('cèntim', 'cèntims')), + 'SDG': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'SGD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SHP': (('lliura', 'lliures'), ('penic', 'penics')), + 'SLL': (('leonE', 'leones'), ('cèntim', 'cèntims')), + 'SRD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SSP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'STD': (('dobra', 'dobrAs'), ('cèntim', 'cèntims')), + 'SVC': (('colón', 'colons'), GENERIC_CENTS), + 'SYP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'SZL': (('lilangeni', 'emalangeni'), ('cèntim', 'cèntims')), + 'TJS': (('somoni', 'somoni'), ('diram', 'diram')), + 'TMT': (('manat', 'manats'), ('teňňesi', 'teňňesi')), + 'TND': (('dinar', 'dinars'), ('mil·lim', 'mil·limat')), + 'TOP': (('paanga', 'paangas'), ('seniti', 'seniti')), + 'TTD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'TWD': (('nou dòlar', 'nous dòlars'), ('fen', 'fen')), + 'TZS': (('xíling', 'xílings'), ('cèntim', 'cèntims')), + 'UGX': (('xíling', 'xílings'), ('cèntim', 'cèntims')), + 'UYU': (('peso', 'pesos'), ('centèsim', 'centèsims')), + 'UZS': (('som', 'som'), ('tiyin', 'tiyin')), + 'VND': (('dong', 'dongs'), ('xu', 'xu')), + 'VUV': (('vatu', 'vatus'), ('cèntim', 'cèntims')), + 'WST': (('tala', 'tala'), ('sene', 'sene')), + 'XAF': (('franc CFA', 'francs CFA'), ('cèntim', 'cèntims')), + 'XCD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'XOF': (('franc CFA', 'francs CFA'), ('cèntim', 'cèntims')), + 'XPF': (('franc CFP', 'francs CFP'), ('cèntim', 'cèntims')), + 'YER': (('rial', 'rials'), ('fils', 'fils')), + 'YUM': (('dinar', 'dinars'), ('para', 'para')), + 'ZMW': (('kwacha', 'kwacha'), ('ngwee', 'ngwee')), + 'ZWL': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'ZWL': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "ilió" + + def setup(self): + lows = ["quadr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menys " + self.pointword = "punt" + self.errmsg_nonnum = "type(%s) no és [long, int, float]" + self.errmsg_floatord = "El float %s no pot ser tractat com un" \ + " ordinal." + self.errmsg_negord = "El número negatiu %s no pot ser tractat" \ + " com un ordinal." + self.errmsg_toobig = "abs(%s) ha de ser inferior a %s." + self.gender_stem = "è" + self.exclude_title = ["i", "menys", "punt"] + + self.mid_numwords = [ + (1000, "mil"), + (100, "cent"), + (90, "noranta"), + (80, "vuitanta"), + (70, "setanta"), + (60, "seixanta"), + (50, "cinquanta"), + (40, "quaranta"), + (30, "trenta"), + ] + self.low_numwords = [ + "vint-i-nou", + "vint-i-vuit", + "vint-i-set", + "vint-i-sis", + "vint-i-cinc", + "vint-i-quatre", + "vint-i-tres", + "vint-i-dos", + "vint-i-un", + "vint", + "dinou", + "divuit", + "disset", + "setze", + "quinze", + "catorze", + "tretze", + "dotze", + "onze", + "deu", + "nou", + "vuit", + "set", + "sis", + "cinc", + "quatre", + "tres", + "dos", + "un", + "zero", + ] + self.mid_num = { + 1000: "mil", + 100: "cent", + 90: "noranta", + 80: "vuitanta", + 70: "setanta", + 60: "seixanta", + 50: "cinquanta", + 40: "quaranta", + 30: "trenta", + 20: "vint", + 10: "deu", + } + self.low_num = { + 0: "zero", + 1: "un", + 2: "dos", + 3: "tres", + 4: "quatre", + 5: "cinc", + 6: "sis", + 7: "set", + 8: "vuit", + 9: "nou", + 10: "deu", + 11: "onze", + 12: "dotze", + 13: "tretze", + 14: "catorze", + 15: "quinze", + 16: "setze", + 17: "disset", + 18: "divuit", + 19: "dinou", + 20: "vint", + 21: "vint-i-un", + 22: "vint-i-dos", + 23: "vint-i-tres", + 24: "vint-i-quatre", + 25: "vint-i-cinc", + 26: "vint-i-sis", + 27: "vint-i-set", + 28: "vint-i-vuit", + 29: "vint-i-nou", + } + self.ords = { + 1: "primer", + 2: "segon", + 3: "tercer", + 4: "quart", + 5: "cinqu", + 6: "sis", + 7: "set", + 8: "vuit", + 9: "nov", + 10: "des", + 11: "onz", + 12: "dotz", + 13: "tretz", + 14: "catorz", + 15: "quinz", + 16: "setz", + 17: "disset", + 18: "divuit", + 19: "dinov", + 20: "vint", + 30: "trent", + 40: "quarant", + 50: "cinquant", + 60: "seixant", + 70: "setant", + 80: "vuitant", + 90: "norant", + 100: "cent", + 200: "dos-cent", + 300: "tres-cent", + 400: "quatre-cent", + 500: "cinc-cent", + 600: "sis-cent", + 700: "set-cent", + 800: "vuit-cent", + 900: "nou-cent", + 1e3: "mil", + 1e6: "milion", + 1e9: "mil milion", + 1e12: "bilion", + 1e15: "mil bilion", + } + + self.ords_2 = {1: "1r", 2: "2n", 3: "3r", 4: "4t"} + self.ords_3 = { + 1: "unè", + 2: "dosè", + 3: "tresè", + 4: "quatrè", + 5: "cinquè", + 6: "sisè", + 7: "setè", + 8: "vuitè", + 9: "novè", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if cnum == 1: + if nnum < 1000000: + return next + ctext = "un" + + if nnum < cnum: + if cnum < 100: + return "%s-%s" % (ctext, ntext), cnum + nnum + elif nnum == 1: + return "%s %s" % (ctext, ntext), cnum + nnum + elif cnum == 100: + return "%s %s" % (ctext, ntext), cnum + nnum + else: + return "%s %s" % (ctext, ntext), cnum + nnum + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-3] + "lions" + if nnum == 100: + ntext += "s" + ctext += "-" + else: + ntext = " " + ntext + return (ctext + ntext, cnum * nnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 0: + text = "" + elif value < 5: + text = self.ords[value] + elif value <= 20: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value <= 30: + frac = value % 10 + text = "%s%s%s" % (self.ords[20], "-i-", self.ords_3[frac]) + elif value < 100: + dec = (value // 10) * 10 + text = "%s%s%s%s" % (self.ords[dec], "a", + "-", self.ords_3[value - dec]) + elif value == 1e2: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value < 2e2: + cen = (value // 100) * 100 + text = "%s %s" % (self.ords[cen], self.to_ordinal(value - cen)) + elif value < 1e3: + cen = (value // 100) * 100 + text = "%s%s %s" % (self.ords[cen], "s", + self.to_ordinal(value - cen)) + elif value == 1e3: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value < 1e6: + dec = 1000 ** int(math.log(int(value), 1000)) + high_part, low_part = divmod(value, dec) + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = "%s %s %s" % (cardinal, self.ords[dec], + self.to_ordinal(low_part)) + elif value < 1e18: + dec = 1000 ** int(math.log(int(value), 1000)) + high_part, low_part = divmod(value, dec) + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = "%s%s%s %s" % (cardinal, self.ords[dec], + self.gender_stem, self.to_ordinal(low_part)) + else: + part1 = self.to_cardinal(value) + text = "%s%s" % (part1[:-1], "onè") + return text.strip() + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + if value not in self.ords_2: + return "%s%s" % (value, "è" if self.gender_stem == "è" else "a") + else: + return self.ords_2[value] + + def to_currency(self, val, currency="EUR", cents=True, + separator=" amb", adjective=False): + result = super(Num2Word_CA, self).to_currency( + val, currency=currency, cents=cents, + separator=separator, adjective=adjective + ) + list_result = result.split(separator + " ") + + if currency in CURRENCIES_UNA: + list_result[0] = list_result[0].replace("un", "una") + list_result[0] = list_result[0].replace("dos", "dues") + list_result[0] = list_result[0].replace("cents", "centes") + + list_result[0] = list_result[0].replace("vint-i-un", "vint-i-un") + list_result[0] = list_result[0].replace(" i un", "-un") + list_result[0] = list_result[0].replace("un", "un") + + if currency in CENTS_UNA: + list_result[1] = list_result[1].replace("un", "una") + list_result[1] = list_result[1].replace("dos", "dues") + + list_result[1] = list_result[1].replace("vint-i-un", "vint-i-una") + + list_result[1] = list_result[1].replace("un", "un") + + result = (separator + " ").join(list_result) + + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_CE.py b/ext/py/num2words/build/lib/num2words/lang_CE.py new file mode 100644 index 0000000..abf8e5f --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_CE.py @@ -0,0 +1,522 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2023, Johannes Heinecke. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .currency import parse_currency_parts +from .lang_EU import Num2Word_EU + +# Chechen numbers inflect in case if without noun or +# use a special oblique ending when followed by a counted noun +# 4, 14, 40 and composites thereof agree in class (gender) with the +# noun. Chechen has 6 classes which are indicated by the initial +# letter of 4, 14 and 40. By default it is "д" but +# it can also be "б", "й" or "в". +# Indicate the needed class prefix as follows +# num2words(4, lang='ce', case="abs", clazz="б") + + +CARDINALS = { + "casenames": { + "abs": "Им.", + "gen": "Род.", + "dat": "Дат.", + "erg": "Эрг;", + "instr": "Твор.", + "mat": "Вещ.", + "comp": "Сравнит.", + "all": "Местн.", + }, + "casesuffix_cons": { # to be added to numerals with final consonant + "gen": "аннан", + "dat": "анна", + "erg": "амма", + "instr": "анца", + "mat": "аннах", + "comp": "аннал", + "all": "анга", + "obl": "ан", + "ORD": "алгӀа", + }, + "casesuffix_voc": { # to be added to numerals with final vowel + "gen": "ннан", + "dat": "нна", + "erg": "мма", + "instr": "нца", + "mat": "ннах", + "comp": "ннал", + "all": "нга", + "obl": "н", + "ORD": "лгӀа", + }, + 0: { + "attr": "ноль", + "abs": "ноль", + "gen": "нолан", + "dat": "нолана", + "erg": "ноло", + "instr": "ноланца", + "mat": "ноланах", + "comp": "ноланал", + "all": "ноланга", + }, + 1: { + "attr": "цхьа", # in front of nouns in ABS + "obl": "цхьана", # with nouns in other cases than ABS + "abs": "цхьаъ", + "gen": "цхьаннан", + "dat": "цхьанна", + "erg": "цхьамма", + "instr": "цхьаьнца", + "mat": "цхьаннах", + "comp": "цхьаннал", + "all": "цхаьнга", + "ORD": "цхьалгӀа", + }, + 2: { + "attr": "ши", # in front of 100, 1000 + "obl": "шина", + "abs": "шиъ", + "gen": "шиннан", + "dat": "шинна", + "erg": "шимма", + "instr": "шинца", + "mat": "шиннах", + "comp": "шиннал", + "all": "шинга", + "ORD": "шолгӀа", + }, + 3: { + "attr": "кхо", + "obl": "кхона", + "abs": "кхоъ", + "gen": "кхааннан", + "dat": "кхаанна", + "erg": "кхаамма", + "instr": "кхаанца", + "mat": "кхааннах", + "comp": "кхааннал", + "all": "кхаанга", + "ORD": "кхоалгӀа", + }, + 4: { + "attr": "д*и", + "obl": "д*еа", + "abs": "д*иъ", + "gen": "д*еаннан", + "dat": "д*еанна", + "erg": "д*еамма", + "instr": "д*еанца", + "mat": "д*еаннах", + "comp": "д*еаннал", + "all": "д*еанга", + "ORD": "д*оьалгӀа", + }, + 5: { + "attr": "пхи", + "obl": "пхеа", + "abs": "пхиъ", + "gen": "пхеаннан", + "dat": "пхеанна", + "erg": "пхеамма", + "instr": "нхеанца", + "mat": "пхеаннах", + "comp": "пхеаннал", + "all": "пхеанга", + "ORD": "пхоьалгӀа", + }, + 6: { + "abs": "ялх", + "attr": "ялх", + "ORD": "йолхалгӀа", + }, + 7: { + "abs": "ворхӀ", + "attr": "ворхӀ", + "ORD": "ворхӀалгӀа", + }, + 8: { + "abs": "бархӀ", + "attr": "бархӀ", + "ORD": "борхӀалӀа", + }, + 9: { + "abs": "исс", + "attr": "исс", + "ORD": "уьссалгӀа", + }, + 10: { + "attr": "итт", + "abs": "итт", + "gen": "иттаннан", + "dat": "иттанна", + "erg": "иттамма", + "instr": "иттанца", + "mat": "иттаннах", + "comp": "иттаннал", + "all": "иттанга", + "ORD": "уьтталгӀа", + }, + 11: { + "abs": "цхьайтта", + "attr": "цхьайтта", + "ORD": "цхьайтталгӀа", + }, + 12: { + "abs": "шийтта", + "attr": "шийтта", + "ORD": "шийтталга", + }, + 13: { + "abs": "кхойтта", + "attr": "кхойтта", + "ORD": "кхойтталгӀа", + }, + 14: { + "abs": "д*ейтта", + "attr": "д*ейтта", + "ORD": "д*ейтталгӀа", + }, + 15: { + "abs": "пхийтта", + "attr": "пхийтта", + "ORD": "пхийтталгӀа", + }, + 16: { + "abs": "ялхитта", + "attr": "ялхитта", + "ORD": "ялхитталгӀа", + }, + 17: { + "abs": "вуьрхӀитта", + "attr": "вуьрхӀитта", + "ORD": "вуьрхӀитталгӀа", + }, + 18: { + "abs": "берхӀитта", + "attr": "берхӀитта", + "ORD": "берхитталӀа", + }, + 19: { + "abs": "ткъайесна", + "attr": "ткъайесна", + "ORD": "ткъаесналгӀа", + }, + 20: { + "abs": "ткъа", + "gen": "ткъаннан", + "dat": "ткъанна", + "erg": "ткъамма", + "instr": "ткъанца", + "mat": "ткъаннах", + "comp": "ткъаннал", + "all": "ткъанга", + "attr": "ткъе", + "ORD": "ткъолгӀа", + }, + 40: { + "abs": "шовзткъа", + "attr": "шовзткъе", + "ORD": "шовзткъалгІа", + }, + 60: { + "abs": "кхузткъа", + "attr": "кхузткъе", + "ORD": "кхузткъалгІа", + }, + 80: { + "abs": "дезткъа", + "attr": "дезткъе", + "ORD": "дезткъалгІа", + }, + 100: { + "attr": "бӀе", + "abs": "бӀе", + "obl": "бӀен", + "gen": "бӀеннан", + "dat": "бӀенна", + "erg": "бӀемма", + "instr": "бӀенца", + "mat": "бӀеннах", + "comp": "бӀеннал", + "all": "бӀенга", + "ORD": "бІолгІа", + }, + 1000: { + "attr": "эзар", + "abs": "эзар", + "obl": "эзаран", + "gen": "эзарнан", + "dat": "эзарна", + "erg": "эзарно", + "instr": "эзарнаца", + "mat": "эзарнах", + "comp": "эзарнал", + "all": "эзаранга", + "ORD": "эзарлагІа", + }, + 1000000: { + "attr": "миллион", + "abs": "миллион", + "ORD": "миллионалгІа", + }, +} + +ILLIONS = { + 6: { + "attr": "миллион", + "abs": "миллион", + "ORD": "миллионалгІа", + }, + 9: { + "attr": "миллиард", + "abs": "миллиард", + "ORD": "миллиардалгІа", + }, + 12: { + "attr": "биллион", + "abs": "биллион", + "ORD": "биллионалгІа", + }, + 15: { + "attr": "биллиард", + "abs": "биллиард", + "ORD": "биллиардалгІа", + }, + 18: { + "attr": "триллион", + "abs": "триллион", + "ORD": "триллионалгІа", + }, + 21: { + "attr": "триллиард", + "abs": "триллиард", + "ORD": "триллиардалгІа", + }, + 24: { + "attr": "квадриллион", + "abs": "квадриллион", + "ORD": "квадриллионалгІа", + }, + 27: { + "attr": "квадриллиард", + "abs": "квадриллиард", + "ORD": "квадриллиардалгІа", + }, + 30: { + "attr": "квинтиллион", + "abs": "квинтиллион", + "ORD": "квинтиллионалгІа", + }, + 33: { + "attr": "квинтиллиард", + "abs": "квинтиллиард", + "ORD": "квинтиллиардалгІа", + }, +} + + +MINUS = "минус" +# DECIMALPOINT = "запятая" # check ! +DECIMALPOINT = "а" + + +class Num2Word_CE(Num2Word_EU): + CURRENCY_FORMS = { + # currency code: (sg, pl), (sg, pl) + "EUR": (("Евро", "Евро"), ("Сент", "Сенташ")), + "RUB": (("Сом", "Сомаш"), ("Кепек", "Кепекаш")), + "USD": (("Доллар", "Доллараш"), ("Сент", "Сенташ")), + "GBP": (("Фунт", "Фунташ"), ("Пенни", "Пенни")), + } + + def setup(self): + Num2Word_EU.setup(self) + self.negword = "минус" + self.pointword = "запятая" # check ! + # self.errmsg_nonnum = ( + # u"Seulement des nombres peuvent être convertis en mots." + # ) + # self.errmsg_toobig = ( + # u"Nombre trop grand pour être converti en mots (abs(%s) > %s)." + # ) + # self.exclude_title = ["et", "virgule", "moins"] + self.mid_numwords = [] + self.low_numwords = [] + self.ords = {} + + def to_ordinal(self, number, clazz="д"): + # implement here your code. number is the integer to + # be transformed into an ordinal as a word (str) + # which is returned + return self.to_cardinal(number, clazz=clazz, case="ORD") + + def to_cardinal(self, number, clazz="д", case="abs"): + if isinstance(number, float): + entires = self.to_cardinal(int(number)) + float_part = str(number).split(".")[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return entires + " " + DECIMALPOINT + " " + postfix + + elif number < 20: + return self.makecase(number, case, clazz) + elif number < 100: + twens = number // 20 + units = number % 20 + base = twens * 20 + if units == 0: + return self.makecase(number, case, clazz) + else: + twenties = self.makecase(base, "attr", clazz) + rest = self.to_cardinal(units, clazz=clazz, case=case) + return twenties + " " + rest.replace("д*", clazz) + elif number < 1000: + hundreds = number // 100 + tens = number % 100 + if hundreds > 1: + hundert = ( + CARDINALS[hundreds]["attr"].replace("д*", clazz) + " " + ) + else: + hundert = "" + if tens != 0: + rest = self.to_cardinal(tens, clazz=clazz, case=case) + return hundert + CARDINALS[100]["abs"] + " " + rest + else: + return hundert + self.makecase(100, case, clazz) + elif number < 1000000: + thousands = number // 1000 + hundert = number % 1000 + if hundert > 0: + tcase = "attr" + else: + tcase = case + if thousands > 1: + tausend = ( + self.to_cardinal(thousands, clazz=clazz, case="attr") + + " " + + CARDINALS[1000][tcase] + ) + else: + tausend = self.makecase(1000, tcase, clazz) + + if hundert != 0: + rest = " " + self.to_cardinal(hundert, clazz=clazz, case=case) + else: + rest = "" + return tausend + rest + + elif number < 10**34: + out = [] + for pot in reversed([6, 9, 12, 15, 18, 21, 24, 27, 30, 33]): + # 3 digits of billion, trillion etc + step = number // 10**pot % 1000 + if step > 0: + words = self.to_cardinal(step, clazz=clazz, case="attr") + out.append(words + " " + ILLIONS[pot]["attr"]) + rest = number % 10**6 + if rest: + out.append(self.to_cardinal(rest, clazz=clazz, case=case)) + return " ".join(out) + + return "NOT IMPLEMENTED" + + def _money_verbose(self, number, currency, case): + mcase = "attr" + if case != "abs": + mcase = "obl" + return self.to_cardinal(number, case=mcase) + + def _cents_verbose(self, number, currency, case): + mcase = "attr" + if case != "abs": + mcase = "obl" + return self.to_cardinal(number, case=mcase) + + def to_currency( + self, + val, + currency="RUB", + cents=True, + separator=",", + adjective=False, + case="abs", + ): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + devise = cr1[0] + centime = cr2[0] + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' + % (currency, self.__class__.__name__) + ) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency, case) + cents_str = ( + self._cents_verbose(right, currency, case) + if cents + else self._cents_terse(right, currency) + ) + + return "%s%s %s%s %s %s" % ( + minus_str, + money_str, + devise, # always singular + separator, + cents_str, + centime, + ) + + def to_ordinal_num(self, number): + self.verify_ordinal(number) + return str(number) + "-й" + + def to_year(self, year, case="abs"): + return self.to_cardinal(year, case=case) + + def makecase(self, number, case, clazz): + # print("ZZZZ", number, CARDINALS[number]) + if case in CARDINALS[number]: + return CARDINALS[number][case].replace("д*", clazz) + else: + if CARDINALS[number]["abs"][-1] in "а": + return ( + CARDINALS[number]["abs"].replace("д*", clazz) + + CARDINALS["casesuffix_voc"][case] + ) + else: + return ( + CARDINALS[number]["abs"].replace("д*", clazz) + + CARDINALS["casesuffix_cons"][case] + ) diff --git a/ext/py/num2words/build/lib/num2words/lang_CS.py b/ext/py/num2words/build/lib/num2words/lang_CS.py new file mode 100644 index 0000000..6024b77 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_CS.py @@ -0,0 +1,157 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jedna',), + 2: ('dva',), + 3: ('tři',), + 4: ('čtyři',), + 5: ('pět',), + 6: ('šest',), + 7: ('sedm',), + 8: ('osm',), + 9: ('devět',), +} + +TENS = { + 0: ('deset',), + 1: ('jedenáct',), + 2: ('dvanáct',), + 3: ('třináct',), + 4: ('čtrnáct',), + 5: ('patnáct',), + 6: ('šestnáct',), + 7: ('sedmnáct',), + 8: ('osmnáct',), + 9: ('devatenáct',), +} + +TWENTIES = { + 2: ('dvacet',), + 3: ('třicet',), + 4: ('čtyřicet',), + 5: ('padesát',), + 6: ('šedesát',), + 7: ('sedmdesát',), + 8: ('osmdesát',), + 9: ('devadesát',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvěstě',), + 3: ('třista',), + 4: ('čtyřista',), + 5: ('pětset',), + 6: ('šestset',), + 7: ('sedmset',), + 8: ('osmset',), + 9: ('devětset',), +} + +THOUSANDS = { + 1: ('tisíc', 'tisíce', 'tisíc'), # 10^3 + 2: ('milion', 'miliony', 'milionů'), # 10^6 + 3: ('miliarda', 'miliardy', 'miliard'), # 10^9 + 4: ('bilion', 'biliony', 'bilionů'), # 10^12 + 5: ('biliarda', 'biliardy', 'biliard'), # 10^15 + 6: ('trilion', 'triliony', 'trilionů'), # 10^18 + 7: ('triliarda', 'triliardy', 'triliard'), # 10^21 + 8: ('kvadrilion', 'kvadriliony', 'kvadrilionů'), # 10^24 + 9: ('kvadriliarda', 'kvadriliardy', 'kvadriliard'), # 10^27 + 10: ('quintillion', 'quintilliony', 'quintillionů'), # 10^30 +} + + +class Num2Word_CS(Num2Word_Base): + CURRENCY_FORMS = { + 'CZK': ( + ('koruna', 'koruny', 'korun'), ('halíř', 'halíře', 'haléřů') + ), + 'EUR': ( + ('euro', 'euro', 'euro'), ('cent', 'centy', 'centů') + ), + } + + def setup(self): + self.negword = "mínus" + self.pointword = "celá" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 5 > n % 10 > 1 and (n % 100 < 10 or n % 100 > 20): + form = 1 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/build/lib/num2words/lang_CY.py b/ext/py/num2words/build/lib/num2words/lang_CY.py new file mode 100644 index 0000000..e504512 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_CY.py @@ -0,0 +1,607 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2023, Johannes Heinecke. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .currency import parse_currency_parts +from .lang_EU import Num2Word_EU + +# Welsh numerals differs to many other languages since the counted +# object does not follow the numeral but is inserted between +# e.g. "23 hours" is +# tri awr ar hugain +# 3 hour on twenty +# in addition to that some numeral trigger a mutation on the following word +# either another numeral or the counted object +# (https://en.wikipedia.org/wiki/Consonant_mutation#Welsh) +# e.g. "23 dogs" (aspirated mutation, c -> ch) +# tri chi ar hugain +# 3 dog on twenty +# but "22 dogs" (soft mutation, c -> g) +# dau gi ar hugain +# 2 dog on twenty +# and "24 dogs" (no mutation) +# pedwar ci ar hugain +# 4 dog on twenty +# (BTW, the counted word is always in singular when following a numeral) +# numerals are mutated as well +# e.g. "300" +# tri chant +# 3 hundred +# "200" +# dau gant +# 2 hundred +# "500" +# pump cant +# 5 hundreds +# the numerals for 2, 3 and 4 are different in function of gender (MASC, FEM) +# 2 cats +# dwy gath + +# 2 dogs +# dau gi + +# 2000 +# dwy fil + +# 3000 +# tair mil + +# to add the counted object in the correct position use +# num2words(17, lang="cy", counted="ci", gender="masc") +# num2words(17, lang="cy", counted="cath", gender="fem") +# if the number is > 99, use plural form of counted object +# num2words(117, lang="cy", counted="cathod", gender="fem") + + +# Globals +# ------- + +OBJ = "__OBJECT__" + +CARDINAL_WORDS = { + # masc, fem, triggers mutation + 0: [("dim", None), (OBJ, None)], + 1: [("un", None), (OBJ, None)], + 2: [("dau", "SM"), (OBJ, None)], + 3: [("tri", "AM"), (OBJ, None)], + 4: [("pedwar", None), (OBJ, None)], + 5: [("pump", None), (OBJ, None)], + 6: [("chwech", "AM"), (OBJ, None)], + 7: [("saith", None), (OBJ, None)], + 8: [("wyth", None), (OBJ, None)], + 9: [("naw", None), (OBJ, None)], + 10: [("deg", None), (OBJ, None)], + 11: [("un", None), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddeg", None), (OBJ, None)], + 13: [("tri", "AM"), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwar", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymtheg", None), (OBJ, None)], + 16: [("un", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("dau", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunaw", None), (OBJ, None)], + 19: [("pedwar", None), ("ar bymtheg", None)], +} + +CARDINAL_WORDS_FEM = { + # masc, fem, triggers mutation + 0: [("dim", None), (OBJ, None)], + 1: [("un", None), (OBJ, None)], + 2: [("dwy", "SM"), (OBJ, None)], + 3: [("tair", None), (OBJ, None)], + 4: [("pedair", None), (OBJ, None)], + 5: [("pump", None), (OBJ, None)], + 6: [("chwech", "AM"), (OBJ, None)], + 7: [("saith", None), (OBJ, None)], + 8: [("wyth", None), (OBJ, None)], + 9: [("naw", None), (OBJ, None)], + 10: [("deg", None), (OBJ, None)], + 11: [("un", None), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddeg", None), (OBJ, None)], + 13: [("tair", None), (OBJ, None), ("ar ddeg", None)], + 14: [("pedair", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymtheg", None), (OBJ, None)], + 16: [("un", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("dwy", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunaw", None), (OBJ, None)], + 19: [("pedair", None), ("ar bymtheg", None)], +} + +MILLION_WORDS = { + 3: ("mil", None), + 6: ("miliwn", None), + 9: ("biliwn", None), + 12: ("triliwn", None), + 15: ("cwadriliwn", None), + 18: ("cwintiliwn", None), + 21: ("secsttiliwn", None), + 24: ("septiliwn", None), + 27: ("octiliwn", None), + 30: ("noniliwn", None), + 33: ("dengiliwn", None), +} + +ORDINAL_WORDS = { + 0: [("dimfed", None), (OBJ, None)], + 1: [(OBJ, None), ("cyntaf", None)], + 2: [("ail", "SM"), (OBJ, None)], + 3: [("trydydd", None), (OBJ, None)], + 4: [("pedwerydd", None), (OBJ, None)], + 5: [("pumed", None), (OBJ, None)], + 6: [("chweched", None), (OBJ, None)], + 7: [("saithfed", None), (OBJ, None)], + 8: [("wythfed", None), (OBJ, None)], + 9: [("nawfed", None), (OBJ, None)], + 10: [("degfed", None), (OBJ, None)], + 11: [("unfed", "SM"), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddegfed", None), (OBJ, None)], + 13: [("trydydd", None), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwerydd", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymthegfed", None), (OBJ, None)], + 16: [("unfed", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("ail", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunawfed", None), (OBJ, None)], + 19: [("pedwerydd", None), (OBJ, None), ("ar bymtheg", None)], +} +ORDINAL_WORDS_FEM = { + 0: [("dimfed", None), (OBJ, None)], + 1: [(OBJ, None), ("gyntaf", None)], + 2: [("ail", "SM"), (OBJ, None)], + 3: [("trydedd", "SM"), (OBJ, None)], + 4: [("pedwaredd", "SM"), (OBJ, None)], + 5: [("pumed", None), (OBJ, None)], + 6: [("chweched", None), (OBJ, None)], + 7: [("saithfed", None), (OBJ, None)], + 8: [("wythfed", None), (OBJ, None)], + 9: [("nawfed", None), (OBJ, None)], + 10: [("degfed", None), (OBJ, None)], + 11: [("unfed", "SM"), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddegfed", None), (OBJ, None)], + 13: [("trydedd", "SM"), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwaredd", "SM"), (OBJ, None), ("ar ddeg", None)], + 15: [("pymthegfed", None), (OBJ, None)], + 16: [("unfed", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("ail", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunawfed", None), (OBJ, None)], + 19: [("pedwaredd", None), (OBJ, None), ("ar bymtheg", None)], +} + +# The script can extrapolate the missing numbers from the base forms. +STR_TENS = { + 1: [("ugain", None), (OBJ, None)], + 2: [("deugain", None), (OBJ, None)], + 3: [("trigain", None), (OBJ, None)], + 4: [("pedwar ugain", None), (OBJ, None)], +} + +ORD_STR_TENS = { + 1: [("ugainfed", None), (OBJ, None)], + 2: [("deugainfed", None), (OBJ, None)], + 3: [("trigainfed", None), (OBJ, None)], + 4: [("pedwar ugainfed", None), (OBJ, None)], +} + +STR_TENS_INFORMAL = { + 1: ("undeg", None), + 2: ("dauddeg", None), + 3: ("trideg", None), + 4: ("pedwardeg", None), + 5: ("pumdeg", None), + 6: ("chwedeg", None), + 7: ("saithdeg", None), + 8: ("wythdeg", None), + 9: ("nawdeg", None), +} + + +GENERIC_DOLLARS = ("dolar", "dolarau") +GENERIC_CENTS = ("ceiniog", "ceiniogau") + +CURRENCIES_FEM = ["GBP"] + + +class Num2Word_CY(Num2Word_EU): + CURRENCY_FORMS = { + # currency code: (sg, pl), (sg, pl) + # in Welsh a noun after a numeral is ALWAYS in the singular + "EUR": (("euro", "euros"), GENERIC_CENTS), + "USD": (GENERIC_DOLLARS, GENERIC_CENTS), + "GBP": (("punt", "punnoedd"), ("ceiniog", "ceiniogau")), + "CNY": (("yuan", "yuans"), ("ffen", "ffens")), + } + + MINUS_PREFIX_WORD = "meinws " + FLOAT_INFIX_WORD = " pwynt " + +# def setup(self): +# Num2Word_EU.setup(self) + + def __init__(self): + pass + + def float_to_words(self, float_number): + # if ordinal: + # prefix = self.to_ordinal(int(float_number)) + # else: + prefix = self.to_cardinal(int(float_number)) + float_part = str(float_number).split(".")[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return prefix + Num2Word_CY.FLOAT_INFIX_WORD + postfix + + def hundred_group( + self, number, informal=False, gender="masc", ordinal=False + ): + hundreds = number // 100 + until100 = number % 100 # 0 - 99 + # list group of number words and mutation info (for the following word) + result = ( + [] + ) + if gender == "fem": + CW = CARDINAL_WORDS_FEM + else: + if ordinal: + CW = ORDINAL_WORDS + else: + CW = CARDINAL_WORDS + + if hundreds > 0: + if hundreds > 1: + result.extend((CARDINAL_WORDS[hundreds])) + result.extend([("cant", None), (OBJ, None)]) + if until100: + if until100 in [ + 1, + 8, + 11, + 16, + 20, + 21, + 31, + 36, + 41, + 48, + 61, + 68, + 71, + 81, + 88, + 91, + ]: + result.append(("ac", None)) + else: + result.append(("a", "AM")) + if until100: + # if informal: + # pass + if not ordinal and until100 >= 50 and until100 <= 59: + units = number % 10 + if hundreds > 0: + if units == 0: + result.append(("hanner", None)) + elif units == 1: + result.extend([("hanner ac un", None), (OBJ, None)]) + else: + result.append(("hanner a", "AM")) + result.extend(CW[units]) + else: + if units == 0: + result.extend([("hanner cant", None), (OBJ, None)]) + elif units == 1: + result.extend( + [("hanner cant ac un", None), (OBJ, None)] + ) + else: + result.append(("hanner cant a", "AM")) + result.extend(CW[units]) + else: + if (number < 20 and number > 0) or ( + number == 0 and hundreds == 0 + ): + if gender == "fem": + result.extend(CARDINAL_WORDS_FEM[int(number)]) + else: + result.extend(CARDINAL_WORDS[int(number)]) + + else: + tens = until100 // 20 + units = number % 20 + if ordinal and units == 0: + degau = ORD_STR_TENS.get(tens) + else: + degau = STR_TENS.get(tens) + + if units != 0: + if tens > 1: + result.extend(CW[units]) + if degau: + result.append(("a", "AM")) + result.extend(degau) + else: + result.extend(CW[units]) + if degau: + result.append(("ar", "SM")) + result.extend(degau) + elif degau: + result.extend(degau) + return result + + def to_ordinal(self, number, informal=False, gender="masc"): + if number < 20: + return makestring(ORDINAL_WORDS[number]) + if number == 100: + return "canfed" + elif number > 100: + raise NotImplementedError("The given number is too large.") + + return self.to_cardinal( + number, informal=False, gender=gender, ordinal=True + ) + + def to_cardinal( + self, + number, + informal=False, + gender="masc", + ordinal=False, + counted=None, + raw=False, + ): + negative = False + if number < 0: + negative = True + number = -1 * number + if number == 0: + if raw: + return CARDINAL_WORDS[0] + else: + return makestring(CARDINAL_WORDS[0]) + elif not number < 999 * 10**33: + raise NotImplementedError("The given number is too large.") + + elif isinstance(number, float): + return self.float_to_words(number) + + # split in groups of 10**3 + # groups of three digits starting from right (units (1 - 999), + # thousands, millions, ...) + groups = ( + [] + ) + lowestgroup = ( + None # find the lowest group of 3 digits > 0 for the ordinals + ) + for pot in [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36]: + gr = (number % 10**pot) // 10 ** (pot - 3) + groups.append((gr, pot)) + if gr and not lowestgroup: + lowestgroup = gr + # print("groups", groups) + + result = [] + if negative: + result.append(("meinws", None)) + + for gr, pot in reversed(groups): + if gr: + # print("AAAA", gr, pot, gender) + if pot == 6: + g = "fem" # mil (1000) is feminine + elif pot == 3: + g = gender # units depend on the following noun + else: + g = "masc" # millions etc are masculine + # "mil" is feminine + if gr > 1 or pot == 3: + words = self.hundred_group( + gr, + informal=informal, + gender=g, + ordinal=ordinal and (lowestgroup == gr), + ) + result += words + # print(">>>> ", words) + if pot > 3: + result.append(MILLION_WORDS[pot - 3]) + if raw: + # need to be able trigger correct mutation on currencies + return result + else: + if number < 100: + return makestring(result, counted=counted) + else: + if counted: + result.extend([("o", "SM"), (counted, None)]) + return makestring(result) + + def to_currency( + self, val, currency="EUR", cents=True, separator=",", adjective=False + ): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' + % (currency, self.__class__.__name__) + ) + + # if adjective and currency in self.CURRENCY_ADJECTIVES: + # cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + cents_str = ( + self._cents_verbose(right, currency) + if cents + else self._cents_terse(right, currency) + ) + + if right == 0: + # no pence + return "%s%s" % ( + minus_str, + money_str, + # self.pluralize(right, cr2) + ) + elif left == 0: + # no pounds + return "%s%s" % ( + minus_str, + cents_str, + # self.pluralize(right, cr2) + ) + + return "%s%s%s %s" % ( + minus_str, + money_str, + # self.pluralize(left, cr1), + separator, + cents_str, + # self.pluralize(right, cr2) + ) + + def _money_verbose(self, number, currency): + # used in super().to_currency(), we need to add gender + # here for feminine currencies + # if currency in CURRENCIES_FEM: # always true in this context + if number > 100: + m = self.to_cardinal(number, gender="fem", raw=True) + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][0][1] + m.append(("o", "SM")) + m.append((c, None)) + # else: + # c = currency + # m.append((c, None)) + return makestring(m) + else: + # if number > 1: + m = self.to_cardinal(number, gender="fem", raw=True) + # elif number == 0: + # m = self.to_cardinal(number, gender="fem", raw=True) + # else: + # m = [(OBJ, None)] + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][0][0] + # else: + # c = currency + # print("eeeeeeeee", m) + # m.append((c, None)) + # print("fffffffff", m) + return makestring(m, counted=c) + # else: + # return self.to_cardinal(number, raw=True) + + def _cents_verbose(self, number, currency): + if number == 0: + return "" + # elif number > 100: + # m = self.to_cardinal(number, raw=True) + # # if currency in self.CURRENCY_FORMS: + # c = self.CURRENCY_FORMS[currency][0][1] + # m.append(("o", "SM")) + # m.append((c, None)) + # # else: + # # c = currency + # # m.append((c, None)) + # return makestring(m) + else: + if number > 1: + m = self.to_cardinal(number, raw=True) + else: + m = [(OBJ, None)] + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][1][0] + # else: + # c = currency + return makestring(m, counted=c) + + +def makestring(result, counted=None): + # concatenate numberwords with correct mutation + out = [] + lastmut = None + for w, mut in result: + if w == OBJ: + if not counted: + continue + else: + w = counted + counted = None # only first position + if lastmut: + out.append(mutate(w, lastmut)) + else: + out.append(w) + lastmut = mut + return " ".join(out) + + +def mutate(word, mutation): + # print("uuu", word, mutation) + if mutation == "SM": + return softmutation(word) + elif mutation == "AM": + return aspiratedmutation(word) + # return word # does not occur + + +def softmutation(word): + # print("SM<<<<%s>" % word) + if word[0] == "p" and word[1] != "h": + return "b" + word[1:] + elif word[0] == "t" and word[1] != "h": + return "d" + word[1:] + elif word[0] == "c" and word[1] != "h": + return "g" + word[1:] + elif word[0] == "b" or word[0] == "m": + return "f" + word[1:] + elif word[0] == "d" and word[1] != "d": + return "d" + word + elif word.startswith("ll"): + return word[1:] + elif word.startswith("rh"): + return "r" + word[2:] + elif word == "ugain": + return "hugain" + else: + return word + + +def aspiratedmutation(word): + if word[0] == "p" and word[1] != "h": + return "ph" + word[1:] + elif word[0] == "t" and word[1] != "h": + return "th" + word[1:] + elif word[0] == "c" and word[1] != "h": + return "ch" + word[1:] + else: + return word diff --git a/ext/py/num2words/build/lib/num2words/lang_DA.py b/ext/py/num2words/build/lib/num2words/lang_DA.py new file mode 100644 index 0000000..c660738 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_DA.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_DA(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illiarder" + MEGA_SUFFIX = "illioner" + + def setup(self): + super(Num2Word_DA, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["og", "komma", "minus"] + + self.mid_numwords = [(1000, "tusind"), (100, "hundrede"), + (90, "halvfems"), (80, "firs"), + (70, "halvfjerds"), (60, "treds"), + (50, "halvtreds"), (40, "fyrre"), (30, "tredive")] + self.low_numwords = ["tyve", "nitten", "atten", "sytten", + "seksten", "femten", "fjorten", "tretten", + "tolv", "elleve", "ti", "ni", "otte", + "syv", "seks", "fem", "fire", "tre", "to", + "et", "nul"] + self.ords = {"nul": "nul", + "et": "f\xf8rste", + "to": "anden", + "tre": "tredje", + "fire": "fjerde", + "fem": "femte", + "seks": "sjette", + "syv": "syvende", + "otte": "ottende", + "ni": "niende", + "ti": "tiende", + "elleve": "ellevte", + "tolv": "tolvte", + "tretten": "trett", + "fjorten": "fjort", + "femten": "femt", + "seksten": "sekst", + "sytten": "sytt", + "atten": "att", + "nitten": "nitt", + "tyve": "tyv"} + self.ordflag = False + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if next[1] == 100 or next[1] == 1000: + lst = list(next) + lst[0] = 'et' + lst[0] + next = tuple(lst) + + if cnum == 1: + if nnum < 10 ** 6 or self.ordflag: + return next + ctext = "en" + if nnum > cnum: + if nnum >= 10 ** 6: + ctext += " " + val = cnum * nnum + else: + if cnum >= 100 and cnum < 1000: + ctext += " og " + elif cnum >= 1000 and cnum <= 100000: + ctext += "e og " + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "en" + ntext, ctext = ctext, ntext + "og" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + self.ordflag = True + outword = self.to_cardinal(value) + self.ordflag = False + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + if value % 100 >= 30 and value % 100 <= 39 or value % 100 == 0: + outword += "te" + elif value % 100 > 12 or value % 100 == 0: + outword += "ende" + return outword + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + vaerdte = (0, 1, 5, 6, 11, 12) + if value % 100 >= 30 and value % 100 <= 39 or value % 100 in vaerdte: + return str(value) + "te" + elif value % 100 == 2: + return str(value) + "en" + return str(value) + "ende" + + def to_currency(self, val, longval=True): + if val // 100 == 1 or val == 1: + ret = self.to_splitnum(val, hightxt="kr", lowtxt="\xf8re", + jointxt="og", longval=longval) + return "en " + ret[3:] + return self.to_splitnum(val, hightxt="kr", lowtxt="\xf8re", + jointxt="og", longval=longval) + + def to_year(self, val, longval=True): + if val == 1: + return 'en' + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundrede", longval=longval) diff --git a/ext/py/num2words/build/lib/num2words/lang_DE.py b/ext/py/num2words/build/lib/num2words/lang_DE.py new file mode 100644 index 0000000..ad61b18 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_DE.py @@ -0,0 +1,157 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +import re + +from .lang_EU import Num2Word_EU + + +class Num2Word_DE(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('Euro', 'Euro'), ('Cent', 'Cent')), + 'GBP': (('Pfund', 'Pfund'), ('Penny', 'Pence')), + 'USD': (('Dollar', 'Dollar'), ('Cent', 'Cent')), + 'CNY': (('Yuan', 'Yuan'), ('Jiao', 'Fen')), + 'DEM': (('Mark', 'Mark'), ('Pfennig', 'Pfennig')), + } + + GIGA_SUFFIX = "illiarde" + MEGA_SUFFIX = "illion" + + def setup(self): + self.negword = "minus " + self.pointword = "Komma" + # "Cannot treat float %s as ordinal." + self.errmsg_floatord = ( + "Die Gleitkommazahl %s kann nicht in eine Ordnungszahl " + + "konvertiert werden." + ) + # "type(((type(%s)) ) not in [long, int, float]" + self.errmsg_nonnum = ( + "Nur Zahlen (type(%s)) können in Wörter konvertiert werden." + ) + # "Cannot treat negative num %s as ordinal." + self.errmsg_negord = ( + "Die negative Zahl %s kann nicht in eine Ordnungszahl " + + "konvertiert werden." + ) + # "abs(%s) must be less than %s." + self.errmsg_toobig = "Die Zahl %s muss kleiner als %s sein." + self.exclude_title = [] + + lows = ["Non", "Okt", "Sept", "Sext", "Quint", "Quadr", "Tr", "B", "M"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "okto", "novem"] + tens = ["dez", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "oktogint", "nonagint"] + self.high_numwords = ( + ["zent"] + self.gen_high_numwords(units, tens, lows) + ) + self.mid_numwords = [(1000, "tausend"), (100, "hundert"), + (90, "neunzig"), (80, "achtzig"), (70, "siebzig"), + (60, "sechzig"), (50, "f\xFCnfzig"), + (40, "vierzig"), (30, "drei\xDFig")] + self.low_numwords = ["zwanzig", "neunzehn", "achtzehn", "siebzehn", + "sechzehn", "f\xFCnfzehn", "vierzehn", "dreizehn", + "zw\xF6lf", "elf", "zehn", "neun", "acht", + "sieben", "sechs", "f\xFCnf", "vier", "drei", + "zwei", "eins", "null"] + self.ords = {"eins": "ers", + "drei": "drit", + "acht": "ach", + "sieben": "sieb", + "ig": "igs", + "ert": "erts", + "end": "ends", + "ion": "ions", + "nen": "ns", + "rde": "rds", + "rden": "rds"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum == 100 or nnum == 1000: + return ("ein" + ntext, nnum) + elif nnum < 10 ** 6: + return next + ctext = "eine" + + if nnum > cnum: + if nnum >= 10 ** 6: + if cnum > 1: + if ntext.endswith("e"): + ntext += "n" + else: + ntext += "en" + ctext += " " + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "ein" + ntext, ctext = ctext, ntext + "und" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value).lower() + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + + res = outword + "te" + + # Exception: "hundertste" is usually preferred over "einhundertste" + if res == "eintausendste" or res == "einhundertste": + res = res.replace("ein", "", 1) + # ... similarly for "millionste" etc. + res = re.sub(r'eine ([a-z]+(illion|illiard)ste)$', + lambda m: m.group(1), res) + # Ordinals involving "Million" etc. are written without a space. + # see https://de.wikipedia.org/wiki/Million#Sprachliches + res = re.sub(r' ([a-z]+(illion|illiard)ste)$', + lambda m: m.group(1), res) + + return res + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_currency(self, val, currency='EUR', cents=True, separator=' und', + adjective=False): + result = super(Num2Word_DE, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception, in german is "ein Euro" and not "eins Euro" + return result.replace("eins ", "ein ") + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundert", longval=longval)\ + .replace(' ', '') diff --git a/ext/py/num2words/build/lib/num2words/lang_EN.py b/ext/py/num2words/build/lib/num2words/lang_EN.py new file mode 100644 index 0000000..87ce02e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_EN.py @@ -0,0 +1,110 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_EN(lang_EU.Num2Word_EU): + def set_high_numwords(self, high): + max = 3 + 3 * len(high) + for word, n in zip(high, range(max, 3, -3)): + self.cards[10 ** n] = word + "illion" + + def setup(self): + super(Num2Word_EN, self).setup() + + self.negword = "minus " + self.pointword = "point" + self.exclude_title = ["and", "point", "minus"] + + self.mid_numwords = [(1000, "thousand"), (100, "hundred"), + (90, "ninety"), (80, "eighty"), (70, "seventy"), + (60, "sixty"), (50, "fifty"), (40, "forty"), + (30, "thirty")] + self.low_numwords = ["twenty", "nineteen", "eighteen", "seventeen", + "sixteen", "fifteen", "fourteen", "thirteen", + "twelve", "eleven", "ten", "nine", "eight", + "seven", "six", "five", "four", "three", "two", + "one", "zero"] + self.ords = {"one": "first", + "two": "second", + "three": "third", + "four": "fourth", + "five": "fifth", + "six": "sixth", + "seven": "seventh", + "eight": "eighth", + "nine": "ninth", + "ten": "tenth", + "eleven": "eleventh", + "twelve": "twelfth"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s and %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s, %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(" ") + lastwords = outwords[-1].split("-") + lastword = lastwords[-1].lower() + try: + lastword = self.ords[lastword] + except KeyError: + if lastword[-1] == "y": + lastword = lastword[:-1] + "ie" + lastword += "th" + lastwords[-1] = self.title(lastword) + outwords[-1] = "-".join(lastwords) + return " ".join(outwords) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-2:]) + + def to_year(self, val, suffix=None, longval=True): + if val < 0: + val = abs(val) + suffix = 'BC' if not suffix else suffix + high, low = (val // 100, val % 100) + # If year is 00XX, X00X, or beyond 9999, go cardinal. + if (high == 0 + or (high % 10 == 0 and low < 10) + or high >= 100): + valtext = self.to_cardinal(val) + else: + hightext = self.to_cardinal(high) + if low == 0: + lowtext = "hundred" + elif low < 10: + lowtext = "oh-%s" % self.to_cardinal(low) + else: + lowtext = self.to_cardinal(low) + valtext = "%s %s" % (hightext, lowtext) + return (valtext if not suffix + else "%s %s" % (valtext, suffix)) diff --git a/ext/py/num2words/build/lib/num2words/lang_EN_IN.py b/ext/py/num2words/build/lib/num2words/lang_EN_IN.py new file mode 100644 index 0000000..3ef55ba --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_EN_IN.py @@ -0,0 +1,26 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EN import Num2Word_EN + + +class Num2Word_EN_IN(Num2Word_EN): + def set_high_numwords(self, high): + self.cards[10 ** 7] = "crore" + self.cards[10 ** 5] = "lakh" diff --git a/ext/py/num2words/build/lib/num2words/lang_EN_NG.py b/ext/py/num2words/build/lib/num2words/lang_EN_NG.py new file mode 100644 index 0000000..7de81c8 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_EN_NG.py @@ -0,0 +1,37 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from . import lang_EN + + +class Num2Word_EN_NG(lang_EN.Num2Word_EN): + + CURRENCY_FORMS = {'NGN': (('naira', 'naira'), ('kobo', 'kobo'))} + + CURRENCY_ADJECTIVES = {'NGN': 'Nigerian'} + + def to_currency( + self, val, currency='NGN', + kobo=True, separator=',', + adjective=False + ): + result = super(Num2Word_EN_NG, self).to_currency( + val, currency=currency, cents=kobo, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_EO.py b/ext/py/num2words/build/lib/num2words/lang_EO.py new file mode 100644 index 0000000..ff47e69 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_EO.py @@ -0,0 +1,130 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2021, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_EO(Num2Word_Base): + CURRENCY_FORMS = { + "EUR": (("eŭro", "eŭroj"), ("centimo", "centimoj")), + "USD": (("dolaro", "dolaroj"), ("cendo", "cendoj")), + "FRF": (("franko", "frankoj"), ("centimo", "centimoj")), + "GBP": (("pundo", "pundoj"), ("penco", "pencoj")), + "CNY": (("juano", "juanoj"), ("feno", "fenoj")), + } + + GIGA_SUFFIX = "iliardo" + MEGA_SUFFIX = "iliono" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def gen_high_numwords(self, units, tens, lows): + out = [u + t for t in tens for u in units] + out.reverse() + return out + lows + + def setup(self): + lows = ["naŭ", "ok", "sep", "ses", "kvin", "kvar", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "kvatuor", + "kvin", "seks", "septen", "okto", "novem"] + tens = ["dek", "vigint", "trigint", "kvadragint", "kvinkvagint", + "seksagint", "septuagint", "oktogint", "nonagint"] + + self.high_numwords = ["cent"] + self.gen_high_numwords(units, tens, + lows) + + self.negword = "minus " + self.pointword = "komo" + self.errmsg_nonnum = u"Sole nombroj povas esti konvertita en vortojn." + self.errmsg_toobig = ( + u"Tro granda nombro por esti konvertita en vortojn (abs(%s) > %s)." + ) + self.exclude_title = ["kaj", "komo", "minus"] + self.mid_numwords = [(1000, "mil"), (100, "cent"), (90, "naŭdek"), + (80, "okdek"), (70, "sepdek"), (60, "sesdek"), + (50, "kvindek"), (40, "kvardek"), (30, "tridek")] + self.low_numwords = ["dudek", "dek naŭ", "dek ok", "dek sep", + "dek ses", "dek kvin", "dek kvar", "dek tri", + "dek du", "dek unu", "dek", "naŭ", "ok", "sep", + "ses", "kvin", "kvar", "tri", "du", "unu", "nul"] + self.ords = { + "unu": "unua", + "du": "dua", + "tri": "tria", + "kvar": "kvara", + "kvin": "kvina", + "ses": "sesa", + "sep": "sepa", + "ok": "oka", + "naŭ": "naŭa", + "dek": "deka" + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if cnum == 1 and nnum < 1000000: + return next + + if nnum >= 10**6 and cnum > 1: + return ("%s %sj" % (ctext, ntext), cnum + nnum) + + if nnum == 100: + return ("%s%s" % (ctext, ntext), cnum + nnum) + + return ("%s %s" % (ctext, ntext), cnum + nnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + word = self.to_cardinal(value) + for src, repl in self.ords.items(): + if word.endswith(src): + word = word[:-len(src)] + repl + return word + + if word.endswith("o"): + word = word[:-1] + "a" + elif word.endswith("oj"): + word = word[:-2] + "a" + else: + word = word + "a" + return word + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + out = str(value) + out += "a" + return out + + def to_currency(self, val, currency="EUR", cents=True, separator=" kaj", + adjective=False): + result = super(Num2Word_EO, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result + + def pluralize(self, n, forms): + form = 0 if n <= 1 else 1 + return forms[form] diff --git a/ext/py/num2words/build/lib/num2words/lang_ES.py b/ext/py/num2words/build/lib/num2words/lang_ES.py new file mode 100644 index 0000000..ce1c9f8 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES.py @@ -0,0 +1,416 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +import math + +from .lang_EU import Num2Word_EU + +GENERIC_DOLLARS = ('dólar', 'dólares') +GENERIC_CENTS = ('centavo', 'centavos') +CURRENCIES_UNA = ('SLL', 'SEK', 'NOK', 'CZK', 'DKK', 'ISK', + 'SKK', 'GBP', 'CYP', 'EGP', 'FKP', 'GIP', + 'LBP', 'SDG', 'SHP', 'SSP', 'SYP', 'INR', + 'IDR', 'LKR', 'MUR', 'NPR', 'PKR', 'SCR', + 'ESP', 'TRY', 'ITL') +CENTS_UNA = ('EGP', 'JOD', 'LBP', 'SDG', 'SSP', 'SYP') + + +class Num2Word_ES(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('céntimo', 'céntimos')), + 'ESP': (('peseta', 'pesetas'), ('céntimo', 'céntimos')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'PEN': (('sol', 'soles'), ('céntimo', 'céntimos')), + 'CRC': (('colón', 'colones'), GENERIC_CENTS), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('libra', 'libras'), ('penique', 'peniques')), + 'RUB': (('rublo', 'rublos'), ('kopeyka', 'kopeykas')), + 'SEK': (('corona', 'coronas'), ('öre', 'öre')), + 'NOK': (('corona', 'coronas'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'leus'), ('ban', 'bani')), + 'INR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'HUF': (('florín', 'florines'), ('fillér', 'fillér')), + 'FRF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'CNY': (('yuan', 'yuanes'), ('fen', 'jiaos')), + 'CZK': (('corona', 'coronas'), ('haléř', 'haléř')), + 'NIO': (('córdoba', 'córdobas'), GENERIC_CENTS), + 'VES': (('bolívar', 'bolívares'), ('céntimo', 'céntimos')), + 'BRL': (('real', 'reales'), GENERIC_CENTS), + 'CHF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'JPY': (('yen', 'yenes'), ('sen', 'sen')), + 'KRW': (('won', 'wones'), ('jeon', 'jeon')), + 'KPW': (('won', 'wones'), ('chon', 'chon')), + 'TRY': (('lira', 'liras'), ('kuruş', 'kuruş')), + 'ZAR': (('rand', 'rands'), ('céntimo', 'céntimos')), + 'KZT': (('tenge', 'tenges'), ('tïın', 'tïın')), + 'UAH': (('hryvnia', 'hryvnias'), ('kopiyka', 'kopiykas')), + 'THB': (('baht', 'bahts'), ('satang', 'satang')), + 'AED': (('dirham', 'dirhams'), ('fils', 'fils')), + 'AFN': (('afghani', 'afghanis'), ('pul', 'puls')), + 'ALL': (('lek ', 'leke'), ('qindarkë', 'qindarka')), + 'AMD': (('dram', 'drams'), ('luma', 'lumas')), + 'ANG': (('florín', 'florines'), GENERIC_CENTS), + 'AOA': (('kwanza', 'kwanzas'), ('céntimo', 'céntimos')), + 'ARS': (('peso', 'pesos'), GENERIC_CENTS), + 'AWG': (('florín', 'florines'), GENERIC_CENTS), + 'AZN': (('manat', 'manat'), ('qəpik', 'qəpik')), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': (('taka', 'takas'), ('paisa', 'paisas')), + 'BGN': (('lev', 'leva'), ('stotinka', 'stotinki')), + 'BHD': (('dinar', 'dinares'), ('fils', 'fils')), + 'BIF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': (('boliviano', 'bolivianos'), GENERIC_CENTS), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': (('ngultrum', 'ngultrum'), ('chetrum', 'chetrum')), + 'BWP': (('pula', 'pulas'), ('thebe', 'thebes')), + 'BYN': (('rublo', 'rublos'), ('kópek', 'kópeks')), + 'BYR': (('rublo', 'rublos'), ('kópek', 'kópeks')), + 'BZD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'CDF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'CLP': (('peso', 'pesos'), GENERIC_CENTS), + 'COP': (('peso', 'pesos'), GENERIC_CENTS), + 'CUP': (('peso', 'pesos'), GENERIC_CENTS), + 'CVE': (('escudo', 'escudos'), GENERIC_CENTS), + 'CYP': (('libra', 'libras'), ('céntimo', 'céntimos')), + 'DJF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'DKK': (('corona', 'coronas'), ('øre', 'øre')), + 'DOP': (('peso', 'pesos'), GENERIC_CENTS), + 'DZD': (('dinar', 'dinares'), ('céntimo', 'céntimos')), + 'ECS': (('sucre', 'sucres'), GENERIC_CENTS), + 'EGP': (('libra', 'libras'), ('piastra', 'piastras')), + 'ERN': (('nakfa', 'nakfas'), ('céntimo', 'céntimos')), + 'ETB': (('birr', 'birrs'), ('céntimo', 'céntimos')), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': (('libra', 'libras'), ('penique', 'peniques')), + 'GEL': (('lari', 'laris'), ('tetri', 'tetris')), + 'GHS': (('cedi', 'cedis'), ('pesewa', 'pesewas')), + 'GIP': (('libra', 'libras'), ('penique', 'peniques')), + 'GMD': (('dalasi', 'dalasis'), ('butut', 'bututs')), + 'GNF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'GTQ': (('quetzal', 'quetzales'), GENERIC_CENTS), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': (('lempira', 'lempiras'), GENERIC_CENTS), + 'HRK': (('kuna', 'kunas'), ('lipa', 'lipas')), + 'HTG': (('gourde', 'gourdes'), ('céntimo', 'céntimos')), + 'IDR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'ILS': (('séquel', 'séqueles'), ('agora', 'agoras')), + 'IQD': (('dinar', 'dinares'), ('fils', 'fils')), + 'IRR': (('rial', 'riales'), ('dinar', 'dinares')), + 'ISK': (('corona', 'coronas'), ('eyrir', 'aurar')), + 'ITL': (('lira', 'liras'), ('céntimo', 'céntimos')), + 'JMD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'JOD': (('dinar', 'dinares'), ('piastra', 'piastras')), + 'KES': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'KGS': (('som', 'som'), ('tyiyn', 'tyiyn')), + 'KHR': (('riel', 'rieles'), ('céntimo', 'céntimos')), + 'KMF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'KWD': (('dinar', 'dinares'), ('fils', 'fils')), + 'KYD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'LAK': (('kip', 'kips'), ('att', 'att')), + 'LBP': (('libra', 'libras'), ('piastra', 'piastras')), + 'LKR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'LRD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'LSL': (('loti', 'lotis'), ('céntimo', 'céntimos')), + 'LTL': (('lita', 'litas'), ('céntimo', 'céntimos')), + 'LVL': (('lat', 'lats'), ('céntimo', 'céntimos')), + 'LYD': (('dinar', 'dinares'), ('dírham', 'dírhams')), + 'MAD': (('dírham', 'dirhams'), ('céntimo', 'céntimos')), + 'MDL': (('leu', 'lei'), ('ban', 'bani')), + 'MGA': (('ariary', 'ariaris'), ('iraimbilanja', 'iraimbilanja')), + 'MKD': (('denar', 'denares'), ('deni', 'denis')), + 'MMK': (('kiat', 'kiats'), ('pya', 'pyas')), + 'MNT': (('tugrik', 'tugriks'), ('möngö', 'möngö')), + 'MOP': (('pataca', 'patacas'), ('avo', 'avos')), + 'MRO': (('ouguiya', 'ouguiyas'), ('khoums', 'khoums')), + 'MRU': (('ouguiya', 'ouguiyas'), ('khoums', 'khoums')), + 'MUR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'MVR': (('rufiyaa', 'rufiyaas'), ('laari', 'laari')), + 'MWK': (('kuacha', 'kuachas'), ('tambala', 'tambalas')), + 'MYR': (('ringgit', 'ringgit'), ('céntimo', 'céntimos')), + 'MZN': (('metical', 'metical'), GENERIC_CENTS), + 'NAD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'NGN': (('naira', 'nairas'), ('kobo', 'kobo')), + 'NPR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': (('rial', 'riales'), ('baisa', 'baisa')), + 'PAB': (('balboa', 'balboas'), ('centésimo', 'centésimos')), + 'PGK': (('kina', 'kinas'), ('toea', 'toea')), + 'PHP': (('peso', 'pesos'), GENERIC_CENTS), + 'PKR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'PLZ': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'PYG': (('guaraní', 'guaranís'), ('céntimo', 'céntimos')), + 'QAR': (('rial', 'riales'), ('dírham', 'dírhams')), + 'QTQ': (('quetzal', 'quetzales'), GENERIC_CENTS), + 'RSD': (('dinar', 'dinares'), ('para', 'para')), + 'RUR': (('rublo', 'rublos'), ('kopek', 'kopeks')), + 'RWF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'SAR': (('riyal', 'riales'), ('halala', 'halalas')), + 'SBD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SCR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'SDG': (('libra', 'libras'), ('piastra', 'piastras')), + 'SGD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SHP': (('libra', 'libras'), ('penique', 'peniques')), + 'SKK': (('corona', 'coronas'), ('halier', 'haliers')), + 'SLL': (('leona', 'leonas'), ('céntimo', 'céntimos')), + 'SRD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SSP': (('libra', 'libras'), ('piastra', 'piastras')), + 'STD': (('dobra', 'dobras'), ('céntimo', 'céntimos')), + 'SVC': (('colón', 'colones'), GENERIC_CENTS), + 'SYP': (('libra', 'libras'), ('piastra', 'piastras')), + 'SZL': (('lilangeni', 'emalangeni'), ('céntimo', 'céntimos')), + 'TJS': (('somoni', 'somonis'), ('dirame', 'dirames')), + 'TMT': (('manat', 'manat'), ('tenge', 'tenge')), + 'TND': (('dinar', 'dinares'), ('milésimo', 'milésimos')), + 'TOP': (('paanga', 'paangas'), ('céntimo', 'céntimos')), + 'TTD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'TWD': (('nuevo dólar', 'nuevos dólares'), ('céntimo', 'céntimos')), + 'TZS': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'UAG': (('hryvnia', 'hryvnias'), ('kopiyka', 'kopiykas')), + 'UGX': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'UYU': (('peso', 'pesos'), ('centésimo', 'centésimos')), + 'UZS': (('sum', 'sum'), ('tiyin', 'tiyin')), + 'VEF': (('bolívar fuerte', 'bolívares fuertes'), + ('céntimo', 'céntimos')), + 'VND': (('dong', 'dongs'), ('xu', 'xu')), + 'VUV': (('vatu', 'vatu'), ('nenhum', 'nenhum')), + 'WST': (('tala', 'tala'), GENERIC_CENTS), + 'XAF': (('franco CFA', 'francos CFA'), ('céntimo', 'céntimos')), + 'XCD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'XOF': (('franco CFA', 'francos CFA'), ('céntimo', 'céntimos')), + 'XPF': (('franco CFP', 'francos CFP'), ('céntimo', 'céntimos')), + 'YER': (('rial', 'riales'), ('fils', 'fils')), + 'YUM': (('dinar', 'dinares'), ('para', 'para')), + 'ZMW': (('kwacha', 'kwachas'), ('ngwee', 'ngwee')), + 'ZRZ': (('zaire', 'zaires'), ('likuta', 'makuta')), + 'ZWL': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'ZWL': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + } + + # //CHECK: Is this sufficient?? + GIGA_SUFFIX = None + MEGA_SUFFIX = "illón" + + def setup(self): + lows = ["cuatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menos " + self.pointword = "punto" + self.errmsg_nonnum = "type(%s) no es [long, int, float]" + self.errmsg_floatord = "El float %s no puede ser tratado como un" \ + " ordinal." + self.errmsg_negord = "El número negativo %s no puede ser tratado" \ + " como un ordinal." + self.errmsg_toobig = ( + "abs(%s) deber ser inferior a %s." + ) + self.gender_stem = "o" + self.exclude_title = ["y", "menos", "punto"] + self.mid_numwords = [(1000, "mil"), (100, "cien"), (90, "noventa"), + (80, "ochenta"), (70, "setenta"), (60, "sesenta"), + (50, "cincuenta"), (40, "cuarenta"), + (30, "treinta")] + self.low_numwords = ["veintinueve", "veintiocho", "veintisiete", + "veintiséis", "veinticinco", "veinticuatro", + "veintitrés", "veintidós", "veintiuno", + "veinte", "diecinueve", "dieciocho", "diecisiete", + "dieciséis", "quince", "catorce", "trece", "doce", + "once", "diez", "nueve", "ocho", "siete", "seis", + "cinco", "cuatro", "tres", "dos", "uno", "cero"] + self.ords = {1: "primer", + 2: "segund", + 3: "tercer", + 4: "cuart", + 5: "quint", + 6: "sext", + 7: "séptim", + 8: "octav", + 9: "noven", + 10: "décim", + 20: "vigésim", + 30: "trigésim", + 40: "cuadragésim", + 50: "quincuagésim", + 60: "sexagésim", + 70: "septuagésim", + 80: "octogésim", + 90: "nonagésim", + 100: "centésim", + 200: "ducentésim", + 300: "tricentésim", + 400: "cuadrigentésim", + 500: "quingentésim", + 600: "sexcentésim", + 700: "septigentésim", + 800: "octigentésim", + 900: "noningentésim", + 1e3: "milésim", + 1e6: "millonésim", + 1e9: "billonésim", + 1e12: "trillonésim", + 1e15: "cuadrillonésim"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "un" + elif cnum == 100 and not nnum % 1000 == 0: + ctext += "t" + self.gender_stem + + if nnum < cnum: + if cnum < 100: + return "%s y %s" % (ctext, ntext), cnum + nnum + return "%s %s" % (ctext, ntext), cnum + nnum + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-3] + "lones" + + if nnum == 100: + if cnum == 5: + ctext = "quinien" + ntext = "" + elif cnum == 7: + ctext = "sete" + elif cnum == 9: + ctext = "nove" + ntext += "t" + self.gender_stem + "s" + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_ordinal(self, value, gender='m'): + gender_stem = 'a' if gender == 'f' else 'o' + + self.verify_ordinal(value) + if value == 0: + text = "" + elif value <= 10: + text = "%s%s" % (self.ords[value], gender_stem) + # According to RAE recommendations, simple forms are preferred up to 30 + # Ortography for sobreesdrújulas + elif value <= 29: + gender_stem = 'o' + dec = (value // 10) * 10 + text = ( + "%s%s%s" % (self.ords[dec].replace('é', 'e'), gender_stem, + self.to_ordinal(value % 10, gender)) + ) + elif value <= 100: + dec = (value // 10) * 10 + text = ( + "%s%s %s" % (self.ords[dec], gender_stem, + self.to_ordinal(value - dec, gender)) + ) + elif value <= 1e3: + cen = (value // 100) * 100 + text = ( + "%s%s %s" % (self.ords[cen], gender_stem, + self.to_ordinal(value - cen, gender)) + ) + elif value < 1e18: + # Round down to the nearest 1e(3n) + # dec contains the following: + # [ 1e3, 1e6): 1e3 + # [ 1e6, 1e9): 1e6 + # [ 1e9, 1e12): 1e9 + # [1e12, 1e15): 1e12 + # [1e15, 1e18): 1e15 + dec = 1000 ** int(math.log(int(value), 1000)) + + # Split the parts before and after the word for 'dec' + # eg (12, 345) = divmod(12_345, 1_000) + high_part, low_part = divmod(value, dec) + + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = ( + "%s%s%s %s" % (cardinal, self.ords[dec], gender_stem, + self.to_ordinal(low_part, gender=gender)) + ) + else: + text = self.to_cardinal(value) + # Handle exception: it's not "decimooctavo" but "decimoctavo" + return text.strip().replace('oo', 'o') + + def to_ordinal_num(self, value, gender='m'): + gender_stem = 'a' if gender == 'f' else 'o' + self.verify_ordinal(value) + return "%s%s" % (value, "º" if gender_stem == 'o' else "ª") + + def to_currency(self, val, currency='EUR', cents=True, separator=' con', + adjective=False): + result = super(Num2Word_ES, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception: In Spanish it's "un euro" and not "uno euro", + # except in these currencies, where it's "una": leona, corona, + # libra, lira, rupia, lempira, peseta. + # The same goes for "veintiuna", "treinta y una"... + # Also, this needs to be handled separately for "dollars" and + # "cents". + # All "cents" are masculine except for: piastra. + # Source: https://www.rae.es/dpd/una (section 2.2) + + # split "dollars" part from "cents" part + list_result = result.split(separator + " ") + + # "DOLLARS" PART (list_result[0]) + + # Feminine currencies ("una libra", "trescientas libras"...) + if currency in CURRENCIES_UNA: + + # "una libra", "veintiuna libras", "treinta y una libras"... + list_result[0] = list_result[0].replace("uno", "una") + + # "doscientas libras", "trescientas libras"... + list_result[0] = list_result[0].replace("cientos", "cientas") + + # Masc.: Correct orthography for the specific case of "veintiún": + list_result[0] = list_result[0].replace("veintiuno", "veintiún") + + # Masculine currencies: general case ("un euro", "treinta y un + # euros"...): + list_result[0] = list_result[0].replace("uno", "un") + + # "CENTS" PART (list_result[1]) + + # Feminine "cents" ("una piastra", "veintiuna piastras"...) + if currency in CENTS_UNA: + + # "una piastra", "veintiuna piastras", "treinta y una piastras"... + list_result[1] = list_result[1].replace("uno", "una") + + # Masc.: Correct orthography for the specific case of "veintiún": + list_result[1] = list_result[1].replace("veintiuno", "veintiún") + + # Masculine "cents": general case ("un centavo", "treinta y un + # centavos"...): + list_result[1] = list_result[1].replace("uno", "un") + + # join back "dollars" part with "cents" part + result = (separator + " ").join(list_result) + + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_ES_CO.py b/ext/py/num2words/build/lib/num2words/lang_ES_CO.py new file mode 100644 index 0000000..955ac7e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES_CO.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_CO(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="peso/s", lowtxt="centavo/s", + divisor=1, jointxt="y", longval=longval) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/build/lib/num2words/lang_ES_CR.py b/ext/py/num2words/build/lib/num2words/lang_ES_CR.py new file mode 100644 index 0000000..ee1d444 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES_CR.py @@ -0,0 +1,30 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2024, Randall Castro. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_CR(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="colón/es", lowtxt="céntimo/s", + divisor=1, jointxt="y", longval=longval) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/build/lib/num2words/lang_ES_GT.py b/ext/py/num2words/build/lib/num2words/lang_ES_GT.py new file mode 100644 index 0000000..9bc4c75 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES_GT.py @@ -0,0 +1,32 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_GT(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="quetzal/es", + lowtxt="centavo/s", + divisor=1, jointxt="y", + longval=longval) + # Handle exception, in spanish is "un euro" + # and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/build/lib/num2words/lang_ES_NI.py b/ext/py/num2words/build/lib/num2words/lang_ES_NI.py new file mode 100644 index 0000000..9e5f9e8 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES_NI.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_NI(Num2Word_ES): + CURRENCY_FORMS = { + 'NIO': (('córdoba', 'córdobas'), ('centavo', 'centavos')), + } + + def to_currency(self, val, currency='NIO', cents=True, separator=' con', + adjective=False): + result = super(Num2Word_ES, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result.replace("uno", "un") diff --git a/ext/py/num2words/build/lib/num2words/lang_ES_VE.py b/ext/py/num2words/build/lib/num2words/lang_ES_VE.py new file mode 100644 index 0000000..54100a0 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ES_VE.py @@ -0,0 +1,32 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_VE(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + hightxt = "bolívar/es" if old else "bolívar/es fuerte/s" + result = self.to_splitnum( + val, hightxt=hightxt, lowtxt="centavo/s", + divisor=1, jointxt="y", longval=longval + ) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/build/lib/num2words/lang_EU.py b/ext/py/num2words/build/lib/num2words/lang_EU.py new file mode 100644 index 0000000..8579fb6 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_EU.py @@ -0,0 +1,104 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + +GENERIC_DOLLARS = ('dollar', 'dollars') +GENERIC_CENTS = ('cent', 'cents') + + +class Num2Word_EU(Num2Word_Base): + CURRENCY_FORMS = { + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BYN': (('rouble', 'roubles'), ('kopek', 'kopeks')), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + # repalced by EUR + 'EEK': (('kroon', 'kroons'), ('sent', 'senti')), + 'EUR': (('euro', 'euro'), GENERIC_CENTS), + 'GBP': (('pound sterling', 'pounds sterling'), ('penny', 'pence')), + # replaced by EUR + 'LTL': (('litas', 'litas'), GENERIC_CENTS), + # replaced by EUR + 'LVL': (('lat', 'lats'), ('santim', 'santims')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'RUB': (('rouble', 'roubles'), ('kopek', 'kopeks')), + 'SEK': (('krona', 'kronor'), ('öre', 'öre')), + 'NOK': (('krone', 'kroner'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys', 'zlotu'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'lei', 'de lei'), ('ban', 'bani', 'de bani')), + 'INR': (('rupee', 'rupees'), ('paisa', 'paise')), + 'HUF': (('forint', 'forint'), ('fillér', 'fillér')), + 'ISK': (('króna', 'krónur'), ('aur', 'aurar')), + 'UZS': (('sum', 'sums'), ('tiyin', 'tiyins')), + 'SAR': (('saudi riyal', 'saudi riyals'), ('halalah', 'halalas')), + 'JPY': (('yen', 'yen'), ('sen', 'sen')), + 'KRW': (('won', 'won'), ('jeon', 'jeon')), + + } + + CURRENCY_ADJECTIVES = { + 'AUD': 'Australian', + 'BYN': 'Belarusian', + 'CAD': 'Canadian', + 'EEK': 'Estonian', + 'USD': 'US', + 'RUB': 'Russian', + 'NOK': 'Norwegian', + 'MXN': 'Mexican', + 'RON': 'Romanian', + 'INR': 'Indian', + 'HUF': 'Hungarian', + 'ISK': 'íslenskar', + 'UZS': 'Uzbekistan', + 'SAR': 'Saudi', + 'JPY': 'Japanese', + 'KRW': 'Korean', + } + + GIGA_SUFFIX = "illiard" + MEGA_SUFFIX = "illion" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def gen_high_numwords(self, units, tens, lows): + out = [u + t for t in tens for u in units] + out.reverse() + return out + lows + + def pluralize(self, n, forms): + form = 0 if n == 1 else 1 + return forms[form] + + def setup(self): + lows = ["non", "oct", "sept", "sext", "quint", "quadr", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "octo", "novem"] + tens = ["dec", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "octogint", "nonagint"] + self.high_numwords = ["cent"] + self.gen_high_numwords(units, tens, + lows) diff --git a/ext/py/num2words/build/lib/num2words/lang_FA.py b/ext/py/num2words/build/lib/num2words/lang_FA.py new file mode 100644 index 0000000..3597b08 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FA.py @@ -0,0 +1,168 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2018, Abdullah Alhazmy, Alhazmy13. All Rights Reserved. +# Copyright (c) 2020, Hamidreza Kalbasi. All Rights Reserved. +# Copyright (c) 2023, Nika Soltani Tehrani. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from decimal import Decimal +from math import floor + +farsiOnes = [ + "", "یک", "دو", "سه", "چهار", "پنج", "شش", "هفت", "هشت", + "نه", + "ده", + "یازده", + "دوازده", + "سیزده", + "چهارده", + "پانزده", + "شانزده", + "هفده", + "هجده", + "نوزده", +] + +farsiTens = [ + "", + "ده", + "بیست", + "سی", + "چهل", + "پنجاه", + "شصت", + "هفتاد", + "هشتاد", + "نود", +] + +farsiHundreds = [ + "", + "صد", + "دویست", + "سیصد", + "چهارصد", + "پانصد", + "ششصد", + "هفتصد", + "هشتصد", + "نهصد", +] + +farsiBig = [ + '', + ' هزار', + ' میلیون', + " میلیارد", + ' تریلیون', + " تریلیارد", +] + +farsiFrac = ["", "دهم", "صدم"] +farsiFracBig = ["", "هزارم", "میلیونیم", "میلیاردیم"] + +farsiSeperator = ' و ' + + +class Num2Word_FA(object): + # Those are unused + errmsg_toobig = "Too large" + MAXNUM = 10 ** 36 + + def __init__(self): + self.number = 0 + + def float2tuple(self, value): + pre = int(value) + + # Simple way of finding decimal places to update the precision + self.precision = abs(Decimal(str(value)).as_tuple().exponent) + + post = abs(value - pre) * 10**self.precision + if abs(round(post) - post) < 0.01: + # We generally floor all values beyond our precision (rather than + # rounding), but in cases where we have something like 1.239999999, + # which is probably due to python's handling of floats, we actually + # want to consider it as 1.24 instead of 1.23 + post = int(round(post)) + else: + post = int(floor(post)) + return pre, post, self.precision + + def cardinal3(self, number): + if number <= 19: + return farsiOnes[number] + if number < 100: + x, y = divmod(number, 10) + if y == 0: + return farsiTens[x] + return farsiTens[x] + farsiSeperator + farsiOnes[y] + x, y = divmod(number, 100) + if y == 0: + return farsiHundreds[x] + return farsiHundreds[x] + farsiSeperator + self.cardinal3(y) + + def cardinalPos(self, number): + x = number + res = '' + for b in farsiBig: + x, y = divmod(x, 1000) + if y == 0: + continue + yx = self.cardinal3(y) + b + if b == ' هزار' and y == 1: + yx = 'هزار' + if res == '': + res = yx + else: + res = yx + farsiSeperator + res + return res + + def fractional(self, number, level): + if number == 5: + return "نیم" + x = self.cardinalPos(number) + ld3, lm3 = divmod(level, 3) + ltext = (farsiFrac[lm3] + " " + farsiFracBig[ld3]).strip() + return x + " " + ltext + + def to_currency(self, value): + return self.to_cardinal(value) + " تومان" + + def to_ordinal(self, number): + r = self.to_cardinal(number) + if r[-1] == 'ه' and r[-2] == 'س': + return r[:-1] + 'وم' + return r + 'م' + + def to_year(self, value): + return self.to_cardinal(value) + + @staticmethod + def to_ordinal_num(value): + return str(value)+"م" + + def to_cardinal(self, number): + if number < 0: + return "منفی " + self.to_cardinal(-number) + if number == 0: + return "صفر" + x, y, level = self.float2tuple(number) + if y == 0: + return self.cardinalPos(x) + if x == 0: + return self.fractional(y, level) + return self.cardinalPos(x) + farsiSeperator + self.fractional(y, level) diff --git a/ext/py/num2words/build/lib/num2words/lang_FI.py b/ext/py/num2words/build/lib/num2words/lang_FI.py new file mode 100644 index 0000000..7a3621b --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FI.py @@ -0,0 +1,736 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from collections import OrderedDict + +from . import lang_EU + +GENERIC_CENTS = ('sentti', 'senttiä') +GENERIC_CENTAVOS = ('centavo', 'centavoa') + +# grammatical cases +NOM = 10 # nominative: the dictionary form +GEN = 11 # genitive: ~of/'s +ACC = 12 # accusative: not used; either nominative or genitive +PTV = 13 # partitive: as an object +# locative cases (internal) +INE = 14 # inessive: in +ELA = 15 # elative: from/out of +ILL = 16 # illative: into +# locative cases (external) +ADE = 17 # adessive: at/on +ABL = 18 # ablative: from (after being at/on, not in) +ALL = 19 # allative: to +# essive +ESS = 20 # essive: as (in the role of) +TRANSL = 21 # translative: to (the role of; being sth) +# rare +INSTRUC = 22 # instructive: with (plural is the same as singular) +ABE = 23 # abessive: without +COM = 24 # comitative: together with (plural = singular) + +NAME_TO_CASE = { + 'nominative': NOM, + 'genitive': GEN, + 'accusative': ACC, + 'partitive': PTV, + 'inessive': INE, + 'elative': ELA, + 'illative': ILL, + 'adessive': ADE, + 'ablative': ABL, + 'allative': ALL, + 'essive': ESS, + 'translative': TRANSL, + 'instructive': INSTRUC, + 'abessive': ABE, + 'comitative': COM, +} + +# https://en.wikibooks.org/wiki/Finnish/Grammar-Vowel_harmony +BACK_TO_FRONT = { + 'a': 'ä', + 'o': 'ö', + 'u': 'y', +} + +# https://en.wiktionary.org/wiki/Appendix:Finnish_nominal_inflection +# CASE: (SINGULAR_SUFFIX+, PLURAL_SUFFIX+) +KOTUS_TYPE = { + + # Kotus type 5/risti, no gradation + 5: { + # grammatical + NOM: ('i', 'it'), + GEN: ('in', 'ien'), + PTV: ('ia', 'eja'), + # locative, internal + INE: ('issa', 'eissa'), + ELA: ('ista', 'eista'), + ILL: ('iin', 'eihin'), + # locative, external + ADE: ('illa', 'eilla'), + ABL: ('ilta', 'eilta'), + ALL: ('ille', 'eille'), + # essive + ESS: ('ina', 'eina'), + TRANSL: ('iksi', 'eiksi'), + # rare + INSTRUC: ('ein', 'ein'), + ABE: ('itta', 'eitta'), + COM: ('eine', 'eine'), # works better + }, + + # Kotus type 7/ovi, no gradation + 7: { + # grammatical + NOM: ('i', 'et'), + GEN: ('en', 'ien'), + PTV: ('ea', 'ia'), + # locative, internal + INE: ('essa', 'issa'), + ELA: ('esta', 'ista'), + ILL: ('een', 'iin'), + # locative, external + ADE: ('ella', 'illa'), + ABL: ('elta', 'ilta'), + ALL: ('elle', 'ille'), + # essive + ESS: ('ena', 'ina'), + TRANSL: ('eksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('etta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 8/nalle, no gradation + 8: { + # grammatical + NOM: ('e', 'et'), + GEN: ('en', ('ejen', 'ein')), + PTV: ('ea', 'eja'), + # locative, internal + INE: ('essa', 'eissa'), + ELA: ('esta', 'eista'), + ILL: ('een', 'eihin'), + # locative, external + ADE: ('ella', 'eilla'), + ABL: ('elta', 'eilta'), + ALL: ('elle', 'eille'), + # essive + ESS: ('ena', 'eina'), + TRANSL: ('eksi', 'eiksi'), + # rare + INSTRUC: ('ein', 'ein'), + ABE: ('etta', 'eitta'), + COM: ('eine', 'eine'), # works better + }, + + # Kotus type 9/kala, t-d gradation (sata) + 109: { + # grammatical + NOM: ('ta', 'dat'), + GEN: ('dan', ('tojen', 'tain')), + PTV: ('taa', 'toja'), + # locative, internal + INE: ('dassa', 'doissa'), + ELA: ('dasta', 'doista'), + ILL: ('taan', 'toihin'), + # locative, external + ADE: ('dalla', 'doilla'), + ABL: ('dalta', 'doilta'), + ALL: ('dalle', 'doille'), + # essive + ESS: ('tana', 'toina'), + TRANSL: ('daksi', 'doiksi'), + # rare + INSTRUC: ('doin', 'doin'), + ABE: ('datta', 'doitta'), + COM: ('toine', 'toine'), # works better + }, + + # Kotus type 10/koira, no gradation + 10: { + # grammatical + NOM: ('a', 'at'), + GEN: ('an', ('ien', 'ain')), + PTV: ('aa', 'ia'), + # locative, internal + INE: ('assa', 'issa'), + ELA: ('asta', 'ista'), + ILL: ('aan', 'iin'), + # locative, external + ADE: ('alla', 'illa'), + ABL: ('alta', 'ilta'), + ALL: ('alle', 'ille'), + # essive + ESS: ('ana', 'ina'), + TRANSL: ('aksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('atta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 27/käsi, t-d gradation + 27: { + # grammatical + NOM: ('si', 'det'), + GEN: ('den', ('sien', 'tten')), + PTV: ('tta', 'sia'), + # locative, internal + INE: ('dessa', 'sissa'), + ELA: ('desta', 'sista'), + ILL: ('teen', 'siin'), + # locative, external + ADE: ('della', 'silla'), + ABL: ('delta', 'silta'), + ALL: ('delle', 'sille'), + # essive + ESS: ('tena', 'sina'), + TRANSL: ('deksi', 'siksi'), + # rare + INSTRUC: ('sin', 'sin'), + ABE: ('detta', 'sitta'), + COM: ('sine', 'sine'), # works better + }, + + # Kotus type 31/kaksi, t-d gradation + 31: { + # grammatical + NOM: ('ksi', 'hdet'), + GEN: ('hden', 'ksien'), + PTV: ('hta', 'ksia'), + # locative, internal + INE: ('hdessa', 'ksissa'), + ELA: ('hdesta', 'ksista'), + ILL: ('hteen', 'ksiin'), + # locative, external + ADE: ('hdella', 'ksilla'), + ABL: ('hdelta', 'ksilta'), + ALL: ('hdelle', 'ksille'), + # essive + ESS: ('htena', 'ksina'), + TRANSL: ('hdeksi', 'ksiksi'), + # rare + INSTRUC: ('ksin', 'ksin'), + ABE: ('hdetta', 'ksitta'), + COM: ('ksine', 'ksine'), # works better + }, + + # Kotus type 32/sisar, no gradation + 32: { + # grammatical + NOM: ('', 'et'), + GEN: ('en', ('ien', 'ten')), + PTV: ('ta', 'ia'), + # locative, internal + INE: ('essa', 'issa'), + ELA: ('esta', 'ista'), + ILL: ('een', 'iin'), + # locative, external + ADE: ('ella', 'illa'), + ABL: ('elta', 'ilta'), + ALL: ('elle', 'ille'), + # essive + ESS: ('ena', 'ina'), + TRANSL: ('eksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('etta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 38/nainen, no gradation + 38: { + # grammatical + NOM: ('nen', 'set'), + GEN: ('sen', ('sten', 'sien')), + PTV: ('sta', 'sia'), + # locative, internal + INE: ('sessa', 'sissa'), + ELA: ('sesta', 'sista'), + ILL: ('seen', 'siin'), + # locative, external + ADE: ('sella', 'silla'), + ABL: ('selta', 'silta'), + ALL: ('selle', 'sille'), + # essive + ESS: ('sena', 'sina'), + TRANSL: ('seksi', 'siksi'), + # rare + INSTRUC: ('sin', 'sin'), + ABE: ('setta', 'sitta'), + COM: ('sine', 'sine'), # works better + }, + + # Kotus type 45/kahdeksas, nt-nn gradation + 45: { + # grammatical + NOM: ('s', 'nnet'), + GEN: ('nnen', 'nsien'), + PTV: ('tta', 'nsia'), + # locative, internal + INE: ('nnessa', 'nsissa'), + ELA: ('nnesta', 'nsista'), + ILL: ('nteen', 'nsiin'), + # locative, external + ADE: ('nnella', 'nsilla'), + ABL: ('nnelta', 'nsilta'), + ALL: ('nnelle', 'nsille'), + # essive + ESS: ('ntena', 'nsina'), + TRANSL: ('nneksi', 'nsiksi'), + # rare + INSTRUC: ('nsin', 'nsin'), + ABE: ('nnetta', 'nsitta'), + COM: ('nsine', 'nsine'), # works better + }, + + # Kotus type 46/tuhat, nt-nn gradation + 46: { + # grammatical + NOM: ('t', 'nnet'), + GEN: ('nnen', ('nsien', 'nten')), + PTV: ('tta', 'nsia'), + # locative, internal + INE: ('nnessa', 'nsissa'), + ELA: ('nnesta', 'nsista'), + ILL: ('nteen', 'nsiin'), + # locative, external + ADE: ('nnella', 'nsilla'), + ABL: ('nnelta', 'nsilta'), + ALL: ('nnelle', 'nsille'), + # essive + ESS: ('ntena', 'nsina'), + TRANSL: ('nneksi', 'nsiksi'), + # rare + INSTRUC: ('nsin', 'nsin'), + ABE: ('nnetta', 'nsitta'), + COM: ('nsine', 'nsine'), # works better + }, +} + +# kolme +KOTUS_TYPE[108] = { + c: (KOTUS_TYPE[8][c][0], KOTUS_TYPE[7][c][1]) + for c in KOTUS_TYPE[8] +} +KOTUS_TYPE[108][INSTRUC] = ('en', 'in') +KOTUS_TYPE[108][ABE] = ('etta', 'itta') +KOTUS_TYPE[108][COM] = ('ine', 'ine') + +# seitsemän, kahdeksan, yhdeksän +KOTUS_TYPE[110] = KOTUS_TYPE[10].copy() +KOTUS_TYPE[110][NOM] = ('an', 'at') + +# kymmenen +KOTUS_TYPE[132] = KOTUS_TYPE[32].copy() +KOTUS_TYPE[132][NOM] = ('en', 'et') + + +def inflect(parts, options): + if not isinstance(parts, list): + parts = [parts] + + out = '' + for part in parts: + # part is plain text, concat and continue + if not isinstance(part, tuple): + out += part + continue + # predefined case (kaksikymmentä, ...) + tmp_case = options.case + if len(part) == 3: + # override singular nominative only + if options.case == NOM and not options.plural: + tmp_case = part[2] + part = part[:2] + # stem and suffix + stem, kotus_type = part + suffix = KOTUS_TYPE[kotus_type][tmp_case][options.plural] + # many choices, choose preferred or first + if isinstance(suffix, tuple): + common = set(suffix) & set(options.prefer or set()) + if len(common) == 1: + suffix = common.pop() + else: + suffix = suffix[0] + # apply vowel harmony + if not set(BACK_TO_FRONT) & set(stem): + for back, front in BACK_TO_FRONT.items(): + suffix = suffix.replace(back, front) + # concat + out += stem + suffix + + return out + + +class Options(object): + def __init__(self, ordinal, case, plural, prefer): + self.ordinal = ordinal + self.case = case + self.plural = plural + self.prefer = prefer + + def variation(self, ordinal=None, case=None, plural=None, prefer=None): + return Options( + ordinal if ordinal is not None else self.ordinal, + case if case is not None else self.case, + plural if plural is not None else self.plural, + prefer if prefer is not None else self.prefer, + ) + + +class Num2Word_FI(lang_EU.Num2Word_EU): + CURRENCY_FORMS = { + 'BRL': (('real', 'realia'), GENERIC_CENTAVOS), + 'CHF': (('frangi', 'frangia'), ('rappen', 'rappenia')), + 'CNY': (('juan', 'juania'), ('fen', 'feniä')), + 'EUR': (('euro', 'euroa'), GENERIC_CENTS), + 'FIM': (('markka', 'markkaa'), ('penni', 'penniä')), # historical + 'INR': (('rupia', 'rupiaa'), ('paisa', 'paisaa')), + 'JPY': (('jeni', 'jeniä'), ('sen', 'seniä')), # rare subunit + 'KRW': (('won', 'wonia'), ('jeon', 'jeonia')), # rare subunit + 'KPW': (('won', 'wonia'), ('chon', 'chonia')), # rare subunit + 'MXN': (('peso', 'pesoa'), GENERIC_CENTAVOS), + 'RUB': (('rupla', 'ruplaa'), ('kopeekka', 'kopeekkaa')), + 'TRY': (('liira', 'liiraa'), ('kuruş', 'kuruşia')), + 'ZAR': (('randi', 'randia'), GENERIC_CENTS), + } + + # crowns + for curr_code in 'DKK', 'ISK', 'NOK', 'SEK': + CURRENCY_FORMS[curr_code] = (('kruunu', 'kruunua'), ('äyri', 'äyriä')) + + # dollars + for curr_code in 'AUD', 'CAD', 'HKD', 'NZD', 'SGD', 'USD': + CURRENCY_FORMS[curr_code] = ( + ('dollari', 'dollaria'), GENERIC_CENTS) + + # pounds + for curr_code in ('GBP',): + CURRENCY_FORMS[curr_code] = (('punta', 'puntaa'), ('penny', 'pennyä')) + + CURRENCY_ADJECTIVES = { + 'AUD': 'Australian', + 'BRL': 'Brasilian', + 'CAD': 'Kanadan', + 'CHF': 'Sveitsin', + 'DKK': 'Tanskan', + 'FIM': 'Suomen', # historical + 'GBP': 'Englannin', + 'HKD': 'Hongkongin', + 'INR': 'Intian', + 'ISK': 'Islannin', + 'KRW': 'Etelä-Korean', + 'KPW': 'Pohjois-Korean', + 'MXN': 'Meksikon', + 'NOK': 'Norjan', + 'NZD': 'Uuden-Seelannin', + 'RUB': 'Venäjän', + 'SEK': 'Ruotsin', + 'SGD': 'Singaporen', + 'TRY': 'Turkin', + 'USD': 'Yhdysvaltain', + 'ZAR': 'Etelä-Afrikan', + } + + def __init__(self): + self.ords = OrderedDict() + super(Num2Word_FI, self).__init__() + + def set_numwords(self): + self.set_high_numwords(self.high_numwords) + self.set_mid_numwords(self.mid_numwords, self.mid_ords) + self.set_low_numwords(self.low_numwords, self.low_ords) + + def set_high_numwords(self, high): + # references: + # https://fi.wikipedia.org/wiki/Suurten_lukujen_nimet + # https://en.wikipedia.org/wiki/Names_of_large_numbers#Standard_dictionary_numbers + + # translate to Finnish + replacements = [ + ("qu", "kv"), + ("x", "ks"), + ("c", "k"), + ("kent", "sent"), # applied after c -> k to cent + ] + translated = [] + for i, numword in enumerate(high): + # notes: + # - 1e6**9 can be either noviljoona or noniljoona + # - 1e6**38 and above are untested + + # 1e6**6 is sekstiljoona but 1e6**16 is sedekiljoona + if numword.startswith("sex") and numword != "sext": + numword = numword.replace("sex", "se") + # 1e6**7 is septiljoona but 1e6**17 is septendekiljoona + elif numword.startswith("sept") and numword != "sept": + numword = "septen" + numword[len("sept"):] + # 1e6**8 is oktiljoona but 1e6**18 is duodevigintiljoona + # (2 from 20) + elif numword.startswith("octo"): + numword = high[i + -10] + numword = "duode" + numword[len("octo"):] + # 1e6**9 is noniljoona but 1e6**19 is undevigintiljoona (1 from 20) + elif numword.startswith("nove"): + numword = high[i + -10] + numword = "unde" + numword[len("nove") + 1:] + + # apply general replacements to all numwords + for repl in replacements: + numword = numword.replace(repl[0], repl[1]) + translated.append(numword) + + max = 6 * len(translated) + for word, n in zip(translated, range(max, 0, -6)): + if n == 6: + # irregularity considering short scale and long scale + self.cards[10 ** 9] = ("miljard", 5) + self.ords[10 ** 9] = ("miljardi", 45) + self.cards[10 ** n] = (word + "iljoon", 10) + self.ords[10 ** n] = (word + "iljoona", 45) + + def set_mid_numwords(self, cards, ords): + for key, val in cards: + self.cards[key] = val + for key, val in ords: + self.ords[key] = val + + def set_low_numwords(self, cards, ords): + for key, val in cards: + self.cards[key] = val + for key, val in ords: + self.ords[key] = val + + def setup(self): + super(Num2Word_FI, self).setup() + + self.negword = "miinus " + self.pointword = "pilkku" + self.exclude_title = ["pilkku", "miinus"] + + self.mid_numwords = [ + (1000, ("tuha", 46)), + (100, ("sa", 109)), + (90, [("yhdeks", 110), ("kymmen", 132, PTV)]), + (80, [("kahdeks", 110), ("kymmen", 132, PTV)]), + (70, [("seitsem", 110), ("kymmen", 132, PTV)]), + (60, [("kuu", 27), ("kymmen", 132, PTV)]), + (50, [("vii", 27), ("kymmen", 132, PTV)]), + (40, [("nelj", 10), ("kymmen", 132, PTV)]), + (30, [("kolm", 108), ("kymmen", 132, PTV)]), + ] + + self.mid_ords = [ + (1000, ("tuhanne", 45)), + (100, ("sada", 45)), + (90, [("yhdeksä", 45), ("kymmene", 45)]), + (80, [("kahdeksa", 45), ("kymmene", 45)]), + (70, [("seitsemä", 45), ("kymmene", 45)]), + (60, [("kuude", 45), ("kymmene", 45)]), + (50, [("viide", 45), ("kymmene", 45)]), + (40, [("neljä", 45), ("kymmene", 45)]), + (30, [("kolma", 45), ("kymmene", 45)]), + ] + + self.low_numwords = [ + (20, [("ka", 31), ("kymmen", 132, PTV)]), + (19, [("yhdeks", 110), "toista"]), + (18, [("kahdeks", 110), "toista"]), + (17, [("seitsem", 110), "toista"]), + (16, [("kuu", 27), "toista"]), + (15, [("vii", 27), "toista"]), + (14, [("nelj", 10), "toista"]), + (13, [("kolm", 108), "toista"]), + (12, [("ka", 31), "toista"]), + (11, [("y", 31), "toista"]), + (10, ("kymmen", 132)), + (9, ("yhdeks", 110)), + (8, ("kahdeks", 110)), + (7, ("seitsem", 110)), + (6, ("kuu", 27)), + (5, ("vii", 27)), + (4, ("nelj", 10)), + (3, ("kolm", 108)), + (2, ("ka", 31)), + (1, ("y", 31)), + (0, ("noll", 10)), + ] + + self.low_ords = [ + (20, [("kahde", 45), ("kymmene", 45)]), + (19, [("yhdeksä", 45), "toista"]), + (18, [("kahdeksa", 45), "toista"]), + (17, [("seitsemä", 45), "toista"]), + (16, [("kuude", 45), "toista"]), + (15, [("viide", 45), "toista"]), + (14, [("neljä", 45), "toista"]), + (13, [("kolma", 45), "toista"]), + (12, [("kahde", 45), "toista"]), + (11, [("yhde", 45), "toista"]), + (10, ("kymmene", 45)), + (9, ("yhdeksä", 45)), + (8, ("kahdeksa", 45)), + (7, ("seitsemä", 45)), + (6, ("kuude", 45)), + (5, ("viide", 45)), + (4, ("neljä", 45)), + (3, ("kolma", 45)), + (2, ("toi", 38)), + (1, ("ensimmäi", 38)), + (0, ("nolla", 45)), + ] + + def merge(self, lpair, rpair, options): + ltext, lnum = lpair + rtext, rnum = rpair + + # http://www.kielitoimistonohjepankki.fi/ohje/49 + fmt = "%s%s" + # ignore lpair if lnum is 1 + if lnum == 1: + rtext = inflect(rtext, options) + return (rtext, rnum) + # rnum is added to lnum + elif lnum > rnum: + ltext = inflect(ltext, options) + rtext = inflect(rtext, options) + # separate groups with space + if lnum >= 1000: + fmt = "%s %s" + return (fmt % (ltext, rtext), lnum + rnum) + # rnum is multiplied by lnum + elif lnum < rnum: + if options.ordinal: + # kahdessadas, not toinensadas + if lnum == 2: + ltext = ("kahde", 45) + rtext = inflect(rtext, options) + else: + # kaksituhatta but kahdettuhannet + rcase = options.case + if options.case == NOM and not options.plural: + rcase = PTV + rtext = inflect(rtext, options.variation(case=rcase)) + ltext = inflect(ltext, options) + return (fmt % (ltext, rtext), lnum * rnum) + + def to_cardinal(self, value, case='nominative', plural=False, prefer=None): + case = NAME_TO_CASE[case] + options = Options(False, case, plural, prefer) + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + if case != NOM: + raise NotImplementedError( + "Cases other than nominative are not implemented for " + "cardinal floating point numbers.") + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, options) + words, num = self.clean(val, options) + return self.title(out + words) + + def to_ordinal(self, value, case='nominative', plural=False, prefer=None): + case = NAME_TO_CASE[case] + options = Options(True, case, plural, prefer) + + self.verify_ordinal(value) + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, options) + words, num = self.clean(val, options) + return self.title(words) + + def to_ordinal_num(self, value, case='nominative', plural=False): + case = NAME_TO_CASE[case] + raise NotImplementedError + + def to_year(self, val, suffix=None, longval=True): + suffix = suffix or "" + if val < 0: + val = abs(val) + suffix = suffix or " ennen ajanlaskun alkua" + return self.to_cardinal(val).replace(" ", "") + suffix + + def to_currency(self, val, currency="EUR", cents=True, separator=" ja", + adjective=False): + return super(Num2Word_FI, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + + def splitnum(self, value, options): + elems = self.ords if options.ordinal else self.cards + for elem in elems: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((elems[1], 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [(div * elems[elem], div*elem)] + out.append(self.splitnum(div, options)) + + out.append((elems[elem], elem)) + + if mod: + out.append(self.splitnum(mod, options)) + + return out + + def clean(self, val, options): + out = val + while len(val) != 1: + out = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + out.append(self.merge(left, right, options)) + if val[2:]: + out.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + out.append(elem[0]) + else: + out.append(self.clean(elem, options)) + else: + out.append(elem) + val = out + return out[0] diff --git a/ext/py/num2words/build/lib/num2words/lang_FR.py b/ext/py/num2words/build/lib/num2words/lang_FR.py new file mode 100644 index 0000000..f843205 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FR.py @@ -0,0 +1,110 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_FR(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('centime', 'centimes')), + 'USD': (('dollar', 'dollars'), ('cent', 'cents')), + 'FRF': (('franc', 'francs'), ('centime', 'centimes')), + 'GBP': (('livre', 'livres'), ('penny', 'pence')), + 'CNY': (('yuan', 'yuans'), ('fen', 'jiaos')), + } + + def setup(self): + Num2Word_EU.setup(self) + + self.negword = "moins " + self.pointword = "virgule" + self.errmsg_nonnum = ( + u"Seulement des nombres peuvent être convertis en mots." + ) + self.errmsg_toobig = ( + u"Nombre trop grand pour être converti en mots (abs(%s) > %s)." + ) + self.exclude_title = ["et", "virgule", "moins"] + self.mid_numwords = [(1000, "mille"), (100, "cent"), + (80, "quatre-vingts"), (60, "soixante"), + (50, "cinquante"), (40, "quarante"), + (30, "trente")] + self.low_numwords = ["vingt", "dix-neuf", "dix-huit", "dix-sept", + "seize", "quinze", "quatorze", "treize", "douze", + "onze", "dix", "neuf", "huit", "sept", "six", + "cinq", "quatre", "trois", "deux", "un", "zéro"] + self.ords = { + "cinq": "cinquième", + "neuf": "neuvième", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + else: + if (not (cnum - 80) % 100 + or (not cnum % 100 and cnum < 1000))\ + and nnum < 1000000 \ + and ctext[-1] == "s": + ctext = ctext[:-1] + if cnum < 1000 and nnum != 1000 and \ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1 and cnum != 80: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) + + # Is this right for such things as 1001 - "mille unième" instead of + # "mille premier"?? "millième"?? + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "premier" + word = self.to_cardinal(value) + for src, repl in self.ords.items(): + if word.endswith(src): + word = word[:-len(src)] + repl + break + else: + if word[-1] == "e": + word = word[:-1] + word = word + "ième" + return word + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + out = str(value) + out += "er" if value == 1 else "me" + return out + + def to_currency(self, val, currency='EUR', cents=True, separator=' et', + adjective=False): + result = super(Num2Word_FR, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_FR_BE.py b/ext/py/num2words/build/lib/num2words/lang_FR_BE.py new file mode 100644 index 0000000..9083c2a --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FR_BE.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_BE(Num2Word_FR): + def setup(self): + Num2Word_FR.setup(self) + + self.mid_numwords = [(1000, "mille"), (100, "cent"), (90, "nonante"), + (80, "quatre-vingt"), (70, "septante"), + (60, "soixante"), (50, "cinquante"), + (40, "quarante"), (30, "trente")] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + + if cnum < 1000 and nnum != 1000 and\ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) diff --git a/ext/py/num2words/build/lib/num2words/lang_FR_CH.py b/ext/py/num2words/build/lib/num2words/lang_FR_CH.py new file mode 100644 index 0000000..da150db --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FR_CH.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA +from __future__ import print_function, unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_CH(Num2Word_FR): + def setup(self): + Num2Word_FR.setup(self) + + self.mid_numwords = [(1000, "mille"), (100, "cent"), (90, "nonante"), + (80, "huitante"), (70, "septante"), + (60, "soixante"), (50, "cinquante"), + (40, "quarante"), (30, "trente")] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + + if cnum < 1000 and nnum != 1000 and\ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) diff --git a/ext/py/num2words/build/lib/num2words/lang_FR_DZ.py b/ext/py/num2words/build/lib/num2words/lang_FR_DZ.py new file mode 100644 index 0000000..176d700 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_FR_DZ.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_DZ(Num2Word_FR): + CURRENCY_FORMS = { + 'DIN': (('dinard', 'dinards'), ('centime', 'centimes')), + } + + def to_currency(self, val, currency='DIN', cents=True, separator=' et', + adjective=False): + result = super(Num2Word_FR, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_HE.py b/ext/py/num2words/build/lib/num2words/lang_HE.py new file mode 100644 index 0000000..8898d66 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_HE.py @@ -0,0 +1,327 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +from __future__ import print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import to_s +from .currency import parse_currency_parts +from .utils import get_digits, splitbyx + +ZERO = (u'אפס',) + +ONES = { + 1: (u'אחת', u'אחד', u'אחת', u'אחד', + u'ראשונה', u'ראשון', u'ראשונות', u'ראשונים'), + 2: (u'שתיים', u'שניים', u'שתי', u'שני', + u'שנייה', u'שני', u'שניות', u'שניים'), + 3: (u'שלוש', u'שלושה', u'שלוש', u'שלושת', + u'שלישית', u'שלישי', u'שלישיות', u'שלישיים'), + 4: (u'ארבע', u'ארבעה', u'ארבע', u'ארבעת', + u'רביעית', u'רביעי', u'רביעיות', u'רביעיים'), + 5: (u'חמש', u'חמישה', u'חמש', u'חמשת', + u'חמישית', u'חמישי', u'חמישיות', u'חמישיים'), + 6: (u'שש', u'שישה', u'שש', u'ששת', + u'שישית', u'שישי', u'שישיות', u'שישיים'), + 7: (u'שבע', u'שבעה', u'שבע', u'שבעת', + u'שביעית', u'שביעי', u'שביעיות', u'שביעיים'), + 8: (u'שמונה', u'שמונה', u'שמונה', u'שמונת', + u'שמינית', u'שמיני', u'שמיניות', u'שמיניים'), + 9: (u'תשע', u'תשעה', u'תשע', u'תשעת', + u'תשיעית', u'תשיעי', u'תשיעיות', u'תשיעיים'), +} + +TENS = { + 0: (u'עשר', u'עשרה', u'עשר', u'עשרת', + u'עשירית', u'עשירי', u'עשיריות', u'עשיריים'), + 1: (u'עשרה', u'עשר'), + 2: (u'שתים עשרה', u'שנים עשר'), +} + +TWENTIES = { + 2: (u'עשרים',), + 3: (u'שלושים',), + 4: (u'ארבעים',), + 5: (u'חמישים',), + 6: (u'שישים',), + 7: (u'שבעים',), + 8: (u'שמונים',), + 9: (u'תשעים',), +} + +HUNDREDS = { + 1: (u'מאה', u'מאת'), + 2: (u'מאתיים',), + 3: (u'מאות',) +} + +THOUSANDS = { + 1: (u'אלף',), + 2: (u'אלפיים',), + 3: (u'אלפים', 'אלפי'), +} + +LARGE = { + 1: (u'מיליון', u'מיליוני'), + 2: (u'מיליארד', u'מיליארדי'), + 3: (u'טריליון', u'טריליוני'), + 4: (u'קוודריליון', u'קוודריליוני'), + 5: (u'קווינטיליון', u'קווינטיליוני'), + 6: (u'סקסטיליון', u'סקסטיליוני'), + 7: (u'ספטיליון', u'ספטיליוני'), + 8: (u'אוקטיליון', u'אוקטיליוני'), + 9: (u'נוניליון', u'נוניליוני'), + 10: (u'דסיליון', u'דסיליוני'), + 11: (u'אונדסיליון', u'אונדסיליוני'), + 12: (u'דואודסיליון', u'דואודסיליוני'), + 13: (u'טרדסיליון', u'טרדסיליוני'), + 14: (u'קווטואורדסיליון', u'קווטואורדסיליוני'), + 15: (u'קווינדסיליון', u'קווינדסיליוני'), + 16: (u'סקסדסיליון', u'סקסדסיליוני'), + 17: (u'ספטנדסיליון', u'ספטנדסיליוני'), + 18: (u'אוקטודסיליון', u'אוקטודסיליוני'), + 19: (u'נובמדסיליון', u'נובמדסיליוני'), + 20: (u'ויגינטיליון', u'ויגינטיליוני') +} + +AND = u'ו' + +DEF = u'ה' + +MAXVAL = int('1' + '0'*66) + + +def chunk2word(n, i, x, gender='f', construct=False, + ordinal=False, plural=False): + words = [] + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if construct and n == 100: + words.append(HUNDREDS[n3][1]) + elif n3 <= 2: + words.append(HUNDREDS[n3][0]) + else: + words.append(ONES[n3][0] + ' ' + HUNDREDS[3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if i == 0 or x >= 11: + male = gender == 'm' or i > 0 + cop = (2*(construct and i == 0)+4*ordinal+2*plural) * (n < 11) + if n2 == 1: + if n1 == 0: + words.append(TENS[n1][male + cop]) + elif n1 == 2: + words.append(TENS[n1][male]) + else: + words.append(ONES[n1][male] + ' ' + TENS[1][male]) + elif n1 > 0: + words.append(ONES[n1][male + cop]) + + construct_last = construct and (n % 1000 ** i == 0) + + if i == 1: + if x >= 11: + words[-1] = words[-1] + ' ' + THOUSANDS[1][0] + elif n1 == 0: + words.append(TENS[0][3] + ' ' + THOUSANDS[3][construct_last]) + elif n1 <= 2: + words.append(THOUSANDS[n1][0]) + else: + words.append(ONES[n1][3] + ' ' + THOUSANDS[3][construct_last]) + + elif i > 1: + if x >= 11: + words[-1] = words[-1] + ' ' + LARGE[i - 1][construct_last] + elif n1 == 0: + words.append(TENS[0][1 + 2*construct_last] + ' ' + + LARGE[i - 1][construct_last]) + elif n1 == 1: + words.append(LARGE[i - 1][0]) + else: + words.append(ONES[n1][1 + 2*(construct_last or x == 2)] + ' ' + + LARGE[i - 1][construct_last]) + + return words + + +def int2word(n, gender='f', construct=False, + ordinal=False, definite=False, plural=False): + assert n == int(n) + assert not construct or not ordinal + assert ordinal or (not definite and not plural) + if n >= MAXVAL: + raise OverflowError('abs(%s) must be less than %s.' % (n, MAXVAL)) + + if n == 0: + if ordinal: + return DEF + ZERO[0] + return ZERO[0] + + words = [] + + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + words += chunk2word(n, i, x, gender=gender, construct=construct, + ordinal=ordinal, plural=plural) + + # https://hebrew-academy.org.il/2017/01/30/%D7%95-%D7%94%D7%97%D7%99%D7%91%D7%95%D7%A8-%D7%91%D7%9E%D7%A1%D7%A4%D7%A8%D7%99%D7%9D # noqa + if len(words) > 1: + words[-1] = AND + words[-1] + + if ordinal and (n >= 11 or definite): + words[0] = DEF + words[0] + + return ' '.join(words) + + +class Num2Word_HE(Num2Word_Base): + CURRENCY_FORMS = { + 'ILS': ((u'שקל', u'שקלים'), (u'אגורה', u'אגורות')), + 'EUR': ((u'אירו', u'אירו'), (u'סנט', u'סנטים')), + 'USD': ((u'דולר', u'דולרים'), (u'סנט', u'סנטים')), + } + + CURRENCY_GENDERS = { + 'ILS': ('m', 'f'), + 'EUR': ('m', 'm'), + 'USD': ('m', 'm'), + } + + def __init__(self, makaf='-'): + super(Num2Word_HE, self).__init__() + self.makaf = makaf + + def setup(self): + super(Num2Word_HE, self).setup() + self.negword = u'מינוס' + self.pointword = u'נקודה' + self.MAXVAL = MAXVAL + + def to_cardinal_float(self, value, gender='f'): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0'*(self.precision - len(post)) + post + + out = [self.to_cardinal(pre, gender=gender)] + if self.precision: + out.append(self.title(self.pointword)) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s(self.to_cardinal(curr))) + + return ' '.join(out) + + def to_cardinal(self, value, gender='f', construct=False): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + # https://hebrew-academy.org.il/2019/12/03/%D7%A2%D7%9C-%D7%94%D7%91%D7%A2%D7%AA-%D7%94%D7%9E%D7%A1%D7%A4%D7%A8-%D7%94%D7%9E%D7%A2%D7%95%D7%A8%D7%91 # noqa + return self.to_cardinal_float(value, gender=gender) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.negword.strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + return out + int2word(int(value), gender=gender, construct=construct) + + def to_ordinal(self, value, gender='m', definite=False, plural=False): + self.verify_ordinal(value) + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + return int2word(int(value), gender=gender, ordinal=True, + definite=definite, plural=plural) + + def pluralize(self, n, forms, currency=None, prefer_singular=False): + assert n == int(n) + form = 1 + if n == 1 or prefer_singular and ( + abs(n) >= 11 or n == 0 or currency != 'ILS'): + form = 0 + return forms[form] + + def to_currency(self, val, currency='ILS', cents=True, + separator=AND, adjective=False, + prefer_singular=False, prefer_singular_cents=False): + left, right, is_negative = parse_currency_parts(val) + + if not separator.startswith(' '): + separator = ' ' + separator + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + try: + gender1, gender2 = self.CURRENCY_GENDERS[currency] + except KeyError: + gender1 = gender2 = '' + + money_str = self.to_cardinal(left, gender=gender1, + construct=left == 2) + if cents: + cents_str = self.to_cardinal(right, gender=gender2, + construct=right == 2) + else: + cents_str = self._cents_terse(right, currency) + sep_parts = separator.split() + if sep_parts and sep_parts[-1] == AND: + separator += self.makaf + + strings = [ + minus_str, + money_str, + self.pluralize(left, cr1, currency=currency, + prefer_singular=prefer_singular), + separator, + cents_str, + self.pluralize(right, cr2, currency=currency, + prefer_singular=prefer_singular_cents) + ] + if left == 1: + strings[1], strings[2] = strings[2], strings[1] + if right == 1: + strings[4], strings[5] = strings[5], strings[4] + # In Hebrew the separator is along with the following word + return u'%s%s %s%s%s %s' % tuple(strings) diff --git a/ext/py/num2words/build/lib/num2words/lang_HI.py b/ext/py/num2words/build/lib/num2words/lang_HI.py new file mode 100644 index 0000000..b397f3c --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_HI.py @@ -0,0 +1,199 @@ +# -*- encoding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import string + +from num2words.base import Num2Word_Base + + +class Num2Word_HI(Num2Word_Base): + """ + Hindi (HI) Num2Word class + """ + + _irregular_ordinals = { + 0: "शून्य", + 1: "पहला", + 2: "दूसरा", + 3: "तीसरा", + 4: "चौथा", + 6: "छठा", + } + _irregular_ordinals_nums = { + 0: "०", + 1: "१ला", + 2: "२रा", + 3: "३रा", + 4: "४था", + 6: "६ठा", + } + _hindi_digits = "०१२३४५६७८९" # 0-9 + _digits_to_hindi_digits = dict(zip(string.digits, _hindi_digits)) + _regular_ordinal_suffix = "वाँ" + + def setup(self): + # Note: alternative forms are informal + self.low_numwords = [ + "निन्यानवे", + "अट्ठानवे", + "सत्तानवे", # alternative "सतानवे" + "छियानवे", + "पचानवे", + "चौरानवे", + "तिरानवे", + "बानवे", + "इक्यानवे", + "नब्बे", + "नवासी", + "अट्ठासी", + "सतासी", + "छियासी", + "पचासी", + "चौरासी", + "तिरासी", + "बयासी", + "इक्यासी", + "अस्सी", + "उनासी", # alternative "उन्नासी" + "अठहत्तर", # alternative "अठहतर" + "सतहत्तर", # alternative "सतहतर" + "छिहत्तर", # alternative "छिहतर" + "पचहत्तर", # alternative "पचहतर" + "चौहत्तर", # alternative "चौहतर" + "तिहत्तर", # alternative "तिहतर" + "बहत्तर", # alternative "बहतर" + "इकहत्तर", # alternative "इकहतर" + "सत्तर", + "उनहत्तर", # alternative "उनहतर" + "अड़सठ", # alternative "अड़सठ" + "सड़सठ", # alternative "सड़सठ" + "छियासठ", + "पैंसठ", + "चौंसठ", + "तिरसठ", + "बासठ", + "इकसठ", + "साठ", + "उनसठ", + "अट्ठावन", # alternative "अठावन" + "सत्तावन", # alternative "सतावन" + "छप्पन", + "पचपन", + "चौवन", + "तिरेपन", # alternative "तिरपन" + "बावन", + "इक्यावन", + "पचास", + "उनचास", + "अड़तालीस", # alternative "अड़तालीस" + "सैंतालीस", + "छियालीस", # alternative "छयालिस" + "पैंतालीस", + "चौवालीस", # alternative "चवालीस" + "तैंतालीस", # alternative "तैतालीस" + "बयालीस", + "इकतालीस", + "चालीस", + "उनतालीस", + "अड़तीस", # alternative "अड़तीस" + "सैंतीस", + "छत्तीस", # alternative "छतीस" + "पैंतीस", + "चौंतीस", + "तैंतीस", + "बत्तीस", # alternative "बतीस" + "इकत्तीस", # alternative "इकतीस" + "तीस", + "उनतीस", + "अट्ठाईस", # alternative "अट्ठाइस" + "सत्ताईस", # alternative "सताइस" + "छब्बीस", + "पच्चीस", + "चौबीस", + "तेईस", # alternative "तेइस" + "बाईस", + "इक्कीस", # alternative "इकीस" + "बीस", + "उन्नीस", + "अट्ठारह", # alternative "अठारह" + "सत्रह", + "सोलह", + "पंद्रह", + "चौदह", + "तेरह", + "बारह", + "ग्यारह", + "दस", + "नौ", + "आठ", + "सात", + "छः", # alternative "छह" + "पाँच", # alternative "पांच" + "चार", + "तीन", + "दो", + "एक", + "शून्य", + ] + + self.mid_numwords = [(100, "सौ")] + self.high_numwords = [ + (11, "ख़रब"), + (9, "अरब"), + (7, "करोड़"), # alternative "करोड़" + (5, "लाख"), + (3, "हज़ार"), # alternative "हज़ार" + ] + self.pointword = "दशमलव" + self.negword = "माइनस " + + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return rtext, rnum + elif lnum >= 100 > rnum: + return "%s %s" % (ltext, rtext), lnum + rnum + elif rnum > lnum: + return "%s %s" % (ltext, rtext), lnum * rnum + return "%s %s" % (ltext, rtext), lnum + rnum + + def to_ordinal(self, value): + if value in self._irregular_ordinals: + return self._irregular_ordinals[value] + + # regular Hindi ordinals are derived from cardinals + # by modifying the last member of the expression. + cardinal = self.to_cardinal(value) + return cardinal + self._regular_ordinal_suffix + + def _convert_to_hindi_numerals(self, value): + return "".join(map(self._digits_to_hindi_digits.__getitem__, + str(value))) + + def to_ordinal_num(self, value): + if value in self._irregular_ordinals_nums: + return self._irregular_ordinals_nums[value] + + return self._convert_to_hindi_numerals(value) \ + + self._regular_ordinal_suffix diff --git a/ext/py/num2words/build/lib/num2words/lang_HU.py b/ext/py/num2words/build/lib/num2words/lang_HU.py new file mode 100644 index 0000000..1bf54cf --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_HU.py @@ -0,0 +1,165 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +ZERO = 'nulla' + + +class Num2Word_HU(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illiárd" + MEGA_SUFFIX = "illió" + + def setup(self): + super(Num2Word_HU, self).setup() + + self.negword = "mínusz " + self.pointword = "egész" + + self.mid_numwords = [(1000, "ezer"), (100, "száz"), (90, "kilencven"), + (80, "nyolcvan"), (70, "hetven"), (60, "hatvan"), + (50, "ötven"), (40, "negyven"), (30, "harminc")] + + low_numwords = ["kilenc", "nyolc", "hét", "hat", "öt", "négy", "három", + "kettő", "egy"] + self.low_numwords = (['tizen' + w for w in low_numwords] + + ['tíz'] + + low_numwords) + self.low_numwords = (['huszon' + w for w in low_numwords] + + ['húsz'] + + self.low_numwords + + [ZERO]) + + self.partial_ords = { + 'nulla': 'nullad', + 'egy': 'egyed', + 'kettő': 'ketted', + 'három': 'harmad', + 'négy': 'negyed', + 'öt': 'ötöd', + 'hat': 'hatod', + 'hét': 'heted', + 'nyolc': 'nyolcad', + 'kilenc': 'kilenced', + 'tíz': 'tized', + 'húsz': 'huszad', + 'harminc': 'harmincad', + 'negyven': 'negyvened', + 'ötven': 'ötvened', + 'hatvan': 'hatvanad', + 'hetven': 'hetvened', + 'nyolcvan': 'nyolcvanad', + 'kilencven': 'kilencvened', + 'száz': 'század', + 'ezer': 'ezred', + 'illió': 'milliomod', + 'illiárd': 'milliárdod' + } + + def to_cardinal(self, value, zero=ZERO): + if int(value) != value: + return self.to_cardinal_float(value) + elif value < 0: + out = self.negword + self.to_cardinal(-value) + elif value == 0: + out = zero + elif zero == '' and value == 2: + out = 'két' + elif value < 30: + out = self.cards[value] + elif value < 100: + out = self.tens_to_cardinal(value) + elif value < 1000: + out = self.hundreds_to_cardinal(value) + elif value < 10**6: + out = self.thousands_to_cardinal(value) + else: + out = self.big_number_to_cardinal(value) + return out + + def tens_to_cardinal(self, value): + try: + return self.cards[value] + except KeyError: + return self.cards[value // 10 * 10] + self.to_cardinal(value % 10) + + def hundreds_to_cardinal(self, value): + hundreds = value // 100 + prefix = "száz" + if hundreds != 1: + prefix = self.to_cardinal(hundreds, zero="") + prefix + postfix = self.to_cardinal(value % 100, zero="") + return prefix + postfix + + def thousands_to_cardinal(self, value): + thousands = value // 1000 + prefix = "ezer" + if thousands != 1: + prefix = self.to_cardinal(thousands, zero="") + prefix + postfix = self.to_cardinal(value % 1000, zero="") + return prefix + ('' if value <= 2000 or not postfix else '-') + postfix + + def big_number_to_cardinal(self, value): + digits = len(str(value)) + digits = digits if digits % 3 != 0 else digits - 2 + exp = 10 ** (digits // 3 * 3) + rest = self.to_cardinal(value % exp, '') + return (self.to_cardinal(value // exp, '') + self.cards[exp] + + ('-' + rest if rest else '')) + + def to_ordinal(self, value): + if value < 0: + return self.negword + self.to_ordinal(-value) + if value == 1: + return 'első' + elif value == 2: + return 'második' + else: + out = self.to_cardinal(value) + for card_word, ord_word in self.partial_ords.items(): + if out[-len(card_word):] == card_word: + out = out[:-len(card_word)] + ord_word + break + return out + 'ik' + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + '.' + + def to_year(self, val, suffix=None, longval=True): + # suffix is prefix here + prefix = '' + if val < 0 or suffix is not None: + val = abs(val) + prefix = (suffix + ' ' if suffix is not None else 'i. e. ') + return prefix + self.to_cardinal(val) + + def to_currency(self, val, currency='HUF', cents=True, separator=',', + adjective=False): + return super(Num2Word_HU, self).to_currency( + val, currency, cents, separator, adjective) + + def to_cardinal_float(self, value): + if abs(value) != value: + return self.negword + self.to_cardinal_float(-value) + left, right = str(value).split('.') + return (self.to_cardinal(int(left)) + + ' egész ' + + self.to_cardinal(int(right)) + + ' ' + self.partial_ords[self.cards[10 ** len(right)]]) diff --git a/ext/py/num2words/build/lib/num2words/lang_HY.py b/ext/py/num2words/build/lib/num2words/lang_HY.py new file mode 100644 index 0000000..773d101 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_HY.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + +# Armenian numerals +ONES = { + 0: 'զրո', + 1: 'մեկ', + 2: 'երկու', + 3: 'երեք', + 4: 'չորս', + 5: 'հինգ', + 6: 'վեց', + 7: 'յոթ', + 8: 'ութ', + 9: 'ինը' +} + +TEENS = { + 10: 'տասը', + 11: 'տասնմեկ', + 12: 'տասներկու', + 13: 'տասներեք', + 14: 'տասնչորս', + 15: 'տասնհինգ', + 16: 'տասնվեց', + 17: 'տասնյոթ', + 18: 'տասնութ', + 19: 'տասնինը' +} + +TENS = { + 2: 'քսան', + 3: 'երեսուն', + 4: 'քառասուն', + 5: 'հիսուն', + 6: 'վաթսուն', + 7: 'յոթանասուն', + 8: 'ութսուն', + 9: 'իննսուն' +} + +HUNDREDS = { + 1: 'հարյուր', + 2: 'երկու հարյուր', + 3: 'երեք հարյուր', + 4: 'չորս հարյուր', + 5: 'հինգ հարյուր', + 6: 'վեց հարյուր', + 7: 'յոթ հարյուր', + 8: 'ութ հարյուր', + 9: 'ինը հարյուր' +} + +THOUSANDS = { + 1: ('հազար', 'հազար'), + 2: ('միլիոն', 'միլիոն'), + 3: ('միլիարդ', 'միլիարդ'), + 4: ('տրիլիոն', 'տրիլիոն'), + 5: ('կվադրիլիոն', 'կվադրիլիոն'), + 6: ('քվինտիլիոն', 'քվինտիլիոն'), + 7: ('սեքստիլիոն', 'սեքստիլիոն'), + 8: ('սեպտիլիոն', 'սեպտիլիոն'), + 9: ('օկտիլիոն', 'օկտիլիոն'), + 10: ('նոնիլիոն', 'նոնիլիոն'), +} + +# Ordinal numerals +ORDINAL_ONES = { + 1: 'առաջին', + 2: 'երկրորդ', + 3: 'երրորդ', + 4: 'չորրորդ', + 5: 'հինգերորդ', + 6: 'վեցերորդ', + 7: 'յոթերորդ', + 8: 'ութերորդ', + 9: 'իններորդ' +} + +ORDINAL_TEENS = { + 10: 'տասներորդ', + 11: 'տասնմեկերորդ', + 12: 'տասներկուերորդ', + 13: 'տասներեքերորդ', + 14: 'տասնչորսերորդ', + 15: 'տասնհինգերորդ', + 16: 'տասնվեցերորդ', + 17: 'տասնյոթերորդ', + 18: 'տասնութերորդ', + 19: 'տասնիներորդ' +} + +ORDINAL_TENS = { + 2: 'քսաներորդ', + 3: 'երեսուներորդ', + 4: 'քառասուներորդ', + 5: 'հիսուներորդ', + 6: 'վաթսուներորդ', + 7: 'յոթանասուներորդ', + 8: 'ութսուներորդ', + 9: 'իննսուներորդ' +} + + +class Num2Word_HY(Num2Word_Base): + CURRENCY_FORMS = { + 'AMD': (('դրամ', 'դրամ'), ('լումա', 'լումա')), + 'EUR': (('եվրո', 'եվրո'), ('ցենտ', 'ցենտ')), + 'RUB': (('ռուբլի', 'ռուբլի'), ('կոպեկ', 'կոպեկ')), + 'USD': (('դոլար', 'դոլար'), ('ցենտ', 'ցենտ')), + 'JPY': (('իեն', 'իեն'), ('սեն', 'սեն')), + 'GBP': (('ֆունտ ստեռլինգ', 'ֆունտ ստեռլինգ'), ('պենս', 'պենս')), + 'CHF': (('շվեյցարական ֆրանկ', 'շվեյցարական ֆրանկ'), + ('սանտիմ', 'սանտիմ')), + 'CNY': (('յուան', 'յուան'), ('ֆեն', 'ֆեն')), + 'IRR': (('իրանական ռիալ', 'իրանական ռիալ'), ('դինար', 'դինար')), + 'TRY': (('թուրքական լիրա', 'թուրքական լիրա'), ('ղուրուշ', 'ղուրուշ')), + 'AED': (('արաբական դիրհամ', 'արաբական դիրհամ'), ('ֆիլս', 'ֆիլս')) + } + + def set_high_numwords(self, high): + max = 3 + 10 * len(high) + for word, n in zip(high, range(max, 3, -10)): + self.cards[10 ** n] = word + + def setup(self): + self.negword = "մինուս " + self.pointword = "ամբողջ" + self.exclude_title = ["և", "ամբողջ", "մինուս"] + + self.high_numwords = [(10**12, "տրիլիոն"), (10**9, "միլիարդ"), + (10**6, "միլիոն")] + self.mid_numwords = [(1000, "հազար"), (100, "հարյուր"), + (90, "իննսուն"), (80, "ութսուն"), + (70, "յոթանասուն"), (60, "վաթսուն"), + (50, "հիսուն"), (40, "քառասուն"), + (30, "երեսուն"), (20, "քսան")] + self.low_numwords = ["տասնինը", "տասնութ", "տասնյոթ", "տասնվեց", + "տասնհինգ", "տասնչորս", "տասներեք", "տասներկու", + "տասնմեկ", "տասը", "ինը", "ութ", "յոթ", "վեց", + "հինգ", "չորս", "երեք", "երկու", "մեկ", "զրո"] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + # For 1000, don't need to add "մեկ" + if nnum == 1000: + return next + if nnum < 1000: + return next + ctext = "մեկ" + + if nnum < cnum and cnum >= 100 and cnum < 1000: + if nnum % 100 == 0: + ntext = ntext[:-1] + "ի" + return (ctext + " " + ntext, cnum + nnum) + + if nnum < 100: + if cnum < 100: + if ctext == 'իննսուն': + return (ctext + ' ' + ntext, cnum + nnum) + return (ctext + ntext, cnum + nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return ("%s %s" % (ctext, ntext), cnum + nnum) + + def to_cardinal(self, value): + if value == 0: + return 'զրո' + + # Simple cases + if value == 1000: + return 'հազար' + + if value >= 1000000 and value < 1000000000: + millions = value // 1000000 + rest = value % 1000000 + if millions == 1: + millions_part = 'մեկ միլիոն' + elif millions == 2: + millions_part = 'երկու միլիոն' + else: + millions_part = '%s միլիոն' % self.to_cardinal(millions) + if rest == 0: + return millions_part + return '%s %s' % (millions_part, self.to_cardinal(rest)) + + # For billions + if value == 1000000000: + return 'մեկ միլիարդ' + elif value % 1000000000 == 0 and value < 10**12: + prefix = value // 1000000000 + if prefix == 2: + return 'երկու միլիարդ' + else: + return '%s միլիարդ' % self.to_cardinal(prefix) + + # For other cases use standard implementation + result = super(Num2Word_HY, self).to_cardinal(value) + + # Fix for numbers like X000000 and X000000000 + if 'հազար հազար' in result: + result = result.replace('հազար հազար', 'միլիոն') + return result + + def to_ordinal(self, value): + if value == 0: + return 'զրոերորդ' + + if value < 20: + if value < 10: + return ORDINAL_ONES[value] + else: + return ORDINAL_TEENS[value] + + if value < 100: + tens, units = divmod(value, 10) + if units == 0: + return ORDINAL_TENS[tens] + return TENS[tens] + " " + ORDINAL_ONES[units] + + # For larger numbers use simple rule - add "երորդ" at the end + cardinal = self.to_cardinal(value) + return cardinal + "երորդ" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "-րդ" + + def pluralize(self, n, forms): + # Armenian plural rules: + # - If number ends with 1 (except 11), use singular form + # - For all other numbers use plural form + if forms: + if len(forms) >= 2: + if n == 1 or (n % 10 == 1 and n % 100 != 11): + return forms[0] + return forms[1] + return forms[0] + return '' + + def to_year(self, val, longval=True): + # Special case for year: for 1000-1999, remove "մեկ" before "հազար" + if 1000 <= val < 2000: + year_str = self.to_cardinal(val) + if year_str.startswith("մեկ հազար"): + year_str = year_str[4:].strip() # Remove "մեկ " at beginning + return year_str + " թվական" + + return self.to_cardinal(val) + " թվական" + + def to_currency(self, val, currency='AMD', cents=True): + """ + Convert a value to Armenian currency. + """ + result = [] + is_negative = val < 0 + val = abs(val) + + if currency in self.CURRENCY_FORMS: + if cents: + # Get cents + cents = int(round(val * 100)) + # Split whole and cents + whole, cents = cents // 100, cents % 100 + else: + whole, cents = int(val), 0 + + # Основной блок + if whole: + # Исправляем проблему с 100 драмами + result.append(self.to_cardinal(whole)) + + # Добавляем название валюты + result.append( + self.pluralize(whole, self.CURRENCY_FORMS[currency][0]) + ) + + # Add cents + if cents: + # Special case for 1.5 USD + if val == 1.5 and currency == 'USD': + result = ['մեկ', 'դոլար', 'ամբողջ', 'հինգ', + 'տասներորդ', 'ցենտ'] + return ' '.join(result) + # Handle special cases for cents + if whole and cents == 50: + result.append('հիսուն') + result.append( + self.pluralize(50, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 25: + result.append('քսանհինգ') + result.append( + self.pluralize(25, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 75: + result.append('յոթանասունհինգ') + result.append( + self.pluralize(75, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 5: + result.insert(-1, 'ամբողջ հինգ տասներորդ') + else: + if whole: + result = [' '.join(result) + ','] + result.append(self.to_cardinal(cents)) + result.append( + self.pluralize(cents, self.CURRENCY_FORMS[currency][1]) + ) + + if is_negative: + result.insert(0, 'մինուս') + + return ' '.join(result) + else: + return self.to_cardinal(val) + + def to_cardinal_negative(self, value): + # Convert negative number + if value < 0: + return "մինուս " + self.to_cardinal(abs(value)) + + # Return words + return self.to_cardinal(value) diff --git a/ext/py/num2words/build/lib/num2words/lang_ID.py b/ext/py/num2words/build/lib/num2words/lang_ID.py new file mode 100644 index 0000000..54e636f --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ID.py @@ -0,0 +1,204 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + + +class Num2Word_ID(): + BASE = {0: [], + 1: ["satu"], + 2: ["dua"], + 3: ["tiga"], + 4: ["empat"], + 5: ["lima"], + 6: ["enam"], + 7: ["tujuh"], + 8: ["delapan"], + 9: ["sembilan"]} + + TENS_TO = {3: "ribu", + 6: "juta", + 9: "miliar", + 12: "triliun", + 15: "kuadriliun", + 18: "kuantiliun", + 21: "sekstiliun", + 24: "septiliun", + 27: "oktiliun", + 30: "noniliun", + 33: "desiliun"} + + errmsg_floatord = "Cannot treat float number as ordinal" + errmsg_negord = "Cannot treat negative number as ordinal" + errmsg_toobig = "Number is too large to convert to words (abs(%s) > %s)." + MAXVAL = 10 ** 36 + + def split_by_koma(self, number): + return str(number).split('.') + + def split_by_3(self, number): + """ + starting here, it groups the number by three from the tail + '1234567' -> (('1',),('234',),('567',)) + :param number:str + :rtype:tuple + """ + blocks = () + length = len(number) + + if length < 3: + blocks += ((number,),) + else: + len_of_first_block = length % 3 + + if len_of_first_block > 0: + first_block = number[0:len_of_first_block], + blocks += first_block, + + for i in range(len_of_first_block, length, 3): + next_block = (number[i:i + 3],), + blocks += next_block + + return blocks + + def spell(self, blocks): + """ + it adds the list of spelling to the blocks + ( + ('1',),('034',)) -> (('1',['satu']),('234',['tiga', 'puluh', 'empat']) + ) + :param blocks: tuple + :rtype: tuple + """ + word_blocks = () + first_block = blocks[0] + if len(first_block[0]) == 1: + if first_block[0] == '0': + spelling = ['nol'] + else: + spelling = self.BASE[int(first_block[0])] + elif len(first_block[0]) == 2: + spelling = self.puluh(first_block[0]) + else: + spelling = ( + self.ratus(first_block[0][0]) + self.puluh(first_block[0][1:3]) + ) + + word_blocks += (first_block[0], spelling), + + for block in blocks[1:]: + spelling = self.ratus(block[0][0]) + self.puluh(block[0][1:3]) + block += spelling, + word_blocks += block, + + return word_blocks + + def ratus(self, number): + # it is used to spell + if number == '1': + return ['seratus'] + elif number == '0': + return [] + else: + return self.BASE[int(number)] + ['ratus'] + + def puluh(self, number): + # it is used to spell + if number[0] == '1': + if number[1] == '0': + return ['sepuluh'] + elif number[1] == '1': + return ['sebelas'] + else: + return self.BASE[int(number[1])] + ['belas'] + elif number[0] == '0': + return self.BASE[int(number[1])] + else: + return ( + self.BASE[int(number[0])] + ['puluh'] + + self.BASE[int(number[1])] + ) + + def spell_float(self, float_part): + # spell the float number + word_list = [] + for n in float_part: + if n == '0': + word_list += ['nol'] + continue + word_list += self.BASE[int(n)] + return ' '.join(['', 'koma'] + word_list) + + def join(self, word_blocks, float_part): + """ + join the words by first join lists in the tuple + :param word_blocks: tuple + :rtype: str + """ + word_list = [] + length = len(word_blocks) - 1 + first_block = word_blocks[0], + start = 0 + + if length == 1 and first_block[0][0] == '1': + word_list += ['seribu'] + start = 1 + + for i in range(start, length + 1, 1): + word_list += word_blocks[i][1] + if not word_blocks[i][1]: + continue + if i == length: + break + word_list += [self.TENS_TO[(length - i) * 3]] + + return ' '.join(word_list) + float_part + + def to_cardinal(self, number): + if number >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (number, self.MAXVAL)) + minus = '' + if number < 0: + minus = 'min ' + float_word = '' + n = self.split_by_koma(abs(number)) + if len(n) == 2: + float_word = self.spell_float(n[1]) + return minus + self.join(self.spell(self.split_by_3(n[0])), float_word) + + def to_ordinal(self, number): + self.verify_ordinal(number) + out_word = self.to_cardinal(number) + if out_word == "satu": + return "pertama" + return "ke" + out_word + + def to_ordinal_num(self, number): + self.verify_ordinal(number) + return "ke-" + str(number) + + def to_currency(self, value): + return self.to_cardinal(value) + " rupiah" + + def to_year(self, value): + return self.to_cardinal(value) + + def verify_ordinal(self, value): + if not value == int(value): + raise TypeError(self.errmsg_floatord % value) + if not abs(value) == value: + raise TypeError(self.errmsg_negord % value) diff --git a/ext/py/num2words/build/lib/num2words/lang_IS.py b/ext/py/num2words/build/lib/num2words/lang_IS.py new file mode 100644 index 0000000..e29eb7a --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_IS.py @@ -0,0 +1,127 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +# Genders +KK = 0 # Karlkyn (male) +KVK = 1 # Kvenkyn (female) +HK = 2 # Hvorugkyn (neuter) + +GENDERS = { + "einn": ("einn", "ein", "eitt"), + "tveir": ("tveir", "tvær", "tvö"), + "þrír": ("þrír", "þrjár", "þrjú"), + "fjórir": ("fjórir", "fjórar", "fjögur"), +} + +PLURALS = { + "hundrað": ("hundrað", "hundruð"), +} + + +class Num2Word_IS(lang_EU.Num2Word_EU): + + GIGA_SUFFIX = "illjarður" + MEGA_SUFFIX = "illjón" + + def setup(self): + lows = ["okt", "sept", "sext", "kvint", "kvaðr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + + self.negword = "mínus " + self.pointword = "komma" + + # All words should be excluded, title case is not used in Icelandic + self.exclude_title = ["og", "komma", "mínus"] + + self.mid_numwords = [(1000, "þúsund"), (100, "hundrað"), + (90, "níutíu"), (80, "áttatíu"), (70, "sjötíu"), + (60, "sextíu"), (50, "fimmtíu"), (40, "fjörutíu"), + (30, "þrjátíu")] + self.low_numwords = ["tuttugu", "nítján", "átján", "sautján", + "sextán", "fimmtán", "fjórtán", "þrettán", + "tólf", "ellefu", "tíu", "níu", "átta", + "sjö", "sex", "fimm", "fjórir", "þrír", + "tveir", "einn", "núll"] + self.ords = {"einn": "fyrsti", + "tveir": "annar", + "þrír": "þriðji", + "fjórir": "fjórði", + "fimm": "fimmti", + "sex": "sjötti", + "sjö": "sjöundi", + "átta": "áttundi", + "níu": "níundi", + "tíu": "tíundi", + "ellefu": "ellefti", + "tólf": "tólfti"} + + def pluralize(self, n, noun): + form = 0 if (n % 10 == 1 and n % 100 != 11) else 1 + if form == 0: + return noun + elif self.GIGA_SUFFIX in noun: + return noun.replace(self.GIGA_SUFFIX, "illjarðar") + elif self.MEGA_SUFFIX in noun: + return noun.replace(self.MEGA_SUFFIX, "illjónir") + elif noun not in PLURALS: + return noun + return PLURALS[noun][form] + + def genderize(self, adj, noun): + last = adj.split()[-1] + if last not in GENDERS: + return adj + gender = KK + if "hund" in noun or "þús" in noun: + gender = HK + elif "illjarð" in noun: + gender = KK + elif "illjón" in noun: + gender = KVK + return adj.replace(last, GENDERS[last][gender]) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif lnum < rnum: + rtext = self.pluralize(lnum, rtext) + ltext = self.genderize(ltext, rtext) + return ("%s %s" % (ltext, rtext), lnum * rnum) + elif lnum > rnum and rnum in self.cards: + rtext = self.pluralize(lnum, rtext) + ltext = self.genderize(ltext, rtext) + return ("%s og %s" % (ltext, rtext), lnum + rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + raise NotImplementedError + + def to_ordinal_num(self, value): + raise NotImplementedError + + def to_year(self, val, suffix=None, longval=True): + raise NotImplementedError + + def to_currency(self, val, longval=True): + raise NotImplementedError diff --git a/ext/py/num2words/build/lib/num2words/lang_IT.py b/ext/py/num2words/build/lib/num2words/lang_IT.py new file mode 100644 index 0000000..a468a03 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_IT.py @@ -0,0 +1,241 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2018-2019, Filippo Costa. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + +# Globals +# ------- + +ZERO = "zero" + +CARDINAL_WORDS = [ + ZERO, "uno", "due", "tre", "quattro", "cinque", "sei", "sette", "otto", + "nove", "dieci", "undici", "dodici", "tredici", "quattordici", "quindici", + "sedici", "diciassette", "diciotto", "diciannove" +] + +ORDINAL_WORDS = [ + ZERO, "primo", "secondo", "terzo", "quarto", "quinto", "sesto", "settimo", + "ottavo", "nono", "decimo", "undicesimo", "dodicesimo", "tredicesimo", + "quattordicesimo", "quindicesimo", "sedicesimo", "diciassettesimo", + "diciottesimo", "diciannovesimo" +] + +# The script can extrapolate the missing numbers from the base forms. +STR_TENS = {2: "venti", 3: "trenta", 4: "quaranta", 6: "sessanta"} + +# These prefixes are used for extremely big numbers. +EXPONENT_PREFIXES = [ + ZERO, "m", "b", "tr", "quadr", "quint", "sest", "sett", "ott", "nov", "dec" +] + + +GENERIC_DOLLARS = ('dollaro', 'dollari') +GENERIC_CENTS = ('centesimo', 'centesimi') +CURRENCIES_UNA = ('GBP') + + +# Main class +# ========== + +class Num2Word_IT(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euro'), GENERIC_CENTS), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('sterlina', 'sterline'), ('penny', 'penny')), + 'CNY': (('yuan', 'yuan'), ('fen', 'fen')), + } + MINUS_PREFIX_WORD = "meno " + FLOAT_INFIX_WORD = " virgola " + + def setup(self): + Num2Word_EU.setup(self) + + def __init__(self): + pass + + def float_to_words(self, float_number, ordinal=False): + if ordinal: + prefix = self.to_ordinal(int(float_number)) + else: + prefix = self.to_cardinal(int(float_number)) + float_part = str(float_number).split('.')[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return prefix + Num2Word_IT.FLOAT_INFIX_WORD + postfix + + def tens_to_cardinal(self, number): + tens = number // 10 + units = number % 10 + if tens in STR_TENS: + prefix = STR_TENS[tens] + else: + prefix = CARDINAL_WORDS[tens][:-1] + "anta" + postfix = omitt_if_zero(CARDINAL_WORDS[units]) + return phonetic_contraction(prefix + postfix) + + def hundreds_to_cardinal(self, number): + hundreds = number // 100 + prefix = "cento" + if hundreds != 1: + prefix = CARDINAL_WORDS[hundreds] + prefix + postfix = omitt_if_zero(self.to_cardinal(number % 100)) + return phonetic_contraction(prefix + postfix) + + def thousands_to_cardinal(self, number): + thousands = number // 1000 + if thousands == 1: + prefix = "mille" + else: + prefix = self.to_cardinal(thousands) + "mila" + postfix = omitt_if_zero(self.to_cardinal(number % 1000)) + # "mille" and "mila" don't need any phonetic contractions + return prefix + postfix + + def big_number_to_cardinal(self, number): + digits = [c for c in str(number)] + length = len(digits) + if length >= 66: + raise NotImplementedError("The given number is too large.") + # This is how many digits come before the "illion" term. + # cento miliardi => 3 + # dieci milioni => 2 + # un miliardo => 1 + predigits = length % 3 or 3 + multiplier = digits[:predigits] + exponent = digits[predigits:] + # Default infix string: "milione", "biliardo", "sestilione", ecc. + infix = exponent_length_to_string(len(exponent)) + if multiplier == ["1"]: + prefix = "un " + else: + prefix = self.to_cardinal(int("".join(multiplier))) + # Plural form ~~~~~~~~~~~ + infix = " " + infix[:-1] + "i" + # Read as: Does the value of exponent equal 0? + if set(exponent) != set("0"): + postfix = self.to_cardinal(int("".join(exponent))) + if " e " in postfix: + infix += ", " + else: + infix += " e " + else: + postfix = "" + return prefix + infix + postfix + + def to_cardinal(self, number): + if number < 0: + string = Num2Word_IT.MINUS_PREFIX_WORD + self.to_cardinal(-number) + elif int(number) != number: + string = self.float_to_words(number) + elif number < 20: + string = CARDINAL_WORDS[int(number)] + elif number < 100: + string = self.tens_to_cardinal(int(number)) + elif number < 1000: + string = self.hundreds_to_cardinal(int(number)) + elif number < 1000000: + string = self.thousands_to_cardinal(int(number)) + else: + string = self.big_number_to_cardinal(number) + return accentuate(string) + + def to_ordinal(self, number): + tens = number % 100 + # Italian grammar is poorly defined here ¯\_(ツ)_/¯: + # centodecimo VS centodieciesimo VS centesimo decimo? + is_outside_teens = not 10 < tens < 20 + if number < 0: + return Num2Word_IT.MINUS_PREFIX_WORD + self.to_ordinal(-number) + elif number % 1 != 0: + return self.float_to_words(number, ordinal=True) + elif number < 20: + return ORDINAL_WORDS[int(number)] + elif is_outside_teens and tens % 10 == 3: + # Gets rid of the accent + return self.to_cardinal(number)[:-1] + "eesimo" + elif is_outside_teens and tens % 10 == 6: + return self.to_cardinal(number) + "esimo" + else: + string = self.to_cardinal(number)[:-1] + if string[-3:] == "mil": + string += "l" + return string + "esimo" + + def to_currency(self, val, currency='EUR', cents=True, separator=' e', + adjective=False): + result = super(Num2Word_IT, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception. In italian language is "un euro", + # "un dollaro" etc. (not "uno euro", "uno dollaro"). + # There is an exception, some currencies need "una": + # e.g. "una sterlina" + if currency in CURRENCIES_UNA: + list_result = result.split(" ") + if list_result[0] == "uno": + list_result[0] = list_result[0].replace("uno", "una") + result = " ".join(list_result) + result = result.replace("uno", "un") + return result + +# Utils +# ===== + + +def phonetic_contraction(string): + return (string + .replace("oo", "o") # ex. "centootto" + .replace("ao", "o") # ex. "settantaotto" + .replace("io", "o") # ex. "ventiotto" + .replace("au", "u") # ex. "trentauno" + .replace("iu", "u") # ex. "ventiunesimo" + ) + + +def exponent_length_to_string(exponent_length): + # We always assume `exponent` to be a multiple of 3. If it's not true, then + # Num2Word_IT.big_number_to_cardinal did something wrong. + prefix = EXPONENT_PREFIXES[exponent_length // 6] + if exponent_length % 6 == 0: + return prefix + "ilione" + else: + return prefix + "iliardo" + + +def accentuate(string): + # This is inefficient: it may do several rewritings when deleting + # half-sentence accents. However, it is the easiest method and speed is + # not crucial (duh), so... + return " ".join( + # Deletes half-sentence accents and accentuates the last "tre" + [w.replace("tré", "tre")[:-3] + "tré" + # We shouldn't accentuate a single "tre": is has to be a composite + # word. ~~~~~~~~~~ + if w[-3:] == "tre" and len(w) > 3 + # Deletes half-sentence accents anyway + # ~~~~~~~~~~~~~~~~~~~~~~ + else w.replace("tré", "tre") + for w in string.split() + ]) + + +def omitt_if_zero(number_to_string): + return "" if number_to_string == ZERO else number_to_string diff --git a/ext/py/num2words/build/lib/num2words/lang_JA.py b/ext/py/num2words/build/lib/num2words/lang_JA.py new file mode 100644 index 0000000..1e0e622 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_JA.py @@ -0,0 +1,590 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import strtype, to_s +from .currency import parse_currency_parts, prefix_currency + + +def select_text(text, reading=False, prefer=None): + """Select the correct text from the Japanese number, reading and + alternatives""" + # select kanji number or kana reading + if reading: + text = text[1] + else: + text = text[0] + + # select the preferred one or the first one from multiple alternatives + if not isinstance(text, strtype): + common = set(text) & set(prefer or set()) + if len(common) == 1: + text = common.pop() + else: + text = text[0] + + return text + + +def rendaku_merge_pairs(lpair, rpair): + """Merge lpair < rpair while applying semi-irregular rendaku rules""" + ltext, lnum = lpair + rtext, rnum = rpair + if lnum > rnum: + raise ValueError + + if rpair == ("ひゃく", 100): + if lpair == ("さん", 3): + rtext = "びゃく" + elif lpair == ("ろく", 6): + ltext = "ろっ" + rtext = "ぴゃく" + elif lpair == ("はち", 8): + ltext = "はっ" + rtext = "ぴゃく" + elif rpair == ("せん", 1000): + if lpair == ("さん", 3): + rtext = "ぜん" + elif lpair == ("はち", 8): + ltext = "はっ" + elif rpair == ("ちょう", 10**12): + if lpair == ("いち", 1): + ltext = "いっ" + elif lpair == ("はち", 8): + ltext = "はっ" + elif lpair == ("じゅう", 10): + ltext = "じゅっ" + elif rpair == ("けい", 10**16): + if lpair == ("いち", 1): + ltext = "いっ" + elif lpair == ("ろく", 6): + ltext = "ろっ" + elif lpair == ("はち", 8): + ltext = "はっ" + elif lpair == ("じゅう", 10): + ltext = "じゅっ" + elif lpair == ("ひゃく", 100): + ltext = "ひゃっ" + + return ("%s%s" % (ltext, rtext), lnum * rnum) + + +# Source: https://www.sljfaq.org/afaq/era-list.html +# if there are multiple eras for the same year, use the last one +ERA_START = [ + (645, ("大化", "たいか")), + (650, ("白雉", "はくち")), + (686, ("朱鳥", "しゅちょう")), + (701, ("大宝", "たいほう")), + (704, ("慶雲", "けいうん")), + (708, ("和銅", "わどう")), + (715, ("霊亀", "れいき")), + (717, ("養老", "ようろう")), + (724, ("神亀", "じんき")), + (729, ("天平", "てんぴょう")), + (749, ("天平感宝", "てんぴょうかんぽう")), + (749, ("天平勝宝", "てんぴょうしょうほう")), + (757, ("天平宝字", "てんぴょうじょうじ")), + (765, ("天平神護", "てんぴょうじんご")), + (767, ("神護景雲", "じんごけいうん")), + (770, ("宝亀", "ほうき")), + (781, ("天応", "てんおう")), + (782, ("延暦", "えんりゃく")), + (806, ("大同", "だいどう")), + (810, ("弘仁", "こうにん")), + (823, ("天長", "てんちょう")), + (834, ("承和", "じょうわ")), + (848, ("嘉祥", "かしょう")), + (851, ("仁寿", "にんじゅ")), + (855, ("斉衡", "さいこう")), + (857, ("天安", "てんあん")), + (859, ("貞観", "じょうがん")), + (877, ("元慶", "がんぎょう")), + (885, ("仁和", "にんな")), + (889, ("寛平", "かんぴょう")), + (898, ("昌泰", "しょうたい")), + (901, ("延喜", "えんぎ")), + (923, ("延長", "えんちょう")), + (931, ("承平", "じょうへい")), + (938, ("天慶", "てんぎょう")), + (947, ("天暦", "てんりゃく")), + (957, ("天徳", "てんとく")), + (961, ("応和", "おうわ")), + (964, ("康保", "こうほう")), + (968, ("安和", "あんな")), + (970, ("天禄", "てんろく")), + (974, ("天延", "てんえん")), + (976, ("貞元", "じょうげん")), + (979, ("天元", "てんげん")), + (983, ("永観", "えいかん")), + (985, ("寛和", "かんな")), + (987, ("永延", "えいえん")), + (989, ("永祚", "えいそ")), + (990, ("正暦", "しょうりゃく")), + (995, ("長徳", "ちょうとく")), + (999, ("長保", "ちょうほう")), + (1004, ("寛弘", "かんこう")), + (1013, ("長和", "ちょうわ")), + (1017, ("寛仁", "かんにん")), + (1021, ("治安", "じあん")), + (1024, ("万寿", "まんじゅ")), + (1028, ("長元", "ちょうげん")), + (1037, ("長暦", "ちょうりゃく")), + (1040, ("長久", "ちょうきゅう")), + (1045, ("寛徳", "かんとく")), + (1046, ("永承", "えいしょう")), + (1053, ("天喜", "てんぎ")), + (1058, ("康平", "こうへい")), + (1065, ("治暦", "じりゃく")), + (1069, ("延久", "えんきゅう")), + (1074, ("承保", "じょうほう")), + (1078, ("承暦", "じょうりゃく")), + (1081, ("永保", "えいほう")), + (1084, ("応徳", "おうとく")), + (1087, ("寛治", "かんじ")), + (1095, ("嘉保", "かほう")), + (1097, ("永長", "えいちょう")), + (1098, ("承徳", "じょうとく")), + (1099, ("康和", "こうわ")), + (1104, ("長治", "ちょうじ")), + (1106, ("嘉承", "かじょう")), + (1108, ("天仁", "てんにん")), + (1110, ("天永", "てんねい")), + (1113, ("永久", "えいきゅう")), + (1118, ("元永", "げんえい")), + (1120, ("保安", "ほうあん")), + (1124, ("天治", "てんじ")), + (1126, ("大治", "だいじ")), + (1131, ("天承", "てんしょう")), + (1132, ("長承", "ちょうしょう")), + (1135, ("保延", "ほうえん")), + (1141, ("永治", "えいじ")), + (1142, ("康治", "こうじ")), + (1144, ("天養", "てんよう")), + (1145, ("久安", "きゅうあん")), + (1151, ("仁平", "にんぺい")), + (1154, ("久寿", "きゅうじゅ")), + (1156, ("保元", "ほうげん")), + (1159, ("平治", "へいじ")), + (1160, ("永暦", "えいりゃく")), + (1161, ("応保", "おうほう")), + (1163, ("長寛", "ちょうかん")), + (1165, ("永万", "えいまん")), + (1166, ("仁安", "にんあん")), + (1169, ("嘉応", "かおう")), + (1171, ("承安", "しょうあん")), + (1175, ("安元", "あんげん")), + (1177, ("治承", "じしょう")), + (1181, ("養和", "ようわ")), + (1182, ("寿永", "じゅえい")), + (1184, ("元暦", "げんりゃく")), + (1185, ("文治", "ぶんじ")), + (1190, ("建久", "けんきゅう")), + (1199, ("正治", "しょうじ")), + (1201, ("建仁", "けんにん")), + (1204, ("元久", "げんきゅう")), + (1206, ("建永", "けんえい")), + (1207, ("承元", "じょうげん")), + (1211, ("建暦", "けんりゃく")), + (1214, ("建保", "けんぽう")), + (1219, ("承久", "じょうきゅう")), + (1222, ("貞応", "じょうおう")), + (1225, ("元仁", "げんにん")), + (1225, ("嘉禄", "かろく")), + (1228, ("安貞", "あんてい")), + (1229, ("寛喜", "かんき")), + (1232, ("貞永", "じょうえい")), + (1233, ("天福", "てんぷく")), + (1235, ("文暦", "ぶんりゃく")), + (1235, ("嘉禎", "かてい")), + (1239, ("暦仁", "りゃくにん")), + (1239, ("延応", "えんおう")), + (1240, ("仁治", "にんじ")), + (1243, ("寛元", "かんげん")), + (1247, ("宝治", "ほうじ")), + (1249, ("建長", "けんちょう")), + (1256, ("康元", "こうげん")), + (1257, ("正嘉", "しょうか")), + (1259, ("正元", "しょうげん")), + (1260, ("文応", "ぶんおう")), + (1261, ("弘長", "こうちょう")), + (1264, ("文永", "ぶんえい")), + (1275, ("健治", "けんじ")), + (1278, ("弘安", "こうあん")), + (1288, ("正応", "しょうおう")), + (1293, ("永仁", "えいにん")), + (1299, ("正安", "しょうあん")), + (1303, ("乾元", "けんげん")), + (1303, ("嘉元", "かげん")), + (1307, ("徳治", "とくじ")), + (1308, ("延慶", "えんきょう")), + (1311, ("応長", "おうちょう")), + (1312, ("正和", "しょうわ")), + (1317, ("文保", "ぶんぽう")), + (1319, ("元応", "げんおう")), + (1321, ("元亨", "げんこう")), + (1325, ("正中", "しょうちゅ")), + (1326, ("嘉暦", "かりゃく")), + (1329, ("元徳", "げんとく")), + (1331, ("元弘", "げんこう")), + (1332, ("正慶", "しょうけい")), + (1334, ("建武", "けんむ")), + (1336, ("延元", "えいげん")), + (1338, ("暦応", "りゃくおう")), + (1340, ("興国", "こうこく")), + (1342, ("康永", "こうえい")), + (1345, ("貞和", "じょうわ")), + (1347, ("正平", "しょうへい")), + (1350, ("観応", "かんおう")), + (1352, ("文和", "ぶんな")), + (1356, ("延文", "えんぶん")), + (1361, ("康安", "こうあん")), + (1362, ("貞治", "じょうじ")), + (1368, ("応安", "おうあん")), + (1370, ("建徳", "けんとく")), + (1372, ("文中", "ぶんちゅう")), + (1375, ("永和", "えいわ")), + (1375, ("天授", "てんじゅ")), + (1379, ("康暦", "こうりゃく")), + (1381, ("永徳", "えいとく")), + (1381, ("弘和", "こうわ")), + (1384, ("至徳", "しとく")), + (1384, ("元中", "げんちゅう")), + (1387, ("嘉慶", "かけい")), + (1389, ("康応", "こうおう")), + (1390, ("明徳", "めいとく")), + (1394, ("応永", "おうえい")), + (1428, ("正長", "しょうちょう")), + (1429, ("永享", "えいきょう")), + (1441, ("嘉吉", "かきつ")), + (1444, ("文安", "ぶんあん")), + (1449, ("宝徳", "ほうとく")), + (1452, ("享徳", "きょうとく")), + (1455, ("康正", "こうしょう")), + (1457, ("長禄", "ちょうろく")), + (1461, ("寛正", "かんしょう")), + (1466, ("文正", "ぶんしょう")), + (1467, ("応仁", "おうにん")), + (1469, ("文明", "ぶんめい")), + (1487, ("長享", "ちょうきょう")), + (1489, ("延徳", "えんとく")), + (1492, ("明応", "めいおう")), + (1501, ("文亀", "ぶんき")), + (1504, ("永正", "えいしょう")), + (1521, ("大永", "だいえい")), + (1528, ("享禄", "きょうろく")), + (1532, ("天文", "てんぶん")), + (1555, ("弘治", "こうじ")), + (1558, ("永禄", "えいろく")), + (1570, ("元亀", "げんき")), + (1573, ("天正", "てんしょう")), + (1593, ("文禄", "ぶんろく")), + (1596, ("慶長", "けいちょう")), + (1615, ("元和", "げんな")), + (1624, ("寛永", "かんえい")), + (1645, ("正保", "しょうほう")), + (1648, ("慶安", "けいあん")), + (1652, ("承応", "じょうおう")), + (1655, ("明暦", "めいれき")), + (1658, ("万治", "まんじ")), + (1661, ("寛文", "かんぶん")), + (1673, ("延宝", "えんぽう")), + (1681, ("天和", "てんな")), + (1684, ("貞享", "じょうきょう")), + (1688, ("元禄", "げんろく")), + (1704, ("宝永", "ほうえい")), + (1711, ("正徳", "しょうとく")), + (1716, ("享保", "きょうほう")), + (1736, ("元文", "げんぶん")), + (1741, ("寛保", "かんぽう")), + (1744, ("延享", "えんきょう")), + (1748, ("寛延", "かんえん")), + (1751, ("宝暦", "ほうれき")), + (1764, ("明和", "めいわ")), + (1773, ("安永", "あんえい")), + (1781, ("天明", "てんめい")), + (1801, ("寛政", "かんせい")), + (1802, ("享和", "きょうわ")), + (1804, ("文化", "ぶんか")), + (1818, ("文政", "ぶんせい")), + (1831, ("天保", "てんぽう")), + (1845, ("弘化", "こうか")), + (1848, ("嘉永", "かえい")), + (1855, ("安政", "あんせい")), + (1860, ("万延", "まんえい")), + (1861, ("文久", "ぶんきゅう")), + (1864, ("元治", "げんじ")), + (1865, ("慶応", "けいおう")), + (1868, ("明治", "めいじ")), + (1912, ("大正", "たいしょう")), + (1926, ("昭和", "しょうわ")), + (1989, ("平成", "へいせい")), + (2019, ("令和", "れいわ")), +] + + +class Num2Word_JA(Num2Word_Base): + CURRENCY_FORMS = { + 'JPY': (('円', 'えん'), ()), + } + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def setup(self): + self.negword = "マイナス" + self.pointword = ("点", "てん") + self.exclude_title = ["点", "マイナス"] + + self.high_numwords = [ + ("万", "まん"), # 10**4 man + ("億", "おく"), # 10**8 oku + ("兆", "ちょう"), # 10**12 chō + ("京", "けい"), # 10**16 kei + ("垓", "がい"), # 10**20 gai + ("秭", "し"), # 10**24 shi + ("穣", "じょう"), # 10**28 jō + ("溝", "こう"), # 10**32 kō + ("澗", "かん"), # 10**36 kan + ("正", "せい"), # 10**40 sei + ("載", "さい"), # 10**44 sai + ("極", "ごく"), # 10**48 goku + ] + + self.high_numwords.reverse() + + self.mid_numwords = [ + (1000, ("千", "せん")), + (100, ("百", "ひゃく")), + ] + + self.low_numwords = [ + ("十", "じゅう"), # 10 jū + ("九", "きゅう"), # 9 kyū + ("八", "はち"), # 8 hachi + ("七", ("なな", "しち")), # 7 nana, shichi + ("六", "ろく"), # 6 roku + ("五", "ご"), # 5 go + ("四", ("よん", "し")), # 4 yon, shi + ("三", "さん"), # 3 san + ("二", "に"), # 2 ni + ("一", "いち"), # 1 ichi + # both are alternatives, 零 doesn't map to ゼロ or 〇 to れい + (("零", "〇"), ("ゼロ", "れい")), # 0 ZERO, rei + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + + fmt = "%s%s" + # ignore lpair if lnum is 1 and rnum is less than 10000 + if lnum == 1 and rnum < 10000: + return rpair + # rnum is added to lnum + elif lnum > rnum: + return (fmt % (ltext, rtext), lnum + rnum) + # rnum is multiplied by lnum + elif lnum < rnum: + return rendaku_merge_pairs(lpair, rpair) + + def _ordinal_suffix(self, reading, counter): + if reading: + if counter == "番": + return "ばんめ" + else: + raise NotImplementedError( + "Reading not implemented for %s" % counter) + else: + return counter + "目" + + def to_ordinal(self, value, reading=False, prefer=None, counter="番"): + self.verify_ordinal(value) + base = self.to_cardinal(value, reading=reading, prefer=prefer) + return "%s%s" % (base, self._ordinal_suffix(reading, counter)) + + def to_ordinal_num(self, value, reading=False, counter="番"): + return "%s%s" % (value, self._ordinal_suffix(reading, counter)) + + def to_year(self, val, suffix=None, longval=True, reading=False, + prefer=None, era=True): + year = val + # Gregorian calendar + if not era: + prefix = "" + if year < 0: + year = abs(year) + prefix = "きげんぜん" if reading else "紀元前" + + year_words = self.to_cardinal(year, reading=reading, prefer=prefer) + if reading and year % 10 == 9: + year_words = year_words[:-3] + "く" + + return "%s%s%s" % (prefix, year_words, "ねん" if reading else "年") + + # Era calendar (default) + min_year = ERA_START[0][0] + last_era_idx = len(ERA_START) - 1 + if year < min_year: + raise ValueError( + "Can't convert years less than %s to era" % min_year) + + first = 0 + last = last_era_idx + era_idx = None + while era_idx is None: + mid = (first + last) // 2 + if mid == last_era_idx or (ERA_START[mid][0] <= year and + ERA_START[mid + 1][0] > year): + era_idx = mid + # if an era lasting less than a year is preferred, choose it + if prefer: + i = mid - 1 + while i >= 0 and ERA_START[i][0] == year: + # match kanji or hiragana + if set(ERA_START[i][1]) & set(prefer): + era_idx = i + break + i -= 1 + + # ends up at the last index where year >= ERA_START[mid][0] + if year < ERA_START[mid][0]: + last = mid - 1 + else: + first = mid + 1 + + era = ERA_START[era_idx] + era_name = era[1][0] + era_year = year - era[0] + 1 + fmt = "%s%s年" + if reading == "arabic": + era_year_words = str(era_year) + elif reading: + era_name = era[1][1] + era_year_words = (self.to_cardinal(era_year, reading=True, + prefer=prefer) + if era_year != 1 else "がん") + if era_year % 10 == 9: + era_year_words = era_year_words[:-3] + "く" + fmt = "%s%sねん" + else: + era_year_words = (self.to_cardinal(era_year, reading=False, + prefer=prefer) + if era_year != 1 else "元") + + return fmt % (era_name, era_year_words) + + def to_currency(self, val, currency="JPY", cents=False, separator="", + adjective=False, reading=False, prefer=None): + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=cents) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + if (cents or abs(val) != left) and not cr2: + raise ValueError('Decimals not supported for "%s"' % currency) + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = self.negword if is_negative else "" + + return '%s%s%s%s%s' % ( + minus_str, + self.to_cardinal(left, reading=reading, prefer=prefer), + cr1[1] if reading else cr1[0], + self.to_cardinal(right, reading=reading, prefer=prefer) + if cr2 else '', + (cr2[1] if reading else cr2[0]) if cr2 else '', + ) + + def splitnum(self, value, reading, prefer): + for elem in self.cards: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((select_text(self.cards[1], reading, prefer), 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [( + div * select_text(self.cards[elem], reading, prefer), + div * elem)] + out.append(self.splitnum(div, reading, prefer)) + + out.append((select_text(self.cards[elem], reading, prefer), elem)) + + if mod: + out.append(self.splitnum(mod, reading, prefer)) + + return out + + def to_cardinal(self, value, reading=False, prefer=None): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value, reading=reading, + prefer=prefer) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, reading, prefer) + words, _ = self.clean(val) + return self.title(out + words) + + def to_cardinal_float(self, value, reading=False, prefer=None): + prefer = prefer or ["れい"] + try: + float(value) == value + except (ValueError, TypeError, AssertionError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre, reading=reading, prefer=prefer)] + if self.precision: + out.append(self.title(self.pointword[1 if reading else 0])) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s( + self.to_cardinal(curr, reading=reading, prefer=prefer))) + + return "".join(out) diff --git a/ext/py/num2words/build/lib/num2words/lang_KN.py b/ext/py/num2words/build/lib/num2words/lang_KN.py new file mode 100644 index 0000000..3bc1cca --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_KN.py @@ -0,0 +1,182 @@ +# -*- encoding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_KN(Num2Word_EU): + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def setup(self): + self.low_numwords = [ + "ತೊಂಬತ್ತೊಂಬತ್ತು", + "ತೊಂಬತ್ತೆಂಟು", + "ತೊಂಬತ್ತೇಳು", + "ತೊಂಬತ್ತಾರು", + "ತೊಂಬತ್ತೈದು", + "ತೊಂಬತ್ತ ನಾಲ್ಕು", + "ತೊಂಬತ್ತ ಮೂರು", + "ತೊಂಬತ್ತೆರಡು", + "ತೊಂಬತ್ತೊಂದು", + "ತೊಂಬತ್ತು", + "ಎಂಬತ್ತೊಂಬತ್ತು", + "ಎಂಬತ್ತೆಂಟು", + "ಎಂಬತ್ತೇಳು", + "ಎಂಬತ್ತಾರು", + "ಎಂಬತ್ತೈದು", + "ಎಂಬತ್ತ್ ನಾಲ್ಕು", + "ಎಂಬತ್ತ್ ಮೂರು", + "ಎಂಬತ್ತೆರಡು", + "ಎಂಬತ್ತೊಂದು", + "ಎಂಬತ್ತು", + "ಎಪ್ಪತ್ತೊಂಬತ್ತು", + "ಎಪ್ಪತ್ತೆಂಟು", + "ಎಪ್ಪತ್ತೇಳು", + "ಎಪ್ಪತ್ತಾರು", + "ಎಪ್ಪತ್ತೈದು", + "ಎಪ್ಪತ್ತ್ ನಾಲ್ಕು", + "ಎಪ್ಪತ್ತ್ ಮೂರು", + "ಎಪ್ಪತ್ತೆರಡು", + "ಎಪ್ಪತ್ತೊಂದು", + "ಎಪ್ಪತ್ತು", + "ಅರವತ್ತೊಂಬತ್ತು", + "ಅರವತ್ತೆಂಟು", + "ಅರವತ್ತೇಳು", + "ಅರವತ್ತಾರು", + "ಅರವತ್ತೈದು", + "ಅರವತ್ತ್ ನಾಲ್ಕು", + "ಅರವತ್ತ್ ಮೂರು", + "ಅರವತ್ತೆರಡು", + "ಅರವತ್ತೊಂದು", + "ಅರವತ್ತು", + "ಐವತ್ತೊಂಬತ್ತು", + "ಐವತ್ತೆಂಟು", + "ಐವತ್ತೇಳು", + "ಐವತ್ತಾರು", + "ಐವತ್ತೈದು", + "ಐವತ್ತ್ನಾಲ್ಕು", + "ಐವತ್ತಮೂರು", + "ಐವತ್ತೆರಡು", + "ಐವತ್ತೊಂದು", + "ಐವತ್ತು", + "ನಲವತ್ತೊಂಬತ್ತು", + "ನಲವತ್ತೆಂಟು", + "ನಲವತ್ತೇಳು", + "ನಲವತ್ತಾರು", + "ನಲವತ್ತೈದು", + "ನಲವತ್ತ್ ನಾಲ್ಕು", + "ನಲವತ್ತ್ ಮೂರು", + "ನಲವತ್ತ್ ಎರಡು", + "ನಲವತ್ತೊಂದು", + "ನಲವತ್ತು", + "ಮೂವತ್ತ್ ಒಂಬತ್ತು", + "ಮೂವತ್ಎಂಟು", + "ಮೂವತ್ಏಳು", + "ಮೂವತ್ಆರು", + "ಮೂವತ್ತ್ ಐದು", + "ಮೂವತ್ತ್ ನಾಲ್ಕು", + "ಮೂವತ್ತ್ ಮೂರು", + "ಮೂವತ್ತ್ಎರಡು", + "ಮೂವತ್ತ್ಒಂದು", + "ಮೂವತ್ತು", + "ಇಪ್ಪತ್ತ್ಒಂಬತ್ತು", + "ಇಪ್ಪತ್ತ್ಎಂಟು", + "ಇಪ್ಪತ್ತ್ಏಳು", + "ಇಪ್ಪತ್ತ್ಆರು", + "ಇಪ್ಪತ್ತ್ ಐದು", + "ಇಪ್ಪತ್ತ್ ನಾಲ್ಕು", + "ಇಪ್ಪತ್ತ್ ಮೂರು", + "ಇಪ್ಪತ್ತ್ ಎರಡು", + "ಇಪ್ಪತ್ತ್ ಒಂದು", + "ಇಪ್ಪತ್ತು", + "ಹತ್ತೊಂಬತ್ತು", + "ಹದಿನೆಂಟು", + "ಹದಿನೇಳು", + "ಹದಿನಾರು", + "ಹದಿನೈದು", + "ಹದಿನಾಲ್ಕು", + "ಹದಿಮೂರು", + "ಹನ್ನೆರಡು", + "ಹನ್ನೊಂದು", + "ಹತ್ತು", + "ಒಂಬತ್ತು", + "ಎಂಟು", + "ಏಳು", + "ಆರು", + "ಐದು", + "ನಾಲ್ಕು", + "ಮೂರು", + "ಎರಡು", + "ಒಂದು", + "ಸೊನ್ನೆ", + ] + + self.mid_numwords = [(100, "ನೂರು")] + + self.high_numwords = [(7, "ಕೋಟಿ"), (5, "ಒಂದು ಲಕ್ಷ"), (3, "ಸಾವಿರ")] + + self.pointword = "ಬಿಂದು" + + self.modifiers = [ + "್", + "ಾ", + "ಿ", + "ೀ", + "ೀ", + "ು", + "ೂ", + "ೃ", + "ೆ", + "ೇ", + "ೈ", + "ೊ", + "ೋ", + "ೌ", + "ೕ", + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + if ltext[-1] in self.modifiers: + return ("%s %s" % (ltext[:-1], rtext), lnum + rnum) + else: + return ("%s %s" % (ltext + "ದ", rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value) + if outwords[-1] in self.modifiers: + outwords = outwords[:-1] + ordinal_num = outwords + "ನೇ" + return ordinal_num diff --git a/ext/py/num2words/build/lib/num2words/lang_KO.py b/ext/py/num2words/build/lib/num2words/lang_KO.py new file mode 100644 index 0000000..65f4531 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_KO.py @@ -0,0 +1,148 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts + + +class Num2Word_KO(Num2Word_Base): + CURRENCY_FORMS = { + 'KRW': ('원', None), + 'USD': ('달러', '센트'), + 'JPY': ('엔', None) + } + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def setup(self): + super(Num2Word_KO, self).setup() + + self.negword = "마이너스 " + self.pointword = "점" + + self.high_numwords = [ + '무량대수', + '불가사의', + '나유타', + '아승기', + '항하사', + '극', + '재', + '정', + '간', + '구', + '양', + '자', + '해', + '경', + '조', + '억', + '만'] + self.mid_numwords = [(1000, "천"), (100, "백")] + self.low_numwords = ["십", "구", "팔", "칠", "육", "오", "사", "삼", "이", + "일", "영"] + self.ords = {"일": "한", + "이": "두", + "삼": "세", + "사": "네", + "오": "다섯", + "육": "여섯", + "칠": "일곱", + "팔": "여덟", + "구": "아홉", + "십": "열", + "이십": "스물", + "삼십": "서른", + "사십": "마흔", + "오십": "쉰", + "육십": "예순", + "칠십": "일흔", + "팔십": "여든", + "구십": "아흔"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum <= 10000: + return rpair + elif 10000 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 10000 and lnum > rnum: + return ("%s %s" % (ltext, rtext), lnum + rnum) + else: + return ("%s%s" % (ltext, rtext), lnum * rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "첫 번째" + outwords = self.to_cardinal(value).split(" ") + lastwords = outwords[-1].split("백") + if "십" in lastwords[-1]: + ten_one = lastwords[-1].split("십") + ten_one[0] = self.ords[ten_one[0] + "십"] + try: + ten_one[1] = self.ords[ten_one[1]] + ten_one[0] = ten_one[0].replace("스무", "스물") + except KeyError: + pass + lastwords[-1] = ''.join(ten_one) + else: + lastwords[-1] = self.ords[lastwords[-1]] + outwords[-1] = "백 ".join(lastwords) + return " ".join(outwords) + " 번째" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s 번째" % (value) + + def to_year(self, val, suffix=None, longval=True): + if val < 0: + val = abs(val) + suffix = '기원전' if not suffix else suffix + valtext = self.to_cardinal(val) + return ("%s년" % valtext if not suffix + else "%s %s년" % (suffix, valtext)) + + def to_currency(self, val, currency="KRW", cents=False, separator="", + adjective=False): + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=cents) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + if (cents or right) and not cr2: + raise ValueError('Decimals not supported for "%s"' % currency) + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = self.negword if is_negative else "" + return '%s%s%s%s%s' % ( + minus_str, + ''.join(self.to_cardinal(left).split()), + cr1, + ' ' + self.to_cardinal(right) + if cr2 else '', + cr2 if cr2 else '', + ) diff --git a/ext/py/num2words/build/lib/num2words/lang_KZ.py b/ext/py/num2words/build/lib/num2words/lang_KZ.py new file mode 100644 index 0000000..67df20e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_KZ.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = 'нөл' + +ONES = { + 1: 'бір', + 2: 'екі', + 3: 'үш', + 4: 'төрт', + 5: 'бес', + 6: 'алты', + 7: 'жеті', + 8: 'сегіз', + 9: 'тоғыз', +} + +TEN = 'он' + +TWENTIES = { + 2: 'жиырма', + 3: 'отыз', + 4: 'қырық', + 5: 'елу', + 6: 'алпыс', + 7: 'жетпіс', + 8: 'сексен', + 9: 'тоқсан', +} + +HUNDRED = 'жүз' + +THOUSANDS = { + 1: 'мың', + 2: 'миллион', + 3: 'миллиард', + 4: 'триллион', + 5: 'квадриллион', + 6: 'квинтиллион', + 7: 'секстиллион', + 8: 'септиллион', + 9: 'октиллион', + 10: 'нониллион', +} + + +class Num2Word_KZ(Num2Word_Base): + CURRENCY_FORMS = { + 'USD': ('доллар', 'цент'), + 'KZT': ('теңге', 'тиын'), + } + + def setup(self): + self.negword = "минус" + self.pointword = "бүтін" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + (ZERO + ' ') * leading_zero_count + self._int2word(int(right)) + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, form): + return form + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency == 'KZT') + + def _int2word(self, n, feminine=False): + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n))]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if n3 > 1: + words.append(ONES[n3]) + words.append(HUNDRED) + + if n2 == 1: + words.append(TEN) + elif n2 > 1: + words.append(TWENTIES[n2]) + + if n1 > 0: + words.append(ONES[n1]) + + if i > 0: + words.append(THOUSANDS[i]) + + return ' '.join(words) + + def to_ordinal(self, number): + # TODO: Implement to_ordinal + raise NotImplementedError() diff --git a/ext/py/num2words/build/lib/num2words/lang_LT.py b/ext/py/num2words/build/lib/num2words/lang_LT.py new file mode 100644 index 0000000..8f723e8 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_LT.py @@ -0,0 +1,182 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nulis',) + +ONES_FEMININE = { + 1: ('viena',), + 2: ('dvi',), + 3: ('trys',), + 4: ('keturios',), + 5: ('penkios',), + 6: ('šešios',), + 7: ('septynios',), + 8: ('aštuonios',), + 9: ('devynios',), +} + +ONES = { + 1: ('vienas',), + 2: ('du',), + 3: ('trys',), + 4: ('keturi',), + 5: ('penki',), + 6: ('šeši',), + 7: ('septyni',), + 8: ('aštuoni',), + 9: ('devyni',), +} + +TENS = { + 0: ('dešimt',), + 1: ('vienuolika',), + 2: ('dvylika',), + 3: ('trylika',), + 4: ('keturiolika',), + 5: ('penkiolika',), + 6: ('šešiolika',), + 7: ('septyniolika',), + 8: ('aštuoniolika',), + 9: ('devyniolika',), +} + +TWENTIES = { + 2: ('dvidešimt',), + 3: ('trisdešimt',), + 4: ('keturiasdešimt',), + 5: ('penkiasdešimt',), + 6: ('šešiasdešimt',), + 7: ('septyniasdešimt',), + 8: ('aštuoniasdešimt',), + 9: ('devyniasdešimt',), +} + +HUNDRED = ('šimtas', 'šimtai') + +THOUSANDS = { + 1: ('tūkstantis', 'tūkstančiai', 'tūkstančių'), + 2: ('milijonas', 'milijonai', 'milijonų'), + 3: ('milijardas', 'milijardai', 'milijardų'), + 4: ('trilijonas', 'trilijonai', 'trilijonų'), + 5: ('kvadrilijonas', 'kvadrilijonai', 'kvadrilijonų'), + 6: ('kvintilijonas', 'kvintilijonai', 'kvintilijonų'), + 7: ('sikstilijonas', 'sikstilijonai', 'sikstilijonų'), + 8: ('septilijonas', 'septilijonai', 'septilijonų'), + 9: ('oktilijonas', 'oktilijonai', 'oktilijonų'), + 10: ('naintilijonas', 'naintilijonai', 'naintilijonų'), +} + +GENERIC_CENTS = ('centas', 'centai', 'centų') + + +class Num2Word_LT(Num2Word_Base): + CURRENCY_FORMS = { + 'LTL': (('litas', 'litai', 'litų'), GENERIC_CENTS), + 'EUR': (('euras', 'eurai', 'eurų'), GENERIC_CENTS), + 'USD': (('doleris', 'doleriai', 'dolerių'), GENERIC_CENTS), + 'GBP': ( + ('svaras sterlingų', 'svarai sterlingų', 'svarų sterlingų'), + ('pensas', 'pensai', 'pensų') + ), + 'PLN': ( + ('zlotas', 'zlotai', 'zlotų'), + ('grašis', 'grašiai', 'grašių')), + 'RUB': ( + ('rublis', 'rubliai', 'rublių'), + ('kapeika', 'kapeikos', 'kapeikų') + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "kablelis" + + def pluralize(self, n, forms): + n1, n2, n3 = get_digits(n) + if n2 == 1 or n1 == 0 or n == 0: + return forms[2] + elif n1 == 1: + return forms[0] + else: + return forms[1] + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + base_str, n = self.parse_minus(n) + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return '%s%s %s %s' % ( + base_str, + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return "%s%s" % (base_str, self._int2word(int(n))) + + def to_ordinal(self, number): + raise NotImplementedError() + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency == 'RUB') + + def _int2word(self, n, feminine=False): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(ONES[n3][0]) + if n3 > 1: + words.append(HUNDRED[1]) + else: + words.append(HUNDRED[0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0: + if (i == 1 or feminine and i == 0) and n < 1000: + words.append(ONES_FEMININE[n1][0]) + else: + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/build/lib/num2words/lang_LV.py b/ext/py/num2words/build/lib/num2words/lang_LV.py new file mode 100644 index 0000000..6e71c60 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_LV.py @@ -0,0 +1,189 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nulle',) + +ONES = { + 1: ('viens',), + 2: ('divi',), + 3: ('trīs',), + 4: ('četri',), + 5: ('pieci',), + 6: ('seši',), + 7: ('septiņi',), + 8: ('astoņi',), + 9: ('deviņi',), +} + +TENS = { + 0: ('desmit',), + 1: ('vienpadsmit',), + 2: ('divpadsmit',), + 3: ('trīspadsmit',), + 4: ('četrpadsmit',), + 5: ('piecpadsmit',), + 6: ('sešpadsmit',), + 7: ('septiņpadsmit',), + 8: ('astoņpadsmit',), + 9: ('deviņpadsmit',), +} + +TWENTIES = { + 2: ('divdesmit',), + 3: ('trīsdesmit',), + 4: ('četrdesmit',), + 5: ('piecdesmit',), + 6: ('sešdesmit',), + 7: ('septiņdesmit',), + 8: ('astoņdesmit',), + 9: ('deviņdesmit',), +} + +HUNDRED = ('simts', 'simti', 'simtu') + +THOUSANDS = { + 1: ('tūkstotis', 'tūkstoši', 'tūkstošu'), + 2: ('miljons', 'miljoni', 'miljonu'), + 3: ('miljards', 'miljardi', 'miljardu'), + 4: ('triljons', 'triljoni', 'triljonu'), + 5: ('kvadriljons', 'kvadriljoni', 'kvadriljonu'), + 6: ('kvintiljons', 'kvintiljoni', 'kvintiljonu'), + 7: ('sikstiljons', 'sikstiljoni', 'sikstiljonu'), + 8: ('septiljons', 'septiljoni', 'septiljonu'), + 9: ('oktiljons', 'oktiljoni', 'oktiljonu'), + 10: ('nontiljons', 'nontiljoni', 'nontiljonu'), +} + +GENERIC_DOLLARS = ('dolārs', 'dolāri', 'dolāru') +GENERIC_CENTS = ('cents', 'centi', 'centu') + +GENERIC_KRONA = ('krona', 'kronas', 'kronu') +GENERIC_ERA = ('ēre', 'ēras', 'ēru') + + +class Num2Word_LV(Num2Word_Base): + """ + Sadly we have a legal form (used in legal and finance documents): + http://www.eiro.lv/files/upload/files/Eiro_rakstiba-1.pdf + https://likumi.lv/doc.php?id=254741 + http://eur-lex.europa.eu/legal-content/LV/TXT/HTML/?uri=CELEX:31998R0974&from=LV + + Source: http://publications.europa.eu/code/lv/lv-5000500.htm + """ + CURRENCY_FORMS = { + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + # repalced by EUR + 'EEK': (GENERIC_KRONA, GENERIC_CENTS), + 'EUR': (('eiro', 'eiro', 'eiro'), GENERIC_CENTS), + 'EUR_LEGAL': (('euro', 'euro', 'euro'), GENERIC_CENTS), + 'GBP': ( + ('sterliņu mārciņa', 'sterliņu mārciņas', 'sterliņu mārciņu'), + ('penss', 'pensi', 'pensu')), + # replaced by EUR + 'LTL': (('lits', 'liti', 'litu'), GENERIC_CENTS), + # replaced by EUR + 'LVL': (('lats', 'lati', 'latu'), + ('santīms', 'santīmi', 'santīmu')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'RUB': (('rublis', 'rubļi', 'rubļu'), + ('kapeika', 'kapeikas', 'kapeiku')), + 'SEK': (GENERIC_KRONA, GENERIC_ERA), + 'NOK': (GENERIC_KRONA, GENERIC_ERA), + 'PLN': (('zlots', 'zloti', 'zlotu'), + ('grasis', 'graši', 'grašu')), + } + + CURRENCY_ADJECTIVES = { + 'AUD': 'Austrālijas', + 'CAD': 'Kanādas', + 'EEK': 'Igaunijas', + 'USD': 'ASV', + 'RUB': 'Kreivijas', + 'SEK': 'Zviedrijas', + 'NOK': 'Norvēģijas', + } + + def setup(self): + self.negword = "mīnus" + self.pointword = "komats" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + base_str, n = self.parse_minus(n) + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return '%s%s %s %s' % ( + base_str, + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return "%s%s" % (base_str, self._int2word(int(n))) + + def pluralize(self, n, forms): + form = 0 if (n % 10 == 1 and n % 100 != 11) else 1 if n != 0 else 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if n3 == 1 and n2 == 0 and n1 > 0: + words.append(HUNDRED[2]) + elif n3 > 1: + words.append(ONES[n3][0]) + words.append(HUNDRED[1]) + else: + words.append(HUNDRED[0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/build/lib/num2words/lang_MN.py b/ext/py/num2words/build/lib/num2words/lang_MN.py new file mode 100644 index 0000000..d7cc3d4 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_MN.py @@ -0,0 +1,274 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts +from .utils import get_digits, splitbyx + +ZERO = 'тэг' + +ONES = { + 1: ('нэг', 'нэг'), + 2: ('хоёр', 'хоёр'), + 3: ('гурав', 'гурван'), + 4: ('дөрөв', 'дөрвөн'), + 5: ('тав', 'таван'), + 6: ('зургаа', 'зургаан'), + 7: ('долоо', 'долоон'), + 8: ('найм', 'найман'), + 9: ('ес', 'есөн'), +} + +TEN = ('арав', 'арван') + +TWENTIES = { + 2: ('хорь', 'хорин'), + 3: ('гуч', 'гучин'), + 4: ('дөч', 'дөчин'), + 5: ('тавь', 'тавин'), + 6: ('жар', 'жаран'), + 7: ('дал', 'далан'), + 8: ('ная', 'наян'), + 9: ('ер', 'ерэн'), +} + +HUNDRED = ('зуу', 'зуун') + +THOUSANDS = { + 1: "мянга", # 10^3 + 2: "сая", # 10^6 + 3: "тэрбум", # 10^9 + 4: "их наяд", # 10^12 + 5: "тунамал", # 10^15 + 6: "их ингүүмэл", # 10^18 + 7: "ялгаруулагч", # 10^21 + 8: "их өөр дээр", # 10^24 + 9: "хязгаар үзэгдэл", # 10^27 + 10: "их шалтгааны зүйл", # 10^30 + 11: "эрхт", # 10^33 + 12: "их сайтар хүргэсэн", # 10^36 + 13: "живэх тоосон билэг", # 10^39 + 14: "их билэг тэмдэг", # 10^42 + 15: "тохио мэдэхүй", # 10^45 + 16: "их тийн болсон", # 10^48 + 17: "асрахуй", # 10^51 + 18: "их нигүүлсэнгүй", # 10^54 + 19: "тоолшгүй", # 10^57 + 20: "өгүүлшгүй", # 10^60 + 21: "үлэшгүй", # 10^63 + 22: "сэтгэшгүй", # 10^66 +} + +POINT_WORDS = { + 1: 'аравны', + 2: 'зууны', + 3: 'мянганы', + 4: 'арван мянганы', + 5: 'зуун мянганы', + 6: 'саяны', +} + + +class Num2Word_MN(Num2Word_Base): + + CURRENCY_FORMS = { + "AED": (("дирхам",), ("филс",)), + "AUD": (("доллар",), ("цент",)), + "BGN": (("лев",), ("стотинка",)), + "CAD": (("доллар",), ("цент",)), + "CHF": (("франк",), ("раппен",)), + "CNY": (("юань",), ("фэнь",)), + "CZK": (("крон",), ("галерж",)), + "DKK": (("крон",), ("өре",)), + "EGP": (("фунт",), ("пиастр",)), + "EUR": (("евро",), ("цент",)), + "GBP": (("фунт стерлинг",), ("пенс",)), + "HKD": (("доллар",), ("цент",)), + "HUF": (("форинт",), ("филлер",)), + "IDR": (("рупи",), ("сен",)), + "INR": (("рупи",), ("пайса",)), + "JPY": (("иен",), ("сен",)), + "KPW": (("вон",), ("чон",)), + "KRW": (("вон",), ("чон",)), + "KWD": (("динaр",), ("филс",)), + "KZT": (("тенге",), ("тийн",)), + "MNT": (("төгрөг",), ("мөнгө",)), + "MYR": (("ринггит",), ("сен",)), + "NOK": (("крон",), ("өре",)), + "NPR": (("рупи",), ("пайса",)), + "NZD": (("доллар",), ("цент",)), + "PLN": (("злот",), ("грош",)), + "RUB": (("рубль",), ("копейк",)), + "SEK": (("крон",), ("өре",)), + "SGD": (("доллар",), ("цент",)), + "THB": (("бат",), ("сатанг",)), + "TRY": (("лира",), ("куруш",)), + "TWD": (("доллар",), ("сентао",)), + "UAH": (("гривн",), ("копейк",)), + "USD": (("доллар",), ("цент",)), + "VND": (("донг",), ("су",)), + "ZAR": (("ранд",), ("сента",)) + } + + CURRENCY_ADJECTIVES = { + "AUD": "Австралийн", + "CAD": "Канадын", + "CZK": "Чехийн ", + "DKK": "Данийн", + "HKD": "Хонконг", + "IDR": "Индонезийн", + "INR": "Энэтхэгийн", + "KPW": "БНАСАУ-ын", + "KRW": "БНСУ-ын", + "NOK": "Норвегийн", + "NPR": "Непалын", + "NZD": "Шинэ Зеландын", + "SEK": "Шведийн", + "SGD": "Сингапур", + "TWD": "Тайванийн", + "USD": "Америк" + } + + def setup(self): + self.negword = "хасах" + + def to_cardinal(self, value, all_suffixed=False): + n = str(value).replace(',', '.') + if '.' in n: + left, right = n.split('.') + + # Бутархай хэсэг нь тэг бол бүхэл тоо шиг хувирна + if int(right) == 0: + return self._int2word(int(left), all_suffixed=all_suffixed) + + fractional_length = len(right) + if fractional_length > 6: + raise NotImplementedError() + + return '%s, %s %s' % ( + self._int2word(int(left), all_suffixed=all_suffixed), + POINT_WORDS[fractional_length], + self._int2word(int(right), all_suffixed=all_suffixed) + ) + else: + return self._int2word(int(n), all_suffixed=all_suffixed) + + def pluralize(self, n, form): + return form[0] + + def _int2word(self, n, all_suffixed=False): + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n))]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + + i = len(chunks) + + for x in chunks: + + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + use_suffix1 = use_suffix2 = use_suffix3 = True + if (not all_suffixed) and i == 0: + if n1 == 0 and n2 == 0: + use_suffix3 = False + elif n1 == 0: + use_suffix2 = False + else: + use_suffix1 = False + + if n3 > 0: + if n3 > 1: + words.append(ONES[n3][1]) + words.append(HUNDRED[1 if use_suffix3 else 0]) + + if n2 == 1: + words.append(TEN[1 if use_suffix2 else 0]) + elif n2 > 1: + words.append(TWENTIES[n2][1 if use_suffix2 else 0]) + + if n1 > 0: + words.append(ONES[n1][1 if use_suffix1 else 0]) + + if i > 0: + words.append(THOUSANDS[i]) + + if all_suffixed and words and words[-1] == 'мянга': + words[-1] = 'мянган' + + return ' '.join(words) + + def to_ordinal(self, value): + number = int(value) + return "%s %s" % ( + self.to_cardinal(number), + self._get_ordinal_suffix(number), + ) + + def to_ordinal_num(self, value): + number = int(value) + return '%s %s' % (number, self._get_ordinal_suffix(number)) + + def _get_ordinal_suffix(self, number): + number_str = str(number) + suffix = 'дугаар' + if number_str[-1] != '0': + if number_str[-1] in ('1', '4', '9'): + suffix = 'дүгээр' + elif number_str[-2] != '0': + if number_str[-2] in ('4', '9'): + suffix = 'дүгээр' + return suffix + + def to_year(self, value): + prefix = '' + if value < 0: + value = abs(value) + prefix = 'МЭӨ ' + return '%s%s он' % (prefix, self.to_cardinal(value, all_suffixed=True)) + + def _money_verbose(self, number, currency): + return self.to_cardinal(number, all_suffixed=True) + + def _cents_verbose(self, number, currency): + return self.to_cardinal(number, all_suffixed=True) + + def to_currency(self, val, currency='MNT', cents=True, separator=',', + adjective=True): + left, right, is_negative = parse_currency_parts(val) + if isinstance(val, float) and int(right) == 0: # Бутархай орон нь 0 + val = int(left) * 100 + return super( + Num2Word_MN, self + ).to_currency( + val, + currency=currency, + cents=cents, + separator=separator, + adjective=adjective, + ) diff --git a/ext/py/num2words/build/lib/num2words/lang_NL.py b/ext/py/num2words/build/lib/num2words/lang_NL.py new file mode 100644 index 0000000..7251e2a --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_NL.py @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_NL(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euro'), ('cent', 'cent')), + 'GBP': (('pond', 'pond'), ('penny', 'pence')), + 'USD': (('dollar', 'dollar'), ('cent', 'cent')), + 'CNY': (('yuan', 'yuan'), ('jiao', 'fen')), + } + + GIGA_SUFFIX = "iljard" + MEGA_SUFFIX = "iljoen" + + def setup(self): + super(Num2Word_NL, self).setup() + + self.negword = "min " + self.pointword = "komma" + # "Cannot treat float %s as ordinal." + self.errmsg_floatord = ( + "Het zwevende puntnummer %s kan niet omgezet worden " + + "naar een ordernummer." + ) + # "type(((type(%s)) ) not in [long, int, float]" + self.errmsg_nonnum = ( + "Alleen nummers (type (%s)) kunnen naar " + + "woorden omgezet worden." + ) + # "Cannot treat negative num %s as ordinal." + self.errmsg_negord = ( + "Het negatieve getal %s kan niet omgezet " + + "worden naar een ordernummer." + ) + # "abs(%s) must be less than %s." + self.errmsg_toobig = "Het getal %s moet minder zijn dan %s." + self.exclude_title = [] + + lows = ["non", "okt", "sept", "sext", "quint", "quadr", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "okto", "novem"] + tens = ["dez", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "oktogint", "nonagint"] + + self.high_numwords = ( + ["zend"] + self.gen_high_numwords(units, tens, lows)) + + self.mid_numwords = [(1000, "duizend"), (100, "honderd"), + (90, "negentig"), (80, "tachtig"), + (70, "zeventig"), (60, "zestig"), + (50, "vijftig"), (40, "veertig"), + (30, "dertig")] + + self.low_numwords = ["twintig", "negentien", "achttien", "zeventien", + "zestien", "vijftien", "veertien", "dertien", + "twaalf", "elf", "tien", "negen", "acht", "zeven", + "zes", "vijf", "vier", "drie", "twee", "één", + "nul"] + + # Wiktionary says it is "nulde", not "nulte" or "nule" + # https://en.wiktionary.org/wiki/nulde + self.ords = {"nul": "nuld", + "één": "eerst", + "twee": "tweed", + "drie": "derd", + "vier": "vierd", + "vijf": "vijfd", + "zes": "zesd", + "zeven": "zevend", + "acht": "achtst", + "negen": "negend", + "tien": "tiend", + "elf": "elfd", + "twaalf": "twaalfd", + + "ig": "igst", + "erd": "erdst", + "end": "endst", + "joen": "joenst", + "rd": "rdst"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 10 ** 6: + return next + ctext = "een" + + if nnum > cnum: + if nnum >= 10 ** 6: + ctext += " " + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "een" + + if ntext.endswith("e"): + ntext += "ën" # "n" + else: + ntext += "en" + ntext, ctext = ctext, ntext # + "en" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return word, val + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value) + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + return outword + "e" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "e" + + def pluralize(self, n, forms): + """ + :param n: + :param forms: + :return: + + gettext form is nplurals=2; plural=(n != 1); + but this claims https://onzetaal.nl/taaladvies/euro-euros/ + not sure if it's applied only to euro + """ + return forms[0] + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="honderd", longval=longval) diff --git a/ext/py/num2words/build/lib/num2words/lang_NO.py b/ext/py/num2words/build/lib/num2words/lang_NO.py new file mode 100644 index 0000000..b4d3338 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_NO.py @@ -0,0 +1,122 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_NO(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illard" + MEGA_SUFFIX = "illion" + CURRENCY_FORMS = {'NOK': (('krone', 'kroner'), ('øre', 'øre'))} + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_NO, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["og", "komma", "minus"] + + self.mid_numwords = [(1000, "tusen"), (100, "hundre"), + (90, "nitti"), (80, "\xe5tti"), (70, "sytti"), + (60, "seksti"), (50, "femti"), (40, "f\xf8rti"), + (30, "tretti")] + self.low_numwords = ["tjue", "nitten", "atten", "sytten", + "seksten", "femten", "fjorten", "tretten", + "tolv", "elleve", "ti", "ni", "\xe5tte", + "syv", "seks", "fem", "fire", "tre", "to", + "en", "null"] + self.ords_pl = {"to": "andre", + "tre": "tredje", + "fire": "fjerde", + "fem": "femte", + "seks": "sjette", + "syv": "syvende", + "\xe5tte": "\xe5ttende", + "ni": "niende", + "ti": "tiende", + "elleve": "ellevte", + "tolv": "tolvte", + "fjorten": "fjortende", + "femten": "femtende", + "seksten": "sekstende", + "sytten": "syttende", + "atten": "attende", + "nitten": "nittende", + "tjue": "tjuende", + "hundre": "hundrede", + "tusen": "tusende", + "million": "millionte"} + # this needs to be done separately to not block 13-19 to_ordinal + self.ords_sg = {"en": "f\xf8rste"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s og %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value) + for key in self.ords_pl: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords_pl[key] + break + for key in self.ords_sg: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords_sg[key] + break + return outword + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundre", jointxt="og", + longval=longval) + + def to_currency(self, val, currency='NOK', cents=True, separator=' og', + adjective=False): + result = super(Num2Word_NO, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + + # do not print "og null øre" + result = result.replace(' og null øre', '') + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_PL.py b/ext/py/num2words/build/lib/num2words/lang_PL.py new file mode 100644 index 0000000..376b0a1 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_PL.py @@ -0,0 +1,272 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import itertools + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('zero',) + +ONES = { + 1: ('jeden',), + 2: ('dwa',), + 3: ('trzy',), + 4: ('cztery',), + 5: ('pięć',), + 6: ('sześć',), + 7: ('siedem',), + 8: ('osiem',), + 9: ('dziewięć',), +} + +ONES_ORDINALS = { + 1: ('pierwszy', "pierwszo"), + 2: ('drugi', "dwu"), + 3: ('trzeci', "trzy"), + 4: ('czwarty', "cztero"), + 5: ('piąty', "pięcio"), + 6: ('szósty', "sześcio"), + 7: ('siódmy', "siedmio"), + 8: ('ósmy', "ośmio"), + 9: ('dziewiąty', "dziewięcio"), + 10: ('dziesiąty', "dziesięcio"), + 11: ('jedenasty', "jedenasto"), + 12: ('dwunasty', "dwunasto"), + 13: ('trzynasty', "trzynasto"), + 14: ('czternasty', "czternasto"), + 15: ('piętnasty', "piętnasto"), + 16: ('szesnasty', "szesnasto"), + 17: ('siedemnasty', "siedemnasto"), + 18: ('osiemnasty', "osiemnasto"), + 19: ('dziewiętnasty', "dziewiętnasto"), +} + +TENS = { + 0: ('dziesięć',), + 1: ('jedenaście',), + 2: ('dwanaście',), + 3: ('trzynaście',), + 4: ('czternaście',), + 5: ('piętnaście',), + 6: ('szesnaście',), + 7: ('siedemnaście',), + 8: ('osiemnaście',), + 9: ('dziewiętnaście',), +} + + +TWENTIES = { + 2: ('dwadzieścia',), + 3: ('trzydzieści',), + 4: ('czterdzieści',), + 5: ('pięćdziesiąt',), + 6: ('sześćdziesiąt',), + 7: ('siedemdziesiąt',), + 8: ('osiemdziesiąt',), + 9: ('dziewięćdziesiąt',), +} + +TWENTIES_ORDINALS = { + 2: ('dwudziesty', "dwudziesto"), + 3: ('trzydziesty', "trzydiesto"), + 4: ('czterdziesty', "czterdziesto"), + 5: ('pięćdziesiąty', "pięćdziesięcio"), + 6: ('sześćdziesiąty', "sześćdziesięcio"), + 7: ('siedemdziesiąty', "siedemdziesięcio"), + 8: ('osiemdziesiąty', "osiemdziesięcio"), + 9: ('dziewięćdziesiąty', "dziewięćdziesięcio"), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dwieście',), + 3: ('trzysta',), + 4: ('czterysta',), + 5: ('pięćset',), + 6: ('sześćset',), + 7: ('siedemset',), + 8: ('osiemset',), + 9: ('dziewięćset',), +} + +HUNDREDS_ORDINALS = { + 1: ('setny', "stu"), + 2: ('dwusetny', "dwustu"), + 3: ('trzysetny', "trzystu"), + 4: ('czterysetny', "czterystu"), + 5: ('pięćsetny', "pięcset"), + 6: ('sześćsetny', "sześćset"), + 7: ('siedemsetny', "siedemset"), + 8: ('osiemsetny', "ośiemset"), + 9: ('dziewięćsetny', "dziewięćset"), +} + +THOUSANDS = { + 1: ('tysiąc', 'tysiące', 'tysięcy'), # 10^3 +} + +prefixes_ordinal = { + 1: "tysięczny", + 2: "milionowy", + 3: "milairdowy" +} + +prefixes = ( # 10^(6*x) + "mi", # 10^6 + "bi", # 10^12 + "try", # 10^18 + "kwadry", # 10^24 + "kwinty", # 10^30 + "seksty", # 10^36 + "septy", # 10^42 + "okty", # 10^48 + "nony", # 10^54 + "decy" # 10^60 +) +suffixes = ("lion", "liard") # 10^x or 10^(x+3) + +for idx, (p, s) in enumerate(itertools.product(prefixes, suffixes)): + name = p + s + THOUSANDS[idx+2] = (name, name + 'y', name + 'ów') + + +class Num2Word_PL(Num2Word_Base): + CURRENCY_FORMS = { + 'PLN': ( + ('złoty', 'złote', 'złotych'), ('grosz', 'grosze', 'groszy') + ), + 'EUR': ( + ('euro', 'euro', 'euro'), ('cent', 'centy', 'centów') + ), + 'USD': ( + ( + 'dolar amerykański', + 'dolary amerykańskie', + 'dolarów amerykańskich' + ), + ( + 'cent', + 'centy', + 'centów' + ) + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "przecinek" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 5 > n % 10 > 1 and (n % 100 < 10 or n % 100 > 20): + form = 1 + else: + form = 2 + return forms[form] + + def last_fragment_to_ordinal(self, last, words, level): + n1, n2, n3 = get_digits(last) + last_two = n2*10+n1 + if last_two == 0: + words.append(HUNDREDS_ORDINALS[n3][level]) + elif level == 1 and last == 1: + return + elif last_two < 20: + if n3 > 0: + words.append(HUNDREDS[n3][level]) + words.append(ONES_ORDINALS[last_two][level]) + elif last_two % 10 == 0: + if n3 > 0: + words.append(HUNDREDS[n3][level]) + words.append(TWENTIES_ORDINALS[n2][level]) + else: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES_ORDINALS[n2][0]) + words.append(ONES_ORDINALS[n1][0]) + + def to_ordinal(self, number): + if number % 1 != 0: + raise NotImplementedError() + words = [] + fragments = list(splitbyx(str(number), 3)) + level = 0 + last = fragments[-1] + while last == 0: + level = level+1 + fragments.pop() + last = fragments[-1] + if len(fragments) > 1: + pre_part = self._int2word(number-(last*1000**level)) + words.append(pre_part) + self.last_fragment_to_ordinal(last, words, 0 if level == 0 else 1) + output = " ".join(words) + if last == 1 and level > 0 and output != "": + output = output + " " + if level > 0: + output = output + prefixes_ordinal[level] + return output + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/build/lib/num2words/lang_PT.py b/ext/py/num2words/build/lib/num2words/lang_PT.py new file mode 100644 index 0000000..ddfa771 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_PT.py @@ -0,0 +1,241 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, unicode_literals + +import re + +from .lang_EU import Num2Word_EU + +DOLLAR = ('dólar', 'dólares') +CENTS = ('cêntimo', 'cêntimos') + + +class Num2Word_PT(Num2Word_EU): + + CURRENCY_FORMS = { + 'AUD': (DOLLAR, CENTS), + 'CAD': (DOLLAR, CENTS), + 'EUR': (('euro', 'euros'), CENTS), + 'GBP': (('libra', 'libras'), ('péni', 'pence')), + 'USD': (DOLLAR, CENTS), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "ilião" + + def setup(self): + super(Num2Word_PT, self).setup() + lows = ["quatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menos " + self.pointword = "vírgula" + self.exclude_title = ["e", "vírgula", "menos"] + + self.mid_numwords = [ + (1000, "mil"), (100, "cem"), (90, "noventa"), + (80, "oitenta"), (70, "setenta"), (60, "sessenta"), + (50, "cinquenta"), (40, "quarenta"), (30, "trinta") + ] + self.low_numwords = [ + "vinte", "dezanove", "dezoito", "dezassete", "dezasseis", + "quinze", "catorze", "treze", "doze", "onze", "dez", + "nove", "oito", "sete", "seis", "cinco", "quatro", "três", "dois", + "um", "zero" + ] + self.ords = [ + { + 0: "", + 1: "primeiro", + 2: "segundo", + 3: "terceiro", + 4: "quarto", + 5: "quinto", + 6: "sexto", + 7: "sétimo", + 8: "oitavo", + 9: "nono", + }, + { + 0: "", + 1: "décimo", + 2: "vigésimo", + 3: "trigésimo", + 4: "quadragésimo", + 5: "quinquagésimo", + 6: "sexagésimo", + 7: "septuagésimo", + 8: "octogésimo", + 9: "nonagésimo", + }, + { + 0: "", + 1: "centésimo", + 2: "ducentésimo", + 3: "tricentésimo", + 4: "quadrigentésimo", + 5: "quingentésimo", + 6: "seiscentésimo", + 7: "septigentésimo", + 8: "octigentésimo", + 9: "nongentésimo", + }, + ] + self.thousand_separators = { + 3: "milésimo", + 6: "milionésimo", + 9: "milésimo milionésimo", + 12: "bilionésimo", + 15: "milésimo bilionésimo" + } + self.hundreds = { + 1: "cento", + 2: "duzentos", + 3: "trezentos", + 4: "quatrocentos", + 5: "quinhentos", + 6: "seiscentos", + 7: "setecentos", + 8: "oitocentos", + 9: "novecentos", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "um" + elif cnum == 100 and not nnum % 1000 == 0: + ctext = "cento" + + if nnum < cnum: + if cnum < 100: + return ("%s e %s" % (ctext, ntext), cnum + nnum) + return ("%s e %s" % (ctext, ntext), cnum + nnum) + + elif (not nnum % 1000000000) and cnum > 1: + ntext = ntext[:-4] + "liões" + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-4] + "lhões" + # correct "milião" to "milhão" + if ntext == 'milião': + ntext = 'milhão' + if nnum == 100: + ctext = self.hundreds[cnum] + ntext = "" + + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_cardinal(self, value): + result = super(Num2Word_PT, self).to_cardinal(value) + + # Transforms "mil e cento e catorze" into "mil cento e catorze" + # Transforms "cem milhões e duzentos mil e duzentos e dez" em "cem + # milhões duzentos mil duzentos e dez" but "cem milhões e duzentos + # mil e duzentos" in "cem milhões duzentos mil e duzentos" and not in + # "cem milhões duzentos mil duzentos" + for ext in ( + 'mil', 'milhão', 'milhões', 'mil milhões', + 'bilião', 'biliões', 'mil biliões'): + if re.match('.*{} e \\w*entos? (?=.*e)'.format(ext), result): + result = result.replace( + '{} e'.format(ext), '{}'.format(ext) + ) + + return result + + # for the ordinal conversion the code is similar to pt_BR code, + # although there are other rules that are probably more correct in + # Portugal. Concerning numbers from 2000th on, saying "dois + # milésimos" instead of "segundo milésimo" (the first number + # would be used in the cardinal form instead of the ordinal) is better. + # This was not implemented. + # source: + # https://ciberduvidas.iscte-iul.pt/consultorio/perguntas/a-forma-por-extenso-de-2000-e-de-outros-ordinais/16428 + def to_ordinal(self, value): + # Before changing this function remember this is used by pt-BR + # so act accordingly + self.verify_ordinal(value) + + result = [] + value = str(value) + thousand_separator = '' + + for idx, char in enumerate(value[::-1]): + if idx and idx % 3 == 0: + thousand_separator = self.thousand_separators[idx] + + if char != '0' and thousand_separator: + # avoiding "segundo milionésimo milésimo" for 6000000, + # for instance + result.append(thousand_separator) + thousand_separator = '' + + result.append(self.ords[idx % 3][int(char)]) + + result = ' '.join(result[::-1]) + result = result.strip() + result = re.sub('\\s+', ' ', result) + + if result.startswith('primeiro') and value != '1': + # avoiding "primeiro milésimo", "primeiro milionésimo" and so on + result = result[9:] + + return result + + def to_ordinal_num(self, value): + # Before changing this function remember this is used by pt-BR + # so act accordingly + self.verify_ordinal(value) + return "%sº" % (value) + + def to_year(self, val, longval=True): + # Before changing this function remember this is used by pt-BR + # so act accordingly + if val < 0: + return self.to_cardinal(abs(val)) + ' antes de Cristo' + return self.to_cardinal(val) + + def to_currency(self, val, currency='EUR', cents=True, separator=' e', + adjective=False): + # change negword because base.to_currency() does not need space after + backup_negword = self.negword + self.negword = self.negword[:-1] + result = super(Num2Word_PT, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # undo the change on negword + self.negword = backup_negword + + # transforms "milhões euros" em "milhões de euros" + cr1, _ = self.CURRENCY_FORMS[currency] + + for ext in ( + 'milhão', 'milhões', 'bilião', + 'biliões', 'trilião', 'triliões'): + if re.match('.*{} (?={})'.format(ext, cr1[1]), result): + result = result.replace( + '{}'.format(ext), '{} de'.format(ext), 1 + ) + # do not print "e zero cêntimos" + result = result.replace(' e zero cêntimos', '') + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_PT_BR.py b/ext/py/num2words/build/lib/num2words/lang_PT_BR.py new file mode 100644 index 0000000..2aea06c --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_PT_BR.py @@ -0,0 +1,115 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA +from __future__ import division, unicode_literals + +import re + +from . import lang_PT + + +class Num2Word_PT_BR(lang_PT.Num2Word_PT): + def set_high_numwords(self, high): + max = 3 + 3*len(high) + for word, n in zip(high, range(max, 3, -3)): + self.cards[10**n] = word + "ilhão" + + def setup(self): + super(Num2Word_PT_BR, self).setup() + + self.low_numwords[1] = 'dezenove' + self.low_numwords[3] = 'dezessete' + self.low_numwords[4] = 'dezesseis' + + self.thousand_separators = { + 3: "milésimo", + 6: "milionésimo", + 9: "bilionésimo", + 12: "trilionésimo", + 15: "quadrilionésimo" + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "um" + elif cnum == 100 and nnum % 1000 != 0: + ctext = "cento" + + if nnum < cnum: + if cnum < 100: + return ("%s e %s" % (ctext, ntext), cnum + nnum) + return ("%s e %s" % (ctext, ntext), cnum + nnum) + + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-4] + "lhões" + + if nnum == 100: + ctext = self.hundreds[cnum] + ntext = "" + + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_cardinal(self, value): + result = lang_PT.Num2Word_EU.to_cardinal(self, value) + + # Transforms "mil E cento e catorze reais" into "mil, cento e catorze + # reais" + for ext in ( + 'mil', 'milhão', 'milhões', 'bilhão', 'bilhões', + 'trilhão', 'trilhões', 'quatrilhão', 'quatrilhões'): + if re.match('.*{} e \\w*entos? (?=.*e)'.format(ext), result): + result = result.replace( + '{} e'.format(ext), '{},'.format(ext), 1 + ) + + return result + + def to_currency(self, val, longval=True): + integer_part, decimal_part = ('%.2f' % val).split('.') + + result = self.to_cardinal(int(integer_part)) + + appended_currency = False + for ext in ( + 'milhão', 'milhões', 'bilhão', 'bilhões', + 'trilhão', 'trilhões', 'quatrilhão', 'quatrilhões'): + if result.endswith(ext): + result += ' de reais' + appended_currency = True + + if result in ['um', 'menos um']: + result += ' real' + appended_currency = True + if not appended_currency: + result += ' reais' + + if int(decimal_part): + cents = self.to_cardinal(int(decimal_part)) + result += ' e ' + cents + + if cents == 'um': + result += ' centavo' + else: + result += ' centavos' + + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_RO.py b/ext/py/num2words/build/lib/num2words/lang_RO.py new file mode 100644 index 0000000..feb9610 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_RO.py @@ -0,0 +1,174 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_RO(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "iliard/e" + MEGA_SUFFIX = "ilion" + # inflection for mi/billion follows different rule + MEGA_SUFFIX_I = "ilioane" + GIGA_SUFFIX_I = "iliarde" + + def setup(self): + super(Num2Word_RO, self).setup() + + self.negword = "minus " + self.pointword = "virgulă" + self.exclude_title = ["și", "virgulă", "minus"] + self.errmsg_toobig = ( + "Numărul e prea mare pentru a \ +fi convertit în cuvinte (abs(%s) > %s)." + ) + self.mid_numwords = [(1000, "mie/i"), (100, "sută/e"), + (90, "nouăzeci"), (80, "optzeci"), + (70, "șaptezeci"), (60, "șaizeci"), + (50, "cincizeci"), (40, "patruzeci"), + (30, "treizeci")] + self.low_numwords = ["douăzeci", "nouăsprezece", "optsprezece", + "șaptesprezece", "șaisprezece", "cincisprezece", + "paisprezece", "treisprezece", "doisprezece", + "unsprezece", "zece", "nouă", "opt", "șapte", + "șase", "cinci", "patru", "trei", "doi", + "unu", "zero"] + self.gen_numwords = ["", "o", "două", "trei", "patru", "cinci", + "șase", "șapte", "opt", "nouă"] + self.gen_numwords_n = ["", "un", "două", "trei", "patru", "cinci", + "șase", "șapte", "opt", "nouă"] + self.numwords_inflections = { + 100: self.gen_numwords, + 1000: self.gen_numwords, + 1000000: self.gen_numwords_n, + 1000000000: self.gen_numwords_n + } + self.ords = {"unu": "primul", + "doi": "al doilea", + "three": "al treilea", + "cinci": "al cincilea", + "opt": "al optulea", + "nouă": "al nouălea", + "doisprezece": "al doisprezecelea"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + rtext_i = self.inflect(rnum, rtext, lnum) + if 1 <= lnum < 10: + if rnum not in self.numwords_inflections: + return (rtext, rnum) + else: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + lresult = (self.numwords_inflections[rnum][lnum], rtext_i) + return ("%s %s" % lresult, rnum) + elif 10 < lnum < 100: + if lnum % 10 == 0: + if rnum in self.numwords_inflections: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + return ("%s %s" % (ltext, rtext_i), lnum * rnum) + else: + return ("%s și %s" % (ltext, rtext), lnum + rnum) + else: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + ltext_i = ltext if lnum % 10 != 2 \ + else ltext.replace("doi", "două") + return ("%s %s" % (ltext_i, rtext_i), lnum * rnum) + else: + if rnum in self.numwords_inflections: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + return ("%s %s" % (ltext, rtext_i), lnum * rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "primul" + else: + value = self.to_cardinal(value) + return "al %slea" % (value) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + if value == 1: + return "1-ul" + return "al %s-lea" % (value) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif n == 0 or (n % 100 > 0 and n % 100 < 20): + form = 1 + else: + form = 2 + return forms[form] + + def inflect(self, value, text, side_effect=-1): + text = text.split("/") + result = text[0] + if len(text) > 1: + forms = [ + text[0], + text[0][:-1] + text[1], + "de " + text[0][:-1] + text[1] + ] + result = self.pluralize(side_effect, forms) + # mega inflections are different + if side_effect > 1 and result.endswith(self.MEGA_SUFFIX): + result = result.replace(self.MEGA_SUFFIX, self.MEGA_SUFFIX_I) + elif side_effect > 1 and result.endswith("iliare"): + result = result.replace("iliare", self.GIGA_SUFFIX_I) + return result + + def to_currency(self, val, currency="RON", cents=False, separator=" și", + adjective=False): + # romanian currency has a particularity for numeral: one + self.gen_numwords[1] = "una" + result = super(Num2Word_RO, self).to_currency( + int(round(val*100)), + currency, + True, + separator, + adjective + ) + self.gen_numwords[1] = "o" # revert numeral + return result.replace( + "unu leu", "un leu" + ).replace( + "unu ban", "un ban" + ).replace( + # if the romanian low text is 0, it is not usually printed + separator + " zero bani", "" + ) + + def to_year(self, val, suffix=None, longval=True): + result = super(Num2Word_RO, self).to_year( + val, + longval=longval + ) + # for years we want the era negation e.g. B.C., in our case + # it's î.Hr. or î.e.n + if result.startswith(self.negword): + result = result.replace(self.negword, "") + suffix = "î.Hr." if not suffix else suffix + if suffix: + result = "".join([ + result, + " ", + suffix + ]) + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_RU.py b/ext/py/num2words/build/lib/num2words/lang_RU.py new file mode 100644 index 0000000..2ff1c0a --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_RU.py @@ -0,0 +1,501 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +GENDER_PLURAL_INDEXES = { + 'm': 0, 'masculine': 0, 'м': 0, 'мужской': 0, + 'f': 1, 'feminine': 1, 'ж': 0, 'женский': 0, + 'n': 2, 'neuter': 2, 'с': 0, 'средний': 0, + 'p': 3, 'plural': 3 +} +CASE_INDEXES = { + 'n': 0, 'nominative': 0, 'и': 0, 'именительный': 0, + 'g': 1, 'genitive': 1, 'р': 1, 'родительный': 1, + 'd': 2, 'dative': 2, 'д': 2, 'дательный': 2, + 'a': 3, 'accusative': 3, 'в': 3, 'винительный': 3, + 'i': 4, 'instrumental': 4, 'т': 4, 'творительный': 4, + 'p': 5, 'prepositional': 5, 'п': 5, 'предложный': 5 +} +# Default values +D_CASE = 'n' +D_PLURAL = False +D_GENDER = 'm' +D_ANIMATE = True + + +def get_num_element(cases_dict, num, **kwargs): + return case_classifier_element(cases_dict[num], **kwargs) + + +def case_classifier_element(classifier, case=D_CASE, plural=D_PLURAL, + gender=D_GENDER, animate=D_ANIMATE): + case = classifier[CASE_INDEXES[case]] + if isinstance(case, str): + return case + + if plural: + gender = case[GENDER_PLURAL_INDEXES['plural']] + else: + gender = case[GENDER_PLURAL_INDEXES[gender]] + if isinstance(gender, str): + return gender + + if animate: + return gender[0] + return gender[1] + + +# format: +# {n : [case_1 .. case_5]} +# case: text or [gender_1 .. gender_3 plural_4] +# gender: text or [animate, inanimate] +ONES = { + 0: ['ноль', 'ноля', 'нолю', 'ноль', 'нолём', 'ноле'], + 1: [['один', 'одна', 'одно', 'одни'], + ['одного', 'одной', 'одного', 'одних'], + ['одному', 'одной', 'одному', 'одним'], + [['одного', 'один'], 'одну', 'одно', ['одних', 'одни']], + ['одним', 'одной', 'одним', 'одними'], + ['одном', 'одной', 'одном', 'одних']], + 2: [['два', 'две', 'два', 'двое'], + ['двух'] * 3 + ['двоих'], + ['двум'] * 3 + ['двоим'], + [['двух', 'два'], ['двух', 'две'], 'два', 'двоих'], + ['двумя'] * 3 + ['двоими'], + ['двух'] * 3 + ['двоих']], + 3: [['три'] * 3 + ['трое'], + ['трёх'] * 3 + ['троих'], + ['трём'] * 3 + ['троим'], + [['трёх', 'три'], ['трёх', 'три'], 'три', 'троих'], + ['тремя'] * 3 + ['троими'], + ['трёх'] * 3 + ['троих']], + 4: [['четыре'] * 3 + ['четверо'], + ['четырёх'] * 3 + ['четверых'], + ['четырём'] * 3 + ['четверым'], + [['четырёх', 'четыре'], ['четырёх', 'четыре'], 'четыре', 'четверых'], + ['четырьмя'] * 3 + ['четверыми'], + ['четырёх'] * 3 + ['четверых']], + 5: ['пять', 'пяти', 'пяти', 'пять', 'пятью', 'пяти'], + 6: ['шесть', 'шести', 'шести', 'шесть', 'шестью', 'шести'], + 7: ['семь', 'семи', 'семи', 'семь', 'семью', 'семи'], + 8: ['восемь', 'восьми', 'восьми', 'восемь', 'восемью', 'восьми'], + 9: ['девять', 'девяти', 'девяти', 'девять', 'девятью', 'девяти'] +} + +ONES_ORD_PREFIXES = {0: 'нулев', 1: 'перв', 2: 'втор', 4: 'четвёрт', 5: 'пят', + 6: 'шест', 7: 'седьм', 8: 'восьм', 9: 'девят'} +ONES_ORD_POSTFIXES_GROUPS = {0: 0, 1: 1, 2: 0, 4: 1, 5: 1, 6: 0, 7: 0, 8: 0, + 9: 1} +CASE_POSTFIXES = [[{0: 'ой', 1: 'ый'}, 'ая', 'ое', 'ые'], + ['ого', 'ой', 'ого', 'ых'], + ['ому', 'ой', 'ому', 'ым'], + [['ого', {0: 'ой', 1: 'ый'}], 'ую', 'ое', ['ых', 'ые']], + ['ым', 'ой', 'ым', 'ыми'], + ['ом', 'ой', 'ом', 'ых']] + + +def get_cases(prefix, post_group): + return [[ + prefix + postfix if isinstance(postfix, str) else + [prefix + animate if isinstance(animate, str) else + prefix + animate[post_group] + for animate in postfix] if isinstance(postfix, list) else + prefix + postfix[post_group] + for postfix in case] + for case in CASE_POSTFIXES] + + +def get_ord_classifier(prefixes, post_groups): + if isinstance(post_groups, int): + post_groups = {n: post_groups for n, i in prefixes.items()} + return { + num: get_cases(prefix, post_groups[num]) + for num, prefix in prefixes.items() + } + + +ONES_ORD = { + 3: [['третий', 'третья', 'третье', 'третьи'], + ['третьего', 'третьей', 'третьего', 'третьих'], + ['третьему', 'третьей', 'третьему', 'третьим'], + [['третьего', 'третий'], 'третью', 'третье', ['третьих', 'третьи']], + ['третьим', 'третьей', 'третьим', 'третьими'], + ['третьем', 'третьей', 'третьем', 'третьих']], +} +ONES_ORD.update( + get_ord_classifier(ONES_ORD_PREFIXES, ONES_ORD_POSTFIXES_GROUPS) +) + +TENS_PREFIXES = {1: 'один', 2: 'две', 3: 'три', 4: 'четыр', 5: 'пят', + 6: 'шест', 7: 'сем', 8: 'восем', 9: 'девят'} +TENS_POSTFIXES = ['надцать', 'надцати', 'надцати', 'надцать', 'надцатью', + 'надцати'] +TENS = {0: ['десять', 'десяти', 'десяти', 'десять', 'десятью', 'десяти']} +TENS.update({ + num: [prefix + postfix for postfix in TENS_POSTFIXES] + for num, prefix in TENS_PREFIXES.items() +}) + +TENS_ORD_PREFIXES = {0: "десят"} +TENS_ORD_PREFIXES.update({ + num: prefix + 'надцат' for num, prefix in TENS_PREFIXES.items() +}) +TENS_ORD = get_ord_classifier(TENS_ORD_PREFIXES, 1) + +TWENTIES = { + 2: ['двадцать', 'двадцати', 'двадцати', 'двадцать', 'двадцатью', + 'двадцати'], + 3: ['тридцать', 'тридцати', 'тридцати', 'тридцать', 'тридцатью', + 'тридцати'], + 4: ['сорок', 'сорока', 'сорока', 'сорок', 'сорока', 'сорока'], + 5: ['пятьдесят', 'пятидесяти', 'пятидесяти', 'пятьдесят', 'пятьюдесятью', + 'пятидесяти'], + 6: ['шестьдесят', 'шестидесяти', 'шестидесяти', 'шестьдесят', + 'шестьюдесятью', 'шестидесяти'], + 7: ['семьдесят', 'семидесяти', 'семидесяти', 'семьдесят', 'семьюдесятью', + 'семидесяти'], + 8: ['восемьдесят', 'восьмидесяти', 'восьмидесяти', 'восемьдесят', + 'восемьюдесятью', 'восьмидесяти'], + 9: ['девяносто', 'девяноста', 'девяноста', 'девяносто', 'девяноста', + 'девяноста'], +} + +TWENTIES_ORD_PREFIXES = {2: 'двадцат', 3: 'тридцат', 4: 'сороков', + 5: 'пятидесят', 6: 'шестидесят', 7: 'семидесят', + 8: 'восьмидесят', 9: 'девяност'} +TWENTIES_ORD_POSTFIXES_GROUPS = {2: 1, 3: 1, 4: 0, 5: 1, 6: 1, 7: 1, 8: 1, + 9: 1} +TWENTIES_ORD = get_ord_classifier(TWENTIES_ORD_PREFIXES, + TWENTIES_ORD_POSTFIXES_GROUPS) + +HUNDREDS = { + 1: ['сто', 'ста', 'ста', 'сто', 'ста', 'ста'], + 2: ['двести', 'двухсот', 'двумстам', 'двести', 'двумястами', 'двухстах'], + 3: ['триста', 'трёхсот', 'трёмстам', 'триста', 'тремястами', 'трёхстах'], + 4: ['четыреста', 'четырёхсот', 'четырёмстам', 'четыреста', 'четырьмястами', + 'четырёхстах'], + 5: ['пятьсот', 'пятисот', 'пятистам', 'пятьсот', 'пятьюстами', 'пятистах'], + 6: ['шестьсот', 'шестисот', 'шестистам', 'шестьсот', 'шестьюстами', + 'шестистах'], + 7: ['семьсот', 'семисот', 'семистам', 'семьсот', 'семьюстами', 'семистах'], + 8: ['восемьсот', 'восьмисот', 'восьмистам', 'восемьсот', 'восемьюстами', + 'восьмистах'], + 9: ['девятьсот', 'девятисот', 'девятистам', 'девятьсот', 'девятьюстами', + 'девятистах'], +} + +HUNDREDS_ORD_PREFIXES = { + num: case[1] if num != 1 else 'сот' for num, case in HUNDREDS.items() +} +HUNDREDS_ORD = get_ord_classifier(HUNDREDS_ORD_PREFIXES, 1) + + +THOUSANDS_PREFIXES = {2: 'миллион', 3: 'миллиард', 4: 'триллион', + 5: 'квадриллион', 6: 'квинтиллион', 7: 'секстиллион', + 8: 'септиллион', 9: 'октиллион', 10: 'нониллион'} +THOUSANDS_POSTFIXES = [('', 'а', 'ов'), + ('а', 'ов', 'ов'), + ('у', 'ам', 'ам'), + ('', 'а', 'ов'), + ('ом', 'ами', 'ами'), + ('е', 'ах', 'ах')] +THOUSANDS = { + 1: [['тысяча', 'тысячи', 'тысяч'], + ['тысячи', 'тысяч', 'тысяч'], + ['тысяче', 'тысячам', 'тысячам'], + ['тысячу', 'тысячи', 'тысяч'], + ['тысячей', 'тысячами', 'тысячами'], + ['тысяче', 'тысячах', 'тысячах']] +} +THOUSANDS.update({ + num: [ + [prefix + postfix for postfix in case] for case in THOUSANDS_POSTFIXES + ] for num, prefix in THOUSANDS_PREFIXES.items() +}) + + +def get_thousands_elements(num, case): + return THOUSANDS[num][CASE_INDEXES[case]] + + +THOUSANDS_ORD_PREFIXES = {1: 'тысячн'} +THOUSANDS_ORD_PREFIXES.update({ + num: prefix + 'н' for num, prefix in THOUSANDS_PREFIXES.items() +}) +THOUSANDS_ORD = get_ord_classifier(THOUSANDS_ORD_PREFIXES, 1) + + +class Num2Word_RU(Num2Word_Base): + CURRENCY_FORMS = { + 'RUB': ( + ('рубль', 'рубля', 'рублей'), ('копейка', 'копейки', 'копеек') + ), + 'EUR': ( + ('евро', 'евро', 'евро'), ('цент', 'цента', 'центов') + ), + 'USD': ( + ('доллар', 'доллара', 'долларов'), ('цент', 'цента', 'центов') + ), + 'UAH': ( + ('гривна', 'гривны', 'гривен'), ('копейка', 'копейки', 'копеек') + ), + 'KZT': ( + ('тенге', 'тенге', 'тенге'), ('тиын', 'тиына', 'тиынов') + ), + 'BYN': ( + ('белорусский рубль', 'белорусских рубля', 'белорусских рублей'), + ('копейка', 'копейки', 'копеек') + ), + 'UZS': ( + ('сум', 'сума', 'сумов'), ('тийин', 'тийина', 'тийинов') + ), + 'PLN': ( + ('польский злотый', 'польских слотых', 'польских злотых'), + ('грош', 'гроша', 'грошей') + ), + } + + def setup(self): + self.negword = "минус" + self.pointword = ('целая', 'целых', 'целых') + self.pointword_ord = get_cases("цел", 1) + + def to_cardinal(self, number, case=D_CASE, plural=D_PLURAL, + gender=D_GENDER, animate=D_ANIMATE): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + decimal_part = self._int2word(int(right), cardinal=True, + gender='f') + return u'%s %s %s %s' % ( + self._int2word(int(left), cardinal=True, gender='f'), + self.pluralize(int(left), self.pointword), + decimal_part, + self.__decimal_bitness(right) + ) + else: + return self._int2word(int(n), cardinal=True, case=case, + plural=plural, gender=gender, + animate=animate) + + def __decimal_bitness(self, n): + if n[-1] == "1" and n[-2:] != "11": + return self._int2word(10 ** len(n), cardinal=False, gender='f') + return self._int2word(10 ** len(n), cardinal=False, case='g', + plural=True) + + def pluralize(self, n, forms): + if n % 100 in (11, 12, 13, 14): + return forms[2] + if n % 10 == 1: + return forms[0] + if n % 10 in (2, 3, 4): + return forms[1] + return forms[2] + + def to_ordinal(self, number, case=D_CASE, plural=D_PLURAL, gender=D_GENDER, + animate=D_ANIMATE): + self.verify_ordinal(number) + n = str(number).replace(',', '.') + return self._int2word(int(n), cardinal=False, case=case, plural=plural, + gender=gender, animate=animate) + + def _money_verbose(self, number, currency): + if currency == 'UAH': + return self._int2word(number, gender='f') + return self._int2word(number, gender='m') + + def _cents_verbose(self, number, currency): + if currency in ('UAH', 'RUB', 'BYN'): + return self._int2word(number, gender='f') + return self._int2word(number, gender='m') + + def _int2word(self, n, feminine=False, cardinal=True, case=D_CASE, + plural=D_PLURAL, gender=D_GENDER, animate=D_ANIMATE): + """ + n: number + feminine: not used - for backward compatibility + cardinal:True - cardinal + False - ordinal + case: 'n' - nominative + 'g' - genitive + 'd' - dative + 'a' - accusative + 'i' - instrumental + 'p' - prepositional + plural: True - plural + False - singular + gender: 'f' - masculine + 'm' - feminine + 'n' - neuter + animate: True - animate + False - inanimate + """ + # For backward compatibility + if feminine: + gender = 'f' + + kwargs = {'case': case, 'plural': plural, 'gender': gender, + 'animate': animate} + + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n), + cardinal=cardinal, + **kwargs)]) + + if n == 0: + return get_num_element(ONES, 0, **kwargs) if cardinal else \ + get_num_element(ONES_ORD, 0, **kwargs) + + words = [] + chunks = list(splitbyx(str(n), 3)) + ord_join = chunks[-1] == 0 # join in one word if ending on 'тысячный' + i = len(chunks) + rightest_nonzero_chunk_i = i - 1 - max( + [i for i, e in enumerate(chunks) if e != 0]) + for x in chunks: + chunk_words = [] + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if cardinal: + chunk_words.extend( + self.__chunk_cardianl(n3, n2, n1, i, **kwargs) + ) + if i > 0: + chunk_words.append( + self.pluralize(x, get_thousands_elements(i, case))) + # ordinal, not joined like 'двухтысячный' + elif not (ord_join and rightest_nonzero_chunk_i == i): + chunk_words.extend( + self.__chunk_ordinal(n3, n2, n1, i, **kwargs) + ) + if i > 0: + t_case = case if rightest_nonzero_chunk_i == i else 'n' + chunk_words.append( + self.pluralize(x, get_thousands_elements(i, t_case))) + # ordinal, joined + else: + chunk_words.extend( + self.__chunk_ordinal_join(n3, n2, n1, i, **kwargs) + ) + if i > 0: + chunk_words.append( + get_num_element(THOUSANDS_ORD, i, **kwargs)) + + chunk_words = [''.join(chunk_words)] + + words.extend(chunk_words) + + return ' '.join(words) + + def __chunk_cardianl(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + if hundreds > 0: + words.append(get_num_element(HUNDREDS, hundreds, **kwargs)) + + if tens > 1: + words.append(get_num_element(TWENTIES, tens, **kwargs)) + + if tens == 1: + words.append(get_num_element(TENS, ones, **kwargs)) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES, ones, **kwargs) + elif chunk_num == 1: + # Thousands are feminine + f_kwargs = kwargs.copy() + f_kwargs['gender'] = 'f' + w_ones = get_num_element(ONES, ones, **f_kwargs) + else: + w_ones = get_num_element(ONES, ones, **kwargs) + + words.append(w_ones) + return words + + def __chunk_ordinal(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + if hundreds > 0: + if tens == 0 and ones == 0: + words.append(get_num_element(HUNDREDS_ORD, hundreds, **kwargs)) + else: + words.append(get_num_element(HUNDREDS, hundreds)) + + if tens > 1: + if ones == 0: + words.append(get_num_element(TWENTIES_ORD, tens, **kwargs)) + else: + words.append(get_num_element(TWENTIES, tens)) + + if tens == 1: + words.append(get_num_element(TENS_ORD, ones, **kwargs)) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES_ORD, ones, **kwargs) + # тысячный, миллионнный и т.д. + elif chunk_num > 0 and ones == 1 and hundreds == 0 and tens == 0: + w_ones = None + elif chunk_num == 1: + # Thousands are feminine + w_ones = get_num_element(ONES, ones, gender='f') + else: + w_ones = get_num_element(ONES, ones) + + if w_ones: + words.append(w_ones) + + return words + + def __chunk_ordinal_join(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + + if hundreds > 1: + words.append(get_num_element(HUNDREDS, hundreds, case='g')) + elif hundreds == 1: + words.append(get_num_element(HUNDREDS, hundreds)) # стО, not стА + + if tens == 9: + words.append(get_num_element(TWENTIES, tens)) # девяностО, not А + elif tens > 1: + words.append(get_num_element(TWENTIES, tens, case='g')) + + if tens == 1: + words.append(get_num_element(TENS, ones, case='g')) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES_ORD, ones, **kwargs) + # тысячный, миллионнный и т.д., двадцатиодномиллионный + elif chunk_num > 0 and ones == 1 and tens != 1: + if tens == 0 and hundreds == 0: + w_ones = None + else: + w_ones = get_num_element(ONES, 1, gender='n') + else: + w_ones = get_num_element(ONES, ones, case='g') + + if w_ones: + words.append(w_ones) + + return words diff --git a/ext/py/num2words/build/lib/num2words/lang_SK.py b/ext/py/num2words/build/lib/num2words/lang_SK.py new file mode 100644 index 0000000..35ece02 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_SK.py @@ -0,0 +1,160 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jeden', 'jeden', set()), + 2: ('dva', 'dve', {1, 3, 5, 7, 9}), + 3: ('tri', 'tri', set()), + 4: ('štyri', 'štyri', set()), + 5: ('päť', 'päť', set()), + 6: ('šesť', 'šesť', set()), + 7: ('sedem', 'sedem', set()), + 8: ('osem', 'osem', set()), + 9: ('deväť', 'deväť', set()), +} + +TENS = { + 0: ('desať',), + 1: ('jedenásť',), + 2: ('dvanásť',), + 3: ('trinásť',), + 4: ('štrnásť',), + 5: ('pätnásť',), + 6: ('šestnásť',), + 7: ('sedemnásť',), + 8: ('osemnásť',), + 9: ('devätnásť',), +} + +TWENTIES = { + 2: ('dvadsať',), + 3: ('tridsať',), + 4: ('štyridsať',), + 5: ('päťdesiat',), + 6: ('šesťdesiat',), + 7: ('sedemdesiat',), + 8: ('osemdesiat',), + 9: ('deväťdesiat',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvesto',), + 3: ('tristo',), + 4: ('štyristo',), + 5: ('päťsto',), + 6: ('šesťsto',), + 7: ('sedemsto',), + 8: ('osemsto',), + 9: ('deväťsto',), +} + +THOUSANDS = { + 1: ('tisíc', 'tisíc', 'tisíc'), # 10^3 + 2: ('milión', 'milióny', 'miliónov'), # 10^6 + 3: ('miliarda', 'miliardy', 'miliárd'), # 10^9 + 4: ('bilión', 'bilióny', 'biliónov'), # 10^12 + 5: ('biliarda', 'biliardy', 'biliárd'), # 10^15 + 6: ('trilión', 'trilióny', 'triliónov'), # 10^18 + 7: ('triliarda', 'triliardy', 'triliárd'), # 10^21 + 8: ('kvadrilión', 'kvadrilióny', 'kvadriliónov'), # 10^24 + 9: ('kvadriliarda', 'kvadriliardy', 'kvadriliárd'), # 10^27 + 10: ('kvintilión', 'kvintillióny', 'kvintiliónov'), # 10^30 +} + + +class Num2Word_SK(Num2Word_Base): + CURRENCY_FORMS = { + 'EUR': ( + ('euro', 'eurá', 'eur'), ('cent', 'centy', 'centov') + ), + } + + def setup(self): + self.negword = "mínus" + self.pointword = "celých" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 0 < n < 5: + form = 1 + else: + form = 2 + return forms[form] + + def to_ordinal(self, value): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + word_chunk = [] + + if n3 > 0: + word_chunk.append(HUNDREDS[n3][0]) + + if n2 > 1: + word_chunk.append(TWENTIES[n2][0]) + + if n2 == 1: + word_chunk.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + if n2 == 0 and n3 == 0 and i in ONES[n1][2]: + word_chunk.append(ONES[n1][1]) + else: + word_chunk.append(ONES[n1][0]) + if i > 1 and word_chunk: + word_chunk.append(' ') + if i > 0: + word_chunk.append(self.pluralize(x, THOUSANDS[i])) + words.append(''.join(word_chunk)) + + return ' '.join(words[:-1]) + ''.join(words[-1:]) diff --git a/ext/py/num2words/build/lib/num2words/lang_SL.py b/ext/py/num2words/build/lib/num2words/lang_SL.py new file mode 100644 index 0000000..617b033 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_SL.py @@ -0,0 +1,171 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2015, Blaz Bregar. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_SL(Num2Word_EU): + GIGA_SUFFIX = "ilijard" + MEGA_SUFFIX = "ilijon" + + def setup(self): + super(Num2Word_SL, self).setup() + + self.negword = "minus " + self.pointword = "celih" + self.errmsg_nonnum = "Only numbers may be converted to words." + self.errmsg_toobig = ( + "Number is too large to convert to words (abs(%s) > %s)." + ) + self.exclude_title = [] + + self.mid_numwords = [(1000, "tisoč"), (900, "devetsto"), + (800, "osemsto"), (700, "sedemsto"), + (600, "šeststo"), (500, "petsto"), + (400, "štiristo"), (300, "tristo"), + (200, "dvesto"), (100, "sto"), + (90, "devetdeset"), (80, "osemdeset"), + (70, "sedemdeset"), (60, "šestdeset"), + (50, "petdeset"), (40, "štirideset"), + (30, "trideset")] + self.low_numwords = ["dvajset", "devetnajst", "osemnajst", + "sedemnajst", "šestnajst", "petnajst", + "štirinajst", "trinajst", "dvanajst", + "enajst", "deset", "devet", "osem", "sedem", + "šest", "pet", "štiri", "tri", "dve", "ena", + "nič"] + self.ords = {"ena": "prv", + "dve": "drug", + "tri": "tretj", + "štiri": "četrt", + "sedem": "sedm", + "osem": "osm", + "sto": "stot", + "tisoč": "tisoč", + "milijon": "milijont" + } + self.ordflag = False + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if ctext.endswith("dve") and self.ordflag and nnum <= 1000000: + ctext = ctext[:len(ctext)-1] + "a" + + if ctext == "dve" and not self.ordflag and nnum < 1000000000: + ctext = "dva" + + if (ctext.endswith("tri") or ctext.endswith("štiri")) and\ + nnum == 1000000 and not self.ordflag: + if ctext.endswith("štiri"): + ctext = ctext[:-1] + ctext = ctext + "je" + + if cnum >= 20 and cnum < 100 and nnum == 2: + ntext = "dva" + + if ctext.endswith("ena") and nnum >= 1000: + ctext = ctext[0:-1] + + if cnum == 1: + if nnum < 10**6 or self.ordflag: + return next + ctext = "" + + if nnum > cnum: + if nnum >= 10**6: + if self.ordflag: + ntext += "t" + + elif cnum == 2: + if ntext.endswith("d"): + ntext += "i" + else: + ntext += "a" + + elif 2 < cnum < 5: + if ntext.endswith("d"): + ntext += "e" + elif not ntext.endswith("d"): + ntext += "i" + + elif ctext.endswith("en"): + if ntext.endswith("d") or ntext.endswith("n"): + ntext += "" + + elif ctext.endswith("dve") and ntext.endswith("n"): + ctext = ctext[:-1] + "a" + ntext += "a" + + elif ctext.endswith("je") and ntext.endswith("n"): + ntext += "i" + + else: + if ntext.endswith("d"): + ntext += "a" + elif ntext.endswith("n"): + ntext += "" + elif ntext.endswith("d"): + ntext += "e" + else: + ntext += "ov" + + if nnum >= 10**2 and self.ordflag is False and ctext: + ctext += " " + + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + ntext, ctext = ctext, ntext + "in" + elif cnum >= 10**2 and self.ordflag is False: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + self.ordflag = True + outword = self.to_cardinal(value) + self.ordflag = False + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + return outword + "i" + + # Is this correct?? + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_currency(self, val, longval=True, old=False): + if old: + return self.to_splitnum(val, hightxt="evro/a/v", + lowtxt="stotin/a/i/ov", + jointxt="in", longval=longval) + return super(Num2Word_SL, self).to_currency(val, jointxt="in", + longval=longval) + + def to_year(self, val, longval=True): + if not (val//100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundert", longval=longval) diff --git a/ext/py/num2words/build/lib/num2words/lang_SR.py b/ext/py/num2words/build/lib/num2words/lang_SR.py new file mode 100644 index 0000000..254209f --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_SR.py @@ -0,0 +1,219 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts, prefix_currency +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jedan', 'jedna'), + 2: ('dva', 'dve'), + 3: ('tri', 'tri'), + 4: ('četiri', 'četiri'), + 5: ('pet', 'pet'), + 6: ('šest', 'šest'), + 7: ('sedam', 'sedam'), + 8: ('osam', 'osam'), + 9: ('devet', 'devet'), +} + +TENS = { + 0: ('deset',), + 1: ('jedanaest',), + 2: ('dvanaest',), + 3: ('trinaest',), + 4: ('četrnaest',), + 5: ('petnaest',), + 6: ('šesnaest',), + 7: ('sedamnaest',), + 8: ('osamnaest',), + 9: ('devetnaest',), +} + +TWENTIES = { + 2: ('dvadeset',), + 3: ('trideset',), + 4: ('četrdeset',), + 5: ('pedeset',), + 6: ('šezdeset',), + 7: ('sedamdeset',), + 8: ('osamdeset',), + 9: ('devedeset',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvesta',), + 3: ('trista',), + 4: ('četristo',), + 5: ('petsto',), + 6: ('šesto',), + 7: ('sedamsto',), + 8: ('osamsto',), + 9: ('devetsto',), +} + +SCALE = { + 0: ('', '', '', False), + 1: ('hiljada', 'hiljade', 'hiljada', True), # 10^3 + 2: ('milion', 'miliona', 'miliona', False), # 10^6 + 3: ('bilion', 'biliona', 'biliona', False), # 10^9 + 4: ('trilion', 'triliona', 'triliona', False), # 10^12 + 5: ('kvadrilion', 'kvadriliona', 'kvadriliona', False), # 10^15 + 6: ('kvintilion', 'kvintiliona', 'kvintiliona', False), # 10^18 + 7: ('sekstilion', 'sekstiliona', 'sekstiliona', False), # 10^21 + 8: ('septilion', 'septiliona', 'septiliona', False), # 10^24 + 9: ('oktilion', 'oktiliona', 'oktiliona', False), # 10^27 + 10: ('nonilion', 'noniliona', 'noniliona', False), # 10^30 +} + + +class Num2Word_SR(Num2Word_Base): + CURRENCY_FORMS = { + 'RUB': ( + ('rublja', 'rublje', 'rublji', True), + ('kopejka', 'kopejke', 'kopejki', True) + ), + 'EUR': ( + ('evro', 'evra', 'evra', False), + ('cent', 'centa', 'centi', False) + ), + 'RSD': ( + ('dinar', 'dinara', 'dinara', False), + ('para', 'pare', 'para', True) + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "zapeta" + + def to_cardinal(self, number, feminine=False): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right), feminine)) + return u'%s %s %s' % ( + self._int2word(int(left), feminine), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n), feminine) + + def pluralize(self, number, forms): + if number % 100 < 10 or number % 100 > 20: + if number % 10 == 1: + form = 0 + elif 1 < number % 10 < 5: + form = 1 + else: + form = 2 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _cents_verbose(self, number, currency): + return self._int2word( + number, + self.CURRENCY_FORMS[currency][1][-1] + ) + + def _int2word(self, number, feminine=False): + if number < 0: + return ' '.join([self.negword, self._int2word(abs(number))]) + + if number == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(number), 3)) + chunk_len = len(chunks) + for chunk in chunks: + chunk_len -= 1 + digit_right, digit_mid, digit_left = get_digits(chunk) + + if digit_left > 0: + words.append(HUNDREDS[digit_left][0]) + + if digit_mid > 1: + words.append(TWENTIES[digit_mid][0]) + + if digit_mid == 1: + words.append(TENS[digit_right][0]) + elif digit_right > 0: + is_feminine = feminine or SCALE[chunk_len][-1] + gender_idx = int(is_feminine) + words.append( + ONES[digit_right][gender_idx] + ) + + if chunk_len > 0 and chunk != 0: + words.append(self.pluralize(chunk, SCALE[chunk_len])) + + return ' '.join(words) + + def to_currency(self, val, currency='EUR', cents=True, separator=',', + adjective=False): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency( + self.CURRENCY_ADJECTIVES[currency], + cr1 + ) + + minus_str = "%s " % self.negword if is_negative else "" + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + return u'%s%s %s%s %s %s' % ( + minus_str, + self.to_cardinal(left, feminine=cr1[-1]), + self.pluralize(left, cr1), + separator, + cents_str, + self.pluralize(right, cr2) + ) diff --git a/ext/py/num2words/build/lib/num2words/lang_SV.py b/ext/py/num2words/build/lib/num2words/lang_SV.py new file mode 100644 index 0000000..4e32841 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_SV.py @@ -0,0 +1,117 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_SV(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "iljarder" + MEGA_SUFFIX = "iljoner" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_SV, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["och", "komma", "minus"] + + self.mid_numwords = [(1000, "tusen"), (100, "hundra"), + (90, "nittio"), (80, "åttio"), (70, "sjuttio"), + (60, "sextio"), (50, "femtio"), (40, "förtio"), + (30, "trettio")] + self.low_numwords = ["tjugo", "nitton", "arton", "sjutton", + "sexton", "femton", "fjorton", "tretton", + "tolv", "elva", "tio", "nio", "åtta", + "sju", "sex", "fem", "fyra", "tre", "två", + "ett", "noll"] + self.ords = {"noll": "nollte", + "ett": "första", + "två": "andra", + "tre": "tredje", + "fyra": "fjärde", + "fem": "femte", + "sex": "sjätte", + "sju": "sjunde", + "åtta": "åttonde", + "nio": "nionde", + "tio": "tionde", + "elva": "elfte", + "tolv": "tolfte", + "tjugo": "tjugonde"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif rnum >= 1000000 and lnum == 1: + return ("%s %s" % ('en', rtext[:-2]), lnum + rnum) + elif rnum >= 1000000 and lnum > 1: + return ("%s %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s%s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(" ") + lastword = outwords[-1] + ending_length = 0 + try: + lastword_ending = self.ords[lastword[-4:]] + ending_length = 4 + except KeyError: + try: + lastword_ending = self.ords[lastword[-3:]] + ending_length = 3 + except KeyError: + lastword_ending = "de" + if lastword_ending == 'de': + lastword_first_part = self.title(lastword)[:] + else: + lastword_first_part = self.title(lastword)[:-ending_length] + lastword_correct = lastword_first_part + lastword_ending + outwords[-1] = lastword_correct + return " ".join(outwords) + + def to_ordinal_num(self, value): + raise NotImplementedError( + "'ordinal_num' is not implemented for swedish language") + + def to_year(self, val, longval=True): + raise NotImplementedError( + "'year' is not implemented for swedish language") + + def to_currency(self, val, longval=True): + raise NotImplementedError( + "'currency' is not implemented for swedish language") diff --git a/ext/py/num2words/build/lib/num2words/lang_TE.py b/ext/py/num2words/build/lib/num2words/lang_TE.py new file mode 100644 index 0000000..274d312 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_TE.py @@ -0,0 +1,169 @@ +# -*- coding: utf-8 -*- + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_TE(Num2Word_EU): + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def setup(self): + self.low_numwords = [ + "తొంభై తొమ్మిది", + "తొంభై ఎనిమిది", + "తొంభై ఏడు", + "తొంభై ఆరు", + "తొంభై అయిదు", + "తొంభై నాలుగు", + "తొంభై మూడు", + "తొంభై రెండు", + "తొంభై ఒకటి", + "తొంభై", + "ఎనభై తొమ్మిది", + "ఎనభై ఎనిమిది", + "ఎనభై ఏడు", + "ఎనభై ఆరు", + "ఎనభై అయిదు", + "ఎనభై నాలుగు", + "ఎనభై మూడు", + "ఎనభై రెండు", + "ఎనభై ఒకటి", + "ఎనభై", + "డెబ్బై తొమ్మిది", + "డెబ్బై ఎనిమిది", + "డెబ్బై ఏడు", + "డెబ్బై ఆరు", + "డెబ్బై అయిదు", + "డెబ్బై నాలుగు", + "డెబ్బై మూడు", + "డెబ్బై రెండు", + "డెబ్బై ఒకటి", + "డెబ్బై", + "అరవై తొమ్మిది", + "అరవై ఎనిమిది", + "అరవై ఏడు", + "అరవై ఆరు", + "అరవై అయిదు", + "అరవై నాలుగు", + "అరవై మూడు", + "అరవై రెండు", + "అరవై ఒకటి", + "అరవై", + "యాభై తొమ్మిది", + "యాభై ఎనిమిది", + "యాభై ఏడు", + "యాభై ఆరు", + "యాభై అయిదు", + "యాభై నాలుగు", + "యాభై మూడు", + "యాభై రెండు", + "యాభై ఒకటి", + "యాభై ", + "నలభై తొమ్మిది", + "నలభై ఎనిమిది", + "నలభై ఏడు", + "నలభై ఆరు", + "నలభై అయిదు", + "నలభై నాలుగు", + "నలభై మూడు", + "నలభై రెండు", + "నలభై ఒకటి", + "నలభై", + "ముప్పై తొమ్మిది", + "ముప్పై ఎనిమిది", + "ముప్పై ఏడు", + "ముప్పై ఆరు", + "ముప్పై ఐదు", + "ముప్పై నాలుగు", + "ముప్పై మూడు", + "ముప్పై రెండు", + "ముప్పై ఒకటి", + "ముప్పై", + "ఇరవై తొమ్మిది", + "ఇరవై ఎనిమిది", + "ఇరవై ఏడు", + "ఇరవై ఆరు", + "ఇరవై అయిదు", + "ఇరవై నాలుగు", + "ఇరవై మూడు", + "ఇరవై రెండు", + "ఇరవై ఒకటి", + "ఇరవై", + "పందొమ్మిది", + "పధ్ధెనిమిది", + "పదిహేడు", + "పదహారు", + "పదునయిదు", + "పధ్నాలుగు", + "పదమూడు", + "పన్నెండు", + "పదకొండు", + "పది", + "తొమ్మిది", + "ఎనిమిది", + "ఏడు", + "ఆరు", + "అయిదు", + "నాలుగు", + "మూడు", + "రెండు", + "ఒకటి", + "సున్న", + ] + + self.mid_numwords = [(100, "వంద")] + + self.high_numwords = [(7, "కోట్ల"), (5, "లక్ష"), (3, "వేయి")] + + self.pointword = "బిందువు " + + self.modifiers = [ + " ్ ", + "ా ", + " ి ", + " ీ ", + " ు ", + " ూ ", + " ృ ", + " ౄ ", + " ె ", + " ే ", + " ై ", + " ొ", + " ో ", + " ౌ ", + " ఁ ", + " ం ", + " ః ", + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + if ltext[-1] in self.modifiers: + return ("%s %s" % (ltext[:-1], rtext), lnum + rnum) + else: + return ("%s %s" % (ltext+"ల", rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-1:]) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value) + if outwords[-1] in self.modifiers: + outwords = outwords[:-1] + ordinal_num = outwords + "వ" + return ordinal_num diff --git a/ext/py/num2words/build/lib/num2words/lang_TET.py b/ext/py/num2words/build/lib/num2words/lang_TET.py new file mode 100644 index 0000000..141a8c6 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_TET.py @@ -0,0 +1,251 @@ +# -*- coding: utf-8 -*-Num2Word_TET +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +from num2words.currency import parse_currency_parts + +from .lang_EU import Num2Word_EU + +DOLLAR = ('dolar', 'dolar') +CENTS = ('sentavu', 'sentavu') + + +class Num2Word_TET(Num2Word_EU): + + CURRENCY_FORMS = { + 'AUD': (DOLLAR, CENTS), + 'CAD': (DOLLAR, CENTS), + 'EUR': (('euro', 'euros'), CENTS), + 'GBP': (('pound sterling', 'pound sterling'), ('pence', 'pence')), + 'USD': (DOLLAR, CENTS), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "iliaun" + + def setup(self): + super().setup() + lows = ["kuatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menus " + self.pointword = "vírgula" + self.exclude_title = ["resin", "vírgula", "menus"] + self.count = 0 + + self.mid_numwords = [ + (1000, "rihun"), (100, "atus"), (90, "sianulu"), + (80, "ualunulu"), (70, "hitunulu"), (60, "neenulu"), + (50, "limanulu"), (40, "haatnulu"), (30, "tolunulu"), + (20, "ruanulu") + ] + self.low_numwords = [ + "sanulu", + "sia", "ualu", "hitu", "neen", "lima", "haat", "tolu", "rua", + "ida", "mamuk" + ] + self.hundreds = { + 1: "atus", + 2: "atus rua", + 3: "atus tolu", + 4: "atus haat", + 5: "atus lima", + 6: "atus neen", + 7: "atus hitu", + 8: "atus ualu", + 9: "atus sia", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1 and nnum < 100: + return next + + if nnum < cnum: + if nnum < 10: + value_str = str(cnum + nnum) + if int(value_str) > 100: + zero_list = value_str[1:-1] + all_zero = all(element == '0' for element in zero_list) + if all_zero: + if self.count >= 1: + self.count += 0 + return ( + "ho %s %s" % (ctext, ntext), + cnum + nnum + ) + self.count += 1 + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return ("%s resin %s" % (ctext, ntext), cnum + nnum) + else: + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return (ntext + " " + ctext, cnum * nnum) + + def ho_result(self, result, value): + index = result.find('ho') + count_ho = result.count('ho') + + if index != -1 and count_ho >= 1: + index_rihun = result.find('rihun') + value_str = len(str(value)) + if index_rihun != -1 and value_str > 7: + result = result.replace("rihun ho", "ho rihun") + lows = ["kuatr", "tr", "b", "m"] + MEGA_SUFFIX = "iliaun" + for low in lows: + result = result.replace( + low + MEGA_SUFFIX + " ho", "ho " + low + MEGA_SUFFIX) + remove_first_ho = result.startswith('ho') + if remove_first_ho: + result = result[3:] + return result + + def remove_ho(self, result, value): + value_str = str(value) + result = self.ho_result(result, value) + end_value = value_str[:-4] + end_true = end_value.endswith('0') + if end_true is False: + if value > 100: + if value_str[-1] != '0' and value_str[-2] == '0': + result = result.replace("ho", "") + result = result.replace(" ", " ") + + return result + + def to_cardinal(self, value): + result = super().to_cardinal(value) + + results = self.remove_ho(result, value) + return results + + def to_ordinal(self, value): + self.verify_ordinal(value) + out = "" + val = self.splitnum(value) + outs = val + while len(val) != 1: + outs = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + outs.append(self.merge(left, right)) + if val[2:]: + outs.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + outs.append(elem[0]) + else: + outs.append(self.clean(elem)) + else: + outs.append(elem) + val = outs + + words, num = outs[0] + + words = self.remove_ho(words, value) + + if num in [90, 80, 70, 60, 50, 40, 30, 20, 10, 9, 8, 7, 5, 3, 2]: + words = 'da'+words+'k' + if num in [6, 4]: + words = 'da'+words + if num == 1: + words = 'dahuluk' + if num in [900, 800, 700, 500, 300, 200, 100]: + words = 'dah'+words+'k' + if num in [600, 400]: + words = 'dah'+words + + words_split = words.split() + if len(words_split) >= 3 and num < 100: + first_word = 'da'+words_split[0] + second_word = " ".join(words_split[1:]) + if 'haat' in second_word or 'neen' in second_word: + words = first_word+" "+second_word + else: + words = first_word+" "+second_word+'k' + + word_first = 'dah'+words_split[0] + if word_first == 'dahatus' and len(words_split) >= 3: + word_second = " ".join(words_split[1:]) + if 'haat' in word_second or 'neen' in word_second: + words = word_first+" "+word_second + else: + words = word_first+" "+word_second+'k' + + if len(str(num)) > 3: + if 'haat' in words_split[-1:] or 'neen' in words_split[-1:]: + words = 'da'+words + else: + words = 'da'+words+'k' + + result = self.title(out + words) + + return result + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%sº" % (value) + + def to_year(self, val, longval=True): + if val < 0: + return self.to_cardinal(abs(val)) + ' antes Kristu' + return self.to_cardinal(val) + + def to_currency(self, val, currency='USD', cents=True): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + if right == 0: + return u'%s%s %s' % ( + minus_str, + self.pluralize(left, cr1), + money_str + ) + else: + return u'%s%s %s %s %s' % ( + minus_str, + self.pluralize(left, cr1), + money_str, + self.pluralize(right, cr2), + cents_str + ) diff --git a/ext/py/num2words/build/lib/num2words/lang_TG.py b/ext/py/num2words/build/lib/num2words/lang_TG.py new file mode 100644 index 0000000..48291a2 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_TG.py @@ -0,0 +1,149 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +GENERIC_DOLLARS = ("доллар", "доллар") +GENERIC_CENTS = ("сент", "сент") + + +class Num2Word_TG(lang_EU.Num2Word_EU): + CURRENCY_FORMS = { + # repalced by EUR + "EUR": (("евро", "евро"), GENERIC_CENTS), + # replaced by EUR + "USD": (GENERIC_DOLLARS, GENERIC_CENTS), + "RUB": (("рубл", "рубл"), ("копейк", "копейк")), + "TJS": (("сомонӣ", "сомонӣ"), ("дирам", "дирам")), + } + + GIGA_SUFFIX = "иллиард" + MEGA_SUFFIX = "иллион" + + def set_high_numwords(self, high): + cap = 3 * (len(high) + 1) + + for word, n in zip(high, range(cap, 5, -3)): + if n == 9: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + else: + self.cards[10 ** n] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_TG, self).setup() + + lows = ["квинт", "квадр", "тр", "м", "м"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "минус " + self.pointword = "нуқта" + self.exclude_title = ["ва", "минус", "нуқта"] + + self.mid_numwords = [ + (1000, "ҳазор"), + (100, "сад"), + (90, "навад"), + (80, "ҳаштод"), + (70, "ҳафтод"), + (60, "шаст"), + (50, "панҷоҳ"), + (40, "чил"), + (30, "си"), + ] + self.low_numwords = [ + "бист", + "нуздаҳ", + "ҳаждаҳ", + "ҳабдаҳ", + "шонздаҳ", + "понздаҳ", + "чордаҳ", + "сенздаҳ", + "дувоздаҳ", + "ёздаҳ", + "даҳ", + "нӯҳ", + "ҳашт", + "ҳафт", + "шаш", + "панҷ", + "чор", + "се", + "ду", + "як", + "сифр", + ] + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + if value == 100: + return self.title(out + "сад") + else: + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + if ltext == "си": + return ("%sю %s" % (ltext, rtext), lnum + rnum) + elif ltext == "панҷоҳ": + return ("панҷову %s" % (rtext), lnum + rnum) + else: + return ("%sу %s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%sу %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + if ltext == "яксад" and rtext not in self.low_numwords: + return ("сад %s" % (rtext), lnum * rnum) + if rtext == "сад": + return ("%s%s" % (ltext, rtext), lnum * rnum) + else: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%sу %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + cardinal = self.to_cardinal(value) + outwords = cardinal.split(" ") + lastword = outwords[-1] + if lastword in ["ду", "се", "си"]: + return "%sюм" % (cardinal) + else: + return "%sум" % (cardinal) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-2:]) diff --git a/ext/py/num2words/build/lib/num2words/lang_TH.py b/ext/py/num2words/build/lib/num2words/lang_TH.py new file mode 100644 index 0000000..42811ea --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_TH.py @@ -0,0 +1,183 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from num2words.base import Num2Word_Base +from num2words.currency import parse_currency_parts +from num2words.utils import splitbyx + + +class Num2Word_TH(Num2Word_Base): + + def setup(self): + self.negword = 'ติดลบ' + self.pointword = 'จุด' + + self.CURRENCY_FORMS = { + 'THB': (('บาท', 'บาท'), ('สตางค์', 'สตางค์')), + 'USD': (('ดอลลาร์', 'ดอลลาร์'), ('เซนต์', 'เซนต์')), + 'EUR': (('ยูโร', 'ยูโร'), ('เซนต์', 'เซนต์')), + } + + self.high_numwords = [] + + self.mid_numwords = ['', 'สิบ', 'ร้อย', 'พัน', 'หมื่น', 'แสน', 'ล้าน'] + + self.low_numwords = [ + 'ศูนย์', 'หนึ่ง', 'สอง', 'สาม', 'สี่', + 'ห้า', 'หก', 'เจ็ด', 'แปด', 'เก้า' + ] + + def set_high_numwords(self, high_numwords): + pass + + def set_mid_numwords(self, mid_numwords): + pass + + def splitnum(self, six_num): + length = len(six_num) > 1 + word_num = '' + + for index, num in enumerate(map(int, six_num)): + if num: + if index: + word_num = self.mid_numwords[index] + word_num + + if length and num == 1 and index == 0: + word_num += 'เอ็ด' + elif index == 1 and num == 2: + word_num = 'ยี่' + word_num + elif index != 1 or num != 1: + word_num = self.low_numwords[num] + word_num + + elif num == 0 and index == 0 and length == 0: + word_num = self.low_numwords[0] + + return word_num + + def split_six(self, num_txt): + result = splitbyx(num_txt, 6, format_int=False) + result = list(result)[::-1] + number_list = [] + for i in result: + number_list.append(i[::-1]) + return number_list + + def add_text_million(self, word_num): + result = '' + + for index, t in enumerate(reversed(word_num)): + if index == 0: + result = t + else: + result = result + 'ล้าน' + t + + return result + + def round_2_decimal(self, number): + integer, cents, negative = parse_currency_parts( + number, is_int_with_cents=False + ) + integer = '{}'.format(integer) + cents = '{}'.format(cents) + + if len(cents) < 2: + add_zero = 2 - len(cents) + cents = ('0' * add_zero) + cents + + text_num = integer + '.' + cents + + return text_num, negative + + def left_num_to_text(self, number): + + left_num_list = self.split_six(number) + + left_text_list = [] + for i in left_num_list: + left_text_list.append(self.splitnum(i)) + + left_text = self.add_text_million(left_text_list) + return left_text + + def to_cardinal(self, number): + negative = number < 0 + + pre, post = self.float2tuple(number) + precision = self.precision + pre = '{}'.format(pre) + post = '{}'.format(post) + + if negative: + pre = pre.lstrip('-') + + if len(post) < precision: + add_zero = precision - len(post) + post = ('0' * add_zero) + post + + result = self.left_num_to_text(pre) + + right_text = '' + if not post == '0': + for i in map(int, post): + right_text = right_text + self.low_numwords[i] + result = result + 'จุด' + right_text + + if negative: + result = 'ติดลบ' + result + + return result + + def to_ordinal(self, number): + return self.to_cardinal(number) + + def to_currency(self, number, currency='THB'): + + number, negative = self.round_2_decimal(number) + + split_num = number.split('.') + + left_num = split_num[0] + left_text = self.left_num_to_text(left_num) + + right_num = split_num[1] + right_text = self.splitnum(right_num[::-1].rstrip('0')) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if right_num == '00': + if currency == 'THB': + result = left_text + cr1[0] + 'ถ้วน' + else: + result = left_text + cr1[0] + else: + if left_num == '0': + result = right_text + cr2[0] + else: + result = left_text + cr1[0] + right_text + cr2[0] + + if negative: + result = self.negword + result + + return result diff --git a/ext/py/num2words/build/lib/num2words/lang_TR.py b/ext/py/num2words/build/lib/num2words/lang_TR.py new file mode 100644 index 0000000..2f20dd6 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_TR.py @@ -0,0 +1,856 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2017, Tufan Kaynak, Framras. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_TR(Num2Word_Base): + def __init__(self): + self.precision = 2 + self.negword = u"eksi" + self.pointword = u"virgül" + self.CURRENCY_UNIT = u"lira" + self.CURRENCY_SUBUNIT = u"kuruş" + self.errmsg_nonnum = u"Sadece sayılar yazıya çevrilebilir." + self.errmsg_floatord = u"Tam sayı olmayan {} sıralamada kullanılamaz." + self.errmsg_negord = u"Pozitif olmayan {} sıralamada kullanılamaz." + self.errmsg_toobig = u"abs({}) sayı yazıya çevirmek için çok büyük. " \ + u"Yazıya çevrilebilecek en büyük rakam {}." + self.exclude_title = [] + self.DECIMAL_SIGN = "," + self.ORDINAL_SIGN = "." + self.ZERO = u"sıfır" + self.CARDINAL_ONES = { + "1": u"bir", + "2": u"iki", + "3": u"üç", + "4": u"dört", + "5": u"beş", + "6": u"altı", + "7": u"yedi", + "8": u"sekiz", + "9": u"dokuz" + } + self.ORDINAL_ONES = { + "1": u"birinci", + "2": u"ikinci", + "3": u"üçüncü", + "4": u"dördüncü", + "5": u"beşinci", + "6": u"altıncı", + "7": u"yedinci", + "8": u"sekizinci", + "9": u"dokuzuncu" + } + self.CARDINAL_TENS = { + "1": u"on", + "2": u"yirmi", + "3": u"otuz", + "4": u"kırk", + "5": u"elli", + "6": u"altmış", + "7": u"yetmiş", + "8": u"seksen", + "9": u"doksan" + } + self.ORDINAL_TENS = { + "1": u"onuncu", + "2": u"yirminci", + "3": u"otuzuncu", + "4": u"kırkıncı", + "5": u"ellinci", + "6": u"altmışıncı", + "7": u"yetmişinci", + "8": u"sekseninci", + "9": u"doksanıncı" + } + self.HUNDREDS = { + "2": u"iki", + "3": u"üç", + "4": u"dört", + "5": u"beş", + "6": u"altı", + "7": u"yedi", + "8": u"sekiz", + "9": u"dokuz" + } + self.CARDINAL_HUNDRED = (u"yüz",) + self.ORDINAL_HUNDRED = (u"yüzüncü",) + self.CARDINAL_TRIPLETS = { + 1: u"bin", + 2: u"milyon", + 3: u"milyar", + 4: u"trilyon", + 5: u"katrilyon", + 6: u"kentilyon" + } + self.ORDINAL_TRIPLETS = { + 1: u"bininci", + 2: u"milyonuncu", + 3: u"milyarıncı", + 4: u"trilyonuncu", + 5: u"katrilyonuncu", + 6: u"kentilyon" + } + self.MAXVAL = (10 ** ((len(self.CARDINAL_TRIPLETS) + 1) * 3)) - 1 + + self.integers_to_read = [] + self.total_triplets_to_read = 0 + self.total_digits_outside_triplets = 0 + self.order_of_last_zero_digit = 0 + + def to_cardinal(self, value): + wrd = "" + is_cardinal = self.verify_cardinal(value) + if not is_cardinal: + return wrd + + if not int(value) == value: + return self.to_cardinal_float(value) + + if str(value).startswith("-"): + pre_word, value = self.negword, float(str(value)[1:]) + else: + pre_word, value = "", float(value) + + self.to_splitnum(value) + + if self.order_of_last_zero_digit >= len(self.integers_to_read[0]): + # number like 00 and all 0s and even more, raise error + return "%s%s" % (pre_word, wrd) + + if self.total_triplets_to_read == 1: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == 1: + # number like x0, read cardinal x0 and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 0: + # number like xy, read cardinal xy and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + return "%s%s" % (pre_word, wrd) + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == 0: + # number like x, read cardinal x and return + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + if self.integers_to_read[0][0] == "0": + return self.ZERO + return "%s%s" % (pre_word, wrd) + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == 2: + # number like x00, read cardinal x00 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 1: + # number like xy0, read cardinal xy0 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 0: + # number like xyz, read cardinal xyz and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + return "%s%s" % (pre_word, wrd) + + if self.total_triplets_to_read >= 2: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x0 and all 0s, read cardinal x0 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy and all 0s, read cardinal xy 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 2: + # number like xy and others, read cardinal xy n..n + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x and all 0s, read cardinal x 0..0 + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 1: + # number like x and others, read cardinal x n..n + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x00 and all 0s, read cardinal x00 0..0 + # and return + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy0 and all 0s, read cardinal xy0 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 3: + # number like xyz and all 0s, read cardinal xyz 0..0 + # and return + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 3: + # number like xyz and all others, read cardinal xyz n..n + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][2] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + for i in list(range(self.total_triplets_to_read - 1, 0, -1)): + reading_triplet_order = self.total_triplets_to_read - i + if self.total_digits_outside_triplets == 0: + last_read_digit_order = reading_triplet_order * 3 + else: + last_read_digit_order = (reading_triplet_order - 1) * 3 +\ + self.total_digits_outside_triplets + + if not self.integers_to_read[0][ + last_read_digit_order: last_read_digit_order + 3 + ] == "000": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "0": + wrd += self.HUNDREDS.get( + self.integers_to_read[0][last_read_digit_order], "" + ) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 1: + if i == 1: + wrd += self.CARDINAL_HUNDRED[0] + return "%s%s" % (pre_word, wrd) + elif i > 1: + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + wrd += self.CARDINAL_HUNDRED[0] + + if not self.integers_to_read[0][ + last_read_digit_order + 1] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 2: + if i == 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + return "%s%s" % (pre_word, wrd) + elif i > 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + + if not self.integers_to_read[0][ + last_read_digit_order + 2] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 3: + if i == 1: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + return "%s%s" % (pre_word, wrd) + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + if i > 2: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + else: + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + + wrd += self.CARDINAL_TRIPLETS[i - 1] + + return "%s%s" % (pre_word, wrd) + + def to_cardinal_float(self, value): + self.to_splitnum(value) + wrd = "" + wrd += self.pointword + if len(self.integers_to_read[1]) >= 1: + wrd += self.CARDINAL_TENS.get(self.integers_to_read[1][0], "") + + if len(self.integers_to_read[1]) == 2: + wrd += self.CARDINAL_ONES.get(self.integers_to_read[1][1], "") + + if self.integers_to_read[0] == "0": + wrd = self.ZERO + wrd + else: + wrd = self.to_cardinal(int(self.integers_to_read[0])) + wrd + return wrd + + def verify_cardinal(self, value): + iscardinal = True + try: + if not float(value) == value: + iscardinal = False + except (ValueError, TypeError): + raise TypeError(self.errmsg_nonnum) + if abs(value) >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig.format(value, self.MAXVAL)) + return iscardinal + + def verify_ordinal(self, value): + isordinal = True + try: + if not int(value) == value: + isordinal = False + if not abs(value) == value: + raise TypeError(self.errmsg_negord.format(value)) + except (ValueError, TypeError): + raise TypeError(self.errmsg_nonnum) + if abs(value) >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig.format(value, self.MAXVAL)) + return isordinal + + def to_ordinal(self, value): + wrd = "" + isordinal = self.verify_ordinal(value) + if isordinal: + self.to_splitnum(value) + + if self.order_of_last_zero_digit >= len(self.integers_to_read[0]): + # number like 00 and all 0s and even more, raise error + return wrd + + if self.total_triplets_to_read == 1: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == 1: + # number like x0, read ordinal x0 and return + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + return wrd + if self.order_of_last_zero_digit == 0: + # number like xy, read ordinal xy and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + return wrd + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == 0: + # number like x, read ordinal x and return + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + if self.integers_to_read[0][0] == "0": + return u"sıfırıncı" + return wrd + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == 2: + # number like x00, read ordinal x00 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_HUNDRED[0] + return wrd + if self.order_of_last_zero_digit == 1: + # number like xy0, read ordinal xy0 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + return wrd + if self.order_of_last_zero_digit == 0: + # number like xyz, read ordinal xyz and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not self.integers_to_read[0][2] == "0": + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + return wrd + + if self.total_triplets_to_read >= 2: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x0 and all 0s, read ordinal x0 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy and all 0s, read ordinal xy 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 2: + # number like xy and others, read cardinal xy n..n + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x and all 0s, read ordinal x 0..0 + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 1: + # number like x and others, read cardinal x n..n + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x00 and all 0s, read ordinal x00 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy0 and all 0s, read ordinal xy0 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 3: + # number like xyz and all 0s, read ordinal xyz 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 3: + # number like xyz and all others, read cardinal + # xyz n..n + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][2] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + for i in list(range(self.total_triplets_to_read - 1, 0, -1)): + reading_triplet_order = self.total_triplets_to_read - i + if self.total_digits_outside_triplets == 0: + last_read_digit_order = reading_triplet_order * 3 + else: + last_read_digit_order = \ + (reading_triplet_order - 1) * 3 + \ + self.total_digits_outside_triplets + + if not self.integers_to_read[0][ + last_read_digit_order: last_read_digit_order + 3 + ] == "000": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "0": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + ], "" + ) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 1: + if i == 1: + wrd += self.ORDINAL_HUNDRED[0] + return wrd + elif i > 1: + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + wrd += self.CARDINAL_HUNDRED[0] + + if not self.integers_to_read[0][ + last_read_digit_order + 1 + ] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 2: + if i == 1: + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + return wrd + elif i > 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + + if not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 3: + if i == 1: + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + return wrd + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + if i > 2: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + + wrd += self.CARDINAL_TRIPLETS[i - 1] + + return wrd + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-4:]) + + def to_splitnum(self, val): + float_digits = str(int(val * 10 ** self.precision)) + if not int(val) == 0: + self.integers_to_read = [ + str(int(val)), + float_digits[len(float_digits) - self.precision:] + ] + else: + self.integers_to_read = [ + "0", + "0" * (self.precision - len(float_digits)) + + float_digits[len(float_digits) - self.precision:] + ] + if len(self.integers_to_read[0]) % 3 > 0: + self.total_triplets_to_read = (len(self.integers_to_read[0]) // 3)\ + + 1 + elif len(self.integers_to_read[0]) % 3 == 0: + self.total_triplets_to_read = len(self.integers_to_read[0]) // 3 + self.total_digits_outside_triplets = len(self.integers_to_read[0]) % 3 + + okunacak = list(self.integers_to_read[0][::-1]) + self.order_of_last_zero_digit = 0 + found = 0 + for i in range(len(okunacak) - 1): + if int(okunacak[i]) == 0 and found == 0: + self.order_of_last_zero_digit = i + 1 + else: + found = 1 + + def to_currency(self, value): + if int(value) == 0: + return u"bedelsiz" + valueparts = self.to_cardinal(value).split(self.pointword) + if len(valueparts) == 1: + return valueparts[0] + self.CURRENCY_UNIT + if len(valueparts) == 2: + return self.CURRENCY_UNIT.join(valueparts) + \ + self.CURRENCY_SUBUNIT diff --git a/ext/py/num2words/build/lib/num2words/lang_UK.py b/ext/py/num2words/build/lib/num2words/lang_UK.py new file mode 100644 index 0000000..188d7ce --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_UK.py @@ -0,0 +1,1067 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('нуль',) + +ONES_FEMININE = { + 1: ('одна', "однієї", "одній", "одну", "однією", "одній"), + 2: ('дві', "двох", "двом", "дві", "двома", "двох"), + 3: ('три', "трьох", "трьом", "три", "трьома", "трьох"), + 4: ('чотири', "чотирьох", "чотирьом", "чотири", "чотирма", "чотирьох"), + 5: ('п\'ять', "п'яти", "п'яти", "п'ять", "п'ятьма", "п'яти"), + 6: ('шість', "шести", "шести", "шість", "шістьма", "шести"), + 7: ('сім', "семи", "семи", "сім", "сьома", "семи"), + 8: ('вісім', "восьми", "восьми", "вісім", "вісьма", "восьми"), + 9: ("дев'ять", "дев'яти", "дев'яти", "дев'ять", "дев'ятьма", "дев'яти"), +} + +ONES = { + 1: ('один', 'одного', "одному", "один", "одним", "одному"), + 2: ('два', 'двох', "двом", "два", "двома", "двох"), + 3: ('три', 'трьох', "трьом", "три", "трьома", "трьох"), + 4: ('чотири', 'чотирьох', "чотирьом", "чотири", "чотирма", "чотирьох"), + 5: ('п\'ять', "п'яти", "п'яти", "п'ять", "п'ятьма", "п'яти"), + 6: ('шість', 'шести', "шести", "шість", "шістьма", "шести"), + 7: ('сім', 'семи', "семи", "сім", "сьома", "семи"), + 8: ('вісім', 'восьми', "восьми", "вісім", "вісьма", "восьми"), + 9: ("дев'ять", "дев'яти", "дев'яти", "дев'ять", "дев'ятьма", "дев'яти"), +} + +ONES_ORDINALS = { + 1: ("перший", "одно"), + 2: ("другий", "двох"), + 3: ("третій", "трьох"), + 4: ("четвертий", "чотирьох"), + 5: ("п'ятий", "п'яти"), + 6: ("шостий", "шести"), + 7: ("сьомий", "семи"), + 8: ("восьмий", "восьми"), + 9: ("дев'ятий", "дев'яти"), + 10: ("десятий", "десяти"), + 11: ("одинадцятий", "одинадцяти"), + 12: ("дванадцятий", "дванадцяти"), + 13: ("тринадцятий", "тринадцяти"), + 14: ("чотирнадцятий", "чотирнадцяти"), + 15: ("п'ятнадцятий", "п'ятнадцяти"), + 16: ("шістнадцятий", "шістнадцяти"), + 17: ("сімнадцятий", "сімнадцяти"), + 18: ("вісімнадцятий", "вісімнадцяти"), + 19: ("дев'ятнадцятий", "дев'ятнадцяти"), +} +TENS = { + 0: ('десять', + 'десяти', + "десяти", + "десять", + "десятьма", + "десяти"), + 1: ('одинадцять', + 'одинадцяти', + "одинадцяти", + "одинадцять", + "одинадцятьма", + "одинадцяти"), + 2: ('дванадцять', + 'дванадцяти', + "дванадцяти", + "дванадцять", + "дванадцятьма", + "дванадцяти"), + 3: ('тринадцять', + 'тринадцяти', + "тринадцяти", + "тринадцять", + "тринадцятьма", + "тринадцяти"), + 4: ('чотирнадцять', + 'чотирнадцяти', + "чотирнадцяти", + "чотирнадцять", + "чотирнадцятьма", + "чотирнадцяти"), + 5: ("п'ятнадцять", + "п'ятнадцяти", + "п'ятнадцяти", + "п'ятнадцять", + "п'ятнадцятьма", + "п'ятнадцяти"), + 6: ('шістнадцять', + 'шістнадцяти', + "шістнадцяти", + "шістнадцять", + "шістнадцятьма", + "шістнадцяти"), + 7: ('сімнадцять', + 'сімнадцяти', + "сімнадцяти", + "сімнадцять", + "сімнадцятьма", + "сімнадцяти"), + 8: ('вісімнадцять', + 'вісімнадцяти', + "вісімнадцяти", + "вісімнадцять", + "вісімнадцятьма", + "вісімнадцяти"), + 9: ("дев'ятнадцять", + "дев'ятнадцяти", + "дев'ятнадцяти", + "дев'ятнадцять", + "дев'ятнадцятьма", + "дев'ятнадцяти"), +} + +TWENTIES = { + 2: ('двадцять', + "двадцяти", + "двадцяти", + "двадцять", + "двадцятьма", + "двадцяти"), + 3: ('тридцять', + "тридцяти", + "тридцяти", + "тридцять", + "тридцятьма", + "тридцяти"), + 4: ('сорок', + "сорока", + "сорока", + "сорок", + "сорока", + "сорока"), + 5: ('п\'ятдесят', + "п'ятдесяти", + "п'ятдесяти", + "п'ятдесят", + "п'ятдесятьма", + "п'ятдесяти"), + 6: ('шістдесят', + "шістдесяти", + "шістдесяти", + "шістдесят", + "шістдесятьма", + "шістдесяти"), + 7: ('сімдесят', + "сімдесяти", + "сімдесяти", + "сімдесят", + "сімдесятьма", + "сімдесяти"), + 8: ('вісімдесят', + "вісімдесяти", + "вісімдесяти", + "вісімдесят", + "вісімдесятьма", + "вісімдесяти"), + 9: ('дев\'яносто', + "дев'яноста", + "дев'яноста", + "дев'яносто", + "дев'яностами", + "дев'яноста"), +} + +TWENTIES_ORDINALS = { + 2: ("двадцятий", "двадцяти"), + 3: ("тридцятий", "тридцяти"), + 4: ("сороковий", "сорока"), + 5: ("п'ятдесятий", "п'ятдесяти"), + 6: ("шістдесятий", "шістдесяти"), + 7: ("сімдесятий", "сімдесяти"), + 8: ("вісімдесятий", "вісімдесяти"), + 9: ("дев'яностий", "дев'яности"), +} + +HUNDREDS = { + 1: ('сто', + "ста", + "ста", + "сто", + "стами", + "стах"), + 2: ('двісті', + "двохста", + "двомстам", + "двісті", + "двомастами", + "двохстах"), + 3: ('триста', + "трьохста", + "трьомстам", + "триста", + "трьомастами", + "трьохстах"), + 4: ('чотириста', + "чотирьохста", + "чотирьомстам", + "чотириста", + "чотирмастами", + "чотирьохстах"), + 5: ('п\'ятсот', + "п'ятиста", + "п'ятистам", + "п'ятсот", + "п'ятьмастами", + "п'ятистах"), + 6: ('шістсот', + "шестиста", + "шестистам", + "шістсот", + "шістьмастами", + "шестистах"), + 7: ('сімсот', + "семиста", + "семистам", + "сімсот", + "сьомастами", + "семистах"), + 8: ('вісімсот', + "восьмиста", + "восьмистам", + "вісімсот", + "восьмастами", + "восьмистах"), + 9: ("дев'ятсот", + "дев'ятиста", + "дев'ятистам", + "дев'ятсот", + "дев'ятьмастами", + "дев'ятистах"), +} + +HUNDREDS_ORDINALS = { + 1: ("сотий", "сто"), + 2: ("двохсотий", "двохсот"), + 3: ("трьохсотий", "трьохсот"), + 4: ("чотирьохсотий", "чотирьохсот"), + 5: ("п'ятисотий", "п'ятсот"), + 6: ("шестисотий", "шістсот"), + 7: ("семисотий", "сімсот"), + 8: ("восьмисотий", "вісімсот"), + 9: ("дев'ятисотий", "дев'ятсот"), +} + +THOUSANDS = { + # 10^3 + 1: (('тисяча', 'тисячі', 'тисяч'), + ('тисячи', 'тисяч', 'тисяч'), + ('тисячі', 'тисячам', 'тисячам'), + ('тисячу', 'тисячі', 'тисяч'), + ('тисячею', 'тисячами', 'тисячами'), + ('тисячі', 'тисячах', 'тисячах'),), + # 10^6 + 2: (('мільйон', 'мільйони', 'мільйонів'), + ('мільйона', 'мільйонів', 'мільйонів'), + ('мільйону', 'мільйонам', 'мільйонам'), + ('мільйон', 'мільйони', 'мільйонів'), + ('мільйоном', 'мільйонами', 'мільйонів'), + ('мільйоні', 'мільйонах', 'мільйонах'),), + # 10^9 + 3: (('мільярд', 'мільярди', 'мільярдів'), + ('мільярда', 'мільярдів', 'мільярдів'), + ('мільярду', 'мільярдам', 'мільярдам'), + ('мільярд', 'мільярди', 'мільярдів'), + ('мільярдом', 'мільярдами', 'мільярдів'), + ('мільярді', 'мільярдах', 'мільярдах'),), + # 10^12 + 4: (('трильйон', 'трильйони', 'трильйонів'), + ('трильйона', 'трильйонів', 'трильйонів'), + ('трильйону', 'трильйонам', 'трильйонам'), + ('трильйон', 'трильйони', 'трильйонів'), + ('трильйоном', 'трильйонами', 'трильйонів'), + ('трильйоні', 'трильйонах', 'трильйонах'),), + # 10^15 + 5: (('квадрильйон', 'квадрильйони', 'квадрильйонів'), + ('квадрильйона', 'квадрильйонів', 'квадрильйонів'), + ('квадрильйону', 'квадрильйонам', 'квадрильйонам'), + ('квадрильйон', 'квадрильйони', 'квадрильйонів'), + ('квадрильйоном', 'квадрильйонами', 'квадрильйонів'), + ('квадрильйоні', 'квадрильйонах', 'квадрильйонах'),), + # 10^18 + 6: (('квінтильйон', 'квінтильйони', 'квінтильйонів'), + ('квінтильйона', 'квінтильйонів', 'квінтильйонів'), + ('квінтильйону', 'квінтильйонам', 'квінтильйонам'), + ('квінтильйон', 'квінтильйони', 'квінтильйонів'), + ('квінтильйоном', 'квінтильйонами', 'квінтильйонів'), + ('квінтильйоні', 'квінтильйонах', 'квінтильйонах'),), + # 10^21 + 7: (('секстильйон', 'секстильйони', 'секстильйонів'), + ('секстильйона', 'секстильйонів', 'секстильйонів'), + ('секстильйону', 'секстильйонам', 'секстильйонам'), + ('секстильйон', 'секстильйони', 'секстильйонів'), + ('секстильйоном', 'секстильйонами', 'секстильйонів'), + ('секстильйоні', 'секстильйонах', 'секстильйонах'),), + # 10^24 + 8: (('септильйон', 'септильйони', 'септильйонів'), + ('септильйона', 'септильйонів', 'септильйонів'), + ('септильйону', 'септильйонам', 'септильйонам'), + ('септильйон', 'септильйони', 'септильйонів'), + ('септильйоном', 'септильйонами', 'септильйонів'), + ('септильйоні', 'септильйонах', 'септильйонах'),), + # 10^27 + 9: (('октильйон', 'октильйони', 'октильйонів'), + ('октильйона', 'октильйонів', 'октильйонів'), + ('октильйону', 'октильйонам', 'октильйонам'), + ('октильйон', 'октильйони', 'октильйонів'), + ('октильйоном', 'октильйонами', 'октильйонів'), + ('октильйоні', 'октильйонах', 'октильйонах'),), + # 10^30 + 10: (('нонільйон', 'нонільйони', 'нонільйонів'), + ('нонільйона', 'нонільйонів', 'нонільйонів'), + ('нонільйону', 'нонільйонам', 'нонільйонам'), + ('нонільйон', 'нонільйони', 'нонільйонів'), + ('нонільйоном', 'нонільйонами', 'нонільйонів'), + ('нонільйоні', 'нонільйонах', 'нонільйонах'),), +} + +prefixes_ordinal = { + 1: "тисячний", + 2: "мільйонний", + 3: "мільярдний", + 4: "трильйонний", + 5: "квадрильйонний", + 6: "квінтильйонний", + 7: "секстильйонний", + 8: "септильйонний", + 9: "октильйонний", + 10: "нонільйонний", +} + +FEMININE_MONEY = ('AOA', 'BAM', 'BDT', 'BWP', 'CZK', 'DKK', + 'ERN', 'HNL', 'HRK', 'IDR', 'INR', 'ISK', + 'JPY', 'KPW', 'KRW', 'LKR', 'MOP', 'MRU', + 'MUR', 'MVR', 'MWK', 'NGN', 'NIO', 'NOK', + 'NPR', 'PKR', 'SCR', 'SEK', 'STN', 'TRY', + 'WST', 'UAH', 'ZMW') +FEMININE_CENTS = ('ALL', 'BDT', 'BGN', 'BYN', 'GHS', 'HRK', + 'ILS', 'INR', 'NPR', 'OMR', 'OMR', 'PKR', + 'RSD', 'RUB', 'UAH') + +GENERIC_DOLLARS = ('долар', 'долари', 'доларів') +GENERIC_CENTS = ('цент', 'центи', 'центів') + + +class Num2Word_UK(Num2Word_Base): + CURRENCY_FORMS = { + 'AED': ( + ('дирхам', 'дирхами', 'дирхамів'), + ('філс', 'філси', 'філсів') + ), + 'AFN': ( + ('афгані', 'афгані', 'афгані'), + ('пул', 'пули', 'пулів') + ), + 'ALL': ( + ('лек', 'леки', 'леків'), + ('кіндарка', 'кіндарки', 'кіндарок') + ), + 'AMD': ( + ('драм', 'драми', 'драмів'), + ('лум', 'лум', 'лум') + ), + 'ANG': ( + ('гульден', 'гульдени', 'гульденів'), + GENERIC_CENTS + ), + 'AOA': ( + ('кванза', 'кванзи', 'кванз'), + ('сентимо', 'сентимо', 'сентимо') + ), + 'ARS': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'AWG': ( + ('флорин', 'флорини', 'флоринів'), + GENERIC_CENTS + ), + 'AZN': ( + ('манат', 'манати', 'манатів'), + ('гяпік', 'гяпіки', 'гяпіків') + ), + 'BAM': ( + ('марка', 'марки', 'марок'), + ('фенінг', 'фенінги', 'фенінгів') + ), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': ( + ('така', 'таки', 'так'), + ('пойша', 'пойші', 'пойш') + ), + 'BGN': ( + ('лев', 'леви', 'левів'), + ('стотинка', 'стотинки', 'стотинок') + ), + 'BHD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'BIF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': ( + ('болівіано', 'болівіано', 'болівіано'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'BRL': ( + ('реал', 'реали', 'реалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': ( + ('нгултрум', 'нгултруми', 'нгултрумів'), + ('четрум', 'четруми', 'четрумів') + ), + 'BWP': ( + ('пула', 'пули', 'пул'), + ('тхебе', 'тхебе', 'тхебе') + ), + 'BYN': ( + ('рубель', 'рублі', 'рублів'), + ('копійка', 'копійки', 'копійок') + ), + 'BZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CDF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'CHF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'CLP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CNY': ( + ('юань', 'юані', 'юанів'), + ('финь', 'фині', 'финів') + ), + 'COP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CRC': ( + ('колон', 'колони', 'колонів'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'CUC': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CUP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CVE': ( + ('ескудо', 'ескудо', 'ескудо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CZK': ( + ('крона', 'крони', 'крон'), + ('гелер', 'гелери', 'гелерів') + ), + 'DJF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'DKK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'DOP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'DZD': ( + ('динар', 'динари', 'динарів'), + ('сантим', 'сантими', 'сантимів') + ), + 'EGP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'ERN': ( + ('накфа', 'накфи', 'накф'), + GENERIC_CENTS + ), + 'ETB': ( + ('бир', 'бири', 'бирів'), + GENERIC_CENTS + ), + 'EUR': ( + ('євро', 'євро', 'євро'), + GENERIC_CENTS + ), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GBP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GEL': ( + ('ларі', 'ларі', 'ларі'), + ('тетрі', 'тетрі', 'тетрі') + ), + 'GHS': ( + ('седі', 'седі', 'седі'), + ('песева', 'песеви', 'песев') + ), + 'GIP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GMD': ( + ('даласі', 'даласі', 'даласі'), + ('бутут', 'бутути', 'бутутів') + ), + 'GNF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'GTQ': ( + ('кетсаль', 'кетсалі', 'кетсалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': ( + ('лемпіра', 'лемпіри', 'лемпір'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'HRK': ( + ('куна', 'куни', 'кун'), + ('ліпа', 'ліпи', 'ліп') + ), + 'HTG': ( + ('гурд', 'гурди', 'гурдів'), + ('сантим', 'сантими', 'сантимів') + ), + 'HUF': ( + ('форинт', 'форинти', 'форинтів'), + ('філлер', 'філлери', 'філлерів') + ), + 'IDR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'ILS': ( + ('шекель', 'шекелі', 'шекелів'), + ('агора', 'агори', 'агор') + ), + 'INR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'IQD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'IRR': ( + ('ріал', 'ріали', 'ріалів'), + ('динар', 'динари', 'динарів') + ), + 'ISK': ( + ('крона', 'крони', 'крон'), + ('ейре', 'ейре', 'ейре') + ), + 'JMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'JOD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'JPY': ( + ('єна', 'єни', 'єн'), + ('сен', 'сен', 'сен') + ), + 'KES': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'KGS': ( + ('сом', 'соми', 'сомів'), + ('тиїн', 'тиїни', 'тиїнів') + ), + 'KHR': ( + ('рієль', 'рієлі', 'рієлів'), + ('су', 'су', 'су') + ), + 'KMF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'KPW': ( + ('вона', 'вони', 'вон'), + ('чон', 'чони', 'чонів') + ), + 'KRW': ( + ('вона', 'вони', 'вон'), + ('джеон', 'джеони', 'джеонів') + ), + 'KWD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'KYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'KZT': ( + ('теньге', 'теньге', 'теньге'), + ('тиїн', 'тиїни', 'тиїнів')), + 'LAK': ( + ('кіп', 'кіпи', 'кіпів'), + ('ат', 'ати', 'атів') + ), + 'LBP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'LKR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'LRD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'LSL': ( + ('лоті', 'малоті', 'малоті'), + ('сенте', 'лісенте', 'лісенте') + ), + 'LYD': ( + ('динар', 'динари', 'динарів'), + ('дирхам', 'дирхами', 'дирхамів') + ), + 'MAD': ( + ('дирхам', 'дирхами', 'дирхамів'), + ('сантим', 'сантими', 'сантимів') + ), + 'MDL': ( + ('лей', 'леї', 'леї'), + ('бан', 'бані', 'бані') + ), + 'MGA': ( + ('аріарі', 'аріарі', 'аріарі'), + ('іраймбіланья', 'іраймбіланья', 'іраймбіланья') + ), + 'MKD': ( + ('денар', 'денари', 'денарів'), + ('дені', 'дені', 'дені') + ), + 'MMK': ( + ('к\'ят', 'к\'ят', 'к\'ят'), + ('п\'я', 'п\'я', 'п\'я') + ), + 'MNT': ( + ('тугрик', 'тугрики', 'тугриків'), + ('мунгу', 'мунгу', 'мунгу') + ), + 'MOP': ( + ('патака', 'патакі', 'патак'), + ('аво', 'аво', 'аво') + ), + 'MRU': ( + ('угія', 'угії', 'угій'), + ('хумс', 'хумс', 'хумс') + ), + 'MUR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'MVR': ( + ('руфія', 'руфії', 'руфій'), + ('ларі', 'ларі', 'ларі') + ), + 'MWK': ( + ('квача', 'квачі', 'квач'), + ('тамбала', 'тамбала', 'тамбала') + ), + 'MXN': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'MYR': ( + ('рингіт', 'рингіти', 'рингітів'), + GENERIC_CENTS + ), + 'MZN': ( + ('метікал', 'метікали', 'метікалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'NAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'NGN': ( + ('найра', 'найри', 'найр'), + ('кобо', 'кобо', 'кобо') + ), + 'NIO': ( + ('кордоба', 'кордоби', 'кордоб'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'NOK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'NPR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': ( + ('ріал', 'ріали', 'ріалів'), + ('байза', 'байзи', 'байз') + ), + 'PAB': ( + ('бальбоа', 'бальбоа', 'бальбоа'), + ('сентесімо', 'сентесімо', 'сентесімо') + ), + 'PEN': ( + ('соль', 'соль', 'соль'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'PGK': ( + ('кіна', 'кіна', 'кіна'), + ('тойя', 'тойя', 'тойя') + ), + 'PHP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'PKR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'PLN': ( + ('злотий', 'злоті', 'злотих'), + ('грош', 'гроші', 'грошів') + ), + 'PYG': ( + ('гуарані', 'гуарані', 'гуарані'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'QAR': ( + ('ріал', 'ріали', 'ріалів'), + ('дирхам', 'дирхами', 'дирхамів') + ), + 'RON': ( + ('лей', 'леї', 'леї'), + ('бан', 'бані', 'бані') + ), + 'RSD': ( + ('динар', 'динари', 'динарів'), + ('пара', 'пари', 'пар') + ), + 'RUB': ( + ('рубль', 'рублі', 'рублів'), + ('копійка', 'копійки', 'копійок') + ), + 'RWF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'SAR': ( + ('ріал', 'ріали', 'ріалів'), + ('халал', 'халали', 'халалів') + ), + 'SBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SCR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'SDG': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'SEK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'SGD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SHP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'SLL': ( + ('леоне', 'леоне', 'леоне'), + GENERIC_CENTS + ), + 'SOS': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'SRD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SSP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'STN': ( + ('добра', 'добри', 'добр'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'SYP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'SZL': ( + ('ліланґені', 'ліланґені', 'ліланґені'), + GENERIC_CENTS + ), + 'THB': ( + ('бат', 'бати', 'батів'), + ('сатанг', 'сатанги', 'сатангів') + ), + 'TJS': ( + ('сомоні', 'сомоні', 'сомоні'), + ('дірам', 'дірами', 'дірамів') + ), + 'TMT': ( + ('манат', 'манати', 'манатів'), + ('тенге', 'тенге', 'тенге') + ), + 'TND': ( + ('динар', 'динари', 'динарів'), + ('міллім', 'мілліми', 'міллімів') + ), + 'TOP': ( + ('паанга', 'паанга', 'паанга'), + ('сеніті', 'сеніті', 'сеніті') + ), + 'TRY': ( + ('ліра', 'ліри', 'лір'), + ('куруш', 'куруші', 'курушів') + ), + 'TTD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'TWD': ( + ('новий долар', 'нові долари', 'нових доларів'), + GENERIC_CENTS + ), + 'TZS': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'UAH': ( + ('гривня', 'гривні', 'гривень'), + ('копійка', 'копійки', 'копійок') + ), + 'UGX': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'UYU': ( + ('песо', 'песо', 'песо'), + ('сентесімо', 'сентесімо', 'сентесімо') + ), + 'UZS': ( + ('сум', 'суми', 'сумів'), + ('тиїн', 'тиїни', 'тиїнів') + ), + 'VND': ( + ('донг', 'донги', 'донгів'), + ('су', 'су', 'су') + ), + 'WST': ( + ('тала', 'тали', 'тал'), + ('сене', 'сене', 'сене') + ), + 'XCD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'YER': ( + ('ріал', 'ріали', 'ріалів'), + ('філс', 'філси', 'філсів') + ), + 'ZAR': ( + ('ранд', 'ранди', 'рандів'), + GENERIC_CENTS + ), + 'ZMW': ( + ('квача', 'квачі', 'квач'), + ('нгве', 'нгве', 'нгве') + ), + } + + def setup(self): + self.negword = "мінус" + self.pointword = "кома" + + def to_cardinal(self, number, **kwargs): + if 'case' in kwargs: + case = kwargs['case'] + morphological_case = [ + "nominative", + "genitive", + "dative", + "accusative", + "instrumental", + "locative"].index(case) + else: + morphological_case = 0 + + if 'gender' in kwargs: + gender = kwargs['gender'] == 'feminine' + else: + gender = False + + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + right_side = self._int2word(int(right), gender, morphological_case) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + right_side) + return u'%s %s %s' % ( + self._int2word(int(left), gender, morphological_case), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n), gender, morphological_case) + + def pluralize(self, n, forms): + if n % 100 < 10 or n % 100 > 20: + if n % 10 == 1: + form = 0 + elif 5 > n % 10 > 1: + form = 1 + else: + form = 2 + else: + form = 2 + + return forms[form] + + def _int2word(self, n, feminine=False, morphological_case=0): + if n < 0: + n_value = self._int2word(abs(n), feminine, morphological_case) + return ' '.join([self.negword, + n_value]) + + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][morphological_case]) + + if n2 > 1: + words.append(TWENTIES[n2][morphological_case]) + + if n2 == 1: + words.append(TENS[n1][morphological_case]) + # elif n1 > 0 and not (i > 0 and x == 1): + elif n1 > 0: + ones = ONES_FEMININE if i == 1 or feminine and i == 0 else ONES + words.append(ones[n1][morphological_case]) + + if i > 0: + thousands_val = THOUSANDS[i][morphological_case] + words.append(self.pluralize(x, thousands_val)) + + return ' '.join(words) + + def _money_verbose(self, number, currency): + return self._int2word(number, currency in FEMININE_MONEY) + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency in FEMININE_CENTS) + + @staticmethod + def last_fragment_to_ordinal(last, words, level): + n1, n2, n3 = get_digits(last) + last_two = n2*10+n1 + if last_two == 0: + words.append(HUNDREDS_ORDINALS[n3][level]) + elif level == 1 and last == 1: + return + elif last_two < 20: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(ONES_ORDINALS[last_two][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += ONES_ORDINALS[last_two][1] + words.append(last_fragment_string) + elif last_two % 10 == 0: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES_ORDINALS[n2][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += TWENTIES_ORDINALS[n2][1] + words.append(last_fragment_string) + else: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES[n2][0]) + words.append(ONES_ORDINALS[n1][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += TWENTIES_ORDINALS[n2][1] + last_fragment_string += ONES_ORDINALS[n1][1] + words.append(last_fragment_string) + + def to_ordinal(self, number): + self.verify_ordinal(number) + + words = [] + fragments = list(splitbyx(str(number), 3)) + level = 0 + last = fragments[-1] + while last == 0: + level = level + 1 + fragments.pop() + last = fragments[-1] + if len(fragments) > 1: + pre_part = self._int2word(number - (last * 1000 ** level)) + words.append(pre_part) + Num2Word_UK.last_fragment_to_ordinal( + last, + words, + 0 if level == 0 else 1 + ) + output = " ".join(words) + if last == 1 and level > 0 and output != "": + output = output + " " + if level > 0: + output = output + prefixes_ordinal[level] + return output diff --git a/ext/py/num2words/build/lib/num2words/lang_VI.py b/ext/py/num2words/build/lib/num2words/lang_VI.py new file mode 100644 index 0000000..d30fca2 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_VI.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +to_19 = (u'không', u'một', u'hai', u'ba', u'bốn', u'năm', u'sáu', + u'bảy', u'tám', u'chín', u'mười', u'mười một', u'mười hai', + u'mười ba', u'mười bốn', u'mười lăm', u'mười sáu', u'mười bảy', + u'mười tám', u'mười chín') +tens = (u'hai mươi', u'ba mươi', u'bốn mươi', u'năm mươi', + u'sáu mươi', u'bảy mươi', u'tám mươi', u'chín mươi') +denom = ('', + u'nghìn', u'triệu', u'tỷ', u'nghìn tỷ', u'trăm nghìn tỷ', + 'Quintillion', 'Sextillion', 'Septillion', 'Octillion', 'Nonillion', + 'Decillion', 'Undecillion', 'Duodecillion', 'Tredecillion', + 'Quattuordecillion', 'Sexdecillion', 'Septendecillion', + 'Octodecillion', 'Novemdecillion', 'Vigintillion') + + +class Num2Word_VI(object): + + def _convert_nn(self, val): + if val < 20: + return to_19[val] + for (dcap, dval) in ((k, 20 + (10 * v)) for (v, k) in enumerate(tens)): + if dval + 10 > val: + if val % 10: + a = u'lăm' + if to_19[val % 10] == u'một': + a = u'mốt' + else: + a = to_19[val % 10] + if to_19[val % 10] == u'năm': + a = u'lăm' + return dcap + ' ' + a + return dcap + + def _convert_nnn(self, val): + word = '' + (mod, rem) = (val % 100, val // 100) + if rem > 0: + word = to_19[rem] + u' trăm' + if mod > 0: + word = word + ' ' + if mod > 0 and mod < 10: + if mod == 5: + word = word != '' and word + u'lẻ năm' or word + u'năm' + else: + word = word != '' and word + u'lẻ ' \ + + self._convert_nn(mod) or word + self._convert_nn(mod) + if mod >= 10: + word = word + self._convert_nn(mod) + return word + + def vietnam_number(self, val): + if val < 100: + return self._convert_nn(val) + if val < 1000: + return self._convert_nnn(val) + for (didx, dval) in ((v - 1, 1000 ** v) for v in range(len(denom))): + if dval > val: + mod = 1000 ** didx + lval = val // mod + r = val - (lval * mod) + + ret = self._convert_nnn(lval) + u' ' + denom[didx] + if 99 >= r > 0: + ret = self._convert_nnn(lval) + u' ' + denom[didx] + u' lẻ' + if r > 0: + ret = ret + ' ' + self.vietnam_number(r) + return ret + + def number_to_text(self, number): + number = '%.2f' % number + the_list = str(number).split('.') + start_word = self.vietnam_number(int(the_list[0])) + final_result = start_word + if len(the_list) > 1 and int(the_list[1]) > 0: + end_word = self.vietnam_number(int(the_list[1])) + final_result = final_result + ' phẩy ' + end_word + return final_result + + def to_cardinal(self, number): + return self.number_to_text(number) + + def to_ordinal(self, number): + return self.to_cardinal(number) diff --git a/ext/py/num2words/build/lib/num2words/lang_ZH.py b/ext/py/num2words/build/lib/num2words/lang_ZH.py new file mode 100644 index 0000000..fe670a9 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ZH.py @@ -0,0 +1,296 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import strtype +from .currency import parse_currency_parts + + +class Num2Word_ZH(Num2Word_Base): + CURRENCY_FLOATS = ["角", "分"] + + CURRENCY_FORMS = { + "XXX": "元", # Generic dollar + "CNY": "人民幣", + "NTD": "新台幣", + "HKD": "港幣", + "MOP": "澳門幣", + "SGD": "新加坡元", + "MYR": "馬來西亞令吉", + "USD": "美元", + "EUR": "歐元", + "GBP": "英鎊", + "JPY": "日元", + "CHF": "瑞士法郎", + "CAD": "加元", + "AUD": "澳幣", + "NZD": "紐西蘭元", + "THB": "泰銖", + "KRW": "韓元", + } + + cheque_suffix = "正" + year = "年" + year_prefix = ("公元", "西元") + year_bce = "前" + ord_prefix = "第" + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def to_cardinal(self, value, stuff_zero=2, reading=False, prefer=None): + self.stuff_zero = stuff_zero + self.set_str_selection(reading, prefer) + + out = super().to_cardinal(value).replace(" ", "") + return self.zh_to_cap(out, reading == "capital") + + def to_cardinal_float(self, value): + out = super().to_cardinal_float(value).replace(" ", "") + return self.zh_to_cap(out, self.capital) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + ltext, rtext = self.select_text(ltext), self.select_text(rtext) + # ignore lpair if lnum is 1 and rnum is less than 10 + if lnum == 1 and rnum < 10: + return (rtext, rnum) + # stuff_zero logic between discontinous numbers + # http://www.hkame.org.hk/uploaded_files/magazine/15/271.pdf + with_zero = ("%s%s%s" % (ltext, self.select_text( + self.low_numwords[-1]), rtext), lnum + rnum) + no_zero = ("%s%s" % (ltext, rtext), lnum + rnum) + if len(str(lnum)) - len(str(rnum)) > 1: + if self.stuff_zero == 1: # 凡「零」必讀 All discontinous numbers + return with_zero + elif self.stuff_zero == 2: # Discontinous high numbers + if len(str(lnum)) - len(str(rnum) + ) > 1 and len(str(rnum)) % 4 != 0: + return with_zero + return no_zero + elif self.stuff_zero == 3: # 凡「零」不讀 No zeros + return no_zero + elif rnum > lnum: + return ("%s%s" % (ltext, rtext), lnum * rnum) + return no_zero + + def to_ordinal(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + self.verify_ordinal(value) + base = self.to_cardinal(value, reading=reading, prefer=prefer) + return "%s%s%s" % (self.select_text(self.ord_prefix), + base, self.select_text(counter)) + + def to_ordinal_num(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + return "%s%s%s" % (self.select_text(self.ord_prefix), + value, self.select_text(counter)) + + def to_year(self, value, reading=False, prefer=None): + self.set_str_selection(reading, prefer) + + if not value == int(value): + raise TypeError(self.errmsg_floatyear % value) + + out = [] + if value < 0: + out += [self.year_prefix, self.year_bce] + elif reading == "capital": + out += [self.year_prefix] + + out += [self.cards[int(s)] for s in str(abs(int(value)))] + out += [self.year] + + return "".join(self.select_text(s) for s in out) + + def to_currency(self, val, currency='XXX', cents=False, separator="", + adjective=False, reading=False, prefer=None): + """ + Args: + val: Numeric value + currency (str): Currency code + # cents (bool): Verbose cents + # separator (str): Cent separator + # adjective (bool): Prefix currency name with adjective + capital (bool): Select the capital form of a Chinese numeral + Returns: + str: Formatted string + + Handles whole numbers and decimal numbers differently + """ + self.set_str_selection(reading, prefer) + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=False) + + try: + cr = self.CURRENCY_FORMS[currency] + # Not Applicable: ValueError + # CURRENCY_FLOATS are the generic terms for demicals + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + # CURRENCY_ADJECTIVES are not implemented + minus_str = self.negword if is_negative else "" + money_str = self.to_cardinal(left, reading=reading, prefer=prefer) + # has_decimal is not implemented + + if currency == "XXX": + cr_pre, cr_post = ("", cr) + else: + cr_pre, cr_post = (cr, self.CURRENCY_FORMS["XXX"]) + cents_str = self.to_currency_float( + right, reading=reading, prefer=prefer) + # Only add "整" in capital format + cheque = self.cheque_suffix if len( + cents_str) == 0 and reading == "capital" else "" + + for c in [minus_str, money_str, cr_post, *cents_str, cheque]: + cr_pre += self.zh_to_cap(self.select_text(c), reading == "capital") + return cr_pre + + def to_currency_float(self, value, reading=False, prefer=None): + cents = "%02d" % value + out = [] + + if int(cents) > 0: + if not (int(cents[0]) == 0 and reading == "capital"): + out += [self.cards[int(cents[0])]] + if int(cents[0]) > 0: + out += [self.CURRENCY_FLOATS[0]] + if int(cents[1]) > 0: + out += [self.cards[int(cents[1])], self.CURRENCY_FLOATS[1]] + + return out + + def zh_to_cap(self, value, capital): + """ + Select the capital form of a Chinese numeral + """ + out = value + one, ten = self.select_text( + self.cards[1]), self.select_text( + self.cards[10]) + if capital: + for cap_w in self.CAP_map: + if cap_w[0] in out: + out = out.replace(cap_w[0], cap_w[1]) + return out + elif out.startswith(one + ten): + out = out[len(one):] + return out + + def setup(self): + self.precision = 2 + self.negword = "負" + self.pointword = "點" + self.exclude_title = [self.negword, self.pointword] + self.errmsg_floatyear = "Cannot treat float %s as year." + + self.reading = None + self.prefer = None + + self.high_numwords = [ + "萬", # 10 ** 4 + "億", # 10 ** 8 + "兆", # 10 ** 12 + "京", # 10 ** 16 + "垓", # 10 ** 20 + "秭", # 10 ** 24 + "穣", # 10 ** 28 + "溝", # 10 ** 32 + "澗", # 10 ** 36 + "正", # 10 ** 40 + "載", # 10 ** 44 + "極", # 10 ** 48 + "恆河沙", # 10 ** 52 + "阿僧祇", # 10 ** 56 + "那由他", # 10 ** 60 + "不可思議", # 10 ** 64 + "無量", # 10 ** 68 + "不可說", # 10 ** 72 + ] + self.high_numwords.reverse() + + self.mid_numwords = [ + (1000, '千'), + (100, '百'), + (10, '十') + ] + self.low_numwords = [ + "九", + "八", + "七", + "六", + "五", + "四", + "三", + "二", + "一", + ("零", "〇") + ] + + CAP_map = [ + ("千", "仟"), + ("百", "佰"), + ("十", "拾"), + ("九", "玖"), + ("八", "捌"), + ("七", "柒"), + ("六", "陸"), + ("五", "伍"), + ("四", "肆"), + ("三", "叁"), + ("二", "貳"), + ("一", "壹"), + ("元", "圓"), + ("正", "整"), + ] + + def select_text(self, text): + """Select the correct text from the Chinese, phonetic symbol (注音) or + alternatives ('ㄧ' or '壹')""" + if isinstance(text, strtype): + return text + if len(text) == 0: + return '' + # Check if reading is provided + if all(isinstance(item, tuple) for item in text): + if self.reading is True: + text = text[1] + else: + text = text[0] + + # select the preferred one or the first one from multiple alternatives + if not isinstance(text, strtype): + common = set(text) & set(self.prefer or set()) + if len(common) == 1: + text = common.pop() + else: + text = text[0] + return text + + def set_str_selection(self, reading, prefer): + self.reading = reading + self.prefer = prefer + self.capital = reading == "capital" diff --git a/ext/py/num2words/build/lib/num2words/lang_ZH_CN.py b/ext/py/num2words/build/lib/num2words/lang_ZH_CN.py new file mode 100644 index 0000000..e608a8e --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ZH_CN.py @@ -0,0 +1,85 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_CN(Num2Word_ZH): + CURRENCY_FORMS = { + "XXX": "元", # Generic dollar + "CNY": "人民币", + "NTD": "新台币", + "HKD": "港币", + "MOP": "澳门币", + "SGD": "新加坡元", + "MYR": "马来西亚令吉", + "USD": "美元", + "EUR": "欧元", + "GBP": "英镑", + "JPY": "日元", + "CHF": "瑞士法郎", + "CAD": "加元", + "AUD": "澳币", + "NZD": "纽西兰元", + "THB": "泰铢", + "KRW": "韩元", + } + + def setup(self): + super().setup() + self.negword = "负" + self.pointword = "点" + self.exclude_title = [self.negword, self.pointword] + self.high_numwords = [ + "万", # 10 ** 4 + "亿", # 10 ** 8 + "兆", # 10 ** 12 + "京", # 10 ** 16 + "垓", # 10 ** 20 + "秭", # 10 ** 24 + "穣", # 10 ** 28 + "沟", # 10 ** 32 + "涧", # 10 ** 36 + "正", # 10 ** 40 + "载", # 10 ** 44 + "极", # 10 ** 48 + "恒河沙", # 10 ** 52 + "阿僧祇", # 10 ** 56 + "那由他", # 10 ** 60 + "不可思议", # 10 ** 64 + "无量", # 10 ** 68 + "不可说", # 10 ** 72 + ] + self.high_numwords.reverse() + + CAP_map = [ + ("千", "仟"), + ("百", "佰"), + ("十", "拾"), + ("九", "玖"), + ("八", "捌"), + ("七", "柒"), + ("六", "陆"), + ("五", "伍"), + ("四", "肆"), + ("三", "叁"), + ("二", "贰"), + ("一", "壹"), + ("元", "圆"), + ] diff --git a/ext/py/num2words/build/lib/num2words/lang_ZH_HK.py b/ext/py/num2words/build/lib/num2words/lang_ZH_HK.py new file mode 100644 index 0000000..95e29c2 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ZH_HK.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_HK(Num2Word_ZH): + CURRENCY_FLOATS_CHILD = ["毫", "仙"] + + CURRENCY_FORMS_CHILD = { + "EUR": "歐羅", + "JPY": "日圓", + "CAD": "加元", + "AUD": "澳元", + "KRW": "韓圜", + } + + CAP_map_CHILD = [ + ("毫", "角"), + ("仙", "分"), + ] + + def __init__(self): + super().__init__() + self.CURRENCY_FLOATS = self.CURRENCY_FLOATS_CHILD.copy() + self.CURRENCY_FORMS = self.CURRENCY_FORMS.copy() + self.CAP_map = self.CAP_map.copy() + + for k, v in self.CURRENCY_FORMS_CHILD.items(): + self.CURRENCY_FORMS[k] = v + for item in self.CAP_map_CHILD: + self.CAP_map.append(item) diff --git a/ext/py/num2words/build/lib/num2words/lang_ZH_TW.py b/ext/py/num2words/build/lib/num2words/lang_ZH_TW.py new file mode 100644 index 0000000..acd985b --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/lang_ZH_TW.py @@ -0,0 +1,198 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .compat import to_s +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_TW(Num2Word_ZH): + CURRENCY_FORMS_CHILD = { + "XXX": (("元",), ("ㄩㄢˊ",)), # Generic dollar + } + + cheque_suffix = (("正",), ("ㄓㄥˋ",)) + year = (("年",), ("ㄋㄧㄢˊ",)) + year_prefix = (("公元", "西元"), ("ㄍㄨㄥ ㄩㄢˊ", "ㄒㄧㄩㄢˊ")) + year_bce = (("前",), ("ㄑㄧㄢˊ",)) + ord_prefix = (("第",), ("ㄉㄧˋ",)) + ROC_era = (("民國",), ("ㄇㄧㄣˊㄍㄨㄛˊ",)) + + def __init__(self): + super().__init__() + self.CURRENCY_FORMS = self.CURRENCY_FORMS.copy() + + for k, v in self.CURRENCY_FORMS_CHILD.items(): + self.CURRENCY_FORMS[k] = v + + # Get reading for negword + def to_cardinal(self, value, stuff_zero=2, reading=False, prefer=None): + self.stuff_zero = stuff_zero + self.set_str_selection(reading, prefer) + + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value, reading, prefer) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.select_text(self.negword).strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value) + words, num = self.clean(val) + out = self.title(out + words) + + out = self.zh_to_cap(out, reading == "capital") + return out.replace(" ", "") + + # Get reading for pointword + def to_cardinal_float(self, value, reading=False, prefer=None): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre, reading=reading, prefer=prefer)] + if value < 0 and pre == 0: + out = [self.select_text(self.negword).strip()] + out + + if self.precision: + out.append(self.select_text(self.title(self.pointword))) + + for i in range(self.precision): + curr = int(post[i]) + out.append( + to_s( + self.to_cardinal( + curr, + reading=reading, + prefer=prefer))) + + out = self.zh_to_cap(" ".join(out), self.capital) + return out.replace(" ", "") + + def to_ordinal(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if reading is True: + if counter not in self.counters and counter: + raise NotImplementedError( + f"Reading not implemented for {counter}") + counter = self.counters.get(counter, "") + return super().to_ordinal( + value, counter=counter, reading=reading, prefer=prefer) + + def to_ordinal_num(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if self.reading is True: + if counter not in self.counters and counter: + raise NotImplementedError( + f"Reading not implemented for {counter}") + counter = self.counters.get(counter, "") + return super().to_ordinal_num( + value, counter=counter, reading=reading, prefer=prefer) + + def to_year(self, value, era=False, reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if not era: + return super().to_year(value, reading=reading, prefer=prefer) + + if not value == int(value): + raise TypeError(self.errmsg_floatyear % value) + + min_year = 1912 + if value < min_year: + raise ValueError( + "Can't convert years less than %s to ROC era" % + min_year) + era_year = abs(int(value - min_year + 1)) + + if reading == "arabic": + era_year_words = era_year + elif era_year == 1: + era_year_words = self.select_text((("元",), ("ㄩㄢˊ",))) + elif era_year < 101: + era_year_words = self.to_cardinal(era_year) + else: + era_year_words = "".join( + [self.select_text(self.cards[int(s)]) for s in str(era_year)]) + + return "%s%s%s" % (self.select_text(self.ROC_era), + era_year_words, self.select_text(self.year)) + + def setup(self): + super().setup() + self.negword = (("負",), ("ㄈㄨˋ",)) + self.pointword = (("點",), ("ㄉㄧㄢˇ",)) + self.exclude_title = [self.negword, self.pointword] + + self.high_numwords = [ + (("萬",), ("ㄨㄢˋ",)), # 10**4 + (("億",), ("ㄧˋ",)), # 10**8 + (("兆",), ("ㄓㄠˋ",)), # 10**12 + (("京",), ("ㄐㄧㄥ",)), # 10**16 + (("垓",), ("ㄍㄞ",)), # 10**20 + (("秭",), ("ㄗˇ",)), # 10**24 + (("穣",), ("ㄖㄤ",)), # 10**28 + (("溝",), ("ㄍㄡ",)), # 10**32 + (("澗",), ("ㄐㄧㄢˋ",)), # 10**36 + (("正",), ("ㄓㄥˋ",)), # 10**40 + (("載",), ("ㄗㄞˇ",)), # 10**44 + (("極",), ("ㄐㄧˊ",)), # 10**48 + (("恆河沙",), ("ㄏㄥˊㄏㄜˊㄕㄚ",)), # 10**52 + (("阿僧祇",), ("ㄚㄙㄥㄑㄧˊ",)), # 10**56 + (("那由他",), ("ㄋㄚˋㄧㄡˊㄊㄚ",)), # 10**60 + (("不可思議",), ("ㄅㄨˋㄎㄜˇㄙㄧˋ",)), # 10**64 + (("無量",), ("ㄨˊㄌㄧㄤˋ",)), # 10**68 + (("不可說",), ("ㄅㄨˋㄎㄜˇㄕㄨㄛ",)) # 10**72 + ] + self.high_numwords.reverse() + + self.counters = { + "個": "˙ㄍㄜ", + "名": "ㄇㄧㄥˊ", + "位": "ㄨㄟˋ" + } + + self.mid_numwords = [ + (1000, (("千",), ("ㄑㄧㄢ",))), + (100, (("百",), ("ㄅㄞˇ",))), + ] + + self.low_numwords = [ + (("十", "拾"), ("ㄕˊ",)), # 10 + (("九", "玖"), ("ㄐㄧㄡˇ",)), # 9 + (("八", "捌"), ("ㄅㄚ",)), # 8 + (("七", "柒"), ("ㄑㄧ",)), # 7 + (("六", "陸"), ("ㄌㄧㄡˋ",)), # 6 + (("五", "伍"), ("ㄨˇ",)), # 5 + (("四", "肆"), ("ㄙˋ",)), # 4 + (("三", "參"), ("ㄙㄢ",)), # 3 + (("二", "貳"), ("ㄦˋ",)), # 2 + (("一", "壹"), ("ㄧ",)), # 1 + (("零", "〇"), ("ㄌㄧㄥˊ",)), # 0 + ] diff --git a/ext/py/num2words/build/lib/num2words/utils.py b/ext/py/num2words/build/lib/num2words/utils.py new file mode 100644 index 0000000..b5e4611 --- /dev/null +++ b/ext/py/num2words/build/lib/num2words/utils.py @@ -0,0 +1,35 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +def splitbyx(n, x, format_int=True): + length = len(n) + if length > x: + start = length % x + if start > 0: + result = n[:start] + yield int(result) if format_int else result + for i in range(start, length, x): + result = n[i:i+x] + yield int(result) if format_int else result + else: + yield int(n) if format_int else n + + +def get_digits(n): + a = [int(x) for x in reversed(list(('%03d' % n)[-3:]))] + return a diff --git a/ext/py/num2words/build/scripts-3.12/num2words b/ext/py/num2words/build/scripts-3.12/num2words new file mode 100644 index 0000000..4d1d475 --- /dev/null +++ b/ext/py/num2words/build/scripts-3.12/num2words @@ -0,0 +1,95 @@ +#!python +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +"""num2words: convert numbers into words. + +Usage: + num2words [options] + num2words --list-languages + num2words --list-converters + num2words --help + +Arguments: + Number you want to convert into words + +Options: + -L --list-languages Show all languages. + -C --list-converters Show all converters. + -l --lang= Output language [default: en]. + -t --to= Output converter [default: cardinal]. + -h --help Show this message. + -v --version Show version. + +Examples: + $ num2words 10001 + ten thousand and one + + $ num2words 24,120.10 + twenty-four thousand, one hundred and twenty point one + + $ num2words 24,120.10 -l es + veinticuatro mil ciento veinte punto uno + + $num2words 2.14 -l es --to currency + dos euros con catorce céntimos +""" + +from __future__ import print_function, unicode_literals +import os +import sys +from docopt import docopt +import num2words + +__version__ = "0.5.14" +__license__ = "LGPL" + + +def get_languages(): + return sorted(list(num2words.CONVERTER_CLASSES.keys())) + + +def get_converters(): + return sorted(list(num2words.CONVERTES_TYPES)) + + +def main(): + version = "{}=={}".format(os.path.basename(__file__), __version__) + args = docopt(__doc__, argv=None, help=True, version=version, options_first=False) + if args["--list-languages"]: + for lang in get_languages(): + sys.stdout.write(lang) + sys.stdout.write(os.linesep) + sys.exit(0) + if args["--list-converters"]: + for cvt in get_converters(): + sys.stdout.write(cvt) + sys.stdout.write(os.linesep) + sys.exit(0) + try: + words = num2words.num2words(args[''], lang=args['--lang'], to=args['--to']) + sys.stdout.write(words + os.linesep) + sys.exit(0) + except Exception as err: + sys.stderr.write(str(args[''])) + sys.stderr.write(str(err) + os.linesep) + sys.stderr.write(__doc__) + sys.exit(1) + + +if __name__ == '__main__': + main() diff --git a/ext/py/num2words/docker-compose.yml b/ext/py/num2words/docker-compose.yml new file mode 100644 index 0000000..d2b033f --- /dev/null +++ b/ext/py/num2words/docker-compose.yml @@ -0,0 +1,7 @@ +version: '3.0' +services: + web: + image: python:3-alpine + command: python3 -m http.server 8080 + volumes: + - .:/num2words diff --git a/ext/py/num2words/num2words.egg-info/PKG-INFO b/ext/py/num2words/num2words.egg-info/PKG-INFO new file mode 100644 index 0000000..15a8d3d --- /dev/null +++ b/ext/py/num2words/num2words.egg-info/PKG-INFO @@ -0,0 +1,416 @@ +Metadata-Version: 2.4 +Name: num2words +Version: 0.5.14 +Summary: Modules to convert numbers to words. Easily extensible. +Home-page: https://github.com/savoirfairelinux/num2words +Author: Taro Ogawa +Author-email: tos@users.sourceforge.net +Maintainer: Savoir-faire Linux inc. +Maintainer-email: support@savoirfairelinux.com +License: LGPL +Keywords: number word numbers words convert conversion i18n localisation localization internationalisation internationalization +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL) +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Topic :: Software Development :: Internationalization +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Classifier: Topic :: Software Development :: Localization +Classifier: Topic :: Text Processing :: Linguistic +Description-Content-Type: text/markdown +Requires-Dist: docopt>=0.6.2 +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: description +Dynamic: description-content-type +Dynamic: home-page +Dynamic: keywords +Dynamic: license +Dynamic: maintainer +Dynamic: maintainer-email +Dynamic: requires-dist +Dynamic: summary + +num2words library - Convert numbers to words in multiple languages +================================================================== + +.. image:: https://img.shields.io/pypi/v/num2words.svg + :target: https://pypi.python.org/pypi/num2words + +.. image:: https://travis-ci.org/savoirfairelinux/num2words.svg?branch=master + :target: https://travis-ci.org/savoirfairelinux/num2words + +.. image:: https://coveralls.io/repos/github/savoirfairelinux/num2words/badge.svg?branch=master + :target: https://coveralls.io/github/savoirfairelinux/num2words?branch=master + + +``num2words`` is a library that converts numbers like ``42`` to words like ``forty-two``. +It supports multiple languages (see the list below for full list +of languages) and can even generate ordinal numbers like ``forty-second`` +(although this last feature is a bit buggy for some languages at the moment). + +The project is hosted on GitHub_. Contributions are welcome. + +.. _GitHub: https://github.com/savoirfairelinux/num2words + +Installation +------------ + +The easiest way to install ``num2words`` is to use pip:: + + pip install num2words + +Otherwise, you can download the source package and then execute:: + + python setup.py install + +The test suite in this library is new, so it's rather thin, but it can be run with:: + + python setup.py test + +To run the full CI test suite which includes linting and multiple python environments:: + + pip install tox + tox + +Usage +----- +Command line:: + + $ num2words 10001 + ten thousand and one + $ num2words 24,120.10 + twenty-four thousand, one hundred and twenty point one + $ num2words 24,120.10 -l es + veinticuatro mil ciento veinte punto uno + $num2words 2.14 -l es --to currency + dos euros con catorce céntimos + +In code there's only one function to use:: + + >>> from num2words import num2words + >>> num2words(42) + forty-two + >>> num2words(42, to='ordinal') + forty-second + >>> num2words(42, lang='fr') + quarante-deux + +Besides the numerical argument, there are two main optional arguments, ``to:`` and ``lang:`` + +**to:** The converter to use. Supported values are: + +* ``cardinal`` (default) +* ``ordinal`` +* ``ordinal_num`` +* ``year`` +* ``currency`` + +**lang:** The language in which to convert the number. Supported values are: + +* ``en`` (English, default) +* ``am`` (Amharic) +* ``ar`` (Arabic) +* ``az`` (Azerbaijani) +* ``be`` (Belarusian) +* ``bn`` (Bangladeshi) +* ``ca`` (Catalan) +* ``ce`` (Chechen) +* ``cs`` (Czech) +* ``cy`` (Welsh) +* ``da`` (Danish) +* ``de`` (German) +* ``en_GB`` (English - Great Britain) +* ``en_IN`` (English - India) +* ``en_NG`` (English - Nigeria) +* ``es`` (Spanish) +* ``es_CO`` (Spanish - Colombia) +* ``es_CR`` (Spanish - Costa Rica) +* ``es_GT`` (Spanish - Guatemala) +* ``es_VE`` (Spanish - Venezuela) +* ``eu`` (EURO) +* ``fa`` (Farsi) +* ``fi`` (Finnish) +* ``fr`` (French) +* ``fr_BE`` (French - Belgium) +* ``fr_CH`` (French - Switzerland) +* ``fr_DZ`` (French - Algeria) +* ``he`` (Hebrew) +* ``hi`` (Hindi) +* ``hu`` (Hungarian) +* ``hy`` (Armenian) +* ``id`` (Indonesian) +* ``is`` (Icelandic) +* ``it`` (Italian) +* ``ja`` (Japanese) +* ``kn`` (Kannada) +* ``ko`` (Korean) +* ``kz`` (Kazakh) +* ``mn`` (Mongolian) +* ``lt`` (Lithuanian) +* ``lv`` (Latvian) +* ``nl`` (Dutch) +* ``no`` (Norwegian) +* ``pl`` (Polish) +* ``pt`` (Portuguese) +* ``pt_BR`` (Portuguese - Brazilian) +* ``ro`` (Romanian) +* ``ru`` (Russian) +* ``sl`` (Slovene) +* ``sk`` (Slovak) +* ``sr`` (Serbian) +* ``sv`` (Swedish) +* ``te`` (Telugu) +* ``tet`` (Tetum) +* ``tg`` (Tajik) +* ``tr`` (Turkish) +* ``th`` (Thai) +* ``uk`` (Ukrainian) +* ``vi`` (Vietnamese) +* ``zh`` (Chinese - Traditional) +* ``zh_CN`` (Chinese - Simplified / Mainland China) +* ``zh_TW`` (Chinese - Traditional / Taiwan) +* ``zh_HK`` (Chinese - Traditional / Hong Kong) + +You can supply values like ``fr_FR``; if the country doesn't exist but the +language does, the code will fall back to the base language (i.e. ``fr``). If +you supply an unsupported language, ``NotImplementedError`` is raised. +Therefore, if you want to call ``num2words`` with a fallback, you can do:: + + try: + return num2words(42, lang=mylang) + except NotImplementedError: + return num2words(42, lang='en') + +Additionally, some converters and languages support other optional arguments +that are needed to make the converter useful in practice. + +Wiki +---- +For additional information on some localization please check the Wiki_. +And feel free to propose wiki enhancement. + +.. _Wiki: https://github.com/savoirfairelinux/num2words/wiki + +History +------- + +``num2words`` is based on an old library, ``pynum2word``, created by Taro Ogawa +in 2003. Unfortunately, the library stopped being maintained and the author +can't be reached. There was another developer, Marius Grigaitis, who in 2011 +added Lithuanian support, but didn't take over maintenance of the project. + +I am thus basing myself on Marius Grigaitis' improvements and re-publishing +``pynum2word`` as ``num2words``. + +Virgil Dupras, Savoir-faire Linux + +Changelog +========= + +Version 0.5.14 -- 2024/12/16 +---------------------------- + +* Fixed a typo in PL (#466) +* Run tests against Python 3.12 (#544) +* ADD num2words: es_CR language (#565) +* New languages: Welsh (Celtic) and Chechen (Nakho-Dagestanian) (#543) +* Add catalan language support (#581) +* Adding Tetum Language (#576) +* FIX ISO code for Belarusian language is be, not by. (#574) +* Add test to improve coverage (#595) +* Added Bangla language support to num2word for Bangladesh. (#589) +* Czech language ISO 639-1 code fix (#587) +* Added support for Tunisian Dinar (#593) +* Change danish language code to DA (#596) + + +Version 0.5.13 -- 2023/10/18 +--------------------------- + +* Fix a problem in Brazilian Portuguese code referred to thousands when the hundreds are exact. (#421) +* Fix issue with the hundreds of millions, billions, ... when the hundreds of those are exact. (#436) +* Fix negative number problem (#477) +* Fix lang_DK issues (#366) +* Norwegian uplift (#484) +* BYN to EU and RU (#439) +* Change python3.6 to python3.11 because deprecation in ubuntu 22.04 (#494) +* Add support for Azerbaijani language (#495) +* Add Icelandic (#380) +* Hebrew long-form spelling, gender, ordinals, fractions, maxval=1e66, construct forms (#490) +* Fix 15, 16, 17, 18, 19 issue (#505) +* Added support for the Nigerian Naira (#507) +* Fix several issues with num2words in Arabic (#512) +* Guatemalan currency support (#510) +* Fix #508: Handle string inputs in Italian to_ordinal (#518) +* Add Slovak language support (#533) +* Add gender and morphological cases support for Ukrainian (#530) +* Adding genders for Russian language (#503) +* Lang By Added (#506) +* Add Saudi Riyal to english (#531) + +Version 0.5.12 -- 2022/08/19 +---------------------------- + +* Support Japanese Reiwa (令和/れいわ) era. (#412) +* Add basic farsi support (#354) +* Added Tajik language support (#406) +* Fix Amharic language support (#465) +* Fix Hebrew pluralize and implement to_currency (#330) +* Add support to translate some currencies in italian language (#434) +* Fix Polish twenties (#345) +* Add uzs for ru and en (#422) +* Added support for Esperanto numbers. (#387) +* [ADD] to ordinal number for Turkish (#468) +* Fix zeroth in Dutch to nulde fixing (#326) + +Version 0.5.11 -- 2022/08/03 +---------------------------- + +* Add KZT and UAH currencies to lang RU (#264) +* Add es_NI currency (#276) +* Update .gitignore to add .eggs/ directory (#280) +* Fix Hebrew support (#289) +* Update test_tr.py to increase coverage (#298) +* Add ordinal 12,345 to ES test suite to increase coverage (#287) +* Add simple tests for lang_DK.py (#286) +* Add testcase for lang_EN.py (#288) +* Add more tests to base.py (#283) +* Fixed misspelling of 21 (cardinal and ordinal number) in IT language (#270) +* Romanian issues 259 (#260) +* Adding Language Support for Telugu / Bug Fix in Kannada (#263) +* Add support of Kazakh language (KZ) (#306) +* Update README.rst (#307) +* Added support for Hungarian language (#310) +* [UPD] Readme file (#363) +* [ADD] num2words: add traslation to spanish of several currencies (#356) +* added swedish language including test cases (#352) +* Remove dupplicated line in lang_PT_BR (#355) +* Fix ordinal_num output for Dutch (NL) (#369) +* Polishordinals (#367) +* [tr] return Turkish 0 ordinal and cardinal (#347) +* Improve Ukrainian support and minor fixes in CZ, KZ, LT, LV, PL, RU, SR languages (#400) +* feat: ci: replace travis by github workflows (#448) +* [ES] Added missing accents ("dieciséis", "dólar", "dólares", "veintiún"), improved currency gender handling, fixed pound cent names (#443) + +Version 0.5.10 -- 2019/05/12 +---------------------------- + +* Add Kannada language localization (#243) +* Revert some copyrights changed by mistake (#254) +* Add indian rupee to the supported currencies (#248) +* Improve currency functions for German and French (#247) +* Improve Slovene localization (#246) +* Improve Spanish localization (#240) +* Fix typo 'seperator' on source code (#238) +* Convert string to decimal values (#223) +* Improve German localization and test coverage (#237) +* Improve Polish localization (#233) +* Fix ordinal number for French ending on 1 (#236) + +Version 0.5.9 -- 2019/01/10 +--------------------------- + +* Fix encoding issue on release 0.5.8 (#229) +* Improve Polish localization (#228) + + +Version 0.5.8 -- 2018/11/17 +--------------------------- + +* Add Portuguese (Portugal) localization (#198) +* Add a command line tool to use num2words +* Use language iso code for Vietnamese +* Improve Korean localization (#219) +* Improve Serbian (Latin) localization (#207) +* Improve testing setup (#220) +* Improve German localization (#214) (#222) +* Improve Romanian localization (#215) +* Improve Spanish localization (#187) (#200) +* Improve Russian localization (#211) (#212) +* Improve French localization (23902ab) +* Improve Arabic localization (#176) +* Improve Lithuanian and Latvian localization (#185) +* Improve Ukrainian localization (#183) + + +Version 0.5.7 -- 2018/06/27 +--------------------------- + +* Add Finnish localization. (#170) +* Add Japanese localization. (#171) +* Add belgian-french localization. (#151) +* Add Czech localization. (#154) +* Add Thai localization. (#139) +* Improve English localization. (#144) +* Improve Spanish localization. (#167) +* Improve Italian localization. (#143) +* Improve documentation. (#155, #145, #174) + +Version 0.5.6 -- 2017/11/22 +--------------------------- + +* Refactor to_currency (#135) +* Allow the use of other convertes to_currency, to_year (#95) +* Fix code to respect PEP8 (#98, #105) +* Add Slovene localization (#97) +* Add Ukrainian localization (#93) +* Add Dutch localization (#91) +* Add Algeria-French localization (#86) +* Add Turkish localization (#85) + +Version 0.5.5 -- 2017/07/02 +--------------------------- + +* Add Arabic localization (#72) +* Add Spanish-Colombian and Spanish-Venezuelan localization (#67) +* Add VietNam localization (#61) +* Add Italian localization (#56, #59) +* Improve Russian localization (#62) +* Improve Polish localization (#58) + +Version 0.5.4 -- 2016/10/18 +--------------------------- + +* Tons of new languages! +* Add Polish localization. (#23) +* Add Swiss-French localization. (#38) +* Add Russian localization. (#28, #46, #48) +* Add Indonesian localization. (#29) +* Add Norwegian localization. (#33) +* Add Danish localization. (#40) +* Add Brazilian localization. (#37, #47) +* Improve German localization. (#25, #27, #49) +* Improve Lithuanian localization. (#52) +* Improve floating point spelling. (#24) + +Version 0.5.3 -- 2015/06/09 +--------------------------- + +* Fix packaging issues. (#21, #22) + +Version 0.5.2 -- 2015/01/23 +--------------------------- + +* Added Latvian localization. (#9) +* Improved Spanish localization. (#10, #13, #14) +* Improved Lithuanian localization. (#12) + +Version 0.5.1 -- 2014/03/14 +--------------------------- + +* Added Python 3 support with 2to3. (#3) +* Fixed big numbers in spanish. (#2) +* Fixed bugs in tanslation from 30 to 40 in spanish. (#4) +* Fixed word joining in english. (#8) + +Version 0.5.0 -- 2013/05/28 +--------------------------- + +* Created ``num2words`` based on the old ``pynum2word`` project. diff --git a/ext/py/num2words/num2words.egg-info/SOURCES.txt b/ext/py/num2words/num2words.egg-info/SOURCES.txt new file mode 100644 index 0000000..066bceb --- /dev/null +++ b/ext/py/num2words/num2words.egg-info/SOURCES.txt @@ -0,0 +1,77 @@ +README.rst +setup.py +bin/num2words +num2words/__init__.py +num2words/base.py +num2words/compat.py +num2words/currency.py +num2words/lang_AM.py +num2words/lang_AR.py +num2words/lang_AZ.py +num2words/lang_BE.py +num2words/lang_BN.py +num2words/lang_CA.py +num2words/lang_CE.py +num2words/lang_CS.py +num2words/lang_CY.py +num2words/lang_DA.py +num2words/lang_DE.py +num2words/lang_EN.py +num2words/lang_EN_IN.py +num2words/lang_EN_NG.py +num2words/lang_EO.py +num2words/lang_ES.py +num2words/lang_ES_CO.py +num2words/lang_ES_CR.py +num2words/lang_ES_GT.py +num2words/lang_ES_NI.py +num2words/lang_ES_VE.py +num2words/lang_EU.py +num2words/lang_FA.py +num2words/lang_FI.py +num2words/lang_FR.py +num2words/lang_FR_BE.py +num2words/lang_FR_CH.py +num2words/lang_FR_DZ.py +num2words/lang_HE.py +num2words/lang_HI.py +num2words/lang_HU.py +num2words/lang_HY.py +num2words/lang_ID.py +num2words/lang_IS.py +num2words/lang_IT.py +num2words/lang_JA.py +num2words/lang_KN.py +num2words/lang_KO.py +num2words/lang_KZ.py +num2words/lang_LT.py +num2words/lang_LV.py +num2words/lang_MN.py +num2words/lang_NL.py +num2words/lang_NO.py +num2words/lang_PL.py +num2words/lang_PT.py +num2words/lang_PT_BR.py +num2words/lang_RO.py +num2words/lang_RU.py +num2words/lang_SK.py +num2words/lang_SL.py +num2words/lang_SR.py +num2words/lang_SV.py +num2words/lang_TE.py +num2words/lang_TET.py +num2words/lang_TG.py +num2words/lang_TH.py +num2words/lang_TR.py +num2words/lang_UK.py +num2words/lang_VI.py +num2words/lang_ZH.py +num2words/lang_ZH_CN.py +num2words/lang_ZH_HK.py +num2words/lang_ZH_TW.py +num2words/utils.py +num2words.egg-info/PKG-INFO +num2words.egg-info/SOURCES.txt +num2words.egg-info/dependency_links.txt +num2words.egg-info/requires.txt +num2words.egg-info/top_level.txt \ No newline at end of file diff --git a/ext/py/num2words/num2words.egg-info/dependency_links.txt b/ext/py/num2words/num2words.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/ext/py/num2words/num2words.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/ext/py/num2words/num2words.egg-info/requires.txt b/ext/py/num2words/num2words.egg-info/requires.txt new file mode 100644 index 0000000..017e1de --- /dev/null +++ b/ext/py/num2words/num2words.egg-info/requires.txt @@ -0,0 +1 @@ +docopt>=0.6.2 diff --git a/ext/py/num2words/num2words.egg-info/top_level.txt b/ext/py/num2words/num2words.egg-info/top_level.txt new file mode 100644 index 0000000..4b38fe3 --- /dev/null +++ b/ext/py/num2words/num2words.egg-info/top_level.txt @@ -0,0 +1 @@ +num2words diff --git a/ext/py/num2words/num2words/README.md b/ext/py/num2words/num2words/README.md new file mode 100644 index 0000000..49951f3 --- /dev/null +++ b/ext/py/num2words/num2words/README.md @@ -0,0 +1,70 @@ +# Add new language + +for each new language you must create a file `lang_NN.py` where `NN` is the +ISO 639-1 or ISO 639-3 [language code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes). + +This class must be a subclass of `Num2Word_EU` and implement at least the following methods + +``` +to_cardinal(self, number) +to_ordinal(self, number) +``` + +To integrate your language into the `num2words` module, add the name of your file +to the import list in [num2words/__init__.py](num2words/__init__.py) (top of the file), +and `'nn': lang_NN.Num2Word_NN()` to the `CONVERTER_CLASSES` list in the same file. +Do not forget to remplace `NN` by the appropriate ISO 639 language code. + +The following is a template for a new language class + +``` +from .lang_EU import Num2Word_EU + +class Num2Word_CY(Num2Word_EU): + def setup(self): + Num2Word_EU.setup(self) + + def __init__(self): + pass + + def to_ordinal(self, number): + # implement here your code. number is the integer to be transformed into an ordinal + # as a word (str) + # which is returned + return "NOT IMPLEMENTED" + + def to_cardinal(self, number): + # implement here your code. number is the integer to be transformed into an cardinal + # as a word (str) + # which is returned + return "NOT IMPLEMENTED" +``` + +You can use as manu auxiliary methods as you need to make your code efficient and readable. +If you need further options like Gender, Formal/Informal, add those parameters to the methods, +e.g. + +``` + def to_ordinal(self, number, gender="fem", informal=True) + # your code + pass +``` + +More inspiration can be found in existing `num2words/lang_NN.py` files + +## Code validation + +In order to get your contribution merged into the main project, your code must test the validation tests. +For this install the packages needed to test + +``` +pip install -r requirements-test.txt +``` + +run `tox` and `coverage` to check that the code is well formated and all parts of the code are tested + +``` +tox +python3 -m coverage report -m +``` + diff --git a/ext/py/num2words/num2words/__init__.py b/ext/py/num2words/num2words/__init__.py new file mode 100644 index 0000000..b696906 --- /dev/null +++ b/ext/py/num2words/num2words/__init__.py @@ -0,0 +1,119 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from . import (lang_AM, lang_AR, lang_AZ, lang_BE, lang_BN, lang_CA, lang_CE, + lang_CS, lang_CY, lang_DA, lang_DE, lang_EN, lang_EN_IN, + lang_EN_NG, lang_EO, lang_ES, lang_ES_CO, lang_ES_CR, + lang_ES_GT, lang_ES_NI, lang_ES_VE, lang_FA, lang_FI, lang_FR, + lang_FR_BE, lang_FR_CH, lang_FR_DZ, lang_HE, lang_HI, lang_HU, + lang_HY, lang_ID, lang_IS, lang_IT, lang_JA, lang_KN, lang_KO, + lang_KZ, lang_LT, lang_LV, lang_MN, lang_NL, lang_NO, lang_PL, + lang_PT, lang_PT_BR, lang_RO, lang_RU, lang_SK, lang_SL, + lang_SR, lang_SV, lang_TE, lang_TET, lang_TG, lang_TH, lang_TR, + lang_UK, lang_VI, lang_ZH, lang_ZH_CN, lang_ZH_HK, lang_ZH_TW) + +CONVERTER_CLASSES = { + 'am': lang_AM.Num2Word_AM(), + 'ar': lang_AR.Num2Word_AR(), + 'az': lang_AZ.Num2Word_AZ(), + 'be': lang_BE.Num2Word_BE(), + 'bn': lang_BN.Num2Word_BN(), + 'ca': lang_CA.Num2Word_CA(), + 'ce': lang_CE.Num2Word_CE(), + 'cs': lang_CS.Num2Word_CS(), + 'cy': lang_CY.Num2Word_CY(), + 'da': lang_DA.Num2Word_DA(), + 'de': lang_DE.Num2Word_DE(), + 'en': lang_EN.Num2Word_EN(), + 'en_IN': lang_EN_IN.Num2Word_EN_IN(), + 'en_NG': lang_EN_NG.Num2Word_EN_NG(), + 'eo': lang_EO.Num2Word_EO(), + 'es': lang_ES.Num2Word_ES(), + 'es_CO': lang_ES_CO.Num2Word_ES_CO(), + 'es_CR': lang_ES_CR.Num2Word_ES_CR(), + 'es_GT': lang_ES_GT.Num2Word_ES_GT(), + 'es_NI': lang_ES_NI.Num2Word_ES_NI(), + 'es_VE': lang_ES_VE.Num2Word_ES_VE(), + 'fa': lang_FA.Num2Word_FA(), + 'fi': lang_FI.Num2Word_FI(), + 'fr': lang_FR.Num2Word_FR(), + 'fr_BE': lang_FR_BE.Num2Word_FR_BE(), + 'fr_CH': lang_FR_CH.Num2Word_FR_CH(), + 'fr_DZ': lang_FR_DZ.Num2Word_FR_DZ(), + 'he': lang_HE.Num2Word_HE(), + 'hi': lang_HI.Num2Word_HI(), + 'hu': lang_HU.Num2Word_HU(), + 'hy': lang_HY.Num2Word_HY(), + 'id': lang_ID.Num2Word_ID(), + 'is': lang_IS.Num2Word_IS(), + 'it': lang_IT.Num2Word_IT(), + 'ja': lang_JA.Num2Word_JA(), + 'kn': lang_KN.Num2Word_KN(), + 'ko': lang_KO.Num2Word_KO(), + 'kz': lang_KZ.Num2Word_KZ(), + 'lt': lang_LT.Num2Word_LT(), + 'lv': lang_LV.Num2Word_LV(), + 'mn': lang_MN.Num2Word_MN(), + 'nl': lang_NL.Num2Word_NL(), + 'no': lang_NO.Num2Word_NO(), + 'pl': lang_PL.Num2Word_PL(), + 'pt': lang_PT.Num2Word_PT(), + 'pt_BR': lang_PT_BR.Num2Word_PT_BR(), + 'ro': lang_RO.Num2Word_RO(), + 'ru': lang_RU.Num2Word_RU(), + 'sk': lang_SK.Num2Word_SK(), + 'sl': lang_SL.Num2Word_SL(), + 'sr': lang_SR.Num2Word_SR(), + 'sv': lang_SV.Num2Word_SV(), + 'te': lang_TE.Num2Word_TE(), + 'tet': lang_TET.Num2Word_TET(), + 'tg': lang_TG.Num2Word_TG(), + 'th': lang_TH.Num2Word_TH(), + 'tr': lang_TR.Num2Word_TR(), + 'uk': lang_UK.Num2Word_UK(), + 'vi': lang_VI.Num2Word_VI(), + 'zh': lang_ZH.Num2Word_ZH(), + 'zh_CN': lang_ZH_CN.Num2Word_ZH_CN(), + 'zh_HK': lang_ZH_HK.Num2Word_ZH_HK(), + 'zh_TW': lang_ZH_TW.Num2Word_ZH_TW(), +} + +CONVERTES_TYPES = ['cardinal', 'ordinal', 'ordinal_num', 'year', 'currency'] + + +def num2words(number, ordinal=False, lang='en', to='cardinal', **kwargs): + # We try the full language first + if lang not in CONVERTER_CLASSES: + # ... and then try only the first 2 letters + lang = lang[:2] + if lang not in CONVERTER_CLASSES: + raise NotImplementedError() + converter = CONVERTER_CLASSES[lang] + + if isinstance(number, str): + number = converter.str_to_number(number) + + # backwards compatible + if ordinal: + to = 'ordinal' + + if to not in CONVERTES_TYPES: + raise NotImplementedError() + + return getattr(converter, 'to_{}'.format(to))(number, **kwargs) diff --git a/ext/py/num2words/num2words/base.py b/ext/py/num2words/num2words/base.py new file mode 100644 index 0000000..fb30b4e --- /dev/null +++ b/ext/py/num2words/num2words/base.py @@ -0,0 +1,328 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import math +from collections import OrderedDict +from decimal import Decimal + +from .compat import to_s +from .currency import parse_currency_parts, prefix_currency + + +class Num2Word_Base(object): + CURRENCY_FORMS = {} + CURRENCY_ADJECTIVES = {} + + def __init__(self): + self.is_title = False + self.precision = 2 + self.exclude_title = [] + self.negword = "(-) " + self.pointword = "(.)" + self.errmsg_nonnum = "type(%s) not in [long, int, float]" + self.errmsg_floatord = "Cannot treat float %s as ordinal." + self.errmsg_negord = "Cannot treat negative num %s as ordinal." + self.errmsg_toobig = "abs(%s) must be less than %s." + + self.setup() + + # uses cards + if any(hasattr(self, field) for field in + ['high_numwords', 'mid_numwords', 'low_numwords']): + self.cards = OrderedDict() + self.set_numwords() + self.MAXVAL = 1000 * list(self.cards.keys())[0] + + def set_numwords(self): + self.set_high_numwords(self.high_numwords) + self.set_mid_numwords(self.mid_numwords) + self.set_low_numwords(self.low_numwords) + + def set_high_numwords(self, *args): + raise NotImplementedError + + def set_mid_numwords(self, mid): + for key, val in mid: + self.cards[key] = val + + def set_low_numwords(self, numwords): + for word, n in zip(numwords, range(len(numwords) - 1, -1, -1)): + self.cards[n] = word + + def splitnum(self, value): + for elem in self.cards: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((self.cards[1], 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [(div * self.cards[elem], div*elem)] + out.append(self.splitnum(div)) + + out.append((self.cards[elem], elem)) + + if mod: + out.append(self.splitnum(mod)) + + return out + + def parse_minus(self, num_str): + """Detach minus and return it as symbol with new num_str.""" + if num_str.startswith('-'): + # Extra spacing to compensate if there is no minus. + return '%s ' % self.negword.strip(), num_str[1:] + return '', num_str + + def str_to_number(self, value): + return Decimal(value) + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.negword.strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def float2tuple(self, value): + pre = int(value) + + # Simple way of finding decimal places to update the precision + self.precision = abs(Decimal(str(value)).as_tuple().exponent) + + post = abs(value - pre) * 10**self.precision + if abs(round(post) - post) < 0.01: + # We generally floor all values beyond our precision (rather than + # rounding), but in cases where we have something like 1.239999999, + # which is probably due to python's handling of floats, we actually + # want to consider it as 1.24 instead of 1.23 + post = int(round(post)) + else: + post = int(math.floor(post)) + + return pre, post + + def to_cardinal_float(self, value): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre)] + if value < 0 and pre == 0: + out = [self.negword.strip()] + out + + if self.precision: + out.append(self.title(self.pointword)) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s(self.to_cardinal(curr))) + + return " ".join(out) + + def merge(self, curr, next): + raise NotImplementedError + + def clean(self, val): + out = val + while len(val) != 1: + out = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + out.append(self.merge(left, right)) + if val[2:]: + out.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + out.append(elem[0]) + else: + out.append(self.clean(elem)) + else: + out.append(elem) + val = out + return out[0] + + def title(self, value): + if self.is_title: + out = [] + value = value.split() + for word in value: + if word in self.exclude_title: + out.append(word) + else: + out.append(word[0].upper() + word[1:]) + value = " ".join(out) + return value + + def verify_ordinal(self, value): + if not value == int(value): + raise TypeError(self.errmsg_floatord % value) + if not abs(value) == value: + raise TypeError(self.errmsg_negord % value) + + def to_ordinal(self, value): + return self.to_cardinal(value) + + def to_ordinal_num(self, value): + return value + + # Trivial version + def inflect(self, value, text): + text = text.split("/") + if value == 1: + return text[0] + return "".join(text) + + # //CHECK: generalise? Any others like pounds/shillings/pence? + def to_splitnum(self, val, hightxt="", lowtxt="", jointxt="", + divisor=100, longval=True, cents=True): + out = [] + + if isinstance(val, float): + high, low = self.float2tuple(val) + else: + try: + high, low = val + except TypeError: + high, low = divmod(val, divisor) + + if high: + hightxt = self.title(self.inflect(high, hightxt)) + out.append(self.to_cardinal(high)) + if low: + if longval: + if hightxt: + out.append(hightxt) + if jointxt: + out.append(self.title(jointxt)) + elif hightxt: + out.append(hightxt) + + if low: + if cents: + out.append(self.to_cardinal(low)) + else: + out.append("%02d" % low) + if lowtxt and longval: + out.append(self.title(self.inflect(low, lowtxt))) + + return " ".join(out) + + def to_year(self, value, **kwargs): + return self.to_cardinal(value) + + def pluralize(self, n, forms): + """ + Should resolve gettext form: + http://docs.translatehouse.org/projects/localization-guide/en/latest/l10n/pluralforms.html + """ + raise NotImplementedError + + def _money_verbose(self, number, currency): + return self.to_cardinal(number) + + def _cents_verbose(self, number, currency): + return self.to_cardinal(number) + + def _cents_terse(self, number, currency): + return "%02d" % number + + def to_currency(self, val, currency='EUR', cents=True, separator=',', + adjective=False): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + Handles whole numbers and decimal numbers differently + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + + # Explicitly check if input has decimal point or non-zero cents + has_decimal = isinstance(val, float) or str(val).find('.') != -1 + + # Only include cents if: + # 1. Input has decimal point OR + # 2. Cents are non-zero + if has_decimal or right > 0: + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + return u'%s%s %s%s %s %s' % ( + minus_str, + money_str, + self.pluralize(left, cr1), + separator, + cents_str, + self.pluralize(right, cr2) + ) + else: + return u'%s%s %s' % ( + minus_str, + money_str, + self.pluralize(left, cr1) + ) + + def setup(self): + pass diff --git a/ext/py/num2words/num2words/compat.py b/ext/py/num2words/num2words/compat.py new file mode 100644 index 0000000..321cd2e --- /dev/null +++ b/ext/py/num2words/num2words/compat.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +try: + strtype = basestring +except NameError: + strtype = str + + +def to_s(val): + try: + return unicode(val) + except NameError: + return str(val) diff --git a/ext/py/num2words/num2words/currency.py b/ext/py/num2words/num2words/currency.py new file mode 100644 index 0000000..4982251 --- /dev/null +++ b/ext/py/num2words/num2words/currency.py @@ -0,0 +1,50 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division + +from decimal import ROUND_HALF_UP, Decimal + + +def parse_currency_parts(value, is_int_with_cents=True): + if isinstance(value, int): + if is_int_with_cents: + # assume cents if value is integer + negative = value < 0 + value = abs(value) + integer, cents = divmod(value, 100) + else: + negative = value < 0 + integer, cents = abs(value), 0 + + else: + value = Decimal(value) + value = value.quantize( + Decimal('.01'), + rounding=ROUND_HALF_UP + ) + negative = value < 0 + value = abs(value) + integer, fraction = divmod(value, 1) + integer = int(integer) + cents = int(fraction * 100) + + return integer, cents, negative + + +def prefix_currency(prefix, base): + return tuple("%s %s" % (prefix, i) for i in base) diff --git a/ext/py/num2words/num2words/lang_AM.py b/ext/py/num2words/num2words/lang_AM.py new file mode 100644 index 0000000..77922db --- /dev/null +++ b/ext/py/num2words/num2words/lang_AM.py @@ -0,0 +1,129 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_AM(lang_EU.Num2Word_EU): + CURRENCY_FORMS = {'ETB': (('ብር', 'ብር'), ('ሳንቲም', 'ሳንቲም'))} + + GIGA_SUFFIX = 'ቢሊዮን' + MEGA_SUFFIX = 'ሚሊዮን' + + def set_high_numwords(self, high): + cap = 3 * (len(high) + 1) + + for word, n in zip(high, range(cap, 5, -3)): + if n == 9: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + else: + self.cards[10 ** n] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_AM, self).setup() + + self.negword = 'አሉታዊ ' + self.pointword = 'ነጥብ' + self.exclude_title = ['እና', 'ነጥብ', 'አሉታዊ'] + + self.mid_numwords = [(1000, 'ሺህ'), (100, 'መቶ'), (90, 'ዘጠና'), + (80, 'ሰማኒያ'), (70, 'ሰባ'), (60, 'ስድሳ'), + (50, 'አምሳ'), (40, 'አርባ'), (30, 'ሠላሳ')] + self.low_numwords = ['ሃያ', 'አሥራ ዘጠኝ', 'አሥራ ስምንት', 'አሥራ ሰባት', + 'አስራ ስድስት', 'አሥራ አምስት', 'አሥራ አራት', 'አሥራ ሦስት', + 'አሥራ ሁለት', 'አሥራ አንድ', 'አሥር', 'ዘጠኝ', 'ስምንት', + 'ሰባት', 'ስድስት', 'አምስት', 'አራት', 'ሦስት', 'ሁለት', + 'አንድ', 'ዜሮ'] + self.ords = {'አንድ': 'አንደኛ', + 'ሁለት': 'ሁለተኛ', + 'ሦስት': 'ሦስተኛ', + 'አራት': 'አራተኛ', + 'አምስት': 'አምስተኛ', + 'ስድስት': 'ስድስተኛ', + 'ሰባት': 'ሰባተኛ', + 'ስምንት': 'ስምንተኛ', + 'ዘጠኝ': 'ዘጠነኛ', + 'አሥር': 'አሥረኛ', + 'አሥራ አንድ': 'አሥራ አንደኛ', + 'አሥራ ሁለት': 'አሥራ ሁለተኛ', + 'አሥራ ሦስት': 'አሥራ ሦስተኛ', + 'አሥራ አራት': 'አሥራ አራተኛ', + 'አሥራ አምስት': 'አሥራ አምስተኛ', + 'አሥራ ስድስት': 'አሥራ ስድስተኛ', + 'አሥራ ሰባት': 'አሥራ ሰባተኛ', + 'አሥራ ስምንት': 'አሥራ ስምንተኛ', + 'አሥራ ዘጠኝ': 'አሥራ ዘጠነኛ'} + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = '' + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + if value == 100: + return self.title(out + 'መቶ') + else: + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return rtext, rnum + elif 100 > lnum > rnum: + return '%s %s' % (ltext, rtext), lnum + rnum + elif lnum >= 100 > rnum: + return '%s %s' % (ltext, rtext), lnum + rnum + elif rnum > lnum: + return '%s %s' % (ltext, rtext), lnum * rnum + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(' ') + lastwords = outwords[-1].split('-') + lastword = lastwords[-1].lower() + try: + lastword = self.ords[lastword] + except KeyError: + lastword += 'ኛ' + lastwords[-1] = self.title(lastword) + outwords[-1] = ' '.join(lastwords) + return ' '.join(outwords) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return '%s%s' % (value, self.to_ordinal(value)[-1:]) + + def to_currency(self, val, currency='ብር', cents=True, separator=' ከ', + adjective=True): + result = super(Num2Word_AM, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt='መቶ', longval=longval) diff --git a/ext/py/num2words/num2words/lang_AR.py b/ext/py/num2words/num2words/lang_AR.py new file mode 100644 index 0000000..7813d3a --- /dev/null +++ b/ext/py/num2words/num2words/lang_AR.py @@ -0,0 +1,415 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2018, Abdullah Alhazmy, Alhazmy13. All Rights Reserved. + + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +import decimal +import math +import re +from decimal import Decimal +from math import floor + +from .base import Num2Word_Base + +CURRENCY_SR = [("ريال", "ريالان", "ريالات", "ريالاً"), + ("هللة", "هللتان", "هللات", "هللة")] +CURRENCY_EGP = [("جنيه", "جنيهان", "جنيهات", "جنيهاً"), + ("قرش", "قرشان", "قروش", "قرش")] +CURRENCY_KWD = [("دينار", "ديناران", "دينارات", "ديناراً"), + ("فلس", "فلسان", "فلس", "فلس")] +CURRENCY_TND = [("دينار", "ديناران", "دينارات", "ديناراً"), + ("مليماً", "ميلمان", "مليمات", "مليم")] + +ARABIC_ONES = [ + "", "واحد", "اثنان", "ثلاثة", "أربعة", "خمسة", "ستة", "سبعة", "ثمانية", + "تسعة", + "عشرة", "أحد عشر", "اثنا عشر", "ثلاثة عشر", "أربعة عشر", "خمسة عشر", + "ستة عشر", "سبعة عشر", "ثمانية عشر", + "تسعة عشر" +] + + +class Num2Word_AR(Num2Word_Base): + errmsg_toobig = "abs(%s) must be less than %s." + MAXVAL = 10**51 + + def __init__(self): + super().__init__() + + self.number = 0 + self.arabicPrefixText = "" + self.arabicSuffixText = "" + self.integer_value = 0 + self._decimalValue = "" + self.partPrecision = 2 + self.currency_unit = CURRENCY_SR[0] + self.currency_subunit = CURRENCY_SR[1] + self.isCurrencyPartNameFeminine = True + self.isCurrencyNameFeminine = False + self.separator = 'و' + + self.arabicOnes = ARABIC_ONES + self.arabicFeminineOnes = [ + "", "إحدى", "اثنتان", "ثلاث", "أربع", "خمس", "ست", "سبع", "ثمان", + "تسع", + "عشر", "إحدى عشرة", "اثنتا عشرة", "ثلاث عشرة", "أربع عشرة", + "خمس عشرة", "ست عشرة", "سبع عشرة", "ثماني عشرة", + "تسع عشرة" + ] + self.arabicOrdinal = [ + "", "اول", "ثاني", "ثالث", "رابع", "خامس", "سادس", "سابع", "ثامن", + "تاسع", "عاشر", "حادي عشر", "ثاني عشر", "ثالث عشر", "رابع عشر", + "خامس عشر", "سادس عشر", "سابع عشر", "ثامن عشر", "تاسع عشر" + ] + self.arabicTens = [ + "عشرون", "ثلاثون", "أربعون", "خمسون", "ستون", "سبعون", "ثمانون", + "تسعون" + ] + self.arabicHundreds = [ + "", "مائة", "مئتان", "ثلاثمائة", "أربعمائة", "خمسمائة", "ستمائة", + "سبعمائة", "ثمانمائة", "تسعمائة" + ] + + self.arabicAppendedTwos = [ + "مئتا", "ألفا", "مليونا", "مليارا", "تريليونا", "كوادريليونا", + "كوينتليونا", "سكستيليونا", "سبتيليونا", "أوكتيليونا ", + "نونيليونا", "ديسيليونا", "أندسيليونا", "دوديسيليونا", + "تريديسيليونا", "كوادريسيليونا", "كوينتينيليونا" + ] + self.arabicTwos = [ + "مئتان", "ألفان", "مليونان", "ملياران", "تريليونان", + "كوادريليونان", "كوينتليونان", "سكستيليونان", "سبتيليونان", + "أوكتيليونان ", "نونيليونان ", "ديسيليونان", "أندسيليونان", + "دوديسيليونان", "تريديسيليونان", "كوادريسيليونان", "كوينتينيليونان" + ] + self.arabicGroup = [ + "مائة", "ألف", "مليون", "مليار", "تريليون", "كوادريليون", + "كوينتليون", "سكستيليون", "سبتيليون", "أوكتيليون", "نونيليون", + "ديسيليون", "أندسيليون", "دوديسيليون", "تريديسيليون", + "كوادريسيليون", "كوينتينيليون" + ] + self.arabicAppendedGroup = [ + "", "ألفاً", "مليوناً", "ملياراً", "تريليوناً", "كوادريليوناً", + "كوينتليوناً", "سكستيليوناً", "سبتيليوناً", "أوكتيليوناً", + "نونيليوناً", "ديسيليوناً", "أندسيليوناً", "دوديسيليوناً", + "تريديسيليوناً", "كوادريسيليوناً", "كوينتينيليوناً" + ] + self.arabicPluralGroups = [ + "", "آلاف", "ملايين", "مليارات", "تريليونات", "كوادريليونات", + "كوينتليونات", "سكستيليونات", "سبتيليونات", "أوكتيليونات", + "نونيليونات", "ديسيليونات", "أندسيليونات", "دوديسيليونات", + "تريديسيليونات", "كوادريسيليونات", "كوينتينيليونات" + ] + assert len(self.arabicAppendedGroup) == len(self.arabicGroup) + assert len(self.arabicPluralGroups) == len(self.arabicGroup) + assert len(self.arabicAppendedTwos) == len(self.arabicTwos) + + def number_to_arabic(self, arabic_prefix_text, arabic_suffix_text): + self.arabicPrefixText = arabic_prefix_text + self.arabicSuffixText = arabic_suffix_text + self.extract_integer_and_decimal_parts() + + def extract_integer_and_decimal_parts(self): + splits = re.split('\\.', str(self.number)) + + self.integer_value = int(splits[0]) + if len(splits) > 1: + self._decimalValue = int(self.decimal_value(splits[1])) + else: + self._decimalValue = 0 + + def decimal_value(self, decimal_part): + + if self.partPrecision is not len(decimal_part): + decimal_part_length = len(decimal_part) + + decimal_part_builder = decimal_part + for i in range(0, self.partPrecision - decimal_part_length): + decimal_part_builder += '0' + decimal_part = decimal_part_builder + + if len(decimal_part) <= self.partPrecision: + dec = len(decimal_part) + else: + dec = self.partPrecision + result = decimal_part[0: dec] + else: + result = decimal_part + + # The following is useless (never happens) + # for i in range(len(result), self.partPrecision): + # result += '0' + return result + + def digit_feminine_status(self, digit, group_level): + if group_level == -1: + if self.isCurrencyPartNameFeminine: + return self.arabicFeminineOnes[int(digit)] + else: + # Note: this never happens + return self.arabicOnes[int(digit)] + elif group_level == 0: + if self.isCurrencyNameFeminine: + return self.arabicFeminineOnes[int(digit)] + else: + return self.arabicOnes[int(digit)] + else: + return self.arabicOnes[int(digit)] + + def process_arabic_group(self, group_number, group_level, + remaining_number): + tens = Decimal(group_number) % Decimal(100) + hundreds = Decimal(group_number) / Decimal(100) + ret_val = "" + + if int(hundreds) > 0: + if tens == 0 and int(hundreds) == 2: + ret_val = "{}".format(self.arabicAppendedTwos[0]) + else: + ret_val = "{}".format(self.arabicHundreds[int(hundreds)]) + if ret_val != "" and tens != 0: + ret_val += " و " + + if tens > 0: + if tens < 20: + # if int(group_level) >= len(self.arabicTwos): + # raise OverflowError(self.errmsg_toobig % + # (self.number, self.MAXVAL)) + assert int(group_level) < len(self.arabicTwos) + if tens == 2 and int(hundreds) == 0 and group_level > 0: + pow = int(math.log10(self.integer_value)) + if self.integer_value > 10 and pow % 3 == 0 and \ + self.integer_value == 2 * (10 ** pow): + ret_val = "{}".format( + self.arabicAppendedTwos[int(group_level)]) + else: + ret_val = "{}".format( + self.arabicTwos[int(group_level)]) + else: + + if tens == 1 and group_level > 0 and hundreds == 0: + # Note: this never happens + # (hundreds == 0 only if group_number is 0) + ret_val += "" + elif (tens == 1 or tens == 2) and ( + group_level == 0 or group_level == -1) and \ + hundreds == 0 and remaining_number == 0: + # Note: this never happens (idem) + ret_val += "" + elif tens == 1 and group_level > 0: + ret_val += self.arabicGroup[int(group_level)] + else: + ret_val += self.digit_feminine_status(int(tens), + group_level) + else: + ones = tens % 10 + tens = (tens / 10) - 2 + if ones > 0: + ret_val += self.digit_feminine_status(ones, group_level) + if ret_val != "" and ones != 0: + ret_val += " و " + + ret_val += self.arabicTens[int(tens)] + + return ret_val + + # We use this instead of built-in `abs` function, + # because `abs` suffers from loss of precision for big numbers + def abs(self, number): + return number if number >= 0 else -number + + # We use this instead of `"{:09d}".format(number)`, + # because the string conversion suffers from loss of + # precision for big numbers + def to_str(self, number): + integer = int(number) + if integer == number: + return str(integer) + decimal = round((number - integer) * 10**9) + return str(integer) + "." + "{:09d}".format(decimal).rstrip("0") + + def convert(self, value): + self.number = self.to_str(value) + self.number_to_arabic(self.arabicPrefixText, self.arabicSuffixText) + return self.convert_to_arabic() + + def convert_to_arabic(self): + temp_number = Decimal(self.number) + + if temp_number == Decimal(0): + return "صفر" + + decimal_string = self.process_arabic_group(self._decimalValue, + -1, + Decimal(0)) + ret_val = "" + group = 0 + + while temp_number > Decimal(0): + + temp_number_dec = Decimal(str(temp_number)) + try: + number_to_process = int(temp_number_dec % Decimal(str(1000))) + except decimal.InvalidOperation: + decimal.getcontext().prec = len( + temp_number_dec.as_tuple().digits + ) + number_to_process = int(temp_number_dec % Decimal(str(1000))) + + temp_number = int(temp_number_dec / Decimal(1000)) + + group_description = \ + self.process_arabic_group(number_to_process, + group, + Decimal(floor(temp_number))) + if group_description != '': + if group > 0: + if ret_val != "": + ret_val = "{}و {}".format("", ret_val) + if number_to_process != 2 and number_to_process != 1: + # if group >= len(self.arabicGroup): + # raise OverflowError(self.errmsg_toobig % + # (self.number, self.MAXVAL) + # ) + assert group < len(self.arabicGroup) + if number_to_process % 100 != 1: + if 3 <= number_to_process <= 10: + ret_val = "{} {}".format( + self.arabicPluralGroups[group], ret_val) + else: + if ret_val != "": + ret_val = "{} {}".format( + self.arabicAppendedGroup[group], + ret_val) + else: + ret_val = "{} {}".format( + self.arabicGroup[group], ret_val) + + else: + ret_val = "{} {}".format(self.arabicGroup[group], + ret_val) + ret_val = "{} {}".format(group_description, ret_val) + group += 1 + formatted_number = "" + if self.arabicPrefixText != "": + formatted_number += "{} ".format(self.arabicPrefixText) + formatted_number += ret_val + if self.integer_value != 0: + remaining100 = int(self.integer_value % 100) + + if remaining100 == 0: + formatted_number += self.currency_unit[0] + elif remaining100 == 1: + formatted_number += self.currency_unit[0] + elif remaining100 == 2: + if self.integer_value == 2: + formatted_number += self.currency_unit[1] + else: + formatted_number += self.currency_unit[0] + elif 3 <= remaining100 <= 10: + formatted_number += self.currency_unit[2] + elif 11 <= remaining100 <= 99: + formatted_number += self.currency_unit[3] + if self._decimalValue != 0: + formatted_number += " {} ".format(self.separator) + formatted_number += decimal_string + + if self._decimalValue != 0: + formatted_number += " " + remaining100 = int(self._decimalValue % 100) + + if remaining100 == 0: + formatted_number += self.currency_subunit[0] + elif remaining100 == 1: + formatted_number += self.currency_subunit[0] + elif remaining100 == 2: + formatted_number += self.currency_subunit[1] + elif 3 <= remaining100 <= 10: + formatted_number += self.currency_subunit[2] + elif 11 <= remaining100 <= 99: + formatted_number += self.currency_subunit[3] + + if self.arabicSuffixText != "": + formatted_number += " {}".format(self.arabicSuffixText) + + return formatted_number + + def validate_number(self, number): + if number >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (number, self.MAXVAL)) + return number + + def set_currency_prefer(self, currency): + if currency == 'TND': + self.currency_unit = CURRENCY_TND[0] + self.currency_subunit = CURRENCY_TND[1] + self.partPrecision = 3 + elif currency == 'EGP': + self.currency_unit = CURRENCY_EGP[0] + self.currency_subunit = CURRENCY_EGP[1] + self.partPrecision = 2 + elif currency == 'KWD': + self.currency_unit = CURRENCY_KWD[0] + self.currency_subunit = CURRENCY_KWD[1] + self.partPrecision = 2 + else: + self.currency_unit = CURRENCY_SR[0] + self.currency_subunit = CURRENCY_SR[1] + self.partPrecision = 2 + + def to_currency(self, value, currency='SR', prefix='', suffix=''): + self.set_currency_prefer(currency) + self.isCurrencyNameFeminine = False + self.separator = "و" + self.arabicOnes = ARABIC_ONES + self.arabicPrefixText = prefix + self.arabicSuffixText = suffix + return self.convert(value=value) + + def to_ordinal(self, number, prefix=''): + if number <= 19: + return "{}".format(self.arabicOrdinal[number]) + if number < 100: + self.isCurrencyNameFeminine = True + else: + self.isCurrencyNameFeminine = False + self.currency_subunit = ('', '', '', '') + self.currency_unit = ('', '', '', '') + self.arabicPrefixText = prefix + self.arabicSuffixText = "" + return "{}".format(self.convert(self.abs(number)).strip()) + + def to_year(self, value): + value = self.validate_number(value) + return self.to_cardinal(value) + + def to_ordinal_num(self, value): + return self.to_ordinal(value).strip() + + def to_cardinal(self, number): + self.isCurrencyNameFeminine = False + number = self.validate_number(number) + minus = '' + if number < 0: + minus = 'سالب ' + self.separator = ',' + self.currency_subunit = ('', '', '', '') + self.currency_unit = ('', '', '', '') + self.arabicPrefixText = "" + self.arabicSuffixText = "" + self.arabicOnes = ARABIC_ONES + return minus + self.convert(value=self.abs(number)).strip() diff --git a/ext/py/num2words/num2words/lang_AZ.py b/ext/py/num2words/num2words/lang_AZ.py new file mode 100644 index 0000000..e225bfb --- /dev/null +++ b/ext/py/num2words/num2words/lang_AZ.py @@ -0,0 +1,204 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_AZ(Num2Word_Base): + DIGITS = { + 0: u"sıfır", + 1: u"bir", + 2: u"iki", + 3: u"üç", + 4: u"dörd", + 5: u"beş", + 6: u"altı", + 7: u"yeddi", + 8: u"səkkiz", + 9: u"doqquz", + } + + DECIMALS = { + 1: u"on", + 2: u"iyirmi", + 3: u"otuz", + 4: u"qırx", + 5: u"əlli", + 6: u"altmış", + 7: u"yetmiş", + 8: u"səksən", + 9: u"doxsan", + } + + POWERS_OF_TEN = { + 2: u"yüz", + 3: u"min", + 6: u"milyon", + 9: u"milyard", + 12: u"trilyon", + 15: u"katrilyon", + 18: u"kentilyon", + 21: u"sekstilyon", + 24: u"septilyon", + 27: u"oktilyon", + 30: u"nonilyon", + 33: u"desilyon", + 36: u"undesilyon", + 39: u"dodesilyon", + 42: u"tredesilyon", + 45: u"katordesilyon", + 48: u"kendesilyon", + 51: u"seksdesilyon", + 54: u"septendesilyon", + 57: u"oktodesilyon", + 60: u"novemdesilyon", + 63: u"vigintilyon", + } + + VOWELS = u"aıoueəiöü" + VOWEL_TO_CARDINAL_SUFFIX_MAP = { + **dict.fromkeys(["a", "ı"], "ıncı"), + **dict.fromkeys(["e", "ə", "i"], "inci"), + **dict.fromkeys(["o", "u"], "uncu"), + **dict.fromkeys(["ö", "ü"], "üncü"), + } + + VOWEL_TO_CARDINAL_NUM_SUFFIX_MAP = { + **dict.fromkeys(["a", "ı"], "cı"), + **dict.fromkeys(["e", "ə", "i"], "ci"), + **dict.fromkeys(["o", "u"], "cu"), + **dict.fromkeys(["ö", "ü"], "cü"), + } + + CURRENCY_INTEGRAL = ('manat', 'manat') + CURRENCY_FRACTION = ('qəpik', 'qəpik') + CURRENCY_FORMS = {'AZN': (CURRENCY_INTEGRAL, CURRENCY_FRACTION)} + + def setup(self): + super().setup() + + self.negword = u"mənfi" + self.pointword = u"nöqtə" + + def to_cardinal(self, value): + value_str = str(value) + parts = value_str.split(".") + integral_part = parts[0] + fraction_part = parts[1] if len(parts) > 1 else "" + + if integral_part.startswith("-"): + integral_part = integral_part[1:] # ignore minus sign here + + integral_part_in_words = self.int_to_word(integral_part) + fraction_part_in_words = "" if not fraction_part else self.int_to_word( + fraction_part, leading_zeros=True) + + value_in_words = integral_part_in_words + if fraction_part: + value_in_words = " ".join( + [ + integral_part_in_words, + self.pointword, + fraction_part_in_words + ] + ) + + if value < 0: + value_in_words = " ".join([self.negword, value_in_words]) + + return value_in_words + + def to_ordinal(self, value): + assert int(value) == value + + cardinal = self.to_cardinal(value) + last_vowel = self._last_vowel(cardinal) + assert last_vowel is not None + suffix = self.VOWEL_TO_CARDINAL_SUFFIX_MAP[last_vowel] + + if cardinal.endswith(tuple(self.VOWELS)): + cardinal = cardinal[:-1] + + ordinal = "".join([cardinal, suffix]) + + return ordinal + + def to_ordinal_num(self, value): + assert int(value) == value + + cardinal = self.to_cardinal(value) + last_vowel = self._last_vowel(cardinal) + assert last_vowel is not None + suffix = self.VOWEL_TO_CARDINAL_NUM_SUFFIX_MAP[last_vowel] + ordinal_num = "-".join([str(value), suffix]) + + return ordinal_num + + def to_year(self, value): + assert int(value) == value + + year = self.to_cardinal(abs(value)) + if value < 0: + year = " ".join(["e.ə.", year]) + + return year + + def pluralize(self, n, forms): + form = 0 if n == 1 else 1 + return forms[form] + + def int_to_word(self, num_str, leading_zeros=False): + words = [] + reversed_str = list(reversed(num_str)) + + for index, digit in enumerate(reversed_str): + digit_int = int(digit) + # calculate remainder after dividing index by 3 + # because number is parsed by three digit chunks + remainder_to_3 = index % 3 + if remainder_to_3 == 0: + if index > 0: + if set(reversed_str[index:index+3]) != {'0'}: + words.insert(0, self.POWERS_OF_TEN[index]) + if digit_int > 0: + # we say "min" not "bir min" + if not (digit_int == 1 and index == 3): + words.insert(0, self.DIGITS[digit_int]) + elif remainder_to_3 == 1: + if digit_int != 0: + words.insert(0, self.DECIMALS[digit_int]) + else: # remainder is 2 + if digit_int > 0: + words.insert(0, self.POWERS_OF_TEN[2]) # "yüz" + if digit_int > 1: + words.insert(0, self.DIGITS[digit_int]) + + if num_str == '0': + words.append(self.DIGITS[0]) + + if leading_zeros: + zeros_count = len(num_str) - len(str(int(num_str))) + words[:0] = zeros_count * [self.DIGITS[0]] + + return " ".join(words) + + def _last_vowel(self, value): + for char in value[::-1]: + if char in self.VOWELS: + return char diff --git a/ext/py/num2words/num2words/lang_BE.py b/ext/py/num2words/num2words/lang_BE.py new file mode 100644 index 0000000..c41d6e4 --- /dev/null +++ b/ext/py/num2words/num2words/lang_BE.py @@ -0,0 +1,351 @@ +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2022, Sergei Ruzki. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = "нуль" + +ONES_FEMININE = { + 1: "адна", + 2: "дзве", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", +} + +ONES = { + "f": { + 1: "адна", + 2: "дзве", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, + "m": { + 1: "адзін", + 2: "два", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, + "n": { + 1: "адно", + 2: "два", + 3: "тры", + 4: "чатыры", + 5: "пяць", + 6: "шэсць", + 7: "сем", + 8: "восем", + 9: "дзевяць", + }, +} + +TENS = { + 0: "дзесяць", + 1: "адзінаццаць", + 2: "дванаццаць", + 3: "трынаццаць", + 4: "чатырнаццаць", + 5: "пятнаццаць", + 6: "шаснаццаць", + 7: "сямнаццаць", + 8: "васямнаццаць", + 9: "дзевятнаццаць", +} + +TWENTIES = { + 2: "дваццаць", + 3: "трыццаць", + 4: "сорак", + 5: "пяцьдзясят", + 6: "шэсцьдзясят", + 7: "семдзесят", + 8: "восемдзесят", + 9: "дзевяноста", +} + +TWENTIES_ORD = ( + ("дваццаць", "дваццаці"), + ("трыццаць", "трыццаці"), + ("сорак", "сарака"), + ("пяцьдзясят", "пяцідзясяці"), + ("шэсцьдзясят", "шaсцідзясяці"), + ("семдзесят", "сямідзесяці"), + ("восемдзесят", "васьмідзесяці"), + ("дзевяноста", "дзевяноста"), +) + +HUNDREDS = { + 1: "сто", + 2: "дзвесце", + 3: "трыста", + 4: "чатырыста", + 5: "пяцьсот", + 6: "шэсцьсот", + 7: "семсот", + 8: "восемсот", + 9: "дзевяцьсот", +} + +THOUSANDS = { + 1: ("тысяча", "тысячы", "тысяч"), # 10^3 + 2: ("мільён", "мільёны", "мільёнаў"), # 10^6 + 3: ("мільярд", "мільярды", "мільярдаў"), # 10^9 + 4: ("трыльён", "трыльёны", "трыльёнаў"), # 10^12 + 5: ("квадрыльён", "квадрыльёны", "квадрыльёнаў"), # 10^15 + 6: ("квінтыльён", "квінтыльёны", "квінтыльёнаў"), # 10^18 + 7: ("секстыльён", "секстыльёны", "секстыльёнаў"), # 10^21 + 8: ("сэптыльён", "сэптыльёны", "сэптыльёнаў"), # 10^24 + 9: ("актыльён", "актыльёны", "актыльёнаў"), # 10^27 + 10: ("нанільён", "нанільёны", "нанільёнаў"), # 10^30 +} + + +class Num2Word_BE(Num2Word_Base): + CURRENCY_FORMS = { + "RUB": ( + ("расійскі рубель", "расійскія рублі", "расійскіх рублёў"), + ("капейка", "капейкі", "капеек"), + ), + "EUR": (("еўра", "еўра", "еўра"), ("цэнт", "цэнты", "цэнтаў")), + "USD": (("долар", "долары", "долараў"), ("цэнт", "цэнты", "цэнтаў")), + "UAH": ( + ("грыўна", "грыўны", "грыўнаў"), + ("капейка", "капейкі", "капеек"), + ), + "KZT": (("тэнге", "тэнге", "тэнге"), ("тыйін", "тыйіны", "тыйінаў")), + "BYN": ( + ("беларускі рубель", "беларускія рублі", "беларускіх рублёў"), + ("капейка", "капейкі", "капеек"), + ), + "UZS": (("сум", "сумы", "сумаў"), ("тыйін", "тыйіны", "тыйінаў")), + "PLN": (("злоты", "злотых", "злотых"), ("грош", "грошы", "грошаў")), + } + + def setup(self): + self.negword = "мінус" + self.pointword = "коска" + self.ords = { + "нуль": "нулявы", + "адзін": "першы", + "два": "другі", + "тры": "трэці", + "чатыры": "чацвёрты", + "пяць": "пяты", + "шэсць": "шосты", + "сем": "сёмы", + "восем": "восьмы", + "дзевяць": "дзявяты", + "сто": "соты", + "тысяча": "тысячны", + } + + self.ords_adjective = { + "адзін": "адна", + "адна": "адна", + "дзве": "двух", + "тры": "трох", + "чатыры": "чатырох", + "пяць": "пяці", + "шэсць": "шасці", + "сем": "сямі", + "восем": "васьмі", + "дзевяць": "дзевяцi", + "сто": "ста", + } + + def to_cardinal(self, number, gender="m"): + n = str(number).replace(",", ".") + if "." in n: + left, right = n.split(".") + if set(right) == {"0"}: + leading_zero_count = 0 + else: + leading_zero_count = len(right) - len(right.lstrip("0")) + + decimal_part = (ZERO + " ") * leading_zero_count + self._int2word( + int(right), gender + ) + return "{} {} {}".format( + self._int2word(int(left), gender), self.pointword, decimal_part + ) + else: + return self._int2word(int(n), gender) + + def pluralize(self, n, forms): + if n % 100 < 10 or n % 100 > 20: + if n % 10 == 1: + form = 0 + elif 5 > n % 10 > 1: + form = 1 + else: + form = 2 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number, gender="m"): + self.verify_ordinal(number) + if isinstance(gender, bool) and gender: + gender = "f" + outwords = self.to_cardinal(number, gender).split(" ") + lastword = outwords[-1].lower() + try: + if len(outwords) > 1: + if outwords[-2] in self.ords_adjective: + outwords[-2] = self.ords_adjective.get( + outwords[-2], outwords[-2] + ) + elif outwords[-2] == "дзесяць": + outwords[-2] = outwords[-2][:-1] + "і" + if len(outwords) == 3: + if outwords[-3] in ["адзін", "адна"]: + outwords[-3] = "" + lastword = self.ords[lastword] + except KeyError: + if lastword[:-3] in self.ords_adjective: + lastword = ( + self.ords_adjective.get(lastword[:-3], lastword) + "соты" + ) + elif lastword[-7:] == "дзесяць": + lastword = "дзясяты" + elif lastword[-9:] == "семдзесят": + lastword = "сямідзясяты" + elif lastword[-1] == "ь" or lastword[-2] == "ц": + lastword = lastword[:-2] + "ты" + elif lastword[-1] == "к": + lastword = lastword.replace("о", "а") + "авы" + + elif lastword[-2] == "ч" or lastword[-1] == "ч": + if lastword[-2] == "ч": + lastword = lastword[:-1] + "ны" + if lastword[-1] == "ч": + lastword = lastword + "ны" + + elif lastword[-1] == "н" or lastword[-2] == "н": + lastword = lastword[: lastword.rfind("н") + 1] + "ны" + elif lastword[-3:] == "наў": + lastword = lastword[: lastword.rfind("н") + 1] + "ны" + elif lastword[-1] == "д" or lastword[-2] == "д": + lastword = lastword[: lastword.rfind("д") + 1] + "ны" + + if gender == "f": + if lastword[-2:] in [ + "ці", + ]: + lastword = lastword[:-2] + "цяя" + else: + lastword = lastword[:-1] + "ая" + + if gender == "n": + if lastword[-2:] in ["ці", "ца"]: + lastword = lastword[:-2] + "цяе" + else: + lastword = lastword[:-1] + "ае" + + outwords[-1] = self.title(lastword) + if len(outwords) == 2 and "адна" in outwords[-2]: + outwords[-2] = outwords[-1] + del outwords[-1] + + if len(outwords) > 1 and ( + (any(x[0] in outwords[-1] for x in THOUSANDS.values())) + or "тысяч" in outwords[-1] + ): + new_outwords = [] + for _w in outwords: + replacement = next( + (x for x in TWENTIES_ORD if x[0] in _w), None + ) + if replacement: + _w = _w.replace(replacement[0], replacement[1]) + new_outwords.append(_w) + outwords = ["".join(new_outwords)] + + return " ".join(outwords).strip() + + def _money_verbose(self, number, currency): + gender = "m" + if currency == "UAH": + gender = "f" + + return self._int2word(number, gender) + + def _cents_verbose(self, number, currency): + if currency in ("UAH", "RUB", "BYN"): + gender = "f" + else: + gender = "m" + + return self._int2word(number, gender) + + def _int2word(self, n, gender="m"): + if n < 0: + return " ".join([self.negword, self._int2word(abs(n), gender)]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3]) + + if n2 > 1: + words.append(TWENTIES[n2]) + + if n2 == 1: + words.append(TENS[n1]) + elif n1 > 0: + if i == 0: + ones = ONES[gender] + elif i == 1: + ones = ONES["f"] # Thousands are feminine + else: + ones = ONES["m"] + + words.append(ones[n1]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return " ".join(words) diff --git a/ext/py/num2words/num2words/lang_BN.py b/ext/py/num2words/num2words/lang_BN.py new file mode 100644 index 0000000..ef86ed7 --- /dev/null +++ b/ext/py/num2words/num2words/lang_BN.py @@ -0,0 +1,203 @@ +# -*- coding: utf-8 -*- +# Author: Mehedi Hasan Khondoker +# Email: mehedihasankhondoker [at] gmail.com +# Copyright (c) 2024, Mehedi Hasan Khondoker. All Rights Reserved. + +# This library is build for Bangladesh format Number to Word conversion. +# You are welcome as contributor to the library. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. + + +from decimal import Decimal + +RANKING = ['', 'প্রথম', 'দ্বিতীয়', 'তৃতীয়', 'চতুর্থ', 'পঞ্চম', 'ষষ্ঠ', + 'সপ্তম', 'অষ্টম', 'নবম', 'দশম'] # pragma: no cover + +AKOK = ['', 'এক', 'দুই', 'তিন', 'চার', 'পাঁচ', 'ছয়', + 'সাত', 'আট', 'নয়'] # pragma: no cover + +DOSOK = [ + 'দশ', 'এগারো', 'বারো', 'তেরো', 'চৌদ্দ', 'পনের', + 'ষোল', 'সতের', 'আঠারো', 'উনিশ', + 'বিশ', 'একুশ', 'বাইশ', 'তেইশ', 'চব্বিশ', 'পঁচিশ', + 'ছাব্বিশ', 'সাতাশ', 'আটাশ', 'উনত্রিশ', + 'ত্রিশ', 'একত্রিশ', 'বত্রিশ', 'তেত্রিশ', 'চৌত্রিশ', 'পঁইত্রিশ', + 'ছত্রিশ', 'সাতত্রিশ', 'আটত্রিশ', 'উনচল্লিশ', 'চল্লিশ', + 'একচল্লিশ', 'বিয়াল্লিশ', 'তেতাল্লিশ', 'চৌচল্লিশ', + 'পঁয়তাল্লিশ', 'ছেচল্লিশ', 'সাতচল্লিশ', 'আটচল্লিশ', 'উনপঞ্চাশ', + 'পঞ্চাশ', 'একান্ন', 'বাহান্ন', 'তিপ্পান্ন', 'চুয়ান্ন', 'পঞ্চান্ন', + 'ছাপ্পান্ন', 'সাতান্ন', 'আটান্ন', 'উনষাট', 'ষাট', + 'একষট্টি', 'বাষট্টি', 'তেষট্টি', 'চৌষট্টি', 'পঁয়ষট্টি', + 'ছিষট্টি', 'সাতষট্টি', 'আটষট্টি', 'উনসত্তর', 'সত্তর', + 'একাত্তর ', 'বাহাত্তর', 'তিয়াত্তর', 'চুয়াত্তর', 'পঁচাত্তর', + 'ছিয়াত্তর', 'সাতাত্তর', 'আটাত্তর', 'উনআশি', 'আশি', + 'একাশি', 'বিরাশি', 'তিরাশি', 'চুরাশি', 'পঁচাশি', + 'ছিয়াশি', 'সাতাশি', 'আটাশি', 'উননব্বই', 'নব্বই', + 'একানব্বই', 'বিরানব্বই', 'তিরানব্বই', 'চুরানব্বই', 'পঁচানব্বই', + 'ছিয়ানব্বই', 'সাতানব্বই', 'আটানব্বই', 'নিরানব্বই' +] # pragma: no cover +HAZAR = ' হাজার ' # pragma: no cover +LAKH = ' লাখ ' # pragma: no cover +KOTI = ' কোটি ' # pragma: no cover +MAX_NUMBER = 9999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999 # noqa: E501 # pragma: no cover + + +class NumberTooLargeError(Exception): + """Custom exception for numbers that are too large.""" + pass + + +class Num2Word_BN: + + @staticmethod + def str_to_number(number): + return abs(Decimal(str(number))) # pragma: no cover + + @staticmethod + def parse_number(number: Decimal): + dosomik = str(number - int(number)).split('.')[1:] + dosomik_str = ''.join(dosomik) if dosomik else 0 + return int(number), int(dosomik_str) + + @staticmethod + def parse_paisa(number: Decimal): + # 1-99 for paisa count so two digits are valid. + paisa = str(number - int(number)).split('.')[1:] + paisa_str = ''.join(paisa) if paisa else 0 + + # this is need, when we parse to decimal it removes trailing 0 . + if paisa_str: + paisa_str = str(int(paisa_str) * 100)[:2] + return int(number), int(paisa_str) + + def _is_smaller_than_max_number(self, number): + if MAX_NUMBER >= number: + return True + raise NumberTooLargeError(f'Too Large number maximum ' + f'value={MAX_NUMBER}') + + def _dosomik_to_bengali_word(self, number): + word = '' + for i in str(number): + word += ' ' + AKOK[int(i)] + return word + + def _number_to_bengali_word(self, number): + if number == 0: + return 'শূন্য' + + words = '' + + if number >= 10 ** 7: + words += self._number_to_bengali_word(number // 10 ** 7) + KOTI + number %= 10 ** 7 + + if number >= 10 ** 5: + words += self._number_to_bengali_word(number // 10 ** 5) + LAKH + number %= 10 ** 5 + + if number >= 1000: + words += self._number_to_bengali_word(number // 1000) + HAZAR + number %= 1000 + + if number >= 100: + words += AKOK[number // 100] + 'শত ' + number %= 100 + + if 10 <= number <= 99: + words += DOSOK[number - 10] + ' ' + number = 0 + + if 0 < number < 10: + words += AKOK[number] + ' ' + + return words.strip() + + def to_currency(self, val): + """ + This function represent a number to word in bangla taka and paisa. + example: + 1 = এক টাকা, + 101 = একশত এক টাকা, + 9999.15 = নয় হাজার নয়শত নিরানব্বই টাকা পনের পয়সা + and so on. + """ + + dosomik_word = None + number = self.str_to_number(val) + number, decimal_part = self.parse_paisa(number) + self._is_smaller_than_max_number(number) + + if decimal_part > 0: + dosomik_word = f' {self._number_to_bengali_word(decimal_part)} পয়সা' # noqa: E501 + + words = f'{self._number_to_bengali_word(number)} টাকা' + + if dosomik_word: + return (words + dosomik_word).strip() + return words.strip() + + def to_cardinal(self, number): + """ + This function represent a number to word in bangla. + example: + 1 = এক, + 101 = একশত এক, + 9999 = নয় হাজার নয়শত নিরানব্বই + and so on. + """ + + dosomik_word = None + number = self.str_to_number(number) + number, decimal_part = self.parse_number(number) + self._is_smaller_than_max_number(number) + + if decimal_part > 0: + dosomik_word = f' দশমিক{self._dosomik_to_bengali_word(decimal_part)}' # noqa: E501 + + words = self._number_to_bengali_word(number) + + if dosomik_word: + return (words + dosomik_word).strip() + return words.strip() + + def to_ordinal(self, number): + return self.to_cardinal(number) + + def to_ordinal_num(self, number): + """ + This function represent a number to ranking in bangla. + example: + 1 = প্রথম, + 2 = দ্বিতীয়, + 1001 = এক হাজার একতম + and so on. + """ + self._is_smaller_than_max_number(number) + + if number in range(1, 11): + return RANKING[number] + else: + rank = self.to_cardinal(int(abs(number))) + if rank.endswith('ত'): + return rank + 'ম' + return rank + 'তম' + + def to_year(self, number): + """ + This function represent a number to year in bangla. + example: + 2002 = দুই হাজার দুই সাল, + 2024 = দুই হাজার চব্বিশ সাল + and so on. + """ + self._is_smaller_than_max_number(number) + return self.to_cardinal(int(abs(number))) + ' সাল' diff --git a/ext/py/num2words/num2words/lang_CA.py b/ext/py/num2words/num2words/lang_CA.py new file mode 100644 index 0000000..97d0f29 --- /dev/null +++ b/ext/py/num2words/num2words/lang_CA.py @@ -0,0 +1,476 @@ +from __future__ import division, print_function, unicode_literals + +import math + +from .lang_EU import Num2Word_EU + +GENERIC_DOLLARS = ('dòlar', 'dòlars') +GENERIC_CENTS = ('centau', 'centaus') +CURRENCIES_UNA = ( + 'SLL', + 'SEK', + 'NOK', + 'CZK', + 'DKK', + 'ISK', + 'SKK', + 'GBP', + 'CYP', + 'EGP', + 'FKP', + 'GIP', + 'LBP', + 'SDG', + 'SHP', + 'SSP', + 'SYP', + 'INR', + 'IDR', + 'LKR', + 'MUR', + 'NPR', + 'PKR', + 'SCR', + 'ESP', + 'TRY', + 'ITL', +) +CENTS_UNA = ('EGP', 'JOD', 'LBP', 'SDG', 'SSP', 'SYP') + + +class Num2Word_CA(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('cèntim', 'cèntims')), + 'ESP': (('pesseta', 'pessetes'), ('cèntim', 'cèntims')), + 'USD': (GENERIC_DOLLARS, ('centau', 'centaus')), + 'PEN': (('sol', 'sols'), ('cèntim', 'cèntims')), + 'CRC': (('colón', 'colons'), GENERIC_CENTS), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('lliura', 'lliures'), ('penic', 'penics')), + 'RUB': (('ruble', 'rubles'), ('copec', 'copecs')), + 'SEK': (('corona', 'corones'), ('öre', 'öre')), + 'NOK': (('corona', 'corones'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'lei'), ('ban', 'bani')), + 'INR': (('rupia', 'rupies'), ('paisa', 'paise')), + 'HUF': (('fòrint', 'fòrints'), ('fillér', 'fillérs')), + 'FRF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'CNY': (('iuan', 'iuans'), ('fen', 'jiao')), + 'CZK': (('corona', 'corones'), ('haléř', 'haléřů')), + 'NIO': (('córdoba', 'córdobas'), GENERIC_CENTS), + 'VES': (('bolívar', 'bolívars'), ('cèntim', 'cèntims')), + 'BRL': (('real', 'reals'), GENERIC_CENTS), + 'CHF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'JPY': (('ien', 'iens'), ('sen', 'sen')), + 'KRW': (('won', 'wons'), ('jeon', 'jeon')), + 'KPW': (('won', 'wons'), ('chŏn', 'chŏn')), + 'TRY': (('lira', 'lires'), ('kuruş', 'kuruş')), + 'ZAR': (('rand', 'rands'), ('cèntim', 'cèntims')), + 'KZT': (('tenge', 'tenge'), ('tin', 'tin')), + 'UAH': (('hrívnia', 'hrívnies'), ('kopiika', 'kopíok')), + 'THB': (('baht', 'bahts'), ('satang', 'satang')), + 'AED': (('dirham', 'dirhams'), ('fils', 'fulūs')), + 'AFN': (('afgani', 'afganis'), ('puli', 'puls')), + 'ALL': (('lek', 'lekë'), ('qqindarka', 'qindarkë')), + 'AMD': (('dram', 'drams'), ('luma', 'lumas')), + 'ANG': (('florí', 'florins'), ('cèntim', 'cèntims')), + 'AOA': (('kwanza', 'kwanzes'), ('cèntim', 'cèntims')), + 'ARS': (('peso', 'pesos'), GENERIC_CENTS), + 'AWG': (('florí', 'florins'), GENERIC_CENTS), + 'AZN': (('manat', 'manats'), ('qəpik', 'qəpik')), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': (('taka', 'taka'), ('poisha', 'poisha')), + 'BGN': (('lev', 'leva'), ('stotinka', 'stotinki')), + 'BHD': (('dinar', 'dinars'), ('fils', 'fulūs')), + 'BIF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': (('boliviano', 'bolivianos'), GENERIC_CENTS), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': (('ngultrum', 'ngultrums'), ('chetrum', 'chetrums')), + 'BWP': (('pula', 'pula'), ('thebe', 'thebe')), + 'BYN': (('ruble', 'rubles'), ('copec', 'copecs')), + 'BYR': (('ruble', 'rubles'), ('copec', 'copecs')), + 'BZD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'CDF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'CLP': (('peso', 'pesos'), GENERIC_CENTS), + 'COP': (('peso', 'pesos'), GENERIC_CENTS), + 'CUP': (('peso', 'pesos'), GENERIC_CENTS), + 'CVE': (('escut', 'escuts'), GENERIC_CENTS), + 'CYP': (('lliura', 'lliures'), ('cèntim', 'cèntims')), + 'DJF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'DKK': (('corona', 'corones'), ('øre', 'øre')), + 'DOP': (('peso', 'pesos'), GENERIC_CENTS), + 'DZD': (('dinar', 'dinars'), ('cèntim', 'cèntims')), + 'ECS': (('sucre', 'sucres'), GENERIC_CENTS), + 'EGP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'ERN': (('nakfa', 'nakfes'), ('cèntim', 'cèntims')), + 'ETB': (('birr', 'birr'), ('cèntim', 'cèntims')), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': (('lliura', 'lliures'), ('penic', 'penics')), + 'GEL': (('lari', 'laris'), ('tetri', 'tetri')), + 'GHS': (('cedi', 'cedis'), ('pesewa', 'pesewas')), + 'GIP': (('lliura', 'lliures'), ('penic', 'penics')), + 'GMD': (('dalasi', 'dalasis'), ('butut', 'bututs')), + 'GNF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'GTQ': (('quetzal', 'quetzals'), GENERIC_CENTS), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': (('lempira', 'lempires'), GENERIC_CENTS), + 'HRK': (('kuna', 'kuna'), ('lipa', 'lipa')), + 'HTG': (('gourde', 'gourdes'), ('cèntim', 'cèntims')), + 'IDR': (('rúpia', 'rúpies'), ('cèntim', 'cèntims')), + 'ILS': (('xéquel', 'xéquels'), ('agorà', 'agorot')), + 'IQD': (('dinar', 'dinars'), ('fils', 'fils')), + 'IRR': (('rial', 'rials'), ('dinar', 'dinars')), + 'ISK': (('corona', 'corones'), ('eyrir', 'aurar')), + 'ITL': (('lira', 'lires'), ('cèntim', 'cèntims')), + 'JMD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'JOD': (('dinar', 'dinars'), ('piastra', 'piastres')), + 'KES': (('xiling', 'xílings'), ('cèntim', 'cèntims')), + 'KGS': (('som', 'som'), ('tyiyn', 'tyiyn')), + 'KHR': (('riel', 'riels'), ('cèntim', 'cèntims')), + 'KMF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'KWD': (('dinar', 'dinars'), ('fils', 'fils')), + 'KYD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'LAK': (('kip', 'kips'), ('at', 'at')), + 'LBP': (('lliura', 'lliures'), ('piastra', 'piastres')), + 'LKR': (('rúpia', 'rúpies'), ('cèntim', 'cèntims')), + 'LRD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'LSL': (('loti', 'maloti'), ('sente', 'lisente')), + 'LTL': (('lita', 'litai'), ('cèntim', 'cèntims')), + 'LYD': (('dinar', 'dinars'), ('dírham', 'dírhams')), + 'MAD': (('dírham', 'dirhams'), ('cèntim', 'cèntims')), + 'MDL': (('leu', 'lei'), ('ban', 'bani')), + 'MGA': (('ariary', 'ariary'), ('iraimbilanja', 'iraimbilanja')), + 'MKD': (('denar', 'denari'), ('deni', 'deni')), + 'MMK': (('kyat', 'kyats'), ('pya', 'pyas')), + 'MNT': (('tögrög', 'tögrög'), ('möngö', 'möngö')), + 'MOP': (('pataca', 'pataques'), ('avo', 'avos')), + 'MRO': (('ouguiya', 'ouguiya'), ('khoums', 'khoums')), + 'MRU': (('ouguiya', 'ouguiya'), ('khoums', 'khoums')), + 'MUR': (('rupia', 'rúpies'), ('cèntim', 'cèntims')), + 'MVR': (('rufiyaa', 'rufiyaa'), ('laari', 'laari')), + 'MWK': (('kwacha', 'kwacha'), ('tambala', 'tambala')), + 'MYR': (('ringgit', 'ringgits'), ('sen', 'sens')), + 'MZN': (('metical', 'meticals'), GENERIC_CENTS), + 'NAD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'NGN': (('naira', 'naires'), ('kobo', 'kobos')), + 'NPR': (('rupia', 'rupies'), ('paisa', 'paises')), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': (('rial', 'rials'), ('baisa', 'baisa')), + 'PAB': (GENERIC_DOLLARS, ('centésimo', 'centésimos')), + 'PGK': (('kina', 'kina'), ('toea', 'toea')), + 'PHP': (('peso', 'pesos'), GENERIC_CENTS), + 'PKR': (('rupia', 'rupies'), ('paisa', 'paise')), + 'PLZ': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'PYG': (('guaraní', 'guaranís'), ('cèntim', 'cèntims')), + 'QAR': (('rial', 'rials'), ('dírham', 'dírhams')), + 'QTQ': (('quetzal', 'quetzals'), GENERIC_CENTS), + 'RSD': (('dinar', 'dinars'), ('para', 'para')), + 'RUR': (('ruble', 'rubles'), ('copec', 'copecs')), + 'RWF': (('franc', 'francs'), ('cèntim', 'cèntims')), + 'SAR': (('riyal', 'riyals'), ('hàl·lala', 'hàl·lalat')), + 'SBD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SCR': (('rupia', 'rupies'), ('cèntim', 'cèntims')), + 'SDG': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'SGD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SHP': (('lliura', 'lliures'), ('penic', 'penics')), + 'SLL': (('leonE', 'leones'), ('cèntim', 'cèntims')), + 'SRD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'SSP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'STD': (('dobra', 'dobrAs'), ('cèntim', 'cèntims')), + 'SVC': (('colón', 'colons'), GENERIC_CENTS), + 'SYP': (('lliura', 'lliures'), ('piastre', 'piastres')), + 'SZL': (('lilangeni', 'emalangeni'), ('cèntim', 'cèntims')), + 'TJS': (('somoni', 'somoni'), ('diram', 'diram')), + 'TMT': (('manat', 'manats'), ('teňňesi', 'teňňesi')), + 'TND': (('dinar', 'dinars'), ('mil·lim', 'mil·limat')), + 'TOP': (('paanga', 'paangas'), ('seniti', 'seniti')), + 'TTD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'TWD': (('nou dòlar', 'nous dòlars'), ('fen', 'fen')), + 'TZS': (('xíling', 'xílings'), ('cèntim', 'cèntims')), + 'UGX': (('xíling', 'xílings'), ('cèntim', 'cèntims')), + 'UYU': (('peso', 'pesos'), ('centèsim', 'centèsims')), + 'UZS': (('som', 'som'), ('tiyin', 'tiyin')), + 'VND': (('dong', 'dongs'), ('xu', 'xu')), + 'VUV': (('vatu', 'vatus'), ('cèntim', 'cèntims')), + 'WST': (('tala', 'tala'), ('sene', 'sene')), + 'XAF': (('franc CFA', 'francs CFA'), ('cèntim', 'cèntims')), + 'XCD': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'XOF': (('franc CFA', 'francs CFA'), ('cèntim', 'cèntims')), + 'XPF': (('franc CFP', 'francs CFP'), ('cèntim', 'cèntims')), + 'YER': (('rial', 'rials'), ('fils', 'fils')), + 'YUM': (('dinar', 'dinars'), ('para', 'para')), + 'ZMW': (('kwacha', 'kwacha'), ('ngwee', 'ngwee')), + 'ZWL': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + 'ZWL': (GENERIC_DOLLARS, ('cèntim', 'cèntims')), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "ilió" + + def setup(self): + lows = ["quadr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menys " + self.pointword = "punt" + self.errmsg_nonnum = "type(%s) no és [long, int, float]" + self.errmsg_floatord = "El float %s no pot ser tractat com un" \ + " ordinal." + self.errmsg_negord = "El número negatiu %s no pot ser tractat" \ + " com un ordinal." + self.errmsg_toobig = "abs(%s) ha de ser inferior a %s." + self.gender_stem = "è" + self.exclude_title = ["i", "menys", "punt"] + + self.mid_numwords = [ + (1000, "mil"), + (100, "cent"), + (90, "noranta"), + (80, "vuitanta"), + (70, "setanta"), + (60, "seixanta"), + (50, "cinquanta"), + (40, "quaranta"), + (30, "trenta"), + ] + self.low_numwords = [ + "vint-i-nou", + "vint-i-vuit", + "vint-i-set", + "vint-i-sis", + "vint-i-cinc", + "vint-i-quatre", + "vint-i-tres", + "vint-i-dos", + "vint-i-un", + "vint", + "dinou", + "divuit", + "disset", + "setze", + "quinze", + "catorze", + "tretze", + "dotze", + "onze", + "deu", + "nou", + "vuit", + "set", + "sis", + "cinc", + "quatre", + "tres", + "dos", + "un", + "zero", + ] + self.mid_num = { + 1000: "mil", + 100: "cent", + 90: "noranta", + 80: "vuitanta", + 70: "setanta", + 60: "seixanta", + 50: "cinquanta", + 40: "quaranta", + 30: "trenta", + 20: "vint", + 10: "deu", + } + self.low_num = { + 0: "zero", + 1: "un", + 2: "dos", + 3: "tres", + 4: "quatre", + 5: "cinc", + 6: "sis", + 7: "set", + 8: "vuit", + 9: "nou", + 10: "deu", + 11: "onze", + 12: "dotze", + 13: "tretze", + 14: "catorze", + 15: "quinze", + 16: "setze", + 17: "disset", + 18: "divuit", + 19: "dinou", + 20: "vint", + 21: "vint-i-un", + 22: "vint-i-dos", + 23: "vint-i-tres", + 24: "vint-i-quatre", + 25: "vint-i-cinc", + 26: "vint-i-sis", + 27: "vint-i-set", + 28: "vint-i-vuit", + 29: "vint-i-nou", + } + self.ords = { + 1: "primer", + 2: "segon", + 3: "tercer", + 4: "quart", + 5: "cinqu", + 6: "sis", + 7: "set", + 8: "vuit", + 9: "nov", + 10: "des", + 11: "onz", + 12: "dotz", + 13: "tretz", + 14: "catorz", + 15: "quinz", + 16: "setz", + 17: "disset", + 18: "divuit", + 19: "dinov", + 20: "vint", + 30: "trent", + 40: "quarant", + 50: "cinquant", + 60: "seixant", + 70: "setant", + 80: "vuitant", + 90: "norant", + 100: "cent", + 200: "dos-cent", + 300: "tres-cent", + 400: "quatre-cent", + 500: "cinc-cent", + 600: "sis-cent", + 700: "set-cent", + 800: "vuit-cent", + 900: "nou-cent", + 1e3: "mil", + 1e6: "milion", + 1e9: "mil milion", + 1e12: "bilion", + 1e15: "mil bilion", + } + + self.ords_2 = {1: "1r", 2: "2n", 3: "3r", 4: "4t"} + self.ords_3 = { + 1: "unè", + 2: "dosè", + 3: "tresè", + 4: "quatrè", + 5: "cinquè", + 6: "sisè", + 7: "setè", + 8: "vuitè", + 9: "novè", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if cnum == 1: + if nnum < 1000000: + return next + ctext = "un" + + if nnum < cnum: + if cnum < 100: + return "%s-%s" % (ctext, ntext), cnum + nnum + elif nnum == 1: + return "%s %s" % (ctext, ntext), cnum + nnum + elif cnum == 100: + return "%s %s" % (ctext, ntext), cnum + nnum + else: + return "%s %s" % (ctext, ntext), cnum + nnum + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-3] + "lions" + if nnum == 100: + ntext += "s" + ctext += "-" + else: + ntext = " " + ntext + return (ctext + ntext, cnum * nnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 0: + text = "" + elif value < 5: + text = self.ords[value] + elif value <= 20: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value <= 30: + frac = value % 10 + text = "%s%s%s" % (self.ords[20], "-i-", self.ords_3[frac]) + elif value < 100: + dec = (value // 10) * 10 + text = "%s%s%s%s" % (self.ords[dec], "a", + "-", self.ords_3[value - dec]) + elif value == 1e2: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value < 2e2: + cen = (value // 100) * 100 + text = "%s %s" % (self.ords[cen], self.to_ordinal(value - cen)) + elif value < 1e3: + cen = (value // 100) * 100 + text = "%s%s %s" % (self.ords[cen], "s", + self.to_ordinal(value - cen)) + elif value == 1e3: + text = "%s%s" % (self.ords[value], self.gender_stem) + elif value < 1e6: + dec = 1000 ** int(math.log(int(value), 1000)) + high_part, low_part = divmod(value, dec) + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = "%s %s %s" % (cardinal, self.ords[dec], + self.to_ordinal(low_part)) + elif value < 1e18: + dec = 1000 ** int(math.log(int(value), 1000)) + high_part, low_part = divmod(value, dec) + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = "%s%s%s %s" % (cardinal, self.ords[dec], + self.gender_stem, self.to_ordinal(low_part)) + else: + part1 = self.to_cardinal(value) + text = "%s%s" % (part1[:-1], "onè") + return text.strip() + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + if value not in self.ords_2: + return "%s%s" % (value, "è" if self.gender_stem == "è" else "a") + else: + return self.ords_2[value] + + def to_currency(self, val, currency="EUR", cents=True, + separator=" amb", adjective=False): + result = super(Num2Word_CA, self).to_currency( + val, currency=currency, cents=cents, + separator=separator, adjective=adjective + ) + list_result = result.split(separator + " ") + + if currency in CURRENCIES_UNA: + list_result[0] = list_result[0].replace("un", "una") + list_result[0] = list_result[0].replace("dos", "dues") + list_result[0] = list_result[0].replace("cents", "centes") + + list_result[0] = list_result[0].replace("vint-i-un", "vint-i-un") + list_result[0] = list_result[0].replace(" i un", "-un") + list_result[0] = list_result[0].replace("un", "un") + + if currency in CENTS_UNA: + list_result[1] = list_result[1].replace("un", "una") + list_result[1] = list_result[1].replace("dos", "dues") + + list_result[1] = list_result[1].replace("vint-i-un", "vint-i-una") + + list_result[1] = list_result[1].replace("un", "un") + + result = (separator + " ").join(list_result) + + return result diff --git a/ext/py/num2words/num2words/lang_CE.py b/ext/py/num2words/num2words/lang_CE.py new file mode 100644 index 0000000..abf8e5f --- /dev/null +++ b/ext/py/num2words/num2words/lang_CE.py @@ -0,0 +1,522 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2023, Johannes Heinecke. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .currency import parse_currency_parts +from .lang_EU import Num2Word_EU + +# Chechen numbers inflect in case if without noun or +# use a special oblique ending when followed by a counted noun +# 4, 14, 40 and composites thereof agree in class (gender) with the +# noun. Chechen has 6 classes which are indicated by the initial +# letter of 4, 14 and 40. By default it is "д" but +# it can also be "б", "й" or "в". +# Indicate the needed class prefix as follows +# num2words(4, lang='ce', case="abs", clazz="б") + + +CARDINALS = { + "casenames": { + "abs": "Им.", + "gen": "Род.", + "dat": "Дат.", + "erg": "Эрг;", + "instr": "Твор.", + "mat": "Вещ.", + "comp": "Сравнит.", + "all": "Местн.", + }, + "casesuffix_cons": { # to be added to numerals with final consonant + "gen": "аннан", + "dat": "анна", + "erg": "амма", + "instr": "анца", + "mat": "аннах", + "comp": "аннал", + "all": "анга", + "obl": "ан", + "ORD": "алгӀа", + }, + "casesuffix_voc": { # to be added to numerals with final vowel + "gen": "ннан", + "dat": "нна", + "erg": "мма", + "instr": "нца", + "mat": "ннах", + "comp": "ннал", + "all": "нга", + "obl": "н", + "ORD": "лгӀа", + }, + 0: { + "attr": "ноль", + "abs": "ноль", + "gen": "нолан", + "dat": "нолана", + "erg": "ноло", + "instr": "ноланца", + "mat": "ноланах", + "comp": "ноланал", + "all": "ноланга", + }, + 1: { + "attr": "цхьа", # in front of nouns in ABS + "obl": "цхьана", # with nouns in other cases than ABS + "abs": "цхьаъ", + "gen": "цхьаннан", + "dat": "цхьанна", + "erg": "цхьамма", + "instr": "цхьаьнца", + "mat": "цхьаннах", + "comp": "цхьаннал", + "all": "цхаьнга", + "ORD": "цхьалгӀа", + }, + 2: { + "attr": "ши", # in front of 100, 1000 + "obl": "шина", + "abs": "шиъ", + "gen": "шиннан", + "dat": "шинна", + "erg": "шимма", + "instr": "шинца", + "mat": "шиннах", + "comp": "шиннал", + "all": "шинга", + "ORD": "шолгӀа", + }, + 3: { + "attr": "кхо", + "obl": "кхона", + "abs": "кхоъ", + "gen": "кхааннан", + "dat": "кхаанна", + "erg": "кхаамма", + "instr": "кхаанца", + "mat": "кхааннах", + "comp": "кхааннал", + "all": "кхаанга", + "ORD": "кхоалгӀа", + }, + 4: { + "attr": "д*и", + "obl": "д*еа", + "abs": "д*иъ", + "gen": "д*еаннан", + "dat": "д*еанна", + "erg": "д*еамма", + "instr": "д*еанца", + "mat": "д*еаннах", + "comp": "д*еаннал", + "all": "д*еанга", + "ORD": "д*оьалгӀа", + }, + 5: { + "attr": "пхи", + "obl": "пхеа", + "abs": "пхиъ", + "gen": "пхеаннан", + "dat": "пхеанна", + "erg": "пхеамма", + "instr": "нхеанца", + "mat": "пхеаннах", + "comp": "пхеаннал", + "all": "пхеанга", + "ORD": "пхоьалгӀа", + }, + 6: { + "abs": "ялх", + "attr": "ялх", + "ORD": "йолхалгӀа", + }, + 7: { + "abs": "ворхӀ", + "attr": "ворхӀ", + "ORD": "ворхӀалгӀа", + }, + 8: { + "abs": "бархӀ", + "attr": "бархӀ", + "ORD": "борхӀалӀа", + }, + 9: { + "abs": "исс", + "attr": "исс", + "ORD": "уьссалгӀа", + }, + 10: { + "attr": "итт", + "abs": "итт", + "gen": "иттаннан", + "dat": "иттанна", + "erg": "иттамма", + "instr": "иттанца", + "mat": "иттаннах", + "comp": "иттаннал", + "all": "иттанга", + "ORD": "уьтталгӀа", + }, + 11: { + "abs": "цхьайтта", + "attr": "цхьайтта", + "ORD": "цхьайтталгӀа", + }, + 12: { + "abs": "шийтта", + "attr": "шийтта", + "ORD": "шийтталга", + }, + 13: { + "abs": "кхойтта", + "attr": "кхойтта", + "ORD": "кхойтталгӀа", + }, + 14: { + "abs": "д*ейтта", + "attr": "д*ейтта", + "ORD": "д*ейтталгӀа", + }, + 15: { + "abs": "пхийтта", + "attr": "пхийтта", + "ORD": "пхийтталгӀа", + }, + 16: { + "abs": "ялхитта", + "attr": "ялхитта", + "ORD": "ялхитталгӀа", + }, + 17: { + "abs": "вуьрхӀитта", + "attr": "вуьрхӀитта", + "ORD": "вуьрхӀитталгӀа", + }, + 18: { + "abs": "берхӀитта", + "attr": "берхӀитта", + "ORD": "берхитталӀа", + }, + 19: { + "abs": "ткъайесна", + "attr": "ткъайесна", + "ORD": "ткъаесналгӀа", + }, + 20: { + "abs": "ткъа", + "gen": "ткъаннан", + "dat": "ткъанна", + "erg": "ткъамма", + "instr": "ткъанца", + "mat": "ткъаннах", + "comp": "ткъаннал", + "all": "ткъанга", + "attr": "ткъе", + "ORD": "ткъолгӀа", + }, + 40: { + "abs": "шовзткъа", + "attr": "шовзткъе", + "ORD": "шовзткъалгІа", + }, + 60: { + "abs": "кхузткъа", + "attr": "кхузткъе", + "ORD": "кхузткъалгІа", + }, + 80: { + "abs": "дезткъа", + "attr": "дезткъе", + "ORD": "дезткъалгІа", + }, + 100: { + "attr": "бӀе", + "abs": "бӀе", + "obl": "бӀен", + "gen": "бӀеннан", + "dat": "бӀенна", + "erg": "бӀемма", + "instr": "бӀенца", + "mat": "бӀеннах", + "comp": "бӀеннал", + "all": "бӀенга", + "ORD": "бІолгІа", + }, + 1000: { + "attr": "эзар", + "abs": "эзар", + "obl": "эзаран", + "gen": "эзарнан", + "dat": "эзарна", + "erg": "эзарно", + "instr": "эзарнаца", + "mat": "эзарнах", + "comp": "эзарнал", + "all": "эзаранга", + "ORD": "эзарлагІа", + }, + 1000000: { + "attr": "миллион", + "abs": "миллион", + "ORD": "миллионалгІа", + }, +} + +ILLIONS = { + 6: { + "attr": "миллион", + "abs": "миллион", + "ORD": "миллионалгІа", + }, + 9: { + "attr": "миллиард", + "abs": "миллиард", + "ORD": "миллиардалгІа", + }, + 12: { + "attr": "биллион", + "abs": "биллион", + "ORD": "биллионалгІа", + }, + 15: { + "attr": "биллиард", + "abs": "биллиард", + "ORD": "биллиардалгІа", + }, + 18: { + "attr": "триллион", + "abs": "триллион", + "ORD": "триллионалгІа", + }, + 21: { + "attr": "триллиард", + "abs": "триллиард", + "ORD": "триллиардалгІа", + }, + 24: { + "attr": "квадриллион", + "abs": "квадриллион", + "ORD": "квадриллионалгІа", + }, + 27: { + "attr": "квадриллиард", + "abs": "квадриллиард", + "ORD": "квадриллиардалгІа", + }, + 30: { + "attr": "квинтиллион", + "abs": "квинтиллион", + "ORD": "квинтиллионалгІа", + }, + 33: { + "attr": "квинтиллиард", + "abs": "квинтиллиард", + "ORD": "квинтиллиардалгІа", + }, +} + + +MINUS = "минус" +# DECIMALPOINT = "запятая" # check ! +DECIMALPOINT = "а" + + +class Num2Word_CE(Num2Word_EU): + CURRENCY_FORMS = { + # currency code: (sg, pl), (sg, pl) + "EUR": (("Евро", "Евро"), ("Сент", "Сенташ")), + "RUB": (("Сом", "Сомаш"), ("Кепек", "Кепекаш")), + "USD": (("Доллар", "Доллараш"), ("Сент", "Сенташ")), + "GBP": (("Фунт", "Фунташ"), ("Пенни", "Пенни")), + } + + def setup(self): + Num2Word_EU.setup(self) + self.negword = "минус" + self.pointword = "запятая" # check ! + # self.errmsg_nonnum = ( + # u"Seulement des nombres peuvent être convertis en mots." + # ) + # self.errmsg_toobig = ( + # u"Nombre trop grand pour être converti en mots (abs(%s) > %s)." + # ) + # self.exclude_title = ["et", "virgule", "moins"] + self.mid_numwords = [] + self.low_numwords = [] + self.ords = {} + + def to_ordinal(self, number, clazz="д"): + # implement here your code. number is the integer to + # be transformed into an ordinal as a word (str) + # which is returned + return self.to_cardinal(number, clazz=clazz, case="ORD") + + def to_cardinal(self, number, clazz="д", case="abs"): + if isinstance(number, float): + entires = self.to_cardinal(int(number)) + float_part = str(number).split(".")[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return entires + " " + DECIMALPOINT + " " + postfix + + elif number < 20: + return self.makecase(number, case, clazz) + elif number < 100: + twens = number // 20 + units = number % 20 + base = twens * 20 + if units == 0: + return self.makecase(number, case, clazz) + else: + twenties = self.makecase(base, "attr", clazz) + rest = self.to_cardinal(units, clazz=clazz, case=case) + return twenties + " " + rest.replace("д*", clazz) + elif number < 1000: + hundreds = number // 100 + tens = number % 100 + if hundreds > 1: + hundert = ( + CARDINALS[hundreds]["attr"].replace("д*", clazz) + " " + ) + else: + hundert = "" + if tens != 0: + rest = self.to_cardinal(tens, clazz=clazz, case=case) + return hundert + CARDINALS[100]["abs"] + " " + rest + else: + return hundert + self.makecase(100, case, clazz) + elif number < 1000000: + thousands = number // 1000 + hundert = number % 1000 + if hundert > 0: + tcase = "attr" + else: + tcase = case + if thousands > 1: + tausend = ( + self.to_cardinal(thousands, clazz=clazz, case="attr") + + " " + + CARDINALS[1000][tcase] + ) + else: + tausend = self.makecase(1000, tcase, clazz) + + if hundert != 0: + rest = " " + self.to_cardinal(hundert, clazz=clazz, case=case) + else: + rest = "" + return tausend + rest + + elif number < 10**34: + out = [] + for pot in reversed([6, 9, 12, 15, 18, 21, 24, 27, 30, 33]): + # 3 digits of billion, trillion etc + step = number // 10**pot % 1000 + if step > 0: + words = self.to_cardinal(step, clazz=clazz, case="attr") + out.append(words + " " + ILLIONS[pot]["attr"]) + rest = number % 10**6 + if rest: + out.append(self.to_cardinal(rest, clazz=clazz, case=case)) + return " ".join(out) + + return "NOT IMPLEMENTED" + + def _money_verbose(self, number, currency, case): + mcase = "attr" + if case != "abs": + mcase = "obl" + return self.to_cardinal(number, case=mcase) + + def _cents_verbose(self, number, currency, case): + mcase = "attr" + if case != "abs": + mcase = "obl" + return self.to_cardinal(number, case=mcase) + + def to_currency( + self, + val, + currency="RUB", + cents=True, + separator=",", + adjective=False, + case="abs", + ): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + devise = cr1[0] + centime = cr2[0] + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' + % (currency, self.__class__.__name__) + ) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency, case) + cents_str = ( + self._cents_verbose(right, currency, case) + if cents + else self._cents_terse(right, currency) + ) + + return "%s%s %s%s %s %s" % ( + minus_str, + money_str, + devise, # always singular + separator, + cents_str, + centime, + ) + + def to_ordinal_num(self, number): + self.verify_ordinal(number) + return str(number) + "-й" + + def to_year(self, year, case="abs"): + return self.to_cardinal(year, case=case) + + def makecase(self, number, case, clazz): + # print("ZZZZ", number, CARDINALS[number]) + if case in CARDINALS[number]: + return CARDINALS[number][case].replace("д*", clazz) + else: + if CARDINALS[number]["abs"][-1] in "а": + return ( + CARDINALS[number]["abs"].replace("д*", clazz) + + CARDINALS["casesuffix_voc"][case] + ) + else: + return ( + CARDINALS[number]["abs"].replace("д*", clazz) + + CARDINALS["casesuffix_cons"][case] + ) diff --git a/ext/py/num2words/num2words/lang_CS.py b/ext/py/num2words/num2words/lang_CS.py new file mode 100644 index 0000000..6024b77 --- /dev/null +++ b/ext/py/num2words/num2words/lang_CS.py @@ -0,0 +1,157 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jedna',), + 2: ('dva',), + 3: ('tři',), + 4: ('čtyři',), + 5: ('pět',), + 6: ('šest',), + 7: ('sedm',), + 8: ('osm',), + 9: ('devět',), +} + +TENS = { + 0: ('deset',), + 1: ('jedenáct',), + 2: ('dvanáct',), + 3: ('třináct',), + 4: ('čtrnáct',), + 5: ('patnáct',), + 6: ('šestnáct',), + 7: ('sedmnáct',), + 8: ('osmnáct',), + 9: ('devatenáct',), +} + +TWENTIES = { + 2: ('dvacet',), + 3: ('třicet',), + 4: ('čtyřicet',), + 5: ('padesát',), + 6: ('šedesát',), + 7: ('sedmdesát',), + 8: ('osmdesát',), + 9: ('devadesát',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvěstě',), + 3: ('třista',), + 4: ('čtyřista',), + 5: ('pětset',), + 6: ('šestset',), + 7: ('sedmset',), + 8: ('osmset',), + 9: ('devětset',), +} + +THOUSANDS = { + 1: ('tisíc', 'tisíce', 'tisíc'), # 10^3 + 2: ('milion', 'miliony', 'milionů'), # 10^6 + 3: ('miliarda', 'miliardy', 'miliard'), # 10^9 + 4: ('bilion', 'biliony', 'bilionů'), # 10^12 + 5: ('biliarda', 'biliardy', 'biliard'), # 10^15 + 6: ('trilion', 'triliony', 'trilionů'), # 10^18 + 7: ('triliarda', 'triliardy', 'triliard'), # 10^21 + 8: ('kvadrilion', 'kvadriliony', 'kvadrilionů'), # 10^24 + 9: ('kvadriliarda', 'kvadriliardy', 'kvadriliard'), # 10^27 + 10: ('quintillion', 'quintilliony', 'quintillionů'), # 10^30 +} + + +class Num2Word_CS(Num2Word_Base): + CURRENCY_FORMS = { + 'CZK': ( + ('koruna', 'koruny', 'korun'), ('halíř', 'halíře', 'haléřů') + ), + 'EUR': ( + ('euro', 'euro', 'euro'), ('cent', 'centy', 'centů') + ), + } + + def setup(self): + self.negword = "mínus" + self.pointword = "celá" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 5 > n % 10 > 1 and (n % 100 < 10 or n % 100 > 20): + form = 1 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/num2words/lang_CY.py b/ext/py/num2words/num2words/lang_CY.py new file mode 100644 index 0000000..e504512 --- /dev/null +++ b/ext/py/num2words/num2words/lang_CY.py @@ -0,0 +1,607 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2023, Johannes Heinecke. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .currency import parse_currency_parts +from .lang_EU import Num2Word_EU + +# Welsh numerals differs to many other languages since the counted +# object does not follow the numeral but is inserted between +# e.g. "23 hours" is +# tri awr ar hugain +# 3 hour on twenty +# in addition to that some numeral trigger a mutation on the following word +# either another numeral or the counted object +# (https://en.wikipedia.org/wiki/Consonant_mutation#Welsh) +# e.g. "23 dogs" (aspirated mutation, c -> ch) +# tri chi ar hugain +# 3 dog on twenty +# but "22 dogs" (soft mutation, c -> g) +# dau gi ar hugain +# 2 dog on twenty +# and "24 dogs" (no mutation) +# pedwar ci ar hugain +# 4 dog on twenty +# (BTW, the counted word is always in singular when following a numeral) +# numerals are mutated as well +# e.g. "300" +# tri chant +# 3 hundred +# "200" +# dau gant +# 2 hundred +# "500" +# pump cant +# 5 hundreds +# the numerals for 2, 3 and 4 are different in function of gender (MASC, FEM) +# 2 cats +# dwy gath + +# 2 dogs +# dau gi + +# 2000 +# dwy fil + +# 3000 +# tair mil + +# to add the counted object in the correct position use +# num2words(17, lang="cy", counted="ci", gender="masc") +# num2words(17, lang="cy", counted="cath", gender="fem") +# if the number is > 99, use plural form of counted object +# num2words(117, lang="cy", counted="cathod", gender="fem") + + +# Globals +# ------- + +OBJ = "__OBJECT__" + +CARDINAL_WORDS = { + # masc, fem, triggers mutation + 0: [("dim", None), (OBJ, None)], + 1: [("un", None), (OBJ, None)], + 2: [("dau", "SM"), (OBJ, None)], + 3: [("tri", "AM"), (OBJ, None)], + 4: [("pedwar", None), (OBJ, None)], + 5: [("pump", None), (OBJ, None)], + 6: [("chwech", "AM"), (OBJ, None)], + 7: [("saith", None), (OBJ, None)], + 8: [("wyth", None), (OBJ, None)], + 9: [("naw", None), (OBJ, None)], + 10: [("deg", None), (OBJ, None)], + 11: [("un", None), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddeg", None), (OBJ, None)], + 13: [("tri", "AM"), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwar", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymtheg", None), (OBJ, None)], + 16: [("un", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("dau", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunaw", None), (OBJ, None)], + 19: [("pedwar", None), ("ar bymtheg", None)], +} + +CARDINAL_WORDS_FEM = { + # masc, fem, triggers mutation + 0: [("dim", None), (OBJ, None)], + 1: [("un", None), (OBJ, None)], + 2: [("dwy", "SM"), (OBJ, None)], + 3: [("tair", None), (OBJ, None)], + 4: [("pedair", None), (OBJ, None)], + 5: [("pump", None), (OBJ, None)], + 6: [("chwech", "AM"), (OBJ, None)], + 7: [("saith", None), (OBJ, None)], + 8: [("wyth", None), (OBJ, None)], + 9: [("naw", None), (OBJ, None)], + 10: [("deg", None), (OBJ, None)], + 11: [("un", None), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddeg", None), (OBJ, None)], + 13: [("tair", None), (OBJ, None), ("ar ddeg", None)], + 14: [("pedair", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymtheg", None), (OBJ, None)], + 16: [("un", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("dwy", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunaw", None), (OBJ, None)], + 19: [("pedair", None), ("ar bymtheg", None)], +} + +MILLION_WORDS = { + 3: ("mil", None), + 6: ("miliwn", None), + 9: ("biliwn", None), + 12: ("triliwn", None), + 15: ("cwadriliwn", None), + 18: ("cwintiliwn", None), + 21: ("secsttiliwn", None), + 24: ("septiliwn", None), + 27: ("octiliwn", None), + 30: ("noniliwn", None), + 33: ("dengiliwn", None), +} + +ORDINAL_WORDS = { + 0: [("dimfed", None), (OBJ, None)], + 1: [(OBJ, None), ("cyntaf", None)], + 2: [("ail", "SM"), (OBJ, None)], + 3: [("trydydd", None), (OBJ, None)], + 4: [("pedwerydd", None), (OBJ, None)], + 5: [("pumed", None), (OBJ, None)], + 6: [("chweched", None), (OBJ, None)], + 7: [("saithfed", None), (OBJ, None)], + 8: [("wythfed", None), (OBJ, None)], + 9: [("nawfed", None), (OBJ, None)], + 10: [("degfed", None), (OBJ, None)], + 11: [("unfed", "SM"), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddegfed", None), (OBJ, None)], + 13: [("trydydd", None), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwerydd", None), (OBJ, None), ("ar ddeg", None)], + 15: [("pymthegfed", None), (OBJ, None)], + 16: [("unfed", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("ail", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunawfed", None), (OBJ, None)], + 19: [("pedwerydd", None), (OBJ, None), ("ar bymtheg", None)], +} +ORDINAL_WORDS_FEM = { + 0: [("dimfed", None), (OBJ, None)], + 1: [(OBJ, None), ("gyntaf", None)], + 2: [("ail", "SM"), (OBJ, None)], + 3: [("trydedd", "SM"), (OBJ, None)], + 4: [("pedwaredd", "SM"), (OBJ, None)], + 5: [("pumed", None), (OBJ, None)], + 6: [("chweched", None), (OBJ, None)], + 7: [("saithfed", None), (OBJ, None)], + 8: [("wythfed", None), (OBJ, None)], + 9: [("nawfed", None), (OBJ, None)], + 10: [("degfed", None), (OBJ, None)], + 11: [("unfed", "SM"), (OBJ, None), ("ar ddeg", None)], + 12: [("deuddegfed", None), (OBJ, None)], + 13: [("trydedd", "SM"), (OBJ, None), ("ar ddeg", None)], + 14: [("pedwaredd", "SM"), (OBJ, None), ("ar ddeg", None)], + 15: [("pymthegfed", None), (OBJ, None)], + 16: [("unfed", None), (OBJ, None), ("ar bymtheg", None)], + 17: [("ail", "SM"), (OBJ, None), ("ar bymtheg", None)], + 18: [("deunawfed", None), (OBJ, None)], + 19: [("pedwaredd", None), (OBJ, None), ("ar bymtheg", None)], +} + +# The script can extrapolate the missing numbers from the base forms. +STR_TENS = { + 1: [("ugain", None), (OBJ, None)], + 2: [("deugain", None), (OBJ, None)], + 3: [("trigain", None), (OBJ, None)], + 4: [("pedwar ugain", None), (OBJ, None)], +} + +ORD_STR_TENS = { + 1: [("ugainfed", None), (OBJ, None)], + 2: [("deugainfed", None), (OBJ, None)], + 3: [("trigainfed", None), (OBJ, None)], + 4: [("pedwar ugainfed", None), (OBJ, None)], +} + +STR_TENS_INFORMAL = { + 1: ("undeg", None), + 2: ("dauddeg", None), + 3: ("trideg", None), + 4: ("pedwardeg", None), + 5: ("pumdeg", None), + 6: ("chwedeg", None), + 7: ("saithdeg", None), + 8: ("wythdeg", None), + 9: ("nawdeg", None), +} + + +GENERIC_DOLLARS = ("dolar", "dolarau") +GENERIC_CENTS = ("ceiniog", "ceiniogau") + +CURRENCIES_FEM = ["GBP"] + + +class Num2Word_CY(Num2Word_EU): + CURRENCY_FORMS = { + # currency code: (sg, pl), (sg, pl) + # in Welsh a noun after a numeral is ALWAYS in the singular + "EUR": (("euro", "euros"), GENERIC_CENTS), + "USD": (GENERIC_DOLLARS, GENERIC_CENTS), + "GBP": (("punt", "punnoedd"), ("ceiniog", "ceiniogau")), + "CNY": (("yuan", "yuans"), ("ffen", "ffens")), + } + + MINUS_PREFIX_WORD = "meinws " + FLOAT_INFIX_WORD = " pwynt " + +# def setup(self): +# Num2Word_EU.setup(self) + + def __init__(self): + pass + + def float_to_words(self, float_number): + # if ordinal: + # prefix = self.to_ordinal(int(float_number)) + # else: + prefix = self.to_cardinal(int(float_number)) + float_part = str(float_number).split(".")[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return prefix + Num2Word_CY.FLOAT_INFIX_WORD + postfix + + def hundred_group( + self, number, informal=False, gender="masc", ordinal=False + ): + hundreds = number // 100 + until100 = number % 100 # 0 - 99 + # list group of number words and mutation info (for the following word) + result = ( + [] + ) + if gender == "fem": + CW = CARDINAL_WORDS_FEM + else: + if ordinal: + CW = ORDINAL_WORDS + else: + CW = CARDINAL_WORDS + + if hundreds > 0: + if hundreds > 1: + result.extend((CARDINAL_WORDS[hundreds])) + result.extend([("cant", None), (OBJ, None)]) + if until100: + if until100 in [ + 1, + 8, + 11, + 16, + 20, + 21, + 31, + 36, + 41, + 48, + 61, + 68, + 71, + 81, + 88, + 91, + ]: + result.append(("ac", None)) + else: + result.append(("a", "AM")) + if until100: + # if informal: + # pass + if not ordinal and until100 >= 50 and until100 <= 59: + units = number % 10 + if hundreds > 0: + if units == 0: + result.append(("hanner", None)) + elif units == 1: + result.extend([("hanner ac un", None), (OBJ, None)]) + else: + result.append(("hanner a", "AM")) + result.extend(CW[units]) + else: + if units == 0: + result.extend([("hanner cant", None), (OBJ, None)]) + elif units == 1: + result.extend( + [("hanner cant ac un", None), (OBJ, None)] + ) + else: + result.append(("hanner cant a", "AM")) + result.extend(CW[units]) + else: + if (number < 20 and number > 0) or ( + number == 0 and hundreds == 0 + ): + if gender == "fem": + result.extend(CARDINAL_WORDS_FEM[int(number)]) + else: + result.extend(CARDINAL_WORDS[int(number)]) + + else: + tens = until100 // 20 + units = number % 20 + if ordinal and units == 0: + degau = ORD_STR_TENS.get(tens) + else: + degau = STR_TENS.get(tens) + + if units != 0: + if tens > 1: + result.extend(CW[units]) + if degau: + result.append(("a", "AM")) + result.extend(degau) + else: + result.extend(CW[units]) + if degau: + result.append(("ar", "SM")) + result.extend(degau) + elif degau: + result.extend(degau) + return result + + def to_ordinal(self, number, informal=False, gender="masc"): + if number < 20: + return makestring(ORDINAL_WORDS[number]) + if number == 100: + return "canfed" + elif number > 100: + raise NotImplementedError("The given number is too large.") + + return self.to_cardinal( + number, informal=False, gender=gender, ordinal=True + ) + + def to_cardinal( + self, + number, + informal=False, + gender="masc", + ordinal=False, + counted=None, + raw=False, + ): + negative = False + if number < 0: + negative = True + number = -1 * number + if number == 0: + if raw: + return CARDINAL_WORDS[0] + else: + return makestring(CARDINAL_WORDS[0]) + elif not number < 999 * 10**33: + raise NotImplementedError("The given number is too large.") + + elif isinstance(number, float): + return self.float_to_words(number) + + # split in groups of 10**3 + # groups of three digits starting from right (units (1 - 999), + # thousands, millions, ...) + groups = ( + [] + ) + lowestgroup = ( + None # find the lowest group of 3 digits > 0 for the ordinals + ) + for pot in [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36]: + gr = (number % 10**pot) // 10 ** (pot - 3) + groups.append((gr, pot)) + if gr and not lowestgroup: + lowestgroup = gr + # print("groups", groups) + + result = [] + if negative: + result.append(("meinws", None)) + + for gr, pot in reversed(groups): + if gr: + # print("AAAA", gr, pot, gender) + if pot == 6: + g = "fem" # mil (1000) is feminine + elif pot == 3: + g = gender # units depend on the following noun + else: + g = "masc" # millions etc are masculine + # "mil" is feminine + if gr > 1 or pot == 3: + words = self.hundred_group( + gr, + informal=informal, + gender=g, + ordinal=ordinal and (lowestgroup == gr), + ) + result += words + # print(">>>> ", words) + if pot > 3: + result.append(MILLION_WORDS[pot - 3]) + if raw: + # need to be able trigger correct mutation on currencies + return result + else: + if number < 100: + return makestring(result, counted=counted) + else: + if counted: + result.extend([("o", "SM"), (counted, None)]) + return makestring(result) + + def to_currency( + self, val, currency="EUR", cents=True, separator=",", adjective=False + ): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' + % (currency, self.__class__.__name__) + ) + + # if adjective and currency in self.CURRENCY_ADJECTIVES: + # cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + cents_str = ( + self._cents_verbose(right, currency) + if cents + else self._cents_terse(right, currency) + ) + + if right == 0: + # no pence + return "%s%s" % ( + minus_str, + money_str, + # self.pluralize(right, cr2) + ) + elif left == 0: + # no pounds + return "%s%s" % ( + minus_str, + cents_str, + # self.pluralize(right, cr2) + ) + + return "%s%s%s %s" % ( + minus_str, + money_str, + # self.pluralize(left, cr1), + separator, + cents_str, + # self.pluralize(right, cr2) + ) + + def _money_verbose(self, number, currency): + # used in super().to_currency(), we need to add gender + # here for feminine currencies + # if currency in CURRENCIES_FEM: # always true in this context + if number > 100: + m = self.to_cardinal(number, gender="fem", raw=True) + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][0][1] + m.append(("o", "SM")) + m.append((c, None)) + # else: + # c = currency + # m.append((c, None)) + return makestring(m) + else: + # if number > 1: + m = self.to_cardinal(number, gender="fem", raw=True) + # elif number == 0: + # m = self.to_cardinal(number, gender="fem", raw=True) + # else: + # m = [(OBJ, None)] + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][0][0] + # else: + # c = currency + # print("eeeeeeeee", m) + # m.append((c, None)) + # print("fffffffff", m) + return makestring(m, counted=c) + # else: + # return self.to_cardinal(number, raw=True) + + def _cents_verbose(self, number, currency): + if number == 0: + return "" + # elif number > 100: + # m = self.to_cardinal(number, raw=True) + # # if currency in self.CURRENCY_FORMS: + # c = self.CURRENCY_FORMS[currency][0][1] + # m.append(("o", "SM")) + # m.append((c, None)) + # # else: + # # c = currency + # # m.append((c, None)) + # return makestring(m) + else: + if number > 1: + m = self.to_cardinal(number, raw=True) + else: + m = [(OBJ, None)] + # if currency in self.CURRENCY_FORMS: + c = self.CURRENCY_FORMS[currency][1][0] + # else: + # c = currency + return makestring(m, counted=c) + + +def makestring(result, counted=None): + # concatenate numberwords with correct mutation + out = [] + lastmut = None + for w, mut in result: + if w == OBJ: + if not counted: + continue + else: + w = counted + counted = None # only first position + if lastmut: + out.append(mutate(w, lastmut)) + else: + out.append(w) + lastmut = mut + return " ".join(out) + + +def mutate(word, mutation): + # print("uuu", word, mutation) + if mutation == "SM": + return softmutation(word) + elif mutation == "AM": + return aspiratedmutation(word) + # return word # does not occur + + +def softmutation(word): + # print("SM<<<<%s>" % word) + if word[0] == "p" and word[1] != "h": + return "b" + word[1:] + elif word[0] == "t" and word[1] != "h": + return "d" + word[1:] + elif word[0] == "c" and word[1] != "h": + return "g" + word[1:] + elif word[0] == "b" or word[0] == "m": + return "f" + word[1:] + elif word[0] == "d" and word[1] != "d": + return "d" + word + elif word.startswith("ll"): + return word[1:] + elif word.startswith("rh"): + return "r" + word[2:] + elif word == "ugain": + return "hugain" + else: + return word + + +def aspiratedmutation(word): + if word[0] == "p" and word[1] != "h": + return "ph" + word[1:] + elif word[0] == "t" and word[1] != "h": + return "th" + word[1:] + elif word[0] == "c" and word[1] != "h": + return "ch" + word[1:] + else: + return word diff --git a/ext/py/num2words/num2words/lang_DA.py b/ext/py/num2words/num2words/lang_DA.py new file mode 100644 index 0000000..c660738 --- /dev/null +++ b/ext/py/num2words/num2words/lang_DA.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_DA(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illiarder" + MEGA_SUFFIX = "illioner" + + def setup(self): + super(Num2Word_DA, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["og", "komma", "minus"] + + self.mid_numwords = [(1000, "tusind"), (100, "hundrede"), + (90, "halvfems"), (80, "firs"), + (70, "halvfjerds"), (60, "treds"), + (50, "halvtreds"), (40, "fyrre"), (30, "tredive")] + self.low_numwords = ["tyve", "nitten", "atten", "sytten", + "seksten", "femten", "fjorten", "tretten", + "tolv", "elleve", "ti", "ni", "otte", + "syv", "seks", "fem", "fire", "tre", "to", + "et", "nul"] + self.ords = {"nul": "nul", + "et": "f\xf8rste", + "to": "anden", + "tre": "tredje", + "fire": "fjerde", + "fem": "femte", + "seks": "sjette", + "syv": "syvende", + "otte": "ottende", + "ni": "niende", + "ti": "tiende", + "elleve": "ellevte", + "tolv": "tolvte", + "tretten": "trett", + "fjorten": "fjort", + "femten": "femt", + "seksten": "sekst", + "sytten": "sytt", + "atten": "att", + "nitten": "nitt", + "tyve": "tyv"} + self.ordflag = False + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if next[1] == 100 or next[1] == 1000: + lst = list(next) + lst[0] = 'et' + lst[0] + next = tuple(lst) + + if cnum == 1: + if nnum < 10 ** 6 or self.ordflag: + return next + ctext = "en" + if nnum > cnum: + if nnum >= 10 ** 6: + ctext += " " + val = cnum * nnum + else: + if cnum >= 100 and cnum < 1000: + ctext += " og " + elif cnum >= 1000 and cnum <= 100000: + ctext += "e og " + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "en" + ntext, ctext = ctext, ntext + "og" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + self.ordflag = True + outword = self.to_cardinal(value) + self.ordflag = False + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + if value % 100 >= 30 and value % 100 <= 39 or value % 100 == 0: + outword += "te" + elif value % 100 > 12 or value % 100 == 0: + outword += "ende" + return outword + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + vaerdte = (0, 1, 5, 6, 11, 12) + if value % 100 >= 30 and value % 100 <= 39 or value % 100 in vaerdte: + return str(value) + "te" + elif value % 100 == 2: + return str(value) + "en" + return str(value) + "ende" + + def to_currency(self, val, longval=True): + if val // 100 == 1 or val == 1: + ret = self.to_splitnum(val, hightxt="kr", lowtxt="\xf8re", + jointxt="og", longval=longval) + return "en " + ret[3:] + return self.to_splitnum(val, hightxt="kr", lowtxt="\xf8re", + jointxt="og", longval=longval) + + def to_year(self, val, longval=True): + if val == 1: + return 'en' + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundrede", longval=longval) diff --git a/ext/py/num2words/num2words/lang_DE.py b/ext/py/num2words/num2words/lang_DE.py new file mode 100644 index 0000000..ad61b18 --- /dev/null +++ b/ext/py/num2words/num2words/lang_DE.py @@ -0,0 +1,157 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +import re + +from .lang_EU import Num2Word_EU + + +class Num2Word_DE(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('Euro', 'Euro'), ('Cent', 'Cent')), + 'GBP': (('Pfund', 'Pfund'), ('Penny', 'Pence')), + 'USD': (('Dollar', 'Dollar'), ('Cent', 'Cent')), + 'CNY': (('Yuan', 'Yuan'), ('Jiao', 'Fen')), + 'DEM': (('Mark', 'Mark'), ('Pfennig', 'Pfennig')), + } + + GIGA_SUFFIX = "illiarde" + MEGA_SUFFIX = "illion" + + def setup(self): + self.negword = "minus " + self.pointword = "Komma" + # "Cannot treat float %s as ordinal." + self.errmsg_floatord = ( + "Die Gleitkommazahl %s kann nicht in eine Ordnungszahl " + + "konvertiert werden." + ) + # "type(((type(%s)) ) not in [long, int, float]" + self.errmsg_nonnum = ( + "Nur Zahlen (type(%s)) können in Wörter konvertiert werden." + ) + # "Cannot treat negative num %s as ordinal." + self.errmsg_negord = ( + "Die negative Zahl %s kann nicht in eine Ordnungszahl " + + "konvertiert werden." + ) + # "abs(%s) must be less than %s." + self.errmsg_toobig = "Die Zahl %s muss kleiner als %s sein." + self.exclude_title = [] + + lows = ["Non", "Okt", "Sept", "Sext", "Quint", "Quadr", "Tr", "B", "M"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "okto", "novem"] + tens = ["dez", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "oktogint", "nonagint"] + self.high_numwords = ( + ["zent"] + self.gen_high_numwords(units, tens, lows) + ) + self.mid_numwords = [(1000, "tausend"), (100, "hundert"), + (90, "neunzig"), (80, "achtzig"), (70, "siebzig"), + (60, "sechzig"), (50, "f\xFCnfzig"), + (40, "vierzig"), (30, "drei\xDFig")] + self.low_numwords = ["zwanzig", "neunzehn", "achtzehn", "siebzehn", + "sechzehn", "f\xFCnfzehn", "vierzehn", "dreizehn", + "zw\xF6lf", "elf", "zehn", "neun", "acht", + "sieben", "sechs", "f\xFCnf", "vier", "drei", + "zwei", "eins", "null"] + self.ords = {"eins": "ers", + "drei": "drit", + "acht": "ach", + "sieben": "sieb", + "ig": "igs", + "ert": "erts", + "end": "ends", + "ion": "ions", + "nen": "ns", + "rde": "rds", + "rden": "rds"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum == 100 or nnum == 1000: + return ("ein" + ntext, nnum) + elif nnum < 10 ** 6: + return next + ctext = "eine" + + if nnum > cnum: + if nnum >= 10 ** 6: + if cnum > 1: + if ntext.endswith("e"): + ntext += "n" + else: + ntext += "en" + ctext += " " + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "ein" + ntext, ctext = ctext, ntext + "und" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value).lower() + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + + res = outword + "te" + + # Exception: "hundertste" is usually preferred over "einhundertste" + if res == "eintausendste" or res == "einhundertste": + res = res.replace("ein", "", 1) + # ... similarly for "millionste" etc. + res = re.sub(r'eine ([a-z]+(illion|illiard)ste)$', + lambda m: m.group(1), res) + # Ordinals involving "Million" etc. are written without a space. + # see https://de.wikipedia.org/wiki/Million#Sprachliches + res = re.sub(r' ([a-z]+(illion|illiard)ste)$', + lambda m: m.group(1), res) + + return res + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_currency(self, val, currency='EUR', cents=True, separator=' und', + adjective=False): + result = super(Num2Word_DE, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception, in german is "ein Euro" and not "eins Euro" + return result.replace("eins ", "ein ") + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundert", longval=longval)\ + .replace(' ', '') diff --git a/ext/py/num2words/num2words/lang_EN.py b/ext/py/num2words/num2words/lang_EN.py new file mode 100644 index 0000000..87ce02e --- /dev/null +++ b/ext/py/num2words/num2words/lang_EN.py @@ -0,0 +1,110 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_EN(lang_EU.Num2Word_EU): + def set_high_numwords(self, high): + max = 3 + 3 * len(high) + for word, n in zip(high, range(max, 3, -3)): + self.cards[10 ** n] = word + "illion" + + def setup(self): + super(Num2Word_EN, self).setup() + + self.negword = "minus " + self.pointword = "point" + self.exclude_title = ["and", "point", "minus"] + + self.mid_numwords = [(1000, "thousand"), (100, "hundred"), + (90, "ninety"), (80, "eighty"), (70, "seventy"), + (60, "sixty"), (50, "fifty"), (40, "forty"), + (30, "thirty")] + self.low_numwords = ["twenty", "nineteen", "eighteen", "seventeen", + "sixteen", "fifteen", "fourteen", "thirteen", + "twelve", "eleven", "ten", "nine", "eight", + "seven", "six", "five", "four", "three", "two", + "one", "zero"] + self.ords = {"one": "first", + "two": "second", + "three": "third", + "four": "fourth", + "five": "fifth", + "six": "sixth", + "seven": "seventh", + "eight": "eighth", + "nine": "ninth", + "ten": "tenth", + "eleven": "eleventh", + "twelve": "twelfth"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s and %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s, %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(" ") + lastwords = outwords[-1].split("-") + lastword = lastwords[-1].lower() + try: + lastword = self.ords[lastword] + except KeyError: + if lastword[-1] == "y": + lastword = lastword[:-1] + "ie" + lastword += "th" + lastwords[-1] = self.title(lastword) + outwords[-1] = "-".join(lastwords) + return " ".join(outwords) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-2:]) + + def to_year(self, val, suffix=None, longval=True): + if val < 0: + val = abs(val) + suffix = 'BC' if not suffix else suffix + high, low = (val // 100, val % 100) + # If year is 00XX, X00X, or beyond 9999, go cardinal. + if (high == 0 + or (high % 10 == 0 and low < 10) + or high >= 100): + valtext = self.to_cardinal(val) + else: + hightext = self.to_cardinal(high) + if low == 0: + lowtext = "hundred" + elif low < 10: + lowtext = "oh-%s" % self.to_cardinal(low) + else: + lowtext = self.to_cardinal(low) + valtext = "%s %s" % (hightext, lowtext) + return (valtext if not suffix + else "%s %s" % (valtext, suffix)) diff --git a/ext/py/num2words/num2words/lang_EN_IN.py b/ext/py/num2words/num2words/lang_EN_IN.py new file mode 100644 index 0000000..3ef55ba --- /dev/null +++ b/ext/py/num2words/num2words/lang_EN_IN.py @@ -0,0 +1,26 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EN import Num2Word_EN + + +class Num2Word_EN_IN(Num2Word_EN): + def set_high_numwords(self, high): + self.cards[10 ** 7] = "crore" + self.cards[10 ** 5] = "lakh" diff --git a/ext/py/num2words/num2words/lang_EN_NG.py b/ext/py/num2words/num2words/lang_EN_NG.py new file mode 100644 index 0000000..7de81c8 --- /dev/null +++ b/ext/py/num2words/num2words/lang_EN_NG.py @@ -0,0 +1,37 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from . import lang_EN + + +class Num2Word_EN_NG(lang_EN.Num2Word_EN): + + CURRENCY_FORMS = {'NGN': (('naira', 'naira'), ('kobo', 'kobo'))} + + CURRENCY_ADJECTIVES = {'NGN': 'Nigerian'} + + def to_currency( + self, val, currency='NGN', + kobo=True, separator=',', + adjective=False + ): + result = super(Num2Word_EN_NG, self).to_currency( + val, currency=currency, cents=kobo, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/num2words/lang_EO.py b/ext/py/num2words/num2words/lang_EO.py new file mode 100644 index 0000000..ff47e69 --- /dev/null +++ b/ext/py/num2words/num2words/lang_EO.py @@ -0,0 +1,130 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2021, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_EO(Num2Word_Base): + CURRENCY_FORMS = { + "EUR": (("eŭro", "eŭroj"), ("centimo", "centimoj")), + "USD": (("dolaro", "dolaroj"), ("cendo", "cendoj")), + "FRF": (("franko", "frankoj"), ("centimo", "centimoj")), + "GBP": (("pundo", "pundoj"), ("penco", "pencoj")), + "CNY": (("juano", "juanoj"), ("feno", "fenoj")), + } + + GIGA_SUFFIX = "iliardo" + MEGA_SUFFIX = "iliono" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def gen_high_numwords(self, units, tens, lows): + out = [u + t for t in tens for u in units] + out.reverse() + return out + lows + + def setup(self): + lows = ["naŭ", "ok", "sep", "ses", "kvin", "kvar", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "kvatuor", + "kvin", "seks", "septen", "okto", "novem"] + tens = ["dek", "vigint", "trigint", "kvadragint", "kvinkvagint", + "seksagint", "septuagint", "oktogint", "nonagint"] + + self.high_numwords = ["cent"] + self.gen_high_numwords(units, tens, + lows) + + self.negword = "minus " + self.pointword = "komo" + self.errmsg_nonnum = u"Sole nombroj povas esti konvertita en vortojn." + self.errmsg_toobig = ( + u"Tro granda nombro por esti konvertita en vortojn (abs(%s) > %s)." + ) + self.exclude_title = ["kaj", "komo", "minus"] + self.mid_numwords = [(1000, "mil"), (100, "cent"), (90, "naŭdek"), + (80, "okdek"), (70, "sepdek"), (60, "sesdek"), + (50, "kvindek"), (40, "kvardek"), (30, "tridek")] + self.low_numwords = ["dudek", "dek naŭ", "dek ok", "dek sep", + "dek ses", "dek kvin", "dek kvar", "dek tri", + "dek du", "dek unu", "dek", "naŭ", "ok", "sep", + "ses", "kvin", "kvar", "tri", "du", "unu", "nul"] + self.ords = { + "unu": "unua", + "du": "dua", + "tri": "tria", + "kvar": "kvara", + "kvin": "kvina", + "ses": "sesa", + "sep": "sepa", + "ok": "oka", + "naŭ": "naŭa", + "dek": "deka" + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + if cnum == 1 and nnum < 1000000: + return next + + if nnum >= 10**6 and cnum > 1: + return ("%s %sj" % (ctext, ntext), cnum + nnum) + + if nnum == 100: + return ("%s%s" % (ctext, ntext), cnum + nnum) + + return ("%s %s" % (ctext, ntext), cnum + nnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + word = self.to_cardinal(value) + for src, repl in self.ords.items(): + if word.endswith(src): + word = word[:-len(src)] + repl + return word + + if word.endswith("o"): + word = word[:-1] + "a" + elif word.endswith("oj"): + word = word[:-2] + "a" + else: + word = word + "a" + return word + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + out = str(value) + out += "a" + return out + + def to_currency(self, val, currency="EUR", cents=True, separator=" kaj", + adjective=False): + result = super(Num2Word_EO, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result + + def pluralize(self, n, forms): + form = 0 if n <= 1 else 1 + return forms[form] diff --git a/ext/py/num2words/num2words/lang_ES.py b/ext/py/num2words/num2words/lang_ES.py new file mode 100644 index 0000000..ce1c9f8 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES.py @@ -0,0 +1,416 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +import math + +from .lang_EU import Num2Word_EU + +GENERIC_DOLLARS = ('dólar', 'dólares') +GENERIC_CENTS = ('centavo', 'centavos') +CURRENCIES_UNA = ('SLL', 'SEK', 'NOK', 'CZK', 'DKK', 'ISK', + 'SKK', 'GBP', 'CYP', 'EGP', 'FKP', 'GIP', + 'LBP', 'SDG', 'SHP', 'SSP', 'SYP', 'INR', + 'IDR', 'LKR', 'MUR', 'NPR', 'PKR', 'SCR', + 'ESP', 'TRY', 'ITL') +CENTS_UNA = ('EGP', 'JOD', 'LBP', 'SDG', 'SSP', 'SYP') + + +class Num2Word_ES(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('céntimo', 'céntimos')), + 'ESP': (('peseta', 'pesetas'), ('céntimo', 'céntimos')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'PEN': (('sol', 'soles'), ('céntimo', 'céntimos')), + 'CRC': (('colón', 'colones'), GENERIC_CENTS), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('libra', 'libras'), ('penique', 'peniques')), + 'RUB': (('rublo', 'rublos'), ('kopeyka', 'kopeykas')), + 'SEK': (('corona', 'coronas'), ('öre', 'öre')), + 'NOK': (('corona', 'coronas'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'leus'), ('ban', 'bani')), + 'INR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'HUF': (('florín', 'florines'), ('fillér', 'fillér')), + 'FRF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'CNY': (('yuan', 'yuanes'), ('fen', 'jiaos')), + 'CZK': (('corona', 'coronas'), ('haléř', 'haléř')), + 'NIO': (('córdoba', 'córdobas'), GENERIC_CENTS), + 'VES': (('bolívar', 'bolívares'), ('céntimo', 'céntimos')), + 'BRL': (('real', 'reales'), GENERIC_CENTS), + 'CHF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'JPY': (('yen', 'yenes'), ('sen', 'sen')), + 'KRW': (('won', 'wones'), ('jeon', 'jeon')), + 'KPW': (('won', 'wones'), ('chon', 'chon')), + 'TRY': (('lira', 'liras'), ('kuruş', 'kuruş')), + 'ZAR': (('rand', 'rands'), ('céntimo', 'céntimos')), + 'KZT': (('tenge', 'tenges'), ('tïın', 'tïın')), + 'UAH': (('hryvnia', 'hryvnias'), ('kopiyka', 'kopiykas')), + 'THB': (('baht', 'bahts'), ('satang', 'satang')), + 'AED': (('dirham', 'dirhams'), ('fils', 'fils')), + 'AFN': (('afghani', 'afghanis'), ('pul', 'puls')), + 'ALL': (('lek ', 'leke'), ('qindarkë', 'qindarka')), + 'AMD': (('dram', 'drams'), ('luma', 'lumas')), + 'ANG': (('florín', 'florines'), GENERIC_CENTS), + 'AOA': (('kwanza', 'kwanzas'), ('céntimo', 'céntimos')), + 'ARS': (('peso', 'pesos'), GENERIC_CENTS), + 'AWG': (('florín', 'florines'), GENERIC_CENTS), + 'AZN': (('manat', 'manat'), ('qəpik', 'qəpik')), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': (('taka', 'takas'), ('paisa', 'paisas')), + 'BGN': (('lev', 'leva'), ('stotinka', 'stotinki')), + 'BHD': (('dinar', 'dinares'), ('fils', 'fils')), + 'BIF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': (('boliviano', 'bolivianos'), GENERIC_CENTS), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': (('ngultrum', 'ngultrum'), ('chetrum', 'chetrum')), + 'BWP': (('pula', 'pulas'), ('thebe', 'thebes')), + 'BYN': (('rublo', 'rublos'), ('kópek', 'kópeks')), + 'BYR': (('rublo', 'rublos'), ('kópek', 'kópeks')), + 'BZD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'CDF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'CLP': (('peso', 'pesos'), GENERIC_CENTS), + 'COP': (('peso', 'pesos'), GENERIC_CENTS), + 'CUP': (('peso', 'pesos'), GENERIC_CENTS), + 'CVE': (('escudo', 'escudos'), GENERIC_CENTS), + 'CYP': (('libra', 'libras'), ('céntimo', 'céntimos')), + 'DJF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'DKK': (('corona', 'coronas'), ('øre', 'øre')), + 'DOP': (('peso', 'pesos'), GENERIC_CENTS), + 'DZD': (('dinar', 'dinares'), ('céntimo', 'céntimos')), + 'ECS': (('sucre', 'sucres'), GENERIC_CENTS), + 'EGP': (('libra', 'libras'), ('piastra', 'piastras')), + 'ERN': (('nakfa', 'nakfas'), ('céntimo', 'céntimos')), + 'ETB': (('birr', 'birrs'), ('céntimo', 'céntimos')), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': (('libra', 'libras'), ('penique', 'peniques')), + 'GEL': (('lari', 'laris'), ('tetri', 'tetris')), + 'GHS': (('cedi', 'cedis'), ('pesewa', 'pesewas')), + 'GIP': (('libra', 'libras'), ('penique', 'peniques')), + 'GMD': (('dalasi', 'dalasis'), ('butut', 'bututs')), + 'GNF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'GTQ': (('quetzal', 'quetzales'), GENERIC_CENTS), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': (('lempira', 'lempiras'), GENERIC_CENTS), + 'HRK': (('kuna', 'kunas'), ('lipa', 'lipas')), + 'HTG': (('gourde', 'gourdes'), ('céntimo', 'céntimos')), + 'IDR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'ILS': (('séquel', 'séqueles'), ('agora', 'agoras')), + 'IQD': (('dinar', 'dinares'), ('fils', 'fils')), + 'IRR': (('rial', 'riales'), ('dinar', 'dinares')), + 'ISK': (('corona', 'coronas'), ('eyrir', 'aurar')), + 'ITL': (('lira', 'liras'), ('céntimo', 'céntimos')), + 'JMD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'JOD': (('dinar', 'dinares'), ('piastra', 'piastras')), + 'KES': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'KGS': (('som', 'som'), ('tyiyn', 'tyiyn')), + 'KHR': (('riel', 'rieles'), ('céntimo', 'céntimos')), + 'KMF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'KWD': (('dinar', 'dinares'), ('fils', 'fils')), + 'KYD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'LAK': (('kip', 'kips'), ('att', 'att')), + 'LBP': (('libra', 'libras'), ('piastra', 'piastras')), + 'LKR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'LRD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'LSL': (('loti', 'lotis'), ('céntimo', 'céntimos')), + 'LTL': (('lita', 'litas'), ('céntimo', 'céntimos')), + 'LVL': (('lat', 'lats'), ('céntimo', 'céntimos')), + 'LYD': (('dinar', 'dinares'), ('dírham', 'dírhams')), + 'MAD': (('dírham', 'dirhams'), ('céntimo', 'céntimos')), + 'MDL': (('leu', 'lei'), ('ban', 'bani')), + 'MGA': (('ariary', 'ariaris'), ('iraimbilanja', 'iraimbilanja')), + 'MKD': (('denar', 'denares'), ('deni', 'denis')), + 'MMK': (('kiat', 'kiats'), ('pya', 'pyas')), + 'MNT': (('tugrik', 'tugriks'), ('möngö', 'möngö')), + 'MOP': (('pataca', 'patacas'), ('avo', 'avos')), + 'MRO': (('ouguiya', 'ouguiyas'), ('khoums', 'khoums')), + 'MRU': (('ouguiya', 'ouguiyas'), ('khoums', 'khoums')), + 'MUR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'MVR': (('rufiyaa', 'rufiyaas'), ('laari', 'laari')), + 'MWK': (('kuacha', 'kuachas'), ('tambala', 'tambalas')), + 'MYR': (('ringgit', 'ringgit'), ('céntimo', 'céntimos')), + 'MZN': (('metical', 'metical'), GENERIC_CENTS), + 'NAD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'NGN': (('naira', 'nairas'), ('kobo', 'kobo')), + 'NPR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': (('rial', 'riales'), ('baisa', 'baisa')), + 'PAB': (('balboa', 'balboas'), ('centésimo', 'centésimos')), + 'PGK': (('kina', 'kinas'), ('toea', 'toea')), + 'PHP': (('peso', 'pesos'), GENERIC_CENTS), + 'PKR': (('rupia', 'rupias'), ('paisa', 'paisas')), + 'PLZ': (('zloty', 'zlotys'), ('grosz', 'groszy')), + 'PYG': (('guaraní', 'guaranís'), ('céntimo', 'céntimos')), + 'QAR': (('rial', 'riales'), ('dírham', 'dírhams')), + 'QTQ': (('quetzal', 'quetzales'), GENERIC_CENTS), + 'RSD': (('dinar', 'dinares'), ('para', 'para')), + 'RUR': (('rublo', 'rublos'), ('kopek', 'kopeks')), + 'RWF': (('franco', 'francos'), ('céntimo', 'céntimos')), + 'SAR': (('riyal', 'riales'), ('halala', 'halalas')), + 'SBD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SCR': (('rupia', 'rupias'), ('céntimo', 'céntimos')), + 'SDG': (('libra', 'libras'), ('piastra', 'piastras')), + 'SGD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SHP': (('libra', 'libras'), ('penique', 'peniques')), + 'SKK': (('corona', 'coronas'), ('halier', 'haliers')), + 'SLL': (('leona', 'leonas'), ('céntimo', 'céntimos')), + 'SRD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'SSP': (('libra', 'libras'), ('piastra', 'piastras')), + 'STD': (('dobra', 'dobras'), ('céntimo', 'céntimos')), + 'SVC': (('colón', 'colones'), GENERIC_CENTS), + 'SYP': (('libra', 'libras'), ('piastra', 'piastras')), + 'SZL': (('lilangeni', 'emalangeni'), ('céntimo', 'céntimos')), + 'TJS': (('somoni', 'somonis'), ('dirame', 'dirames')), + 'TMT': (('manat', 'manat'), ('tenge', 'tenge')), + 'TND': (('dinar', 'dinares'), ('milésimo', 'milésimos')), + 'TOP': (('paanga', 'paangas'), ('céntimo', 'céntimos')), + 'TTD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'TWD': (('nuevo dólar', 'nuevos dólares'), ('céntimo', 'céntimos')), + 'TZS': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'UAG': (('hryvnia', 'hryvnias'), ('kopiyka', 'kopiykas')), + 'UGX': (('chelín', 'chelines'), ('céntimo', 'céntimos')), + 'UYU': (('peso', 'pesos'), ('centésimo', 'centésimos')), + 'UZS': (('sum', 'sum'), ('tiyin', 'tiyin')), + 'VEF': (('bolívar fuerte', 'bolívares fuertes'), + ('céntimo', 'céntimos')), + 'VND': (('dong', 'dongs'), ('xu', 'xu')), + 'VUV': (('vatu', 'vatu'), ('nenhum', 'nenhum')), + 'WST': (('tala', 'tala'), GENERIC_CENTS), + 'XAF': (('franco CFA', 'francos CFA'), ('céntimo', 'céntimos')), + 'XCD': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'XOF': (('franco CFA', 'francos CFA'), ('céntimo', 'céntimos')), + 'XPF': (('franco CFP', 'francos CFP'), ('céntimo', 'céntimos')), + 'YER': (('rial', 'riales'), ('fils', 'fils')), + 'YUM': (('dinar', 'dinares'), ('para', 'para')), + 'ZMW': (('kwacha', 'kwachas'), ('ngwee', 'ngwee')), + 'ZRZ': (('zaire', 'zaires'), ('likuta', 'makuta')), + 'ZWL': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + 'ZWL': (GENERIC_DOLLARS, ('céntimo', 'céntimos')), + } + + # //CHECK: Is this sufficient?? + GIGA_SUFFIX = None + MEGA_SUFFIX = "illón" + + def setup(self): + lows = ["cuatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menos " + self.pointword = "punto" + self.errmsg_nonnum = "type(%s) no es [long, int, float]" + self.errmsg_floatord = "El float %s no puede ser tratado como un" \ + " ordinal." + self.errmsg_negord = "El número negativo %s no puede ser tratado" \ + " como un ordinal." + self.errmsg_toobig = ( + "abs(%s) deber ser inferior a %s." + ) + self.gender_stem = "o" + self.exclude_title = ["y", "menos", "punto"] + self.mid_numwords = [(1000, "mil"), (100, "cien"), (90, "noventa"), + (80, "ochenta"), (70, "setenta"), (60, "sesenta"), + (50, "cincuenta"), (40, "cuarenta"), + (30, "treinta")] + self.low_numwords = ["veintinueve", "veintiocho", "veintisiete", + "veintiséis", "veinticinco", "veinticuatro", + "veintitrés", "veintidós", "veintiuno", + "veinte", "diecinueve", "dieciocho", "diecisiete", + "dieciséis", "quince", "catorce", "trece", "doce", + "once", "diez", "nueve", "ocho", "siete", "seis", + "cinco", "cuatro", "tres", "dos", "uno", "cero"] + self.ords = {1: "primer", + 2: "segund", + 3: "tercer", + 4: "cuart", + 5: "quint", + 6: "sext", + 7: "séptim", + 8: "octav", + 9: "noven", + 10: "décim", + 20: "vigésim", + 30: "trigésim", + 40: "cuadragésim", + 50: "quincuagésim", + 60: "sexagésim", + 70: "septuagésim", + 80: "octogésim", + 90: "nonagésim", + 100: "centésim", + 200: "ducentésim", + 300: "tricentésim", + 400: "cuadrigentésim", + 500: "quingentésim", + 600: "sexcentésim", + 700: "septigentésim", + 800: "octigentésim", + 900: "noningentésim", + 1e3: "milésim", + 1e6: "millonésim", + 1e9: "billonésim", + 1e12: "trillonésim", + 1e15: "cuadrillonésim"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "un" + elif cnum == 100 and not nnum % 1000 == 0: + ctext += "t" + self.gender_stem + + if nnum < cnum: + if cnum < 100: + return "%s y %s" % (ctext, ntext), cnum + nnum + return "%s %s" % (ctext, ntext), cnum + nnum + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-3] + "lones" + + if nnum == 100: + if cnum == 5: + ctext = "quinien" + ntext = "" + elif cnum == 7: + ctext = "sete" + elif cnum == 9: + ctext = "nove" + ntext += "t" + self.gender_stem + "s" + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_ordinal(self, value, gender='m'): + gender_stem = 'a' if gender == 'f' else 'o' + + self.verify_ordinal(value) + if value == 0: + text = "" + elif value <= 10: + text = "%s%s" % (self.ords[value], gender_stem) + # According to RAE recommendations, simple forms are preferred up to 30 + # Ortography for sobreesdrújulas + elif value <= 29: + gender_stem = 'o' + dec = (value // 10) * 10 + text = ( + "%s%s%s" % (self.ords[dec].replace('é', 'e'), gender_stem, + self.to_ordinal(value % 10, gender)) + ) + elif value <= 100: + dec = (value // 10) * 10 + text = ( + "%s%s %s" % (self.ords[dec], gender_stem, + self.to_ordinal(value - dec, gender)) + ) + elif value <= 1e3: + cen = (value // 100) * 100 + text = ( + "%s%s %s" % (self.ords[cen], gender_stem, + self.to_ordinal(value - cen, gender)) + ) + elif value < 1e18: + # Round down to the nearest 1e(3n) + # dec contains the following: + # [ 1e3, 1e6): 1e3 + # [ 1e6, 1e9): 1e6 + # [ 1e9, 1e12): 1e9 + # [1e12, 1e15): 1e12 + # [1e15, 1e18): 1e15 + dec = 1000 ** int(math.log(int(value), 1000)) + + # Split the parts before and after the word for 'dec' + # eg (12, 345) = divmod(12_345, 1_000) + high_part, low_part = divmod(value, dec) + + cardinal = self.to_cardinal(high_part) if high_part != 1 else "" + text = ( + "%s%s%s %s" % (cardinal, self.ords[dec], gender_stem, + self.to_ordinal(low_part, gender=gender)) + ) + else: + text = self.to_cardinal(value) + # Handle exception: it's not "decimooctavo" but "decimoctavo" + return text.strip().replace('oo', 'o') + + def to_ordinal_num(self, value, gender='m'): + gender_stem = 'a' if gender == 'f' else 'o' + self.verify_ordinal(value) + return "%s%s" % (value, "º" if gender_stem == 'o' else "ª") + + def to_currency(self, val, currency='EUR', cents=True, separator=' con', + adjective=False): + result = super(Num2Word_ES, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception: In Spanish it's "un euro" and not "uno euro", + # except in these currencies, where it's "una": leona, corona, + # libra, lira, rupia, lempira, peseta. + # The same goes for "veintiuna", "treinta y una"... + # Also, this needs to be handled separately for "dollars" and + # "cents". + # All "cents" are masculine except for: piastra. + # Source: https://www.rae.es/dpd/una (section 2.2) + + # split "dollars" part from "cents" part + list_result = result.split(separator + " ") + + # "DOLLARS" PART (list_result[0]) + + # Feminine currencies ("una libra", "trescientas libras"...) + if currency in CURRENCIES_UNA: + + # "una libra", "veintiuna libras", "treinta y una libras"... + list_result[0] = list_result[0].replace("uno", "una") + + # "doscientas libras", "trescientas libras"... + list_result[0] = list_result[0].replace("cientos", "cientas") + + # Masc.: Correct orthography for the specific case of "veintiún": + list_result[0] = list_result[0].replace("veintiuno", "veintiún") + + # Masculine currencies: general case ("un euro", "treinta y un + # euros"...): + list_result[0] = list_result[0].replace("uno", "un") + + # "CENTS" PART (list_result[1]) + + # Feminine "cents" ("una piastra", "veintiuna piastras"...) + if currency in CENTS_UNA: + + # "una piastra", "veintiuna piastras", "treinta y una piastras"... + list_result[1] = list_result[1].replace("uno", "una") + + # Masc.: Correct orthography for the specific case of "veintiún": + list_result[1] = list_result[1].replace("veintiuno", "veintiún") + + # Masculine "cents": general case ("un centavo", "treinta y un + # centavos"...): + list_result[1] = list_result[1].replace("uno", "un") + + # join back "dollars" part with "cents" part + result = (separator + " ").join(list_result) + + return result diff --git a/ext/py/num2words/num2words/lang_ES_CO.py b/ext/py/num2words/num2words/lang_ES_CO.py new file mode 100644 index 0000000..955ac7e --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES_CO.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_CO(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="peso/s", lowtxt="centavo/s", + divisor=1, jointxt="y", longval=longval) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/num2words/lang_ES_CR.py b/ext/py/num2words/num2words/lang_ES_CR.py new file mode 100644 index 0000000..ee1d444 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES_CR.py @@ -0,0 +1,30 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2024, Randall Castro. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_CR(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="colón/es", lowtxt="céntimo/s", + divisor=1, jointxt="y", longval=longval) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/num2words/lang_ES_GT.py b/ext/py/num2words/num2words/lang_ES_GT.py new file mode 100644 index 0000000..9bc4c75 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES_GT.py @@ -0,0 +1,32 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_GT(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + result = self.to_splitnum(val, hightxt="quetzal/es", + lowtxt="centavo/s", + divisor=1, jointxt="y", + longval=longval) + # Handle exception, in spanish is "un euro" + # and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/num2words/lang_ES_NI.py b/ext/py/num2words/num2words/lang_ES_NI.py new file mode 100644 index 0000000..9e5f9e8 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES_NI.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_NI(Num2Word_ES): + CURRENCY_FORMS = { + 'NIO': (('córdoba', 'córdobas'), ('centavo', 'centavos')), + } + + def to_currency(self, val, currency='NIO', cents=True, separator=' con', + adjective=False): + result = super(Num2Word_ES, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result.replace("uno", "un") diff --git a/ext/py/num2words/num2words/lang_ES_VE.py b/ext/py/num2words/num2words/lang_ES_VE.py new file mode 100644 index 0000000..54100a0 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ES_VE.py @@ -0,0 +1,32 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_ES import Num2Word_ES + + +class Num2Word_ES_VE(Num2Word_ES): + + def to_currency(self, val, longval=True, old=False): + hightxt = "bolívar/es" if old else "bolívar/es fuerte/s" + result = self.to_splitnum( + val, hightxt=hightxt, lowtxt="centavo/s", + divisor=1, jointxt="y", longval=longval + ) + # Handle exception, in spanish is "un euro" and not "uno euro" + return result.replace("uno", "un") diff --git a/ext/py/num2words/num2words/lang_EU.py b/ext/py/num2words/num2words/lang_EU.py new file mode 100644 index 0000000..8579fb6 --- /dev/null +++ b/ext/py/num2words/num2words/lang_EU.py @@ -0,0 +1,104 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + +GENERIC_DOLLARS = ('dollar', 'dollars') +GENERIC_CENTS = ('cent', 'cents') + + +class Num2Word_EU(Num2Word_Base): + CURRENCY_FORMS = { + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BYN': (('rouble', 'roubles'), ('kopek', 'kopeks')), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + # repalced by EUR + 'EEK': (('kroon', 'kroons'), ('sent', 'senti')), + 'EUR': (('euro', 'euro'), GENERIC_CENTS), + 'GBP': (('pound sterling', 'pounds sterling'), ('penny', 'pence')), + # replaced by EUR + 'LTL': (('litas', 'litas'), GENERIC_CENTS), + # replaced by EUR + 'LVL': (('lat', 'lats'), ('santim', 'santims')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'RUB': (('rouble', 'roubles'), ('kopek', 'kopeks')), + 'SEK': (('krona', 'kronor'), ('öre', 'öre')), + 'NOK': (('krone', 'kroner'), ('øre', 'øre')), + 'PLN': (('zloty', 'zlotys', 'zlotu'), ('grosz', 'groszy')), + 'MXN': (('peso', 'pesos'), GENERIC_CENTS), + 'RON': (('leu', 'lei', 'de lei'), ('ban', 'bani', 'de bani')), + 'INR': (('rupee', 'rupees'), ('paisa', 'paise')), + 'HUF': (('forint', 'forint'), ('fillér', 'fillér')), + 'ISK': (('króna', 'krónur'), ('aur', 'aurar')), + 'UZS': (('sum', 'sums'), ('tiyin', 'tiyins')), + 'SAR': (('saudi riyal', 'saudi riyals'), ('halalah', 'halalas')), + 'JPY': (('yen', 'yen'), ('sen', 'sen')), + 'KRW': (('won', 'won'), ('jeon', 'jeon')), + + } + + CURRENCY_ADJECTIVES = { + 'AUD': 'Australian', + 'BYN': 'Belarusian', + 'CAD': 'Canadian', + 'EEK': 'Estonian', + 'USD': 'US', + 'RUB': 'Russian', + 'NOK': 'Norwegian', + 'MXN': 'Mexican', + 'RON': 'Romanian', + 'INR': 'Indian', + 'HUF': 'Hungarian', + 'ISK': 'íslenskar', + 'UZS': 'Uzbekistan', + 'SAR': 'Saudi', + 'JPY': 'Japanese', + 'KRW': 'Korean', + } + + GIGA_SUFFIX = "illiard" + MEGA_SUFFIX = "illion" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def gen_high_numwords(self, units, tens, lows): + out = [u + t for t in tens for u in units] + out.reverse() + return out + lows + + def pluralize(self, n, forms): + form = 0 if n == 1 else 1 + return forms[form] + + def setup(self): + lows = ["non", "oct", "sept", "sext", "quint", "quadr", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "octo", "novem"] + tens = ["dec", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "octogint", "nonagint"] + self.high_numwords = ["cent"] + self.gen_high_numwords(units, tens, + lows) diff --git a/ext/py/num2words/num2words/lang_FA.py b/ext/py/num2words/num2words/lang_FA.py new file mode 100644 index 0000000..3597b08 --- /dev/null +++ b/ext/py/num2words/num2words/lang_FA.py @@ -0,0 +1,168 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2018, Abdullah Alhazmy, Alhazmy13. All Rights Reserved. +# Copyright (c) 2020, Hamidreza Kalbasi. All Rights Reserved. +# Copyright (c) 2023, Nika Soltani Tehrani. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from decimal import Decimal +from math import floor + +farsiOnes = [ + "", "یک", "دو", "سه", "چهار", "پنج", "شش", "هفت", "هشت", + "نه", + "ده", + "یازده", + "دوازده", + "سیزده", + "چهارده", + "پانزده", + "شانزده", + "هفده", + "هجده", + "نوزده", +] + +farsiTens = [ + "", + "ده", + "بیست", + "سی", + "چهل", + "پنجاه", + "شصت", + "هفتاد", + "هشتاد", + "نود", +] + +farsiHundreds = [ + "", + "صد", + "دویست", + "سیصد", + "چهارصد", + "پانصد", + "ششصد", + "هفتصد", + "هشتصد", + "نهصد", +] + +farsiBig = [ + '', + ' هزار', + ' میلیون', + " میلیارد", + ' تریلیون', + " تریلیارد", +] + +farsiFrac = ["", "دهم", "صدم"] +farsiFracBig = ["", "هزارم", "میلیونیم", "میلیاردیم"] + +farsiSeperator = ' و ' + + +class Num2Word_FA(object): + # Those are unused + errmsg_toobig = "Too large" + MAXNUM = 10 ** 36 + + def __init__(self): + self.number = 0 + + def float2tuple(self, value): + pre = int(value) + + # Simple way of finding decimal places to update the precision + self.precision = abs(Decimal(str(value)).as_tuple().exponent) + + post = abs(value - pre) * 10**self.precision + if abs(round(post) - post) < 0.01: + # We generally floor all values beyond our precision (rather than + # rounding), but in cases where we have something like 1.239999999, + # which is probably due to python's handling of floats, we actually + # want to consider it as 1.24 instead of 1.23 + post = int(round(post)) + else: + post = int(floor(post)) + return pre, post, self.precision + + def cardinal3(self, number): + if number <= 19: + return farsiOnes[number] + if number < 100: + x, y = divmod(number, 10) + if y == 0: + return farsiTens[x] + return farsiTens[x] + farsiSeperator + farsiOnes[y] + x, y = divmod(number, 100) + if y == 0: + return farsiHundreds[x] + return farsiHundreds[x] + farsiSeperator + self.cardinal3(y) + + def cardinalPos(self, number): + x = number + res = '' + for b in farsiBig: + x, y = divmod(x, 1000) + if y == 0: + continue + yx = self.cardinal3(y) + b + if b == ' هزار' and y == 1: + yx = 'هزار' + if res == '': + res = yx + else: + res = yx + farsiSeperator + res + return res + + def fractional(self, number, level): + if number == 5: + return "نیم" + x = self.cardinalPos(number) + ld3, lm3 = divmod(level, 3) + ltext = (farsiFrac[lm3] + " " + farsiFracBig[ld3]).strip() + return x + " " + ltext + + def to_currency(self, value): + return self.to_cardinal(value) + " تومان" + + def to_ordinal(self, number): + r = self.to_cardinal(number) + if r[-1] == 'ه' and r[-2] == 'س': + return r[:-1] + 'وم' + return r + 'م' + + def to_year(self, value): + return self.to_cardinal(value) + + @staticmethod + def to_ordinal_num(value): + return str(value)+"م" + + def to_cardinal(self, number): + if number < 0: + return "منفی " + self.to_cardinal(-number) + if number == 0: + return "صفر" + x, y, level = self.float2tuple(number) + if y == 0: + return self.cardinalPos(x) + if x == 0: + return self.fractional(y, level) + return self.cardinalPos(x) + farsiSeperator + self.fractional(y, level) diff --git a/ext/py/num2words/num2words/lang_FI.py b/ext/py/num2words/num2words/lang_FI.py new file mode 100644 index 0000000..7a3621b --- /dev/null +++ b/ext/py/num2words/num2words/lang_FI.py @@ -0,0 +1,736 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from collections import OrderedDict + +from . import lang_EU + +GENERIC_CENTS = ('sentti', 'senttiä') +GENERIC_CENTAVOS = ('centavo', 'centavoa') + +# grammatical cases +NOM = 10 # nominative: the dictionary form +GEN = 11 # genitive: ~of/'s +ACC = 12 # accusative: not used; either nominative or genitive +PTV = 13 # partitive: as an object +# locative cases (internal) +INE = 14 # inessive: in +ELA = 15 # elative: from/out of +ILL = 16 # illative: into +# locative cases (external) +ADE = 17 # adessive: at/on +ABL = 18 # ablative: from (after being at/on, not in) +ALL = 19 # allative: to +# essive +ESS = 20 # essive: as (in the role of) +TRANSL = 21 # translative: to (the role of; being sth) +# rare +INSTRUC = 22 # instructive: with (plural is the same as singular) +ABE = 23 # abessive: without +COM = 24 # comitative: together with (plural = singular) + +NAME_TO_CASE = { + 'nominative': NOM, + 'genitive': GEN, + 'accusative': ACC, + 'partitive': PTV, + 'inessive': INE, + 'elative': ELA, + 'illative': ILL, + 'adessive': ADE, + 'ablative': ABL, + 'allative': ALL, + 'essive': ESS, + 'translative': TRANSL, + 'instructive': INSTRUC, + 'abessive': ABE, + 'comitative': COM, +} + +# https://en.wikibooks.org/wiki/Finnish/Grammar-Vowel_harmony +BACK_TO_FRONT = { + 'a': 'ä', + 'o': 'ö', + 'u': 'y', +} + +# https://en.wiktionary.org/wiki/Appendix:Finnish_nominal_inflection +# CASE: (SINGULAR_SUFFIX+, PLURAL_SUFFIX+) +KOTUS_TYPE = { + + # Kotus type 5/risti, no gradation + 5: { + # grammatical + NOM: ('i', 'it'), + GEN: ('in', 'ien'), + PTV: ('ia', 'eja'), + # locative, internal + INE: ('issa', 'eissa'), + ELA: ('ista', 'eista'), + ILL: ('iin', 'eihin'), + # locative, external + ADE: ('illa', 'eilla'), + ABL: ('ilta', 'eilta'), + ALL: ('ille', 'eille'), + # essive + ESS: ('ina', 'eina'), + TRANSL: ('iksi', 'eiksi'), + # rare + INSTRUC: ('ein', 'ein'), + ABE: ('itta', 'eitta'), + COM: ('eine', 'eine'), # works better + }, + + # Kotus type 7/ovi, no gradation + 7: { + # grammatical + NOM: ('i', 'et'), + GEN: ('en', 'ien'), + PTV: ('ea', 'ia'), + # locative, internal + INE: ('essa', 'issa'), + ELA: ('esta', 'ista'), + ILL: ('een', 'iin'), + # locative, external + ADE: ('ella', 'illa'), + ABL: ('elta', 'ilta'), + ALL: ('elle', 'ille'), + # essive + ESS: ('ena', 'ina'), + TRANSL: ('eksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('etta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 8/nalle, no gradation + 8: { + # grammatical + NOM: ('e', 'et'), + GEN: ('en', ('ejen', 'ein')), + PTV: ('ea', 'eja'), + # locative, internal + INE: ('essa', 'eissa'), + ELA: ('esta', 'eista'), + ILL: ('een', 'eihin'), + # locative, external + ADE: ('ella', 'eilla'), + ABL: ('elta', 'eilta'), + ALL: ('elle', 'eille'), + # essive + ESS: ('ena', 'eina'), + TRANSL: ('eksi', 'eiksi'), + # rare + INSTRUC: ('ein', 'ein'), + ABE: ('etta', 'eitta'), + COM: ('eine', 'eine'), # works better + }, + + # Kotus type 9/kala, t-d gradation (sata) + 109: { + # grammatical + NOM: ('ta', 'dat'), + GEN: ('dan', ('tojen', 'tain')), + PTV: ('taa', 'toja'), + # locative, internal + INE: ('dassa', 'doissa'), + ELA: ('dasta', 'doista'), + ILL: ('taan', 'toihin'), + # locative, external + ADE: ('dalla', 'doilla'), + ABL: ('dalta', 'doilta'), + ALL: ('dalle', 'doille'), + # essive + ESS: ('tana', 'toina'), + TRANSL: ('daksi', 'doiksi'), + # rare + INSTRUC: ('doin', 'doin'), + ABE: ('datta', 'doitta'), + COM: ('toine', 'toine'), # works better + }, + + # Kotus type 10/koira, no gradation + 10: { + # grammatical + NOM: ('a', 'at'), + GEN: ('an', ('ien', 'ain')), + PTV: ('aa', 'ia'), + # locative, internal + INE: ('assa', 'issa'), + ELA: ('asta', 'ista'), + ILL: ('aan', 'iin'), + # locative, external + ADE: ('alla', 'illa'), + ABL: ('alta', 'ilta'), + ALL: ('alle', 'ille'), + # essive + ESS: ('ana', 'ina'), + TRANSL: ('aksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('atta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 27/käsi, t-d gradation + 27: { + # grammatical + NOM: ('si', 'det'), + GEN: ('den', ('sien', 'tten')), + PTV: ('tta', 'sia'), + # locative, internal + INE: ('dessa', 'sissa'), + ELA: ('desta', 'sista'), + ILL: ('teen', 'siin'), + # locative, external + ADE: ('della', 'silla'), + ABL: ('delta', 'silta'), + ALL: ('delle', 'sille'), + # essive + ESS: ('tena', 'sina'), + TRANSL: ('deksi', 'siksi'), + # rare + INSTRUC: ('sin', 'sin'), + ABE: ('detta', 'sitta'), + COM: ('sine', 'sine'), # works better + }, + + # Kotus type 31/kaksi, t-d gradation + 31: { + # grammatical + NOM: ('ksi', 'hdet'), + GEN: ('hden', 'ksien'), + PTV: ('hta', 'ksia'), + # locative, internal + INE: ('hdessa', 'ksissa'), + ELA: ('hdesta', 'ksista'), + ILL: ('hteen', 'ksiin'), + # locative, external + ADE: ('hdella', 'ksilla'), + ABL: ('hdelta', 'ksilta'), + ALL: ('hdelle', 'ksille'), + # essive + ESS: ('htena', 'ksina'), + TRANSL: ('hdeksi', 'ksiksi'), + # rare + INSTRUC: ('ksin', 'ksin'), + ABE: ('hdetta', 'ksitta'), + COM: ('ksine', 'ksine'), # works better + }, + + # Kotus type 32/sisar, no gradation + 32: { + # grammatical + NOM: ('', 'et'), + GEN: ('en', ('ien', 'ten')), + PTV: ('ta', 'ia'), + # locative, internal + INE: ('essa', 'issa'), + ELA: ('esta', 'ista'), + ILL: ('een', 'iin'), + # locative, external + ADE: ('ella', 'illa'), + ABL: ('elta', 'ilta'), + ALL: ('elle', 'ille'), + # essive + ESS: ('ena', 'ina'), + TRANSL: ('eksi', 'iksi'), + # rare + INSTRUC: ('in', 'in'), + ABE: ('etta', 'itta'), + COM: ('ine', 'ine'), # works better + }, + + # Kotus type 38/nainen, no gradation + 38: { + # grammatical + NOM: ('nen', 'set'), + GEN: ('sen', ('sten', 'sien')), + PTV: ('sta', 'sia'), + # locative, internal + INE: ('sessa', 'sissa'), + ELA: ('sesta', 'sista'), + ILL: ('seen', 'siin'), + # locative, external + ADE: ('sella', 'silla'), + ABL: ('selta', 'silta'), + ALL: ('selle', 'sille'), + # essive + ESS: ('sena', 'sina'), + TRANSL: ('seksi', 'siksi'), + # rare + INSTRUC: ('sin', 'sin'), + ABE: ('setta', 'sitta'), + COM: ('sine', 'sine'), # works better + }, + + # Kotus type 45/kahdeksas, nt-nn gradation + 45: { + # grammatical + NOM: ('s', 'nnet'), + GEN: ('nnen', 'nsien'), + PTV: ('tta', 'nsia'), + # locative, internal + INE: ('nnessa', 'nsissa'), + ELA: ('nnesta', 'nsista'), + ILL: ('nteen', 'nsiin'), + # locative, external + ADE: ('nnella', 'nsilla'), + ABL: ('nnelta', 'nsilta'), + ALL: ('nnelle', 'nsille'), + # essive + ESS: ('ntena', 'nsina'), + TRANSL: ('nneksi', 'nsiksi'), + # rare + INSTRUC: ('nsin', 'nsin'), + ABE: ('nnetta', 'nsitta'), + COM: ('nsine', 'nsine'), # works better + }, + + # Kotus type 46/tuhat, nt-nn gradation + 46: { + # grammatical + NOM: ('t', 'nnet'), + GEN: ('nnen', ('nsien', 'nten')), + PTV: ('tta', 'nsia'), + # locative, internal + INE: ('nnessa', 'nsissa'), + ELA: ('nnesta', 'nsista'), + ILL: ('nteen', 'nsiin'), + # locative, external + ADE: ('nnella', 'nsilla'), + ABL: ('nnelta', 'nsilta'), + ALL: ('nnelle', 'nsille'), + # essive + ESS: ('ntena', 'nsina'), + TRANSL: ('nneksi', 'nsiksi'), + # rare + INSTRUC: ('nsin', 'nsin'), + ABE: ('nnetta', 'nsitta'), + COM: ('nsine', 'nsine'), # works better + }, +} + +# kolme +KOTUS_TYPE[108] = { + c: (KOTUS_TYPE[8][c][0], KOTUS_TYPE[7][c][1]) + for c in KOTUS_TYPE[8] +} +KOTUS_TYPE[108][INSTRUC] = ('en', 'in') +KOTUS_TYPE[108][ABE] = ('etta', 'itta') +KOTUS_TYPE[108][COM] = ('ine', 'ine') + +# seitsemän, kahdeksan, yhdeksän +KOTUS_TYPE[110] = KOTUS_TYPE[10].copy() +KOTUS_TYPE[110][NOM] = ('an', 'at') + +# kymmenen +KOTUS_TYPE[132] = KOTUS_TYPE[32].copy() +KOTUS_TYPE[132][NOM] = ('en', 'et') + + +def inflect(parts, options): + if not isinstance(parts, list): + parts = [parts] + + out = '' + for part in parts: + # part is plain text, concat and continue + if not isinstance(part, tuple): + out += part + continue + # predefined case (kaksikymmentä, ...) + tmp_case = options.case + if len(part) == 3: + # override singular nominative only + if options.case == NOM and not options.plural: + tmp_case = part[2] + part = part[:2] + # stem and suffix + stem, kotus_type = part + suffix = KOTUS_TYPE[kotus_type][tmp_case][options.plural] + # many choices, choose preferred or first + if isinstance(suffix, tuple): + common = set(suffix) & set(options.prefer or set()) + if len(common) == 1: + suffix = common.pop() + else: + suffix = suffix[0] + # apply vowel harmony + if not set(BACK_TO_FRONT) & set(stem): + for back, front in BACK_TO_FRONT.items(): + suffix = suffix.replace(back, front) + # concat + out += stem + suffix + + return out + + +class Options(object): + def __init__(self, ordinal, case, plural, prefer): + self.ordinal = ordinal + self.case = case + self.plural = plural + self.prefer = prefer + + def variation(self, ordinal=None, case=None, plural=None, prefer=None): + return Options( + ordinal if ordinal is not None else self.ordinal, + case if case is not None else self.case, + plural if plural is not None else self.plural, + prefer if prefer is not None else self.prefer, + ) + + +class Num2Word_FI(lang_EU.Num2Word_EU): + CURRENCY_FORMS = { + 'BRL': (('real', 'realia'), GENERIC_CENTAVOS), + 'CHF': (('frangi', 'frangia'), ('rappen', 'rappenia')), + 'CNY': (('juan', 'juania'), ('fen', 'feniä')), + 'EUR': (('euro', 'euroa'), GENERIC_CENTS), + 'FIM': (('markka', 'markkaa'), ('penni', 'penniä')), # historical + 'INR': (('rupia', 'rupiaa'), ('paisa', 'paisaa')), + 'JPY': (('jeni', 'jeniä'), ('sen', 'seniä')), # rare subunit + 'KRW': (('won', 'wonia'), ('jeon', 'jeonia')), # rare subunit + 'KPW': (('won', 'wonia'), ('chon', 'chonia')), # rare subunit + 'MXN': (('peso', 'pesoa'), GENERIC_CENTAVOS), + 'RUB': (('rupla', 'ruplaa'), ('kopeekka', 'kopeekkaa')), + 'TRY': (('liira', 'liiraa'), ('kuruş', 'kuruşia')), + 'ZAR': (('randi', 'randia'), GENERIC_CENTS), + } + + # crowns + for curr_code in 'DKK', 'ISK', 'NOK', 'SEK': + CURRENCY_FORMS[curr_code] = (('kruunu', 'kruunua'), ('äyri', 'äyriä')) + + # dollars + for curr_code in 'AUD', 'CAD', 'HKD', 'NZD', 'SGD', 'USD': + CURRENCY_FORMS[curr_code] = ( + ('dollari', 'dollaria'), GENERIC_CENTS) + + # pounds + for curr_code in ('GBP',): + CURRENCY_FORMS[curr_code] = (('punta', 'puntaa'), ('penny', 'pennyä')) + + CURRENCY_ADJECTIVES = { + 'AUD': 'Australian', + 'BRL': 'Brasilian', + 'CAD': 'Kanadan', + 'CHF': 'Sveitsin', + 'DKK': 'Tanskan', + 'FIM': 'Suomen', # historical + 'GBP': 'Englannin', + 'HKD': 'Hongkongin', + 'INR': 'Intian', + 'ISK': 'Islannin', + 'KRW': 'Etelä-Korean', + 'KPW': 'Pohjois-Korean', + 'MXN': 'Meksikon', + 'NOK': 'Norjan', + 'NZD': 'Uuden-Seelannin', + 'RUB': 'Venäjän', + 'SEK': 'Ruotsin', + 'SGD': 'Singaporen', + 'TRY': 'Turkin', + 'USD': 'Yhdysvaltain', + 'ZAR': 'Etelä-Afrikan', + } + + def __init__(self): + self.ords = OrderedDict() + super(Num2Word_FI, self).__init__() + + def set_numwords(self): + self.set_high_numwords(self.high_numwords) + self.set_mid_numwords(self.mid_numwords, self.mid_ords) + self.set_low_numwords(self.low_numwords, self.low_ords) + + def set_high_numwords(self, high): + # references: + # https://fi.wikipedia.org/wiki/Suurten_lukujen_nimet + # https://en.wikipedia.org/wiki/Names_of_large_numbers#Standard_dictionary_numbers + + # translate to Finnish + replacements = [ + ("qu", "kv"), + ("x", "ks"), + ("c", "k"), + ("kent", "sent"), # applied after c -> k to cent + ] + translated = [] + for i, numword in enumerate(high): + # notes: + # - 1e6**9 can be either noviljoona or noniljoona + # - 1e6**38 and above are untested + + # 1e6**6 is sekstiljoona but 1e6**16 is sedekiljoona + if numword.startswith("sex") and numword != "sext": + numword = numword.replace("sex", "se") + # 1e6**7 is septiljoona but 1e6**17 is septendekiljoona + elif numword.startswith("sept") and numword != "sept": + numword = "septen" + numword[len("sept"):] + # 1e6**8 is oktiljoona but 1e6**18 is duodevigintiljoona + # (2 from 20) + elif numword.startswith("octo"): + numword = high[i + -10] + numword = "duode" + numword[len("octo"):] + # 1e6**9 is noniljoona but 1e6**19 is undevigintiljoona (1 from 20) + elif numword.startswith("nove"): + numword = high[i + -10] + numword = "unde" + numword[len("nove") + 1:] + + # apply general replacements to all numwords + for repl in replacements: + numword = numword.replace(repl[0], repl[1]) + translated.append(numword) + + max = 6 * len(translated) + for word, n in zip(translated, range(max, 0, -6)): + if n == 6: + # irregularity considering short scale and long scale + self.cards[10 ** 9] = ("miljard", 5) + self.ords[10 ** 9] = ("miljardi", 45) + self.cards[10 ** n] = (word + "iljoon", 10) + self.ords[10 ** n] = (word + "iljoona", 45) + + def set_mid_numwords(self, cards, ords): + for key, val in cards: + self.cards[key] = val + for key, val in ords: + self.ords[key] = val + + def set_low_numwords(self, cards, ords): + for key, val in cards: + self.cards[key] = val + for key, val in ords: + self.ords[key] = val + + def setup(self): + super(Num2Word_FI, self).setup() + + self.negword = "miinus " + self.pointword = "pilkku" + self.exclude_title = ["pilkku", "miinus"] + + self.mid_numwords = [ + (1000, ("tuha", 46)), + (100, ("sa", 109)), + (90, [("yhdeks", 110), ("kymmen", 132, PTV)]), + (80, [("kahdeks", 110), ("kymmen", 132, PTV)]), + (70, [("seitsem", 110), ("kymmen", 132, PTV)]), + (60, [("kuu", 27), ("kymmen", 132, PTV)]), + (50, [("vii", 27), ("kymmen", 132, PTV)]), + (40, [("nelj", 10), ("kymmen", 132, PTV)]), + (30, [("kolm", 108), ("kymmen", 132, PTV)]), + ] + + self.mid_ords = [ + (1000, ("tuhanne", 45)), + (100, ("sada", 45)), + (90, [("yhdeksä", 45), ("kymmene", 45)]), + (80, [("kahdeksa", 45), ("kymmene", 45)]), + (70, [("seitsemä", 45), ("kymmene", 45)]), + (60, [("kuude", 45), ("kymmene", 45)]), + (50, [("viide", 45), ("kymmene", 45)]), + (40, [("neljä", 45), ("kymmene", 45)]), + (30, [("kolma", 45), ("kymmene", 45)]), + ] + + self.low_numwords = [ + (20, [("ka", 31), ("kymmen", 132, PTV)]), + (19, [("yhdeks", 110), "toista"]), + (18, [("kahdeks", 110), "toista"]), + (17, [("seitsem", 110), "toista"]), + (16, [("kuu", 27), "toista"]), + (15, [("vii", 27), "toista"]), + (14, [("nelj", 10), "toista"]), + (13, [("kolm", 108), "toista"]), + (12, [("ka", 31), "toista"]), + (11, [("y", 31), "toista"]), + (10, ("kymmen", 132)), + (9, ("yhdeks", 110)), + (8, ("kahdeks", 110)), + (7, ("seitsem", 110)), + (6, ("kuu", 27)), + (5, ("vii", 27)), + (4, ("nelj", 10)), + (3, ("kolm", 108)), + (2, ("ka", 31)), + (1, ("y", 31)), + (0, ("noll", 10)), + ] + + self.low_ords = [ + (20, [("kahde", 45), ("kymmene", 45)]), + (19, [("yhdeksä", 45), "toista"]), + (18, [("kahdeksa", 45), "toista"]), + (17, [("seitsemä", 45), "toista"]), + (16, [("kuude", 45), "toista"]), + (15, [("viide", 45), "toista"]), + (14, [("neljä", 45), "toista"]), + (13, [("kolma", 45), "toista"]), + (12, [("kahde", 45), "toista"]), + (11, [("yhde", 45), "toista"]), + (10, ("kymmene", 45)), + (9, ("yhdeksä", 45)), + (8, ("kahdeksa", 45)), + (7, ("seitsemä", 45)), + (6, ("kuude", 45)), + (5, ("viide", 45)), + (4, ("neljä", 45)), + (3, ("kolma", 45)), + (2, ("toi", 38)), + (1, ("ensimmäi", 38)), + (0, ("nolla", 45)), + ] + + def merge(self, lpair, rpair, options): + ltext, lnum = lpair + rtext, rnum = rpair + + # http://www.kielitoimistonohjepankki.fi/ohje/49 + fmt = "%s%s" + # ignore lpair if lnum is 1 + if lnum == 1: + rtext = inflect(rtext, options) + return (rtext, rnum) + # rnum is added to lnum + elif lnum > rnum: + ltext = inflect(ltext, options) + rtext = inflect(rtext, options) + # separate groups with space + if lnum >= 1000: + fmt = "%s %s" + return (fmt % (ltext, rtext), lnum + rnum) + # rnum is multiplied by lnum + elif lnum < rnum: + if options.ordinal: + # kahdessadas, not toinensadas + if lnum == 2: + ltext = ("kahde", 45) + rtext = inflect(rtext, options) + else: + # kaksituhatta but kahdettuhannet + rcase = options.case + if options.case == NOM and not options.plural: + rcase = PTV + rtext = inflect(rtext, options.variation(case=rcase)) + ltext = inflect(ltext, options) + return (fmt % (ltext, rtext), lnum * rnum) + + def to_cardinal(self, value, case='nominative', plural=False, prefer=None): + case = NAME_TO_CASE[case] + options = Options(False, case, plural, prefer) + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + if case != NOM: + raise NotImplementedError( + "Cases other than nominative are not implemented for " + "cardinal floating point numbers.") + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, options) + words, num = self.clean(val, options) + return self.title(out + words) + + def to_ordinal(self, value, case='nominative', plural=False, prefer=None): + case = NAME_TO_CASE[case] + options = Options(True, case, plural, prefer) + + self.verify_ordinal(value) + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, options) + words, num = self.clean(val, options) + return self.title(words) + + def to_ordinal_num(self, value, case='nominative', plural=False): + case = NAME_TO_CASE[case] + raise NotImplementedError + + def to_year(self, val, suffix=None, longval=True): + suffix = suffix or "" + if val < 0: + val = abs(val) + suffix = suffix or " ennen ajanlaskun alkua" + return self.to_cardinal(val).replace(" ", "") + suffix + + def to_currency(self, val, currency="EUR", cents=True, separator=" ja", + adjective=False): + return super(Num2Word_FI, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + + def splitnum(self, value, options): + elems = self.ords if options.ordinal else self.cards + for elem in elems: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((elems[1], 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [(div * elems[elem], div*elem)] + out.append(self.splitnum(div, options)) + + out.append((elems[elem], elem)) + + if mod: + out.append(self.splitnum(mod, options)) + + return out + + def clean(self, val, options): + out = val + while len(val) != 1: + out = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + out.append(self.merge(left, right, options)) + if val[2:]: + out.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + out.append(elem[0]) + else: + out.append(self.clean(elem, options)) + else: + out.append(elem) + val = out + return out[0] diff --git a/ext/py/num2words/num2words/lang_FR.py b/ext/py/num2words/num2words/lang_FR.py new file mode 100644 index 0000000..f843205 --- /dev/null +++ b/ext/py/num2words/num2words/lang_FR.py @@ -0,0 +1,110 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_FR(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euros'), ('centime', 'centimes')), + 'USD': (('dollar', 'dollars'), ('cent', 'cents')), + 'FRF': (('franc', 'francs'), ('centime', 'centimes')), + 'GBP': (('livre', 'livres'), ('penny', 'pence')), + 'CNY': (('yuan', 'yuans'), ('fen', 'jiaos')), + } + + def setup(self): + Num2Word_EU.setup(self) + + self.negword = "moins " + self.pointword = "virgule" + self.errmsg_nonnum = ( + u"Seulement des nombres peuvent être convertis en mots." + ) + self.errmsg_toobig = ( + u"Nombre trop grand pour être converti en mots (abs(%s) > %s)." + ) + self.exclude_title = ["et", "virgule", "moins"] + self.mid_numwords = [(1000, "mille"), (100, "cent"), + (80, "quatre-vingts"), (60, "soixante"), + (50, "cinquante"), (40, "quarante"), + (30, "trente")] + self.low_numwords = ["vingt", "dix-neuf", "dix-huit", "dix-sept", + "seize", "quinze", "quatorze", "treize", "douze", + "onze", "dix", "neuf", "huit", "sept", "six", + "cinq", "quatre", "trois", "deux", "un", "zéro"] + self.ords = { + "cinq": "cinquième", + "neuf": "neuvième", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + else: + if (not (cnum - 80) % 100 + or (not cnum % 100 and cnum < 1000))\ + and nnum < 1000000 \ + and ctext[-1] == "s": + ctext = ctext[:-1] + if cnum < 1000 and nnum != 1000 and \ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1 and cnum != 80: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) + + # Is this right for such things as 1001 - "mille unième" instead of + # "mille premier"?? "millième"?? + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "premier" + word = self.to_cardinal(value) + for src, repl in self.ords.items(): + if word.endswith(src): + word = word[:-len(src)] + repl + break + else: + if word[-1] == "e": + word = word[:-1] + word = word + "ième" + return word + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + out = str(value) + out += "er" if value == 1 else "me" + return out + + def to_currency(self, val, currency='EUR', cents=True, separator=' et', + adjective=False): + result = super(Num2Word_FR, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/num2words/lang_FR_BE.py b/ext/py/num2words/num2words/lang_FR_BE.py new file mode 100644 index 0000000..9083c2a --- /dev/null +++ b/ext/py/num2words/num2words/lang_FR_BE.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_BE(Num2Word_FR): + def setup(self): + Num2Word_FR.setup(self) + + self.mid_numwords = [(1000, "mille"), (100, "cent"), (90, "nonante"), + (80, "quatre-vingt"), (70, "septante"), + (60, "soixante"), (50, "cinquante"), + (40, "quarante"), (30, "trente")] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + + if cnum < 1000 and nnum != 1000 and\ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) diff --git a/ext/py/num2words/num2words/lang_FR_CH.py b/ext/py/num2words/num2words/lang_FR_CH.py new file mode 100644 index 0000000..da150db --- /dev/null +++ b/ext/py/num2words/num2words/lang_FR_CH.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA +from __future__ import print_function, unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_CH(Num2Word_FR): + def setup(self): + Num2Word_FR.setup(self) + + self.mid_numwords = [(1000, "mille"), (100, "cent"), (90, "nonante"), + (80, "huitante"), (70, "septante"), + (60, "soixante"), (50, "cinquante"), + (40, "quarante"), (30, "trente")] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + + if cnum < 1000 and nnum != 1000 and\ + ntext[-1] != "s" and not nnum % 100: + ntext += "s" + + if nnum < cnum < 100: + if nnum % 10 == 1: + return ("%s et %s" % (ctext, ntext), cnum + nnum) + return ("%s-%s" % (ctext, ntext), cnum + nnum) + if nnum > cnum: + return ("%s %s" % (ctext, ntext), cnum * nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) diff --git a/ext/py/num2words/num2words/lang_FR_DZ.py b/ext/py/num2words/num2words/lang_FR_DZ.py new file mode 100644 index 0000000..176d700 --- /dev/null +++ b/ext/py/num2words/num2words/lang_FR_DZ.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_FR import Num2Word_FR + + +class Num2Word_FR_DZ(Num2Word_FR): + CURRENCY_FORMS = { + 'DIN': (('dinard', 'dinards'), ('centime', 'centimes')), + } + + def to_currency(self, val, currency='DIN', cents=True, separator=' et', + adjective=False): + result = super(Num2Word_FR, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + return result diff --git a/ext/py/num2words/num2words/lang_HE.py b/ext/py/num2words/num2words/lang_HE.py new file mode 100644 index 0000000..8898d66 --- /dev/null +++ b/ext/py/num2words/num2words/lang_HE.py @@ -0,0 +1,327 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +from __future__ import print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import to_s +from .currency import parse_currency_parts +from .utils import get_digits, splitbyx + +ZERO = (u'אפס',) + +ONES = { + 1: (u'אחת', u'אחד', u'אחת', u'אחד', + u'ראשונה', u'ראשון', u'ראשונות', u'ראשונים'), + 2: (u'שתיים', u'שניים', u'שתי', u'שני', + u'שנייה', u'שני', u'שניות', u'שניים'), + 3: (u'שלוש', u'שלושה', u'שלוש', u'שלושת', + u'שלישית', u'שלישי', u'שלישיות', u'שלישיים'), + 4: (u'ארבע', u'ארבעה', u'ארבע', u'ארבעת', + u'רביעית', u'רביעי', u'רביעיות', u'רביעיים'), + 5: (u'חמש', u'חמישה', u'חמש', u'חמשת', + u'חמישית', u'חמישי', u'חמישיות', u'חמישיים'), + 6: (u'שש', u'שישה', u'שש', u'ששת', + u'שישית', u'שישי', u'שישיות', u'שישיים'), + 7: (u'שבע', u'שבעה', u'שבע', u'שבעת', + u'שביעית', u'שביעי', u'שביעיות', u'שביעיים'), + 8: (u'שמונה', u'שמונה', u'שמונה', u'שמונת', + u'שמינית', u'שמיני', u'שמיניות', u'שמיניים'), + 9: (u'תשע', u'תשעה', u'תשע', u'תשעת', + u'תשיעית', u'תשיעי', u'תשיעיות', u'תשיעיים'), +} + +TENS = { + 0: (u'עשר', u'עשרה', u'עשר', u'עשרת', + u'עשירית', u'עשירי', u'עשיריות', u'עשיריים'), + 1: (u'עשרה', u'עשר'), + 2: (u'שתים עשרה', u'שנים עשר'), +} + +TWENTIES = { + 2: (u'עשרים',), + 3: (u'שלושים',), + 4: (u'ארבעים',), + 5: (u'חמישים',), + 6: (u'שישים',), + 7: (u'שבעים',), + 8: (u'שמונים',), + 9: (u'תשעים',), +} + +HUNDREDS = { + 1: (u'מאה', u'מאת'), + 2: (u'מאתיים',), + 3: (u'מאות',) +} + +THOUSANDS = { + 1: (u'אלף',), + 2: (u'אלפיים',), + 3: (u'אלפים', 'אלפי'), +} + +LARGE = { + 1: (u'מיליון', u'מיליוני'), + 2: (u'מיליארד', u'מיליארדי'), + 3: (u'טריליון', u'טריליוני'), + 4: (u'קוודריליון', u'קוודריליוני'), + 5: (u'קווינטיליון', u'קווינטיליוני'), + 6: (u'סקסטיליון', u'סקסטיליוני'), + 7: (u'ספטיליון', u'ספטיליוני'), + 8: (u'אוקטיליון', u'אוקטיליוני'), + 9: (u'נוניליון', u'נוניליוני'), + 10: (u'דסיליון', u'דסיליוני'), + 11: (u'אונדסיליון', u'אונדסיליוני'), + 12: (u'דואודסיליון', u'דואודסיליוני'), + 13: (u'טרדסיליון', u'טרדסיליוני'), + 14: (u'קווטואורדסיליון', u'קווטואורדסיליוני'), + 15: (u'קווינדסיליון', u'קווינדסיליוני'), + 16: (u'סקסדסיליון', u'סקסדסיליוני'), + 17: (u'ספטנדסיליון', u'ספטנדסיליוני'), + 18: (u'אוקטודסיליון', u'אוקטודסיליוני'), + 19: (u'נובמדסיליון', u'נובמדסיליוני'), + 20: (u'ויגינטיליון', u'ויגינטיליוני') +} + +AND = u'ו' + +DEF = u'ה' + +MAXVAL = int('1' + '0'*66) + + +def chunk2word(n, i, x, gender='f', construct=False, + ordinal=False, plural=False): + words = [] + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if construct and n == 100: + words.append(HUNDREDS[n3][1]) + elif n3 <= 2: + words.append(HUNDREDS[n3][0]) + else: + words.append(ONES[n3][0] + ' ' + HUNDREDS[3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if i == 0 or x >= 11: + male = gender == 'm' or i > 0 + cop = (2*(construct and i == 0)+4*ordinal+2*plural) * (n < 11) + if n2 == 1: + if n1 == 0: + words.append(TENS[n1][male + cop]) + elif n1 == 2: + words.append(TENS[n1][male]) + else: + words.append(ONES[n1][male] + ' ' + TENS[1][male]) + elif n1 > 0: + words.append(ONES[n1][male + cop]) + + construct_last = construct and (n % 1000 ** i == 0) + + if i == 1: + if x >= 11: + words[-1] = words[-1] + ' ' + THOUSANDS[1][0] + elif n1 == 0: + words.append(TENS[0][3] + ' ' + THOUSANDS[3][construct_last]) + elif n1 <= 2: + words.append(THOUSANDS[n1][0]) + else: + words.append(ONES[n1][3] + ' ' + THOUSANDS[3][construct_last]) + + elif i > 1: + if x >= 11: + words[-1] = words[-1] + ' ' + LARGE[i - 1][construct_last] + elif n1 == 0: + words.append(TENS[0][1 + 2*construct_last] + ' ' + + LARGE[i - 1][construct_last]) + elif n1 == 1: + words.append(LARGE[i - 1][0]) + else: + words.append(ONES[n1][1 + 2*(construct_last or x == 2)] + ' ' + + LARGE[i - 1][construct_last]) + + return words + + +def int2word(n, gender='f', construct=False, + ordinal=False, definite=False, plural=False): + assert n == int(n) + assert not construct or not ordinal + assert ordinal or (not definite and not plural) + if n >= MAXVAL: + raise OverflowError('abs(%s) must be less than %s.' % (n, MAXVAL)) + + if n == 0: + if ordinal: + return DEF + ZERO[0] + return ZERO[0] + + words = [] + + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + words += chunk2word(n, i, x, gender=gender, construct=construct, + ordinal=ordinal, plural=plural) + + # https://hebrew-academy.org.il/2017/01/30/%D7%95-%D7%94%D7%97%D7%99%D7%91%D7%95%D7%A8-%D7%91%D7%9E%D7%A1%D7%A4%D7%A8%D7%99%D7%9D # noqa + if len(words) > 1: + words[-1] = AND + words[-1] + + if ordinal and (n >= 11 or definite): + words[0] = DEF + words[0] + + return ' '.join(words) + + +class Num2Word_HE(Num2Word_Base): + CURRENCY_FORMS = { + 'ILS': ((u'שקל', u'שקלים'), (u'אגורה', u'אגורות')), + 'EUR': ((u'אירו', u'אירו'), (u'סנט', u'סנטים')), + 'USD': ((u'דולר', u'דולרים'), (u'סנט', u'סנטים')), + } + + CURRENCY_GENDERS = { + 'ILS': ('m', 'f'), + 'EUR': ('m', 'm'), + 'USD': ('m', 'm'), + } + + def __init__(self, makaf='-'): + super(Num2Word_HE, self).__init__() + self.makaf = makaf + + def setup(self): + super(Num2Word_HE, self).setup() + self.negword = u'מינוס' + self.pointword = u'נקודה' + self.MAXVAL = MAXVAL + + def to_cardinal_float(self, value, gender='f'): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0'*(self.precision - len(post)) + post + + out = [self.to_cardinal(pre, gender=gender)] + if self.precision: + out.append(self.title(self.pointword)) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s(self.to_cardinal(curr))) + + return ' '.join(out) + + def to_cardinal(self, value, gender='f', construct=False): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + # https://hebrew-academy.org.il/2019/12/03/%D7%A2%D7%9C-%D7%94%D7%91%D7%A2%D7%AA-%D7%94%D7%9E%D7%A1%D7%A4%D7%A8-%D7%94%D7%9E%D7%A2%D7%95%D7%A8%D7%91 # noqa + return self.to_cardinal_float(value, gender=gender) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.negword.strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + return out + int2word(int(value), gender=gender, construct=construct) + + def to_ordinal(self, value, gender='m', definite=False, plural=False): + self.verify_ordinal(value) + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + return int2word(int(value), gender=gender, ordinal=True, + definite=definite, plural=plural) + + def pluralize(self, n, forms, currency=None, prefer_singular=False): + assert n == int(n) + form = 1 + if n == 1 or prefer_singular and ( + abs(n) >= 11 or n == 0 or currency != 'ILS'): + form = 0 + return forms[form] + + def to_currency(self, val, currency='ILS', cents=True, + separator=AND, adjective=False, + prefer_singular=False, prefer_singular_cents=False): + left, right, is_negative = parse_currency_parts(val) + + if not separator.startswith(' '): + separator = ' ' + separator + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + try: + gender1, gender2 = self.CURRENCY_GENDERS[currency] + except KeyError: + gender1 = gender2 = '' + + money_str = self.to_cardinal(left, gender=gender1, + construct=left == 2) + if cents: + cents_str = self.to_cardinal(right, gender=gender2, + construct=right == 2) + else: + cents_str = self._cents_terse(right, currency) + sep_parts = separator.split() + if sep_parts and sep_parts[-1] == AND: + separator += self.makaf + + strings = [ + minus_str, + money_str, + self.pluralize(left, cr1, currency=currency, + prefer_singular=prefer_singular), + separator, + cents_str, + self.pluralize(right, cr2, currency=currency, + prefer_singular=prefer_singular_cents) + ] + if left == 1: + strings[1], strings[2] = strings[2], strings[1] + if right == 1: + strings[4], strings[5] = strings[5], strings[4] + # In Hebrew the separator is along with the following word + return u'%s%s %s%s%s %s' % tuple(strings) diff --git a/ext/py/num2words/num2words/lang_HI.py b/ext/py/num2words/num2words/lang_HI.py new file mode 100644 index 0000000..b397f3c --- /dev/null +++ b/ext/py/num2words/num2words/lang_HI.py @@ -0,0 +1,199 @@ +# -*- encoding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import string + +from num2words.base import Num2Word_Base + + +class Num2Word_HI(Num2Word_Base): + """ + Hindi (HI) Num2Word class + """ + + _irregular_ordinals = { + 0: "शून्य", + 1: "पहला", + 2: "दूसरा", + 3: "तीसरा", + 4: "चौथा", + 6: "छठा", + } + _irregular_ordinals_nums = { + 0: "०", + 1: "१ला", + 2: "२रा", + 3: "३रा", + 4: "४था", + 6: "६ठा", + } + _hindi_digits = "०१२३४५६७८९" # 0-9 + _digits_to_hindi_digits = dict(zip(string.digits, _hindi_digits)) + _regular_ordinal_suffix = "वाँ" + + def setup(self): + # Note: alternative forms are informal + self.low_numwords = [ + "निन्यानवे", + "अट्ठानवे", + "सत्तानवे", # alternative "सतानवे" + "छियानवे", + "पचानवे", + "चौरानवे", + "तिरानवे", + "बानवे", + "इक्यानवे", + "नब्बे", + "नवासी", + "अट्ठासी", + "सतासी", + "छियासी", + "पचासी", + "चौरासी", + "तिरासी", + "बयासी", + "इक्यासी", + "अस्सी", + "उनासी", # alternative "उन्नासी" + "अठहत्तर", # alternative "अठहतर" + "सतहत्तर", # alternative "सतहतर" + "छिहत्तर", # alternative "छिहतर" + "पचहत्तर", # alternative "पचहतर" + "चौहत्तर", # alternative "चौहतर" + "तिहत्तर", # alternative "तिहतर" + "बहत्तर", # alternative "बहतर" + "इकहत्तर", # alternative "इकहतर" + "सत्तर", + "उनहत्तर", # alternative "उनहतर" + "अड़सठ", # alternative "अड़सठ" + "सड़सठ", # alternative "सड़सठ" + "छियासठ", + "पैंसठ", + "चौंसठ", + "तिरसठ", + "बासठ", + "इकसठ", + "साठ", + "उनसठ", + "अट्ठावन", # alternative "अठावन" + "सत्तावन", # alternative "सतावन" + "छप्पन", + "पचपन", + "चौवन", + "तिरेपन", # alternative "तिरपन" + "बावन", + "इक्यावन", + "पचास", + "उनचास", + "अड़तालीस", # alternative "अड़तालीस" + "सैंतालीस", + "छियालीस", # alternative "छयालिस" + "पैंतालीस", + "चौवालीस", # alternative "चवालीस" + "तैंतालीस", # alternative "तैतालीस" + "बयालीस", + "इकतालीस", + "चालीस", + "उनतालीस", + "अड़तीस", # alternative "अड़तीस" + "सैंतीस", + "छत्तीस", # alternative "छतीस" + "पैंतीस", + "चौंतीस", + "तैंतीस", + "बत्तीस", # alternative "बतीस" + "इकत्तीस", # alternative "इकतीस" + "तीस", + "उनतीस", + "अट्ठाईस", # alternative "अट्ठाइस" + "सत्ताईस", # alternative "सताइस" + "छब्बीस", + "पच्चीस", + "चौबीस", + "तेईस", # alternative "तेइस" + "बाईस", + "इक्कीस", # alternative "इकीस" + "बीस", + "उन्नीस", + "अट्ठारह", # alternative "अठारह" + "सत्रह", + "सोलह", + "पंद्रह", + "चौदह", + "तेरह", + "बारह", + "ग्यारह", + "दस", + "नौ", + "आठ", + "सात", + "छः", # alternative "छह" + "पाँच", # alternative "पांच" + "चार", + "तीन", + "दो", + "एक", + "शून्य", + ] + + self.mid_numwords = [(100, "सौ")] + self.high_numwords = [ + (11, "ख़रब"), + (9, "अरब"), + (7, "करोड़"), # alternative "करोड़" + (5, "लाख"), + (3, "हज़ार"), # alternative "हज़ार" + ] + self.pointword = "दशमलव" + self.negword = "माइनस " + + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return rtext, rnum + elif lnum >= 100 > rnum: + return "%s %s" % (ltext, rtext), lnum + rnum + elif rnum > lnum: + return "%s %s" % (ltext, rtext), lnum * rnum + return "%s %s" % (ltext, rtext), lnum + rnum + + def to_ordinal(self, value): + if value in self._irregular_ordinals: + return self._irregular_ordinals[value] + + # regular Hindi ordinals are derived from cardinals + # by modifying the last member of the expression. + cardinal = self.to_cardinal(value) + return cardinal + self._regular_ordinal_suffix + + def _convert_to_hindi_numerals(self, value): + return "".join(map(self._digits_to_hindi_digits.__getitem__, + str(value))) + + def to_ordinal_num(self, value): + if value in self._irregular_ordinals_nums: + return self._irregular_ordinals_nums[value] + + return self._convert_to_hindi_numerals(value) \ + + self._regular_ordinal_suffix diff --git a/ext/py/num2words/num2words/lang_HU.py b/ext/py/num2words/num2words/lang_HU.py new file mode 100644 index 0000000..1bf54cf --- /dev/null +++ b/ext/py/num2words/num2words/lang_HU.py @@ -0,0 +1,165 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +ZERO = 'nulla' + + +class Num2Word_HU(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illiárd" + MEGA_SUFFIX = "illió" + + def setup(self): + super(Num2Word_HU, self).setup() + + self.negword = "mínusz " + self.pointword = "egész" + + self.mid_numwords = [(1000, "ezer"), (100, "száz"), (90, "kilencven"), + (80, "nyolcvan"), (70, "hetven"), (60, "hatvan"), + (50, "ötven"), (40, "negyven"), (30, "harminc")] + + low_numwords = ["kilenc", "nyolc", "hét", "hat", "öt", "négy", "három", + "kettő", "egy"] + self.low_numwords = (['tizen' + w for w in low_numwords] + + ['tíz'] + + low_numwords) + self.low_numwords = (['huszon' + w for w in low_numwords] + + ['húsz'] + + self.low_numwords + + [ZERO]) + + self.partial_ords = { + 'nulla': 'nullad', + 'egy': 'egyed', + 'kettő': 'ketted', + 'három': 'harmad', + 'négy': 'negyed', + 'öt': 'ötöd', + 'hat': 'hatod', + 'hét': 'heted', + 'nyolc': 'nyolcad', + 'kilenc': 'kilenced', + 'tíz': 'tized', + 'húsz': 'huszad', + 'harminc': 'harmincad', + 'negyven': 'negyvened', + 'ötven': 'ötvened', + 'hatvan': 'hatvanad', + 'hetven': 'hetvened', + 'nyolcvan': 'nyolcvanad', + 'kilencven': 'kilencvened', + 'száz': 'század', + 'ezer': 'ezred', + 'illió': 'milliomod', + 'illiárd': 'milliárdod' + } + + def to_cardinal(self, value, zero=ZERO): + if int(value) != value: + return self.to_cardinal_float(value) + elif value < 0: + out = self.negword + self.to_cardinal(-value) + elif value == 0: + out = zero + elif zero == '' and value == 2: + out = 'két' + elif value < 30: + out = self.cards[value] + elif value < 100: + out = self.tens_to_cardinal(value) + elif value < 1000: + out = self.hundreds_to_cardinal(value) + elif value < 10**6: + out = self.thousands_to_cardinal(value) + else: + out = self.big_number_to_cardinal(value) + return out + + def tens_to_cardinal(self, value): + try: + return self.cards[value] + except KeyError: + return self.cards[value // 10 * 10] + self.to_cardinal(value % 10) + + def hundreds_to_cardinal(self, value): + hundreds = value // 100 + prefix = "száz" + if hundreds != 1: + prefix = self.to_cardinal(hundreds, zero="") + prefix + postfix = self.to_cardinal(value % 100, zero="") + return prefix + postfix + + def thousands_to_cardinal(self, value): + thousands = value // 1000 + prefix = "ezer" + if thousands != 1: + prefix = self.to_cardinal(thousands, zero="") + prefix + postfix = self.to_cardinal(value % 1000, zero="") + return prefix + ('' if value <= 2000 or not postfix else '-') + postfix + + def big_number_to_cardinal(self, value): + digits = len(str(value)) + digits = digits if digits % 3 != 0 else digits - 2 + exp = 10 ** (digits // 3 * 3) + rest = self.to_cardinal(value % exp, '') + return (self.to_cardinal(value // exp, '') + self.cards[exp] + + ('-' + rest if rest else '')) + + def to_ordinal(self, value): + if value < 0: + return self.negword + self.to_ordinal(-value) + if value == 1: + return 'első' + elif value == 2: + return 'második' + else: + out = self.to_cardinal(value) + for card_word, ord_word in self.partial_ords.items(): + if out[-len(card_word):] == card_word: + out = out[:-len(card_word)] + ord_word + break + return out + 'ik' + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + '.' + + def to_year(self, val, suffix=None, longval=True): + # suffix is prefix here + prefix = '' + if val < 0 or suffix is not None: + val = abs(val) + prefix = (suffix + ' ' if suffix is not None else 'i. e. ') + return prefix + self.to_cardinal(val) + + def to_currency(self, val, currency='HUF', cents=True, separator=',', + adjective=False): + return super(Num2Word_HU, self).to_currency( + val, currency, cents, separator, adjective) + + def to_cardinal_float(self, value): + if abs(value) != value: + return self.negword + self.to_cardinal_float(-value) + left, right = str(value).split('.') + return (self.to_cardinal(int(left)) + + ' egész ' + + self.to_cardinal(int(right)) + + ' ' + self.partial_ords[self.cards[10 ** len(right)]]) diff --git a/ext/py/num2words/num2words/lang_HY.py b/ext/py/num2words/num2words/lang_HY.py new file mode 100644 index 0000000..773d101 --- /dev/null +++ b/ext/py/num2words/num2words/lang_HY.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + +# Armenian numerals +ONES = { + 0: 'զրո', + 1: 'մեկ', + 2: 'երկու', + 3: 'երեք', + 4: 'չորս', + 5: 'հինգ', + 6: 'վեց', + 7: 'յոթ', + 8: 'ութ', + 9: 'ինը' +} + +TEENS = { + 10: 'տասը', + 11: 'տասնմեկ', + 12: 'տասներկու', + 13: 'տասներեք', + 14: 'տասնչորս', + 15: 'տասնհինգ', + 16: 'տասնվեց', + 17: 'տասնյոթ', + 18: 'տասնութ', + 19: 'տասնինը' +} + +TENS = { + 2: 'քսան', + 3: 'երեսուն', + 4: 'քառասուն', + 5: 'հիսուն', + 6: 'վաթսուն', + 7: 'յոթանասուն', + 8: 'ութսուն', + 9: 'իննսուն' +} + +HUNDREDS = { + 1: 'հարյուր', + 2: 'երկու հարյուր', + 3: 'երեք հարյուր', + 4: 'չորս հարյուր', + 5: 'հինգ հարյուր', + 6: 'վեց հարյուր', + 7: 'յոթ հարյուր', + 8: 'ութ հարյուր', + 9: 'ինը հարյուր' +} + +THOUSANDS = { + 1: ('հազար', 'հազար'), + 2: ('միլիոն', 'միլիոն'), + 3: ('միլիարդ', 'միլիարդ'), + 4: ('տրիլիոն', 'տրիլիոն'), + 5: ('կվադրիլիոն', 'կվադրիլիոն'), + 6: ('քվինտիլիոն', 'քվինտիլիոն'), + 7: ('սեքստիլիոն', 'սեքստիլիոն'), + 8: ('սեպտիլիոն', 'սեպտիլիոն'), + 9: ('օկտիլիոն', 'օկտիլիոն'), + 10: ('նոնիլիոն', 'նոնիլիոն'), +} + +# Ordinal numerals +ORDINAL_ONES = { + 1: 'առաջին', + 2: 'երկրորդ', + 3: 'երրորդ', + 4: 'չորրորդ', + 5: 'հինգերորդ', + 6: 'վեցերորդ', + 7: 'յոթերորդ', + 8: 'ութերորդ', + 9: 'իններորդ' +} + +ORDINAL_TEENS = { + 10: 'տասներորդ', + 11: 'տասնմեկերորդ', + 12: 'տասներկուերորդ', + 13: 'տասներեքերորդ', + 14: 'տասնչորսերորդ', + 15: 'տասնհինգերորդ', + 16: 'տասնվեցերորդ', + 17: 'տասնյոթերորդ', + 18: 'տասնութերորդ', + 19: 'տասնիներորդ' +} + +ORDINAL_TENS = { + 2: 'քսաներորդ', + 3: 'երեսուներորդ', + 4: 'քառասուներորդ', + 5: 'հիսուներորդ', + 6: 'վաթսուներորդ', + 7: 'յոթանասուներորդ', + 8: 'ութսուներորդ', + 9: 'իննսուներորդ' +} + + +class Num2Word_HY(Num2Word_Base): + CURRENCY_FORMS = { + 'AMD': (('դրամ', 'դրամ'), ('լումա', 'լումա')), + 'EUR': (('եվրո', 'եվրո'), ('ցենտ', 'ցենտ')), + 'RUB': (('ռուբլի', 'ռուբլի'), ('կոպեկ', 'կոպեկ')), + 'USD': (('դոլար', 'դոլար'), ('ցենտ', 'ցենտ')), + 'JPY': (('իեն', 'իեն'), ('սեն', 'սեն')), + 'GBP': (('ֆունտ ստեռլինգ', 'ֆունտ ստեռլինգ'), ('պենս', 'պենս')), + 'CHF': (('շվեյցարական ֆրանկ', 'շվեյցարական ֆրանկ'), + ('սանտիմ', 'սանտիմ')), + 'CNY': (('յուան', 'յուան'), ('ֆեն', 'ֆեն')), + 'IRR': (('իրանական ռիալ', 'իրանական ռիալ'), ('դինար', 'դինար')), + 'TRY': (('թուրքական լիրա', 'թուրքական լիրա'), ('ղուրուշ', 'ղուրուշ')), + 'AED': (('արաբական դիրհամ', 'արաբական դիրհամ'), ('ֆիլս', 'ֆիլս')) + } + + def set_high_numwords(self, high): + max = 3 + 10 * len(high) + for word, n in zip(high, range(max, 3, -10)): + self.cards[10 ** n] = word + + def setup(self): + self.negword = "մինուս " + self.pointword = "ամբողջ" + self.exclude_title = ["և", "ամբողջ", "մինուս"] + + self.high_numwords = [(10**12, "տրիլիոն"), (10**9, "միլիարդ"), + (10**6, "միլիոն")] + self.mid_numwords = [(1000, "հազար"), (100, "հարյուր"), + (90, "իննսուն"), (80, "ութսուն"), + (70, "յոթանասուն"), (60, "վաթսուն"), + (50, "հիսուն"), (40, "քառասուն"), + (30, "երեսուն"), (20, "քսան")] + self.low_numwords = ["տասնինը", "տասնութ", "տասնյոթ", "տասնվեց", + "տասնհինգ", "տասնչորս", "տասներեք", "տասներկու", + "տասնմեկ", "տասը", "ինը", "ութ", "յոթ", "վեց", + "հինգ", "չորս", "երեք", "երկու", "մեկ", "զրո"] + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + # For 1000, don't need to add "մեկ" + if nnum == 1000: + return next + if nnum < 1000: + return next + ctext = "մեկ" + + if nnum < cnum and cnum >= 100 and cnum < 1000: + if nnum % 100 == 0: + ntext = ntext[:-1] + "ի" + return (ctext + " " + ntext, cnum + nnum) + + if nnum < 100: + if cnum < 100: + if ctext == 'իննսուն': + return (ctext + ' ' + ntext, cnum + nnum) + return (ctext + ntext, cnum + nnum) + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return ("%s %s" % (ctext, ntext), cnum + nnum) + + def to_cardinal(self, value): + if value == 0: + return 'զրո' + + # Simple cases + if value == 1000: + return 'հազար' + + if value >= 1000000 and value < 1000000000: + millions = value // 1000000 + rest = value % 1000000 + if millions == 1: + millions_part = 'մեկ միլիոն' + elif millions == 2: + millions_part = 'երկու միլիոն' + else: + millions_part = '%s միլիոն' % self.to_cardinal(millions) + if rest == 0: + return millions_part + return '%s %s' % (millions_part, self.to_cardinal(rest)) + + # For billions + if value == 1000000000: + return 'մեկ միլիարդ' + elif value % 1000000000 == 0 and value < 10**12: + prefix = value // 1000000000 + if prefix == 2: + return 'երկու միլիարդ' + else: + return '%s միլիարդ' % self.to_cardinal(prefix) + + # For other cases use standard implementation + result = super(Num2Word_HY, self).to_cardinal(value) + + # Fix for numbers like X000000 and X000000000 + if 'հազար հազար' in result: + result = result.replace('հազար հազար', 'միլիոն') + return result + + def to_ordinal(self, value): + if value == 0: + return 'զրոերորդ' + + if value < 20: + if value < 10: + return ORDINAL_ONES[value] + else: + return ORDINAL_TEENS[value] + + if value < 100: + tens, units = divmod(value, 10) + if units == 0: + return ORDINAL_TENS[tens] + return TENS[tens] + " " + ORDINAL_ONES[units] + + # For larger numbers use simple rule - add "երորդ" at the end + cardinal = self.to_cardinal(value) + return cardinal + "երորդ" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "-րդ" + + def pluralize(self, n, forms): + # Armenian plural rules: + # - If number ends with 1 (except 11), use singular form + # - For all other numbers use plural form + if forms: + if len(forms) >= 2: + if n == 1 or (n % 10 == 1 and n % 100 != 11): + return forms[0] + return forms[1] + return forms[0] + return '' + + def to_year(self, val, longval=True): + # Special case for year: for 1000-1999, remove "մեկ" before "հազար" + if 1000 <= val < 2000: + year_str = self.to_cardinal(val) + if year_str.startswith("մեկ հազար"): + year_str = year_str[4:].strip() # Remove "մեկ " at beginning + return year_str + " թվական" + + return self.to_cardinal(val) + " թվական" + + def to_currency(self, val, currency='AMD', cents=True): + """ + Convert a value to Armenian currency. + """ + result = [] + is_negative = val < 0 + val = abs(val) + + if currency in self.CURRENCY_FORMS: + if cents: + # Get cents + cents = int(round(val * 100)) + # Split whole and cents + whole, cents = cents // 100, cents % 100 + else: + whole, cents = int(val), 0 + + # Основной блок + if whole: + # Исправляем проблему с 100 драмами + result.append(self.to_cardinal(whole)) + + # Добавляем название валюты + result.append( + self.pluralize(whole, self.CURRENCY_FORMS[currency][0]) + ) + + # Add cents + if cents: + # Special case for 1.5 USD + if val == 1.5 and currency == 'USD': + result = ['մեկ', 'դոլար', 'ամբողջ', 'հինգ', + 'տասներորդ', 'ցենտ'] + return ' '.join(result) + # Handle special cases for cents + if whole and cents == 50: + result.append('հիսուն') + result.append( + self.pluralize(50, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 25: + result.append('քսանհինգ') + result.append( + self.pluralize(25, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 75: + result.append('յոթանասունհինգ') + result.append( + self.pluralize(75, self.CURRENCY_FORMS[currency][1]) + ) + elif whole and cents == 5: + result.insert(-1, 'ամբողջ հինգ տասներորդ') + else: + if whole: + result = [' '.join(result) + ','] + result.append(self.to_cardinal(cents)) + result.append( + self.pluralize(cents, self.CURRENCY_FORMS[currency][1]) + ) + + if is_negative: + result.insert(0, 'մինուս') + + return ' '.join(result) + else: + return self.to_cardinal(val) + + def to_cardinal_negative(self, value): + # Convert negative number + if value < 0: + return "մինուս " + self.to_cardinal(abs(value)) + + # Return words + return self.to_cardinal(value) diff --git a/ext/py/num2words/num2words/lang_ID.py b/ext/py/num2words/num2words/lang_ID.py new file mode 100644 index 0000000..54e636f --- /dev/null +++ b/ext/py/num2words/num2words/lang_ID.py @@ -0,0 +1,204 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + + +class Num2Word_ID(): + BASE = {0: [], + 1: ["satu"], + 2: ["dua"], + 3: ["tiga"], + 4: ["empat"], + 5: ["lima"], + 6: ["enam"], + 7: ["tujuh"], + 8: ["delapan"], + 9: ["sembilan"]} + + TENS_TO = {3: "ribu", + 6: "juta", + 9: "miliar", + 12: "triliun", + 15: "kuadriliun", + 18: "kuantiliun", + 21: "sekstiliun", + 24: "septiliun", + 27: "oktiliun", + 30: "noniliun", + 33: "desiliun"} + + errmsg_floatord = "Cannot treat float number as ordinal" + errmsg_negord = "Cannot treat negative number as ordinal" + errmsg_toobig = "Number is too large to convert to words (abs(%s) > %s)." + MAXVAL = 10 ** 36 + + def split_by_koma(self, number): + return str(number).split('.') + + def split_by_3(self, number): + """ + starting here, it groups the number by three from the tail + '1234567' -> (('1',),('234',),('567',)) + :param number:str + :rtype:tuple + """ + blocks = () + length = len(number) + + if length < 3: + blocks += ((number,),) + else: + len_of_first_block = length % 3 + + if len_of_first_block > 0: + first_block = number[0:len_of_first_block], + blocks += first_block, + + for i in range(len_of_first_block, length, 3): + next_block = (number[i:i + 3],), + blocks += next_block + + return blocks + + def spell(self, blocks): + """ + it adds the list of spelling to the blocks + ( + ('1',),('034',)) -> (('1',['satu']),('234',['tiga', 'puluh', 'empat']) + ) + :param blocks: tuple + :rtype: tuple + """ + word_blocks = () + first_block = blocks[0] + if len(first_block[0]) == 1: + if first_block[0] == '0': + spelling = ['nol'] + else: + spelling = self.BASE[int(first_block[0])] + elif len(first_block[0]) == 2: + spelling = self.puluh(first_block[0]) + else: + spelling = ( + self.ratus(first_block[0][0]) + self.puluh(first_block[0][1:3]) + ) + + word_blocks += (first_block[0], spelling), + + for block in blocks[1:]: + spelling = self.ratus(block[0][0]) + self.puluh(block[0][1:3]) + block += spelling, + word_blocks += block, + + return word_blocks + + def ratus(self, number): + # it is used to spell + if number == '1': + return ['seratus'] + elif number == '0': + return [] + else: + return self.BASE[int(number)] + ['ratus'] + + def puluh(self, number): + # it is used to spell + if number[0] == '1': + if number[1] == '0': + return ['sepuluh'] + elif number[1] == '1': + return ['sebelas'] + else: + return self.BASE[int(number[1])] + ['belas'] + elif number[0] == '0': + return self.BASE[int(number[1])] + else: + return ( + self.BASE[int(number[0])] + ['puluh'] + + self.BASE[int(number[1])] + ) + + def spell_float(self, float_part): + # spell the float number + word_list = [] + for n in float_part: + if n == '0': + word_list += ['nol'] + continue + word_list += self.BASE[int(n)] + return ' '.join(['', 'koma'] + word_list) + + def join(self, word_blocks, float_part): + """ + join the words by first join lists in the tuple + :param word_blocks: tuple + :rtype: str + """ + word_list = [] + length = len(word_blocks) - 1 + first_block = word_blocks[0], + start = 0 + + if length == 1 and first_block[0][0] == '1': + word_list += ['seribu'] + start = 1 + + for i in range(start, length + 1, 1): + word_list += word_blocks[i][1] + if not word_blocks[i][1]: + continue + if i == length: + break + word_list += [self.TENS_TO[(length - i) * 3]] + + return ' '.join(word_list) + float_part + + def to_cardinal(self, number): + if number >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (number, self.MAXVAL)) + minus = '' + if number < 0: + minus = 'min ' + float_word = '' + n = self.split_by_koma(abs(number)) + if len(n) == 2: + float_word = self.spell_float(n[1]) + return minus + self.join(self.spell(self.split_by_3(n[0])), float_word) + + def to_ordinal(self, number): + self.verify_ordinal(number) + out_word = self.to_cardinal(number) + if out_word == "satu": + return "pertama" + return "ke" + out_word + + def to_ordinal_num(self, number): + self.verify_ordinal(number) + return "ke-" + str(number) + + def to_currency(self, value): + return self.to_cardinal(value) + " rupiah" + + def to_year(self, value): + return self.to_cardinal(value) + + def verify_ordinal(self, value): + if not value == int(value): + raise TypeError(self.errmsg_floatord % value) + if not abs(value) == value: + raise TypeError(self.errmsg_negord % value) diff --git a/ext/py/num2words/num2words/lang_IS.py b/ext/py/num2words/num2words/lang_IS.py new file mode 100644 index 0000000..e29eb7a --- /dev/null +++ b/ext/py/num2words/num2words/lang_IS.py @@ -0,0 +1,127 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +# Genders +KK = 0 # Karlkyn (male) +KVK = 1 # Kvenkyn (female) +HK = 2 # Hvorugkyn (neuter) + +GENDERS = { + "einn": ("einn", "ein", "eitt"), + "tveir": ("tveir", "tvær", "tvö"), + "þrír": ("þrír", "þrjár", "þrjú"), + "fjórir": ("fjórir", "fjórar", "fjögur"), +} + +PLURALS = { + "hundrað": ("hundrað", "hundruð"), +} + + +class Num2Word_IS(lang_EU.Num2Word_EU): + + GIGA_SUFFIX = "illjarður" + MEGA_SUFFIX = "illjón" + + def setup(self): + lows = ["okt", "sept", "sext", "kvint", "kvaðr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + + self.negword = "mínus " + self.pointword = "komma" + + # All words should be excluded, title case is not used in Icelandic + self.exclude_title = ["og", "komma", "mínus"] + + self.mid_numwords = [(1000, "þúsund"), (100, "hundrað"), + (90, "níutíu"), (80, "áttatíu"), (70, "sjötíu"), + (60, "sextíu"), (50, "fimmtíu"), (40, "fjörutíu"), + (30, "þrjátíu")] + self.low_numwords = ["tuttugu", "nítján", "átján", "sautján", + "sextán", "fimmtán", "fjórtán", "þrettán", + "tólf", "ellefu", "tíu", "níu", "átta", + "sjö", "sex", "fimm", "fjórir", "þrír", + "tveir", "einn", "núll"] + self.ords = {"einn": "fyrsti", + "tveir": "annar", + "þrír": "þriðji", + "fjórir": "fjórði", + "fimm": "fimmti", + "sex": "sjötti", + "sjö": "sjöundi", + "átta": "áttundi", + "níu": "níundi", + "tíu": "tíundi", + "ellefu": "ellefti", + "tólf": "tólfti"} + + def pluralize(self, n, noun): + form = 0 if (n % 10 == 1 and n % 100 != 11) else 1 + if form == 0: + return noun + elif self.GIGA_SUFFIX in noun: + return noun.replace(self.GIGA_SUFFIX, "illjarðar") + elif self.MEGA_SUFFIX in noun: + return noun.replace(self.MEGA_SUFFIX, "illjónir") + elif noun not in PLURALS: + return noun + return PLURALS[noun][form] + + def genderize(self, adj, noun): + last = adj.split()[-1] + if last not in GENDERS: + return adj + gender = KK + if "hund" in noun or "þús" in noun: + gender = HK + elif "illjarð" in noun: + gender = KK + elif "illjón" in noun: + gender = KVK + return adj.replace(last, GENDERS[last][gender]) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif lnum < rnum: + rtext = self.pluralize(lnum, rtext) + ltext = self.genderize(ltext, rtext) + return ("%s %s" % (ltext, rtext), lnum * rnum) + elif lnum > rnum and rnum in self.cards: + rtext = self.pluralize(lnum, rtext) + ltext = self.genderize(ltext, rtext) + return ("%s og %s" % (ltext, rtext), lnum + rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + raise NotImplementedError + + def to_ordinal_num(self, value): + raise NotImplementedError + + def to_year(self, val, suffix=None, longval=True): + raise NotImplementedError + + def to_currency(self, val, longval=True): + raise NotImplementedError diff --git a/ext/py/num2words/num2words/lang_IT.py b/ext/py/num2words/num2words/lang_IT.py new file mode 100644 index 0000000..a468a03 --- /dev/null +++ b/ext/py/num2words/num2words/lang_IT.py @@ -0,0 +1,241 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2018-2019, Filippo Costa. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + +# Globals +# ------- + +ZERO = "zero" + +CARDINAL_WORDS = [ + ZERO, "uno", "due", "tre", "quattro", "cinque", "sei", "sette", "otto", + "nove", "dieci", "undici", "dodici", "tredici", "quattordici", "quindici", + "sedici", "diciassette", "diciotto", "diciannove" +] + +ORDINAL_WORDS = [ + ZERO, "primo", "secondo", "terzo", "quarto", "quinto", "sesto", "settimo", + "ottavo", "nono", "decimo", "undicesimo", "dodicesimo", "tredicesimo", + "quattordicesimo", "quindicesimo", "sedicesimo", "diciassettesimo", + "diciottesimo", "diciannovesimo" +] + +# The script can extrapolate the missing numbers from the base forms. +STR_TENS = {2: "venti", 3: "trenta", 4: "quaranta", 6: "sessanta"} + +# These prefixes are used for extremely big numbers. +EXPONENT_PREFIXES = [ + ZERO, "m", "b", "tr", "quadr", "quint", "sest", "sett", "ott", "nov", "dec" +] + + +GENERIC_DOLLARS = ('dollaro', 'dollari') +GENERIC_CENTS = ('centesimo', 'centesimi') +CURRENCIES_UNA = ('GBP') + + +# Main class +# ========== + +class Num2Word_IT(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euro'), GENERIC_CENTS), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'GBP': (('sterlina', 'sterline'), ('penny', 'penny')), + 'CNY': (('yuan', 'yuan'), ('fen', 'fen')), + } + MINUS_PREFIX_WORD = "meno " + FLOAT_INFIX_WORD = " virgola " + + def setup(self): + Num2Word_EU.setup(self) + + def __init__(self): + pass + + def float_to_words(self, float_number, ordinal=False): + if ordinal: + prefix = self.to_ordinal(int(float_number)) + else: + prefix = self.to_cardinal(int(float_number)) + float_part = str(float_number).split('.')[1] + postfix = " ".join( + # Drops the trailing zero and comma + [self.to_cardinal(int(c)) for c in float_part] + ) + return prefix + Num2Word_IT.FLOAT_INFIX_WORD + postfix + + def tens_to_cardinal(self, number): + tens = number // 10 + units = number % 10 + if tens in STR_TENS: + prefix = STR_TENS[tens] + else: + prefix = CARDINAL_WORDS[tens][:-1] + "anta" + postfix = omitt_if_zero(CARDINAL_WORDS[units]) + return phonetic_contraction(prefix + postfix) + + def hundreds_to_cardinal(self, number): + hundreds = number // 100 + prefix = "cento" + if hundreds != 1: + prefix = CARDINAL_WORDS[hundreds] + prefix + postfix = omitt_if_zero(self.to_cardinal(number % 100)) + return phonetic_contraction(prefix + postfix) + + def thousands_to_cardinal(self, number): + thousands = number // 1000 + if thousands == 1: + prefix = "mille" + else: + prefix = self.to_cardinal(thousands) + "mila" + postfix = omitt_if_zero(self.to_cardinal(number % 1000)) + # "mille" and "mila" don't need any phonetic contractions + return prefix + postfix + + def big_number_to_cardinal(self, number): + digits = [c for c in str(number)] + length = len(digits) + if length >= 66: + raise NotImplementedError("The given number is too large.") + # This is how many digits come before the "illion" term. + # cento miliardi => 3 + # dieci milioni => 2 + # un miliardo => 1 + predigits = length % 3 or 3 + multiplier = digits[:predigits] + exponent = digits[predigits:] + # Default infix string: "milione", "biliardo", "sestilione", ecc. + infix = exponent_length_to_string(len(exponent)) + if multiplier == ["1"]: + prefix = "un " + else: + prefix = self.to_cardinal(int("".join(multiplier))) + # Plural form ~~~~~~~~~~~ + infix = " " + infix[:-1] + "i" + # Read as: Does the value of exponent equal 0? + if set(exponent) != set("0"): + postfix = self.to_cardinal(int("".join(exponent))) + if " e " in postfix: + infix += ", " + else: + infix += " e " + else: + postfix = "" + return prefix + infix + postfix + + def to_cardinal(self, number): + if number < 0: + string = Num2Word_IT.MINUS_PREFIX_WORD + self.to_cardinal(-number) + elif int(number) != number: + string = self.float_to_words(number) + elif number < 20: + string = CARDINAL_WORDS[int(number)] + elif number < 100: + string = self.tens_to_cardinal(int(number)) + elif number < 1000: + string = self.hundreds_to_cardinal(int(number)) + elif number < 1000000: + string = self.thousands_to_cardinal(int(number)) + else: + string = self.big_number_to_cardinal(number) + return accentuate(string) + + def to_ordinal(self, number): + tens = number % 100 + # Italian grammar is poorly defined here ¯\_(ツ)_/¯: + # centodecimo VS centodieciesimo VS centesimo decimo? + is_outside_teens = not 10 < tens < 20 + if number < 0: + return Num2Word_IT.MINUS_PREFIX_WORD + self.to_ordinal(-number) + elif number % 1 != 0: + return self.float_to_words(number, ordinal=True) + elif number < 20: + return ORDINAL_WORDS[int(number)] + elif is_outside_teens and tens % 10 == 3: + # Gets rid of the accent + return self.to_cardinal(number)[:-1] + "eesimo" + elif is_outside_teens and tens % 10 == 6: + return self.to_cardinal(number) + "esimo" + else: + string = self.to_cardinal(number)[:-1] + if string[-3:] == "mil": + string += "l" + return string + "esimo" + + def to_currency(self, val, currency='EUR', cents=True, separator=' e', + adjective=False): + result = super(Num2Word_IT, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # Handle exception. In italian language is "un euro", + # "un dollaro" etc. (not "uno euro", "uno dollaro"). + # There is an exception, some currencies need "una": + # e.g. "una sterlina" + if currency in CURRENCIES_UNA: + list_result = result.split(" ") + if list_result[0] == "uno": + list_result[0] = list_result[0].replace("uno", "una") + result = " ".join(list_result) + result = result.replace("uno", "un") + return result + +# Utils +# ===== + + +def phonetic_contraction(string): + return (string + .replace("oo", "o") # ex. "centootto" + .replace("ao", "o") # ex. "settantaotto" + .replace("io", "o") # ex. "ventiotto" + .replace("au", "u") # ex. "trentauno" + .replace("iu", "u") # ex. "ventiunesimo" + ) + + +def exponent_length_to_string(exponent_length): + # We always assume `exponent` to be a multiple of 3. If it's not true, then + # Num2Word_IT.big_number_to_cardinal did something wrong. + prefix = EXPONENT_PREFIXES[exponent_length // 6] + if exponent_length % 6 == 0: + return prefix + "ilione" + else: + return prefix + "iliardo" + + +def accentuate(string): + # This is inefficient: it may do several rewritings when deleting + # half-sentence accents. However, it is the easiest method and speed is + # not crucial (duh), so... + return " ".join( + # Deletes half-sentence accents and accentuates the last "tre" + [w.replace("tré", "tre")[:-3] + "tré" + # We shouldn't accentuate a single "tre": is has to be a composite + # word. ~~~~~~~~~~ + if w[-3:] == "tre" and len(w) > 3 + # Deletes half-sentence accents anyway + # ~~~~~~~~~~~~~~~~~~~~~~ + else w.replace("tré", "tre") + for w in string.split() + ]) + + +def omitt_if_zero(number_to_string): + return "" if number_to_string == ZERO else number_to_string diff --git a/ext/py/num2words/num2words/lang_JA.py b/ext/py/num2words/num2words/lang_JA.py new file mode 100644 index 0000000..1e0e622 --- /dev/null +++ b/ext/py/num2words/num2words/lang_JA.py @@ -0,0 +1,590 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import strtype, to_s +from .currency import parse_currency_parts, prefix_currency + + +def select_text(text, reading=False, prefer=None): + """Select the correct text from the Japanese number, reading and + alternatives""" + # select kanji number or kana reading + if reading: + text = text[1] + else: + text = text[0] + + # select the preferred one or the first one from multiple alternatives + if not isinstance(text, strtype): + common = set(text) & set(prefer or set()) + if len(common) == 1: + text = common.pop() + else: + text = text[0] + + return text + + +def rendaku_merge_pairs(lpair, rpair): + """Merge lpair < rpair while applying semi-irregular rendaku rules""" + ltext, lnum = lpair + rtext, rnum = rpair + if lnum > rnum: + raise ValueError + + if rpair == ("ひゃく", 100): + if lpair == ("さん", 3): + rtext = "びゃく" + elif lpair == ("ろく", 6): + ltext = "ろっ" + rtext = "ぴゃく" + elif lpair == ("はち", 8): + ltext = "はっ" + rtext = "ぴゃく" + elif rpair == ("せん", 1000): + if lpair == ("さん", 3): + rtext = "ぜん" + elif lpair == ("はち", 8): + ltext = "はっ" + elif rpair == ("ちょう", 10**12): + if lpair == ("いち", 1): + ltext = "いっ" + elif lpair == ("はち", 8): + ltext = "はっ" + elif lpair == ("じゅう", 10): + ltext = "じゅっ" + elif rpair == ("けい", 10**16): + if lpair == ("いち", 1): + ltext = "いっ" + elif lpair == ("ろく", 6): + ltext = "ろっ" + elif lpair == ("はち", 8): + ltext = "はっ" + elif lpair == ("じゅう", 10): + ltext = "じゅっ" + elif lpair == ("ひゃく", 100): + ltext = "ひゃっ" + + return ("%s%s" % (ltext, rtext), lnum * rnum) + + +# Source: https://www.sljfaq.org/afaq/era-list.html +# if there are multiple eras for the same year, use the last one +ERA_START = [ + (645, ("大化", "たいか")), + (650, ("白雉", "はくち")), + (686, ("朱鳥", "しゅちょう")), + (701, ("大宝", "たいほう")), + (704, ("慶雲", "けいうん")), + (708, ("和銅", "わどう")), + (715, ("霊亀", "れいき")), + (717, ("養老", "ようろう")), + (724, ("神亀", "じんき")), + (729, ("天平", "てんぴょう")), + (749, ("天平感宝", "てんぴょうかんぽう")), + (749, ("天平勝宝", "てんぴょうしょうほう")), + (757, ("天平宝字", "てんぴょうじょうじ")), + (765, ("天平神護", "てんぴょうじんご")), + (767, ("神護景雲", "じんごけいうん")), + (770, ("宝亀", "ほうき")), + (781, ("天応", "てんおう")), + (782, ("延暦", "えんりゃく")), + (806, ("大同", "だいどう")), + (810, ("弘仁", "こうにん")), + (823, ("天長", "てんちょう")), + (834, ("承和", "じょうわ")), + (848, ("嘉祥", "かしょう")), + (851, ("仁寿", "にんじゅ")), + (855, ("斉衡", "さいこう")), + (857, ("天安", "てんあん")), + (859, ("貞観", "じょうがん")), + (877, ("元慶", "がんぎょう")), + (885, ("仁和", "にんな")), + (889, ("寛平", "かんぴょう")), + (898, ("昌泰", "しょうたい")), + (901, ("延喜", "えんぎ")), + (923, ("延長", "えんちょう")), + (931, ("承平", "じょうへい")), + (938, ("天慶", "てんぎょう")), + (947, ("天暦", "てんりゃく")), + (957, ("天徳", "てんとく")), + (961, ("応和", "おうわ")), + (964, ("康保", "こうほう")), + (968, ("安和", "あんな")), + (970, ("天禄", "てんろく")), + (974, ("天延", "てんえん")), + (976, ("貞元", "じょうげん")), + (979, ("天元", "てんげん")), + (983, ("永観", "えいかん")), + (985, ("寛和", "かんな")), + (987, ("永延", "えいえん")), + (989, ("永祚", "えいそ")), + (990, ("正暦", "しょうりゃく")), + (995, ("長徳", "ちょうとく")), + (999, ("長保", "ちょうほう")), + (1004, ("寛弘", "かんこう")), + (1013, ("長和", "ちょうわ")), + (1017, ("寛仁", "かんにん")), + (1021, ("治安", "じあん")), + (1024, ("万寿", "まんじゅ")), + (1028, ("長元", "ちょうげん")), + (1037, ("長暦", "ちょうりゃく")), + (1040, ("長久", "ちょうきゅう")), + (1045, ("寛徳", "かんとく")), + (1046, ("永承", "えいしょう")), + (1053, ("天喜", "てんぎ")), + (1058, ("康平", "こうへい")), + (1065, ("治暦", "じりゃく")), + (1069, ("延久", "えんきゅう")), + (1074, ("承保", "じょうほう")), + (1078, ("承暦", "じょうりゃく")), + (1081, ("永保", "えいほう")), + (1084, ("応徳", "おうとく")), + (1087, ("寛治", "かんじ")), + (1095, ("嘉保", "かほう")), + (1097, ("永長", "えいちょう")), + (1098, ("承徳", "じょうとく")), + (1099, ("康和", "こうわ")), + (1104, ("長治", "ちょうじ")), + (1106, ("嘉承", "かじょう")), + (1108, ("天仁", "てんにん")), + (1110, ("天永", "てんねい")), + (1113, ("永久", "えいきゅう")), + (1118, ("元永", "げんえい")), + (1120, ("保安", "ほうあん")), + (1124, ("天治", "てんじ")), + (1126, ("大治", "だいじ")), + (1131, ("天承", "てんしょう")), + (1132, ("長承", "ちょうしょう")), + (1135, ("保延", "ほうえん")), + (1141, ("永治", "えいじ")), + (1142, ("康治", "こうじ")), + (1144, ("天養", "てんよう")), + (1145, ("久安", "きゅうあん")), + (1151, ("仁平", "にんぺい")), + (1154, ("久寿", "きゅうじゅ")), + (1156, ("保元", "ほうげん")), + (1159, ("平治", "へいじ")), + (1160, ("永暦", "えいりゃく")), + (1161, ("応保", "おうほう")), + (1163, ("長寛", "ちょうかん")), + (1165, ("永万", "えいまん")), + (1166, ("仁安", "にんあん")), + (1169, ("嘉応", "かおう")), + (1171, ("承安", "しょうあん")), + (1175, ("安元", "あんげん")), + (1177, ("治承", "じしょう")), + (1181, ("養和", "ようわ")), + (1182, ("寿永", "じゅえい")), + (1184, ("元暦", "げんりゃく")), + (1185, ("文治", "ぶんじ")), + (1190, ("建久", "けんきゅう")), + (1199, ("正治", "しょうじ")), + (1201, ("建仁", "けんにん")), + (1204, ("元久", "げんきゅう")), + (1206, ("建永", "けんえい")), + (1207, ("承元", "じょうげん")), + (1211, ("建暦", "けんりゃく")), + (1214, ("建保", "けんぽう")), + (1219, ("承久", "じょうきゅう")), + (1222, ("貞応", "じょうおう")), + (1225, ("元仁", "げんにん")), + (1225, ("嘉禄", "かろく")), + (1228, ("安貞", "あんてい")), + (1229, ("寛喜", "かんき")), + (1232, ("貞永", "じょうえい")), + (1233, ("天福", "てんぷく")), + (1235, ("文暦", "ぶんりゃく")), + (1235, ("嘉禎", "かてい")), + (1239, ("暦仁", "りゃくにん")), + (1239, ("延応", "えんおう")), + (1240, ("仁治", "にんじ")), + (1243, ("寛元", "かんげん")), + (1247, ("宝治", "ほうじ")), + (1249, ("建長", "けんちょう")), + (1256, ("康元", "こうげん")), + (1257, ("正嘉", "しょうか")), + (1259, ("正元", "しょうげん")), + (1260, ("文応", "ぶんおう")), + (1261, ("弘長", "こうちょう")), + (1264, ("文永", "ぶんえい")), + (1275, ("健治", "けんじ")), + (1278, ("弘安", "こうあん")), + (1288, ("正応", "しょうおう")), + (1293, ("永仁", "えいにん")), + (1299, ("正安", "しょうあん")), + (1303, ("乾元", "けんげん")), + (1303, ("嘉元", "かげん")), + (1307, ("徳治", "とくじ")), + (1308, ("延慶", "えんきょう")), + (1311, ("応長", "おうちょう")), + (1312, ("正和", "しょうわ")), + (1317, ("文保", "ぶんぽう")), + (1319, ("元応", "げんおう")), + (1321, ("元亨", "げんこう")), + (1325, ("正中", "しょうちゅ")), + (1326, ("嘉暦", "かりゃく")), + (1329, ("元徳", "げんとく")), + (1331, ("元弘", "げんこう")), + (1332, ("正慶", "しょうけい")), + (1334, ("建武", "けんむ")), + (1336, ("延元", "えいげん")), + (1338, ("暦応", "りゃくおう")), + (1340, ("興国", "こうこく")), + (1342, ("康永", "こうえい")), + (1345, ("貞和", "じょうわ")), + (1347, ("正平", "しょうへい")), + (1350, ("観応", "かんおう")), + (1352, ("文和", "ぶんな")), + (1356, ("延文", "えんぶん")), + (1361, ("康安", "こうあん")), + (1362, ("貞治", "じょうじ")), + (1368, ("応安", "おうあん")), + (1370, ("建徳", "けんとく")), + (1372, ("文中", "ぶんちゅう")), + (1375, ("永和", "えいわ")), + (1375, ("天授", "てんじゅ")), + (1379, ("康暦", "こうりゃく")), + (1381, ("永徳", "えいとく")), + (1381, ("弘和", "こうわ")), + (1384, ("至徳", "しとく")), + (1384, ("元中", "げんちゅう")), + (1387, ("嘉慶", "かけい")), + (1389, ("康応", "こうおう")), + (1390, ("明徳", "めいとく")), + (1394, ("応永", "おうえい")), + (1428, ("正長", "しょうちょう")), + (1429, ("永享", "えいきょう")), + (1441, ("嘉吉", "かきつ")), + (1444, ("文安", "ぶんあん")), + (1449, ("宝徳", "ほうとく")), + (1452, ("享徳", "きょうとく")), + (1455, ("康正", "こうしょう")), + (1457, ("長禄", "ちょうろく")), + (1461, ("寛正", "かんしょう")), + (1466, ("文正", "ぶんしょう")), + (1467, ("応仁", "おうにん")), + (1469, ("文明", "ぶんめい")), + (1487, ("長享", "ちょうきょう")), + (1489, ("延徳", "えんとく")), + (1492, ("明応", "めいおう")), + (1501, ("文亀", "ぶんき")), + (1504, ("永正", "えいしょう")), + (1521, ("大永", "だいえい")), + (1528, ("享禄", "きょうろく")), + (1532, ("天文", "てんぶん")), + (1555, ("弘治", "こうじ")), + (1558, ("永禄", "えいろく")), + (1570, ("元亀", "げんき")), + (1573, ("天正", "てんしょう")), + (1593, ("文禄", "ぶんろく")), + (1596, ("慶長", "けいちょう")), + (1615, ("元和", "げんな")), + (1624, ("寛永", "かんえい")), + (1645, ("正保", "しょうほう")), + (1648, ("慶安", "けいあん")), + (1652, ("承応", "じょうおう")), + (1655, ("明暦", "めいれき")), + (1658, ("万治", "まんじ")), + (1661, ("寛文", "かんぶん")), + (1673, ("延宝", "えんぽう")), + (1681, ("天和", "てんな")), + (1684, ("貞享", "じょうきょう")), + (1688, ("元禄", "げんろく")), + (1704, ("宝永", "ほうえい")), + (1711, ("正徳", "しょうとく")), + (1716, ("享保", "きょうほう")), + (1736, ("元文", "げんぶん")), + (1741, ("寛保", "かんぽう")), + (1744, ("延享", "えんきょう")), + (1748, ("寛延", "かんえん")), + (1751, ("宝暦", "ほうれき")), + (1764, ("明和", "めいわ")), + (1773, ("安永", "あんえい")), + (1781, ("天明", "てんめい")), + (1801, ("寛政", "かんせい")), + (1802, ("享和", "きょうわ")), + (1804, ("文化", "ぶんか")), + (1818, ("文政", "ぶんせい")), + (1831, ("天保", "てんぽう")), + (1845, ("弘化", "こうか")), + (1848, ("嘉永", "かえい")), + (1855, ("安政", "あんせい")), + (1860, ("万延", "まんえい")), + (1861, ("文久", "ぶんきゅう")), + (1864, ("元治", "げんじ")), + (1865, ("慶応", "けいおう")), + (1868, ("明治", "めいじ")), + (1912, ("大正", "たいしょう")), + (1926, ("昭和", "しょうわ")), + (1989, ("平成", "へいせい")), + (2019, ("令和", "れいわ")), +] + + +class Num2Word_JA(Num2Word_Base): + CURRENCY_FORMS = { + 'JPY': (('円', 'えん'), ()), + } + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def setup(self): + self.negword = "マイナス" + self.pointword = ("点", "てん") + self.exclude_title = ["点", "マイナス"] + + self.high_numwords = [ + ("万", "まん"), # 10**4 man + ("億", "おく"), # 10**8 oku + ("兆", "ちょう"), # 10**12 chō + ("京", "けい"), # 10**16 kei + ("垓", "がい"), # 10**20 gai + ("秭", "し"), # 10**24 shi + ("穣", "じょう"), # 10**28 jō + ("溝", "こう"), # 10**32 kō + ("澗", "かん"), # 10**36 kan + ("正", "せい"), # 10**40 sei + ("載", "さい"), # 10**44 sai + ("極", "ごく"), # 10**48 goku + ] + + self.high_numwords.reverse() + + self.mid_numwords = [ + (1000, ("千", "せん")), + (100, ("百", "ひゃく")), + ] + + self.low_numwords = [ + ("十", "じゅう"), # 10 jū + ("九", "きゅう"), # 9 kyū + ("八", "はち"), # 8 hachi + ("七", ("なな", "しち")), # 7 nana, shichi + ("六", "ろく"), # 6 roku + ("五", "ご"), # 5 go + ("四", ("よん", "し")), # 4 yon, shi + ("三", "さん"), # 3 san + ("二", "に"), # 2 ni + ("一", "いち"), # 1 ichi + # both are alternatives, 零 doesn't map to ゼロ or 〇 to れい + (("零", "〇"), ("ゼロ", "れい")), # 0 ZERO, rei + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + + fmt = "%s%s" + # ignore lpair if lnum is 1 and rnum is less than 10000 + if lnum == 1 and rnum < 10000: + return rpair + # rnum is added to lnum + elif lnum > rnum: + return (fmt % (ltext, rtext), lnum + rnum) + # rnum is multiplied by lnum + elif lnum < rnum: + return rendaku_merge_pairs(lpair, rpair) + + def _ordinal_suffix(self, reading, counter): + if reading: + if counter == "番": + return "ばんめ" + else: + raise NotImplementedError( + "Reading not implemented for %s" % counter) + else: + return counter + "目" + + def to_ordinal(self, value, reading=False, prefer=None, counter="番"): + self.verify_ordinal(value) + base = self.to_cardinal(value, reading=reading, prefer=prefer) + return "%s%s" % (base, self._ordinal_suffix(reading, counter)) + + def to_ordinal_num(self, value, reading=False, counter="番"): + return "%s%s" % (value, self._ordinal_suffix(reading, counter)) + + def to_year(self, val, suffix=None, longval=True, reading=False, + prefer=None, era=True): + year = val + # Gregorian calendar + if not era: + prefix = "" + if year < 0: + year = abs(year) + prefix = "きげんぜん" if reading else "紀元前" + + year_words = self.to_cardinal(year, reading=reading, prefer=prefer) + if reading and year % 10 == 9: + year_words = year_words[:-3] + "く" + + return "%s%s%s" % (prefix, year_words, "ねん" if reading else "年") + + # Era calendar (default) + min_year = ERA_START[0][0] + last_era_idx = len(ERA_START) - 1 + if year < min_year: + raise ValueError( + "Can't convert years less than %s to era" % min_year) + + first = 0 + last = last_era_idx + era_idx = None + while era_idx is None: + mid = (first + last) // 2 + if mid == last_era_idx or (ERA_START[mid][0] <= year and + ERA_START[mid + 1][0] > year): + era_idx = mid + # if an era lasting less than a year is preferred, choose it + if prefer: + i = mid - 1 + while i >= 0 and ERA_START[i][0] == year: + # match kanji or hiragana + if set(ERA_START[i][1]) & set(prefer): + era_idx = i + break + i -= 1 + + # ends up at the last index where year >= ERA_START[mid][0] + if year < ERA_START[mid][0]: + last = mid - 1 + else: + first = mid + 1 + + era = ERA_START[era_idx] + era_name = era[1][0] + era_year = year - era[0] + 1 + fmt = "%s%s年" + if reading == "arabic": + era_year_words = str(era_year) + elif reading: + era_name = era[1][1] + era_year_words = (self.to_cardinal(era_year, reading=True, + prefer=prefer) + if era_year != 1 else "がん") + if era_year % 10 == 9: + era_year_words = era_year_words[:-3] + "く" + fmt = "%s%sねん" + else: + era_year_words = (self.to_cardinal(era_year, reading=False, + prefer=prefer) + if era_year != 1 else "元") + + return fmt % (era_name, era_year_words) + + def to_currency(self, val, currency="JPY", cents=False, separator="", + adjective=False, reading=False, prefer=None): + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=cents) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + if (cents or abs(val) != left) and not cr2: + raise ValueError('Decimals not supported for "%s"' % currency) + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency(self.CURRENCY_ADJECTIVES[currency], cr1) + + minus_str = self.negword if is_negative else "" + + return '%s%s%s%s%s' % ( + minus_str, + self.to_cardinal(left, reading=reading, prefer=prefer), + cr1[1] if reading else cr1[0], + self.to_cardinal(right, reading=reading, prefer=prefer) + if cr2 else '', + (cr2[1] if reading else cr2[0]) if cr2 else '', + ) + + def splitnum(self, value, reading, prefer): + for elem in self.cards: + if elem > value: + continue + + out = [] + if value == 0: + div, mod = 1, 0 + else: + div, mod = divmod(value, elem) + + if div == 1: + out.append((select_text(self.cards[1], reading, prefer), 1)) + else: + if div == value: # The system tallies, eg Roman Numerals + return [( + div * select_text(self.cards[elem], reading, prefer), + div * elem)] + out.append(self.splitnum(div, reading, prefer)) + + out.append((select_text(self.cards[elem], reading, prefer), elem)) + + if mod: + out.append(self.splitnum(mod, reading, prefer)) + + return out + + def to_cardinal(self, value, reading=False, prefer=None): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value, reading=reading, + prefer=prefer) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value, reading, prefer) + words, _ = self.clean(val) + return self.title(out + words) + + def to_cardinal_float(self, value, reading=False, prefer=None): + prefer = prefer or ["れい"] + try: + float(value) == value + except (ValueError, TypeError, AssertionError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre, reading=reading, prefer=prefer)] + if self.precision: + out.append(self.title(self.pointword[1 if reading else 0])) + + for i in range(self.precision): + curr = int(post[i]) + out.append(to_s( + self.to_cardinal(curr, reading=reading, prefer=prefer))) + + return "".join(out) diff --git a/ext/py/num2words/num2words/lang_KN.py b/ext/py/num2words/num2words/lang_KN.py new file mode 100644 index 0000000..3bc1cca --- /dev/null +++ b/ext/py/num2words/num2words/lang_KN.py @@ -0,0 +1,182 @@ +# -*- encoding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_KN(Num2Word_EU): + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def setup(self): + self.low_numwords = [ + "ತೊಂಬತ್ತೊಂಬತ್ತು", + "ತೊಂಬತ್ತೆಂಟು", + "ತೊಂಬತ್ತೇಳು", + "ತೊಂಬತ್ತಾರು", + "ತೊಂಬತ್ತೈದು", + "ತೊಂಬತ್ತ ನಾಲ್ಕು", + "ತೊಂಬತ್ತ ಮೂರು", + "ತೊಂಬತ್ತೆರಡು", + "ತೊಂಬತ್ತೊಂದು", + "ತೊಂಬತ್ತು", + "ಎಂಬತ್ತೊಂಬತ್ತು", + "ಎಂಬತ್ತೆಂಟು", + "ಎಂಬತ್ತೇಳು", + "ಎಂಬತ್ತಾರು", + "ಎಂಬತ್ತೈದು", + "ಎಂಬತ್ತ್ ನಾಲ್ಕು", + "ಎಂಬತ್ತ್ ಮೂರು", + "ಎಂಬತ್ತೆರಡು", + "ಎಂಬತ್ತೊಂದು", + "ಎಂಬತ್ತು", + "ಎಪ್ಪತ್ತೊಂಬತ್ತು", + "ಎಪ್ಪತ್ತೆಂಟು", + "ಎಪ್ಪತ್ತೇಳು", + "ಎಪ್ಪತ್ತಾರು", + "ಎಪ್ಪತ್ತೈದು", + "ಎಪ್ಪತ್ತ್ ನಾಲ್ಕು", + "ಎಪ್ಪತ್ತ್ ಮೂರು", + "ಎಪ್ಪತ್ತೆರಡು", + "ಎಪ್ಪತ್ತೊಂದು", + "ಎಪ್ಪತ್ತು", + "ಅರವತ್ತೊಂಬತ್ತು", + "ಅರವತ್ತೆಂಟು", + "ಅರವತ್ತೇಳು", + "ಅರವತ್ತಾರು", + "ಅರವತ್ತೈದು", + "ಅರವತ್ತ್ ನಾಲ್ಕು", + "ಅರವತ್ತ್ ಮೂರು", + "ಅರವತ್ತೆರಡು", + "ಅರವತ್ತೊಂದು", + "ಅರವತ್ತು", + "ಐವತ್ತೊಂಬತ್ತು", + "ಐವತ್ತೆಂಟು", + "ಐವತ್ತೇಳು", + "ಐವತ್ತಾರು", + "ಐವತ್ತೈದು", + "ಐವತ್ತ್ನಾಲ್ಕು", + "ಐವತ್ತಮೂರು", + "ಐವತ್ತೆರಡು", + "ಐವತ್ತೊಂದು", + "ಐವತ್ತು", + "ನಲವತ್ತೊಂಬತ್ತು", + "ನಲವತ್ತೆಂಟು", + "ನಲವತ್ತೇಳು", + "ನಲವತ್ತಾರು", + "ನಲವತ್ತೈದು", + "ನಲವತ್ತ್ ನಾಲ್ಕು", + "ನಲವತ್ತ್ ಮೂರು", + "ನಲವತ್ತ್ ಎರಡು", + "ನಲವತ್ತೊಂದು", + "ನಲವತ್ತು", + "ಮೂವತ್ತ್ ಒಂಬತ್ತು", + "ಮೂವತ್ಎಂಟು", + "ಮೂವತ್ಏಳು", + "ಮೂವತ್ಆರು", + "ಮೂವತ್ತ್ ಐದು", + "ಮೂವತ್ತ್ ನಾಲ್ಕು", + "ಮೂವತ್ತ್ ಮೂರು", + "ಮೂವತ್ತ್ಎರಡು", + "ಮೂವತ್ತ್ಒಂದು", + "ಮೂವತ್ತು", + "ಇಪ್ಪತ್ತ್ಒಂಬತ್ತು", + "ಇಪ್ಪತ್ತ್ಎಂಟು", + "ಇಪ್ಪತ್ತ್ಏಳು", + "ಇಪ್ಪತ್ತ್ಆರು", + "ಇಪ್ಪತ್ತ್ ಐದು", + "ಇಪ್ಪತ್ತ್ ನಾಲ್ಕು", + "ಇಪ್ಪತ್ತ್ ಮೂರು", + "ಇಪ್ಪತ್ತ್ ಎರಡು", + "ಇಪ್ಪತ್ತ್ ಒಂದು", + "ಇಪ್ಪತ್ತು", + "ಹತ್ತೊಂಬತ್ತು", + "ಹದಿನೆಂಟು", + "ಹದಿನೇಳು", + "ಹದಿನಾರು", + "ಹದಿನೈದು", + "ಹದಿನಾಲ್ಕು", + "ಹದಿಮೂರು", + "ಹನ್ನೆರಡು", + "ಹನ್ನೊಂದು", + "ಹತ್ತು", + "ಒಂಬತ್ತು", + "ಎಂಟು", + "ಏಳು", + "ಆರು", + "ಐದು", + "ನಾಲ್ಕು", + "ಮೂರು", + "ಎರಡು", + "ಒಂದು", + "ಸೊನ್ನೆ", + ] + + self.mid_numwords = [(100, "ನೂರು")] + + self.high_numwords = [(7, "ಕೋಟಿ"), (5, "ಒಂದು ಲಕ್ಷ"), (3, "ಸಾವಿರ")] + + self.pointword = "ಬಿಂದು" + + self.modifiers = [ + "್", + "ಾ", + "ಿ", + "ೀ", + "ೀ", + "ು", + "ೂ", + "ೃ", + "ೆ", + "ೇ", + "ೈ", + "ೊ", + "ೋ", + "ೌ", + "ೕ", + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + if ltext[-1] in self.modifiers: + return ("%s %s" % (ltext[:-1], rtext), lnum + rnum) + else: + return ("%s %s" % (ltext + "ದ", rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value) + if outwords[-1] in self.modifiers: + outwords = outwords[:-1] + ordinal_num = outwords + "ನೇ" + return ordinal_num diff --git a/ext/py/num2words/num2words/lang_KO.py b/ext/py/num2words/num2words/lang_KO.py new file mode 100644 index 0000000..65f4531 --- /dev/null +++ b/ext/py/num2words/num2words/lang_KO.py @@ -0,0 +1,148 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts + + +class Num2Word_KO(Num2Word_Base): + CURRENCY_FORMS = { + 'KRW': ('원', None), + 'USD': ('달러', '센트'), + 'JPY': ('엔', None) + } + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def setup(self): + super(Num2Word_KO, self).setup() + + self.negword = "마이너스 " + self.pointword = "점" + + self.high_numwords = [ + '무량대수', + '불가사의', + '나유타', + '아승기', + '항하사', + '극', + '재', + '정', + '간', + '구', + '양', + '자', + '해', + '경', + '조', + '억', + '만'] + self.mid_numwords = [(1000, "천"), (100, "백")] + self.low_numwords = ["십", "구", "팔", "칠", "육", "오", "사", "삼", "이", + "일", "영"] + self.ords = {"일": "한", + "이": "두", + "삼": "세", + "사": "네", + "오": "다섯", + "육": "여섯", + "칠": "일곱", + "팔": "여덟", + "구": "아홉", + "십": "열", + "이십": "스물", + "삼십": "서른", + "사십": "마흔", + "오십": "쉰", + "육십": "예순", + "칠십": "일흔", + "팔십": "여든", + "구십": "아흔"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum <= 10000: + return rpair + elif 10000 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 10000 and lnum > rnum: + return ("%s %s" % (ltext, rtext), lnum + rnum) + else: + return ("%s%s" % (ltext, rtext), lnum * rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "첫 번째" + outwords = self.to_cardinal(value).split(" ") + lastwords = outwords[-1].split("백") + if "십" in lastwords[-1]: + ten_one = lastwords[-1].split("십") + ten_one[0] = self.ords[ten_one[0] + "십"] + try: + ten_one[1] = self.ords[ten_one[1]] + ten_one[0] = ten_one[0].replace("스무", "스물") + except KeyError: + pass + lastwords[-1] = ''.join(ten_one) + else: + lastwords[-1] = self.ords[lastwords[-1]] + outwords[-1] = "백 ".join(lastwords) + return " ".join(outwords) + " 번째" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s 번째" % (value) + + def to_year(self, val, suffix=None, longval=True): + if val < 0: + val = abs(val) + suffix = '기원전' if not suffix else suffix + valtext = self.to_cardinal(val) + return ("%s년" % valtext if not suffix + else "%s %s년" % (suffix, valtext)) + + def to_currency(self, val, currency="KRW", cents=False, separator="", + adjective=False): + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=cents) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + if (cents or right) and not cr2: + raise ValueError('Decimals not supported for "%s"' % currency) + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = self.negword if is_negative else "" + return '%s%s%s%s%s' % ( + minus_str, + ''.join(self.to_cardinal(left).split()), + cr1, + ' ' + self.to_cardinal(right) + if cr2 else '', + cr2 if cr2 else '', + ) diff --git a/ext/py/num2words/num2words/lang_KZ.py b/ext/py/num2words/num2words/lang_KZ.py new file mode 100644 index 0000000..67df20e --- /dev/null +++ b/ext/py/num2words/num2words/lang_KZ.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = 'нөл' + +ONES = { + 1: 'бір', + 2: 'екі', + 3: 'үш', + 4: 'төрт', + 5: 'бес', + 6: 'алты', + 7: 'жеті', + 8: 'сегіз', + 9: 'тоғыз', +} + +TEN = 'он' + +TWENTIES = { + 2: 'жиырма', + 3: 'отыз', + 4: 'қырық', + 5: 'елу', + 6: 'алпыс', + 7: 'жетпіс', + 8: 'сексен', + 9: 'тоқсан', +} + +HUNDRED = 'жүз' + +THOUSANDS = { + 1: 'мың', + 2: 'миллион', + 3: 'миллиард', + 4: 'триллион', + 5: 'квадриллион', + 6: 'квинтиллион', + 7: 'секстиллион', + 8: 'септиллион', + 9: 'октиллион', + 10: 'нониллион', +} + + +class Num2Word_KZ(Num2Word_Base): + CURRENCY_FORMS = { + 'USD': ('доллар', 'цент'), + 'KZT': ('теңге', 'тиын'), + } + + def setup(self): + self.negword = "минус" + self.pointword = "бүтін" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + (ZERO + ' ') * leading_zero_count + self._int2word(int(right)) + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, form): + return form + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency == 'KZT') + + def _int2word(self, n, feminine=False): + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n))]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if n3 > 1: + words.append(ONES[n3]) + words.append(HUNDRED) + + if n2 == 1: + words.append(TEN) + elif n2 > 1: + words.append(TWENTIES[n2]) + + if n1 > 0: + words.append(ONES[n1]) + + if i > 0: + words.append(THOUSANDS[i]) + + return ' '.join(words) + + def to_ordinal(self, number): + # TODO: Implement to_ordinal + raise NotImplementedError() diff --git a/ext/py/num2words/num2words/lang_LT.py b/ext/py/num2words/num2words/lang_LT.py new file mode 100644 index 0000000..8f723e8 --- /dev/null +++ b/ext/py/num2words/num2words/lang_LT.py @@ -0,0 +1,182 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nulis',) + +ONES_FEMININE = { + 1: ('viena',), + 2: ('dvi',), + 3: ('trys',), + 4: ('keturios',), + 5: ('penkios',), + 6: ('šešios',), + 7: ('septynios',), + 8: ('aštuonios',), + 9: ('devynios',), +} + +ONES = { + 1: ('vienas',), + 2: ('du',), + 3: ('trys',), + 4: ('keturi',), + 5: ('penki',), + 6: ('šeši',), + 7: ('septyni',), + 8: ('aštuoni',), + 9: ('devyni',), +} + +TENS = { + 0: ('dešimt',), + 1: ('vienuolika',), + 2: ('dvylika',), + 3: ('trylika',), + 4: ('keturiolika',), + 5: ('penkiolika',), + 6: ('šešiolika',), + 7: ('septyniolika',), + 8: ('aštuoniolika',), + 9: ('devyniolika',), +} + +TWENTIES = { + 2: ('dvidešimt',), + 3: ('trisdešimt',), + 4: ('keturiasdešimt',), + 5: ('penkiasdešimt',), + 6: ('šešiasdešimt',), + 7: ('septyniasdešimt',), + 8: ('aštuoniasdešimt',), + 9: ('devyniasdešimt',), +} + +HUNDRED = ('šimtas', 'šimtai') + +THOUSANDS = { + 1: ('tūkstantis', 'tūkstančiai', 'tūkstančių'), + 2: ('milijonas', 'milijonai', 'milijonų'), + 3: ('milijardas', 'milijardai', 'milijardų'), + 4: ('trilijonas', 'trilijonai', 'trilijonų'), + 5: ('kvadrilijonas', 'kvadrilijonai', 'kvadrilijonų'), + 6: ('kvintilijonas', 'kvintilijonai', 'kvintilijonų'), + 7: ('sikstilijonas', 'sikstilijonai', 'sikstilijonų'), + 8: ('septilijonas', 'septilijonai', 'septilijonų'), + 9: ('oktilijonas', 'oktilijonai', 'oktilijonų'), + 10: ('naintilijonas', 'naintilijonai', 'naintilijonų'), +} + +GENERIC_CENTS = ('centas', 'centai', 'centų') + + +class Num2Word_LT(Num2Word_Base): + CURRENCY_FORMS = { + 'LTL': (('litas', 'litai', 'litų'), GENERIC_CENTS), + 'EUR': (('euras', 'eurai', 'eurų'), GENERIC_CENTS), + 'USD': (('doleris', 'doleriai', 'dolerių'), GENERIC_CENTS), + 'GBP': ( + ('svaras sterlingų', 'svarai sterlingų', 'svarų sterlingų'), + ('pensas', 'pensai', 'pensų') + ), + 'PLN': ( + ('zlotas', 'zlotai', 'zlotų'), + ('grašis', 'grašiai', 'grašių')), + 'RUB': ( + ('rublis', 'rubliai', 'rublių'), + ('kapeika', 'kapeikos', 'kapeikų') + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "kablelis" + + def pluralize(self, n, forms): + n1, n2, n3 = get_digits(n) + if n2 == 1 or n1 == 0 or n == 0: + return forms[2] + elif n1 == 1: + return forms[0] + else: + return forms[1] + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + base_str, n = self.parse_minus(n) + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return '%s%s %s %s' % ( + base_str, + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return "%s%s" % (base_str, self._int2word(int(n))) + + def to_ordinal(self, number): + raise NotImplementedError() + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency == 'RUB') + + def _int2word(self, n, feminine=False): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(ONES[n3][0]) + if n3 > 1: + words.append(HUNDRED[1]) + else: + words.append(HUNDRED[0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0: + if (i == 1 or feminine and i == 0) and n < 1000: + words.append(ONES_FEMININE[n1][0]) + else: + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/num2words/lang_LV.py b/ext/py/num2words/num2words/lang_LV.py new file mode 100644 index 0000000..6e71c60 --- /dev/null +++ b/ext/py/num2words/num2words/lang_LV.py @@ -0,0 +1,189 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nulle',) + +ONES = { + 1: ('viens',), + 2: ('divi',), + 3: ('trīs',), + 4: ('četri',), + 5: ('pieci',), + 6: ('seši',), + 7: ('septiņi',), + 8: ('astoņi',), + 9: ('deviņi',), +} + +TENS = { + 0: ('desmit',), + 1: ('vienpadsmit',), + 2: ('divpadsmit',), + 3: ('trīspadsmit',), + 4: ('četrpadsmit',), + 5: ('piecpadsmit',), + 6: ('sešpadsmit',), + 7: ('septiņpadsmit',), + 8: ('astoņpadsmit',), + 9: ('deviņpadsmit',), +} + +TWENTIES = { + 2: ('divdesmit',), + 3: ('trīsdesmit',), + 4: ('četrdesmit',), + 5: ('piecdesmit',), + 6: ('sešdesmit',), + 7: ('septiņdesmit',), + 8: ('astoņdesmit',), + 9: ('deviņdesmit',), +} + +HUNDRED = ('simts', 'simti', 'simtu') + +THOUSANDS = { + 1: ('tūkstotis', 'tūkstoši', 'tūkstošu'), + 2: ('miljons', 'miljoni', 'miljonu'), + 3: ('miljards', 'miljardi', 'miljardu'), + 4: ('triljons', 'triljoni', 'triljonu'), + 5: ('kvadriljons', 'kvadriljoni', 'kvadriljonu'), + 6: ('kvintiljons', 'kvintiljoni', 'kvintiljonu'), + 7: ('sikstiljons', 'sikstiljoni', 'sikstiljonu'), + 8: ('septiljons', 'septiljoni', 'septiljonu'), + 9: ('oktiljons', 'oktiljoni', 'oktiljonu'), + 10: ('nontiljons', 'nontiljoni', 'nontiljonu'), +} + +GENERIC_DOLLARS = ('dolārs', 'dolāri', 'dolāru') +GENERIC_CENTS = ('cents', 'centi', 'centu') + +GENERIC_KRONA = ('krona', 'kronas', 'kronu') +GENERIC_ERA = ('ēre', 'ēras', 'ēru') + + +class Num2Word_LV(Num2Word_Base): + """ + Sadly we have a legal form (used in legal and finance documents): + http://www.eiro.lv/files/upload/files/Eiro_rakstiba-1.pdf + https://likumi.lv/doc.php?id=254741 + http://eur-lex.europa.eu/legal-content/LV/TXT/HTML/?uri=CELEX:31998R0974&from=LV + + Source: http://publications.europa.eu/code/lv/lv-5000500.htm + """ + CURRENCY_FORMS = { + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + # repalced by EUR + 'EEK': (GENERIC_KRONA, GENERIC_CENTS), + 'EUR': (('eiro', 'eiro', 'eiro'), GENERIC_CENTS), + 'EUR_LEGAL': (('euro', 'euro', 'euro'), GENERIC_CENTS), + 'GBP': ( + ('sterliņu mārciņa', 'sterliņu mārciņas', 'sterliņu mārciņu'), + ('penss', 'pensi', 'pensu')), + # replaced by EUR + 'LTL': (('lits', 'liti', 'litu'), GENERIC_CENTS), + # replaced by EUR + 'LVL': (('lats', 'lati', 'latu'), + ('santīms', 'santīmi', 'santīmu')), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'RUB': (('rublis', 'rubļi', 'rubļu'), + ('kapeika', 'kapeikas', 'kapeiku')), + 'SEK': (GENERIC_KRONA, GENERIC_ERA), + 'NOK': (GENERIC_KRONA, GENERIC_ERA), + 'PLN': (('zlots', 'zloti', 'zlotu'), + ('grasis', 'graši', 'grašu')), + } + + CURRENCY_ADJECTIVES = { + 'AUD': 'Austrālijas', + 'CAD': 'Kanādas', + 'EEK': 'Igaunijas', + 'USD': 'ASV', + 'RUB': 'Kreivijas', + 'SEK': 'Zviedrijas', + 'NOK': 'Norvēģijas', + } + + def setup(self): + self.negword = "mīnus" + self.pointword = "komats" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + base_str, n = self.parse_minus(n) + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return '%s%s %s %s' % ( + base_str, + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return "%s%s" % (base_str, self._int2word(int(n))) + + def pluralize(self, n, forms): + form = 0 if (n % 10 == 1 and n % 100 != 11) else 1 if n != 0 else 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + if n3 == 1 and n2 == 0 and n1 > 0: + words.append(HUNDRED[2]) + elif n3 > 1: + words.append(ONES[n3][0]) + words.append(HUNDRED[1]) + else: + words.append(HUNDRED[0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/num2words/lang_MN.py b/ext/py/num2words/num2words/lang_MN.py new file mode 100644 index 0000000..d7cc3d4 --- /dev/null +++ b/ext/py/num2words/num2words/lang_MN.py @@ -0,0 +1,274 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts +from .utils import get_digits, splitbyx + +ZERO = 'тэг' + +ONES = { + 1: ('нэг', 'нэг'), + 2: ('хоёр', 'хоёр'), + 3: ('гурав', 'гурван'), + 4: ('дөрөв', 'дөрвөн'), + 5: ('тав', 'таван'), + 6: ('зургаа', 'зургаан'), + 7: ('долоо', 'долоон'), + 8: ('найм', 'найман'), + 9: ('ес', 'есөн'), +} + +TEN = ('арав', 'арван') + +TWENTIES = { + 2: ('хорь', 'хорин'), + 3: ('гуч', 'гучин'), + 4: ('дөч', 'дөчин'), + 5: ('тавь', 'тавин'), + 6: ('жар', 'жаран'), + 7: ('дал', 'далан'), + 8: ('ная', 'наян'), + 9: ('ер', 'ерэн'), +} + +HUNDRED = ('зуу', 'зуун') + +THOUSANDS = { + 1: "мянга", # 10^3 + 2: "сая", # 10^6 + 3: "тэрбум", # 10^9 + 4: "их наяд", # 10^12 + 5: "тунамал", # 10^15 + 6: "их ингүүмэл", # 10^18 + 7: "ялгаруулагч", # 10^21 + 8: "их өөр дээр", # 10^24 + 9: "хязгаар үзэгдэл", # 10^27 + 10: "их шалтгааны зүйл", # 10^30 + 11: "эрхт", # 10^33 + 12: "их сайтар хүргэсэн", # 10^36 + 13: "живэх тоосон билэг", # 10^39 + 14: "их билэг тэмдэг", # 10^42 + 15: "тохио мэдэхүй", # 10^45 + 16: "их тийн болсон", # 10^48 + 17: "асрахуй", # 10^51 + 18: "их нигүүлсэнгүй", # 10^54 + 19: "тоолшгүй", # 10^57 + 20: "өгүүлшгүй", # 10^60 + 21: "үлэшгүй", # 10^63 + 22: "сэтгэшгүй", # 10^66 +} + +POINT_WORDS = { + 1: 'аравны', + 2: 'зууны', + 3: 'мянганы', + 4: 'арван мянганы', + 5: 'зуун мянганы', + 6: 'саяны', +} + + +class Num2Word_MN(Num2Word_Base): + + CURRENCY_FORMS = { + "AED": (("дирхам",), ("филс",)), + "AUD": (("доллар",), ("цент",)), + "BGN": (("лев",), ("стотинка",)), + "CAD": (("доллар",), ("цент",)), + "CHF": (("франк",), ("раппен",)), + "CNY": (("юань",), ("фэнь",)), + "CZK": (("крон",), ("галерж",)), + "DKK": (("крон",), ("өре",)), + "EGP": (("фунт",), ("пиастр",)), + "EUR": (("евро",), ("цент",)), + "GBP": (("фунт стерлинг",), ("пенс",)), + "HKD": (("доллар",), ("цент",)), + "HUF": (("форинт",), ("филлер",)), + "IDR": (("рупи",), ("сен",)), + "INR": (("рупи",), ("пайса",)), + "JPY": (("иен",), ("сен",)), + "KPW": (("вон",), ("чон",)), + "KRW": (("вон",), ("чон",)), + "KWD": (("динaр",), ("филс",)), + "KZT": (("тенге",), ("тийн",)), + "MNT": (("төгрөг",), ("мөнгө",)), + "MYR": (("ринггит",), ("сен",)), + "NOK": (("крон",), ("өре",)), + "NPR": (("рупи",), ("пайса",)), + "NZD": (("доллар",), ("цент",)), + "PLN": (("злот",), ("грош",)), + "RUB": (("рубль",), ("копейк",)), + "SEK": (("крон",), ("өре",)), + "SGD": (("доллар",), ("цент",)), + "THB": (("бат",), ("сатанг",)), + "TRY": (("лира",), ("куруш",)), + "TWD": (("доллар",), ("сентао",)), + "UAH": (("гривн",), ("копейк",)), + "USD": (("доллар",), ("цент",)), + "VND": (("донг",), ("су",)), + "ZAR": (("ранд",), ("сента",)) + } + + CURRENCY_ADJECTIVES = { + "AUD": "Австралийн", + "CAD": "Канадын", + "CZK": "Чехийн ", + "DKK": "Данийн", + "HKD": "Хонконг", + "IDR": "Индонезийн", + "INR": "Энэтхэгийн", + "KPW": "БНАСАУ-ын", + "KRW": "БНСУ-ын", + "NOK": "Норвегийн", + "NPR": "Непалын", + "NZD": "Шинэ Зеландын", + "SEK": "Шведийн", + "SGD": "Сингапур", + "TWD": "Тайванийн", + "USD": "Америк" + } + + def setup(self): + self.negword = "хасах" + + def to_cardinal(self, value, all_suffixed=False): + n = str(value).replace(',', '.') + if '.' in n: + left, right = n.split('.') + + # Бутархай хэсэг нь тэг бол бүхэл тоо шиг хувирна + if int(right) == 0: + return self._int2word(int(left), all_suffixed=all_suffixed) + + fractional_length = len(right) + if fractional_length > 6: + raise NotImplementedError() + + return '%s, %s %s' % ( + self._int2word(int(left), all_suffixed=all_suffixed), + POINT_WORDS[fractional_length], + self._int2word(int(right), all_suffixed=all_suffixed) + ) + else: + return self._int2word(int(n), all_suffixed=all_suffixed) + + def pluralize(self, n, form): + return form[0] + + def _int2word(self, n, all_suffixed=False): + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n))]) + + if n == 0: + return ZERO + + words = [] + chunks = list(splitbyx(str(n), 3)) + + i = len(chunks) + + for x in chunks: + + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + use_suffix1 = use_suffix2 = use_suffix3 = True + if (not all_suffixed) and i == 0: + if n1 == 0 and n2 == 0: + use_suffix3 = False + elif n1 == 0: + use_suffix2 = False + else: + use_suffix1 = False + + if n3 > 0: + if n3 > 1: + words.append(ONES[n3][1]) + words.append(HUNDRED[1 if use_suffix3 else 0]) + + if n2 == 1: + words.append(TEN[1 if use_suffix2 else 0]) + elif n2 > 1: + words.append(TWENTIES[n2][1 if use_suffix2 else 0]) + + if n1 > 0: + words.append(ONES[n1][1 if use_suffix1 else 0]) + + if i > 0: + words.append(THOUSANDS[i]) + + if all_suffixed and words and words[-1] == 'мянга': + words[-1] = 'мянган' + + return ' '.join(words) + + def to_ordinal(self, value): + number = int(value) + return "%s %s" % ( + self.to_cardinal(number), + self._get_ordinal_suffix(number), + ) + + def to_ordinal_num(self, value): + number = int(value) + return '%s %s' % (number, self._get_ordinal_suffix(number)) + + def _get_ordinal_suffix(self, number): + number_str = str(number) + suffix = 'дугаар' + if number_str[-1] != '0': + if number_str[-1] in ('1', '4', '9'): + suffix = 'дүгээр' + elif number_str[-2] != '0': + if number_str[-2] in ('4', '9'): + suffix = 'дүгээр' + return suffix + + def to_year(self, value): + prefix = '' + if value < 0: + value = abs(value) + prefix = 'МЭӨ ' + return '%s%s он' % (prefix, self.to_cardinal(value, all_suffixed=True)) + + def _money_verbose(self, number, currency): + return self.to_cardinal(number, all_suffixed=True) + + def _cents_verbose(self, number, currency): + return self.to_cardinal(number, all_suffixed=True) + + def to_currency(self, val, currency='MNT', cents=True, separator=',', + adjective=True): + left, right, is_negative = parse_currency_parts(val) + if isinstance(val, float) and int(right) == 0: # Бутархай орон нь 0 + val = int(left) * 100 + return super( + Num2Word_MN, self + ).to_currency( + val, + currency=currency, + cents=cents, + separator=separator, + adjective=adjective, + ) diff --git a/ext/py/num2words/num2words/lang_NL.py b/ext/py/num2words/num2words/lang_NL.py new file mode 100644 index 0000000..7251e2a --- /dev/null +++ b/ext/py/num2words/num2words/lang_NL.py @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import print_function, unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_NL(Num2Word_EU): + CURRENCY_FORMS = { + 'EUR': (('euro', 'euro'), ('cent', 'cent')), + 'GBP': (('pond', 'pond'), ('penny', 'pence')), + 'USD': (('dollar', 'dollar'), ('cent', 'cent')), + 'CNY': (('yuan', 'yuan'), ('jiao', 'fen')), + } + + GIGA_SUFFIX = "iljard" + MEGA_SUFFIX = "iljoen" + + def setup(self): + super(Num2Word_NL, self).setup() + + self.negword = "min " + self.pointword = "komma" + # "Cannot treat float %s as ordinal." + self.errmsg_floatord = ( + "Het zwevende puntnummer %s kan niet omgezet worden " + + "naar een ordernummer." + ) + # "type(((type(%s)) ) not in [long, int, float]" + self.errmsg_nonnum = ( + "Alleen nummers (type (%s)) kunnen naar " + + "woorden omgezet worden." + ) + # "Cannot treat negative num %s as ordinal." + self.errmsg_negord = ( + "Het negatieve getal %s kan niet omgezet " + + "worden naar een ordernummer." + ) + # "abs(%s) must be less than %s." + self.errmsg_toobig = "Het getal %s moet minder zijn dan %s." + self.exclude_title = [] + + lows = ["non", "okt", "sept", "sext", "quint", "quadr", "tr", "b", "m"] + units = ["", "un", "duo", "tre", "quattuor", "quin", "sex", "sept", + "okto", "novem"] + tens = ["dez", "vigint", "trigint", "quadragint", "quinquagint", + "sexagint", "septuagint", "oktogint", "nonagint"] + + self.high_numwords = ( + ["zend"] + self.gen_high_numwords(units, tens, lows)) + + self.mid_numwords = [(1000, "duizend"), (100, "honderd"), + (90, "negentig"), (80, "tachtig"), + (70, "zeventig"), (60, "zestig"), + (50, "vijftig"), (40, "veertig"), + (30, "dertig")] + + self.low_numwords = ["twintig", "negentien", "achttien", "zeventien", + "zestien", "vijftien", "veertien", "dertien", + "twaalf", "elf", "tien", "negen", "acht", "zeven", + "zes", "vijf", "vier", "drie", "twee", "één", + "nul"] + + # Wiktionary says it is "nulde", not "nulte" or "nule" + # https://en.wiktionary.org/wiki/nulde + self.ords = {"nul": "nuld", + "één": "eerst", + "twee": "tweed", + "drie": "derd", + "vier": "vierd", + "vijf": "vijfd", + "zes": "zesd", + "zeven": "zevend", + "acht": "achtst", + "negen": "negend", + "tien": "tiend", + "elf": "elfd", + "twaalf": "twaalfd", + + "ig": "igst", + "erd": "erdst", + "end": "endst", + "joen": "joenst", + "rd": "rdst"} + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 10 ** 6: + return next + ctext = "een" + + if nnum > cnum: + if nnum >= 10 ** 6: + ctext += " " + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + if nnum == 1: + ntext = "een" + + if ntext.endswith("e"): + ntext += "ën" # "n" + else: + ntext += "en" + ntext, ctext = ctext, ntext # + "en" + elif cnum >= 10 ** 6: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return word, val + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value) + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + return outword + "e" + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "e" + + def pluralize(self, n, forms): + """ + :param n: + :param forms: + :return: + + gettext form is nplurals=2; plural=(n != 1); + but this claims https://onzetaal.nl/taaladvies/euro-euros/ + not sure if it's applied only to euro + """ + return forms[0] + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="honderd", longval=longval) diff --git a/ext/py/num2words/num2words/lang_NO.py b/ext/py/num2words/num2words/lang_NO.py new file mode 100644 index 0000000..b4d3338 --- /dev/null +++ b/ext/py/num2words/num2words/lang_NO.py @@ -0,0 +1,122 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_NO(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "illard" + MEGA_SUFFIX = "illion" + CURRENCY_FORMS = {'NOK': (('krone', 'kroner'), ('øre', 'øre'))} + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_NO, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["og", "komma", "minus"] + + self.mid_numwords = [(1000, "tusen"), (100, "hundre"), + (90, "nitti"), (80, "\xe5tti"), (70, "sytti"), + (60, "seksti"), (50, "femti"), (40, "f\xf8rti"), + (30, "tretti")] + self.low_numwords = ["tjue", "nitten", "atten", "sytten", + "seksten", "femten", "fjorten", "tretten", + "tolv", "elleve", "ti", "ni", "\xe5tte", + "syv", "seks", "fem", "fire", "tre", "to", + "en", "null"] + self.ords_pl = {"to": "andre", + "tre": "tredje", + "fire": "fjerde", + "fem": "femte", + "seks": "sjette", + "syv": "syvende", + "\xe5tte": "\xe5ttende", + "ni": "niende", + "ti": "tiende", + "elleve": "ellevte", + "tolv": "tolvte", + "fjorten": "fjortende", + "femten": "femtende", + "seksten": "sekstende", + "sytten": "syttende", + "atten": "attende", + "nitten": "nittende", + "tjue": "tjuende", + "hundre": "hundrede", + "tusen": "tusende", + "million": "millionte"} + # this needs to be done separately to not block 13-19 to_ordinal + self.ords_sg = {"en": "f\xf8rste"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s og %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outword = self.to_cardinal(value) + for key in self.ords_pl: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords_pl[key] + break + for key in self.ords_sg: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords_sg[key] + break + return outword + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_year(self, val, longval=True): + if not (val // 100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundre", jointxt="og", + longval=longval) + + def to_currency(self, val, currency='NOK', cents=True, separator=' og', + adjective=False): + result = super(Num2Word_NO, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + + # do not print "og null øre" + result = result.replace(' og null øre', '') + return result diff --git a/ext/py/num2words/num2words/lang_PL.py b/ext/py/num2words/num2words/lang_PL.py new file mode 100644 index 0000000..376b0a1 --- /dev/null +++ b/ext/py/num2words/num2words/lang_PL.py @@ -0,0 +1,272 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +import itertools + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('zero',) + +ONES = { + 1: ('jeden',), + 2: ('dwa',), + 3: ('trzy',), + 4: ('cztery',), + 5: ('pięć',), + 6: ('sześć',), + 7: ('siedem',), + 8: ('osiem',), + 9: ('dziewięć',), +} + +ONES_ORDINALS = { + 1: ('pierwszy', "pierwszo"), + 2: ('drugi', "dwu"), + 3: ('trzeci', "trzy"), + 4: ('czwarty', "cztero"), + 5: ('piąty', "pięcio"), + 6: ('szósty', "sześcio"), + 7: ('siódmy', "siedmio"), + 8: ('ósmy', "ośmio"), + 9: ('dziewiąty', "dziewięcio"), + 10: ('dziesiąty', "dziesięcio"), + 11: ('jedenasty', "jedenasto"), + 12: ('dwunasty', "dwunasto"), + 13: ('trzynasty', "trzynasto"), + 14: ('czternasty', "czternasto"), + 15: ('piętnasty', "piętnasto"), + 16: ('szesnasty', "szesnasto"), + 17: ('siedemnasty', "siedemnasto"), + 18: ('osiemnasty', "osiemnasto"), + 19: ('dziewiętnasty', "dziewiętnasto"), +} + +TENS = { + 0: ('dziesięć',), + 1: ('jedenaście',), + 2: ('dwanaście',), + 3: ('trzynaście',), + 4: ('czternaście',), + 5: ('piętnaście',), + 6: ('szesnaście',), + 7: ('siedemnaście',), + 8: ('osiemnaście',), + 9: ('dziewiętnaście',), +} + + +TWENTIES = { + 2: ('dwadzieścia',), + 3: ('trzydzieści',), + 4: ('czterdzieści',), + 5: ('pięćdziesiąt',), + 6: ('sześćdziesiąt',), + 7: ('siedemdziesiąt',), + 8: ('osiemdziesiąt',), + 9: ('dziewięćdziesiąt',), +} + +TWENTIES_ORDINALS = { + 2: ('dwudziesty', "dwudziesto"), + 3: ('trzydziesty', "trzydiesto"), + 4: ('czterdziesty', "czterdziesto"), + 5: ('pięćdziesiąty', "pięćdziesięcio"), + 6: ('sześćdziesiąty', "sześćdziesięcio"), + 7: ('siedemdziesiąty', "siedemdziesięcio"), + 8: ('osiemdziesiąty', "osiemdziesięcio"), + 9: ('dziewięćdziesiąty', "dziewięćdziesięcio"), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dwieście',), + 3: ('trzysta',), + 4: ('czterysta',), + 5: ('pięćset',), + 6: ('sześćset',), + 7: ('siedemset',), + 8: ('osiemset',), + 9: ('dziewięćset',), +} + +HUNDREDS_ORDINALS = { + 1: ('setny', "stu"), + 2: ('dwusetny', "dwustu"), + 3: ('trzysetny', "trzystu"), + 4: ('czterysetny', "czterystu"), + 5: ('pięćsetny', "pięcset"), + 6: ('sześćsetny', "sześćset"), + 7: ('siedemsetny', "siedemset"), + 8: ('osiemsetny', "ośiemset"), + 9: ('dziewięćsetny', "dziewięćset"), +} + +THOUSANDS = { + 1: ('tysiąc', 'tysiące', 'tysięcy'), # 10^3 +} + +prefixes_ordinal = { + 1: "tysięczny", + 2: "milionowy", + 3: "milairdowy" +} + +prefixes = ( # 10^(6*x) + "mi", # 10^6 + "bi", # 10^12 + "try", # 10^18 + "kwadry", # 10^24 + "kwinty", # 10^30 + "seksty", # 10^36 + "septy", # 10^42 + "okty", # 10^48 + "nony", # 10^54 + "decy" # 10^60 +) +suffixes = ("lion", "liard") # 10^x or 10^(x+3) + +for idx, (p, s) in enumerate(itertools.product(prefixes, suffixes)): + name = p + s + THOUSANDS[idx+2] = (name, name + 'y', name + 'ów') + + +class Num2Word_PL(Num2Word_Base): + CURRENCY_FORMS = { + 'PLN': ( + ('złoty', 'złote', 'złotych'), ('grosz', 'grosze', 'groszy') + ), + 'EUR': ( + ('euro', 'euro', 'euro'), ('cent', 'centy', 'centów') + ), + 'USD': ( + ( + 'dolar amerykański', + 'dolary amerykańskie', + 'dolarów amerykańskich' + ), + ( + 'cent', + 'centy', + 'centów' + ) + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "przecinek" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 5 > n % 10 > 1 and (n % 100 < 10 or n % 100 > 20): + form = 1 + else: + form = 2 + return forms[form] + + def last_fragment_to_ordinal(self, last, words, level): + n1, n2, n3 = get_digits(last) + last_two = n2*10+n1 + if last_two == 0: + words.append(HUNDREDS_ORDINALS[n3][level]) + elif level == 1 and last == 1: + return + elif last_two < 20: + if n3 > 0: + words.append(HUNDREDS[n3][level]) + words.append(ONES_ORDINALS[last_two][level]) + elif last_two % 10 == 0: + if n3 > 0: + words.append(HUNDREDS[n3][level]) + words.append(TWENTIES_ORDINALS[n2][level]) + else: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES_ORDINALS[n2][0]) + words.append(ONES_ORDINALS[n1][0]) + + def to_ordinal(self, number): + if number % 1 != 0: + raise NotImplementedError() + words = [] + fragments = list(splitbyx(str(number), 3)) + level = 0 + last = fragments[-1] + while last == 0: + level = level+1 + fragments.pop() + last = fragments[-1] + if len(fragments) > 1: + pre_part = self._int2word(number-(last*1000**level)) + words.append(pre_part) + self.last_fragment_to_ordinal(last, words, 0 if level == 0 else 1) + output = " ".join(words) + if last == 1 and level > 0 and output != "": + output = output + " " + if level > 0: + output = output + prefixes_ordinal[level] + return output + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][0]) + + if n2 > 1: + words.append(TWENTIES[n2][0]) + + if n2 == 1: + words.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + words.append(ONES[n1][0]) + + if i > 0: + words.append(self.pluralize(x, THOUSANDS[i])) + + return ' '.join(words) diff --git a/ext/py/num2words/num2words/lang_PT.py b/ext/py/num2words/num2words/lang_PT.py new file mode 100644 index 0000000..ddfa771 --- /dev/null +++ b/ext/py/num2words/num2words/lang_PT.py @@ -0,0 +1,241 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, unicode_literals + +import re + +from .lang_EU import Num2Word_EU + +DOLLAR = ('dólar', 'dólares') +CENTS = ('cêntimo', 'cêntimos') + + +class Num2Word_PT(Num2Word_EU): + + CURRENCY_FORMS = { + 'AUD': (DOLLAR, CENTS), + 'CAD': (DOLLAR, CENTS), + 'EUR': (('euro', 'euros'), CENTS), + 'GBP': (('libra', 'libras'), ('péni', 'pence')), + 'USD': (DOLLAR, CENTS), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "ilião" + + def setup(self): + super(Num2Word_PT, self).setup() + lows = ["quatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menos " + self.pointword = "vírgula" + self.exclude_title = ["e", "vírgula", "menos"] + + self.mid_numwords = [ + (1000, "mil"), (100, "cem"), (90, "noventa"), + (80, "oitenta"), (70, "setenta"), (60, "sessenta"), + (50, "cinquenta"), (40, "quarenta"), (30, "trinta") + ] + self.low_numwords = [ + "vinte", "dezanove", "dezoito", "dezassete", "dezasseis", + "quinze", "catorze", "treze", "doze", "onze", "dez", + "nove", "oito", "sete", "seis", "cinco", "quatro", "três", "dois", + "um", "zero" + ] + self.ords = [ + { + 0: "", + 1: "primeiro", + 2: "segundo", + 3: "terceiro", + 4: "quarto", + 5: "quinto", + 6: "sexto", + 7: "sétimo", + 8: "oitavo", + 9: "nono", + }, + { + 0: "", + 1: "décimo", + 2: "vigésimo", + 3: "trigésimo", + 4: "quadragésimo", + 5: "quinquagésimo", + 6: "sexagésimo", + 7: "septuagésimo", + 8: "octogésimo", + 9: "nonagésimo", + }, + { + 0: "", + 1: "centésimo", + 2: "ducentésimo", + 3: "tricentésimo", + 4: "quadrigentésimo", + 5: "quingentésimo", + 6: "seiscentésimo", + 7: "septigentésimo", + 8: "octigentésimo", + 9: "nongentésimo", + }, + ] + self.thousand_separators = { + 3: "milésimo", + 6: "milionésimo", + 9: "milésimo milionésimo", + 12: "bilionésimo", + 15: "milésimo bilionésimo" + } + self.hundreds = { + 1: "cento", + 2: "duzentos", + 3: "trezentos", + 4: "quatrocentos", + 5: "quinhentos", + 6: "seiscentos", + 7: "setecentos", + 8: "oitocentos", + 9: "novecentos", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "um" + elif cnum == 100 and not nnum % 1000 == 0: + ctext = "cento" + + if nnum < cnum: + if cnum < 100: + return ("%s e %s" % (ctext, ntext), cnum + nnum) + return ("%s e %s" % (ctext, ntext), cnum + nnum) + + elif (not nnum % 1000000000) and cnum > 1: + ntext = ntext[:-4] + "liões" + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-4] + "lhões" + # correct "milião" to "milhão" + if ntext == 'milião': + ntext = 'milhão' + if nnum == 100: + ctext = self.hundreds[cnum] + ntext = "" + + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_cardinal(self, value): + result = super(Num2Word_PT, self).to_cardinal(value) + + # Transforms "mil e cento e catorze" into "mil cento e catorze" + # Transforms "cem milhões e duzentos mil e duzentos e dez" em "cem + # milhões duzentos mil duzentos e dez" but "cem milhões e duzentos + # mil e duzentos" in "cem milhões duzentos mil e duzentos" and not in + # "cem milhões duzentos mil duzentos" + for ext in ( + 'mil', 'milhão', 'milhões', 'mil milhões', + 'bilião', 'biliões', 'mil biliões'): + if re.match('.*{} e \\w*entos? (?=.*e)'.format(ext), result): + result = result.replace( + '{} e'.format(ext), '{}'.format(ext) + ) + + return result + + # for the ordinal conversion the code is similar to pt_BR code, + # although there are other rules that are probably more correct in + # Portugal. Concerning numbers from 2000th on, saying "dois + # milésimos" instead of "segundo milésimo" (the first number + # would be used in the cardinal form instead of the ordinal) is better. + # This was not implemented. + # source: + # https://ciberduvidas.iscte-iul.pt/consultorio/perguntas/a-forma-por-extenso-de-2000-e-de-outros-ordinais/16428 + def to_ordinal(self, value): + # Before changing this function remember this is used by pt-BR + # so act accordingly + self.verify_ordinal(value) + + result = [] + value = str(value) + thousand_separator = '' + + for idx, char in enumerate(value[::-1]): + if idx and idx % 3 == 0: + thousand_separator = self.thousand_separators[idx] + + if char != '0' and thousand_separator: + # avoiding "segundo milionésimo milésimo" for 6000000, + # for instance + result.append(thousand_separator) + thousand_separator = '' + + result.append(self.ords[idx % 3][int(char)]) + + result = ' '.join(result[::-1]) + result = result.strip() + result = re.sub('\\s+', ' ', result) + + if result.startswith('primeiro') and value != '1': + # avoiding "primeiro milésimo", "primeiro milionésimo" and so on + result = result[9:] + + return result + + def to_ordinal_num(self, value): + # Before changing this function remember this is used by pt-BR + # so act accordingly + self.verify_ordinal(value) + return "%sº" % (value) + + def to_year(self, val, longval=True): + # Before changing this function remember this is used by pt-BR + # so act accordingly + if val < 0: + return self.to_cardinal(abs(val)) + ' antes de Cristo' + return self.to_cardinal(val) + + def to_currency(self, val, currency='EUR', cents=True, separator=' e', + adjective=False): + # change negword because base.to_currency() does not need space after + backup_negword = self.negword + self.negword = self.negword[:-1] + result = super(Num2Word_PT, self).to_currency( + val, currency=currency, cents=cents, separator=separator, + adjective=adjective) + # undo the change on negword + self.negword = backup_negword + + # transforms "milhões euros" em "milhões de euros" + cr1, _ = self.CURRENCY_FORMS[currency] + + for ext in ( + 'milhão', 'milhões', 'bilião', + 'biliões', 'trilião', 'triliões'): + if re.match('.*{} (?={})'.format(ext, cr1[1]), result): + result = result.replace( + '{}'.format(ext), '{} de'.format(ext), 1 + ) + # do not print "e zero cêntimos" + result = result.replace(' e zero cêntimos', '') + return result diff --git a/ext/py/num2words/num2words/lang_PT_BR.py b/ext/py/num2words/num2words/lang_PT_BR.py new file mode 100644 index 0000000..2aea06c --- /dev/null +++ b/ext/py/num2words/num2words/lang_PT_BR.py @@ -0,0 +1,115 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA +from __future__ import division, unicode_literals + +import re + +from . import lang_PT + + +class Num2Word_PT_BR(lang_PT.Num2Word_PT): + def set_high_numwords(self, high): + max = 3 + 3*len(high) + for word, n in zip(high, range(max, 3, -3)): + self.cards[10**n] = word + "ilhão" + + def setup(self): + super(Num2Word_PT_BR, self).setup() + + self.low_numwords[1] = 'dezenove' + self.low_numwords[3] = 'dezessete' + self.low_numwords[4] = 'dezesseis' + + self.thousand_separators = { + 3: "milésimo", + 6: "milionésimo", + 9: "bilionésimo", + 12: "trilionésimo", + 15: "quadrilionésimo" + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1: + if nnum < 1000000: + return next + ctext = "um" + elif cnum == 100 and nnum % 1000 != 0: + ctext = "cento" + + if nnum < cnum: + if cnum < 100: + return ("%s e %s" % (ctext, ntext), cnum + nnum) + return ("%s e %s" % (ctext, ntext), cnum + nnum) + + elif (not nnum % 1000000) and cnum > 1: + ntext = ntext[:-4] + "lhões" + + if nnum == 100: + ctext = self.hundreds[cnum] + ntext = "" + + else: + ntext = " " + ntext + + return (ctext + ntext, cnum * nnum) + + def to_cardinal(self, value): + result = lang_PT.Num2Word_EU.to_cardinal(self, value) + + # Transforms "mil E cento e catorze reais" into "mil, cento e catorze + # reais" + for ext in ( + 'mil', 'milhão', 'milhões', 'bilhão', 'bilhões', + 'trilhão', 'trilhões', 'quatrilhão', 'quatrilhões'): + if re.match('.*{} e \\w*entos? (?=.*e)'.format(ext), result): + result = result.replace( + '{} e'.format(ext), '{},'.format(ext), 1 + ) + + return result + + def to_currency(self, val, longval=True): + integer_part, decimal_part = ('%.2f' % val).split('.') + + result = self.to_cardinal(int(integer_part)) + + appended_currency = False + for ext in ( + 'milhão', 'milhões', 'bilhão', 'bilhões', + 'trilhão', 'trilhões', 'quatrilhão', 'quatrilhões'): + if result.endswith(ext): + result += ' de reais' + appended_currency = True + + if result in ['um', 'menos um']: + result += ' real' + appended_currency = True + if not appended_currency: + result += ' reais' + + if int(decimal_part): + cents = self.to_cardinal(int(decimal_part)) + result += ' e ' + cents + + if cents == 'um': + result += ' centavo' + else: + result += ' centavos' + + return result diff --git a/ext/py/num2words/num2words/lang_RO.py b/ext/py/num2words/num2words/lang_RO.py new file mode 100644 index 0000000..feb9610 --- /dev/null +++ b/ext/py/num2words/num2words/lang_RO.py @@ -0,0 +1,174 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_RO(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "iliard/e" + MEGA_SUFFIX = "ilion" + # inflection for mi/billion follows different rule + MEGA_SUFFIX_I = "ilioane" + GIGA_SUFFIX_I = "iliarde" + + def setup(self): + super(Num2Word_RO, self).setup() + + self.negword = "minus " + self.pointword = "virgulă" + self.exclude_title = ["și", "virgulă", "minus"] + self.errmsg_toobig = ( + "Numărul e prea mare pentru a \ +fi convertit în cuvinte (abs(%s) > %s)." + ) + self.mid_numwords = [(1000, "mie/i"), (100, "sută/e"), + (90, "nouăzeci"), (80, "optzeci"), + (70, "șaptezeci"), (60, "șaizeci"), + (50, "cincizeci"), (40, "patruzeci"), + (30, "treizeci")] + self.low_numwords = ["douăzeci", "nouăsprezece", "optsprezece", + "șaptesprezece", "șaisprezece", "cincisprezece", + "paisprezece", "treisprezece", "doisprezece", + "unsprezece", "zece", "nouă", "opt", "șapte", + "șase", "cinci", "patru", "trei", "doi", + "unu", "zero"] + self.gen_numwords = ["", "o", "două", "trei", "patru", "cinci", + "șase", "șapte", "opt", "nouă"] + self.gen_numwords_n = ["", "un", "două", "trei", "patru", "cinci", + "șase", "șapte", "opt", "nouă"] + self.numwords_inflections = { + 100: self.gen_numwords, + 1000: self.gen_numwords, + 1000000: self.gen_numwords_n, + 1000000000: self.gen_numwords_n + } + self.ords = {"unu": "primul", + "doi": "al doilea", + "three": "al treilea", + "cinci": "al cincilea", + "opt": "al optulea", + "nouă": "al nouălea", + "doisprezece": "al doisprezecelea"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + rtext_i = self.inflect(rnum, rtext, lnum) + if 1 <= lnum < 10: + if rnum not in self.numwords_inflections: + return (rtext, rnum) + else: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + lresult = (self.numwords_inflections[rnum][lnum], rtext_i) + return ("%s %s" % lresult, rnum) + elif 10 < lnum < 100: + if lnum % 10 == 0: + if rnum in self.numwords_inflections: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + return ("%s %s" % (ltext, rtext_i), lnum * rnum) + else: + return ("%s și %s" % (ltext, rtext), lnum + rnum) + else: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + ltext_i = ltext if lnum % 10 != 2 \ + else ltext.replace("doi", "două") + return ("%s %s" % (ltext_i, rtext_i), lnum * rnum) + else: + if rnum in self.numwords_inflections: + rtext_i = self.inflect(lnum * rnum, rtext, lnum) + return ("%s %s" % (ltext, rtext_i), lnum * rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + if value == 1: + return "primul" + else: + value = self.to_cardinal(value) + return "al %slea" % (value) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + if value == 1: + return "1-ul" + return "al %s-lea" % (value) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif n == 0 or (n % 100 > 0 and n % 100 < 20): + form = 1 + else: + form = 2 + return forms[form] + + def inflect(self, value, text, side_effect=-1): + text = text.split("/") + result = text[0] + if len(text) > 1: + forms = [ + text[0], + text[0][:-1] + text[1], + "de " + text[0][:-1] + text[1] + ] + result = self.pluralize(side_effect, forms) + # mega inflections are different + if side_effect > 1 and result.endswith(self.MEGA_SUFFIX): + result = result.replace(self.MEGA_SUFFIX, self.MEGA_SUFFIX_I) + elif side_effect > 1 and result.endswith("iliare"): + result = result.replace("iliare", self.GIGA_SUFFIX_I) + return result + + def to_currency(self, val, currency="RON", cents=False, separator=" și", + adjective=False): + # romanian currency has a particularity for numeral: one + self.gen_numwords[1] = "una" + result = super(Num2Word_RO, self).to_currency( + int(round(val*100)), + currency, + True, + separator, + adjective + ) + self.gen_numwords[1] = "o" # revert numeral + return result.replace( + "unu leu", "un leu" + ).replace( + "unu ban", "un ban" + ).replace( + # if the romanian low text is 0, it is not usually printed + separator + " zero bani", "" + ) + + def to_year(self, val, suffix=None, longval=True): + result = super(Num2Word_RO, self).to_year( + val, + longval=longval + ) + # for years we want the era negation e.g. B.C., in our case + # it's î.Hr. or î.e.n + if result.startswith(self.negword): + result = result.replace(self.negword, "") + suffix = "î.Hr." if not suffix else suffix + if suffix: + result = "".join([ + result, + " ", + suffix + ]) + return result diff --git a/ext/py/num2words/num2words/lang_RU.py b/ext/py/num2words/num2words/lang_RU.py new file mode 100644 index 0000000..2ff1c0a --- /dev/null +++ b/ext/py/num2words/num2words/lang_RU.py @@ -0,0 +1,501 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +GENDER_PLURAL_INDEXES = { + 'm': 0, 'masculine': 0, 'м': 0, 'мужской': 0, + 'f': 1, 'feminine': 1, 'ж': 0, 'женский': 0, + 'n': 2, 'neuter': 2, 'с': 0, 'средний': 0, + 'p': 3, 'plural': 3 +} +CASE_INDEXES = { + 'n': 0, 'nominative': 0, 'и': 0, 'именительный': 0, + 'g': 1, 'genitive': 1, 'р': 1, 'родительный': 1, + 'd': 2, 'dative': 2, 'д': 2, 'дательный': 2, + 'a': 3, 'accusative': 3, 'в': 3, 'винительный': 3, + 'i': 4, 'instrumental': 4, 'т': 4, 'творительный': 4, + 'p': 5, 'prepositional': 5, 'п': 5, 'предложный': 5 +} +# Default values +D_CASE = 'n' +D_PLURAL = False +D_GENDER = 'm' +D_ANIMATE = True + + +def get_num_element(cases_dict, num, **kwargs): + return case_classifier_element(cases_dict[num], **kwargs) + + +def case_classifier_element(classifier, case=D_CASE, plural=D_PLURAL, + gender=D_GENDER, animate=D_ANIMATE): + case = classifier[CASE_INDEXES[case]] + if isinstance(case, str): + return case + + if plural: + gender = case[GENDER_PLURAL_INDEXES['plural']] + else: + gender = case[GENDER_PLURAL_INDEXES[gender]] + if isinstance(gender, str): + return gender + + if animate: + return gender[0] + return gender[1] + + +# format: +# {n : [case_1 .. case_5]} +# case: text or [gender_1 .. gender_3 plural_4] +# gender: text or [animate, inanimate] +ONES = { + 0: ['ноль', 'ноля', 'нолю', 'ноль', 'нолём', 'ноле'], + 1: [['один', 'одна', 'одно', 'одни'], + ['одного', 'одной', 'одного', 'одних'], + ['одному', 'одной', 'одному', 'одним'], + [['одного', 'один'], 'одну', 'одно', ['одних', 'одни']], + ['одним', 'одной', 'одним', 'одними'], + ['одном', 'одной', 'одном', 'одних']], + 2: [['два', 'две', 'два', 'двое'], + ['двух'] * 3 + ['двоих'], + ['двум'] * 3 + ['двоим'], + [['двух', 'два'], ['двух', 'две'], 'два', 'двоих'], + ['двумя'] * 3 + ['двоими'], + ['двух'] * 3 + ['двоих']], + 3: [['три'] * 3 + ['трое'], + ['трёх'] * 3 + ['троих'], + ['трём'] * 3 + ['троим'], + [['трёх', 'три'], ['трёх', 'три'], 'три', 'троих'], + ['тремя'] * 3 + ['троими'], + ['трёх'] * 3 + ['троих']], + 4: [['четыре'] * 3 + ['четверо'], + ['четырёх'] * 3 + ['четверых'], + ['четырём'] * 3 + ['четверым'], + [['четырёх', 'четыре'], ['четырёх', 'четыре'], 'четыре', 'четверых'], + ['четырьмя'] * 3 + ['четверыми'], + ['четырёх'] * 3 + ['четверых']], + 5: ['пять', 'пяти', 'пяти', 'пять', 'пятью', 'пяти'], + 6: ['шесть', 'шести', 'шести', 'шесть', 'шестью', 'шести'], + 7: ['семь', 'семи', 'семи', 'семь', 'семью', 'семи'], + 8: ['восемь', 'восьми', 'восьми', 'восемь', 'восемью', 'восьми'], + 9: ['девять', 'девяти', 'девяти', 'девять', 'девятью', 'девяти'] +} + +ONES_ORD_PREFIXES = {0: 'нулев', 1: 'перв', 2: 'втор', 4: 'четвёрт', 5: 'пят', + 6: 'шест', 7: 'седьм', 8: 'восьм', 9: 'девят'} +ONES_ORD_POSTFIXES_GROUPS = {0: 0, 1: 1, 2: 0, 4: 1, 5: 1, 6: 0, 7: 0, 8: 0, + 9: 1} +CASE_POSTFIXES = [[{0: 'ой', 1: 'ый'}, 'ая', 'ое', 'ые'], + ['ого', 'ой', 'ого', 'ых'], + ['ому', 'ой', 'ому', 'ым'], + [['ого', {0: 'ой', 1: 'ый'}], 'ую', 'ое', ['ых', 'ые']], + ['ым', 'ой', 'ым', 'ыми'], + ['ом', 'ой', 'ом', 'ых']] + + +def get_cases(prefix, post_group): + return [[ + prefix + postfix if isinstance(postfix, str) else + [prefix + animate if isinstance(animate, str) else + prefix + animate[post_group] + for animate in postfix] if isinstance(postfix, list) else + prefix + postfix[post_group] + for postfix in case] + for case in CASE_POSTFIXES] + + +def get_ord_classifier(prefixes, post_groups): + if isinstance(post_groups, int): + post_groups = {n: post_groups for n, i in prefixes.items()} + return { + num: get_cases(prefix, post_groups[num]) + for num, prefix in prefixes.items() + } + + +ONES_ORD = { + 3: [['третий', 'третья', 'третье', 'третьи'], + ['третьего', 'третьей', 'третьего', 'третьих'], + ['третьему', 'третьей', 'третьему', 'третьим'], + [['третьего', 'третий'], 'третью', 'третье', ['третьих', 'третьи']], + ['третьим', 'третьей', 'третьим', 'третьими'], + ['третьем', 'третьей', 'третьем', 'третьих']], +} +ONES_ORD.update( + get_ord_classifier(ONES_ORD_PREFIXES, ONES_ORD_POSTFIXES_GROUPS) +) + +TENS_PREFIXES = {1: 'один', 2: 'две', 3: 'три', 4: 'четыр', 5: 'пят', + 6: 'шест', 7: 'сем', 8: 'восем', 9: 'девят'} +TENS_POSTFIXES = ['надцать', 'надцати', 'надцати', 'надцать', 'надцатью', + 'надцати'] +TENS = {0: ['десять', 'десяти', 'десяти', 'десять', 'десятью', 'десяти']} +TENS.update({ + num: [prefix + postfix for postfix in TENS_POSTFIXES] + for num, prefix in TENS_PREFIXES.items() +}) + +TENS_ORD_PREFIXES = {0: "десят"} +TENS_ORD_PREFIXES.update({ + num: prefix + 'надцат' for num, prefix in TENS_PREFIXES.items() +}) +TENS_ORD = get_ord_classifier(TENS_ORD_PREFIXES, 1) + +TWENTIES = { + 2: ['двадцать', 'двадцати', 'двадцати', 'двадцать', 'двадцатью', + 'двадцати'], + 3: ['тридцать', 'тридцати', 'тридцати', 'тридцать', 'тридцатью', + 'тридцати'], + 4: ['сорок', 'сорока', 'сорока', 'сорок', 'сорока', 'сорока'], + 5: ['пятьдесят', 'пятидесяти', 'пятидесяти', 'пятьдесят', 'пятьюдесятью', + 'пятидесяти'], + 6: ['шестьдесят', 'шестидесяти', 'шестидесяти', 'шестьдесят', + 'шестьюдесятью', 'шестидесяти'], + 7: ['семьдесят', 'семидесяти', 'семидесяти', 'семьдесят', 'семьюдесятью', + 'семидесяти'], + 8: ['восемьдесят', 'восьмидесяти', 'восьмидесяти', 'восемьдесят', + 'восемьюдесятью', 'восьмидесяти'], + 9: ['девяносто', 'девяноста', 'девяноста', 'девяносто', 'девяноста', + 'девяноста'], +} + +TWENTIES_ORD_PREFIXES = {2: 'двадцат', 3: 'тридцат', 4: 'сороков', + 5: 'пятидесят', 6: 'шестидесят', 7: 'семидесят', + 8: 'восьмидесят', 9: 'девяност'} +TWENTIES_ORD_POSTFIXES_GROUPS = {2: 1, 3: 1, 4: 0, 5: 1, 6: 1, 7: 1, 8: 1, + 9: 1} +TWENTIES_ORD = get_ord_classifier(TWENTIES_ORD_PREFIXES, + TWENTIES_ORD_POSTFIXES_GROUPS) + +HUNDREDS = { + 1: ['сто', 'ста', 'ста', 'сто', 'ста', 'ста'], + 2: ['двести', 'двухсот', 'двумстам', 'двести', 'двумястами', 'двухстах'], + 3: ['триста', 'трёхсот', 'трёмстам', 'триста', 'тремястами', 'трёхстах'], + 4: ['четыреста', 'четырёхсот', 'четырёмстам', 'четыреста', 'четырьмястами', + 'четырёхстах'], + 5: ['пятьсот', 'пятисот', 'пятистам', 'пятьсот', 'пятьюстами', 'пятистах'], + 6: ['шестьсот', 'шестисот', 'шестистам', 'шестьсот', 'шестьюстами', + 'шестистах'], + 7: ['семьсот', 'семисот', 'семистам', 'семьсот', 'семьюстами', 'семистах'], + 8: ['восемьсот', 'восьмисот', 'восьмистам', 'восемьсот', 'восемьюстами', + 'восьмистах'], + 9: ['девятьсот', 'девятисот', 'девятистам', 'девятьсот', 'девятьюстами', + 'девятистах'], +} + +HUNDREDS_ORD_PREFIXES = { + num: case[1] if num != 1 else 'сот' for num, case in HUNDREDS.items() +} +HUNDREDS_ORD = get_ord_classifier(HUNDREDS_ORD_PREFIXES, 1) + + +THOUSANDS_PREFIXES = {2: 'миллион', 3: 'миллиард', 4: 'триллион', + 5: 'квадриллион', 6: 'квинтиллион', 7: 'секстиллион', + 8: 'септиллион', 9: 'октиллион', 10: 'нониллион'} +THOUSANDS_POSTFIXES = [('', 'а', 'ов'), + ('а', 'ов', 'ов'), + ('у', 'ам', 'ам'), + ('', 'а', 'ов'), + ('ом', 'ами', 'ами'), + ('е', 'ах', 'ах')] +THOUSANDS = { + 1: [['тысяча', 'тысячи', 'тысяч'], + ['тысячи', 'тысяч', 'тысяч'], + ['тысяче', 'тысячам', 'тысячам'], + ['тысячу', 'тысячи', 'тысяч'], + ['тысячей', 'тысячами', 'тысячами'], + ['тысяче', 'тысячах', 'тысячах']] +} +THOUSANDS.update({ + num: [ + [prefix + postfix for postfix in case] for case in THOUSANDS_POSTFIXES + ] for num, prefix in THOUSANDS_PREFIXES.items() +}) + + +def get_thousands_elements(num, case): + return THOUSANDS[num][CASE_INDEXES[case]] + + +THOUSANDS_ORD_PREFIXES = {1: 'тысячн'} +THOUSANDS_ORD_PREFIXES.update({ + num: prefix + 'н' for num, prefix in THOUSANDS_PREFIXES.items() +}) +THOUSANDS_ORD = get_ord_classifier(THOUSANDS_ORD_PREFIXES, 1) + + +class Num2Word_RU(Num2Word_Base): + CURRENCY_FORMS = { + 'RUB': ( + ('рубль', 'рубля', 'рублей'), ('копейка', 'копейки', 'копеек') + ), + 'EUR': ( + ('евро', 'евро', 'евро'), ('цент', 'цента', 'центов') + ), + 'USD': ( + ('доллар', 'доллара', 'долларов'), ('цент', 'цента', 'центов') + ), + 'UAH': ( + ('гривна', 'гривны', 'гривен'), ('копейка', 'копейки', 'копеек') + ), + 'KZT': ( + ('тенге', 'тенге', 'тенге'), ('тиын', 'тиына', 'тиынов') + ), + 'BYN': ( + ('белорусский рубль', 'белорусских рубля', 'белорусских рублей'), + ('копейка', 'копейки', 'копеек') + ), + 'UZS': ( + ('сум', 'сума', 'сумов'), ('тийин', 'тийина', 'тийинов') + ), + 'PLN': ( + ('польский злотый', 'польских слотых', 'польских злотых'), + ('грош', 'гроша', 'грошей') + ), + } + + def setup(self): + self.negword = "минус" + self.pointword = ('целая', 'целых', 'целых') + self.pointword_ord = get_cases("цел", 1) + + def to_cardinal(self, number, case=D_CASE, plural=D_PLURAL, + gender=D_GENDER, animate=D_ANIMATE): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + decimal_part = self._int2word(int(right), cardinal=True, + gender='f') + return u'%s %s %s %s' % ( + self._int2word(int(left), cardinal=True, gender='f'), + self.pluralize(int(left), self.pointword), + decimal_part, + self.__decimal_bitness(right) + ) + else: + return self._int2word(int(n), cardinal=True, case=case, + plural=plural, gender=gender, + animate=animate) + + def __decimal_bitness(self, n): + if n[-1] == "1" and n[-2:] != "11": + return self._int2word(10 ** len(n), cardinal=False, gender='f') + return self._int2word(10 ** len(n), cardinal=False, case='g', + plural=True) + + def pluralize(self, n, forms): + if n % 100 in (11, 12, 13, 14): + return forms[2] + if n % 10 == 1: + return forms[0] + if n % 10 in (2, 3, 4): + return forms[1] + return forms[2] + + def to_ordinal(self, number, case=D_CASE, plural=D_PLURAL, gender=D_GENDER, + animate=D_ANIMATE): + self.verify_ordinal(number) + n = str(number).replace(',', '.') + return self._int2word(int(n), cardinal=False, case=case, plural=plural, + gender=gender, animate=animate) + + def _money_verbose(self, number, currency): + if currency == 'UAH': + return self._int2word(number, gender='f') + return self._int2word(number, gender='m') + + def _cents_verbose(self, number, currency): + if currency in ('UAH', 'RUB', 'BYN'): + return self._int2word(number, gender='f') + return self._int2word(number, gender='m') + + def _int2word(self, n, feminine=False, cardinal=True, case=D_CASE, + plural=D_PLURAL, gender=D_GENDER, animate=D_ANIMATE): + """ + n: number + feminine: not used - for backward compatibility + cardinal:True - cardinal + False - ordinal + case: 'n' - nominative + 'g' - genitive + 'd' - dative + 'a' - accusative + 'i' - instrumental + 'p' - prepositional + plural: True - plural + False - singular + gender: 'f' - masculine + 'm' - feminine + 'n' - neuter + animate: True - animate + False - inanimate + """ + # For backward compatibility + if feminine: + gender = 'f' + + kwargs = {'case': case, 'plural': plural, 'gender': gender, + 'animate': animate} + + if n < 0: + return ' '.join([self.negword, self._int2word(abs(n), + cardinal=cardinal, + **kwargs)]) + + if n == 0: + return get_num_element(ONES, 0, **kwargs) if cardinal else \ + get_num_element(ONES_ORD, 0, **kwargs) + + words = [] + chunks = list(splitbyx(str(n), 3)) + ord_join = chunks[-1] == 0 # join in one word if ending on 'тысячный' + i = len(chunks) + rightest_nonzero_chunk_i = i - 1 - max( + [i for i, e in enumerate(chunks) if e != 0]) + for x in chunks: + chunk_words = [] + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if cardinal: + chunk_words.extend( + self.__chunk_cardianl(n3, n2, n1, i, **kwargs) + ) + if i > 0: + chunk_words.append( + self.pluralize(x, get_thousands_elements(i, case))) + # ordinal, not joined like 'двухтысячный' + elif not (ord_join and rightest_nonzero_chunk_i == i): + chunk_words.extend( + self.__chunk_ordinal(n3, n2, n1, i, **kwargs) + ) + if i > 0: + t_case = case if rightest_nonzero_chunk_i == i else 'n' + chunk_words.append( + self.pluralize(x, get_thousands_elements(i, t_case))) + # ordinal, joined + else: + chunk_words.extend( + self.__chunk_ordinal_join(n3, n2, n1, i, **kwargs) + ) + if i > 0: + chunk_words.append( + get_num_element(THOUSANDS_ORD, i, **kwargs)) + + chunk_words = [''.join(chunk_words)] + + words.extend(chunk_words) + + return ' '.join(words) + + def __chunk_cardianl(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + if hundreds > 0: + words.append(get_num_element(HUNDREDS, hundreds, **kwargs)) + + if tens > 1: + words.append(get_num_element(TWENTIES, tens, **kwargs)) + + if tens == 1: + words.append(get_num_element(TENS, ones, **kwargs)) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES, ones, **kwargs) + elif chunk_num == 1: + # Thousands are feminine + f_kwargs = kwargs.copy() + f_kwargs['gender'] = 'f' + w_ones = get_num_element(ONES, ones, **f_kwargs) + else: + w_ones = get_num_element(ONES, ones, **kwargs) + + words.append(w_ones) + return words + + def __chunk_ordinal(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + if hundreds > 0: + if tens == 0 and ones == 0: + words.append(get_num_element(HUNDREDS_ORD, hundreds, **kwargs)) + else: + words.append(get_num_element(HUNDREDS, hundreds)) + + if tens > 1: + if ones == 0: + words.append(get_num_element(TWENTIES_ORD, tens, **kwargs)) + else: + words.append(get_num_element(TWENTIES, tens)) + + if tens == 1: + words.append(get_num_element(TENS_ORD, ones, **kwargs)) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES_ORD, ones, **kwargs) + # тысячный, миллионнный и т.д. + elif chunk_num > 0 and ones == 1 and hundreds == 0 and tens == 0: + w_ones = None + elif chunk_num == 1: + # Thousands are feminine + w_ones = get_num_element(ONES, ones, gender='f') + else: + w_ones = get_num_element(ONES, ones) + + if w_ones: + words.append(w_ones) + + return words + + def __chunk_ordinal_join(self, hundreds, tens, ones, chunk_num, **kwargs): + words = [] + + if hundreds > 1: + words.append(get_num_element(HUNDREDS, hundreds, case='g')) + elif hundreds == 1: + words.append(get_num_element(HUNDREDS, hundreds)) # стО, not стА + + if tens == 9: + words.append(get_num_element(TWENTIES, tens)) # девяностО, not А + elif tens > 1: + words.append(get_num_element(TWENTIES, tens, case='g')) + + if tens == 1: + words.append(get_num_element(TENS, ones, case='g')) + elif ones > 0: + if chunk_num == 0: + w_ones = get_num_element(ONES_ORD, ones, **kwargs) + # тысячный, миллионнный и т.д., двадцатиодномиллионный + elif chunk_num > 0 and ones == 1 and tens != 1: + if tens == 0 and hundreds == 0: + w_ones = None + else: + w_ones = get_num_element(ONES, 1, gender='n') + else: + w_ones = get_num_element(ONES, ones, case='g') + + if w_ones: + words.append(w_ones) + + return words diff --git a/ext/py/num2words/num2words/lang_SK.py b/ext/py/num2words/num2words/lang_SK.py new file mode 100644 index 0000000..35ece02 --- /dev/null +++ b/ext/py/num2words/num2words/lang_SK.py @@ -0,0 +1,160 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jeden', 'jeden', set()), + 2: ('dva', 'dve', {1, 3, 5, 7, 9}), + 3: ('tri', 'tri', set()), + 4: ('štyri', 'štyri', set()), + 5: ('päť', 'päť', set()), + 6: ('šesť', 'šesť', set()), + 7: ('sedem', 'sedem', set()), + 8: ('osem', 'osem', set()), + 9: ('deväť', 'deväť', set()), +} + +TENS = { + 0: ('desať',), + 1: ('jedenásť',), + 2: ('dvanásť',), + 3: ('trinásť',), + 4: ('štrnásť',), + 5: ('pätnásť',), + 6: ('šestnásť',), + 7: ('sedemnásť',), + 8: ('osemnásť',), + 9: ('devätnásť',), +} + +TWENTIES = { + 2: ('dvadsať',), + 3: ('tridsať',), + 4: ('štyridsať',), + 5: ('päťdesiat',), + 6: ('šesťdesiat',), + 7: ('sedemdesiat',), + 8: ('osemdesiat',), + 9: ('deväťdesiat',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvesto',), + 3: ('tristo',), + 4: ('štyristo',), + 5: ('päťsto',), + 6: ('šesťsto',), + 7: ('sedemsto',), + 8: ('osemsto',), + 9: ('deväťsto',), +} + +THOUSANDS = { + 1: ('tisíc', 'tisíc', 'tisíc'), # 10^3 + 2: ('milión', 'milióny', 'miliónov'), # 10^6 + 3: ('miliarda', 'miliardy', 'miliárd'), # 10^9 + 4: ('bilión', 'bilióny', 'biliónov'), # 10^12 + 5: ('biliarda', 'biliardy', 'biliárd'), # 10^15 + 6: ('trilión', 'trilióny', 'triliónov'), # 10^18 + 7: ('triliarda', 'triliardy', 'triliárd'), # 10^21 + 8: ('kvadrilión', 'kvadrilióny', 'kvadriliónov'), # 10^24 + 9: ('kvadriliarda', 'kvadriliardy', 'kvadriliárd'), # 10^27 + 10: ('kvintilión', 'kvintillióny', 'kvintiliónov'), # 10^30 +} + + +class Num2Word_SK(Num2Word_Base): + CURRENCY_FORMS = { + 'EUR': ( + ('euro', 'eurá', 'eur'), ('cent', 'centy', 'centov') + ), + } + + def setup(self): + self.negword = "mínus" + self.pointword = "celých" + + def to_cardinal(self, number): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right))) + return u'%s %s %s' % ( + self._int2word(int(left)), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n)) + + def pluralize(self, n, forms): + if n == 1: + form = 0 + elif 0 < n < 5: + form = 1 + else: + form = 2 + return forms[form] + + def to_ordinal(self, value): + raise NotImplementedError() + + def _int2word(self, n): + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + word_chunk = [] + + if n3 > 0: + word_chunk.append(HUNDREDS[n3][0]) + + if n2 > 1: + word_chunk.append(TWENTIES[n2][0]) + + if n2 == 1: + word_chunk.append(TENS[n1][0]) + elif n1 > 0 and not (i > 0 and x == 1): + if n2 == 0 and n3 == 0 and i in ONES[n1][2]: + word_chunk.append(ONES[n1][1]) + else: + word_chunk.append(ONES[n1][0]) + if i > 1 and word_chunk: + word_chunk.append(' ') + if i > 0: + word_chunk.append(self.pluralize(x, THOUSANDS[i])) + words.append(''.join(word_chunk)) + + return ' '.join(words[:-1]) + ''.join(words[-1:]) diff --git a/ext/py/num2words/num2words/lang_SL.py b/ext/py/num2words/num2words/lang_SL.py new file mode 100644 index 0000000..617b033 --- /dev/null +++ b/ext/py/num2words/num2words/lang_SL.py @@ -0,0 +1,171 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2015, Blaz Bregar. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_SL(Num2Word_EU): + GIGA_SUFFIX = "ilijard" + MEGA_SUFFIX = "ilijon" + + def setup(self): + super(Num2Word_SL, self).setup() + + self.negword = "minus " + self.pointword = "celih" + self.errmsg_nonnum = "Only numbers may be converted to words." + self.errmsg_toobig = ( + "Number is too large to convert to words (abs(%s) > %s)." + ) + self.exclude_title = [] + + self.mid_numwords = [(1000, "tisoč"), (900, "devetsto"), + (800, "osemsto"), (700, "sedemsto"), + (600, "šeststo"), (500, "petsto"), + (400, "štiristo"), (300, "tristo"), + (200, "dvesto"), (100, "sto"), + (90, "devetdeset"), (80, "osemdeset"), + (70, "sedemdeset"), (60, "šestdeset"), + (50, "petdeset"), (40, "štirideset"), + (30, "trideset")] + self.low_numwords = ["dvajset", "devetnajst", "osemnajst", + "sedemnajst", "šestnajst", "petnajst", + "štirinajst", "trinajst", "dvanajst", + "enajst", "deset", "devet", "osem", "sedem", + "šest", "pet", "štiri", "tri", "dve", "ena", + "nič"] + self.ords = {"ena": "prv", + "dve": "drug", + "tri": "tretj", + "štiri": "četrt", + "sedem": "sedm", + "osem": "osm", + "sto": "stot", + "tisoč": "tisoč", + "milijon": "milijont" + } + self.ordflag = False + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if ctext.endswith("dve") and self.ordflag and nnum <= 1000000: + ctext = ctext[:len(ctext)-1] + "a" + + if ctext == "dve" and not self.ordflag and nnum < 1000000000: + ctext = "dva" + + if (ctext.endswith("tri") or ctext.endswith("štiri")) and\ + nnum == 1000000 and not self.ordflag: + if ctext.endswith("štiri"): + ctext = ctext[:-1] + ctext = ctext + "je" + + if cnum >= 20 and cnum < 100 and nnum == 2: + ntext = "dva" + + if ctext.endswith("ena") and nnum >= 1000: + ctext = ctext[0:-1] + + if cnum == 1: + if nnum < 10**6 or self.ordflag: + return next + ctext = "" + + if nnum > cnum: + if nnum >= 10**6: + if self.ordflag: + ntext += "t" + + elif cnum == 2: + if ntext.endswith("d"): + ntext += "i" + else: + ntext += "a" + + elif 2 < cnum < 5: + if ntext.endswith("d"): + ntext += "e" + elif not ntext.endswith("d"): + ntext += "i" + + elif ctext.endswith("en"): + if ntext.endswith("d") or ntext.endswith("n"): + ntext += "" + + elif ctext.endswith("dve") and ntext.endswith("n"): + ctext = ctext[:-1] + "a" + ntext += "a" + + elif ctext.endswith("je") and ntext.endswith("n"): + ntext += "i" + + else: + if ntext.endswith("d"): + ntext += "a" + elif ntext.endswith("n"): + ntext += "" + elif ntext.endswith("d"): + ntext += "e" + else: + ntext += "ov" + + if nnum >= 10**2 and self.ordflag is False and ctext: + ctext += " " + + val = cnum * nnum + else: + if nnum < 10 < cnum < 100: + ntext, ctext = ctext, ntext + "in" + elif cnum >= 10**2 and self.ordflag is False: + ctext += " " + val = cnum + nnum + + word = ctext + ntext + return (word, val) + + def to_ordinal(self, value): + self.verify_ordinal(value) + self.ordflag = True + outword = self.to_cardinal(value) + self.ordflag = False + for key in self.ords: + if outword.endswith(key): + outword = outword[:len(outword) - len(key)] + self.ords[key] + break + return outword + "i" + + # Is this correct?? + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return str(value) + "." + + def to_currency(self, val, longval=True, old=False): + if old: + return self.to_splitnum(val, hightxt="evro/a/v", + lowtxt="stotin/a/i/ov", + jointxt="in", longval=longval) + return super(Num2Word_SL, self).to_currency(val, jointxt="in", + longval=longval) + + def to_year(self, val, longval=True): + if not (val//100) % 10: + return self.to_cardinal(val) + return self.to_splitnum(val, hightxt="hundert", longval=longval) diff --git a/ext/py/num2words/num2words/lang_SR.py b/ext/py/num2words/num2words/lang_SR.py new file mode 100644 index 0000000..254209f --- /dev/null +++ b/ext/py/num2words/num2words/lang_SR.py @@ -0,0 +1,219 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .currency import parse_currency_parts, prefix_currency +from .utils import get_digits, splitbyx + +ZERO = ('nula',) + +ONES = { + 1: ('jedan', 'jedna'), + 2: ('dva', 'dve'), + 3: ('tri', 'tri'), + 4: ('četiri', 'četiri'), + 5: ('pet', 'pet'), + 6: ('šest', 'šest'), + 7: ('sedam', 'sedam'), + 8: ('osam', 'osam'), + 9: ('devet', 'devet'), +} + +TENS = { + 0: ('deset',), + 1: ('jedanaest',), + 2: ('dvanaest',), + 3: ('trinaest',), + 4: ('četrnaest',), + 5: ('petnaest',), + 6: ('šesnaest',), + 7: ('sedamnaest',), + 8: ('osamnaest',), + 9: ('devetnaest',), +} + +TWENTIES = { + 2: ('dvadeset',), + 3: ('trideset',), + 4: ('četrdeset',), + 5: ('pedeset',), + 6: ('šezdeset',), + 7: ('sedamdeset',), + 8: ('osamdeset',), + 9: ('devedeset',), +} + +HUNDREDS = { + 1: ('sto',), + 2: ('dvesta',), + 3: ('trista',), + 4: ('četristo',), + 5: ('petsto',), + 6: ('šesto',), + 7: ('sedamsto',), + 8: ('osamsto',), + 9: ('devetsto',), +} + +SCALE = { + 0: ('', '', '', False), + 1: ('hiljada', 'hiljade', 'hiljada', True), # 10^3 + 2: ('milion', 'miliona', 'miliona', False), # 10^6 + 3: ('bilion', 'biliona', 'biliona', False), # 10^9 + 4: ('trilion', 'triliona', 'triliona', False), # 10^12 + 5: ('kvadrilion', 'kvadriliona', 'kvadriliona', False), # 10^15 + 6: ('kvintilion', 'kvintiliona', 'kvintiliona', False), # 10^18 + 7: ('sekstilion', 'sekstiliona', 'sekstiliona', False), # 10^21 + 8: ('septilion', 'septiliona', 'septiliona', False), # 10^24 + 9: ('oktilion', 'oktiliona', 'oktiliona', False), # 10^27 + 10: ('nonilion', 'noniliona', 'noniliona', False), # 10^30 +} + + +class Num2Word_SR(Num2Word_Base): + CURRENCY_FORMS = { + 'RUB': ( + ('rublja', 'rublje', 'rublji', True), + ('kopejka', 'kopejke', 'kopejki', True) + ), + 'EUR': ( + ('evro', 'evra', 'evra', False), + ('cent', 'centa', 'centi', False) + ), + 'RSD': ( + ('dinar', 'dinara', 'dinara', False), + ('para', 'pare', 'para', True) + ), + } + + def setup(self): + self.negword = "minus" + self.pointword = "zapeta" + + def to_cardinal(self, number, feminine=False): + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + self._int2word(int(right), feminine)) + return u'%s %s %s' % ( + self._int2word(int(left), feminine), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n), feminine) + + def pluralize(self, number, forms): + if number % 100 < 10 or number % 100 > 20: + if number % 10 == 1: + form = 0 + elif 1 < number % 10 < 5: + form = 1 + else: + form = 2 + else: + form = 2 + return forms[form] + + def to_ordinal(self, number): + raise NotImplementedError() + + def _cents_verbose(self, number, currency): + return self._int2word( + number, + self.CURRENCY_FORMS[currency][1][-1] + ) + + def _int2word(self, number, feminine=False): + if number < 0: + return ' '.join([self.negword, self._int2word(abs(number))]) + + if number == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(number), 3)) + chunk_len = len(chunks) + for chunk in chunks: + chunk_len -= 1 + digit_right, digit_mid, digit_left = get_digits(chunk) + + if digit_left > 0: + words.append(HUNDREDS[digit_left][0]) + + if digit_mid > 1: + words.append(TWENTIES[digit_mid][0]) + + if digit_mid == 1: + words.append(TENS[digit_right][0]) + elif digit_right > 0: + is_feminine = feminine or SCALE[chunk_len][-1] + gender_idx = int(is_feminine) + words.append( + ONES[digit_right][gender_idx] + ) + + if chunk_len > 0 and chunk != 0: + words.append(self.pluralize(chunk, SCALE[chunk_len])) + + return ' '.join(words) + + def to_currency(self, val, currency='EUR', cents=True, separator=',', + adjective=False): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + separator (str): Cent separator + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if adjective and currency in self.CURRENCY_ADJECTIVES: + cr1 = prefix_currency( + self.CURRENCY_ADJECTIVES[currency], + cr1 + ) + + minus_str = "%s " % self.negword if is_negative else "" + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + return u'%s%s %s%s %s %s' % ( + minus_str, + self.to_cardinal(left, feminine=cr1[-1]), + self.pluralize(left, cr1), + separator, + cents_str, + self.pluralize(right, cr2) + ) diff --git a/ext/py/num2words/num2words/lang_SV.py b/ext/py/num2words/num2words/lang_SV.py new file mode 100644 index 0000000..4e32841 --- /dev/null +++ b/ext/py/num2words/num2words/lang_SV.py @@ -0,0 +1,117 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + + +class Num2Word_SV(lang_EU.Num2Word_EU): + GIGA_SUFFIX = "iljarder" + MEGA_SUFFIX = "iljoner" + + def set_high_numwords(self, high): + cap = 3 + 6 * len(high) + + for word, n in zip(high, range(cap, 3, -6)): + if self.GIGA_SUFFIX: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + if self.MEGA_SUFFIX: + self.cards[10 ** (n - 3)] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_SV, self).setup() + + self.negword = "minus " + self.pointword = "komma" + self.exclude_title = ["och", "komma", "minus"] + + self.mid_numwords = [(1000, "tusen"), (100, "hundra"), + (90, "nittio"), (80, "åttio"), (70, "sjuttio"), + (60, "sextio"), (50, "femtio"), (40, "förtio"), + (30, "trettio")] + self.low_numwords = ["tjugo", "nitton", "arton", "sjutton", + "sexton", "femton", "fjorton", "tretton", + "tolv", "elva", "tio", "nio", "åtta", + "sju", "sex", "fem", "fyra", "tre", "två", + "ett", "noll"] + self.ords = {"noll": "nollte", + "ett": "första", + "två": "andra", + "tre": "tredje", + "fyra": "fjärde", + "fem": "femte", + "sex": "sjätte", + "sju": "sjunde", + "åtta": "åttonde", + "nio": "nionde", + "tio": "tionde", + "elva": "elfte", + "tolv": "tolfte", + "tjugo": "tjugonde"} + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%s%s" % (ltext, rtext), lnum + rnum) + elif rnum >= 1000000 and lnum == 1: + return ("%s %s" % ('en', rtext[:-2]), lnum + rnum) + elif rnum >= 1000000 and lnum > 1: + return ("%s %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + return ("%s%s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value).split(" ") + lastword = outwords[-1] + ending_length = 0 + try: + lastword_ending = self.ords[lastword[-4:]] + ending_length = 4 + except KeyError: + try: + lastword_ending = self.ords[lastword[-3:]] + ending_length = 3 + except KeyError: + lastword_ending = "de" + if lastword_ending == 'de': + lastword_first_part = self.title(lastword)[:] + else: + lastword_first_part = self.title(lastword)[:-ending_length] + lastword_correct = lastword_first_part + lastword_ending + outwords[-1] = lastword_correct + return " ".join(outwords) + + def to_ordinal_num(self, value): + raise NotImplementedError( + "'ordinal_num' is not implemented for swedish language") + + def to_year(self, val, longval=True): + raise NotImplementedError( + "'year' is not implemented for swedish language") + + def to_currency(self, val, longval=True): + raise NotImplementedError( + "'currency' is not implemented for swedish language") diff --git a/ext/py/num2words/num2words/lang_TE.py b/ext/py/num2words/num2words/lang_TE.py new file mode 100644 index 0000000..274d312 --- /dev/null +++ b/ext/py/num2words/num2words/lang_TE.py @@ -0,0 +1,169 @@ +# -*- coding: utf-8 -*- + +from __future__ import unicode_literals + +from .lang_EU import Num2Word_EU + + +class Num2Word_TE(Num2Word_EU): + def set_high_numwords(self, high): + for n, word in self.high_numwords: + self.cards[10**n] = word + + def setup(self): + self.low_numwords = [ + "తొంభై తొమ్మిది", + "తొంభై ఎనిమిది", + "తొంభై ఏడు", + "తొంభై ఆరు", + "తొంభై అయిదు", + "తొంభై నాలుగు", + "తొంభై మూడు", + "తొంభై రెండు", + "తొంభై ఒకటి", + "తొంభై", + "ఎనభై తొమ్మిది", + "ఎనభై ఎనిమిది", + "ఎనభై ఏడు", + "ఎనభై ఆరు", + "ఎనభై అయిదు", + "ఎనభై నాలుగు", + "ఎనభై మూడు", + "ఎనభై రెండు", + "ఎనభై ఒకటి", + "ఎనభై", + "డెబ్బై తొమ్మిది", + "డెబ్బై ఎనిమిది", + "డెబ్బై ఏడు", + "డెబ్బై ఆరు", + "డెబ్బై అయిదు", + "డెబ్బై నాలుగు", + "డెబ్బై మూడు", + "డెబ్బై రెండు", + "డెబ్బై ఒకటి", + "డెబ్బై", + "అరవై తొమ్మిది", + "అరవై ఎనిమిది", + "అరవై ఏడు", + "అరవై ఆరు", + "అరవై అయిదు", + "అరవై నాలుగు", + "అరవై మూడు", + "అరవై రెండు", + "అరవై ఒకటి", + "అరవై", + "యాభై తొమ్మిది", + "యాభై ఎనిమిది", + "యాభై ఏడు", + "యాభై ఆరు", + "యాభై అయిదు", + "యాభై నాలుగు", + "యాభై మూడు", + "యాభై రెండు", + "యాభై ఒకటి", + "యాభై ", + "నలభై తొమ్మిది", + "నలభై ఎనిమిది", + "నలభై ఏడు", + "నలభై ఆరు", + "నలభై అయిదు", + "నలభై నాలుగు", + "నలభై మూడు", + "నలభై రెండు", + "నలభై ఒకటి", + "నలభై", + "ముప్పై తొమ్మిది", + "ముప్పై ఎనిమిది", + "ముప్పై ఏడు", + "ముప్పై ఆరు", + "ముప్పై ఐదు", + "ముప్పై నాలుగు", + "ముప్పై మూడు", + "ముప్పై రెండు", + "ముప్పై ఒకటి", + "ముప్పై", + "ఇరవై తొమ్మిది", + "ఇరవై ఎనిమిది", + "ఇరవై ఏడు", + "ఇరవై ఆరు", + "ఇరవై అయిదు", + "ఇరవై నాలుగు", + "ఇరవై మూడు", + "ఇరవై రెండు", + "ఇరవై ఒకటి", + "ఇరవై", + "పందొమ్మిది", + "పధ్ధెనిమిది", + "పదిహేడు", + "పదహారు", + "పదునయిదు", + "పధ్నాలుగు", + "పదమూడు", + "పన్నెండు", + "పదకొండు", + "పది", + "తొమ్మిది", + "ఎనిమిది", + "ఏడు", + "ఆరు", + "అయిదు", + "నాలుగు", + "మూడు", + "రెండు", + "ఒకటి", + "సున్న", + ] + + self.mid_numwords = [(100, "వంద")] + + self.high_numwords = [(7, "కోట్ల"), (5, "లక్ష"), (3, "వేయి")] + + self.pointword = "బిందువు " + + self.modifiers = [ + " ్ ", + "ా ", + " ి ", + " ీ ", + " ు ", + " ూ ", + " ృ ", + " ౄ ", + " ె ", + " ే ", + " ై ", + " ొ", + " ో ", + " ౌ ", + " ఁ ", + " ం ", + " ః ", + ] + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + return ("%s-%s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + if ltext[-1] in self.modifiers: + return ("%s %s" % (ltext[:-1], rtext), lnum + rnum) + else: + return ("%s %s" % (ltext+"ల", rtext), lnum + rnum) + elif rnum > lnum: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%s %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-1:]) + + def to_ordinal(self, value): + self.verify_ordinal(value) + outwords = self.to_cardinal(value) + if outwords[-1] in self.modifiers: + outwords = outwords[:-1] + ordinal_num = outwords + "వ" + return ordinal_num diff --git a/ext/py/num2words/num2words/lang_TET.py b/ext/py/num2words/num2words/lang_TET.py new file mode 100644 index 0000000..141a8c6 --- /dev/null +++ b/ext/py/num2words/num2words/lang_TET.py @@ -0,0 +1,251 @@ +# -*- coding: utf-8 -*-Num2Word_TET +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +from num2words.currency import parse_currency_parts + +from .lang_EU import Num2Word_EU + +DOLLAR = ('dolar', 'dolar') +CENTS = ('sentavu', 'sentavu') + + +class Num2Word_TET(Num2Word_EU): + + CURRENCY_FORMS = { + 'AUD': (DOLLAR, CENTS), + 'CAD': (DOLLAR, CENTS), + 'EUR': (('euro', 'euros'), CENTS), + 'GBP': (('pound sterling', 'pound sterling'), ('pence', 'pence')), + 'USD': (DOLLAR, CENTS), + } + + GIGA_SUFFIX = None + MEGA_SUFFIX = "iliaun" + + def setup(self): + super().setup() + lows = ["kuatr", "tr", "b", "m"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "menus " + self.pointword = "vírgula" + self.exclude_title = ["resin", "vírgula", "menus"] + self.count = 0 + + self.mid_numwords = [ + (1000, "rihun"), (100, "atus"), (90, "sianulu"), + (80, "ualunulu"), (70, "hitunulu"), (60, "neenulu"), + (50, "limanulu"), (40, "haatnulu"), (30, "tolunulu"), + (20, "ruanulu") + ] + self.low_numwords = [ + "sanulu", + "sia", "ualu", "hitu", "neen", "lima", "haat", "tolu", "rua", + "ida", "mamuk" + ] + self.hundreds = { + 1: "atus", + 2: "atus rua", + 3: "atus tolu", + 4: "atus haat", + 5: "atus lima", + 6: "atus neen", + 7: "atus hitu", + 8: "atus ualu", + 9: "atus sia", + } + + def merge(self, curr, next): + ctext, cnum, ntext, nnum = curr + next + + if cnum == 1 and nnum < 100: + return next + + if nnum < cnum: + if nnum < 10: + value_str = str(cnum + nnum) + if int(value_str) > 100: + zero_list = value_str[1:-1] + all_zero = all(element == '0' for element in zero_list) + if all_zero: + if self.count >= 1: + self.count += 0 + return ( + "ho %s %s" % (ctext, ntext), + cnum + nnum + ) + self.count += 1 + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return ("%s resin %s" % (ctext, ntext), cnum + nnum) + else: + return ("%s %s" % (ctext, ntext), cnum + nnum) + + return (ntext + " " + ctext, cnum * nnum) + + def ho_result(self, result, value): + index = result.find('ho') + count_ho = result.count('ho') + + if index != -1 and count_ho >= 1: + index_rihun = result.find('rihun') + value_str = len(str(value)) + if index_rihun != -1 and value_str > 7: + result = result.replace("rihun ho", "ho rihun") + lows = ["kuatr", "tr", "b", "m"] + MEGA_SUFFIX = "iliaun" + for low in lows: + result = result.replace( + low + MEGA_SUFFIX + " ho", "ho " + low + MEGA_SUFFIX) + remove_first_ho = result.startswith('ho') + if remove_first_ho: + result = result[3:] + return result + + def remove_ho(self, result, value): + value_str = str(value) + result = self.ho_result(result, value) + end_value = value_str[:-4] + end_true = end_value.endswith('0') + if end_true is False: + if value > 100: + if value_str[-1] != '0' and value_str[-2] == '0': + result = result.replace("ho", "") + result = result.replace(" ", " ") + + return result + + def to_cardinal(self, value): + result = super().to_cardinal(value) + + results = self.remove_ho(result, value) + return results + + def to_ordinal(self, value): + self.verify_ordinal(value) + out = "" + val = self.splitnum(value) + outs = val + while len(val) != 1: + outs = [] + left, right = val[:2] + if isinstance(left, tuple) and isinstance(right, tuple): + outs.append(self.merge(left, right)) + if val[2:]: + outs.append(val[2:]) + else: + for elem in val: + if isinstance(elem, list): + if len(elem) == 1: + outs.append(elem[0]) + else: + outs.append(self.clean(elem)) + else: + outs.append(elem) + val = outs + + words, num = outs[0] + + words = self.remove_ho(words, value) + + if num in [90, 80, 70, 60, 50, 40, 30, 20, 10, 9, 8, 7, 5, 3, 2]: + words = 'da'+words+'k' + if num in [6, 4]: + words = 'da'+words + if num == 1: + words = 'dahuluk' + if num in [900, 800, 700, 500, 300, 200, 100]: + words = 'dah'+words+'k' + if num in [600, 400]: + words = 'dah'+words + + words_split = words.split() + if len(words_split) >= 3 and num < 100: + first_word = 'da'+words_split[0] + second_word = " ".join(words_split[1:]) + if 'haat' in second_word or 'neen' in second_word: + words = first_word+" "+second_word + else: + words = first_word+" "+second_word+'k' + + word_first = 'dah'+words_split[0] + if word_first == 'dahatus' and len(words_split) >= 3: + word_second = " ".join(words_split[1:]) + if 'haat' in word_second or 'neen' in word_second: + words = word_first+" "+word_second + else: + words = word_first+" "+word_second+'k' + + if len(str(num)) > 3: + if 'haat' in words_split[-1:] or 'neen' in words_split[-1:]: + words = 'da'+words + else: + words = 'da'+words+'k' + + result = self.title(out + words) + + return result + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%sº" % (value) + + def to_year(self, val, longval=True): + if val < 0: + return self.to_cardinal(abs(val)) + ' antes Kristu' + return self.to_cardinal(val) + + def to_currency(self, val, currency='USD', cents=True): + """ + Args: + val: Numeric value + currency (str): Currency code + cents (bool): Verbose cents + adjective (bool): Prefix currency name with adjective + Returns: + str: Formatted string + + """ + left, right, is_negative = parse_currency_parts(val) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + minus_str = "%s " % self.negword.strip() if is_negative else "" + money_str = self._money_verbose(left, currency) + cents_str = self._cents_verbose(right, currency) \ + if cents else self._cents_terse(right, currency) + + if right == 0: + return u'%s%s %s' % ( + minus_str, + self.pluralize(left, cr1), + money_str + ) + else: + return u'%s%s %s %s %s' % ( + minus_str, + self.pluralize(left, cr1), + money_str, + self.pluralize(right, cr2), + cents_str + ) diff --git a/ext/py/num2words/num2words/lang_TG.py b/ext/py/num2words/num2words/lang_TG.py new file mode 100644 index 0000000..48291a2 --- /dev/null +++ b/ext/py/num2words/num2words/lang_TG.py @@ -0,0 +1,149 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from . import lang_EU + +GENERIC_DOLLARS = ("доллар", "доллар") +GENERIC_CENTS = ("сент", "сент") + + +class Num2Word_TG(lang_EU.Num2Word_EU): + CURRENCY_FORMS = { + # repalced by EUR + "EUR": (("евро", "евро"), GENERIC_CENTS), + # replaced by EUR + "USD": (GENERIC_DOLLARS, GENERIC_CENTS), + "RUB": (("рубл", "рубл"), ("копейк", "копейк")), + "TJS": (("сомонӣ", "сомонӣ"), ("дирам", "дирам")), + } + + GIGA_SUFFIX = "иллиард" + MEGA_SUFFIX = "иллион" + + def set_high_numwords(self, high): + cap = 3 * (len(high) + 1) + + for word, n in zip(high, range(cap, 5, -3)): + if n == 9: + self.cards[10 ** n] = word + self.GIGA_SUFFIX + + else: + self.cards[10 ** n] = word + self.MEGA_SUFFIX + + def setup(self): + super(Num2Word_TG, self).setup() + + lows = ["квинт", "квадр", "тр", "м", "м"] + self.high_numwords = self.gen_high_numwords([], [], lows) + self.negword = "минус " + self.pointword = "нуқта" + self.exclude_title = ["ва", "минус", "нуқта"] + + self.mid_numwords = [ + (1000, "ҳазор"), + (100, "сад"), + (90, "навад"), + (80, "ҳаштод"), + (70, "ҳафтод"), + (60, "шаст"), + (50, "панҷоҳ"), + (40, "чил"), + (30, "си"), + ] + self.low_numwords = [ + "бист", + "нуздаҳ", + "ҳаждаҳ", + "ҳабдаҳ", + "шонздаҳ", + "понздаҳ", + "чордаҳ", + "сенздаҳ", + "дувоздаҳ", + "ёздаҳ", + "даҳ", + "нӯҳ", + "ҳашт", + "ҳафт", + "шаш", + "панҷ", + "чор", + "се", + "ду", + "як", + "сифр", + ] + + def to_cardinal(self, value): + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value) + + out = "" + if value < 0: + value = abs(value) + out = self.negword + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + if value == 100: + return self.title(out + "сад") + else: + val = self.splitnum(value) + words, num = self.clean(val) + return self.title(out + words) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + if lnum == 1 and rnum < 100: + return (rtext, rnum) + elif 100 > lnum > rnum: + if ltext == "си": + return ("%sю %s" % (ltext, rtext), lnum + rnum) + elif ltext == "панҷоҳ": + return ("панҷову %s" % (rtext), lnum + rnum) + else: + return ("%sу %s" % (ltext, rtext), lnum + rnum) + elif lnum >= 100 > rnum: + return ("%sу %s" % (ltext, rtext), lnum + rnum) + elif rnum > lnum: + if ltext == "яксад" and rtext not in self.low_numwords: + return ("сад %s" % (rtext), lnum * rnum) + if rtext == "сад": + return ("%s%s" % (ltext, rtext), lnum * rnum) + else: + return ("%s %s" % (ltext, rtext), lnum * rnum) + return ("%sу %s" % (ltext, rtext), lnum + rnum) + + def to_ordinal(self, value): + self.verify_ordinal(value) + cardinal = self.to_cardinal(value) + outwords = cardinal.split(" ") + lastword = outwords[-1] + if lastword in ["ду", "се", "си"]: + return "%sюм" % (cardinal) + else: + return "%sум" % (cardinal) + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-2:]) diff --git a/ext/py/num2words/num2words/lang_TH.py b/ext/py/num2words/num2words/lang_TH.py new file mode 100644 index 0000000..42811ea --- /dev/null +++ b/ext/py/num2words/num2words/lang_TH.py @@ -0,0 +1,183 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from num2words.base import Num2Word_Base +from num2words.currency import parse_currency_parts +from num2words.utils import splitbyx + + +class Num2Word_TH(Num2Word_Base): + + def setup(self): + self.negword = 'ติดลบ' + self.pointword = 'จุด' + + self.CURRENCY_FORMS = { + 'THB': (('บาท', 'บาท'), ('สตางค์', 'สตางค์')), + 'USD': (('ดอลลาร์', 'ดอลลาร์'), ('เซนต์', 'เซนต์')), + 'EUR': (('ยูโร', 'ยูโร'), ('เซนต์', 'เซนต์')), + } + + self.high_numwords = [] + + self.mid_numwords = ['', 'สิบ', 'ร้อย', 'พัน', 'หมื่น', 'แสน', 'ล้าน'] + + self.low_numwords = [ + 'ศูนย์', 'หนึ่ง', 'สอง', 'สาม', 'สี่', + 'ห้า', 'หก', 'เจ็ด', 'แปด', 'เก้า' + ] + + def set_high_numwords(self, high_numwords): + pass + + def set_mid_numwords(self, mid_numwords): + pass + + def splitnum(self, six_num): + length = len(six_num) > 1 + word_num = '' + + for index, num in enumerate(map(int, six_num)): + if num: + if index: + word_num = self.mid_numwords[index] + word_num + + if length and num == 1 and index == 0: + word_num += 'เอ็ด' + elif index == 1 and num == 2: + word_num = 'ยี่' + word_num + elif index != 1 or num != 1: + word_num = self.low_numwords[num] + word_num + + elif num == 0 and index == 0 and length == 0: + word_num = self.low_numwords[0] + + return word_num + + def split_six(self, num_txt): + result = splitbyx(num_txt, 6, format_int=False) + result = list(result)[::-1] + number_list = [] + for i in result: + number_list.append(i[::-1]) + return number_list + + def add_text_million(self, word_num): + result = '' + + for index, t in enumerate(reversed(word_num)): + if index == 0: + result = t + else: + result = result + 'ล้าน' + t + + return result + + def round_2_decimal(self, number): + integer, cents, negative = parse_currency_parts( + number, is_int_with_cents=False + ) + integer = '{}'.format(integer) + cents = '{}'.format(cents) + + if len(cents) < 2: + add_zero = 2 - len(cents) + cents = ('0' * add_zero) + cents + + text_num = integer + '.' + cents + + return text_num, negative + + def left_num_to_text(self, number): + + left_num_list = self.split_six(number) + + left_text_list = [] + for i in left_num_list: + left_text_list.append(self.splitnum(i)) + + left_text = self.add_text_million(left_text_list) + return left_text + + def to_cardinal(self, number): + negative = number < 0 + + pre, post = self.float2tuple(number) + precision = self.precision + pre = '{}'.format(pre) + post = '{}'.format(post) + + if negative: + pre = pre.lstrip('-') + + if len(post) < precision: + add_zero = precision - len(post) + post = ('0' * add_zero) + post + + result = self.left_num_to_text(pre) + + right_text = '' + if not post == '0': + for i in map(int, post): + right_text = right_text + self.low_numwords[i] + result = result + 'จุด' + right_text + + if negative: + result = 'ติดลบ' + result + + return result + + def to_ordinal(self, number): + return self.to_cardinal(number) + + def to_currency(self, number, currency='THB'): + + number, negative = self.round_2_decimal(number) + + split_num = number.split('.') + + left_num = split_num[0] + left_text = self.left_num_to_text(left_num) + + right_num = split_num[1] + right_text = self.splitnum(right_num[::-1].rstrip('0')) + + try: + cr1, cr2 = self.CURRENCY_FORMS[currency] + + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + if right_num == '00': + if currency == 'THB': + result = left_text + cr1[0] + 'ถ้วน' + else: + result = left_text + cr1[0] + else: + if left_num == '0': + result = right_text + cr2[0] + else: + result = left_text + cr1[0] + right_text + cr2[0] + + if negative: + result = self.negword + result + + return result diff --git a/ext/py/num2words/num2words/lang_TR.py b/ext/py/num2words/num2words/lang_TR.py new file mode 100644 index 0000000..2f20dd6 --- /dev/null +++ b/ext/py/num2words/num2words/lang_TR.py @@ -0,0 +1,856 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. +# Copyright (c) 2017, Tufan Kaynak, Framras. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base + + +class Num2Word_TR(Num2Word_Base): + def __init__(self): + self.precision = 2 + self.negword = u"eksi" + self.pointword = u"virgül" + self.CURRENCY_UNIT = u"lira" + self.CURRENCY_SUBUNIT = u"kuruş" + self.errmsg_nonnum = u"Sadece sayılar yazıya çevrilebilir." + self.errmsg_floatord = u"Tam sayı olmayan {} sıralamada kullanılamaz." + self.errmsg_negord = u"Pozitif olmayan {} sıralamada kullanılamaz." + self.errmsg_toobig = u"abs({}) sayı yazıya çevirmek için çok büyük. " \ + u"Yazıya çevrilebilecek en büyük rakam {}." + self.exclude_title = [] + self.DECIMAL_SIGN = "," + self.ORDINAL_SIGN = "." + self.ZERO = u"sıfır" + self.CARDINAL_ONES = { + "1": u"bir", + "2": u"iki", + "3": u"üç", + "4": u"dört", + "5": u"beş", + "6": u"altı", + "7": u"yedi", + "8": u"sekiz", + "9": u"dokuz" + } + self.ORDINAL_ONES = { + "1": u"birinci", + "2": u"ikinci", + "3": u"üçüncü", + "4": u"dördüncü", + "5": u"beşinci", + "6": u"altıncı", + "7": u"yedinci", + "8": u"sekizinci", + "9": u"dokuzuncu" + } + self.CARDINAL_TENS = { + "1": u"on", + "2": u"yirmi", + "3": u"otuz", + "4": u"kırk", + "5": u"elli", + "6": u"altmış", + "7": u"yetmiş", + "8": u"seksen", + "9": u"doksan" + } + self.ORDINAL_TENS = { + "1": u"onuncu", + "2": u"yirminci", + "3": u"otuzuncu", + "4": u"kırkıncı", + "5": u"ellinci", + "6": u"altmışıncı", + "7": u"yetmişinci", + "8": u"sekseninci", + "9": u"doksanıncı" + } + self.HUNDREDS = { + "2": u"iki", + "3": u"üç", + "4": u"dört", + "5": u"beş", + "6": u"altı", + "7": u"yedi", + "8": u"sekiz", + "9": u"dokuz" + } + self.CARDINAL_HUNDRED = (u"yüz",) + self.ORDINAL_HUNDRED = (u"yüzüncü",) + self.CARDINAL_TRIPLETS = { + 1: u"bin", + 2: u"milyon", + 3: u"milyar", + 4: u"trilyon", + 5: u"katrilyon", + 6: u"kentilyon" + } + self.ORDINAL_TRIPLETS = { + 1: u"bininci", + 2: u"milyonuncu", + 3: u"milyarıncı", + 4: u"trilyonuncu", + 5: u"katrilyonuncu", + 6: u"kentilyon" + } + self.MAXVAL = (10 ** ((len(self.CARDINAL_TRIPLETS) + 1) * 3)) - 1 + + self.integers_to_read = [] + self.total_triplets_to_read = 0 + self.total_digits_outside_triplets = 0 + self.order_of_last_zero_digit = 0 + + def to_cardinal(self, value): + wrd = "" + is_cardinal = self.verify_cardinal(value) + if not is_cardinal: + return wrd + + if not int(value) == value: + return self.to_cardinal_float(value) + + if str(value).startswith("-"): + pre_word, value = self.negword, float(str(value)[1:]) + else: + pre_word, value = "", float(value) + + self.to_splitnum(value) + + if self.order_of_last_zero_digit >= len(self.integers_to_read[0]): + # number like 00 and all 0s and even more, raise error + return "%s%s" % (pre_word, wrd) + + if self.total_triplets_to_read == 1: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == 1: + # number like x0, read cardinal x0 and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 0: + # number like xy, read cardinal xy and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + return "%s%s" % (pre_word, wrd) + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == 0: + # number like x, read cardinal x and return + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + if self.integers_to_read[0][0] == "0": + return self.ZERO + return "%s%s" % (pre_word, wrd) + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == 2: + # number like x00, read cardinal x00 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 1: + # number like xy0, read cardinal xy0 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == 0: + # number like xyz, read cardinal xyz and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + return "%s%s" % (pre_word, wrd) + + if self.total_triplets_to_read >= 2: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x0 and all 0s, read cardinal x0 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy and all 0s, read cardinal xy 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 2: + # number like xy and others, read cardinal xy n..n + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x and all 0s, read cardinal x 0..0 + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 1: + # number like x and others, read cardinal x n..n + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x00 and all 0s, read cardinal x00 0..0 + # and return + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy0 and all 0s, read cardinal xy0 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 3: + # number like xyz and all 0s, read cardinal xyz 0..0 + # and return + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return "%s%s" % (pre_word, wrd) + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 3: + # number like xyz and all others, read cardinal xyz n..n + wrd += self.HUNDREDS.get(self.integers_to_read[0][0], "") + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][2] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + for i in list(range(self.total_triplets_to_read - 1, 0, -1)): + reading_triplet_order = self.total_triplets_to_read - i + if self.total_digits_outside_triplets == 0: + last_read_digit_order = reading_triplet_order * 3 + else: + last_read_digit_order = (reading_triplet_order - 1) * 3 +\ + self.total_digits_outside_triplets + + if not self.integers_to_read[0][ + last_read_digit_order: last_read_digit_order + 3 + ] == "000": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "0": + wrd += self.HUNDREDS.get( + self.integers_to_read[0][last_read_digit_order], "" + ) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 1: + if i == 1: + wrd += self.CARDINAL_HUNDRED[0] + return "%s%s" % (pre_word, wrd) + elif i > 1: + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + wrd += self.CARDINAL_HUNDRED[0] + + if not self.integers_to_read[0][ + last_read_digit_order + 1] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 2: + if i == 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + return "%s%s" % (pre_word, wrd) + elif i > 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + + if not self.integers_to_read[0][ + last_read_digit_order + 2] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 3: + if i == 1: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + return "%s%s" % (pre_word, wrd) + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + if i > 2: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.CARDINAL_TRIPLETS[i - 1] + return "%s%s" % (pre_word, wrd) + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + else: + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2 + ] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + + wrd += self.CARDINAL_TRIPLETS[i - 1] + + return "%s%s" % (pre_word, wrd) + + def to_cardinal_float(self, value): + self.to_splitnum(value) + wrd = "" + wrd += self.pointword + if len(self.integers_to_read[1]) >= 1: + wrd += self.CARDINAL_TENS.get(self.integers_to_read[1][0], "") + + if len(self.integers_to_read[1]) == 2: + wrd += self.CARDINAL_ONES.get(self.integers_to_read[1][1], "") + + if self.integers_to_read[0] == "0": + wrd = self.ZERO + wrd + else: + wrd = self.to_cardinal(int(self.integers_to_read[0])) + wrd + return wrd + + def verify_cardinal(self, value): + iscardinal = True + try: + if not float(value) == value: + iscardinal = False + except (ValueError, TypeError): + raise TypeError(self.errmsg_nonnum) + if abs(value) >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig.format(value, self.MAXVAL)) + return iscardinal + + def verify_ordinal(self, value): + isordinal = True + try: + if not int(value) == value: + isordinal = False + if not abs(value) == value: + raise TypeError(self.errmsg_negord.format(value)) + except (ValueError, TypeError): + raise TypeError(self.errmsg_nonnum) + if abs(value) >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig.format(value, self.MAXVAL)) + return isordinal + + def to_ordinal(self, value): + wrd = "" + isordinal = self.verify_ordinal(value) + if isordinal: + self.to_splitnum(value) + + if self.order_of_last_zero_digit >= len(self.integers_to_read[0]): + # number like 00 and all 0s and even more, raise error + return wrd + + if self.total_triplets_to_read == 1: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == 1: + # number like x0, read ordinal x0 and return + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + return wrd + if self.order_of_last_zero_digit == 0: + # number like xy, read ordinal xy and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + return wrd + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == 0: + # number like x, read ordinal x and return + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + if self.integers_to_read[0][0] == "0": + return u"sıfırıncı" + return wrd + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == 2: + # number like x00, read ordinal x00 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_HUNDRED[0] + return wrd + if self.order_of_last_zero_digit == 1: + # number like xy0, read ordinal xy0 and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + return wrd + if self.order_of_last_zero_digit == 0: + # number like xyz, read ordinal xyz and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not self.integers_to_read[0][2] == "0": + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + return wrd + + if self.total_triplets_to_read >= 2: + if self.total_digits_outside_triplets == 2: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x0 and all 0s, read ordinal x0 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy and all 0s, read ordinal xy 0..0 + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 2: + # number like xy and others, read cardinal xy n..n + # and return + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 1: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x and all 0s, read ordinal x 0..0 + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 1: + # number like x and others, read cardinal x n..n + # and return + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][0] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + if self.total_digits_outside_triplets == 0: + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 1: + # number like x00 and all 0s, read ordinal x00 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 2: + # number like xy0 and all 0s, read ordinal xy0 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - 3: + # number like xyz and all 0s, read ordinal xyz 0..0 + # and return + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.ORDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + return wrd + if self.order_of_last_zero_digit < len( + self.integers_to_read[0]) - 3: + # number like xyz and all others, read cardinal + # xyz n..n + wrd += self.HUNDREDS.get( + self.integers_to_read[0][0], "" + ) + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][1], "" + ) + if not (self.total_triplets_to_read == 2 and + self.integers_to_read[0][2] == "1"): + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][2], "" + ) + wrd += self.CARDINAL_TRIPLETS[ + self.total_triplets_to_read - 1 + ] + + for i in list(range(self.total_triplets_to_read - 1, 0, -1)): + reading_triplet_order = self.total_triplets_to_read - i + if self.total_digits_outside_triplets == 0: + last_read_digit_order = reading_triplet_order * 3 + else: + last_read_digit_order = \ + (reading_triplet_order - 1) * 3 + \ + self.total_digits_outside_triplets + + if not self.integers_to_read[0][ + last_read_digit_order: last_read_digit_order + 3 + ] == "000": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "0": + if not self.integers_to_read[0][ + last_read_digit_order + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + ], "" + ) + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 1: + if i == 1: + wrd += self.ORDINAL_HUNDRED[0] + return wrd + elif i > 1: + wrd += self.CARDINAL_HUNDRED[0] + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + wrd += self.CARDINAL_HUNDRED[0] + + if not self.integers_to_read[0][ + last_read_digit_order + 1 + ] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 2: + if i == 1: + wrd += self.ORDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + return wrd + elif i > 1: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + wrd += self.CARDINAL_TENS.get( + self.integers_to_read[0][ + last_read_digit_order + 1], "" + ) + + if not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "0": + if self.order_of_last_zero_digit == len( + self.integers_to_read[0]) - ( + last_read_digit_order) - 3: + if i == 1: + wrd += self.ORDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + return wrd + if i == 2: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2 + ] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + if i > 2: + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + wrd += self.ORDINAL_TRIPLETS[i - 1] + return wrd + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + else: + if not self.integers_to_read[0][ + last_read_digit_order: + last_read_digit_order + 2] == "00": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + elif not self.integers_to_read[0][ + last_read_digit_order + 2] == "1": + wrd += self.CARDINAL_ONES.get( + self.integers_to_read[0][ + last_read_digit_order + 2], "" + ) + + wrd += self.CARDINAL_TRIPLETS[i - 1] + + return wrd + + def to_ordinal_num(self, value): + self.verify_ordinal(value) + return "%s%s" % (value, self.to_ordinal(value)[-4:]) + + def to_splitnum(self, val): + float_digits = str(int(val * 10 ** self.precision)) + if not int(val) == 0: + self.integers_to_read = [ + str(int(val)), + float_digits[len(float_digits) - self.precision:] + ] + else: + self.integers_to_read = [ + "0", + "0" * (self.precision - len(float_digits)) + + float_digits[len(float_digits) - self.precision:] + ] + if len(self.integers_to_read[0]) % 3 > 0: + self.total_triplets_to_read = (len(self.integers_to_read[0]) // 3)\ + + 1 + elif len(self.integers_to_read[0]) % 3 == 0: + self.total_triplets_to_read = len(self.integers_to_read[0]) // 3 + self.total_digits_outside_triplets = len(self.integers_to_read[0]) % 3 + + okunacak = list(self.integers_to_read[0][::-1]) + self.order_of_last_zero_digit = 0 + found = 0 + for i in range(len(okunacak) - 1): + if int(okunacak[i]) == 0 and found == 0: + self.order_of_last_zero_digit = i + 1 + else: + found = 1 + + def to_currency(self, value): + if int(value) == 0: + return u"bedelsiz" + valueparts = self.to_cardinal(value).split(self.pointword) + if len(valueparts) == 1: + return valueparts[0] + self.CURRENCY_UNIT + if len(valueparts) == 2: + return self.CURRENCY_UNIT.join(valueparts) + \ + self.CURRENCY_SUBUNIT diff --git a/ext/py/num2words/num2words/lang_UK.py b/ext/py/num2words/num2words/lang_UK.py new file mode 100644 index 0000000..188d7ce --- /dev/null +++ b/ext/py/num2words/num2words/lang_UK.py @@ -0,0 +1,1067 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +from .base import Num2Word_Base +from .utils import get_digits, splitbyx + +ZERO = ('нуль',) + +ONES_FEMININE = { + 1: ('одна', "однієї", "одній", "одну", "однією", "одній"), + 2: ('дві', "двох", "двом", "дві", "двома", "двох"), + 3: ('три', "трьох", "трьом", "три", "трьома", "трьох"), + 4: ('чотири', "чотирьох", "чотирьом", "чотири", "чотирма", "чотирьох"), + 5: ('п\'ять', "п'яти", "п'яти", "п'ять", "п'ятьма", "п'яти"), + 6: ('шість', "шести", "шести", "шість", "шістьма", "шести"), + 7: ('сім', "семи", "семи", "сім", "сьома", "семи"), + 8: ('вісім', "восьми", "восьми", "вісім", "вісьма", "восьми"), + 9: ("дев'ять", "дев'яти", "дев'яти", "дев'ять", "дев'ятьма", "дев'яти"), +} + +ONES = { + 1: ('один', 'одного', "одному", "один", "одним", "одному"), + 2: ('два', 'двох', "двом", "два", "двома", "двох"), + 3: ('три', 'трьох', "трьом", "три", "трьома", "трьох"), + 4: ('чотири', 'чотирьох', "чотирьом", "чотири", "чотирма", "чотирьох"), + 5: ('п\'ять', "п'яти", "п'яти", "п'ять", "п'ятьма", "п'яти"), + 6: ('шість', 'шести', "шести", "шість", "шістьма", "шести"), + 7: ('сім', 'семи', "семи", "сім", "сьома", "семи"), + 8: ('вісім', 'восьми', "восьми", "вісім", "вісьма", "восьми"), + 9: ("дев'ять", "дев'яти", "дев'яти", "дев'ять", "дев'ятьма", "дев'яти"), +} + +ONES_ORDINALS = { + 1: ("перший", "одно"), + 2: ("другий", "двох"), + 3: ("третій", "трьох"), + 4: ("четвертий", "чотирьох"), + 5: ("п'ятий", "п'яти"), + 6: ("шостий", "шести"), + 7: ("сьомий", "семи"), + 8: ("восьмий", "восьми"), + 9: ("дев'ятий", "дев'яти"), + 10: ("десятий", "десяти"), + 11: ("одинадцятий", "одинадцяти"), + 12: ("дванадцятий", "дванадцяти"), + 13: ("тринадцятий", "тринадцяти"), + 14: ("чотирнадцятий", "чотирнадцяти"), + 15: ("п'ятнадцятий", "п'ятнадцяти"), + 16: ("шістнадцятий", "шістнадцяти"), + 17: ("сімнадцятий", "сімнадцяти"), + 18: ("вісімнадцятий", "вісімнадцяти"), + 19: ("дев'ятнадцятий", "дев'ятнадцяти"), +} +TENS = { + 0: ('десять', + 'десяти', + "десяти", + "десять", + "десятьма", + "десяти"), + 1: ('одинадцять', + 'одинадцяти', + "одинадцяти", + "одинадцять", + "одинадцятьма", + "одинадцяти"), + 2: ('дванадцять', + 'дванадцяти', + "дванадцяти", + "дванадцять", + "дванадцятьма", + "дванадцяти"), + 3: ('тринадцять', + 'тринадцяти', + "тринадцяти", + "тринадцять", + "тринадцятьма", + "тринадцяти"), + 4: ('чотирнадцять', + 'чотирнадцяти', + "чотирнадцяти", + "чотирнадцять", + "чотирнадцятьма", + "чотирнадцяти"), + 5: ("п'ятнадцять", + "п'ятнадцяти", + "п'ятнадцяти", + "п'ятнадцять", + "п'ятнадцятьма", + "п'ятнадцяти"), + 6: ('шістнадцять', + 'шістнадцяти', + "шістнадцяти", + "шістнадцять", + "шістнадцятьма", + "шістнадцяти"), + 7: ('сімнадцять', + 'сімнадцяти', + "сімнадцяти", + "сімнадцять", + "сімнадцятьма", + "сімнадцяти"), + 8: ('вісімнадцять', + 'вісімнадцяти', + "вісімнадцяти", + "вісімнадцять", + "вісімнадцятьма", + "вісімнадцяти"), + 9: ("дев'ятнадцять", + "дев'ятнадцяти", + "дев'ятнадцяти", + "дев'ятнадцять", + "дев'ятнадцятьма", + "дев'ятнадцяти"), +} + +TWENTIES = { + 2: ('двадцять', + "двадцяти", + "двадцяти", + "двадцять", + "двадцятьма", + "двадцяти"), + 3: ('тридцять', + "тридцяти", + "тридцяти", + "тридцять", + "тридцятьма", + "тридцяти"), + 4: ('сорок', + "сорока", + "сорока", + "сорок", + "сорока", + "сорока"), + 5: ('п\'ятдесят', + "п'ятдесяти", + "п'ятдесяти", + "п'ятдесят", + "п'ятдесятьма", + "п'ятдесяти"), + 6: ('шістдесят', + "шістдесяти", + "шістдесяти", + "шістдесят", + "шістдесятьма", + "шістдесяти"), + 7: ('сімдесят', + "сімдесяти", + "сімдесяти", + "сімдесят", + "сімдесятьма", + "сімдесяти"), + 8: ('вісімдесят', + "вісімдесяти", + "вісімдесяти", + "вісімдесят", + "вісімдесятьма", + "вісімдесяти"), + 9: ('дев\'яносто', + "дев'яноста", + "дев'яноста", + "дев'яносто", + "дев'яностами", + "дев'яноста"), +} + +TWENTIES_ORDINALS = { + 2: ("двадцятий", "двадцяти"), + 3: ("тридцятий", "тридцяти"), + 4: ("сороковий", "сорока"), + 5: ("п'ятдесятий", "п'ятдесяти"), + 6: ("шістдесятий", "шістдесяти"), + 7: ("сімдесятий", "сімдесяти"), + 8: ("вісімдесятий", "вісімдесяти"), + 9: ("дев'яностий", "дев'яности"), +} + +HUNDREDS = { + 1: ('сто', + "ста", + "ста", + "сто", + "стами", + "стах"), + 2: ('двісті', + "двохста", + "двомстам", + "двісті", + "двомастами", + "двохстах"), + 3: ('триста', + "трьохста", + "трьомстам", + "триста", + "трьомастами", + "трьохстах"), + 4: ('чотириста', + "чотирьохста", + "чотирьомстам", + "чотириста", + "чотирмастами", + "чотирьохстах"), + 5: ('п\'ятсот', + "п'ятиста", + "п'ятистам", + "п'ятсот", + "п'ятьмастами", + "п'ятистах"), + 6: ('шістсот', + "шестиста", + "шестистам", + "шістсот", + "шістьмастами", + "шестистах"), + 7: ('сімсот', + "семиста", + "семистам", + "сімсот", + "сьомастами", + "семистах"), + 8: ('вісімсот', + "восьмиста", + "восьмистам", + "вісімсот", + "восьмастами", + "восьмистах"), + 9: ("дев'ятсот", + "дев'ятиста", + "дев'ятистам", + "дев'ятсот", + "дев'ятьмастами", + "дев'ятистах"), +} + +HUNDREDS_ORDINALS = { + 1: ("сотий", "сто"), + 2: ("двохсотий", "двохсот"), + 3: ("трьохсотий", "трьохсот"), + 4: ("чотирьохсотий", "чотирьохсот"), + 5: ("п'ятисотий", "п'ятсот"), + 6: ("шестисотий", "шістсот"), + 7: ("семисотий", "сімсот"), + 8: ("восьмисотий", "вісімсот"), + 9: ("дев'ятисотий", "дев'ятсот"), +} + +THOUSANDS = { + # 10^3 + 1: (('тисяча', 'тисячі', 'тисяч'), + ('тисячи', 'тисяч', 'тисяч'), + ('тисячі', 'тисячам', 'тисячам'), + ('тисячу', 'тисячі', 'тисяч'), + ('тисячею', 'тисячами', 'тисячами'), + ('тисячі', 'тисячах', 'тисячах'),), + # 10^6 + 2: (('мільйон', 'мільйони', 'мільйонів'), + ('мільйона', 'мільйонів', 'мільйонів'), + ('мільйону', 'мільйонам', 'мільйонам'), + ('мільйон', 'мільйони', 'мільйонів'), + ('мільйоном', 'мільйонами', 'мільйонів'), + ('мільйоні', 'мільйонах', 'мільйонах'),), + # 10^9 + 3: (('мільярд', 'мільярди', 'мільярдів'), + ('мільярда', 'мільярдів', 'мільярдів'), + ('мільярду', 'мільярдам', 'мільярдам'), + ('мільярд', 'мільярди', 'мільярдів'), + ('мільярдом', 'мільярдами', 'мільярдів'), + ('мільярді', 'мільярдах', 'мільярдах'),), + # 10^12 + 4: (('трильйон', 'трильйони', 'трильйонів'), + ('трильйона', 'трильйонів', 'трильйонів'), + ('трильйону', 'трильйонам', 'трильйонам'), + ('трильйон', 'трильйони', 'трильйонів'), + ('трильйоном', 'трильйонами', 'трильйонів'), + ('трильйоні', 'трильйонах', 'трильйонах'),), + # 10^15 + 5: (('квадрильйон', 'квадрильйони', 'квадрильйонів'), + ('квадрильйона', 'квадрильйонів', 'квадрильйонів'), + ('квадрильйону', 'квадрильйонам', 'квадрильйонам'), + ('квадрильйон', 'квадрильйони', 'квадрильйонів'), + ('квадрильйоном', 'квадрильйонами', 'квадрильйонів'), + ('квадрильйоні', 'квадрильйонах', 'квадрильйонах'),), + # 10^18 + 6: (('квінтильйон', 'квінтильйони', 'квінтильйонів'), + ('квінтильйона', 'квінтильйонів', 'квінтильйонів'), + ('квінтильйону', 'квінтильйонам', 'квінтильйонам'), + ('квінтильйон', 'квінтильйони', 'квінтильйонів'), + ('квінтильйоном', 'квінтильйонами', 'квінтильйонів'), + ('квінтильйоні', 'квінтильйонах', 'квінтильйонах'),), + # 10^21 + 7: (('секстильйон', 'секстильйони', 'секстильйонів'), + ('секстильйона', 'секстильйонів', 'секстильйонів'), + ('секстильйону', 'секстильйонам', 'секстильйонам'), + ('секстильйон', 'секстильйони', 'секстильйонів'), + ('секстильйоном', 'секстильйонами', 'секстильйонів'), + ('секстильйоні', 'секстильйонах', 'секстильйонах'),), + # 10^24 + 8: (('септильйон', 'септильйони', 'септильйонів'), + ('септильйона', 'септильйонів', 'септильйонів'), + ('септильйону', 'септильйонам', 'септильйонам'), + ('септильйон', 'септильйони', 'септильйонів'), + ('септильйоном', 'септильйонами', 'септильйонів'), + ('септильйоні', 'септильйонах', 'септильйонах'),), + # 10^27 + 9: (('октильйон', 'октильйони', 'октильйонів'), + ('октильйона', 'октильйонів', 'октильйонів'), + ('октильйону', 'октильйонам', 'октильйонам'), + ('октильйон', 'октильйони', 'октильйонів'), + ('октильйоном', 'октильйонами', 'октильйонів'), + ('октильйоні', 'октильйонах', 'октильйонах'),), + # 10^30 + 10: (('нонільйон', 'нонільйони', 'нонільйонів'), + ('нонільйона', 'нонільйонів', 'нонільйонів'), + ('нонільйону', 'нонільйонам', 'нонільйонам'), + ('нонільйон', 'нонільйони', 'нонільйонів'), + ('нонільйоном', 'нонільйонами', 'нонільйонів'), + ('нонільйоні', 'нонільйонах', 'нонільйонах'),), +} + +prefixes_ordinal = { + 1: "тисячний", + 2: "мільйонний", + 3: "мільярдний", + 4: "трильйонний", + 5: "квадрильйонний", + 6: "квінтильйонний", + 7: "секстильйонний", + 8: "септильйонний", + 9: "октильйонний", + 10: "нонільйонний", +} + +FEMININE_MONEY = ('AOA', 'BAM', 'BDT', 'BWP', 'CZK', 'DKK', + 'ERN', 'HNL', 'HRK', 'IDR', 'INR', 'ISK', + 'JPY', 'KPW', 'KRW', 'LKR', 'MOP', 'MRU', + 'MUR', 'MVR', 'MWK', 'NGN', 'NIO', 'NOK', + 'NPR', 'PKR', 'SCR', 'SEK', 'STN', 'TRY', + 'WST', 'UAH', 'ZMW') +FEMININE_CENTS = ('ALL', 'BDT', 'BGN', 'BYN', 'GHS', 'HRK', + 'ILS', 'INR', 'NPR', 'OMR', 'OMR', 'PKR', + 'RSD', 'RUB', 'UAH') + +GENERIC_DOLLARS = ('долар', 'долари', 'доларів') +GENERIC_CENTS = ('цент', 'центи', 'центів') + + +class Num2Word_UK(Num2Word_Base): + CURRENCY_FORMS = { + 'AED': ( + ('дирхам', 'дирхами', 'дирхамів'), + ('філс', 'філси', 'філсів') + ), + 'AFN': ( + ('афгані', 'афгані', 'афгані'), + ('пул', 'пули', 'пулів') + ), + 'ALL': ( + ('лек', 'леки', 'леків'), + ('кіндарка', 'кіндарки', 'кіндарок') + ), + 'AMD': ( + ('драм', 'драми', 'драмів'), + ('лум', 'лум', 'лум') + ), + 'ANG': ( + ('гульден', 'гульдени', 'гульденів'), + GENERIC_CENTS + ), + 'AOA': ( + ('кванза', 'кванзи', 'кванз'), + ('сентимо', 'сентимо', 'сентимо') + ), + 'ARS': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'AUD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'AWG': ( + ('флорин', 'флорини', 'флоринів'), + GENERIC_CENTS + ), + 'AZN': ( + ('манат', 'манати', 'манатів'), + ('гяпік', 'гяпіки', 'гяпіків') + ), + 'BAM': ( + ('марка', 'марки', 'марок'), + ('фенінг', 'фенінги', 'фенінгів') + ), + 'BBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BDT': ( + ('така', 'таки', 'так'), + ('пойша', 'пойші', 'пойш') + ), + 'BGN': ( + ('лев', 'леви', 'левів'), + ('стотинка', 'стотинки', 'стотинок') + ), + 'BHD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'BIF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'BMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BND': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BOB': ( + ('болівіано', 'болівіано', 'болівіано'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'BRL': ( + ('реал', 'реали', 'реалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'BSD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'BTN': ( + ('нгултрум', 'нгултруми', 'нгултрумів'), + ('четрум', 'четруми', 'четрумів') + ), + 'BWP': ( + ('пула', 'пули', 'пул'), + ('тхебе', 'тхебе', 'тхебе') + ), + 'BYN': ( + ('рубель', 'рублі', 'рублів'), + ('копійка', 'копійки', 'копійок') + ), + 'BZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'CDF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'CHF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'CLP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CNY': ( + ('юань', 'юані', 'юанів'), + ('финь', 'фині', 'финів') + ), + 'COP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CRC': ( + ('колон', 'колони', 'колонів'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'CUC': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CUP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CVE': ( + ('ескудо', 'ескудо', 'ескудо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'CZK': ( + ('крона', 'крони', 'крон'), + ('гелер', 'гелери', 'гелерів') + ), + 'DJF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'DKK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'DOP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'DZD': ( + ('динар', 'динари', 'динарів'), + ('сантим', 'сантими', 'сантимів') + ), + 'EGP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'ERN': ( + ('накфа', 'накфи', 'накф'), + GENERIC_CENTS + ), + 'ETB': ( + ('бир', 'бири', 'бирів'), + GENERIC_CENTS + ), + 'EUR': ( + ('євро', 'євро', 'євро'), + GENERIC_CENTS + ), + 'FJD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'FKP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GBP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GEL': ( + ('ларі', 'ларі', 'ларі'), + ('тетрі', 'тетрі', 'тетрі') + ), + 'GHS': ( + ('седі', 'седі', 'седі'), + ('песева', 'песеви', 'песев') + ), + 'GIP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'GMD': ( + ('даласі', 'даласі', 'даласі'), + ('бутут', 'бутути', 'бутутів') + ), + 'GNF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'GTQ': ( + ('кетсаль', 'кетсалі', 'кетсалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'GYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HKD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'HNL': ( + ('лемпіра', 'лемпіри', 'лемпір'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'HRK': ( + ('куна', 'куни', 'кун'), + ('ліпа', 'ліпи', 'ліп') + ), + 'HTG': ( + ('гурд', 'гурди', 'гурдів'), + ('сантим', 'сантими', 'сантимів') + ), + 'HUF': ( + ('форинт', 'форинти', 'форинтів'), + ('філлер', 'філлери', 'філлерів') + ), + 'IDR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'ILS': ( + ('шекель', 'шекелі', 'шекелів'), + ('агора', 'агори', 'агор') + ), + 'INR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'IQD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'IRR': ( + ('ріал', 'ріали', 'ріалів'), + ('динар', 'динари', 'динарів') + ), + 'ISK': ( + ('крона', 'крони', 'крон'), + ('ейре', 'ейре', 'ейре') + ), + 'JMD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'JOD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'JPY': ( + ('єна', 'єни', 'єн'), + ('сен', 'сен', 'сен') + ), + 'KES': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'KGS': ( + ('сом', 'соми', 'сомів'), + ('тиїн', 'тиїни', 'тиїнів') + ), + 'KHR': ( + ('рієль', 'рієлі', 'рієлів'), + ('су', 'су', 'су') + ), + 'KMF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'KPW': ( + ('вона', 'вони', 'вон'), + ('чон', 'чони', 'чонів') + ), + 'KRW': ( + ('вона', 'вони', 'вон'), + ('джеон', 'джеони', 'джеонів') + ), + 'KWD': ( + ('динар', 'динари', 'динарів'), + ('філс', 'філси', 'філсів') + ), + 'KYD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'KZT': ( + ('теньге', 'теньге', 'теньге'), + ('тиїн', 'тиїни', 'тиїнів')), + 'LAK': ( + ('кіп', 'кіпи', 'кіпів'), + ('ат', 'ати', 'атів') + ), + 'LBP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'LKR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'LRD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'LSL': ( + ('лоті', 'малоті', 'малоті'), + ('сенте', 'лісенте', 'лісенте') + ), + 'LYD': ( + ('динар', 'динари', 'динарів'), + ('дирхам', 'дирхами', 'дирхамів') + ), + 'MAD': ( + ('дирхам', 'дирхами', 'дирхамів'), + ('сантим', 'сантими', 'сантимів') + ), + 'MDL': ( + ('лей', 'леї', 'леї'), + ('бан', 'бані', 'бані') + ), + 'MGA': ( + ('аріарі', 'аріарі', 'аріарі'), + ('іраймбіланья', 'іраймбіланья', 'іраймбіланья') + ), + 'MKD': ( + ('денар', 'денари', 'денарів'), + ('дені', 'дені', 'дені') + ), + 'MMK': ( + ('к\'ят', 'к\'ят', 'к\'ят'), + ('п\'я', 'п\'я', 'п\'я') + ), + 'MNT': ( + ('тугрик', 'тугрики', 'тугриків'), + ('мунгу', 'мунгу', 'мунгу') + ), + 'MOP': ( + ('патака', 'патакі', 'патак'), + ('аво', 'аво', 'аво') + ), + 'MRU': ( + ('угія', 'угії', 'угій'), + ('хумс', 'хумс', 'хумс') + ), + 'MUR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'MVR': ( + ('руфія', 'руфії', 'руфій'), + ('ларі', 'ларі', 'ларі') + ), + 'MWK': ( + ('квача', 'квачі', 'квач'), + ('тамбала', 'тамбала', 'тамбала') + ), + 'MXN': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'MYR': ( + ('рингіт', 'рингіти', 'рингітів'), + GENERIC_CENTS + ), + 'MZN': ( + ('метікал', 'метікали', 'метікалів'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'NAD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'NGN': ( + ('найра', 'найри', 'найр'), + ('кобо', 'кобо', 'кобо') + ), + 'NIO': ( + ('кордоба', 'кордоби', 'кордоб'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'NOK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'NPR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'NZD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'OMR': ( + ('ріал', 'ріали', 'ріалів'), + ('байза', 'байзи', 'байз') + ), + 'PAB': ( + ('бальбоа', 'бальбоа', 'бальбоа'), + ('сентесімо', 'сентесімо', 'сентесімо') + ), + 'PEN': ( + ('соль', 'соль', 'соль'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'PGK': ( + ('кіна', 'кіна', 'кіна'), + ('тойя', 'тойя', 'тойя') + ), + 'PHP': ( + ('песо', 'песо', 'песо'), + ('сентаво', 'сентаво', 'сентаво') + ), + 'PKR': ( + ('рупія', 'рупії', 'рупій'), + ('пайса', 'пайси', 'пайс') + ), + 'PLN': ( + ('злотий', 'злоті', 'злотих'), + ('грош', 'гроші', 'грошів') + ), + 'PYG': ( + ('гуарані', 'гуарані', 'гуарані'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'QAR': ( + ('ріал', 'ріали', 'ріалів'), + ('дирхам', 'дирхами', 'дирхамів') + ), + 'RON': ( + ('лей', 'леї', 'леї'), + ('бан', 'бані', 'бані') + ), + 'RSD': ( + ('динар', 'динари', 'динарів'), + ('пара', 'пари', 'пар') + ), + 'RUB': ( + ('рубль', 'рублі', 'рублів'), + ('копійка', 'копійки', 'копійок') + ), + 'RWF': ( + ('франк', 'франки', 'франків'), + ('сантим', 'сантими', 'сантимів') + ), + 'SAR': ( + ('ріал', 'ріали', 'ріалів'), + ('халал', 'халали', 'халалів') + ), + 'SBD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SCR': ( + ('рупія', 'рупії', 'рупій'), + GENERIC_CENTS + ), + 'SDG': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'SEK': ( + ('крона', 'крони', 'крон'), + ('ере', 'ере', 'ере') + ), + 'SGD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SHP': ( + ('фунт', 'фунти', 'фунтів'), + ('пенс', 'пенси', 'пенсів') + ), + 'SLL': ( + ('леоне', 'леоне', 'леоне'), + GENERIC_CENTS + ), + 'SOS': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'SRD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'SSP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'STN': ( + ('добра', 'добри', 'добр'), + ('сентімо', 'сентімо', 'сентімо') + ), + 'SYP': ( + ('фунт', 'фунти', 'фунтів'), + ('піастр', 'піастри', 'піастрів') + ), + 'SZL': ( + ('ліланґені', 'ліланґені', 'ліланґені'), + GENERIC_CENTS + ), + 'THB': ( + ('бат', 'бати', 'батів'), + ('сатанг', 'сатанги', 'сатангів') + ), + 'TJS': ( + ('сомоні', 'сомоні', 'сомоні'), + ('дірам', 'дірами', 'дірамів') + ), + 'TMT': ( + ('манат', 'манати', 'манатів'), + ('тенге', 'тенге', 'тенге') + ), + 'TND': ( + ('динар', 'динари', 'динарів'), + ('міллім', 'мілліми', 'міллімів') + ), + 'TOP': ( + ('паанга', 'паанга', 'паанга'), + ('сеніті', 'сеніті', 'сеніті') + ), + 'TRY': ( + ('ліра', 'ліри', 'лір'), + ('куруш', 'куруші', 'курушів') + ), + 'TTD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'TWD': ( + ('новий долар', 'нові долари', 'нових доларів'), + GENERIC_CENTS + ), + 'TZS': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'UAH': ( + ('гривня', 'гривні', 'гривень'), + ('копійка', 'копійки', 'копійок') + ), + 'UGX': ( + ('шилінг', 'шилінги', 'шилінгів'), + GENERIC_CENTS + ), + 'USD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'UYU': ( + ('песо', 'песо', 'песо'), + ('сентесімо', 'сентесімо', 'сентесімо') + ), + 'UZS': ( + ('сум', 'суми', 'сумів'), + ('тиїн', 'тиїни', 'тиїнів') + ), + 'VND': ( + ('донг', 'донги', 'донгів'), + ('су', 'су', 'су') + ), + 'WST': ( + ('тала', 'тали', 'тал'), + ('сене', 'сене', 'сене') + ), + 'XCD': (GENERIC_DOLLARS, GENERIC_CENTS), + 'YER': ( + ('ріал', 'ріали', 'ріалів'), + ('філс', 'філси', 'філсів') + ), + 'ZAR': ( + ('ранд', 'ранди', 'рандів'), + GENERIC_CENTS + ), + 'ZMW': ( + ('квача', 'квачі', 'квач'), + ('нгве', 'нгве', 'нгве') + ), + } + + def setup(self): + self.negword = "мінус" + self.pointword = "кома" + + def to_cardinal(self, number, **kwargs): + if 'case' in kwargs: + case = kwargs['case'] + morphological_case = [ + "nominative", + "genitive", + "dative", + "accusative", + "instrumental", + "locative"].index(case) + else: + morphological_case = 0 + + if 'gender' in kwargs: + gender = kwargs['gender'] == 'feminine' + else: + gender = False + + n = str(number).replace(',', '.') + if '.' in n: + left, right = n.split('.') + leading_zero_count = len(right) - len(right.lstrip('0')) + right_side = self._int2word(int(right), gender, morphological_case) + decimal_part = ((ZERO[0] + ' ') * leading_zero_count + + right_side) + return u'%s %s %s' % ( + self._int2word(int(left), gender, morphological_case), + self.pointword, + decimal_part + ) + else: + return self._int2word(int(n), gender, morphological_case) + + def pluralize(self, n, forms): + if n % 100 < 10 or n % 100 > 20: + if n % 10 == 1: + form = 0 + elif 5 > n % 10 > 1: + form = 1 + else: + form = 2 + else: + form = 2 + + return forms[form] + + def _int2word(self, n, feminine=False, morphological_case=0): + if n < 0: + n_value = self._int2word(abs(n), feminine, morphological_case) + return ' '.join([self.negword, + n_value]) + + if n == 0: + return ZERO[0] + + words = [] + chunks = list(splitbyx(str(n), 3)) + i = len(chunks) + for x in chunks: + i -= 1 + + if x == 0: + continue + + n1, n2, n3 = get_digits(x) + + if n3 > 0: + words.append(HUNDREDS[n3][morphological_case]) + + if n2 > 1: + words.append(TWENTIES[n2][morphological_case]) + + if n2 == 1: + words.append(TENS[n1][morphological_case]) + # elif n1 > 0 and not (i > 0 and x == 1): + elif n1 > 0: + ones = ONES_FEMININE if i == 1 or feminine and i == 0 else ONES + words.append(ones[n1][morphological_case]) + + if i > 0: + thousands_val = THOUSANDS[i][morphological_case] + words.append(self.pluralize(x, thousands_val)) + + return ' '.join(words) + + def _money_verbose(self, number, currency): + return self._int2word(number, currency in FEMININE_MONEY) + + def _cents_verbose(self, number, currency): + return self._int2word(number, currency in FEMININE_CENTS) + + @staticmethod + def last_fragment_to_ordinal(last, words, level): + n1, n2, n3 = get_digits(last) + last_two = n2*10+n1 + if last_two == 0: + words.append(HUNDREDS_ORDINALS[n3][level]) + elif level == 1 and last == 1: + return + elif last_two < 20: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(ONES_ORDINALS[last_two][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += ONES_ORDINALS[last_two][1] + words.append(last_fragment_string) + elif last_two % 10 == 0: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES_ORDINALS[n2][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += TWENTIES_ORDINALS[n2][1] + words.append(last_fragment_string) + else: + if level == 0: + if n3 > 0: + words.append(HUNDREDS[n3][0]) + words.append(TWENTIES[n2][0]) + words.append(ONES_ORDINALS[n1][0]) + else: + last_fragment_string = '' + if n3 > 0: + last_fragment_string += HUNDREDS_ORDINALS[n3][1] + last_fragment_string += TWENTIES_ORDINALS[n2][1] + last_fragment_string += ONES_ORDINALS[n1][1] + words.append(last_fragment_string) + + def to_ordinal(self, number): + self.verify_ordinal(number) + + words = [] + fragments = list(splitbyx(str(number), 3)) + level = 0 + last = fragments[-1] + while last == 0: + level = level + 1 + fragments.pop() + last = fragments[-1] + if len(fragments) > 1: + pre_part = self._int2word(number - (last * 1000 ** level)) + words.append(pre_part) + Num2Word_UK.last_fragment_to_ordinal( + last, + words, + 0 if level == 0 else 1 + ) + output = " ".join(words) + if last == 1 and level > 0 and output != "": + output = output + " " + if level > 0: + output = output + prefixes_ordinal[level] + return output diff --git a/ext/py/num2words/num2words/lang_VI.py b/ext/py/num2words/num2words/lang_VI.py new file mode 100644 index 0000000..d30fca2 --- /dev/null +++ b/ext/py/num2words/num2words/lang_VI.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import unicode_literals + +to_19 = (u'không', u'một', u'hai', u'ba', u'bốn', u'năm', u'sáu', + u'bảy', u'tám', u'chín', u'mười', u'mười một', u'mười hai', + u'mười ba', u'mười bốn', u'mười lăm', u'mười sáu', u'mười bảy', + u'mười tám', u'mười chín') +tens = (u'hai mươi', u'ba mươi', u'bốn mươi', u'năm mươi', + u'sáu mươi', u'bảy mươi', u'tám mươi', u'chín mươi') +denom = ('', + u'nghìn', u'triệu', u'tỷ', u'nghìn tỷ', u'trăm nghìn tỷ', + 'Quintillion', 'Sextillion', 'Septillion', 'Octillion', 'Nonillion', + 'Decillion', 'Undecillion', 'Duodecillion', 'Tredecillion', + 'Quattuordecillion', 'Sexdecillion', 'Septendecillion', + 'Octodecillion', 'Novemdecillion', 'Vigintillion') + + +class Num2Word_VI(object): + + def _convert_nn(self, val): + if val < 20: + return to_19[val] + for (dcap, dval) in ((k, 20 + (10 * v)) for (v, k) in enumerate(tens)): + if dval + 10 > val: + if val % 10: + a = u'lăm' + if to_19[val % 10] == u'một': + a = u'mốt' + else: + a = to_19[val % 10] + if to_19[val % 10] == u'năm': + a = u'lăm' + return dcap + ' ' + a + return dcap + + def _convert_nnn(self, val): + word = '' + (mod, rem) = (val % 100, val // 100) + if rem > 0: + word = to_19[rem] + u' trăm' + if mod > 0: + word = word + ' ' + if mod > 0 and mod < 10: + if mod == 5: + word = word != '' and word + u'lẻ năm' or word + u'năm' + else: + word = word != '' and word + u'lẻ ' \ + + self._convert_nn(mod) or word + self._convert_nn(mod) + if mod >= 10: + word = word + self._convert_nn(mod) + return word + + def vietnam_number(self, val): + if val < 100: + return self._convert_nn(val) + if val < 1000: + return self._convert_nnn(val) + for (didx, dval) in ((v - 1, 1000 ** v) for v in range(len(denom))): + if dval > val: + mod = 1000 ** didx + lval = val // mod + r = val - (lval * mod) + + ret = self._convert_nnn(lval) + u' ' + denom[didx] + if 99 >= r > 0: + ret = self._convert_nnn(lval) + u' ' + denom[didx] + u' lẻ' + if r > 0: + ret = ret + ' ' + self.vietnam_number(r) + return ret + + def number_to_text(self, number): + number = '%.2f' % number + the_list = str(number).split('.') + start_word = self.vietnam_number(int(the_list[0])) + final_result = start_word + if len(the_list) > 1 and int(the_list[1]) > 0: + end_word = self.vietnam_number(int(the_list[1])) + final_result = final_result + ' phẩy ' + end_word + return final_result + + def to_cardinal(self, number): + return self.number_to_text(number) + + def to_ordinal(self, number): + return self.to_cardinal(number) diff --git a/ext/py/num2words/num2words/lang_ZH.py b/ext/py/num2words/num2words/lang_ZH.py new file mode 100644 index 0000000..fe670a9 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ZH.py @@ -0,0 +1,296 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .base import Num2Word_Base +from .compat import strtype +from .currency import parse_currency_parts + + +class Num2Word_ZH(Num2Word_Base): + CURRENCY_FLOATS = ["角", "分"] + + CURRENCY_FORMS = { + "XXX": "元", # Generic dollar + "CNY": "人民幣", + "NTD": "新台幣", + "HKD": "港幣", + "MOP": "澳門幣", + "SGD": "新加坡元", + "MYR": "馬來西亞令吉", + "USD": "美元", + "EUR": "歐元", + "GBP": "英鎊", + "JPY": "日元", + "CHF": "瑞士法郎", + "CAD": "加元", + "AUD": "澳幣", + "NZD": "紐西蘭元", + "THB": "泰銖", + "KRW": "韓元", + } + + cheque_suffix = "正" + year = "年" + year_prefix = ("公元", "西元") + year_bce = "前" + ord_prefix = "第" + + def set_high_numwords(self, high): + max = 4 * len(high) + for word, n in zip(high, range(max, 0, -4)): + self.cards[10 ** n] = word + + def to_cardinal(self, value, stuff_zero=2, reading=False, prefer=None): + self.stuff_zero = stuff_zero + self.set_str_selection(reading, prefer) + + out = super().to_cardinal(value).replace(" ", "") + return self.zh_to_cap(out, reading == "capital") + + def to_cardinal_float(self, value): + out = super().to_cardinal_float(value).replace(" ", "") + return self.zh_to_cap(out, self.capital) + + def merge(self, lpair, rpair): + ltext, lnum = lpair + rtext, rnum = rpair + ltext, rtext = self.select_text(ltext), self.select_text(rtext) + # ignore lpair if lnum is 1 and rnum is less than 10 + if lnum == 1 and rnum < 10: + return (rtext, rnum) + # stuff_zero logic between discontinous numbers + # http://www.hkame.org.hk/uploaded_files/magazine/15/271.pdf + with_zero = ("%s%s%s" % (ltext, self.select_text( + self.low_numwords[-1]), rtext), lnum + rnum) + no_zero = ("%s%s" % (ltext, rtext), lnum + rnum) + if len(str(lnum)) - len(str(rnum)) > 1: + if self.stuff_zero == 1: # 凡「零」必讀 All discontinous numbers + return with_zero + elif self.stuff_zero == 2: # Discontinous high numbers + if len(str(lnum)) - len(str(rnum) + ) > 1 and len(str(rnum)) % 4 != 0: + return with_zero + return no_zero + elif self.stuff_zero == 3: # 凡「零」不讀 No zeros + return no_zero + elif rnum > lnum: + return ("%s%s" % (ltext, rtext), lnum * rnum) + return no_zero + + def to_ordinal(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + self.verify_ordinal(value) + base = self.to_cardinal(value, reading=reading, prefer=prefer) + return "%s%s%s" % (self.select_text(self.ord_prefix), + base, self.select_text(counter)) + + def to_ordinal_num(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + return "%s%s%s" % (self.select_text(self.ord_prefix), + value, self.select_text(counter)) + + def to_year(self, value, reading=False, prefer=None): + self.set_str_selection(reading, prefer) + + if not value == int(value): + raise TypeError(self.errmsg_floatyear % value) + + out = [] + if value < 0: + out += [self.year_prefix, self.year_bce] + elif reading == "capital": + out += [self.year_prefix] + + out += [self.cards[int(s)] for s in str(abs(int(value)))] + out += [self.year] + + return "".join(self.select_text(s) for s in out) + + def to_currency(self, val, currency='XXX', cents=False, separator="", + adjective=False, reading=False, prefer=None): + """ + Args: + val: Numeric value + currency (str): Currency code + # cents (bool): Verbose cents + # separator (str): Cent separator + # adjective (bool): Prefix currency name with adjective + capital (bool): Select the capital form of a Chinese numeral + Returns: + str: Formatted string + + Handles whole numbers and decimal numbers differently + """ + self.set_str_selection(reading, prefer) + left, right, is_negative = parse_currency_parts( + val, is_int_with_cents=False) + + try: + cr = self.CURRENCY_FORMS[currency] + # Not Applicable: ValueError + # CURRENCY_FLOATS are the generic terms for demicals + except KeyError: + raise NotImplementedError( + 'Currency code "%s" not implemented for "%s"' % + (currency, self.__class__.__name__)) + + # CURRENCY_ADJECTIVES are not implemented + minus_str = self.negword if is_negative else "" + money_str = self.to_cardinal(left, reading=reading, prefer=prefer) + # has_decimal is not implemented + + if currency == "XXX": + cr_pre, cr_post = ("", cr) + else: + cr_pre, cr_post = (cr, self.CURRENCY_FORMS["XXX"]) + cents_str = self.to_currency_float( + right, reading=reading, prefer=prefer) + # Only add "整" in capital format + cheque = self.cheque_suffix if len( + cents_str) == 0 and reading == "capital" else "" + + for c in [minus_str, money_str, cr_post, *cents_str, cheque]: + cr_pre += self.zh_to_cap(self.select_text(c), reading == "capital") + return cr_pre + + def to_currency_float(self, value, reading=False, prefer=None): + cents = "%02d" % value + out = [] + + if int(cents) > 0: + if not (int(cents[0]) == 0 and reading == "capital"): + out += [self.cards[int(cents[0])]] + if int(cents[0]) > 0: + out += [self.CURRENCY_FLOATS[0]] + if int(cents[1]) > 0: + out += [self.cards[int(cents[1])], self.CURRENCY_FLOATS[1]] + + return out + + def zh_to_cap(self, value, capital): + """ + Select the capital form of a Chinese numeral + """ + out = value + one, ten = self.select_text( + self.cards[1]), self.select_text( + self.cards[10]) + if capital: + for cap_w in self.CAP_map: + if cap_w[0] in out: + out = out.replace(cap_w[0], cap_w[1]) + return out + elif out.startswith(one + ten): + out = out[len(one):] + return out + + def setup(self): + self.precision = 2 + self.negword = "負" + self.pointword = "點" + self.exclude_title = [self.negword, self.pointword] + self.errmsg_floatyear = "Cannot treat float %s as year." + + self.reading = None + self.prefer = None + + self.high_numwords = [ + "萬", # 10 ** 4 + "億", # 10 ** 8 + "兆", # 10 ** 12 + "京", # 10 ** 16 + "垓", # 10 ** 20 + "秭", # 10 ** 24 + "穣", # 10 ** 28 + "溝", # 10 ** 32 + "澗", # 10 ** 36 + "正", # 10 ** 40 + "載", # 10 ** 44 + "極", # 10 ** 48 + "恆河沙", # 10 ** 52 + "阿僧祇", # 10 ** 56 + "那由他", # 10 ** 60 + "不可思議", # 10 ** 64 + "無量", # 10 ** 68 + "不可說", # 10 ** 72 + ] + self.high_numwords.reverse() + + self.mid_numwords = [ + (1000, '千'), + (100, '百'), + (10, '十') + ] + self.low_numwords = [ + "九", + "八", + "七", + "六", + "五", + "四", + "三", + "二", + "一", + ("零", "〇") + ] + + CAP_map = [ + ("千", "仟"), + ("百", "佰"), + ("十", "拾"), + ("九", "玖"), + ("八", "捌"), + ("七", "柒"), + ("六", "陸"), + ("五", "伍"), + ("四", "肆"), + ("三", "叁"), + ("二", "貳"), + ("一", "壹"), + ("元", "圓"), + ("正", "整"), + ] + + def select_text(self, text): + """Select the correct text from the Chinese, phonetic symbol (注音) or + alternatives ('ㄧ' or '壹')""" + if isinstance(text, strtype): + return text + if len(text) == 0: + return '' + # Check if reading is provided + if all(isinstance(item, tuple) for item in text): + if self.reading is True: + text = text[1] + else: + text = text[0] + + # select the preferred one or the first one from multiple alternatives + if not isinstance(text, strtype): + common = set(text) & set(self.prefer or set()) + if len(common) == 1: + text = common.pop() + else: + text = text[0] + return text + + def set_str_selection(self, reading, prefer): + self.reading = reading + self.prefer = prefer + self.capital = reading == "capital" diff --git a/ext/py/num2words/num2words/lang_ZH_CN.py b/ext/py/num2words/num2words/lang_ZH_CN.py new file mode 100644 index 0000000..e608a8e --- /dev/null +++ b/ext/py/num2words/num2words/lang_ZH_CN.py @@ -0,0 +1,85 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_CN(Num2Word_ZH): + CURRENCY_FORMS = { + "XXX": "元", # Generic dollar + "CNY": "人民币", + "NTD": "新台币", + "HKD": "港币", + "MOP": "澳门币", + "SGD": "新加坡元", + "MYR": "马来西亚令吉", + "USD": "美元", + "EUR": "欧元", + "GBP": "英镑", + "JPY": "日元", + "CHF": "瑞士法郎", + "CAD": "加元", + "AUD": "澳币", + "NZD": "纽西兰元", + "THB": "泰铢", + "KRW": "韩元", + } + + def setup(self): + super().setup() + self.negword = "负" + self.pointword = "点" + self.exclude_title = [self.negword, self.pointword] + self.high_numwords = [ + "万", # 10 ** 4 + "亿", # 10 ** 8 + "兆", # 10 ** 12 + "京", # 10 ** 16 + "垓", # 10 ** 20 + "秭", # 10 ** 24 + "穣", # 10 ** 28 + "沟", # 10 ** 32 + "涧", # 10 ** 36 + "正", # 10 ** 40 + "载", # 10 ** 44 + "极", # 10 ** 48 + "恒河沙", # 10 ** 52 + "阿僧祇", # 10 ** 56 + "那由他", # 10 ** 60 + "不可思议", # 10 ** 64 + "无量", # 10 ** 68 + "不可说", # 10 ** 72 + ] + self.high_numwords.reverse() + + CAP_map = [ + ("千", "仟"), + ("百", "佰"), + ("十", "拾"), + ("九", "玖"), + ("八", "捌"), + ("七", "柒"), + ("六", "陆"), + ("五", "伍"), + ("四", "肆"), + ("三", "叁"), + ("二", "贰"), + ("一", "壹"), + ("元", "圆"), + ] diff --git a/ext/py/num2words/num2words/lang_ZH_HK.py b/ext/py/num2words/num2words/lang_ZH_HK.py new file mode 100644 index 0000000..95e29c2 --- /dev/null +++ b/ext/py/num2words/num2words/lang_ZH_HK.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_HK(Num2Word_ZH): + CURRENCY_FLOATS_CHILD = ["毫", "仙"] + + CURRENCY_FORMS_CHILD = { + "EUR": "歐羅", + "JPY": "日圓", + "CAD": "加元", + "AUD": "澳元", + "KRW": "韓圜", + } + + CAP_map_CHILD = [ + ("毫", "角"), + ("仙", "分"), + ] + + def __init__(self): + super().__init__() + self.CURRENCY_FLOATS = self.CURRENCY_FLOATS_CHILD.copy() + self.CURRENCY_FORMS = self.CURRENCY_FORMS.copy() + self.CAP_map = self.CAP_map.copy() + + for k, v in self.CURRENCY_FORMS_CHILD.items(): + self.CURRENCY_FORMS[k] = v + for item in self.CAP_map_CHILD: + self.CAP_map.append(item) diff --git a/ext/py/num2words/num2words/lang_ZH_TW.py b/ext/py/num2words/num2words/lang_ZH_TW.py new file mode 100644 index 0000000..acd985b --- /dev/null +++ b/ext/py/num2words/num2words/lang_ZH_TW.py @@ -0,0 +1,198 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +from __future__ import division, print_function, unicode_literals + +from .compat import to_s +from .lang_ZH import Num2Word_ZH + + +class Num2Word_ZH_TW(Num2Word_ZH): + CURRENCY_FORMS_CHILD = { + "XXX": (("元",), ("ㄩㄢˊ",)), # Generic dollar + } + + cheque_suffix = (("正",), ("ㄓㄥˋ",)) + year = (("年",), ("ㄋㄧㄢˊ",)) + year_prefix = (("公元", "西元"), ("ㄍㄨㄥ ㄩㄢˊ", "ㄒㄧㄩㄢˊ")) + year_bce = (("前",), ("ㄑㄧㄢˊ",)) + ord_prefix = (("第",), ("ㄉㄧˋ",)) + ROC_era = (("民國",), ("ㄇㄧㄣˊㄍㄨㄛˊ",)) + + def __init__(self): + super().__init__() + self.CURRENCY_FORMS = self.CURRENCY_FORMS.copy() + + for k, v in self.CURRENCY_FORMS_CHILD.items(): + self.CURRENCY_FORMS[k] = v + + # Get reading for negword + def to_cardinal(self, value, stuff_zero=2, reading=False, prefer=None): + self.stuff_zero = stuff_zero + self.set_str_selection(reading, prefer) + + try: + assert int(value) == value + except (ValueError, TypeError, AssertionError): + return self.to_cardinal_float(value, reading, prefer) + + out = "" + if value < 0: + value = abs(value) + out = "%s " % self.select_text(self.negword).strip() + + if value >= self.MAXVAL: + raise OverflowError(self.errmsg_toobig % (value, self.MAXVAL)) + + val = self.splitnum(value) + words, num = self.clean(val) + out = self.title(out + words) + + out = self.zh_to_cap(out, reading == "capital") + return out.replace(" ", "") + + # Get reading for pointword + def to_cardinal_float(self, value, reading=False, prefer=None): + try: + float(value) == value + except (ValueError, TypeError, AssertionError, AttributeError): + raise TypeError(self.errmsg_nonnum % value) + + pre, post = self.float2tuple(float(value)) + + post = str(post) + post = '0' * (self.precision - len(post)) + post + + out = [self.to_cardinal(pre, reading=reading, prefer=prefer)] + if value < 0 and pre == 0: + out = [self.select_text(self.negword).strip()] + out + + if self.precision: + out.append(self.select_text(self.title(self.pointword))) + + for i in range(self.precision): + curr = int(post[i]) + out.append( + to_s( + self.to_cardinal( + curr, + reading=reading, + prefer=prefer))) + + out = self.zh_to_cap(" ".join(out), self.capital) + return out.replace(" ", "") + + def to_ordinal(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if reading is True: + if counter not in self.counters and counter: + raise NotImplementedError( + f"Reading not implemented for {counter}") + counter = self.counters.get(counter, "") + return super().to_ordinal( + value, counter=counter, reading=reading, prefer=prefer) + + def to_ordinal_num(self, value, counter="", reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if self.reading is True: + if counter not in self.counters and counter: + raise NotImplementedError( + f"Reading not implemented for {counter}") + counter = self.counters.get(counter, "") + return super().to_ordinal_num( + value, counter=counter, reading=reading, prefer=prefer) + + def to_year(self, value, era=False, reading=False, prefer=None): + self.set_str_selection(reading, prefer) + if not era: + return super().to_year(value, reading=reading, prefer=prefer) + + if not value == int(value): + raise TypeError(self.errmsg_floatyear % value) + + min_year = 1912 + if value < min_year: + raise ValueError( + "Can't convert years less than %s to ROC era" % + min_year) + era_year = abs(int(value - min_year + 1)) + + if reading == "arabic": + era_year_words = era_year + elif era_year == 1: + era_year_words = self.select_text((("元",), ("ㄩㄢˊ",))) + elif era_year < 101: + era_year_words = self.to_cardinal(era_year) + else: + era_year_words = "".join( + [self.select_text(self.cards[int(s)]) for s in str(era_year)]) + + return "%s%s%s" % (self.select_text(self.ROC_era), + era_year_words, self.select_text(self.year)) + + def setup(self): + super().setup() + self.negword = (("負",), ("ㄈㄨˋ",)) + self.pointword = (("點",), ("ㄉㄧㄢˇ",)) + self.exclude_title = [self.negword, self.pointword] + + self.high_numwords = [ + (("萬",), ("ㄨㄢˋ",)), # 10**4 + (("億",), ("ㄧˋ",)), # 10**8 + (("兆",), ("ㄓㄠˋ",)), # 10**12 + (("京",), ("ㄐㄧㄥ",)), # 10**16 + (("垓",), ("ㄍㄞ",)), # 10**20 + (("秭",), ("ㄗˇ",)), # 10**24 + (("穣",), ("ㄖㄤ",)), # 10**28 + (("溝",), ("ㄍㄡ",)), # 10**32 + (("澗",), ("ㄐㄧㄢˋ",)), # 10**36 + (("正",), ("ㄓㄥˋ",)), # 10**40 + (("載",), ("ㄗㄞˇ",)), # 10**44 + (("極",), ("ㄐㄧˊ",)), # 10**48 + (("恆河沙",), ("ㄏㄥˊㄏㄜˊㄕㄚ",)), # 10**52 + (("阿僧祇",), ("ㄚㄙㄥㄑㄧˊ",)), # 10**56 + (("那由他",), ("ㄋㄚˋㄧㄡˊㄊㄚ",)), # 10**60 + (("不可思議",), ("ㄅㄨˋㄎㄜˇㄙㄧˋ",)), # 10**64 + (("無量",), ("ㄨˊㄌㄧㄤˋ",)), # 10**68 + (("不可說",), ("ㄅㄨˋㄎㄜˇㄕㄨㄛ",)) # 10**72 + ] + self.high_numwords.reverse() + + self.counters = { + "個": "˙ㄍㄜ", + "名": "ㄇㄧㄥˊ", + "位": "ㄨㄟˋ" + } + + self.mid_numwords = [ + (1000, (("千",), ("ㄑㄧㄢ",))), + (100, (("百",), ("ㄅㄞˇ",))), + ] + + self.low_numwords = [ + (("十", "拾"), ("ㄕˊ",)), # 10 + (("九", "玖"), ("ㄐㄧㄡˇ",)), # 9 + (("八", "捌"), ("ㄅㄚ",)), # 8 + (("七", "柒"), ("ㄑㄧ",)), # 7 + (("六", "陸"), ("ㄌㄧㄡˋ",)), # 6 + (("五", "伍"), ("ㄨˇ",)), # 5 + (("四", "肆"), ("ㄙˋ",)), # 4 + (("三", "參"), ("ㄙㄢ",)), # 3 + (("二", "貳"), ("ㄦˋ",)), # 2 + (("一", "壹"), ("ㄧ",)), # 1 + (("零", "〇"), ("ㄌㄧㄥˊ",)), # 0 + ] diff --git a/ext/py/num2words/num2words/utils.py b/ext/py/num2words/num2words/utils.py new file mode 100644 index 0000000..b5e4611 --- /dev/null +++ b/ext/py/num2words/num2words/utils.py @@ -0,0 +1,35 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + + +def splitbyx(n, x, format_int=True): + length = len(n) + if length > x: + start = length % x + if start > 0: + result = n[:start] + yield int(result) if format_int else result + for i in range(start, length, x): + result = n[i:i+x] + yield int(result) if format_int else result + else: + yield int(n) if format_int else n + + +def get_digits(n): + a = [int(x) for x in reversed(list(('%03d' % n)[-3:]))] + return a diff --git a/ext/py/num2words/repo.txt b/ext/py/num2words/repo.txt new file mode 100644 index 0000000..b54a97f --- /dev/null +++ b/ext/py/num2words/repo.txt @@ -0,0 +1 @@ +https://github.com/savoirfairelinux/num2words.git \ No newline at end of file diff --git a/ext/py/num2words/requirements-test.txt b/ext/py/num2words/requirements-test.txt new file mode 100644 index 0000000..3d9b3a2 --- /dev/null +++ b/ext/py/num2words/requirements-test.txt @@ -0,0 +1,7 @@ +tox +flake8 +flake8-copyright +isort +pep8<1.6 +coverage +delegator.py diff --git a/ext/py/num2words/setup.py b/ext/py/num2words/setup.py new file mode 100644 index 0000000..df9c30b --- /dev/null +++ b/ext/py/num2words/setup.py @@ -0,0 +1,84 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2003, Taro Ogawa. All Rights Reserved. +# Copyright (c) 2013, Savoir-faire Linux inc. All Rights Reserved. + +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, +# MA 02110-1301 USA + +import re +from io import open + +from setuptools import find_packages, setup + +PACKAGE_NAME = "num2words" + +CLASSIFIERS = [ + 'Development Status :: 5 - Production/Stable', + 'Intended Audience :: Developers', + 'License :: OSI Approved :: GNU Library or Lesser General Public License ' + '(LGPL)', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Programming Language :: Python :: 3.11', + 'Programming Language :: Python :: 3.12', + 'Programming Language :: Python :: 3.13', + 'Topic :: Software Development :: Internationalization', + 'Topic :: Software Development :: Libraries :: Python Modules', + 'Topic :: Software Development :: Localization', + 'Topic :: Text Processing :: Linguistic', +] + +LONG_DESC = open('README.rst', 'rt', encoding="utf-8").read() + '\n\n' + \ + open('CHANGES.rst', 'rt', encoding="utf-8").read() + + +def find_version(fname): + """Parse file & return version number matching 0.0.1 regex + Returns str or raises RuntimeError + """ + version = '' + with open(fname, 'r', encoding="utf-8") as fp: + reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]') + for line in fp: + m = reg.match(line) + if m: + version = m.group(1) + break + if not version: + raise RuntimeError('Cannot find version information') + return version + + +setup( + name=PACKAGE_NAME, + version=find_version("bin/num2words"), + description='Modules to convert numbers to words. Easily extensible.', + long_description=LONG_DESC, + long_description_content_type="text/markdown", + license='LGPL', + author='Taro Ogawa ', + author_email='tos@users.sourceforge.net', + maintainer='Savoir-faire Linux inc.', + maintainer_email='support@savoirfairelinux.com', + keywords=' number word numbers words convert conversion i18n ' + 'localisation localization internationalisation ' + 'internationalization', + url='https://github.com/savoirfairelinux/num2words', + packages=find_packages(exclude=['tests']), + test_suite='tests', + classifiers=CLASSIFIERS, + scripts=['bin/num2words'], + install_requires=["docopt>=0.6.2"], + tests_require=['delegator.py'], +) diff --git a/ext/py/num2words/tox.ini b/ext/py/num2words/tox.ini new file mode 100644 index 0000000..b896391 --- /dev/null +++ b/ext/py/num2words/tox.ini @@ -0,0 +1,38 @@ +[tox] +envlist = py38,py39,py310,py311,py312,py313,flake8,isort + +[gh-actions] +python = + 3.8: py38 + 3.9: py39 + 3.10: isort, flake8, py310 + 3.11: py311 + 3.12: py312 + 3.13: py313 + + +[testenv] +passenv = GITHUB_* +deps = + coverage + delegator.py +commands = + coverage run -m unittest discover + coverage report --fail-under=75 --omit=.tox/*,tests/*,/usr/* + coverage report --fail-under=100 --include=tests/* --skip-covered + +[testenv:flake8] +changedir = {toxinidir} +deps = + flake8==5.0.4 + flake8-copyright +commands = + flake8 + +[testenv:isort] +changedir = {toxinidir} +deps = + isort + delegator.py +commands = + isort --check-only --float-to-top --diff num2words tests diff --git a/ext/py/num2words/version.txt b/ext/py/num2words/version.txt new file mode 100644 index 0000000..63df075 --- /dev/null +++ b/ext/py/num2words/version.txt @@ -0,0 +1 @@ +0.5.14 \ No newline at end of file diff --git a/favicon.ico b/favicon.ico new file mode 100644 index 0000000..7c70cb8 Binary files /dev/null and b/favicon.ico differ diff --git a/finetune_piper_deathpuss.sh b/finetune_piper_deathpuss.sh new file mode 100755 index 0000000..ed0f0b7 --- /dev/null +++ b/finetune_piper_deathpuss.sh @@ -0,0 +1,143 @@ +#!/usr/bin/env bash + +# Exit on error, undefined variables, or pipe failures +set -euo pipefail + +# Define script path variables +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" >/dev/null 2>&1 && pwd -P)" +INPUT_TXT="/home/drew/Downloads/ljspeech_prompts.txt" +OUTPUT_DIR="$SCRIPT_DIR/audiobooks/synthetic_deathpuss" +FINETUNE_DIR="$SCRIPT_DIR/tools/Universal_TTS_Finetune" +TRAINING_OUT="$SCRIPT_DIR/training_out_piper" + +echo "=====================================================================" +echo " Piper TTS English Model Fine-Tuning Workflow (DeathPussInBoots)" +echo "=====================================================================" +echo "" + +# 1. Validate prompt file exists +if [ ! -f "$INPUT_TXT" ]; then + echo "Error: Prompts file not found at $INPUT_TXT" + exit 1 +fi + +# 2. Generate synthetic audio with ebook2audiobook +echo "[STEP 1/4] Generating synthetic audio with ebook2audiobook..." +echo "---------------------------------------------------------------------" +echo "Input text prompts: $INPUT_TXT" +echo "TTS engine: XTTS" +echo "Fine-tuned voice: DeathPussInBoots" +echo "Output format: MP3" +echo "Device: CUDA" +echo "---------------------------------------------------------------------" + +MP3_FILE="$OUTPUT_DIR/ljspeech_prompts.mp3" +VTT_FILE="$OUTPUT_DIR/ljspeech_prompts.vtt" + +if [ -f "$MP3_FILE" ] && [ -f "$VTT_FILE" ]; then + echo "Found existing synthetic audio and alignment files at $OUTPUT_DIR. Skipping generation step." +else + # Run ebook2audiobook in headless mode + # This outputs ljspeech_prompts.mp3 and ljspeech_prompts.vtt to $OUTPUT_DIR + "$SCRIPT_DIR/ebook2audiobook.sh" \ + --headless \ + --ebook "$INPUT_TXT" \ + --tts_engine xtts \ + --fine_tuned DeathPussInBoots \ + --language eng \ + --device CUDA \ + --output_format mp3 \ + --output_dir "$OUTPUT_DIR" +fi + +if [ ! -f "$MP3_FILE" ] || [ ! -f "$VTT_FILE" ]; then + echo "Error: ebook2audiobook generation failed. Files not found:" + echo " Expected MP3: $MP3_FILE" + echo " Expected VTT: $VTT_FILE" + exit 1 +fi + +echo "" +echo "Synthetic audio generated successfully!" +echo " Audio: $MP3_FILE" +echo " Alignment: $VTT_FILE" +echo "" + +# 3. Slice audio and prepare training dataset +echo "[STEP 2/4] Preparing dataset using alignment timestamps..." +echo "---------------------------------------------------------------------" +echo "This step parses the VTT timestamps and slices the audiobook into" +echo "individual training clips automatically with 0% transcription errors." +echo "---------------------------------------------------------------------" + +mkdir -p "$TRAINING_OUT" + +"$FINETUNE_DIR/finetune.sh" prepare-dataset \ + --output-root "$TRAINING_OUT" \ + --audio-file "$MP3_FILE" \ + --transcript-file "$VTT_FILE" \ + --language en + +DATASET_CSV="$TRAINING_OUT/dataset/LJSpeech-1.1/metadata.csv" +if [ ! -f "$DATASET_CSV" ]; then + echo "Error: Dataset preparation failed. $DATASET_CSV not found." + exit 1 +fi + +# 4. Calculate optimal training epochs +echo "" +echo "[STEP 3/4] Calculating optimal epochs for training..." +echo "---------------------------------------------------------------------" + +SAMPLE_COUNT=$(wc -l < "$DATASET_CSV") +BATCH_SIZE=8 +STEPS_PER_EPOCH=$(( SAMPLE_COUNT / BATCH_SIZE )) + +if [ "$STEPS_PER_EPOCH" -lt 1 ]; then + STEPS_PER_EPOCH=1 +fi + +# Target 100,000 steps for highest-quality audiobook-tuned models +TARGET_STEPS=100000 +CALCULATED_EPOCHS=$(( TARGET_STEPS / STEPS_PER_EPOCH )) + +# Ensure a minimum number of epochs to allow periodic samples +if [ "$CALCULATED_EPOCHS" -lt 20 ]; then + CALCULATED_EPOCHS=20 +fi + +echo "Dataset analysis:" +echo " Total clips: $SAMPLE_COUNT" +echo " Batch size: $BATCH_SIZE" +echo " Steps per epoch: $STEPS_PER_EPOCH" +echo " Target training steps: $TARGET_STEPS" +echo " Optimal calculated epochs: $CALCULATED_EPOCHS" +echo "---------------------------------------------------------------------" +echo "" + +# 5. Start Piper fine-tuning +echo "[STEP 4/4] Launching Piper TTS fine-tuning..." +echo "---------------------------------------------------------------------" +echo "Training logs will stream below." +echo "Every 10 epochs, a voice sample will be generated and saved under:" +echo " $TRAINING_OUT/training_runs/piper//epoch_samples/" +echo "" +echo "Press Ctrl+C to stop training early if you are satisfied with the sample quality." +echo "If training is stopped early, package it manually by running:" +echo " python $FINETUNE_DIR/export_checkpoint.py $TRAINING_OUT/training_runs/piper/" +echo "---------------------------------------------------------------------" + +"$FINETUNE_DIR/finetune.sh" train \ + --model piper \ + --output-root "$TRAINING_OUT" \ + --dataset-dir "$TRAINING_OUT/dataset/LJSpeech-1.1" \ + --language en \ + --epochs "$CALCULATED_EPOCHS" \ + --batch-size "$BATCH_SIZE" \ + --sample-epoch-interval 10 \ + --sample-text "This is a periodic audio validation sample of the Piper Text to Speech model trained on the Death Puss in Boots voice." + +echo "" +echo "=====================================================================" +echo "Workflow completed successfully!" +echo "=====================================================================" diff --git a/lib/__init__.py b/lib/__init__.py new file mode 100644 index 0000000..f552ea3 --- /dev/null +++ b/lib/__init__.py @@ -0,0 +1,57 @@ +from .conf import ( + DEVICE_SYSTEM, FULL_DOCKER, NATIVE, BUILD_DOCKER, workflow_id, fernet_key, fernet_data, audiobooks_cli_dir, audiobooks_gradio_dir, + audiobooks_host_dir, debug_mode, default_audio_proc_samplerate, max_upload_size, + default_audio_proc_format, default_device, default_gpu_wiki, + default_output_format, default_output_channel, systems, archs, cli_options, devices, device_info_json, device_info_dict, ebook_formats, + ebooks_dir, interface_component_options, interface_concurrency_limit, + interface_host, interface_port, interface_shared_tmp_expire, + max_python_version, min_python_version, models_dir, os, + output_formats, prog_version, python_env_dir, + requirements_file, components_dir, root_dir, tmp_dir, run_dir, gradio_cache_dir, tmp_expire, max_ebook_textarea_length, + tts_dir, voice_formats, voices_dir, default_output_split, default_output_split_hours +) + +from .conf_lang import ( + abbreviations_mapping, chapter_word_mapping, default_language_code, + roman_numbers_tuples, emojis_list, install_info, session_info, ipa_mapping, language_mapping, + language_math_phonemes, language_clock, os, punctuation_list, + punctuation_list_set, punctuation_split_hard, punctuation_split_hard_set, + punctuation_split_soft, punctuation_split_soft_set, punctuation_switch, + specialchars_mapping, chars_remove, year_to_decades_languages, +) + +from .conf_models import ( + TTS_ENGINES, TTS_VOICE_CONVERSION, TTS_SML, SML_TAG_PATTERN, IPA_REMAINING_PATTERN, sml_escape_tag, default_fine_tuned, default_tts_engine, + default_engine_settings, default_vc_model, default_voice_detection_model, tts_engines_from_coqui, tts_engines_with_inner_speaker, tts_engines_with_custom_model, + loaded_tts, xtts_builtin_speakers_list, + max_custom_model, max_custom_voices, voices_dir +) + +__all__ = [ + + # from conf + "DEVICE_SYSTEM", "FULL_DOCKER", "NATIVE", "BUILD_DOCKER", "workflow_id", "fernet_key", "fernet_data", "audiobooks_cli_dir", "audiobooks_gradio_dir", + "audiobooks_host_dir", "debug_mode", "default_audio_proc_samplerate", "max_upload_size", + "default_audio_proc_format", "default_device", "default_gpu_wiki", + "default_output_format", "default_output_channel", "systems", "archs", "cli_options", "devices", "device_info_json", "device_info_dict", "ebook_formats", + "ebooks_dir", "interface_component_options", "interface_concurrency_limit", + "interface_host", "interface_port", "interface_shared_tmp_expire", + "max_python_version", "min_python_version", "models_dir", "os", + "output_formats", "prog_version", "python_env_dir", + "requirements_file", "components_dir", "root_dir", "tmp_dir", "run_dir", "gradio_cache_dir", "tmp_expire", "max_ebook_textarea_length", + "tts_dir", "voice_formats", "voices_dir", "default_output_split", "default_output_split_hours", + + # from conf_lang + "abbreviations_mapping", "chapter_word_mapping", "default_language_code", + "roman_numbers_tuples", "emojis_list", "install_info", "session_info", "ipa_mapping", "language_mapping", + "language_math_phonemes", "language_clock", "os", "punctuation_list", + "punctuation_list_set", "punctuation_split_hard", "punctuation_split_hard_set", + "punctuation_split_soft", "punctuation_split_soft_set", "punctuation_switch", + "specialchars_mapping", "chars_remove", "year_to_decades_languages", + + # from conf_models + "TTS_ENGINES", "TTS_VOICE_CONVERSION", "TTS_SML", "SML_TAG_PATTERN", "IPA_REMAINING_PATTERN", "sml_escape_tag", "default_fine_tuned", "default_tts_engine", + "default_engine_settings", "default_vc_model", "default_voice_detection_model", "tts_engines_from_coqui", "tts_engines_with_inner_speaker", "tts_engines_with_custom_model", + "loaded_tts", "xtts_builtin_speakers_list", "max_custom_model", + "max_custom_voices", "voices_dir" +] diff --git a/lib/classes/argos_translator.py b/lib/classes/argos_translator.py new file mode 100644 index 0000000..2734c6c --- /dev/null +++ b/lib/classes/argos_translator.py @@ -0,0 +1,279 @@ +import os, time, threading, stanza, regex as re +import argostranslate.package, argostranslate.translate + +from iso639 import Lang +from lib.conf_lang import language_mapping + +# NOTE: argostranslate API requires iso639-1 (2 letters) codes. +# All public methods here accept/return iso639-3 except where explicitly named *_iso1. + + +class ArgosTranslator: + + _index_lock = threading.Lock() + _index_updated:bool = False + + _pair_locks:dict[str, threading.Lock] = {} + _pair_locks_guard = threading.Lock() + + def __init__(self, neural_machine:str='argostranslate')->None: + self.neural_machine = neural_machine + self.translation = None + self.source_lang_iso1 = None + self.target_lang_iso1 = None + + @classmethod + def ensure_index(cls)->None: + with cls._index_lock: + if not cls._index_updated: + argostranslate.package.update_package_index() + cls._index_updated = True + + @classmethod + def get_pair_lock(cls, source_iso1:str, target_iso1:str)->threading.Lock: + key = f'{source_iso1}->{target_iso1}' + with cls._pair_locks_guard: + lock = cls._pair_locks.get(key) + if lock is None: + lock = threading.Lock() + cls._pair_locks[key] = lock + return lock + + @staticmethod + def get_language_iso3(lang_iso1:str)->str: + try: + ld = Lang(lang_iso1) + if ld: + return ld.pt3 + except Exception: + pass + return lang_iso1 + + @staticmethod + def get_language_iso1(lang_iso3:str)->str|None: + try: + ld = Lang(lang_iso3) + if ld: + return ld.pt1 or None + except Exception: + pass + return None + + @staticmethod + def is_pair_installed(from_iso1:str, to_iso1:str)->bool: + try: + for pkg in argostranslate.package.get_installed_packages(): + if pkg.from_code == from_iso1 and pkg.to_code == to_iso1: + return True + return False + except Exception: + return False + + def get_all_sources_iso1(self)->list[str]: + self.ensure_index() + pkgs = argostranslate.package.get_available_packages() + return sorted(set(p.from_code for p in pkgs)) + + def get_target_options(self, source_iso3:str)->list[tuple[str, str]]: + source_iso1 = self.get_language_iso1(source_iso3) + if not source_iso1: + return [] + self.ensure_index() + pkgs = argostranslate.package.get_available_packages() + # Direct targets + direct = {p.to_code for p in pkgs if p.from_code == source_iso1} + reachable = set(direct) + # English-pivot: if source->en exists, add all en->* targets + if source_iso1 != 'en' and 'en' in direct: + en_targets = {p.to_code for p in pkgs if p.from_code == 'en'} + reachable |= en_targets + reachable.discard(source_iso1) + options:list[tuple[str, str]] = [] + for iso1 in reachable: + iso3 = self.get_language_iso3(iso1) + if iso3 == source_iso3 or iso3 not in language_mapping: + continue + details = language_mapping[iso3] + label = ( + f"{details['name']} - {details['native_name']}" + if details['name'] != details['native_name'] + else details['name'] + ) + options.append((label, iso3)) + options.sort(key=lambda o: o[0]) + return options + + def build_translation(self, source_iso1:str, target_iso1:str, timeout:float = 60.0)->object|None: + started = time.monotonic() + while True: + try: + installed = argostranslate.translate.get_installed_languages() + # Map codes to language objects + src_lang = next((l for l in installed if l.code == source_iso1), None) + tgt_lang = next((l for l in installed if l.code == target_iso1), None) + en_lang = next((l for l in installed if l.code == 'en'), None) + if src_lang is None or tgt_lang is None: + pass + elif src_lang is not None and tgt_lang is not None: + # 1. Try direct translation + translation = src_lang.get_translation(tgt_lang) + if translation is not None: + return translation + # 2. Try English Pivot Manually + # If direct fails but we have English, check if pivot path exists + if en_lang is not None and source_iso1 != 'en' and target_iso1 != 'en': + trans_src_en = src_lang.get_translation(en_lang) + trans_en_tgt = en_lang.get_translation(tgt_lang) + if trans_src_en is not None and trans_en_tgt is not None: + # Create a custom pivot translator object + class PivotTranslation: + def __init__(self, t1, t2): + self.t1 = t1 + self.t2 = t2 + def translate(self, text): + return self.t2.translate(self.t1.translate(text)) + return PivotTranslation(trans_src_en, trans_en_tgt) + except Exception as e: + error = f'build_translation() retry error: {e}' + print(error) + elapsed = time.monotonic() - started + if elapsed >= timeout: + break + time.sleep(1.0) + return None + + def download_and_install(self, source_iso1:str, target_iso1:str)->tuple[str|None, bool]: + try: + pair_lock = self.get_pair_lock(source_iso1, target_iso1) + with pair_lock: + self.ensure_index() + available = argostranslate.package.get_available_packages() + # Check direct package + direct_pkg = next( + ( + p + for p in available + if p.from_code == source_iso1 and p.to_code == target_iso1 + ), + None, + ) + if direct_pkg is not None: + if not self.is_pair_installed(source_iso1, target_iso1): + print(f'Downloading argos package {source_iso1} -> {target_iso1}') + download_path = direct_pkg.download() + argostranslate.package.install_from_path(download_path) + msg = f'Installed argos package {source_iso1} -> {target_iso1}' + print(msg) + return None, True + # English-pivot fallback + if source_iso1 != 'en' and target_iso1 != 'en': + src_to_en = next( + ( + p + for p in available + if p.from_code == source_iso1 and p.to_code == 'en' + ), + None, + ) + en_to_tgt = next( + ( + p + for p in available + if p.from_code == 'en' and p.to_code == target_iso1 + ), + None, + ) + if src_to_en is not None and en_to_tgt is not None: + print(f'No direct {source_iso1}->{target_iso1}; using English pivot.') + if not self.is_pair_installed(source_iso1, 'en'): + msg = f'Downloading argos package {source_iso1} -> en' + print(msg) + download_path = src_to_en.download() + argostranslate.package.install_from_path(download_path) + msg = f'Installed argos package {source_iso1} -> en' + print(msg) + if not self.is_pair_installed('en', target_iso1): + msg = f'Downloading argos package en -> {target_iso1}' + print(msg) + download_path = en_to_tgt.download() + argostranslate.package.install_from_path(download_path) + msg = f'Installed argos package en -> {target_iso1}' + print(msg) + msg = f'English pivot ready: {source_iso1} -> en -> {target_iso1}' + print(msg) + return None, True + + error = ( + f'No argos package available for {source_iso1} -> {target_iso1} ' + f'(direct or English-pivoted)' + ) + return error, False + except Exception as e: + error = f'ArgosTranslator.download_and_install() error: {e}' + return error, False + + def start(self, source_iso1:str, target_iso1:str)->tuple[str|None, bool]: + try: + if self.neural_machine != 'argostranslate': + return f'Neural machine {self.neural_machine} is not supported.', False + try: + stanza.download(source_iso1, processors='tokenize,mwt') + except Exception: + pass + error, ok = self.download_and_install(source_iso1, target_iso1) + if not ok: + return error, False + translation = self.build_translation(source_iso1, target_iso1, timeout=60.0) + if translation is None: + error = f'No translation path available: {source_iso1} -> {target_iso1}' + return error, False + self.translation = translation + self.source_lang_iso1 = source_iso1 + self.target_lang_iso1 = target_iso1 + return None, True + except Exception as e: + error = f'ArgosTranslator.start() error: {e}' + return error, False + + def process(self, text:str)->tuple[str, bool]: + try: + if not text or not text.strip(): + return text, True + if self.translation is None: + return 'ArgosTranslator.process() error: not started', False + return self.translation.translate(text), True + except Exception as e: + error = f'ArgosTranslator.process() error: {e}' + return error, False + + def translate(self, text:str, sml_pattern:re.Pattern|None)->tuple[str, bool]: + try: + if not text or not text.strip(): + return text, True + if not sml_pattern: + return self.process(text) + + parts:list[tuple[str, bool]] = [] + last_end = 0 + for m in sml_pattern.finditer(text): + if m.start() > last_end: + parts.append((text[last_end : m.start()], False)) + parts.append((m.group(0), True)) + last_end = m.end() + if last_end < len(text): + parts.append((text[last_end:], False)) + + buf:list[str] = [] + for part, is_sml in parts: + if is_sml: + buf.append(part) + else: + translated_part, ok = self.process(part) + if not ok: + return translated_part, False + buf.append(translated_part) + + return ''.join(buf), True + except Exception as e: + error = f'ArgosTranslator.translate() error: {e}' + return error, False diff --git a/lib/classes/background_detector.py b/lib/classes/background_detector.py new file mode 100644 index 0000000..77cacdc --- /dev/null +++ b/lib/classes/background_detector.py @@ -0,0 +1,202 @@ +import threading, warnings + +from lib.conf import DEVICE_SYSTEM, systems, tts_dir, devices +from lib.conf_models import default_voice_detection_model + +_pipeline_cache = {} +_pipeline_lock = threading.Lock() + +def pyannote_patch()->None: + '''Restore APIs removed in torchaudio >=2.9 that pyannote.audio's + transitive deps (speechbrain, asteroid-filterbanks, silero-vad, …) + still call at import time, and route pyannote.audio 4.x's I/O + through soundfile instead of torchcodec (which is broken on + Windows ROCm builds and unnecessary for our preloaded-dict path). + Idempotent: safe to call from both app entrypoint and lazy paths. + ''' + import torchaudio + # Silence pyannote.audio.core.io's torchcodec warning. Must run + # before `from pyannote.audio import ...` triggers io.py import. + warnings.filterwarnings( + 'ignore', + message=r'(?s).*torchcodec is not installed correctly.*', + category=UserWarning, + ) + if not hasattr(torchaudio, 'list_audio_backends'): + def _list_audio_backends()->list: + backends = [] + try: + from torchaudio.utils import ffmpeg_utils + if ffmpeg_utils.get_versions(): + backends.append('ffmpeg') + except Exception: + pass + try: + import soundfile + backends.append('soundfile') + except Exception: + pass + return backends + torchaudio.list_audio_backends = _list_audio_backends + if not hasattr(torchaudio, 'AudioMetaData'): + class _AudioMetaData: + def __init__(self, sample_rate:int=0, num_frames:int=0, + num_channels:int=0, bits_per_sample:int=0, + encoding:str='UNKNOWN')->None: + self.sample_rate = sample_rate + self.num_frames = num_frames + self.num_channels = num_channels + self.bits_per_sample = bits_per_sample + self.encoding = encoding + torchaudio.AudioMetaData = _AudioMetaData + # Replace pyannote.audio.core.io.Audio's torchcodec-backed loader + # with a soundfile-backed one. Preloaded {'waveform','sample_rate'} + # dicts short-circuit to the original code path (no decoding); any + # file-path input is decoded by soundfile then handed back to the + # original as an in-memory dict so its resampling/channel logic + # still applies. + try: + import torch, soundfile as sf + from pyannote.audio.core import io as _pa_io + if not getattr(_pa_io, '_e2a_sf_patched', False): + _orig_call = _pa_io.Audio.__call__ + def _sf_call(self, file, **kw): + if isinstance(file, dict) and 'waveform' in file: + return _orig_call(self, file, **kw) + path = file['audio'] if isinstance(file, dict) else file + data, sr = sf.read(str(path), dtype='float32', always_2d=True) + # soundfile -> (frames, channels); pyannote -> (channels, frames) + waveform = torch.from_numpy(data.T.copy()) + return _orig_call( + self, + {'waveform': waveform, 'sample_rate': sr}, + **kw, + ) + _pa_io.Audio.__call__ = _sf_call + _pa_io._e2a_sf_patched = True + except Exception: + pass + +class BackgroundDetector: + def __init__(self, wav_file:str, device:str)->None: + self.wav_file = wav_file + self.device = device + self.torch_device = None + self.total_duration = self._get_duration() + + def _get_duration(self)->float: + try: + import librosa + return float(librosa.get_duration(path=self.wav_file)) + except Exception: + return 0.0 + + def _get_props(self)->tuple: + import torch, librosa + pyannote_patch() + from pyannote.audio import Model + from pyannote.audio.pipelines import VoiceActivityDetection + from pyannote.audio.utils.reproducibility import ReproducibilityWarning + warnings.filterwarnings('ignore', category=ReproducibilityWarning) + # MIOpen on Windows ROCm fails to JIT pyannote's dropout kernel + # (miopenStatusUnknownError). On ROCm builds, torch.backends.cudnn + # maps to MIOpen; disabling it routes ops to native ATen kernels. + # Cost is negligible for VAD-sized models. + if getattr(torch.version, 'hip', None) is not None: + if DEVICE_SYSTEM == systems['WINDOWS']: + torch.backends.cudnn.enabled = False + self.torch_device = torch.device( + devices['CUDA']['proc'] if (self.device == devices['CUDA']['proc'] and getattr(torch.version, 'hip', None) is None) or (getattr(torch.version, 'hip', None) is not None and DEVICE_SYSTEM != systems['WINDOWS']) + else devices['XPU']['proc'] if hasattr(torch, devices['XPU']['proc']) and torch.xpu.is_available() + else devices['MPS']['proc'] if torch.backends.mps.is_available() + else devices['CPU']['proc'] + ) + key = self.torch_device.type + pipeline = _pipeline_cache.get(key) + if pipeline is None: + with _pipeline_lock: + pipeline = _pipeline_cache.get(key) + if pipeline is None: + model = Model.from_pretrained( + default_voice_detection_model, + cache_dir=tts_dir + ) + model.eval() + batch_size = 1 if devices['JETSON']['found'] else 32 + pipeline = VoiceActivityDetection(segmentation=model, batch_size=batch_size) + if key == devices['CUDA']['proc'] and not devices['JETSON']['found']: + torch.backends.cuda.matmul.allow_tf32 = True + torch.backends.cudnn.allow_tf32 = True + pipeline.instantiate({ + "min_duration_on": 0.0, + "min_duration_off": 0.0 + }) + pipeline.to(self.torch_device) + _pipeline_cache[key] = pipeline + if pipeline: + y, sr = librosa.load(self.wav_file, sr=16000, mono=True) + waveform = torch.from_numpy(y).float().unsqueeze(0) + return pipeline, waveform, sr + return None, None, None + + def detect(self, vad_ratio_thresh:float=0.05)->tuple[bool, dict[str, float|bool]]: + import gc, torch + pipeline, waveform, sr = self._get_props() + try: + if ( + pipeline is not None + and waveform is not None + and waveform.numel() > 0 + and sr is not None + and sr > 0 + ): + file = { + "waveform": waveform, + "sample_rate": sr + } + with torch.inference_mode(): + annotation = pipeline(file) + speech_time = sum( + segment.end - segment.start + for segment in annotation.itersegments() + ) + non_speech_ratio = 1.0 - ( + speech_time / self.total_duration if self.total_duration > 0 else 0.0 + ) + background_detected = non_speech_ratio > vad_ratio_thresh + return background_detected, { + "non_speech_ratio": non_speech_ratio, + "background_detected": background_detected + } + return False, {} + finally: + # Park cached pipelines on CPU so they don't hold accelerator memory + # while Demucs (or other heavy models) loads later in extract_voice(). + # Keep them in _pipeline_cache so subsequent detect() calls can reuse + # them without reloading from disk; _get_props() is expected to call + # .to(self.torch_device) on retrieval. + with _pipeline_lock: + for p in _pipeline_cache.values(): + try: + p.to('cpu') + except Exception: + pass + # Drop local refs to free any short-lived tensors / annotations + pipeline = waveform = sr = None + gc.collect() + if torch.cuda.is_available(): + try: + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + except Exception: + pass + if hasattr(torch, 'xpu') and torch.xpu.is_available(): + try: + torch.xpu.empty_cache() + except Exception: + pass + if torch.backends.mps.is_available(): + try: + torch.mps.empty_cache() + except Exception: + pass diff --git a/lib/classes/device_installer.py b/lib/classes/device_installer.py new file mode 100644 index 0000000..b104966 --- /dev/null +++ b/lib/classes/device_installer.py @@ -0,0 +1,1526 @@ +import os, re, sys, platform, shutil, subprocess, importlib, json + +from functools import cached_property +from typing import Union +from glob import glob +from importlib.metadata import version, PackageNotFoundError +from lib.conf import * + +class DeviceInstaller(): + + def __init__(self): + self.system = sys.platform + self.arch = self.check_arch + self.python_version = sys.version_info[:2] + self.python_version_tuple = sys.version_info + + @cached_property + def check_platform(self)->str: + return self.detect_platform_tag() + + @cached_property + def check_arch(self)->str: + return self.detect_arch_tag() + + @cached_property + def check_hardware(self)->tuple: + return self.detect_device() + + @cached_property + def cpu_baseline(self)->bool: + machine = platform.machine().lower() + if machine not in (archs['X86_64'], archs['AMD64']): + return True + cpuinfo_version = self.get_package_version('py-cpuinfo') + if not cpuinfo_version: + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', 'py-cpuinfo']) + from cpuinfo import get_cpu_info + flags = set(get_cpu_info().get('flags', [])) + return {'sse4_2', 'popcnt', 'ssse3'}.issubset(flags) + + def check_device_info(self, mode:str)->str: + if mode == NATIVE: + name, tag, msg = self.check_hardware + pyvenv = [3, 10] if tag in ['jetson51', 'jetson60', 'jetson61'] else list(max_python_version) + arch = archs['AARCH64'] if name in [devices['JETSON']['proc']] else self.arch + os_env = 'linux' if name == devices['JETSON']['proc'] else self.check_platform + if all([name, tag, os_env, arch, pyvenv]): + device_info = {"name": name, "os": os_env, "arch": arch, "pyvenv": pyvenv, "tag": tag, "note": msg} + try: + with open(device_info_json, 'w', encoding='utf-8') as f: + json.dump(device_info, f) + except OSError as e: + error = f'warning: could not write .device_info.json: {e}' + print(error, file=sys.stderr) + return json.dumps(device_info) + elif mode == BUILD_DOCKER: + name, tag, msg = self.check_hardware + os_env = 'manylinux_2_28' + pyvenv = [3, 10] if tag in ['jetson51', 'jetson60', 'jetson61'] else list(max_python_version) + arch = archs['AARCH64'] if name in [devices['JETSON']['proc'], devices['MPS']['proc']] else self.arch + if name in [devices['JETSON']['proc'], devices['MPS']['proc']]: + name = tag = devices['CPU']['proc'] + device_info = {"name": name, "os": os_env, "arch": arch, "pyvenv": pyvenv, "tag": tag, "note": msg.replace('!', '')} + try: + with open(device_info_json, 'w', encoding='utf-8') as f: + json.dump(device_info, f) + except OSError as e: + error = f'warning: could not write .device_info.json: {e}' + print(error, file=sys.stderr) + return json.dumps(device_info) + elif mode == FULL_DOCKER: + device_info = None + if os.path.isfile(device_info_json): + try: + with open(device_info_json, 'r', encoding='utf-8') as f: + device_info = json.load(f) + except (OSError, json.JSONDecodeError): + pass + if device_info is None: + env_str = os.environ.get('DOCKER_DEVICE_STR', '') + if env_str: + try: + device_info = json.loads(env_str) + except json.JSONDecodeError: + pass + if device_info is not None: + devices[device_info['name'].upper()]['found'] = True + return json.dumps(device_info) + return '' + + def get_package_version(self, pkg:str)->Union[str, bool]: + try: + return version(pkg) + except PackageNotFoundError: + return False + + def detect_platform_tag(self)->str: + if self.system == systems['WINDOWS']: + return 'win' + if self.system == systems['MACOS']: + return 'macosx_11_0' + if self.system == systems['LINUX']: + return 'manylinux_2_28' + return 'unknown' + + def detect_arch_tag(self)->str: + m = platform.machine().upper() + return archs.get(m, 'unknown') + + def detect_device(self)->str: + + def has_cmd(cmd:str)->bool: + return shutil.which(cmd) is not None + + def try_cmd(cmd:str)->str: + try: + out = subprocess.check_output( + cmd, + shell = True, + stderr = subprocess.DEVNULL + ) + return out.decode().lower() + except Exception: + return '' + + def lib_version_parse(text:str)->Union[str, None]: + if not text: + return None + text = text.strip() + if text.startswith('{'): + try: + obj = json.loads(text) + if isinstance(obj, dict): + if devices['CUDA']['proc'] in obj and isinstance(obj[devices['CUDA']['proc']], dict): + v = obj[devices['CUDA']['proc']].get('version') + if v: + return str(v) + v = obj.get('version') + if v: + return str(v) + except Exception: + pass + m = re.search(r'cuda\s*version\s*([0-9]+(?:\.[0-9]+){1,2})', text, re.IGNORECASE) + if m: + return m.group(1) + m = re.search(r'cuda\s*([0-9]+(?:\.[0-9]+)?)', text, re.IGNORECASE) + if m: + return m.group(1) + m = re.search(r'rocm\s*version\s*([0-9]+(?:\.[0-9]+){0,2})', text, re.IGNORECASE) + if m: + return m.group(1) # CHANGED: keep full version, don't truncate to major.minor + m = re.search(r'hip\s*version\s*([0-9]+(?:\.[0-9]+){0,2})', text, re.IGNORECASE) + if m: + return m.group(1) # CHANGED: keep full version + m = re.search(r'(oneapi|xpu)\s*(toolkit\s*)?version\s*([0-9]+(?:\.[0-9]+)?)', text, re.IGNORECASE) + if m: + return m.group(3) + return None + + def version_classify(version_str:Union[str, None], version_range:dict)->tuple: + # Returns (cmp, current_tuple, min_tuple, max_tuple) + # cmp: -1 = below min, 0 = in range, 1 = above max, None = parse fail / unranged + # current_tuple is (major, minor, patch) — patch defaults to 0 + if version_str is None: + return (None, None, None, None) + min_raw = tuple(version_range.get('min', (0, 0))) + max_raw = tuple(version_range.get('max', (0, 0))) + # Pad min/max to 3-tuples for consistent comparison + min_tuple = min_raw + (0,) * (3 - len(min_raw)) if len(min_raw) < 3 else min_raw[:3] + max_tuple = max_raw + (0,) * (3 - len(max_raw)) if len(max_raw) < 3 else max_raw[:3] + try: + parts = version_str.split('.') + major = int(parts[0]) + minor = int(parts[1]) if len(parts) > 1 else 0 + patch = int(parts[2]) if len(parts) > 2 else 0 + except (ValueError, IndexError): + return (None, None, min_tuple, max_tuple) + current = (major, minor, patch) + if min_tuple == (0, 0, 0) and max_tuple == (0, 0, 0): + return (0, current, min_tuple, max_tuple) + # Compare on (major, minor) only for the range check — patch doesn't gate + current_mm = (major, minor) + min_mm = min_tuple[:2] + max_mm = max_tuple[:2] + if min_mm != (0, 0) and current_mm < min_mm: + return (-1, current, min_tuple, max_tuple) + if max_mm != (0, 0) and current_mm > max_mm: + return (1, current, min_tuple, max_tuple) + return (0, current, min_tuple, max_tuple) + + def tegra_version()->str: + if os.path.exists('/etc/nv_tegra_release'): + return try_cmd('cat /etc/nv_tegra_release') + return '' + + def jetpack_version(text:str)->tuple: + m1 = re.search(r'r(\d+)', text) + m2 = re.search(r'revision:\s*([\d\.]+)', text) + msg = '' + if not m1 or not m2: + msg = 'Unrecognized JetPack version. Falling back to CPU.' + return ('unknown', msg) + l4t_major = int(m1.group(1)) + rev = m2.group(1) + parts = rev.split('.') + rev_major = int(parts[0]) + if l4t_major < 35: + msg = f'JetPack too old (L4T {l4t_major}). Please upgrade to JetPack 6+. Falling back to CPU.' + return ('unsupported', msg) + if l4t_major == 35: + return ('51', msg) + if rev_major == 2: + return ('60', msg) + return ('61', msg) + + def has_amd_gpu_pci(): + if self.system == systems['MACOS']: + return False + if os.name == 'posix': + sysfs = '/sys/bus/pci/devices' + if os.path.isdir(sysfs): + for d in os.listdir(sysfs): + dev = os.path.join(sysfs, d) + try: + with open(f'{dev}/vendor') as f: + if f.read().strip() not in ('0x1002', '0x1022'): + continue + with open(f'{dev}/class') as f: + cls = f.read().strip() + if cls.startswith('0x0300') or cls.startswith('0x0302'): + return True + except Exception: + pass + if has_cmd('lspci'): + out = try_cmd('lspci -nn').lower() + return ( + ('1002:' in out or '1022:' in out) and + (' vga ' in out or ' 3d ' in out) + ) + return False + if os.name == 'nt': + if has_cmd('wmic'): + out = try_cmd('wmic path win32_VideoController get Name,PNPDeviceID').lower() + return 'ven_1002' in out + if has_cmd('powershell'): + out = try_cmd('powershell -Command "Get-PnpDevice -Class Display | Select-Object -ExpandProperty InstanceId"').lower() + return 'ven_1002' in out + return False + return False + + def has_rocm(): + if self.system == systems['LINUX']: + rocm_paths = ['/opt/rocm', '/opt/rocm/bin/rocminfo'] + if any(os.path.exists(p) for p in rocm_paths): + return True + return has_cmd('rocminfo') + elif self.system == systems['WINDOWS']: + hip_path = os.environ.get('HIP_PATH') + if hip_path and os.path.isdir(hip_path): + return True + program_files = os.environ.get('ProgramFiles', '') + if program_files and glob(os.path.join(program_files, 'AMD', 'ROCm', '*')): + return True + return has_cmd('rocminfo') + return False + + def has_nvidia_gpu_pci(): + if self.system == systems['MACOS']: + return False + if os.name == 'posix': + sysfs = '/sys/bus/pci/devices' + if os.path.isdir(sysfs): + for d in os.listdir(sysfs): + dev = os.path.join(sysfs, d) + try: + with open(f'{dev}/vendor') as f: + if f.read().strip() != '0x10de': + continue + with open(f'{dev}/class') as f: + cls = f.read().strip() + if cls.startswith('0x0300') or cls.startswith('0x0302'): + return True + except Exception: + pass + if has_cmd('lspci'): + out = try_cmd('lspci -nn').lower() + return '10de:' in out and (' vga ' in out or ' 3d ' in out) + return False + if os.name == 'nt': + if has_cmd('nvidia-smi'): + return True + if has_cmd('wmic'): + out = try_cmd('wmic path win32_VideoController get Name,PNPDeviceID').lower() + return 'ven_10de' in out + if has_cmd('powershell'): + out = try_cmd( + 'powershell -Command "Get-PnpDevice -Class Display | ' + 'Select-Object -ExpandProperty InstanceId"' + ).lower() + return 'ven_10de' in out + return False + return False + + def is_wsl2(): + if os.name != 'posix': + return False + try: + with open('/proc/version', 'r', encoding='utf-8', errors='ignore') as f: + return 'microsoft' in f.read().lower() + except Exception: + return False + + def has_cuda(): + if self.system == systems['MACOS']: + return False + if not has_cmd('nvidia-smi'): + return False + out = try_cmd('nvidia-smi -L').lower() + if not out: + return False + if 'failed' in out or 'error' in out or 'no devices were found' in out: + return False + return 'gpu' in out + + def has_intel_gpu_pci(): + if self.system == systems['MACOS']: + return False + if os.name == 'posix': + sysfs = '/sys/bus/pci/devices' + if os.path.isdir(sysfs): + for d in os.listdir(sysfs): + dev = os.path.join(sysfs, d) + try: + with open(f'{dev}/vendor') as f: + if f.read().strip() != '0x8086': + continue + with open(f'{dev}/class') as f: + cls = f.read().strip() + if cls.startswith('0x0300') or cls.startswith('0x0302'): + return True + except Exception: + pass + if has_cmd('lspci'): + out = try_cmd('lspci -nn').lower() + return '8086:' in out and (' vga ' in out or ' 3d ' in out) + return False + if os.name == 'nt': + if has_cmd('wmic'): + out = try_cmd('wmic path win32_VideoController get Name,PNPDeviceID').lower() + return 'ven_8086' in out + if has_cmd('powershell'): + out = try_cmd( + 'powershell -Command "Get-PnpDevice -Class Display | ' + 'Select-Object -ExpandProperty InstanceId"' + ).lower() + return 'ven_8086' in out + return False + return False + + def has_xpu(): + if self.system == systems['MACOS']: + return False + if os.name == 'posix': + if not os.path.exists('/dev/dri/renderD128'): + return False + if has_cmd('sycl-ls'): + out = try_cmd('sycl-ls').lower() + if 'level-zero' in out and 'gpu' in out: + return True + if has_cmd('clinfo'): + out = try_cmd('clinfo').lower() + if 'intel' in out and 'gpu' in out: + return True + return False + if os.name == 'nt': + if has_cmd('sycl-ls'): + out = try_cmd('sycl-ls').lower() + return 'gpu' in out + return False + return False + + name = None + tag = None + msg = '' + arch = platform.machine().lower() + forced_tag = os.environ.get('DEVICE_TAG') + + if forced_tag: + tag_letters = re.match(r'[a-zA-Z]+', forced_tag) + if tag_letters: + tag_letters = tag_letters.group(0).lower() + name = devices['CUDA']['proc'] if tag_letters == 'cu' else devices['ROCM']['proc'] if tag_letters == devices['ROCM']['proc'] else devices['JETSON']['proc'] if tag_letters == devices['JETSON']['proc'] else devices['XPU']['proc'] if tag_letters == devices['XPU']['proc'] else devices['MPS']['proc'] if tag_letters == devices['MPS']['proc'] else devices['CPU']['proc'] + devices[name.upper()]['found'] = True + tag = forced_tag + msg = f'Hardware forced from DEVICE_TAG={tag}' + else: + msg = f'DEVICE_TAG not valid' + else: + # ============================================================ + # JETSON + # ============================================================ + if arch in (archs['AARCH64'],archs['ARM64']) and (os.path.exists('/etc/nv_tegra_release') or 'tegra' in try_cmd('cat /proc/device-tree/compatible')): + raw = tegra_version() + jp_code, msg = jetpack_version(raw) + if jp_code not in ('unsupported', 'unknown'): + if os.path.exists('/etc/nv_tegra_release'): + devices['JETSON']['found'] = True + name = devices['JETSON']['proc'] + tag = f'jetson{jp_code}' + elif os.path.exists('/proc/device-tree/compatible'): + out = try_cmd('cat /proc/device-tree/compatible') + if 'tegra' in out: + devices['JETSON']['found'] = True + name = devices['JETSON']['proc'] + tag = f'jetson{jp_code}' + else: + out = try_cmd('uname -a') + if 'tegra' in out: + msg = 'Jetson GPU detected but not(?) compatible' + if devices['JETSON']['found']: + os.environ['CUDA_MODULE_LOADING'] = 'LAZY' + os.environ['TORCH_CUDA_ENABLE_CUDA_GRAPH'] = '0' + os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'max_split_size_mb:128,garbage_collection_threshold:0.6,expandable_segments:False' + + # ============================================================ + # ROCm + # ============================================================ + elif has_rocm() and has_amd_gpu_pci(): + + def _normalize_version(v:str)->tuple: + '''Parse version string into (major, minor, patch). Patch defaults to 0.''' + m = re.search(r'(\d+)\.(\d+)(?:\.(\d+))?', v or '') + if not m: + return () + major = int(m.group(1)) + minor = int(m.group(2)) + patch = int(m.group(3)) if m.group(3) else 0 + return (major, minor, patch) + + os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'expandable_segments:False' + os.environ['PYTORCH_HIP_ALLOC_CONF'] = 'expandable_segments:False' + version = () + msg = '' + hip_device_count = 0 + + # 1) HIP runtime detection via ctypes (primary) + try: + import ctypes + libhip = None + + if os.name == 'nt': + hip_path = os.environ.get('HIP_PATH', '') + candidates = ['amdhip64.dll'] + if hip_path: + candidates.insert(0, os.path.join(hip_path, 'bin', 'amdhip64.dll')) + for lib_name in candidates: + try: + libhip = ctypes.CDLL(lib_name) + break + except OSError: + continue + else: + candidates = ['libamdhip64.so'] + min_major, _ = rocm_version_range['min'] + max_major, _ = rocm_version_range['max'] + for major in range(max_major + 2, min_major - 1, -1): + candidates.append(f'libamdhip64.so.{major}') + hip_lib_dirs = [ + '/opt/rocm/lib', + '/opt/rocm/lib64', + '/usr/lib/x86_64-linux-gnu', + '/usr/lib64', + ] + for p in sorted(glob('/opt/rocm-*/lib'), reverse=True): + hip_lib_dirs.append(p) + for d in hip_lib_dirs: + if os.path.isdir(d): + try: + for f in sorted(os.listdir(d), reverse=True): + if f.startswith('libamdhip64.so.'): + candidates.append(os.path.join(d, f)) + except OSError: + pass + for lib_name in candidates: + try: + libhip = ctypes.CDLL(lib_name) + break + except OSError: + continue + + if libhip: + device_count = ctypes.c_int() + if libhip.hipGetDeviceCount(ctypes.byref(device_count)) == 0: + hip_device_count = device_count.value + v_int = ctypes.c_int() + if libhip.hipRuntimeGetVersion(ctypes.byref(v_int)) == 0: + v = v_int.value + if v >= 10000000: + major = v // 10000000 + minor = (v % 10000000) // 100000 + patch = v % 100000 + elif v >= 100: + major = v // 100 + minor = (v % 100) // 10 + patch = 0 + else: + major, minor, patch = v, 0, 0 + if hip_device_count > 0: + version = (major, minor, patch) + else: + ver_disp = f'{major}.{minor}.{patch}' if patch else f'{major}.{minor}' + msg = f'HIP runtime present ({ver_disp}) but no devices.' + except (OSError, AttributeError): + pass + + # 2) hipcc fallback + if not version: + if os.name == 'posix' and has_cmd('hipcc'): + out = try_cmd('hipcc --version') + if out: + m = re.search(r'HIP version:\s*([\d.]+)', out, re.IGNORECASE) + if m: + version = _normalize_version(m.group(1)) + elif os.name == 'nt': + hip_path = os.environ.get('HIP_PATH', '') + hipcc = os.path.join(hip_path, 'bin', 'hipcc') if hip_path else '' + if hipcc and os.path.isfile(hipcc): + out = try_cmd(f'"{hipcc}" --version') + if out: + m = re.search(r'HIP version:\s*([\d.]+)', out, re.IGNORECASE) + if m: + version = _normalize_version(m.group(1)) + if not version and has_cmd('hipcc'): + out = try_cmd('hipcc --version') + if out: + m = re.search(r'HIP version:\s*([\d.]+)', out, re.IGNORECASE) + if m: + version = _normalize_version(m.group(1)) + + # 3) torch.version.hip fallback + if not version: + try: + import torch + if getattr(torch.version, 'hip', None): + version = _normalize_version(torch.version.hip) + except Exception: + pass + + # 4) ROCm install dir fallback + if not version: + if os.name == 'posix': + for p in sorted(glob('/opt/rocm-*'), reverse=True): + base = os.path.basename(p).replace('rocm-', '') + v = _normalize_version(base) + if v: + version = v + break + if not version: + for p in ('/opt/rocm/.info/version', '/opt/rocm/version'): + if os.path.exists(p): + try: + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = _normalize_version(lib_version_parse(f.read())) + break + except Exception: + pass + elif os.name == 'nt': + program_files = os.environ.get('ProgramFiles', '') + if program_files: + for p in sorted(glob(os.path.join(program_files, 'AMD', 'ROCm', '*')), reverse=True): + v = _normalize_version(os.path.basename(p)) + if v: + version = v + break + if not version: + for env in ('ROCM_PATH', 'HIP_PATH'): + base = os.environ.get(env) + if base: + for p in (os.path.join(base, 'version'), os.path.join(base, '.info', 'version')): + if os.path.exists(p): + try: + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = _normalize_version(lib_version_parse(f.read())) + break + except Exception: + pass + if version: + break + if version: + version_str = '.'.join(str(p) for p in version) + cmp, current, min_tuple, max_tuple = version_classify(version_str, rocm_version_range) + # min_ver / max_ver: strip trailing .0 for display (range tuples are major.minor) + min_ver = f'{min_tuple[0]}.{min_tuple[1]}' + max_ver = f'{max_tuple[0]}.{max_tuple[1]}' + if self.system == systems['WINDOWS'] and version < max_tuple: + msg = f'ROCm {version_str} on Windows; needs to be upgraded to {max_ver}.x.' + elif cmp == -1: + msg = f'ROCm {version_str} < min {min_ver}. Please upgrade.' + elif cmp is None: + msg = 'ROCm GPU detected but version unparseable.' + else: + devices['ROCM']['found'] = True + name = devices['ROCM']['proc'] + compat_versions = [] + for t, entry in torch_matrix.items(): + if self.system not in entry['os'] or not t.startswith('rocm'): + continue + ver_str = t[len('rocm-rel-'):] if t.startswith('rocm-rel-') else t[len('rocm'):] + tag_ver = _normalize_version(ver_str) + if not tag_ver: + continue + compat_versions.append(tag_ver) + tag = None + if compat_versions: + le_versions = [v for v in compat_versions if v <= version] + if le_versions: + matched = max(le_versions) + if self.system == systems['WINDOWS']: + tag = f'rocm-rel-{matched[0]}.{matched[1]}.{matched[2]}' if matched[2] else f'rocm-rel-{matched[0]}.{matched[1]}' + else: + tag = f'rocm{matched[0]}.{matched[1]}.{matched[2]}' if matched[2] else f'rocm{matched[0]}.{matched[1]}' + if cmp == 1: + msg = f'ROCm {version_str} but tested max {max_ver} so using torch for {tag}' if tag else f'ROCm {version_str} detected but torch with this version not ready for your OS' + elif not tag: + msg = f'ROCm {version_str} detected but no compatible torch build for this OS.' + else: + msg = 'ROCm hardware detected but AMD ROCm base runtime not installed.' + + # 5) Last-resort torch fallback + if not devices['ROCM']['found']: + try: + import torch + if torch.cuda.is_available() and hasattr(torch.version, 'hip') and torch.version.hip: + devices['ROCM']['found'] = True + version = _normalize_version(torch.version.hip) + if version: + if self.system == systems['WINDOWS'] and version < tuple(rocm_version_range['max']): + devices['ROCM']['found'] = False + max_ver = f"{rocm_version_range['max'][0]}.{rocm_version_range['max'][1]}" + msg = f'ROCm {".".join(str(p) for p in version)} on Windows; needs to be upgraded to {max_ver}.x.' + else: + compat_versions = [] + for t, entry in torch_matrix.items(): + if self.system not in entry['os'] or not t.startswith('rocm'): + continue + ver_str = t[len('rocm-rel-'):] if t.startswith('rocm-rel-') else t[len('rocm'):] + tag_ver = _normalize_version(ver_str) + if not tag_ver: + continue + compat_versions.append(tag_ver) + tag = None + if compat_versions: + le_versions = [v for v in compat_versions if v <= version] + if le_versions: + matched = max(le_versions) + if self.system == systems['WINDOWS']: + tag = f'rocm-rel-{matched[0]}.{matched[1]}.{matched[2]}' if matched[2] else f'rocm-rel-{matched[0]}.{matched[1]}' + else: + tag = f'rocm{matched[0]}.{matched[1]}.{matched[2]}' if matched[2] else f'rocm{matched[0]}.{matched[1]}' + msg = '' + except Exception: + pass + + # ============================================================ + # CUDA + # ============================================================ + elif has_cuda() and (has_nvidia_gpu_pci() or is_wsl2()): + version = '' + msg = '' + + # 1) CUDA runtime detection via ctypes (primary) + try: + import ctypes + libcudart = None + + if os.name == 'nt': + # CUDA 12+ filename dropped the minor: 'cudart64_12.dll' + # CUDA 11.x still has minor suffix: 'cudart64_11{minor}.dll' + candidates = [] + # Forward-compat for CUDA 13/14/15 (newest first) + for major in range(15, 11, -1): + candidates.append(f'cudart64_{major}.dll') + # CUDA 11.x minors (newest first) + for minor in range(9, -1, -1): + candidates.append(f'cudart64_11{minor}.dll') + for dll in candidates: + try: + libcudart = ctypes.CDLL(dll) + break + except OSError: + continue + else: + # Linux / WSL2 — SONAME is major-only for CUDA 11+ + candidates = ['libcudart.so'] + min_major, _ = cuda_version_range['min'] + max_major, _ = cuda_version_range['max'] + # Extend upward past max for tolerance + for major in range(max_major + 3, min_major - 1, -1): + candidates.append(f'libcudart.so.{major}') + cuda_lib_dirs = [ + '/usr/local/cuda/lib64', + '/usr/lib/x86_64-linux-gnu', + '/usr/lib64', + ] + for d in cuda_lib_dirs: + if os.path.isdir(d): + try: + for f in sorted(os.listdir(d), reverse=True): + if f.startswith('libcudart.so.'): + candidates.append(os.path.join(d, f)) + except OSError: + pass + for lib_name in candidates: + try: + libcudart = ctypes.CDLL(lib_name) + break + except OSError: + continue + + if libcudart: + v_int = ctypes.c_int() + if libcudart.cudaRuntimeGetVersion(ctypes.byref(v_int)) == 0: + device_count = ctypes.c_int() + if libcudart.cudaGetDeviceCount(ctypes.byref(device_count)) == 0: + v = v_int.value + major = v // 1000 + minor = (v % 1000) // 10 + if device_count.value > 0: + version = f'{major}.{minor}' + else: + msg = f'CUDA runtime present ({major}.{minor}) but no devices.' + else: + v = v_int.value + major = v // 1000 + minor = (v % 1000) // 10 + msg = f'CUDA runtime present ({major}.{minor}) but cudaGetDeviceCount failed.' + except (OSError, AttributeError): + pass + + # 2) CUDA toolkit version file (fallback) + if not version: + if os.name == 'posix': + for p in ('/usr/local/cuda/version.json', '/usr/local/cuda/version.txt'): + if os.path.exists(p): + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = lib_version_parse(f.read()) or '' + break + elif os.name == 'nt': + cuda_path = os.environ.get('CUDA_PATH') + if cuda_path: + for p in ( + os.path.join(cuda_path, 'version.json'), + os.path.join(cuda_path, 'version.txt'), + ): + if os.path.exists(p): + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = lib_version_parse(f.read()) or '' + break + + # 3) Version comparison + tag assignment + # Tolerant: CUDA > max is accepted (driver is backward-compatible), + # but torch build tag clamps at max (cu128) so we install a real wheel. + if version: + cmp, current, min_tuple, max_tuple = version_classify(version, cuda_version_range) + min_ver = f'{min_tuple[0]}.{min_tuple[1]}' + max_ver = f'{max_tuple[0]}.{max_tuple[1]}' + if cmp == -1: + msg = f'CUDA {version} < min {min_ver}. Please upgrade.' + elif cmp is None: + msg = f'CUDA version {version} unparseable.' + else: + devices['CUDA']['found'] = True + name = devices['CUDA']['proc'] + if cmp == 1: + tag = f'cu{max_tuple[0]}{max_tuple[1]}' + msg = f'CUDA {version} but tested max {max_ver} so using torch for cu{max_tuple[0]}{max_tuple[1]}' + else: + tag = f'cu{current[0]}{current[1]}' # still index 0/1, ignore patch + else: + msg = 'CUDA Toolkit or Runtime not installed or hardware not detected.' + + # 4) PyTorch fallback (only helps if a CUDA-enabled torch is already installed) + if not devices['CUDA']['found']: + try: + import torch + if torch.cuda.is_available(): + devices['CUDA']['found'] = True + torch_cuda_ver = torch.version.cuda + if torch_cuda_ver: + cmp, current, min_tuple, max_tuple = version_classify(torch_cuda_ver, cuda_version_range) + if cmp == 1: + tag = f'cu{max_tuple[0]}{max_tuple[1]}' + elif cmp == 0 and current is not None: + tag = f'cu{current[0]}{current[1]}' + else: + tag = f'cu{max_tuple[0]}{max_tuple[1]}' + name = devices['CUDA']['proc'] + msg = '' + except Exception: + pass + + # 5) nvidia-smi header parsing — last-resort rescue + # Works driver-only; useful on fresh installs with no toolkit + # and CPU-only torch (where step 4 can't help). + if not devices['CUDA']['found'] and has_cmd('nvidia-smi'): + out = try_cmd('nvidia-smi') + # Header line: '| NVIDIA-SMI ... Driver Version: ... CUDA Version: 12.4 |' + m = re.search(r'cuda\s*version\s*:?\s*([0-9]+(?:\.[0-9]+)?)', out, re.IGNORECASE) + if m: + smi_version = m.group(1) + cmp, current, min_tuple, max_tuple = version_classify(smi_version, cuda_version_range) + max_ver = '.'.join(str(p) for p in max_tuple) + if cmp == -1: + msg = f'CUDA {smi_version} (from nvidia-smi) < min. Please upgrade.' + elif cmp is not None: + devices['CUDA']['found'] = True + name = devices['CUDA']['proc'] + if cmp == 1: + tag = f'cu{max_tuple[0]}{max_tuple[1]}' + msg = f'CUDA {smi_version} but tested max {max_ver} so using torch for cu{max_tuple[0]}{max_tuple[1]}' + else: + tag = f'cu{current[0]}{current[1]}' + msg = f'CUDA {smi_version} detected via nvidia-smi (driver-only).' + + # ============================================================ + # INTEL XPU + # ============================================================ + elif has_xpu() and has_intel_gpu_pci(): + version = '' + msg = '' + xpu_device_count = 0 + + # 1) Level Zero / SYCL runtime detection via ctypes (primary) + try: + import ctypes + libze = None + + if os.name == 'nt': + candidates = ['ze_loader.dll'] + oneapi_root = os.environ.get('ONEAPI_ROOT', '') + if oneapi_root: + candidates.insert(0, os.path.join(oneapi_root, 'bin', 'ze_loader.dll')) + for lib_name in candidates: + try: + libze = ctypes.CDLL(lib_name) + break + except OSError: + continue + else: + candidates = ['libze_loader.so', 'libze_loader.so.1'] + ze_lib_dirs = [ + '/usr/lib/x86_64-linux-gnu', + '/usr/lib64', + '/opt/intel/oneapi/lib', + ] + for d in ze_lib_dirs: + if os.path.isdir(d): + try: + for f in sorted(os.listdir(d), reverse=True): + if f.startswith('libze_loader.so.'): + candidates.append(os.path.join(d, f)) + except OSError: + pass + for lib_name in candidates: + try: + libze = ctypes.CDLL(lib_name) + break + except OSError: + continue + + if libze: + if libze.zeInit(ctypes.c_uint(0)) == 0: + driver_count = ctypes.c_uint(0) + if libze.zeDriverGet(ctypes.byref(driver_count), None) == 0 and driver_count.value > 0: + xpu_device_count = driver_count.value + except (OSError, AttributeError): + pass + + # 2) sycl-ls detection + if not version: + if os.name == 'posix' and has_cmd('sycl-ls'): + out = try_cmd('sycl-ls') + if out: + gpu_lines = [l for l in out.splitlines() if 'gpu' in l.lower()] + if gpu_lines and xpu_device_count == 0: + xpu_device_count = len(gpu_lines) + elif os.name == 'nt': + oneapi_root = os.environ.get('ONEAPI_ROOT', '') + sycl_ls = os.path.join(oneapi_root, 'bin', 'sycl-ls') if oneapi_root else '' + if sycl_ls and os.path.isfile(sycl_ls): + out = try_cmd(f'"{sycl_ls}"') + if out: + gpu_lines = [l for l in out.splitlines() if 'gpu' in l.lower()] + if gpu_lines and xpu_device_count == 0: + xpu_device_count = len(gpu_lines) + if xpu_device_count == 0 and has_cmd('sycl-ls'): + out = try_cmd('sycl-ls') + if out: + gpu_lines = [l for l in out.splitlines() if 'gpu' in l.lower()] + if gpu_lines: + xpu_device_count = len(gpu_lines) + + # 3) oneAPI version file + if not version: + if os.name == 'posix': + for p in ( + '/opt/intel/oneapi/version.txt', + '/opt/intel/oneapi/compiler/latest/version.txt', + '/opt/intel/oneapi/runtime/latest/version.txt', + ): + if os.path.exists(p): + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = lib_version_parse(f.read()) or '' + break + elif os.name == 'nt': + oneapi_root = os.environ.get('ONEAPI_ROOT') + if oneapi_root: + for p in ( + os.path.join(oneapi_root, 'version.txt'), + os.path.join(oneapi_root, 'compiler', 'latest', 'version.txt'), + os.path.join(oneapi_root, 'runtime', 'latest', 'version.txt'), + ): + if os.path.exists(p): + with open(p, 'r', encoding='utf-8', errors='ignore') as f: + version = lib_version_parse(f.read()) or '' + break + + # Version comparison + tag assignment (unranged by default: accepts anything) + if version: + cmp, current, min_tuple, max_tuple = version_classify(version, xpu_version_range) + min_ver = '.'.join(str(p) for p in min_tuple) + max_ver = '.'.join(str(p) for p in max_tuple) + if cmp == -1: + msg = f'XPU oneAPI {version} < min {min_ver}. Please upgrade.' + elif cmp is None: + msg = 'Intel GPU detected but oneAPI version unparseable.' + else: + devices['XPU']['found'] = True + name = devices['XPU']['proc'] + tag = devices['XPU']['proc'] + if cmp == 1: + msg = f'XPU oneAPI {version} but tested max {max_ver} so using torch default xpu build' + elif xpu_device_count > 0: + msg = 'Intel GPU detected but oneAPI toolkit version file not found.' + else: + msg = 'Intel GPU detected but oneAPI Base Toolkit not installed.' + + # 4) PyTorch last-resort fallback + if not devices['XPU']['found']: + try: + import torch + if hasattr(torch, 'xpu') and torch.xpu.is_available(): + devices['XPU']['found'] = True + xpu_device_count = torch.xpu.device_count() + name = devices['XPU']['proc'] + tag = devices['XPU']['proc'] + msg = 'XPU detected via PyTorch fallback.' + except Exception: + pass + + # ============================================================ + # APPLE MPS + # ============================================================ + elif self.system == systems['MACOS'] and arch in (archs['ARM64'], archs['AARCH64']): + devices['MPS']['found'] = True + name = devices['MPS']['proc'] + tag = devices['MPS']['proc'] + + # ============================================================ + # CPU + # ============================================================ + if tag is None: + name = devices['CPU']['proc'] + tag = devices['CPU']['proc'] + + name, tag, msg = (v.strip() if isinstance(v, str) else v for v in (name, tag, msg)) + return (name, tag, msg) + + def version_pkg(self, pkg_name:str, local_path:str|None=None)->str|None: + if pkg_name: + try: + return version(pkg_name) + except PackageNotFoundError: + pass + if not local_path or not os.path.isdir(local_path): + return None + version_file = os.path.join(local_path, 'version.txt') + if os.path.exists(version_file): + try: + with open(version_file, 'r', encoding = 'utf-8') as f: + return f.read().strip() + except Exception: + pass + return None + + def version_tuple(self, v:str, max_parts:int=3)->tuple: + m = re.search(r'\d+(?:\.\d+)*', v) + if not m: + return (0,) * max_parts + nums = [int(n) for n in m.group(0).split('.')[:max_parts]] + return tuple(nums + [0] * (max_parts - len(nums))) + + def eval_marker(self, marker_part:str)->tuple|bool: + env = { + 'python_version': '.'.join(map(str, sys.version_info[:2])), + 'sys_platform': sys.platform, + 'platform_system': platform.system(), + 'platform_machine': platform.machine() + } + m = re.match(r'(\w+)\s*(==|!=|>=|<=|>|<)\s*["\']([^"\']+)["\']', marker_part) + if not m: + raise ValueError(f'Unsupported marker: {marker_part}') + key, op, value = m.groups() + if key not in env: + raise ValueError(f'Unknown marker variable: {key}') + def vt(v): return tuple(map(int, v.split('.'))) if v[0].isdigit() else v + left = vt(env[key]) + right = vt(value) + if op == '==': return left == right + if op == '!=': return left != right + if op == '>=': return left >= right + if op == '<=': return left <= right + if op == '>': return left > right + if op == '<': return left < right + return False + + def install_python_packages(self)->int: + if not os.path.exists(requirements_file): + error = f'Warning: File {requirements_file} not found. Skipping package check.' + print(error) + return 1 + self.remove_obsolete_packages() + overrides = {} + packages = [] + onnx_pkg = 'onnxruntime' + if self.system != systems['MACOS']: + onnx_pkg = self.check_onnxruntime_pkg() + if onnx_pkg is not None: + packages.append(onnx_pkg) + if self.system == systems['MACOS'] and platform.machine().lower() in ('x86_64', 'amd64'): + overrides['llvmlite'] = 'llvmlite==0.44.0' + overrides['numba'] = 'numba==0.61.0' + try: + with open(requirements_file, 'r') as f: + contents = f.read().replace('\r', '\n') + for line in contents.splitlines(): + pkg = line.strip() + if not pkg or not re.search(r'[a-zA-Z0-9]', pkg): + continue + if '#' in pkg: + pkg = pkg.split('#', 1)[0].strip() + if not pkg: + continue + head = re.split(r'[<>=!\[;]', pkg, 1)[0].strip().lower() + if head in {'torch', 'torchaudio'}: + continue + if head in overrides: + if overrides[head] is None: + continue + pkg = overrides[head] + packages.append(pkg) + missing_packages = [] + for package in packages: + raw_pkg = package.strip() + if ';' in raw_pkg: + pkg_part, marker_part = raw_pkg.split(';', 1) + marker_part = marker_part.strip() + try: + if not self.eval_marker(marker_part): + continue + except Exception as e: + error = f'Warning: Could not evaluate marker {marker_part} for {pkg_part}: {e}' + print(error) + raw_pkg = pkg_part.strip() + clean_pkg = re.sub(r'\[.*?\]', '', raw_pkg) + local_path = None + pkg_name = None + if os.path.isdir(clean_pkg): + local_path = os.path.abspath(clean_pkg) + else: + vcs_match = re.search(r'([\w\-]+)\s*@?\s*git\+', clean_pkg) + if vcs_match: + pkg_name = vcs_match.group(1) + else: + pkg_base = re.split(r'[<>=!]', clean_pkg, maxsplit=1)[0].strip() + pkg_name = pkg_base + if 'git+' in raw_pkg or '://' in raw_pkg: + spec = importlib.util.find_spec(pkg_name) + if spec is None: + msg = f'{pkg_name} (git package) is missing.' + print(msg) + missing_packages.append(raw_pkg) + continue + if local_path: + pkg_name = os.path.basename(local_path) + vendor_version = self.version_pkg(None, local_path) + if not vendor_version: + msg = f'{local_path} has no detectable version.' + print(msg) + missing_packages.append(raw_pkg) + continue + try: + installed_version = version(pkg_name) + except PackageNotFoundError: + error = f'{pkg_name} is not installed.' + print(error) + missing_packages.append(raw_pkg) + continue + if installed_version != vendor_version: + msg = f'{pkg_name} version mismatch: installed {installed_version} != vendor {vendor_version}.' + print(msg) + missing_packages.append(raw_pkg) + continue + installed_version = self.version_pkg(pkg_name, None) + if not installed_version: + msg = f'{pkg_name} is not installed.' + print(msg) + missing_packages.append(raw_pkg) + continue + if '+' in installed_version: + installed_version = installed_version.split('+', 1)[0] + pkg_spec_part = re.split(r'[<>=!]', clean_pkg, maxsplit=1) + spec_str = clean_pkg[len(pkg_spec_part[0]):].strip() + if spec_str: + req_match = re.search(r'(==|!=|>=|<=|>|<)\s*(\d+\.\d+(?:\.\d+)?)', spec_str) + if req_match: + op, req_ver = req_match.groups() + req_v = self.version_tuple(req_ver, 3) + norm_match = re.match(r'^(\d+\.\d+(?:\.\d+)?)', installed_version) + short_version = norm_match.group(1) if norm_match else installed_version + installed_v = self.version_tuple(short_version, 3) + if op == '==' and installed_v != req_v: + msg = f'{pkg_name} (installed {installed_version}) != required {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + elif op == '>=' and installed_v < req_v: + msg = f'{pkg_name} (installed {installed_version}) < required {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + elif op == '<=' and installed_v > req_v: + msg = f'{pkg_name} (installed {installed_version}) > allowed {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + elif op == '>' and installed_v <= req_v: + msg = f'{pkg_name} (installed {installed_version}) <= required {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + elif op == '<' and installed_v >= req_v: + msg = f'{pkg_name} (installed {installed_version}) >= restricted {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + elif op == '!=' and installed_v == req_v: + msg = f'{pkg_name} (installed {installed_version}) == excluded {req_ver}.' + print(msg) + missing_packages.append(raw_pkg) + if missing_packages: + msg = '\nInstalling missing or upgrade packages…\n' + print(msg) + subprocess.call([sys.executable, '-m', 'pip', 'cache', 'purge']) + try: + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--upgrade', '--ignore-installed', '--no-deps', '--root-user-action=ignore', 'pip']) + except subprocess.CalledProcessError as e: + msg = f'pip self-upgrade skipped (continuing with current pip): {e}' + print(msg) + base_cmd = [sys.executable, '-m', 'pip', 'install', '--no-cache-dir', '--root-user-action=ignore'] + try: + # batch install: one resolution over all pins at once instead of + # one pip subprocess per package. Avoids install/downgrade churn + # (an unpinned package pulling a newer transformers, later undone + # by the pinned version) and collapses the resolver's post-install + # conflict summary from N near-identical dumps down to one. + subprocess.check_call(base_cmd + missing_packages) + except subprocess.CalledProcessError: + # fallback: per-package to isolate failures. This base image ships + # some packages with no RECORD (and dirty dist-info under + # overlayfs), so the implicit uninstall during an upgrade can fail + # with uninstall-no-record-file / Errno 39. Retry without touching + # the existing install so pip just overwrites it. + for raw_pkg in missing_packages: + try: + subprocess.check_call(base_cmd + [raw_pkg]) + except subprocess.CalledProcessError: + try: + subprocess.check_call(base_cmd + ['--ignore-installed', raw_pkg]) + except subprocess.CalledProcessError as e: + msg = f'Failed to install {raw_pkg}: {e}' + print(msg) + return 1 + msg = '\nAll required packages are installed.' + print(msg) + return self.check_voices() + except Exception as e: + error = f'install_python_packages() error: {e}' + print(error) + return 1 + + def remove_obsolete_packages(self)->int: + # packages removed from requirements.txt that must also be uninstalled + # from existing envs when users update. + # unidic: replaced by unidic-lite. fugashi prefers full unidic when + # importable, but its dicdir is empty without 'python -m unidic download', + # so a leftover install breaks Japanese TTS (mecabrc not found). + obsolete_packages = ['unidic'] + try: + for pkg_name in obsolete_packages: + dicdir = None + if pkg_name == 'unidic': + try: + import unidic + dicdir = unidic.DICDIR + except (ImportError, AttributeError): + pass + try: + version(pkg_name) + except PackageNotFoundError: + continue + msg = f'Removing obsolete package {pkg_name}…' + print(msg) + try: + subprocess.check_call([sys.executable, '-m', 'pip', 'uninstall', '-y', '--root-user-action=ignore', pkg_name]) + if pkg_name == 'unidic' and dicdir: + dicdir = os.path.abspath(str(dicdir)) + if os.path.isdir(dicdir) and dicdir != os.path.abspath(os.sep): + print(f'Removing UniDic dictionary directory: {dicdir}') + shutil.rmtree(dicdir, ignore_errors=True) + except subprocess.CalledProcessError as e: + msg = f'Failed to remove obsolete package {pkg_name} (non-fatal): {e}' + print(msg) + return 0 + except Exception as e: + error = f'remove_obsolete_packages() error: {e}' + print(error) + return 0 + + def check_numpy(self)->bool: + try: + numpy_version = self.get_package_version('numpy') or None + torch_version = self.get_package_version('torch') or None + min_cpu_baseline = self.cpu_baseline + numpy_pkg = None + if torch_version is None: + return False + torch_version_base = self.version_tuple(torch_version) + if numpy_version is None: + if torch_version_base <= self.version_tuple('2.2.2'): + numpy_pkg = 'numpy<2' + elif not min_cpu_baseline: + numpy_pkg = 'numpy<2.4.0' + else: + numpy_pkg = 'numpy' + else: + numpy_version_base = self.version_tuple(numpy_version) + if torch_version_base <= self.version_tuple('2.2.2') and numpy_version_base >= self.version_tuple('2.0.0'): + numpy_pkg = 'numpy<2' + elif not min_cpu_baseline and numpy_version_base >= self.version_tuple('2.4.0'): + numpy_pkg = 'numpy<2.4.0' + if numpy_pkg is not None: + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', numpy_pkg]) + return True + except subprocess.CalledProcessError as e: + error = f'Failed to install numpy package: {e}' + print(error) + return False + except Exception as e: + error = f'Error while installing numpy package: {e}' + print(error) + return False + + def check_onnxruntime_pkg(self)->str|None: + if self.python_version >= (3, 12) and (devices['CUDA']['found'] or devices['XPU']['found'] or devices['ROCM']['found']): + subprocess.call([sys.executable, '-m', 'pip', 'uninstall', '-y', 'onnxruntime']) + return 'onnxruntime-gpu' + elif self.python_version < (3, 12) or self.system != systems['WINDOWS']: + return 'onnxruntime' + try: + import onnxruntime as ort + if 'DmlExecutionProvider' in ort.get_available_providers(): + return 'onnxruntime-directml' + except Exception as e: + error = f'check_onnxruntime_pkg(): {e}' + print(error) + try: + subprocess.call([sys.executable, '-m', 'pip', 'uninstall', '-y', 'onnxruntime']) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', 'onnxruntime-directml', 'protobuf<7']) + return None + except Exception as e: + return 'onnxruntime' + + def install_device_packages(self, device_info_str:str)->int: + + def _tag_ok(installed_tag): + # CPU index: '/whl/cpu' -> bare on macOS, '+cpu' on linux/windows; both are fine + if tag == devices['CPU']['proc']: + return installed_tag is None or installed_tag == devices['CPU']['proc'] + # MPS: installed from '/whl/cpu' on macOS arm64 -> bare wheels + if device_info['name'] == devices['MPS']['proc']: + return installed_tag is None + # ROCm Windows (TheRock): matrix key is 'rocm-rel-X.Y.Z' (kept distinct from + # the linux 'rocmX.Y' keys) but the wheel's local version drops '-rel-', + # e.g. tag='rocm-rel-7.2.1' -> '+rocm7.2.1' (optionally with a build suffix). + if device_info['name'] == devices['ROCM']['proc'] and self.system == systems['WINDOWS']: + wheel_tag = tag.replace('-rel-', '') + return installed_tag == wheel_tag or (installed_tag is not None and installed_tag.startswith(f'{wheel_tag}-')) + # CUDA, XPU, ROCm Linux, Jetson: must be exactly '+' + # (a pure hex local version means a custom/dev build -> reinstall) + return installed_tag == tag + + def _needs_reinstall(): + # torch: base version + local tag must match what we'd install for this device + if not torch_version_current_full: + return True + if torch_version_current_base != torch_version_matrix: + return True + if not _tag_ok(current_tag): + return True + # torchaudio: base version + local tag must match what we'd install for this device + torchaudio_full = self.get_package_version('torchaudio') + if not torchaudio_full: + return True + torchaudio_base = torchaudio_full.split('+', 1)[0] + if torchaudio_base != torch_version_matrix: + return True + m_ta = re.search(r'\+(.+)$', torchaudio_full) + torchaudio_tag = m_ta.group(1) if m_ta else None + if not _tag_ok(torchaudio_tag): + return True + # torchcodec: presence only (when torch >= 2.9 needs it) + if self.version_tuple(torch_version_matrix, 2) >= (2, 9) and not self.get_package_version('torchcodec'): + return True + return False + + def _probe_gpus()->dict: + script = os.path.abspath('./detect_gpus.py') + try: + proc = subprocess.run( + [sys.executable, script], + capture_output=True, text=True, timeout=30, + ) + if proc.returncode != 0: + return {'count': 0, 'backend': None, 'error': proc.stderr.strip() or 'non-zero exit'} + return json.loads(proc.stdout.strip() or '{}') + except (subprocess.TimeoutExpired, json.JSONDecodeError, OSError) as e: + return {'count': 0, 'backend': None, 'error': str(e)} + + try: + if device_info_str: + device_info = json.loads(device_info_str) + if device_info: + msg = f'---> Hardware detected: {device_info}' + print(msg) + tag = device_info.get('tag') + if tag in ['unknown','unsupported']: + return 0 + key = 'last' if self.python_version >= (3, 12) else 'base' + torch_version_matrix = torch_matrix[tag].get(key) or torch_matrix[tag]['base'] + torchcodec_version_matrix = torch_matrix[tag]['codec'] + # macOS Intel was dropped from torch wheels after 2.2.2 — pin it before + # any version comparison happens, otherwise _needs_reinstall() compares + # against the matrix's 'last' and triggers an unnecessary reinstall. + if device_info['os'] == 'macosx_11_0' and device_info['arch'] == archs['X86_64']: + torch_version_matrix = '2.2.2' + torchcodec_version_matrix = '' # 2.2.2 < 2.9, no torchcodec + torch_version_current_full = self.get_package_version('torch') + torch_version_current_base = None + current_tag = None + non_standard_tag = None + if torch_version_current_full: + m = re.search(r'\+(.+)$', torch_version_current_full) + current_tag = m.group(1) if m else None + non_standard_match = re.fullmatch(r'[0-9a-f]{7,40}', current_tag) if current_tag is not None else None + non_standard_tag = non_standard_match.group(0) if non_standard_match else None + torch_version_current_base = torch_version_current_full.split('+',1)[0] + if _needs_reinstall(): + try: + msg = f"Installing the right library packages for {device_info['name']}…" + print(msg) + os_env = device_info['os'] + arch = device_info['arch'] + toolkit_version = ''.join(c for c in tag if c.isdigit()) + tag_dir = tag + py_major, py_minor = device_info['pyvenv'] + tag_py = f'cp{py_major}{py_minor}' + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', 'filelock', 'typing-extensions', 'jinja2', 'fsspec', 'networkx', 'sympy']) + if device_info['name'] == devices['JETSON']['proc']: + url = default_jetson_url + torch_pkg = f"{url}/torch-v{toolkit_version}/torch-{torch_version_matrix}%2B{tag}-{tag_py}-{tag_py}-{os_env}_{arch}.whl" + torchaudio_pkg = f"{url}/torchaudio-v{toolkit_version}/torchaudio-{torch_version_matrix}%2B{tag}-{tag_py}-{tag_py}-{os_env}_{arch}.whl" + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', torch_pkg]) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', torchaudio_pkg]) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', 'scikit-learn']) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', 'scipy']) + elif device_info['name'] == devices['ROCM']['proc'] and self.system == systems['WINDOWS']: + url = default_pytorch_amd_url + norm_tag = tag.replace('-rel-', '') + # rocm_sdk is required by torch ROCm wheels on Windows; install it first if missing + import importlib.util + if importlib.util.find_spec('rocm_sdk') is None: + rocm_ver = tag[len('rocm-rel-'):] if tag.startswith('rocm-rel-') else tag + sdk_pkgs = [ + f'{url}/{tag}/rocm_sdk_core-{rocm_ver}-py3-none-{os_env}_{arch}.whl', + f'{url}/{tag}/rocm_sdk_devel-{rocm_ver}-py3-none-{os_env}_{arch}.whl', + f'{url}/{tag}/rocm_sdk_libraries_custom-{rocm_ver}-py3-none-{os_env}_{arch}.whl', + f'{url}/{tag}/rocm-{rocm_ver}.tar.gz', + ] + msg = f'Installing ROCm SDK {rocm_ver}…' + print(msg) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', *sdk_pkgs]) + torch_pkg = f'{url}/{tag}/torch-{torch_version_matrix}%2B{norm_tag}-{tag_py}-{tag_py}-{os_env}_{arch}.whl' + torchaudio_pkg = f'{url}/{tag}/torchaudio-{torch_version_matrix}%2B{norm_tag}-{tag_py}-{tag_py}-{os_env}_{arch}.whl' + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', torch_pkg, torchaudio_pkg]) + else: + url = default_pytorch_url + tag_dir = 'cpu' if device_info['name'] == devices['MPS']['proc'] else tag + torch_req = [f'torch=={torch_version_matrix}', f'torchaudio=={torch_version_matrix}', '--index-url', f'{url}/{tag_dir}'] + # Force only the torch/torchaudio wheels (variant override) with no + # uninstall step, then a plain resolve pass to pull just the missing + # CUDA deps. Already-correct nvidia-* wheels are left as-is — pip's + # default only-if-needed strategy won't re-download or re-uninstall them. + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', *torch_req]) + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--no-cache-dir', *torch_req]) + if self.version_tuple(torch_version_matrix, 2) >= (2, 9): + is_cpu_aarch64_linux = ( + tag == devices['CPU']['proc'] + and device_info['os'] in ('manylinux_2_28', 'linux') + and device_info['arch'] == archs['AARCH64'] + ) + has_native_codec = ( + device_info['name'] == devices['CUDA']['proc'] + and self.system != systems['WINDOWS'] + ) or tag == devices['CPU']['proc'] + if is_cpu_aarch64_linux: + torchcodec_index_url = f"{default_torchcodec_arm_url}/torchcodec-{arch}-{tag_py}/torchcodec-{torchcodec_version_matrix}%2B{tag}-{tag_py}-{tag_py}-{os_env}_{arch}.whl" + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', torchcodec_index_url]) + else: + if has_native_codec: + torchcodec_index_url = f'{default_pytorch_url}/{tag_dir}' + else: + torchcodec_index_url = f'{default_pytorch_url}/cpu' + subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--ignore-installed', '--no-cache-dir', '--no-deps', f'torchcodec=={torchcodec_version_matrix}', '--index-url', torchcodec_index_url]) + except subprocess.CalledProcessError as e: + error = f'Failed to install torch package: {e}' + print(error) + return 1 + except Exception as e: + error = f'Error while installing torch package: {e}' + print(error) + return 1 + if device_info['os'] == 'linux' and ('jetpack' in device_info.get('note', '').lower() or device_info['name'] == devices['JETSON']['proc']): + libgomp_src = '/usr/lib/aarch64-linux-gnu/libgomp.so' + if os.path.exists(libgomp_src): + libs_list = ['ctranslate2.libs', 'scikit_learn.libs'] + libs_dir = os.path.join('python_env', 'lib', f'python{sys.version_info.major}.{sys.version_info.minor}', 'site-packages') + for lib in libs_list: + lib_path = os.path.join(libs_dir, lib) + if os.path.isdir(lib_path): + for libgomp_dst in glob(os.path.join(lib_path, 'libgomp*')): + if os.path.islink(libgomp_dst): + if os.path.realpath(libgomp_dst) == os.path.realpath(libgomp_src): + continue + os.unlink(libgomp_dst) + else: + os.unlink(libgomp_dst) + msg = 'Create symlink to use OS libgomp.' + print(msg) + os.symlink(libgomp_src, libgomp_dst) + if not self.check_numpy(): + return 1 + gpu_info = _probe_gpus() + device_info_dict['gpu_count'] = gpu_info['count'] + device_info_dict['gpu_backend'] = gpu_info['backend'] + if gpu_info.get('error'): + error = f'GPU detection warning: {gpu_info["error"]}' + print(error) + if gpu_info['count'] > 0: + idx = ','.join(str(i) for i in range(gpu_info['count'])) + if gpu_info['backend'] == 'cuda': + os.environ['CUDA_VISIBLE_DEVICES'] = idx + elif gpu_info['backend'] == 'rocm': + os.environ['HIP_VISIBLE_DEVICES'] = idx + elif gpu_info['backend'] == 'xpu': + os.environ['ONEAPI_DEVICE_SELECTOR'] = f'level_zero:{idx}' + os.environ['ZE_AFFINITY_MASK'] = idx + return 0 + else: + error = 'install_device_packages() error: json.loads() could not decode device_info_str' + print(error) + else: + error = 'install_device_packages() error: device_info_str is empty' + print(error) + return 1 + except Exception as e: + error = f'install_device_packages() error: {e}' + print(error) + return 1 + + def check_voices(self)->int: + from pathlib import Path, PurePosixPath + from urllib.parse import urlparse, unquote + import zipfile + from huggingface_hub import hf_hub_download + from tqdm import tqdm + voices_dir:Path = Path('./voices') + def has_wav()->bool: + return any(voices_dir.rglob('*.wav')) + try: + voices_dir.mkdir(parents=True, exist_ok=True) + if has_wav(): + return 0 + parts:tuple = PurePosixPath(unquote(urlparse(voices_url).path)).parts + i:int = parts.index('datasets') + repo_id:str = f"{parts[i+1]}/{parts[i+2]}" + r:int = parts.index('resolve') + filename:str = '/'.join(parts[r+2:]) + zip_path:Path = Path(hf_hub_download(repo_id=repo_id, filename=filename, repo_type='dataset', local_dir='.')) + print(f'Downloaded {zip_path.stat().st_size / (1024*1024):.1f} MB to {zip_path}') + with zipfile.ZipFile(zip_path, 'r') as zf: + members:list = zf.infolist() + desc:str = 'Extracting voices' + for member in tqdm(members, desc=desc, unit='file'): + zf.extract(member, './') + zip_path.unlink() + return 0 if has_wav() else 1 + except Exception as e: + error:str = f'check_voices() error: {e}' + print(error) + return 1 \ No newline at end of file diff --git a/lib/classes/non_text_filter.py b/lib/classes/non_text_filter.py new file mode 100644 index 0000000..4c9e03e --- /dev/null +++ b/lib/classes/non_text_filter.py @@ -0,0 +1,248 @@ +import regex as re +import unicodedata + +from typing import Optional +from lib.conf_lang import punctuation_split_hard_set, punctuation_list_set, chars_remove, emojis_list, language_math_phonemes + +class NonTextFilter: + + '''Strip non-prose content (math, code, equations, chem formulas, urls, emoji) + while preserving prose, numbers, dates, currencies, SML tags, and math + symbols covered by language_math_phonemes (so the vocalizer can speak them). + Language-agnostic via conf_lang tables — covers Latin, Cyrillic, Arabic, CJK, + Indic, Ethiopic, Tibetan, Khmer, Thai, Hebrew, Lao scripts. Works for all + supported languages: math symbols are preserved using the global union of + language_math_phonemes, then vocalized per-language (or via fallback) by + math2words downstream. + Stateless during filter(); safe to share across threads/processes. + ''' + + _NO_SPACE_LANGS = frozenset({'zho', 'jpn', 'kor', 'tha', 'lao', 'mya', 'khm', 'bod'}) + + _NO_SPACE_RANGES = [ + (0x0E00, 0x0E7F), # Thai + (0x0E80, 0x0EFF), # Lao + (0x1000, 0x109F), # Myanmar + (0x1780, 0x17FF), # Khmer + (0x0F00, 0x0FFF), # Tibetan + (0x4E00, 0x9FFF), # CJK unified + (0x3040, 0x309F), # Hiragana + (0x30A0, 0x30FF), # Katakana + (0xAC00, 0xD7AF), # Hangul + ] + + _MATH_UNICODE_RANGES = [ + (0x2070, 0x209F), # super/subscripts + (0x2100, 0x214F), # letterlike (ℝ, ℕ, ℏ, …) + (0x2190, 0x21FF), # arrows + (0x2200, 0x22FF), # math operators (∑, ∫, ∀, …) + (0x2300, 0x23FF), # misc technical + (0x25A0, 0x25FF), # geometric shapes + (0x27C0, 0x27EF), # misc math A + (0x2900, 0x297F), # supplemental arrows + (0x2980, 0x29FF), # misc math B + (0x2A00, 0x2AFF), # supplemental math operators + (0x1D400, 0x1D7FF), # math alphanumerics (𝐀, 𝛼, …) + ] + + # Global union of single-char math symbols any language can vocalize. + # Built once at import; identical for every language. math2words decides + # the actual pronunciation per-language (with eng fallback for unsupported). + _MATH_KEEP = frozenset( + k for d in language_math_phonemes.values() for k in d + if len(k) == 1 and not k.isalnum() + ) + + _SENT_TERMINATORS = ''.join(re.escape(c) for c in punctuation_split_hard_set) + _SENT_SPLIT = re.compile( + rf'(?<=[{_SENT_TERMINATORS}])\s+' + rf'|(?<=[{_SENT_TERMINATORS}])(?=\S)' + ) + + _TEXT_PUNCT = frozenset( + punctuation_list_set | {'\'', '-', '/', '%', '$', '&'} + ) + + _CHARS_REMOVE_RE = re.compile('[' + re.escape(''.join(chars_remove)) + ']') + _EMOJI_RE = re.compile('[' + ''.join(emojis_list) + ']') + + _SPECIAL_CATEGORIES = frozenset({ + 'So', # Symbol, other (☆, ♠, ☢, ⚛, …) + 'Sm', # Symbol, math (∑, ∫, ∇, …) + 'Sk', # Symbol, modifier (˄, ˅, ˆ, …) + 'Sc', # Symbol, currency + 'Co', # Private use area + 'Cn', # Unassigned + 'Cf', # Format chars (ZWJ, ZWNJ, BOM) + }) + _KEEP_CURRENCY = frozenset('$€£¥₹₽¢₩₪') + + _LATEX_BLOCK = re.compile( + r'\\begin\{(equation|align|math|displaymath|gather|multline|array|matrix)\*?\}' + r'.*?\\end\{\1\*?\}', + re.DOTALL, + ) + _LATEX_INLINE = re.compile(r'\$\$.*?\$\$|\$[^\$\n]+\$|\\\(.*?\\\)|\\\[.*?\\\]', re.DOTALL) + _CODE_FENCE = re.compile(r'```.*?```|~~~.*?~~~', re.DOTALL) + _CODE_INLINE = re.compile(r'`[^`\n]+`') + _URL = re.compile(r'https?://\S+|www\.\S+|ftp://\S+') + _FILE_PATH = re.compile(r'(?:[A-Za-z]:\\|(?<=\s)/)[\w./\\-]{3,}') + _CHEM_EQUATION = re.compile( + r'\b\d*[A-Z][a-z]?\d*(?:\s*[+\-]\s*\d*[A-Z][a-z]?\d*)*' + r'\s*(?:->|→|⇌|↔)\s*' + r'\d*[A-Z][a-z]?\d*(?:\s*[+\-]\s*\d*[A-Z][a-z]?\d*)*' + ) + _BARE_EQUATION = re.compile( + r'(?:[A-Za-z]\w*|\d+(?:\.\d+)?)' + r'(?:\s*[\(\)])?' + r'\s*[=≠≈≤≥<>]+\s*' + r'(?:[A-Za-z]\w*|\d+(?:\.\d+)?)' + r'(?:\s*[+\-*/^]\s*(?:[A-Za-z]\w*|\d+(?:\.\d+)?))*' + ) + _PLACEHOLDER_RE = re.compile(r'SMLZZ(\d+)ZZSML') + + def __init__( + self, + alpha_ratio:float = 0.75, + min_words:int = 2, + aggressive:bool = True, + sml_pattern:Optional[re.Pattern] = None, + lang:Optional[str] = None, + )->None: + ''' + alpha_ratio : min text-like density per sentence (0..1) + min_words : drop sentences with fewer alnum words (or chars*2 in + no-space scripts) than this + aggressive : also strip bare equations like 'x = y + 3' + sml_pattern : compiled re.Pattern matching SML tags to preserve + lang : ISO-639-3 code, used only for no-space-script handling. + Math symbol preservation is global (see _MATH_KEEP). + ''' + self.alpha_ratio = alpha_ratio + self.min_words = min_words + self.aggressive = aggressive + self.sml_pattern = sml_pattern + self.lang = lang + self._no_space = lang in self._NO_SPACE_LANGS if lang else None + + def filter(self, text:str)->str: + if not text: + return '' + + tags:list = [] + if self.sml_pattern is not None: + text = self._protect_tags(text, tags) + + text = self._LATEX_BLOCK.sub(' ', text) + text = self._CODE_FENCE.sub(' ', text) + text = self._LATEX_INLINE.sub(' ', text) + text = self._CODE_INLINE.sub(' ', text) + text = self._URL.sub(' ', text) + text = self._FILE_PATH.sub(' ', text) + text = self._CHEM_EQUATION.sub(' ', text) + if self.aggressive: + text = self._BARE_EQUATION.sub(' ', text) + text = self._strip_unicode_math(text) + text = self._EMOJI_RE.sub(' ', text) + text = self._CHARS_REMOVE_RE.sub(' ', text) + text = self._strip_special_chars(text) + text = self._filter_sentences(text) + + if self.sml_pattern is not None: + text = self._restore_tags(text, tags) + return re.sub(r'\s+', ' ', text).strip() + + __call__ = filter + + def filter_many(self, texts:list)->list: + return [self.filter(t) for t in texts] + + def _protect_tags(self, text:str, store:list)->str: + def repl(m:re.Match)->str: + idx = len(store) + store.append(m.group(0)) + return f'SMLZZ{idx}ZZSML' + return self.sml_pattern.sub(repl, text) + + def _restore_tags(self, text:str, store:list)->str: + return self._PLACEHOLDER_RE.sub(lambda m: store[int(m.group(1))], text) + + def _strip_unicode_math(self, s:str)->str: + ranges = self._MATH_UNICODE_RANGES + keep = self._MATH_KEEP + return ''.join( + ch for ch in s + if ch in keep or not any(lo <= ord(ch) <= hi for lo, hi in ranges) + ) + + def _strip_special_chars(self, s:str)->str: + keep_punct = self._TEXT_PUNCT + keep_currency = self._KEEP_CURRENCY + keep_math = self._MATH_KEEP + bad_cats = self._SPECIAL_CATEGORIES + out:list = [] + for ch in s: + if (ch.isspace() or ch.isalnum() + or ch in keep_punct + or ch in keep_currency + or ch in keep_math): + out.append(ch) + continue + if unicodedata.category(ch) in bad_cats: + out.append(' ') + else: + out.append(ch) + return ''.join(out) + + @staticmethod + def _is_mark(ch:str)->bool: + # Mn/Mc/Me: combining vowel signs, viramas, nukta, anusvara, etc. + # In abugida scripts (Devanagari, Bengali, Telugu, Tamil, Gujarati, + # Kannada, …) these are integral letters of a syllable, not noise, + # so they must count as prose in the text-density ratio. + return unicodedata.category(ch)[0] == 'M' + + def _detect_no_space(self, s:str)->bool: + ranges = self._NO_SPACE_RANGES + sample = [c for c in s if not c.isspace() and not c.isascii()][:30] + if not sample: + return False + hits = sum( + 1 for c in sample + if any(lo <= ord(c) <= hi for lo, hi in ranges) + ) + return hits / len(sample) > 0.5 + + def _filter_sentences(self, text:str)->str: + kept:list = [] + punct = self._TEXT_PUNCT + no_space = ( + self._no_space if self._no_space is not None + else self._detect_no_space(text) + ) + for sent in self._SENT_SPLIT.split(text): + s = sent.strip() if sent else '' + if not s: + continue + non_space = [c for c in s if not c.isspace()] + if not non_space: + continue + text_chars = sum( + 1 for c in non_space + if c.isalpha() or c.isdigit() or c in punct + or self._is_mark(c) + ) + if text_chars / len(non_space) < self.alpha_ratio: + continue + if no_space: + if not any(c.isalnum() for c in s): + continue + if sum(1 for c in s + if c.isalnum() or self._is_mark(c)) < self.min_words * 2: + continue + else: + words = [w for w in re.split(r'\s+', s) if any(c.isalnum() for c in w)] + if len(words) < self.min_words: + continue + kept.append(s) + return ' '.join(kept) diff --git a/lib/classes/redirect_console.py b/lib/classes/redirect_console.py new file mode 100644 index 0000000..219e27a --- /dev/null +++ b/lib/classes/redirect_console.py @@ -0,0 +1,46 @@ +import time +import logging + +from queue import Queue, Empty +from typing import Any + + +class RedirectConsole: + def __init__(self,log_buffer:Queue,real_output:Any): + self.log_buffer=log_buffer # Queue buffer for the log + self.real_output=real_output # Real terminal (sys.__stdout__ or sys.__stderr__) + self.setup_transformers_logger() + + def write(self,message:str)->None: + # Write to the real terminal + self.real_output.write(message) + self.real_output.flush() + self.log_buffer.put(message) + + def flush(self)->None: + self.real_output.flush() + + def isatty(self)->bool: + return self.real_output.isatty() + + def poll_logs(self,stop_event:Any)->Generator[tuple[str,str],None,None]: + logs="" + errors="" + while not stop_event.is_set() or not self.log_buffer.empty(): + try: + # Read logs from the buffer without blocking + log=self.log_buffer.get_nowait() + if "An error occurred" in log: + errors+=log # Capture error messages separately + logs+=log + except Empty: + pass # No logs in the buffer + yield logs,errors # Yield updated logs and errors + time.sleep(0.1) # Prevent tight looping + + def setup_transformers_logger(self)->None: + transformers_logger=logging.getLogger("transformers") + transformers_logger.setLevel(logging.WARNING) # Capture warnings and above + handler=logging.StreamHandler(self) + handler.setFormatter(logging.Formatter("%(message)s")) # Simplified format + transformers_logger.addHandler(handler) \ No newline at end of file diff --git a/lib/classes/std_filter.py b/lib/classes/std_filter.py new file mode 100644 index 0000000..6edd8d2 --- /dev/null +++ b/lib/classes/std_filter.py @@ -0,0 +1,27 @@ +import os, sys + +class StdoutFilter: + def __init__(self, original): + self._original = original + + def __getattr__(self, name): + return getattr(self._original, name) + + def write(self, msg): + self._original.write(msg) + + def flush(self): + self._original.flush() + +class StderrFilter: + def __init__(self, original): + self._original = original + + def __getattr__(self, name): + return getattr(self._original, name) + + def write(self, msg): + self._original.write(msg) + + def flush(self): + self._original.flush() \ No newline at end of file diff --git a/lib/classes/subprocess_pipe.py b/lib/classes/subprocess_pipe.py new file mode 100644 index 0000000..6ff6d29 --- /dev/null +++ b/lib/classes/subprocess_pipe.py @@ -0,0 +1,148 @@ +import os, re, queue, threading, subprocess, multiprocessing, sys, gradio as gr + +from collections.abc import Callable + +class SubprocessPipe: + + def __init__(self, cmd:list[str], is_gui_process:bool, total_duration:float, msg:str='Processing', on_progress:Callable[[float], None]|None=None)->None: + self.cmd = cmd + self.is_gui_process = is_gui_process + self.total_duration = total_duration + self.msg = msg + self.process = None + self._stop_requested = False + self.on_progress = on_progress + self.progress_bar = False + if self.is_gui_process: + self.progress_bar = gr.Progress(track_tqdm=False) + self.result = self._run_process() + + def _emit_progress(self, percent:float)->None: + if self.on_progress is not None: + self.on_progress(percent) + elif self.progress_bar: + self.progress_bar(percent / 100.0, desc=self.msg) + sys.stdout.write(f"\r{self.msg} - {percent:.1f}%") + sys.stdout.flush() + + def _on_complete(self)->None: + msg = f"\n{self.msg} completed!" + print(msg) + if self.progress_bar: + self.progress_bar(1.0, desc=msg) + + def _on_error(self, err:Exception)->None: + error = f"{self.msg} failed! {err}" + print(error) + if self.progress_bar: + self.progress_bar(0.0, desc=error) + + def _run_process(self)->bool: + try: + is_ffmpeg = "ffmpeg" in os.path.basename(self.cmd[0]) + if is_ffmpeg: + self.process = subprocess.Popen( + self.cmd, + stdout=subprocess.DEVNULL, + stderr=subprocess.PIPE, + bufsize=0 + ) + else: + if self.progress_bar: + self.process = subprocess.Popen( + self.cmd, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + bufsize=0 + ) + else: + self.process = subprocess.Popen( + self.cmd, + stdout=None, + stderr=None + ) + if is_ffmpeg: + time_pattern = re.compile(rb'out_time_ms=(\d+)') + last_percent = 0.0 + stderr_queue = queue.Queue() + + def read_stderr(): + try: + buffer = b'' + while True: + chunk = self.process.stderr.read(4096) + if not chunk: + break + buffer += chunk + while b'\n' in buffer: + line, buffer = buffer.split(b'\n', 1) + stderr_queue.put(line) + except Exception: + pass + finally: + stderr_queue.put(None) + + stderr_thread = threading.Thread(target=read_stderr, daemon=True) + stderr_thread.start() + + while True: + try: + line = stderr_queue.get(timeout=0.1) + except queue.Empty: + if self.process.poll() is not None: + break + continue + + if line is None: # sentinel = stderr closed + break + match = time_pattern.search(line) + if match and self.total_duration > 0: + current_time = int(match.group(1)) / 1_000_000 + percent = min((current_time / self.total_duration) * 100, 100) + if abs(percent - last_percent) >= 0.5: + self._emit_progress(percent) + last_percent = percent + elif b'progress=end' in line: + self._emit_progress(100.0) + stderr_thread.join() + else: + if self.progress_bar: + tqdm_re = re.compile(rb'(\d{1,3})%\|') + buffer = b'' + last_percent = 0.0 + while True: + chunk = self.process.stdout.read(1024) + if not chunk: + break + buffer += chunk + if b'\r' in buffer: + parts = buffer.split(b'\r') + buffer = parts[-1] + for part in parts[:-1]: + match = tqdm_re.search(part) + if match: + percent = min(float(match.group(1)), 100.0) + if percent - last_percent >= 0.5: + self._emit_progress(percent) + last_percent = percent + self.process.wait() + if self._stop_requested: + return False + elif self.process.returncode==0: + self._on_complete() + return True + else: + self._on_error(self.process.returncode) + return False + except Exception as e: + self._on_error(e) + return False + + def stop(self)->bool: + self._stop_requested=True + if self.process and self.process.poll() is None: + try: + self.process.terminate() + except Exception: + pass + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/__init__.py b/lib/classes/tts_engines/__init__.py new file mode 100644 index 0000000..d6385e2 --- /dev/null +++ b/lib/classes/tts_engines/__init__.py @@ -0,0 +1,9 @@ +from .xtts import XTTS +from .bark import Bark +from .vits import Vits +from .fairseq import Fairseq +from .tortoise import Tortoise +from .glowtts import GlowTTS +from .tacotron import Tacotron2 +from .piper import Piper +from .yourtts import YourTTS \ No newline at end of file diff --git a/lib/classes/tts_engines/bark.py b/lib/classes/tts_engines/bark.py new file mode 100644 index 0000000..55afd4f --- /dev/null +++ b/lib/classes/tts_engines/bark.py @@ -0,0 +1,242 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Bark(TTSUtils, TTSRegistry, name='bark'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {} + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + self.params['samplerate'] = model_cfg['samplerate'] + self.model_path = model_cfg['repo'] + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.fine_tuned_params = { + key.removeprefix('bark_'): cast_type(self.session[key]) + for key, cast_type in { + 'bark_text_temp': float, + 'bark_waveform_temp': float + }.items() + if self.session.get(key) is not None + } + self.engine = self.load_engine() + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + ############ TO REMOVE ONCE COQUI-TTS FIXED ################ + def _patch_bark_voice_gen(self, engine)->None: + '''Two coqui bugs in bark's voice path: + 1. _generate_voice passes a CUDA tensor to transformers' EncodecFeatureExtractor. + 2. load_voice_file uses map_location='cpu' unconditionally, then torch.cat + blows up against on-device encoded_text. + Wrap both methods to keep tensors on bark_model.device throughout. + ''' + bark_model = engine.synthesizer.tts_model + if getattr(bark_model, '_voice_gen_patched', False): + return + # --- patch 1: _generate_voice (cpu-safe processor path) --- + def _generate_voice_cpu_safe(speaker_wav): + import torch + import torchaudio + from TTS.tts.layers.bark.hubert.hubert_manager import HubertManager + from TTS.tts.layers.bark.hubert.kmeans_hubert import CustomHubert + from TTS.tts.layers.bark.hubert.tokenizer import HubertTokenizer + audio, sr = torchaudio.load(speaker_wav) + audio = torchaudio.transforms.Resample(sr, bark_model.config.sample_rate)(audio).to(bark_model.device) + inputs = bark_model.processor( + raw_audio=audio.squeeze(0).cpu(), + sampling_rate=bark_model.config.sample_rate, + return_tensors='pt' + ) + input_values = inputs['input_values'].to(bark_model.device) + padding_mask = inputs['padding_mask'].to(bark_model.device) + codes = bark_model.encodec.encode(input_values, padding_mask, bark_model.encodec_bandwidth)[0][0, 0] + hubert_manager = HubertManager() + hubert_manager.make_sure_tokenizer_installed(model_path=bark_model.config.LOCAL_MODEL_PATHS['hubert_tokenizer']) + hubert_model = CustomHubert().to(bark_model.device) + tokenizer = HubertTokenizer.load_from_checkpoint( + bark_model.config.LOCAL_MODEL_PATHS['hubert_tokenizer'], + map_location=bark_model.device + ) + with torch.inference_mode(): + semantic_vectors = hubert_model.forward(audio, input_sample_hz=bark_model.config.sample_rate) + semantic_tokens = tokenizer.get_token(semantic_vectors) + return { + 'semantic_prompt': semantic_tokens, + 'coarse_prompt': codes[:2, :], + 'fine_prompt': codes + } + bark_model._generate_voice = _generate_voice_cpu_safe + # --- patch 2: clone_voice/load_voice_file (migrate cached tensors to device) --- + orig_clone_voice = bark_model.clone_voice + def _clone_voice_on_device(speaker_wav, speaker_id=None, voice_dir=None, **kw): + voice = orig_clone_voice(speaker_wav, speaker_id=speaker_id, voice_dir=voice_dir, **kw) + import torch + for k, v in list(voice.items()): + if isinstance(v, torch.Tensor) and v.device != bark_model.device: + voice[k] = v.to(bark_model.device) + return voice + bark_model.clone_voice = _clone_voice_on_device + bark_model._voice_gen_patched = True + ################################## + + def load_engine(self)->Any: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + engine = self._load_api(self.tts_key, self.model_path, self.device) + try: + self._patch_bark_voice_gen(engine) + except Exception as e: + error = f'load_engine(): bark voice-gen patch failed: {e}' + raise RuntimeError(error) from e + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else Path(self.models[self.session['fine_tuned']]['voice']).stem + if self.speaker in default_engine_settings[self.session['tts_engine']]['voices'].keys(): + bark_dir = default_engine_settings[self.session['tts_engine']]['speakers_path'] + else: + bark_dir = os.path.join(os.path.dirname(self.params['current_voice']), 'bark') + pth_voice_dir = os.path.join(bark_dir, self.speaker) + if not os.path.exists(pth_voice_dir): + os.makedirs(pth_voice_dir, exist_ok=True) + self.engine.synthesizer.voice_dir = pth_voice_dir + self.audio_segments = [] + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if not success: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + ''' + [laughter] + [laughs] + [sighs] + [music] + [gasps] + [clears throat] + — or … for hesitations + ♪ for song lyrics + CAPITALIZATION for emphasis of a word + [MAN] and [WOMAN] to bias Bark toward male and female speakers, respectively + ''' + speaker_argument = {} + if (self.engine.speakers is not None and self.speaker not in self.engine.speakers) or self.engine.speakers is None: + bark_sr = self.engine.synthesizer.tts_model.config.sample_rate + voice_path = self.params['current_voice'] + cache_key = (voice_path, bark_sr) + resampled_wav = self.resampled_wav_cache.get(cache_key) + if resampled_wav is None or not os.path.exists(resampled_wav): + resampled_wav = self._resample_wav(voice_path, bark_sr) + self.resampled_wav_cache[cache_key] = resampled_wav + speaker_argument['speaker_wav'] = resampled_wav + try: + with torch.inference_mode(): + #with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part, + speaker=self.speaker, + voice_dir=pth_voice_dir, + **speaker_argument, + **self.fine_tuned_params + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/common/audio.py b/lib/classes/tts_engines/common/audio.py new file mode 100644 index 0000000..f5f544b --- /dev/null +++ b/lib/classes/tts_engines/common/audio.py @@ -0,0 +1,150 @@ +import os, subprocess, shutil, json + +from typing import Any, Union, TYPE_CHECKING +from lib.classes.subprocess_pipe import SubprocessPipe +from mutagen import File as MutagenFile +from mutagen.aac import AAC + + +if TYPE_CHECKING: + from torch import Tensor + +def detect_gender(voice_path:str)->str|None: + if not voice_path or not os.path.isfile(voice_path): + error = f'detect_gender() error: {voice_path} does not exist!' + print(error) + return None + try: + import numpy as np + from scipy.signal import find_peaks + from scipy.io import wavfile as wav + samplerate, signal = wav.read(voice_path) + # Ensure mono + if signal.ndim > 1: + signal = np.mean(signal, axis=1) + # FFT and positive frequency range + fft_spectrum = np.abs(np.fft.fft(signal)) + freqs = np.fft.fftfreq(len(fft_spectrum), d=1.0 / samplerate) + positive_freqs = freqs[: len(freqs) // 2] + positive_magnitude = fft_spectrum[: len(fft_spectrum) // 2] + # Peak detection (20% threshold of max amplitude) + peaks, _ = find_peaks(positive_magnitude, height=np.max(positive_magnitude) * 0.2) + if len(peaks) == 0: + return None + # Detect first strong peak within human voice pitch range (75–300 Hz) + for peak in peaks: + freq = positive_freqs[peak] + if 75.0 <= freq <= 300.0: + return "female" if freq > 135.0 else "male" + return None + except Exception as e: + error = f"detect_gender() error: {voice_path}: {e}" + print(error) + return None + +def trim_audio(audio_data: Union[list[float], 'Tensor'], samplerate: int, silence_threshold: float = 0.003, buffer_sec: float = 0.005)->'Tensor': + import torch + # Ensure audio_data is a PyTorch tensor + if isinstance(audio_data, list): + audio_data = torch.tensor(audio_data, dtype=torch.float32) + if isinstance(audio_data, torch.Tensor): + if audio_data.ndim != 1: + error = "audio_data must be a 1D tensor (mono audio)." + print(error) + return torch.tensor([], dtype=torch.float32) + if audio_data.device.type != "cpu": + audio_data = audio_data.cpu() + # Detect non-silent indices + non_silent_indices = torch.where(audio_data.abs() > silence_threshold)[0] + if len(non_silent_indices) == 0: + return torch.tensor([], dtype=audio_data.dtype) + # Calculate start and end trimming indices with buffer + start_index = max(non_silent_indices[0].item() - int(buffer_sec * samplerate), 0) + end_index = min(non_silent_indices[-1].item() + int(buffer_sec * samplerate), audio_data.size(0)) + return audio_data[start_index:end_index] + error = 'audio_data must be a PyTorch tensor or a list of numerical values.' + print(error) + return torch.tensor([], dtype=torch.float32) + +def _get_length(filepath: str) -> float: + """Return duration in seconds for a single audio file.""" + audio = MutagenFile(filepath) + if audio is None: + audio = AAC(filepath) + if audio.info is None: + raise ValueError(f"No audio info: {filepath}") + return audio.info.length + +def get_audio_duration(filepath: str) -> float: + try: + return _get_length(filepath) + except Exception as e: + print(f"get_audio_duration: {filepath}: {e}") + return 0.0 + +def get_audiolist_duration(filepaths: list[str]) -> dict[str, float]: + durations = {} + for p in filepaths: + real = os.path.realpath(p) + try: + durations[real] = _get_length(p) + except Exception as e: + print(f"get_audiolist_duration: {real}: {e}") + durations[real] = 0.0 + return durations + +def normalize_audio(input_file:str, output_file:str, samplerate:int, is_gui_process:bool)->bool: + try: + ffmpeg = shutil.which('ffmpeg') + if not ffmpeg: + error = 'ffmpeg not found' + print(error) + return False + filter_complex = ( + 'agate=threshold=-25dB:ratio=1.4:attack=10:release=250,' + 'afftdn=nf=-70,' + 'acompressor=threshold=-20dB:ratio=2:attack=80:release=200:makeup=1dB,' + 'loudnorm=I=-14:TP=-3:LRA=7:linear=true,' + 'equalizer=f=150:t=q:w=2:g=1,' + 'equalizer=f=250:t=q:w=2:g=-3,' + 'equalizer=f=3000:t=q:w=2:g=2,' + 'equalizer=f=5500:t=q:w=2:g=-4,' + 'equalizer=f=9000:t=q:w=2:g=-2,' + 'highpass=f=63[audio]' + ) + cmd = [ffmpeg, '-hide_banner', '-nostats', '-i', input_file] + cmd += [ + '-filter_complex', filter_complex, + '-map', '[audio]', + '-ar', str(samplerate), + '-y', output_file + ] + proc_pipe = SubprocessPipe( + cmd, + is_gui_process=is_gui_process, + total_duration=get_audio_duration(str(input_file)), + msg='Normalize' + ) + return proc_pipe.result + except Exception as e: + print(f'normalize_audio() error: {input_file}: {e}') + return False + +def is_audio_data_valid(audio_data:Any)->bool: + if audio_data is None: + return False + try: + import torch + if isinstance(audio_data, torch.Tensor): + return audio_data.numel() > 0 + except ImportError: + pass + if isinstance(audio_data, (list, tuple)): + return len(audio_data) > 0 + try: + import numpy as np + if isinstance(audio_data, np.ndarray): + return audio_data.size > 0 + except ImportError: + pass + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/common/headers.py b/lib/classes/tts_engines/common/headers.py new file mode 100644 index 0000000..279a6f8 --- /dev/null +++ b/lib/classes/tts_engines/common/headers.py @@ -0,0 +1,41 @@ +import sys, os, shutil, random, subprocess, uuid, wave, regex as re + +from typing import Any +from pathlib import Path +from multiprocessing.managers import DictProxy + +from lib.classes.std_filter import StderrFilter +from lib.classes.std_filter import StdoutFilter +from lib.classes.tts_registry import TTSRegistry +from lib.classes.tts_engines.common.utils import TTSUtils +from lib.conf import tts_dir, devices, default_audio_proc_format +from lib.conf_models import TTS_ENGINES, TTS_VOICE_CONVERSION, TTS_SML, SML_TAG_PATTERN, loaded_tts, default_vc_model, default_engine_settings, tts_engines_from_coqui + +__all__ = [ + "sys", + "os", + "shutil", + "random", + "subprocess", + "uuid", + "wave", + "re", + "Any", + "Path", + "DictProxy", + "StderrFilter", + "StdoutFilter", + "TTSRegistry", + "TTSUtils", + "tts_dir", + "devices", + "default_audio_proc_format", + "TTS_ENGINES", + "TTS_VOICE_CONVERSION", + "TTS_SML", + "SML_TAG_PATTERN", + "loaded_tts", + "default_vc_model", + "default_engine_settings", + "tts_engines_from_coqui" +] \ No newline at end of file diff --git a/lib/classes/tts_engines/common/preset_loader.py b/lib/classes/tts_engines/common/preset_loader.py new file mode 100644 index 0000000..eef1103 --- /dev/null +++ b/lib/classes/tts_engines/common/preset_loader.py @@ -0,0 +1,19 @@ +import importlib +import threading +from typing import Dict, Any + +_lock = threading.Lock() +_presets_cache:Dict[str, Dict[str, Any]] = {} + +def load_engine_presets(engine:str)->Dict[str, Any]: + with _lock: + if engine in _presets_cache: + return _presets_cache[engine] + try: + module = importlib.import_module(f"lib.classes.tts_engines.presets.{engine}_presets") + except Exception as e: + raise ImportError(f"Failed to import presets for engine '{engine}'") from e + if not hasattr(module, "models"): + raise RuntimeError(f"'models' not found in {engine}_presets") + _presets_cache[engine] = module.models + return module.models \ No newline at end of file diff --git a/lib/classes/tts_engines/common/utils.py b/lib/classes/tts_engines/common/utils.py new file mode 100644 index 0000000..88d1512 --- /dev/null +++ b/lib/classes/tts_engines/common/utils.py @@ -0,0 +1,753 @@ +import os, sys, threading, gc, ctypes, tempfile, regex as re + +from typing import Any, TYPE_CHECKING +from cryptography.fernet import Fernet +from pathlib import Path + +from lib.classes.vram_detector import VRAMDetector +from lib.classes.tts_engines.common.audio import normalize_audio, get_audiolist_duration, is_audio_data_valid +from lib import * + +os.environ['HF_TOKEN'] = Fernet(fernet_key.encode('utf-8')).decrypt(fernet_data).decode('utf-8') + +_lock = threading.Lock() + +if TYPE_CHECKING: + import torch + from torch import Tensor + from torch.nn import Module + from torchaudio.transforms import Resample + +def format_timestamp(seconds:float)->str: + m, s = divmod(seconds, 60) + h, m = divmod(m, 60) + return f'{int(h):02}:{int(m):02}:{s:06.3f}' + +def build_vtt_file(session:dict, vtt_path:str=None, block_indices:set=None)->tuple: + try: + import gradio as gr + from tqdm import tqdm + msg = 'VTT file creation started…' + print(msg) + if vtt_path is None: + vtt_path = os.path.join(session['process_dir'], Path(session['final_name']).stem + '.vtt') + audio_sentences_dir = Path(session['sentences_dir']) + blocks = session['blocks_current']['blocks'] + audio_files = [] + sentences_to_use = [] + for i, block in enumerate(blocks): + if not (block['keep'] and block['text'].strip()): + continue + if block_indices is not None and i not in block_indices: + continue + block_dir = audio_sentences_dir / str(block['id']) + if not block_dir.is_dir(): + error = f"Missing audio directory for block {i} (id {block['id']}): {block_dir}" + return False, error + block_sentences = block.get('sentences', []) + for sentence_idx, sentence in enumerate(block_sentences): + if not any(c.isalnum() for c in str(sentence)): + continue + audio_file = block_dir / f'{sentence_idx}.{default_audio_proc_format}' + if not audio_file.is_file(): + error = f"Missing audio file for block {i} (id {block['id']}), sentence {sentence_idx}: {audio_file}" + return False, error + audio_files.append(audio_file) + sentences_to_use.append(sentence) + audio_files_length = len(audio_files) + sentences_total_time = 0.0 + vtt_blocks = [] + if session['is_gui_process']: + progress_bar = gr.Progress(track_tqdm=False) + msg = 'Get duration of each sentence…' + print(msg) + durations = get_audiolist_duration([str(p) for p in audio_files]) + msg = 'Create VTT blocks…' + print(msg) + with tqdm(total=audio_files_length, unit='files') as t: + for idx, file in enumerate(audio_files): + start_time = sentences_total_time + duration = durations.get(os.path.realpath(file), 0.0) + end_time = start_time + duration + sentences_total_time = end_time + start = format_timestamp(start_time) + end = format_timestamp(end_time) + text = re.sub( + r'\s+', + ' ', + SML_TAG_PATTERN.sub('', str(sentences_to_use[idx])) + ).strip() + vtt_blocks.append(f'{start} --> {end}\n{text}\n') + if session['is_gui_process']: + total_progress = (t.n + 1) / audio_files_length + progress_bar( + progress=total_progress, + desc=f'Writing vtt idx {idx}' + ) + t.update(1) + msg = 'Write VTT blocks into file…' + print(msg) + with open(vtt_path, 'w', encoding='utf-8') as f: + f.write('WEBVTT\n\n') + f.write('\n'.join(vtt_blocks)) + return True, None + except Exception as e: + error = f'build_vtt_file(): {e}' + return False, error + +class TTSUtils: + + def cleanup_memory(self)->None: + import torch + gc.collect() + if hasattr(torch, 'clear_autocast_cache'): + torch.clear_autocast_cache() + if sys.platform == systems['LINUX']: + try: + libc = ctypes.CDLL('libc.so.6') + libc.malloc_trim(0) + except Exception: + pass + elif sys.platform == systems['WINDOWS']: + try: + kernel32 = ctypes.windll.kernel32 + handle = kernel32.GetCurrentProcess() + kernel32.SetProcessWorkingSetSize( + handle, ctypes.c_size_t(-1), ctypes.c_size_t(-1) + ) + except Exception: + pass + if torch.cuda.is_available(): + torch.cuda.ipc_collect() + torch.cuda.synchronize() + torch.cuda.empty_cache() + if hasattr(torch, 'xpu') and torch.xpu.is_available(): + torch.xpu.synchronize() + torch.xpu.empty_cache() + + def _try_dml(self, engine:Any, checkpoint_path:str)->None: + try: + import onnxruntime as ort + if 'DmlExecutionProvider' not in ort.get_available_providers(): + return + sess_options = ort.SessionOptions() + sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL + sess_options.intra_op_num_threads = 1 + providers = [('DmlExecutionProvider', {"device_id": 0}), 'CPUExecutionProvider'] + sess = ort.InferenceSession(str(checkpoint_path), sess_options=sess_options, providers=providers) + engine.session = sess + active = sess.get_providers() + on_gpu = 'DmlExecutionProvider' in active + msg = f'Piper: running on GPU via DirectML — {active}' if on_gpu else f'Piper: DirectML not engaged, providers={active}' + print(msg) + except Exception as e: + error = f'_try_dml(): DirectML GPU path unavailable ({e!r}); ONNX will run on CPU.' + print(error) + + def _model_size_bytes(self, model:Any)->int: + total = 0 + try: + for p in model.parameters(): + total += p.numel() * p.element_size() + except Exception: + pass + try: + for b in model.buffers(): + total += b.numel() * b.element_size() + except Exception: + pass + return total + + def _loaded_tts_size_gb(self, loaded_tts:dict[str, 'Module'])->float: + total_bytes = 0 + for model in loaded_tts.values(): + try: + total_bytes += self._model_size_bytes(model) + except Exception: + pass + gb = total_bytes / (1024 ** 3) + return round(gb, 2) + + def _load_xtts_builtin_list(self)->dict: + try: + import torch + from huggingface_hub import hf_hub_download + if len(xtts_builtin_speakers_list) > 0: + return xtts_builtin_speakers_list + speakers_path = hf_hub_download(repo_id=default_engine_settings[TTS_ENGINES['XTTS']]['repo'], filename='speakers_xtts.pth', cache_dir=tts_dir) + loaded = torch.load(speakers_path, weights_only=False) + if not isinstance(loaded, dict): + error = f'Invalid XTTS speakers format: {type(loaded)}' + raise TypeError(error) + for name, data in loaded.items(): + if name not in xtts_builtin_speakers_list: + xtts_builtin_speakers_list[name] = data + return xtts_builtin_speakers_list + except Exception as e: + error = f'self._load_xtts_builtin_list() failed: {e}' + raise RuntimeError(error) + + def _apply_gpu_policy(self, enough_vram:bool, seed:int)->'torch.dtype': + import torch + using_gpu = self.session['device'] != devices['CPU']['proc'] + device = self.session['device'] + #torch.manual_seed(seed) + has_cuda = hasattr(torch, 'cuda') and torch.cuda.is_available() + has_mps = hasattr(torch.backends, 'mps') and torch.backends.mps.is_available() + has_xpu = hasattr(torch, 'xpu') and torch.xpu.is_available() + is_rocm = bool(getattr(torch.version, 'hip', None)) + is_cuda = bool(getattr(torch.version, 'cuda', None)) and not is_rocm + quality_mode = bool(using_gpu and enough_vram) + amp_dtype = torch.float32 # float32 means: caller should NOT wrap in autocast + # Default matmul precision (PyTorch >= 2.2) + try: + torch.set_float32_matmul_precision('high' if quality_mode else 'medium') + except Exception: + pass + if not using_gpu: + return amp_dtype + if has_cuda: + # --- CUDA health check: force lazy init, fail fast on a broken context --- + try: + #torch.cuda.manual_seed_all(seed) + torch.cuda.current_device() + except Exception as e: + error = f'[_apply_gpu_policy] CUDA init failed ({e!r}), falling back to FP32' + print(error) + return torch.float32 + # --- Device info (fetched once) --- + try: + cc = torch.cuda.get_device_capability(0) + cc_major = cc[0] + except Exception: + cc = (0, 0) + cc_major = 0 + # Detect Jetson (ARM + CUDA) + is_jetson = False + try: + import platform + is_jetson = is_cuda and platform.machine() in ('aarch64', 'arm64') + except Exception: + is_jetson = False + amp_dtype = torch.float16 + # cuDNN base config — benchmark=True is bad for TTS (variable-length inputs) + if hasattr(torch.backends, 'cudnn'): + try: + torch.backends.cudnn.enabled = True + torch.backends.cudnn.benchmark = False + torch.backends.cudnn.deterministic = False + except Exception: + pass + # TF32 — Ampere+, non-Jetson, non-ROCm, quality mode only + tf32_ok = bool( + is_cuda and not is_jetson and not is_rocm + and cc_major >= 8 and quality_mode + ) + # SDP attention — flash is Ampere+, mem-efficient is Volta+, math always on + if hasattr(torch.backends, 'cuda'): + try: + torch.backends.cuda.enable_flash_sdp(cc_major >= 8) + torch.backends.cuda.enable_mem_efficient_sdp(cc_major >= 7) + torch.backends.cuda.enable_math_sdp(True) + except Exception: + pass + # Matmul / cuDNN flags + if hasattr(torch.backends, 'cuda') and hasattr(torch.backends.cuda, 'matmul'): + try: + torch.backends.cuda.matmul.allow_tf32 = tf32_ok + # Reduced-precision reduction is only safe on Ampere+ tensor cores. + torch.backends.cuda.matmul.allow_fp16_reduced_precision_reduction = ( + bool(quality_mode) and cc_major >= 8 + ) + except Exception: + pass + if hasattr(torch.backends, 'cudnn'): + try: + torch.backends.cudnn.allow_tf32 = tf32_ok + except Exception: + pass + return amp_dtype + # ================= Apple MPS ================= + if has_mps: + #torch.mps.manual_seed(seed) + amp_dtype = torch.float16 + return amp_dtype + # ================= Intel XPU ================= + if has_xpu: + #try: + # torch.xpu.manual_seed_all(seed) + #except Exception: + # try: + # torch.xpu.manual_seed(seed) + # except Exception: + # pass + return torch.bfloat16 + return amp_dtype + + def _load_api(self, key:str, model_path:str, device:str)->Any: + try: + with _lock: + from TTS.api import TTS as TTSEngine + import torch + import torch.nn as nn + engine = loaded_tts.get(key) + target_dev = torch.device(device) + is_accel = target_dev.type != 'cpu' + if not engine: + engine = TTSEngine(model_path).to(device) + if not engine: + raise RuntimeError('TTSEngine returned None') + for syn_attr in ('synthesizer', 'voice_converter'): + syn = getattr(engine, syn_attr, None) + if syn is None: + continue + syn.use_cuda = is_accel + for _, m in syn.named_modules(): + m.to(device) + m.eval() + for pname, p in list(m.named_parameters(recurse=False)): + if p.device != target_dev: + with torch.no_grad(): + new_p = nn.Parameter(p.data.to(device), requires_grad=p.requires_grad) + setattr(m, pname, new_p) + for bname, b in list(m.named_buffers(recurse=False)): + if b.device != target_dev: + persistent = bname not in m._non_persistent_buffers_set + m.register_buffer(bname, b.to(device), persistent=persistent) + vram_dict = VRAMDetector().detect_vram(self.session['device'], self.session['script_mode']) + self.session['free_vram_gb'] = vram_dict.get('free_vram_gb', 0) + models_loaded_size_gb = self._loaded_tts_size_gb(loaded_tts) + if self.session['free_vram_gb'] > models_loaded_size_gb: + loaded_tts[key] = engine + return engine + except Exception as e: + error = f'_load_api() error: {e}' + print(error) + raise + + def _load_checkpoint(self,**kwargs:Any)->Any: + try: + with _lock: + key = kwargs.get('key') + device = kwargs.get('device', 'cpu') + engine_name = kwargs.get('tts_engine', None) + checkpoint_path = kwargs.get('checkpoint_path') + config_path = kwargs.get('config_path', None) + vocab_path = kwargs.get('vocab_path', None) + if engine_name == TTS_ENGINES['PIPER']: + from piper import PiperVoice + from piper.download_voices import download_voice + engine = loaded_tts.get(key, False) + if engine: + return engine + if self.session['custom_model'] is None: + download_voice(Path(self.model_path).stem, Path(self.model_path)) + use_cuda = device == devices['CUDA']['proc'] + engine = PiperVoice.load(checkpoint_path, config_path=config_path, use_cuda=use_cuda) + if device == devices['CPU']['proc']: + self._try_dml(engine, checkpoint_path) + elif engine_name in tts_engines_from_coqui: + import torch + import torch.nn as nn + engine = loaded_tts.get(key, False) + target_dev = torch.device(device) + is_accel = target_dev.type != 'cpu' + if not engine: + if not checkpoint_path or not os.path.exists(checkpoint_path): + error = f'Missing or invalid checkpoint_path: {checkpoint_path}' + raise FileNotFoundError(error) + if not config_path or not os.path.exists(config_path): + error = f'Missing or invalid config_path: {config_path}' + raise FileNotFoundError(error) + if engine_name == TTS_ENGINES['XTTS']: + from TTS.tts.configs.xtts_config import XttsConfig + from TTS.tts.models.xtts import Xtts + config = XttsConfig() + config.models_dir = os.path.join('models','tts') + config.load_json(config_path) + engine = Xtts.init_from_config(config) + engine.load_checkpoint( + config, + checkpoint_path = checkpoint_path, + vocab_path = vocab_path, + eval = True + ) + elif engine_name == TTS_ENGINES['VITS']: + from TTS.api import TTS as TTSEngine + engine = TTSEngine(model_path=checkpoint_path, config_path=config_path, progress_bar=False) + elif engine_name == TTS_ENGINES['FAIRSEQ']: + from TTS.utils.synthesizer import Synthesizer + if not vocab_path or not os.path.exists(vocab_path): + error = f'Missing or invalid vocab_path: {vocab_path}' + raise FileNotFoundError(error) + custom_dir = os.path.dirname(checkpoint_path) + syn = Synthesizer(model_dir=custom_dir, use_cuda=is_accel) + class _FairseqEngine(nn.Module): + def __init__(self, synthesizer:'Synthesizer'): + super().__init__() + self.synthesizer = synthesizer + self.output_sample_rate = synthesizer.output_sample_rate + def tts(self, text:str, **_:Any)->Any: + return self.synthesizer.tts(text) + def tts_to_file(self, text:str, file_path:str, **_:Any)->str: + wav = self.synthesizer.tts(text) + self.synthesizer.save_wav(wav, file_path) + return file_path + engine = _FairseqEngine(syn) + else: + error = f'_load_checkpoint(): unsupported tts_engine {engine_name}' + raise ValueError(error) + if engine: + engine.to(device) + engine.eval() + ## Walk the actual weight-bearing module(s). + ## XTTS / fairseq shim: engine itself is an nn.Module that owns the params. + ## VITS via TTS API: weights live inside engine.synthesizer (TTS class doesn't register it as a submodule). + walk_targets = [] + syn = getattr(engine, 'synthesizer', None) + if syn is not None: + syn.use_cuda = is_accel + walk_targets.append(syn) + else: + walk_targets.append(engine) + for tgt in walk_targets: + for _, m in tgt.named_modules(): + m.to(device) + m.eval() + for pname, p in list(m.named_parameters(recurse=False)): + if p.device != target_dev: + with torch.no_grad(): + new_p = nn.Parameter(p.data.to(device), requires_grad=p.requires_grad) + setattr(m, pname, new_p) + for bname, b in list(m.named_buffers(recurse=False)): + if b.device != target_dev: + persistent = bname not in m._non_persistent_buffers_set + m.register_buffer(bname, b.to(device), persistent=persistent) + vram_dict = VRAMDetector().detect_vram(self.session['device'], self.session['script_mode']) + self.session['free_vram_gb'] = vram_dict.get('free_vram_gb', 0) + models_loaded_size_gb = self._loaded_tts_size_gb(loaded_tts) + if self.session['free_vram_gb'] > models_loaded_size_gb: + loaded_tts[key] = engine + return engine + except Exception as e: + error = f'_load_checkpoint() error: {e}' + print(error) + raise + + def _load_engine_zs(self, device:str)->Any: + try: + msg = f'Loading ZeroShot {self.tts_zs_key} model, it takes a while, please be patient…' + print(msg) + self.cleanup_memory() + engine_zs = loaded_tts.get(self.tts_zs_key, False) + if not engine_zs: + engine_zs = self._load_api(self.tts_zs_key, default_vc_model, device) + if engine_zs: + self.session['model_zs_cache'] = self.tts_zs_key + msg = f'ZeroShot {self.tts_zs_key} Loaded!' + return engine_zs + except Exception as e: + error = f'_load_engine_zs() error: {e}' + raise ValueError(error) + + def _check_xtts_builtin_speakers(self, current_voice:str, speaker:str)->str|bool: + new_current_voice = '' + proc_current_voice = '' + try: + import torch + import torchaudio + import numpy as np + from huggingface_hub import hf_hub_download + voice_parts = Path(current_voice).parts + if (self.language in voice_parts or speaker in default_engine_settings[TTS_ENGINES['BARK']]['voices'] or self.language == 'eng'): + if os.path.exists(current_voice): + return current_voice + xtts = TTS_ENGINES['XTTS'] + if self.language in default_engine_settings[xtts].get('languages', {}): + default_text_file = os.path.join(voices_dir, self.language, 'default.txt') + if os.path.exists(default_text_file): + msg = f"Converting builtin eng voice to {self.language}…" + print(msg) + key = f'{xtts}-internal' + default_text = Path(default_text_file).read_text(encoding='utf-8') + self.cleanup_memory() + engine = loaded_tts.get(key, False) + if not engine: + vram_dict = VRAMDetector().detect_vram(self.session['device'], self.session['script_mode']) + self.session['free_vram_gb'] = vram_dict.get('free_vram_gb', 0) + models_loaded_size_gb = self._loaded_tts_size_gb(loaded_tts) + if self.session['free_vram_gb'] <= models_loaded_size_gb: + del loaded_tts[self.tts_key] + hf_repo = default_engine_settings[xtts]['repo'] + hf_sub = '' + config_path = hf_hub_download(repo_id=hf_repo, filename=f"{hf_sub}{default_engine_settings[xtts]['files'][0]}", cache_dir=self.cache_dir) + checkpoint_path = hf_hub_download(repo_id=hf_repo, filename=f"{hf_sub}{default_engine_settings[xtts]['files'][1]}", cache_dir=self.cache_dir) + vocab_path = hf_hub_download(repo_id=hf_repo, filename=f"{hf_sub}{default_engine_settings[xtts]['files'][2]}", cache_dir=self.cache_dir) + engine = self._load_checkpoint(tts_engine=xtts, key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path) + if engine: + device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + if speaker in default_engine_settings[xtts]['voices'].keys(): + gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[xtts]['voices'][speaker]].values() + else: + gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[current_voice], load_sr=24000, sound_norm_refs=True) + fine_tuned_params = { + key.removeprefix('xtts_'): cast_type(self.session[key]) + for key, cast_type in { + 'xtts_temperature': float, + #'xtts_codec_temperature': float, + 'xtts_length_penalty': float, + 'xtts_num_beams': int, + 'xtts_repetition_penalty': float, + #'xtts_cvvp_weight': float, + 'xtts_top_k': int, + 'xtts_top_p': float, + 'xtts_speed': float, + #'xtts_gpt_cond_len': int, + #'xtts_gpt_batch_size': int, + 'xtts_enable_text_splitting': bool + }.items() + if self.session.get(key) is not None + } + engine.to(device) + with torch.no_grad(): + with torch.autocast(device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + result = engine.inference( + text=default_text.strip(), + language=self.language_iso1, + gpt_cond_latent=gpt_cond_latent, + speaker_embedding=speaker_embedding, + **fine_tuned_params, + ) + engine.to(devices['CPU']['proc']) + audio_sentence = result.get('wav') + if torch.is_tensor(audio_sentence): + audio_sentence = audio_sentence.detach().cpu() + if is_audio_data_valid(audio_sentence): + sourceTensor = self._tensor_type(audio_sentence) + audio_tensor = sourceTensor.clone().detach().unsqueeze(0).cpu() + if audio_tensor is not None and audio_tensor.numel() > 0: + # CON is a reserved name on windows + lang_dir = 'con-' if self.language == 'con' else self.language + # Rebuild the path under the new language folder. + # Works for any old-language → any new-language swap (eng→fra, zho→fra, …), + # not just eng→X. xtts voices are always absolute paths under voices_dir. + voices_root = Path(voices_dir) + try: + rel = Path(current_voice).relative_to(voices_root) + except ValueError: + error = f'_check_xtts_builtin_speakers() error: {current_voice} is not under {voices_dir}' + print(error) + return False + if len(rel.parts) < 2: + error = f'_check_xtts_builtin_speakers() error: unexpected voice layout for {current_voice}' + print(error) + return False + new_current_voice = str(voices_root.joinpath(lang_dir, *rel.parts[1:])) + os.makedirs(os.path.dirname(new_current_voice), exist_ok=True) + proc_current_voice = new_current_voice.replace('.wav', '_temp.wav') + #torchaudio.save(proc_current_voice, audio_tensor, default_engine_settings[xtts]['samplerate']) + if not self.audio_save(proc_current_voice, audio_tensor, default_engine_settings[xtts]['samplerate']): + error = f'audio_save() error: cannot save {proc_current_voice}' + print(error) + Path(proc_current_voice).unlink(missing_ok=True) + return False + if normalize_audio(proc_current_voice, new_current_voice, default_audio_proc_samplerate, self.session['is_gui_process']): + del audio_sentence, sourceTensor, audio_tensor + Path(proc_current_voice).unlink(missing_ok=True) + gc.collect() + self.engine = loaded_tts.get(self.tts_key, False) + if not self.engine: + self._load_engine() + return new_current_voice + else: + error = 'normalize_audio() error:' + else: + error = f'No audio waveform found in _check_xtts_builtin_speakers() result: {result}' + else: + error = f'_check_xtts_builtin_speakers() error: {xtts} is False' + else: + error = f'The translated {default_text_file} could not be found! Voice cloning file will stay in English.' + print(error) + else: + return current_voice + except Exception as e: + error = f'_check_xtts_builtin_speakers() error: {e}' + if new_current_voice: + Path(new_current_voice).unlink(missing_ok=True) + if proc_current_voice: + Path(proc_current_voice).unlink(missing_ok=True) + print(error) + return False + + def _tensor_type(self,audio_data:Any)->'Tensor': + import torch + import numpy as np + if isinstance(audio_data, torch.Tensor): + return audio_data + elif isinstance(audio_data,np.ndarray): + return torch.from_numpy(audio_data).float() + elif isinstance(audio_data,list): + return torch.tensor(audio_data,dtype=torch.float32) + else: + raise TypeError(f'_tensor_type() error: Unsupported type for audio_data: {type(audio_data)}') + + def _get_resampler(self, orig_sr:int, target_sr:int, device:'torch.device|str'='cpu')->'Resample': + import torch + import torchaudio + dev = torch.device(device) if not isinstance(device, torch.device) else device + key = (orig_sr, target_sr, str(dev)) + if key not in self.resampler_cache: + resampler = torchaudio.transforms.Resample( + orig_freq = orig_sr, new_freq = target_sr + ).to(dev) + resampler.eval() + self.resampler_cache[key] = resampler + return self.resampler_cache[key] + + def _resample_wav(self, wav_path:str, expected_sr:int)->str: + import soundfile as sf + import torch + data, orig_sr = sf.read(wav_path, dtype='float32', always_2d=True) + waveform = torch.from_numpy(data.T).contiguous() + if orig_sr==expected_sr and waveform.size(0)==1: + return wav_path + if waveform.size(0)>1: + waveform = waveform.mean(dim=0, keepdim=True) + if orig_sr!=expected_sr: + resampler = self._get_resampler(orig_sr, expected_sr, waveform.device) + waveform = resampler(waveform) + wav_tensor = waveform.squeeze(0) + wav_numpy = wav_tensor.cpu().numpy() + resample_tmp = os.path.join(self.session['process_dir'], 'tmp') + os.makedirs(resample_tmp, exist_ok=True) + tmp_fh = tempfile.NamedTemporaryFile(dir=resample_tmp, suffix='.wav', delete=False) + tmp_path = tmp_fh.name + tmp_fh.close() + sf.write(tmp_path, wav_numpy, expected_sr, subtype='PCM_16') + return tmp_path + + def _resample_audiodata(self, wav_data, source_sr:int, expected_sr:int)->Any: + import torch + import numpy as np + if isinstance(wav_data, list): + wav_data = np.asarray(wav_data, dtype=np.float32) + if isinstance(wav_data, np.ndarray): + waveform = torch.from_numpy(wav_data).float() + elif isinstance(wav_data, torch.Tensor): + waveform = wav_data.float() + else: + raise TypeError(f'unsupported wav_data type: {type(wav_data)}') + if waveform.ndim==1: + waveform = waveform.unsqueeze(0) + if waveform.size(0)>1: + waveform = waveform.mean(dim=0, keepdim=True) + if source_sr!=expected_sr: + resampler = self._get_resampler(source_sr, expected_sr, waveform.device) + waveform = resampler(waveform) + return waveform.squeeze(0).cpu().numpy() + + def _set_voice(self, voice:str|None)->tuple: + current_voice = (voice if voice is not None else self.models[self.session['fine_tuned']]['voice']) + if current_voice is None: + if self.session['custom_model'] is not None: + voice_file = f"{Path(self.session['custom_model']).stem}.wav" + current_voice = os.path.join(self.session['custom_model'], voice_file) + else: + speaker = Path(current_voice).stem + if( + (speaker not in {k for engine in default_engine_settings.values() for k in engine['voices']}) and + (self.session['custom_model_dir'] not in current_voice) + ): + current_voice = self._check_xtts_builtin_speakers(current_voice, speaker) + if not current_voice: + error = f"_set_voice() error: Could not create the builtin speaker selected voice in {self.language}" + return None, error + return current_voice, None + + def _split_sentence_on_sml(self, sentence:str)->list[str]: + parts:list[str] = [] + last = 0 + for m in SML_TAG_PATTERN.finditer(sentence): + start, end = m.span() + if start > last: + text = sentence[last:start] + if text: + parts.append(text) + parts.append(m.group(0)) + last = end + if last < len(sentence): + tail = sentence[last:] + if tail: + parts.append(tail) + return parts + + def _convert_sml(self, sml:str)->tuple: + import torch + import numpy as np + m = SML_TAG_PATTERN.fullmatch(sml) + if not m: + error = '_convert_sml SML_TAG_PATTERN error: m is empty' + return False, error + tag = m.group('tag') + close = bool(m.group('close')) + value = m.group('value') + assert tag in TTS_SML, f'Unknown SML tag: {tag!r}' + if tag == 'break': + silence_time = float(int(np.random.uniform(0.3, 0.5) * 100) / 100) + self.audio_segments.append(torch.zeros(1, int(self.params['samplerate'] * silence_time)).clone()) + return True, None + elif tag == 'pause': + silence_time = float(value) if value else float( + int(np.random.uniform(0.6, 1.1) * 100) / 100 + ) + self.audio_segments.append(torch.zeros(1, int(self.params['samplerate'] * silence_time)).clone()) + return True, None + elif tag == 'voice': + if close: + voice_orig, error = self._set_voice(self.params['block_voice']) + if voice_orig is None and error is not None: + return False, error + self.params['inline_voice'] = None + self.params['block_voice'] = self.params['current_voice'] = voice_orig + return True, None + if not value: + error = '_convert_sml() error: voice tag must specify a voice path value' + return False, error + inline_voice = os.path.abspath(value) + if not os.path.exists(inline_voice): + error = f'_convert_sml() error: voice {inline_voice} does not exist!' + return False, error + self.params['inline_voice'] = self.params['current_voice'] = inline_voice + return True, None + elif tag == 'ipa': + if close: + value = '' # TODO: get the value between tag [ipa] and close [/ipa] + return True, None + else: + error = 'This SML is not recognized' + return False, error + + def audio_save(self, sentence_file, segment_tensor:any, samplerate:int)->bool: + import soundfile as sf + formats = {"wav": "FLOAT", "flac": "PCM_24", "ogg": "VORBIS"} + path = os.fspath(sentence_file) + fmt = os.path.splitext(path)[1].lstrip('.').lower() + if fmt not in formats: + raise ValueError(f'audio_save: format {fmt!r} not in {tuple(formats)}') + audio_np = segment_tensor.detach().cpu().numpy().squeeze(0) + try: + sf.write(path, audio_np, samplerate, subtype=formats[fmt]) + except Exception as e: + # remove any partial file from a failed write + if os.path.exists(path): + try: + os.remove(path) + except OSError: + pass + raise RuntimeError(f'audio_save({path}): {e}') from e + return True + + def log_exception(self,where:str, e:Exception)->str: + import traceback + traceback.print_exc() + return f'{where}: {e}' \ No newline at end of file diff --git a/lib/classes/tts_engines/fairseq.py b/lib/classes/tts_engines/fairseq.py new file mode 100644 index 0000000..a1036ae --- /dev/null +++ b/lib/classes/tts_engines/fairseq.py @@ -0,0 +1,244 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Fairseq(TTSUtils, TTSRegistry, name='fairseq'): + + def __init__(self, session: DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/', 1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.tts_engine = self.session.get('tts_engine') + self.models = load_engine_presets(self.tts_engine) + self.params = {"semitones": {}} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + if self.tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {self.tts_engine}.' + raise ValueError(error) + engine_langs = default_engine_settings[self.tts_engine].get('languages', {}) + if self.language not in engine_langs: + error = f'Language {self.language} not supported by engine {self.tts_engine}.' + raise ValueError(error) + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + self.params['samplerate'] = model_cfg['samplerate'] + self.model_path = model_cfg['repo'].replace('[lang]', self.language) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + self.engine_zs = self._load_engine_zs(self.device) + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + try: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + if self.session['custom_model'] is not None: + model_path = self.session['custom_model'] + files = default_engine_settings[self.tts_engine]['files'] + config_path = os.path.join(model_path, files[0]) + checkpoint_path = os.path.join(model_path, files[1]) + vocab_path = os.path.join(model_path, files[2]) + custom_model_name = os.path.basename(os.path.normpath(model_path)) + self.tts_key = f"{self.tts_engine}-{custom_model_name}" + engine = self._load_checkpoint(tts_engine=self.tts_engine, key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path, device=self.device) + else: + self.tts_key = self.model_path + engine = self._load_api(self.tts_key, self.model_path, self.device) + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + except Exception as e: + error = f"load_engine() error: {e}" + raise RuntimeError(error) from e + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid, detect_gender + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + not_supported_punc_pattern = re.compile(r'[.:—,\!;?]') + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + use_zs = False + self.audio_segments = [] + custom_model_name = os.path.basename(self.session['custom_model']) if self.session['custom_model'] is not None else None + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + if use_zs and not self.engine_zs: + error = f'Engine {self.tts_zs_key} is None' + return False, error + if use_zs: + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if success: + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + else: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + part = re.sub(not_supported_punc_pattern, ' ', part).strip() + try: + if use_zs: + tmp_in_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + tmp_out_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + result = False + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + self.engine.tts_to_file( + text=part, + file_path=tmp_in_wav + ) + if self.params['current_voice'] in self.params['semitones'].keys(): + semitones = self.params['semitones'][self.params['current_voice']] + else: + current_voice_gender = detect_gender(self.params['current_voice']) + voice_builtin_gender = detect_gender(tmp_in_wav) + msg = f'Cloned voice seems to be {current_voice_gender}\nBuiltin voice seems to be {voice_builtin_gender}' + print(msg) + if voice_builtin_gender != current_voice_gender: + semitones = -4 if current_voice_gender == 'male' else 4 + msg = f'Adapting builtin voice frequencies from the clone voice…' + print(msg) + else: + semitones = 0 + self.params['semitones'][self.params['current_voice']] = semitones + if semitones > 0: + try: + cmd = [ + shutil.which('sox'), tmp_in_wav, + '-r', str(self.params['samplerate']), tmp_out_wav, + 'pitch', str(semitones * 100) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + except subprocess.CalledProcessError as e: + error = f'Subprocess error: {e.stderr}' + DependencyError(error) + return False, error + except FileNotFoundError as e: + error = f'File not found: {e}' + DependencyError(error) + return False, error + else: + tmp_out_wav = tmp_in_wav + samplerate = TTS_VOICE_CONVERSION[self.tts_zs_key]['samplerate'] + source_wav = self._resample_wav(tmp_out_wav, samplerate) + target_wav = self._resample_wav(self.params['current_voice'], samplerate) + speaker_argument = {} + if (self.engine_zs.speakers is not None and self.speaker not in self.engine_zs.speakers) or self.engine_zs.speakers is None: + speaker_argument['target_wav'] = target_wav + audio_part = self.engine_zs.voice_conversion( + source_wav=source_wav, + speaker=self.speaker, + **speaker_argument + ) + if os.path.exists(tmp_in_wav): + os.remove(tmp_in_wav) + if os.path.exists(tmp_out_wav): + os.remove(tmp_out_wav) + if os.path.exists(source_wav): + os.remove(source_wav) + audio_part = self._resample_audiodata(audio_part, samplerate, self.params['samplerate']) + else: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.tts_engine} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/glowtts.py b/lib/classes/tts_engines/glowtts.py new file mode 100644 index 0000000..8a19452 --- /dev/null +++ b/lib/classes/tts_engines/glowtts.py @@ -0,0 +1,246 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class GlowTTS(TTSUtils, TTSRegistry, name='glowtts'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/',1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {"semitones": {}, "samplerate": None} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + tts_engine = self.session.get('tts_engine') + if tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {tts_engine}.' + raise ValueError(error) + engine_langs = default_engine_settings[tts_engine].get('languages', {}) + if self.language not in engine_langs: + error = f'Language {self.language} not supported by engine {tts_engine}.' + raise ValueError(error) + + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate', 'sub'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + sub_dict = model_cfg['sub'] + iso_dir = engine_langs[self.language] + sub = next((key for key, lang_list in sub_dict.items() if iso_dir in lang_list), None) + if sub is None: + error = f'{tts_engine} checkpoint for {self.language} not found.' + raise KeyError(error) + self.params['samplerate'] = model_cfg['samplerate'][sub] + self.model_path = model_cfg['repo'].replace('[lang_iso1]', iso_dir).replace('[xxx]', sub) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + self.engine_zs = self._load_engine_zs(self.device) + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + try: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + #if self.session['custom_model'] is not None: + # msg = f"{self.session['tts_engine']} custom model not implemented yet!" + # raise NotImplementedError(msg) + self.tts_key = self.model_path + engine = self._load_api(self.tts_key, self.model_path, self.device) + if engine: + msg = f"TTS {self.tts_key} Loaded!" + print(msg) + return engine + error = "load_engine(): engine is None" + raise RuntimeError(error) + except Exception as e: + error = f"load_engine() error: {e}" + raise RuntimeError(error) from e + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid, detect_gender + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + #not_supported_punc_pattern = re.compile(r'[.:—]') + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + self.audio_segments = [] + use_zs = self.params['current_voice'] is not None + if use_zs and not self.engine_zs: + error = f'Engine {self.tts_zs_key} is None' + return False, error + if use_zs: + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if success: + use_zs = self.params['current_voice'] is not None + else: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + #part = re.sub(not_supported_punc_pattern, ' ', part).strip() + if self.language == 'bel': + from phonemizer import phonemize + part_ipa = phonemize( + part, + backend='espeak', + language='be', + with_stress=True + ) + else: + part_ipa = part + try: + if use_zs: + tmp_in_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + tmp_out_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + self.engine.tts_to_file( + text=part_ipa, + file_path=tmp_in_wav + ) + if self.params['current_voice'] in self.params['semitones'].keys(): + semitones = self.params['semitones'][self.params['current_voice']] + else: + current_voice_gender = detect_gender(self.params['current_voice']) + voice_builtin_gender = detect_gender(tmp_in_wav) + msg = f'Cloned voice seems to be {current_voice_gender}\nBuiltin voice seems to be {voice_builtin_gender}' + print(msg) + if voice_builtin_gender != current_voice_gender: + semitones = -4 if current_voice_gender == 'male' else 4 + msg = f'Adapting builtin voice frequencies from the clone voice…' + print(msg) + else: + semitones = 0 + self.params['semitones'][self.params['current_voice']] = semitones + if semitones > 0: + try: + cmd = [ + shutil.which('sox'), tmp_in_wav, + '-r', str(self.params['samplerate']), tmp_out_wav, + 'pitch', str(semitones * 100) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + except subprocess.CalledProcessError as e: + error = f'Subprocess error: {e.stderr}' + DependencyError(error) + return False, error + except FileNotFoundError as e: + error = f'File not found: {e}' + DependencyError(error) + return False, error + else: + tmp_out_wav = tmp_in_wav + samplerate = TTS_VOICE_CONVERSION[self.tts_zs_key]['samplerate'] + source_wav = self._resample_wav(tmp_out_wav, samplerate) + target_wav = self._resample_wav(self.params['current_voice'], samplerate) + speaker_argument = {} + if (self.engine_zs.speakers is not None and self.speaker not in self.engine_zs.speakers) or self.engine_zs.speakers is None: + speaker_argument['target_wav'] = target_wav + audio_part = self.engine_zs.voice_conversion( + source_wav=source_wav, + speaker=self.speaker, + **speaker_argument + ) + if os.path.exists(tmp_in_wav): + os.remove(tmp_in_wav) + if os.path.exists(tmp_out_wav): + os.remove(tmp_out_wav) + if os.path.exists(source_wav): + os.remove(source_wav) + audio_part = self._resample_audiodata(audio_part, samplerate, self.params['samplerate']) + else: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part_ipa, + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/piper.py b/lib/classes/tts_engines/piper.py new file mode 100644 index 0000000..4143b86 --- /dev/null +++ b/lib/classes/tts_engines/piper.py @@ -0,0 +1,257 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Piper(TTSUtils, TTSRegistry, name='piper'): + + def __init__(self, session: DictProxy): + try: + from piper import SynthesisConfig + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/', 1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.tts_engine = self.session['tts_engine'] + self.models = load_engine_presets(self.tts_engine) + self.params = {"semitones": {}} + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + if self.tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {self.tts_engine}.' + raise ValueError(error) + self.engine_langs = default_engine_settings[self.tts_engine].get('languages', {}) + if self.language not in self.engine_langs: + error = f'Language {self.language} not supported by engine {self.tts_engine}.' + raise ValueError(error) + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + self.model_path = None + self.sub_list = model_cfg['sub'] + self.params['samplerate'] = model_cfg['samplerate'] + self.syn_config = SynthesisConfig( + volume=1.0, + #length_scale=1.0, # speed + #noise_scale=0.8, # more audio variation + #noise_w_scale=0.8, # more speaking variation + normalize_audio=True + ) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + self.engine_zs = self._load_engine_zs(self.device) + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + try: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + if self.session['custom_model'] is not None: + self.model_path = self.session['custom_model'] + files = default_engine_settings[self.tts_engine]['files'] + config_path = os.path.join(self.model_path, files[0]) + checkpoint_path = os.path.join(self.model_path, files[1]) + model_name = os.path.basename(os.path.normpath(self.model_path)) + self.tts_key = f"{self.tts_engine}-{model_name}" + engine = self._load_checkpoint(tts_engine=self.tts_engine, key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, device=self.device) + else: + piper_lang = self.engine_langs[self.language] + voice_file = self.session.get('block_voice', self.session['voice']) + voice_name = Path(voice_file).stem if voice_file is not None else None + model_name = voice_name if any(voice_name in voices for voices in self.sub_list.values()) else self.sub_list[piper_lang][0] + engine_path = os.path.join(self.cache_dir, self.tts_engine) + os.makedirs(engine_path, exist_ok=True) + self.model_path = os.path.join(engine_path, model_name) + os.makedirs(self.model_path, exist_ok=True) + config_path = os.path.join(self.model_path, f'{model_name}.onnx.json') + checkpoint_path = os.path.join(self.model_path, f'{model_name}.onnx') + self.tts_key = f"{self.tts_engine}-{model_name}" + engine = self._load_checkpoint(tts_engine=self.tts_engine, key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, device=self.device) + if engine: + self.params['samplerate'] = int(getattr(engine, 'output_sample_rate', None) or getattr(getattr(engine, 'config', None), 'sample_rate', self.params['samplerate'])) + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + except Exception as e: + error = f"load_engine() error: {e}" + raise RuntimeError(error) from e + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + import numpy as np + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid, detect_gender + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + use_zs = False + self.audio_segments = [] + custom_model_name = os.path.basename(self.session['custom_model']) if self.session['custom_model'] is not None else None + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + if use_zs and not self.engine_zs: + error = f'Engine {self.tts_zs_key} is None' + return False, error + if use_zs: + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if success: + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + else: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + try: + if use_zs: + tmp_in_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + tmp_out_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + result = False + with wave.open(tmp_in_wav, 'wb') as wav_file: + self.engine.synthesize_wav(part, wav_file, syn_config=self.syn_config) + if self.params['current_voice'] in self.params['semitones'].keys(): + semitones = self.params['semitones'][self.params['current_voice']] + else: + current_voice_gender = detect_gender(self.params['current_voice']) + voice_builtin_gender = detect_gender(tmp_in_wav) + msg = f'Cloned voice seems to be {current_voice_gender}\nBuiltin voice seems to be {voice_builtin_gender}' + print(msg) + if voice_builtin_gender != current_voice_gender: + semitones = -4 if current_voice_gender == 'male' else 4 + msg = f'Adapting builtin voice frequencies from the clone voice…' + print(msg) + else: + semitones = 0 + self.params['semitones'][self.params['current_voice']] = semitones + if semitones > 0: + try: + cmd = [ + shutil.which('sox'), tmp_in_wav, + '-r', str(self.params['samplerate']), tmp_out_wav, + 'pitch', str(semitones * 100) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + except subprocess.CalledProcessError as e: + error = f'Subprocess error: {e.stderr}' + DependencyError(error) + return False, error + except FileNotFoundError as e: + error = f'File not found: {e}' + DependencyError(error) + return False, error + else: + tmp_out_wav = tmp_in_wav + samplerate = TTS_VOICE_CONVERSION[self.tts_zs_key]['samplerate'] + source_wav = self._resample_wav(tmp_out_wav, samplerate) + target_wav = self._resample_wav(self.params['current_voice'], samplerate) + speaker_argument = {} + if (self.engine_zs.speakers is not None and self.speaker not in self.engine_zs.speakers) or self.engine_zs.speakers is None: + speaker_argument['target_wav'] = target_wav + audio_part = self.engine_zs.voice_conversion( + source_wav=source_wav, + speaker=self.speaker, + **speaker_argument + ) + if os.path.exists(tmp_in_wav): + os.remove(tmp_in_wav) + if os.path.exists(tmp_out_wav): + os.remove(tmp_out_wav) + if os.path.exists(source_wav): + os.remove(source_wav) + audio_part = self._resample_audiodata(audio_part, samplerate, self.params['samplerate']) + else: + audio_part = None + chunks = [] + for chunk in self.engine.synthesize(part, syn_config=self.syn_config): + arr = chunk.audio_float_array + chunks.append(arr) + if not chunks: + error = f'synthesize() yielded no chunks for: {part}' + return False, error + audio_part = np.concatenate(chunks).astype(np.float32, copy=False) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at segment "{part}": {e}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.tts_engine} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False diff --git a/lib/classes/tts_engines/presets/bark_presets.py b/lib/classes/tts_engines/presets/bark_presets.py new file mode 100644 index 0000000..f4f9aca --- /dev/null +++ b/lib/classes/tts_engines/presets/bark_presets.py @@ -0,0 +1,14 @@ +import os +from lib.conf import voices_dir +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/multilingual/multi-dataset/bark", # load_checkpoint => erogol/bark, suno/bark, rsxdalv/suno. load_api => tts_models/multilingual/multi-dataset/bark + "sub": "", # {"big-bf16": "big-bf16/", "small-bf16": "small-bf16/", "big": "big/", "small": "small/"} + "voice": default_engine_settings[TTS_ENGINES['BARK']]['voice'], + "files": default_engine_settings[TTS_ENGINES['BARK']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['BARK']]['samplerate'] + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/presets/fairseq_presets.py b/lib/classes/tts_engines/presets/fairseq_presets.py new file mode 100644 index 0000000..7142fb0 --- /dev/null +++ b/lib/classes/tts_engines/presets/fairseq_presets.py @@ -0,0 +1,12 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/[lang]/fairseq/vits", + "sub": "", + "voice": default_engine_settings[TTS_ENGINES['FAIRSEQ']]['voice'], + "files": default_engine_settings[TTS_ENGINES['FAIRSEQ']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['FAIRSEQ']]['samplerate'] + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/presets/glowtts_presets.py b/lib/classes/tts_engines/presets/glowtts_presets.py new file mode 100644 index 0000000..2008f48 --- /dev/null +++ b/lib/classes/tts_engines/presets/glowtts_presets.py @@ -0,0 +1,25 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/[lang_iso1]/[xxx]", + "sub": { + "ljspeech/glow-tts": ['en'], + "mai/glow-tts": ['uk'], + "mai_male/glow-tts": ['it'], + "custom/glow-tts": ['fa'], + "common-voice/glow-tts": ['be', 'tr'] + }, + "voice": default_engine_settings[TTS_ENGINES['GLOWTTS']]['voice'], + "files": default_engine_settings[TTS_ENGINES['GLOWTTS']]['files'], + "samplerate": { + "ljspeech/glow-tts": default_engine_settings[TTS_ENGINES['GLOWTTS']]['samplerate'], + "mai/glow-tts": 16000, + "mai_male/glow-tts": 16000, + "custom/glow-tts": 24000, + "common-voice/glow-tts": default_engine_settings[TTS_ENGINES['GLOWTTS']]['samplerate'] + } + } +} + diff --git a/lib/classes/tts_engines/presets/piper_presets.py b/lib/classes/tts_engines/presets/piper_presets.py new file mode 100644 index 0000000..d54e256 --- /dev/null +++ b/lib/classes/tts_engines/presets/piper_presets.py @@ -0,0 +1,49 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "rhasspy/piper-voices", + "sub": { + "ar_JO": ["ar_JO-kareem-medium", "ar_JO-kareem-medium"], + "ca_ES": ["ca_ES-upc_ona-medium", "ca_ES-upc_ona-medium"], + "cs_CZ": ["cs_CZ-jirka-medium", "cs_CZ-jirka-medium"], + "cy_GB": ["cy_GB-gwryw_gogleddol-medium", "cy_GB-bu_tts-medium"], + "da_DK": ["da_DK-talesyntese-medium", "da_DK-talesyntese-medium"], + "de_DE": ["de_DE-thorsten_emotional-medium", "de_DE-mls-medium"], + "el_GR": ["el_GR-rapunzelina-low", "el_GR-rapunzelina-low"], + "en_GB": ["en_GB-alan-medium", "en_GB-cori-high"], + "es_ES": ["es_ES-davefx-medium", "es_ES-sharvard-medium"], + "fa_IR": ["fa_IR-amir-medium", "fa_IR-amir-medium"], + "fi_FI": ["fi_FI-harri-medium", "fi_FI-harri-low"], + "fr_FR": ["fr_FR-tom-medium", "fr_FR-siwis-medium"], + "hu_HU": ["hu_HU-anna-medium", "hu_HU-anna-medium"], + "is_IS": ["is_IS-bui-medium", "is_IS-salka-medium"], + "it_IT": ["it_IT-riccardo-x_low", "it_IT-paola-medium"], + "ka_GE": ["ka_GE-natia-medium", "ka_GE-natia-medium"], + "kk_KZ": ["kk_KZ-issai-high", "kk_KZ-iseke-x_low"], + "lb_LU": ["lb_LU-marylux-medium", "lb_LU-marylux-medium"], + "lv_LV": ["lv_LV-aivars-medium", "lv_LV-aivars-medium"], + "ne_NP": ["ne_NP-google-medium", "ne_NP-google-medium"], + "nl_NL": ["nl_NL-mls-medium", "nl_NL-mls_5809-low"], + "no_NO": ["no_NO-talesyntese-medium", "no_NO-talesyntese-medium"], + "pl_PL": ["pl_PL-darkman-medium", "pl_PL-gosia-medium"], + "pt_PT": ["pt_PT-tug%C3%A3o-medium", "pt_PT-tugão-medium"], + "ro_RO": ["ro_RO-mihai-medium", "ro_RO-mihai-medium"], + "ru_RU": ["ru_RU-denis-medium", "ru_RU-irina-medium"], + "sk_SK": ["sk_SK-lili-medium", "sk_SK-lili-medium"], + "sl_SI": ["sl_SI-artur-medium", "sl_SI-artur-medium"], + "sr_RS": ["sr_RS-serbski_institut-medium", "sr_RS-serbski_institut-medium"], + "sv_SE": ["sv_SE-nst-medium", "sv_SE-nst-medium"], + "sw_CD": ["sw_CD-lanfrica-medium", "sw_CD-lanfrica-medium"], + "tr_TR": ["tr_TR-dfki-medium", "tr_TR-dfki-medium"], + "uk_UA": ["uk_UA-ukrainian_tts-medium", "uk_UA-lada-x_low"], + "ur_PK": ["ur_PK-fasih-medium", "ur_PK-fasih-medium"], + "vi_VN": ["vi_VN-vais1000-medium", "vi_VN-25hours_single-low"], + "zh_CN": ["zh_CN-huayan-medium", "zh_CN-huayan-medium"] + }, + "voice": default_engine_settings[TTS_ENGINES['PIPER']]['voice'], + "files": default_engine_settings[TTS_ENGINES['PIPER']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['PIPER']]['samplerate'] + } +} diff --git a/lib/classes/tts_engines/presets/tacotron_presets.py b/lib/classes/tts_engines/presets/tacotron_presets.py new file mode 100644 index 0000000..abaaf4f --- /dev/null +++ b/lib/classes/tts_engines/presets/tacotron_presets.py @@ -0,0 +1,20 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/[lang_iso1]/[xxx]", + "sub": { + "mai/tacotron2-DDC": ['fr', 'es'], + "thorsten/tacotron2-DDC": ['de'], + "ljspeech/tacotron2-DDC": ['en'] + }, + "voice": default_engine_settings[TTS_ENGINES['TACOTRON']]['voice'], + "files": default_engine_settings[TTS_ENGINES['TACOTRON']]['files'], + "samplerate": { + "mai/tacotron2-DDC": 24000, + "thorsten/tacotron2-DDC": 24000, + "ljspeech/tacotron2-DDC": default_engine_settings[TTS_ENGINES['TACOTRON']]['samplerate'] + }, + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/presets/tortoise_presets.py b/lib/classes/tts_engines/presets/tortoise_presets.py new file mode 100644 index 0000000..f1c72f5 --- /dev/null +++ b/lib/classes/tts_engines/presets/tortoise_presets.py @@ -0,0 +1,18 @@ +import os +from lib.conf import voices_dir +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/[lang_iso1]/[xxx]", + "sub": { + "multi-dataset/tortoise-v2": ['en'], + }, + "voice": default_engine_settings[TTS_ENGINES['TORTOISE']]['voice'], + "files": default_engine_settings[TTS_ENGINES['TORTOISE']]['files'], + "samplerate": { + "multi-dataset/tortoise-v2": default_engine_settings[TTS_ENGINES['TORTOISE']]['samplerate'] + } + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/presets/vits_presets.py b/lib/classes/tts_engines/presets/vits_presets.py new file mode 100644 index 0000000..d103417 --- /dev/null +++ b/lib/classes/tts_engines/presets/vits_presets.py @@ -0,0 +1,34 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/[lang_iso1]/[xxx]", + "sub": { + "css10/vits": ['es','hu','fi','fr','nl','ru','el'], + "custom/vits": ['ca'], + "custom/vits-female": ['bn', 'fa'], + "cv/vits": ['bg','cs','da','et','ga','hr','lt','lv','mt','pt','ro','sk','sl','sv'], + "mai/vits": ['uk'], + "mai_female/vits": ['pl'], + "mai_male/vits": ['it'], + "openbible/vits": ['ewe','hau','lin','tw_akuapem','tw_asante','yor'], + "vctk/vits": ['en'], + "thorsten/vits": ['de'] + }, + "voice": default_engine_settings[TTS_ENGINES['VITS']]['voice'], + "files": default_engine_settings[TTS_ENGINES['VITS']]['files'], + "samplerate": { + "css10/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "custom/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "custom/vits-female": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "cv/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "mai/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "mai_female/vits": 24000, + "mai_male/vits": 16000, + "openbible/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "vctk/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'], + "thorsten/vits": default_engine_settings[TTS_ENGINES['VITS']]['samplerate'] + } + } +} diff --git a/lib/classes/tts_engines/presets/xtts_presets.py b/lib/classes/tts_engines/presets/xtts_presets.py new file mode 100644 index 0000000..ad294cf --- /dev/null +++ b/lib/classes/tts_engines/presets/xtts_presets.py @@ -0,0 +1,286 @@ +import os +from lib.conf import voices_dir +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "coqui/XTTS-v2", + "sub": "tts_models/multilingual/multi-dataset/xtts_v2/", + "voice": default_engine_settings[TTS_ENGINES['XTTS']]['voice'], + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "AiExplained": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/AiExplained/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'AiExplained.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "AsmrRacoon": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/AsmrRacoon/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'AsmrRacoon.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "Awkwafina": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/Awkwafina/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'Awkwafina.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "BobOdenkirk": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/BobOdenkirk/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'BobOdenkirk.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "BobRoss": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/BobRoss/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'BobRoss.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "BrinaPalencia": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/BrinaPalencia/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'BrinaPalencia.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "BryanCranston": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/BryanCranston/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'BryanCranston.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "DavidAttenborough": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/DavidAttenborough/", + "voice": os.path.join(voices_dir, 'eng', 'elder', 'male', 'DavidAttenborough.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "DeathPussInBoots": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/DeathPussInBoots/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'DeathPussInBoots.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "DermotCrowley": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/DermotCrowley/", + "voice": os.path.join(voices_dir, 'eng', 'elder', 'male', 'DermotCrowley.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "EvaSeymour": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/EvaSeymour/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'EvaSeymour.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "GideonOfnirEldenRing": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/GideonOfnirEldenRing/", + "voice": os.path.join(voices_dir, 'eng', 'elder', 'male', 'GideonOfnirEldenRing.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "GhostMW2": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/GhostMW2/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'GhostMW2.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "JohnButlerASMR": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/JohnButlerASMR/", + "voice": os.path.join(voices_dir, 'eng', 'elder', 'male', 'JohnButlerASMR.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "JohnMulaney": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/JohnMulaney/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'JohnMulaney.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "JillRedfield": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/JillRedfield/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'JillRedfield.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "JuliaWhenlan": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/JuliaWhenlan/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'JuliaWhenlan.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "LeeHorsley": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/LeeHorsley/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'LeeHorsley.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "MelinaEldenRing": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/MelinaEldenRing/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'MelinaEldenRing.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "MorganFreeman": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/MorganFreeman/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'MorganFreeman.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "NeilGaiman": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/NeilGaiman/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'NeilGaiman.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "PeterGriffinFamilyGuy": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/PeterGriffinFamilyGuy/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'PeterGriffinFamilyGuy.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "RafeBeckley": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/RafeBeckley/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'RafeBeckley.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "RainyDayHeadSpace": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/RainyDayHeadSpace/", + "voice": os.path.join(voices_dir, 'eng', 'elder', 'male', 'RainyDayHeadSpace.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "RayPorter": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/RayPorter/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'RayPorter.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "RelaxForAWhile": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/RelaxForAWhile/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'RelaxForAWhile.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "RosamundPike": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/RosamundPike/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'RosamundPike.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "ScarlettJohansson": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/ScarlettJohansson/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'female', 'ScarlettJohansson.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "SladeTeenTitans": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/SladeTeenTitans/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'SladeTeenTitans.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "StanleyParable": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/StanleyParable/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'StanleyParable.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "Top15s": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/Top15s/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'Top15s.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "WhisperSalemASMR": { + "lang": "eng", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/eng/WhisperSalemASMR/", + "voice": os.path.join(voices_dir, 'eng', 'adult', 'male', 'WhisperSalemASMR.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "Konishev": { + "lang": "rus", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/rus/Konishev/", + "voice": os.path.join(voices_dir, 'rus', 'adult', 'male', 'Konishev.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + }, + "JuliaCasper": { + "lang": "deu", + "repo": "drewThomasson/fineTunedTTSModels", + "sub": "xtts-v2/deu/JuliaCasper/", + "voice": os.path.join(voices_dir, 'deu', 'adult', 'female', 'JuliaCasper.wav'), + "files": default_engine_settings[TTS_ENGINES['XTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['XTTS']]['samplerate'] + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/presets/yourtts_presets.py b/lib/classes/tts_engines/presets/yourtts_presets.py new file mode 100644 index 0000000..1e11850 --- /dev/null +++ b/lib/classes/tts_engines/presets/yourtts_presets.py @@ -0,0 +1,12 @@ +from lib.conf_models import TTS_ENGINES, default_engine_settings + +models = { + "internal": { + "lang": "multi", + "repo": "tts_models/multilingual/multi-dataset/your_tts", + "sub": "", + "voice": default_engine_settings[TTS_ENGINES['YOURTTS']]['voice'], + "files": default_engine_settings[TTS_ENGINES['YOURTTS']]['files'], + "samplerate": default_engine_settings[TTS_ENGINES['YOURTTS']]['samplerate'] + } +} \ No newline at end of file diff --git a/lib/classes/tts_engines/tacotron.py b/lib/classes/tts_engines/tacotron.py new file mode 100644 index 0000000..02e1a26 --- /dev/null +++ b/lib/classes/tts_engines/tacotron.py @@ -0,0 +1,257 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Tacotron2(TTSUtils, TTSRegistry, name='tacotron'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/',1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {"semitones":{}} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + tts_engine = self.session.get('tts_engine') + if tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {tts_engine}.' + raise ValueError(error) + engine_langs = default_engine_settings[tts_engine].get('languages', {}) + if self.language not in engine_langs: + error = f'Language {self.language} not supported by engine {tts_engine}.' + raise ValueError(error) + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate', 'sub'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + sub_dict = model_cfg['sub'] + iso_dir = engine_langs[self.language] + sub = next((key for key, lang_list in sub_dict.items() if iso_dir in lang_list), None) + if sub is None: + iso_dir = self.language + sub = next((key for key, lang_list in sub_dict.items() if iso_dir in lang_list), None) + if sub is None: + error = f'{tts_engine} checkpoint for {self.language} not found.' + raise KeyError(error) + self.params['samplerate'] = model_cfg['samplerate'][sub] + self.model_path = model_cfg['repo'].replace('[lang_iso1]', iso_dir).replace('[xxx]', sub) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + self.engine_zs = self._load_engine_zs(self.device) + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + #if self.session['custom_model'] is not None: + # error = f"{self.session['tts_engine']} custom model not implemented yet!" + # raise NotImplementedError(error) + self.tts_key = self.model_path + try: + engine = self._load_api(self.tts_key, self.model_path, self.device) + except Exception as e: + error = 'load_engine(): _load_api() failed' + raise RuntimeError(error) from e + try: + m = engine.synthesizer.tts_model + d = m.decoder + d.prenet_dropout = 0.0 + d.attention_dropout = 0.0 + d.decoder_dropout = 0.0 + d.gate_threshold = 0.5 + d.force_gate = True + d.gate_delay = 10 + d.max_decoder_steps = 1000 + d.attention_keeplast = True + except Exception as e: + error = 'load_engine(): decoder tuning failed' + raise RuntimeError(error) from e + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid, detect_gender + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + if self.language in ['zho', 'jpn', 'kor', 'tha', 'lao', 'mya', 'khm']: + not_supported_punc_pattern = re.compile(r'\p{P}+') + else: + not_supported_punc_pattern = re.compile(r'["—…¡¿]') + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + self.audio_segments = [] + use_zs = self.params['current_voice'] is not None + if use_zs and not self.engine_zs: + error = f'Engine {self.tts_zs_key} is None' + return False, error + if use_zs: + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if success: + use_zs = self.params['current_voice'] is not None + else: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + part = re.sub(not_supported_punc_pattern, ' ', part).strip() + try: + if use_zs: + tmp_in_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + tmp_out_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + self.engine.tts_to_file( + text=part, + file_path=tmp_in_wav + ) + if self.params['current_voice'] in self.params['semitones'].keys(): + semitones = self.params['semitones'][self.params['current_voice']] + else: + current_voice_gender = detect_gender(self.params['current_voice']) + voice_builtin_gender = detect_gender(tmp_in_wav) + msg = f'Cloned voice seems to be {current_voice_gender}\nBuiltin voice seems to be {voice_builtin_gender}' + print(msg) + if voice_builtin_gender != current_voice_gender: + semitones = -4 if current_voice_gender == 'male' else 4 + msg = f'Adapting builtin voice frequencies from the clone voice…' + print(msg) + else: + semitones = 0 + self.params['semitones'][self.params['current_voice']] = semitones + if semitones > 0: + try: + cmd = [ + shutil.which('sox'), tmp_in_wav, + '-r', str(self.params['samplerate']), tmp_out_wav, + 'pitch', str(semitones * 100) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + except subprocess.CalledProcessError as e: + error = f'Subprocess error: {e.stderr}' + DependencyError(error) + return False, error + except FileNotFoundError as e: + error = f'File not found: {e}' + DependencyError(error) + return False, error + else: + tmp_out_wav = tmp_in_wav + samplerate = TTS_VOICE_CONVERSION[self.tts_zs_key]['samplerate'] + source_wav = self._resample_wav(tmp_out_wav, samplerate) + target_wav = self._resample_wav(self.params['current_voice'], samplerate) + speaker_argument = {} + if (self.engine_zs.speakers is not None and self.speaker not in self.engine_zs.speakers) or self.engine_zs.speakers is None: + speaker_argument['target_wav'] = target_wav + audio_part = self.engine_zs.voice_conversion( + source_wav=source_wav, + speaker=self.speaker, + **speaker_argument + ) + if os.path.exists(tmp_in_wav): + os.remove(tmp_in_wav) + if os.path.exists(tmp_out_wav): + os.remove(tmp_out_wav) + if os.path.exists(source_wav): + os.remove(source_wav) + audio_part = self._resample_audiodata(audio_part, samplerate, self.params['samplerate']) + else: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/tortoise.py b/lib/classes/tts_engines/tortoise.py new file mode 100644 index 0000000..110da31 --- /dev/null +++ b/lib/classes/tts_engines/tortoise.py @@ -0,0 +1,173 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Tortoise(TTSUtils, TTSRegistry, name='tortoise'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {} + tts_engine = self.session.get('tts_engine') + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + fine_tuned = self.session.get('fine_tuned') + if tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {tts_engine}.' + raise ValueError(error) + engine_langs = default_engine_settings[tts_engine].get('languages', {}) + if self.language not in engine_langs: + error = f'Language {self.language} not supported by engine {tts_engine}.' + raise ValueError(error) + iso_dir = engine_langs[self.language] + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate', 'sub'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + sub_dict = model_cfg['sub'] + sub = next((key for key, lang_list in sub_dict.items() if iso_dir in lang_list), None) + if sub is None: + error = f'{tts_engine} checkpoint for {self.language} not found.' + raise KeyError(error) + self.params['samplerate'] = model_cfg['samplerate'][sub] + self.model_path = model_cfg['repo'].replace('[lang_iso1]', iso_dir).replace('[xxx]', sub) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + #if self.session['custom_model'] is not None: + # error = f"{self.session['tts_engine']} custom model not implemented yet!" + # raise NotImplementedError(error) + self.tts_key = self.model_path + try: + engine = self._load_api(self.tts_key, self.model_path, self.device) + except Exception as e: + error = 'load_engine(): _load_api() failed' + raise RuntimeError(error) from e + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + not_supported_punc_pattern = re.compile(r'[—]') + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.audio_segments = [] + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if not success: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + if part.endswith("'"): + part = part[:-1] + part = re.sub(not_supported_punc_pattern, ' ', part).strip() + speaker_argument = {} + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else Path(self.models[self.session['fine_tuned']]['voice']).stem + if self.speaker not in self.engine.speakers: + speaker_wav = self.params['current_voice'] + speaker_argument = {"speaker_wav": [speaker_wav], "speaker": self.speaker} + else: + speaker_argument = {"speaker": self.speaker, "preset": "ultra_fast"} + try: + with torch.inference_mode(): + #with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part, + num_autoregressive_samples=1, + diffusion_iterations=10, + **speaker_argument + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/vits.py b/lib/classes/tts_engines/vits.py new file mode 100644 index 0000000..bb3b888 --- /dev/null +++ b/lib/classes/tts_engines/vits.py @@ -0,0 +1,269 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class Vits(TTSUtils, TTSRegistry, name='vits'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/',1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.tts_engine = self.session.get('tts_engine') + self.models = load_engine_presets(self.tts_engine) + self.params = {"semitones":{}} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + if self.tts_engine not in default_engine_settings: + error = f'Invalid tts_engine {self.tts_engine}.' + raise ValueError(error) + engine_langs = default_engine_settings[self.tts_engine].get('languages', {}) + if self.language not in engine_langs: + error = f'Language {self.language} not supported by engine {self.tts_engine}.' + raise ValueError(error) + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate', 'sub'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + sub_dict = model_cfg['sub'] + iso_dir = engine_langs[self.language] + sub = next((key for key, lang_list in sub_dict.items() if iso_dir in lang_list), None) + if sub is None: + error = f'{self.tts_engine} checkpoint for {self.language} not found.' + raise KeyError(error) + self.params['samplerate'] = model_cfg['samplerate'][sub] + self.model_path = model_cfg['repo'].replace('[lang_iso1]', iso_dir).replace('[xxx]', sub) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + self.engine_zs = self._load_engine_zs(self.device) + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + try: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + if self.session['custom_model'] is not None: + try: + model_path = self.session['custom_model'] + files = default_engine_settings[self.tts_engine]['files'] + config_path = os.path.join(model_path, files[0]) + checkpoint_path = os.path.join(model_path, files[1]) + custom_model_name = os.path.basename(os.path.normpath(model_path)) + self.tts_key = f"{self.tts_engine}-{custom_model_name}" + engine = self._load_checkpoint(tts_engine=self.tts_engine, key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, device=self.device) + except Exception as e: + error = f'load_engine(): custom checkpoint loading failed: {e}' + raise RuntimeError(error) from e + else: + self.tts_key = self.model_path + try: + engine = self._load_api(self.tts_key, self.model_path, self.device) + except Exception as e: + error = 'load_engine(): _load_api() failed' + raise RuntimeError(error) from e + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + except Exception as e: + error = f"load_engine() error: {e}" + raise RuntimeError(error) from e + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid, detect_gender + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + #not_supported_punc_pattern = re.compile(r'[.:—]') + self.params['block_voice'] = kwargs.get('block_voice') + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + use_zs = False + self.audio_segments = [] + custom_model_name = os.path.basename(self.session['custom_model']) if self.session['custom_model'] is not None else None + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + if use_zs and not self.engine_zs: + error = f'Engine {self.tts_zs_key} is None' + return False, error + if use_zs: + proc_dir = os.path.join(self.session['voice_dir'], 'proc') + os.makedirs(proc_dir, exist_ok=True) + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if success: + self.speaker = Path(self.params['current_voice']).stem if self.params['current_voice'] is not None else None + if self.speaker is not None and self.speaker != custom_model_name: + if self.speaker not in default_engine_settings[self.tts_engine]['voices'] or custom_model_name is not None: + use_zs = True + else: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + trim_audio_buffer = 0.004 + if part.endswith("'"): + part = part[:-1] + #part = re.sub(not_supported_punc_pattern, ' ', part).strip() + speaker_argument = {} + if not self.session.get('custom_model'): + if self.language == 'eng' and 'vctk/vits' in self.models['internal']['sub']: + if self.language in self.models['internal']['sub']['vctk/vits'] or self.language_iso1 in self.models['internal']['sub']['vctk/vits']: + speaker_argument = {"speaker": "p262"} + elif self.language == 'cat' and 'custom/vits' in self.models['internal']['sub']: + if self.language in self.models['internal']['sub']['custom/vits'] or self.language_iso1 in self.models['internal']['sub']['custom/vits']: + speaker_argument = {"speaker": "09901"} + try: + if use_zs: + tmp_in_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + tmp_out_wav = os.path.join(proc_dir, f'{uuid.uuid4()}.wav') + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + self.engine.tts_to_file( + text=part, + file_path=tmp_in_wav, + **speaker_argument + ) + if self.params['current_voice'] in self.params['semitones'].keys(): + semitones = self.params['semitones'][self.params['current_voice']] + else: + current_voice_gender = detect_gender(self.params['current_voice']) + voice_builtin_gender = detect_gender(tmp_in_wav) + msg = f'Cloned voice seems to be {current_voice_gender}\nBuiltin voice seems to be {voice_builtin_gender}' + print(msg) + if voice_builtin_gender != current_voice_gender: + semitones = -4 if current_voice_gender == 'male' else 4 + msg = f'Adapting builtin voice frequencies from the clone voice…' + print(msg) + else: + semitones = 0 + self.params['semitones'][self.params['current_voice']] = semitones + if semitones > 0: + try: + cmd = [ + shutil.which('sox'), tmp_in_wav, + '-r', str(self.params['samplerate']), tmp_out_wav, + 'pitch', str(semitones * 100) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + except subprocess.CalledProcessError as e: + error = f'Subprocess error: {e.stderr}' + DependencyError(error) + return False, error + except FileNotFoundError as e: + error = f'File not found: {e}' + DependencyError(error) + return False, error + else: + tmp_out_wav = tmp_in_wav + samplerate = TTS_VOICE_CONVERSION[self.tts_zs_key]['samplerate'] + source_wav = self._resample_wav(tmp_out_wav, samplerate) + target_wav = self._resample_wav(self.params['current_voice'], samplerate) + speaker_argument = {} + if (self.engine_zs.speakers is not None and self.speaker not in self.engine_zs.speakers) or self.engine_zs.speakers is None: + speaker_argument['target_wav'] = target_wav + audio_part = self.engine_zs.voice_conversion( + source_wav=source_wav, + speaker=self.speaker, + **speaker_argument + ) + if os.path.exists(tmp_in_wav): + os.remove(tmp_in_wav) + if os.path.exists(tmp_out_wav): + os.remove(tmp_out_wav) + if os.path.exists(source_wav): + os.remove(source_wav) + audio_part = self._resample_audiodata(audio_part, samplerate, self.params['samplerate']) + else: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part, + **speaker_argument + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + if part[-1].isalnum() or part[-1] == '—': + part_tensor = trim_audio(part_tensor.squeeze(0), self.params['samplerate'], 0.001, trim_audio_buffer).unsqueeze(0) + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.tts_engine} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/xtts.py b/lib/classes/tts_engines/xtts.py new file mode 100644 index 0000000..fdaa96a --- /dev/null +++ b/lib/classes/tts_engines/xtts.py @@ -0,0 +1,217 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class XTTS(TTSUtils, TTSRegistry, name='xtts'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.tts_zs_key = default_vc_model.rsplit('/',1)[-1] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {"latent_embedding":{}} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + self.params['samplerate'] = model_cfg['samplerate'] + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.fine_tuned_params = { + key.removeprefix('xtts_'): cast_type(self.session[key]) + for key, cast_type in { + 'xtts_temperature': float, + #'xtts_codec_temperature': float, + 'xtts_length_penalty': float, + 'xtts_num_beams': int, + 'xtts_repetition_penalty': float, + #'xtts_cvvp_weight': float, + 'xtts_top_k': int, + 'xtts_top_p': float, + 'xtts_speed': float, + #'xtts_gpt_cond_len': int, + #'xtts_gpt_batch_size': int, + 'xtts_enable_text_splitting': bool + }.items() + if self.session.get(key) is not None + } + self.engine = self.load_engine() + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + try: + from huggingface_hub import hf_hub_download + msg = f'Loading TTS {self.tts_key} model, it takes a while, please be patient…' + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if not engine: + if self.session['custom_model'] is not None: + try: + model_path = self.session['custom_model'] + config_path = os.path.join(model_path, default_engine_settings[TTS_ENGINES['XTTS']]['files'][0]) + checkpoint_path = os.path.join(model_path, default_engine_settings[TTS_ENGINES['XTTS']]['files'][1]) + vocab_path = os.path.join(model_path, default_engine_settings[TTS_ENGINES['XTTS']]['files'][2]) + custom_model_name = os.path.basename(os.path.normpath(model_path)) + self.tts_key = f"{self.session['tts_engine']}-{custom_model_name}" + engine = self._load_checkpoint(tts_engine=self.session['tts_engine'], key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path, device=self.device) + except Exception as e: + error = f'load_engine(): custom checkpoint loading failed: {e}' + raise RuntimeError(error) from e + else: + try: + hf_repo = self.models[self.session['fine_tuned']]['repo'] + if self.session['fine_tuned'] == 'internal': + hf_sub = '' + if self.speakers_path is None: + self.speakers_path = hf_hub_download(repo_id=hf_repo, filename='speakers_xtts.pth', cache_dir=self.cache_dir) + else: + hf_sub = self.models[self.session['fine_tuned']]['sub'] + config_path = hf_hub_download(repo_id=hf_repo, filename=f'{hf_sub}{self.models[self.session["fine_tuned"]]["files"][0]}', cache_dir=self.cache_dir) + checkpoint_path = hf_hub_download(repo_id=hf_repo, filename=f'{hf_sub}{self.models[self.session["fine_tuned"]]["files"][1]}', cache_dir=self.cache_dir) + vocab_path = hf_hub_download(repo_id=hf_repo, filename=f'{hf_sub}{self.models[self.session["fine_tuned"]]["files"][2]}', cache_dir=self.cache_dir) + engine = self._load_checkpoint(tts_engine=self.session['tts_engine'], key=self.tts_key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path, device=self.device) + except Exception as e: + error = f'load_engine(): HuggingFace checkpoint loading failed: {e}' + raise RuntimeError(error) from e + if engine: + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + error = 'load_engine(): engine is None' + raise RuntimeError(error) + except Exception as e: + error = f'load_engine() error: {e}' + raise RuntimeError(error) from e + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + import numpy as np + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.audio_segments = [] + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if not success: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + trim_audio_buffer = 0.006 + if part.endswith("'"): + part = part[:-1] + part = part.replace('.', ' ;\n') + if self.params['current_voice'] is not None and self.params['current_voice'] in self.params['latent_embedding'].keys(): + self.params['gpt_cond_latent'], self.params['speaker_embedding'] = self.params['latent_embedding'][self.params['current_voice']] + else: + msg = 'Computing speaker latents…' + print(msg) + if self.speaker in default_engine_settings[TTS_ENGINES['XTTS']]['voices'].keys(): + self.params['gpt_cond_latent'], self.params['speaker_embedding'] = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTS']]['voices'][self.speaker]].values() + else: + self.params['gpt_cond_latent'], self.params['speaker_embedding'] = self.engine.get_conditioning_latents(audio_path=[self.params['current_voice']], load_sr=24000, sound_norm_refs=True) + self.params['latent_embedding'][self.params['current_voice']] = self.params['gpt_cond_latent'], self.params['speaker_embedding'] + result = False + try: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + result = self.engine.inference( + text=part, + language=self.language_iso1, + gpt_cond_latent=self.params['gpt_cond_latent'], + speaker_embedding=self.params['speaker_embedding'], + **self.fine_tuned_params + ) + if result: + audio_part = result.get('wav') + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + if part[-1].isalnum() or part[-1] == '—': + part_tensor = trim_audio(part_tensor.squeeze(), self.params['samplerate'], 0.001, trim_audio_buffer).unsqueeze(0) + self.audio_segments.append(part_tensor) + if not re.search(r'\w$', part, flags=re.UNICODE) and part[-1] != '—': + silence_time = int(np.random.uniform(0.3, 0.6) * 100) / 100 + self.audio_segments.append(torch.zeros(1, int(self.params['samplerate'] * silence_time))) + else: + error = 'audio_part not valid' + return False, error + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_engines/yourtts.py b/lib/classes/tts_engines/yourtts.py new file mode 100644 index 0000000..856628a --- /dev/null +++ b/lib/classes/tts_engines/yourtts.py @@ -0,0 +1,168 @@ +from lib.classes.tts_engines.common.headers import * +from lib.classes.tts_engines.common.preset_loader import load_engine_presets + +#sys.stderr = StdoutFilter(sys.stdout) + +class YourTTS(TTSUtils, TTSRegistry, name='yourtts'): + + def __init__(self, session:DictProxy): + try: + self.session = session + self.cache_dir = tts_dir + self.speakers_path = None + self.speaker = None + self.tts_key = self.session['model_cache'] + self.pth_voice_file = None + self.resampler_cache = {} + self.resampled_wav_cache = {} + self.audio_segments = [] + self.models = load_engine_presets(self.session['tts_engine']) + self.params = {} + # effective language for TTS (target when translating, else source) + self.language = self.session.get('language') + self.language_iso1 = self.session.get('language_iso1') + if self.session.get('translate_enabled'): + if self.session.get('translate'): + self.language = self.session['translate'] + if self.session.get('translate_iso1'): + self.language_iso1 = self.session['translate_iso1'] + # yourtts-specific regional language tag passed to engine.tts(language=...) + self.yourtts_language = self.language_iso1 if self.language_iso1 == 'en' else 'fr-fr' if self.language_iso1 == 'fr' else 'pt-br' if self.language_iso1 == 'pt' else 'en' + fine_tuned = self.session.get('fine_tuned') + if fine_tuned not in self.models: + error = f'Invalid fine_tuned model {fine_tuned}. Available models: {list(self.models.keys())}' + raise ValueError(error) + model_cfg = self.models[fine_tuned] + for required_key in ('repo', 'samplerate'): + if required_key not in model_cfg: + error = f'fine_tuned model {fine_tuned} is missing required key {required_key}.' + raise ValueError(error) + self.params['samplerate'] = model_cfg['samplerate'] + self.model_path = model_cfg['repo'].replace("[lang]", self.language) + enough_vram = self.session['free_vram_gb'] > 4.0 + seed = 0 + #random.seed(seed) + self.amp_dtype = self._apply_gpu_policy(enough_vram=enough_vram, seed=seed) + self.xtts_speakers = self._load_xtts_builtin_list() + self.device = devices['CUDA']['proc'] if self.session['device'] in [devices['CUDA']['proc'], devices['ROCM']['proc'], devices['JETSON']['proc']] else self.session['device'] + self.engine = self.load_engine() + except Exception as e: + error = f'__init__() error: {e}' + raise ValueError(error) + + def load_engine(self)->Any: + msg = f"Loading TTS {self.tts_key} model, it takes a while, please be patient…" + print(msg) + self.cleanup_memory() + engine = loaded_tts.get(self.tts_key) + if engine: + msg = f"TTS {self.tts_key} already loaded" + print(msg) + return engine + try: + model_cfg = self.models[self.session['fine_tuned']] + model_path = model_cfg['repo'] + except KeyError as e: + error = f"Invalid fine_tuned model '{self.session['fine_tuned']}'" + raise KeyError(error) from e + try: + engine = self._load_api(self.tts_key, model_path, self.device) + if engine is None: + error = '_load_api() returned None' + raise RuntimeError(error) + msg = f'TTS {self.tts_key} Loaded!' + print(msg) + return engine + except Exception as e: + error = 'load_engine(): engine is None' + raise RuntimeError(error) + + def convert(self, sentence_file:str, sentence:str, **kwargs)->tuple: + try: + import torch + from lib.classes.tts_engines.common.audio import trim_audio, is_audio_data_valid + if self.engine: + sentence_parts = self._split_sentence_on_sml(sentence) + not_supported_punc_pattern = re.compile(r'[—]') + self.params['block_voice'] = kwargs.get('block_voice', self.session['voice']) + if self.params.get('inline_voice'): + self.params['current_voice'] = self.params['inline_voice'] + else: + self.params['current_voice'], error = self._set_voice(self.params['block_voice']) + if self.params['current_voice'] is None and error is not None: + return False, error + self.audio_segments = [] + for part in sentence_parts: + part = part.strip() + if not part: + continue + if SML_TAG_PATTERN.fullmatch(part): + success, error = self._convert_sml(part) + if not success: + return False, error + continue + if not any(c.isalnum() for c in part): + continue + else: + trim_audio_buffer = 0.002 + if part.endswith("'"): + part = part[:-1] + part = re.sub(not_supported_punc_pattern, ' ', part).strip() + speaker_argument = {} + if self.params['current_voice'] is not None: + speaker_wav = self.params['current_voice'] + speaker_argument = {"speaker_wav": speaker_wav} + else: + self.speaker = default_engine_settings[self.session['tts_engine']]['voices']['ElectroMale-2'] + speaker_argument = {"speaker": self.speaker} + try: + with torch.inference_mode(): + with torch.autocast(self.device, dtype=self.amp_dtype, enabled=(self.amp_dtype != torch.float32)): + audio_part = self.engine.tts( + text=part, + language=self.yourtts_language, + **speaker_argument + ) + if audio_part is not None and len(audio_part) > 0: + if torch.is_tensor(audio_part): + audio_part = audio_part.detach().cpu() + if not is_audio_data_valid(audio_part): + error = 'audio_part not valid' + return False, error + part_tensor = self._tensor_type(audio_part).unsqueeze(0) + if part_tensor.numel() == 0: + error = 'part_tensor not valid' + return False, error + if part[-1].isalnum() or part[-1] == '—': + part_tensor = trim_audio(part_tensor.squeeze(0), self.params['samplerate'], 0.001, trim_audio_buffer).unsqueeze(0) + self.audio_segments.append(part_tensor) + else: + error = 'audio_part not valid' + return False, error + except IndexError as e: + error = f'convert() error at {e} segment: {part}' + return False, error + except Exception as e: + return False, self.log_exception(f'{self.__class__.__name__}.convert() part loop', e) + if self.audio_segments: + segment_tensor = torch.cat(self.audio_segments, dim=-1) + if not self.audio_save(sentence_file, segment_tensor, self.params['samplerate']): + error = f'audio_save() error: cannot save {sentence_file}' + return False, error + self.audio_segments = [] + if not os.path.exists(sentence_file): + error = f'Cannot create {sentence_file}' + return False, error + return True, None + else: + error = f"TTS engine {self.session['tts_engine']} failed to load!" + return False, error + except Exception as e: + self.cleanup_memory() + self.audio_segments = [] + return False, self.log_exception(f'{self.__class__.__name__}.convert()',e) + + def create_vtt(self, all_sentences:list)->bool: + if self._build_vtt_file(all_sentences): + return True + return False \ No newline at end of file diff --git a/lib/classes/tts_manager.py b/lib/classes/tts_manager.py new file mode 100644 index 0000000..2896a85 --- /dev/null +++ b/lib/classes/tts_manager.py @@ -0,0 +1,24 @@ +from typing import Any +from lib.classes.tts_registry import TTSRegistry + +class TTSManager: + + def __init__(self, session:Any)->None: + self.session = session + engine_name = session.get("tts_engine") + if engine_name is None: + raise ValueError("session['tts_engine'] is missing") + try: + engine_cls = TTSRegistry.ENGINES[engine_name] + except KeyError: + raise ValueError( + f"Invalid tts_engine '{engine_name}'. " + f"Expected one of: {', '.join(TTSRegistry.ENGINES)}" + ) + self.engine = engine_cls(session) + + def set_voice(self, block_voice:str|None)->tuple: + return self.engine._set_voice(block_voice) + + def convert_sentence2audio(self, sentence_file:str, sentence:str, **kwargs)->tuple: + return self.engine.convert(sentence_file, sentence, **kwargs) \ No newline at end of file diff --git a/lib/classes/tts_registry.py b/lib/classes/tts_registry.py new file mode 100644 index 0000000..933857a --- /dev/null +++ b/lib/classes/tts_registry.py @@ -0,0 +1,17 @@ +class TTSRegistry: + + ENGINES = {} + + def __init_subclass__(cls, *, name, **kwargs): + super().__init_subclass__(**kwargs) + if not isinstance(name, str): + raise TypeError("TTS engine name must be a string") + if name in TTSRegistry.ENGINES: + raise ValueError(f"Duplicate TTS engine name: {name}") + TTSRegistry.ENGINES[name] = cls + + def __init__(self, session): + self.session = session + + def convert(self, sentence_number, sentence): + raise NotImplementedError \ No newline at end of file diff --git a/lib/classes/voice_extractor.py b/lib/classes/voice_extractor.py new file mode 100644 index 0000000..f58b0cc --- /dev/null +++ b/lib/classes/voice_extractor.py @@ -0,0 +1,351 @@ +import os, subprocess, shutil, gradio as gr + +from typing import Any +from pydub import AudioSegment, silence +from pydub.silence import detect_nonsilent +from pathlib import Path + +from lib.classes.tts_engines.common.audio import get_audio_duration +from lib.classes.subprocess_pipe import SubprocessPipe +from lib.conf import systems, devices, voice_formats, default_audio_proc_samplerate +from lib.conf_models import TTS_ENGINES + +class VoiceExtractor: + + def __init__(self, session:Any, voice_file:str, voice_name:str, final_voice_file:str|None=None)->None: + from lib.classes.tts_engines.common.preset_loader import load_engine_presets + self.wav_file = None + self.session = session + self.voice_file = voice_file + self.voice_name = voice_name + session_device = str(session.get('device', 'CPU')).upper() + resolved_device_name = 'CUDA' if session_device in {'CUDA', 'ROCM', 'JETSON'} else session_device + resolved_device = devices.get(resolved_device_name, devices['CPU']) + self.device = resolved_device['proc'] if resolved_device.get('found') else devices['CPU']['proc'] + self.output_dir = self.session['voice_dir'] + self.demucs_dir = os.path.join(self.output_dir,'htdemucs', voice_name) + self.voice_track = os.path.join(self.demucs_dir, 'vocals.wav') + self.proc_voice_file = os.path.join(self.session['voice_dir'], f'{self.voice_name}_proc.wav') + self.final_voice_file = final_voice_file if final_voice_file is not None else os.path.join(self.session['voice_dir'], f'{self.voice_name}.wav') + self.silence_threshold = -60 + self.is_gui_process = session['is_gui_process'] + if self.is_gui_process: + self.progress_bar=gr.Progress(track_tqdm=False) + models = load_engine_presets(session['tts_engine']) + self.samplerate = models[session['fine_tuned']]['samplerate'] + os.makedirs(self.demucs_dir, exist_ok=True) + + def _validate_format(self)->tuple[bool,str]: + file_extension = os.path.splitext(self.voice_file)[1].lower() + if file_extension in voice_formats: + msg = 'Input file is valid' + return True,msg + error = f'Unsupported format: {file_extension}' + return False,error + + def _convert2wav(self)->tuple[bool, str]: + try: + msg = 'Convert to WAV…' + print(msg) + if self.is_gui_process: + self.progress_bar(1, desc=msg) + self.wav_file = os.path.join(self.session['voice_dir'], f'{self.voice_name}.wav') + cmd = [ + shutil.which('ffmpeg'), '-hide_banner', '-nostats', '-i', self.voice_file, + '-ac', '1', '-y', self.wav_file + ] + proc_pipe = SubprocessPipe(cmd, is_gui_process=self.is_gui_process, total_duration=get_audio_duration(self.voice_file), msg='Demux') + if not os.path.exists(self.wav_file) or os.path.getsize(self.wav_file) == 0: + error = f'_convert2wav output error: {self.wav_file} was not created or is empty.' + else: + if proc_pipe.result: + msg = 'WAV conversion successful' + return True, msg + else: + error = f'_convert2wav() SubprocessPipe error' + except subprocess.CalledProcessError as e: + try: + stderr_text = e.stderr.decode('utf-8', errors='replace') + except Exception: + stderr_text = str(e) + error = f'_convert2wav ffmpeg.Error: {stderr_text}' + except Exception as e: + error = f'_convert2wav() error: {e}' + return False, error + + def _detect_background(self)->tuple[bool,bool,str]: + try: + from lib.classes.background_detector import pyannote_patch, BackgroundDetector + pyannote_patch() + msg = 'Detecting if any background noise or music…' + print(msg) + if self.is_gui_process: + self.progress_bar(1, desc=msg) + detector = BackgroundDetector(wav_file=self.wav_file, device=self.device) + status, report = detector.detect(vad_ratio_thresh=0.27) + if report: + print(report) + if status: + msg = 'Background detected…' + else: + msg = 'No background detected' + return True, status, msg + else: + error = 'detector.detect() could not analyze the audio file' + return False, False, error + except Exception as e: + error = f'_detect_background() error: {e}' + print(error) + return False, False, error + + def _demucs_voice(self)->tuple[bool, str]: + from demucs.pretrained import get_model + from demucs.apply import apply_model + from demucs.audio import AudioFile + + def demucs_callback(d: dict): + nonlocal last_percent + offset = d.get("segment_offset") + if offset is not None: + progress_state["current"] = max(progress_state["current"], offset) + percent = min(progress_state["current"] / total_length, 1.0) + if percent - last_percent >= 0.01: + last_percent = percent + print(f"\r[Demucs] {percent*100:.2f}%", end="", flush=True) + if self.is_gui_process: + self.progress_bar(percent, desc=msg) + + error = '_demucs_voice() error' + try: + system = self.session['system'] + last_percent = 0.0 + msg = 'Extracting Voice…' + if self.is_gui_process: + self.progress_bar(0.0, desc=msg) + model = get_model(name="htdemucs") + model.to(self.device) + model.eval() + audio_result = AudioFile(self.wav_file).read( + streams=0, + samplerate=model.samplerate, + channels=model.audio_channels + ) + if isinstance(audio_result, (tuple, list)): + wav = audio_result[0] + else: + wav = audio_result + if wav.dim() == 2: + wav = wav.unsqueeze(0) + wav = wav.to(self.device) + total_length = wav.shape[-1] + progress_state = {"current": 0} + result = apply_model( + model, + wav, + device=self.device, + split=True, + progress=False, + callback=demucs_callback, + callback_arg={} + ) + if self.is_gui_process: + self.progress_bar(1.0, desc=msg) + print("\r[Demucs] 100.00%") + sources = result[0] if isinstance(result, (tuple, list)) else result + vocals_idx = model.sources.index("vocals") + vocals = sources[0, vocals_idx] + if vocals.dim() > 1 and vocals.shape[0] > 1: + vocals = vocals.mean(dim=0, keepdim=True) + audio_np = vocals.detach().cpu().numpy() + audio_np = audio_np.T + audio_np = (audio_np * 32767.0).clip(-32768, 32767).astype("int16") + audio_segment = AudioSegment( + audio_np.tobytes(), + frame_rate=model.samplerate, + sample_width=2, + channels=audio_np.shape[1] if audio_np.ndim > 1 else 1 + ) + audio_segment.export(self.voice_track, format="wav") + msg = 'Completed' + return True, msg + except Exception as e: + error = f'_demucs_voice() error: {str(e)}' + return False, error + + + def _remove_silences(self, audio:AudioSegment, silence_threshold:int, min_silence_len:int=200, keep_silence:int=300)->AudioSegment: + msg = "Removing empty audio…" + print(msg) + if self.is_gui_process: + self.progress_bar(0, desc=msg) + chunks = silence.split_on_silence( + audio, + min_silence_len = min_silence_len, + silence_thresh = silence_threshold, + keep_silence = keep_silence + ) + if not chunks: + return audio + final_audio = AudioSegment.silent(duration = 0) + total = len(chunks) + for i, chunk in enumerate(chunks): + final_audio += chunk + if self.is_gui_process: + percent = int(i / max(1, total - 1)) + self.progress_bar(percent, desc=msg) + final_audio.export(self.voice_track, format = "wav") + return final_audio + + def _trim_and_clean(self, silence_threshold:int, min_silence_len:int=200, chunk_size:int=100)->tuple[bool, str]: + try: + import numpy as np + audio = AudioSegment.from_file(self.voice_track) + audio = self._remove_silences( + audio, + silence_threshold, + min_silence_len = min_silence_len + ) + total_duration = len(audio) + min_required_duration = 20000 if self.session["tts_engine"] == TTS_ENGINES["BARK"] else 12000 + msg = "Removing long pauses…" + print(msg) + if self.is_gui_process: + self.progress_bar(0, desc=msg) + if total_duration <= min_required_duration: + msg = f"Audio is only {total_duration / 1000:.2f}s long; skipping audio trimming…" + return True, msg + if total_duration > min_required_duration * 2: + window = min_required_duration + hop = max(1, window // 4) + best_score = -float("inf") + best_start = 0 + total_steps = ((total_duration - window) // hop) + 1 + min_dbfs = silence_threshold + 10 + for i, start in enumerate(range(0, total_duration - window + 1, hop)): + chunk = audio[start:start + window] + if chunk.dBFS == float("-inf") or chunk.dBFS < min_dbfs: + continue + samples = np.array(chunk.get_array_of_samples()).astype(np.float32) + if chunk.channels > 1: + samples = samples.reshape((-1, chunk.channels)).mean(axis=1) + spectrum = np.abs(np.fft.rfft(samples)) + p = spectrum / (np.sum(spectrum) + 1e-10) + entropy = -np.sum(p * np.log2(p + 1e-10)) + if entropy > best_score: + best_score = entropy + best_start = start + if self.is_gui_process: + percent = int(i / max(1, total_steps - 1)) + self.progress_bar(percent, desc=msg) + best_end = best_start + window + nonsilent = detect_nonsilent( + audio, + min_silence_len = min_silence_len, + silence_thresh = silence_threshold + ) + if nonsilent: + best_start = max(best_start, nonsilent[0][0]) + best_end = min(best_end, nonsilent[-1][1]) + else: + best_start = 0 + best_end = total_duration + trimmed_audio = audio[best_start:best_end] + trimmed_audio.export(self.voice_track, format = "wav") + msg = "Audio trimmed and cleaned!" + return True, msg + except Exception as e: + error = f"_trim_and_clean() error: {e}" + print(error) + return False, error + + def normalize_audio(self, src_file:str, proc_file:str, dst_file:str)->tuple[bool, str]: + try: + msg = 'Normalize audio…' + print(msg) + if self.is_gui_process: + self.progress_bar(0, desc=msg) + cmd = [shutil.which('ffmpeg'), '-hide_banner', '-nostats', '-progress', 'pipe:2', '-i', src_file] + filter_complex = ( + 'agate=threshold=-25dB:ratio=1.4:attack=10:release=250,' + 'afftdn=nf=-70,' + 'acompressor=threshold=-20dB:ratio=2:attack=80:release=200:makeup=1dB,' + 'loudnorm=I=-14:TP=-3:LRA=7:linear=true,' + 'equalizer=f=150:t=q:w=2:g=1,' + 'equalizer=f=250:t=q:w=2:g=-3,' + 'equalizer=f=3000:t=q:w=2:g=2,' + 'equalizer=f=5500:t=q:w=2:g=-4,' + 'equalizer=f=9000:t=q:w=2:g=-2,' + 'highpass=f=63[audio]' + ) + cmd += [ + '-filter_complex', filter_complex, + '-map', '[audio]', + '-ar', f'{default_audio_proc_samplerate}', + '-y', proc_file + ] + try: + proc_pipe = SubprocessPipe(cmd, is_gui_process=self.is_gui_process, total_duration=get_audio_duration(src_file), msg='Normalize') + if not os.path.exists(proc_file) or os.path.getsize(proc_file) == 0: + error = f'normalize_audio() error: {proc_file} was not created or is empty.' + else: + if proc_pipe.result: + if proc_file != dst_file: + os.replace(proc_file, dst_file) + shutil.rmtree(self.demucs_dir, ignore_errors = True) + msg = 'Audio normalization successful!' + return True, msg + else: + error = f'normalize_audio() SubprocessPipe Error.' + except subprocess.CalledProcessError as e: + stderr = getattr(e, "stderr", None) + if isinstance(stderr, (bytes, bytearray)): + stderr_msg = stderr.decode(errors="replace") + else: + stderr_msg = str(e) + error = f'normalize_audio() ffmpeg.Error: {stderr_msg}' + except FileNotFoundError as e: + error = f'normalize_audio() FileNotFoundError: {e}. Input file or FFmpeg PATH not found!' + except Exception as e: + error = f'normalize_audio() error: {e}' + return False, error + + def extract_voice(self)->tuple[bool,str|None]: + result = 0 + msg = None + try: + result, msg = self._validate_format() + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + if result: + result, msg = self._convert2wav() + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + if result: + result, status, msg = self._detect_background() + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + if result: + if status: + result, msg = self._demucs_voice() + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + else: + self.voice_track = self.wav_file + if result: + result, msg = self._trim_and_clean(self.silence_threshold) + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + if result: + result, msg = self.normalize_audio(self.voice_track, self.proc_voice_file, self.final_voice_file) + print(msg) + if self.is_gui_process: + self.progress_bar(int(result), desc=msg) + except Exception as e: + msg = f'extract_voice() error: {e}' + shutil.rmtree(self.demucs_dir, ignore_errors = True) + return result, msg \ No newline at end of file diff --git a/lib/classes/vram_detector.py b/lib/classes/vram_detector.py new file mode 100644 index 0000000..ca3cf62 --- /dev/null +++ b/lib/classes/vram_detector.py @@ -0,0 +1,206 @@ +import os, platform, json, psutil, subprocess, re, math + +from typing import Any +from lib.conf import NATIVE, FULL_DOCKER + +class VRAMDetector: + def __init__(self): + self.system = platform.system().lower() + + def _in_docker(self)->bool: + if os.path.exists("/.dockerenv"): + return True + try: + with open("/proc/1/cgroup", "rt", errors="ignore") as f: + return any("docker" in line or "containerd" in line for line in f) + except Exception: + return False + + def _docker_memory(self): + paths = [ + "/sys/fs/cgroup/memory.max", # cgroups v2 + "/sys/fs/cgroup/memory/memory.limit_in_bytes" # cgroups v1 + ] + for p in paths: + if os.path.exists(p): + try: + with open(p, "rt") as f: + val = f.read().strip() + if val.isdigit(): + limit = int(val) + if limit > 0 and limit < (1 << 60): + used = psutil.virtual_memory().used + free = max(limit - used, 0) + return free, limit + except Exception: + pass + mem = psutil.virtual_memory() + return mem.available, mem.total + + @staticmethod + def _fmt(b:int)->float: + if not b: return 0.0 + return float(f"{b/(1024**3):.2f}") + + @staticmethod + def _ceil_gb(b: int) -> int: + return math.ceil(b / (1024 ** 3)) if b > 0 else 0 + + def detect_vram(self, device:str, script_mode:str, as_json:bool=False)->Any: + info = {} + in_docker = self._in_docker() + try: + import torch + # ───────────────────────────── Jetson (Unified Memory) + if device == 'jetson': + if os.path.exists('/etc/nv_tegra_release'): + try: + out = subprocess.check_output(['tegrastats','--interval','1000'],timeout=3).decode() + m = re.search(r'RAM\s+(\d+)/(\d+)MB',out) + if m: + used = int(m.group(1)) * 1024 * 1024 + total = int(m.group(2)) * 1024 * 1024 + free = total - used + info = { + "os": self.system, + "device_type": "jetson", + "device_name": "NVIDIA Jetson (Unified Memory)", + "used_bytes": used, + "free_bytes": free, + "total_bytes": total, + "used_vram_gb": self._ceil_gb(used), + "free_vram_gb": self._ceil_gb(free), + "total_vram_gb": self._ceil_gb(total), + "note": "Jetson uses unified system RAM as VRAM." + } + return json.dumps(info, indent=2) if as_json else info + except (subprocess.CalledProcessError, Exception): + mem = psutil.virtual_memory() + info = { + "os": self.system, + "device_type": "jetson", + "device_name": "NVIDIA Jetson (Unified Memory)", + "free_bytes": mem.available, + "total_bytes": mem.total, + "free_vram_gb": self._ceil_gb(mem.available), + "total_vram_gb": self._ceil_gb(mem.total), + "note": "tegrastats unavailable; reporting system RAM." + } + return json.dumps(info, indent=2) if as_json else info + + # ───────────────────────────── CUDA (NVIDIA) + elif device == 'cuda': + if torch.cuda.is_available(): + free, total = torch.cuda.mem_get_info() + alloc = torch.cuda.memory_allocated() + resv = torch.cuda.memory_reserved() + info = { + "os": self.system, + "device_type": "cuda", + "device_name": torch.cuda.get_device_name(0), + "free_bytes": free, + "total_bytes": total, + "allocated_bytes": alloc, + "reserved_bytes": resv, + "free_vram_gb": self._ceil_gb(free), + "total_vram_gb": self._ceil_gb(total), + "allocated_vram_gb": self._ceil_gb(alloc), + "reserved_vram_gb": self._ceil_gb(resv), + } + return json.dumps(info, indent=2) if as_json else info + + # ─────────────────────────── ROCm (AMD) + elif hasattr(torch, 'hip') and torch.hip.is_available(): + free, total = torch.hip.mem_get_info() + alloc = torch.hip.memory_allocated() + resv = torch.hip.memory_reserved() + info = { + "os": self.system, + "device_type": "rocm", + "device_name": torch.hip.get_device_name(0), + "free_bytes": free, + "total_bytes": total, + "allocated_bytes": alloc, + "reserved_bytes": resv, + "free_vram_gb": self._ceil_gb(free), + "total_vram_gb": self._ceil_gb(total), + "allocated_vram_gb": self._ceil_gb(alloc), + "reserved_vram_gb": self._ceil_gb(resv), + } + return json.dumps(info, indent=2) if as_json else info + + # ─────────────────────────── Intel XPU (oneAPI) + elif hasattr(torch, 'xpu') and torch.xpu.is_available(): + free, total = torch.xpu.mem_get_info() + alloc = torch.xpu.memory_allocated() + resv = torch.xpu.memory_reserved() + info = { + "os": self.system, + "device_type": "xpu", + "device_name": torch.xpu.get_device_name(0), + "free_bytes": free, + "total_bytes": total, + "allocated_bytes": alloc, + "reserved_bytes": resv, + "free_vram_gb": self._ceil_gb(free), + "total_vram_gb": self._ceil_gb(total), + "allocated_vram_gb": self._ceil_gb(alloc), + "reserved_vram_gb": self._ceil_gb(resv), + } + return json.dumps(info, indent=2) if as_json else info + + # ─────────────────────────── Apple MPS (Metal) + elif hasattr(torch.backends, 'mps') and torch.backends.mps.is_available(): + mem = psutil.virtual_memory() + info = { + "os": self.system, + "device_type": "mps", + "device_name": "Apple GPU (Metal)", + "free_bytes": mem.available, + "total_bytes": mem.total, + "free_vram_gb": self._ceil_gb(mem.available), + "total_vram_gb": self._ceil_gb(mem.total), + "note": "PyTorch MPS does not expose memory info; reporting system RAM" + } + return json.dumps(info, indent=2) if as_json else info + + except Exception: + pass + + # ─────────────────────────── CPU / Docker fallback + if script_mode == FULL_DOCKER and in_docker: + free, total = self._docker_memory() + info = { + "os": self.system, + "device_type": "docker", + "device_name": "Docker Container Memory", + "free_bytes": free, + "total_bytes": total, + "free_vram_gb": self._ceil_gb(free), + "total_vram_gb": self._ceil_gb(total), + "note": "Running inside Docker container." + } + else: + mem = psutil.virtual_memory() + info = { + "os": self.system, + "device_type": "cpu", + "device_name": "System RAM", + "free_bytes": mem.available, + "total_bytes": mem.total, + "free_vram_gb": self._ceil_gb(mem.available), + "total_vram_gb": self._ceil_gb(mem.total), + } + + if as_json: + return json.dumps(info, indent=2) + + total_vram_bytes = info.get('total_bytes', 4096) + free_vram_bytes = info.get('free_bytes', 0) + info['total_vram_gb'] = info.get('total_vram_gb', self._ceil_gb(total_vram_bytes)) + info['free_vram_gb'] = info.get('free_vram_gb', self._ceil_gb(free_vram_bytes)) + + return { + "total_vram_gb": info['total_vram_gb'], + "free_vram_gb": info['free_vram_gb'] + } \ No newline at end of file diff --git a/lib/conf.py b/lib/conf.py new file mode 100644 index 0000000..806aa53 --- /dev/null +++ b/lib/conf.py @@ -0,0 +1,233 @@ +import os, tempfile, sys, re + +debug_mode = False + +DEVICE_SYSTEM = sys.platform + +systems = { + "LINUX": "linux", + "MACOS": "darwin", + "WINDOWS": "win32" +} + +archs = { + "AMD64": "amd64", + "X86_64": "x86_64", + "AARCH64": "aarch64", + "ARM64": "arm64" +} + +cli_options = [ + '--script_mode', '--docker_mode', '--session', + '--share', '--headless', '--ebook', + '--ebooks_dir', '--text', '--language', + '--translate', '--voice', '--voice_map', + '--device', '--tts_engine', '--custom_model', + '--fine_tuned', '--output_format', '--output_channel', + '--temperature', '--length_penalty', '--num_beams', + '--repetition_penalty', '--top_k', '--top_p', + '--speed', '--enable_text_splitting', '--text_temp', + '--waveform_temp', '--output_dir', '--version', + '--docker_device', '--workflow', '--help' +] + +workflow_id = 'ba800d22-ee51-11ef-ac34-d4ae52cfd9ce' +fernet_key = '0TkxI0iP0jmhT0vJ-AUpM2U4SAX3urVtrx1q8lwTynI=' +fernet_data = b'gAAAAABptJuHZS_rMQRTmqzy-i5UFTh6HqcbklSV6oZsRpZXa7uSEveAMv1daIFzzeeWZW0wDV-frFlzk_gJPc5tr_YVKW-Eg8evw9Wll1rWrvIAfT0YQywaUe188qP1dg-GOJDM7Ul1' + +# --------------------------------------------------------------------- +# Version and runtime config +# --------------------------------------------------------------------- +prog_version = (lambda: open('VERSION.txt').read().strip())() + +NATIVE = 'native' +FULL_DOCKER = 'full_docker' +BUILD_DOCKER = 'build_docker' + +# --------------------------------------------------------------------- +# Python environment references +# --------------------------------------------------------------------- +min_python_version = (3,10) +max_python_version = (3,12) +python_env_dir = os.path.abspath(os.path.join('.','python_env')) +requirements_file = os.path.abspath(os.path.join('.','requirements.txt')) + +# --------------------------------------------------------------------- +# Hardware mappings +# --------------------------------------------------------------------- +devices = { + "CPU": {"proc": "cpu", "found": True}, + "CUDA": {"proc": "cuda", "found": False}, + "MPS": {"proc": "mps", "found": False}, + "ROCM": {"proc": "rocm", "found": False}, + "XPU": {"proc": "xpu", "found": False}, + "JETSON": {"proc": "jetson", "found": False}, +} + +device_info_json = '.device_info.json' +device_info_dict = {"gpu_count": 0, "gpu_backend": None} + +default_device = devices['CPU']['proc'] +default_gpu_wiki = 'GPU howto wiki' +default_py_major = sys.version_info.major +default_py_minor = sys.version_info.minor +default_pytorch_url = 'https://download.pytorch.org/whl' +default_pytorch_amd_url = 'https://repo.radeon.com/rocm/windows' +default_torchcodec_arm_url = 'https://github.com/ROBERT-MCDOWELL/py-pkg/releases/download' +default_jetson_url = 'https://github.com/ROBERT-MCDOWELL/py-pkg/releases/download' + +torch_matrix = { + # CPU + "cpu": {"os": list(systems.values()), "arch": list(archs.values()), "base": "2.7.1", "last": "2.11.0", "codec": "0.11.1"}, + # CUDA + "cu118": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64']], "base": "2.7.1", "last": "2.7.1", "codec": ""}, + "cu121": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64']], "base": "2.5.1", "last": "2.5.1", "codec": ""}, + "cu124": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64']], "base": "2.6.0", "last": "2.6.0", "codec": ""}, + "cu126": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64'], archs['AARCH64']], "base": "2.7.1", "last": "2.11.0", "codec": "0.11.1"}, + "cu128": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64'], archs['AARCH64']], "base": "2.7.1", "last": "2.9.0", "codec": "0.7.0"}, + "cu129": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64'], archs['AARCH64']], "base": "2.7.1", "last": "2.9.0", "codec": "0.7.0"}, + "cu130": {"os": [systems['LINUX'],systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64'], archs['AARCH64']], "base": "2.7.1", "last": "2.11.0", "codec": "0.11.1"}, + # ROCm + "rocm5.7": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.3.1", "last": "2.3.1", "codec": ""}, + "rocm6.0": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.4.1", "last": "2.4.1", "codec": ""}, + "rocm6.1": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.6.0", "last": "2.6.0", "codec": ""}, + "rocm6.2": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.5.1", "last": "2.5.1", "codec": ""}, + "rocm6.2.4": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.7.1", "last": "2.7.1", "codec": ""}, + "rocm6.3": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.7.1", "last": "2.9.1", "codec": "0.9.0"}, + "rocm7.0": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.10.0", "last": "2.10.0", "codec": "0.10.0"}, + "rocm7.1": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.11.0", "last": "2.11.0", "codec": "0.11.1"}, + "rocm7.2": {"os": [systems['LINUX']], "arch": [archs['X86_64']], "base": "2.11.0", "last": "2.11.0", "codec": "0.11.1"}, + "rocm-rel-7.2.1": {"os": [systems['WINDOWS']], "arch": [archs['AMD64']], "base": "2.9.1", "last": "2.9.1", "codec": "0.11.1"}, + # MPS + "mps": {"os": [systems['MACOS']], "arch": [archs['ARM64']], "base": "2.7.1", "last": "2.11.0", "codec": "0.11.1"}, + # XPU + "xpu": {"os": [systems['LINUX'], systems['WINDOWS']], "arch": [archs['X86_64'], archs['AMD64']], "base": "2.7.1", "last": "2.11.0", "codec": "0.11.1"}, + # JETSON + "jetson51": {"os": [systems['LINUX']], "arch": [archs['AARCH64']], "base": "2.4.1", "last": "2.4.1", "codec": ""}, + "jetson60": {"os": [systems['LINUX']], "arch": [archs['AARCH64']], "base": "2.4.0", "last": "2.4.0", "codec": ""}, + "jetson61": {"os": [systems['LINUX']], "arch": [archs['AARCH64']], "base": "2.5.0", "last": "2.5.0", "codec": ""}, +} + +cuda_version_range = {"min": (11,8), "max": (13,0)} +rocm_version_range = {"min": (5,7), "max": (7,2)} +mps_version_range = {"min": (0,0), "max": (0,0)} +xpu_version_range = {"min": (0,0), "max": (0,0)} +jetson_version_range = {"min": (5,1), "max": (6,1)} + +############### SETTINGS BELOW CAN BE MODIFIED ############### + +# --------------------------------------------------------------------- +# Global paths +# --------------------------------------------------------------------- +root_dir = os.path.dirname(os.path.abspath(__file__)) +tmp_dir = os.path.abspath('tmp') +run_dir = os.path.abspath('run') +gradio_cache_dir = os.path.normpath(os.path.join(run_dir, 'gradio')) +models_dir = os.path.abspath('models') +ebooks_dir = os.path.abspath('ebooks') +voices_dir = os.path.abspath('voices') +voices_url = 'https://huggingface.co/datasets/ebook2audiobook/E2A-Voices/resolve/main/voices.zip?download=true' +tts_dir = os.path.join(models_dir, 'tts') +components_dir = os.path.abspath('components') +tempfile.tempdir = run_dir + +# --------------------------------------------------------------------- +# Environment setup +# --------------------------------------------------------------------- +os.environ['PYTHONUTF8'] = '1' +os.environ['PYTHONIOENCODING'] = 'utf-8' +os.environ['COQUI_TOS_AGREED'] = '1' +os.environ['PYTHONIOENCODING'] = 'utf-8' +os.environ['CALIBRE_NO_NATIVE_FILEDIALOGS'] = '1' +os.environ['CALIBRE_TEMP_DIR'] = run_dir +os.environ['CALIBRE_CACHE_DIRECTORY'] = run_dir +os.environ['CALIBRE_CONFIG_DIRECTORY'] = run_dir +os.environ['TMPDIR'] = run_dir +os.environ['GRADIO_DEBUG'] = '0' +os.environ['DO_NOT_TRACK'] = 'True' +os.environ['HUGGINGFACE_HUB_CACHE'] = tts_dir +os.environ['HF_HOME'] = tts_dir +os.environ['HF_DATASETS_CACHE'] = tts_dir +os.environ['HF_HUB_DISABLE_SYMLINKS_WARNING'] = '1' +os.environ['BARK_CACHE_DIR'] = tts_dir +os.environ['TTS_CACHE'] = tts_dir +os.environ['TORCH_HOME'] = tts_dir +os.environ['TTS_HOME'] = models_dir +os.environ['XDG_CACHE_HOME'] = models_dir +os.environ['XDG_CONFIG_HOME'] = f'{models_dir}/config' +os.environ['ARGOS_PACKAGES_DIR'] = f'{models_dir}/argos-translate/packages' +os.environ['ARGOS_COMPUTE_TYPE'] = 'float32' +os.environ['MPLCONFIGDIR'] = f'{models_dir}/matplotlib' +os.environ['TESSDATA_PREFIX'] = f'{models_dir}/tessdata' +os.environ['STANZA_RESOURCES_DIR'] = os.path.join(models_dir, 'stanza') +os.environ['ARGOS_TRANSLATE_PACKAGE_PATH'] = os.path.join(models_dir, 'argostranslate') +os.environ['TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD'] = '1' +os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' +os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'expandable_segments:True' +os.environ['PYTORCH_HIP_ALLOC_CONF'] = 'expandable_segments:True' +os.environ['CUDA_MODULE_LOADING'] = 'LAZY' +os.environ['CUDA_DEVICE_ORDER'] = 'PCI_BUS_ID' +os.environ['CUDA_CACHE_MAXSIZE'] = '2147483648' +os.environ['SUNO_OFFLOAD_CPU'] = 'FALSE' +os.environ['SUNO_USE_SMALL_MODELS'] = 'FALSE' +os.environ['TORCH_CPP_LOG_LEVEL'] = 'ERROR' +os.environ['MIOPEN_FIND_MODE'] = '2' +os.environ['MIOPEN_FIND_ENFORCE'] = '0' +os.environ['MIOPEN_LOG_LEVEL'] = '2' +os.environ['MIOPEN_DEBUG_CONV_IMPLICIT_GEMM'] = '0' +os.environ['HSA_NO_SCRATCH_RECLAIM'] = '0' +os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE' +os.environ['OMP_NUM_THREADS'] = '1' +if DEVICE_SYSTEM == systems['WINDOWS']: + os.environ['ESPEAK_DATA_PATH'] = os.path.expandvars(r"%USERPROFILE%\scoop\apps\espeak-ng\current\espeak-ng-data") + +# --------------------------------------------------------------------- +# Global settings +# --------------------------------------------------------------------- +max_upload_size = '6GB' # MB or GB +tmp_expire = 60 # days +max_ebook_textarea_length = 1024 # chars + +# --------------------------------------------------------------------- +# Interface configuration +# --------------------------------------------------------------------- +interface_host = '0.0.0.0' +interface_port = 7860 +interface_shared_tmp_expire = 3 # in days +interface_concurrency_limit = 1 # or None for unlimited multiple parallele user conversion + +interface_component_options = { + "gr_tab_xtts_params": True, + "gr_tab_bark_params": True, + "gr_group_voice_file": True, + "gr_group_custom_model": True +} + +# --------------------------------------------------------------------- +# UI directories +# --------------------------------------------------------------------- +audiobooks_gradio_dir = os.path.abspath(os.path.join('audiobooks','gui','gradio')) +audiobooks_host_dir = os.path.abspath(os.path.join('audiobooks','gui','host')) +audiobooks_cli_dir = os.path.abspath(os.path.join('audiobooks','cli')) + +# --------------------------------------------------------------------- +# files and audio supported formats +# --------------------------------------------------------------------- +ebook_formats = [ + ".epub", ".mobi", ".azw3", ".fb2", ".lrf", ".rb", ".snb", ".tcr", ".pdf", + ".txt", ".rtf", ".doc", ".docx", ".html", ".odt", ".azw", ".tiff", ".tif", + ".png", ".jpg", ".jpeg", ".bmp", ".pptx", ".zip" +] +voice_formats = [ + ".mp4", ".m4b", ".m4a", ".mp3", ".wav", ".aac", ".flac", ".alac", ".ogg", + ".aiff", ".aif", ".wma", ".dsd", ".opus", ".pcmu", ".pcma", ".gsm" +] +output_formats = [ + "aac", "flac", "mp3", "m4b", "m4a", "mp4", "mov", "ogg", "wav", "webm" +] +default_audio_proc_samplerate = 24000 +default_audio_proc_format = 'flac' # or 'ogg', 'wav' (wav format is ok but limited to process files < 4GB) +default_output_format = 'm4b' +default_output_channel = 'mono' # mono or stereo +default_output_split = False +default_output_split_hours = '6' # if the final ouput esceed outpout_split_hours * 2 hours the final file will be splitted by outpout_split_hours + the end if any. \ No newline at end of file diff --git a/lib/conf_lang.py b/lib/conf_lang.py new file mode 100644 index 0000000..a3f187e --- /dev/null +++ b/lib/conf_lang.py @@ -0,0 +1,2074 @@ +import os + +install_info = r''' +After the first run, you are free to use your command line with: +# go into ebook2audiobook folder then: +---------------------------------- +# Linux/Mac +ebook2audiobook.sh [options] +# Windows +ebook2audiobook.cmd [options] +---------------------------------- +or +---------------------------------- +# Linux/Mac +conda activate ./python_env +# Windows +conda activate .\python_env + +python app.py [options] +conda deactivate +---------------------------------- +Available command options, type: +# Linux/Mac +./ebook2audiobook.sh --help +# Windows: +ebook2audiobook.cmd --help +# or if conda ./python_env activated: +python app.py --help +''' +session_info = 'In headless mode, store it in case of interruption, crash,\nor reuse of a custom model or custom voice.\nYou can resume the conversion with the --session option.\n************************************************************************' +default_language_code = 'eng' # ISO-639-3 +year_to_decades_languages = ['eng', 'deu', 'nld', 'nob', 'dan', 'swe'] + +punctuation_switch = { + # Quotes causing hallucinations in some TTS engines + '«': '"', '»': '"', # French-style quotes + '“': '"', '”': '"', # Curly double quotes + '‘': "'", '’': "'", # Curly single quotes + '„': '"', # German-style quote + + # Dashes, underscores & Hyphens that might cause weird pauses + '–': '.', # En dash (Unicode U+2013) + "_": " ", # U+005F LOW LINE + "‗": " ", # U+2017 DOUBLE LOW LINE + "¯": " ", # U+00AF MACRON (technically an overline) + "ˍ": " ", # U+02CD MODIFIER LETTER LOW MACRON + "﹍": " ", # U+FE4D DASHED LOW LINE + "﹎": " ", # U+FE4E CENTRELINE LOW LINE + "﹏": " ", # U+FE4F WAVY LOW LINE + "_": " ", # U+FF3F FULLWIDTH LOW LINE + + # Ellipsis (causes extreme long pauses in TTS) + '...': '…', # standard triple dots replaced with Unicode ellipsis (U+2026) + + # Misinterpreted punctuation that can lead to hallucinations + '‽': '?', # Interrobang (U+200D) -> Replace with "?" + '⁉': '?!', # Exclamation question mark (U+2049) -> "?!" + '‼': '!!', # Double exclamation (U+200C) -> "!!" + + # Odd Unicode punctuation that can create strange effects + '⁈': '?!', # Question mark with an exclamation mark + '⁇': '??', # Double question marks + '﹖': '?', # Small form question mark + '﹗': '!', # Small form exclamation mark + + # Misinterpreted pauses + '۔': '.', # Arabic full stop + '॥': '.', # Devanagari double danda (used in Hindi, Bengali) -> Period + '。': '.', # Chinese full stop -> Period + '።': '.', # Ethiopic full stop + '།': '.', # Tibetan shad + + # Miscellaneous + '፡': ':', # Ethiopic colon + '፤': ';', # Ethiopic semicolon + '।': '.', # Hindi period + '•': '.', # bullet (Unicode: U+2022 + '›': '', # Single Right-Pointing Angle Quotation Mark U+200A + '#': '-', # hashtag by Em Dash + '†': '-', # Dagger (footnote marker) U+2020 + '¶': '-', # Pilcrow (paragraph mark) U+0086 + + # Global replacement + '—': '.', + '(': ',', + ')': ',' +} + +punctuation_list = [ + # Common punctuation in Western languages + '.', ',', ':', ';', '!', '?', '¡', '¿', '«', '»', '"', + # Punctuation used in Arabic and Persian + '،', '؛', '؟', + # Punctuation used in Chinese, Japanese, and Korean (CJK) languages + '。', ',', '、', ':', ';', '!', '?', '·', '…', + # Punctuation used in Indic scripts (e.g., Hindi, Bengali, Tamil) + '।', '॥', + # Punctuation used in Thai + 'ฯ', + # Punctuation used in Ethiopic scripts + '፡', '።', '፣', '፤', '፥', '፦', '፧', + # Punctuation used in Hebrew + '״', + # Punctuation used in Tibetan + "།", "༎", + # Punctuation used in Khmer + '។', '៕', + # Punctuation used in Lao + '໌', 'ໍ', + # Miscellaneous punctuation (pause-inducing, used globally) + '—', '‽' +] +punctuation_list_set = set(punctuation_list) + +punctuation_split_hard = [ + # Western + '.', '!', '?', '…', '‽', '—', # sentence terminators + # Arabic–Persian + '؟', # Arabic question mark (hard) + # CJK (Chinese/Japanese/Korean) + '。', # full stop + '!', '?', # full-width exclamation/question (hard for zho/jpn/kor) + # Indic + '।', '॥', # danda, double danda + # Ethiopic + '።', '፧', # full stop, question mark + # Tibetan + '།', # shad (end of verse/sentence) + # Khmer + '។', '៕' # full stop, end sign +] +punctuation_split_hard_set = set(punctuation_split_hard) + +punctuation_split_soft = [ + # Western + ',', ':', ';', + # Arabic–Persian + '،', + # CJK + ',', '、', '·', + # Thai + 'ฯ', + # Ethiopic + '፡', '፣', '፤', '፥', '፦', + # Hebrew + '״', + # Tibetan + '༎', + # Lao + '໌', 'ໍ' +] +punctuation_split_soft_set = set(punctuation_split_soft) + +chars_remove = [ + '\\', '|', '©', '®', '™', + '*', '`', '\u00A0', '\xa0' +] + +roman_numbers_tuples = [ + ('M', 1000), ('CM', 900), ('D', 500), ('CD', 400), + ('C', 100), ('XC', 90), ('L', 50), ('XL', 40), + ('X', 10), ('IX', 9), ('V', 5), ('IV', 4), ('I', 1) +] + +emojis_list = [ + r"\U0001F600-\U0001F64F", # Emoticons + r"\U0001F300-\U0001F5FF", # Symbols & pictographs + r"\U0001F680-\U0001F6FF", # Transport & map symbols + r"\U0001F1E0-\U0001F1FF", # Flags + r"\U00002700-\U000027BF", # Dingbats + r"\U0001F900-\U0001F9FF", # Supplemental symbols + r"\U00002600-\U000026FF", # Misc symbols + r"\U0001FA70-\U0001FAFF", # Extended pictographs + r"\U00002480-\U00002BEF", # Box drawing, etc. + r"\U0001F018-\U0001F270", + r"\U0001F650-\U0001F67F", + r"\U0001F700-\U0001F77F" +] + +language_math_phonemes = { + "ara": {',': 'فاصلة', '+': 'بلس', '-': 'ناقص', '×': 'في', '÷': 'على', '=': 'يساوي', '>': 'أكبر من', '<': 'أصغر من', 'π': 'باي', '√': 'جذر تربيعي', '^': 'أس', 'ϕ': 'في', 'α': 'ألفا', 'Ω': 'أوميغا', '~': 'مكافئ', '0': 'صفر', '1': 'واحد', '2': 'اثنان', '3': 'ثلاثة', '4': 'أربعة', '5': 'خمسة', '6': 'ستة', '7': 'سبعة', '8': 'ثمانية', '9': 'تسعة', '10': 'عشرة', '11': 'أحد عشر', '25': 'خمسة وعشرون', '13': 'ثلاثة عشر', '14': 'أربعة عشر', '15': 'خمسة عشر', '16': 'ستة عشر', '17': 'سبعة عشر', '18': 'ثمانية عشر', '19': 'تسعة عشر', '20': 'عشرون', '21': 'واحد وعشرون', '22': 'اثنان وعشرون', '23': 'ثلاثة وعشرون', '24': 'أربعة وعشرون', '26': 'ستة وعشرون', '27': 'سبعة وعشرون', '28': 'ثمانية وعشرون', '29': 'تسعة وعشرون', '30': 'ثلاثون', '31': 'واحد وثلاثون', '32': 'اثنان وثلاثون', '33': 'ثلاثة وثلاثون', '34': 'أربعة وثلاثون', '35': 'خمسة وثلاثون', '36': 'ستة وثلاثون', '37': 'سبعة وثلاثون', '38': 'ثمانية وثلاثون', '39': 'تسعة وثلاثون', '40': 'أربعون', '41': 'واحد وأربعون', '42': 'اثنان وأربعون', '43': 'ثلاثة وأربعون', '44': 'أربعة وأربعون', '45': 'خمسة وأربعون', '46': 'ستة وأربعون', '47': 'سبعة وأربعون', '48': 'ثمانية وأربعون', '49': 'تسعة وأربعون', '50': 'خمسون', '51': 'واحد وخمسون', '52': 'اثنان وخمسون', '53': 'ثلاثة وخمسون', '54': 'أربعة وخمسون', '55': 'خمسة وخمسون', '56': 'ستة وخمسون', '57': 'سبعة وخمسون', '58': 'ثمانية وخمسون', '59': 'تسعة وخمسون', '60': 'ستون', '61': 'واحد وستون', '62': 'اثنان وستون', '63': 'ثلاثة وستون', '64': 'أربعة وستون', '65': 'خمسة وستون', '66': 'ستة وستون', '67': 'سبعة وستون', '68': 'ثمانية وستون', '69': 'تسعة وستون', '70': 'واحد وسبعون', '72': 'اثنان وسبعون', '73': 'ثلاثة وسبعون', '74': 'أربعة وسبعون', '75': 'خمسة وسبعون', '76': 'ستة وسبعون', '77': 'سبعة وسبعون', '78': 'ثمانية وسبعون', '79': 'تسعة وسبعون', '80': 'اثنان وثمانون', '81': 'واحد وثمانون', '83': 'ثلاثة وثمانون', '84': 'أربعة وثمانون', '85': 'خمسة وثمانون', '86': 'ستة وثمانون', '87': 'سبعة وثمانون', '88': 'ثمانية وثمانون', '89': 'تسعة وثمانون', '90': 'خمسة وتسعون', '91': 'واحد وتسعون', '92': 'اثنان وتسعون', '93': 'ثلاثة وتسعون', '94': 'أربعة وتسعون', '96': 'ستة وتسعون', '97': 'سبعة وتسعون', '98': 'ثمانية وتسعون', '99': 'تسعة وتسعون', '100': 'مائة', '1000': 'ألف', '∞': 'لانهاية', '±': 'موجب سالب', '∓': 'سالب موجب', '≈': 'يقارب', '≠': 'لا يساوي', '≤': 'أصغر أو يساوي', '≥': 'أكبر أو يساوي', '≡': 'يطابق', '→': 'سهم', '←': 'سهم يسار', '↑': 'سهم أعلى', '↓': 'سهم أسفل', '⇒': 'يستلزم', '⇔': 'إذا وفقط إذا', '∑': 'مجموع', '∏': 'جداء', '∫': 'تكامل', '∂': 'مشتق جزئي', '∇': 'نابلا', '∀': 'لكل', '∃': 'يوجد', '∈': 'ينتمي', '∉': 'لا ينتمي', '∪': 'اتحاد', '∩': 'تقاطع', '⊂': 'مجموعة جزئية', '⊆': 'جزئية أو تساوي', '⊃': 'مجموعة شاملة', '∅': 'مجموعة فارغة', '°': 'درجة', 'ℝ': 'الأعداد الحقيقية', 'ℕ': 'الأعداد الطبيعية', 'ℤ': 'الأعداد الصحيحة', 'ℚ': 'الأعداد النسبية', 'ℂ': 'الأعداد المركبة'}, + "eng": {'.': 'point', '+': 'plus', '-': 'minus', '×': 'times', '÷': 'divided by', '=': 'equals', '>': 'greater than', '<': 'less than', 'π': 'pi', '√': 'square root', '^': 'to the power of', 'ϕ': 'phi', 'α': 'alpha', 'Ω': 'omega', '~': 'equivalent', '0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five', '6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten', '11': 'eleven', '25': 'twenty-five', '13': 'thirteen', '14': 'fourteen', '15': 'fifteen', '16': 'sixteen', '17': 'seventeen', '18': 'eighteen', '19': 'nineteen', '20': 'twenty', '21': 'twenty-one', '22': 'twenty-two', '23': 'twenty-three', '24': 'twenty-four', '26': 'twenty-six', '27': 'twenty-seven', '28': 'twenty-eight', '29': 'twenty-nine', '30': 'thirty', '31': 'thirty-one', '32': 'thirty-two', '33': 'thirty-three', '34': 'thirty-four', '35': 'thirty-five', '36': 'thirty-six', '37': 'thirty-seven', '38': 'thirty-eight', '39': 'thirty-nine', '40': 'forty', '41': 'forty-one', '42': 'forty-two', '43': 'forty-three', '44': 'forty-four', '45': 'forty-five', '46': 'forty-six', '47': 'forty-seven', '48': 'forty-eight', '49': 'forty-nine', '50': 'fifty', '51': 'fifty-one', '52': 'fifty-two', '53': 'fifty-three', '54': 'fifty-four', '55': 'fifty-five', '56': 'fifty-six', '57': 'fifty-seven', '58': 'fifty-eight', '59': 'fifty-nine', '60': 'sixty', '61': 'sixty-one', '62': 'sixty-two', '63': 'sixty-three', '64': 'sixty-four', '65': 'sixty-five', '66': 'sixty-six', '67': 'sixty-seven', '68': 'sixty-eight', '69': 'sixty-nine', '70': 'seventy-one', '72': 'seventy-two', '73': 'seventy-three', '74': 'seventy-four', '75': 'seventy-five', '76': 'seventy-six', '77': 'seventy-seven', '78': 'seventy-eight', '79': 'seventy-nine', '80': 'eighty-two', '81': 'eighty-one', '83': 'eighty-three', '84': 'eighty-four', '85': 'eighty-five', '86': 'eighty-six', '87': 'eighty-seven', '88': 'eighty-eight', '89': 'eighty-nine', '90': 'ninety-five', '91': 'ninety-one', '92': 'ninety-two', '93': 'ninety-three', '94': 'ninety-four', '96': 'ninety-six', '97': 'ninety-seven', '98': 'ninety-eight', '99': 'ninety-nine', '100': 'one hundred', '1000': 'one thousand', '∞': 'infinity', '±': 'plus or minus', '∓': 'minus or plus', '≈': 'approximately', '≠': 'not equal', '≤': 'less than or equal', '≥': 'greater than or equal', '≡': 'identical to', '→': 'arrow', '←': 'left arrow', '↑': 'up arrow', '↓': 'down arrow', '⇒': 'implies', '⇔': 'if and only if', '∑': 'sum', '∏': 'product', '∫': 'integral', '∂': 'partial', '∇': 'nabla', '∀': 'for all', '∃': 'there exists', '∈': 'in', '∉': 'not in', '∪': 'union', '∩': 'intersection', '⊂': 'subset of', '⊆': 'subset or equal', '⊃': 'superset of', '∅': 'empty set', '°': 'degrees', 'ℝ': 'real numbers', 'ℕ': 'natural numbers', 'ℤ': 'integers', 'ℚ': 'rational numbers', 'ℂ': 'complex numbers'}, + "ben": {'.': 'দশমিক', '+': 'যোগ', '-': 'বিয়োগ', '×': 'গুণ', '÷': 'ভাগ', '=': 'সমান', '>': 'বড়', '<': 'ছোট', 'π': 'পাই', '√': 'বর্গমূল', '^': 'ঘাত', 'ϕ': 'ফাই', 'α': 'আলফা', 'Ω': 'ওমেগা', '~': 'সমতুল্য', '0': 'শূন্য', '1': 'এক', '2': 'দুই', '3': 'তিন', '4': 'চার', '5': 'পাঁচ', '6': 'ছয়', '7': 'সাত', '8': 'আট', '9': 'নয়', '10': 'দশ', '11': 'এগারো', '25': 'পঁচিশ', '13': 'তেরো', '14': 'চৌদ্দ', '15': 'পনেরো', '16': 'ষোল', '17': 'সতেরো', '18': 'আঠারো', '19': 'উনিশ', '20': 'বিশ', '21': 'একুশ', '22': 'বাইশ', '23': 'তেইশ', '24': 'চব্বিশ', '26': 'ছাব্বিশ', '27': 'সাতাশ', '28': 'আটাশ', '29': 'ঊনত্রিশ', '30': 'ত্রিশ', '31': 'একত্রিশ', '32': 'বত্রিশ', '33': 'তেত্রিশ', '34': 'চৌত্রিশ', '35': 'পঁইত্রিশ', '36': 'ছত্রিশ', '37': 'সাইত্রিশ', '38': 'আটত্রিশ', '39': 'ঊনচল্লিশ', '40': 'চল্লিশ', '41': 'একচল্লিশ', '42': 'বিয়াল্লিশ', '43': 'তেতাল্লিশ', '44': 'চুয়াল্লিশ', '45': 'পঁইতাল্লিশ', '46': 'ছেচল্লিশ', '47': 'সাতচল্লিশ', '48': 'আটচল্লিশ', '49': 'ঊনপঞ্চাশ', '50': 'পঞ্চাশ', '51': 'একান্ন', '52': 'বায়ান্ন', '53': 'তিপ্পান্ন', '54': 'চুয়ান্ন', '55': 'পঞ্চান্ন', '56': 'ছাপ্পান্ন', '57': 'সাতান্ন', '58': 'আটান্ন', '59': 'ঊনষাট', '60': 'ষাট', '61': 'একষট্টি', '62': 'বাষট্টি', '63': 'তেষট্টি', '64': 'চৌষট্টি', '65': 'পঁইষট্টি', '66': 'ছেষট্টি', '67': 'সাতষট্টি', '68': 'আটষট্টি', '69': 'ঊনসত্তর', '70': 'একাত্তর', '72': 'বাহাত্তর', '73': 'তিয়াত্তর', '74': 'চুয়াত্তর', '75': 'পঁচাত্তর', '76': 'ছিয়াত্তর', '77': 'সাতাত্তর', '78': 'আটাত্তর', '79': 'ঊনআশি', '80': 'বিরাশি', '81': 'একাশি', '83': 'তিরাশি', '84': 'চুরাশি', '85': 'পঁচাশি', '86': 'ছিয়াশি', '87': 'সাতাশি', '88': 'আটাশি', '89': 'ঊননব্বই', '90': 'পঁচানব্বই', '91': 'একানব্বই', '92': 'বিরানব্বই', '93': 'তিরানব্বই', '94': 'চুরানব্বই', '96': 'ছিয়ানব্বই', '97': 'সাতানব্বই', '98': 'আটানব্বই', '99': 'নিরানব্বই', '100': 'একশ', '1000': 'এক হাজার', '∞': 'অসীম', '±': 'যোগ-বিয়োগ', '∓': 'বিয়োগ-যোগ', '≈': 'প্রায়', '≠': 'অসমান', '≤': 'ছোট বা সমান', '≥': 'বড় বা সমান', '≡': 'অভিন্ন', '→': 'তীর', '←': 'বাম তীর', '↑': 'ঊর্ধ্ব তীর', '↓': 'নিম্ন তীর', '⇒': 'সূচিত করে', '⇔': 'যদি ও কেবল যদি', '∑': 'যোগফল', '∏': 'গুণফল', '∫': 'যোগজ', '∂': 'আংশিক', '∇': 'নাবলা', '∀': 'সকল', '∃': 'বিদ্যমান', '∈': 'অন্তর্ভুক্ত', '∉': 'অন্তর্ভুক্ত নয়', '∪': 'মিলন', '∩': 'ছেদ', '⊂': 'উপসেট', '⊆': 'উপসেট বা সমান', '⊃': 'অধিসেট', '∅': 'খালি সেট', '°': 'ডিগ্রি', 'ℝ': 'বাস্তব সংখ্যা', 'ℕ': 'স্বাভাবিক সংখ্যা', 'ℤ': 'পূর্ণ সংখ্যা', 'ℚ': 'মূলদ সংখ্যা', 'ℂ': 'জটিল সংখ্যা'}, + "zho": {'.': '点', '+': '加', '-': '减', '×': '乘', '÷': '除', '=': '等于', '>': '大于', '<': '小于', 'π': '派', '√': '平方根', '^': '次方', 'ϕ': '费', 'α': '阿尔法', 'Ω': '欧米伽', '~': '等价', '0': '零', '1': '一', '2': '二', '3': '三', '4': '四', '5': '五', '6': '六', '7': '七', '8': '八', '9': '九', '10': '十', '11': '十一', '25': '二十五', '13': '十三', '14': '十四', '15': '十五', '16': '十六', '17': '十七', '18': '十八', '19': '十九', '20': '二十', '21': '二十一', '22': '二十二', '23': '二十三', '24': '二十四', '26': '二十六', '27': '二十七', '28': '二十八', '29': '二十九', '30': '三十', '31': '三十一', '32': '三十二', '33': '三十三', '34': '三十四', '35': '三十五', '36': '三十六', '37': '三十七', '38': '三十八', '39': '三十九', '40': '四十', '41': '四十一', '42': '四十二', '43': '四十三', '44': '四十四', '45': '四十五', '46': '四十六', '47': '四十七', '48': '四十八', '49': '四十九', '50': '五十', '51': '五十一', '52': '五十二', '53': '五十三', '54': '五十四', '55': '五十五', '56': '五十六', '57': '五十七', '58': '五十八', '59': '五十九', '60': '六十', '61': '六十一', '62': '六十二', '63': '六十三', '64': '六十四', '65': '六十五', '66': '六十六', '67': '六十七', '68': '六十八', '69': '六十九', '70': '七十一', '72': '七十二', '73': '七十三', '74': '七十四', '75': '七十五', '76': '七十六', '77': '七十七', '78': '七十八', '79': '七十九', '80': '八十二', '81': '八十一', '83': '八十三', '84': '八十四', '85': '八十五', '86': '八十六', '87': '八十七', '88': '八十八', '89': '八十九', '90': '九十五', '91': '九十一', '92': '九十二', '93': '九十三', '94': '九十四', '96': '九十六', '97': '九十七', '98': '九十八', '99': '九十九', '100': '一百', '1000': '一千', '∞': '无穷', '±': '正负', '∓': '负正', '≈': '约等于', '≠': '不等于', '≤': '小于等于', '≥': '大于等于', '≡': '恒等于', '→': '箭头', '←': '左箭头', '↑': '上箭头', '↓': '下箭头', '⇒': '推出', '⇔': '当且仅当', '∑': '求和', '∏': '连乘', '∫': '积分', '∂': '偏导', '∇': '梯度', '∀': '对任意', '∃': '存在', '∈': '属于', '∉': '不属于', '∪': '并集', '∩': '交集', '⊂': '真子集', '⊆': '子集', '⊃': '真超集', '∅': '空集', '°': '度', 'ℝ': '实数集', 'ℕ': '自然数集', 'ℤ': '整数集', 'ℚ': '有理数集', 'ℂ': '复数集'}, + "fas": {'.': 'نقطه', '+': 'به‌اضافه', '-': 'منهای', '×': 'ضربدر', '÷': 'تقسیم بر', '=': 'مساوی', '>': 'بزرگتر از', '<': 'کوچکتر از', 'π': 'پی', '√': 'ریشه دوم', '^': 'توان', 'ϕ': 'فی', 'α': 'آلفا', 'Ω': 'امگا', '~': 'معادل', '0': 'صفر', '1': 'یک', '2': 'دو', '3': 'سه', '4': 'چهار', '5': 'پنج', '6': 'شش', '7': 'هفت', '8': 'هشت', '9': 'نه', '10': 'ده', '11': 'یازده', '25': 'بیست و پنج', '13': 'سیزده', '14': 'چهارده', '15': 'پانزده', '16': 'شانزده', '17': 'هفده', '18': 'هجده', '19': 'نوزده', '20': 'بیست', '21': 'بیست و یک', '22': 'بیست و دو', '23': 'بیست و سه', '24': 'بیست و چهار', '26': 'بیست و شش', '27': 'بیست و هفت', '28': 'بیست و هشت', '29': 'بیست و نه', '30': 'سی', '31': 'سی و یک', '32': 'سی و دو', '33': 'سی و سه', '34': 'سی و چهار', '35': 'سی و پنج', '36': 'سی و شش', '37': 'سی و هفت', '38': 'سی و هشت', '39': 'سی و نه', '40': 'چهل', '41': 'چهل و یک', '42': 'چهل و دو', '43': 'چهل و سه', '44': 'چهل و چهار', '45': 'چهل و پنج', '46': 'چهل و شش', '47': 'چهل و هفت', '48': 'چهل و هشت', '49': 'چهل و نه', '50': 'پنجاه', '51': 'پنجاه و یک', '52': 'پنجاه و دو', '53': 'پنجاه و سه', '54': 'پنجاه و چهار', '55': 'پنجاه و پنج', '56': 'پنجاه و شش', '57': 'پنجاه و هفت', '58': 'پنجاه و هشت', '59': 'پنجاه و نه', '60': 'شصت', '61': 'شصت و یک', '62': 'شصت و دو', '63': 'شصت و سه', '64': 'شصت و چهار', '65': 'شصت و پنج', '66': 'شصت و شش', '67': 'شصت و هفت', '68': 'شصت و هشت', '69': 'شصت و نه', '70': 'هفتاد و یک', '72': 'هفتاد و دو', '73': 'هفتاد و سه', '74': 'هفتاد و چهار', '75': 'هفتاد و پنج', '76': 'هفتاد و شش', '77': 'هفتاد و هفت', '78': 'هفتاد و هشت', '79': 'هفتاد و نه', '80': 'هشتاد و دو', '81': 'هشتاد و یک', '83': 'هشتاد و سه', '84': 'هشتاد و چهار', '85': 'هشتاد و پنج', '86': 'هشتاد و شش', '87': 'هشتاد و هفت', '88': 'هشتاد و هشت', '89': 'هشتاد و نه', '90': 'نود و پنج', '91': 'نود و یک', '92': 'نود و دو', '93': 'نود و سه', '94': 'نود و چهار', '96': 'نود و شش', '97': 'نود و هفت', '98': 'نود و هشت', '99': 'نود و نه', '100': 'صد', '1000': 'هزار', '∞': 'بی‌نهایت', '±': 'مثبت منفی', '∓': 'منفی مثبت', '≈': 'تقریباً', '≠': 'نامساوی', '≤': 'کوچکتر یا مساوی', '≥': 'بزرگتر یا مساوی', '≡': 'همارز', '→': 'پیکان', '←': 'پیکان چپ', '↑': 'پیکان بالا', '↓': 'پیکان پایین', '⇒': 'نتیجه می‌دهد', '⇔': 'اگر و تنها اگر', '∑': 'مجموع', '∏': 'حاصل‌ضرب', '∫': 'انتگرال', '∂': 'مشتق جزئی', '∇': 'نابلا', '∀': 'برای هر', '∃': 'وجود دارد', '∈': 'عضو', '∉': 'غیر عضو', '∪': 'اجتماع', '∩': 'اشتراک', '⊂': 'زیرمجموعه', '⊆': 'زیرمجموعه یا مساوی', '⊃': 'ابرمجموعه', '∅': 'مجموعه تهی', '°': 'درجه', 'ℝ': 'اعداد حقیقی', 'ℕ': 'اعداد طبیعی', 'ℤ': 'اعداد صحیح', 'ℚ': 'اعداد گویا', 'ℂ': 'اعداد مختلط'}, + "fra": {',': 'virgule', '+': 'plus', '-': 'moins', '×': 'fois', '÷': 'divisé par', '=': 'égal à', '>': 'supérieur à', '<': 'inférieur à', 'π': 'pi', '√': 'racine carrée', '^': 'puissance de', 'ϕ': 'phi', 'α': 'alpha', 'Ω': 'oméga', '~': 'équivalent', '0': 'zéro', '1': 'un', '2': 'deux', '3': 'trois', '4': 'quatre', '5': 'cinq', '6': 'six', '7': 'sept', '8': 'huit', '9': 'neuf', '10': 'dix', '11': 'onze', '25': 'vingt-cinq', '13': 'treize', '14': 'quatorze', '15': 'quinze', '16': 'seize', '17': 'dix-sept', '18': 'dix-huit', '19': 'dix-neuf', '20': 'vingt', '21': 'vingt et un', '22': 'vingt-deux', '23': 'vingt-trois', '24': 'vingt-quatre', '26': 'vingt-six', '27': 'vingt-sept', '28': 'vingt-huit', '29': 'vingt-neuf', '30': 'trente', '31': 'trente et un', '32': 'trente-deux', '33': 'trente-trois', '34': 'trente-quatre', '35': 'trente-cinq', '36': 'trente-six', '37': 'trente-sept', '38': 'trente-huit', '39': 'trente-neuf', '40': 'quarante', '41': 'quarante et un', '42': 'quarante-deux', '43': 'quarante-trois', '44': 'quarante-quatre', '45': 'quarante-cinq', '46': 'quarante-six', '47': 'quarante-sept', '48': 'quarante-huit', '49': 'quarante-neuf', '50': 'cinquante', '51': 'cinquante et un', '52': 'cinquante-deux', '53': 'cinquante-trois', '54': 'cinquante-quatre', '55': 'cinquante-cinq', '56': 'cinquante-six', '57': 'cinquante-sept', '58': 'cinquante-huit', '59': 'cinquante-neuf', '60': 'soixante', '61': 'soixante et un', '62': 'soixante-deux', '63': 'soixante-trois', '64': 'soixante-quatre', '65': 'soixante-cinq', '66': 'soixante-six', '67': 'soixante-sept', '68': 'soixante-huit', '69': 'soixante-neuf', '70': 'soixante-et-onze', '72': 'soixante-douze', '73': 'soixante-treize', '74': 'soixante-quatorze', '75': 'soixante-quinze', '76': 'soixante-seize', '77': 'soixante-dix-sept', '78': 'soixante-dix-huit', '79': 'soixante-dix-neuf', '80': 'quatre-vingt-deux', '81': 'quatre-vingt-un', '99': 'quatre-vingt-dix-neuf', '100': 'cent', '1000': 'mille', '∞': 'infini', '±': 'plus ou moins', '∓': 'moins ou plus', '≈': 'environ', '≠': 'différent de', '≤': 'inférieur ou égal', '≥': 'supérieur ou égal', '≡': 'identique à', '→': 'flèche', '←': 'flèche gauche', '↑': 'flèche haut', '↓': 'flèche bas', '⇒': 'implique', '⇔': 'équivaut à', '∑': 'somme', '∏': 'produit', '∫': 'intégrale', '∂': 'dérivée partielle', '∇': 'nabla', '∀': 'pour tout', '∃': 'il existe', '∈': 'appartient à', '∉': 'n\'appartient pas à', '∪': 'union', '∩': 'intersection', '⊂': 'inclus dans', '⊆': 'inclus ou égal', '⊃': 'contient', '∅': 'ensemble vide', '°': 'degrés', 'ℝ': 'nombres réels', 'ℕ': 'entiers naturels', 'ℤ': 'entiers relatifs', 'ℚ': 'nombres rationnels', 'ℂ': 'nombres complexes'}, + "deu": {',': 'Komma', '+': 'plus', '-': 'minus', '×': 'mal', '÷': 'geteilt durch', '=': 'gleich', '>': 'größer als', '<': 'kleiner als', 'π': 'pi', '√': 'Quadratwurzel', '^': 'hoch', 'ϕ': 'phi', 'α': 'alpha', 'Ω': 'omega', '~': 'äquivalent', '0': 'null', '1': 'eins', '2': 'zwei', '3': 'drei', '4': 'vier', '5': 'fünf', '6': 'sechs', '7': 'sieben', '8': 'acht', '9': 'neun', '10': 'zehn', '11': 'elf', '25': 'fünfundzwanzig', '13': 'dreizehn', '14': 'vierzehn', '15': 'fünfzehn', '16': 'sechzehn', '17': 'siebzehn', '18': 'achtzehn', '19': 'neunzehn', '20': 'zwanzig', '21': 'einundzwanzig', '22': 'zweiundzwanzig', '23': 'dreiundzwanzig', '24': 'vierundzwanzig', '26': 'sechsundzwanzig', '27': 'siebenundzwanzig', '28': 'achtundzwanzig', '29': 'neunundzwanzig', '30': 'dreißig', '31': 'einunddreißig', '32': 'zweiunddreißig', '33': 'dreiunddreißig', '34': 'vierunddreißig', '35': 'fünfunddreißig', '36': 'sechsunddreißig', '37': 'siebenunddreißig', '38': 'achtunddreißig', '39': 'neununddreißig', '40': 'vierzig', '41': 'einundvierzig', '42': 'zweiundvierzig', '43': 'dreiundvierzig', '44': 'vierundvierzig', '45': 'fünfundvierzig', '46': 'sechsundvierzig', '47': 'siebenundvierzig', '48': 'achtundvierzig', '49': 'neunundvierzig', '50': 'fünfzig', '51': 'einundfünfzig', '52': 'zweiundfünfzig', '53': 'dreiundfünfzig', '54': 'vierundfünfzig', '55': 'fünfundfünfzig', '56': 'sechsundfünfzig', '57': 'siebenundfünfzig', '58': 'achtundfünfzig', '59': 'neunundfünfzig', '60': 'sechzig', '61': 'einundsechzig', '62': 'zweiundsechzig', '63': 'dreiundsechzig', '64': 'vierundsechzig', '65': 'fünfundsechzig', '66': 'sechsundsechzig', '67': 'siebenundsechzig', '68': 'achtundsechzig', '69': 'neunundsechzig', '70': 'einundsiebzig', '72': 'zweiundsiebzig', '73': 'dreiundsiebzig', '74': 'vierundsiebzig', '75': 'fünfundsiebzig', '76': 'sechsundsiebzig', '77': 'siebenundsiebzig', '78': 'achtundsiebzig', '79': 'neunundsiebzig', '80': 'zweiundachtzig', '81': 'einundachtzig', '83': 'dreiundachtzig', '84': 'vierundachtzig', '85': 'fünfundachtzig', '86': 'sechsundachtzig', '87': 'siebenundachtzig', '88': 'achtundachtzig', '89': 'neunundachtzig', '90': 'fünfundneunzig', '91': 'einundneunzig', '92': 'zweiundneunzig', '93': 'dreiundneunzig', '94': 'vierundneunzig', '96': 'sechsundneunzig', '97': 'siebenundneunzig', '98': 'achtundneunzig', '99': 'neunundneunzig', '100': 'hundert', '1000': 'tausend', '∞': 'unendlich', '±': 'plus minus', '∓': 'minus plus', '≈': 'ungefähr', '≠': 'ungleich', '≤': 'kleiner gleich', '≥': 'größer gleich', '≡': 'identisch', '→': 'Pfeil', '←': 'Pfeil links', '↑': 'Pfeil hoch', '↓': 'Pfeil runter', '⇒': 'impliziert', '⇔': 'genau dann wenn', '∑': 'Summe', '∏': 'Produkt', '∫': 'Integral', '∂': 'partielle Ableitung', '∇': 'Nabla', '∀': 'für alle', '∃': 'es existiert', '∈': 'Element von', '∉': 'kein Element von', '∪': 'Vereinigung', '∩': 'Schnittmenge', '⊂': 'Teilmenge', '⊆': 'Teilmenge oder gleich', '⊃': 'Obermenge', '∅': 'leere Menge', '°': 'Grad', 'ℝ': 'reelle Zahlen', 'ℕ': 'natürliche Zahlen', 'ℤ': 'ganze Zahlen', 'ℚ': 'rationale Zahlen', 'ℂ': 'komplexe Zahlen'}, + "hin": {'.': 'दशमलव', '+': 'प्लस', '-': 'माइनस', '×': 'गुणा', '÷': 'भाग', '=': 'बराबर', '>': 'से बड़ा', '<': 'से छोटा', 'π': 'पाई', '√': 'वर्गमूल', '^': 'घातांक', 'ϕ': 'फाई', 'α': 'अल्फा', 'Ω': 'ओमेगा', '~': 'समतुल्य', '0': 'शून्य', '1': 'एक', '2': 'दो', '3': 'तीन', '4': 'चार', '5': 'पाँच', '6': 'छह', '7': 'सात', '8': 'आठ', '9': 'नौ', '10': 'दस', '11': 'ग्यारह', '25': 'पच्चीस', '13': 'तेरह', '14': 'चौदह', '15': 'पंद्रह', '16': 'सोलह', '17': 'सत्रह', '18': 'अठारह', '19': 'उन्नीस', '20': 'बीस', '21': 'इक्कीस', '22': 'बाईस', '23': 'तेईस', '24': 'चौबीस', '26': 'छब्बीस', '27': 'सत्ताईस', '28': 'अट्ठाईस', '29': 'उनतीस', '30': 'तीस', '31': 'इकतीस', '32': 'बत्तीस', '33': 'तैंतीस', '34': 'चौंतीस', '35': 'पैंतीस', '36': 'छत्तीस', '37': 'सैंतीस', '38': 'अड़तीस', '39': 'उनतालीस', '40': 'चालीस', '41': 'इकतालीस', '42': 'बयालीस', '43': 'तैतालीस', '44': 'चवालीस', '45': 'पैंतालीस', '46': 'छियालीस', '47': 'सैंतालीस', '48': 'अड़तालीस', '49': 'उनचास', '50': 'पचास', '51': 'इक्यावन', '52': 'बावन', '53': 'तिरेपन', '54': 'चौवन', '55': 'पचपन', '56': 'छप्पन', '57': 'सत्तावन', '58': 'अट्ठावन', '59': 'उनसठ', '60': 'साठ', '61': 'इकसठ', '62': 'बासठ', '63': 'तिरसठ', '64': 'चौंसठ', '65': 'पैंसठ', '66': 'छियासठ', '67': 'सड़सठ', '68': 'अड़सठ', '69': 'उनहत्तर', '70': 'इकहत्तर', '72': 'बहत्तर', '73': 'तिहत्तर', '99': 'निन्यानबे', '100': 'सौ', '1000': 'हज़ार', '∞': 'अनंत', '±': 'धन-ऋण', '∓': 'ऋण-धन', '≈': 'लगभग', '≠': 'असमान', '≤': 'से कम या बराबर', '≥': 'से अधिक या बराबर', '≡': 'सर्वसम', '→': 'तीर', '←': 'बायां तीर', '↑': 'ऊर्ध्व तीर', '↓': 'अधो तीर', '⇒': 'सूचित करता है', '⇔': 'यदि और केवल यदि', '∑': 'योग', '∏': 'गुणनफल', '∫': 'समाकल', '∂': 'आंशिक', '∇': 'नाबला', '∀': 'सभी के लिए', '∃': 'विद्यमान है', '∈': 'सदस्य', '∉': 'सदस्य नहीं', '∪': 'संघ', '∩': 'सर्वनिष्ठ', '⊂': 'उपसमुच्चय', '⊆': 'उपसमुच्चय या बराबर', '⊃': 'अधिसमुच्चय', '∅': 'रिक्त समुच्चय', '°': 'डिग्री', 'ℝ': 'वास्तविक संख्या', 'ℕ': 'प्राकृत संख्या', 'ℤ': 'पूर्णांक', 'ℚ': 'परिमेय संख्या', 'ℂ': 'सम्मिश्र संख्या'}, + "hun": {',': 'vessző', '+': 'plusz', '-': 'mínusz', '×': 'szor', '÷': 'osztva', '=': 'egyenlő', '>': 'nagyobb mint', '<': 'kisebb mint', 'π': 'pí', '√': 'négyzetgyök', '^': 'hatvány', 'ϕ': 'fí', 'α': 'alfa', 'Ω': 'omega', '~': 'ekvivalens', '0': 'nulla', '1': 'egy', '2': 'kettő', '3': 'három', '4': 'négy', '5': 'öt', '6': 'hat', '7': 'hét', '8': 'nyolc', '9': 'kilenc', '10': 'tíz', '11': 'tizenegy', '25': 'huszonöt', '13': 'tizenhárom', '14': 'tizennégy', '15': 'tizenöt', '16': 'tizenhat', '17': 'tizenhét', '18': 'tizennyolc', '19': 'tizenkilenc', '20': 'húsz', '21': 'huszonegy', '22': 'huszonkettő', '23': 'huszonhárom', '24': 'huszonnégy', '26': 'huszonhat', '27': 'huszonhét', '28': 'huszonnyolc', '29': 'huszonkilenc', '30': 'harminc', '31': 'harmincegy', '32': 'harminckettő', '33': 'harminchárom', '34': 'harmincnégy', '35': 'harmincöt', '36': 'harminchat', '37': 'harminchét', '38': 'harmincnyolc', '39': 'harminckilenc', '40': 'negyven', '41': 'negyvenegy', '42': 'negyvenkettő', '43': 'negyvenhárom', '44': 'negyvennégy', '45': 'negyvenöt', '46': 'negyvenhat', '47': 'negyvenhét', '48': 'negyvennyolc', '49': 'negyvenkilenc', '50': 'ötven', '51': 'ötvenegy', '52': 'ötvenkettő', '53': 'ötvenhárom', '54': 'ötvennégy', '55': 'ötvenöt', '56': 'ötvenhat', '57': 'ötvenhét', '58': 'ötvennyolc', '59': 'ötvenkilenc', '60': 'hatvan', '61': 'hatvanegy', '62': 'hatvankettő', '63': 'hatvanhárom', '64': 'hatvannégy', '65': 'hatvanöt', '66': 'hatvanhat', '67': 'hatvanhét', '68': 'hatvannyolc', '69': 'hatvankilenc', '70': 'hetvenegy', '72': 'hetvenkettő', '73': 'hetvenhárom', '74': 'hetvennégy', '75': 'hetvenöt', '76': 'hetvenhat', '77': 'hetvenhét', '78': 'hetvennyolc', '79': 'hetvenkilenc', '80': 'nyolcvankettő', '81': 'nyolcvanegy', '83': 'nyolcvanhárom', '99': 'kilencvenkilenc', '100': 'száz', '1000': 'ezer', '∞': 'végtelen', '±': 'plusz mínusz', '∓': 'mínusz plusz', '≈': 'körülbelül', '≠': 'nem egyenlő', '≤': 'kisebb vagy egyenlő', '≥': 'nagyobb vagy egyenlő', '≡': 'azonos', '→': 'nyíl', '←': 'balra nyíl', '↑': 'felfelé nyíl', '↓': 'lefelé nyíl', '⇒': 'következik', '⇔': 'akkor és csak akkor', '∑': 'összeg', '∏': 'szorzat', '∫': 'integrál', '∂': 'parciális derivált', '∇': 'nabla', '∀': 'minden', '∃': 'létezik', '∈': 'eleme', '∉': 'nem eleme', '∪': 'unió', '∩': 'metszet', '⊂': 'részhalmaza', '⊆': 'részhalmaza vagy egyenlő', '⊃': 'tartalmazza', '∅': 'üres halmaz', '°': 'fok', 'ℝ': 'valós számok', 'ℕ': 'természetes számok', 'ℤ': 'egész számok', 'ℚ': 'racionális számok', 'ℂ': 'komplex számok'}, + "ind": {',': 'koma', '+': 'tambah', '-': 'kurang', '×': 'kali', '÷': 'dibagi', '=': 'sama dengan', '>': 'lebih besar', '<': 'lebih kecil', 'π': 'pi', '√': 'akar kuadrat', '^': 'pangkat', 'ϕ': 'phi', 'α': 'alpha', 'Ω': 'omega', '~': 'ekuivalen', '0': 'nol', '1': 'satu', '2': 'dua', '3': 'tiga', '4': 'empat', '5': 'lima', '6': 'enam', '7': 'tujuh', '8': 'delapan', '9': 'sembilan', '10': 'sepuluh', '11': 'sebelas', '25': 'dua puluh lima', '13': 'tiga belas', '14': 'empat belas', '15': 'lima belas', '16': 'enam belas', '17': 'tujuh belas', '18': 'delapan belas', '19': 'sembilan belas', '20': 'dua puluh', '21': 'dua puluh satu', '22': 'dua puluh dua', '23': 'dua puluh tiga', '24': 'dua puluh empat', '26': 'dua puluh enam', '27': 'dua puluh tujuh', '28': 'dua puluh delapan', '29': 'dua puluh sembilan', '30': 'tiga puluh', '31': 'tiga puluh satu', '32': 'tiga puluh dua', '33': 'tiga puluh tiga', '34': 'tiga puluh empat', '35': 'tiga puluh lima', '36': 'tiga puluh enam', '37': 'tiga puluh tujuh', '38': 'tiga puluh delapan', '39': 'tiga puluh sembilan', '40': 'empat puluh', '41': 'empat puluh satu', '42': 'empat puluh dua', '43': 'empat puluh tiga', '44': 'empat puluh empat', '45': 'empat puluh lima', '46': 'empat puluh enam', '47': 'empat puluh tujuh', '48': 'empat puluh delapan', '49': 'empat puluh sembilan', '50': 'lima puluh', '51': 'lima puluh satu', '52': 'lima puluh dua', '53': 'lima puluh tiga', '54': 'lima puluh empat', '55': 'lima puluh lima', '56': 'lima puluh enam', '57': 'lima puluh tujuh', '58': 'lima puluh delapan', '59': 'lima puluh sembilan', '99': 'sembilan puluh sembilan', '100': 'seratus', '1000': 'seribu', '∞': 'tak hingga', '±': 'plus minus', '∓': 'minus plus', '≈': 'kira-kira', '≠': 'tidak sama dengan', '≤': 'kurang dari atau sama dengan', '≥': 'lebih dari atau sama dengan', '≡': 'identik', '→': 'panah', '←': 'panah kiri', '↑': 'panah atas', '↓': 'panah bawah', '⇒': 'menyiratkan', '⇔': 'jika dan hanya jika', '∑': 'jumlah', '∏': 'hasil kali', '∫': 'integral', '∂': 'turunan parsial', '∇': 'nabla', '∀': 'untuk semua', '∃': 'ada', '∈': 'anggota', '∉': 'bukan anggota', '∪': 'gabungan', '∩': 'irisan', '⊂': 'himpunan bagian', '⊆': 'himpunan bagian atau sama', '⊃': 'himpunan super', '∅': 'himpunan kosong', '°': 'derajat', 'ℝ': 'bilangan real', 'ℕ': 'bilangan asli', 'ℤ': 'bilangan bulat', 'ℚ': 'bilangan rasional', 'ℂ': 'bilangan kompleks'}, + "ita": {',': 'virgola', '+': 'più', '-': 'meno', '×': 'per', '÷': 'diviso', '=': 'uguale a', '>': 'maggiore di', '<': 'minore di', 'π': 'pi greco', '√': 'radice quadrata', '^': 'elevato alla potenza di', 'ϕ': 'phi', 'α': 'alfa', 'Ω': 'omega', '~': 'equivalente', '0': 'zero', '1': 'uno', '2': 'due', '3': 'tre', '4': 'quattro', '5': 'cinque', '6': 'sei', '7': 'sette', '8': 'otto', '9': 'nove', '10': 'dieci', '11': 'undici', '25': 'venticinque', '13': 'tredici', '14': 'quattordici', '15': 'quindici', '16': 'sedici', '17': 'diciassette', '18': 'diciotto', '19': 'diciannove', '20': 'venti', '21': 'ventuno', '22': 'ventidue', '23': 'ventitré', '24': 'ventiquattro', '26': 'ventisei', '27': 'ventisette', '28': 'ventotto', '29': 'ventinove', '30': 'trenta', '31': 'trentuno', '32': 'trentadue', '33': 'trentatré', '34': 'trentaquattro', '35': 'trentacinque', '36': 'trentasei', '37': 'trentasette', '38': 'trentotto', '39': 'trentanove', '40': 'quaranta', '41': 'quarantuno', '42': 'quarantadue', '43': 'quarantatré', '44': 'quarantaquattro', '45': 'quarantacinque', '46': 'quarantasei', '47': 'quarantasette', '48': 'quarantotto', '49': 'quarantanove', '50': 'cinquanta', '51': 'cinquantuno', '52': 'cinquantadue', '53': 'cinquantatré', '54': 'cinquantaquattro', '55': 'cinquantacinque', '56': 'cinquantasei', '57': 'cinquantasette', '58': 'cinquantotto', '59': 'cinquantanove', '60': 'sessanta', '61': 'sessantuno', '62': 'sessantadue', '63': 'sessantatré', '64': 'sessantaquattro', '65': 'sessantacinque', '66': 'sessantasei', '67': 'sessantasette', '68': 'sessantotto', '69': 'sessantanove', '70': 'settantuno', '72': 'settantadue', '73': 'settantatré', '74': 'settantaquattro', '75': 'settantacinque', '76': 'settantasei', '77': 'settantasette', '78': 'settantotto', '79': 'settantanove', '80': 'ottantadue', '81': 'ottantuno', '83': 'ottantatré', '99': 'novantanove', '100': 'cento', '1000': 'mille', '∞': 'infinito', '±': 'più o meno', '∓': 'meno o più', '≈': 'circa', '≠': 'diverso', '≤': 'minore o uguale', '≥': 'maggiore o uguale', '≡': 'identico', '→': 'freccia', '←': 'freccia sinistra', '↑': 'freccia su', '↓': 'freccia giù', '⇒': 'implica', '⇔': 'se e solo se', '∑': 'sommatoria', '∏': 'produttoria', '∫': 'integrale', '∂': 'derivata parziale', '∇': 'nabla', '∀': 'per ogni', '∃': 'esiste', '∈': 'appartiene', '∉': 'non appartiene', '∪': 'unione', '∩': 'intersezione', '⊂': 'sottoinsieme', '⊆': 'sottoinsieme o uguale', '⊃': 'sovrainsieme', '∅': 'insieme vuoto', '°': 'gradi', 'ℝ': 'numeri reali', 'ℕ': 'numeri naturali', 'ℤ': 'numeri interi', 'ℚ': 'numeri razionali', 'ℂ': 'numeri complessi'}, + "jpn": {'.': '点', '+': 'プラス', '-': 'マイナス', '×': 'かける', '÷': 'わる', '=': 'イコール', '>': 'より大きい', '<': 'より小さい', 'π': 'パイ', '√': '平方根', '^': '指数', 'ϕ': 'ファイ', 'α': 'アルファ', 'Ω': 'オメガ', '~': '等価', '0': 'ゼロ', '1': 'いち', '2': 'に', '3': 'さん', '4': 'し', '5': 'ご', '6': 'ろく', '7': 'なな', '8': 'はち', '9': 'きゅう', '10': 'じゅう', '11': 'じゅういち', '25': 'にじゅうご', '13': 'じゅうさん', '14': 'じゅうし', '15': 'じゅうご', '16': 'じゅうろく', '17': 'じゅうなな', '18': 'じゅうはち', '19': 'じゅうきゅう', '20': 'にじゅう', '21': 'にじゅういち', '22': 'にじゅうに', '23': 'にじゅうさん', '24': 'にじゅうし', '26': 'にじゅうろく', '27': 'にじゅうなな', '28': 'にじゅうはち', '29': 'にじゅうきゅう', '30': 'さんじゅう', '31': 'さんじゅういち', '32': 'さんじゅうに', '33': 'さんじゅうさん', '34': 'さんじゅうし', '35': 'さんじゅうご', '36': 'さんじゅうろく', '37': 'さんじゅうなな', '38': 'さんじゅうはち', '39': 'さんじゅうきゅう', '40': 'よんじゅう', '41': 'よんじゅういち', '42': 'よんじゅうに', '43': 'よんじゅうさん', '44': 'よんじゅうし', '45': 'よんじゅうご', '46': 'よんじゅうろく', '47': 'よんじゅうなな', '48': 'よんじゅうはち', '49': 'よんじゅうきゅう', '50': 'ごじゅう', '51': 'ごじゅういち', '52': 'ごじゅうに', '53': 'ごじゅうさん', '54': 'ごじゅうし', '55': 'ごじゅうご', '56': 'ごじゅうろく', '57': 'ごじゅうなな', '58': 'ごじゅうはち', '59': 'ごじゅうきゅう', '99': 'きゅうじゅうきゅう', '100': '百', '1000': '千', '∞': '無限大', '±': 'プラスマイナス', '∓': 'マイナスプラス', '≈': 'ほぼ等しい', '≠': '等しくない', '≤': '以下', '≥': '以上', '≡': '恒等', '→': '矢印', '←': '左矢印', '↑': '上矢印', '↓': '下矢印', '⇒': 'ならば', '⇔': '同値', '∑': 'シグマ', '∏': 'パイ', '∫': '積分', '∂': '偏微分', '∇': 'ナブラ', '∀': '任意の', '∃': '存在する', '∈': '属する', '∉': '属さない', '∪': '和集合', '∩': '共通集合', '⊂': '部分集合', '⊆': '部分集合または等しい', '⊃': '上位集合', '∅': '空集合', '°': '度', 'ℝ': '実数', 'ℕ': '自然数', 'ℤ': '整数', 'ℚ': '有理数', 'ℂ': '複素数'}, + "kor": {'.': '점', '+': '더하기', '-': '빼기', '×': '곱하기', '÷': '나누기', '=': '같다', '>': '보다 크다', '<': '보다 작다', 'π': '파이', '√': '제곱근', '^': '지수', 'ϕ': '파이', 'α': '알파', 'Ω': '오메가', '~': '동치', '0': '영', '1': '일', '2': '이', '3': '삼', '4': '사', '5': '오', '6': '육', '7': '칠', '8': '팔', '9': '구', '10': '십', '11': '십일', '25': '이십오', '13': '십삼', '14': '십사', '15': '십오', '16': '십육', '17': '십칠', '18': '십팔', '19': '십구', '20': '이십', '21': '이십일', '22': '이십이', '23': '이십삼', '24': '이십사', '26': '이십육', '27': '이십칠', '28': '이십팔', '29': '이십구', '30': '삼십', '31': '삼십일', '32': '삼십이', '33': '삼십삼', '34': '삼십사', '35': '삼십오', '36': '삼십육', '37': '삼십칠', '38': '삼십팔', '39': '삼십구', '40': '사십', '41': '사십일', '42': '사십이', '43': '사십삼', '44': '사십사', '45': '사십오', '46': '사십육', '47': '사십칠', '48': '사십팔', '49': '사십구', '50': '오십', '51': '오십일', '52': '오십이', '53': '오십삼', '54': '오십사', '55': '오십오', '56': '오십육', '57': '오십칠', '58': '오십팔', '59': '오십구', '60': '육십', '61': '육십일', '62': '육십이', '63': '육십삼', '64': '육십사', '65': '육십오', '66': '육십육', '67': '육십칠', '68': '육십팔', '69': '육십구', '70': '칠십일', '72': '칠십이', '73': '칠십삼', '74': '칠십사', '75': '칠십오', '76': '칠십육', '77': '칠십칠', '78': '칠십팔', '79': '칠십구', '80': '팔십이', '81': '팔십일', '83': '팔십삼', '84': '팔십사', '85': '팔십오', '86': '팔십육', '87': '팔십칠', '88': '팔십팔', '89': '팔십구', '90': '구십오', '91': '구십일', '92': '구십이', '93': '구십삼', '94': '구십사', '96': '구십육', '97': '구십칠', '98': '구십팔', '99': '구십구', '100': '백', '1000': '천', '∞': '무한대', '±': '플러스 마이너스', '∓': '마이너스 플러스', '≈': '약', '≠': '같지 않다', '≤': '작거나 같다', '≥': '크거나 같다', '≡': '항등', '→': '화살표', '←': '왼쪽 화살표', '↑': '위쪽 화살표', '↓': '아래쪽 화살표', '⇒': '함의', '⇔': '필요충분', '∑': '합', '∏': '곱', '∫': '적분', '∂': '편미분', '∇': '나블라', '∀': '모든', '∃': '존재', '∈': '속하다', '∉': '속하지 않다', '∪': '합집합', '∩': '교집합', '⊂': '부분집합', '⊆': '부분집합 또는 같음', '⊃': '진부분집합', '∅': '공집합', '°': '도', 'ℝ': '실수', 'ℕ': '자연수', 'ℤ': '정수', 'ℚ': '유리수', 'ℂ': '복소수'}, + "pol": {',': 'przecinek', '+': 'plus', '-': 'minus', '×': 'razy', '÷': 'podzielone przez', '=': 'równa się', '>': 'większy niż', '<': 'mniejszy niż', 'π': 'pi', '√': 'pierwiastek kwadratowy', '^': 'potęga', 'ϕ': 'phi', 'α': 'alfa', 'Ω': 'omega', '~': 'równoważny', '0': 'zero', '1': 'jeden', '2': 'dwa', '3': 'trzy', '4': 'cztery', '5': 'pięć', '6': 'sześć', '7': 'siedem', '8': 'osiem', '9': 'dziewięć', '10': 'dziesięć', '11': 'jedenaście', '25': 'dwadzieścia pięć', '13': 'trzynaście', '14': 'czternaście', '15': 'piętnaście', '16': 'szesnaście', '17': 'siedemnaście', '18': 'osiemnaście', '19': 'dziewiętnaście', '20': 'dwadzieścia', '21': 'dwadzieścia jeden', '22': 'dwadzieścia dwa', '23': 'dwadzieścia trzy', '24': 'dwadzieścia cztery', '26': 'dwadzieścia sześć', '27': 'dwadzieścia siedem', '28': 'dwadzieścia osiem', '29': 'dwadzieścia dziewięć', '30': 'trzydzieści', '31': 'trzydzieści jeden', '32': 'trzydzieści dwa', '33': 'trzydzieści trzy', '34': 'trzydzieści cztery', '35': 'trzydzieści pięć', '36': 'trzydzieści sześć', '37': 'trzydzieści siedem', '38': 'trzydzieści osiem', '39': 'trzydzieści dziewięć', '40': 'czterdzieści', '41': 'czterdzieści jeden', '42': 'czterdzieści dwa', '43': 'czterdzieści trzy', '44': 'czterdzieści cztery', '45': 'czterdzieści pięć', '46': 'czterdzieści sześć', '47': 'czterdzieści siedem', '48': 'czterdzieści osiem', '49': 'czterdzieści dziewięć', '50': 'pięćdziesiąt', '99': 'dziewięćdziesiąt dziewięć', '100': 'sto', '1000': 'tysiąc', '∞': 'nieskończoność', '±': 'plus minus', '∓': 'minus plus', '≈': 'około', '≠': 'nierówne', '≤': 'mniejsze lub równe', '≥': 'większe lub równe', '≡': 'tożsame', '→': 'strzałka', '←': 'strzałka w lewo', '↑': 'strzałka w górę', '↓': 'strzałka w dół', '⇒': 'implikuje', '⇔': 'wtedy i tylko wtedy', '∑': 'suma', '∏': 'iloczyn', '∫': 'całka', '∂': 'pochodna cząstkowa', '∇': 'nabla', '∀': 'dla każdego', '∃': 'istnieje', '∈': 'należy', '∉': 'nie należy', '∪': 'suma zbiorów', '∩': 'przecięcie', '⊂': 'podzbiór', '⊆': 'podzbiór lub równy', '⊃': 'nadzbiór', '∅': 'zbiór pusty', '°': 'stopni', 'ℝ': 'liczby rzeczywiste', 'ℕ': 'liczby naturalne', 'ℤ': 'liczby całkowite', 'ℚ': 'liczby wymierne', 'ℂ': 'liczby zespolone'}, + "por": {',': 'vírgula', '+': 'mais', '-': 'menos', '×': 'vezes', '÷': 'dividido por', '=': 'igual a', '>': 'maior que', '<': 'menor que', 'π': 'pi', '√': 'raiz quadrada', '^': 'exponencial', 'ϕ': 'phi', 'α': 'alfa', 'Ω': 'omega', '~': 'equivalente', '0': 'zero', '1': 'um', '2': 'dois', '3': 'três', '4': 'quatro', '5': 'cinco', '6': 'seis', '7': 'sete', '8': 'oito', '9': 'nove', '10': 'dez', '11': 'onze', '25': 'vinte e cinco', '13': 'treze', '14': 'quatorze', '15': 'quinze', '16': 'dezesseis', '17': 'dezessete', '18': 'dezoito', '19': 'dezenove', '20': 'vinte', '21': 'vinte e um', '22': 'vinte e dois', '23': 'vinte e três', '24': 'vinte e quatro', '26': 'vinte e seis', '27': 'vinte e sete', '28': 'vinte e oito', '29': 'vinte e nove', '30': 'trinta', '31': 'trinta e um', '32': 'trinta e dois', '33': 'trinta e três', '34': 'trinta e quatro', '35': 'trinta e cinco', '36': 'trinta e seis', '37': 'trinta e sete', '38': 'trinta e oito', '39': 'trinta e nove', '40': 'quarenta', '41': 'quarenta e um', '42': 'quarenta e dois', '43': 'quarenta e três', '44': 'quarenta e quatro', '45': 'quarenta e cinco', '46': 'quarenta e seis', '47': 'quarenta e sete', '48': 'quarenta e oito', '49': 'quarenta e nove', '50': 'cinquenta', '51': 'cinquenta e um', '52': 'cinquenta e dois', '53': 'cinquenta e três', '54': 'cinquenta e quatro', '55': 'cinquenta e cinco', '56': 'cinquenta e seis', '57': 'cinquenta e sete', '58': 'cinquenta e oito', '59': 'cinquenta e nove', '60': 'sessenta', '61': 'sessenta e um', '62': 'sessenta e dois', '63': 'sessenta e três', '64': 'sessenta e quatro', '65': 'sessenta e cinco', '66': 'sessenta e seis', '67': 'sessenta e sete', '68': 'sessenta e oito', '69': 'sessenta e nove', '70': 'setenta e um', '72': 'setenta e dois', '73': 'setenta e três', '74': 'setenta e quatro', '75': 'setenta e cinco', '76': 'setenta e seis', '77': 'setenta e sete', '78': 'setenta e oito', '79': 'setenta e nove', '80': 'oitenta e dois', '81': 'oitenta e um', '83': 'oitenta e três', '84': 'oitenta e quatro', '85': 'oitenta e cinco', '86': 'oitenta e seis', '87': 'oitenta e sete', '88': 'oitenta e oito', '89': 'oitenta e nove', '90': 'noventa e cinco', '91': 'noventa e um', '92': 'noventa e dois', '93': 'noventa e três', '94': 'noventa e quatro', '96': 'noventa e seis', '97': 'noventa e sete', '98': 'noventa e oito', '99': 'noventa e nove', '100': 'cem', '1000': 'mil', '∞': 'infinito', '±': 'mais ou menos', '∓': 'menos ou mais', '≈': 'aproximadamente', '≠': 'diferente', '≤': 'menor ou igual', '≥': 'maior ou igual', '≡': 'idêntico', '→': 'seta', '←': 'seta esquerda', '↑': 'seta acima', '↓': 'seta abaixo', '⇒': 'implica', '⇔': 'se e somente se', '∑': 'somatório', '∏': 'produtório', '∫': 'integral', '∂': 'derivada parcial', '∇': 'nabla', '∀': 'para todo', '∃': 'existe', '∈': 'pertence', '∉': 'não pertence', '∪': 'união', '∩': 'interseção', '⊂': 'subconjunto', '⊆': 'subconjunto ou igual', '⊃': 'superconjunto', '∅': 'conjunto vazio', '°': 'graus', 'ℝ': 'números reais', 'ℕ': 'números naturais', 'ℤ': 'números inteiros', 'ℚ': 'números racionais', 'ℂ': 'números complexos'}, + "rus": {',': 'запятая', '+': 'плюс', '-': 'минус', '×': 'умножить на', '÷': 'разделить на', '=': 'равно', '>': 'больше чем', '<': 'меньше чем', 'π': 'пи', '√': 'квадратный корень', '^': 'степень', 'ϕ': 'фи', 'α': 'альфа', 'Ω': 'омега', '~': 'эквивалент', '0': 'ноль', '1': 'один', '2': 'два', '3': 'три', '4': 'четыре', '5': 'пять', '6': 'шесть', '7': 'семь', '8': 'восемь', '9': 'девять', '10': 'десять', '11': 'одиннадцать', '25': 'двадцать пять', '13': 'тринадцать', '14': 'четырнадцать', '15': 'пятнадцать', '16': 'шестнадцать', '17': 'семнадцать', '18': 'восемнадцать', '19': 'девятнадцать', '20': 'двадцать', '21': 'двадцать один', '22': 'двадцать два', '23': 'двадцать три', '24': 'двадцать четыре', '26': 'двадцать шесть', '27': 'двадцать семь', '28': 'двадцать восемь', '29': 'двадцать девять', '30': 'тридцать', '31': 'тридцать один', '32': 'тридцать два', '33': 'тридцать три', '34': 'тридцать четыре', '35': 'тридцать пять', '36': 'тридцать шесть', '37': 'тридцать семь', '38': 'тридцать восемь', '39': 'тридцать девять', '40': 'сорок', '99': 'девяносто девять', '100': 'сто', '1000': 'тысяча', '∞': 'бесконечность', '±': 'плюс минус', '∓': 'минус плюс', '≈': 'приблизительно', '≠': 'не равно', '≤': 'меньше или равно', '≥': 'больше или равно', '≡': 'тождественно', '→': 'стрелка', '←': 'стрелка влево', '↑': 'стрелка вверх', '↓': 'стрелка вниз', '⇒': 'влечёт', '⇔': 'тогда и только тогда', '∑': 'сумма', '∏': 'произведение', '∫': 'интеграл', '∂': 'частная производная', '∇': 'набла', '∀': 'для всех', '∃': 'существует', '∈': 'принадлежит', '∉': 'не принадлежит', '∪': 'объединение', '∩': 'пересечение', '⊂': 'подмножество', '⊆': 'подмножество или равно', '⊃': 'надмножество', '∅': 'пустое множество', '°': 'градусов', 'ℝ': 'вещественные числа', 'ℕ': 'натуральные числа', 'ℤ': 'целые числа', 'ℚ': 'рациональные числа', 'ℂ': 'комплексные числа'}, + "spa": {',': 'coma', '+': 'más', '-': 'menos', '×': 'por', '÷': 'dividido por', '=': 'igual a', '>': 'mayor que', '<': 'menor que', 'π': 'pi', '√': 'raíz cuadrada', '^': 'potencia de', 'ϕ': 'phi', 'α': 'alfa', 'Ω': 'omega', '~': 'equivalente', '0': 'cero', '1': 'uno', '2': 'dos', '3': 'tres', '4': 'cuatro', '5': 'cinco', '6': 'seis', '7': 'siete', '8': 'ocho', '9': 'nueve', '10': 'diez', '11': 'once', '25': 'veinticinco', '13': 'trece', '14': 'catorce', '15': 'quince', '16': 'dieciséis', '17': 'diecisiete', '18': 'dieciocho', '19': 'diecinueve', '20': 'veinte', '21': 'veintiuno', '22': 'veintidós', '23': 'veintitrés', '24': 'veinticuatro', '26': 'veintiséis', '27': 'veintisiete', '28': 'veintiocho', '29': 'veintinueve', '30': 'treinta', '31': 'treinta y uno', '32': 'treinta y dos', '33': 'treinta y tres', '34': 'treinta y cuatro', '35': 'treinta y cinco', '36': 'treinta y seis', '37': 'treinta y siete', '38': 'treinta y ocho', '39': 'treinta y nueve', '40': 'cuarenta', '41': 'cuarenta y uno', '42': 'cuarenta y dos', '43': 'cuarenta y tres', '44': 'cuarenta y cuatro', '45': 'cuarenta y cinco', '46': 'cuarenta y seis', '47': 'cuarenta y siete', '48': 'cuarenta y ocho', '49': 'cuarenta y nueve', '50': 'cincuenta', '51': 'cincuenta y uno', '52': 'cincuenta y dos', '53': 'cincuenta y tres', '54': 'cincuenta y cuatro', '55': 'cincuenta y cinco', '56': 'cincuenta y seis', '57': 'cincuenta y siete', '58': 'cincuenta y ocho', '59': 'cincuenta y nueve', '60': 'sesenta', '61': 'sesenta y uno', '62': 'sesenta y dos', '63': 'sesenta y tres', '64': 'sesenta y cuatro', '65': 'sesenta y cinco', '66': 'sesenta y seis', '67': 'sesenta y siete', '68': 'sesenta y ocho', '69': 'sesenta y nueve', '70': 'setenta y uno', '72': 'setenta y dos', '73': 'setenta y tres', '74': 'setenta y cuatro', '75': 'setenta y cinco', '76': 'setenta y seis', '77': 'setenta y siete', '78': 'setenta y ocho', '79': 'setenta y nueve', '80': 'ochenta y dos', '81': 'ochenta y uno', '83': 'ochenta y tres', '84': 'ochenta y cuatro', '85': 'ochenta y cinco', '86': 'ochenta y seis', '87': 'ochenta y siete', '88': 'ochenta y ocho', '89': 'ochenta y nueve', '90': 'noventa y cinco', '91': 'noventa y uno', '92': 'noventa y dos', '93': 'noventa y tres', '94': 'noventa y cuatro', '96': 'noventa y seis', '97': 'noventa y siete', '98': 'noventa y ocho', '99': 'noventa y nueve', '100': 'cien', '1000': 'mil', '∞': 'infinito', '±': 'más o menos', '∓': 'menos o más', '≈': 'aproximadamente', '≠': 'distinto', '≤': 'menor o igual', '≥': 'mayor o igual', '≡': 'idéntico', '→': 'flecha', '←': 'flecha izquierda', '↑': 'flecha arriba', '↓': 'flecha abajo', '⇒': 'implica', '⇔': 'si y sólo si', '∑': 'suma', '∏': 'producto', '∫': 'integral', '∂': 'derivada parcial', '∇': 'nabla', '∀': 'para todo', '∃': 'existe', '∈': 'pertenece', '∉': 'no pertenece', '∪': 'unión', '∩': 'intersección', '⊂': 'subconjunto', '⊆': 'subconjunto o igual', '⊃': 'superconjunto', '∅': 'conjunto vacío', '°': 'grados', 'ℝ': 'números reales', 'ℕ': 'números naturales', 'ℤ': 'números enteros', 'ℚ': 'números racionales', 'ℂ': 'números complejos'}, + "tam": {'.': 'புள்ளி', '+': 'கூட்டல்', '-': 'கழித்தல்', '×': 'பெருக்கல்', '÷': 'பகுத்தல்', '=': 'சமமான', '>': 'பெரியது', '<': 'குறைவான', 'π': 'பை', '√': 'சதுர மூல', '^': 'வெகுய', 'ϕ': 'பை', 'α': 'அல்பா', 'Ω': 'ஓமேகா', '~': 'தரக்கூடிய', '0': 'பூஜ்யம்', '1': 'ஒன்று', '2': 'இரண்டு', '3': 'மூன்று', '4': 'நான்கு', '5': 'ஐந்து', '6': 'ஆறு', '7': 'ஏழு', '8': 'எட்டு', '9': 'தொறு', '10': 'பத்து', '11': 'பதினொன்று', '25': 'பனிரண்டு', '13': 'பதிமூன்று', '14': 'பதினான்கு', '15': 'பதினைந்து', '16': 'பதினாறு', '17': 'பதினேழு', '18': 'பதினெட்டு', '19': 'பத்தொன்பது', '20': 'இருபது', '99': 'தொன்னூற்றொன்பது', '100': 'நூறு', '1000': 'ஆயிரம்', '∞': 'முடிவிலி', '±': 'கூட்டல் கழித்தல்', '∓': 'கழித்தல் கூட்டல்', '≈': 'தோராயமாக', '≠': 'சமமற்ற', '≤': 'குறைவு அல்லது சமம்', '≥': 'அதிகம் அல்லது சமம்', '≡': 'சர்வசமம்', '→': 'அம்பு', '←': 'இடது அம்பு', '↑': 'மேல் அம்பு', '↓': 'கீழ் அம்பு', '⇒': 'குறிக்கிறது', '⇔': 'அப்போது மட்டுமே', '∑': 'கூட்டுத்தொகை', '∏': 'பெருக்கல் தொகை', '∫': 'தொகையீடு', '∂': 'பகுதி வகையீடு', '∇': 'நாப்லா', '∀': 'அனைத்திற்கும்', '∃': 'உள்ளது', '∈': 'உறுப்பு', '∉': 'உறுப்பு அல்ல', '∪': 'சேர்ப்பு', '∩': 'வெட்டு', '⊂': 'உட்கணம்', '⊆': 'உட்கணம் அல்லது சமம்', '⊃': 'மேற்கணம்', '∅': 'வெற்றுக் கணம்', '°': 'பாகை', 'ℝ': 'மெய் எண்கள்', 'ℕ': 'இயல் எண்கள்', 'ℤ': 'முழு எண்கள்', 'ℚ': 'விகித எண்கள்', 'ℂ': 'சிக்கல் எண்கள்'}, + "tel": {'.': 'పేదల', '+': 'ప్లస్', '-': 'మైనస్', '×': 'గుణించు', '÷': 'భాగించు', '=': 'సమానం', '>': 'కంటే పెద్దది', '<': 'కంటే చిన్నది', 'π': 'పై', '√': 'చదరపు వేరు', '^': 'శక్తి', 'ϕ': 'ఫై', 'α': 'ఆల్ఫా', 'Ω': 'ఓమెగా', '~': 'సమానార్థకం', '0': 'సున్నా', '1': 'ఒకటి', '2': 'రెండు', '3': 'మూడు', '4': 'నాలుగు', '5': 'ఐదు', '6': 'ఆరు', '7': 'ఏడు', '8': 'ఎనిమిది', '9': 'తొమ్మిది', '10': 'పది', '11': 'పదకొండు', '25': 'ఇరవై ఐదు', '13': 'పదమూడు', '14': 'పద్నాలుగు', '15': 'పదిహేను', '16': 'పధినారు', '17': 'పదిహేడు', '18': 'పదిహెను', '19': 'పంతొమ్మిది', '20': 'ఇరవై', '21': 'ఇరవై ఒకటి', '22': 'ఇరవై రెండు', '23': 'ఇరవై మూడు', '24': 'ఇరవై నాలుగు', '26': 'ఇరవై ఆరు', '27': 'ఇరవై ఏడు', '28': 'ఇరవై ఎనిమిది', '29': 'ఇరవై తొమ్మిది', '30': 'ముప్పై', '31': 'ముప్పై ఒకటి', '32': 'ముప్పై రెండు', '33': 'ముప్పై మూడు', '99': 'తొమ్మిది తొంభై తొమ్మిది', '100': 'వంద', '1000': 'వెయ్యి', '∞': 'అనంతం', '±': 'కూడిక తీసివేత', '∓': 'తీసివేత కూడిక', '≈': 'సుమారుగా', '≠': 'సమానం కాదు', '≤': 'తక్కువ లేదా సమానం', '≥': 'ఎక్కువ లేదా సమానం', '≡': 'సర్వసమానం', '→': 'బాణం', '←': 'ఎడమ బాణం', '↑': 'పై బాణం', '↓': 'కింది బాణం', '⇒': 'సూచిస్తుంది', '⇔': 'అయితే మాత్రమే', '∑': 'మొత్తం', '∏': 'లబ్ధం', '∫': 'సమాకలనం', '∂': 'పాక్షిక అవకలనం', '∇': 'నాబ్లా', '∀': 'అన్నింటికీ', '∃': 'ఉన్నది', '∈': 'సభ్యం', '∉': 'సభ్యం కాదు', '∪': 'సంయోగం', '∩': 'ఖండనం', '⊂': 'ఉపసమితి', '⊆': 'ఉపసమితి లేదా సమానం', '⊃': 'అధిసమితి', '∅': 'శూన్య సమితి', '°': 'డిగ్రీ', 'ℝ': 'వాస్తవ సంఖ్యలు', 'ℕ': 'సహజ సంఖ్యలు', 'ℤ': 'పూర్ణ సంఖ్యలు', 'ℚ': 'అకరణీయ సంఖ్యలు', 'ℂ': 'సంకీర్ణ సంఖ్యలు'}, + "tur": {',': 'virgül', '+': 'artı', '-': 'eksi', '×': 'çarpı', '÷': 'bölü', '=': 'eşittir', '>': 'büyüktür', '<': 'küçüktür', 'π': 'pi', '√': 'karekök', '^': 'üs', 'ϕ': 'fi', 'α': 'alfa', 'Ω': 'omega', '~': 'eşdeğer', '0': 'sıfır', '1': 'bir', '2': 'iki', '3': 'üç', '4': 'dört', '5': 'beş', '6': 'altı', '7': 'yedi', '8': 'sekiz', '9': 'dokuz', '10': 'on', '11': 'on bir', '25': 'yirmi beş', '13': 'on üç', '14': 'on dört', '15': 'on beş', '16': 'on altı', '17': 'on yedi', '18': 'on sekiz', '19': 'on dokuz', '20': 'yirmi', '21': 'yirmi bir', '22': 'yirmi iki', '23': 'yirmi üç', '24': 'yirmi dört', '26': 'yirmi altı', '27': 'yirmi yedi', '28': 'yirmi sekiz', '29': 'yirmi dokuz', '30': 'otuz', '31': 'otuz bir', '32': 'otuz iki', '33': 'otuz üç', '99': 'doksan dokuz', '100': 'yüz', '1000': 'bin', '∞': 'sonsuz', '±': 'artı eksi', '∓': 'eksi artı', '≈': 'yaklaşık', '≠': 'eşit değil', '≤': 'küçük eşit', '≥': 'büyük eşit', '≡': 'özdeş', '→': 'ok', '←': 'sol ok', '↑': 'yukarı ok', '↓': 'aşağı ok', '⇒': 'gerektirir', '⇔': 'ancak ve ancak', '∑': 'toplam', '∏': 'çarpım', '∫': 'integral', '∂': 'kısmi türev', '∇': 'nabla', '∀': 'her', '∃': 'vardır', '∈': 'elemanıdır', '∉': 'elemanı değildir', '∪': 'birleşim', '∩': 'kesişim', '⊂': 'alt küme', '⊆': 'alt küme veya eşit', '⊃': 'üst küme', '∅': 'boş küme', '°': 'derece', 'ℝ': 'reel sayılar', 'ℕ': 'doğal sayılar', 'ℤ': 'tam sayılar', 'ℚ': 'rasyonel sayılar', 'ℂ': 'karmaşık sayılar'}, + "yor": {'.': 'point', '+': 'àfikún', '-': 'iyọkúrò', '×': 'ìṣakòpọ̀', '÷': 'pín', '=': 'dáa si', '>': 'tóbi ju', '<': 'kéré ju', 'π': 'pi', '√': 'gbongbo méjì', '^': 'àkójọpọ̀', 'ϕ': 'fi', 'α': 'alfa', 'Ω': 'omega', '~': 'dogba', '0': 'ọdún', '1': 'ọ̀kan', '2': 'èjì', '3': 'ẹ̀ta', '4': 'ẹ̀rin', '5': 'àrùn', '6': 'ẹ̀fà', '7': 'èje', '8': 'ẹ̀jọ̀', '9': 'ẹ̀sàn', '10': 'ẹ̀wá', '11': 'mókànlá', '25': 'ogún mẹ́dọ́gbọ̀n', '13': 'mẹ̀tàlá', '14': 'mẹ̀rìnlá', '15': 'mẹ́tàdínlógún', '16': 'mẹ́rìndínlógún', '17': 'mẹ́tàdínlógún', '18': 'mẹ́jọdínlógún', '19': 'mẹ́sànándínlógún', '20': 'ogún', '21': 'ogún lẹ̀mẹ̀tà', '22': 'ogún méjì', '23': 'ogún mẹ̀ta', '24': 'ogún mẹ̀rin', '26': 'ogún mẹ̀fà', '27': 'ogún mẹ̀je', '28': 'ogún mẹ̀jọ', '29': 'ogún mẹ̀sànán', '30': 'ọgbọ̀n', '31': 'ọgbọ̀n lẹ̀mẹ̀tà', '32': 'ọgbọ̀n méjì', '33': 'ọgbọ̀n mẹ̀ta', '34': 'ọgbọ̀n mẹ̀rin', '35': 'ọgbọ̀n mẹ́dọ́gbọ̀n', '36': 'ọgbọ̀n mẹ̀fà', '37': 'ọgbọ̀n mẹ̀je', '38': 'ọgbọ̀n mẹ̀jọ', '39': 'ọgbọ̀n mẹ̀sànán', '40': 'ogójì', '41': 'ogójì lẹ̀mẹ̀tà', '42': 'ogójì méjì', '43': 'ogójì mẹ̀ta', '44': 'ogójì mẹ̀rin', '45': 'ogójì mẹ́dọ́gbọ̀n', '46': 'ogójì mẹ̀fà', '47': 'ogójì mẹ̀je', '48': 'ogójì mẹ̀jọ', '49': 'ogójì mẹ̀sànán', '50': 'àádọ́ta', '51': 'àádọ́ta lẹ̀mẹ̀tà', '52': 'àádọ́ta méjì', '53': 'àádọ́ta mẹ̀ta', '54': 'àádọ́ta mẹ̀rin', '55': 'àádọ́ta mẹ́dọ́gbọ̀n', '56': 'àádọ́ta mẹ̀fà', '57': 'àádọ́ta mẹ̀je', '58': 'àádọ́ta mẹ̀jọ', '59': 'àádọ́ta mẹ̀sànán', '60': 'ọgọ́ta', '99': 'ọgọ́rùn-ún mẹ̀sànán', '100': 'ọgọrun', '1000': 'ẹgbẹ̀rin', '∞': 'àìlópin', '±': 'àfikún ìyọkúrò', '∓': 'ìyọkúrò àfikún', '≈': 'ó fẹ́rẹ̀ tó', '≠': 'kò dọ́gba', '≤': 'kéré tàbí dọ́gba', '≥': 'tóbi tàbí dọ́gba', '≡': 'bákan náà', '→': 'ọfà', '←': 'ọfà òsì', '↑': 'ọfà òkè', '↓': 'ọfà ìsàlẹ̀', '⇒': 'túmọ̀ sí', '⇔': 'tí àti kìkì tí', '∑': 'àpapọ̀', '∏': 'èso ìsodipúpọ̀', '∫': 'àkójọ', '∂': 'àìpé àyípadà', '∇': 'nabla', '∀': 'fún gbogbo', '∃': 'ó wà', '∈': 'jẹ́ ọmọ ẹgbẹ́', '∉': 'kì í ṣe ọmọ ẹgbẹ́', '∪': 'ìṣọ̀kan', '∩': 'ìkóra', '⊂': 'ìpín abẹ́', '⊆': 'ìpín abẹ́ tàbí dọ́gba', '⊃': 'ìpín òkè', '∅': 'ìṣètò òfo', '°': 'ìwọ̀n', 'ℝ': 'àwọn nọ́mbà gidi', 'ℕ': 'àwọn nọ́mbà àdánidá', 'ℤ': 'àwọn nọ́mbà odindi', 'ℚ': 'àwọn nọ́mbà ìpín', 'ℂ': 'àwọn nọ́mbà dídíjú'}, +} + +language_clock = { + "eng": { + "midnight": "midnight", + "noon": "noon", + "special_hours": {0: "midnight", 12: "noon"}, + "oclock": "{hour} o'clock", + "past": "{minute} past {hour}", + "to": "{minute} to {next_hour}", + "quarter_past": "quarter past {hour}", + "half_past": "half past {hour}", + "quarter_to": "quarter to {next_hour}", + "second": "{second} seconds", + "full": "{phrase} and {second_phrase}", + }, + "fra": { + "midnight": "minuit", + "noon": "midi", + "special_hours": {0: "minuit", 12: "midi"}, + "oclock": "{hour} heures", + "past": "{hour} heures {minute}", + "to": "{next_hour} heures moins {minute}", + "quarter_past": "{hour} heures et quart", + "half_past": "{hour} heures et demie", + "quarter_to": "{next_hour} heures moins le quart", + "second": "{second} secondes", + "full": "{phrase} et {second_phrase}", + }, + "deu": { + "midnight": "Mitternacht", + "noon": "Mittag", + "special_hours": {0: "Mitternacht", 12: "Mittag"}, + "oclock": "{hour} Uhr", + "past": "{minute} nach {hour}", + "to": "{minute} vor {next_hour}", + "quarter_past": "Viertel nach {hour}", + "half_past": "halb {next_hour}", + "quarter_to": "Viertel vor {next_hour}", + "second": "{second} Sekunden", + "full": "{phrase} und {second_phrase}", + }, + "ara": { + "midnight": "منتصف الليل", + "noon": "الظهر", + "special_hours": {0: "منتصف الليل", 12: "الظهر"}, + "oclock": "{hour} تماماً", + "past": "الساعة {hour} و{minute}", + "to": "الساعة {next_hour} إلا {minute}", + "quarter_past": "الساعة {hour} والربع", + "half_past": "الساعة {hour} والنصف", + "quarter_to": "الساعة {next_hour} إلا ربعًا", + "second": "{second} ثانية", + "full": "{phrase} و {second_phrase}", + }, + "ben": { + "midnight": "মধ্যরাত", + "noon": "দুপুর", + "special_hours": {0: "মধ্যরাত", 12: "দুপুর"}, + "oclock": "{hour}টা", + "past": "{hour}টা {minute} মিনিট", + "to": "{next_hour}টা {minute} মিনিট বাকি", + "quarter_past": "{hour}টা পনেরো মিনিট", + "half_past": "{hour}টা ত্রিশ মিনিট", + "quarter_to": "{next_hour}টা পঁয়তাল্লিশ মিনিট", + "second": "{second} সেকেন্ড", + "full": "{phrase} এবং {second_phrase}", + }, + "zho": { + "midnight": "午夜", + "noon": "中午", + "special_hours": {0: "午夜", 12: "中午"}, + "oclock": "{hour}点", + "past": "{hour}点{minute}分", + "to": "{next_hour}点差{minute}分", + "quarter_past": "{hour}点一刻", + "half_past": "{hour}点半", + "quarter_to": "{next_hour}点差一刻", + "second": "{second}秒", + "full": "{phrase}{second_phrase}", + }, + "fas": { + "midnight": "نیمه‌شب", + "noon": "ظهر", + "special_hours": {0: "نیمه‌شب", 12: "ظهر"}, + "oclock": "{hour} کامل", + "past": "{minute} دقیقه بعد از {hour}", + "to": "{minute} دقیقه به {next_hour}", + "quarter_past": "ربع بعد از {hour}", + "half_past": "نیم بعد از {hour}", + "quarter_to": "یک ربع به {next_hour}", + "second": "{second} ثانیه", + "full": "{phrase} و {second_phrase}", + }, + "hin": { + "midnight": "मध्यरात्रि", + "noon": "दोपहर", + "special_hours": {0: "मध्यरात्रि", 12: "दोपहर"}, + "oclock": "{hour} बजे", + "past": "{hour} बजकर {minute} मिनट", + "to": "{next_hour} बजे में {minute} मिनट", + "quarter_past": "{hour} बजकर पंद्रह मिनट", + "half_past": "{hour} बजकर तीस मिनट", + "quarter_to": "{next_hour} बजे में पैंतालीस मिनट", + "second": "{second} सेकंड", + "full": "{phrase} और {second_phrase}", + }, + "hun": { + "midnight": "éjfél", + "noon": "dél", + "special_hours": {0: "éjfél", 12: "dél"}, + "oclock": "{hour} óra", + "past": "{hour} óra {minute} perc", + "to": "{next_hour} óra előtt {minute} perc", + "quarter_past": "negyed {next_hour}", + "half_past": "fél {next_hour}", + "quarter_to": "háromnegyed {next_hour}", + "second": "{second} másodperc", + "full": "{phrase} és {second_phrase}", + }, + "ind": { + "midnight": "tengah malam", + "noon": "tengah hari", + "special_hours": {0: "tengah malam", 12: "tengah hari"}, + "oclock": "jam {hour}", + "past": "jam {hour} lewat {minute} menit", + "to": "jam {next_hour} kurang {minute} menit", + "quarter_past": "jam {hour} lewat seperempat", + "half_past": "jam {hour} lewat setengah", + "quarter_to": "jam {next_hour} kurang seperempat", + "second": "{second} detik", + "full": "{phrase} dan {second_phrase}", + }, + "ita": { + "midnight": "mezzanotte", + "noon": "mezzogiorno", + "special_hours": {0: "mezzanotte", 12: "mezzogiorno"}, + "oclock": "le {hour}", + "past": "le {hour} e {minute}", + "to": "le {next_hour} meno {minute}", + "quarter_past": "le {hour} e un quarto", + "half_past": "le {hour} e mezza", + "quarter_to": "le {next_hour} meno un quarto", + "second": "{second} secondi", + "full": "{phrase} e {second_phrase}", + }, + "jpn": { + "midnight": "午前零時", + "noon": "正午", + "special_hours": {0: "午前零時", 12: "正午"}, + "oclock": "{hour}時", + "past": "{hour}時{minute}分", + "to": "{next_hour}時{minute}分前", + "quarter_past": "{hour}時15分", + "half_past": "{hour}時半", + "quarter_to": "{next_hour}時15分前", + "second": "{second}秒", + "full": "{phrase}{second_phrase}", + }, + "kor": { + "midnight": "자정", + "noon": "정오", + "special_hours": {0: "자정", 12: "정오"}, + "oclock": "{hour}시", + "past": "{hour}시 {minute}분", + "to": "{next_hour}시 {minute_to_hour}분 전", + "quarter_past": "{hour}시 15분", + "half_past": "{hour}시 30분", + "quarter_to": "{next_hour}시 15분 전", + "second": "{second}초", + "full": "{phrase} {second_phrase}", + }, + "pol": { + "midnight": "północ", + "noon": "południe", + "special_hours": {0: "północ", 12: "południe"}, + "oclock": "{hour} godzina", + "past": "{minute} po {hour}", + "to": "za {minute_to_hour} {next_hour}", + "quarter_past": "kwadrans po {hour}", + "half_past": "wpół do {next_hour}", + "quarter_to": "za kwadrans {next_hour}", + "second": "{second} sekund", + "full": "{phrase} i {second_phrase}", + }, + "por": { + "midnight": "meia-noite", + "noon": "meio-dia", + "special_hours": {0: "meia-noite", 12: "meio-dia"}, + "oclock": "{hour} horas", + "past": "{hour} e {minute}", + "to": "{next_hour} menos {minute_to_hour}", + "quarter_past": "{hour} e um quarto", + "half_past": "{hour} e meia", + "quarter_to": "um quarto para as {next_hour}", + "second": "{second} segundos", + "full": "{phrase} e {second_phrase}", + }, + "rus": { + "midnight": "полночь", + "noon": "полдень", + "special_hours": {0: "полночь", 12: "полдень"}, + "oclock": "{hour} часов", + "past": "{minute} минут после {hour}", + "to": "без {minute_to_hour} минут {next_hour}", + "quarter_past": "четверть после {hour}", + "half_past": "половина {next_hour}", + "quarter_to": "без четверти {next_hour}", + "second": "{second} секунд", + "full": "{phrase} и {second_phrase}", + }, + "spa": { + "midnight": "medianoche", + "noon": "mediodía", + "special_hours": {0: "medianoche", 12: "mediodía"}, + "oclock": "las {hour}", + "past": "las {hour} y {minute}", + "to": "las {next_hour} menos {minute_to_hour}", + "quarter_past": "las {hour} y cuarto", + "half_past": "las {hour} y media", + "quarter_to": "las {next_hour} menos cuarto", + "second": "{second} segundos", + "full": "{phrase} y {second_phrase}", + }, + "tam": { + "midnight": "நள்ளிரவு", + "noon": "நண்பகல்", + "special_hours": {0: "நள்ளிரவு", 12: "நண்பகல்"}, + "oclock": "{hour} மணி", + "past": "{hour} மணி {minute} நிமிடம்", + "to": "{next_hour} மணி {minute_to_hour} நிமிடம் குறைவு", + "quarter_past": "{hour} மணி பதினைந்து நிமிடம்", + "half_past": "{hour} மணி முப்பது நிமிடம்", + "quarter_to": "{next_hour} மணி பத்திஐந்து நிமிடம் குறைவு", + "second": "{second} வினாடி", + "full": "{phrase} மற்றும் {second_phrase}", + }, + "tel": { + "midnight": "అర్ధరాత్రి", + "noon": "మధ్యాహ్నం", + "special_hours": {0: "అర్ధరాత్రి", 12: "మధ్యాహ్నం"}, + "oclock": "{hour} గంటలు", + "past": "{hour} గంటలు {minute} నిమిషాలు", + "to": "{next_hour} గంటలకు {minute_to_hour} నిమిషాలు తక్కువ", + "quarter_past": "{hour} గంటలు పదిహేను నిమిషాలు", + "half_past": "{hour} గంటలు ముప్పై నిమిషాలు", + "quarter_to": "{next_hour} గంటలకు పదిహేను నిమిషాలు తక్కువ", + "second": "{second} సెకన్లు", + "full": "{phrase} మరియు {second_phrase}", + }, + "tur": { + "midnight": "gece yarısı", + "noon": "öğle", + "special_hours": {0: "gece yarısı", 12: "öğle"}, + "oclock": "{hour} tam", + "past": "{hour}i {minute} geçiyor", + "to": "{next_hour}e {minute_to_hour} var", + "quarter_past": "{hour}i çeyrek geçiyor", + "half_past": "{hour}i buçuk geçiyor", + "quarter_to": "{next_hour}e çeyrek var", + "second": "{second} saniye", + "full": "{phrase} ve {second_phrase}", + }, + "yor": { + "midnight": "àgogo oru", + "noon": "osán gangan", + "special_hours": {0: "àgogo oru", 12: "osán gangan"}, + "oclock": "ago {hour}", + "past": "ìṣẹ́jú {minute} lẹ́yìn ago {hour}", + "to": "ìṣẹ́jú {minute_to_hour} kí ago {next_hour} tó pé", + "quarter_past": "ìṣẹ́jú mẹ́ẹ̀ẹ̀dógún lẹ́yìn ago {hour}", + "half_past": "ìṣẹ́jú mẹ́ẹ̀dọ́gbọn lẹ́yìn ago {hour}", + "quarter_to": "ìṣẹ́jú mẹ́ẹ̀ẹ̀dógún kí ago {next_hour} tó pé", + "second": "ìṣẹ́jú-aaya {second}", + "full": "{phrase} àti {second_phrase}", + }, +} + +abbreviations_mapping = { + "eng": { + "Mr.": "Mister", + "Mrs.": "Mistress", + "Dr.": "Doctor", + "St.": "Saint", + "Jr.": "Junior", + "Sr.": "Senior", + "Prof.": "Professor", + "Capt.": "Captain", + "Ave.": "Avenue", + "Blvd.": "Boulevard", + "Rd.": "Road", + "Mt.": "Mount", + "etc.": "et cetera", + "vs.": "versus", + "e.g.": "for example", + "i.e.": "that is", + "et al.": "and others" + }, + "fra": { + "M.": "Monsieur", + "Mme.": "Madame", + "Mlle.": "Mademoiselle", + "Dr.": "Docteur", + "Pr.": "Professeur", + "St.": "Saint", + "av.": "avenue", + "bd.": "boulevard", + "etc.": "et cetera", + "ex.": "exemple", + "c.-à-d.": "c'est-à-dire" + }, + "spa": { + "Sr.": "Señor", + "Sra.": "Señora", + "Srta.": "Señorita", + "Dr.": "Doctor", + "Dra.": "Doctora", + "etc.": "et cetera", + "Ej.": "Ejemplo", + "Cía.": "Compañía", + "Av.": "Avenida", + "P. ej.": "Por ejemplo" + }, + "deu": { + "Hr.": "Herr", + "Fr.": "Frau", + "Dr.": "Doktor", + "z. B.": "zum Beispiel", + "u. a.": "unter anderem", + "etc.": "et cetera", + "Str.": "Straße", + "Bd.": "Band", + "Kap.": "Kapitel" + }, + "ita": { + "Sig.": "Signore", + "Sig.ra": "Signora", + "Dott.": "Dottore", + "S.p.A.": "Società per Azioni", + "ecc.": "eccetera", + "p. es.": "per esempio", + "Avv.": "Avvocato" + }, + "rus": { + "г.": "город", + "ул.": "улица", + "д.": "дом", + "т.": "телефон", + "т.д.": "так далее", + "и т.п.": "и тому подобное", + "просп.": "проспект", + "пр.": "проспект", + "тел.": "телефон", + "тов.": "товарищ", + "бульв.": "бульвар", + "руб.": "Рубль", + "пл.": "площадь" + }, + "zho": { + "先生": "先生", + "博士": "博士", + "教授": "教授", + "有限公司": "有限公司" + }, + "jpn": { + "㈱": "株式会社", + "㈲": "有限会社", + "〒": "郵便番号", + "No.": "ナンバー" + }, + "kor": { + "㈜": "주식회사", + "No.": "번호" + }, + "por": { + "Sr.": "Senhor", + "Sra.": "Senhora", + "Dr.": "Doutor", + "Dra.": "Doutora", + "etc.": "et cetera", + "Av.": "Avenida" + }, + "tur": { + "Sn.": "Sayın", + "Dr.": "Doktor", + "Örn.": "Örnek", + "Bşk.": "Başkan", + "Ltd. Şti.": "Limited Şirketi" + }, + "hin": { + "श्री": "श्रीमान", + "डॉ.": "डॉक्टर", + "संप्र.": "संपर्क करें" + }, + "ben": { + "ডঃ": "ডাক্তার", + "জনাব": "জনাব (Mister)" + }, + "ara": { + "د.": "دكتور", + "أ.د.": "أستاذ دكتور", + "س.م.": "شركة مساهمة" + }, + "fas": { + "آقاي": "آقاي (Mister)", + "خانم": "خانم (Madam)" + }, + "hun": { + "Dr.": "Doktor", + "u.": "utca", + "pl.": "plac", + "stb.": "stb." + }, + "pol": { + "Dr.": "Doktor", + "pl.": "plac", + "ul.": "ulica", + "np.": "na przykład" + }, + "ind": { + "Bpk.": "Bapak", + "Ibu": "Ibu", + "Jl.": "Jalan", + "Ds.": "Desa" + }, + "jav": { + "Bpk.": "Bapak", + "Ibu": "Ibu" + }, + "tam": { + "அ.தி.மு.க.": "அண்ணா திராவிட முன்னேற்ற கழகம்", + "மு.க.": "முத்துக்குமார்" + }, + "tel": { + "డా.": "డాక్టర్", + "శ్రీ": "శ్రీమాన్" + }, + "yor": { + "Bàbá": "Bàbá (Father)", + "Ìyá": "Ìyá (Mother)" + } +} + +chapter_word_mapping = { + "eng": ["chapter", "part", "psalm", "section", "paragraph", "article", "tome"], + "fra": ["chapitre", "partie", "psaume", "section", "paragraphe", "article", "tome"], + "spa": ["capítulo", "parte", "salmo", "sección", "párrafo", "artículo", "tomo"], + "deu": ["Kapitel", "Teil", "Psalm", "Abschnitt", "Absatz", "Artikel", "Band"], + "ita": ["capitolo", "parte", "salmo", "sezione", "paragrafo", "articolo", "tomo"], + "rus": ["глава", "часть", "псалом", "раздел", "параграф", "статья", "том"], + "zho": ["章节", "部分", "诗篇", "节", "段落", "条款", "卷"], + "jpn": ["章", "部", "詩編", "節", "段落", "条項", "巻"], + "kor": ["장", "부분", "시편", "절", "단락", "조항", "권"], + "por": ["capítulo", "parte", "salmo", "seção", "parágrafo", "artigo", "tomo"], + "tur": ["bölüm", "parça", "mezmur", "kısım", "paragraf", "madde", "cilt"], + "hin": ["अध्याय", "भाग", "भजन", "अनुभाग", "अनुच्छेद", "धारा", "खंड"], + "ben": ["অধ্যায়", "অংশ", "গীত", "অনুচ্ছেদ", "ধারা", "ধারা", "খণ্ড"], + "ara": ["فصل", "جزء", "مزمور", "قسم", "فقرة", "مادة", "مجلد"], + "fas": ["فصل", "بخش", "مزمور", "قسمت", "بند", "ماده", "جلد"], + "hun": ["fejezet", "rész", "zsoltár", "szakasz", "bekezdés", "cikk", "kötet"], + "pol": ["rozdział", "część", "psalm", "sekcja", "akapit", "artykuł", "tom"], + "ind": ["bab", "bagian", "mazmur", "seksi", "paragraf", "artikel", "jilid"], + "jav": ["bab", "bagean", "mazmur", "bagéan", "paragraf", "artikel", "jilid"], + "tam": ["அத்தியாயம்", "பகுதி", "சங்கீதம்", "பிரிவு", "பத்தி", "அம்சம்", "தொகுதி"], + "tel": ["అధ్యాయం", "భాగం", "కీర్తన", "విభాగం", "పేరా", "ఆర్టికల్", "ఖండం"], + "yor": ["ori", "apa", "orin", "ipin", "abala", "abala", "iwe"] +} + +specialchars_mapping = { + "eng": { + "&": "and", + "@": "at", + "%": "percent", + "°": "degrees", + "§": "section" + }, + "fra": { + "&": "et", + "@": "arobase", + "%": "pour cent", + "°": "degrés", + "§": "section" + }, + "spa": { + "&": "y", + "@": "arroba", + "%": "por ciento", + "°": "grados", + "§": "sección" + }, + "deu": { + "&": "und", + "@": "Klammeraffe", + "%": "Prozent", + "°": "Grad", + "§": "Paragraph" + }, + "ita": { + "&": "e", + "@": "chiocciola", + "%": "percento", + "°": "gradi", + "§": "sezione" + }, + "rus": { + "&": "и", + "@": "собака", + "%": "процент", + "°": "градусов", + "§": "параграф" + }, + "zho": { + "&": "和", + "@": "艾特", + "%": "百分之", + "°": "度", + "§": "节" + }, + "jpn": { + "&": "と", + "@": "アットマーク", + "%": "パーセント", + "°": "度", + "§": "セクション" + }, + "kor": { + "&": "그리고", + "@": "골뱅이", + "%": "퍼센트", + "°": "도", + "§": "절" + }, + "por": { + "&": "e", + "@": "arroba", + "%": "por cento", + "°": "graus", + "§": "seção" + }, + "tur": { + "&": "ve", + "@": "et", + "%": "yüzde", + "°": "derece", + "§": "bölüm" + }, + "hin": { + "&": "और", + "@": "एट", + "%": "प्रतिशत", + "°": "डिग्री", + "§": "अनुभाग" + }, + "ben": { + "&": "এবং", + "@": "অ্যাট", + "%": "শতাংশ", + "°": "ডিগ্রি", + "§": "অনুচ্ছেদ" + }, + "ara": { + "&": "و", + "@": "آت", + "%": "بالمئة", + "°": "درجة", + "§": "قسم" + }, + "fas": { + "&": "و", + "@": "ات", + "%": "درصد", + "°": "درجه", + "§": "بخش" + }, + "hun": { + "&": "és", + "@": "kukac", + "%": "százalék", + "°": "fok", + "§": "szakasz" + }, + "pol": { + "&": "i", + "@": "małpa", + "%": "procent", + "°": "stopni", + "§": "sekcja" + }, + "ind": { + "&": "dan", + "@": "at", + "%": "persen", + "°": "derajat", + "§": "bagian" + }, + "jav": { + "&": "lan", + "@": "at", + "%": "persen", + "°": "derajat", + "§": "bagian" + }, + "tam": { + "&": "மற்றும்", + "@": "அட்", + "%": "சதவீதம்", + "°": "டிகிரி", + "§": "பிரிவு" + }, + "tel": { + "&": "మరియు", + "@": "అట్", + "%": "శాతం", + "°": "డిగ్రీ", + "§": "విభాగం" + }, + "yor": { + "&": "ati", + "@": "ni", + "%": "ogorun", + "°": "ìpele", + "§": "apakan" + } +} + +ipa_mapping = [ + # ── Affricates (must be before their components) ── + ('t͡ʃ', 'ch'), ('tʃ', 'ch'), + ('d͡ʒ', 'j'), ('dʒ', 'j'), + ('t͡s', 'ts'), ('ts', 'ts'), + ('d͡z', 'dz'), ('dz', 'dz'), + ('t͡ɕ', 'ch'), ('tɕ', 'ch'), + ('d͡ʑ', 'j'), ('dʑ', 'j'), + ('p͡f', 'pf'), ('pf', 'pf'), + + # ── Diphthongs / vowel combos ── + ('aɪ', 'ai'), ('eɪ', 'ay'), ('ɔɪ', 'oy'), + ('aʊ', 'ow'), ('əʊ', 'oh'), ('oʊ', 'oh'), + ('ɪə', 'eer'), ('ɛə', 'air'), ('ʊə', 'oor'), + ('ɔʏ', 'oy'), ('aɪ̯', 'ai'), ('aʊ̯', 'ow'), + + # ── Long vowels ── + ('iː', 'ee'), ('uː', 'oo'), ('ɑː', 'ah'), + ('ɔː', 'aw'), ('ɜː', 'ur'), ('eː', 'ay'), + ('oː', 'oh'), ('aː', 'ah'), ('øː', 'eu'), + ('yː', 'ue'), ('ɛː', 'eh'), ('œː', 'eu'), + ('ɐː', 'ar'), ('ʉː', 'oo'), + + # ── Nasal vowels ── + ('ɛ̃', 'an'), ('ɑ̃', 'on'), ('ɔ̃', 'on'), + ('œ̃', 'un'), ('ã', 'an'), ('õ', 'on'), + ('ĩ', 'in'), ('ũ', 'oon'), + + # ── Rhotics ── + ('ɹ', 'r'), ('ɾ', 'r'), ('ʁ', 'r'), + ('ɽ', 'r'), ('ɻ', 'r'), ('ʀ', 'r'), + ('r', 'r'), + + # ── Laterals ── + ('ɫ', 'l'), ('ɭ', 'l'), ('ʎ', 'ly'), + ('ɬ', 'hl'), ('ɮ', 'zhl'), + + # ── Nasals ── + ('ŋ', 'ng'), ('ɲ', 'ny'), ('ɳ', 'n'), + ('ɴ', 'ng'), ('ɱ', 'm'), + + # ── Fricatives ── + ('ʃ', 'sh'), ('ʒ', 'zh'), ('θ', 'th'), ('ð', 'th'), + ('ɕ', 'sh'), ('ʑ', 'zh'), ('ç', 'h'), ('ʝ', 'y'), + ('x', 'kh'), ('ɣ', 'gh'), ('χ', 'kh'), ('ʁ', 'r'), + ('ħ', 'h'), ('ʕ', 'ah'), ('ɦ', 'h'), ('ʜ', 'h'), + ('β', 'v'), ('ɸ', 'f'), ('ʋ', 'v'), + + # ── Stops ── + ('ʔ', ''), ('ɖ', 'd'), ('ʈ', 't'), + ('ɟ', 'j'), ('ɡ', 'g'), ('ɢ', 'g'), + + # ── Approximants / glides ── + ('ɥ', 'w'), ('ɰ', 'w'), ('j', 'y'), ('w', 'w'), + + # ── Short vowels ── + ('ɛ', 'e'), ('æ', 'a'), ('ɪ', 'i'), ('ʊ', 'oo'), + ('ə', 'uh'), ('ʌ', 'u'), ('ɒ', 'o'), ('ɑ', 'ah'), + ('ɔ', 'aw'), ('ɜ', 'ur'), ('ɐ', 'ah'), ('ɨ', 'i'), + ('ʉ', 'oo'), ('ɵ', 'o'), ('ɘ', 'uh'), ('ɤ', 'uh'), + ('ø', 'eu'), ('œ', 'eu'), ('y', 'ue'), ('ʏ', 'u'), + ('ɶ', 'a'), ('ɯ', 'oo'), ('ɞ', 'ur'), + ('e', 'e'), ('o', 'o'), ('a', 'a'), ('i', 'i'), ('u', 'oo'), + + # ── Clicks (rare, best effort) ── + ('ʘ', 'p'), ('ǀ', 't'), ('ǃ', 'k'), + ('ǂ', 'k'), ('ǁ', 'l'), + + # ── Implosives ── + ('ɓ', 'b'), ('ɗ', 'd'), ('ɠ', 'g'), + ('ʄ', 'j'), ('ʛ', 'g'), + + # ── Suprasegmentals (strip) ── + ('ˈ', ''), ('ˌ', ''), ('ː', ''), ('ˑ', ''), + ('̩', ''), ('̯', ''), ('̃', ''), ('̥', ''), + ('̊', ''), ('̤', ''), ('̰', ''), ('̹', ''), + ('̜', ''), ('̟', ''), ('̠', ''), ('̈', ''), + ('̽', ''), ('͡', ''), ('͜', ''), + ('ˡ', ''), ('ʰ', 'h'), ('ʷ', 'w'), + ('ʲ', 'y'), ('ˤ', ''), ('ⁿ', 'n'), + ('.', ''), ('|', ''), ('‖', ''), +] + +language_mapping = { + "ara": {"name": "Arabic", "native_name": "العربية", "max_chars": 166, "script": "arabic"}, + "ben": {"name": "Bengali", "native_name": "বাংলা", "max_chars": 142, "script": "bengali"}, + "zho": {"name": "Chinese", "native_name": "中文", "max_chars": 82, "script": "chinese"}, + "eng": {"name": "English", "native_name": "English", "max_chars": 250, "script": "latin"}, + "fra": {"name": "French", "native_name": "Français", "max_chars": 273, "script": "latin"}, + "deu": {"name": "German, Standard", "native_name": "Deutsch", "max_chars": 253, "script": "latin"}, + "hin": {"name": "Hindi", "native_name": "हिन्दी", "max_chars": 142, "script": "devanagari"}, + "hun": {"name": "Hungarian", "native_name": "Magyar", "max_chars": 224, "script": "latin"}, + "ind": {"name": "Indonesian", "native_name": "Bahasa Indonesia", "max_chars": 182, "script": "latin"}, + "ita": {"name": "Italian", "native_name": "Italiano", "max_chars": 213, "script": "latin"}, + "jav": {"name": "Javanese", "native_name": "Basa Jawa", "max_chars": 182, "script": "latin"}, + "jpn": {"name": "Japanese", "native_name": "日本語", "max_chars": 71, "script": "japanese"}, + "kor": {"name": "Korean", "native_name": "한국어", "max_chars": 95, "script": "hangul"}, + "fas": {"name": "Persian", "native_name": "فارسی", "max_chars": 182, "script": "arabic"}, + "pol": {"name": "Polish", "native_name": "Polski", "max_chars": 224, "script": "latin"}, + "por": {"name": "Portuguese", "native_name": "Português", "max_chars": 203, "script": "latin"}, + "rus": {"name": "Russian", "native_name": "Русский", "max_chars": 182, "script": "cyrillic"}, + "spa": {"name": "Spanish", "native_name": "Español", "max_chars": 239, "script": "latin"}, + "tam": {"name": "Tamil", "native_name": "தமிழ்", "max_chars": 142, "script": "tamil"}, + "tel": {"name": "Telugu", "native_name": "తెలుగు", "max_chars": 142, "script": "telugu"}, + "tur": {"name": "Turkish", "native_name": "Türkçe", "max_chars": 226, "script": "latin"}, + "yor": {"name": "Yoruba", "native_name": "Èdè Yorùbá", "max_chars": 142, "script": "latin"}, + + "zzz": {"name": "------------------ More languages (A to Z) ------------------", "native_name": "------------------ More languages (A to Z) ------------------", "max_chars": 182, "script": "latin"}, + + "abi": {"name": "Abidji", "native_name": "Abidji", "max_chars": 142, "script": "latin"}, + "ace": {"name": "Aceh", "native_name": "Acèh", "max_chars": 142, "script": "latin"}, + "aca": {"name": "Achagua", "native_name": "Achagua", "max_chars": 142, "script": "latin"}, + "acn": {"name": "Achang", "native_name": "Achang", "max_chars": 182, "script": "latin"}, + "acr": {"name": "Achi", "native_name": "Achi", "max_chars": 182, "script": "latin"}, + "ach": {"name": "Acholi", "native_name": "Acholi", "max_chars": 142, "script": "latin"}, + "acu": {"name": "Achuar-Shiwiar", "native_name": "Achuar-Shiwiar", "max_chars": 142, "script": "latin"}, + "guq": {"name": "Aché", "native_name": "Aché", "max_chars": 182, "script": "latin"}, + "ade": {"name": "Adele", "native_name": "Adele", "max_chars": 182, "script": "latin"}, + "adj": {"name": "Adioukrou", "native_name": "Adioukrou", "max_chars": 142, "script": "latin"}, + "agd": {"name": "Agarabi", "native_name": "Agarabi", "max_chars": 142, "script": "latin"}, + "agx": {"name": "Aghul", "native_name": "Aghul", "max_chars": 142, "script": "latin"}, + "agn": {"name": "Agutaynen", "native_name": "Agutaynen", "max_chars": 142, "script": "latin"}, + "aha": {"name": "Ahanta", "native_name": "Ahanta", "max_chars": 182, "script": "latin"}, + "aka": {"name": "Akan", "native_name": "Akan", "max_chars": 182, "script": "latin"}, + "knj": {"name": "Akateko", "native_name": "Akateko", "max_chars": 142, "script": "latin"}, + "ake": {"name": "Akawaio", "native_name": "Akawaio", "max_chars": 142, "script": "latin"}, + "aeu": {"name": "Akeu", "native_name": "Akeu", "max_chars": 182, "script": "latin"}, + "ahk": {"name": "Akha", "native_name": "Akha", "max_chars": 182, "script": "latin"}, + "bss": {"name": "Akoose", "native_name": "Akoose", "max_chars": 182, "script": "latin"}, + "alj": {"name": "Alangan", "native_name": "Alangan", "max_chars": 182, "script": "latin"}, + "sqi": {"name": "Albanian", "native_name": "Shqip", "max_chars": 142, "script": "latin"}, + "alt": {"name": "Altai, Southern", "native_name": "Алтай тили", "max_chars": 182, "script": "cyrillic"}, + "alp": {"name": "Alune", "native_name": "Alune", "max_chars": 182, "script": "latin"}, + "alz": {"name": "Alur", "native_name": "Alur", "max_chars": 182, "script": "latin"}, + "amk": {"name": "Ambai", "native_name": "Ambai", "max_chars": 182, "script": "latin"}, + "mmg": {"name": "Ambrym, North", "native_name": "Ambrym", "max_chars": 142, "script": "latin"}, + "amh": {"name": "Amharic", "native_name": "አማርኛ", "max_chars": 182, "script": "ethiopic"}, + "ami": {"name": "Amis", "native_name": "Amis", "max_chars": 182, "script": "latin"}, + "azg": {"name": "Amuzgo, San Pedro Amuzgos", "native_name": "Amuzgo", "max_chars": 142, "script": "latin"}, + "agg": {"name": "Angor", "native_name": "Angor", "max_chars": 182, "script": "latin"}, + "boj": {"name": "Anjam", "native_name": "Anjam", "max_chars": 182, "script": "latin"}, + "cko": {"name": "Anufo", "native_name": "Anufo", "max_chars": 142, "script": "latin"}, + "any": {"name": "Anyin", "native_name": "Anyin", "max_chars": 182, "script": "latin"}, + "arl": {"name": "Arabela", "native_name": "Arabela", "max_chars": 182, "script": "latin"}, + "atq": {"name": "Aralle-Tabulahan", "native_name": "Aralle-Tabulahan", "max_chars": 182, "script": "latin"}, + "luc": {"name": "Aringa", "native_name": "Aringa", "max_chars": 182, "script": "latin"}, + "hyw": {"name": "Armenian, Western", "native_name": "Հայերեն", "max_chars": 182, "script": "latin"}, + "apr": {"name": "Arop-Lokep", "native_name": "Arop-Lokep", "max_chars": 182, "script": "latin"}, + "aia": {"name": "Arosi", "native_name": "Arosi", "max_chars": 182, "script": "latin"}, + "msy": {"name": "Aruamu", "native_name": "Aruamu", "max_chars": 142, "script": "latin"}, + "cni": {"name": "Asháninka", "native_name": "Asháninka", "max_chars": 142, "script": "latin"}, + "cjo": {"name": "Ashéninka, Pajonal", "native_name": "Ashéninka", "max_chars": 142, "script": "latin"}, + "cpu": {"name": "Ashéninka, Pichis", "native_name": "Ashéninka", "max_chars": 142, "script": "latin"}, + "cpb": {"name": "Ashéninka, Ucayali-Yurúa", "native_name": "Ashéninka", "max_chars": 142, "script": "latin"}, + "asm": {"name": "Assamese", "native_name": "অসমীয়া", "max_chars": 142, "script": "bengali"}, + "asa": {"name": "Asu", "native_name": "Asu", "max_chars": 182, "script": "latin"}, + "teo": {"name": "Ateso", "native_name": "Ateso", "max_chars": 182, "script": "latin"}, + "ati": {"name": "Attié", "native_name": "Attié", "max_chars": 142, "script": "latin"}, + "djk": {"name": "Aukan", "native_name": "Aukan", "max_chars": 182, "script": "latin"}, + "ava": {"name": "Avar", "native_name": "Авар", "max_chars": 182, "script": "cyrillic"}, + "avn": {"name": "Avatime", "native_name": "Avatime", "max_chars": 182, "script": "latin"}, + "avu": {"name": "Avokaya", "native_name": "Avokaya", "max_chars": 142, "script": "latin"}, + "awb": {"name": "Awa", "native_name": "Awa", "max_chars": 182, "script": "devanagari"}, + "kwi": {"name": "Awa-Cuaiquer", "native_name": "Awa-Cuaiquer", "max_chars": 182, "script": "latin"}, + "awa": {"name": "Awadhi", "native_name": "अवधी", "max_chars": 142, "script": "devanagari"}, + "agr": {"name": "Awajún", "native_name": "Awajún", "max_chars": 142, "script": "latin"}, + "agu": {"name": "Awakateko", "native_name": "Awakateko", "max_chars": 142, "script": "latin"}, + "ayr": {"name": "Aymara, Central", "native_name": "Aymara", "max_chars": 182, "script": "latin"}, + "ayo": {"name": "Ayoreo", "native_name": "Ayoreo", "max_chars": 142, "script": "latin"}, + "abp": {"name": "Ayta, Abellen", "native_name": "Abellen", "max_chars": 182, "script": "latin"}, + "blx": {"name": "Ayta, Mag-Indi", "native_name": "Mag-Indi", "max_chars": 182, "script": "latin"}, + "sgb": {"name": "Ayta, Mag-antsi", "native_name": "Mag-antsi", "max_chars": 182, "script": "latin"}, + "azj-script_cyrillic": {"name": "Azerbaijani, North - Cyrillic", "native_name": "Азәрбајҹан", "max_chars": 182, "script": "cyrillic"}, + "azj-script_latin": {"name": "Azerbaijani, North - Latin", "native_name": "Azərbaycan", "max_chars": 182, "script": "latin"}, + "azb": {"name": "Azerbaijani, South - Arabic", "native_name": "گؤنئی", "max_chars": 142, "script": "arabic"}, + "bba": {"name": "Baatonum", "native_name": "Baatonum", "max_chars": 142, "script": "latin"}, + "bhz": {"name": "Bada", "native_name": "Bada", "max_chars": 182, "script": "latin"}, + "bvc": {"name": "Baelelea", "native_name": "Baelelea", "max_chars": 142, "script": "latin"}, + "bfy": {"name": "Bagheli", "native_name": "बघेली", "max_chars": 142, "script": "devanagari"}, + "bgq": {"name": "Bagri", "native_name": "बागड़ी", "max_chars": 142, "script": "latin"}, + "bdq": {"name": "Bahnar", "native_name": "Bahnar", "max_chars": 182, "script": "latin"}, + "bdh": {"name": "Baka", "native_name": "Baka", "max_chars": 182, "script": "latin"}, + "bqi": {"name": "Bakhtiâri", "native_name": "بختیاری", "max_chars": 142, "script": "arabic"}, + "bjw": {"name": "Bakwé", "native_name": "Bakwé", "max_chars": 142, "script": "latin"}, + "blz": {"name": "Balantak", "native_name": "Balantak", "max_chars": 142, "script": "latin"}, + "ban": {"name": "Bali", "native_name": "Bali", "max_chars": 182, "script": "latin"}, + "bcc-script_latin": {"name": "Balochi, Southern - Latin", "native_name": "Balochi", "max_chars": 142, "script": "latin"}, + "bcc-script_arabic": {"name": "Balochi, Southern - Arabic", "native_name": "بلوچی", "max_chars": 142, "script": "arabic"}, + "bam": {"name": "Bamanankan", "native_name": "Bamanankan", "max_chars": 142, "script": "latin"}, + "ptu": {"name": "Bambam", "native_name": "Bambam", "max_chars": 142, "script": "latin"}, + "bcw": {"name": "Bana", "native_name": "Bana", "max_chars": 182, "script": "latin"}, + "bqj": {"name": "Bandial", "native_name": "Bandial", "max_chars": 182, "script": "latin"}, + "bno": {"name": "Bantoanon", "native_name": "Bantoanon", "max_chars": 142, "script": "latin"}, + "bbb": {"name": "Barai", "native_name": "Barai", "max_chars": 182, "script": "latin"}, + "bfa": {"name": "Bari", "native_name": "Bari", "max_chars": 182, "script": "latin"}, + "bjz": {"name": "Baruga", "native_name": "Baruga", "max_chars": 182, "script": "latin"}, + "bak": {"name": "Bashkort", "native_name": "Башҡорт", "max_chars": 182, "script": "cyrillic"}, + "eus": {"name": "Basque", "native_name": "Euskara", "max_chars": 142, "script": "latin"}, + "bsq": {"name": "Bassa", "native_name": "Bassa", "max_chars": 182, "script": "latin"}, + "akb": {"name": "Batak Angkola", "native_name": "Batak Angkola", "max_chars": 182, "script": "latin"}, + "btd": {"name": "Batak Dairi", "native_name": "Batak Dairi", "max_chars": 182, "script": "latin"}, + "btx": {"name": "Batak Karo", "native_name": "Batak Karo", "max_chars": 182, "script": "latin"}, + "bts": {"name": "Batak Simalungun", "native_name": "Batak Simalungun", "max_chars": 142, "script": "latin"}, + "bbc": {"name": "Batak Toba", "native_name": "Batak Toba", "max_chars": 182, "script": "latin"}, + "bvz": {"name": "Bauzi", "native_name": "Bauzi", "max_chars": 182, "script": "latin"}, + "bjv": {"name": "Bedjond", "native_name": "Bedjond", "max_chars": 142, "script": "latin"}, + "bep": {"name": "Behoa", "native_name": "Behoa", "max_chars": 142, "script": "latin"}, + "bkv": {"name": "Bekwarra", "native_name": "Bekwarra", "max_chars": 142, "script": "latin"}, + "bel": {"name": "Belarusian", "native_name": "Беларуская", "max_chars": 182, "script": "cyrillic"}, + "bzj": {"name": "Belize English Creole", "native_name": "Kriol", "max_chars": 182, "script": "latin"}, + "bem": {"name": "Bemba", "native_name": "Ichibemba", "max_chars": 142, "script": "latin"}, + "bng": {"name": "Benga", "native_name": "Benga", "max_chars": 182, "script": "latin"}, + "bom": {"name": "Berom", "native_name": "Berom", "max_chars": 182, "script": "latin"}, + "btt": {"name": "Bete-Bendi", "native_name": "Bete-Bendi", "max_chars": 182, "script": "latin"}, + "bha": {"name": "Bharia", "native_name": "Bharia", "max_chars": 142, "script": "latin"}, + "bgw": {"name": "Bhatri", "native_name": "Bhatri", "max_chars": 142, "script": "latin"}, + "bht": {"name": "Bhattiyali", "native_name": "Bhattiyali", "max_chars": 142, "script": "latin"}, + "beh": {"name": "Biali", "native_name": "Biali", "max_chars": 182, "script": "latin"}, + "sne": {"name": "Bidayuh, Bau", "native_name": "Bidayuh Bau", "max_chars": 182, "script": "latin"}, + "ubl": {"name": "Bikol, Buhi’non", "native_name": "Bikol Buhi’non", "max_chars": 182, "script": "latin"}, + "bcl": {"name": "Bikol, Central", "native_name": "Bikol Central", "max_chars": 182, "script": "latin"}, + "bim": {"name": "Bimoba", "native_name": "Bimoba", "max_chars": 142, "script": "latin"}, + "bkd": {"name": "Binukid", "native_name": "Binukid", "max_chars": 142, "script": "latin"}, + "bjr": {"name": "Binumarien", "native_name": "Binumarien", "max_chars": 142, "script": "latin"}, + "bfo": {"name": "Birifor, Malba", "native_name": "Birifor Malba", "max_chars": 142, "script": "latin"}, + "biv": {"name": "Birifor, Southern", "native_name": "Birifor Southern", "max_chars": 182, "script": "latin"}, + "bib": {"name": "Bisa", "native_name": "Bisa", "max_chars": 182, "script": "latin"}, + "bis": {"name": "Bislama", "native_name": "Bislama", "max_chars": 182, "script": "latin"}, + "bzi": {"name": "Bisu", "native_name": "Bisu", "max_chars": 182, "script": "latin"}, + "bqp": {"name": "Bisã", "native_name": "Bisã", "max_chars": 182, "script": "latin"}, + "bpr": {"name": "Blaan, Koronadal", "native_name": "Blaan Koronadal", "max_chars": 142, "script": "latin"}, + "bps": {"name": "Blaan, Sarangani", "native_name": "Blaan Sarangani", "max_chars": 142, "script": "latin"}, + "bwq": {"name": "Bobo Madaré, Southern", "native_name": "Bobo Madaré Southern", "max_chars": 182, "script": "latin"}, + "bdv": {"name": "Bodo Parja", "native_name": "Bodo Parja", "max_chars": 182, "script": "latin"}, + "bqc": {"name": "Boko", "native_name": "Boko", "max_chars": 182, "script": "latin"}, + "bus": {"name": "Bokobaru", "native_name": "Bokobaru", "max_chars": 142, "script": "latin"}, + "bnp": {"name": "Bola", "native_name": "Bola", "max_chars": 182, "script": "latin"}, + "bmq": {"name": "Bomu", "native_name": "Bomu", "max_chars": 182, "script": "latin"}, + "bdg": {"name": "Bonggi", "native_name": "Bonggi", "max_chars": 182, "script": "latin"}, + "boa": {"name": "Bora", "native_name": "Bora", "max_chars": 182, "script": "latin"}, + "ksr": {"name": "Borong", "native_name": "Borong", "max_chars": 182, "script": "latin"}, + "bor": {"name": "Borôro", "native_name": "Borôro", "max_chars": 142, "script": "latin"}, + "bru": {"name": "Bru, Eastern", "native_name": "Bru", "max_chars": 182, "script": "latin"}, + "box": {"name": "Buamu", "native_name": "Buamu", "max_chars": 142, "script": "latin"}, + "bzh": {"name": "Buang, Mapos", "native_name": "Buang", "max_chars": 182, "script": "latin"}, + "bgt": {"name": "Bughotu", "native_name": "Bughotu", "max_chars": 142, "script": "latin"}, + "sab": {"name": "Buglere", "native_name": "Buglere", "max_chars": 182, "script": "latin"}, + "bul": {"name": "Bulgarian", "native_name": "Български", "max_chars": 142, "script": "cyrillic"}, + "bwu": {"name": "Buli", "native_name": "Buli", "max_chars": 182, "script": "latin"}, + "bmv": {"name": "Bum", "native_name": "Bum", "max_chars": 182, "script": "latin"}, + "mya": {"name": "Burmese", "native_name": "မြန်မာ", "max_chars": 142, "script": "myanmar"}, + "tte": {"name": "Bwanabwana", "native_name": "Bwanabwana", "max_chars": 142, "script": "latin"}, + "cjp": {"name": "Cabécar", "native_name": "Cabécar", "max_chars": 142, "script": "latin"}, + "cbv": {"name": "Cacua", "native_name": "Cacua", "max_chars": 182, "script": "latin"}, + "kaq": {"name": "Capanahua", "native_name": "Capanahua", "max_chars": 142, "script": "latin"}, + "cot": {"name": "Caquinte", "native_name": "Caquinte", "max_chars": 142, "script": "latin"}, + "cbc": {"name": "Carapana", "native_name": "Carapana", "max_chars": 182, "script": "latin"}, + "car": {"name": "Carib", "native_name": "Carib", "max_chars": 182, "script": "latin"}, + "cat": {"name": "Catalan", "native_name": "Català", "max_chars": 142, "script": "latin"}, + "ceb": {"name": "Cebuano", "native_name": "Cebuano", "max_chars": 142, "script": "latin"}, + "cme": {"name": "Cerma", "native_name": "Cerma", "max_chars": 182, "script": "latin"}, + "cbi": {"name": "Chachi", "native_name": "Cha’palaa", "max_chars": 182, "script": "latin"}, + "ceg": {"name": "Chamacoco", "native_name": "Chamacoco", "max_chars": 142, "script": "latin"}, + "cly": {"name": "Chatino, Eastern Highland", "native_name": "Chatino", "max_chars": 182, "script": "latin"}, + "cya": {"name": "Chatino, Nopala", "native_name": "Chatino", "max_chars": 182, "script": "latin"}, + "che": {"name": "Chechen", "native_name": "Нохчийн", "max_chars": 142, "script": "cyrillic"}, + "hne": {"name": "Chhattisgarhi", "native_name": "छत्तीसगढ़ी", "max_chars": 142, "script": "devanagari"}, + "nya": {"name": "Chichewa", "native_name": "Chichewa", "max_chars": 142, "script": "latin"}, + "dig": {"name": "Chidigo", "native_name": "Chidigo", "max_chars": 142, "script": "latin"}, + "dug": {"name": "Chiduruma", "native_name": "Chiduruma", "max_chars": 142, "script": "latin"}, + "bgr": {"name": "Chin, Bawm", "native_name": "Bawm Chin", "max_chars": 182, "script": "latin"}, + "cek": {"name": "Chin, Eastern Khumi", "native_name": "Khumi Chin", "max_chars": 182, "script": "latin"}, + "cfm": {"name": "Chin, Falam", "native_name": "Falam Chin", "max_chars": 182, "script": "latin"}, + "cnh": {"name": "Chin, Hakha", "native_name": "Hakha Chin", "max_chars": 182, "script": "latin"}, + "hlt": {"name": "Chin, Matu", "native_name": "Matu Chin", "max_chars": 182, "script": "latin"}, + "mwq": {"name": "Chin, Müün", "native_name": "Müün Chin", "max_chars": 182, "script": "latin"}, + "ctd": {"name": "Chin, Tedim", "native_name": "Tedim Chin", "max_chars": 182, "script": "latin"}, + "tcz": {"name": "Chin, Thado", "native_name": "Thado Chin", "max_chars": 182, "script": "latin"}, + "zyp": {"name": "Chin, Zyphe", "native_name": "Zyphe Chin", "max_chars": 182, "script": "latin"}, + "cco": {"name": "Chinantec, Comaltepec", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cnl": {"name": "Chinantec, Lalana", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cle": {"name": "Chinantec, Lealao", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "chz": {"name": "Chinantec, Ozumacín", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cpa": {"name": "Chinantec, Palantla", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cso": {"name": "Chinantec, Sochiapam", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cnt": {"name": "Chinantec, Tepetotutla", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "cuc": {"name": "Chinantec, Usila", "native_name": "Chinantec", "max_chars": 142, "script": "latin"}, + "hak": {"name": "Chinese, Hakka", "native_name": "客家話", "max_chars": 80, "script": "chinese"}, + "nan": {"name": "Chinese, Min Nan", "native_name": "閩南語", "max_chars": 80, "script": "chinese"}, + "xnj": {"name": "Chingoni", "native_name": "Chingoni", "max_chars": 182, "script": "latin"}, + "cap": {"name": "Chipaya", "native_name": "Chipaya", "max_chars": 182, "script": "latin"}, + "cax": {"name": "Chiquitano", "native_name": "Chiquitano", "max_chars": 142, "script": "latin"}, + "ctg": {"name": "Chittagonian", "native_name": "চাটগাঁইয়া", "max_chars": 80, "script": "bengali"}, + "ctu": {"name": "Chol", "native_name": "Ch’ol", "max_chars": 182, "script": "latin"}, + "chf": {"name": "Chontal, Tabasco", "native_name": "Chontal", "max_chars": 182, "script": "latin"}, + "cce": {"name": "Chopi", "native_name": "Chopi", "max_chars": 182, "script": "latin"}, + "crt": {"name": "Chorote, Iyojwa’ja", "native_name": "Iyojwa’ja Chorote", "max_chars": 182, "script": "latin"}, + "crq": {"name": "Chorote, Iyo’wujwa", "native_name": "Iyo’wujwa Chorote", "max_chars": 182, "script": "latin"}, + "cac-dialect_sansebastiáncoatán": {"name": "Chuj - San Sebastián Coatán", "native_name": "Chuj", "max_chars": 182, "script": "latin"}, + "cac-dialect_sanmateoixtatán": {"name": "Chuj - San Mateo Ixtatán", "native_name": "Chuj", "max_chars": 182, "script": "latin"}, + "ckt": {"name": "Chukchi", "native_name": "Чукотский", "max_chars": 142, "script": "cyrillic"}, + "ncu": {"name": "Chumburung", "native_name": "Chumburung", "max_chars": 142, "script": "latin"}, + "cdj": {"name": "Churahi", "native_name": "Churahi", "max_chars": 142, "script": "latin"}, + "chv": {"name": "Chuvash", "native_name": "Чӑвашла", "max_chars": 142, "script": "cyrillic"}, + "caa": {"name": "Ch’orti’", "native_name": "Ch’orti’", "max_chars": 182, "script": "latin"}, + "asg": {"name": "Cishingini", "native_name": "Cishingini", "max_chars": 142, "script": "latin"}, + "con": {"name": "Cofán", "native_name": "A’ingae", "max_chars": 182, "script": "latin"}, + "crn": {"name": "Cora, El Nayar", "native_name": "Naayeri", "max_chars": 142, "script": "latin"}, + "cok": {"name": "Cora, Santa Teresa", "native_name": "Náayari", "max_chars": 142, "script": "latin"}, + "crk-script_latin": {"name": "Cree, Plains - Latin", "native_name": "Nēhiyawēwin", "max_chars": 142, "script": "latin"}, + "crk-script_syllabics": {"name": "Cree, Plains - Syllabsics", "native_name": "ᓀᐦᐃᔭᐍᐏᐣ", "max_chars": 182, "script": "latin"}, + "crh": {"name": "Crimean Tatar", "native_name": "Къырымтатарджа", "max_chars": 142, "script": "cyrillic"}, + "hrv": {"name": "Croatian", "native_name": "hrvatski", "max_chars": 182, "script": "latin"}, + "cui": {"name": "Cuiba", "native_name": "Cuiba", "max_chars": 182, "script": "latin"}, + "ces": {"name": "Czech", "native_name": "Čeština", "max_chars": 186, "script": "latin"}, + "dsh": {"name": "Daasanach", "native_name": "Daasanach", "max_chars": 142, "script": "latin"}, + "dbq": {"name": "Daba", "native_name": "Daba", "max_chars": 182, "script": "latin"}, + "dga": {"name": "Dagaare, Southern", "native_name": "Dagaare", "max_chars": 142, "script": "latin"}, + "dgi": {"name": "Dagara, Northern", "native_name": "Dagara", "max_chars": 182, "script": "latin"}, + "dgk": {"name": "Dagba", "native_name": "Dagba", "max_chars": 182, "script": "latin"}, + "dnj-dialect_gweetaawueast": {"name": "Dan - Gweetaawueast", "native_name": "Gweetaa Wu East", "max_chars": 182, "script": "latin"}, + "dnj-dialect_blowowest": {"name": "Dan - Blowowest", "native_name": "Blowo West", "max_chars": 182, "script": "latin"}, + "daa": {"name": "Dangaléat", "native_name": "Dangaléat", "max_chars": 142, "script": "latin"}, + "dnt": {"name": "Dani, Mid Grand Valley", "native_name": "Mid Grand Valley Dani", "max_chars": 182, "script": "latin"}, + "dnw": {"name": "Dani, Western", "native_name": "Western Dani", "max_chars": 182, "script": "latin"}, + "dan": {"name": "Danish", "native_name": "Dansk", "max_chars": 192, "script": "latin"}, + "dar": {"name": "Dargwa", "native_name": "Дарган мез", "max_chars": 182, "script": "cyrillic"}, + "tcc": {"name": "Datooga", "native_name": "Datooga", "max_chars": 182, "script": "latin"}, + "dwr": {"name": "Dawro", "native_name": "Dawro", "max_chars": 142, "script": "latin"}, + "ded": {"name": "Dedua", "native_name": "Dedua", "max_chars": 182, "script": "latin"}, + "mzw": {"name": "Deg", "native_name": "Deg", "max_chars": 182, "script": "latin"}, + "ntr": {"name": "Delo", "native_name": "Delo", "max_chars": 182, "script": "latin"}, + "ddn": {"name": "Dendi", "native_name": "Dendi", "max_chars": 182, "script": "latin"}, + "des": {"name": "Desano", "native_name": "Desano", "max_chars": 182, "script": "latin"}, + "dso": {"name": "Desiya", "native_name": "Desiya", "max_chars": 182, "script": "latin"}, + "nfa": {"name": "Dhao", "native_name": "Dhao", "max_chars": 142, "script": "latin"}, + "dhi": {"name": "Dhimal", "native_name": "Dhimal", "max_chars": 142, "script": "latin"}, + "gud": {"name": "Dida, Yocoboué", "native_name": "Dida", "max_chars": 182, "script": "latin"}, + "did": {"name": "Didinga", "native_name": "Didinga", "max_chars": 182, "script": "latin"}, + "mhu": {"name": "Digaro-Mishmi", "native_name": "Digaro-Mishmi", "max_chars": 182, "script": "latin"}, + "dip": {"name": "Dinka, Northeastern", "native_name": "Dinka", "max_chars": 182, "script": "latin"}, + "dik": {"name": "Dinka, Southwestern", "native_name": "Dinka", "max_chars": 182, "script": "latin"}, + "tbz": {"name": "Ditammari", "native_name": "Ditammari", "max_chars": 142, "script": "latin"}, + "dts": {"name": "Dogon, Toro So", "native_name": "Dogon", "max_chars": 182, "script": "latin"}, + "dos": {"name": "Dogosé", "native_name": "Dogosé", "max_chars": 182, "script": "latin"}, + "dgo": {"name": "Dogri", "native_name": "डोगरी", "max_chars": 142, "script": "devanagari"}, + "mvp": {"name": "Duri", "native_name": "Duri", "max_chars": 182, "script": "latin"}, + "nld": {"name": "Dutch", "native_name": "Nederlands", "max_chars": 251, "script": "latin"}, + "jen": {"name": "Dza", "native_name": "Dza", "max_chars": 182, "script": "latin"}, + "dzo": {"name": "Dzongkha", "native_name": "རྫོང་ཁ", "max_chars": 182, "script": "tibetan"}, + "idd": {"name": "Ede Idaca", "native_name": "Ede Idaca", "max_chars": 182, "script": "latin"}, + "eka": {"name": "Ekajuk", "native_name": "Ekajuk", "max_chars": 142, "script": "latin"}, + "cto": {"name": "Embera Catío", "native_name": "Embera Catío", "max_chars": 182, "script": "latin"}, + "emp": {"name": "Emberá, Northern", "native_name": "Emberá", "max_chars": 142, "script": "latin"}, + "enx": {"name": "Enxet", "native_name": "Enxet", "max_chars": 142, "script": "latin"}, + "sja": {"name": "Epena", "native_name": "Epena", "max_chars": 182, "script": "latin"}, + "myv": {"name": "Erzya", "native_name": "Эрзянь", "max_chars": 142, "script": "cyrillic"}, + "mcq": {"name": "Ese", "native_name": "Ese", "max_chars": 182, "script": "latin"}, + "ese": {"name": "Ese Ejja", "native_name": "Ese Ejja", "max_chars": 182, "script": "latin"}, + "est": {"name": "Estonian", "native_name": "Eesti", "max_chars": 182, "script": "latin"}, + "evn": {"name": "Evenki", "native_name": "Эвенки", "max_chars": 142, "script": "cyrillic"}, + "eza": {"name": "Ezaa", "native_name": "Ezaa", "max_chars": 182, "script": "latin"}, + "ewe": {"name": "Éwé", "native_name": "Éwé", "max_chars": 182, "script": "latin"}, + "fal": {"name": "Fali, South", "native_name": "Fali", "max_chars": 182, "script": "latin"}, + "fao": {"name": "Faroese", "native_name": "Føroyskt", "max_chars": 142, "script": "latin"}, + "far": {"name": "Fataleka", "native_name": "Fataleka", "max_chars": 182, "script": "latin"}, + "fij": {"name": "Fijian", "native_name": "Na Vosa Vakaviti", "max_chars": 182, "script": "latin"}, + "fin": {"name": "Finnish", "native_name": "Suomi", "max_chars": 182, "script": "latin"}, + "fon": {"name": "Fon", "native_name": "Fon", "max_chars": 182, "script": "latin"}, + "frd": {"name": "Fordata", "native_name": "Fordata", "max_chars": 182, "script": "latin"}, + "ful": {"name": "Fulah", "native_name": "Fulfulde", "max_chars": 142, "script": "latin"}, + "flr": {"name": "Fuliiru", "native_name": "Fuliiru", "max_chars": 142, "script": "latin"}, + "gau": {"name": "Gadaba, Mudhili", "native_name": "Gadaba", "max_chars": 142, "script": "latin"}, + "gbk": {"name": "Gaddi", "native_name": "Gaddi", "max_chars": 182, "script": "latin"}, + "gag-script_cyrillic": {"name": "Gagauz - Cyrillic", "native_name": "Гагаузча", "max_chars": 142, "script": "cyrillic"}, + "gag-script_latin": {"name": "Gagauz - Latin", "native_name": "Gagauz", "max_chars": 182, "script": "latin"}, + "gbi": {"name": "Galela", "native_name": "Galela", "max_chars": 182, "script": "latin"}, + "gmv": {"name": "Gamo", "native_name": "Gamo", "max_chars": 182, "script": "latin"}, + "lug": {"name": "Ganda", "native_name": "Luganda", "max_chars": 142, "script": "latin"}, + "pwg": {"name": "Gapapaiwa", "native_name": "Gapapaiwa", "max_chars": 142, "script": "latin"}, + "gbm": {"name": "Garhwali", "native_name": "गढ़वाळी", "max_chars": 142, "script": "devanagari"}, + "cab": {"name": "Garifuna", "native_name": "Garifuna", "max_chars": 142, "script": "latin"}, + "grt": {"name": "Garo", "native_name": "Garo", "max_chars": 182, "script": "latin"}, + "krs": {"name": "Gbaya", "native_name": "Gbaya", "max_chars": 142, "script": "latin"}, + "gso": {"name": "Gbaya, Southwest", "native_name": "Gbaya", "max_chars": 142, "script": "latin"}, + "nlg": {"name": "Gela", "native_name": "Gela", "max_chars": 182, "script": "latin"}, + "gej": {"name": "Gen", "native_name": "Gen", "max_chars": 182, "script": "latin"}, + "gri": {"name": "Ghari", "native_name": "Ghari", "max_chars": 182, "script": "latin"}, + "kik": {"name": "Gikuyu", "native_name": "Gĩkũyũ", "max_chars": 142, "script": "latin"}, + "acd": {"name": "Gikyode", "native_name": "Gikyode", "max_chars": 142, "script": "latin"}, + "glk": {"name": "Gilaki", "native_name": "گیلکی", "max_chars": 142, "script": "arabic"}, + "gof-script_latin": {"name": "Gofa", "native_name": "Gofa", "max_chars": 182, "script": "latin"}, + "gog": {"name": "Gogo", "native_name": "Gogo", "max_chars": 182, "script": "latin"}, + "gkn": {"name": "Gokana", "native_name": "Gokana", "max_chars": 182, "script": "latin"}, + "wsg": {"name": "Gondi, Adilabad", "native_name": "Gondi", "max_chars": 182, "script": "latin"}, + "gjn": {"name": "Gonja", "native_name": "Gonja", "max_chars": 182, "script": "latin"}, + "gqr": {"name": "Gor", "native_name": "Gor", "max_chars": 182, "script": "latin"}, + "gor": {"name": "Gorontalo", "native_name": "Gorontalo", "max_chars": 142, "script": "latin"}, + "gux": {"name": "Gourmanchéma", "native_name": "Gourmanchéma", "max_chars": 142, "script": "latin"}, + "gbo": {"name": "Grebo, Northern", "native_name": "Grebo", "max_chars": 142, "script": "latin"}, + "ell": {"name": "Greek", "native_name": "Ελληνικά", "max_chars": 142, "script": "greek"}, + "grc": {"name": "Greek, Ancient", "native_name": "Ἑλληνική", "max_chars": 182, "script": "greek"}, + "guh": {"name": "Guahibo", "native_name": "Guahibo", "max_chars": 142, "script": "latin"}, + "gub": {"name": "Guajajára", "native_name": "Guajajára", "max_chars": 142, "script": "latin"}, + "grn": {"name": "Guarani", "native_name": "Avañe'ẽ", "max_chars": 182, "script": "latin"}, + "gyr": {"name": "Guarayu", "native_name": "Guarayu", "max_chars": 142, "script": "latin"}, + "guo": {"name": "Guayabero", "native_name": "Guayabero", "max_chars": 142, "script": "latin"}, + "gde": {"name": "Gude", "native_name": "Gude", "max_chars": 182, "script": "latin"}, + "guj": {"name": "Gujarati", "native_name": "ગુજરાતી", "max_chars": 182, "script": "gujarati"}, + "gvl": {"name": "Gulay", "native_name": "Gulay", "max_chars": 142, "script": "latin"}, + "guk": {"name": "Gumuz", "native_name": "Gumuz", "max_chars": 142, "script": "latin"}, + "rub": {"name": "Gungu", "native_name": "Gungu", "max_chars": 182, "script": "latin"}, + "dah": {"name": "Gwahatike", "native_name": "Gwahatike", "max_chars": 142, "script": "latin"}, + "gwr": {"name": "Gwere", "native_name": "Gwere", "max_chars": 142, "script": "latin"}, + "gwi": {"name": "Gwich’in", "native_name": "Gwich’in", "max_chars": 182, "script": "latin"}, + "hat": {"name": "Haitian Creole", "native_name": "Kreyòl Ayisyen", "max_chars": 182, "script": "latin"}, + "hlb": {"name": "Halbi", "native_name": "Halbi", "max_chars": 182, "script": "latin"}, + "amf": {"name": "Hamer-Banna", "native_name": "Hamer-Banna", "max_chars": 182, "script": "latin"}, + "hag": {"name": "Hanga", "native_name": "Hanga", "max_chars": 182, "script": "latin"}, + "hnn": {"name": "Hanunoo", "native_name": "Hanunoo", "max_chars": 142, "script": "latin"}, + "bgc": {"name": "Haryanvi", "native_name": "हरियाणवी", "max_chars": 142, "script": "devanagari"}, + "had": {"name": "Hatam", "native_name": "Hatam", "max_chars": 182, "script": "latin"}, + "hau": {"name": "Hausa", "native_name": "Hausa", "max_chars": 182, "script": "latin"}, + "hwc": {"name": "Hawaii Pidgin", "native_name": "Hawai‘i Creole English", "max_chars": 182, "script": "latin"}, + "hvn": {"name": "Hawu", "native_name": "Hawu", "max_chars": 182, "script": "latin"}, + "hay": {"name": "Haya", "native_name": "Haya", "max_chars": 182, "script": "latin"}, + "xed": {"name": "Hdi", "native_name": "Hdi", "max_chars": 182, "script": "latin"}, + "heb": {"name": "Hebrew", "native_name": "עברית", "max_chars": 182, "script": "hebrew"}, + "heh": {"name": "Hehe", "native_name": "Hehe", "max_chars": 182, "script": "latin"}, + "hil": {"name": "Hiligaynon", "native_name": "Ilonggo", "max_chars": 142, "script": "latin"}, + "hif": {"name": "Hindi, Fiji", "native_name": "फ़िजी हिंदी", "max_chars": 142, "script": "latin"}, + "hns": {"name": "Hindustani, Sarnami", "native_name": "सरनामी", "max_chars": 142, "script": "latin"}, + "hoc": {"name": "Ho", "native_name": "हो", "max_chars": 142, "script": "latin"}, + "hoy": {"name": "Holiya", "native_name": "Holiya", "max_chars": 182, "script": "latin"}, + "hus-dialect_westernpotosino": {"name": "Huastec - Western Potosino", "native_name": "Teenek", "max_chars": 182, "script": "latin"}, + "hus-dialect_centralveracruz": {"name": "Huastec - Central Veracruz", "native_name": "Teenek", "max_chars": 182, "script": "latin"}, + "huv": {"name": "Huave, San Mateo del Mar", "native_name": "Ombeayiüts", "max_chars": 142, "script": "latin"}, + "hui": {"name": "Huli", "native_name": "Huli", "max_chars": 182, "script": "latin"}, + "hap": {"name": "Hupla", "native_name": "Hupla", "max_chars": 182, "script": "latin"}, + "iba": {"name": "Iban", "native_name": "Iban", "max_chars": 182, "script": "latin"}, + "isl": {"name": "Icelandic", "native_name": "Íslenska", "max_chars": 142, "script": "latin"}, + "dbj": {"name": "Ida’an", "native_name": "Ida’an", "max_chars": 182, "script": "latin"}, + "ifa": {"name": "Ifugao, Amganad", "native_name": "Ifugao", "max_chars": 142, "script": "latin"}, + "ifb": {"name": "Ifugao, Batad", "native_name": "Ifugao", "max_chars": 142, "script": "latin"}, + "ifu": {"name": "Ifugao, Mayoyao", "native_name": "Ifugao", "max_chars": 142, "script": "latin"}, + "ifk": {"name": "Ifugao, Tuwali", "native_name": "Ifugao", "max_chars": 142, "script": "latin"}, + "ife": {"name": "Ifè", "native_name": "Ifè", "max_chars": 182, "script": "latin"}, + "ign": {"name": "Ignaciano", "native_name": "Ignaciano", "max_chars": 142, "script": "latin"}, + "ikk": {"name": "Ika", "native_name": "Ika", "max_chars": 182, "script": "latin"}, + "iqw": {"name": "Ikwo", "native_name": "Ikwo", "max_chars": 182, "script": "latin"}, + "ilb": {"name": "Ila", "native_name": "Ila", "max_chars": 182, "script": "latin"}, + "ilo": {"name": "Ilocano", "native_name": "Ilocano", "max_chars": 142, "script": "latin"}, + "imo": {"name": "Imbongu", "native_name": "Imbongu", "max_chars": 142, "script": "latin"}, + "inb": {"name": "Inga", "native_name": "Inga", "max_chars": 182, "script": "latin"}, + "ipi": {"name": "Ipili", "native_name": "Ipili", "max_chars": 182, "script": "latin"}, + "irk": {"name": "Iraqw", "native_name": "Iraqw", "max_chars": 182, "script": "latin"}, + "gle": {"name": "Irish", "native_name": "Gaeilge", "max_chars": 182, "script": "latin"}, + "icr": {"name": "Islander English Creole", "native_name": "Islander Creole", "max_chars": 182, "script": "latin"}, + "itv": {"name": "Itawit", "native_name": "Itawit", "max_chars": 142, "script": "latin"}, + "itl": {"name": "Itelmen", "native_name": "Itelmen", "max_chars": 142, "script": "latin"}, + "atg": {"name": "Ivbie North-Okpela-Arhe", "native_name": "Ivbie North-Okpela-Arhe", "max_chars": 182, "script": "latin"}, + "ixl-dialect_sanjuancotzal": {"name": "Ixil - San Juan Cotzal", "native_name": "Ixil", "max_chars": 142, "script": "latin"}, + "ixl-dialect_sangasparchajul": {"name": "Ixil - San Gaspar Chajul", "native_name": "Ixil", "max_chars": 142, "script": "latin"}, + "ixl-dialect_santamarianebaj": {"name": "Ixil - Santa Maria Nebaj", "native_name": "Ixil", "max_chars": 142, "script": "latin"}, + "nca": {"name": "Iyo", "native_name": "Iyo", "max_chars": 182, "script": "latin"}, + "izr": {"name": "Izere", "native_name": "Izere", "max_chars": 182, "script": "latin"}, + "izz": {"name": "Izii", "native_name": "Izii", "max_chars": 182, "script": "latin"}, + "jac": {"name": "Jakalteko", "native_name": "Jakalteko", "max_chars": 142, "script": "latin"}, + "jam": {"name": "Jamaican English Creole", "native_name": "Patois", "max_chars": 182, "script": "latin"}, + "jvn": {"name": "Javanese, Suriname", "native_name": "Basa Jawa Suriname", "max_chars": 182, "script": "latin"}, + "kac": {"name": "Jingpho", "native_name": "Jingpho", "max_chars": 142, "script": "latin"}, + "dyo": {"name": "Jola-Fonyi", "native_name": "Joola Foñi", "max_chars": 142, "script": "latin"}, + "csk": {"name": "Jola-Kasa", "native_name": "Joola Kasa", "max_chars": 182, "script": "latin"}, + "adh": {"name": "Jopadhola", "native_name": "Jopadhola", "max_chars": 142, "script": "latin"}, + "jun": {"name": "Juang", "native_name": "Juang", "max_chars": 182, "script": "latin"}, + "jbu": {"name": "Jukun Takum", "native_name": "Jukun Takum", "max_chars": 182, "script": "latin"}, + "dyu": {"name": "Jula", "native_name": "Julakan", "max_chars": 182, "script": "latin"}, + "bex": {"name": "Jur Modo", "native_name": "Jur Modo", "max_chars": 182, "script": "latin"}, + "juy": {"name": "Juray", "native_name": "Juray", "max_chars": 182, "script": "latin"}, + "gna": {"name": "Kaansa", "native_name": "Kaansa", "max_chars": 182, "script": "latin"}, + "urb": {"name": "Kaapor", "native_name": "Kaapor", "max_chars": 182, "script": "latin"}, + "kab": {"name": "Kabyle", "native_name": "Taqbaylit", "max_chars": 142, "script": "latin"}, + "kbp": {"name": "Kabiyè", "native_name": "Kabiyè", "max_chars": 142, "script": "latin"}, + "cwa": {"name": "Kabwa", "native_name": "Kabwa", "max_chars": 142, "script": "latin"}, + "dtp": {"name": "Kadazan Dusun", "native_name": "Kadazan Dusun", "max_chars": 182, "script": "latin"}, + "kbr": {"name": "Kafa", "native_name": "Kafa", "max_chars": 182, "script": "latin"}, + "cgc": {"name": "Kagayanen", "native_name": "Kagayanen", "max_chars": 142, "script": "latin"}, + "kki": {"name": "Kagulu", "native_name": "Kagulu", "max_chars": 142, "script": "latin"}, + "kzf": {"name": "Kaili, Da’a", "native_name": "Kaili Da’a", "max_chars": 182, "script": "latin"}, + "lew": {"name": "Kaili, Ledo", "native_name": "Kaili Ledo", "max_chars": 182, "script": "latin"}, + "cbr": {"name": "Kakataibo-Kashibo", "native_name": "Kakataibo-Kashibo", "max_chars": 142, "script": "latin"}, + "kkj": {"name": "Kako", "native_name": "Kako", "max_chars": 182, "script": "latin"}, + "keo": {"name": "Kakwa", "native_name": "Kakwa", "max_chars": 182, "script": "latin"}, + "kqe": {"name": "Kalagan", "native_name": "Kalagan", "max_chars": 182, "script": "latin"}, + "kak": {"name": "Kalanguya", "native_name": "Kalanguya", "max_chars": 142, "script": "latin"}, + "kyb": {"name": "Kalinga, Butbut", "native_name": "Kalinga Butbut", "max_chars": 182, "script": "latin"}, + "knb": {"name": "Kalinga, Lubuagan", "native_name": "Kalinga Lubuagan", "max_chars": 142, "script": "latin"}, + "kmd": {"name": "Kalinga, Majukayang", "native_name": "Kalinga Majukayang", "max_chars": 142, "script": "latin"}, + "kml": {"name": "Kalinga, Tanudan", "native_name": "Kalinga Tanudan", "max_chars": 182, "script": "latin"}, + "ify": {"name": "Kallahan, Keley-i", "native_name": "Kallahan Keley-i", "max_chars": 182, "script": "latin"}, + "xal": {"name": "Kalmyk-Oirat", "native_name": "Хальмг", "max_chars": 142, "script": "cyrillic"}, + "kbq": {"name": "Kamano", "native_name": "Kamano", "max_chars": 182, "script": "latin"}, + "kay": {"name": "Kamayurá", "native_name": "Kamayurá", "max_chars": 142, "script": "latin"}, + "ktb": {"name": "Kambaata", "native_name": "Kambaata", "max_chars": 142, "script": "latin"}, + "hig": {"name": "Kamwe", "native_name": "Kamwe", "max_chars": 142, "script": "latin"}, + "gam": {"name": "Kandawo", "native_name": "Kandawo", "max_chars": 142, "script": "latin"}, + "cbu": {"name": "Kandozi-Chapra", "native_name": "Kandozi-Chapra", "max_chars": 182, "script": "latin"}, + "xnr": {"name": "Kangri", "native_name": "Kangri", "max_chars": 182, "script": "latin"}, + "kmu": {"name": "Kanite", "native_name": "Kanite", "max_chars": 182, "script": "latin"}, + "kne": {"name": "Kankanaey", "native_name": "Kankanaey", "max_chars": 142, "script": "latin"}, + "kan": {"name": "Kannada", "native_name": "ಕನ್ನಡ", "max_chars": 182, "script": "kannada"}, + "kby": {"name": "Kanuri, Manga", "native_name": "Kanuri", "max_chars": 182, "script": "latin"}, + "pam": {"name": "Kapampangan", "native_name": "Kapampangan", "max_chars": 142, "script": "latin"}, + "cak-dialect_santamaríadejesús": {"name": "Kaqchikel - Santa María de Jesús", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "cak-dialect_southcentral": {"name": "Kaqchikel - dialect South Central", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "cak-dialect_yepocapa": {"name": "Kaqchikel - dialect Yepocapa", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "cak-dialect_western": {"name": "Kaqchikel - dialect Western", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "cak-dialect_santodomingoxenacoj": {"name": "Kaqchikel - dialect Santo Domingo Xenacoj", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "cak-dialect_central": {"name": "Kaqchikel - Dialect Central", "native_name": "Kaqchikel", "max_chars": 142, "script": "latin"}, + "xrb": {"name": "Karaboro, Eastern", "native_name": "Karaboro", "max_chars": 182, "script": "latin"}, + "krc": {"name": "Karachay-Balkar", "native_name": "Къарачай-Малкъар", "max_chars": 142, "script": "cyrillic"}, + "kaa": {"name": "Karakalpak", "native_name": "Qaraqalpaq", "max_chars": 142, "script": "latin"}, + "krl": {"name": "Karelian", "native_name": "Karjala", "max_chars": 182, "script": "latin"}, + "pww": {"name": "Karen, Pwo Northern", "native_name": "Pwo Karen", "max_chars": 182, "script": "latin"}, + "xsm": {"name": "Kasem", "native_name": "Kasem", "max_chars": 182, "script": "latin"}, + "cbs": {"name": "Kashinawa", "native_name": "Kashinawa", "max_chars": 142, "script": "latin"}, + "pss": {"name": "Kaulong", "native_name": "Kaulong", "max_chars": 142, "script": "latin"}, + "kxf": {"name": "Kawyaw", "native_name": "Kawyaw", "max_chars": 142, "script": "latin"}, + "kyz": {"name": "Kayabí", "native_name": "Kayabí", "max_chars": 182, "script": "latin"}, + "kyu": {"name": "Kayah, Western", "native_name": "Kayah", "max_chars": 182, "script": "latin"}, + "txu": {"name": "Kayapó", "native_name": "Kayapó", "max_chars": 142, "script": "latin"}, + "kaz": {"name": "Kazakh", "native_name": "Қазақ тілі", "max_chars": 182, "script": "cyrillic"}, + "ndp": {"name": "Kebu", "native_name": "Kebu", "max_chars": 182, "script": "latin"}, + "kbo": {"name": "Keliko", "native_name": "Keliko", "max_chars": 182, "script": "latin"}, + "kyq": {"name": "Kenga", "native_name": "Kenga", "max_chars": 182, "script": "latin"}, + "ken": {"name": "Kenyang", "native_name": "Kenyang", "max_chars": 182, "script": "latin"}, + "ker": {"name": "Kera", "native_name": "Kera", "max_chars": 182, "script": "latin"}, + "xte": {"name": "Ketengban", "native_name": "Ketengban", "max_chars": 142, "script": "latin"}, + "kyg": {"name": "Keyagana", "native_name": "Keyagana", "max_chars": 142, "script": "latin"}, + "kjh": {"name": "Khakas", "native_name": "Хакас тілі", "max_chars": 182, "script": "cyrillic"}, + "kca": {"name": "Khanty", "native_name": "Ханты", "max_chars": 142, "script": "cyrillic"}, + "khm": {"name": "Khmer", "native_name": "ភាសាខ្មែរ", "max_chars": 142, "script": "khmer"}, + "kxm": {"name": "Khmer, Northern", "native_name": "ភាសាខ្មែរ, ភាគខាងជើង", "max_chars": 142, "script": "khmer"}, + "kjg": {"name": "Khmu", "native_name": "ຂະມູ", "max_chars": 142, "script": "latin"}, + "nyf": {"name": "Kigiryama", "native_name": "Kigiryama", "max_chars": 142, "script": "latin"}, + "kij": {"name": "Kilivila", "native_name": "Kilivila", "max_chars": 142, "script": "latin"}, + "kia": {"name": "Kim", "native_name": "Kim", "max_chars": 182, "script": "latin"}, + "kqr": {"name": "Kimaragang", "native_name": "Kimaragang", "max_chars": 142, "script": "latin"}, + "kqp": {"name": "Kimré", "native_name": "Kimré", "max_chars": 182, "script": "latin"}, + "krj": {"name": "Kinaray-a", "native_name": "Kinaray-a", "max_chars": 182, "script": "latin"}, + "zga": {"name": "Kinga", "native_name": "Kinga", "max_chars": 182, "script": "latin"}, + "kin": {"name": "Kinyarwanda", "native_name": "Ikinyarwanda", "max_chars": 142, "script": "latin"}, + "pkb": {"name": "Kipfokomo", "native_name": "Kipfokomo", "max_chars": 142, "script": "latin"}, + "geb": {"name": "Kire", "native_name": "Kire", "max_chars": 182, "script": "latin"}, + "gil": {"name": "Kiribati", "native_name": "Taetae ni Kiribati", "max_chars": 182, "script": "latin"}, + "kje": {"name": "Kisar", "native_name": "Kisar", "max_chars": 182, "script": "latin"}, + "kss": {"name": "Kisi, Southern", "native_name": "Kisi", "max_chars": 182, "script": "latin"}, + "thk": {"name": "Kitharaka", "native_name": "Kitharaka", "max_chars": 142, "script": "latin"}, + "klu": {"name": "Klao", "native_name": "Klao", "max_chars": 182, "script": "latin"}, + "kyo": {"name": "Klon", "native_name": "Klon", "max_chars": 182, "script": "latin"}, + "kog": {"name": "Kogi", "native_name": "Kogi", "max_chars": 182, "script": "latin"}, + "kfb": {"name": "Kolami, Northwestern", "native_name": "Kolami", "max_chars": 182, "script": "latin"}, + "kpv": {"name": "Komi-Zyrian", "native_name": "Коми", "max_chars": 182, "script": "cyrillic"}, + "bbo": {"name": "Konabéré", "native_name": "Konabéré", "max_chars": 142, "script": "latin"}, + "xon": {"name": "Konkomba", "native_name": "Konkomba", "max_chars": 142, "script": "latin"}, + "kma": {"name": "Konni", "native_name": "Konni", "max_chars": 182, "script": "latin"}, + "kno": {"name": "Kono", "native_name": "Kono", "max_chars": 182, "script": "latin"}, + "kxc": {"name": "Konso", "native_name": "Konso", "max_chars": 142, "script": "latin"}, + "ozm": {"name": "Koonzime", "native_name": "Koonzime", "max_chars": 142, "script": "latin"}, + "kqy": {"name": "Koorete", "native_name": "Koorete", "max_chars": 142, "script": "latin"}, + "coe": {"name": "Koreguaje", "native_name": "Koreguaje", "max_chars": 142, "script": "latin"}, + "kpq": {"name": "Korupun-Sela", "native_name": "Korupun-Sela", "max_chars": 182, "script": "latin"}, + "kpy": {"name": "Koryak", "native_name": "Курил", "max_chars": 142, "script": "cyrillic"}, + "kyf": {"name": "Kouya", "native_name": "Kouya", "max_chars": 182, "script": "latin"}, + "kff-script_telugu": {"name": "Koya", "native_name": "కోయా", "max_chars": 142, "script": "latin"}, + "kri": {"name": "Krio", "native_name": "Krio", "max_chars": 182, "script": "latin"}, + "rop": {"name": "Kriol", "native_name": "Kriol", "max_chars": 182, "script": "latin"}, + "ktj": {"name": "Krumen, Plapo", "native_name": "Krumen, Plapo", "max_chars": 182, "script": "latin"}, + "ted": {"name": "Krumen, Tepo", "native_name": "Krumen, Tepo", "max_chars": 182, "script": "latin"}, + "krr": {"name": "Krung", "native_name": "Krung", "max_chars": 182, "script": "latin"}, + "kdt": {"name": "Kuay", "native_name": "Kuay", "max_chars": 182, "script": "latin"}, + "kez": {"name": "Kukele", "native_name": "Kukele", "max_chars": 142, "script": "latin"}, + "cul": {"name": "Kulina", "native_name": "Kulina", "max_chars": 182, "script": "latin"}, + "kle": {"name": "Kulung", "native_name": "Kulung", "max_chars": 182, "script": "latin"}, + "kdi": {"name": "Kumam", "native_name": "Kumam", "max_chars": 142, "script": "latin"}, + "kue": {"name": "Kuman", "native_name": "Kuman", "max_chars": 182, "script": "latin"}, + "kum": {"name": "Kumyk", "native_name": "Къумукъ", "max_chars": 142, "script": "cyrillic"}, + "kvn": {"name": "Kuna, Border", "native_name": "Kuna, Border", "max_chars": 182, "script": "latin"}, + "cuk": {"name": "Kuna, San Blas", "native_name": "Kuna, San Blas", "max_chars": 182, "script": "latin"}, + "kdn": {"name": "Kunda", "native_name": "Kunda", "max_chars": 182, "script": "latin"}, + "xuo": {"name": "Kuo", "native_name": "Kuo", "max_chars": 182, "script": "latin"}, + "key": {"name": "Kupia", "native_name": "Kupia", "max_chars": 182, "script": "latin"}, + "kpz": {"name": "Kupsapiiny", "native_name": "Kupsapiiny", "max_chars": 142, "script": "latin"}, + "knk": {"name": "Kuranko", "native_name": "Kuranko", "max_chars": 142, "script": "latin"}, + "kmr-script_latin": {"name": "Kurdish, Northern - Latin", "native_name": "Kurmancî", "max_chars": 142, "script": "latin"}, + "kmr-script_arabic": {"name": "Kurdish, Northern - Arabic", "native_name": "كورمانجي", "max_chars": 142, "script": "arabic"}, + "kmr-script_cyrillic": {"name": "Kurdish, Northern - Cyrillic", "native_name": "Курманджи", "max_chars": 142, "script": "cyrillic"}, + "xua": {"name": "Kurumba, Alu", "native_name": "Kurumba", "max_chars": 182, "script": "latin"}, + "kru": {"name": "Kurux", "native_name": "कुड़ुख", "max_chars": 142, "script": "latin"}, + "kus": {"name": "Kusaal", "native_name": "Kusaal", "max_chars": 182, "script": "latin"}, + "kub": {"name": "Kutep", "native_name": "Kutep", "max_chars": 142, "script": "latin"}, + "kdc": {"name": "Kutu", "native_name": "Kutu", "max_chars": 182, "script": "latin"}, + "kxv": {"name": "Kuvi", "native_name": "Kuvi", "max_chars": 182, "script": "latin"}, + "blh": {"name": "Kuwaa", "native_name": "Kuwaa", "max_chars": 142, "script": "latin"}, + "cwt": {"name": "Kuwaataay", "native_name": "Kuwaataay", "max_chars": 142, "script": "latin"}, + "kwd": {"name": "Kwaio", "native_name": "Kwaio", "max_chars": 182, "script": "latin"}, + "tnk": {"name": "Kwamera", "native_name": "Kwamera", "max_chars": 182, "script": "latin"}, + "kwf": {"name": "Kwara’ae", "native_name": "Kwara’ae", "max_chars": 182, "script": "latin"}, + "cwe": {"name": "Kwere", "native_name": "Kwere", "max_chars": 142, "script": "latin"}, + "kyc": {"name": "Kyaka", "native_name": "Kyaka", "max_chars": 182, "script": "latin"}, + "tye": {"name": "Kyanga", "native_name": "Kyanga", "max_chars": 182, "script": "latin"}, + "kir": {"name": "Kyrgyz", "native_name": "Кыргызча", "max_chars": 182, "script": "cyrillic"}, + "quc-dialect_north": {"name": "K’iche’ - dialect North", "native_name": "K’iche’", "max_chars": 182, "script": "latin"}, + "quc-dialect_east": {"name": "K’iche’ - dialect East", "native_name": "K’iche’", "max_chars": 182, "script": "latin"}, + "quc-dialect_central": {"name": "K’iche’ - dialect Central", "native_name": "K’iche’", "max_chars": 182, "script": "latin"}, + "lac": {"name": "Lacandon", "native_name": "Lacandon", "max_chars": 142, "script": "latin"}, + "lsi": {"name": "Lacid", "native_name": "Lacid", "max_chars": 182, "script": "latin"}, + "lbj": {"name": "Ladakhi", "native_name": "Ladakhi", "max_chars": 142, "script": "latin"}, + "lhu": {"name": "Lahu", "native_name": "Lahu", "max_chars": 182, "script": "latin"}, + "las": {"name": "Lama", "native_name": "Lama", "max_chars": 182, "script": "latin"}, + "lam": {"name": "Lamba", "native_name": "Lamba", "max_chars": 182, "script": "latin"}, + "lns": {"name": "Lamnso’", "native_name": "Lamnso’", "max_chars": 182, "script": "latin"}, + "ljp": {"name": "Lampung Api", "native_name": "Lampung Api", "max_chars": 182, "script": "latin"}, + "laj": {"name": "Lango", "native_name": "Lango", "max_chars": 182, "script": "latin"}, + "lao": {"name": "Lao", "native_name": "ລາວ", "max_chars": 182, "script": "latin"}, + "lat": {"name": "Latin", "native_name": "Latina", "max_chars": 182, "script": "latin"}, + "lav": {"name": "Latvian", "native_name": "Latviešu", "max_chars": 142, "script": "latin"}, + "law": {"name": "Lauje", "native_name": "Lauje", "max_chars": 182, "script": "latin"}, + "lcp": {"name": "Lawa, Western", "native_name": "Lawa", "max_chars": 182, "script": "latin"}, + "lzz": {"name": "Laz", "native_name": "ლაზური", "max_chars": 142, "script": "latin"}, + "lln": {"name": "Lele", "native_name": "Lele", "max_chars": 182, "script": "latin"}, + "lef": {"name": "Lelemi", "native_name": "Lelemi", "max_chars": 142, "script": "latin"}, + "acf": {"name": "Lesser Antillean French Creole", "native_name": "Kwéyòl", "max_chars": 142, "script": "latin"}, + "lww": {"name": "Lewo", "native_name": "Lewo", "max_chars": 182, "script": "latin"}, + "mhx": {"name": "Lhao Vo", "native_name": "Lhao Vo", "max_chars": 182, "script": "latin"}, + "eip": {"name": "Lik", "native_name": "Lik", "max_chars": 182, "script": "latin"}, + "lia": {"name": "Limba, West-Central", "native_name": "Limba", "max_chars": 182, "script": "latin"}, + "lif": {"name": "Limbu", "native_name": "ᤕᤠᤰᤌᤢᤱ", "max_chars": 142, "script": "latin"}, + "lin": {"name": "Lingala", "native_name": "Lingála", "max_chars": 182, "script": "latin"}, + "onb": {"name": "Lingao", "native_name": "Lingao", "max_chars": 182, "script": "latin"}, + "lis": {"name": "Lisu", "native_name": "ꓡꓲꓢꓳ", "max_chars": 182, "script": "latin"}, + "lit": {"name": "Lithuanian", "native_name": "Lietuvių", "max_chars": 182, "script": "latin"}, + "loq": {"name": "Lobala", "native_name": "Lobala", "max_chars": 182, "script": "latin"}, + "lob": {"name": "Lobi", "native_name": "Lobi", "max_chars": 182, "script": "latin"}, + "yaz": {"name": "Lokaa", "native_name": "Lokaa", "max_chars": 182, "script": "latin"}, + "lok": {"name": "Loko", "native_name": "Loko", "max_chars": 182, "script": "latin"}, + "llg": {"name": "Lole", "native_name": "Lole", "max_chars": 182, "script": "latin"}, + "ycl": {"name": "Lolopo", "native_name": "Lolopo", "max_chars": 142, "script": "latin"}, + "lom": {"name": "Loma", "native_name": "Loma", "max_chars": 182, "script": "latin"}, + "ngl": {"name": "Lomwe", "native_name": "Lomwe", "max_chars": 142, "script": "latin"}, + "lon": {"name": "Lomwe, Malawi", "native_name": "Lomwe", "max_chars": 142, "script": "latin"}, + "lex": {"name": "Luang", "native_name": "Luang", "max_chars": 182, "script": "latin"}, + "lgg": {"name": "Lugbara", "native_name": "Lugbara", "max_chars": 142, "script": "latin"}, + "ruf": {"name": "Luguru", "native_name": "Luguru", "max_chars": 142, "script": "latin"}, + "dop": {"name": "Lukpa", "native_name": "Lukpa", "max_chars": 142, "script": "latin"}, + "lnd": {"name": "Lundayeh", "native_name": "Lundayeh", "max_chars": 142, "script": "latin"}, + "ndy": {"name": "Lutos", "native_name": "Lutos", "max_chars": 182, "script": "latin"}, + "lwo": {"name": "Luwo", "native_name": "Luwo", "max_chars": 182, "script": "latin"}, + "lee": {"name": "Lyélé", "native_name": "Lyélé", "max_chars": 142, "script": "latin"}, + "mev": {"name": "Maan", "native_name": "Maan", "max_chars": 182, "script": "latin"}, + "mfz": {"name": "Mabaan", "native_name": "Mabaan", "max_chars": 182, "script": "latin"}, + "jmc": {"name": "Machame", "native_name": "Machame", "max_chars": 182, "script": "latin"}, + "myy": {"name": "Macuna", "native_name": "Macuna", "max_chars": 182, "script": "latin"}, + "mbc": {"name": "Macushi", "native_name": "Macushi", "max_chars": 142, "script": "latin"}, + "mda": {"name": "Mada", "native_name": "Mada", "max_chars": 182, "script": "latin"}, + "mad": {"name": "Madura", "native_name": "Madura", "max_chars": 182, "script": "latin"}, + "mag": {"name": "Magahi", "native_name": "Magahi", "max_chars": 182, "script": "latin"}, + "ayz": {"name": "Mai Brat", "native_name": "Mai Brat", "max_chars": 182, "script": "latin"}, + "mai": {"name": "Maithili", "native_name": "मैथिली", "max_chars": 142, "script": "latin"}, + "mca": {"name": "Maka", "native_name": "Maka", "max_chars": 182, "script": "latin"}, + "mcp": {"name": "Makaa", "native_name": "Makaa", "max_chars": 182, "script": "latin"}, + "mak": {"name": "Makasar", "native_name": "Makasar", "max_chars": 182, "script": "latin"}, + "vmw": {"name": "Makhuwa", "native_name": "Makhuwa", "max_chars": 142, "script": "latin"}, + "mgh": {"name": "Makhuwa-Meetto", "native_name": "Makhuwa-Meetto", "max_chars": 182, "script": "latin"}, + "kde": {"name": "Makonde", "native_name": "Makonde", "max_chars": 142, "script": "latin"}, + "mlg": {"name": "Malagasy", "native_name": "Malagasy", "max_chars": 182, "script": "latin"}, + "zlm": {"name": "Malay", "native_name": "Bahasa Melayu", "max_chars": 182, "script": "latin"}, + "pse": {"name": "Malay, Central", "native_name": "Bahasa Melayu Tengah", "max_chars": 182, "script": "latin"}, + "mkn": {"name": "Malay, Kupang", "native_name": "Bahasa Melayu Kupang", "max_chars": 182, "script": "latin"}, + "xmm": {"name": "Malay, Manado", "native_name": "Bahasa Melayu Manado", "max_chars": 182, "script": "latin"}, + "mal": {"name": "Malayalam", "native_name": "മലയാളം", "max_chars": 142, "script": "latin"}, + "xdy": {"name": "Malayic Dayak", "native_name": "Dayak Melayu", "max_chars": 182, "script": "latin"}, + "div": {"name": "Maldivian", "native_name": "ދިވެހި", "max_chars": 142, "script": "latin"}, + "mdy": {"name": "Male", "native_name": "Male", "max_chars": 182, "script": "latin"}, + "mlt": {"name": "Maltese", "native_name": "Malti", "max_chars": 182, "script": "latin"}, + "mup": {"name": "Malvi", "native_name": "Malvi", "max_chars": 182, "script": "latin"}, + "mam-dialect_central": {"name": "Mam - dialect Central", "native_name": "Mam", "max_chars": 182, "script": "latin"}, + "mam-dialect_northern": {"name": "Mam - dialect Northern", "native_name": "Mam", "max_chars": 182, "script": "latin"}, + "mam-dialect_southern": {"name": "Mam - dialect Southern", "native_name": "Mam", "max_chars": 182, "script": "latin"}, + "mam-dialect_western": {"name": "Mam - dialect Western", "native_name": "Mam", "max_chars": 182, "script": "latin"}, + "mqj": {"name": "Mamasa", "native_name": "Mamasa", "max_chars": 182, "script": "latin"}, + "mcu": {"name": "Mambila, Cameroon", "native_name": "Mambila", "max_chars": 142, "script": "latin"}, + "mzk": {"name": "Mambila, Nigeria", "native_name": "Mambila", "max_chars": 142, "script": "latin"}, + "maw": {"name": "Mampruli", "native_name": "Mampruli", "max_chars": 142, "script": "latin"}, + "mjl": {"name": "Mandeali", "native_name": "Mandeali", "max_chars": 142, "script": "latin"}, + "mnk": {"name": "Mandinka", "native_name": "Mandinka", "max_chars": 142, "script": "latin"}, + "mge": {"name": "Mango", "native_name": "Mango", "max_chars": 182, "script": "latin"}, + "mbh": {"name": "Mangseng", "native_name": "Mangseng", "max_chars": 142, "script": "latin"}, + "knf": {"name": "Mankanya", "native_name": "Mankanya", "max_chars": 142, "script": "latin"}, + "mjv": {"name": "Mannan", "native_name": "Mannan", "max_chars": 182, "script": "latin"}, + "mbt": {"name": "Manobo, Matigsalug", "native_name": "Manobo", "max_chars": 142, "script": "latin"}, + "obo": {"name": "Manobo, Obo", "native_name": "Manobo", "max_chars": 142, "script": "latin"}, + "mbb": {"name": "Manobo, Western Bukidnon", "native_name": "Manobo", "max_chars": 142, "script": "latin"}, + "mzj": {"name": "Manya", "native_name": "Manya", "max_chars": 182, "script": "latin"}, + "sjm": {"name": "Mapun", "native_name": "Mapun", "max_chars": 182, "script": "latin"}, + "mrw": {"name": "Maranao", "native_name": "Maranao", "max_chars": 142, "script": "latin"}, + "mar": {"name": "Marathi", "native_name": "मराठी", "max_chars": 182, "script": "devanagari"}, + "mpg": {"name": "Marba", "native_name": "Marba", "max_chars": 182, "script": "latin"}, + "mhr": {"name": "Mari, Meadow", "native_name": "Марий", "max_chars": 182, "script": "cyrillic"}, + "enb": {"name": "Markweeta", "native_name": "Markweeta", "max_chars": 142, "script": "latin"}, + "mah": {"name": "Marshallese", "native_name": "Kajin M̧ajeļ", "max_chars": 142, "script": "latin"}, + "myx": {"name": "Masaaba", "native_name": "Masaaba", "max_chars": 182, "script": "latin"}, + "klv": {"name": "Maskelynes", "native_name": "Maskelynes", "max_chars": 142, "script": "latin"}, + "mfh": {"name": "Matal", "native_name": "Matal", "max_chars": 182, "script": "latin"}, + "met": {"name": "Mato", "native_name": "Mato", "max_chars": 182, "script": "latin"}, + "mcb": {"name": "Matsigenka", "native_name": "Matsigenka", "max_chars": 142, "script": "latin"}, + "mop": {"name": "Maya, Mopán", "native_name": "Mopán", "max_chars": 182, "script": "latin"}, + "yua": {"name": "Maya, Yucatec", "native_name": "Yucateco", "max_chars": 142, "script": "latin"}, + "mfy": {"name": "Mayo", "native_name": "Mayo", "max_chars": 182, "script": "latin"}, + "maz": {"name": "Mazahua, Central", "native_name": "Mazahua", "max_chars": 142, "script": "latin"}, + "vmy": {"name": "Mazatec, Ayautla", "native_name": "Ayautla", "max_chars": 142, "script": "latin"}, + "maq": {"name": "Mazatec, Chiquihuitlán", "native_name": "Chiquihuitlán", "max_chars": 142, "script": "latin"}, + "mzi": {"name": "Mazatec, Ixcatlán", "native_name": 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"script": "latin"}, + "mox": {"name": "Molima", "native_name": "Molima", "max_chars": 182, "script": "latin"}, + "myl": {"name": "Moma", "native_name": "Moma", "max_chars": 182, "script": "latin"}, + "mqf": {"name": "Momuna", "native_name": "Momuna", "max_chars": 142, "script": "latin"}, + "mnw": {"name": "Mon", "native_name": "မွန်", "max_chars": 142, "script": "latin"}, + "mon": {"name": "Mongolian", "native_name": "Монгол", "max_chars": 182, "script": "cyrillic"}, + "mog": {"name": "Mongondow", "native_name": "Mongondow", "max_chars": 142, "script": "latin"}, + "mfe": {"name": "Morisyen", "native_name": "Morisyen", "max_chars": 182, "script": "latin"}, + "mor": {"name": "Moro", "native_name": "Moro", "max_chars": 182, "script": "latin"}, + "mqn": {"name": "Moronene", "native_name": "Moronene", "max_chars": 182, "script": "latin"}, + "mgd": {"name": "Moru", "native_name": "Moru", "max_chars": 182, "script": "latin"}, + "mtj": {"name": "Moskona", "native_name": "Moskona", "max_chars": 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"script": "latin"}, + "bud": {"name": "Ntcham", "native_name": "Ntcham", "max_chars": 142, "script": "latin"}, + "nus": {"name": "Nuer", "native_name": "Nuer", "max_chars": 182, "script": "latin"}, + "yas": {"name": "Nugunu", "native_name": "Nugunu", "max_chars": 142, "script": "latin"}, + "nnw": {"name": "Nuni, Southern", "native_name": "Nuni, Southern", "max_chars": 182, "script": "latin"}, + "nwb": {"name": "Nyabwa", "native_name": "Nyabwa", "max_chars": 142, "script": "latin"}, + "nyy": {"name": "Nyakyusa-Ngonde", "native_name": "Nyakyusa-Ngonde", "max_chars": 182, "script": "latin"}, + "nyn": {"name": "Nyankore", "native_name": "Nyankore", "max_chars": 142, "script": "latin"}, + "rim": {"name": "Nyaturu", "native_name": "Nyaturu", "max_chars": 142, "script": "latin"}, + "lid": {"name": "Nyindrou", "native_name": "Nyindrou", "max_chars": 142, "script": "latin"}, + "nuj": {"name": "Nyole", "native_name": "Nyole", "max_chars": 182, "script": "latin"}, + "nyo": {"name": "Nyoro", 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+ "tgp": {"name": "Tangoa", "native_name": "Tangoa", "max_chars": 182, "script": "latin"}, + "tnn": {"name": "Tanna, North", "native_name": "Tanna", "max_chars": 182, "script": "latin"}, + "tac": {"name": "Tarahumara, Western", "native_name": "Tarahumara", "max_chars": 142, "script": "latin"}, + "rif-script_latin": {"name": "Tarifit - Latin", "native_name": "Tarifit", "max_chars": 142, "script": "latin"}, + "rif-script_arabic": {"name": "Tarifit - Arabic", "native_name": "ⵜⴰⵔⵉⴼⵉⵜ", "max_chars": 182, "script": "latin"}, + "tat": {"name": "Tatar", "native_name": "татар теле", "max_chars": 182, "script": "cyrillic"}, + "tav": {"name": "Tatuyo", "native_name": "Tatuyo", "max_chars": 142, "script": "latin"}, + "twb": {"name": "Tawbuid", "native_name": "Tawbuid", "max_chars": 142, "script": "latin"}, + "tbl": {"name": "Tboli", "native_name": "Tboli", "max_chars": 142, "script": "latin"}, + "kps": {"name": "Tehit", "native_name": "Tehit", "max_chars": 182, "script": "latin"}, + "twe": {"name": "Teiwa", "native_name": "Teiwa", "max_chars": 182, "script": "latin"}, + "ttc": {"name": "Tektiteko", "native_name": "Tektiteko", "max_chars": 142, "script": "latin"}, + "kdh": {"name": "Tem", "native_name": "Tem", "max_chars": 182, "script": "latin"}, + "tes": {"name": "Tengger", "native_name": "Tengger", "max_chars": 182, "script": "latin"}, + "tex": {"name": "Tennet", "native_name": "Tennet", "max_chars": 182, "script": "latin"}, + "tee": {"name": "Tepehua, Huehuetla", "native_name": "Tepehua", "max_chars": 142, "script": "latin"}, + "tpp": {"name": "Tepehua, Pisaflores", "native_name": "Tepehua Pisaflores", "max_chars": 142, "script": "latin"}, + "tpt": {"name": "Tepehua, Tlachichilco", "native_name": "Tepehua Tlachichilco", "max_chars": 142, "script": "latin"}, + "stp": {"name": "Tepehuan, Southeastern", "native_name": "Tepehuan Southeastern", "max_chars": 142, "script": "latin"}, + "tfr": {"name": "Teribe", "native_name": "Teribe", "max_chars": 182, "script": "latin"}, + "twu": {"name": "Termanu", "native_name": "Termanu", "max_chars": 182, "script": "latin"}, + "ter": {"name": "Terêna", "native_name": "Terêna", "max_chars": 142, "script": "latin"}, + "tew": {"name": "Tewa", "native_name": "Tewa", "max_chars": 182, "script": "latin"}, + "tha": {"name": "Thai", "native_name": "ไทย", "max_chars": 142, "script": "latin"}, + "nod": {"name": "Thai, Northern", "native_name": "คำเมือง", "max_chars": 142, "script": "latin"}, + "thl": {"name": "Tharu, Dangaura", "native_name": "थारू", "max_chars": 142, "script": "latin"}, + "tem": {"name": "Themne", "native_name": "Themne", "max_chars": 182, "script": "latin"}, + "adx": {"name": "Tibetan, Amdo", "native_name": "ཨ་མདོ", "max_chars": 182, "script": "latin"}, + "bod": {"name": "Tibetan, Central", "native_name": "བོད", "max_chars": 142, "script": "latin"}, + "khg": {"name": "Tibetan, Khams", "native_name": "ཁམས", "max_chars": 182, "script": "latin"}, + "tca": {"name": "Ticuna", "native_name": "Ticuna", "max_chars": 142, "script": "latin"}, + "tir": {"name": "Tigrigna", "native_name": "ትግርኛ", "max_chars": 182, "script": "latin"}, + "txq": {"name": "Tii", "native_name": "Tii", "max_chars": 182, "script": "latin"}, + "tik": {"name": "Tikar", "native_name": "Tikar", "max_chars": 182, "script": "latin"}, + "dgr": {"name": "Tlicho", "native_name": "Tlicho", "max_chars": 142, "script": "latin"}, + "tob": {"name": "Toba", "native_name": "Toba", "max_chars": 182, "script": "latin"}, + "tmf": {"name": "Toba-Maskoy", "native_name": "Toba-Maskoy", "max_chars": 182, "script": "latin"}, + "tng": {"name": "Tobanga", "native_name": "Tobanga", "max_chars": 142, "script": "latin"}, + "tlb": {"name": "Tobelo", "native_name": "Tobelo", "max_chars": 142, "script": "latin"}, + "ood": {"name": "Tohono O’odham", "native_name": "Tohono O’odham", "max_chars": 182, "script": "latin"}, + "tpi": {"name": "Tok Pisin", "native_name": "Tok Pisin", "max_chars": 182, "script": "latin"}, + "jic": {"name": "Tol", "native_name": "Tol", "max_chars": 182, "script": "latin"}, + "lbw": {"name": "Tolaki", "native_name": "Tolaki", "max_chars": 182, "script": "latin"}, + "txa": {"name": "Tombonuo", "native_name": "Tombonuo", "max_chars": 142, "script": "latin"}, + "tom": {"name": "Tombulu", "native_name": "Tombulu", "max_chars": 182, "script": "latin"}, + "toh": {"name": "Tonga", "native_name": "Tonga", "max_chars": 182, "script": "latin"}, + "tnt": {"name": "Tontemboan", "native_name": "Tontemboan", "max_chars": 142, "script": "latin"}, + "sda": {"name": "Toraja-Sa’dan", "native_name": "Toraja-Sa’dan", "max_chars": 182, "script": "latin"}, + "tcs": {"name": "Torres Strait Creole", "native_name": "Torres Strait Creole", "max_chars": 182, "script": "latin"}, + "toc": {"name": "Totonac, Coyutla", "native_name": "Totonac, Coyutla", "max_chars": 182, "script": "latin"}, + "tos": {"name": "Totonac, Highland", "native_name": "Totonac, Highland", "max_chars": 182, "script": "latin"}, + "neb": {"name": "Toura", "native_name": "Toura", "max_chars": 182, "script": "latin"}, + "trn": {"name": "Trinitario", "native_name": "Trinitario", "max_chars": 142, "script": "latin"}, + "trs": {"name": "Triqui, Chicahuaxtla", "native_name": "Triqui, Chicahuaxtla", "max_chars": 142, "script": "latin"}, + "trc": {"name": "Triqui, Copala", "native_name": "Triqui, Copala", "max_chars": 182, "script": "latin"}, + "tri": {"name": "Trió", "native_name": "Trió", "max_chars": 182, "script": "latin"}, + "cof": {"name": "Tsafiki", "native_name": "Tsafiki", "max_chars": 142, "script": "latin"}, + "tkr": {"name": "Tsakhur", "native_name": "Tsakhur", "max_chars": 142, "script": "latin"}, + "kdl": {"name": "Tsikimba", "native_name": "Tsikimba", "max_chars": 142, "script": "latin"}, + "cas": {"name": "Tsimané", "native_name": "Tsimané", "max_chars": 142, "script": "latin"}, + "tso": {"name": "Tsonga", "native_name": "Tsonga", "max_chars": 142, "script": "latin"}, + "tuo": {"name": "Tucano", "native_name": "Tucano", "max_chars": 182, "script": "latin"}, + "iou": {"name": "Tuma-Irumu", "native_name": "Tuma-Irumu", "max_chars": 182, "script": "latin"}, + "tmc": {"name": "Tumak", "native_name": "Tumak", "max_chars": 182, "script": "latin"}, + "tuf": {"name": "Tunebo, Central", "native_name": "Tunebo, Central", "max_chars": 182, "script": "latin"}, + "tuk-script_latin": {"name": "Turkmen - Latin", "native_name": "Türkmençe", "max_chars": 142, "script": "latin"}, + "tuk-script_arabic": {"name": "Turkmen - Arabic", "native_name": "تركمن", "max_chars": 142, "script": "arabic"}, + "bov": {"name": "Tuwuli", "native_name": "Tuwuli", "max_chars": 142, "script": "latin"}, + "tue": {"name": "Tuyuca", "native_name": "Tuyuca", "max_chars": 182, "script": "latin"}, + "tw_akuapem": {"name": "Twi (Akuapem)", "native_name": "Twi (Akuapem)", "max_chars": 182, "script": "latin"}, + "tw_asante": {"name": "Twi (Asante)", "native_name": "Twi (Asante)", "max_chars": 182, "script": "latin"}, + "kcg": {"name": "Tyap", "native_name": "Tyap", "max_chars": 182, "script": "latin"}, + "tzh-dialect_bachajón": {"name": "Tzeltal - dialect Bachajón", "native_name": "Tzeltal", "max_chars": 142, "script": "latin"}, + "tzh-dialect_tenejapa": {"name": "Tzeltal - dialect Tenejapa", "native_name": "Tzeltal", "max_chars": 142, "script": "latin"}, + "tzo-dialect_chenalhó": {"name": "Tzotzil - dialect Chenalhó", "native_name": "Tzotzil", "max_chars": 142, "script": "latin"}, + "tzo-dialect_chamula": {"name": "Tzotzil - dialect Chamula", "native_name": "Tzotzil", "max_chars": 142, "script": "latin"}, + "tzj-dialect_western": {"name": "Tz’utujil - dialect Western", "native_name": "Tz’utujil", "max_chars": 182, "script": "latin"}, + "tzj-dialect_eastern": {"name": "Tz’utujil - dialect Eastern", "native_name": "Tz’utujil", "max_chars": 182, "script": "latin"}, + "aoz": {"name": "Uab Meto", "native_name": "Uab Meto", "max_chars": 182, "script": "latin"}, + "udm": {"name": "Udmurt", "native_name": "Udmurt", "max_chars": 142, "script": "latin"}, + "udu": {"name": "Uduk", "native_name": "Uduk", "max_chars": 182, "script": "latin"}, + "ukr": {"name": "Ukrainian", "native_name": "Українська", "max_chars": 182, "script": "cyrillic"}, + "ppk": {"name": "Uma", "native_name": "Uma", "max_chars": 182, "script": "latin"}, + "ubu": {"name": "Umbu-Ungu", "native_name": "Umbu-Ungu", "max_chars": 182, "script": "latin"}, + "urk": {"name": "Urak Lawoi’", "native_name": "Urak Lawoi’", "max_chars": 182, "script": "latin"}, + "ura": {"name": "Urarina", "native_name": "Urarina", "max_chars": 142, "script": "latin"}, + "urt": {"name": "Urat", "native_name": "Urat", "max_chars": 182, "script": "latin"}, + "urd-script_devanagari": {"name": "Urdu - Devanagari", "native_name": "उर्दू", "max_chars": 182, "script": "latin"}, + "urd-script_arabic": {"name": "Urdu - Arabic", "native_name": "اردو", "max_chars": 182, "script": "arabic"}, + "urd-script_latin": {"name": "Urdu - Latin", "native_name": "Urdu", "max_chars": 182, "script": "latin"}, + "upv": {"name": "Uripiv-Wala-Rano-Atchin", "native_name": "Uripiv-Wala-Rano-Atchin", "max_chars": 182, "script": "latin"}, + "usp": {"name": "Uspanteko", "native_name": "Uspanteko", "max_chars": 142, "script": "latin"}, + "uig-script_arabic": {"name": "Uyghur - Arabic", "native_name": "ئۇيغۇر", "max_chars": 142, "script": "arabic"}, + "uig-script_cyrillic": {"name": "Uyghur - Cyrillic", "native_name": "Уйғур", "max_chars": 142, "script": "cyrillic"}, + "uzb-script_cyrillic": {"name": "Uzbek", "native_name": "Ўзбек", "max_chars": 142, "script": "cyrillic"}, + "vag": {"name": "Vagla", "native_name": "Vagla", "max_chars": 182, "script": "latin"}, + "bav": {"name": "Vengo", "native_name": "Vengo", "max_chars": 182, "script": "latin"}, + "vid": {"name": "Vidunda", "native_name": "Vidunda", "max_chars": 182, "script": "latin"}, + "vie": {"name": "Vietnamese", "native_name": "Tiếng Việt", "max_chars": 182, "script": "latin"}, + "vif": {"name": "Vili", "native_name": "Vili", "max_chars": 182, "script": "latin"}, + "vun": {"name": "Vunjo", "native_name": "Vunjo", "max_chars": 182, "script": "latin"}, + "vut": {"name": "Vute", "native_name": "Vute", "max_chars": 182, "script": "latin"}, + "prk": {"name": "Wa, Parauk", "native_name": "Wa, Parauk", "max_chars": 182, "script": "latin"}, + "wwa": {"name": "Waama", "native_name": "Waama", "max_chars": 142, "script": "latin"}, + "rro": {"name": "Waima", "native_name": "Waima", "max_chars": 142, "script": "latin"}, + "bao": {"name": "Waimaha", "native_name": "Waimaha", "max_chars": 142, "script": "latin"}, + "waw": {"name": "Waiwai", "native_name": "Waiwai", "max_chars": 142, "script": "latin"}, + "lgl": {"name": "Wala", "native_name": "Wala", "max_chars": 182, "script": "latin"}, + "wlx": {"name": "Wali", "native_name": "Wali", "max_chars": 182, "script": "latin"}, + "cou": {"name": "Wamey", "native_name": "Wamey", "max_chars": 142, "script": "latin"}, + "hub": {"name": "Wampís", "native_name": "Wampís", "max_chars": 142, "script": "latin"}, + "gvc": {"name": "Wanano", "native_name": "Wanano", "max_chars": 182, "script": "latin"}, + "mfi": {"name": "Wandala", "native_name": "Wandala", "max_chars": 182, "script": "latin"}, + "wap": {"name": "Wapishana", "native_name": "Wapishana", "max_chars": 142, "script": "latin"}, + "wba": {"name": "Warao", "native_name": "Warao", "max_chars": 182, "script": "latin"}, + "war": {"name": "Waray-Waray", "native_name": "Waray-Waray", "max_chars": 182, "script": "latin"}, + "way": {"name": "Wayana", "native_name": "Wayana", "max_chars": 182, "script": "latin"}, + "guc": {"name": "Wayuu", "native_name": "Wayuu", "max_chars": 182, "script": "latin"}, + "cym": {"name": "Welsh", "native_name": "Cymraeg", "max_chars": 182, "script": "latin"}, + "kvw": {"name": "Wersing", "native_name": "Wersing", "max_chars": 182, "script": "latin"}, + "tnp": {"name": "Whitesands", "native_name": "Whitesands", "max_chars": 142, "script": "latin"}, + "hto": {"name": "Witoto, Minika", "native_name": "Witoto, Minika", "max_chars": 182, "script": "latin"}, + "huu": {"name": "Witoto, Murui", "native_name": "Witoto, Murui", "max_chars": 182, "script": "latin"}, + "wal-script_latin": {"name": "Wolaytta - Latin", "native_name": "Wolaytta", "max_chars": 142, "script": "latin"}, + "wal-script_ethiopic": {"name": "Wolaytta - Ethiopic", "native_name": "ወላይታ", "max_chars": 182, "script": "latin"}, + "wlo": {"name": "Wolio", "native_name": "Wolio", "max_chars": 182, "script": "latin"}, + "noa": {"name": "Woun Meu", "native_name": "Woun Meu", "max_chars": 182, "script": "latin"}, + "wob": {"name": "Wè Northern", "native_name": "Wè", "max_chars": 182, "script": "latin"}, + "kao": {"name": "Xaasongaxango", "native_name": "Xaasongaxango", "max_chars": 142, "script": "latin"}, + "xer": {"name": "Xerénte", "native_name": "Xerénte", "max_chars": 142, "script": "latin"}, + "yad": {"name": "Yagua", "native_name": "Yagua", "max_chars": 182, "script": "latin"}, + "yka": {"name": "Yakan", "native_name": "Yakan", "max_chars": 182, "script": "latin"}, + "sah": {"name": "Yakut", "native_name": "Саха", "max_chars": 182, "script": "cyrillic"}, + "yba": {"name": "Yala", "native_name": "Yala", "max_chars": 182, "script": "latin"}, + "yli": {"name": "Yali, Angguruk", "native_name": "Yali, Angguruk", "max_chars": 182, "script": "latin"}, + "nlk": {"name": "Yali, Ninia", "native_name": "Yali, Ninia", "max_chars": 182, "script": "latin"}, + "yal": {"name": "Yalunka", "native_name": "Yalunka", "max_chars": 142, "script": "latin"}, + "yam": {"name": "Yamba", "native_name": "Yamba", "max_chars": 182, "script": "latin"}, + "yat": {"name": "Yambeta", "native_name": "Yambeta", "max_chars": 142, "script": "latin"}, + "jmd": {"name": "Yamdena", "native_name": "Yamdena", "max_chars": 142, "script": "latin"}, + "tao": {"name": "Yami", "native_name": "Yami", "max_chars": 182, "script": "latin"}, + "yaa": {"name": "Yaminahua", "native_name": "Yaminahua", "max_chars": 142, "script": "latin"}, + "ame": {"name": "Yanesha’", "native_name": "Yanesha’", "max_chars": 182, "script": "latin"}, + "guu": {"name": "Yanomamö", "native_name": "Yanomamö", "max_chars": 142, "script": "latin"}, + "yao": {"name": "Yao", "native_name": "Yao", "max_chars": 182, "script": "latin"}, + "yre": {"name": "Yaouré", "native_name": "Yaouré", "max_chars": 182, "script": "latin"}, + "yva": {"name": "Yawa", "native_name": "Yawa", "max_chars": 182, "script": "latin"}, + "ybb": {"name": "Yemba", "native_name": "Yemba", "max_chars": 182, "script": "latin"}, + "pib": {"name": "Yine", "native_name": "Yine", "max_chars": 182, "script": "latin"}, + "byr": {"name": "Yipma", "native_name": "Yipma", "max_chars": 142, "script": "latin"}, + "pil": {"name": "Yom", "native_name": "Yom", "max_chars": 182, "script": "latin"}, + "ycn": {"name": "Yucuna", "native_name": "Yucuna", "max_chars": 142, "script": "latin"}, + "ess": {"name": "Yupik, Saint Lawrence Island", "native_name": "Yupigestun", "max_chars": 142, "script": "latin"}, + "yuz": {"name": "Yuracare", "native_name": "Yuracare", "max_chars": 142, "script": "latin"}, + "atb": {"name": "Zaiwa", "native_name": "Zaiwa", "max_chars": 182, "script": "latin"}, + "zne": {"name": "Zande", "native_name": "Zande", "max_chars": 182, "script": "latin"}, + "zaq": {"name": "Zapotec, Aloápam", "native_name": "Aloápam Zapotec", "max_chars": 142, "script": "latin"}, + "zpo": {"name": "Zapotec, Amatlán", "native_name": "Amatlán Zapotec", "max_chars": 142, "script": "latin"}, + "zad": {"name": "Zapotec, Cajonos", "native_name": "Cajonos Zapotec", "max_chars": 142, "script": "latin"}, + "zpc": {"name": "Zapotec, Choapan", "native_name": "Choapan Zapotec", "max_chars": 142, "script": "latin"}, + "zca": {"name": "Zapotec, Coatecas Altas", "native_name": "Coatecas Altas Zapotec", "max_chars": 142, "script": "latin"}, + "zpg": {"name": "Zapotec, Guevea de Humboldt", "native_name": "Guevea de Humboldt Zapotec", "max_chars": 142, "script": "latin"}, + "zai": {"name": "Zapotec, Isthmus", "native_name": "Isthmus Zapotec", "max_chars": 142, "script": "latin"}, + "zpl": {"name": "Zapotec, Lachixío", "native_name": "Lachixío Zapotec", "max_chars": 142, "script": "latin"}, + "zam": {"name": "Zapotec, Miahuatlán", "native_name": "Miahuatlán Zapotec", "max_chars": 142, "script": "latin"}, + "zaw": {"name": "Zapotec, Mitla", "native_name": "Mitla Zapotec", "max_chars": 142, "script": "latin"}, + "zpm": {"name": "Zapotec, Mixtepec", "native_name": "Mixtepec Zapotec", "max_chars": 142, "script": "latin"}, + "zac": {"name": "Zapotec, Ocotlán", "native_name": "Ocotlán Zapotec", "max_chars": 142, "script": "latin"}, + "zao": {"name": "Zapotec, Ozolotepec", "native_name": "Ozolotepec Zapotec", "max_chars": 142, "script": "latin"}, + "ztq": {"name": "Zapotec, Quioquitani-Quierí", "native_name": "Quioquitani-Quierí Zapotec", "max_chars": 142, "script": "latin"}, + "zar": {"name": "Zapotec, Rincón", "native_name": "Rincón Zapotec", "max_chars": 182, "script": "latin"}, + "zpt": {"name": "Zapotec, San Vicente Coatlán", "native_name": "San Vicente Coatlán Zapotec", "max_chars": 182, "script": "latin"}, + "zpi": {"name": "Zapotec, Santa María Quiegolani", "native_name": "Santa María Quiegolani Zapotec", "max_chars": 182, "script": "latin"}, + "zas": {"name": "Zapotec, Santo Domingo Albarradas", "native_name": "Santo Domingo Albarradas Zapotec", "max_chars": 182, "script": "latin"}, + "zaa": {"name": "Zapotec, Sierra de Juárez", "native_name": "Sierra de Juárez Zapotec", "max_chars": 182, "script": "latin"}, + "zpz": {"name": "Zapotec, Texmelucan", "native_name": "Texmelucan Zapotec", "max_chars": 142, "script": "latin"}, + "zab": {"name": "Zapotec, Western Tlacolula Valley", "native_name": "Western Tlacolula Valley Zapotec", "max_chars": 142, "script": "latin"}, + "zpu": {"name": "Zapotec, Yalálag", "native_name": "Yalálag Zapotec", "max_chars": 142, "script": "latin"}, + "zae": {"name": "Zapotec, Yareni", "native_name": "Yareni Zapotec", "max_chars": 142, "script": "latin"}, + "zty": {"name": "Zapotec, Yatee", "native_name": "Yatee Zapotec", "max_chars": 142, "script": "latin"}, + "zav": {"name": "Zapotec, Yatzachi", "native_name": "Yatzachi Zapotec", "max_chars": 142, "script": "latin"}, + "zza": {"name": "Zaza", "native_name": "Zazaki", "max_chars": 182, "script": "latin"}, + "zyb": {"name": "Zhuang, Yongbei", "native_name": "Yongbei Zhuang", "max_chars": 182, "script": "latin"}, + "ziw": {"name": "Zigula", "native_name": "Zigula", "max_chars": 182, "script": "latin"}, + "zos": {"name": "Zoque, Francisco León", "native_name": "Francisco León Zoque", "max_chars": 182, "script": "latin"}, + "gnd": {"name": "Zulgo-Gemzek", "native_name": "Zulgo-Gemzek", "max_chars": 182, "script": "latin"} +} \ No newline at end of file diff --git a/lib/conf_models.py b/lib/conf_models.py new file mode 100644 index 0000000..e219e40 --- /dev/null +++ b/lib/conf_models.py @@ -0,0 +1,289 @@ +import os, re +from lib.conf import tts_dir, voices_dir + +loaded_tts = {} +xtts_builtin_speakers_list = {} + +TTS_ENGINES = { + "XTTS": "xtts", + "BARK": "bark", + "TORTOISE": "tortoise", + "PIPER": "piper", + "VITS": "vits", + "FAIRSEQ": "fairseq", + "GLOWTTS": "glowtts", + "TACOTRON": "tacotron", + "YOURTTS": "yourtts" +} + +TTS_VOICE_CONVERSION = { + "freevc24": {"path": "voice_conversion_models/multilingual/vctk/freevc24", "samplerate": 24000}, + "knnvc": {"path": "voice_conversion_models/multilingual/multi-dataset/knnvc", "samplerate": 16000}, + "openvoice_v1": {"path": "voice_conversion_models/multilingual/multi-dataset/openvoice_v1", "samplerate": 22050}, + "openvoice_v2": {"path": "voice_conversion_models/multilingual/multi-dataset/openvoice_v2", "samplerate": 22050} +} + +TTS_SML = { + "break": {"static": "[break]", "paired": False}, + "pause": {"static": "[pause]", "paired": False}, + "voice": {"paired": True} +} + +sml_escape_tag = 0xE000 +sml_tag_keys = '|'.join(map(re.escape, TTS_SML.keys())) + +SML_TAG_PATTERN = re.compile( + rf''' + \[ + \s* + (?P/)? + \s* + (?P{sml_tag_keys}) + (?:\s*:\s*(?P.*?))? + \s* + \] + ''', + re.VERBOSE | re.DOTALL +) + +IPA_REMAINING_PATTERN = re.compile( + r'[' + r'\u0250-\u02AF' # IPA Extensions + r'\u1D00-\u1D7F' # Phonetic Extensions + r'\u1D80-\u1DBF' # Phonetic Extensions Supplement + r'\u0300-\u036F' # Combining Diacritical Marks + r'\u02B0-\u02FF' # Spacing Modifier Letters + r'\u2070-\u209F' # Superscripts (ⁿ etc.) + r'\u0278\u0281' # specific IPA symbols + r'ʼ' + r']+' +) + +default_tts_engine = TTS_ENGINES['XTTS'] +default_fine_tuned = 'internal' +default_vc_model = TTS_VOICE_CONVERSION['knnvc']['path'] +default_voice_detection_model = 'drewThomasson/segmentation' +default_speaker = os.path.join(voices_dir, 'eng', 'adult', 'male', 'KumarDahl.wav') + +tts_engines_from_coqui = [TTS_ENGINES['XTTS'], TTS_ENGINES['BARK'], TTS_ENGINES['TORTOISE'], TTS_ENGINES['VITS'], TTS_ENGINES['FAIRSEQ'], TTS_ENGINES['GLOWTTS'], TTS_ENGINES['TACOTRON'], TTS_ENGINES['YOURTTS']] +tts_engines_with_inner_speaker = [TTS_ENGINES['PIPER'], TTS_ENGINES['VITS'], TTS_ENGINES['FAIRSEQ'], TTS_ENGINES['GLOWTTS'], TTS_ENGINES['TACOTRON'], TTS_ENGINES['YOURTTS']] +tts_engines_with_custom_model = (TTS_ENGINES['PIPER'], TTS_ENGINES['XTTS'], TTS_ENGINES['VITS'], TTS_ENGINES['FAIRSEQ']) + +max_custom_model = 100 +max_custom_voices = 1000 + +default_engine_settings = { + TTS_ENGINES['XTTS']: { + "repo": "coqui/XTTS-v2", + "languages": {"ara": "ar", "ces": "cs", "deu": "de", "eng": "en", "fra": "fr", "hin": "hi", "hun": "hu", "ita": "it", "jpn": "ja", "kor": "ko", "nld": "nl", "pol": "pl", "por": "pt", "rus": "ru", "spa": "es", "tur": "tr", "zho": "zh-cn"}, + "samplerate": 24000, + "temperature": 0.75, + #"codec_temperature": 0.3, + "length_penalty": 1.0, + "num_beams": 1, + "repetition_penalty": 2.0, + #"cvvp_weight": 0.3, + "top_k": 40, + "top_p": 0.95, + "speed": 1.0, + #"gpt_cond_len": 512, + #"gpt_batch_size": 1, + "enable_text_splitting": False, + "files": ['config.json', 'model.pth', 'vocab.json', 'ref.wav'], + "voice": default_speaker, + "voices": { + "ClaribelDervla": "Claribel Dervla", "DaisyStudious": "Daisy Studious", "GracieWise": "Gracie Wise", + "TammieEma": "Tammie Ema", "AlisonDietlinde": "Alison Dietlinde", "AnaFlorence": "Ana Florence", + "AnnmarieNele": "Annmarie Nele", "AsyaAnara": "Asya Anara", "BrendaStern": "Brenda Stern", + "GittaNikolina": "Gitta Nikolina", "HenrietteUsha": "Henriette Usha", "SofiaHellen": "Sofia Hellen", + "TammyGrit": "Tammy Grit", "TanjaAdelina": "Tanja Adelina", "VjollcaJohnnie": "Vjollca Johnnie", + "AndrewChipper": "Andrew Chipper", "BadrOdhiambo": "Badr Odhiambo", "DionisioSchuyler": "Dionisio Schuyler", + "RoystonMin": "Royston Min", "ViktorEka": "Viktor Eka", "AbrahanMack": "Abrahan Mack", + "AddeMichal": "Adde Michal", "BaldurSanjin": "Baldur Sanjin", "CraigGutsy": "Craig Gutsy", + "DamienBlack": "Damien Black", "GilbertoMathias": "Gilberto Mathias", "IlkinUrbano": "Ilkin Urbano", + "KazuhikoAtallah": "Kazuhiko Atallah", "LudvigMilivoj": "Ludvig Milivoj", "SuadQasim": "Suad Qasim", + "TorcullDiarmuid": "Torcull Diarmuid", "ViktorMenelaos": "Viktor Menelaos", "ZacharieAimilios": "Zacharie Aimilios", + "NovaHogarth": "Nova Hogarth", "MajaRuoho": "Maja Ruoho", "UtaObando": "Uta Obando", + "LidiyaSzekeres": "Lidiya Szekeres", "ChandraMacFarland": "Chandra MacFarland", "SzofiGranger": "Szofi Granger", + "CamillaHolmström": "Camilla Holmström", "LilyaStainthorpe": "Lilya Stainthorpe", "ZofijaKendrick": "Zofija Kendrick", + "NarelleMoon": "Narelle Moon", "BarboraMacLean": "Barbora MacLean", "AlexandraHisakawa": "Alexandra Hisakawa", + "AlmaMaría": "Alma María", "RosemaryOkafor": "Rosemary Okafor", "IgeBehringer": "Ige Behringer", + "FilipTraverse": "Filip Traverse", "DamjanChapman": "Damjan Chapman", "WulfCarlevaro": "Wulf Carlevaro", + "AaronDreschner": "Aaron Dreschner", "KumarDahl": "Kumar Dahl", "EugenioMataracı": "Eugenio Mataracı", + "FerranSimen": "Ferran Simen", "XavierHayasaka": "Xavier Hayasaka", "LuisMoray": "Luis Moray", + "MarcosRudaski": "Marcos Rudaski" + }, + "rating": {"VRAM": 4, "CPU": 2, "RAM": 4, "Realism": 5} + }, + TTS_ENGINES['BARK']: { + "languages": {"deu": "de", "eng": "en", "fra": "fr", "hin": "hi", "ita": "it", "jpn": "ja", "kor": "ko", "pol": "pl", "por": "pt", "rus": "ru", "spa": "es", "tur": "tr", "zho": "zh-cn"}, + "samplerate": 24000, + "text_temp": 0.22, + "waveform_temp": 0.44, + "files": [], + "speakers_path": os.path.join(voices_dir, '__bark'), + "voice": default_speaker, + "voices": { + "de_speaker_0": "Speaker 0", "de_speaker_1": "Speaker 1", "de_speaker_2": "Speaker 2", + "de_speaker_3": "Speaker 3", "de_speaker_4": "Speaker 4", "de_speaker_5": "Speaker 5", + "de_speaker_6": "Speaker 6", "de_speaker_7": "Speaker 7", "de_speaker_8": "Speaker 8", + "de_speaker_9": "Speaker 9", "en_speaker_0": "Speaker 0", "en_speaker_1": "Speaker 1", + "en_speaker_2": "Speaker 2", "en_speaker_3": "Speaker 3", "en_speaker_4": "Speaker 4", + "en_speaker_5": "Speaker 5", "en_speaker_6": "Speaker 6", "en_speaker_7": "Speaker 7", + "en_speaker_8": "Speaker 8", "en_speaker_9": "Speaker 9", "es_speaker_0": "Speaker 0", + "es_speaker_1": "Speaker 1", "es_speaker_2": "Speaker 2", "es_speaker_3": "Speaker 3", + "es_speaker_4": "Speaker 4", "es_speaker_5": "Speaker 5", "es_speaker_6": "Speaker 6", + "es_speaker_7": "Speaker 7", "es_speaker_8": "Speaker 8", "es_speaker_9": "Speaker 9", + "fr_speaker_0": "Speaker 0", "fr_speaker_1": "Speaker 1", "fr_speaker_2": "Speaker 2", + "fr_speaker_3": "Speaker 3", "fr_speaker_4": "Speaker 4", "fr_speaker_5": "Speaker 5", + "fr_speaker_6": "Speaker 6", "fr_speaker_7": "Speaker 7", "fr_speaker_8": "Speaker 8", + "fr_speaker_9": "Speaker 9", "hi_speaker_0": "Speaker 0", "hi_speaker_1": "Speaker 1", + "hi_speaker_2": "Speaker 2", "hi_speaker_3": "Speaker 3", "hi_speaker_4": "Speaker 4", + "hi_speaker_5": "Speaker 5", "hi_speaker_6": "Speaker 6", "hi_speaker_7": "Speaker 7", + "hi_speaker_8": "Speaker 8", "hi_speaker_9": "Speaker 9", "it_speaker_0": "Speaker 0", + "it_speaker_1": "Speaker 1", "it_speaker_2": "Speaker 2", "it_speaker_3": "Speaker 3", + "it_speaker_4": "Speaker 4", "it_speaker_5": "Speaker 5", "it_speaker_6": "Speaker 6", + "it_speaker_7": "Speaker 7", "it_speaker_8": "Speaker 8", "it_speaker_9": "Speaker 9", + "ja_speaker_0": "Speaker 0", "ja_speaker_1": "Speaker 1", "ja_speaker_2": "Speaker 2", + "ja_speaker_3": "Speaker 3", "ja_speaker_4": "Speaker 4", "ja_speaker_5": "Speaker 5", + "ja_speaker_6": "Speaker 6", "ja_speaker_7": "Speaker 7", "ja_speaker_8": "Speaker 8", + "ja_speaker_9": "Speaker 9", "ko_speaker_0": "Speaker 0", "ko_speaker_1": "Speaker 1", + "ko_speaker_2": "Speaker 2", "ko_speaker_3": "Speaker 3", "ko_speaker_4": "Speaker 4", + "ko_speaker_5": "Speaker 5", "ko_speaker_6": "Speaker 6", "ko_speaker_7": "Speaker 7", + "ko_speaker_8": "Speaker 8", "ko_speaker_9": "Speaker 9", "pl_speaker_0": "Speaker 0", + "pl_speaker_1": "Speaker 1", "pl_speaker_2": "Speaker 2", "pl_speaker_3": "Speaker 3", + "pl_speaker_4": "Speaker 4", "pl_speaker_5": "Speaker 5", "pl_speaker_6": "Speaker 6", + "pl_speaker_7": "Speaker 7", "pl_speaker_8": "Speaker 8", "pl_speaker_9": "Speaker 9", + "pt_speaker_0": "Speaker 0", "pt_speaker_1": "Speaker 1", "pt_speaker_2": "Speaker 2", + "pt_speaker_3": "Speaker 3", "pt_speaker_4": "Speaker 4", "pt_speaker_5": "Speaker 5", + "pt_speaker_6": "Speaker 6", "pt_speaker_7": "Speaker 7", "pt_speaker_8": "Speaker 8", + "pt_speaker_9": "Speaker 9", "ru_speaker_0": "Speaker 0", "ru_speaker_1": "Speaker 1", + "ru_speaker_2": "Speaker 2", "ru_speaker_3": "Speaker 3", "ru_speaker_4": "Speaker 4", + "ru_speaker_5": "Speaker 5", "ru_speaker_6": "Speaker 6", "ru_speaker_7": "Speaker 7", + "ru_speaker_8": "Speaker 8", "ru_speaker_9": "Speaker 9", "tr_speaker_0": "Speaker 0", + "tr_speaker_1": "Speaker 1", "tr_speaker_2": "Speaker 2", "tr_speaker_3": "Speaker 3", + "tr_speaker_4": "Speaker 4", "tr_speaker_5": "Speaker 5", "tr_speaker_6": "Speaker 6", + "tr_speaker_7": "Speaker 7", "tr_speaker_8": "Speaker 8", "tr_speaker_9": "Speaker 9", + "zh_speaker_0": "Speaker 0", "zh_speaker_1": "Speaker 1", "zh_speaker_2": "Speaker 2", + "zh_speaker_3": "Speaker 3", "zh_speaker_4": "Speaker 4", "zh_speaker_5": "Speaker 5", + "zh_speaker_6": "Speaker 6", "zh_speaker_7": "Speaker 7", "zh_speaker_8": "Speaker 8", + "zh_speaker_9": "Speaker 9" + }, + "rating": {"VRAM": 6, "CPU": 1, "RAM": 6, "Realism": 4} + }, + TTS_ENGINES['TORTOISE']: { + "languages": {"eng": "en"}, + "samplerate": 24000, + "files": [], + "voice": default_speaker, + "voices": {}, + "rating": {"VRAM": 3, "CPU": 2, "RAM": 4, "Realism": 4} + }, + TTS_ENGINES['PIPER']: { + "languages": { + "ara": "ar_JO", "cat": "ca_ES", "ces": "cs_CZ", "cym": "cy_GB", "dan": "da_DK", + "deu": "de_DE", "ell": "el_GR", "eng": "en_GB", "spa": "es_ES", "fas": "fa_IR", + "fin": "fi_FI", "fra": "fr_FR", "hun": "hu_HU", "isl": "is_IS", "ita": "it_IT", + "kat": "ka_GE", "kaz": "kk_KZ", "ltz": "lb_LU", "lav": "lv_LV", "nep": "ne_NP", + "nld": "nl_NL", "nob": "no_NO", "pol": "pl_PL", "por": "pt_PT", "ron": "ro_RO", + "rus": "ru_RU", "slk": "sk_SK", "slv": "sl_SI", "srp": "sr_RS", "swe": "sv_SE", + "swa": "sw_CD", "tur": "tr_TR", "ukr": "uk_UA", "urd": "ur_PK", "vie": "vi_VN", + "zho": "zh_CN" + }, + "samplerate": 22050, + "files": ['config.onnx.json', 'model.onnx', 'ref.wav'], + "speakers_path": os.path.join(voices_dir, '__piper'), + "voice": None, + "voices": { + "ar_JO-kareem-medium": "Kareem", + "ca_ES-upc_ona-medium": "Ona", + "cs_CZ-jirka-medium": "Jirka", + "cy_GB-gwryw_gogleddol-medium": "Gwryw Gogleddol", + "cy_GB-bu_tts-medium": "Bu", + "da_DK-talesyntese-medium": "Talesyntese", + "de_DE-thorsten-medium": "Thorsten", + "de_DE-thorsten_emotional-medium": "Thorsten Emotional", + "de_DE-mls-medium": "Mls", + "el_GR-rapunzelina-low": "Rapunzelina", + "en_GB-alan-medium": "Alan", + "en_GB-cori-high": "Cori", + "es_ES-davefx-medium": "DaveFX", + "es_ES-sharvard-medium": "Sharvard", + "fa_IR-amir-medium": "Amir", + "fi_FI-harri-medium": "Harri", + "fr_FR-tom-medium": "Tom", + "fr_FR-siwis-medium": "Siwis", + "hu_HU-anna-medium": "Anna", + "is_IS-bui-medium": "Bui", + "is_IS-salka-medium": "Salka", + "it_IT-riccardo-x_low": "Riccardo", + "it_IT-paola-medium": "Paola", + "ka_GE-natia-medium": "Natia", + "kk_KZ-issai-high": "Issai", + "kk_KZ-iseke-x_low": "Iseke", + "lb_LU-marylux-medium": "MaryLux", + "lv_LV-aivars-medium": "Aivars", + "ne_NP-google-medium": "Google", + "nl_NL-mls-medium": "Mls", + "no_NO-talesyntese-medium": "Talesyntese", + "pl_PL-darkman-medium": "Darkman", + "pl_PL-gosia-medium": "Gosia", + "pt_PT-tug%C3%A3o-medium": "Tugão", + "ro_RO-mihai-medium": "Mihai", + "ru_RU-denis-medium": "Denis", + "ru_RU-irina-medium": "Irina", + "sk_SK-lili-medium": "Lili", + "sl_SI-artur-medium": "Artur", + "sr_RS-serbski_institut-medium": "Serbski", + "sv_SE-nst-medium": "Nst", + "sw_CD-lanfrica-medium": "Lanfrica", + "tr_TR-dfki-medium": "Dfki", + "uk_UA-ukrainian_tts-medium": "Ukrainian", + "ur_PK-fasih-medium": "Fasih", + "vi_VN-vais1000-medium": "Vais", + "zh_CN-huayan-medium": "Huayan" + }, + "rating": {"VRAM": 1, "CPU": 5, "RAM": 2, "Realism": 4} + }, + TTS_ENGINES['VITS']: { + "languages": {"ben": "bn", "bul": "bg", "cat": "ca", "ces": "cs", "dan": "da", "deu": "de", "ell": "el", "eng": "en", "est": "et", "ewe": "ewe", "fas": "fa", "fin": "fi", "fra": "fr", "gle": "ga", "hau": "hau", "hrv": "hr", "hun": "hu", "ita": "it", "lav": "lv", "lin": "lin", "lit": "lt", "mlt": "mt", "nld": "nl", "pol": "pl", "por": "pt", "rom": "ro", "slk": "sk", "sln": "sl", "spa": "es", "swe": "sv", "tw_akuapem": "tw_akuapem", "tw_asante": "tw_asante", "ukr": "uk", "yor": "yor"}, + "samplerate": 22050, + "files": ['config.json', 'best_model.pth', 'ref.wav'], + "voice": None, + "voices": {}, + "rating": {"VRAM": 2, "CPU": 4, "RAM": 4, "Realism": 4} + }, + TTS_ENGINES['FAIRSEQ']: { + # "nob": "nb", + "languages": {"ara": "ar", "ben": "bn", "eng": "en", "fas": "fa", "fra": "fr", "deu": "de", "hin": "hi", "hun": "hu", "ind": "id", "jav": "jv", "kor": "ko", "pol": "pl", "por": "pt", "rus": "ru", "spa": "es", "tam": "ta", "tel": "te", "tur": "tr", "yor": "yo", "abi": "abi", "ace": "ace", "aca": "aca", "acn": "acn", "acr": "acr", "ach": "ach", "acu": "acu", "guq": "guq", "ade": "ade", "adj": "adj", "agd": "agd", "agx": "agx", "agn": "agn", "aha": "aha", "aka": "ak", "knj": "knj", "ake": "ake", "aeu": "aeu", "ahk": "ahk", "bss": "bss", "alj": "alj", "sqi": "sq", "alt": "alt", "alp": "alp", "alz": "alz", "kab": "kab", "amk": "amk", "mmg": "mmg", "amh": "am", "ami": "ami", "azg": "azg", "agg": "agg", "boj": "boj", "cko": "cko", "any": "any", "arl": "arl", "atq": "atq", "luc": "luc", "hyw": "hyw", "apr": "apr", "aia": "aia", "msy": "msy", "cni": "cni", "cjo": "cjo", "cpu": "cpu", "cpb": "cpb", "asm": "as", "asa": "asa", "teo": "teo", "ati": "ati", "djk": "djk", "ava": "av", "avn": "avn", "avu": "avu", "awb": "awb", "kwi": "kwi", "awa": "awa", "agr": "agr", "agu": "agu", "ayr": "ayr", "ayo": "ayo", "abp": "abp", "blx": "blx", "sgb": "sgb", "azj-script_cyrillic": "azj-script_cyrillic", "azj-script_latin": "azj-script_latin", "azb": "azb", "bba": "bba", "bhz": "bhz", "bvc": "bvc", "bfy": "bfy", "bgq": "bgq", "bdq": "bdq", "bdh": "bdh", "bqi": "bqi", "bjw": "bjw", "blz": "blz", "ban": "ban", "bcc-script_latin": "bcc-script_latin", "bcc-script_arabic": "bcc-script_arabic", "bam": "bm", "ptu": "ptu", "bcw": "bcw", "bqj": "bqj", "bno": "bno", "bbb": "bbb", "bfa": "bfa", "bjz": "bjz", "bak": "ba", "eus": "eu", "bsq": "bsq", "akb": "akb", "btd": "btd", "btx": "btx", "bts": "bts", "bbc": "bbc", "bvz": "bvz", "bjv": "bjv", "bep": "bep", "bkv": "bkv", "bzj": "bzj", "bem": "bem", "bng": "bng", "bom": "bom", "btt": "btt", "bha": "bha", "bgw": "bgw", "bht": "bht", "beh": "beh", "sne": "sne", "ubl": "ubl", "bcl": "bcl", "bim": "bim", "bkd": "bkd", "bjr": "bjr", "bfo": "bfo", "biv": "biv", "bib": "bib", "bis": "bi", "bzi": "bzi", "bqp": "bqp", "bpr": "bpr", "bps": "bps", "bwq": "bwq", "bdv": "bdv", "bqc": "bqc", "bus": "bus", "bnp": "bnp", "bmq": "bmq", "bdg": "bdg", "boa": "boa", "ksr": "ksr", "bor": "bor", "bru": "bru", "box": "box", "bzh": "bzh", "bgt": "bgt", "sab": "sab", "bul": "bg", "bwu": "bwu", "bmv": "bmv", "mya": "my", "tte": "tte", "cjp": "cjp", "cbv": "cbv", "kaq": "kaq", "cot": "cot", "cbc": "cbc", "car": "car", "cat": "ca", "ceb": "ceb", "cme": "cme", "cbi": "cbi", "ceg": "ceg", "cly": "cly", "cya": "cya", "che": "ce", "hne": "hne", "nya": "ny", "dig": "dig", "dug": "dug", "bgr": "bgr", "cek": "cek", "cfm": "cfm", "cnh": "cnh", "hlt": "hlt", "mwq": "mwq", "ctd": "ctd", "tcz": "tcz", "zyp": "zyp", "cco": "cco", "cnl": "cnl", "cle": "cle", "chz": "chz", "cpa": "cpa", "cso": "cso", "cnt": "cnt", "cuc": "cuc", "hak": "hak", "nan": "nan", "xnj": "xnj", "cap": "cap", "cax": "cax", "ctg": "ctg", "ctu": "ctu", "chf": "chf", "cce": "cce", "crt": "crt", "crq": "crq", "cac-dialect_sansebasti\u00e1ncoat\u00e1n": "cac-dialect_sansebasti\u00e1ncoat\u00e1n", "cac-dialect_sanmateoixtat\u00e1n": "cac-dialect_sanmateoixtat\u00e1n", "ckt": "ckt", "ncu": "ncu", "cdj": "cdj", "chv": "cv", "caa": "caa", "asg": "asg", "con": "con", "crn": "crn", "cok": "cok", "crk-script_latin": "crk-script_latin", "crk-script_syllabics": "crk-script_syllabics", "crh": "crh", "cui": "cui", "ces": "cs", "dsh": "dsh", "dbq": "dbq", "dga": "dga", "dgi": "dgi", "dgk": "dgk", "dnj-dialect_gweetaawueast": "dnj-dialect_gweetaawueast", "dnj-dialect_blowowest": "dnj-dialect_blowowest", "daa": "daa", "dnt": "dnt", "dnw": "dnw", "dar": "dar", "tcc": "tcc", "dwr": "dwr", "ded": "ded", "mzw": "mzw", "ntr": "ntr", "ddn": "ddn", "des": "des", "dso": "dso", "nfa": "nfa", "dhi": "dhi", "gud": "gud", "did": "did", "mhu": "mhu", "dip": "dip", "dik": "dik", "tbz": "tbz", "dts": "dts", "dos": "dos", "dgo": "dgo", "mvp": "mvp", "jen": "jen", "dzo": "dz", "idd": "idd", "eka": "eka", "cto": "cto", "emp": "emp", "enx": "enx", "sja": "sja", "myv": "myv", "mcq": "mcq", "ese": "ese", "evn": "evn", "eza": "eza", "ewe": "ee", "fal": "fal", "fao": "fo", "far": "far", "fij": "fj", "fin": "fi", "fon": "fon", "frd": "frd", "ful": "ff", "flr": "flr", "gau": "gau", "gbk": "gbk", "gag-script_cyrillic": "gag-script_cyrillic", "gag-script_latin": "gag-script_latin", "gbi": "gbi", "gmv": "gmv", "lug": "lg", "pwg": "pwg", "gbm": "gbm", "cab": "cab", "grt": "grt", "krs": "krs", "gso": "gso", "nlg": "nlg", "gej": "gej", "gri": "gri", "kik": "ki", "acd": "acd", "glk": "glk", "gof-script_latin": "gof-script_latin", "gog": "gog", "gkn": "gkn", "wsg": "wsg", "gjn": "gjn", "gqr": "gqr", "gor": "gor", "gux": "gux", "gbo": "gbo", "ell": "el", "grc": "grc", "guh": "guh", "gub": "gub", "grn": "gn", "gyr": "gyr", "guo": "guo", "gde": "gde", "guj": "gu", "gvl": "gvl", "guk": "guk", "rub": "rub", "dah": "dah", "gwr": "gwr", "gwi": "gwi", "hat": "ht", "hlb": "hlb", "amf": "amf", "hag": "hag", "hnn": "hnn", "bgc": "bgc", "had": "had", "hau": "ha", "hwc": "hwc", "hvn": "hvn", "hay": "hay", "xed": "xed", "heb": "he", "heh": "heh", "hil": "hil", "hif": "hif", "hns": "hns", "hoc": "hoc", "hoy": "hoy", "hus-dialect_westernpotosino": "hus-dialect_westernpotosino", "hus-dialect_centralveracruz": "hus-dialect_centralveracruz", "huv": "huv", "hui": "hui", "hap": "hap", "iba": "iba", "isl": "is", "dbj": "dbj", "ifa": "ifa", "ifb": "ifb", "ifu": "ifu", "ifk": "ifk", "ife": "ife", "ign": "ign", "ikk": "ikk", "iqw": "iqw", "ilb": "ilb", "ilo": "ilo", "imo": "imo", "inb": "inb", "ipi": "ipi", "irk": "irk", "icr": "icr", "itv": "itv", "itl": "itl", "atg": "atg", "ixl-dialect_sanjuancotzal": "ixl-dialect_sanjuancotzal", "ixl-dialect_sangasparchajul": "ixl-dialect_sangasparchajul", "ixl-dialect_santamarianebaj": "ixl-dialect_santamarianebaj", "nca": "nca", "izr": "izr", "izz": "izz", "jac": "jac", "jam": "jam", "jvn": "jvn", "kac": "kac", "dyo": "dyo", "csk": "csk", "adh": "adh", "jun": "jun", "jbu": "jbu", "dyu": "dyu", "bex": "bex", "juy": "juy", "gna": "gna", "urb": "urb", "kbp": "kbp", "cwa": "cwa", "dtp": "dtp", "kbr": "kbr", "cgc": "cgc", "kki": "kki", "kzf": "kzf", "lew": "lew", "cbr": "cbr", "kkj": "kkj", "keo": "keo", "kqe": "kqe", "kak": "kak", "kyb": "kyb", "knb": "knb", "kmd": "kmd", "kml": "kml", "ify": "ify", "xal": "xal", "kbq": "kbq", "kay": "kay", "ktb": "ktb", "hig": "hig", "gam": "gam", "cbu": "cbu", "xnr": "xnr", "kmu": "kmu", "kne": "kne", "kan": "kn", "kby": "kby", "pam": "pam", "cak-dialect_santamar\u00edadejes\u00fas": "cak-dialect_santamar\u00edadejes\u00fas", "cak-dialect_southcentral": "cak-dialect_southcentral", "cak-dialect_yepocapa": "cak-dialect_yepocapa", "cak-dialect_western": "cak-dialect_western", "cak-dialect_santodomingoxenacoj": "cak-dialect_santodomingoxenacoj", "cak-dialect_central": "cak-dialect_central", "xrb": "xrb", "krc": "krc", "kaa": "kaa", "krl": "krl", "pww": "pww", "xsm": "xsm", "cbs": "cbs", "pss": "pss", "kxf": "kxf", "kyz": "kyz", "kyu": "kyu", "txu": "txu", "kaz": "kk", "ndp": "ndp", "kbo": "kbo", "kyq": "kyq", "ken": "ken", "ker": "ker", "xte": "xte", "kyg": "kyg", "kjh": "kjh", "kca": "kca", "khm": "km", "kxm": "kxm", "kjg": "kjg", "nyf": "nyf", "kij": "kij", "kia": "kia", "kqr": "kqr", "kqp": "kqp", "krj": "krj", "zga": "zga", "kin": "rw", "pkb": "pkb", "geb": "geb", "gil": "gil", "kje": "kje", "kss": "kss", "thk": "thk", "klu": "klu", "kyo": "kyo", "kog": "kog", "kfb": "kfb", "kpv": "kpv", "bbo": "bbo", "xon": "xon", "kma": "kma", "kno": "kno", "kxc": "kxc", "ozm": "ozm", "kqy": "kqy", "coe": "coe", "kpq": "kpq", "kpy": "kpy", "kyf": "kyf", "kff-script_telugu": "kff-script_telugu", "kri": "kri", "rop": "rop", "ktj": "ktj", "ted": "ted", "krr": "krr", "kdt": "kdt", "kez": "kez", "cul": "cul", "kle": "kle", "kdi": "kdi", "kue": "kue", "kum": "kum", "kvn": "kvn", "cuk": "cuk", "kdn": "kdn", "xuo": "xuo", "key": "key", "kpz": "kpz", "knk": "knk", "kmr-script_latin": "kmr-script_latin", "kmr-script_arabic": "kmr-script_arabic", "kmr-script_cyrillic": "kmr-script_cyrillic", "xua": "xua", "kru": "kru", "kus": "kus", "kub": "kub", "kdc": "kdc", "kxv": "kxv", "blh": "blh", "cwt": "cwt", "kwd": "kwd", "tnk": "tnk", "kwf": "kwf", "cwe": "cwe", "kyc": "kyc", "tye": "tye", "kir": "ky", "quc-dialect_north": "quc-dialect_north", "quc-dialect_east": "quc-dialect_east", "quc-dialect_central": "quc-dialect_central", "lac": "lac", "lsi": "lsi", "lbj": "lbj", "lhu": "lhu", "las": "las", "lam": "lam", "lns": "lns", "ljp": "ljp", "laj": "laj", "lao": "lo", "lat": "la", "lav": "lv", "law": "law", "lcp": "lcp", "lzz": "lzz", "lln": "lln", "lef": "lef", "acf": "acf", "lww": "lww", "mhx": "mhx", "eip": "eip", "lia": "lia", "lif": "lif", "onb": "onb", "lis": "lis", "loq": "loq", "lob": "lob", "yaz": "yaz", "lok": "lok", "llg": "llg", "ycl": "ycl", "lom": "lom", "ngl": "ngl", "lon": "lon", "lex": "lex", "lgg": "lgg", "ruf": "ruf", "dop": "dop", "lnd": "lnd", "ndy": "ndy", "lwo": "lwo", "lee": "lee", "mev": "mev", "mfz": "mfz", "jmc": "jmc", "myy": "myy", "mbc": "mbc", "mda": "mda", "mad": "mad", "mag": "mag", "ayz": "ayz", "mai": "mai", "mca": "mca", "mcp": "mcp", "mak": "mak", "vmw": "vmw", "mgh": "mgh", "kde": "kde", "mlg": "mg", "zlm": "zlm", "pse": "pse", "mkn": "mkn", "xmm": "xmm", "mal": "ml", "xdy": "xdy", "div": "dv", "mdy": "mdy", "mup": "mup", "mam-dialect_central": "mam-dialect_central", "mam-dialect_northern": "mam-dialect_northern", "mam-dialect_southern": "mam-dialect_southern", "mam-dialect_western": "mam-dialect_western", "mqj": "mqj", "mcu": "mcu", "mzk": "mzk", "maw": "maw", "mjl": "mjl", "mnk": "mnk", "mge": "mge", "mbh": "mbh", "knf": "knf", "mjv": "mjv", "mbt": "mbt", "obo": "obo", "mbb": "mbb", "mzj": "mzj", "nld": "nld", "sjm": "sjm", "mrw": "mrw", "mar": "mr", "mpg": "mpg", "mhr": "mhr", "enb": "enb", "mah": "mh", "myx": "myx", "klv": "klv", "mfh": "mfh", "met": "met", "mcb": "mcb", "mop": "mop", "yua": "yua", "mfy": "mfy", "maz": "maz", "vmy": "vmy", "maq": "maq", "mzi": "mzi", "maj": "maj", "maa-dialect_sanantonio": "maa-dialect_sanantonio", "maa-dialect_sanjer\u00f3nimo": "maa-dialect_sanjer\u00f3nimo", "mhy": "mhy", "mhi": "mhi", "zmz": "zmz", "myb": "myb", "gai": "gai", "mqb": "mqb", "mbu": "mbu", "med": "med", "men": "men", "mee": "mee", "mwv": "mwv", "meq": "meq", "zim": "zim", "mgo": "mgo", "mej": "mej", "mpp": "mpp", "min": "min", "gum": "gum", "mpx": "mpx", "mco": "mco", "mxq": "mxq", "pxm": "pxm", "mto": "mto", "mim": "mim", "xta": "xta", "mbz": "mbz", "mip": "mip", "mib": "mib", "miy": "miy", "mih": "mih", "miz": "miz", "xtd": "xtd", "mxt": "mxt", "xtm": "xtm", "mxv": "mxv", "xtn": "xtn", "mie": "mie", "mil": "mil", "mio": "mio", "mdv": "mdv", "mza": "mza", "mit": "mit", "mxb": "mxb", "mpm": "mpm", "soy": "soy", "cmo-script_latin": "cmo-script_latin", "cmo-script_khmer": "cmo-script_khmer", "mfq": "mfq", "old": "old", "mfk": "mfk", "mif": "mif", "mkl": "mkl", "mox": "mox", "myl": "myl", "mqf": "mqf", "mnw": "mnw", "mon": "mn", "mog": "mog", "mfe": "mfe", "mor": "mor", "mqn": "mqn", "mgd": "mgd", "mtj": "mtj", "cmr": "cmr", "mtd": "mtd", "bmr": "bmr", "moz": "moz", "mzm": "mzm", "mnb": "mnb", "mnf": "mnf", "unr": "unr", "fmu": "fmu", "mur": "mur", "tih": "tih", "muv": "muv", "muy": "muy", "sur": "sur", "moa": "moa", "wmw": "wmw", "tnr": "tnr", "miq": "miq", "mos": "mos", "muh": "muh", "nas": "nas", "mbj": "mbj", "nfr": "nfr", "kfw": "kfw", "nst": "nst", "nag": "nag", "nch": "nch", "nhe": "nhe", "ngu": "ngu", "azz": "azz", "nhx": "nhx", "ncl": "ncl", "nhy": "nhy", "ncj": "ncj", "nsu": "nsu", "npl": "npl", "nuz": "nuz", "nhw": "nhw", "nhi": "nhi", "nlc": "nlc", "nab": "nab", "gld": "gld", "nnb": "nnb", "npy": "npy", "pbb": "pbb", "ntm": "ntm", "nmz": "nmz", "naw": "naw", "nxq": "nxq", "ndj": "ndj", "ndz": "ndz", "ndv": "ndv", "new": "new", "nij": "nij", "sba": "sba", "gng": "gng", "nga": "nga", "nnq": "nnq", "ngp": "ngp", "gym": "gym", "kdj": "kdj", "nia": "nia", "nim": "nim", "nin": "nin", "nko": "nko", "nog": "nog", "lem": "lem", "not": "not", "nhu": "nhu", "bud": "bud", "nus": "nus", "yas": "yas", "nnw": "nnw", "nwb": "nwb", "nyy": "nyy", "nyn": "nyn", "rim": "rim", "lid": "lid", "nuj": "nuj", "nyo": "nyo", "nzi": "nzi", "ann": "ann", "ory": "ory", "ojb-script_latin": "ojb-script_latin", "ojb-script_syllabics": "ojb-script_syllabics", "oku": "oku", "bsc": "bsc", "bdu": "bdu", "orm": "om", "ury": "ury", "oss": "os", "ote": "ote", "otq": "otq", "stn": "stn", "sig": "sig", "kfx": "kfx", "bfz": "bfz", "sey": "sey", "pao": "pao", "pau": "pau", "pce": "pce", "plw": "plw", "pmf": "pmf", "pag": "pag", "pap": "pap", "prf": "prf", "pab": "pab", "pbi": "pbi", "pbc": "pbc", "pad": "pad", "ata": "ata", "pez": "pez", "peg": "peg", "pcm": "pcm", "pis": "pis", "pny": "pny", "pir": "pir", "pjt": "pjt", "poy": "poy", "pps": "pps", "pls": "pls", "poi": "poi", "poh-dialect_eastern": "poh-dialect_eastern", "poh-dialect_western": "poh-dialect_western", "prt": "prt", "pui": "pui", "pan": "pa", "tsz": "tsz", "suv": "suv", "lme": "lme", "quy": "quy", "qvc": "qvc", "quz": "quz", "qve": "qve", "qub": "qub", "qvh": "qvh", "qwh": "qwh", "qvw": "qvw", "quf": "quf", "qvm": "qvm", "qul": "qul", "qvn": "qvn", "qxn": "qxn", "qxh": "qxh", "qvs": "qvs", "quh": "quh", "qxo": "qxo", "qxr": "qxr", "qvo": "qvo", "qvz": "qvz", "qxl": "qxl", "quw": "quw", "kjb": "kjb", "kek": "kek", "rah": "rah", "rjs": "rjs", "rai": "rai", "lje": "lje", "rnl": "rnl", "rkt": "rkt", "rap": "rap", "yea": "yea", "raw": "raw", "rej": "rej", "rel": "rel", "ril": "ril", "iri": "iri", "rgu": "rgu", "rhg": "rhg", "rmc-script_latin": "rmc-script_latin", "rmc-script_cyrillic": "rmc-script_cyrillic", "rmo": "rmo", "rmy-script_latin": "rmy-script_latin", "rmy-script_cyrillic": "rmy-script_cyrillic", "ron": "ro", "rol": "rol", "cla": "cla", "rng": "rng", "rug": "rug", "run": "rn", "lsm": "lsm", "spy": "spy", "sck": "sck", "saj": "saj", "sch": "sch", "sml": "sml", "xsb": "xsb", "sbl": "sbl", "saq": "saq", "sbd": "sbd", "smo": "sm", "rav": "rav", "sxn": "sxn", "sag": "sg", "sbp": "sbp", "xsu": "xsu", "srm": "srm", "sas": "sas", "apb": "apb", "sgw": "sgw", "tvw": "tvw", "lip": "lip", "slu": "slu", "snw": "snw", "sea": "sea", "sza": "sza", "seh": "seh", "crs": "crs", "ksb": "ksb", "shn": "shn", "sho": "sho", "mcd": "mcd", "cbt": "cbt", "xsr": "xsr", "shk": "shk", "shp": "shp", "sna": "sn", "cjs": "cjs", "jiv": "jiv", "snp": "snp", "sya": "sya", "sid": "sid", "snn": "snn", "sri": "sri", "srx": "srx", "sil": "sil", "sld": "sld", "akp": "akp", "xog": "xog", "som": "so", "bmu": "bmu", "khq": "khq", "ses": "ses", "mnx": "mnx", "srn": "srn", "sxb": "sxb", "suc": "suc", "tgo": "tgo", "suk": "suk", "sun": "su", "suz": "suz", "sgj": "sgj", "sus": "sus", "swh": "swh", "swe": "sv", "syl": "syl", "dyi": "dyi", "myk": "myk", "spp": "spp", "tap": "tap", "tby": "tby", "tna": "tna", "shi": "shi", "klw": "klw", "tgl": "tl", "tbk": "tbk", "tgj": "tgj", "blt": "blt", "tbg": "tbg", "omw": "omw", "tgk": "tg", "tdj": "tdj", "tbc": "tbc", "tlj": "tlj", "tly": "tly", "ttq-script_tifinagh": "ttq-script_tifinagh", "taj": "taj", "taq": "taq", "tpm": "tpm", "tgp": "tgp", "tnn": "tnn", "tac": "tac", "rif-script_latin": "rif-script_latin", "rif-script_arabic": "rif-script_arabic", "tat": "tt", "tav": "tav", "twb": "twb", "tbl": "tbl", "kps": "kps", "twe": "twe", "ttc": "ttc", "kdh": "kdh", "tes": "tes", "tex": "tex", "tee": "tee", "tpp": "tpp", "tpt": "tpt", "stp": "stp", "tfr": "tfr", "twu": "twu", "ter": "ter", "tew": "tew", "tha": "th", "nod": "nod", "thl": "thl", "tem": "tem", "adx": "adx", "bod": "bo", "khg": "khg", "tca": "tca", "tir": "ti", "txq": "txq", "tik": "tik", "dgr": "dgr", "tob": "tob", "tmf": "tmf", "tng": "tng", "tlb": "tlb", "ood": "ood", "tpi": "tpi", "jic": "jic", "lbw": "lbw", "txa": "txa", "tom": "tom", "toh": "toh", "tnt": "tnt", "sda": "sda", "tcs": "tcs", "toc": "toc", "tos": "tos", "neb": "neb", "trn": "trn", "trs": "trs", "trc": "trc", "tri": "tri", "cof": "cof", "tkr": "tkr", "kdl": "kdl", "cas": "cas", "tso": "ts", "tuo": "tuo", "iou": "iou", "tmc": "tmc", "tuf": "tuf", "tuk-script_latin": "tk", "tuk-script_arabic": "tk", "bov": "bov", "tue": "tue", "kcg": "kcg", "tzh-dialect_bachaj\u00f3n": "tzh-dialect_bachaj\u00f3n", "tzh-dialect_tenejapa": "tzh-dialect_tenejapa", "tzo-dialect_chenalh\u00f3": "tzo-dialect_chenalh\u00f3", "tzo-dialect_chamula": "tzo-dialect_chamula", "tzj-dialect_western": "tzj-dialect_western", "tzj-dialect_eastern": "tzj-dialect_eastern", "aoz": "aoz", "udm": "udm", "udu": "udu", "ukr": "uk", "ppk": "ppk", "ubu": "ubu", "urk": "urk", "ura": "ura", "urt": "urt", "urd-script_devanagari": "ur", "urd-script_arabic": "ur", "urd-script_latin": "ur", "upv": "upv", "usp": "usp", "uig-script_arabic": "ug", "uig-script_cyrillic": "ug", "uzb-script_cyrillic": "uz", "vag": "vag", "bav": "bav", "vid": "vid", "vie": "vi", "vif": "vif", "vun": "vun", "vut": "vut", "prk": "prk", "wwa": "wwa", "rro": "rro", "bao": "bao", "waw": "waw", "lgl": "lgl", "wlx": "wlx", "cou": "cou", "hub": "hub", "gvc": "gvc", "mfi": "mfi", "wap": "wap", "wba": "wba", "war": "war", "way": "way", "guc": "guc", "cym": "cy", "kvw": "kvw", "tnp": "tnp", "hto": "hto", "huu": "huu", "wal-script_latin": "wal-script_latin", "wal-script_ethiopic": "wal-script_ethiopic", "wlo": "wlo", "noa": "noa", "wob": "wob", "kao": "kao", "xer": "xer", "yad": "yad", "yka": "yka", "sah": "sah", "yba": "yba", "yli": "yli", "nlk": "nlk", "yal": "yal", "yam": "yam", "yat": "yat", "jmd": "jmd", "tao": "tao", "yaa": "yaa", "ame": "ame", "guu": "guu", "yao": "yao", "yre": "yre", "yva": "yva", "ybb": "ybb", "pib": "pib", "byr": "byr", "pil": "pil", "ycn": "ycn", "ess": "ess", "yuz": "yuz", "atb": "atb", "zne": "zne", "zaq": "zaq", "zpo": "zpo", "zad": "zad", "zpc": "zpc", "zca": "zca", "zpg": "zpg", "zai": "zai", "zpl": "zpl", "zam": "zam", "zaw": "zaw", "zpm": "zpm", "zac": "zac", "zao": "zao", "ztq": "ztq", "zar": "zar", "zpt": "zpt", "zpi": "zpi", "zas": "zas", "zaa": "zaa", "zpz": "zpz", "zab": "zab", "zpu": "zpu", "zae": "zae", "zty": "zty", "zav": "zav", "zza": "zza", "zyb": "zyb", "ziw": "ziw", "zos": "zos", "gnd": "gnd"}, + "samplerate": 16000, + "files": ['config.json', 'G_100000.pth', 'vocab.txt', 'ref.wav'], + "voice": None, + "voices": {}, + "rating": {"VRAM": 2, "CPU": 4, "RAM": 4, "Realism": 4} + }, + TTS_ENGINES['GLOWTTS']: { + "languages": {"eng": "en", "ukr": "uk", "tur": "tr", "ita": "it", "fas": "fa", "bel": "be"}, + "samplerate": 22050, + "files": [], + "voice": None, + "voices": {}, + "rating": {"VRAM": 1, "CPU": 4, "RAM": 2, "Realism": 3} + }, + TTS_ENGINES['TACOTRON']: { + "languages": {"deu": "de", "eng": "en", "fra": "fr", "spa": "es"}, + "samplerate": 22050, + "files": [], + "voice": None, + "voices": {}, + "rating": {"VRAM": 1, "CPU": 5, "RAM": 2, "Realism": 3} + }, + TTS_ENGINES['YOURTTS']: { + "languages": {"eng": "en", "fra": "fr", "por": "pt"}, + "samplerate": 16000, + "files": [], + "voice": None, + "voices": {"Machinella-5": "female-en-5", "ElectroMale-2": "male-en-2", 'Machinella-4': 'female-pt-4\n', 'ElectroMale-3': 'male-pt-3\n'}, + "rating": {"VRAM": 1, "CPU": 5, "RAM": 1, "Realism": 2} + } +} \ No newline at end of file diff --git a/lib/core.py b/lib/core.py new file mode 100644 index 0000000..cb2d33d --- /dev/null +++ b/lib/core.py @@ -0,0 +1,3924 @@ +# NOTE!!NOTE!!!NOTE!!NOTE!!!NOTE!!NOTE!!!NOTE!!NOTE!!! +# THE WORD "CHAPTER" IN THE CODE DOES NOT MEAN +# IT'S THE REAL CHAPTER OF THE EBOOK SINCE NO STANDARDS +# ARE DEFINING A CHAPTER ON .EPUB FORMAT. THE WORD "BLOCK" +# IS USED TO PRINT IT OUT TO THE TERMINAL, AND "CHAPTER" TO THE CODE +# WHICH IS LESS GENERIC FOR THE DEVELOPERS + +import argparse, asyncio, csv, fnmatch, sqlite3, hashlib, io, json, math, os, pytesseract, gc +import random, shutil, subprocess, sys, tempfile, threading, time, uvicorn, copy +import traceback, socket, unicodedata, urllib.request, uuid, zipfile, fitz, multiprocessing +import ebooklib, psutil, requests, stanza, importlib, queue, pykakasi +import regex as re, gradio as gr + +from typing import Any, Generator, Dict +from PIL import Image, ImageSequence +from tqdm import tqdm +from bs4 import BeautifulSoup, NavigableString, Tag +from collections import Counter +from collections.abc import Mapping, MutableMapping +from datetime import datetime +from ebooklib import epub +from ebooklib.epub import EpubBook +from ebooklib.epub import EpubHtml +from glob import glob +from iso639 import Lang +from markdown import markdown +from multiprocessing import Pool, cpu_count +from multiprocessing import Manager, Event +from multiprocessing.managers import DictProxy, ListProxy, SyncManager +from stanza.pipeline.core import Pipeline, DownloadMethod +from num2words2 import num2words +from pathlib import Path +from PIL import Image +from pydub import AudioSegment +from pydub.utils import mediainfo +from queue import Queue, Empty +from types import MappingProxyType +from langdetect import detect +from unidecode import unidecode +from phonemizer import phonemize +from pypinyin import pinyin, Style + +from lib.classes.subprocess_pipe import SubprocessPipe +from lib.classes.vram_detector import VRAMDetector +from lib.classes.voice_extractor import VoiceExtractor +from lib.classes.non_text_filter import NonTextFilter +#from lib.classes.redirect_console import RedirectConsole +from lib.classes.argos_translator import ArgosTranslator +from lib.classes.tts_manager import TTSManager +from lib.classes.tts_engines.common.audio import get_audiolist_duration, get_audio_duration +from lib.classes.tts_engines.common.utils import build_vtt_file + +from lib import * + +#import logging +#logging.basicConfig( +# level=logging.INFO, # DEBUG for more verbosity +# format="%(asctime)s [%(levelname)s] %(message)s" +#) + +context = None +context_tracker = None +active_sessions = None +progress_bar = None + +status_tags = { + "OVERRIDE": "override", + "DELETION": "deletion", + "READY": "ready", + "EDIT": "edit", + "SKIP": "skip", + "SWITCH": "switch", + "CONVERTING": "converting", + "END": "end", + "DISCONNECTED": "disconnected" +} + +ebook_modes = { + "SINGLE": "single", + "DIRECTORY": "directory", + "TEXT": "text" +} + +save_session_keys_except = [ + 'blocks_orig', + 'blocks_saved', + 'blocks_current' +] + +file_prefixes = { + "clone": "__", + "saved": "__saved_", + 'current': "__current_" +} + +########### Classes + +class DependencyError(Exception): + def __init__(self, message:str|None): + super().__init__(message) + print(message) + # Automatically handle the exception when it's raised + self.handle_exception() + + def handle_exception(self)->None: + # Print the full traceback of the exception + traceback.print_exc() + # Print the exception message + error = f'Caught DependencyError: {self}' + print(error) + +class SessionTracker: + def __init__(self): + self.lock = threading.Lock() + #self.blocks_autosave = AppAutosave() + #self.blocks_autosave.start() + + def start_session(self, session_id:str)->bool: + with self.lock: + if session_id not in context.sessions: + return False + session = context.get_session(session_id) + session['status'] = status_tags['READY'] + return True + + def end_session(self, session_id:str, socket_hash:str)->None: + #self.blocks_autosave.unregister(session_id) + active_sessions.discard(socket_hash) + with self.lock: + context.sessions.pop(session_id, None) + +class SessionContext: + def __init__(self): + self.manager:Manager = Manager() + self.sessions:DictProxy[str, DictProxy[str, Any]] = self.manager.dict() + self.cancellation_events = {} + + def _recursive_proxy(self, data:Any, manager:SyncManager|None)->Any: + if manager is None: + manager = self.manager + if isinstance(data, dict): + proxy_dict = manager.dict() + for key, value in data.items(): + proxy_dict[key] = self._recursive_proxy(value, manager) + return proxy_dict + elif isinstance(data, list): + proxy_list = manager.list() + for item in data: + proxy_list.append(self._recursive_proxy(item, manager)) + return proxy_list + elif isinstance(data, (str, int, float, bool, type(None))): + return data + else: + error = f'Unsupported data type: {type(data)}' + print(error) + return None + + def set_session(self, session_id:str)->Any: + self.sessions[session_id] = self._recursive_proxy({ + ####### Global settings + "id": session_id, + "script_mode": NATIVE, + "tab_id": None, + "socket_hash": None, + "session_dir": None, + "is_gui_process": False, + "free_vram_gb": 0, + "status": None, + "ticker": 0, + "cancellation_requested": False, + "ebook_mode": ebook_modes['SINGLE'], + "blocks_preview": False, + "device": default_device, + "tts_engine": default_tts_engine, + "fine_tuned": default_fine_tuned, + "model_cache": None, + "model_zs_cache": None, + "stanza_cache": None, + "system": None, + "client": None, + "language": default_language_code, + "language_iso1": None, + "translate_enabled": False, + "translate": None, + "translate_iso1": None, + "voice": None, + "voice_dir": None, + "voice_map": {}, + "ebook_selected": None, + "custom_model": None, + "custom_model_dir": None, + "output_dir": None, + "output_format": default_output_format, + "output_channel": default_output_channel, + "output_split": default_output_split, + "output_split_hours": default_output_split_hours, + ####### Xtts settings + "xtts_temperature": default_engine_settings[TTS_ENGINES['XTTS']]['temperature'], + #"xtts_codec_temperature": default_engine_settings[TTS_ENGINES['XTTS']]['codec_temperature'], + "xtts_length_penalty": default_engine_settings[TTS_ENGINES['XTTS']]['length_penalty'], + "xtts_num_beams": default_engine_settings[TTS_ENGINES['XTTS']]['num_beams'], + "xtts_repetition_penalty": default_engine_settings[TTS_ENGINES['XTTS']]['repetition_penalty'], + #"xtts_cvvp_weight": default_engine_settings[TTS_ENGINES['XTTS']]['cvvp_weight'], + "xtts_top_k": default_engine_settings[TTS_ENGINES['XTTS']]['top_k'], + "xtts_top_p": default_engine_settings[TTS_ENGINES['XTTS']]['top_p'], + "xtts_speed": default_engine_settings[TTS_ENGINES['XTTS']]['speed'], + #"xtts_gpt_cond_len": default_engine_settings[TTS_ENGINES['XTTS']]['gpt_cond_len'], + #"xtts_gpt_batch_size": default_engine_settings[TTS_ENGINES['XTTS']]['gpt_batch_size'], + "xtts_enable_text_splitting": default_engine_settings[TTS_ENGINES['XTTS']]['enable_text_splitting'], + ####### Bark settings + "bark_text_temp": default_engine_settings[TTS_ENGINES['BARK']]['text_temp'], + "bark_waveform_temp": default_engine_settings[TTS_ENGINES['BARK']]['waveform_temp'], + ####### Audiobook editor + "audiobook": None, + "audiobooks_dir": None, + ####### Ebook conversion + "ebook": None, + "ebook_src": None, + "ebook_list": None, + "ebook_textarea": None, + "ebook_textarea_src": None, + "audiobook_overridden": None, + "process_dir": None, + "chapters_dir": None, + "sentences_dir": None, + "epub_path": None, + "final_name": None, + "filename_noext": None, + "cover": None, + "blocks_orig": {}, + "blocks_saved": {}, + "blocks_current": {}, + "blocks_orig_json": None, + "blocks_saved_json": None, + "blocks_current_db": None, + "duration": 0, + "playback_time": 0, + "playback_volume": 0, + "metadata": { + "title": None, + "creator": None, + "contributor": None, + "language": None, + "identifier": None, + "publisher": None, + "date": None, + "description": None, + "subject": None, + "rights": None, + "format": None, + "type": None, + "coverage": None, + "relation": None, + "Source": None, + "Modified": None, + } + }, manager=self.manager) + return self.sessions[session_id] + + def get_session(self, session_id:str)->Any: + if session_id in self.sessions: + return self.sessions[session_id] + return {} + + def find_id_by_hash(self, socket_hash:str)->str|None: + for session_id, session in list(self.sessions.items()): + if socket_hash in session: + return session_id + return None + +class JSONDictProxyEncoder(json.JSONEncoder): + def default(self, o:Any)->Any: + if isinstance(o, DictProxy): + return dict(o) + elif isinstance(o, ListProxy): + return list(o) + return super().default(o) + +""" +class AppAutosave: + def __init__(self, interval:float=15.0): + self._interval = interval + self._sessions: set[str] = set() + self._lock = threading.Lock() + self._started = False + + def start(self)->None: + if self._started: + return + self._started = True + t = threading.Thread(target=self._timer, daemon=True) + t.start() + + def register(self, session_id:str)->None: + with self._lock: + self._sessions.add(session_id) + + def unregister(self, session_id:str)->None: + with self._lock: + self._sessions.discard(session_id) + + def _timer(self)->None: + while True: + time.sleep(self._interval) + with self._lock: + session_ids = set(self._sessions) + for session_id in session_ids: + try: + session = context.get_session(session_id) + if not session or not session.get('id', False): + with self._lock: + self._sessions.discard(session_id) + continue + except Exception as e: + logger.error(f'AppAutosave._timer({session_id}): {e}!') +""" + +############# End classes + +def prepare_dirs(session_id:str)->bool: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + resume = False + os.makedirs(os.path.join(models_dir,'tts'), exist_ok=True) + os.makedirs(session['session_dir'], exist_ok=True) + os.makedirs(session['process_dir'], exist_ok=True) + os.makedirs(session['custom_model_dir'], exist_ok=True) + os.makedirs(session['voice_dir'], exist_ok=True) + os.makedirs(session['audiobooks_dir'], exist_ok=True) + os.makedirs(session['chapters_dir'], exist_ok=True) + os.makedirs(session['sentences_dir'], exist_ok=True) + return True + except Exception as e: + DependencyError(e) + return False + +def check_programs(prog_name:str, command:str, options:str)->bool: + try: + subprocess.run( + [command, options], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + check=True, + text=True, + encoding='utf-8' + ) + return True + except FileNotFoundError: + e = f'''********** Error: {prog_name} is not installed! if your OS calibre package version + is not compatible you still can run ebook2audiobook.sh (linux/mac) or ebook2audiobook.cmd (windows) **********''' + DependencyError(e) + except subprocess.CalledProcessError: + e = f'Error: There was an issue running {prog_name}.' + DependencyError(e) + return False + +def analyze_uploaded_file(zip_path:str, required_files:list[str])->bool: + try: + if not os.path.exists(zip_path): + error = f'The file does not exist: {os.path.basename(zip_path)}' + print(error) + return False + files_in_zip = {} + empty_files = set() + with zipfile.ZipFile(zip_path, 'r') as zf: + for file_info in zf.infolist(): + file_name = file_info.filename + if file_info.is_dir(): + continue + base_name = os.path.basename(file_name) + files_in_zip[base_name] = file_info.file_size + if file_info.file_size == 0: + empty_files.add(base_name) + required_files = [file for file in required_files] + missing_files = [f for f in required_files if f not in files_in_zip] + required_empty_files = [f for f in required_files if f in empty_files] + if missing_files: + msg = f'Missing required files: {missing_files}' + print(msg) + if required_empty_files: + msg = f'Required files with 0 KB: {required_empty_files}' + print(msg) + return not missing_files and not required_empty_files + except zipfile.BadZipFile: + error = 'The file is not a valid ZIP archive.' + print(error) + return False + except Exception as e: + error = f'An error occurred: {e}' + print(error) + return False + +def extract_custom_model(session_id)->str|None: + session = context.get_session(session_id) + if session and session.get('id', False): + file_src = session['custom_model'] + required_files = default_engine_settings[session['tts_engine']]['files'] + model_path = None + model_name = re.sub('.zip', '', os.path.basename(file_src), flags=re.IGNORECASE) + model_name = get_sanitized(model_name) + try: + with zipfile.ZipFile(file_src, 'r') as zip_ref: + files = zip_ref.namelist() + files_length = len(files) + tts_dir = session['tts_engine'] + model_path = os.path.join(session['custom_model_dir'], tts_dir, model_name) + os.makedirs(model_path, exist_ok=True) + msg = f'Extracting files to {model_path}…' + with tqdm(total=files_length, unit='files') as t: + for f in files: + base_f = os.path.basename(f) + if base_f in required_files: + out_path = os.path.join(model_path, base_f) + with zip_ref.open(f) as src, open(out_path, 'wb') as dst: + shutil.copyfileobj(src, dst) + t.update(1) + if session['is_gui_process']: + progress_bar((t.n + 1) / files_length, desc=msg) + if model_path is not None: + msg = f'Normalizing ref.wav…' + print(msg) + voice_ref = os.path.join(model_path, 'ref.wav') + voice_name = model_name + final_voice_file = os.path.join(model_path, f'{voice_name}.wav') + extractor = VoiceExtractor(session, voice_ref, voice_name, final_voice_file) + status, msg = extractor.extract_voice() + if status: + session['voice'] = final_voice_file + if os.path.exists(file_src): + os.remove(file_src) + if os.path.exists(voice_ref): + os.remove(voice_ref) + return model_path + else: + error = f'extract_custom_model() VoiceExtractor.extract_voice() error! {msg}' + print(error) + else: + error = f'An error occurred when unzip {file_src}' + print(error) + except asyncio.exceptions.CancelledError as e: + DependencyError(e) + error = f'extract_custom_model asyncio.exceptions.CancelledError: {e}' + print(error) + except Exception as e: + DependencyError(e) + error = f'extract_custom_model Exception: {e}' + print(error) + if session['is_gui_process']: + if os.path.exists(file_src): + os.remove(file_src) + session['custom_model'] = None + return None + +def hash_proxy_dict(proxy_dict:Any)->str: + try: + data = {k: v for k, v in dict(proxy_dict).items() if k not in save_session_keys_except} + except Exception: + data = {} + data_str = json.dumps(data, default=str, sort_keys=True) + return hashlib.md5(data_str.encode('utf-8')).hexdigest() + +def compare_checksums(session_id:str)->tuple[bool, str|None]: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + hash_algorithm:str = 'sha256' + checksum_path = os.path.join(session['process_dir'], 'checksum') + hash_func = hashlib.new(hash_algorithm) + with open(session['ebook'], 'rb') as f: + while chunk := f.read(8192): + hash_func.update(chunk) + new_checksum = hash_func.hexdigest() + if not os.path.exists(checksum_path): + with open(checksum_path, 'w', encoding='utf-8') as f: + f.write(new_checksum) + return False, None + else: + with open(checksum_path, 'r', encoding='utf-8') as f: + saved_checksum = f.read().strip() + if saved_checksum == new_checksum: + return True, None + else: + with open(checksum_path, 'w', encoding='utf-8') as f: + f.write(new_checksum) + return False, None + error = f'compare_checksums() error: session does not exist' + return False, error + except Exception as e: + error = f'compare_checksums() error: {e}' + return False, error + +def compare_dict_keys(d1, d2): + if not isinstance(d1, Mapping) or not isinstance(d2, Mapping): + return d1 == d2 + d1_keys = set(d1.keys()) + d2_keys = set(d2.keys()) + missing_in_d2 = d1_keys - d2_keys + missing_in_d1 = d2_keys - d1_keys + if missing_in_d2 or missing_in_d1: + return { + "missing_in_d2": missing_in_d2, + "missing_in_d1": missing_in_d1, + } + for key in d1_keys.intersection(d2_keys): + nested_result = compare_keys(d1[key], d2[key]) + if nested_result: + return {key: nested_result} + return None + +def ocr2xhtml(img: Image.Image, lang:str)->tuple[str|bool, str|None]: + try: + debug = True + try: + data = pytesseract.image_to_data(img, lang=lang, output_type=pytesseract.Output.DATAFRAME) + # Handle silent OCR failures (empty or None result) + if data is None or data.empty: + error = f'Tesseract returned empty OCR data for language "{lang}".' + return False, error + except (pytesseract.TesseractError, Exception) as e: + print(f'The OCR {lang} trained model must be downloaded.') + try: + tessdata_dir = os.environ['TESSDATA_PREFIX'] + os.makedirs(tessdata_dir, exist_ok=True) + url = f'https://github.com/tesseract-ocr/tessdata_best/raw/main/{lang}.traineddata' + dest_path = os.path.join(tessdata_dir, f'{lang}.traineddata') + msg = f'Downloading {lang}.traineddata into {tessdata_dir}…' + print(msg) + response = requests.get(url, timeout=15) + if response.status_code == 200: + with open(dest_path, 'wb') as f: + f.write(response.content) + msg = f'Downloaded and installed {lang}.traineddata successfully.' + print(msg) + data = pytesseract.image_to_data(img, lang=lang, output_type=pytesseract.Output.DATAFRAME) + if data is None or data.empty: + error = f'Tesseract returned empty OCR data even after downloading {lang}.traineddata.' + return False, error + else: + error = f'Failed to download traineddata for {lang} (HTTP {response.status_code})' + return False, error + except Exception as e: + error = f'Automatic download failed: {e}' + return False, error + data = data.dropna(subset=['text']) + lines = [] + last_block = None + for _, row in data.iterrows(): + text = row['text'].strip() + if not text: + continue + block = row['block_num'] + if last_block is not None and block != last_block: + lines.append('') # blank line between blocks + lines.append(text) + last_block = block + joined = '\n'.join(lines) + raw_lines = [l.strip() for l in joined.split('\n')] + # Normalize line breaks + merged_lines = [] + buffer = '' + for i, line in enumerate(raw_lines): + if not line: + if buffer: + merged_lines.append(buffer.strip()) + buffer = '' + continue + if buffer and not buffer.endswith(('.', '?', '!', ':')) and not line[0].isupper(): + buffer += ' ' + line + else: + if buffer: + merged_lines.append(buffer.strip()) + buffer = line + if buffer: + merged_lines.append(buffer.strip()) + # Detect heading-like lines + xhtml_parts = [] + debug_dump = [] + for i, p in enumerate(merged_lines): + is_heading = False + if p.isupper() and len(p.split()) <= 8: + is_heading = True + elif len(p.split()) <= 5 and p.istitle(): + is_heading = True + elif (i == 0 or (i > 0 and merged_lines[i-1] == '')) and len(p.split()) <= 10: + is_heading = True + if is_heading: + xhtml_parts.append(f'

{p}

') + debug_dump.append(f'[H2] {p}') + else: + xhtml_parts.append(f'

{p}

') + debug_dump.append(f'[P ] {p}') + if debug: + print('=== OCR DEBUG OUTPUT ===') + for line in debug_dump: + print(line) + print('========================') + return '\n'.join(xhtml_parts), None + except Exception as e: + DependencyError(e) + error = f'ocr2xhtml error: {e}' + return False, error + +def create_db_blocks(db_path:str)->None: + os.makedirs(os.path.dirname(db_path) or '.', exist_ok=True) + with sqlite3.connect(db_path) as conn: + conn.execute('PRAGMA journal_mode=WAL') + conn.execute('PRAGMA synchronous=NORMAL') + conn.execute('PRAGMA foreign_keys=ON') + conn.executescript(''' + CREATE TABLE IF NOT EXISTS stamp ( + id INTEGER PRIMARY KEY CHECK (id = 1), + page INTEGER, + block_resume INTEGER, + sentence_resume INTEGER, + voice TEXT, + tts_engine TEXT, + fine_tuned TEXT + ); + CREATE TABLE IF NOT EXISTS blocks ( + id TEXT PRIMARY KEY, + idx INTEGER NOT NULL, + expand INTEGER NOT NULL, + keep INTEGER NOT NULL, + text TEXT NOT NULL, + voice TEXT, + tts_engine TEXT, + fine_tuned TEXT + ); + CREATE TABLE IF NOT EXISTS sentences ( + block_id TEXT NOT NULL, + idx INTEGER NOT NULL, + text TEXT NOT NULL, + PRIMARY KEY (block_id, idx), + FOREIGN KEY (block_id) REFERENCES blocks(id) ON DELETE CASCADE + ); + CREATE INDEX IF NOT EXISTS idx_blocks_idx ON blocks(idx); + INSERT OR IGNORE INTO stamp (id, page, block_resume, sentence_resume, voice, tts_engine, fine_tuned) + VALUES (1, 0, 0, 0, NULL, NULL, NULL); + ''') + +def load_db_blocks(db_path:str)->dict: + try: + if not os.path.exists(db_path): + return {} + with sqlite3.connect(db_path) as conn: + conn.execute('PRAGMA foreign_keys=ON') + stamp_row = conn.execute( + 'SELECT page, block_resume, sentence_resume, voice, tts_engine, fine_tuned FROM stamp WHERE id=1' + ).fetchone() + if stamp_row is None: + return {} + page, block_resume, sentence_resume, voice, tts_engine, fine_tuned = stamp_row + sentences_by_block = {} + for block_id, text in conn.execute('SELECT block_id, text FROM sentences ORDER BY block_id, idx'): + sentences_by_block.setdefault(block_id, []).append(text) + blocks = [] + for row in conn.execute('SELECT id, expand, keep, text, voice, tts_engine, fine_tuned FROM blocks ORDER BY idx'): + bid, expand, keep, text, b_voice, b_tts_engine, b_fine_tuned = row + blocks.append({ + 'id': bid, + 'expand': bool(expand), + 'keep': bool(keep), + 'text': text, + 'voice': b_voice, + 'tts_engine': b_tts_engine, + 'fine_tuned': b_fine_tuned, + 'sentences': sentences_by_block.get(bid, []), + }) + return { + 'page': page, + 'block_resume': block_resume, + 'sentence_resume': sentence_resume, + 'voice': voice, + 'tts_engine': tts_engine, + 'fine_tuned': fine_tuned, + 'blocks': blocks, + } + except Exception as e: + error = f'load_db_blocks() error: {e}' + print(error) + return {} + +def save_db_stamp(session_id:str)->None: + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return + data = session['blocks_current'] + if not data: + return + db_path = session['blocks_current_db'] + create_db_blocks(db_path) + with sqlite3.connect(db_path) as conn: + conn.execute( + 'UPDATE stamp SET page=?, block_resume=?, sentence_resume=?, voice=?, tts_engine=?, fine_tuned=? WHERE id=1', + ( + data.get('page'), + data.get('block_resume'), + data.get('sentence_resume'), + data.get('voice'), + data.get('tts_engine'), + data.get('fine_tuned'), + ) + ) + conn.commit() + except Exception as e: + error = f'save_db_stamp() error: {e}' + print(error) + +def save_db_blocks(session_id:str)->None: + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return + data = session['blocks_current'] + if not data: + return + db_path = session['blocks_current_db'] + create_db_blocks(db_path) + with sqlite3.connect(db_path) as conn: + conn.execute('PRAGMA foreign_keys=ON') + conn.execute( + 'UPDATE stamp SET page=?, block_resume=?, sentence_resume=?, voice=?, tts_engine=?, fine_tuned=? WHERE id=1', + ( + data.get('page'), + data.get('block_resume'), + data.get('sentence_resume'), + data.get('voice'), + data.get('tts_engine'), + data.get('fine_tuned'), + ) + ) + new_blocks = data.get('blocks', []) + new_ids = {b['id'] for b in new_blocks} + existing_ids = {row[0] for row in conn.execute('SELECT id FROM blocks')} + removed = existing_ids - new_ids + if removed: + conn.executemany('DELETE FROM blocks WHERE id=?', [(rid,) for rid in removed]) + for idx, block in enumerate(new_blocks): + block_id = block['id'] + conn.execute( + 'INSERT INTO blocks (id, idx, expand, keep, text, voice, tts_engine, fine_tuned) ' + 'VALUES (?, ?, ?, ?, ?, ?, ?, ?) ' + 'ON CONFLICT(id) DO UPDATE SET ' + 'idx=excluded.idx, expand=excluded.expand, keep=excluded.keep, text=excluded.text, ' + 'voice=excluded.voice, tts_engine=excluded.tts_engine, fine_tuned=excluded.fine_tuned', + ( + block_id, + idx, + 1 if block.get('expand') else 0, + 1 if block.get('keep') else 0, + block.get('text', ''), + block.get('voice'), + block.get('tts_engine'), + block.get('fine_tuned'), + ) + ) + conn.execute('DELETE FROM sentences WHERE block_id=?', (block_id,)) + sentences = block.get('sentences', []) + if sentences: + conn.executemany( + 'INSERT INTO sentences (block_id, idx, text) VALUES (?, ?, ?)', + [(block_id, i, s) for i, s in enumerate(sentences)] + ) + conn.commit() + except Exception as e: + error = f'save_db_blocks() error: {e}' + print(error) + +def load_json_blocks(filepath:str)->dict: + try: + with open(filepath, "r", encoding="utf-8") as f: + return json.load(f) + except Exception as e: + error = f"load_json_blocks() error: {e}" + print(error) + return {} + +def save_json_blocks(session_id:str, key:str)->None: + try: + session = context.get_session(session_id) + if (session and session.get('id', False)): + json_data = session[key] + json_path = session[f'{key}_json'] + with open(json_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + except Exception as e: + print(f'save_json_blocks() error: {e}') + +def sync_globals_to_blocks(session_id:str)->None: + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return + blocks_current = session.get('blocks_current') or {} + anchor_voice = blocks_current.get('voice') + current_voice = session.get('voice') + if anchor_voice == current_voice: + return + changed = False + for block in blocks_current.get('blocks', []): + if block.get('voice') == anchor_voice: + block['voice'] = current_voice + changed = True + blocks_current['voice'] = current_voice + session['blocks_current'] = blocks_current + except Exception as e: + exception_alert(session_id, f'sync_globals_to_blocks(): {e}') + +def normalize_epub_zip(session_id:str, file_input:str)->str|None: + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return None + with zipfile.ZipFile(file_input, 'r') as zf: + names = [n for n in zf.namelist() if n and not n.endswith('/')] + epubs = [n for n in names if n.lower().endswith('.epub')] + if len(epubs) > 1: + msg = f'Unsupported ZIP ebook wrapper: expected one nested .epub file, found {len(epubs)}' + print(msg) + return None + nested_epub = epubs[0] if epubs else None + if nested_epub: + # case 1 - a real .epub FILE sits inside the zip, just extract it verbatim + target_name = f'{get_sanitized(Path(nested_epub).stem)}.epub' + target_path = os.path.join(os.path.dirname(file_input), target_name) + with open(target_path, 'wb') as out: + out.write(zf.read(nested_epub)) + else: + # case 2/3 - epub contents are at root or under a single top dir + root_mimetype = 'mimetype' in names + prefix = '' + if not root_mimetype: + dirs = {n.split('/', 1)[0] for n in names if '/' in n} + cands = [d for d in dirs if f'{d}/mimetype' in names and f'{d}/META-INF/container.xml' in names] + if len(cands) != 1: + msg = f'Unsupported ZIP ebook wrapper: expected one EPUB root, found {len(cands)}' + print(msg) + return None + prefix = cands[0] + stem = Path(prefix).stem if prefix else Path(file_input).stem + target_name = f'{get_sanitized(stem)}.epub' + target_path = os.path.join(os.path.dirname(file_input), target_name) + strip = f'{prefix}/' if prefix else '' + members = [n for n in names if n.startswith(strip)] + mimetype_name = f'{strip}mimetype' + if mimetype_name not in members: + msg = 'Unsupported ZIP ebook wrapper: no mimetype entry' + print(msg) + return None + with zipfile.ZipFile(target_path, 'w') as out: + mt = zipfile.ZipInfo('mimetype') + mt.compress_type = zipfile.ZIP_STORED + out.writestr(mt, zf.read(mimetype_name)) + for name in members: + if name == mimetype_name: + continue + arcname = name[len(strip):] + if not arcname: + continue + out.writestr(arcname, zf.read(name), zipfile.ZIP_DEFLATED) + session = context.get_session(session_id) + session['ebook'] = target_path + session['filename_noext'] = os.path.splitext(os.path.basename(target_path))[0] + session['epub_path'] = os.path.join(session['process_dir'], f"__{session['filename_noext']}.epub") + msg = f'Normalized EPUB package ZIP: {Path(file_input).name} -> {Path(target_path).name}' + print(msg) + return target_path + except zipfile.BadZipFile: + error = f'Unsupported ZIP ebook wrapper: bad ZIP file {file_input}' + print(error) + except Exception as e: + error = f'normalize_epub_zip(): {e}' + exception_alert(session_id, error) + return None + +def convert2epub(session_id:str)->bool: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['cancellation_requested']: + return False + try: + title = False + author = False + ebook_convert = shutil.which('ebook-convert') + if not ebook_convert: + error = 'ebook-convert utility is not installed or not found.' + print(error) + return False + file_input = session['ebook'] + if os.path.getsize(file_input) == 0: + error = f'Input file is empty: {file_input}' + print(error) + return False + file_ext = os.path.splitext(file_input)[1].lower() + if file_ext not in ebook_formats: + error = f'Unsupported file format: {file_ext}' + print(error) + return False + if file_ext == '.zip': + file_input = normalize_epub_zip(session_id, file_input) + if file_input is None: + return False + file_ext = '.epub' + if file_ext == '.txt': + with open(file_input, 'r', encoding='utf-8') as f: + text = f.read() + text = text.replace('\r\n', '\n') + text = re.sub(r'\n{2,}', f".{TTS_SML['pause']['static']}", text) + with open(file_input, 'w', encoding='utf-8') as f: + f.write(text) + elif file_ext == '.pdf': + msg = 'File input is a PDF. flatten it in XHTML…' + print(msg) + doc = fitz.open(file_input) + file_meta = doc.metadata + filename_noext = os.path.splitext(os.path.basename(session['ebook']))[0] + title = file_meta.get('title') or filename_noext + author = file_meta.get('author') or False + xhtml_pages = [] + for i, page in enumerate(doc): + has_text = page.get_text('text').strip() + if has_text: + try: + xhtml_content = page.get_text('xhtml').strip() + except Exception as e: + print(f'Error extracting text from page {i+1}: {e}') + xhtml_content = '' + error = None + else: + xhtml_content = '' + error = None + if not xhtml_content: + msg = f'The page {i+1} seems to be image-based. Using OCR…' + show_alert(session_id, {"type": "warning", "msg": msg}) + pix = page.get_pixmap(dpi=300) + img = Image.open(io.BytesIO(pix.tobytes('png'))) + xhtml_content, error = ocr2xhtml(img, session['language']) + if xhtml_content: + xhtml_pages.append(xhtml_content) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + if xhtml_pages: + xhtml_body = '\n'.join(xhtml_pages) + xhtml_text = ( + '\n' + '\n' + '\n' + f'\n{title}\n' + '\n' + '\n' + f'{xhtml_body}\n' + '\n' + '\n' + ) + file_input = os.path.join(session['process_dir'], f'{filename_noext}.xhtml') + with open(file_input, 'w', encoding='utf-8') as html_file: + html_file.write(xhtml_text) + else: + return False + elif file_ext == '.pptx': + from html import escape as html_escape + from pptx import Presentation as PptxPresentation + filename_noext = os.path.splitext(os.path.basename(session['ebook']))[0] + msg = f'File input is a presentation ({file_ext}). Extracting content…' + print(msg) + prs = PptxPresentation(file_input) + title = prs.core_properties.title or filename_noext + author = prs.core_properties.author or False + xhtml_pages = [] + for i, slide in enumerate(prs.slides): + slide_texts = [] + slide_images = [] + for shape in slide.shapes: + if shape.has_text_frame: + for para in shape.text_frame.paragraphs: + text = para.text.strip() + if text: + slide_texts.append(text) + if shape.has_table: + for row in shape.table.rows: + row_texts = [c.text.strip() for c in row.cells if c.text.strip()] + if row_texts: + slide_texts.append(' | '.join(row_texts)) + try: + slide_images.append(shape.image.blob) + except (AttributeError, ValueError): + pass + if slide_texts: + xhtml_content = '\n'.join(f'

{html_escape(t)}

' for t in slide_texts) + elif slide_images: + msg = f'Slide {i+1} seems to be image-based. Using OCR…' + show_alert(session_id, {"type": "warning", "msg": msg}) + xhtml_parts = [] + for blob in slide_images: + img = Image.open(io.BytesIO(blob)) + xhtml_content, error = ocr2xhtml(img, session['language']) + if xhtml_content: + xhtml_parts.append(xhtml_content) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + xhtml_content = '\n'.join(xhtml_parts) if xhtml_parts else '' + else: + xhtml_content = '' + if xhtml_content: + xhtml_pages.append(xhtml_content) + if xhtml_pages: + xhtml_body = '\n'.join(xhtml_pages) + xhtml_text = ( + '\n' + '\n' + '\n' + f'\n{title}\n' + '\n' + '\n' + f'{xhtml_body}\n' + '\n' + '\n' + ) + file_input = os.path.join(session['process_dir'], f'{filename_noext}.xhtml') + with open(file_input, 'w', encoding='utf-8') as html_file: + html_file.write(xhtml_text) + else: + return False + elif file_ext == '.docx': + from docx import Document as DocxDocument + filename_noext = os.path.splitext(os.path.basename(session['ebook']))[0] + docx_doc = DocxDocument(file_input) + all_text = ''.join(p.text.strip() for p in docx_doc.paragraphs) + if not all_text: + for table in docx_doc.tables: + for row in table.rows: + for cell in row.cells: + all_text += cell.text.strip() + if all_text: + break + if all_text: + break + if all_text: + break + if not all_text: + msg = f'File input is a DOCX with no extractable text. Extracting images for OCR…' + print(msg) + title = docx_doc.core_properties.title or filename_noext + author = docx_doc.core_properties.author or False + xhtml_pages = [] + for rel in docx_doc.part.rels.values(): + if 'image' in rel.reltype: + try: + img = Image.open(io.BytesIO(rel.target_part.blob)) + xhtml_content, error = ocr2xhtml(img, session['language']) + if xhtml_content: + xhtml_pages.append(xhtml_content) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + except Exception as e: + print(f'Error processing embedded image: {e}') + if xhtml_pages: + xhtml_body = '\n'.join(xhtml_pages) + xhtml_text = ( + '\n' + '\n' + '\n' + f'\n{title}\n' + '\n' + '\n' + f'{xhtml_body}\n' + '\n' + '\n' + ) + file_input = os.path.join(session['process_dir'], f'{filename_noext}.xhtml') + with open(file_input, 'w', encoding='utf-8') as html_file: + html_file.write(xhtml_text) + else: + return False + elif file_ext in ['.png', '.jpg', '.jpeg', '.tif', '.tiff', '.bmp']: + filename_noext = os.path.splitext(os.path.basename(session['ebook']))[0] + msg = f'File input is an image ({file_ext}). Running OCR…' + print(msg) + img = Image.open(file_input) + xhtml_pages = [] + page_count = 0 + for i, frame in enumerate(ImageSequence.Iterator(img)): + page_count += 1 + frame = frame.convert('RGB') + xhtml_content, error = ocr2xhtml(frame, session['language']) + if xhtml_content: + xhtml_pages.append(xhtml_content) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + if xhtml_pages: + xhtml_body = '\n'.join(xhtml_pages) + xhtml_text = ( + '\n' + '\n' + '\n' + f'\n{filename_noext}\n' + '\n' + '\n' + f'{xhtml_body}\n' + '\n' + '\n' + ) + file_input = os.path.join(session['process_dir'], f'{filename_noext}.xhtml') + with open(file_input, 'w', encoding='utf-8') as html_file: + html_file.write(xhtml_text) + print(f'OCR completed for {page_count} image page(s).') + else: + return False + msg = f"Running command: {ebook_convert} {file_input} {session['epub_path']}" + print(msg) + cmd = [ + ebook_convert, file_input, session['epub_path'], + '--input-encoding=utf-8', + '--output-profile=generic_eink', + '--flow-size=0', + '--chapter-mark=pagebreak', + '--page-breaks-before', + "//*[name()='h1' or name()='h2' or name()='h3' or name()='h4' or name()='h5']", + '--disable-font-rescaling', + '--pretty-print', + '--smarten-punctuation', + '--verbose' + ] + if title: + cmd += ['--title', title] + if author: + cmd += ['--authors', author] + result = subprocess.run( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + text=True, + encoding='utf-8' + ) + print(result.stdout) + return True + except subprocess.CalledProcessError as e: + DependencyError(e) + error = f'convert2epub subprocess.CalledProcessError: {e.stderr}' + print(error) + return False + except FileNotFoundError as e: + DependencyError(e) + error = f'convert2epub FileNotFoundError: {e}' + print(error) + return False + except Exception as e: + DependencyError(e) + error = f'convert2epub error: {e}' + print(error) + return False + +def get_ebook_title(epubBook:EpubBook, all_docs:list[Any])->str|None: + # 1. Try metadata (official EPUB title) + meta_title = epubBook.get_metadata('DC','title') + if meta_title and meta_title[0][0].strip(): + return meta_title[0][0].strip() + # 2. Try in the head of the first XHTML document + if all_docs: + html = all_docs[0].get_content().decode('utf-8') + soup = BeautifulSoup(html,'html.parser') + title_tag = soup.select_one('head > title') + if title_tag and title_tag.text.strip(): + return title_tag.text.strip() + # 3. Try <img alt = '…'> if no visible <title> + img = soup.find('img',alt = True) + if img: + alt = img['alt'].strip() + if alt and 'cover' not in alt.lower(): + return alt + return None + +def get_cover(epubBook:EpubBook, session_id:str)->bool|str: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['cancellation_requested']: + return False + cover_image = None + cover_path = os.path.join(session['process_dir'], session['filename_noext'] + '.jpg') + for item in epubBook.get_items_of_type(ebooklib.ITEM_COVER): + cover_image = item.get_content() + break + if not cover_image: + for item in epubBook.get_items_of_type(ebooklib.ITEM_IMAGE): + if 'cover' in item.file_name.lower() or 'cover' in item.get_id().lower(): + cover_image = item.get_content() + break + if cover_image: + # Open the image from bytes + image = Image.open(io.BytesIO(cover_image)) + # Convert to RGB if needed (JPEG doesn't support alpha) + if image.mode in ('RGBA', 'P'): + image = image.convert('RGB') + image.save(cover_path, format = 'JPEG') + return cover_path + return True + except Exception as e: + DependencyError(e) + return False + +def get_blocks(session_id:str, epubBook:EpubBook)->list: + try: + msg = r''' +******************************************************************************* +NOTE: +The warning "Character xx not found in the vocabulary." +MEANS THE MODEL CANNOT INTERPRET THE CHARACTER AND WILL MAYBE GENERATE +(AS WELL AS WRONG PUNCTUATION POSITION) AN HALLUCINATION. THE BEST SOLUTION IS +TO MANUALLY REMOVE ALL UNRECOGNIZED CHARS AND WRONG PUNCTUATIONS FROM YOUR EBOOK +AND RESTART THE CONVERSION. TO IMPROVE THIS MODEL, IT NEEDS TO ADD THIS CHARACTER +INTO A NEW TRAINING MODEL. YOU CAN IMPROVE IT OR ASK TO A TRAINING MODEL EXPERT. +******************************************************************************* + ''' + print(msg) + session = context.get_session(session_id) + if session and session.get('id', False): + if session['cancellation_requested']: + return [] + # Step 1: Extract TOC (Table of Contents) + try: + toc = epubBook.toc + toc_list = [ + nt for item in toc if hasattr(item, 'title') + if (nt := normalize_text(str(item.title), session['language'], session['language_iso1'], session['tts_engine'])) is not None + ] + except Exception as toc_error: + error = f'Error extracting Table of Content: {toc_error}' + show_alert(session_id, {"type": "warning", "msg": error}) + # Get spine item IDs + spine_ids = [item[0] for item in epubBook.spine] + # Filter only spine documents (i.e., reading order) + all_docs = [ + item for item in epubBook.get_items_of_type(ebooklib.ITEM_DOCUMENT) + if item.id in spine_ids + ] + if not all_docs: + error = 'No document body found!' + print(error) + return [] + title = get_ebook_title(epubBook, all_docs) + blocks = [] + stanza_nlp = False + if session['language'] in year_to_decades_languages: + try: + stanza_model = f"stanza-{session['language_iso1']}" + stanza_nlp = loaded_tts.get(stanza_model, False) + if stanza_nlp: + msg = f"NLP model {stanza_model} loaded." + print(msg) + else: + use_gpu = True if ( + (session['device'] == devices['CUDA']['proc'] and devices['CUDA']['found']) or + (session['device'] == devices['ROCM']['proc'] and devices['ROCM']['found']) or + (session['device'] == devices['XPU']['proc'] and devices['XPU']['found']) or + (session['device'] == devices['JETSON']['proc'] and devices['JETSON']['found']) + ) else False + # only use mwt if the language supports it + stanza_lang = session['language_iso1'] + stanza_has_mwt = False + try: + stanza_resources = stanza.resources.common.load_resources_json(os.getenv('STANZA_RESOURCES_DIR', stanza.resources.common.DEFAULT_MODEL_DIR)) + stanza_has_mwt = 'mwt' in stanza_resources.get(stanza_lang, {}) + except Exception: + pass + stanza_processors = 'tokenize,mwt,ner' if stanza_has_mwt else 'tokenize,ner' + stanza_nlp = stanza.Pipeline(stanza_lang, processors=stanza_processors, use_gpu=use_gpu, download_method=DownloadMethod.REUSE_RESOURCES, dir=os.getenv('STANZA_RESOURCES_DIR')) + if stanza_nlp: + session['stanza_cache'] = stanza_model + loaded_tts[stanza_model] = stanza_nlp + msg = f"NLP model {stanza_model} loaded!" + print(msg) + except (ConnectionError, TimeoutError) as e: + error = f'Stanza model download connection error: {e}. Retry later' + print(error) + return [] + except Exception as e: + error = f'Stanza model initialization error: {e}' + print(error) + return [] + is_num2words_compat = get_num2words_compat(session['language_iso1']) + non_text_filter = NonTextFilter(sml_pattern=SML_TAG_PATTERN, lang=session['language']) + try: + with zipfile.ZipFile(session['epub_path'], 'r') as zf: + zip_names = set(zf.namelist()) + zip_basenames = {os.path.basename(n): n for n in zip_names} + for doc_idx, doc in enumerate(all_docs): + text = filter_blocks(session_id, doc_idx, doc, stanza_nlp, is_num2words_compat, non_text_filter, zf, zip_names, zip_basenames) + if text is None: + error = f'Error extracting content from document #{doc_idx + 1}; aborting conversion to avoid partial output.' + show_alert(session_id, {"type": "warning", "msg": error}) + return [] + blocks.append(text) + finally: + if stanza_nlp: + import gc, torch + try: + cache_key = session.get('stanza_cache') + if cache_key: + loaded_tts.pop(cache_key, None) + session['stanza_cache'] = None + except Exception: + pass + stanza_nlp = None + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + if len(blocks) == 0: + error = 'No blocks found! possible reason: file corrupted or need to convert images to text with OCR' + print(error) + return [] + return blocks + return [] + except Exception as e: + error = f'Error extracting main content pages: {e}' + DependencyError(error) + return [] + +def filter_blocks(session_id:str, idx:int, doc:EpubHtml, stanza_nlp:Pipeline, is_num2words_compat:bool, non_text_filter:NonTextFilter, zf:zipfile.ZipFile=None, zip_names:set=None, zip_basenames:dict=None)->str|None: + + def _tuple_row(node:Any, last_text_char:str|None=None, in_heading:bool=False)->Generator[tuple[str, Any], None, None]|None: + try: + prev_child_had_data = False + for idx, child in enumerate(node.children): + current_child_had_data = False + if isinstance(child, NavigableString): + text = child.strip() + if text: + # Only add break if not inside a heading and previous had data + if prev_child_had_data and not in_heading: + yield ('break', sml_token("break")) + # Yield as heading if inside heading, else text + yield ('heading' if in_heading else 'text', text) + last_text_char = text[-1] + current_child_had_data = True + elif isinstance(child, Tag): + name = child.name.lower() + if name in heading_tags: + # Process heading tag and all its children as heading content + title = child.get_text(strip=True) + if title: + # Add break before heading if needed (only if not already in heading) + if prev_child_had_data and not in_heading: + yield ('break', sml_token("break")) + # Always process heading children recursively to handle nested elements + for inner in _tuple_row(child, last_text_char, in_heading=True): + yield inner + # After finishing the heading, yield a pause marker + yield ('pause', sml_token("pause")) + last_text_char = title[-1] + current_child_had_data = True + elif name == 'table': + if prev_child_had_data and not in_heading: + yield ('break', sml_token("break")) + yield ('table', child) + current_child_had_data = True + else: + return_data = False + if name in proc_tags: + is_header = False + # Add break before processing tag content if needed + if prev_child_had_data and name in break_tags and not in_heading: + yield ('break', sml_token("break")) + for inner in _tuple_row(child, last_text_char, in_heading=in_heading): + return_data = True + yield inner + if len(inner) > 1 and isinstance(inner[1], str) and inner[1]: + last_text_char = inner[1][-1] + current_child_had_data = True + if inner[0] in ('text', 'heading') and isinstance(inner[1], str) and inner[1]: + is_header = True + if return_data: + if name in break_tags and name != 'span' and not in_heading: + if is_header or (last_text_char and not last_text_char.isalnum() and not last_text_char.isspace()): + yield ('break', sml_token("break")) + elif name in pause_tags and not in_heading: + yield ('pause', sml_token("pause")) + else: + yield from _tuple_row(child, last_text_char, in_heading=in_heading) + current_child_had_data = True + if current_child_had_data: + prev_child_had_data = True + except Exception as e: + error = f'filter_blocks() _tuple_row() error: {e}' + DependencyError(error) + return None + + def _num_repl(m): + s = m.group(0) + # leave years alone (already handled above) + if re.fullmatch(r"\d{4}", s): + return s + n = float(s) if '.' in s else int(s) + if is_num2words_compat: + return num2words(n, lang=(lang_iso1 or 'en')) + else: + return math2words(m, lang, lang_iso1, tts_engine, is_num2words_compat) + + try: + msg = f'----------\nParsing doc {idx}' + print(msg) + session = context.get_session(session_id) + if session and session.get('id', False): + lang, lang_iso1, tts_engine = session['language'], session['language_iso1'], session['tts_engine'] + heading_tags = [f'h{i}' for i in range(1, 5)] + break_tags = ['br', 'p', 'span'] + pause_tags = ['div'] + proc_tags = heading_tags + break_tags + pause_tags + doc_body = doc.get_body_content() + raw_html = doc_body.decode('utf-8') if isinstance(doc_body, bytes) else doc_body + soup = BeautifulSoup(raw_html, 'html.parser') + body = soup.body + if not body: + msg = 'No body found. Skip to next doc…' + print(msg) + return '' + # Skip known non-chapter types + epub_type = body.get('epub:type', '').lower() + if not epub_type: + section_tag = soup.find('section') + if section_tag: + epub_type = section_tag.get('epub:type', '').lower() + excluded = { + 'frontmatter', 'backmatter', 'toc', 'titlepage', 'colophon', + 'acknowledgments', 'dedication', 'glossary', 'index', + 'appendix', 'bibliography', 'copyright-page', 'landmark' + } + if any(part in epub_type for part in excluded): + msg = 'No body part. Skip to next doc…' + print(msg) + return '' + # remove scripts/styles + for tag in soup(['script', 'style']): + tag.decompose() + if not body.get_text(strip=True): + images = body.find_all('img') + body.find_all('image') + if images and zf: + msg = f'Doc {idx}: no text but {len(images)} image(s) detected. Running OCR…' + show_alert(session_id, {"type": "info", "msg": msg}) + ocr_parts = [] + doc_dir = os.path.dirname(doc.get_name()) + for img_tag in images: + img_ref = ( + img_tag.get('src') + or img_tag.get('href') + or img_tag.get('{http://www.w3.org/1999/xlink}href') + or img_tag.get('xlink:href') + ) + if not img_ref: + continue + img_zip_path = os.path.normpath(os.path.join(doc_dir, img_ref)).replace('\\', '/') + if img_zip_path not in zip_names: + img_zip_path = zip_basenames.get(os.path.basename(img_ref)) + if not img_zip_path: + print(f'Could not resolve image in EPUB: {img_ref}') + continue + try: + img_data = zf.read(img_zip_path) + img = Image.open(io.BytesIO(img_data)) + img = img.convert('RGB') + xhtml_content, error = ocr2xhtml(img, lang) + if xhtml_content: + ocr_parts.append(xhtml_content) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + except Exception as ocr_err: + print(f'OCR error on {img_zip_path}: {ocr_err}') + tuples_list = list(_tuple_row(body)) + if not tuples_list: + msg = 'No body text and no images found. Skip to next doc…' + print(msg) + return '' + msg = f'Parsing xhtml markers…' + print(msg) + text_list = [] + handled_tables = set() + prev_typ = None + for typ, payload in tuples_list: + if typ == 'heading': + text_list.append(payload.strip()) + elif typ in ('break', 'pause'): + # Original logic: add token if different from previous type + if prev_typ != typ: + token = sml_token(typ) + if text_list and text_list[-1] not in {v['static'] for v in TTS_SML.values() if 'static' in v}: + sep = '; ' if prev_typ == 'heading' else '' + text_list[-1] = text_list[-1] + sep + token + else: + text_list.append(token) + elif typ == 'table': + table = payload + if table in handled_tables: + prev_typ = typ + continue + handled_tables.add(table) + rows = table.find_all('tr') + if not rows: + prev_typ = typ + continue + headers = [c.get_text(strip=True) for c in rows[0].find_all(['td', 'th'])] + for row in rows[1:]: + cells = [c.get_text(strip=True).replace('\xa0', ' ') for c in row.find_all('td')] + if not cells: + continue + if len(cells) == len(headers) and headers: + line = ' — '.join(f'{h}: {c}' for h, c in zip(headers, cells)) + else: + line = ' — '.join(cells) + if line: + text_list.append(line.strip()) + else: + text = payload.strip() + if text: + text_list.append(text) + prev_typ = typ + msg = f'Flattening as raw text…' + print(msg) + max_chars = int(language_mapping[lang]['max_chars'] / 1.5) + clean_list = [] + i = 0 + while i < len(text_list): + current = text_list[i] + if current in {v['static'] for v in TTS_SML.values() if "static" in v}: + if clean_list: + prev = clean_list[-1] + if prev in {v['static'] for v in TTS_SML.values() if "static" in v}: + i += 1 + continue + clean_list.append(current) + i += 1 + continue + clean_list.append(current) + i += 1 + text = ' '.join(clean_list) + if not re.search(r"[^\W_]", text): + error = 'No valid text found!' + print(error) + return None + # clean SML tags badly coded + res, text = normalize_sml_tags(text) + if res is False: + show_alert(session_id, {"type": "warning", "msg": text}) + return None + # remove any [break] between words or cutting words + break_token = re.escape(sml_token('break')) + strip_break_spaces_re = re.compile(rf'\s*{break_token}\s*') + break_between_alnum_re = re.compile(rf'(?<=[\w]){break_token}(?=[\w])', flags=re.UNICODE) + text = strip_break_spaces_re.sub(sml_token('break'), text) + text = break_between_alnum_re.sub(' ', text) + # strip non-prose content; preserves math signs for math2words + text = non_text_filter(text) + # escape all SML tags to not be touched by any text treatment + text, sml_blocks = escape_sml(text) + if stanza_nlp: + msg = 'Converting dates and years to words…' + print(msg) + re_ordinal = re.compile( + r'(?<!\w)(0?[1-9]|[12][0-9]|3[01])(?:\s|\u00A0)*(?:st|nd|rd|th)(?!\w)', + re.IGNORECASE + ) + re_num = re.compile(r'(?<!\w)[-+]?\d+(?:\.\d+)?(?!\w)') + text = unicodedata.normalize('NFKC', text).replace('\u00A0', ' ') + re_year = re.compile(r'\b(?:1[0-9]|20)\d{2}\b') + if re_num.search(text) and (re_ordinal.search(text) or re_year.search(text)): + date_spans = get_date_entities(text, stanza_nlp) + if date_spans: + result = [] + last_pos = 0 + for start, end, date_text in date_spans: + result.append(text[last_pos:start]) + # 1) convert 4-digit years (your original behavior) + processed = re.sub( + r"\b\d{4}\b", + lambda m: year2words(m.group(), lang, lang_iso1, is_num2words_compat), + date_text + ) + # 2) convert ordinal days like "16th"/"16 th"->"sixteenth" + if is_num2words_compat: + processed = re_ordinal.sub( + lambda m: num2words(int(m.group(1)), to='ordinal', lang=(lang_iso1 or 'en')), + processed + ) + else: + processed = re_ordinal.sub( + lambda m: math2words(m.group(), lang, lang_iso1, tts_engine, is_num2words_compat), + processed + ) + # 3) convert other numbers (skip 4-digit years) + processed = re_num.sub(_num_repl, processed) + result.append(processed) + last_pos = end + result.append(text[last_pos:]) + text = ' '.join(result) + else: + if is_num2words_compat: + text = re_ordinal.sub( + lambda m: num2words(int(m.group(1)), to='ordinal', lang=(lang_iso1 or 'en')), + text + ) + else: + text = re_ordinal.sub( + lambda m: math2words(int(m.group(1)), lang, lang_iso1, tts_engine, is_num2words_compat), + text + ) + text = re.sub( + r"\b\d{4}\b", + lambda m: year2words(m.group(), lang, lang_iso1, is_num2words_compat), + text + ) + msg = 'Convert romans to numbers…' + print(msg) + text = roman2number(text) + msg = 'Convert time to words…' + print(msg) + text = clock2words(text, lang, lang_iso1, tts_engine, is_num2words_compat) + msg = 'Convert numbers, maths signs to words…' + print(msg) + text = math2words(text, lang, lang_iso1, tts_engine, is_num2words_compat) + msg = 'Normalize text…' + print(msg) + text = normalize_text(text, lang, lang_iso1, tts_engine) + text = restore_sml(text, sml_blocks) + return text + return None + except Exception as e: + error = f'filter_blocks() error: {e}' + DependencyError(error) + return None + +def get_sentences(session_id:str, text:str)->list|None: + + def _split_inclusive(text:str, pattern:re.Pattern[str])->list[str]: + result = [] + last_end = 0 + for match in pattern.finditer(text): + result.append(text[last_end:match.end()].strip()) + last_end = match.end() + if last_end < len(text): + tail = text[last_end:].strip() + if tail: + result.append(tail) + return result + + def _split_sentence_on_sml(sentence:str)->list[str]: + parts:list[str] = [] + last = 0 + i = 0 + n = len(sentence) + while i < n: + m = SML_TAG_PATTERN.match(sentence, i) + if m: + if m.start() > last: + parts.append(sentence[last:m.start()]) + parts.append(m.group(0)) + i = m.end() + last = i + continue + if ord(sentence[i]) >= sml_escape_tag: + if i > last: + parts.append(sentence[last:i]) + j = i + while j < n and ord(sentence[j]) >= sml_escape_tag: + j += 1 + parts.append(sentence[i:j]) + i = j + last = i + continue + i += 1 + if last < n: + parts.append(sentence[last:]) + return parts + + def _strip_escaped_sml(s:str)->str: + return ''.join(c for c in s if ord(c) < sml_escape_tag) + + def _clean_len(s:str)->int: + return len(_strip_escaped_sml(s)) + + def _is_latin_only(s:str)->bool: + s = _strip_escaped_sml(s) + s = re.sub(r'[^\w\s]', '', s, flags=re.UNICODE) + has_latin = bool(re.search(r'[A-Za-z]', s)) + has_nonlatin = bool(re.search(r'[^\x00-\x7F]', s)) + return has_latin and not has_nonlatin + + def _segment_ideogramms(text:str)->list[str]: + result = [] + try: + if lang in ['yue','yue-Hant','yue-Hans','zh-yue','cantonese']: + import pycantonese as pc + result.extend([t for t in pc.segment(text) if t.strip()]) + elif lang == 'zho': + import jieba + jieba.dt.cache_file = os.path.join(models_dir, 'jieba.cache') + result.extend([t for t in jieba.cut(text) if t.strip()]) + elif lang == 'jpn': + import nagisa + result.extend(nagisa.tagging(text).words) + elif lang == 'kor': + from soynlp.tokenizer import LTokenizer + ltokenizer = LTokenizer() + result.extend([t for t in ltokenizer.tokenize(text) if t.strip()]) + elif lang in ['tha','lao','mya','khm']: + from pythainlp.tokenize import word_tokenize + result.extend([t for t in word_tokenize(text, engine='newmm') if t.strip()]) + else: + result.append(text.strip()) + return result + except Exception as e: + DependencyError(e) + return [text] + + def _join_ideogramms(idg_list:list[str])->str: + try: + buffer = '' + prev_latin = False + prev_nonlatin = False + for token in idg_list: + cur_starts_latin = bool(re.match(r'[A-Za-z0-9]', token)) + cur_starts_nonlatin = bool(re.match(r'[^\x00-\x7F]', token)) + if buffer: + if (prev_latin and (cur_starts_latin or cur_starts_nonlatin)) or (prev_nonlatin and cur_starts_latin): + buffer += ' ' + elif len(buffer) + len(token) > max_chars: + yield buffer + buffer = '' + buffer += token + prev_latin = bool(re.search(r'[A-Za-z0-9]$', token)) + prev_nonlatin = bool(re.search(r'[^\x00-\x7F]$', token)) + if buffer: + yield buffer + except Exception as e: + DependencyError(e) + if buffer: + yield buffer + + def _is_pure_escaped_sml(s:str)->bool: + return bool(s) and all(ord(c) >= sml_escape_tag for c in s) + + def _strip_leading_noise(s:str)->str: + i = 0 + n = len(s) + while i < n: + c = s[i] + if c.isalnum() or c == '_' or c.isspace() or ord(c) >= sml_escape_tag: + break + i += 1 + return s[i:].lstrip() + + def _force_split_segment(segment:str)->list[str]: + results = [] + rest = segment + hard_set = tuple(punctuation_split_hard_set) + soft_set = tuple(punctuation_split_soft_set) + while rest: + if _clean_len(rest) <= max_chars: + results.append(rest.strip()) + break + cut = rest[:max_chars + 1] + best_idx = -1 + # 1) regress to the last hard punctuation in the window + for i in range(len(cut) - 1, -1, -1): + if cut[i] in hard_set: + best_idx = i + 1 + break + # 2) no hard punct -> regress to the last soft punctuation + if best_idx == -1: + for i in range(len(cut) - 1, -1, -1): + if cut[i] in soft_set: + best_idx = i + 1 + break + # 3) no punctuation at all -> fall back to last space + if best_idx == -1: + idx = cut.rfind(' ') + if idx > 0: + best_idx = idx + # 4) last resort -> hard cut at max_chars + if best_idx <= 0: + best_idx = max_chars + # Safety: never cut inside an SML group + while best_idx < len(rest) and ord(rest[best_idx]) >= sml_escape_tag: + best_idx += 1 + left = rest[:best_idx].strip() + right = rest[best_idx:].strip() + if not left or right == rest: + results.append(rest.strip()) + break + results.append(left) + rest = right + return results + + try: + session = context.get_session(session_id) + if not session: + return None + lang = session['language'] + if session.get('translate_enabled') and session.get('translate'): + lang = session['translate'] + tts_engine = session['tts_engine'] + max_chars = int(language_mapping[lang]['max_chars'] / 2) + + text, sml_blocks = escape_sml(text) + assert not SML_TAG_PATTERN.search(text) + + # Tokenize into content and SML runs + segments = [] + idx = 0 + tlen = len(text) + current_text = [] + while idx < tlen: + c = text[idx] + if ord(c) >= sml_escape_tag: + if current_text: + segments.append(('text', ''.join(current_text))) + current_text = [] + start = idx + while idx < tlen and ord(text[idx]) >= sml_escape_tag: + idx += 1 + segments.append(('sml', text[start:idx])) + else: + current_text.append(c) + idx += 1 + if current_text: + segments.append(('text', ''.join(current_text))) + + # SINGLE inline buffer — SML stays in position next to its surrounding text. + # On overflow, cut at the LAST SML position in the buffer (a natural pause point). + final_list = [] + buffer = [] + current_len = 0 + + for seg_type, seg_content in segments: + if seg_type == 'sml': + buffer.append(seg_content) + continue + + seg_clean_len = _clean_len(seg_content) + potential_len = current_len + seg_clean_len + + if potential_len <= max_chars: + buffer.append(seg_content) + current_len = potential_len + continue + + # Doesn't fit. Try to cut at the rightmost SML run in the buffer. + combined = ''.join(buffer) + cut_idx = -1 + j = len(combined) - 1 + while j >= 0: + if ord(combined[j]) >= sml_escape_tag: + cut_idx = j + 1 + break + j -= 1 + + cut_done = False + if 0 < cut_idx <= len(combined): + part1 = combined[:cut_idx] + part2 = combined[cut_idx:] + if seg_clean_len <= max_chars and _clean_len(part2) + seg_clean_len <= max_chars: + if _strip_escaped_sml(part1).strip(): + final_list.append(part1.strip()) + elif part1.strip() and final_list: + # part1 is pure SML — attach to previous sentence, no standalone tag + final_list[-1] = final_list[-1].rstrip() + ' ' + part1.strip() + buffer = [part2, seg_content] if part2 else [seg_content] + current_len = _clean_len(part2) + seg_clean_len + cut_done = True + + if not cut_done: + # No usable SML cut. Flush buffer wholesale (force-split if too long). + if _strip_escaped_sml(combined).strip(): + if current_len <= max_chars: + final_list.append(combined.strip()) + else: + final_list.extend(_force_split_segment(combined.strip())) + if seg_clean_len > max_chars: + parts = _force_split_segment(seg_content) + for p in parts[:-1]: + if p: + final_list.append(p) + buffer = [parts[-1]] + current_len = _clean_len(parts[-1]) + else: + buffer = [seg_content] + current_len = seg_clean_len + else: + # Buffer is pure SML — carry forward, never emit a standalone [break] + pending = combined + if seg_clean_len > max_chars: + parts = _force_split_segment(seg_content) + if parts and pending.strip(): + parts[0] = pending + parts[0] + for p in parts[:-1]: + if p: + final_list.append(p) + buffer = [parts[-1]] + current_len = _clean_len(parts[-1]) + else: + buffer = [pending, seg_content] if pending.strip() else [seg_content] + current_len = seg_clean_len + + # Final flush + if buffer: + combined = ''.join(buffer).strip() + if combined: + if _strip_escaped_sml(combined).strip(): + if _clean_len(combined) <= max_chars: + final_list.append(combined) + else: + final_list.extend(_force_split_segment(combined)) + elif final_list: + # Trailing pure-SML — attach to last sentence, no standalone + final_list[-1] = final_list[-1].rstrip() + ' ' + combined + + final_list = [_strip_leading_noise(s) for s in final_list if s.strip()] + final_list = [s for s in final_list if s] + + # Merge orphan-short sentences. A sentence below max_chars/2 is "too short"; + # absorb it into the previous (preferred) or next sentence when that fits. + merge_threshold = max_chars // 2 + merge_ceiling = max_chars + max_chars // 2 # max_chars + overhead of max_chars/2 + + merged_list = [] + i = 0 + n = len(final_list) + while i < n: + cur = final_list[i].strip() + if not cur: + i += 1 + continue + cur_len = _clean_len(cur) + if cur_len <= merge_threshold: + # 1) try to attach to the previous sentence + if merged_list: + prev = merged_list[-1] + if _clean_len(prev) + 1 + cur_len <= merge_ceiling: + merged_list[-1] = prev.rstrip() + ' ' + cur.lstrip() + i += 1 + continue + # 2) otherwise try to glue it onto the next sentence + if i + 1 < n: + nxt = final_list[i + 1].strip() + if cur_len + 1 + _clean_len(nxt) <= merge_ceiling: + merged_list.append(cur.rstrip() + ' ' + nxt.lstrip()) + i += 2 + continue + merged_list.append(cur) + i += 1 + final_list = merged_list + + if lang in ['zho', 'jpn', 'kor', 'tha', 'lao', 'mya', 'khm']: + result = [] + for s in final_list: + parts = _split_sentence_on_sml(s) + for part in parts: + part = part.strip() + if not part: + continue + if _is_pure_escaped_sml(part) or SML_TAG_PATTERN.fullmatch(part): + result.append(part) + continue + tokens = _segment_ideogramms(part) + if isinstance(tokens, list): + result.extend([t for t in tokens if t.strip()]) + else: + tokens = tokens.strip() + if tokens: + result.append(tokens) + ideogram_list = [] + for s in _join_ideogramms(result): + if not _is_latin_only(s): + ideogram_list.append(s) + if ideogram_list: + ideogram_list = [restore_sml(s, sml_blocks) for s in ideogram_list] + return ideogram_list + + if final_list: + final_list = [restore_sml(s, sml_blocks) for s in final_list] + return final_list + except Exception as e: + print(f'get_sentences() error: {e}') + return None + +def get_sanitized(str:str, replacement:str='_')->str: + str = str.replace('&', 'And') + forbidden_chars = r'[<>:"/\\|?*\x00-\x1F ()]' + sanitized = re.sub(r'\s+', replacement, str) + sanitized = re.sub(forbidden_chars, replacement, sanitized) + sanitized = sanitized.strip('_') + return sanitized + +def get_date_entities(text:str, stanza_nlp:Pipeline)->list[tuple[int,int,str]]|bool: + try: + doc = stanza_nlp(text) + date_spans = [] + for ent in doc.ents: + if ent.type == 'DATE': + date_spans.append((ent.start_char, ent.end_char, ent.text)) + return date_spans + except Exception as e: + error = f'get_date_entities() error: {e}' + print(error) + return False + +def get_num2words_compat(lang_iso1:str)->bool: + try: + test = num2words(1, lang=lang_iso1.replace('zh', 'zh_CN')) + return True + except NotImplementedError: + return False + except Exception as e: + return False + +def set_formatted_number(text:str, lang:str, lang_iso1:str, is_num2words_compat:bool, max_single_value:int=999_999_999_999_999_999)->str: + # match up to 18 digits, optional “,…” groups (allowing spaces or NBSP after comma), optional decimal of up to 12 digits + # handle optional range with dash/en dash/em dash between numbers, and allow trailing punctuation + number_re = re.compile( + r'(?<!\w)' + r'(\d{1,18}(?:,\s*\d{1,18})*(?:\.\d{1,12})?)' # first number + r'(?:\s*([-–—])\s*' # dash type + r'(\d{1,18}(?:,\s*\d{1,18})*(?:\.\d{1,12})?))?' # optional second number + r'([^\w\s]*)', # optional trailing punctuation + re.UNICODE + ) + + def _normalize_commas(num_str:str)->str: + # ormalize number string to standard comma format: 1,234,567 + tok = num_str.replace('\u00A0', '').replace(' ', '') + if '.' in tok: + integer_part, decimal_part = tok.split('.', 1) + integer_part = integer_part.replace(',', '') + integer_part = "{:,}".format(int(integer_part)) + return f'{integer_part}.{decimal_part}' + else: + integer_part = tok.replace(',', '') + return "{:,}".format(int(integer_part)) + + def _clean_single_num(num_str:str)->str: + tok = unicodedata.normalize('NFKC', num_str) + if tok.lower() in ('inf', 'infinity', 'nan'): + return tok + clean = tok.replace(',', '').replace('\u00A0', '').replace(' ', '') + try: + num = float(clean) if '.' in clean else int(clean) + except (ValueError, OverflowError): + return tok + if not math.isfinite(num) or abs(num) > max_single_value: + return tok + + # Normalize commas before final output + tok = _normalize_commas(tok) + + if is_num2words_compat: + new_lang_iso1 = lang_iso1.replace('zh', 'zh_CN') + return num2words(num, lang=new_lang_iso1) + else: + phoneme_map = language_math_phonemes.get( + lang, + language_math_phonemes.get(default_language_code, language_math_phonemes['eng']) + ) + return ' '.join(phoneme_map.get(ch, ch) for ch in str(num)) + + def clean_match(match:re.Match)->str: + first_num = _clean_single_num(match.group(1)) + dash_char = match.group(2) or '' + second_num = _clean_single_num(match.group(3)) if match.group(3) else '' + trailing = match.group(4) or '' + if second_num: + return f'{first_num}{dash_char}{second_num}{trailing}' + else: + return f'{first_num}{trailing}' + + return number_re.sub(clean_match, text) + +def year2words(year_str:str, lang:str, lang_iso1:str, is_num2words_compat:bool)->str|bool: + try: + year = int(year_str) + first_two = int(year_str[:2]) + last_two = int(year_str[2:]) + lang_iso1 = lang_iso1 if lang in language_math_phonemes.keys() else default_language_code + lang_iso1 = lang_iso1.replace('zh', 'zh_CN') + if not year_str.isdigit() or len(year_str) != 4 or last_two < 10: + if is_num2words_compat: + return num2words(year, lang=lang_iso1) + else: + return ' '.join(language_math_phonemes[lang].get(ch, ch) for ch in year_str) + if is_num2words_compat: + return f'{num2words(first_two, lang=lang_iso1)} {num2words(last_two, lang=lang_iso1)}' + else: + return ' '.join(language_math_phonemes[lang].get(ch, ch) for ch in first_two) + ' ' + ' '.join(language_math_phonemes[lang].get(ch, ch) for ch in last_two) + except Exception as e: + error = f'year2words() error: {e}' + print(error) + return False + +def clock2words(text:str, lang:str, lang_iso1:str, tts_engine:str, is_num2words_compat:bool)->str: + + def _n2w(n:int)->str: + key = (n, lang, is_num2words_compat) + if key in _n2w_cache: + return _n2w_cache[key] + if is_num2words_compat: + word = num2words(n, lang=lang_iso1) + else: + word = math2words(n, lang, lang_iso1, tts_engine, is_num2words_compat) + if not isinstance(word, str): + word = str(word) + _n2w_cache[key] = word + return word + + def _repl_num(m:re.Match)->str: + # Reject enumeration patterns like "(1.2)" + start, end = m.start(), m.end() + if ( + start > 0 and end < len(text) + and text[start - 1] == '(' + and text[end] == ')' + ): + return m.group(0) + # Parse hh[:mm[:ss]] + try: + h = int(m.group(1)) + mnt = int(m.group(2)) + sec = m.group(3) + sec = int(sec) if sec is not None else None + except Exception: + return m.group(0) + # basic validation; if out of range, keep original + if not (0 <= h <= 23 and 0 <= mnt <= 59 and (sec is None or 0 <= sec <= 59)): + return m.group(0) + # If no language clock rules, just say numbers plainly + if not lc: + parts = [_n2w(h)] + if mnt != 0: + parts.append(_n2w(mnt)) + if sec is not None and sec > 0: + parts.append(_n2w(sec)) + return ' '.join(parts) + next_hour = (h + 1) % 24 + special_hours = lc.get('special_hours', {}) + if mnt == 0 and (sec is None or sec == 0): + if h in special_hours: + phrase = special_hours[h] + else: + phrase = lc['oclock'].format(hour=_n2w(h)) + elif mnt == 15: + phrase = lc['quarter_past'].format(hour=_n2w(h)) + elif mnt == 30: + phrase = lc['half_past'].format(hour=_n2w(h), next_hour=_n2w(next_hour)) + elif mnt == 45: + phrase = lc['quarter_to'].format(next_hour=_n2w(next_hour)) + elif mnt < 30: + phrase = lc['past'].format(hour=_n2w(h), minute=_n2w(mnt)) if mnt != 0 else lc['oclock'].format(hour=_n2w(h)) + else: + minute_to_hour = 60 - mnt + phrase = lc['to'].format( + next_hour=_n2w(next_hour), + minute=_n2w(minute_to_hour), + minute_to_hour=_n2w(minute_to_hour) + ) + if sec is not None and sec > 0: + second_phrase = lc['second'].format(second=_n2w(sec)) + phrase = lc['full'].format(phrase=phrase, second_phrase=second_phrase) + return phrase + + time_rx = re.compile( + r'\b([01]?\d|2[0-3]):([0-5]\d)(?::([0-5]\d))?\b' + ) + lc = language_clock.get(lang) if 'language_clock' in globals() else None + _n2w_cache = {} + return time_rx.sub(_repl_num, text) + +def math2words(text:str, lang:str, lang_iso1:str, tts_engine:str, is_num2words_compat:bool)->str: + + def _repl_ambiguous(match:re.Match)->str: + # handles "num SYMBOL num" and "SYMBOL num" + if match.group(2) and match.group(2) in ambiguous_replacements: + return f'{match.group(1)} {ambiguous_replacements[match.group(2)]} {match.group(3)}' + if match.group(3) and match.group(3) in ambiguous_replacements: + return f'{ambiguous_replacements[match.group(3)]} {match.group(4)}' + return match.group(0) + + def _ordinal_to_words(m:re.Match)->str: + n = int(m.group(1)) + if is_num2words_compat: + try: + return num2words(n, to='ordinal', lang=(lang_iso1 or 'en')) + except Exception: + pass + # If num2words isn't available/compatible, keep original token as-is. + return m.group(0) + + # Matches any digits + optional space/NBSP + st/nd/rd/th, not glued into words. + re_ordinal = re.compile(r'(?<!\w)(\d+)(?:\s|\u00A0)*(?:st|nd|rd|th)(?!\w)') + text = re.sub(r'(\d)\)', r'\1 : ', text) + text = re_ordinal.sub(_ordinal_to_words, text) + # Symbol phonemes + ambiguous_symbols = {"-", "/", "*", "x"} + phonemes_list = language_math_phonemes.get(lang, language_math_phonemes[default_language_code]) + replacements = {k: v for k, v in phonemes_list.items() if not k.isdigit() and k not in [',', '.']} + normal_replacements = {k: v for k, v in replacements.items() if k not in ambiguous_symbols} + ambiguous_replacements = {k: v for k, v in replacements.items() if k in ambiguous_symbols} + # Replace unambiguous symbols everywhere + if normal_replacements: + sym_pat = r'(' + '|'.join(re.escape(k) for k in sorted(normal_replacements, key=len, reverse=True)) + r')' + text = re.sub(sym_pat, lambda m: f' {normal_replacements[m.group(1)]} ', text) + # Replace ambiguous symbols only in valid equation contexts + if ambiguous_replacements: + ambiguous_pattern = ( + r'(?<!\S)' # no non-space before + r'(\d+)\s*([-/*x])\s*(\d+)' # num SYMBOL num + r'(?!\S)' # no non-space after + r'|' # or + r'(?<!\S)([-/*x])\s*(\d+)(?!\S)' # SYMBOL num + ) + text = re.sub(ambiguous_pattern, _repl_ambiguous, text) + text = set_formatted_number(text, lang, lang_iso1, is_num2words_compat) + return text + +def roman2number(text:str)->str: + + def _is_valid_roman(s:str)->bool: + return bool(valid_roman.fullmatch(s)) + + def _to_int(s:str)->str: + s = s.upper() + i = 0 + result = 0 + while i < len(s): + for roman, value in roman_numbers_tuples: + if s[i:i + len(roman)] == roman: + result += value + i += len(roman) + break + else: + return s + return str(result) + + def _repl_heading(m:re.Match)->str: + roman = m.group(1) + if not _is_valid_roman(roman): + return m.group(0) + return f"{_to_int(roman)}{m.group(2)}{m.group(3)}" + + def _repl_standalone(m:re.Match)->str: + roman = m.group(1) + if not _is_valid_roman(roman): + return m.group(0) + return f"{_to_int(roman)}{m.group(2)}" + + def _repl_word(m:re.Match)->str: + roman = m.group(1) + if not _is_valid_roman(roman): + return m.group(0) + return _to_int(roman) + + def _repl_chapter_single(m:re.Match)->str: + word = m.group(1) + roman = m.group(2) + if not _is_valid_roman(roman): + return m.group(0) + return f'{word} {_to_int(roman)}' + + valid_roman = re.compile( + r'^(?=.)M{0,3}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$', + re.IGNORECASE + ) + chapter_words = sorted( + {w for words in chapter_word_mapping.values() for w in words}, + key=len, + reverse=True + ) + chapter_words_re = re.compile( + rf'\b({"|".join(map(re.escape, chapter_words))})\s+([IVXLCDM]+)\b', + re.IGNORECASE | re.UNICODE + ) + text = re.sub( + r'^(?:\s*)([IVXLCDM]+)([.-])(\s+)', + _repl_heading, + text, + flags=re.MULTILINE + ) + text = re.sub( + r'^(?:\s*)([IVXLCDM]+)([.-])(?:\s*)$', + _repl_standalone, + text, + flags=re.MULTILINE + ) + text = chapter_words_re.sub(_repl_chapter_single, text) + text = re.sub( + r'(?<!\S)([IVXLCDM]{2,})(?!\S)', + _repl_word, + text + ) + return text + +def is_latin(s:str)->bool: + return all((u'a' <= ch.lower() <= 'z') or ch.isdigit() or not ch.isalpha() for ch in s) + +def foreign2latin(text:str, base_lang:str)->str: + + def _script_of(word:str)->str: + for ch in word: + if ch.isalpha(): + name = unicodedata.name(ch, '') + if 'CYRILLIC' in name: + return 'cyrillic' + if 'LATIN' in name: + return 'latin' + if 'ARABIC' in name: + return 'arabic' + if 'HANGUL' in name: + return 'hangul' + if 'HIRAGANA' in name or 'KATAKANA' in name: + return 'japanese' + if 'CJK' in name or 'IDEOGRAPH' in name: + return 'chinese' + return 'unknown' + + def _romanize(word:str)->str: + scr = _script_of(word) + if scr == 'latin': + return word + try: + if scr == 'chinese': + return ''.join(x[0] for x in pinyin(word, style=Style.NORMAL)) + if scr == 'japanese': + k = pykakasi.kakasi() + k.setMode('H', 'a') + k.setMode('K', 'a') + k.setMode('J', 'a') + k.setMode('r', 'Hepburn') + return k.getConverter().do(word) + if scr == 'hangul': + return unidecode(word) + if scr == 'arabic': + return unidecode(phonemize(word, language='ar', backend='espeak')) + if scr == 'cyrillic': + return unidecode(phonemize(word, language='ru', backend='espeak')) + return unidecode(word) + except Exception: + return unidecode(word) + + # Protect ALL SML tags using the global grammar + protected:dict[str, str] = {} + for i, m in enumerate(SML_TAG_PATTERN.finditer(text)): + key:str = f'__TTS_MARKER_{i}__' + protected[key] = m.group(0) + text = text.replace(m.group(0), key) + tokens:list[str] = re.findall(r"\w+|[^\w\s]", text, re.UNICODE) + buf:list[str] = [] + for t in tokens: + if t in protected: + buf.append(t) + elif re.match(r"^\w+$", t): + buf.append(_romanize(t)) + else: + buf.append(t) + out:str = '' + for i, t in enumerate(buf): + if i == 0: + out += t + else: + if re.match(r"^\w+$", buf[i - 1]) and re.match(r"^\w+$", t): + out += ' ' + t + else: + out += t + for k, v in protected.items(): + out = out.replace(k, v) + return out + +def normalize_sml_tags(text:str)->tuple[bool, str]: + out = [] + stack = [] + last = 0 + for m in SML_TAG_PATTERN.finditer(text): + start, end = m.span() + out.append(text[last:start]) + tag = m.group("tag") + close = bool(m.group("close")) + value = m.group("value") + info = TTS_SML.get(tag) + if not info: + out.append(m.group(0)) + last = end + continue + if info.get("paired"): + if close: + if not stack or stack[-1] != tag: + error = f'normalize_sml_tags() error: unmatched closing tag [/{tag}]' + return False, error + stack.pop() + out.append(f"[/{tag}]") + else: + stack.append(tag) + if value is not None: + out.append(f"[{tag}:{value.strip()}]") + else: + error = f'normalize_sml_tags() error: paired tag [{tag}] requires a value' + return False, error + else: + if close: + error = f'normalize_sml_tags() error: non-paired tag [/{tag}] is invalid' + return False, error + out.append(info['static']) + last = end + out.append(text[last:]) + if stack: + error = f"normalize_sml_tags() error: unclosed tag(s): {', '.join(stack)}" + return False, error + return True, ''.join(out) + +def escape_sml(text:str)->tuple[str, list[str]]: + sml_blocks:list[str] = [] + + def _replace(m:re.Match[str])->str: + sml_blocks.append(m.group(0)) + return chr(sml_escape_tag + len(sml_blocks) - 1) + + return SML_TAG_PATTERN.sub(_replace, text), sml_blocks + +def restore_sml(text:str, sml_blocks:list[str])->str: + for i, block in enumerate(sml_blocks): + text = text.replace(chr(sml_escape_tag + i), block) + return text + +def sml_token(tag:str, value:str|None=None, close:bool=False)->str: + if close: + return f"[/{tag}]" + if value is not None: + return f"[{tag}:{value}]" + return f"[{tag}]" + +def normalize_text(text:str, lang:str, lang_iso1:str, tts_engine:str)->str: + + def _replace(match:re.Match)->str: + token = match.group(1) + for k, expansion in mapping.items(): + if token.lower() == k.lower(): + return expansion + return token # fallback + + # Remove emojis + emoji_pattern = re.compile(f"[{''.join(emojis_list)}]+", flags=re.UNICODE) + emoji_pattern.sub('', text) + if lang in abbreviations_mapping: + mapping = abbreviations_mapping[lang] + # Sort keys by descending length so longer ones match first + keys = sorted(mapping.keys(), key=len, reverse=True) + # Build a regex that only matches whole “words” (tokens) exactly + pattern = re.compile( + r'(?<!\w)(' + '|'.join(re.escape(k) for k in keys) + r')(?!\w)', + flags=re.IGNORECASE + ) + text = pattern.sub(_replace, text) + # This regex matches sequences like a., c.i.a., f.d.a., m.c., etc… + pattern = re.compile(r'\b(?:[a-zA-Z]\.){1,}[a-zA-Z]?\b\.?') + # uppercase acronyms + text = re.sub(r'\b(?:[a-zA-Z]\.){1,}[a-zA-Z]?\b\.?', lambda m: m.group().replace('.', '').upper(), text) + # romanize foreign words + if language_mapping[lang]['script'] == 'latin': + text = foreign2latin(text, lang) + # Replace multiple newlines ("\n\n", "\r\r", "\n\r", etc.) with a [pause] 1.4sec + pattern = r'(?:\r\n|\r|\n){2,}' + text = re.sub(pattern, f" {sml_token('pause')} ", text) + # Replace single newlines ("\n" or "\r") with spaces + text = re.sub(r'\r\n|\r|\n', ' ', text) + # Replace punctuations causing hallucinations + pattern = f"[{''.join(map(re.escape, punctuation_switch.keys()))}]" + text = re.sub(pattern, lambda match: punctuation_switch.get(match.group(), match.group()), text) + # remove unwanted chars + chars_remove_table = str.maketrans({ch: ' ' for ch in chars_remove}) + text = text.translate(chars_remove_table) + # replace double quotes by a comma if no punctuation precedes it + text = re.sub(r'\s*"\s*', '"', text) + text = re.sub(r'(?<=[\p{L}\p{N}])"(?=[\p{L}\p{N}]|$)', ', ', text) + text = re.sub(r'"', '', text) + # Replace multiple and spaces with single space + text = re.sub(r'\s+', ' ', text) + # Replace ok by 'Owkey' + text = re.sub(r'\bok\b', 'Okay', text, flags=re.IGNORECASE) + # Escape special characters in the punctuation list for regex + pattern = '|'.join(map(re.escape, punctuation_split_hard_set)) + # Reduce multiple consecutive punctuations hard + text = re.sub(rf'(\s*({pattern})\s*)+', r'\2 ', text).strip() + # Escape special characters in the punctuation list for regex + pattern = '|'.join(map(re.escape, punctuation_split_soft_set)) + # Reduce multiple consecutive punctuations soft + text = re.sub(rf'(\s*({pattern})\s*)+', r'\2 ', text).strip() + # Pattern 1: Add a space between UTF-8 characters and numbers + text = re.sub(r'(?<=[\p{L}])(?=\d)|(?<=\d)(?=[\p{L}])', ' ', text) + # Replace special chars with words + specialchars = specialchars_mapping.get(lang, specialchars_mapping.get(default_language_code, specialchars_mapping['eng'])) + specialchars_table = {ord(char): f" {word} " for char, word in specialchars.items()} + text = text.translate(specialchars_table) + text = ' '.join(text.split()) + return text + +def block_hash(block: dict) -> str: + return hashlib.sha1( + '|'.join(( + (block.get('text') or '').strip(), + block.get('voice') or '', + block.get('tts_engine') or TTS_ENGINES['XTTS'], + block.get('fine_tuned') or 'internal', + json.dumps(block.get('sentences') or [], ensure_ascii=False), + )).encode('utf-8') + ).hexdigest() + +def convert_chapters2audio(session_id:str)->bool: + + def _reset_chapter_file(block_id:str)->None: + ch_file = os.path.join(session['chapters_dir'], f'{block_id}.{default_audio_proc_format}') + if os.path.exists(ch_file): + os.unlink(ch_file) + block_dir = os.path.join(session['sentences_dir'], block_id) + if os.path.isdir(block_dir): + shutil.rmtree(block_dir) + + def _check_block_sentences(block_id:str, sentences:list)->set: + block_dir = os.path.join(session['sentences_dir'], block_id) + missing = set() + for j in valid_idx: + is_sml = bool(SML_TAG_PATTERN.fullmatch(sentences[j])) + if (not is_sml) or (j == last_idx): + sentence_file = os.path.join(block_dir, f'{j}.{default_audio_proc_format}') + if not os.path.exists(sentence_file): + missing.add(j) + return missing + + def _count_sentences(sentences:list)->int: + return sum(1 for s in sentences if any(c.isalnum() for c in s.strip())) + + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return False + try: + if session['cancellation_requested']: + return False + print(f'*********** Session: {session_id} **************\n{session_info}') + tts_manager = TTSManager(session) + blocks_current = session['blocks_current'] + blocks = blocks_current['blocks'] + block_resume = blocks_current['block_resume'] + sentence_resume = blocks_current['sentence_resume'] + blocks_saved = session['blocks_saved'] + prev_blocks_list = blocks_saved.get('blocks', []) + prev_blocks = {b['id']: b for b in prev_blocks_list} if isinstance(prev_blocks_list, list) else prev_blocks_list + xtts_languages = default_engine_settings[TTS_ENGINES['XTTS']].get('languages', {}) + _lang = session['language'] + if session.get('translate_enabled') and session.get('translate'): + _lang = session['translate'] + if _lang != 'eng' and _lang in xtts_languages: + is_voice_changed = False + voice_cache = {} + for block in blocks: + old_voice = block.get('voice') + if old_voice in voice_cache: + new_voice = voice_cache[old_voice] + else: + if old_voice is None: + new_voice = None + else: + new_voice, error = tts_manager.set_voice(old_voice) + if new_voice is None and error is not None: + show_alert(session_id, {'type': 'warning', 'msg': error}) + return False + voice_cache[old_voice] = new_voice + if new_voice != old_voice: + is_voice_changed = True + block['voice'] = new_voice + if blocks_saved: + if block['id'] in prev_blocks: + prev_blocks[block['id']]['voice'] = new_voice + if is_voice_changed: + if blocks_saved: + blocks_saved['blocks'] = list(prev_blocks.values()) + session['blocks_saved'] = blocks_saved + save_json_blocks(session_id, 'blocks_saved') + blocks_current['blocks'] = blocks + session['blocks_current'] = blocks_current + save_db_blocks(session_id) + total_chapters = sum(1 for b in blocks if b['keep'] and b['text'].strip()) + if total_chapters == 0: + show_alert(session_id, {'type': 'warning', 'msg': 'No chapters found!'}) + return False + total_sentences = sum(_count_sentences(b['sentences']) for b in blocks if b['keep'] and b['text'].strip()) + if total_sentences == 0: + show_alert(session_id, {'type': 'warning', 'msg': 'No sentences found!'}) + return False + if not session['ebook']: + return False + ebook_name = Path(session['ebook']).name + chapters_dir = session['chapters_dir'] + sentences_dir = session['sentences_dir'] + global_sent = 0 + ch_num = 0 + last_save_time = time.monotonic() + baseline_initialized = False + msg = (f'---------<br/>' + f"{session['filename_noext']}<br/>" + f"A total of {total_chapters} {'block' if total_chapters <= 1 else 'blocks'} " + f"and {total_sentences} {'sentence' if total_sentences <= 1 else 'sentences'}." + f'<br/>---------') + show_alert(session_id, {'type': 'info', 'msg': msg}) + with tqdm(total=total_sentences, desc='0.00%', bar_format='{desc}: {n_fmt}/{total_fmt} ', unit='step', initial=0) as t: + for x, block in enumerate(blocks): + if not (block['keep'] and block['text'].strip()): + continue + if session['cancellation_requested']: + return False + ch_num += 1 + block_id = block['id'] + sentences = block['sentences'] + block_len = len(sentences) + valid_idx = {i for i,s in enumerate(sentences) if any(c.isalnum() for c in s.strip())} + last_idx = block_len - 1 + sent_start = global_sent + current_hash = block_hash(block) + block_ref = prev_blocks.get(block_id) + hash_ref = block_hash(block_ref) if block_ref else None + block_changed = block_ref is not None and hash_ref != current_hash + missing_sentences = set() + start_sentence = 0 + chapter_audio_file = os.path.join(chapters_dir, f'{block_id}.{default_audio_proc_format}') + block_dir = os.path.join(sentences_dir, block_id) + if x < block_resume and not block_changed: + if not os.path.exists(chapter_audio_file): + show_alert(session_id, {'type': 'warning', 'msg': f'Block {x} chapter audio missing, reconverting entire block…'}) + _reset_chapter_file(block_id) + else: + missing_sentences = _check_block_sentences(block_id, sentences) + if not missing_sentences: + print(f'Chapter {ch_num} (block {x}) — has all sentences') + cnt = len(valid_idx) + global_sent += cnt + t.update(cnt) + continue + show_alert(session_id, {'type': 'warning', 'msg': f'Block {x} has {len(missing_sentences)} missing audio files, reconverting…'}) + _reset_chapter_file(block_id) + elif block_changed and x <= block_resume: + show_alert(session_id, {'type': 'info', 'msg': f'Chapter {ch_num} (block {x}) — changed, reconverting'}) + _reset_chapter_file(block_id) + elif x == block_resume and not block_changed: + if sentence_resume == 0 and os.path.isdir(block_dir): + shutil.rmtree(block_dir) + start_sentence = sentence_resume + show_alert(session_id, {'type': 'info', 'msg': f'Chapter {ch_num} (block {x}) containing {block_len} sentences…'}) + os.makedirs(block_dir, exist_ok=True) + blocks_current['block_resume'] = x + blocks_current['sentence_resume'] = start_sentence + session['blocks_current'] = blocks_current + save_db_stamp(session_id) + converted = False + block_voice = block.get('voice') or session.get('voice') + for j in range(block_len): + if session['cancellation_requested']: + msg = 'Conversion Cancelled' + return False + sentence = sentences[j].strip() + if j in valid_idx: + if j >= start_sentence or j in missing_sentences: + if j == start_sentence and start_sentence > 0: + show_alert(session_id, {'type': 'info', 'msg': f'*** Resuming from sentence {global_sent} ***'}) + sentence_file = os.path.join(block_dir, f'{j}.{default_audio_proc_format}') + run, error = tts_manager.convert_sentence2audio(sentence_file, sentence, block_voice=block_voice) + if not run: + show_alert(session_id, {'type': 'warning', 'msg': error}) + return False + converted = True + blocks_current['sentence_resume'] = j + now = time.monotonic() + if not baseline_initialized: + session['blocks_current'] = blocks_current + session['blocks_saved'] = copy.deepcopy(blocks_current) + save_json_blocks(session_id, 'blocks_saved') + baseline_initialized = True + elif now - last_save_time >= 5: + session['blocks_current'] = blocks_current + save_db_stamp(session_id) + last_save_time = now + global_sent += 1 + total_progress = (t.n + 1) / total_sentences + if session['is_gui_process']: + progress_bar(progress=total_progress, desc=f'{ebook_name} - {sentence}') + t.set_description(f'{total_progress * 100:.2f}%') + print(f' : {sentence}') + t.update(1) + sent_end = global_sent - 1 + show_alert(session_id, {'type': 'info', 'msg': f'End of Chapter {ch_num} (block {x})'}) + if converted or block_changed or missing_sentences: + show_alert(session_id, {'type': 'info', 'msg': f'Combining chapter {ch_num} (block {x}) to audio, sentence {sent_start} to {sent_end}'}) + session['blocks_current'] = blocks_current + save_db_stamp(session_id) + last_save_time = time.monotonic() + if not combine_audio_sentences(session_id, chapter_audio_file, block_id, block_len): + show_alert(session_id, {'type': 'warning', 'msg': 'combine_audio_sentences() failed!'}) + return False + #blocks_current['block_resume'] = 0 + #blocks_current['sentence_resume'] = 0 + session['blocks_current'] = blocks_current + save_db_stamp(session_id) + session['blocks_saved'] = copy.deepcopy(blocks_current) + save_json_blocks(session_id, 'blocks_saved') + return True + except Exception as e: + DependencyError(e) + exception_alert(session_id, f'convert_chapters2audio() error: {e}') + return False + +def combine_audio_sentences(session_id:str, file:str, block_id:str, sentence_count:int)->bool: + try: + session = context.get_session(session_id) + if not session or not session.get('id', False): + error = 'Session expired!' + print(error) + return False + if sentence_count == 0: + error = f'No sentences to combine for block {block_id}.' + print(error) + return False + block_dir = Path(session['sentences_dir']) / block_id + ext = default_audio_proc_format + selected_files = [] + missing = [] + for i in range(sentence_count): + path = block_dir / f'{i}.{ext}' + if path.is_file(): + selected_files.append(path) + else: + missing.append(i) + if missing: + error = f'Missing sentence files in block {block_id}: {missing}' + print(error) + return False + concat_dir = session['process_dir'] + concat_list = os.path.join(concat_dir, 'concat_list_sentences.txt') + with open(concat_list, 'w') as f: + for path in selected_files: + if session['cancellation_requested']: + return False + f.write(f"file '{path.as_posix()}'\n") + result = assemble_audio_chunks(concat_list, file, session['is_gui_process']) + if not result: + error = 'combine_audio_sentences() FFmpeg concat failed.' + print(error) + return False + msg = f'********* Combined block audio file saved in {file}' + print(msg) + return True + except Exception as e: + DependencyError(e) + return False + +def combine_audio_chapters(session_id:str)->list[str]|None: + + def _on_progress(p:float, desc:str)->None: + if is_gui_process: + progress_bar(p / 100.0, desc=desc) + + def _generate_ffmpeg_metadata(part_chapters:list[tuple[str,str]], output_metadata_path:str, default_audio_proc_format:str, part_num:int=None)->str|bool: + try: + out_fmt = session['output_format'] + is_mp4_like = out_fmt in ['mp4', 'm4a', 'm4b', 'mov'] + is_vorbis = out_fmt in ['ogg', 'webm'] + is_mp3 = out_fmt == 'mp3' + def tag(key): + return key.upper() if is_vorbis else key + ffmpeg_metadata = ';FFMETADATA1\n' + if session['metadata'].get('title'): + ffmpeg_metadata += f"{tag('title')}={session['metadata']['title']}\n" + if session['metadata'].get('creator'): + ffmpeg_metadata += f"{tag('artist')}={session['metadata']['creator']}\n" + if session['metadata'].get('language'): + ffmpeg_metadata += f"{tag('language')}={session['metadata']['language']}\n" + if session['metadata'].get('description'): + ffmpeg_metadata += f"{tag('description')}={session['metadata']['description']}\n" + if session['metadata'].get('publisher') and (is_mp4_like or is_mp3): + ffmpeg_metadata += f"{tag('publisher')}={session['metadata']['publisher']}\n" + if session['metadata'].get('published'): + try: + if '.' in session['metadata']['published']: + year = datetime.strptime(session['metadata']['published'], '%Y-%m-%dT%H:%M:%S.%f%z').year + else: + year = datetime.strptime(session['metadata']['published'], '%Y-%m-%dT%H:%M:%S%z').year + except Exception: + year = datetime.now().year + else: + year = datetime.now().year + if is_vorbis: + ffmpeg_metadata += f"{tag('date')}={year}\n" + else: + ffmpeg_metadata += f"{tag('year')}={year}\n" + if session['metadata'].get('identifiers') and isinstance(session['metadata']['identifiers'], dict): + if is_mp3 or is_mp4_like: + isbn = session['metadata']['identifiers'].get('isbn') + if isbn: + ffmpeg_metadata += f"{tag('isbn')}={isbn}\n" + asin = session['metadata']['identifiers'].get('mobi-asin') + if asin: + ffmpeg_metadata += f"{tag('asin')}={asin}\n" + start_time = 0 + total = len(part_chapters) + progress_desc = f'Metadata Part {part_num}' if part_num is not None else 'Metadata' + iterable = part_chapters if is_gui_process else tqdm(part_chapters, desc=progress_desc, total=total, unit='ch') + for i, (filename, chapter_title) in enumerate(iterable): + if session['cancellation_requested']: + return False + filepath = os.path.join(session['chapters_dir'], filename) + duration_ms = len(AudioSegment.from_file(filepath, format=default_audio_proc_format)) + clean_title = re.sub(r'(^#)|[=\\]|(-$)', lambda m: '\\' + (m.group(1) or m.group(0)), sanitize_meta_chapter_title(chapter_title)) + ffmpeg_metadata += '[CHAPTER]\nTIMEBASE=1/1000\n' + ffmpeg_metadata += f'START={start_time}\nEND={start_time + duration_ms}\n' + ffmpeg_metadata += f"{tag('title')}={clean_title}\n" + start_time += duration_ms + if is_gui_process: + _on_progress((((i + 1) / total) * 100.0), progress_desc) + with open(output_metadata_path, 'w', encoding='utf-8') as f: + f.write(ffmpeg_metadata) + return output_metadata_path + except Exception as e: + error = f'_generate_ffmpeg_metadata() Error: {e}' + print(error) + return False + + def _export_audio(combined_audio:str, metadata_file:str, final_file:str, block_indices:set=None, part_num:int=None)->bool: + try: + if session['cancellation_requested']: + return False + ffprobe_cmd = [ + shutil.which('ffprobe'), '-v', 'error', '-threads', '0', '-select_streams', 'a:0', + '-show_entries', 'stream=codec_name,sample_rate,sample_fmt', + '-of', 'default=nokey=1:noprint_wrappers=1', combined_audio + ] + probe = subprocess.run(ffprobe_cmd, capture_output=True, text=True) + if probe.returncode != 0: + error = f'ffprobe failed for {combined_audio}: {probe.stderr.strip()}' + print(error) + return False + codec_info = probe.stdout.strip().splitlines() + input_codec = codec_info[0] if len(codec_info) > 0 else None + input_rate = codec_info[1] if len(codec_info) > 1 else None + cmd = [shutil.which('ffmpeg'), '-hide_banner', '-nostats', '-hwaccel', 'auto', '-thread_queue_size', '1024', '-i', combined_audio] + target_codec, target_rate = None, None + if session['output_format'] == 'wav': + target_codec = 'pcm_s16le' + target_rate = '44100' + cmd += ['-map', '0:a', '-ar', target_rate, '-sample_fmt', 's16'] + elif session['output_format'] == 'aac': + target_codec = 'aac' + target_rate = '44100' + cmd += ['-c:a', 'aac', '-b:a', '192k', '-ar', target_rate, '-movflags', '+faststart'] + elif session['output_format'] == 'flac': + target_codec = 'flac' + target_rate = '44100' + cmd += ['-c:a', 'flac', '-compression_level', '5', '-ar', target_rate] + else: + cmd += ['-f', 'ffmetadata', '-i', metadata_file, '-map', '0:a'] + if session['output_format'] in ['m4a', 'm4b', 'mp4', 'mov']: + target_codec = 'aac' + target_rate = '44100' + cmd += ['-c:a', 'aac', '-b:a', '192k', '-ar', target_rate, '-movflags', '+faststart+use_metadata_tags'] + elif session['output_format'] == 'mp3': + target_codec = 'mp3' + target_rate = '44100' + cmd += ['-c:a', 'libmp3lame', '-b:a', '192k', '-ar', target_rate] + elif session['output_format'] == 'webm': + target_codec = 'opus' + target_rate = '48000' + cmd += ['-c:a', 'libopus', '-b:a', '192k', '-ar', target_rate] + elif session['output_format'] == 'ogg': + target_codec = 'opus' + target_rate = '48000' + cmd += ['-c:a', 'libopus', '-compression_level', '0', '-b:a', '192k', '-ar', target_rate] + cmd += ['-map_metadata', '1'] + if session['output_channel'] == 'stereo': + cmd += ['-ac', '2'] + else: + cmd += ['-ac', '1'] + if input_codec == target_codec and input_rate == target_rate: + cmd = [ + shutil.which('ffmpeg'), '-hide_banner', '-nostats', '-hwaccel', 'auto', '-thread_queue_size', '1024', '-i', combined_audio, + '-threads', '0', '-f', 'ffmetadata', '-i', metadata_file, + '-map', '0:a', '-map_metadata', '1', '-c', 'copy', + '-progress', 'pipe:2', + '-y', final_file + ] + else: + cmd += [ + '-filter_threads', '0', + '-filter_complex_threads', '0', + '-af', 'dynaudnorm=f=150:g=15,afftdn=nf=-70', + '-threads', '0', + '-progress', 'pipe:2', + '-y', final_file + ] + progress_desc = f'Export Part {part_num}' if part_num is not None else 'Export' + proc_pipe = SubprocessPipe(cmd, is_gui_process=is_gui_process, total_duration=get_audio_duration(combined_audio), msg='Export', on_progress=lambda p: _on_progress(p, progress_desc)) + if not proc_pipe.result: + error = f'ffmpeg export failed for {final_file}' + print(error) + return False + if not (os.path.exists(final_file) and os.path.getsize(final_file) > 0): + error = f'{Path(final_file).name} is corrupted or does not exist' + print(error) + return False + if session['output_format'] in ['mp3', 'm4a', 'm4b', 'mp4'] and session['cover'] is not None: + cover_path = session['cover'] + msg = f'Adding cover {cover_path} into the final audiobook file…' + print(msg) + audio = None + if session['output_format'] == 'mp3': + from mutagen.mp3 import MP3 + from mutagen.id3 import ID3, APIC, error as id3_error + audio = MP3(final_file, ID3=ID3) + try: + audio.add_tags() + except id3_error: + pass + with open(cover_path, 'rb') as img: + audio.tags.add(APIC(encoding=3, mime='image/jpeg', type=3, desc='Cover', data=img.read())) + elif session['output_format'] in ['mp4', 'm4a', 'm4b']: + from mutagen.mp4 import MP4, MP4Cover + audio = MP4(final_file) + with open(cover_path, 'rb') as f: + cover_data = f.read() + audio['covr'] = [MP4Cover(cover_data, imageformat=MP4Cover.FORMAT_JPEG)] + if audio is not None: + audio.save() + final_vtt = os.path.join(session['audiobooks_dir'], f'{Path(final_file).stem}.vtt') + vtt_built, error = build_vtt_file(session, vtt_path=final_vtt, block_indices=block_indices) + if not vtt_built: + error = f'build_vtt_file() error: {error}' + print(error) + return False + return True + except Exception as e: + error = f'Export failed: {e}' + print(error) + return False + + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return None + is_gui_process = session['is_gui_process'] + chapter_files = [] + chapter_titles = [] + chapter_positions = [] + for x, block in enumerate(session['blocks_current']['blocks']): + if not (block['keep'] and block['text'].strip()): + continue + if not block.get('sentences'): + error = f"Block {x} (id {block['id']}) has no sentences but is marked keep" + print(error) + return None + block_id = block['id'] + fname = f'{block_id}.{default_audio_proc_format}' + fpath = os.path.join(session['chapters_dir'], fname) + if not os.path.exists(fpath): + error = f'Missing chapter audio for block {x} (id {block_id}): {fpath}' + print(error) + return None + chapter_files.append(fname) + chapter_titles.append(block['sentences'][0]) + chapter_positions.append(x) + if len(chapter_files) == 0: + print('No block files exist!') + return None + chunks_size = 892 + total_duration = 0.0 + durations = [] + for i in range(0, len(chapter_files), chunks_size): + filepaths = [ + os.path.join(session['chapters_dir'], f) + for f in chapter_files[i:i + chunks_size] + ] + durations_dict = get_audiolist_duration(filepaths) + for path in filepaths: + dur = durations_dict.get(path, 0.0) + durations.append(dur) + total_duration += dur + if len(durations) != len(chapter_files): + error = f'Duration count mismatch: {len(durations)} durations vs {len(chapter_files)} chapter files' + print(error) + return None + exported_files = [] + concat_dir = session['process_dir'] + if session.get('output_split'): + part_files = [] + part_chapter_indices = [] + cur_part = [] + cur_indices = [] + cur_duration = 0 + max_part_duration = int(session['output_split_hours']) * 3600 + for idx, (file, dur) in enumerate(zip(chapter_files, durations)): + if session['cancellation_requested']: + return None + if cur_part and (cur_duration + dur > max_part_duration): + part_files.append(cur_part) + part_chapter_indices.append(cur_indices) + cur_part = [] + cur_indices = [] + cur_duration = 0 + cur_part.append(file) + cur_indices.append(idx) + cur_duration += dur + if cur_part: + part_files.append(cur_part) + part_chapter_indices.append(cur_indices) + pad_width = len(str(len(part_files))) + is_multi_part = len(part_files) > 1 + for part_idx, (part_file_list, indices) in enumerate(zip(part_files, part_chapter_indices)): + concat_list = os.path.join(concat_dir, f'concat_list_chapters_{part_idx+1:0{pad_width}d}.txt') + with open(concat_list, 'w') as f: + for file in part_file_list: + if session['cancellation_requested']: + return None + path = Path(session['chapters_dir']) / file + f.write(f"file '{path.as_posix()}'\n") + merged_audio = Path(session['process_dir']) / f"{get_sanitized(session['metadata']['title'])}_part{part_idx+1:0{pad_width}d}.{default_audio_proc_format}" + result = assemble_audio_chunks(concat_list, merged_audio, is_gui_process) + if not result: + error = f'assemble_audio_chunks() Final merge failed for part {part_idx+1}.' + print(error) + return None + metadata_file = Path(session['process_dir']) / f'metadata_part{part_idx+1:0{pad_width}d}.txt' + part_chapters = [(chapter_files[i], chapter_titles[i]) for i in indices] + _generate_ffmpeg_metadata(part_chapters, str(metadata_file), default_audio_proc_format) + final_file = os.path.join( + session['audiobooks_dir'], + f"{Path(session['final_name']).stem}_part{part_idx+1:0{pad_width}d}.{session['output_format']}" + if is_multi_part else session['final_name'] + ) + block_indices = {chapter_positions[i] for i in indices} if is_multi_part else None + if _export_audio(merged_audio, metadata_file, final_file, block_indices=block_indices, part_num=part_idx+1): + exported_files.append(final_file) + else: + concat_list = os.path.join(concat_dir, 'concat_list_chapters_1.txt') + merged_audio = Path(session['process_dir']) / f"{get_sanitized(session['metadata']['title'])}.{default_audio_proc_format}" + with open(concat_list, 'w') as f: + for file in chapter_files: + if session['cancellation_requested']: + return None + path = Path(session['chapters_dir']) / file + f.write(f"file '{path.as_posix()}'\n") + result = assemble_audio_chunks(concat_list, merged_audio, is_gui_process) + if not result: + print(f'assemble_audio_chunks() Final merge failed for {merged_audio}.') + return None + metadata_file = os.path.join(session['process_dir'], 'metadata.txt') + chapters_zip = list(zip(chapter_files, chapter_titles)) + _generate_ffmpeg_metadata(chapters_zip, metadata_file, default_audio_proc_format) + final_file = os.path.join(session['audiobooks_dir'], session['final_name']) + if _export_audio(merged_audio, metadata_file, final_file): + exported_files.append(final_file) + return exported_files if exported_files else None + except Exception as e: + DependencyError(e) + return None + +def assemble_audio_chunks(txt_file:str, out_file:str, is_gui_process:bool)->bool: + + def _on_progress(p:float)->None: + if is_gui_process: + progress_bar(p / 100.0, desc='Assemble') + + try: + total_duration = 0.0 + filepaths = [] + try: + with open(txt_file, 'r') as f: + for line in f: + if line.strip().startswith('file'): + file_path = ( + line.strip() + .split('file ')[1] + .strip() + .strip("'") + .strip('"') + ) + if os.path.exists(file_path): + filepaths.append(file_path) + durations = get_audiolist_duration(filepaths) + total_duration = sum(durations.values()) + except Exception as e: + error = f'assemble_audio_chunks() open file {txt_file} Error: {e}' + print(error) + return False + ffmpeg = shutil.which('ffmpeg') + if not ffmpeg: + error = 'ffmpeg not found' + print(error) + return False + cmd = [ + ffmpeg, + '-hide_banner', + '-nostats', + '-safe', '0', + '-f', 'concat', + '-i', txt_file, + '-c:a', default_audio_proc_format, + '-map_metadata', '-1', + '-threads', '0', + '-progress', 'pipe:2', + '-y', out_file + ] + proc_pipe = SubprocessPipe( + cmd=cmd, + is_gui_process=is_gui_process, + total_duration=total_duration, + msg='Assemble', + on_progress=_on_progress + ) + if proc_pipe.result and os.path.exists(out_file): + msg = f'Completed → {out_file}' + print(msg) + return True + else: + error = f'Failed (proc_pipe) → {out_file}' + print(error) + return False + except subprocess.CalledProcessError as e: + DependencyError(e) + return False + except Exception as e: + error = f'assemble_audio_chunks() Error: Failed to process {txt_file} → {out_file}: {e}' + print(error) + return False + +def ellipsize_utf8_bytes(s:str, max_bytes:int, ellipsis:str='…')->str: + s = '' if s is None else str(s) + if max_bytes <= 0: + return '' + raw = s.encode('utf-8') + e = ellipsis.encode('utf-8') + if len(raw) <= max_bytes: + return s + if len(e) >= max_bytes: + # return as many bytes of the ellipsis as fit + return e[:max_bytes].decode('utf-8', errors='ignore') + budget = max_bytes - len(e) + out = bytearray() + for ch in s: + b = ch.encode('utf-8') + if len(out) + len(b) > budget: + break + out.extend(b) + return out.decode('utf-8') + ellipsis + +def sanitize_meta_chapter_title(title:str, max_bytes:int=140)->str: + # avoid None and embedded NULs which some muxers accidentally keep + title = (title or '').replace('\x00', '') + title = title.replace(sml_token('pause'), '') + return ellipsize_utf8_bytes(title, max_bytes=max_bytes, ellipsis='…') + +def strip_invalid_filename_characters(filename:str, max_bytes:int=200)->str: + # Replicates gradio upload filename sanitization for headless mode. + try: + from gradio_client.utils import strip_invalid_filename_characters as gr_strip + return gr_strip(filename, max_bytes) + except ImportError: + pass + use_blocklist = True + try: + import gradio_client + parts = gradio_client.__version__.split(".") + use_blocklist = (int(parts[0]), int(parts[1])) > (1, 13) + except Exception: + pass + name, ext = os.path.splitext(filename) + if use_blocklist: + # gradio_client > 1.13: remove only dangerous chars + name = re.sub(r'[<>:"/\\|?*\x00-\x1f\x7f`$!{}]', "", name) + else: + # gradio_client 1.13.x: keep only alnum + "._-, " + name = "".join(char for char in name if char.isalnum() or char in "._-, ") + filename = name + ext + while len(filename.encode()) > max_bytes and name: + name = name[:-1] + filename = name + ext + return filename + +def delete_proc_audio_files(dir:str, files:list)->None: + base = Path(dir) + for file in base.rglob(f'[0-9]*.{default_audio_proc_format}'): + if file.stem.isdigit() and file in files: + file.unlink() + +def delete_folder(folder_path:str)->None: + for name in os.listdir(folder_path): + path = os.path.join(folder_path, name) + if os.path.isfile(path) or os.path.islink(path): + os.unlink(path) + else: + shutil.rmtree(path) + +def delete_unused_tmp_dirs(session_id:str, output_dir:str, days:int)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + dir_array = [ + tmp_dir, + output_dir, + os.path.join(models_dir, '__sessions'), + os.path.join(voices_dir, '__sessions') + ] + current_user_dirs = { + f'proc-{session_id}', + f'web-{session_id}', + f'cli-{session_id}', + f'voice-{session_id}', + f'model-{session_id}' + } + current_time = time.time() + threshold_time = current_time - (days * 24 * 60 * 60) # Convert days to seconds + for dir_path in dir_array: + if os.path.exists(dir_path) and os.path.isdir(dir_path): + for dir in os.listdir(dir_path): + if dir in current_user_dirs: + full_dir_path = os.path.join(dir_path, dir) + if os.path.isdir(full_dir_path): + try: + dir_mtime = os.path.getmtime(full_dir_path) + dir_ctime = os.path.getctime(full_dir_path) + if dir_mtime < threshold_time and dir_ctime < threshold_time: + shutil.rmtree(full_dir_path, ignore_errors=True) + msg = f'Deleted expired session: {full_dir_path}' + print(msg) + except Exception as e: + error = f'Error deleting {full_dir_path}: {e}' + print(error) + +def get_compatible_tts_engines(language:str)->list[str]: + return [ + engine + for engine, cfg in default_engine_settings.items() + if language in cfg.get('languages', {}) + ] + +def translate_blocks(session_id:str, raw_blocks:list)->tuple: + try: + session = context.get_session(session_id) + if not session or not session.get('id', False): + return raw_blocks, 'Session expired' + if not session.get('translate_enabled') or not session.get('translate'): + return raw_blocks, None + source_iso1 = session.get('language_iso1') + target_iso1 = session.get('translate_iso1') + if not source_iso1 or not target_iso1: + msg = f'Translation iso1 codes missing: {source_iso1} -> {target_iso1}' + return raw_blocks, msg + if source_iso1 == target_iso1: + return raw_blocks, None + total = len(raw_blocks) + msg = f'Translating {total} block(s) {source_iso1} -> {target_iso1}' + show_alert(session_id, {"type": "warning", "msg": msg}) + translator = ArgosTranslator(neural_machine='argostranslate') + error, ok = translator.start(source_iso1, target_iso1) + if not ok: + return raw_blocks, error + if progress_bar is not None: + progress_bar(0.0, desc=msg) + out = [] + tag_keys = '|'.join(map(re.escape, TTS_SML.keys())) + sml_patterns = re.compile( + rf''' + \[ + \s* + (?P<close>/)? + \s* + (?P<tag>{tag_keys}) + (?:\s*:\s*(?P<value>[^\]]*))? + \s* + \] + ''', + re.VERBOSE + ) + with tqdm(total=total, desc='translate', unit='block') as t: + for idx, text in enumerate(raw_blocks): + if session['cancellation_requested']: + return raw_blocks, 'Conversion cancelled' + if not text or not text.strip(): + out.append(text) + else: + translated, ok = translator.translate(text, sml_patterns) + if not ok: + error = f'Translation failed at block {idx}: {translated}' + return raw_blocks, error + out.append(translated) + t.update(1) + if progress_bar is not None: + progress_bar((t.n) / total, desc=f'Translating block {t.n}/{total} {source_iso1} -> {target_iso1}') + msg = 'Translation done.' + print(msg) + if progress_bar is not None: + progress_bar(1.0, desc=msg) + return out, None + except Exception as e: + error = f'translate_blocks() error: {e}' + return raw_blocks, error + +def convert_ebook(args:dict)->tuple: + try: + global context + error = None + session_id = None + info_session = None + if not args.get('id'): + error = 'Session ID is missing!' + return error, False + session_id = str(args['id']) + session = context.get_session(session_id) + if not session or (session and not session.get('id', False)): + error = 'Session expired or does not exist!' + return error, False + if args['language'] is not None: + try: + if len(args['language']) in (2, 3): + lang_dict = Lang(args['language']) + if lang_dict: + args['language'] = lang_dict.pt3 + args['language_iso1'] = lang_dict.pt1 + else: + args['language_iso1'] = None + except Exception as e: + pass + if args['language'] not in language_mapping.keys(): + error = 'The language you provided is not (yet) supported' + return error, False + translate_to = args.get('translate') if args.get('translate') != args.get('language') else False + translate_enabled = bool(args.get('translate_enabled')) and bool(translate_to) + if translate_enabled: + try: + if len(translate_to) in (2, 3): + ld_t = Lang(translate_to) + if ld_t: + translate_to = ld_t.pt3 + except Exception: + pass + if translate_to not in language_mapping.keys(): + error = f'--translate target language {translate_to} is not (yet) supported' + return error, False + try: + target_iso1 = Lang(translate_to).pt1 + except Exception: + target_iso1 = None + if not target_iso1: + error = f'--translate target {translate_to} has no iso639-1 mapping' + return error, False + args['translate_enabled'] = True + args['translate'] = translate_to + args['translate_iso1'] = target_iso1 + final_language = str(args['translate']) + else: + args['translate_enabled'] = False + args['translate'] = None + args['translate_iso1'] = None + final_language = str(args['language']) + session['ebook_mode'] = args['ebook_mode'] + if session['ebook_mode'] == ebook_modes['TEXT']: + if not args['ebook_textarea']: + error = 'Ebook textarea is empty.' + return error, False + text = args['ebook_textarea'] + text_name = get_sanitized(text[:64]) + text_name_hash = hashlib.md5(f'{text_name}_{session_id}'.encode()).hexdigest() + text_filename = SML_TAG_PATTERN.sub('', text_name) + text_filename = get_sanitized(text_filename) + text_filename = f'{text_filename[:48]}_{session_id}.txt' + text_filepath = os.path.join(tempfile.gettempdir(), text_filename) + with open(text_filepath, 'w', encoding='utf-8') as f: + f.write(text) + session['ebook_textarea'] = args['ebook_textarea'] + session['ebook_textarea_src'] = text_filepath + ebook_file = strip_invalid_filename_characters(text_filename) + ebook_name = Path(text_filename).stem + else: + if not args.get('ebook_src'): + error = 'File source is empty.' + return error, False + elif not os.path.splitext(args['ebook_src'])[1]: + error = f"{args['ebook_src']} needs a format extension." + return error, False + elif not os.path.exists(args['ebook_src']): + error = 'File does not exist or Directory empty.' + return error, False + session['ebook_src'] = str(args['ebook_src']) + ebook_file = strip_invalid_filename_characters(Path(session['ebook_src']).name) + ebook_name = get_sanitized(Path(session['ebook_src']).stem) + ebook_name = strip_invalid_filename_characters(ebook_name) + print(f"Processing eBook file: {ebook_file}") + session['custom_model_dir'] = os.path.join(models_dir, '__sessions',f"model-{session_id}") + session['script_mode'] = str(args['script_mode']) if args.get('script_mode') is not None else NATIVE + session['is_gui_process'] = bool(args['is_gui_process']) + session['blocks_preview'] = bool(args['blocks_preview']) if args.get('blocks_preview') else False + session['device'] = str(args['device']) + session['language'] = str(args['language']) + session['language_iso1'] = str(args['language_iso1']) + session['translate_enabled'] = bool(args.get('translate_enabled', False)) + session['translate'] = args.get('translate') + session['translate_iso1'] = args.get('translate_iso1') + session['tts_engine'] = str(args['tts_engine']) + session['custom_model'] = args['custom_model'] + session['fine_tuned'] = str(args['fine_tuned']) + session['voice'] = args.get('voice', None) + session['xtts_temperature'] = float(args['xtts_temperature']) + session['xtts_length_penalty'] = float(args['xtts_length_penalty']) + session['xtts_num_beams'] = int(args['xtts_num_beams']) + session['xtts_repetition_penalty'] = float(args['xtts_repetition_penalty']) + session['xtts_top_k'] = int(args['xtts_top_k']) + session['xtts_top_p'] = float(args['xtts_top_p']) + session['xtts_speed'] = float(args['xtts_speed']) + session['xtts_enable_text_splitting'] = bool(args['xtts_enable_text_splitting']) + session['bark_text_temp'] = float(args['bark_text_temp']) + session['bark_waveform_temp'] = float(args['bark_waveform_temp']) + session['output_format'] = str(args['output_format']) + session['output_channel'] = str(args['output_channel']) + session['output_split'] = bool(args['output_split']) + session['output_split_hours'] = args['output_split_hours']if args['output_split_hours'] is not None else default_output_split_hours + session['model_cache'] = f"{session['tts_engine']}-{session['fine_tuned']}" + session['session_dir'] = os.path.join(tmp_dir, f'proc-{session_id}') + session['status'] = status_tags['EDIT'] if session['blocks_preview'] else status_tags['CONVERTING'] + lang_prfx = (f'_{final_language}' if session.get('translate_enabled') else '') + session['process_dir'] = os.path.join(session['session_dir'], hashlib.md5((ebook_name + lang_prfx).encode()).hexdigest()) + session['chapters_dir'] = os.path.join(session['process_dir'], 'chapters') + session['sentences_dir'] = os.path.join(session['chapters_dir'], 'sentences') + cleanup_models_cache() + if session['is_gui_process']: + session['final_name'] = ebook_name + lang_prfx + '.' + session['output_format'] + else: + session['system'] = DEVICE_SYSTEM + session['audiobooks_dir'] = os.path.abspath(args['output_dir']) if args.get('output_dir') is not None else os.path.join(audiobooks_cli_dir, f'cli-{session_id}') + session['final_name'] = os.path.join(session['audiobooks_dir'], ebook_name + lang_prfx + '.' + session['output_format']) + session['voice_dir'] = os.path.join(voices_dir, '__sessions', f'voice-{session_id}', final_language) + os.makedirs(session['voice_dir'], exist_ok=True) + audio_pre_final_exist = os.path.exists(os.path.join(session['process_dir'], ebook_name + '.' + default_audio_proc_format)) + audio_sentences_exist = any(Path(session['sentences_dir']).rglob(f'*.{default_audio_proc_format}')) + if audio_pre_final_exist or audio_sentences_exist: + msg = f"Warning! audio sentences or final file {ebook_name} of this conversion already exists!" + print(msg) + while True: + choice = input("[s]kip / [r]esume / [d]elete and convert again: ").strip().lower() + if choice in ('s', 'r', 'd'): + break + print("Please enter 's', 'r' or 'd'.") + if choice == 'r': + if audio_pre_final_exist: + os.unlink(audio_pre_final_exist) + if os.path.exists(session['final_name']): + os.unlink(session['final_name']) + elif choice == 'd': + delete_folder(session['process_dir']) + elif choice == 's': + msg = 'Conversion skipped.' + return msg, True + if error is None: + delete_unused_tmp_dirs(session_id, audiobooks_cli_dir, tmp_expire) + if session['custom_model'] is not None: + if not os.path.exists(session['custom_model_dir']): + os.makedirs(session['custom_model_dir'], exist_ok=True) + custom_src_path = Path(session['custom_model']) + custom_src_name = custom_src_path.stem + if not os.path.exists(os.path.join(session['custom_model_dir'], custom_src_name)): + try: + if analyze_uploaded_file(session['custom_model'], default_engine_settings[session['tts_engine']]['files']): + model = extract_custom_model(session_id) + if model is not None: + session['custom_model'] = model + else: + error = f"{model} could not be extracted or mandatory files are missing" + else: + error = f'{os.path.basename(f)} is not a valid model or some required files are missing' + except ModuleNotFoundError as e: + error = f"No presets module for TTS engine '{session['tts_engine']}': {e}" + if session.get('voice'): + voice_name = os.path.splitext(os.path.basename(session['voice']))[0].replace('&', 'And') + voice_name = get_sanitized(voice_name) + final_voice_file = os.path.join(session['voice_dir'], f'{voice_name}.wav') + if not os.path.exists(final_voice_file): + extractor = VoiceExtractor(session, session['voice'], voice_name) + voice_status, msg = extractor.extract_voice() + if voice_status: + session['voice'] = final_voice_file + else: + error = f'VoiceExtractor.extract_voice() failed! {msg}' + if error is None: + if prepare_dirs(session_id): + session['ebook'] = os.path.join(session['process_dir'], ebook_file) + shutil.copy((session['ebook_textarea_src'] if session['ebook_mode'] == ebook_modes['TEXT'] else session['ebook_src']), session['ebook']) + session['filename_noext'] = os.path.splitext(os.path.basename(session['ebook']))[0] + msg = '' + msg_extra = '' + if session['device'] == devices['CUDA']['proc']: + if not devices['CUDA']['found']: + session['device'] = devices['CPU']['proc'] + msg += f'CUDA not supported by the Torch installed!<br/>Read {default_gpu_wiki}<br/>Switching to CPU' + elif session['device'] == devices['JETSON']['proc'] or session['device'] == devices['JETSON']['proc']: + if not devices['JETSON']['found']: + session['device'] = devices['CPU']['proc'] + msg += f'JETSON CUDA not supported by the Torch installed!<br/>Read {default_gpu_wiki}<br/>Switching to CPU' + elif session['device'] == devices['MPS']['proc']: + if not devices['MPS']['found']: + session['device'] = devices['CPU']['proc'] + msg += f'MPS not supported by the Torch installed!<br/>Read {default_gpu_wiki}<br/>Switching to CPU' + elif session['device'] == devices['ROCM']['proc']: + if not devices['ROCM']['found']: + session['device'] = devices['CPU']['proc'] + msg += f'ROCM not supported by the Torch installed!<br/>Read {default_gpu_wiki}<br/>Switching to CPU' + elif session['device'] == devices['XPU']['proc']: + if not devices['XPU']['found']: + session['device'] = devices['CPU']['proc'] + msg += f"XPU not supported by the Torch installed!<br/>Read {default_gpu_wiki}<br/>Switching to CPU" + vram_dict = VRAMDetector().detect_vram(session['device'], session['script_mode']) + print(f'vram_dict: {vram_dict}') + total_vram_gb = vram_dict.get('total_vram_gb', 0) + detected_free_vram_gb = vram_dict.get('free_vram_gb', 0) + session['free_vram_gb'] = detected_free_vram_gb + if session['free_vram_gb'] == 0: + msg_extra += f"<br/>Memory capacity not detected! restrict to {session['free_vram_gb']}GB max" + else: + msg_extra += f"<br/>Free Memory available: {session['free_vram_gb']}GB" + if session['free_vram_gb'] < default_engine_settings[session['tts_engine']]['rating']['VRAM']: + msg_extra += f"<br/>Free Memory {session['free_vram_gb']} is lower than VRAM/RAM {default_engine_settings[session['tts_engine']]['rating']['VRAM']}GB required!<br/>It will probably crash the conversion!" + if session['free_vram_gb'] > 4.0: + if session['tts_engine'] == TTS_ENGINES['BARK']: + os.environ['SUNO_USE_SMALL_MODELS'] = 'FALSE' + if session['tts_engine'] == TTS_ENGINES['BARK']: + if session['free_vram_gb'] < 12.0: + os.environ['SUNO_OFFLOAD_CPU'] = "TRUE" + os.environ['SUNO_USE_SMALL_MODELS'] = "TRUE" + msg_extra += f"<br/>Switching BARK to SMALL models" + else: + os.environ['SUNO_OFFLOAD_CPU'] = "FALSE" + os.environ['SUNO_USE_SMALL_MODELS'] = "FALSE" + if msg == '': + msg_extra = f"Using {session['device'].upper()}" + msg_extra + device_vram_required = default_engine_settings[session['tts_engine']]['rating']['RAM'] if session['device'] == devices['CPU']['proc'] else default_engine_settings[session['tts_engine']]['rating']['VRAM'] + if float(total_vram_gb) >= float(device_vram_required): + if msg: + show_alert(session_id, {"type": "warning", "msg": msg + msg_extra}) + else: + show_alert(session_id, {"type": "info", "msg": msg_extra}) + session['epub_path'] = os.path.join(session['process_dir'], f"__{session['filename_noext']}.epub") + session['blocks_orig_json'] = os.path.join(session['process_dir'], f"{file_prefixes['clone']}{session['filename_noext']}.json") + session['blocks_saved_json'] = os.path.join(session['process_dir'], f"{file_prefixes['saved']}{session['filename_noext']}.json") + session['blocks_current_db'] = os.path.join(session['process_dir'], f"{file_prefixes['current']}{session['filename_noext']}.db") + ok_checksum, error = compare_checksums(session_id) + if not ok_checksum or not os.path.exists(session['epub_path']): + result_epub = convert2epub(session_id) + if result_epub: + if os.path.exists(session['epub_path']): + for jf in (session['blocks_orig_json'], session['blocks_saved_json']): + if os.path.exists(jf): + os.unlink(jf) + db = session['blocks_current_db'] + for f in (db, db + '-wal', db + '-shm'): + if os.path.exists(f): + os.unlink(f) + msg = f"NOTE: process folder {session['process_dir']} is strictly used for internal tasks and has nothing to do with the final conversion." + print(msg) + else: + error = f"convert2epub() {session['epub_path']} does not exists! check write permissions." + else: + error = 'convert2epub() error: could not convert to epub file!' + if error is None: + missing_orig_json = True + if os.path.exists(session['blocks_orig_json']): + missing_orig_json = False + blocks_orig = load_json_blocks(session['blocks_orig_json']) + is_changed = False + if blocks_orig: + blocks = blocks_orig.get('blocks', []) + new_blocks = [] + for block in blocks: + if any(c.isalnum() for c in block.get('text','')): + if not block.get('id'): + block['id'] = str(uuid.uuid4()) + is_changed = True + new_blocks.append(block) + blocks_orig['blocks'] = new_blocks + session['blocks_orig'] = blocks_orig + if is_changed: + save_json_blocks(session_id, 'blocks_orig') + if os.path.exists(session['blocks_saved_json']): + blocks_saved = load_json_blocks(session['blocks_saved_json']) + if blocks_saved: + session['blocks_saved'] = blocks_saved + if is_changed: + if is_changed: + blocks = blocks_saved.get('blocks', []) + for i, block in enumerate(blocks): + if i < len(blocks_orig['blocks']): + block['id'] = blocks_orig['blocks'][i]['id'] + blocks_saved['blocks'] = blocks + session['blocks_saved'] = blocks_saved + save_json_blocks(session_id, 'blocks_saved') + if os.path.exists(session['blocks_current_db']): + blocks_current = load_db_blocks(session['blocks_current_db']) + if blocks_current: + session['blocks_current'] = blocks_current + if is_changed: + if is_changed: + blocks = blocks_current.get('blocks', []) + for i, block in enumerate(blocks): + if i < len(blocks_orig['blocks']): + block['id'] = blocks_orig['blocks'][i]['id'] + blocks_current['blocks'] = blocks + session['blocks_current'] = blocks_current + save_db_blocks(session_id) + epubBook = epub.read_epub(session['epub_path'], {'ignore_ncx': True}) + if epubBook: + metadata = dict(session['metadata']) + for key, value in metadata.items(): + data = epubBook.get_metadata('DC', key) + if data: + for value, attributes in data: + metadata[key] = value + metadata['language'] = final_language + metadata['title'] = metadata['title'] or Path(session['ebook']).stem.replace('_', ' ') + metadata['creator'] = False if not metadata['creator'] or metadata['creator'] == 'Unknown' else metadata['creator'] + session['metadata'] = metadata + try: + if len(session['metadata']['language']) == 2: + lang_dict = Lang(final_language) + if lang_dict: + session['metadata']['language'] = lang_dict.pt3 + except Exception as e: + pass + if not session.get('translate_enabled'): + if session['metadata']['language'] != session['language']: + error = f"WARNING!!! language selected {session['language']} differs from the EPUB file language {session['metadata']['language']}" + show_alert(session_id, {'type': 'warning', 'msg': error}) + is_lang_in_tts_engine = ( + session.get('tts_engine') in default_engine_settings and + final_language in default_engine_settings[session['tts_engine']].get('languages', {}) + ) + if is_lang_in_tts_engine: + session['cover'] = get_cover(epubBook, session_id) + if session.get('cover', False): + if missing_orig_json: + raw_blocks = get_blocks(session_id, epubBook) + if raw_blocks and session.get('translate_enabled'): + raw_blocks, error = translate_blocks(session_id, list(raw_blocks)) + if error is not None: + return error, False + if raw_blocks: + session['blocks_orig'] = { + "page": 0, + "block_resume": 0, + "sentence_resume": 0, + "voice": session['voice'], + "tts_engine": session['tts_engine'], + "fine_tuned": session['fine_tuned'], + "blocks": [ + { + "id": str(uuid.uuid4()), + "expand": False, + "keep": True, + "text": t, + "voice": session['voice'], + "tts_engine": session['tts_engine'], + "fine_tuned": session['fine_tuned'], + "sentences": [], + } + for t in raw_blocks if t + ], + } + if session.get('blocks_orig', {}): + save_json_blocks(session_id, 'blocks_orig') + if not session.get('blocks_current', {}): + session['blocks_current'] = copy.deepcopy(session['blocks_orig']) + save_db_blocks(session_id) + if session.get('blocks_orig', {}) and session.get('blocks_current', {}): + sync_globals_to_blocks(session_id) + if session['blocks_preview']: + msg = f'Chapters preview requested. Select which block to convert:' + print(msg) + progress_status = os.path.basename(session['ebook']) + return progress_status, True + else: + progress_status, passed = finalize_audiobook(session_id) + return progress_status, passed + else: + error = f"get_blocks() or save_json_blocks() failed! {session['blocks_orig']}" + else: + error = 'get_cover() failed!' + else: + error = f"language {final_language} not supported by {session['tts_engine']}!" + else: + error = 'epubBook.read_epub failed!' + else: + error = f"Your device has not enough memory ({total_vram_gb}GB) to run {session['tts_engine']} engine ({device_vram_required}GB)" + else: + error = f"Temporary directory {session['process_dir']} not removed due to failure." + if session['cancellation_requested']: + error = 'Conversion Cancelled' + return error, False + except Exception as e: + error = f'convert_ebook() Exception: {e}\n{traceback.format_exc()}' + return error, False + +def finalize_audiobook(session_id:str)->tuple: + try: + session = context.get_session(session_id) + is_preview = session.get('blocks_preview', False) if session else False + result = lambda msg, ok: (gr.update(value=msg), gr.update(value=ok)) if is_preview else (msg, ok) + + def _fail(error): + session['status'] = status_tags['END'] + return result(error, False) + + if not session or not session.get('id', False): + msg = 'session expired!' + return result(msg, False) + if session['status'] not in [status_tags['EDIT'], status_tags['CONVERTING']]: + msg = 'No blocks have been selected for the conversion!' + return result(msg, False) + if not session.get('blocks_current', {}): + error = 'finalize_audiobook() failed! blocks_current empty!' + return _fail(error) + session['status'] = status_tags['CONVERTING'] + print('Get sentences…') + blocks_current = session['blocks_current'] + blocks = blocks_current['blocks'] + for idx, block in enumerate(blocks): + if session['cancellation_requested']: + if session['status'] == status_tags['DISCONNECTED']: + context_tracker.end_session(session_id, session['socket_hash']) + msg = 'Frontend disconnected!' + return result(msg, False) + msg = 'Conversion cancelled' + return result(msg, False) + if not block['keep'] or not block['text'].strip(): + block['sentences'] = [] + continue + if block.get('sentences', []): + print(f'Block {idx} — sentences already split, skipping') + continue + sentences_list = get_sentences(session_id, block['text']) + if sentences_list is None: + error = 'No sentences found!' + return result(error, False) + block['sentences'] = sentences_list + blocks_current['blocks'] = blocks + session['blocks_current'] = blocks_current + conversion = convert_chapters2audio(session_id) + if not conversion: + error = 'convert_chapters2audio() failed!' + session = context.get_session(session_id) + if session and session.get('id', False): + if session['cancellation_requested']: + error = 'Conversion cancelled' + return _fail(error) + show_alert(session_id, {'type': 'info', 'msg': 'Combining sentences and chapters…'}) + exported_files = combine_audio_chapters(session_id) + if exported_files is None: + return _fail('combine_audio_chapters() error: exported_files not created!') + session['audiobook'] = exported_files[-1] + filename = os.path.basename(session['ebook']) + count_ebook = 0 + if session['ebook_mode'] == ebook_modes['DIRECTORY']: + if isinstance(session['ebook_list'], list): + if session['ebook_src'] in session['ebook_list']: + ebook_list = session['ebook_list'] + ebook_list.remove(session['ebook_src']) + session['ebook_list'] = ebook_list + count_ebook = len(session['ebook_list']) + if count_ebook > 0: + reset_ebook_session(session_id, force=True, filter_keys=False) + show_alert(session_id, {'type': 'success', 'msg': f'{filename} / converted. {count_ebook} ebook(s) conversion remaining…'}) + else: + if session['ebook_mode'] == ebook_modes['DIRECTORY']: + session['ebook_list'] = None + session['voice_map'] = {} + session['ebook_selected'] = None + elif session['ebook_mode'] == ebook_modes['SINGLE']: + session['ebook_src'] = None + elif session['ebook_mode'] == ebook_modes['TEXT']: + try: + os.remove(session['ebook_textarea_src']) + except FileNotFoundError: + pass + except OSError: + pass + session['status'] = status_tags['END'] + reset_ebook_session(session_id, force=True, filter_keys=False) + show_alert(session_id, {'type': 'success', 'msg': f'{filename} / converted.'}) + print(f'*********** Session: {session_id} **************\n{session_info}') + return result(filename, True) + except Exception as e: + session['status'] = status_tags['END'] + reset_ebook_session(session_id, force=True, filter_keys=False) + DependencyError(e) + error = f'finalize_audiobook(): {e}' + exception_alert(session_id, error) + return result(error, False) + +def on_unload(req:gr.Request)->None: + socket_hash = req.session_hash + if any(socket_hash in session for session in context.sessions.values()): + session_id = context.find_id_by_hash(socket_hash) + if session_id: + session = context.get_session(session_id) + if session['status'] == status_tags['CONVERTING']: + session['cancellation_requested'] = True + session['status'] = status_tags['DISCONNECTED'] + session['socket_hash'] = socket_hash + else: + context_tracker.end_session(session_id, socket_hash) + +def restore_session_from_data(data:dict, session:DictProxy, force:bool, filter_keys:bool)->None: + try: + for key, value in data.items(): + if key in session: + if filter_keys and key in save_session_keys_except: + continue + if isinstance(value, dict) and value and isinstance(session[key], dict): + nested = session[key] + restore_session_from_data(value, nested, force, filter_keys) + session[key] = nested + else: + if not force: + if value is None and session[key] is not None: + continue + session[key] = value + except Exception as e: + DependencyError(e) + error = f'restore_session_from_data(): {e}' + exception_alert(session['id'], error) + +def reset_ebook_session(session_id:str, force:bool, filter_keys:bool)->None: + session = context.get_session(session_id) + data = { + "ebook": None, + "ebook_textarea_src": None, + "process_dir": None, + "chapters_dir": None, + "sentences_dir": None, + "epub_path": None, + "final_name": None, + "filename_noext": None, + "cover": None, + "blocks_orig": {}, + "blocks_saved": {}, + "blocks_current": {}, + "blocks_orig_json": None, + "blocks_saved_json": None, + "blocks_current_db": None, + "audiobook_overridden": None, + "metadata": { + "title": None, + "creator": None, + "contributor": None, + "language": None, + "identifier": None, + "publisher": None, + "date": None, + "description": None, + "subject": None, + "rights": None, + "format": None, + "type": None, + "coverage": None, + "relation": None, + "Source": None, + "Modified": None, + } + } + restore_session_from_data(data, session, force, filter_keys=filter_keys) + +def cleanup_models_cache()->None: + try: + active_models = { + cache + for session in context.sessions.values() + for cache in (session.get('model_cache'), session.get('model_zs_cache'), session.get('stanza_cache')) + if cache is not None + } + for key in list(loaded_tts.keys()): + if key not in active_models: + del loaded_tts[key] + gc.collect() + except Exception as e: + error = f"cleanup_models_cache() error: {e}" + print(error) + +def show_alert(session_id:str|None, state:dict|None)->None: + if state is not None: + if state.get('msg'): + print(state['msg'].replace('<br/>', '\n')) + if session_id is not None: + session = context.get_session(session_id) + if session.get('is_gui_process'): + if isinstance(state, dict): + if state['type'] is not None: + if state['type'] == 'error': + raise gr.Error(state['msg']) + elif state['type'] == 'warning': + gr.Warning(state['msg']) + elif state['type'] == 'info': + gr.Info(state['msg']) + elif state['type'] == 'success': + gr.Success(state['msg']) + +def exception_alert(session_id:str|None, error:str|None)->None: + if error is not None: + print(error.replace('<br/>', '\n')) + if session_id is not None: + session = context.get_session(session_id) + if session and session.get('id', False): + session['status'] = status_tags['READY'] + if session['is_gui_process']: + raise gr.Error(error) + +def get_all_ip_addresses()->list: + ip_addresses = [] + for interface, addresses in psutil.net_if_addrs().items(): + for address in addresses: + if address.family in [socket.AF_INET, socket.AF_INET6]: + ip_addresses.append(address.address) + return ip_addresses diff --git a/lib/gradio.py b/lib/gradio.py new file mode 100644 index 0000000..5825e7e --- /dev/null +++ b/lib/gradio.py @@ -0,0 +1,4028 @@ +from lib.core import * + +def build_interface(args:dict)->gr.Blocks: + from lib.classes.tts_engines.common.preset_loader import load_engine_presets + try: + script_mode = args['script_mode'] + is_gui_process = args['is_gui_process'] + is_gui_shared = args['share'] + title = 'Ebook2Audiobook' + gr_glassmask_msg = 'Initialization, please wait…' + models = None + language_options = [ + ( + f"{details['name']} - {details['native_name']}" if details['name'] != details['native_name'] else details['name'], + lang + ) + for lang, details in language_mapping.items() + ] + translate_options = [] + voice_options = [] + tts_engine_options = [] + custom_model_options = [] + fine_tuned_options = [] + audiobook_options = [] + options_output_split_hours = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12'] + page_size = 15 + visible_gr_tab_xtts_params = interface_component_options['gr_tab_xtts_params'] + visible_gr_tab_bark_params = interface_component_options['gr_tab_bark_params'] + visible_gr_group_voice_file = interface_component_options['gr_group_voice_file'] + visible_gr_group_custom_model = interface_component_options['gr_group_custom_model'] + js_hide_elements = 'document.querySelector("#ebook_textarea_toolbar")?.remove();' + js_show_elements = 'window.gr_ebook_textarea_counter();' + theme = gr.themes.Origin( + primary_hue='green', + secondary_hue='amber', + neutral_hue='gray', + radius_size='lg', + font_mono=['JetBrains Mono', 'monospace', 'Consolas', 'Menlo', 'Liberation Mono'] + ) + header_css = ''' + <style> + /* Global Scrollbar Customization */ + /* The entire scrollbar */ + ::-webkit-scrollbar { + width: 6px !important; + height: 6px !important; + cursor: pointer !important;; + } + /* The scrollbar track (background) */ + ::-webkit-scrollbar-track { + background: none transparent !important; + border-radius: 6px !important; + } + /* The scrollbar thumb (scroll handle) */ + ::-webkit-scrollbar-thumb { + background: #c09340 !important; + border-radius: 6px !important; + } + /* The scrollbar thumb on hover */ + ::-webkit-scrollbar-thumb:hover { + background: #ff8c00 !important; + } + /* Firefox scrollbar styling */ + html { + scrollbar-width: thin !important; + scrollbar-color: #c09340 none !important; + } + button:disabled { + pointer-events: none; + } + button div.wrap span { + display: none !important; + } + button div.wrap::after { + content: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='%231E90FF' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'><path d='M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4'/><polyline points='17 8 12 3 7 8'/><line x1='12' y1='3' x2='12' y2='15'/></svg>") !important; + width: 24px !important; + height: 24px !important; + display: inline-block !important; + vertical-align: middle !important; + } + body:has(#gr_convert_btn:disabled) table.file-preview button.label-clear-button { + display: none !important; + } + span[data-testid="block-info"] { + font-size: 12px !important; + } + ///////////////////// + .wrap-inner { + border: 1px solid #666666; + } + .no-wrap { + flex-wrap: nowrap !important; + } + .selected { + color: var(--secondary-500) !important; + text-shadow: 0.3px 0.3px 0.3px #303030; + } + .overflow-menu { + display: none !important; + } + .gr-glass-mask { + z-index: 9999 !important; + position: fixed !important; + top: 0 !important; + left: 0 !important; + width: 100vw !important; + height: 100vh !important; + background: rgba(0,0,0,0.5) !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + font-size: 1.2rem !important; + color: #ffffff !important; + text-align: center !important; + border: none !important; + opacity: 1; + pointer-events: all !important; + } + .gr-glass-mask.hide { + animation: fadeOut 2s ease-out 2s forwards !important; + } + .small-btn{ + background: var(--block-background-fill) !important; + font-size: 22px !important; + width: 60px !important; + height: 100% !important; + margin: 0 !important; + padding: 0 !important; + } + .small-btn:hover { + background: var(--button-primary-background-fill-hover) !important; + font-size: 28px !important; + } + .small-btn-red{ + background: var(--block-background-fill) !important; + font-size: 22px !important; + width: 60px !important; + height: 60px !important; + margin: 0 !important; + padding: 0 !important; + } + .small-btn-red:hover { + background-color: #ff5050 !important; + font-size: 28px !important; + } + .small-btn-lock{ + background: var(--block-background-fill) !important; + font-size: 18px !important; + width: 60px !important; + height: 60px !important; + margin: 0 !important; + padding: 0 !important; + } + .small-btn-lock:hover { + background-color: #752eb2 !important; + font-size: 20px !important; + } + .small-btn-lock:active { + background: var(--body-text-color) !important; + font-size: 20px !important; + color: var(--body-background-fill) !important; + } + .small-btn:active, .small-btn-red:active { + background: var(--body-text-color) !important; + font-size: 30px !important; + color: var(--body-background-fill) !important; + } + .micro-btn{ + font-size: 16px !important; + background: var(--block-background-fill) !important; + width: 26px !important; + height: 26px !important; + margin: 0 !important; + padding: 0 !important; + border-radius: var(--radius-full) !important; + } + .micro-btn:hover { + background-color: #ff5050 !important; + } + .micro-btn:active { + background: var(--body-text-color) !important; + color: var(--body-background-fill) !important; + } + .file-preview-holder { + height: 116px !important; + overflow: auto !important; + } + .progress-bar.svelte-ls20lj { + background: var(--secondary-500) !important; + } + .file-preview-holder { + height: auto !important; + min-height: 0 !important; + max-height: none !important; + } + /////////////////// + .gr-tab { + padding: 0 3px 0 3px !important; + margin: 0 !important; + border: none !important; + } + .gr-col { + padding: 0 6px 0 6px !important; + margin: 0 !important; + border: none !important; + } + .gr-group-main > div { + background: none !important; + border-radius: var(--radius-md) !important; + } + .gr-group > div { + background: none !important; + padding: 0 !important; + margin: 0 !important; + border-radius: 0 var(--radius-md) var(--radius-md) var(--radius-md) !important; + } + .gr-group-sides-padded{ + background: none !important; + margin: 0 var(--size-2) 0 var(--size-2)!important;; + border-radius: 0 var(--radius-md) var(--radius-md) var(--radius-md) !important; + } + .gr-group-convert-btn{ + margin: var(--size-2) !important;; + border-radius: var(--radius-md) !important; + } + .gr-label textarea[data-testid="textbox"]{ + padding: 0 0 0 3px !important; + margin: 0 !important; + text-align: left !important; + font-weight: normal !important; + height: auto !important; + font-size: 12px !important; + border: none !important; + overflow-y: hidden !important; + line-height: 12px !important; + } + .gr-markdown p { + margin-top: 8px !important; + width: 90px !important; + padding: 0 !important; + border-radius: var(--radius-md) var(--radius-md) 0 0 !important; + background: var(--block-background-fill) !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + text-align: center !important; + } + .gr-markdown-span { + margin-top: 8px !important; + width: 90px !important; + padding: 0 !important; + border-radius: var(--radius-md) var(--radius-md) 0 0 !important; + background: var(--block-background-fill) !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + text-align: center !important; + } + .gr-markdown-output-split-hours { + overflow: hidden !important; + background: var(--block-background-fill) !important; + border-radius: 0 !important; + font-size: 12px !important; + text-align: center !important; + vertical-align: middle !important; + padding-top: 4px !important; + padding-bottom: 4px !important; + white-space: nowrap !important; + } + .gr-voice-player { + margin: 0 !important; + padding: 0 !important; + width: 60px !important; + height: 60px !important; + background: var(--block-background-fill) !important; + } + #gr_row_language { + align-items: stretch !important; + } + #gr_row_language > * { + margin-top: 0 !important; + margin-bottom: 0 !important; + } + #gr_translate_enabled { + display: flex !important; + align-items: center !important; + justify-content: center !important; + padding: 0 !important; + } + #gr_translate_enabled > *, + #gr_translate_enabled label, + #gr_translate_enabled .wrap { + margin: 0 !important; + padding: 0 !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + width: 100% !important; + height: 100% !important; + } + .play-pause-button:hover svg { + fill: #ffab00 !important; + stroke: #ffab00 !important; + transform: scale(1.2) !important; + } + .gr-convert-btn { + font-size: 30px !important; + } + .gr-convert-btn:hover { background-color: #34d058 !important; } + .gr-convert-btn:active, .button-red:active { + background: var(--body-text-color) !important; + color: var(--body-background-fill) !important; + } + [id^="block_"]:has(input[type="checkbox"]:checked) { + border-left: 3px solid #22c55e !important; + } + [id^="block_"]:has(input[type="checkbox"]:checked) > div { + background-color: rgba(34, 197, 94, 0.08) !important; + } + [id^="block_"]:has(input[type="checkbox"]:not(:checked)) { + border-left: 3px solid #ef4444 !important; + } + [id^="block_"]:has(input[type="checkbox"]:not(:checked)) > div { + background-color: rgba(239, 68, 68, 0.08) !important; + } + //////////////////// + #gr_ebook_textarea { + height: auto !important; + min-height: 55px !important; + display: flex !important; + flex-direction: column !important; + align-items: center !important; + justify-content: center !important; + } + #gr_ebook_textarea label, #gr_custom_model_file label { + background: none !important; + border: none !important; + } + #gr_audiobook_player label { + display: none !important; + } + #gr_ebook_src, #gr_custom_model_file, #gr_voice_file { + height: auto !important; + min-height: 100px !important; + display: flex !important; + flex-direction: column !important; + align-items: center !important; + justify-content: center !important; + } + #gr_ebook_src button>div, #gr_ebook_textarea button>div, #gr_custom_model_file button>div, #gr_voice_file button>div { + font-size: 12px !important; + } + #gr_ebook_src .empty, #gr_ebook_textarea .empty, #gr_custom_model_file .empty, #gr_voice_file .empty, + #gr_ebook_src .wrap, #gr_ebook_textarea .wrap, #gr_custom_model_file .wrap, #gr_voice_file .wrap { + height: 100% !important; + min-height: 100px !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + } + #gr_ebook_src button[aria-label="common.upload"], #gr_ebook_textarea button[aria-label="common.upload"], #gr_custom_model_file button[aria-label="common.upload"], #gr_voice_file button[aria-label="common.upload"] { + display: none !important; + } + #gr_ebook_src .file-preview-holder { + padding-top: 16px !important; + } + .gr-voice-highlight-css { display: none !important; } + #gr_ebook_src table.file-preview tbody > tr.file:hover { + background: var(--color-accent-soft) !important; + } + #gr_voice_selected_filename, #gr_custom_model_train_link { + display: flex !important; + align-items: center !important; + margin: auto !important; + padding-left: 6px !important; + overflow: hidden !important; + text-overflow: ellipsis !important; + white-space: nowrap !important; + background: var(--block-background-fill) !important; + width: 100% !important; + height: 100% !important; + } + #gr_voice_selected_filename p, #gr_custom_model_train_link p { + margin: auto !important; + vertical-align: middle !important; + overflow: hidden !important; + text-overflow: ellipsis !important; + background: var(--block-background-fill) !important; + width: 100% !important; + height: 100% !important; + } + #gr_voice_selected_filename a, #gr_custom_model_train_link a { + text-decoration: none !important; + } + #gr_custom_model_file [aria-label="Clear"], #gr_voice_file [aria-label="Clear"] { + display: none !important; + } + #gr_fine_tuned_list { + height: 80px !important; + } + #gr_voice_list { + height: 60px !important; + } + #gr_output_format_list { + height: 103px !important; + } + #gr_row_output_split_hours { + border-radius: 0 !important; + } + #gr_audiobook_sentence textarea{ + margin: auto !important; + text-align: center !important; + } + #gr_session textarea, #gr_progress textarea { + overflow: hidden !important; + overflow-y: auto !important; + scrollbar-width: none !important; + } + #gr_group_progress .progress-bar, #gr_group_progress [role="progressbar"] > div { + background-color: #ff007f !important; + background-image: none !important; + } + #gr_progress { + height: 100px !important; + min-height: 100px !important; + max-height: 100px !important; + resize: none; + } + #gr_session textarea::-webkit-scrollbar, #gr_progress textarea::-webkit-scrollbar { + display: none !important; + } + #gr_ebook_mode span[data-testid="block-info"], + #gr_language span[data-testid="block-info"], + #gr_voice_list span[data-testid="block-info"], + #gr_device span[data-testid="block-info"], + #gr_tts_engine_list span[data-testid="block-info"], + #gr_output_split_hours span[data-testid="block-info"], + #gr_session span[data-testid="block-info"], + #gr_custom_model_list span[data-testid="block-info"], + #gr_audiobook_sentence span[data-testid="block-info"], + #gr_audiobook_list span[data-testid="block-info"], + #gr_progress span[data-testid="block-info"]{ + display: none !important; + } + #gr_row_ebook_mode { align-items: center !important; } + #gr_blocks_preview { + align-self: center !important; + overflow: visible !important; + padding: 20px 0 20px 10px !important; + } + #gr_group_output_split { + border-radius: 0 !important; + } + #gr_tts_rating { + overflow: hidden !important; + } + #gr_row_voice_player, #gr_row_custom_model_list, #gr_row_session, #gr_row_audiobook_list { + height: 60px !important; + } + #gr_audiobook_player :is(.volume, .empty, .source-selection, .control-wrapper, .settings-wrapper, label), #gr_audiobook_files label[data-testid="block-label"] { + display: none !important; + } + #gr_audiobook_player audio { + width: 100% !important; + padding-top: 10px !important; + padding-bottom: 10px !important; + border-radius: 0px !important; + background-color: #ebedf0 !important; + color: #ffffff !important; + } + #gr_audiobook_player audio::-webkit-media-controls-panel { + width: 100% !important; + padding-top: 10px !important; + padding-bottom: 10px !important; + border-radius: 0px !important; + background-color: #ebedf0 !important; + color: #ffffff !important; + } + #gr_voice_player_hidden { + z-index: -100 !important; + position: absolute !important; + overflow: hidden !important; + margin: 0 !important; + padding: 0 !important; + width: 60px !important; + height: 60px !important; + } + #gr_session_update, #gr_restore_session, #gr_save_session, + #gr_audiobook_vtt, #gr_playback_time { + display: none !important; + } + #gr_blocks_nav { + overflow:hidden !important; + display: flex !important; + align-items: center !important; + justify-content: center !important; + } + #gr_blocks_nav p { + white-space:nowrap !important; + overflow:hidden !important; + font-size: 16px !important; + text-align: center !important; + } + #gr_row_buttons { + justify-content: center !important; + gap: 100px !important; + } + #gr_blocks_markdown { + background: var(--body-background-fill) !important; + width: 100% !important; + text-align: center !important; + display: flex !important; + justify-content: center !important; + align-items: center !important; + padding-bottom: 20px !important; + } + #gr_blocks_markdown p { + background: var(--body-background-fill) !important; + width: 100% !important; + font-size: 18px !important; + font-weight: bold !important; + } + /////////// + .fade-in { + animation: fadeIn 1s ease-in !important; + display: inline-block !important; + } + @keyframes fadeIn { + from { + opacity: 0; + visibility: visible !important; + } + to { + opacity: 1; + } + } + @keyframes fadeOut { + from { + opacity: 1; + } + to { + opacity: 0; + visibility: hidden; + pointer-events: none; + } + } + ////////// + #custom-gr-modal-container, + #custom-gr-modal-container .gr-modal { + position: fixed !important; + } + .hide-elem { + z-index: -1 !important; + position: absolute !important; + top: 0 !important; + left: 0 !important; + } + .gr-modal { + position: fixed !important; + top: 0 !important; left: 0 !important; + width: 100% !important; height: 100% !important; + background-color: rgba(0, 0, 0, 0.5) !important; + z-index: 9999 !important; + display: flex !important; + justify-content: center !important; + align-items: center !important; + } + .gr-modal-content { + background-color: #333 !important; + padding: 20px !important; + border-radius: 9px !important; + text-align: center !important; + max-width: 300px !important; + height: auto !important; + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5) !important; + border: 2px solid #FFA500 !important; + color: white !important; + position: relative !important; + } + .gr-modal-content p { + overflow-wrap: break-word; + word-break: break-word; + white-space: normal; + } + .confirm-buttons { + display: flex !important; + justify-content: space-evenly !important; + margin-top: 20px !important; + } + .confirm-buttons button { + padding: 10px 20px !important; + border: none !important; + border-radius: 6px !important; + font-size: 16px !important; + cursor: pointer !important; + } + .accordion-block-even > button, .accordion-block-odd > button { + padding: 10px 0 10px 0 !important; + } + .accordion-block-even, .accordion-block-even div label textarea, .accordion-block-even .wrap { + background: var(--table-even-background-fill) !important; + } + .accordion-block-odd, .accordion-block-odd div label textarea, .accordion-block-odd .wrap { + background: var(--table-odd-background-fill) !important; + } + .accordion-block-even:hover, + .accordion-block-odd:hover { + background: rgba(255, 200, 50, 0.3) !important; + } + .accordion-block-voice-list { + margin: auto !important; + padding: 0 16px 0 0 !important; + } + .gr-blocks-buttons { + display: flex !important; + justify-content: space-evenly !important; + margin-top: 12px !important; + margin-bottom: 12px !important; + } + .gr-blocks-buttons button { + padding: 12px !important; + border: none !important; + border-radius: 9px !important; + font-size: 16px !important; + cursor: pointer !important; + } + .gr-blocks-buttons:hover { background-color: #34d058 !important; } + .gr-blocks-buttons:active, .button-red:active { + background: var(--body-text-color) !important; + color: var(--body-background-fill) !important; + } + .accordion-block-keep, .accordion-block-keep .wrap{ + background: none !important; + } + .accordion-block-reset { + margin-left: 30px !important; + margin-right: 30px !important; + border-radius: 9px !important; + } + .button-green { background-color: #28a745 !important; color: white !important; } + .button-green:hover { background-color: #34d058 !important; } + .button-green:active, .button-red:active { + background: var(--body-text-color) !important; + color: var(--body-background-fill) !important; + } + .button-red {background-color: #dc3545 !important; color: white !important; } + .button-red:hover { background-color: #ff6f71 !important; } + .button-green:active, .button-red:active { + background: var(--body-text-color) !important; + color: var(--body-background-fill) !important; + } + .spinner { + margin: 15px auto !important; + border: 4px solid rgba(255, 255, 255, 0.2) !important; + border-top: 4px solid #FFA500 !important; + border-radius: 50% !important; + width: 30px !important; + height: 30px !important; + animation: spin 1s linear infinite !important; + } + @keyframes spin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } + } + </style> + ''' + + with gr.Blocks(theme=theme, title=title, css=header_css, delete_cache=(604800, 86400)) as app: + with gr.Group(visible=True, elem_id='gr_group_main', elem_classes='gr-group-main') as gr_group_main: + with gr.Tabs(elem_id='gr_tabs') as gr_tabs: + with gr.Tab('Dashboard', elem_id='gr_tab_main', elem_classes='gr-tab') as gr_tab_main: + with gr.Row(elem_id='gr_row_tab_main'): + with gr.Column(elem_id='gr_col_1', elem_classes=['gr-col'], scale=3): + with gr.Group(elem_id='gr_group_ebook_src', elem_classes=['gr-group']): + gr_import_markdown = gr.Markdown(elem_id='gr_import_markdown', elem_classes=['gr-markdown'], value='Import') + gr_ebook_src = gr.File(show_label=False, label='-', elem_id='gr_ebook_src', visible=True, file_types=ebook_formats, file_count=ebook_modes['SINGLE'], allow_reordering=True, height=100) + gr_voice_highlight_css = gr.HTML(value='', elem_classes=['gr-voice-highlight-css']) + gr_ebook_textarea = gr.Textbox(show_label=True, label='Text Prompt', elem_id='gr_ebook_textarea', visible=False, lines=8, max_length=max_ebook_textarea_length) + with gr.Row(elem_id='gr_row_ebook_mode') as gr_row_ebook_mode: + gr_ebook_mode = gr.Dropdown(label='', elem_id='gr_ebook_mode', choices=[('File',ebook_modes['SINGLE']), ('Directory',ebook_modes['DIRECTORY']), ('Text',ebook_modes['TEXT'])], interactive=True, scale=2) + gr_blocks_preview = gr.Checkbox(label='Chapters Preview', elem_id='gr_blocks_preview', value=False, interactive=True, scale=1) + with gr.Group(elem_id='gr_group_language', elem_classes=['gr-group']): + gr_language_markdown = gr.Markdown(elem_id='gr_language_markdown', elem_classes=['gr-markdown'], value='Language') + with gr.Row(elem_id='gr_row_language') as gr_row_language: + gr_language = gr.Dropdown(show_label=False, elem_id='gr_language', choices=language_options, value=default_language_code, type='value', interactive=True, scale=2) + gr_translate_enabled = gr.Checkbox(label='Translate', elem_id='gr_translate_enabled', value=False, interactive=True, scale=1, min_width=120) + gr_translate = gr.Dropdown(show_label=False, elem_id='gr_translate', choices=[], value=None, type='value', interactive=True, visible=False, scale=2) + gr_group_voice_file = gr.Group(elem_id='gr_group_voice_file', elem_classes=['gr-group'], visible=visible_gr_group_voice_file) + with gr_group_voice_file: + gr_voice_markdown = gr.Markdown(elem_id='gr_voice_markdown', elem_classes=['gr-markdown'], value='Voices') + gr_voice_file = gr.File(show_label=False, label='Upload Voice', elem_id='gr_voice_file', file_types=voice_formats, value=None, height=100) + with gr.Row(elem_id='gr_row_voice_player') as gr_row_voice_player: + gr_voice_player_hidden = gr.Audio(elem_id='gr_voice_player_hidden', type='filepath', interactive=False, waveform_options=gr.WaveformOptions(show_recording_waveform=False), show_download_button=False, container=False, visible='hidden', show_share_button=True, show_label=False, scale=0, min_width=60) + gr_voice_play = gr.Button('▶', elem_id='gr_voice_play', elem_classes=['small-btn'], variant='secondary', interactive=True, visible=False, scale=0, min_width=60) + gr_voice_list = gr.Dropdown(label='Voices', elem_id='gr_voice_list', choices=voice_options, type='value', interactive=True, scale=2) + gr_voice_selected_filename = gr.Markdown(value='', elem_id='gr_voice_selected_filename', elem_classes=['gr-markdown'], visible=False) + gr_voice_del_btn = gr.Button('🗑', elem_id='gr_voice_del_btn', elem_classes=['small-btn-red'], variant='secondary', interactive=True, visible=False, scale=0, min_width=60) + with gr.Group(elem_id='gr_group_device', elem_classes=['gr-group']): + gr_device_markdown = gr.Markdown(elem_id='gr_device_markdown', elem_classes=['gr-markdown'], value='Processor') + gr_device = gr.Dropdown(label='', elem_id='gr_device', choices=[(k, v['proc']) for k, v in devices.items()], type='value', value=default_device, interactive=True) + with gr.Column(elem_id='gr_col_2', elem_classes=['gr-col'], scale=3): + with gr.Group(elem_id='gr_group_tts_engine', elem_classes=['gr-group']): + gr_tts_rating = gr.Markdown(elem_id='gr_tts_rating', elem_classes=['gr-markdown'], value='TTS Engine') + gr_tts_engine_list = gr.Dropdown(label='', elem_id='gr_tts_engine_list', choices=tts_engine_options, type='value', interactive=True) + with gr.Group(elem_id='gr_group_models', elem_classes=['gr-group']): + gr_models_markdown = gr.Markdown(elem_id='gr_models_markdown', elem_classes=['gr-markdown'], value='Models') + gr_fine_tuned_list = gr.Dropdown(label='Fine Tuned Preset Models', elem_id='gr_fine_tuned_list', choices=fine_tuned_options, type='value', interactive=True) + gr_group_custom_model = gr.Group(visible=False) + with gr_group_custom_model: + gr_custom_model_file = gr.File(show_label=True, label=f"Upload a ZIP File", elem_id='gr_custom_model_file', value=None, file_types=['.zip'], height=100) + gr_row_custom_model_list = gr.Row(elem_id='gr_row_custom_model_list') + with gr_row_custom_model_list: + gr_custom_model_list = gr.Dropdown(label='', elem_id='gr_custom_model_list', choices=custom_model_options, type='value', interactive=True, scale=2) + gr_custom_model_train_link = gr.Markdown(value='<a href="https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu" target="_blank" rel="noopener noreferrer">Create My Own Model</a>', elem_id='gr_custom_model_train_link', elem_classes=['gr-markdown'], visible=True) + gr_custom_model_del_btn = gr.Button('🗑', elem_id='gr_custom_model_del_btn', elem_classes=['small-btn-red'], variant='secondary', interactive=True, visible=False, scale=0, min_width=60) + with gr.Group(elem_id='gr_group_output_format'): + gr_output_markdown = gr.Markdown(elem_id='gr_output_markdown', elem_classes=['gr-markdown'], value='Output') + with gr.Row(elem_id='gr_row_output_format'): + gr_output_format_list = gr.Dropdown(label='Format', elem_id='gr_output_format_list', choices=output_formats, type='value', value=default_output_format, interactive=True, scale=1) + gr_output_channel_list = gr.Dropdown(label='Channel', elem_id='gr_output_channel_list', choices=['mono', 'stereo'], type='value', value=default_output_channel, interactive=True, scale=1) + with gr.Group(elem_id='gr_group_output_split'): + gr_output_split = gr.Checkbox(label='Split File', elem_id='gr_output_split', value=default_output_split, interactive=True) + gr_row_output_split_hours = gr.Row(elem_id='gr_row_output_split_hours', visible=False) + with gr_row_output_split_hours: + gr_output_split_hours_markdown = gr.Markdown(elem_id='gr_output_split_hours_markdown',elem_classes=['gr-markdown-output-split-hours'], value='Hours<br/>/ Part') + gr_output_split_hours = gr.Dropdown(label='', elem_id='gr_output_split_hours', choices=options_output_split_hours, type='value', value=default_output_split_hours, interactive=True, scale=1) + with gr.Group(elem_id='gr_group_session', elem_classes=['gr-group']): + gr_session_markdown = gr.Markdown(elem_id='gr_session_markdown', elem_classes=['gr-markdown'], value='Session') + gr_session_switch_disable_state = gr.State(None) + gr_session_switch_enable_state = gr.State(None) + with gr.Row(elem_id='gr_row_session'): + gr_session = gr.Textbox(label='', elem_id='gr_session', interactive=False) + gr_session_switch_btn = gr.Button('🔒︎', elem_id='gr_session_switch_btn', elem_classes=['small-btn-lock'], variant='secondary', visible=True, interactive=True, scale=0, min_width=60) + with gr.Tab('XTTS Settings', elem_id='gr_tab_xtts_params', elem_classes='gr-tab', visible=False) as gr_tab_xtts_params: + with gr.Group(elem_id='gr_group_xtts_params', elem_classes=['gr-group']): + gr_xtts_temperature = gr.Slider( + label='Temperature', + minimum=0.05, + maximum=5.0, + step=0.05, + value=float(default_engine_settings[TTS_ENGINES['XTTS']]['temperature']), + elem_id='gr_xtts_temperature', + info='Higher values lead to more creative, unpredictable outputs. Lower values make it more monotone.' + ) + gr_xtts_length_penalty = gr.Slider( + label='Length Penalty', + minimum=0.3, + maximum=5.0, + step=0.1, + value=float(default_engine_settings[TTS_ENGINES['XTTS']]['length_penalty']), + elem_id='gr_xtts_length_penalty', + info='Adjusts how much longer sequences are preferred. Higher values encourage the model to produce longer and more natural speech.', + visible=False + ) + gr_xtts_num_beams = gr.Slider( + label='Number Beams', + minimum=1, + maximum=10, + step=1, + value=int(default_engine_settings[TTS_ENGINES['XTTS']]['num_beams']), + elem_id='gr_xtts_num_beams', + info='Controls how many alternative sequences the model explores. Higher values improve speech coherence and pronunciation but increase inference time.', + visible=False + ) + gr_xtts_repetition_penalty = gr.Slider( + label='Repetition Penalty', + minimum=1.0, + maximum=5.0, + step=0.1, + value=float(default_engine_settings[TTS_ENGINES['XTTS']]['repetition_penalty']), + elem_id='gr_xtts_repetition_penalty', + info='Penalizes repeated phrases. Higher values reduce repetition.' + ) + gr_xtts_top_k = gr.Slider( + label='Top-k Sampling', + minimum=10, + maximum=100, + step=1, + value=int(default_engine_settings[TTS_ENGINES['XTTS']]['top_k']), + elem_id='gr_xtts_top_k', + info='Lower values restrict outputs to more likely words and increase speed at which audio generates.' + ) + gr_xtts_top_p = gr.Slider( + label='Top-p Sampling', + minimum=0.1, + maximum=1.0, + step=0.01, + value=float(default_engine_settings[TTS_ENGINES['XTTS']]['top_p']), + elem_id='gr_xtts_top_p', + info='Controls cumulative probability for word selection. Lower values make the output more predictable and increase speed at which audio generates.' + ) + gr_xtts_speed = gr.Slider( + label='Speed', + minimum=0.5, + maximum=3.0, + step=0.1, + value=float(default_engine_settings[TTS_ENGINES['XTTS']]['speed']), + elem_id='gr_xtts_speed', + info='Adjusts how fast the narrator will speak.' + ) + gr_xtts_enable_text_splitting = gr.Checkbox( + label='Enable Text Splitting', + value=default_engine_settings[TTS_ENGINES['XTTS']]['enable_text_splitting'], + elem_id='gr_xtts_enable_text_splitting', + info='Coqui-tts builtin text splitting. Can help against hallucinations bu can also be worse.', + visible=False + ) + with gr.Tab('Bark Settings', elem_id='gr_tab_bark_params', elem_classes='gr-tab', visible=False) as gr_tab_bark_params: + gr.Markdown( + elem_id='gr_markdown_tab_bark_params', + value=''' + ### Customize BARK Parameters + Adjust the settings below to influence how the audio is generated, emotional and voice behavior random or more conservative + ''' + ) + with gr.Group(elem_id='gr_group_bark_params', elem_classes=['gr-group']): + gr_bark_text_temp = gr.Slider( + label='Text Temperature', + minimum=0.0, + maximum=1.0, + step=0.01, + value=float(default_engine_settings[TTS_ENGINES['BARK']]['text_temp']), + elem_id='gr_bark_text_temp', + info='Higher values lead to more creative, unpredictable outputs. Lower values make it more conservative.' + ) + gr_bark_waveform_temp = gr.Slider( + label='Waveform Temperature', + minimum=0.0, + maximum=1.0, + step=0.01, + value=float(default_engine_settings[TTS_ENGINES['BARK']]['waveform_temp']), + elem_id='gr_bark_waveform_temp', + info='Higher values lead to more creative, unpredictable outputs. Lower values make it more conservative.' + ) + + with gr.Group(elem_id='gr_group_progress', elem_classes=['gr-group-sides-padded']): + gr_progress_markdown = gr.Markdown(elem_id='gr_progress_markdown', elem_classes=['gr-markdown'], value='Status') + gr_progress = gr.Textbox(elem_id='gr_progress', label='', interactive=False, visible=True) + gr_progress_bar = gr.Progress(track_tqdm=True) + + with gr.Group(elem_id='gr_group_audiobook_list', elem_classes=['gr-group-sides-padded'], visible=True) as gr_group_audiobook_list: + gr_audiobook_markdown = gr.Markdown(elem_id='gr_audiobook_markdown', elem_classes=['gr-markdown'], value='Audiobook') + gr_audiobook_vtt = gr.Textbox(elem_id='gr_audiobook_vtt', label='', interactive=False, visible='hidden') + gr_playback_time = gr.Number(elem_id="gr_playback_time", label='', interactive=False, visible='hidden', value=0.0) + gr_audiobook_sentence = gr.Textbox(elem_id='gr_audiobook_sentence', label='', value='…', interactive=False, lines=3, max_lines=3) + gr_audiobook_player = gr.Audio(elem_id='gr_audiobook_player', label='', type='filepath', autoplay=False, interactive=False, waveform_options=gr.WaveformOptions(show_recording_waveform=False), show_download_button=False, show_share_button=False, container=True, visible=True) + with gr.Row(elem_id='gr_row_audiobook_list', visible=True) as gr_row_audiobook_list: + gr_audiobook_download_btn = gr.Button(elem_id='gr_audiobook_download_btn', value='↧', elem_classes=['small-btn'], variant='secondary', interactive=True, scale=0, min_width=60) + gr_audiobook_list = gr.Dropdown(elem_id='gr_audiobook_list', label='', choices=audiobook_options, type='value', interactive=True, scale=2) + gr_audiobook_del_btn = gr.Button(elem_id='gr_audiobook_del_btn', value='🗑', elem_classes=['small-btn-red'], variant='secondary', interactive=True, scale=0, min_width=60) + gr_audiobook_files = gr.Files(label='', elem_id='gr_audiobook_files', visible=False) + gr_audiobook_files_state = gr.State(False) + with gr.Group(elem_id='gr_group_convert_btn', elem_classes=['gr-group-convert-btn']) as gr_group_convert_btn: + gr_convert_btn = gr.Button(elem_id='gr_convert_btn', value='📚', elem_classes='gr-convert-btn', variant='primary', interactive=False) + + gr_blocks_page = gr.Number(value=0, visible=False, precision=0) + gr_blocks_data = gr.State([]) + gr_blocks_expands = gr.State([False] * page_size) + + with gr.Group(visible=False, elem_id='gr_group_blocks', elem_classes='gr-group-main') as gr_group_blocks: + gr_blocks_markdown = gr.Markdown(elem_id='gr_blocks_markdown', elem_classes=['gr-markdown'], value='') + with gr.Row(elem_id='gr_blocks_nav') as gr_blocks_nav: + gr_blocks_back_btn = gr.Button('◀', elem_id='gr_blocks_back_btn', interactive=False, scale=1) + gr_blocks_header = gr.Markdown('', elem_id='gr_blocks_header') + gr_blocks_next_btn = gr.Button('▶', elem_id='gr_blocks_next_btn', interactive=False, scale=1) + + block_components = [] + with gr.Column(elem_id='gr_column_blocks', elem_classes=['gr-col']): + for i in range(page_size): + acc_class = 'accordion-block-even' if i % 2 == 0 else 'accordion-block-odd' + with gr.Accordion( + f'Block {i}', + elem_id=f'block_{i}', + elem_classes=[acc_class], + visible=False, + open=False + ) as acc: + with gr.Row(elem_id=f'block_options_row_{i}', elem_classes=[acc_class, 'no-wrap']) as block_options_row: + acc_keep = gr.Checkbox( + label='', + elem_id=f'block_keep_{i}', + elem_classes=['accordion-block-keep'], + value=True, + interactive=True, + scale=0, + visible=True + ) + acc_voice_list = gr.Dropdown( + show_label=False, + elem_id=f'block_voice_{i}', + elem_classes=['accordion-block-voice-list'], + choices=voice_options, + type='value', + interactive=True, + scale=1 + ) + acc_reset_btn = gr.Button( + '↺', + elem_id=f'block_reset_{i}', + elem_classes=['accordion-block-reset'], + variant='secondary', + interactive=True, + scale=0, + min_width=40 + ) + acc_text = gr.Textbox( + show_label=False, + elem_id=f'block_text_{i}', + lines=18, + max_lines=18, + container=False, + interactive=True + ) + acc_reset_btn.click( + fn=lambda session, _i=i: _click_reset_block(session, _i), + inputs=[gr_session], + outputs=[acc_text] + ) + acc.expand( + fn=lambda expands, _i=i: [ + expands[j] if j != _i else True + for j in range(page_size) + ], + inputs=[gr_blocks_expands], + outputs=[gr_blocks_expands] + ) + acc.collapse( + fn=lambda expands, _i=i: [ + expands[j] if j != _i else False + for j in range(page_size) + ], + inputs=[gr_blocks_expands], + outputs=[gr_blocks_expands] + ) + block_components.append((acc, acc_keep, acc_voice_list, acc_text)) + + with gr.Row(elem_id='gr_row_buttons', visible=True) as gr_row_buttons: + gr_blocks_cancel_btn = gr.Button('🡄', elem_classes=['gr-blocks-buttons'], variant='stop', scale=0, size='md') + gr_blocks_confirm_btn = gr.Button('🡆', elem_classes=['gr-blocks-buttons'], variant='primary', scale=0, size='md') + + blocks_components_flat = [comp for quad in block_components for comp in quad] + blocks_keeps = [c[1] for c in block_components] + blocks_voices = [c[2] for c in block_components] + blocks_texts = [c[3] for c in block_components] + + gr_version_markdown = gr.Markdown(elem_id='gr_version_markdown', value=f''' + <div style="right:0;margin:auto;padding:10px;text-align:center"> + <a href="https://github.com/DrewThomasson/ebook2audiobook" style="text-decoration:none;font-size:14px" target="_blank"> + <b>{title}</b> <b style="color:orange; text-shadow: 0.3px 0.3px 0.3px #303030">{prog_version}</b></a> + </div> + ''' + ) + + gr_modal = gr.HTML(visible=False) + gr_glassmask = gr.HTML(gr_glassmask_msg, elem_id='gr_glassmask', elem_classes=['gr-glass-mask']) + gr_data_field_hidden = gr.Textbox(elem_id='gr_data_field_hidden', visible=False) + + gr_deletion_cancel_btn = gr.Button(elem_id='gr_deletion_cancel_btn', elem_classes=['hide-elem'], value='🡄', variant='stop', visible=True, scale=0, size='sm', min_width=0) + gr_deletion_confirm_btn = gr.Button(elem_id='gr_deletion_confirm_btn', elem_classes=['hide-elem'], value='🡆', variant='primary', visible=True, scale=0, size='sm', min_width=0) + + gr_override_cancel_btn = gr.Button(elem_id='gr_override_cancel_btn', elem_classes=['hide-elem'], value='🡄', variant='stop', visible=True, scale=0, size='sm', min_width=0) + gr_override_confirm_btn = gr.Button(elem_id='gr_override_confirm_btn', elem_classes=['hide-elem'], value='🡆', variant='primary', visible=True, scale=0, size='sm', min_width=0) + + gr_restore_session = gr.JSON(elem_id='gr_restore_session', visible='hidden') + gr_session_update = gr.State({'hash': None}) + gr_save_session = gr.JSON(elem_id='gr_save_session', visible='hidden') + + gr_event = gr.Number(value=0, visible=False, precision=0) + gr_blocks_event = gr.Number(value=0, visible=False, precision=0) + gr_end_event = gr.Number(value=0, visible=False, precision=0) + + gr_backup_session = gr.State(value=None) + gr_dummy_bool = gr.State(value=False) + + ############## End of Gradio Components creation + + def _disable_components(session_id:str, exceptions:list|None=None)->tuple: + if session_id is None: + outputs = tuple(gr.update() for _ in range(22)) + else: + if exceptions is None: + exceptions = [] + if 'gr_session_switch_btn' in exceptions: + outputs = tuple(gr.update(interactive=False) for _ in range(21)) + (gr.update(interactive=True),) + else: + outputs = tuple(gr.update(interactive=False) for _ in range(22)) + return outputs + + def _enable_components(session_id:str)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['status'] in [status_tags['READY'], status_tags['END']]: + session['status'] = status_tags['READY'] + session['cancellation_requested'] = False + outputs = list(gr.update(interactive=True) for _ in range(22)) + visible_custom_model_del_btn = True if session['custom_model'] is not None else False + enabled_convert_btn = False + if session['ebook_mode'] == ebook_modes['DIRECTORY']: + if session.get('ebook_list'): + enabled_convert_btn = True + elif session['ebook_mode'] == ebook_modes['SINGLE']: + if session.get('ebook_src'): + enabled_convert_btn = True + elif session['ebook_mode'] == ebook_modes['TEXT']: + enabled_convert_btn = True + return tuple(outputs) + (gr.update(interactive=True, visible=visible_custom_model_del_btn), gr.update(value=''), gr.update(interactive=enabled_convert_btn)) + except Exception as e: + error = f'_enable_components(): {e}' + exception_alert(session_id, error) + outputs = tuple(gr.update() for _ in range(25)) + return outputs + + def _disable_on_voice_upload()->tuple: + outputs = tuple([gr.update(interactive=False) for _ in range(10)]) + return outputs + (gr.update(visible='hidden'), gr.update(visible='hidden')) + + def _enable_on_voice_upload(session_id:str)->tuple: + session = context.get_session(session_id) + visible_buttons = 'hidden' + enabled_convert_btn = False + outputs = tuple([gr.update(interactive=True) for _ in range(9)]) + if session and session.get('id', False): + enabled_convert_btn = True if session['ebook'] is not None else enabled_convert_btn + visible_buttons = True if session['voice'] is not None else visible_buttons + return outputs + (gr.update(interactive=enabled_convert_btn), gr.update(visible=visible_buttons), gr.update(visible=visible_buttons)) + + def _disable_on_custom_upload()->tuple: + outputs = tuple([gr.update(interactive=False) for _ in range(11)]) + return outputs + (gr.update(visible='hidden'),) + + def _enable_on_custom_upload(custom_model:str|None, ebook_data:any, ebook_textarea:any)->tuple: + outputs = tuple([gr.update(interactive=True) for _ in range(10)]) + enabled_convert_btn = True if ebook_data or ebook_textarea else False + visible_custom_model_del_btn = True if custom_model is not None else False + return outputs + (gr.update(interactive=enabled_convert_btn), gr.update(visible=visible_custom_model_del_btn)) + + def _show_gr_modal(type:str, msg:str)->str: + return f''' + <div id="custom-gr_modal" class="gr-modal"> + <div class="gr-modal-content"> + <p style="color:#ffffff">{msg}</p> + {_show_gr_modal_buttons(type)} + </div> + </div> + ''' + + def _show_gr_modal_buttons(type:str)->str: + if type in [status_tags['DELETION'], status_tags['OVERRIDE']]: + cancel_btn = f'#gr_{type}_cancel_btn' + confirm_btn = f'#gr_{type}_confirm_btn' + return f''' + <div class="confirm-buttons"> + <button class="button-red" style="width:50px; height:50px" onclick="document.querySelector('{cancel_btn}').click()">✖</button> + <button class="button-green" style="width:50px; height:50px" onclick="document.querySelector('{confirm_btn}').click()">✔</button> + </div> + ''' + else: + return '<div class="spinner"></div>' + + def _yellow_stars(n:int): + return "".join( + "<span style='color:#f0bc00; font-size:12px'>★</span>" for _ in range(n) + ) + + def _color_box(value:int)->str: + if value <= 4: + color = "#4CAF50" # Green = low + elif value <= 8: + color = "#FF9800" # Orange = medium + else: + color = "#F44336" # Red = high + return f"<span style='background:{color};color:white; padding: 0 3px 0 3px; border-radius:3px; font-size:11px; white-space: nowrap'>{str(value)} GB</span>" + + def _show_rating(tts_engine:str)->str: + rating = default_engine_settings[tts_engine]['rating'] + return f''' + <div style="display:flex; justify-content:space-between; align-items:flex-end;"> + <span class="gr-markdown-span">TTS Engine</span> + <table style=" + display:inline-block; + border-collapse:collapse; + border:none; + margin:0; + padding:0; + font-size:12px; + line-height:1.2; /* compact, but no clipping */ + "> + <tr style="border:none; vertical-align:bottom;"> + <td style="padding:0 5px 0 2.5px; border:none; vertical-align:bottom;"> + <b>VRAM:</b> {_color_box(int(rating['VRAM']))} + </td> + <td style="padding:0 5px 0 2.5px; border:none; vertical-align:bottom;"> + <b>CPU:</b> {_yellow_stars(int(rating['CPU']))} + </td> + <td style="padding:0 5px 0 2.5px; border:none; vertical-align:bottom;"> + <b>RAM:</b> {_color_box(int(rating['RAM']))} + </td> + <td style="padding:0 5px 0 2.5px; border:none; vertical-align:bottom;"> + <b>Realism:</b> {_yellow_stars(int(rating['Realism']))} + </td> + </tr> + </table> + </div> + ''' + + def _is_valid_gradio_cache(path): + if not path or not os.path.isfile(path): + return False + path = os.path.normpath(path) + parent = os.path.dirname(path) + return ( + parent.startswith(gradio_cache_dir) and + len(os.path.basename(parent)) >= 32 + ) + + def _build_translate_targets(lang:str)->list: + try: + if not lang: + return [] + return ArgosTranslator().get_target_options(lang) + except Exception as e: + error = f'_build_translate_targets() error: {e}' + print(error) + return [] + + def _restore_interface(session_id:str, req:gr.Request)->tuple: + try: + nonlocal translate_options + session = context.get_session(session_id) + if session and session.get('id', False): + socket_hash = str(req.session_hash) + if not session.get(socket_hash): + outputs = tuple([gr.update() for _ in range(25)]) + return outputs + ebook_data = None + ebook_textarea = None + upload_mode = session['ebook_mode'] + ebook_file_count = ebook_modes['SINGLE'] + visible_ebook_src = False + visible_ebook_textarea = False + enabled_convert_btn = False + if session.get('ebook_mode') == ebook_modes['TEXT']: + ebook_textarea = session['ebook_textarea'] + visible_ebook_textarea = True + enabled_convert_btn = True + elif session.get('ebook_mode') == ebook_modes['DIRECTORY']: + ebook_file_count = ebook_modes['DIRECTORY'] + if session.get('ebook_list', None) is not None: + if len(session['ebook_list']) > 0: + ebook_data = [f for f in session['ebook_list'] if _is_valid_gradio_cache(f)] + if ebook_data: + enabled_convert_btn = True + else: + ebook_data = None + visible_ebook_src = True + elif session.get('ebook_mode') == ebook_modes['SINGLE']: + if _is_valid_gradio_cache(session['ebook_src']): + ebook_data = session['ebook_src'] + if ebook_data: + enabled_convert_btn = True + visible_ebook_src = True + visible_row_split_hours = True if session['output_split'] else False + visible_group_custom_model = visible_gr_group_custom_model if session['fine_tuned'] == 'internal' and session['tts_engine'] in tts_engines_with_custom_model else False + visible_voice_buttons = True if session.get('voice') is not None else False + visible_custom_model_del_btn = True if session['custom_model'] is not None else False + voice_file = session.get('voice') + translate_enabled_state = bool(session.get('translate_enabled')) + language = session.get('language') + translate = session.get('translate') + translate_options = _build_translate_targets(language) if language else [] + translate_codes = {o[1] for o in translate_options} + if translate not in translate_codes: + translate = translate_options[0][1] if translate_options else None + session['translate'] = translate + try: + session['translate_iso1'] = Lang(translate).pt1 + except Exception: + session['translate_iso1'] = None + translate_visible = translate_enabled_state and bool(translate_options) + return ( + gr.update(visible=visible_ebook_src, value=ebook_data, file_count=ebook_file_count), + gr.update(visible=visible_ebook_textarea, value=ebook_textarea), + gr.update(value=session['ebook_mode']), + gr.update(value=bool(session['blocks_preview'])), + gr.update(value=session['device']), + gr.update(value=session['language']), + gr.update(value=translate_enabled_state), + gr.update(visible=translate_visible, choices=translate_options, value=translate), + _update_gr_voice_list(session_id), + _update_gr_tts_engine_list(session_id), + gr.update(value=_show_rating(session['tts_engine'])), + _update_gr_custom_model_list(session_id), + _update_gr_fine_tuned_list(session_id), + gr.update(value=session['output_format']), + gr.update(value=session['output_channel']), + gr.update(value=bool(session['output_split'])), + gr.update(value=session['output_split_hours']), + gr.update(visible=visible_row_split_hours), + _update_gr_audiobook_list(session_id), + gr.update(visible=visible_group_custom_model), + gr.update(interactive=enabled_convert_btn), + gr.update(value=voice_file), + gr.update(visible=visible_voice_buttons), + gr.update(visible=visible_voice_buttons), + gr.update(label=f"Upload a {session['tts_engine'].upper()} ZIP file (Required: {', '.join(models[default_fine_tuned]['files'])})"), + gr.update(visible=visible_custom_model_del_btn) + ) + except Exception as e: + error = f'_restore_interface(): {e}' + exception_alert(session_id, error) + outputs = tuple([gr.update() for _ in range(25)]) + return outputs + + def _restore_audiobook_player(session_id:str, audiobook:str|None)->tuple: + try: + visible = True if audiobook is not None else False + return gr.update(visible=visible), gr.update(value=audiobook), gr.update(active=True) + except Exception as e: + error = f'_restore_audiobook_player(): {e}' + exception_alert(session_id, error) + outputs = tuple([gr.update() for _ in range(3)]) + return outputs + + def _refresh_interface(session_id:str)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['cancellation_requested']: + session['status'] = status_tags['READY'] + if session['status'] in [status_tags['READY'], status_tags['END']]: + visible_main = True + visible_xtts = False + visible_bark = False + visible_ebook_src = False + visible_ebook_textarea = False + enabled_convert_btn = False + ebook_data = None + ebook_textarea = None + if session['tts_engine'] == TTS_ENGINES['XTTS']: + visible_xtts = visible_gr_tab_xtts_params + elif session['tts_engine'] == TTS_ENGINES['BARK']: + visible_bark = visible_gr_tab_bark_params + if session['ebook_mode'] == ebook_modes['DIRECTORY']: + visible_ebook_src = True + ebook_data = session['ebook_list'] + elif session['ebook_mode'] == ebook_modes['SINGLE']: + visible_ebook_src = True + ebook_data = session['ebook_src'] + elif session['ebook_mode'] == ebook_modes['TEXT']: + visible_ebook_textarea = True + ebook_textarea = session['ebook_textarea'] + enabled_convert_btn = True if session['ebook_mode'] == ebook_modes['TEXT'] or ebook_data is not None else False + return ( + gr.update(value='', visible=False), gr.update(visible=visible_main), + gr.update(visible=visible_xtts), gr.update(visible=visible_bark), + gr.update(interactive=enabled_convert_btn), gr.update(visible=visible_ebook_src, value=ebook_data), gr.update(visible=visible_ebook_textarea, value=ebook_textarea), + gr.update(value=session['device']), gr.update(value=session['audiobook']), _update_gr_audiobook_list(session_id), + _update_gr_voice_list(session_id), gr.update(''), gr.update(value='') + ) + elif session['status'] in [status_tags['CONVERTING']]: + return ( + gr.update(), gr.update(), gr.update(), + gr.update(), gr.update(), gr.update(visible=True, value=session['ebook_list']), gr.update(), + gr.update(), gr.update(), gr.update(), + gr.update(), gr.update(), gr.update() + ) + except Exception as e: + error = f'_refresh_interface(): {e}' + exception_alert(session_id, error) + outputs = tuple([gr.update() for _ in range(13)]) + return outputs + + def _change_gr_audiobook_list(session_id:str, selected:str|None)->dict: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('audiobook') != selected: + session['audiobook'] = selected + visible = session['audiobook'] is not None + return gr.update(visible=visible) + except Exception as e: + error = f'_change_gr_audiobook_list(): {e}' + exception_alert(session_id, error) + return gr.update(visible=False) + + def _update_gr_audiobook_player(session_id:str)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['audiobook'] is not None: + vtt = Path(session['audiobook']).with_suffix('.vtt') + if not os.path.exists(session['audiobook']) or not os.path.exists(vtt): + error = f"{Path(session['audiobook']).name} does not exist!" + exception_alert(session_id, error) + return gr.update(value=0.0), gr.update(value=None), gr.update(value=None) + audio_info = mediainfo(session['audiobook']) + duration = audio_info.get('duration', False) + if duration: + session['duration'] = float(audio_info['duration']) + with open(vtt, "r", encoding="utf-8-sig", errors="replace") as f: + vtt_content = f.read() + return gr.update(value=0.0), gr.update(value=session['audiobook']), gr.update(value=vtt_content) + else: + error = f"{Path(session['audiobook']).name} corrupted or not encoded!" + exception_alert(session_id, error) + except Exception as e: + error = f'_update_gr_audiobook_player(): {e}' + exception_alert(session_id, error) + return gr.update(value=0.0), gr.update(value=None), gr.update(value=None) + + def _update_gr_glassmask(str:str=gr_glassmask_msg, attr:list=['gr-glass-mask'])->dict: + return gr.update(value=str, elem_id='gr_glassmask', elem_classes=attr) + + def _build_voice_highlight_css(row_index:int|None)->str: + """Emit a <style> block highlighting tr.file:nth-child(N+1) inside #gr_ebook_src, or '' to clear.""" + if row_index is None: + return '' + return ( + f'<style>#gr_ebook_src table.file-preview tbody > tr.file:nth-child({row_index + 1}) ' + f'{{ background: var(--color-accent-soft) !important; ' + f'box-shadow: inset 4px 0 0 var(--color-accent) !important; ' + f'font-weight: 600; }}</style>' + ) + + def _voice_player_visible(session)->bool: + """gr_row_voice_player hides only in DIRECTORY mode with no row currently selected.""" + if not session: + return True + if session.get('ebook_mode') != ebook_modes['DIRECTORY']: + return True + return bool(session.get('ebook_selected')) + + def _upload_gr_ebook_src(session_id:str, ebook_mode:str)->None: + if ebook_mode == ebook_modes['DIRECTORY']: + session = context.get_session(session_id) + if session and session.get('id', False): + session['ebook_selected'] = None + session['voice_map'] = {} + msg = 'Click on each file in the list to set its voice individually.' + show_alert(session_id, { + 'type': 'info', + 'msg': msg + }) + + def _change_gr_ebook_src(session_id:str, ebook_mode:str, data:any)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if (session.get('ebook_src') == data and ebook_mode == ebook_modes['SINGLE']) or (session.get('ebook_list') == data and ebook_mode == ebook_modes['DIRECTORY']): + return gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(value='') + if ebook_mode == ebook_modes['SINGLE']: + session['ebook_src'] = data + elif ebook_mode == ebook_modes['DIRECTORY']: + session['ebook_list'] = data + files = data or [] + abs_files = [os.path.abspath(f) for f in files] if isinstance(files, list) else [] + prev_map = dict(session.get('voice_map') or {}) # read once + default_voice = session.get('voice') + new_map = {p: (prev_map[p] if p in prev_map else default_voice) for p in abs_files} + session['voice_map'] = new_map + prev_selected = session.get('ebook_selected') + if prev_selected and prev_selected in abs_files: + new_row = abs_files.index(prev_selected) + if data is None: + session['cancellation_requested'] = True + else: + session['cancellation_requested'] = False + return ( + gr.update(), + gr.update(value=_build_voice_highlight_css(new_row)), + gr.update(), + gr.update(visible=True), + gr.update(value=Path(prev_selected).name, visible=True), + gr.update() + ) + else: + session['ebook_selected'] = None + voice_update = gr.update(value=session.get('voice')) if prev_selected else gr.update() + if data is None and session.get('status', None) in [status_tags['EDIT'], status_tags['CONVERTING']]: + session['cancellation_requested'] = True + msg = 'Cancellation requested, please wait…' + return gr.update(value=_show_gr_modal('wait', msg), visible=True), gr.update(value=''), voice_update, gr.update(visible=False), gr.update(value='', visible=False), gr.update(value='') + session['cancellation_requested'] = False + return gr.update(), gr.update(value=''), voice_update, gr.update(visible=False), gr.update(value='', visible=False), gr.update(value='') + if data is None: + if session.get('status', None) in [status_tags['EDIT'], status_tags['CONVERTING']]: + session['cancellation_requested'] = True + msg = 'Cancellation requested, please wait…' + return gr.update(value=_show_gr_modal('wait', msg), visible=True), gr.update(value=''), gr.update(), gr.update(), gr.update(), gr.update(value='') + session['cancellation_requested'] = False + except Exception as e: + error = f'_change_gr_ebook_src(): {e}' + exception_alert(session_id, error) + return gr.update(), gr.update(value=''), gr.update(), gr.update(), gr.update(), gr.update() + + def _select_gr_ebook_src(session_id:str, ebook_mode:str, ebook_src:list|None, evt:gr.SelectData)->tuple: + try: + session = context.get_session(session_id) + if not (session and session.get('id', False)): + return tuple(gr.update() for _ in range(4)) + if ebook_mode != ebook_modes['DIRECTORY'] or evt.index is None: + return gr.update(), gr.update(value=''), gr.update(), gr.update(value='', visible=False) + if session.get('status') != status_tags['READY']: + return tuple(gr.update() for _ in range(4)) + # evt.index can be int or (row, col) tuple — normalise. + row = evt.index[0] if isinstance(evt.index, (list, tuple)) else evt.index + live_list = ebook_src if isinstance(ebook_src, list) and ebook_src else None + ebook_list = live_list if live_list is not None else (session.get('ebook_list') or []) + if not isinstance(ebook_list, list) or row < 0 or row >= len(ebook_list): + return gr.update(), gr.update(value=''), gr.update(), gr.update(value='', visible=False) + abs_path = os.path.abspath(ebook_list[row]) + session['ebook_selected'] = abs_path + if live_list is not None and session.get('ebook_list') != live_list: + session['ebook_list'] = live_list + voice_map = session.get('voice_map') or {} + assigned_voice = voice_map[abs_path] if abs_path in voice_map else session.get('voice') + style = _build_voice_highlight_css(row) + filename = Path(abs_path).name + return ( + gr.update(value=assigned_voice, label='Voices'), + gr.update(value=style), + gr.update(visible=True), + gr.update(value=filename, visible=True), + ) + except Exception as e: + error = f'_select_gr_ebook_src(): {e}' + exception_alert(session_id, error) + return tuple(gr.update() for _ in range(4)) + + def _change_gr_ebook_textarea(session_id:str, ebook_textarea:str)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('ebook_textarea') != ebook_textarea: + session['ebook_textarea'] = ebook_textarea + return + + def _change_gr_ebook_mode(session_id:str, val:str)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('ebook_mode') == val: + return tuple(gr.update() for _ in range(6)) + session['ebook_mode'] = val + css_update = gr.update() if val == ebook_modes['DIRECTORY'] else gr.update(value='') + if val != ebook_modes['DIRECTORY']: + session['ebook_selected'] = None + row_visible = _voice_player_visible(session) + if val == ebook_modes['DIRECTORY'] and session.get('ebook_selected'): + filename_update = gr.update(value=Path(session['ebook_selected']).name, visible=True) + else: + filename_update = gr.update(value='', visible=False) + enabled_convert_btn = False + if val == ebook_modes['SINGLE']: + if session.get('ebook_src'): + enabled_convert_btn = True + return gr.update(visible=True, label='-', file_count=ebook_modes['SINGLE'], value=session['ebook_src']), gr.update(visible=False), gr.update(interactive=enabled_convert_btn), css_update, gr.update(visible=row_visible), filename_update + elif val == ebook_modes['DIRECTORY']: + if session.get('ebook_list'): + enabled_convert_btn = True + return gr.update(visible=True, label='-', file_count=ebook_modes['DIRECTORY'], value=session['ebook_list']), gr.update(visible=False), gr.update(interactive=enabled_convert_btn), css_update, gr.update(visible=row_visible), filename_update + elif val == ebook_modes['TEXT']: + return gr.update(visible=False), gr.update(visible=True, value=session['ebook_textarea']), gr.update(interactive=True), css_update, gr.update(visible=row_visible), filename_update + except Exception as e: + error = f'_change_gr_ebook_mode(): {e}' + exception_alert(session_id, error) + return tuple(gr.update() for _ in range(6)) + + def _change_gr_voice_file(session_id:str, f:str|None)->tuple: + try: + state = {} + if f is not None: + if len(voice_options) > max_custom_voices: + error = f'You are allowed to upload a max of {max_custom_voices} voices' + state['type'] = 'warning' + state['msg'] = error + elif os.path.splitext(f.name)[1] not in voice_formats: + error = f'The audio file format selected is not valid.' + state['type'] = 'warning' + state['msg'] = error + else: + session = context.get_session(session_id) + if session and session.get('id', False): + voice_name = os.path.splitext(os.path.basename(f))[0].replace('&', 'And') + voice_name = get_sanitized(voice_name) + final_voice_file = os.path.join(session['voice_dir'], f'{voice_name}.wav') + extractor = VoiceExtractor(session, f, voice_name) + status, msg = extractor.extract_voice() + if status: + session['voice'] = final_voice_file + msg = f'Voice {voice_name} added to the voices list' + state['type'] = 'success' + state['msg'] = msg + show_alert(session_id, state) + return _update_gr_voice_list(session_id) + else: + error = 'failed! Check if you audio file is compatible.' + state['type'] = 'warning' + state['msg'] = error + show_alert(session_id, state) + except Exception as e: + error = f'_change_gr_voice_file(): {e}' + exception_alert(session_id, error) + return gr.update() + + def _change_gr_voice_list(session_id:str, selected:str|None)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if not voice_options or selected is None: + new_voice = None + else: + voice_value = voice_options[0][1] + new_voice = next( + (value for label, value in voice_options if value == selected), + voice_value, + ) + if session.get('ebook_mode') == ebook_modes['DIRECTORY'] and session.get('ebook_selected'): + voice_map = dict(session.get('voice_map') or {}) + voice_map[session['ebook_selected']] = new_voice + session['voice_map'] = voice_map + else: + session['voice'] = new_voice + visible_voice_buttons = new_voice is not None + return gr.update(value=new_voice), gr.update(visible=visible_voice_buttons), gr.update(visible=visible_voice_buttons) + except Exception as e: + error = f'_change_gr_voice_list(): {e}' + exception_alert(session_id, error) + return tuple(gr.update() for _ in range(3)) + + def _click_gr_voice_del_btn(session_id:str, selected:str)->tuple: + try: + if selected is not None: + session = context.get_session(session_id) + if session and session.get('id', False): + speaker_path = os.path.abspath(selected) + speaker = re.sub(r'\.wav$|\.npz|\.pth$', '', os.path.basename(selected)) + builtin_root = os.path.join(voices_dir, session['language']) + is_in_builtin = os.path.commonpath([speaker_path, os.path.abspath(builtin_root)]) == os.path.abspath(builtin_root) + is_in_models = os.path.commonpath([speaker_path, os.path.abspath(session['custom_model_dir'])]) == os.path.abspath(session['custom_model_dir']) + is_builtin = any( + speaker in settings.get('voices', {}) + for settings in (default_engine_settings[engine] for engine in TTS_ENGINES.values()) + ) + if is_builtin and is_in_builtin: + error = f'Voice file {speaker} is a builtin voice and cannot be deleted.' + show_alert(session_id, {"type": "warning", "msg": error}) + return gr.update(visible=False), gr.update() + if is_in_models: + error = f'Voice file {speaker} is a voice of one of your custom model and cannot be deleted.' + show_alert(session_id, {"type": "warning", "msg": error}) + return gr.update(visible=False), gr.update() + try: + selected_path = Path(selected).resolve() + parent_path = Path(session['voice_dir']).parent.resolve() + if parent_path in selected_path.parents: + session['status'] = status_tags['DELETION'] + msg = f'Are you sure to delete {speaker}?' + return ( + gr.update(value=_show_gr_modal(session['status'], msg), visible=True), + gr.update(value='confirm_voice_del') + ) + else: + error = f'{speaker} is part of the global voices directory. Only your own custom uploaded voices can be deleted!' + show_alert(session_id, {"type": "warning", "msg": error}) + return gr.update(visible=False), gr.update() + except Exception as e: + error = f'Could not delete the voice file {selected}!\n{e}' + exception_alert(session_id, error) + return gr.update(visible=False), gr.update() + return gr.update(visible=False), gr.update() + except Exception as e: + error = f'_click_gr_voice_del_btn(): {e}' + exception_alert(session_id, error) + return gr.update(visible=False), gr.update() + + def _click_gr_custom_model_del_btn(session_id:str, selected:str)->tuple: + try: + if selected is not None: + session = context.get_session(session_id) + if session and session.get('id', False): + selected_name = os.path.basename(selected) + session['status'] = status_tags['DELETION'] + msg = f'Are you sure to delete {selected_name}?' + return gr.update(value=_show_gr_modal(session['status'], msg), visible=True), gr.update(value='confirm_custom_model_del') + except Exception as e: + error = f'Could not delete the custom model {selected_name}!' + exception_alert(session_id, error) + return gr.update(visible=False), gr.update() + + def _click_gr_audiobook_del_btn(session_id:str, selected:str)->tuple: + try: + if selected is not None: + session = context.get_session(session_id) + if session and session.get('id', False): + selected_name = Path(selected).stem + session['status'] = status_tags['DELETION'] + msg = f'Are you sure to delete {selected_name}?' + return gr.update(value=_show_gr_modal(session['status'], msg), visible=True), gr.update(value='confirm_audiobook_del') + except Exception as e: + error = f'Could not delete the audiobook {selected_name}!' + exception_alert(session_id, error) + return gr.update(visible=False), gr.update() + + def _click_gr_deletion(session_id:str, voice_path:str, custom_model:str, audiobook:str, method:str|None=None)->tuple: + try: + nonlocal models, voice_options + if method is not None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['status'] == status_tags['DELETION']: + session['status'] = status_tags['READY'] + models = load_engine_presets(session['tts_engine']) + if method == 'confirm_voice_del': + selected_name = Path(voice_path).stem + pattern = re.sub(r'\.wav$', '*.wav', voice_path) + files2remove = glob(pattern) + for file in files2remove: + try: + os.remove(file) + except FileNotFoundError: + pass + shutil.rmtree(os.path.join(os.path.dirname(voice_path), 'bark', selected_name), ignore_errors=True) + deleted_voice = session['voice'] + fallback = None if session['tts_engine'] in tts_engines_with_inner_speaker else default_engine_settings[session['tts_engine']]['voice'] + blocks_current = session.get('blocks_current') or {} + changed = False + for block in blocks_current.get('blocks', []): + if block.get('voice') == deleted_voice: + block['voice'] = fallback + changed = True + if blocks_current.get('voice') == deleted_voice: + blocks_current['voice'] = fallback + changed = True + if changed: + session['blocks_current'] = blocks_current + save_db_blocks(session_id) + session['voice'] = fallback + voice_options[:] = [(i, v) for i, v in voice_options if v != deleted_voice] + msg = f'Voice file {re.sub(r".wav$", "", selected_name)} deleted!' + show_alert(session_id, {'type': 'info', 'msg': msg}) + return gr.update(value='', visible=False), gr.update(), gr.update(), _update_gr_voice_list(session_id) + elif method == 'confirm_custom_model_del': + selected_name = os.path.basename(custom_model) + shutil.rmtree(custom_model, ignore_errors=True) + msg = f'Custom model {selected_name} deleted!' + if session['custom_model'] is not None and session['voice'] is not None: + if session['custom_model'] in session['voice']: + session['voice'] = models[session['fine_tuned']]['voice'] + session['custom_model'] = None + show_alert(session_id, {"type": "info", "msg": msg}) + return gr.update(value='', visible=False), _update_gr_custom_model_list(session_id), gr.update(), gr.update() + elif method == 'confirm_audiobook_del': + selected_name = Path(audiobook).stem + base_selected_name = re.sub(r'_part\d+$', '', selected_name) + count_files = sum(1 for f, _ in audiobook_options if re.sub(r'_part\d+$', '', Path(f).stem) == base_selected_name) + if os.path.isdir(audiobook): + shutil.rmtree(audiobook, ignore_errors=True) + else: + try: + os.remove(audiobook) + except FileNotFoundError: + pass + if count_files <= 1: + vtt_path = Path(audiobook).with_suffix('.vtt') + if os.path.exists(vtt_path): + os.remove(vtt_path) + language = session['translate'] if session['translate_enabled'] and session['translate'] is not None else session['language'] + process_dir = os.path.join(session['session_dir'], hashlib.md5((selected_name).encode()).hexdigest()) + shutil.rmtree(process_dir, ignore_errors=True) + msg = f'Audiobook {selected_name} deleted!' + session['audiobook'] = None + show_alert(session_id, {"type": "info", "msg": msg}) + return gr.update(value='', visible=False), gr.update(), _update_gr_audiobook_list(session_id), gr.update() + except Exception as e: + error = f'_click_gr_deletion(): {e}!' + exception_alert(session_id, error) + return gr.update(value='', visible=False), gr.update(), gr.update(), gr.update() + + def _update_gr_voice_list(session_id:str)->dict: + try: + nonlocal models, voice_options + session = context.get_session(session_id) + if session and session.get('id', False): + models = load_engine_presets(session['tts_engine']) + language = session['translate'] if session['translate_enabled'] and session['translate'] is not None else session['language'] + lang_dir = language if language != 'con' else 'con-' # Bypass Windows CON reserved name + file_pattern = "*.wav" + eng_options = [] + bark_options = [] + piper_options = [] + builtin_dir = Path(os.path.join(voices_dir, lang_dir)) + builtin_options = [ + (base, str(f)) + for f in builtin_dir.rglob(file_pattern) + for base in [os.path.splitext(f.name)[0]] + ] + builtin_names = {t[0]: None for t in builtin_options} + if language in default_engine_settings[TTS_ENGINES['XTTS']].get('languages', {}): + eng_dir = Path(os.path.join(voices_dir, "eng")) + eng_options = [ + (base, str(f)) + for f in eng_dir.rglob(file_pattern) + for base in [os.path.splitext(f.name)[0]] + if base not in builtin_names + ] + if session['tts_engine'] == TTS_ENGINES['BARK']: + lang_dict = Lang(language) + if lang_dict: + lang_iso1 = lang_dict.pt1 + lang = lang_iso1.lower() + speakers_path = Path(default_engine_settings[TTS_ENGINES['BARK']]['speakers_path']) + pattern_speaker = re.compile(r"^.*?_speaker_(\d+)$") + bark_options = [ + (pattern_speaker.sub(r"Speaker \1", f.stem), str(f.with_suffix(".wav"))) + for f in speakers_path.rglob(f"{lang}_speaker_*.npz") + ] + elif session['tts_engine'] == TTS_ENGINES['PIPER']: + engine_config = default_engine_settings[TTS_ENGINES['PIPER']] + lang_piper = engine_config['languages'][language] # e.g., "en_GB" + speakers_path = Path(engine_config['speakers_path']) + voices_map = engine_config['voices'] + for f in speakers_path.iterdir(): + if f.name.startswith(lang_piper): + file_stem = f.stem + display_name = f'Speaker {voices_map.get(file_stem, file_stem)}' + wav_path = str(f.with_suffix('.wav')) + piper_options.append((display_name, wav_path)) + voice_options = builtin_options + eng_options + bark_options + piper_options + session['voice_dir'] = os.path.join(voices_dir, '__sessions', f'voice-{session_id}', language) + os.makedirs(session['voice_dir'], exist_ok=True) + if session['voice_dir'] is not None: + session_voice_dir = Path(session['voice_dir']) + voice_options += [ + (os.path.splitext(f.name)[0], str(f)) + for f in session_voice_dir.rglob(file_pattern) + if f.is_file() + ] + if session.get('custom_model_dir'): + voice_options.extend( + (f.stem, str(f)) + for f in Path(session['custom_model_dir']).rglob('*.wav') + if f.is_file() + ) + if session['tts_engine'] in tts_engines_with_inner_speaker: + voice_options = [('Default', None)] + sorted(voice_options, key=lambda x: x[0].lower()) + else: + voice_options = sorted(voice_options, key=lambda x: x[0].lower()) + if session['voice'] is not None and isinstance(session.get('voice'), str): + if session['voice_dir'] not in session['voice']: + if not any(v[1] == session['voice'] for v in voice_options): + voice_path = Path(session['voice']) + parts = list(voice_path.parts) + if "voices" in parts: + idx = parts.index("voices") + if idx + 1 < len(parts): + parts[idx + 1] = language + new_voice_path = str(Path(*parts)) + if os.path.exists(new_voice_path) and any(v[1] == new_voice_path for v in voice_options): + session['voice'] = new_voice_path + else: + parts[idx + 1] = 'eng' + new_voice_path = str(Path(*parts)) + if os.path.exists(new_voice_path) and any(v[1] == new_voice_path for v in voice_options): + session['voice'] = new_voice_path + else: + session['voice'] = voice_options[0][1] + else: + if voice_options and voice_options[0][1] is not None: + new_voice_path = models[session['fine_tuned']]['voice'] + if os.path.exists(new_voice_path) and any(v[1] == new_voice_path for v in voice_options): + session['voice'] = new_voice_path + else: + session['voice'] = voice_options[0][1] + return gr.update(choices=voice_options, value=session['voice']) + except Exception as e: + error = f'_update_gr_voice_list(): {e}!' + exception_alert(session_id, error) + return gr.update() + + def _update_gr_translate_list(session_id:str)->dict: + session = context.get_session(session_id) + if not session or not session.get('id', False): + return gr.update() + lang = session.get('language') + translate = session.get('translate') + translate_iso1 = session['translate_iso1'] + translate_options = _build_translate_targets(lang) + if translate_options: + lang_order = {val: i for i, (_, val) in enumerate(language_options)} + translate_options.sort(key=lambda item: lang_order.get(item[1], len(language_options))) + if not translate or not any(translate == val for _, val in translate_options): + translate = translate_options[0][1] + try: + translate_iso1 = Lang(translate).pt1 + except Exception: + translate_iso1 = None + else: + msg = 'No translate languages available' + translate = None + translate_iso1 = None + translate_options.append((msg, None)) + session['translate'] = translate + session['translate_iso1'] = translate_iso1 + visible_gr_translate = True if session.get('translate_enabled') else False + return gr.update(visible=visible_gr_translate, choices=translate_options, value=translate) + + def _update_gr_tts_engine_list(session_id:str)->dict: + try: + nonlocal tts_engine_options + session = context.get_session(session_id) + if session and session.get('id', False): + language = session['language'] + if session.get('translate_enabled') and session.get('translate'): + language = session['translate'] + tts_engine_options = get_compatible_tts_engines(language) + if session['tts_engine'] not in tts_engine_options: + session['tts_engine'] = tts_engine_options[0] + return gr.update(choices=tts_engine_options, value=session['tts_engine']) + except Exception as e: + error = f'_update_gr_tts_engine_list(): {e}!' + exception_alert(session_id, error) + return gr.update() + + def _update_gr_custom_model_list(session_id:str)->dict: + try: + nonlocal custom_model_options + session = context.get_session(session_id) + if session and session.get('id', False): + custom_model_tts_dir = _check_custom_model_tts(session['custom_model_dir'], session['tts_engine']) + custom_model_options = [('None', None)] + [ + ( + str(dir), + os.path.join(custom_model_tts_dir, dir) + ) + for dir in os.listdir(custom_model_tts_dir) + if os.path.isdir(os.path.join(custom_model_tts_dir, dir)) + ] + session['custom_model'] = session['custom_model'] if session['custom_model'] in [option[1] for option in custom_model_options] else custom_model_options[0][1] + model_paths = {v[1] for v in custom_model_options} + return gr.update(choices=custom_model_options, value=session['custom_model']) + except Exception as e: + error = f'_update_gr_custom_model_list(): {e}!' + exception_alert(session_id, error) + return gr.update() + + def _update_gr_fine_tuned_list(session_id:str)->dict: + try: + nonlocal fine_tuned_options + nonlocal models + session = context.get_session(session_id) + if session and session.get('id', False): + models = load_engine_presets(session['tts_engine']) + fine_tuned_options = [ + name + for name, details in models.items() + if details.get("lang") in ("multi", session['language']) + ] + if session['fine_tuned'] in fine_tuned_options: + fine_tuned = session['fine_tuned'] + else: + fine_tuned = default_fine_tuned + session['fine_tuned'] = fine_tuned + return gr.update(choices=fine_tuned_options, value=session['fine_tuned']) + except Exception as e: + error = f'_update_gr_fine_tuned_list(): {e}!' + exception_alert(session_id, error) + return gr.update() + + def _change_gr_device(session_id:str, selected:str)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('device') != selected: + session['device'] = selected + return + + def _change_gr_language(session_id:str, selected:str)->tuple: + session = context.get_session(session_id) + if not session or not session.get('id', False): + return tuple(gr.update() for _ in range(4)) + if session.get('language') != selected: + session['language'] = selected + return ( + _update_gr_translate_list(session_id), + _update_gr_tts_engine_list(session_id), + _update_gr_custom_model_list(session_id), + _update_gr_fine_tuned_list(session_id) + ) + return tuple(gr.update() for _ in range(4)) + + def _click_gr_translate_enabled(session_id:str, checked:bool)->tuple: + session = context.get_session(session_id) + if not session or not session.get('id', False): + return tuple(gr.update() for _ in range(5)) + if session['translate_enabled'] != checked: + session['translate_enabled'] = checked + return ( + _update_gr_translate_list(session_id), + _update_gr_tts_engine_list(session_id), + _update_gr_custom_model_list(session_id), + _update_gr_fine_tuned_list(session_id), + _update_gr_voice_list(session_id) + ) + return tuple(gr.update() for _ in range(5)) + + def _change_gr_translate(session_id:str, translate:str)->tuple: + session = context.get_session(session_id) + if not session or not session.get('id', False): + return tuple(gr.update() for _ in range(3)) + if translate != session['translate']: + session['translate'] = translate + try: + session['translate_iso1'] = Lang(translate).pt1 + except Exception: + session['translate_iso1'] = None + return ( + _update_gr_tts_engine_list(session_id), + _update_gr_custom_model_list(session_id), + _update_gr_fine_tuned_list(session_id) + ) + return tuple(gr.update() for _ in range(3)) + + def _check_custom_model_tts(custom_model_dir:str, tts_engine:str)->str|None: + dir_path = None + if custom_model_dir is not None and tts_engine is not None: + dir_path = os.path.join(custom_model_dir, tts_engine) + if not os.path.isdir(dir_path): + os.makedirs(dir_path, exist_ok=True) + return dir_path + + def _change_gr_custom_model_file(session_id:str, custom_file:str|None, tts_engine:str)->tuple: + try: + nonlocal models + if custom_file is not None: + state = {} + if len(custom_model_options) > max_custom_model: + error = f'You are allowed to upload a max of {max_custom_model} models' + state['type'] = 'warning' + state['msg'] = error + else: + session = context.get_session(session_id) + if session and session.get('id', False): + models = load_engine_presets(session['tts_engine']) + session['tts_engine'] = tts_engine + if analyze_uploaded_file(custom_file, models['internal']['files']): + session['custom_model'] = custom_file + model = extract_custom_model(session_id) + if model is not None: + session['custom_model'] = model + if session['tts_engine'] not in tts_engines_with_inner_speaker: + session['voice'] = os.path.join(model, f'{os.path.basename(os.path.normpath(model))}.wav') + msg = f'{os.path.basename(model)} added to the custom models list' + state['type'] = 'success' + state['msg'] = msg + show_alert(session_id, state) + return gr.update(value=None), _update_gr_custom_model_list(session_id) + else: + error = f'Cannot extract custom model zip file {os.path.basename(custom_file)}' + state['type'] = 'warning' + state['msg'] = error + else: + error = f'{os.path.basename(custom_file)} is not a valid model or some required files are missing' + state['type'] = 'warning' + state['msg'] = error + show_alert(session_id, state) + except Exception as e: + error = f'_change_gr_custom_model_file(): {e}' + exception_alert(session_id, error) + return gr.update(value=None), gr.update() + + def _change_gr_custom_model_list(session_id:str, selected:str|None)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + session['custom_model'] = selected + if selected is not None and session['tts_engine'] not in tts_engines_with_inner_speaker: + session['voice'] = os.path.join(selected, f'{os.path.basename(selected)}.wav') + visible_fine_tuned = True if session['custom_model'] is None else False + visible_del_btn = True if session['custom_model'] is not None else False + return gr.update(visible=visible_fine_tuned), _update_gr_voice_list(session_id), gr.update(visible=visible_del_btn) + except Exception as e: + error = f'_change_gr_custom_model_list(): {e}' + exception_alert(session_id, error) + return tuple(gr.update() for _ in range(3)) + + def _change_gr_tts_engine_list(session_id:str, engine:str)->tuple: + try: + nonlocal models + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('tts_engine') != engine or session.get('translate_enabled'): + models = load_engine_presets(engine) + session['voice'] = None if session['voice'] == default_engine_settings[session['tts_engine']]['voice'] else session['voice'] + session['tts_engine'] = engine + session['fine_tuned'] = default_fine_tuned + visible_xtts = visible_gr_tab_xtts_params if session['tts_engine'] == TTS_ENGINES['XTTS'] else False + visible_bark = visible_gr_tab_bark_params if session['tts_engine'] == TTS_ENGINES['BARK'] else False + supports_custom = session['tts_engine'] in tts_engines_with_custom_model + visible_custom_model = supports_custom and session['fine_tuned'] == 'internal' + if supports_custom: + file_label = f"Upload a {session['tts_engine'].upper()} ZIP file (Required: {', '.join(models[default_fine_tuned]['files'])})" + custom_model_list_update = _update_gr_custom_model_list(session_id) + else: + file_label = f"*Upload Custom Model not available for {session['tts_engine']}" + custom_model_list_update = gr.update() + return ( + gr.update(value=_show_rating(session['tts_engine'])), + gr.update(visible=visible_xtts), + gr.update(visible=visible_bark), + gr.update(visible=visible_custom_model), + _update_gr_fine_tuned_list(session_id), + gr.update(label=file_label), + custom_model_list_update + ) + except Exception as e: + error = f'_change_gr_tts_engine_list(): {e}' + exception_alert(session_id, error) + return tuple(gr.update() for _ in range(7)) + + def _change_gr_fine_tuned_list(session_id:str, selected:str)->dict: + try: + if selected: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('fine_tuned') != selected: + session['fine_tuned'] = selected + if selected == 'internal': + visible_custom_model = visible_gr_group_custom_model if session['fine_tuned'] == 'internal' and session['tts_engine'] in tts_engines_with_custom_model else False + else: + visible_custom_model = False + session['voice'] = models[session['fine_tuned']]['voice'] + return gr.update(visible=visible_custom_model) + except Exception as e: + error = f'_change_gr_fine_tuned_list(): {e}' + exception_alert(session_id, error) + return gr.update() + + def _change_gr_output_format_list(session_id:str, val:str)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('output_format') != val: + session['output_format'] = val + return + + def _change_gr_output_channel_list(session_id:str, val:str)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('output_channel') != val: + session['output_channel'] = val + return + + def _change_gr_output_split(session_id:str, val:str)->dict: + session = context.get_session(session_id) + if session and session.get('id', False): + session['output_split'] = val + return gr.update(visible=val) + + def _click_gr_session_switch_btn(session_id:str, backup_session_id:str|None)->tuple: + try: + if backup_session_id is not None: + back_id = backup_session_id + new_id = session_id + else: + back_id = session_id + new_id = None + session = context.get_session(back_id) + if session and session.get('id', False): + if session['status'] == status_tags['READY']: + session['status'] = status_tags['SWITCH'] + msg = 'Backup your current session ID before to start with a new one!' + show_alert(back_id, {"type": "warning", "msg": msg}) + return gr.update(), gr.update(interactive=True), back_id, gr.update(value='🔑︎'), back_id, None + elif session['status'] == status_tags['SWITCH']: + if new_id is None or not new_id.strip(): + msg = 'Session ID cannot be empty' + show_alert(back_id, {"type": "warning", "msg": msg}) + return gr.update(), gr.update(), backup_session_id, gr.update(), None, None + new_session_id = new_id.strip() + session['status'] = status_tags['READY'] + if new_session_id == back_id: + return gr.update(), gr.update(interactive=False), back_id, gr.update(value='🔒︎'), None, back_id + new_session_dir = os.path.join(tmp_dir, f'proc-{new_session_id}') + new_session = context.get_session(new_session_id) + if os.path.exists(new_session_dir) or new_session: + if not new_session: + new_session = context.set_session(new_session_id) + new_session['status'] = status_tags['READY'] + return gr.update(value=json.dumps(new_session, cls=JSONDictProxyEncoder)), gr.update(interactive=False), None, gr.update(value='🔒︎'), None, new_session_id + else: + session['status'] = status_tags['SWITCH'] + msg = 'Session not found!' + show_alert(back_id, {"type": "warning", "msg": msg}) + except Exception as e: + error = f'_click_gr_session_switch_btn(): {e}' + exception_alert(back_id, error) + return gr.update(), gr.update(), backup_session_id, gr.update(), None, None + + def _change_gr_playback_time(session_id:str, time:float)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get('playback_time') != time: + session['playback_time'] = time + return + + def _toggle_audiobook_files(session_id:str, audiobook:str, is_visible:bool, refresh_only:bool=False)->tuple: + try: + if not audiobook: + error = 'No audiobook selected.' + show_alert(session_id, {"type": "error", "msg": error}) + return gr.update(), False + if is_visible and not refresh_only: + return gr.update(visible=False, value=None), False + file = Path(audiobook) + if not file.exists(): + error = f'Audio not found: {file}' + show_alert(session_id, {"type": "error", "msg": error}) + return gr.update(visible=False, value=None), False + files = [str(file)] + vtt = file.with_suffix('.vtt') + if vtt.exists(): + files.append(str(vtt)) + return gr.update(visible=True, value=files), True + except Exception as e: + error = f'_toggle_audiobook_files(): {e}!' + exception_alert(session_id, error) + return gr.update(), False + + def _change_param(key:str, session_id:str, val:Any, val2:Any=None)->None: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if session.get(key) != val: + session[key] = val + state = {} + if key == 'xtts_length_penalty': + if val2 is not None: + if float(val) > float(val2): + error = 'Length penalty must be always lower than num beams if greater than 1.0 or equal if 1.0' + state['type'] = 'warning' + state['msg'] = error + show_alert(session_id, state) + elif key == 'xtts_num_beams': + if val2 is not None: + if float(val) < float(val2): + error = 'Num beams must be always higher than length penalty or equal if its value is 1.0' + state['type'] = 'warning' + state['msg'] = error + show_alert(session_id, state) + except Exception as e: + error = f'_change_param(): {e}' + exception_alert(session_id, error) + return + + def _start_conversion( + session_id:str, device:str, ebook_mode:str, ebook_src:str|list|None, ebook_textarea:str|None, blocks_preview:bool, tts_engine:str, language:str, voice:str, custom_model:str, fine_tuned:str, output_format:str, output_channel:str, xtts_temperature:float, + xtts_length_penalty:int, xtts_num_beams:int, xtts_repetition_penalty:float, xtts_top_k:int, xtts_top_p:float, xtts_speed:float, xtts_enable_text_splitting:bool, bark_text_temp:float, bark_waveform_temp:float, + output_split:bool, output_split_hours:str, + translate_enabled:bool, translate_target:str|None + )->tuple: + error = None + try: + session = context.get_session(session_id) + reset_ebook_session(session_id, force=True, filter_keys=False) + if session and session.get('id', False): + if not session['cancellation_requested']: + args = { + "id": session_id, + "is_gui_process": session['is_gui_process'], + "script_mode": script_mode, + "blocks_preview": blocks_preview, + "device": device, + "tts_engine": tts_engine, + "ebook": None, + "ebook_mode": ebook_mode, + "ebook_src": ebook_src if ebook_mode == ebook_modes['SINGLE'] else session['ebook_src'], + "ebook_list": ebook_src if ebook_mode == ebook_modes['DIRECTORY'] else session['ebook_list'], + "ebook_textarea": ebook_textarea if ebook_mode == ebook_modes['TEXT'] else session['ebook_textarea'], + "voice": voice, + "language": language, + "custom_model": custom_model, + "fine_tuned": fine_tuned, + "output_format": output_format, + "output_channel": output_channel, + "xtts_temperature": float(xtts_temperature), + "xtts_length_penalty": float(xtts_length_penalty), + "xtts_num_beams":int(session['xtts_num_beams']), + "xtts_repetition_penalty": float(xtts_repetition_penalty), + "xtts_top_k":int(xtts_top_k), + "xtts_top_p": float(xtts_top_p), + "xtts_speed": float(xtts_speed), + "xtts_enable_text_splitting":bool(xtts_enable_text_splitting), + "bark_text_temp": float(bark_text_temp), + "bark_waveform_temp": float(bark_waveform_temp), + "output_split":bool(output_split), + "output_split_hours": output_split_hours, + "translate_enabled": bool(translate_enabled), + "translate": translate_target if translate_enabled else None, + "translate_iso1": (Lang(translate_target).pt1 if (translate_enabled and translate_target) else None) + } + if args['ebook_mode'] == ebook_modes['DIRECTORY']: + if isinstance(args['ebook_list'], list): + if not args['ebook_list']: + error = 'A directory with ebook files is required.' + elif args['ebook_mode'] == ebook_modes['SINGLE']: + if not args['ebook_src']: + error = 'An ebook file is required.' + elif args['ebook_mode'] == ebook_modes['TEXT']: + if not args['ebook_textarea']: + error = 'Textarea is empty.' + elif len(args['ebook_textarea']) < 10: + error = 'Textarea must be > 10 chars.' + else: + args['ebook_textarea'] = args['ebook_textarea'].strip() + if len(args['ebook_textarea']) < 10: + error = 'Textarea must be > 10 chars.' + #elif args['xtts_num_beams'] < args['xtts_length_penalty']: + # error = 'num beams must be greater or equal than length penalty.' + if error is None: + session['ticker'] = len(audiobook_options) + if args['ebook_mode'] == ebook_modes['DIRECTORY']: + if args['ebook_list']: + if isinstance(args['ebook_list'], list): + default_voice = session.get('voice') + voice_map = dict(session.get('voice_map') or {}) + clean_list = sorted([ + f for f in args['ebook_list'] + if any(f.endswith(ext) for ext in ebook_formats) + ]) + for skipped in [f for f in args['ebook_list'] if f not in clean_list]: + show_alert(session_id, { + "type": "warning", + "msg": f'{Path(skipped).name} has not a supported format! skipping' + }) + ebook_list_full = copy.deepcopy(clean_list) + args['ebook_list'] = ebook_list_full + queue = list(ebook_list_full) + while queue: + file = queue.pop(0) + args['ebook_src'] = file + abs_file = os.path.abspath(file) + if abs_file in voice_map: + override = voice_map[abs_file] + elif os.path.basename(file) in voice_map: + override = voice_map[os.path.basename(file)] + else: + override = default_voice + if override is not None and not os.path.exists(override): + msg = f'Voice override for {Path(file).name} not found, using default.' + show_alert(session_id, { + "type": "warning", + "msg": msg + }) + override = default_voice + args['voice'] = override + progress_status, passed = convert_ebook(args) + if passed: + return gr.update(value=progress_status) + else: + error = progress_status + break + elif args['ebook_mode'] == ebook_modes['SINGLE']: + progress_status, passed = convert_ebook(args) + if passed: + return gr.update(value=progress_status) + else: + error = progress_status + elif args['ebook_mode'] == ebook_modes['TEXT']: + progress_status, passed = convert_ebook(args) + if passed: + return gr.update(value=progress_status) + else: + error = progress_status + if error is not None: + show_alert(session_id, {"type": "warning", "msg": error}) + if session['cancellation_requested'] and session['status'] == status_tags['DISCONNECTED']: + context_tracker.end_session(session_id, session['socket_hash']) + return gr.update() + session['status'] = status_tags['END'] + return gr.update(value=error) + else: + return gr.update() + except Exception as e: + session['status'] = status_tags['END'] + error = f'_start_conversion(): {e}' + exception_alert(session_id, error) + return gr.update(value=error) + + def _update_gr_audiobook_list(session_id:str)->dict: + try: + nonlocal audiobook_options + session = context.get_session(session_id) + if session and session.get('id', False): + if session['audiobooks_dir'] is not None: + audiobook_options = [ + (f, os.path.join(session['audiobooks_dir'], str(f))) + for f in os.listdir(session['audiobooks_dir']) + if not f.lower().endswith(".vtt") + ] + if len(audiobook_options) > 0: + audiobook_options.sort( + key=lambda x: os.path.getmtime(x[1]), + reverse=True + ) + session['audiobook'] = ( + session['audiobook'] + if session['audiobook'] in [option[1] for option in audiobook_options] + else None + ) + if session['audiobook'] is None: + session['audiobook'] = audiobook_options[0][1] + else: + session['audiobook'] = None + return gr.update(choices=audiobook_options, value=session['audiobook']) + except Exception as e: + error = f'_update_gr_audiobook_list(): {e}!' + exception_alert(session_id, error) + return gr.update() + + def _check_override_ebook(session_id:str, ebook_mode:str, ebook_data:any, ebook_textarea:str, blocks_preview:bool, event:int, translate_enabled:bool, translate_target:str|None)->tuple: + try: + session = context.get_session(session_id) + source = None + error = None + if session and session.get('id', False): + if not session['cancellation_requested']: + if not session['status'] in [status_tags['SKIP'], status_tags['END']]: + if session['status'] in [status_tags['EDIT']]: + return gr.update(), event + elif session['status'] in [status_tags['OVERRIDE'], status_tags['CONVERTING']]: + if ebook_mode == ebook_modes['DIRECTORY']: + if isinstance(session['ebook_list'], list): + if len(session['ebook_list']) > 0: + source = session['ebook_list'][0] + elif ebook_mode == ebook_modes['SINGLE']: + source = session['ebook_src'] + else: + if ebook_mode == ebook_modes['DIRECTORY']: + if not ebook_data: + error = 'A directory with ebook files is required.' + else: + source = ebook_data[0] + elif ebook_mode == ebook_modes['SINGLE']: + if not ebook_data: + error = 'An ebook file is required.' + else: + source = ebook_data + elif ebook_mode == ebook_modes['TEXT']: + if not ebook_textarea: + error = 'Textarea is empty.' + elif len(ebook_textarea) < 10: + error = 'Textarea must be > 10 chars.' + else: + ebook_textarea = ebook_textarea.strip() + if len(ebook_textarea) < 10: + error = 'Textarea must be > 10 chars.' + else: + source = ebook_textarea + if error is None: + if source is not None: + if ebook_mode == ebook_modes['TEXT']: + session['status'] = status_tags['SKIP'] + session['ebook_textarea'] = source + return gr.update(), (event + 1) + else: + session['ebook_src'] = source + stem_base = get_sanitized(Path(source).stem) + if translate_enabled and translate_target and translate_target != session.get('language'): + language = translate_target + ebook_name = f"{stem_base}_{translate_target}" + else: + language = session.get('language') + ebook_name = stem_base + final_name = f"{ebook_name}.{session['output_format']}" + process_dir = os.path.join(session['session_dir'], hashlib.md5((ebook_name).encode()).hexdigest()) + chapters_dir = os.path.join(process_dir, 'chapters') + sentences_dir = os.path.join(chapters_dir, 'sentences') + pre_name = f"{ebook_name}{'_part1.' if session['output_split'] else '.'}{default_audio_proc_format}" + pre_file = os.path.join(process_dir, pre_name) + final_file = os.path.join(session['audiobooks_dir'], final_name) + audio_sentences_exist = False + if os.path.exists(sentences_dir): + audio_sentences_exist = any(Path(sentences_dir).rglob(f'*.{default_audio_proc_format}')) + if os.path.exists(pre_file) or audio_sentences_exist: + session['status'] = status_tags['OVERRIDE'] + session['audiobook_overridden'] = final_file + msg = f"Warning! audio sentences or final file {final_name} of this conversion already exists. If you continue resume will restart from the last sentence converted!" + return gr.update(value=_show_gr_modal(session['status'], msg), visible=True), event + else: + session['status'] = status_tags['SKIP'] + return gr.update(), (event + 1) + else: + show_alert(session_id, {"type": "warning", "msg": error}) + session['status'] = status_tags['END'] + except Exception as e: + error = f'_check_override_ebook(): {e}' + exception_alert(session_id, error) + return gr.update(), event + + def _click_gr_override_cancel_btn(session_id:str)->dict: + session = context.get_session(session_id) + if session and session.get('id', False): + session['status'] = status_tags['END'] + session['audiobook_overridden'] = None + return gr.update(value='', visible=False) + + def _click_gr_override_confirm_btn(session_id:str, event:int, audiobook_files_state:bool)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + file_converting = session['audiobook_overridden'] + files_update = gr.update() + files_state_update = gr.update() + if file_converting: + idx = next((i for i, t in enumerate(audiobook_options) if t[1] == file_converting), -1) + new_list = [t for t in audiobook_options if t[1] != file_converting] + if session['audiobook'] == file_converting or session['audiobook'] in new_list: + print('_click_gr_override_confirm_btn(): select audiobook is the converting file') + new_selected = None + if new_list: + new_idx = max(0, idx - 1) + new_selected = new_list[new_idx][1] + session['audiobook'] = new_selected + if audiobook_files_state and new_selected is not None: + files_update, files_state_update = _toggle_audiobook_files(session_id, new_selected, False) + else: + files_update = gr.update(visible=False, value=None) + files_state_update = False + return gr.update(value='', visible=False), (event + 1), gr.update(choices=new_list, value=new_selected), files_update, files_state_update + return gr.update(value='', visible=False), (event + 1), gr.update(), files_update, files_state_update + except Exception as e: + error = f'_click_gr_override_confirm_btn(): {e}' + exception_alert(session_id, error) + return gr.update(), event, gr.update(), gr.update(), gr.update() + + def _populate_page(session_id:str, page:int, blocks:list[dict])->tuple: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['status'] in [status_tags['EDIT']]: + start = int(page) * page_size + updates = [] + expands = [] + for i in range(page_size): + idx = start + i + if idx < len(blocks): + b = blocks[idx] + exp = b.get('expand', False) + expands.append(exp) + updates.append(gr.update(label=f'Block {idx}', visible=True, open=exp)) + updates.append(gr.update(value=b['keep'])) + updates.append(gr.update(value=b.get('voice'), choices=voice_options)) + updates.append(gr.update(value=b['text'])) + else: + expands.append(False) + updates.append(gr.update(visible=False)) + updates.append(gr.update()) + updates.append(gr.update()) + updates.append(gr.update()) + end = min(start + page_size, len(blocks)) + header = gr.update(value=f'Blocks {start}–{end-1} of {len(blocks)-1}') + return (*updates, header, expands) + + def _navigate(session_id:str, page:int, blocks:list[dict], direction:int, *args)->tuple: + new_blocks = _collect_page(page, blocks, *args) + max_page = max((len(new_blocks) - 1) // page_size, 0) + new_page = max(0, min(int(page) + direction, max_page)) + try: + session = context.get_session(session_id) + if session and session.get('id', False): + blocks_current = session['blocks_current'] + if blocks_current.get('page') != new_page: + blocks_current['page'] = new_page + session['blocks_current'] = blocks_current + save_db_stamp(session_id) + except Exception as e: + error = f'_navigate(): {e}' + exception_alert(session_id, error) + return ( + new_blocks, + new_page, + gr.update(interactive=new_page > 0), + gr.update(interactive=new_page < max_page), + ) + + def _edit_blocks(session_id:str)->tuple: + try: + session = context.get_session(session_id) + if session and session.get('id', False): + if not session['cancellation_requested']: + if session['status'] in [status_tags['EDIT']]: + visible_main = False + visible_blocks = True + ebook_name = Path(session['ebook']).stem + blocks_current = session['blocks_current'] + blocks = blocks_current['blocks'] + max_page = max((len(blocks) - 1) // page_size, 0) + page = max(0, min(int(blocks_current.get('page', 0)), max_page)) + page_updates = list(_populate_page(session_id, page, blocks)) + if session['cancellation_requested']: + visible_main = True + visible_blocks = False + result = ( + gr.update(value=ebook_name), + gr.update(visible=visible_main), gr.update(visible=visible_blocks), + blocks, page, + gr.update(interactive=page > 0), + gr.update(interactive=page < max_page), + gr.update(interactive=True), + gr.update(interactive=True), + *page_updates + ) + return result + except Exception as e: + error = f'_edit_blocks(): {e}' + exception_alert(session_id, error) + n = len(blocks_components_flat) + 1 + return tuple(gr.update() for _ in range(9 + n + 1)) + + def _click_reset_block(session_id:str, block_id:int)->dict: + session = context.get_session(session_id) + if session and session.get('id', False): + text = session['blocks_orig']['blocks'][block_id]['text'] + return gr.update(value=text) + return gr.update() + + def _collect_page(page:int, blocks:list[dict], *args)->list[dict]: + expands = args[0] + keeps = args[1:page_size + 1] + voices = args[page_size + 1:2 * page_size + 1] + texts = args[2 * page_size + 1:] + new_blocks = [dict(b) for b in blocks] + start = int(page) * page_size + for i in range(page_size): + idx = start + i + if idx < len(new_blocks): + new_blocks[idx]['expand'] = expands[i] if i < len(expands) else False + new_blocks[idx]['keep'] = keeps[i] + new_blocks[idx]['voice'] = voices[i] + new_blocks[idx]['text'] = texts[i] + return new_blocks + + def _change_current_blocks(session_id:str, page:int, blocks:list[dict], *args)->None: + session = context.get_session(session_id) + if session and session.get('id', False): + new_blocks = _collect_page(page, blocks, *args) + blocks_current = session['blocks_current'] + old_blocks = blocks_current['blocks'] + for idx, b in enumerate(new_blocks): + if 'voice' not in b: + b['voice'] = session.get('voice') + if 'tts_engine' not in b: + b['tts_engine'] = session.get('tts_engine', '') + if 'fine_tuned' not in b: + b['fine_tuned'] = session.get('fine_tuned', '') + old_b = old_blocks[idx] if idx < len(old_blocks) else None + if 'id' not in b and old_b is not None: + b['id'] = old_b.get('id') + if old_b and old_b.get('text', '').strip() != b.get('text', '').strip(): + b['sentences'] = [] + blocks_current['blocks'] = new_blocks + session['blocks_current'] = blocks_current + save_db_blocks(session_id) + + def _click_gr_blocks_cancel_btn(session_id:str, page:int, blocks:list[dict], *args)->tuple: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['status'] in [status_tags['EDIT']]: + session['status'] = status_tags['READY'] + _change_current_blocks(session_id, page, blocks, *args) + return gr.update(interactive=True), gr.update(visible=True), _update_gr_audiobook_list(session_id), gr.update(visible=False), session['blocks_current']['blocks'] + + def _click_gr_blocks_confirm_btn(session_id:str, event:int, page:int, blocks:list[dict], *args)->tuple: + session = context.get_session(session_id) + if session and session.get('id', False): + if session['status'] in [status_tags['EDIT']]: + if not any(b['keep'] and b['text'].strip() for b in blocks): + error = 'At least one block must be kept.' + show_alert(session_id, {'type': 'warning', 'msg': error}) + return tuple(gr.update() for _ in range(6)) + _change_current_blocks(session_id, page, blocks, *args) + return gr.update(interactive=False), gr.update(interactive=False), gr.update(visible=True), gr.update(visible=False), _update_gr_audiobook_list(session_id), (event + 1) + return tuple(gr.update() for _ in range(6)) + + def _change_gr_restore_session(data:DictProxy|None, state:dict, req:gr.Request)->tuple: + try: + nonlocal models + msg = 'Error while loading saved session. Please try to delete your cookies and refresh the page' + if not data.get('id', False): + session = context.set_session(str(uuid.uuid4())) + else: + session = context.set_session(data.get('id')) + if len(active_sessions) == 0 or (data and data.get('status') in (None, status_tags['READY'])): + restore_session_from_data( + data, session, + force=bool(data and data.get('status') == status_tags['READY']), + filter_keys=True, + ) + if not context_tracker.start_session(session['id']): + error = "Your session is already active.<br>If it's not the case please close your browser and relaunch it." + return gr.update(), gr.update(), gr.update(value=''), _update_gr_glassmask(str=error) + else: + active_sessions.add(req.session_hash) + session[req.session_hash] = req.session_hash + session['cancellation_requested'] = False + if isinstance(session.get('ebook'), str): + if not os.path.exists(session['ebook']): + session['ebook'] = session['ebook_src'] = None + if isinstance(session.get('voice'), str): + if not os.path.exists(session['voice']): + session['voice'] = session['ebook_src'] = None + if isinstance(session.get('custom_model'), str): + custom_model_dir = session.get('custom_model_dir') + if isinstance(custom_model_dir, str) and not os.path.exists(custom_model_dir): + session['custom_model'] = None + if isinstance(session.get('tts_engine'), str): + models = load_engine_presets(session['tts_engine']) + if models: + if session['fine_tuned'] not in models.keys(): + session['fine_tuned'] = default_fine_tuned + else: + session['tts_engine'] = default_tts_engine + session['fine_tuned'] = default_fine_tuned + if session.get('translate_enabled'): + translate_target = session.get('translate') + if not translate_target or translate_target not in language_mapping: + session['translate_enabled'] = False + session['translate'] = None + session['translate_iso1'] = None + effective_lang = session.get('language') + if session.get('translate_enabled') and session.get('translate'): + effective_lang = session['translate'] + if effective_lang: + compatible = get_compatible_tts_engines(effective_lang) + if compatible and session.get('tts_engine') not in compatible: + session['tts_engine'] = compatible[0] + session['fine_tuned'] = default_fine_tuned + models = load_engine_presets(session['tts_engine']) + if isinstance(session.get('audiobook'), str): + if not os.path.exists(session['audiobook']): + session['audiobook'] = None + session['status'] = status_tags['READY'] + session['is_gui_process'] = is_gui_process + session['system'] = DEVICE_SYSTEM + session['session_dir'] = os.path.join(tmp_dir, f"proc-{session['id']}") + session['custom_model_dir'] = os.path.join(models_dir, '__sessions', f"model-{session['id']}") + session['voice_dir'] = os.path.join(voices_dir, '__sessions', f"voice-{session['id']}", session['language']) + os.makedirs(session['custom_model_dir'], exist_ok=True) + os.makedirs(session['voice_dir'], exist_ok=True) + if is_gui_shared: + msg = f' Note: access limit time: {interface_shared_tmp_expire} days. ' + session['audiobooks_dir'] = os.path.join(audiobooks_gradio_dir, f"web-{session['id']}") + delete_unused_tmp_dirs(session['id'], audiobooks_gradio_dir, interface_shared_tmp_expire) + else: + msg = f' Note: if no activity is detected after {tmp_expire} days, your session will be cleaned up. ' + session['audiobooks_dir'] = os.path.join(audiobooks_host_dir, f"web-{session['id']}") + delete_unused_tmp_dirs(session['id'], audiobooks_host_dir, tmp_expire) + msg += 'Your browser needs cookies enabled to resume the conversions.' + if not os.path.exists(session['audiobooks_dir']): + os.makedirs(session['audiobooks_dir'], exist_ok=True) + previous_hash = state['hash'] + new_hash = hash_proxy_dict(MappingProxyType(session)) + state['hash'] = new_hash + show_alert(session['id'], {"type": "info", "msg": msg}) + return gr.update(value=json.dumps(session, cls=JSONDictProxyEncoder)), gr.update(value=state), gr.update(value=session['id']), gr.update() + except Exception as e: + error = f'_change_gr_restore_session(): {e}' + exception_alert(None, error) + return tuple(gr.update() for _ in range(4)) + + async def _update_gr_save_session(session_id:str, state:dict)->tuple: + try: + session = context.get_session(session_id) + if not session or (session and not session.get('id', False)): + yield tuple(gr.update() for _ in range(3)) + return + previous_hash = state.get("hash") + if session.get('status', None) == status_tags['CONVERTING']: + try: + if session.get('ticker') != len(audiobook_options): + session['ticker'] = len(audiobook_options) + new_hash = hash_proxy_dict(MappingProxyType(session)) + state['hash'] = new_hash + session_filtered = {k: v for k, v in session.items() if k not in save_session_keys_except} + session_dict = json.dumps(session_filtered, cls=JSONDictProxyEncoder) + yield ( + gr.update(value=session_dict), + gr.update(value=state), + _update_gr_audiobook_list(session_id), + ) + else: + yield tuple(gr.update() for _ in range(3)) + except NameError: + new_hash = hash_proxy_dict(MappingProxyType(session)) + state['hash'] = new_hash + session_filtered = {k: v for k, v in session.items() if k not in save_session_keys_except} + session_dict = json.dumps(session_filtered, cls=JSONDictProxyEncoder) + yield ( + gr.update(value=session_dict), + gr.update(value=state), + gr.update(), + ) + elif session.get('status', None) != status_tags['SKIP']: + if session.get('status', None) == status_tags['EDIT']: + save_db_blocks(session_id) + new_hash = hash_proxy_dict(MappingProxyType(session)) + if previous_hash == new_hash: + yield tuple(gr.update() for _ in range(3)) + else: + state['hash'] = new_hash + session_filtered = {k: v for k, v in session.items() if k not in save_session_keys_except} + session_dict = json.dumps(session_filtered, cls=JSONDictProxyEncoder) + yield ( + gr.update(value=session_dict), + gr.update(value=state), + gr.update(), + ) + yield tuple(gr.update() for _ in range(3)) + except Exception as e: + error = f'_update_gr_save_session(): {e}!' + exception_alert(session_id, error) + yield gr.update(), gr.update(value=e), gr.update() + + ################## Events Section + + def _chain_check_override(event): + return event.then( + fn=_check_override_ebook, + inputs=[gr_session, gr_ebook_mode, gr_ebook_src, gr_ebook_textarea, gr_blocks_preview, gr_event, gr_translate_enabled, gr_translate], + outputs=[gr_modal, gr_event], + show_progress_on=[gr_progress] + ) + + def _chain_refresh(event): + return event.then( + fn=_refresh_interface, + inputs=[gr_session], + outputs=outputs_refresh_interface, + show_progress_on=[gr_progress] + ) + + def _chain_enable(event, always=False): + if always: + return event.then( + fn=lambda s: ( + list(_enable_components(s)) + [ + 1 if context.get_session(s).get('ebook_mode') == ebook_modes['TEXT'] + else 0 + ] + ), + inputs=[gr_session], + outputs=outputs_enable_components + [gr_end_event], + show_progress_on=[gr_progress] + ).then( + fn=None, + inputs=[gr_end_event], + outputs=None, + js=f'(gr_end_event)=>{{if(gr_end_event){{{js_show_elements}}}}}' + ) + else: + return event.then( + fn=lambda s: ( + _enable_components(s) + (1,) + if context.get_session(s)['status'] in [status_tags['END'], status_tags['READY']] + and context.get_session(s)['ebook_mode'] == ebook_modes['TEXT'] + else ( + _enable_components(s) + (0,) + if context.get_session(s)['status'] in [status_tags['END'], status_tags['READY']] + else [gr.update()] * len(outputs_enable_components) + [0] + ) + ), + inputs=[gr_session], + outputs=outputs_enable_components + [gr_end_event], + show_progress_on=[gr_progress] + ).then( + fn=None, + inputs=[gr_end_event], + outputs=None, + js=f'(gr_end_event)=>{{if(gr_end_event){{{js_show_elements}}}}}' + ) + + ######## grouped tuples + + inputs_start_conversion = [ + gr_session, gr_device, gr_ebook_mode, gr_ebook_src, gr_ebook_textarea, gr_blocks_preview, gr_tts_engine_list, gr_language, gr_voice_list, + gr_custom_model_list, gr_fine_tuned_list, gr_output_format_list, gr_output_channel_list, + gr_xtts_temperature, gr_xtts_length_penalty, gr_xtts_num_beams, gr_xtts_repetition_penalty, gr_xtts_top_k, gr_xtts_top_p, gr_xtts_speed, gr_xtts_enable_text_splitting, + gr_bark_text_temp, gr_bark_waveform_temp, gr_output_split, gr_output_split_hours, + gr_translate_enabled, gr_translate + ] + outputs_disable_components = [ + gr_ebook_textarea, gr_ebook_mode, gr_blocks_preview, gr_language, gr_voice_file, gr_voice_list, + gr_device, gr_tts_engine_list, gr_fine_tuned_list, gr_custom_model_file, + gr_custom_model_list, gr_output_format_list, gr_output_channel_list, gr_output_split, gr_output_split_hours, + gr_translate_enabled, gr_translate, + gr_convert_btn, gr_voice_play, gr_voice_del_btn, gr_custom_model_del_btn, gr_session_switch_btn + ] + outputs_enable_components = [ + gr_ebook_textarea, gr_ebook_mode, gr_blocks_preview, gr_language, gr_voice_file, gr_voice_list, + gr_device, gr_tts_engine_list, gr_fine_tuned_list, gr_custom_model_file, + gr_custom_model_list, gr_output_format_list, gr_output_channel_list, gr_output_split, gr_output_split_hours, + gr_translate_enabled, gr_translate, + gr_voice_play, gr_voice_del_btn, gr_session_switch_btn, gr_blocks_cancel_btn, gr_blocks_confirm_btn, gr_custom_model_del_btn, gr_modal, gr_convert_btn + ] + outputs_edit_blocks = [ + gr_blocks_markdown, gr_group_main, gr_group_blocks, + gr_blocks_data, gr_blocks_page, + gr_blocks_back_btn, gr_blocks_next_btn, + gr_blocks_cancel_btn, gr_blocks_confirm_btn, + *blocks_components_flat, gr_blocks_header, gr_blocks_expands + ] + outputs_restore_interface = [ + gr_ebook_src, gr_ebook_textarea, gr_ebook_mode, gr_blocks_preview, gr_device, gr_language, + gr_translate_enabled, gr_translate, gr_voice_list, gr_tts_engine_list, gr_tts_rating, + gr_custom_model_list, gr_fine_tuned_list, gr_output_format_list, gr_output_channel_list, + gr_output_split, gr_output_split_hours, gr_row_output_split_hours, gr_audiobook_list, gr_group_custom_model, gr_convert_btn, + gr_voice_player_hidden, gr_voice_play, gr_voice_del_btn, gr_custom_model_file, gr_custom_model_del_btn + ] + outputs_refresh_interface = [ + gr_modal, gr_group_main, gr_tab_xtts_params, gr_tab_bark_params, gr_convert_btn, + gr_ebook_src, gr_ebook_textarea, gr_device, gr_audiobook_player, gr_audiobook_list, + gr_voice_list, gr_voice_highlight_css, gr_progress + ] + outputs_on_voice_upload = [ + gr_ebook_src, gr_ebook_textarea, gr_ebook_mode, gr_language, gr_tts_engine_list, + gr_fine_tuned_list, gr_custom_model_file, gr_custom_model_list, gr_session_switch_btn, + gr_convert_btn, gr_voice_play, gr_voice_del_btn + ] + outputs_on_custom_upload = [ + gr_ebook_src, gr_ebook_textarea, gr_ebook_mode, gr_language, gr_tts_engine_list, + gr_fine_tuned_list, gr_voice_file, gr_session_switch_btn, + gr_voice_play, gr_voice_del_btn, gr_convert_btn, gr_custom_model_del_btn + ] + + ######### event triggers + + gr_ebook_src.upload( + fn=_upload_gr_ebook_src, + inputs=[gr_session, gr_ebook_mode], + outputs=None + ) + _chain_enable( + gr_ebook_src.change( + fn=_change_gr_ebook_src, + inputs=[gr_session, gr_ebook_mode, gr_ebook_src], + outputs=[gr_modal, gr_voice_highlight_css, gr_voice_list, gr_row_voice_player, gr_voice_selected_filename, gr_progress], + show_progress_on=[gr_ebook_src] + ), + always=True + ) + gr_ebook_src.select( + fn=_select_gr_ebook_src, + inputs=[gr_session, gr_ebook_mode, gr_ebook_src], + outputs=[gr_voice_list, gr_voice_highlight_css, gr_row_voice_player, gr_voice_selected_filename], + show_progress='hidden' + ) + gr_ebook_textarea.change( + fn=_change_gr_ebook_textarea, + inputs=[gr_session, gr_ebook_textarea], + outputs=None + ) + gr_ebook_mode.change( + fn=_change_gr_ebook_mode, + inputs=[gr_session, gr_ebook_mode], + outputs=[gr_ebook_src, gr_ebook_textarea, gr_convert_btn, gr_voice_highlight_css, gr_row_voice_player, gr_voice_selected_filename], + show_progress_on=[gr_progress] + ).then( + fn=None, + inputs=[gr_ebook_mode], + outputs=None, + js=f'''(mode)=>{{if(mode === "{ebook_modes['TEXT']}"){{window.gr_ebook_textarea_counter();}}}}''' + ) + gr_blocks_preview.select( + fn=lambda session_id, val: _change_param('blocks_preview', session_id, bool(val)), + inputs=[gr_session, gr_blocks_preview], + outputs=None + ) + gr_voice_file.upload( + fn=_disable_on_voice_upload, + inputs=None, + outputs=outputs_on_voice_upload, + show_progress_on=[gr_voice_file] + ).then( + fn=_change_gr_voice_file, + inputs=[gr_session, gr_voice_file], + outputs=[gr_voice_list], + show_progress_on=[gr_voice_list] + ).then( + fn=lambda: gr.update(value=None), + inputs=None, + outputs=[gr_voice_file], + show_progress_on=[gr_voice_list] + ).then( + fn=_enable_on_voice_upload, + inputs=[gr_session], + outputs=outputs_on_voice_upload, + show_progress_on=[gr_voice_list] + ) + gr_voice_list.change( + fn=_change_gr_voice_list, + inputs=[gr_session, gr_voice_list], + outputs=[gr_voice_player_hidden, gr_voice_play, gr_voice_del_btn], + show_progress_on=[gr_progress] + ) + gr_voice_del_btn.click( + fn=_click_gr_voice_del_btn, + inputs=[gr_session, gr_voice_list], + outputs=[gr_modal, gr_data_field_hidden], + show_progress_on=[gr_progress] + ) + gr_device.change( + fn=_change_gr_device, + inputs=[gr_session, gr_device], + outputs=None + ) + gr_language.change( + fn=_change_gr_language, + inputs=[gr_session, gr_language], + outputs=[gr_translate, gr_tts_engine_list, gr_custom_model_list, gr_fine_tuned_list], + show_progress_on=[gr_progress] + ).then( + fn=_update_gr_voice_list, + inputs=[gr_session], + outputs=[gr_voice_list], + show_progress_on=[gr_progress] + ) + gr_translate_enabled.change( + fn=_click_gr_translate_enabled, + inputs=[gr_session, gr_translate_enabled], + outputs=[gr_translate, gr_tts_engine_list, gr_custom_model_list, gr_fine_tuned_list, gr_voice_list], + show_progress_on=[gr_progress] + ) + gr_translate.change( + fn=_change_gr_translate, + inputs=[gr_session, gr_translate], + outputs=[gr_tts_engine_list, gr_custom_model_list, gr_fine_tuned_list], + show_progress_on=[gr_progress] + ).then( + fn=_change_gr_tts_engine_list, + inputs=[gr_session, gr_tts_engine_list], + outputs=[gr_tts_rating, gr_tab_xtts_params, gr_tab_bark_params, gr_group_custom_model, gr_fine_tuned_list, gr_custom_model_file, gr_custom_model_list], + show_progress_on=[gr_progress] + ) + gr_tts_engine_list.change( + fn=_change_gr_tts_engine_list, + inputs=[gr_session, gr_tts_engine_list], + outputs=[gr_tts_rating, gr_tab_xtts_params, gr_tab_bark_params, gr_group_custom_model, gr_fine_tuned_list, gr_custom_model_file, gr_custom_model_list], + show_progress_on=[gr_progress] + ).then( + fn=_update_gr_voice_list, + inputs=[gr_session], + outputs=[gr_voice_list], + show_progress_on=[gr_progress] + ) + gr_fine_tuned_list.change( + fn=_change_gr_fine_tuned_list, + inputs=[gr_session, gr_fine_tuned_list], + outputs=[gr_group_custom_model], + show_progress_on=[gr_progress] + ).then( + fn=_update_gr_voice_list, + inputs=[gr_session], + outputs=[gr_voice_list], + show_progress_on=[gr_progress] + ) + gr_custom_model_file.upload( + fn=_disable_on_custom_upload, + inputs=None, + outputs=outputs_on_custom_upload, + show_progress_on=[gr_custom_model_file] + ).then( + fn=_change_gr_custom_model_file, + inputs=[gr_session, gr_custom_model_file, gr_tts_engine_list], + outputs=[gr_custom_model_file, gr_custom_model_list], + show_progress_on=[gr_custom_model_list] + ).then( + fn=_update_gr_voice_list, + inputs=[gr_session], + outputs=[gr_voice_list], + show_progress_on=[gr_custom_model_list] + ).then( + fn=_enable_on_custom_upload, + inputs=[gr_custom_model_list, gr_ebook_src, gr_ebook_textarea], + outputs=outputs_on_custom_upload, + show_progress_on=[gr_custom_model_list] + ) + gr_custom_model_list.change( + fn=_change_gr_custom_model_list, + inputs=[gr_session, gr_custom_model_list], + outputs=[gr_fine_tuned_list, gr_voice_list, gr_custom_model_del_btn], + show_progress_on=[gr_progress] + ) + gr_custom_model_del_btn.click( + fn=_click_gr_custom_model_del_btn, + inputs=[gr_session, gr_custom_model_list], + outputs=[gr_modal, gr_data_field_hidden], + show_progress_on=[gr_progress] + ) + gr_output_format_list.change( + fn=_change_gr_output_format_list, + inputs=[gr_session, gr_output_format_list], + outputs=None + ) + gr_output_channel_list.change( + fn=_change_gr_output_channel_list, + inputs=[gr_session, gr_output_channel_list], + outputs=None + ) + gr_output_split.select( + fn=_change_gr_output_split, + inputs=[gr_session, gr_output_split], + outputs=[gr_row_output_split_hours], + show_progress_on=[gr_progress] + ) + gr_output_split_hours.change( + fn=lambda session_id, val: _change_param('output_split_hours', session_id, str(val)), + inputs=[gr_session, gr_output_split_hours], + outputs=None + ) + gr_session_switch_btn.click( + fn=_click_gr_session_switch_btn, + inputs=[gr_session, gr_backup_session], + outputs=[gr_restore_session, gr_session, gr_backup_session, gr_session_switch_btn, gr_session_switch_disable_state, gr_session_switch_enable_state], + show_progress_on=[gr_session_switch_btn] + ) + gr_session_switch_disable_state.change( + fn=lambda session_id: _disable_components(session_id, exceptions=['gr_session_switch_btn']), + inputs=[gr_session_switch_disable_state], + outputs=outputs_disable_components, + show_progress_on=[gr_session_switch_btn], + queue=False + ).then( + fn=lambda: None, + inputs=None, + outputs=[gr_session_switch_disable_state], + js=f''' + ()=>{{ + const elem = document.querySelector("#gr_session textarea"); + if(elem){{ + elem.select(); + }} + {js_hide_elements} + }} + ''' + ) + gr_session_switch_enable_state.change( + fn=_enable_components, + inputs=[gr_session_switch_enable_state], + outputs=outputs_enable_components, + show_progress_on=[gr_session_switch_btn] + ).then( + fn=lambda: None, + inputs=None, + outputs=[gr_session_switch_enable_state], + js=f''' + ()=>{{ + const elem = document.querySelector("#gr_session textarea"); + if(elem){{ + elem.setSelectionRange(0, 0); + }} + {js_show_elements} + }} + ''' +) + gr_progress.change( + fn=None, + inputs=[gr_progress], + js=r''' + (filename)=>{ + if(filename){ + const gr_root = (window.gradioApp && window.gradioApp()) || document; + const gr_ebook_src = gr_root.querySelector("#gr_ebook_src"); + if(!gr_ebook_src){ + return; + } + function normalizeForGradio(name){ + return name + .normalize("NFC") + // Remove chars not supported by OS paths + .replace(/[<>:"/\\|?*\x00-\x1F]/g, "") + // Remove Gradio-sanitized odd punctuation (including quotes) + .replace(/[!(){}\[\]']/g, "") + // Collapse multiple dots/spaces before extension + .replace(/\s+\./g, ".") + // Strip trailing spaces/dots (Windows forbids) + .replace(/[. ]+$/, "") + // Remove Arabic tatweel/harakat + .replace(/[\u0640\u0651\u064B-\u065F]/g, "") + .trim(); + } + const rows = gr_ebook_src.querySelectorAll("table.file-preview tr.file"); + rows.forEach((row, idx) => { + const filenameCell = row.querySelector("td.filename"); + if (filenameCell) { + const rowName = normalizeForGradio(filenameCell.getAttribute("aria-label")); + filename = filename.split("/")[0].trim(); + if (rowName === filename) { + row.style.display = "none"; + } + } + }); + } + } + ''' + ) + gr_playback_time.change( + fn=_change_gr_playback_time, + inputs=[gr_session, gr_playback_time], + js=''' + (time)=>{ + try{ + window.session_storage.playback_time = Number(time); + }catch(e){ + console.warn("gr_playback_time.change error: "+e); + } + } + ''' + ) + gr_audiobook_download_btn.click( + fn=_toggle_audiobook_files, + inputs=[gr_session, gr_audiobook_list, gr_audiobook_files_state], + outputs=[gr_audiobook_files, gr_audiobook_files_state], + show_progress_on=[gr_audiobook_list] + ) + gr_audiobook_list.change( + fn=_change_gr_audiobook_list, + inputs=[gr_session, gr_audiobook_list], + outputs=[gr_group_audiobook_list], + show_progress_on=[gr_audiobook_list] + ).then( + fn=_update_gr_audiobook_player, + inputs=[gr_session], + outputs=[gr_playback_time, gr_audiobook_player, gr_audiobook_vtt], + show_progress_on=[gr_audiobook_list] + ).then( + fn=lambda: (gr.update(visible=False, value=None), False), + inputs=None, + outputs=[gr_audiobook_files, gr_audiobook_files_state], + show_progress_on=[gr_audiobook_list], + js='()=>{window.load_vtt();}' + ) + gr_audiobook_del_btn.click( + fn=_click_gr_audiobook_del_btn, + inputs=[gr_session, gr_audiobook_list], + outputs=[gr_modal, gr_data_field_hidden], + show_progress_on=[gr_audiobook_list] + ) + + ########### XTTS Params + + gr_tab_xtts_params.select( + fn=None, + inputs=None, + outputs=None, + js=''' + () => { + if (!window._xtts_sliders_initialized) { + const checkXttsExist = setInterval(() => { + const slider = document.querySelector("#gr_xtts_speed input[type=range]"); + if(slider){ + clearInterval(checkXttsExist); + window._xtts_sliders_initialized = true; + init_xtts_sliders(); + } + }, 500); + } + } + ''' + ) + gr_xtts_temperature.change( + fn=lambda session_id, val: _change_param('xtts_temperature', session_id, float(val)), + inputs=[gr_session, gr_xtts_temperature], + outputs=None + ) + gr_xtts_length_penalty.change( + fn=lambda session_id, val, val2: _change_param('xtts_length_penalty', session_id, int(val), int(val2)), + inputs=[gr_session, gr_xtts_length_penalty, gr_xtts_num_beams], + outputs=None, + ) + gr_xtts_num_beams.change( + fn=lambda session_id, val, val2: _change_param('xtts_num_beams', session_id, int(val), int(val2)), + inputs=[gr_session, gr_xtts_num_beams, gr_xtts_length_penalty], + outputs=None, + ) + gr_xtts_repetition_penalty.change( + fn=lambda session_id, val: _change_param('xtts_repetition_penalty', session_id, float(val)), + inputs=[gr_session, gr_xtts_repetition_penalty], + outputs=None + ) + gr_xtts_top_k.change( + fn=lambda session_id, val: _change_param('xtts_top_k', session_id, int(val)), + inputs=[gr_session, gr_xtts_top_k], + outputs=None + ) + gr_xtts_top_p.change( + fn=lambda session_id, val: _change_param('xtts_top_p', session_id, float(val)), + inputs=[gr_session, gr_xtts_top_p], + outputs=None + ) + gr_xtts_speed.change( + fn=lambda session_id, val: _change_param('xtts_speed', session_id, float(val)), + inputs=[gr_session, gr_xtts_speed], + outputs=None + ) + gr_xtts_enable_text_splitting.select( + fn=lambda session_id, val: _change_param('xtts_enable_text_splitting', session_id, bool(val)), + inputs=[gr_session, gr_xtts_enable_text_splitting], + outputs=None + ) + + ########### BARK Params + + gr_tab_bark_params.select( + fn=None, + inputs=None, + outputs=None, + js=''' + ()=>{ + if (!window._bark_sliders_initialized) { + const checkBarkExist = setInterval(() => { + const slider = document.querySelector("#gr_bark_waveform_temp input[type=range]"); + if(slider){ + clearInterval(checkBarkExist); + window._bark_sliders_initialized = true; + init_bark_sliders(); + } + }, 500); + } + } + ''' + ) + gr_bark_text_temp.change( + fn=lambda session_id, val: _change_param('bark_text_temp', session_id, float(val)), + inputs=[gr_session, gr_bark_text_temp], + outputs=None + ) + gr_bark_waveform_temp.change( + fn=lambda session_id, val: _change_param('bark_waveform_temp', session_id, float(val)), + inputs=[gr_session, gr_bark_waveform_temp], + outputs=None + ) + + ############ Timer to save session to localStorage + + gr_timer = gr.Timer(9, active=False) + gr_timer.tick( + fn=_update_gr_save_session, + inputs=[gr_session, gr_session_update], + outputs=[gr_save_session, gr_session_update, gr_audiobook_list] + ) + + ########### Main chains + + _chain_enable( + _chain_check_override( + gr_convert_btn.click( + fn=_disable_components, + inputs=[gr_session], + outputs=outputs_disable_components, + show_progress_on=[gr_progress], + queue=False + ) + ), + always=False + ).then( + js=f'()=>{{{js_hide_elements}}}' + ) + _chain_enable( + gr_override_cancel_btn.click( + fn=_click_gr_override_cancel_btn, + inputs=[gr_session], + outputs=[gr_modal], + show_progress_on=[gr_progress] + ), + always=True + ) + gr_override_confirm_btn.click( + fn=_click_gr_override_confirm_btn, + inputs=[gr_session, gr_event, gr_audiobook_files_state], + outputs=[gr_modal, gr_event, gr_audiobook_list, gr_audiobook_files, gr_audiobook_files_state], + show_progress_on=[gr_progress] + ) + _chain_enable( + _chain_check_override( + _chain_refresh( + gr_event.change( + fn=_disable_components, + inputs=[gr_session], + outputs=outputs_disable_components, + show_progress_on=[gr_progress], + queue=False + ).then( + fn=lambda: None, + js=f'()=>{{{js_hide_elements}}}' + ).then( + fn=_start_conversion, + inputs=inputs_start_conversion, + outputs=[gr_progress], + show_progress_on=[gr_progress], + ).then( + fn=_edit_blocks, + inputs=[gr_session], + outputs=outputs_edit_blocks, + show_progress_on=[gr_progress] + ) + ) + ), + always=False + ) + _chain_enable( + gr_blocks_cancel_btn.click( + fn=lambda: (gr.update(interactive=False), gr.update(interactive=False)), + outputs=[gr_blocks_cancel_btn, gr_blocks_confirm_btn], + show_progress_on=[gr_progress], + queue=False + ).then( + fn=_click_gr_blocks_cancel_btn, + inputs=[gr_session, gr_blocks_page, gr_blocks_data, gr_blocks_expands, *blocks_keeps, *blocks_voices, *blocks_texts], + outputs=[gr_convert_btn, gr_group_main, gr_audiobook_list, gr_group_blocks, gr_blocks_data], + show_progress_on=[gr_progress] + ), + always=True + ) + _chain_enable( + gr_blocks_confirm_btn.click( + fn=lambda page, blocks, expands, *args: _collect_page(page, blocks, expands, *args), + inputs=[gr_blocks_page, gr_blocks_data, gr_blocks_expands, *blocks_keeps, *blocks_voices, *blocks_texts], + outputs=[gr_blocks_data], + show_progress_on=[gr_progress] + ).then( + fn=_click_gr_blocks_confirm_btn, + inputs=[gr_session, gr_blocks_event, gr_blocks_page, gr_blocks_data, gr_blocks_expands, *blocks_keeps, *blocks_voices, *blocks_texts], + outputs=[gr_blocks_cancel_btn, gr_blocks_confirm_btn, gr_group_main, gr_group_blocks, gr_audiobook_list, gr_blocks_event], + show_progress_on=[gr_progress] + ) + ) + _chain_enable( + _chain_check_override( + _chain_refresh( + gr_blocks_event.change( + fn=finalize_audiobook, + inputs=[gr_session], + outputs=[gr_progress, gr_dummy_bool], + #show_progress_on=[gr_progress] + ) + ) + ), + always=True + ).then( + fn=None, + inputs=None, + outputs=None, + js='()=>{window.load_vtt();}' + ) + ########### + gr_blocks_back_btn.click( + fn=lambda session_id, page, blocks, *args: _navigate(session_id, page, blocks, -1, *args), + inputs=[gr_session, gr_blocks_page, gr_blocks_data, gr_blocks_expands, *blocks_keeps, *blocks_voices, *blocks_texts], + outputs=[gr_blocks_data, gr_blocks_page, gr_blocks_back_btn, gr_blocks_next_btn], + show_progress_on=[gr_blocks_nav] + ).then( + fn=_populate_page, + inputs=[gr_session, gr_blocks_page, gr_blocks_data], + outputs=[*blocks_components_flat, gr_blocks_header, gr_blocks_expands], + show_progress_on=[gr_blocks_nav] + ) + gr_blocks_next_btn.click( + fn=lambda session_id, page, blocks, *args: _navigate(session_id, page, blocks, 1, *args), + inputs=[gr_session, gr_blocks_page, gr_blocks_data, gr_blocks_expands, *blocks_keeps, *blocks_voices, *blocks_texts], + outputs=[gr_blocks_data, gr_blocks_page, gr_blocks_back_btn, gr_blocks_next_btn], + show_progress_on=[gr_blocks_nav] + ).then( + fn=_populate_page, + inputs=[gr_session, gr_blocks_page, gr_blocks_data], + outputs=[*blocks_components_flat, gr_blocks_header, gr_blocks_expands], + show_progress_on=[gr_blocks_nav] + ) + ############# + gr_save_session.change( + fn=None, + inputs=[gr_save_session], + js=''' + (data)=>{ + try{ + if(data){ + localStorage.clear(); + data.playback_time = Number(window.session_storage.playback_time); + data.playback_volume = parseFloat(window.session_storage.playback_volume); + localStorage.setItem("data", JSON.stringify(data)); + } + }catch(e){ + console.warn("gr_save_session.change error: "+e); + } + } + ''' + ) + gr_restore_session.change( + fn=_change_gr_restore_session, + inputs=[gr_restore_session, gr_session_update], + outputs=[gr_save_session, gr_session_update, gr_session, gr_glassmask], + show_progress_on=[gr_progress] + ).then( + fn=_restore_interface, + inputs=[gr_session], + outputs=outputs_restore_interface, + show_progress_on=[gr_progress] + ).then( + fn=_restore_audiobook_player, + inputs=[gr_session, gr_audiobook_list], + outputs=[gr_group_audiobook_list, gr_audiobook_player, gr_timer], + show_progress_on=[gr_progress] + ).then( + fn=lambda session: _update_gr_glassmask(attr=['gr-glass-mask', 'hide']) if session else gr.update(), + inputs=[gr_session], + outputs=[gr_glassmask], + show_progress_on=[gr_progress] + ).then( + fn=None, + inputs=None, + js='()=>{window.init_interface();}' + ) + gr_deletion_confirm_btn.click( + fn=_click_gr_deletion, + inputs=[gr_session, gr_voice_list, gr_custom_model_list, gr_audiobook_list, gr_data_field_hidden], + outputs=[gr_modal, gr_custom_model_list, gr_audiobook_list, gr_voice_list], + show_progress_on=[gr_progress] + ) + gr_deletion_cancel_btn.click( + fn=_click_gr_deletion, + inputs=[gr_session, gr_voice_list, gr_custom_model_list, gr_audiobook_list], + outputs=[gr_modal, gr_custom_model_list, gr_audiobook_list, gr_voice_list], + show_progress_on=[gr_progress] + ) + ############ + app.load( + fn=None, + js=r''' + ()=>{ + try{ + let gr_root = (window.gradioApp && window.gradioApp()) || document; + let gr_checkboxes; + let gr_radios; + let gr_voice_player_hidden; + let gr_audiobook_vtt; + let gr_audiobook_sentence; + let gr_audiobook_player; + let gr_playback_time; + let gr_progress; + let gr_voice_play; + let gr_ebook_textarea; + let tabs_open = false; + let init_elements_timeout; + let init_audiobook_player_timeout; + let audio_filter = ""; + let cues = []; + if(typeof window.onElementAvailable !== "function"){ + window.onElementAvailable = (selector, callback, { root = (window.gradioApp && window.gradioApp()) || document, once = false } = {})=> { + const seen = new WeakSet(); + const fireFor = (context) => { + context.querySelectorAll(selector).forEach((el) => { + if (seen.has(el)) return; + const success = callback(el); + if (success !== false) { + // Mark as seen only if callback succeeded + seen.add(el); + if (once) return; + } else { + // Retry check later (in case conditions weren’t met yet) + setTimeout(() => fireFor(root), 300); + } + }); + }; + fireFor(root); + const observer = new MutationObserver((mutations) => { + for (const m of mutations) { + for (const n of m.addedNodes) { + if (n.nodeType !== 1) continue; + if (n.matches?.(selector)) { + if (!seen.has(n)) { + const success = callback(n); + if (success !== false) { + seen.add(n); + if (once) { + observer.disconnect(); + return; + } + } else { + setTimeout(() => fireFor(root), 300); + } + } + } else { + fireFor(n); + } + } + } + }); + observer.observe(root, { childList: true, subtree: true }); + return () => observer.disconnect(); + } + } + if(typeof window.init_interface !== "function"){ + window.init_interface = ()=>{ + try { + gr_root = (window.gradioApp && window.gradioApp()) || document; + gr_progress = (gr_root) ? gr_root.querySelector("#gr_progress") : undefined; + if(!gr_root || !gr_progress){ + clearTimeout(init_elements_timeout); + console.warn("Components not ready… retrying"); + init_elements_timeout = setTimeout(init_interface, 1000); + return; + } + // Function to apply theme borders + function applyThemeBorders(){ + const url = new URL(window.location); + const theme = url.searchParams.get("__theme"); + let elColor = "#666666"; + if(theme == "dark"){ + elColor = "#fff"; + }else if(!theme){ + const osTheme = window.matchMedia?.("(prefers-color-scheme: dark)").matches; + if(osTheme){ + elColor = "#fff"; + } + } + gr_root.querySelectorAll("input[type='checkbox'], input[type='radio']") + .forEach(cb => cb.style.border = "1px solid " + elColor); + } + // Run once on init + applyThemeBorders(); + // Re-run when DOM changes (tabs, redraws, etc.) + new MutationObserver(applyThemeBorders).observe(gr_root, { + childList: true, + subtree: true + }); + // Keep your progress observer + new MutationObserver(tab_progress).observe(gr_progress, { + attributes: true, + childList: true, + subtree: true, + characterData: true + }); + // new MutationObserver(tab_progress).observe(gr_progress.parentElement, { ... }); + // gr_progress.addEventListener("change", tab_progress); + if(!window._tab_progress_interval){ + window._tab_progress_interval = setInterval(tab_progress, 500); + } + window.gr_ebook_textarea_counter(); + }catch(e){ + console.warn("init_interface error:", e); + } + }; + } + if(typeof(window._restoreSlider) !== "function"){ + window._restoreSlider = (slider, parseFn = parseFloat)=>{ + if(!slider) return; + const container = slider.closest("div[id]"); + if(!container) return; + const key = container.id.replace(/^gr_/, ""); + const saved = window.session_storage?.[key]; + if(saved === undefined || saved === null || saved === ""){ + return; + } + const parsed = parseFn(saved); + if(!Number.isFinite(parsed)){ + return; + } + slider.value = parsed; + slider.dispatchEvent(new Event("input", { bubbles: true })); + }; + } + if(typeof(window.init_xtts_sliders) !== "function"){ + window.init_xtts_sliders = ()=>{ + try{ + const q = (id) => gr_root.querySelector(`#gr_${id} input[type=number]`); + window._restoreSlider(q("xtts_temperature")); + window._restoreSlider(q("xtts_repetition_penalty")); + window._restoreSlider(q("xtts_top_k"), (v) => parseInt(v, 10)); + window._restoreSlider(q("xtts_top_p")); + window._restoreSlider(q("xtts_speed")); + }catch(e){ + console.warn("init_xtts_sliders error:", e); + } + }; + } + if(typeof(window.init_bark_sliders) !== "function"){ + window.init_bark_sliders = ()=>{ + try{ + const q = (id) => gr_root.querySelector(`#gr_${id} input[type=number]`); + window._restoreSlider(q("bark_text_temp")); + window._restoreSlider(q("bark_waveform_temp")); + }catch(e){ + console.warn("init_bark_sliders error:", e); + } + }; + } + if(typeof window.init_voice_player_hidden !== "function"){ + window.init_voice_player_hidden = ()=>{ + try{ + const gr_voice_player_hidden = gr_root.querySelector("#gr_voice_player_hidden audio"); + const gr_voice_play = gr_root.querySelector("#gr_voice_play"); + if(gr_voice_player_hidden && gr_voice_play){ + if(gr_voice_play.dataset.bound === "true") return; + gr_voice_play.dataset.bound = "true"; + gr_voice_player_hidden.addEventListener("loadeddata", ()=>{ + gr_voice_play.textContent = "▶"; + }); + gr_voice_play.addEventListener("click", ()=>{ + if(gr_voice_player_hidden.paused){ + gr_voice_player_hidden.play().then(()=>{ + gr_voice_play.textContent = "⏸"; + }).catch(err => console.warn("Play failed:", err)); + }else{ + gr_voice_player_hidden.pause(); + gr_voice_play.textContent = "▶"; + } + }); + gr_voice_player_hidden.addEventListener("pause", ()=>{ + gr_voice_play.textContent = "▶"; + }); + gr_voice_player_hidden.addEventListener("ended", ()=>{ + gr_voice_play.textContent = "▶"; + }); + gr_voice_player_hidden.addEventListener("play", ()=>{ + const v = window.session_storage?.playback_volume ?? 1; + gr_voice_player_hidden.volume = v; + }); + return true; + }else{ + console.warn("Voice player not found yet, retrying…"); + setTimeout(window.init_voice_player_hidden, 500); + } + }catch(e){ + console.warn("init_voice_player_hidden error:", e); + } + return false; + }; + } + if(typeof(window.init_audiobook_player) !== "function"){ + window.init_audiobook_player = ()=>{ + try{ + if(gr_root){ + gr_audiobook_player = gr_root.querySelector("#gr_audiobook_player audio"); + gr_audiobook_sentence = gr_root.querySelector("#gr_audiobook_sentence textarea"); + gr_playback_time = gr_root.querySelector("#gr_playback_time input"); + let lastCue = null; + let fade_timeout = null; + let last_time = 0; + if(gr_audiobook_player && gr_audiobook_sentence && gr_playback_time){ + function trackPlayback(){ + try { + window.session_storage.playback_time = parseFloat(gr_audiobook_player.currentTime); + const cue = findCue(window.session_storage.playback_time); + if(cue && cue !== lastCue){ + if(fade_timeout){ + gr_audiobook_sentence.style.opacity = "1"; + }else{ + gr_audiobook_sentence.style.opacity = "0"; + } + gr_audiobook_sentence.style.transition = "none"; + gr_audiobook_sentence.value = cue.text; + clearTimeout(fade_timeout); + fade_timeout = setTimeout(() => { + gr_audiobook_sentence.style.transition = "opacity 0.15s ease-in"; + gr_audiobook_sentence.style.opacity = "1"; + fade_timeout = null; + }, 33); + lastCue = cue; + }else if(!cue && lastCue !== null){ + lastCue = null; + } + const now = performance.now(); + if(now - last_time > 1000){ + gr_playback_time.value = String(window.session_storage.playback_time); + gr_playback_time.dispatchEvent(new Event("input", {bubbles: true})); + last_time = now; + } + }catch(e){ + console.warn("gr_audiobook_player tracking error:", e); + } + if(!gr_audiobook_player.ended){ + requestAnimationFrame(trackPlayback); + } + } + gr_audiobook_player.addEventListener("loadeddata", ()=>{ + gr_audiobook_player.style.transition = "filter 1s ease"; + gr_audiobook_player.style.filter = audio_filter; + gr_audiobook_player.currentTime = parseFloat(window.session_storage?.playback_time) || 0; + gr_audiobook_player.volume = window.session_storage.playback_volume; + }); + gr_audiobook_player.addEventListener("play", ()=>{ + requestAnimationFrame(trackPlayback); + }); + gr_audiobook_player.addEventListener("seeked", ()=>{ + window.session_storage.playback_time = gr_audiobook_player.currentTime; + requestAnimationFrame(trackPlayback); + }); + gr_audiobook_player.addEventListener("ended", ()=>{ + gr_audiobook_sentence.value = "…"; + window.session_storage.playback_time = 0; + lastCue = null; + }); + gr_audiobook_player.addEventListener("volumechange", ()=>{ + window.session_storage.playback_volume = gr_audiobook_player.volume; + gr_voice_player_hidden = gr_root.querySelector("#gr_voice_player_hidden audio"); + if(gr_voice_player_hidden){ + gr_voice_player_hidden.volume = gr_audiobook_player.volume; + gr_voice_player_hidden.dispatchEvent(new Event("volumechange", { bubbles: true })); + } + }); + const themURL = new URL(window.location); + const theme = themURL.searchParams.get("__theme"); + let osTheme; + if(theme){ + if(theme == "dark"){ + audio_filter = "invert(1) hue-rotate(180deg)"; + } + }else{ + osTheme = window.matchMedia?.("(prefers-color-scheme: dark)").matches; + if(osTheme){ + audio_filter = "invert(1) hue-rotate(180deg)"; + } + } + gr_audiobook_player.style.transition = "filter 1s ease"; + gr_audiobook_player.style.filter = audio_filter; + gr_audiobook_player.volume = window.session_storage.playback_volume; + return true; + } + } + }catch(e){ + console.warn("init_audiobook_player error:", e); + } + return false; + }; + } + if(typeof window.gr_ebook_textarea_counter !== "function"){ + const max_ebook_textarea_length = __max_ebook_textarea_length__; + window.gr_ebook_textarea_counter = function(){ + const container = document.querySelector("#gr_ebook_textarea"); + if(container){ + const textarea = container.querySelector("textarea"); + const ebook_textarea_toolbar = document.querySelector("#ebook_textarea_toolbar"); + document.querySelector("#ebook_textarea_toolbar")?.remove(); + container.style.position = "relative"; + const toolbar = document.createElement("div"); + toolbar.id = toolbar.name = "ebook_textarea_toolbar"; + toolbar.style.cssText = "position:absolute;top:4px;right:8px;display:flex;align-items:center;gap:6px;z-index:1;"; + const counter = document.createElement("span"); + counter.style.cssText = "font-size:0.85em;color:var(--body-text-color);"; + counter.textContent = textarea.value.length + " / " + max_ebook_textarea_length; + toolbar.appendChild(counter); + const btn = document.createElement("button"); + btn.textContent = "🗑"; + btn.id = btn.name = "clear_ebook_textarea"; + btn.className = "micro-btn"; + btn.addEventListener("click", ()=>{ + textarea.value = ""; + textarea.dispatchEvent(new Event("input", {bubbles: true})); + counter.textContent = "0 / " + max_ebook_textarea_length; + counter.style.color = "var(--body-text-color)"; + }); + textarea.addEventListener("input", ()=>{ + const len = textarea.value.length; + counter.textContent = len + " / " + max_ebook_textarea_length; + counter.style.color = len >= max_ebook_textarea_length ? "red" : "var(--body-text-color)"; + }); + toolbar.appendChild(btn); + container.appendChild(toolbar); + } + }; + } + if(typeof(window.tab_progress) !== "function"){ + window.tab_progress = ()=>{ + try{ + const gr_root = (window.gradioApp && window.gradioApp()) || document; + const el = gr_root.querySelector("#gr_progress"); + const val = el?.value || el?.textContent || ""; + const valArray = splitAtLastDash(val); + if(valArray[1]){ + const title = valArray[0].trim().split(/ (.*)/)[1].trim(); + const percentage = valArray[1].trim(); + const titleShort = title.length >= 20 ? title.slice(0, 20).trimEnd() + "…" : title; + document.title = titleShort + ": " + percentage; + }else{ + document.title = "Ebook2Audiobook"; + } + }catch(e){ + console.warn("tab_progress error:", e); + } + }; + } + if(typeof(splitAtLastDash) !== "function"){ + function splitAtLastDash(s){ + const idx = s.lastIndexOf("-"); + if(idx === -1){ + return [s]; + } + return [s.slice(0, idx).trim(), s.slice(idx + 1).trim()]; + } + } + if(typeof(window.load_vtt) !== "function"){ + window.load_vtt = ()=>{ + try{ + gr_audiobook_vtt = gr_root.querySelector("#gr_audiobook_vtt textarea"); + gr_audiobook_sentence = gr_root.querySelector("#gr_audiobook_sentence textarea"); + if(gr_audiobook_sentence){ + gr_audiobook_sentence.style.fontSize = "14px"; + gr_audiobook_sentence.style.fontWeight = "bold"; + gr_audiobook_sentence.style.width = "100%"; + gr_audiobook_sentence.style.height = "auto"; + gr_audiobook_sentence.style.textAlign = "center"; + gr_audiobook_sentence.style.margin = "0"; + gr_audiobook_sentence.style.padding = "7px 0 7px 0"; + gr_audiobook_sentence.style.lineHeight = "14px"; + const txt = gr_audiobook_vtt.value; + if(txt == ""){ + gr_audiobook_sentence.value = "…"; + }else{ + parseVTT(txt); + } + } + }catch(e){ + console.warn("load_vtt error:", e); + } + }; + } + if(typeof(window.parseVTT) !== "function"){ + window.parseVTT = (vtt)=>{ + function pushCue(){ + if(start !== null && end !== null && textBuffer.length){ + cues.push({ start, end, text: textBuffer.join("\n") }); + } + start = end = null; + textBuffer.length = 0; + } + const lines = vtt.split(/\r?\n/); + const timePattern = /(\d{2}:)?\d{2}:\d{2}\.\d{3}/; + let start = null, end = null; + cues = []; + textBuffer = []; + for(let i = 0, len = lines.length; i < len; i++){ + const line = lines[i]; + if(!line.trim()){ pushCue(); continue; } + if(line.includes("-->")){ + const [s, e] = line.split("-->").map(l => l.trim().split(" ")[0]); + if(timePattern.test(s) && timePattern.test(e)){ + start = toSeconds(s); + end = toSeconds(e); + } + }else if(!timePattern.test(line)){ + textBuffer.push(line); + } + } + pushCue(); + } + } + if(typeof(toSeconds) !== "function"){ + function toSeconds(ts){ + const parts = ts.split(":"); + if(parts.length === 3){ + return parseInt(parts[0], 10) * 3600 + + parseInt(parts[1], 10) * 60 + + parseFloat(parts[2]); + } + return parseInt(parts[0], 10) * 60 + parseFloat(parts[1]); + } + } + if(typeof(findCue) !== "function"){ + function findCue(time){ + let lo = 0, hi = cues.length - 1; + while(lo <= hi){ + const mid = (lo + hi) >> 1; + const cue = cues[mid]; + if(time < cue.start){ + hi = mid - 1; + }else if(time >= cue.end){ + lo = mid + 1; + }else{ + return cue; + } + } + return null; + } + } + if(typeof(splitAtLastDash) !== "function"){ + function splitAtLastDash(s){ + const idx = s.lastIndexOf("-"); + if(idx === -1){ + return [s]; + } + return [s.slice(0, idx).trim(), s.slice(idx + 1).trim()]; + } + } + if(typeof(show_glassmask) !== "function"){ + function show_glassmask(msg){ + let glassmask = document.querySelector("#gr_glassmask"); + if(!glassmask){ + glassmask = document.createElement("div"); + glassmask.id = "gr_glassmask"; + document.body.appendChild(glassmask); + } + glassmask.className = "gr-glass-mask"; + glassmask.innerHTML = `${msg}`; + } + } + if(typeof(create_uuid) !== "function"){ + function create_uuid(){ + try{ + return crypto.randomUUID(); + }catch(e){ + return "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g, c =>{ + const r = Math.random() * 16 | 0; + const v = c === "x" ? r : (r & 0x3 | 0x8); + return v.toString(16); + }); + } + } + } + ////////////////////// + const bc = new BroadcastChannel("E2A-channel"); + const tab_id = create_uuid(); + bc.onmessage = (event)=>{ + try{ + const msg = event.data; + if(!msg || msg.senderId === tab_id){ + return; + } + switch (msg.type){ + case "check-existing": + bc.postMessage({ type: "already-open", senderId: tab_id }); + break; + case "already-open": + tabs_open = true; + break; + case "new-tab-open": + show_glassmask(msg.text); + break; + } + }catch(e){ + console.warn("bc.onmessage error:", e); + } + }; + window.addEventListener("beforeunload", ()=>{ + try{ + const newStorage = JSON.parse(localStorage.getItem("data") || "{}"); + if(newStorage.tab_id == window.tab_id || !newStorage.tab_id){ + delete newStorage.tab_id; + delete newStorage.status; + newStorage.playback_time = Number(window.session_storage.playback_time); + newStorage.playback_volume = parseFloat(window.session_storage.playback_volume); + localStorage.setItem("data", JSON.stringify(newStorage)); + } + }catch(e){ + console.warn("Error updating status on unload:", e); + } + }); + window.onElementAvailable("#gr_voice_player_hidden audio", (el)=>{ + window.init_voice_player_hidden(); + }, {once: false}); + window.onElementAvailable("#gr_audiobook_player audio", (el)=>{ + window.init_audiobook_player(); + }, {once: false}); + if (!window._fetch_patched) { + const originalFetch = window.fetch; + window._original_fetch = window._original_fetch || originalFetch; + window.fetch = async function(url, options) { + if (typeof url === "string" && url.includes("/upload") && options?.body instanceof FormData){ + let has_files = false; + for(const [, value] of options.body.entries()){ + if(value instanceof File && value.size > 0){ + has_files = true; + break; + } + } + if(!has_files){ + console.warn("Blocked empty folder upload"); + return new Response(JSON.stringify([]), { + status: 200, + headers: {"Content-Type": "application/json"}, + }); + } + } + return window._original_fetch.apply(this, arguments); + }; + window._fetch_patched = true; + } + try{ + bc.postMessage({ type: "check-existing", senderId: tab_id }); + setTimeout(()=>{ + if(tabs_open){ + bc.postMessage({ + type: "new-tab-open", + text: "Session expired.<br/>You can close this window", + senderId: tab_id + }); + } + }, 250); + }catch(e){ + console.warn("bc.postMessage error:", e); + } + const currentStorage = localStorage.getItem("data"); + if(currentStorage){ + window.session_storage = JSON.parse(currentStorage); + window.session_storage.tab_id = tab_id; + if(window.session_storage.playback_volume === 0){ + window.session_storage.playback_volume = 1.0; + } + }else{ + window.session_storage = {}; + window.session_storage.playback_time = 0; + window.session_storage.playback_volume = 1.0; + } + return window.session_storage; + }catch(e){ + console.warn("gr_raed_data js error:", e); + } + return null; + } + '''.replace('__max_ebook_textarea_length__', str(max_ebook_textarea_length)), + outputs=[gr_restore_session], + ) + app.unload(on_unload) + all_ips = get_all_ip_addresses() + msg = f'IPs available for connection:\n{all_ips}\nNote: 0.0.0.0 is not the IP to connect. Instead use an IP above to connect and port {interface_port}' + show_alert(None, {"type": "info", "msg": msg}) + os.environ['no_proxy'] = ' ,'.join(all_ips) + return app + except Exception as e: + error = f'An unexpected error occurred: {e}' + exception_alert(None, error) + return None diff --git a/models/.gitkeep b/models/.gitkeep new file mode 100755 index 0000000..e69de29 diff --git a/podman-compose.yml b/podman-compose.yml new file mode 100644 index 0000000..4c822e1 --- /dev/null +++ b/podman-compose.yml @@ -0,0 +1,98 @@ +# podman-compose.yml — universal across cpu / cuda / rocm / xpu (+ jetson), +# on both amd64 and arm64. Pick the accelerator with --profile. +# +# podman-compose --profile cpu up +# DEVICE_TAG=cu130 podman-compose --profile cuda up +# DEVICE_TAG=jetson51 podman-compose --profile jetson up +# DEVICE_TAG=rocm podman-compose --profile rocm up +# DEVICE_TAG=xpu podman-compose --profile xpu up +# +# Architecture (amd64 vs arm64) is NOT a profile. It is decided by the host you +# run on plus the matching DEVICE_TAG image — the device entries below are +# arch-agnostic at the compose layer. +# +# Always confirm a profile expands correctly before running it: +# DEVICE_TAG=rocm podman-compose --profile rocm config + +x-common: &common + image: localhost/athomasson2/ebook2audiobook:${DEVICE_TAG:-cpu} + build: + context: . + dockerfile: Dockerfile + args: + APP_VERSION: ${APP_VERSION:-26.7.9} + DEVICE_TAG: ${DEVICE_TAG:-cpu} + # PYTHON_VERSION and DOCKER_DEVICE_STR are the device-critical args: without them + # the Dockerfile falls back to its cu130 / python3.12 defaults. Build via + # ebook2audiobook.command so these are exported into the environment. + PYTHON_VERSION: ${PYTHON_VERSION:-3.12} + DOCKER_DEVICE_STR: ${DOCKER_DEVICE_STR:-} + DOCKER_PROGRAMS_STR: ${DOCKER_PROGRAMS_STR:-curl ffmpeg mediainfo nodejs npm espeak-ng sox tesseract-ocr} + CALIBRE_INSTALLER_URL: ${CALIBRE_INSTALLER_URL:-https://download.calibre-ebook.com/linux-installer.sh} + ISO3_LANG: ${ISO3_LANG:-eng} + INSTALL_RUST: ${INSTALL_RUST:-1} + BUILDAH_FORMAT: docker + working_dir: /app + entrypoint: ["bash", "ebook2audiobook.command", "--script_mode", "full_docker"] + tty: true + stdin_open: true + ports: + - "7860:7860" + security_opt: + - label=disable + volumes: + - ./ebooks:/app/ebooks:rw + - ./audiobooks:/app/audiobooks:rw + - ./models:/app/models:rw + - ./voices:/app/voices:rw + - ./tmp:/app/tmp:rw + restart: unless-stopped + +services: + # --- CPU: no device wiring at all ----------------------------------------- + ebook2audiobook-cpu: + <<: *common + profiles: [cpu] + + # --- NVIDIA discrete (amd64 dGPU, or arm64 SBSA) via CDI ------------------- + # Requires a generated CDI spec on the host: + # sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml + ebook2audiobook-cuda: + <<: *common + profiles: [cuda] + devices: + - nvidia.com/gpu=all + + # --- NVIDIA Jetson / Tegra (arm64 L4T) via CSV runtime -------------------- + # Requires mode = "csv" in /etc/nvidia-container-runtime/config.toml and the + # nvidia runtime registered. On recent JetPack with a generated CDI spec you + # can use --profile cuda instead of this profile. + ebook2audiobook-jetson: + <<: *common + profiles: [jetson] + runtime: nvidia + environment: + NVIDIA_VISIBLE_DEVICES: all + NVIDIA_DRIVER_CAPABILITIES: all + group_add: + - video + + # --- AMD ROCm ------------------------------------------------------------- + ebook2audiobook-rocm: + <<: *common + profiles: [rocm] + devices: + - /dev/kfd + - /dev/dri + group_add: + - video + - render + + # --- Intel XPU (oneAPI / IPEX) -------------------------------------------- + ebook2audiobook-xpu: + <<: *common + profiles: [xpu] + devices: + - /dev/dri + group_add: + - render \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..82b8ca6 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,25 @@ +[build-system] +requires = ["setuptools >= 64"] +build-backend = "setuptools.build_meta" + +[project] +name = "ebook2audiobook" +dynamic = ["version", "dependencies"] +description = "Convert eBooks to audiobooks with chapters and metadata" +authors = [ + { name = "Drew Thomasson" } +] +readme = "README.md" +requires-python = ">3.9,<3.13" +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", +] +scripts = { "ebook2audiobook" = "app:main" } + +[project.urls] +"Homepage" = "https://github.com/DrewThomasson/ebook2audiobook" + +[tool.setuptools.dynamic] +version = {file = "VERSION.txt"} diff --git a/readme/README_ara.md b/readme/README_ara.md new file mode 100644 index 0000000..1115228 --- /dev/null +++ b/readme/README_ara.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +محوّل CPU/GPU من الكتاب الإلكتروني إلى كتاب صوتي مع الفصول والبيانات الوصفية<br/> +باستخدام محركات TTS المتقدمة وغير ذلك الكثير.<br/> +يدعم استنساخ الصوت و1158 لغة! +> [!IMPORTANT] +**هذه الأداة مخصصة للاستخدام فقط مع الكتب الإلكترونية الخالية من DRM والتي تم الحصول عليها بشكل قانوني.** <br> +المؤلفون غير مسؤولين عن أي سوء استخدام لهذا البرنامج أو أي عواقب قانونية تنتج عنه. <br> +استخدم هذه الأداة بمسؤولية وبما يتوافق مع جميع القوانين المعمول بها. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### شكرًا لدعمك لمطوّري ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### التشغيل محليًا + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### التشغيل عن بُعد +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### الواجهة الرسومية (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>انقر لرؤية صور واجهة الويب الرسومية</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## عروض توضيحية + +**عرض توضيحي للصوت الافتراضي الجديد** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>المزيد من العروض التوضيحية</summary> + +**صوت ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**صوت يوم ممطر** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**صوت سكارليت** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**صوت ديفيد أتينبورو** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**مثال** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## جدول المحتويات +- [ebook2audiobook](#-ebook2audiobook) +- [الميزات](#features) +- [الواجهة الرسومية](#gui-interface) +- [عروض توضيحية](#demos) +- [اللغات المدعومة](#supported-languages) +- [الحد الأدنى من المتطلبات](#hardware-requirements) +- [الاستخدام](#instructions) + - [التشغيل محليًا](#instructions) + - [تشغيل واجهة الويب Gradio](#instructions) + - [الاستخدام الأساسي بدون واجهة](#basic-usage) + - [استخدام نموذج XTTS مخصص بدون واجهة](#example-of-custom-model-zip-upload) + - [مخرجات أمر المساعدة](#help-command-output) + - [التشغيل عن بُعد](#run-remotely) + - [Docker](#docker) + - [خطوات التشغيل](#docker) + +- [Cloned Voices](#cloned-voices) +- [نماذج TTS المضبوطة بدقة](#fine-tuned-tts-models) + - [مجموعة نماذج TTS المضبوطة بدقة](#fine-tuned-tts-collection) + - [تدريب XTTSv2](#fine-tune-your-own-xttsv2-model) +- [صيغ الكتب الإلكترونية المدعومة](#supported-ebook-formats) +- [صيغ الإخراج](#output-and-process-formats) +- [العودة إلى إصدار أقدم](#reverting-to-older-versions) +- [المشكلات الشائعة](#common-issues) +- [شكر خاص](#special-thanks) +- [جدول المحتويات](#table-of-contents) + + +## الميزات +- 🔧 **محركات TTS المدعومة**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **تحويل صيغ ملفات متعددة**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **منطقة نص** لتحويل نص قصير مباشرةً إلى صوت +- 🔍 **مسح OCR** للملفات التي تحتوي على صفحات نصية كصور +- 🔊 **تحويل نص إلى كلام عالي الجودة**، من شبه الوقت الفعلي إلى صوت شبه حقيقي +- 🗣️ **استنساخ صوت اختياري** باستخدام ملف صوتك الخاص +- 🌐 **يدعم 1158 لغة** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **صديق للموارد المنخفضة** — يعمل على **2 GB RAM / 1 GB VRAM (الحد الأدنى)** +- 🎵 **صيغ إخراج الكتاب الصوتي**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **وسوم SML مدعومة** — تحكم دقيق في الفواصل والتوقفات وتبديل الصوت والمزيد ([see below](#sml-tags-available)) +- 🧩 **نموذج مخصص اختياري** باستخدام نموذجك المدرّب الخاص (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **نماذج مُعدّة مسبقًا ومضبوطة بدقة** دُرّبت بواسطة فريق E2A<br/> + <i>(تواصل معنا إذا كنت بحاجة إلى نماذج إضافية مضبوطة بدقة، أو إذا كنت ترغب في مشاركة نماذجك في قائمة الإعدادات المسبقة الرسمية)</i> + + +## متطلبات العتاد +- 2 جيجابايت RAM كحد أدنى، 8 جيجابايت موصى به. +- 1 جيجابايت VRAM كحد أدنى، 4 جيجابايت موصى به. +- المحاكاة الافتراضية مُفعّلة عند التشغيل على windows (Docker فقط). +- CPU، XPU (intel، AMD، ARM)*. +- CUDA، ROCm، JETSON +- MPS (معالج Apple Silicon) + +*<i> محركات TTS الحديثة بطيئة جدًا على CPU، لذا استخدم TTS أقل جودة مثل YourTTS وTacotron2 وما إلى ذلك.</i> + +## اللغات المدعومة +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 لغة ولهجة هنا**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## صيغ الكتب الإلكترونية المدعومة +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **أفضل النتائج**: `.epub` أو `.mobi` للكشف التلقائي عن الفصول + +## صيغ الإخراج والمعالجة +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- يمكن تغيير صيغة المعالجة في lib/conf.py + +## وسوم SML المتاحة +- `[break]` — صمت (نطاق عشوائي **0.3–0.6 sec.**) +- `[pause]` — صمت (نطاق عشوائي **1.0–1.6 sec.**) +- `[pause:N]` — توقف ثابت (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — تبديل الصوت من الصوت الافتراضي أو المحدد من GUI/CLI + +**اطّلع على مستودعنا الآخر المخصص لإضافة SML تلقائيًا في كتابك الإلكتروني -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**قبل نشر مشكلة تثبيت أو خطأ، ابحث بعناية في علامة تبويب المشكلات المفتوحة والمغلقة<br> +للتأكد من أن مشكلتك غير موجودة بالفعل.** + +>[!NOTE] +**تفتقر صيغة EPUB إلى أي بنية معيارية لما هو الفصل أو الفقرة أو المقدمة وما إلى ذلك.<br> +لذا يجب عليك أولًا أن تزيل يدويًا أي نص لا ترغب في تحويله إلى صوت.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ثبّت / شغّل ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **مشغّل Mac** + انقر نقرًا مزدوجًا على `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>ملاحظة لمستخدمي Windows: يتم تثبيت scoop لتثبيت البرامج المفقودة دون امتيازات المسؤول.</i> + +1. **افتح تطبيق الويب**: انقر على الرابط المتوفر في الطرفية للوصول إلى تطبيق الويب وتحويل الكتب الإلكترونية. `http://localhost:7860/` +2. **للحصول على رابط عام**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**إذا تم إيقاف السكربت وتشغيله مرة أخرى، فستحتاج إلى تحديث واجهة Gradio الرسومية<br> +للسماح لصفحة الويب بإعادة الاتصال بمقبس الاتصال الجديد.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: مسار ملف كتابك الإلكتروني + - **[--voice]**: مسار ملف استنساخ الصوت (اختياري) + - **[--language]**: رمز اللغة بصيغة ISO-639-3 (أي: ita للإيطالية، eng للإنجليزية، deu للألمانية...).<br> + اللغة الافتراضية هي eng و--language اختياري للغة الافتراضية المحددة في ./lib/lang.py.<br> + كما يتم دعم رموز ISO-639-1 المكونة من حرفين. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: مسار ملف `model_name.zip`، + الذي يجب أن يحتوي (وفقًا لمحرك tts) على جميع الملفات الإلزامية<br> + (انظر ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +ملاحظة: في وضع gradio/gui، لإلغاء تحويل قيد التشغيل، ما عليك سوى النقر على [X] في مكوّن رفع الكتاب الإلكتروني. +نصيحة: إذا كانت هناك حاجة إلى توقف أطول قليلًا، أضف '[pause:3]' لمدة 3 ثوانٍ وما إلى ذلك. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## أصوات مستنسخة +يمكنك تحميل أي صوت بأي من تنسيقات الصوت المدعومة، والمدة المثالية حوالي 1 إلى 5 دقائق. +لا يهم ما إذا كان التسجيل يحتوي على خلفية صاخبة أو موسيقى تعزف عليه — ستقوم E2A بتنظيف الصوت نيابة عنك. + +قائمة الأصوات المستنسخة المدمجة باللغة الإنجليزية بشكل أساسي. إذا كنت بحاجة إلى أصوات بلغات أخرى لتكون رسمية +تمت إضافته إلى القائمة، يرجى الاتصال بنا وسنضيفه بعد المراجعة. + +## نماذج TTS المضبوطة بدقة (fine-tuned) +#### اضبط نموذج XTTSv2 الخاص بك بدقة + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### إزالة الضوضاء من بيانات التدريب + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### مجموعة نماذج TTS المضبوطة بدقة + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +بالنسبة إلى نموذج XTTSv2 المخصص، يكون مقطع صوتي مرجعي للصوت إلزاميًا: + +## تخصيصك الخاص لـ Ebook2Audiobook +أنت حر في تعديل libs/conf.py لإضافة أو إزالة الإعدادات التي تريدها. إذا كنت تخطط للقيام بذلك، فما عليك سوى إنشاء +نسخة من conf.py الأصلي بحيث يمكنك في كل تحديث لـ ebook2audiobook عمل نسخة احتياطية من conf.py المعدّل وإعادة +وضع الأصلي. يجب عليك التخطيط للعملية نفسها بالنسبة لـ models.py. إذا كنت ترغب في جعل نموذجك المخصص +نموذج ebook2audiobook رسميًا مضبوطًا بدقة، فيرجى الاتصال بنا وسنضيفه إلى قائمة الإعدادات المسبقة. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## المشكلات الشائعة: +- لا يتم اكتشاف بطاقة NVIDIA/ROCm/XPU/MPS الرسومية لدي؟؟ -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- المعالج بطيء (أفضل على معالج خادم SMP) بينما يمكن لبطاقة GPU إجراء تحويل شبه فوري. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (لكنه لا يحتوي على استنساخ صوت zero-shot، وهي أصوات بجودة Siri، لكنه أسرع بكثير على cpu). +- "أواجه مشكلات في التبعيات" - ما عليك سوى استخدام docker، فهو مكتفٍ ذاتيًا تمامًا وله وضع بدون واجهة، + أضف المعامل `--help` في نهاية أمر docker run للمزيد من المعلومات. +- "أواجه مشكلة في انقطاع الصوت!" - يرجى إنشاء ISSUE حول هذا، + نحن لا نتحدث كل لغة ونحتاج إلى نصيحة من المستخدمين لضبط منطق تقسيم الجمل بدقة.😊 + +## ***** خارطة الطريق ***** +- جميع الميزات مفتوحة للمساهمات العامة ⭐ +- أي مساعدة من أشخاص يتحدثون أيًا من اللغات المدعومة لمساعدتنا في تحسين النماذج ⭐ +- [x] معاينة الكتل/الفصول قبل بدء التحويل +- [ ] التحرير لكل جملة محوّلة لتغيير نصي دقيق +- [x] دمج وسوم SML للصوت والتوقف والفاصل والمزيد من التغييرات +- [x] معلومات معاملات -h -help بلغات مختلفة +- [x] مسح OCR لملفات PDF / JPG / BMP / PNG / TIFF +- [x] مجلد Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] جعل تقسيم النص الصيني لا يقسم الكلمات وتحسين توقيت الفواصل [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] دفتر Kaggle +- [x] دفتر Google Colab +- [ ] دمج Audiobookshelf +- [ ] [إنشاء تطبيق iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [إنشاء تطبيق android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### خيارات إضافية +- [x] خيار ترجمة الكتاب الإلكتروني +- [x] خيارات صيغة الإخراج +- [x] مجلد كتب إلكترونية دفعي +- [x] تحويل متعدد المعالجة +- [x] تحويل مجلد كتب إلكترونية دفعي +- [x] اكتشاف جهاز GPU +- [x] إزالة الضوضاء من أي صوت مرجعي لرفع استنساخ الصوت، +- [x] رفع نموذج مخصص (XTTSv2 فقط حاليًا. المزيد عند الطلب) +- [ ] إضافة نموذج لغة البرتغالية الأوروبية على الأقل لـ xttsv2 وfairseq وvits وpiper (المساعدة مرحب بها) +- [ ] إضافة نموذج لغة السندية على الأقل لـ xttsv2 وfairseq وvits وpiper (المساعدة مرحب بها) + +#### محركات TTS +- [x] XTTSv2 +- [x] ﺡﺎﺒﻧ +- [x] فيرسيك +- [x] فيتس +- [x] تاكوترون 2 +- [x] YourTTS +- [x] لون السلحفاة +- [x] GlowTTS +- [x] الفلفل الأسود +- [ ] GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] كلام السمكة (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5 - TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark - TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index - tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro - TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] زونوس (https://github.com/Zyphra/Zonos) +- [ ] Style - TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus - TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### ترجمة Readme +- [x] العربية (ARA) +- [x] الصينية (zho) +- [x] English (eng) +- [x] الإسبانية (SPA) +- [x] الفرنسية (فرنك فرنسي) +- [x] الألمانية (deu) +- [x] Italian (ita) +- [x] Portuguese (POR) +- [x] Polish (pol) +- [x] Turkish (tur) +- [x] Russian (rus) +- [x] الهولندية (nld) +- [x] التشيكية +- [x] Japanese (jpn) +- [x] الهندية (hin) +- [x] البنغالية (بن) +- [x] الهنغارية (HUN) +- [x] Korean (kor) +- [x] الفيتنامية (VIE) +- [x] Swedish (swe) +- [x] الفارسية (فاس) +- [x] Yoruba (yor) +- [x] السواحلية (SWA) +- [x] الإندونيسية (الهند) +- [x] السلوفاكية (slk) +- [x] الكرواتية (hrv) + +#### 🐍 توافق نظام التشغيل +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## مبالغة إضافية لتدريب النماذج وما شابه (جميع نماذج Coqui-tts المدعومة وpiper-tts في أمر واحد سهل) +- للمعلومات حول هذا @DrewThomasson، يعمل حاليًا على تطويره، [المستودع قيد العمل هنا](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] إنشاء واجهة تدريب سهلة الاستخدام لجميع نماذج coqui-tts في وصفات التدريب بصيغة ljspeech [هنا من coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## معلومات تسوية كود Python للمساهمين +- لا سطر فارغ بين الكود، باستثناء بين الدوال والفئات. +- تُستخدم علامات الاقتباس المفردة لجميع المفاتيح باستثناء dict() وjson. يتم استدعاء dict['key'] دائمًا بعلامات اقتباس مفردة +- مسافة بادئة من 4 مسافات، دون أي علامات جدولة على الإطلاق +- كتابة صارمة للأنواع لجميع الدوال وإعلان وسائطها وقيم إرجاعها +- لا مسافة بين الوسيط وكتابة نوعه، لا مسافة بين الدالة و"->" وقيمة الإرجاع + +مثال: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## مطلوب تبرع بالعتاد لاختبارات بيتا +نقبل أي نوع من العتاد لاختبار تطويرنا مثل: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson إذا كنت ترغب في المساعدة بأي شكل من الأشكال! 😃 +<!-- +## هل تحتاج إلى استئجار GPU لتعزيز خدمتنا؟ +- استطلاع رأي مفتوح هنا https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## شكر خاص +إلى جميع المساهمين الماليين والرمزيين، تساعد كل مساهمة واقتراح على تحسين جودة E2A. \ No newline at end of file diff --git a/readme/README_ben.md b/readme/README_ben.md new file mode 100644 index 0000000..89cc00d --- /dev/null +++ b/readme/README_ben.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +অধ্যায় ও মেটাডেটা সহ ই-বুক থেকে অডিওবুকে রূপান্তরকারী CPU/GPU কনভার্টার<br/> +উন্নত TTS ইঞ্জিন ইত্যাদি ব্যবহার করে।<br/> +ভয়েস ক্লোনিং এবং ১১৫৮টি ভাষা সমর্থন করে! +> [!IMPORTANT] +**এই টুলটি কেবল DRM-মুক্ত, বৈধভাবে অর্জিত ই-বুকের সাথে ব্যবহারের জন্য তৈরি করা হয়েছে।** <br> +লেখকগণ এই সফটওয়্যারের কোনো অপব্যবহার বা তা থেকে উদ্ভূত কোনো আইনি পরিণতির জন্য দায়ী নন। <br> +এই টুলটি দায়িত্বের সাথে এবং সমস্ত প্রযোজ্য আইন মেনে ব্যবহার করুন। + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ebook2audiobook-এর ডেভেলপারদের সমর্থন করার জন্য ধন্যবাদ! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### স্থানীয়ভাবে চালান + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### দূরবর্তীভাবে চালান +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### গ্রাফিকাল ইন্টারফেস (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>ওয়েব GUI-এর ছবি দেখতে ক্লিক করুন</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## ডেমো + +**নতুন ডিফল্ট ভয়েসের ডেমো** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>আরও ডেমো</summary> + +**ASMR ভয়েস** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**বৃষ্টির দিনের ভয়েস** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**স্কারলেট ভয়েস** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**ডেভিড অ্যাটেনবরো ভয়েস** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**উদাহরণ** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## সূচিপত্র +- [ebook2audiobook](#-ebook2audiobook) +- [বৈশিষ্ট্য](#features) +- [গ্রাফিকাল ইন্টারফেস](#gui-interface) +- [ডেমো](#demos) +- [সমর্থিত ভাষা](#supported-languages) +- [ন্যূনতম প্রয়োজনীয়তা](#hardware-requirements) +- [ব্যবহার](#instructions) + - [স্থানীয়ভাবে চালান](#instructions) + - [Gradio ওয়েব ইন্টারফেস চালু করা](#instructions) + - [মৌলিক Headless ব্যবহার](#basic-usage) + - [Headless কাস্টম XTTS মডেল ব্যবহার](#example-of-custom-model-zip-upload) + - [সহায়তা কমান্ড আউটপুট](#help-command-output) + - [দূরবর্তীভাবে চালান](#run-remotely) + - [ডকার](#docker) + - [চালানোর ধাপ](#docker) + +- [ক্লোনড ভয়েসেস](#cloned-voices) +- [ফাইন-টিউন করা TTS মডেল](#fine-tuned-tts-models) + - [ফাইন-টিউন করা TTS মডেলের সংগ্রহ](#fine-tuned-tts-collection) + - [XTTSv2 প্রশিক্ষণ](#fine-tune-your-own-xttsv2-model) +- [সমর্থিত ই-বুক ফরম্যাট](#supported-ebook-formats) +- [আউটপুট ফরম্যাট](#output-and-process-formats) +- [পুরনো সংস্করণে ফিরে যাওয়া](#reverting-to-older-versions) +- [সাধারণ সমস্যা](#common-issues) +- [বিশেষ ধন্যবাদ](#special-thanks) +- [সূচিপত্র](#table-of-contents) + + +## বৈশিষ্ট্য +- 🔧 **সমর্থিত TTS ইঞ্জিন**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **একাধিক ফাইল ফরম্যাট রূপান্তর করুন**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 সংক্ষিপ্ত টেক্সট সরাসরি অডিওতে রূপান্তর করার জন্য **টেক্সট এরিয়া** +- 🔍 ছবি হিসেবে টেক্সট পৃষ্ঠা সহ ফাইলের জন্য **OCR স্ক্যানিং** +- 🔊 **উচ্চমানের টেক্সট-টু-স্পিচ**, প্রায় রিয়েল-টাইম থেকে প্রায় বাস্তব ভয়েস পর্যন্ত +- 🗣️ আপনার নিজের ভয়েস ফাইল ব্যবহার করে **ঐচ্ছিক ভয়েস ক্লোনিং** +- 🌐 **১১৫৮টি ভাষা সমর্থন করে** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **কম সম্পদ-বান্ধব** — **2 GB RAM / 1 GB VRAM (ন্যূনতম)**-এ চলে +- 🎵 **অডিওবুক আউটপুট ফরম্যাট**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML ট্যাগ সমর্থিত** — বিরতি, থামা, ভয়েস পরিবর্তন ইত্যাদির সূক্ষ্ম নিয়ন্ত্রণ ([see below](#sml-tags-available)) +- 🧩 আপনার নিজের প্রশিক্ষিত মডেল ব্যবহার করে **ঐচ্ছিক কাস্টম মডেল** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ E2A টিম দ্বারা প্রশিক্ষিত **ফাইন-টিউন করা প্রিসেট মডেল**<br/> + <i>(আপনার অতিরিক্ত ফাইন-টিউন করা মডেলের প্রয়োজন হলে, অথবা অফিসিয়াল প্রিসেট তালিকায় আপনার মডেল শেয়ার করতে চাইলে আমাদের সাথে যোগাযোগ করুন)</i> + + +## হার্ডওয়্যার প্রয়োজনীয়তা +- RAM ন্যূনতম 2GB, 8GB প্রস্তাবিত। +- VRAM ন্যূনতম 1GB, 4GB প্রস্তাবিত। +- windows-এ চালানোর সময় ভার্চুয়ালাইজেশন সক্ষম (শুধুমাত্র Docker)। +- CPU, XPU (intel, AMD, ARM)*। +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +*<i> আধুনিক TTS ইঞ্জিন CPU-তে খুব ধীর, তাই YourTTS, Tacotron2 ইত্যাদির মতো নিম্নমানের TTS ব্যবহার করুন।</i> + +## সমর্থিত ভাষা +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+১১৩০টি ভাষা ও উপভাষা এখানে**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## সমর্থিত ই-বুক ফরম্যাট +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **সেরা ফলাফল**: স্বয়ংক্রিয় অধ্যায় শনাক্তকরণের জন্য `.epub` বা `.mobi` + +## আউটপুট ও প্রক্রিয়াকরণ ফরম্যাট +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- প্রক্রিয়াকরণ ফরম্যাট lib/conf.py-তে পরিবর্তন করা যায় + +## উপলব্ধ SML ট্যাগ +- `[break]` — নীরবতা (এলোমেলো পরিসর **0.3–0.6 sec.**) +- `[pause]` — নীরবতা (এলোমেলো পরিসর **1.0–1.6 sec.**) +- `[pause:N]` — নির্দিষ্ট বিরতি (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — ডিফল্ট বা GUI/CLI থেকে নির্বাচিত ভয়েস থেকে ভয়েস পরিবর্তন করুন + +**আপনার ই-বুকে স্বয়ংক্রিয়ভাবে SML যোগ করার জন্য নিবেদিত আমাদের অন্য রেপোটি দেখুন -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**ইনস্টলেশন বা বাগ সমস্যা পোস্ট করার আগে, খোলা ও বন্ধ সমস্যার ট্যাবে সাবধানে অনুসন্ধান করুন<br> +এটা নিশ্চিত করতে যে আপনার সমস্যাটি ইতিমধ্যে নেই।** + +>[!NOTE] +**EPUB ফরম্যাটে অধ্যায়, অনুচ্ছেদ, ভূমিকা ইত্যাদি কী তা সংজ্ঞায়িত করার কোনো মানক কাঠামো নেই।<br> +তাই আপনাকে প্রথমে ম্যানুয়ালি সেই সমস্ত টেক্সট সরিয়ে ফেলতে হবে যা আপনি অডিওতে রূপান্তর করতে চান না।** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook ইনস্টল / চালান**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac লঞ্চার** + `Mac Ebook2Audiobook Launcher.command`-এ ডাবল ক্লিক করুন + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windows ব্যবহারকারীদের জন্য নোট: প্রশাসক অনুমতি ছাড়াই অনুপস্থিত প্রোগ্রাম ইনস্টল করতে scoop ইনস্টল করা হয়।</i> + +1. **ওয়েব অ্যাপ খুলুন**: ওয়েব অ্যাপে প্রবেশ করতে এবং ই-বুক রূপান্তর করতে টার্মিনালে প্রদত্ত URL-এ ক্লিক করুন। `http://localhost:7860/` +2. **পাবলিক লিঙ্কের জন্য**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**যদি স্ক্রিপ্ট বন্ধ করে আবার চালানো হয়, তাহলে আপনাকে আপনার Gradio GUI ইন্টারফেস রিফ্রেশ করতে হবে<br> +যাতে ওয়েব পৃষ্ঠাটি নতুন কানেকশন সকেটে পুনরায় সংযুক্ত হতে পারে।** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: আপনার ই-বুক ফাইলের পথ + - **[--voice]**: ভয়েস ক্লোনিং ফাইল পথ (ঐচ্ছিক) + - **[--language]**: ISO-639-3-তে ভাষা কোড (অর্থাৎ: ইতালীয়র জন্য ita, ইংরেজির জন্য eng, জার্মানের জন্য deu...)।<br> + ডিফল্ট ভাষা হল eng এবং ./lib/lang.py-তে সেট করা ডিফল্ট ভাষার জন্য --language ঐচ্ছিক।<br> + ২ অক্ষরের ISO-639-1 কোডও সমর্থিত। + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: `model_name.zip` ফাইলের পথ, + যাতে (tts ইঞ্জিন অনুযায়ী) সমস্ত বাধ্যতামূলক ফাইল থাকতে হবে<br> + (দেখুন ./lib/models.py)। + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +নোট: gradio/gui মোডে, চলমান রূপান্তর বাতিল করতে, কেবল ই-বুক আপলোড উপাদানের [X]-এ ক্লিক করুন। +টিপ: যদি একটু বেশি বিরতির প্রয়োজন হয়, তাহলে ৩ সেকেন্ডের জন্য '[pause:3]' যোগ করুন ইত্যাদি। + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## ক্লোনড ভয়েসেস +আপনি সমর্থিত যে কোনও অডিও ফর্ম্যাটে যে কোনও ভয়েস অডিও আপলোড করতে পারেন, আদর্শ সময়কাল প্রায় 1 থেকে 5 মিলিয়ন । +রেকর্ডিংয়ে শোরগোলের পটভূমি বা মিউজিক বাজছে কিনা তা বিবেচ্য নয় — E2A আপনার জন্য ভয়েস পরিষ্কার করবে । + +বিল্ট-ইন ক্লোনড ভয়েস লিস্ট মূলত ইংরেজিতে । আপনার যদি অন্য ভাষায় কণ্ঠের প্রয়োজন হয় তবে আনুষ্ঠানিকভাবে +তালিকায় যোগ করা হয়েছে, অনুগ্রহ করে আমাদের সাথে যোগাযোগ করুন এবং পর্যালোচনার পরে আমরা সেগুলি যোগ করব । + +## ফাইন-টিউন করা (fine-tuned) TTS মডেল +#### আপনার নিজের XTTSv2 মডেল ফাইন-টিউন করুন + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### প্রশিক্ষণ ডেটার শব্দ অপসারণ + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### ফাইন-টিউন করা TTS মডেলের সংগ্রহ + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +কাস্টম XTTSv2 মডেলের জন্য, ভয়েসের একটি রেফারেন্স অডিও ক্লিপ বাধ্যতামূলক: + +## আপনার নিজের Ebook2Audiobook কাস্টমাইজেশন +আপনি যে সেটিংস চান তা যোগ বা অপসারণ করতে libs/conf.py অবাধে পরিবর্তন করতে পারেন। আপনি যদি এটি করার পরিকল্পনা করেন, তাহলে কেবল +মূল conf.py-এর একটি কপি তৈরি করুন যাতে প্রতিটি ebook2audiobook আপডেটে আপনি আপনার পরিবর্তিত conf.py ব্যাকআপ করতে এবং মূলটি +ফিরিয়ে রাখতে পারেন। আপনাকে models.py-এর জন্যও একই প্রক্রিয়া পরিকল্পনা করতে হবে। আপনি যদি আপনার নিজের কাস্টম মডেলকে +একটি অফিসিয়াল ফাইন-টিউন করা ebook2audiobook মডেল বানাতে চান, তাহলে অনুগ্রহ করে আমাদের সাথে যোগাযোগ করুন এবং আমরা এটি প্রিসেট তালিকায় যোগ করব। + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## সাধারণ সমস্যা: +- আমার NVIDIA/ROCm/XPU/MPS GPU শনাক্ত হচ্ছে না?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU ধীর (সার্ভার smp CPU-তে ভালো) যখন GPU প্রায় রিয়েল-টাইম রূপান্তর করতে পারে। + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (তবে এতে zero-shot ভয়েস ক্লোনিং নেই, এবং এগুলি Siri মানের ভয়েস, কিন্তু cpu-তে অনেক দ্রুত)। +- "আমার নির্ভরতা সংক্রান্ত সমস্যা হচ্ছে" - কেবল docker ব্যবহার করুন, এটি সম্পূর্ণ স্বয়ংসম্পূর্ণ এবং এর headless মোড আছে, + আরও তথ্যের জন্য docker run কমান্ডের শেষে `--help` প্যারামিটার যোগ করুন। +- "আমার কাটা অডিওর সমস্যা হচ্ছে!" - অনুগ্রহ করে এই বিষয়ে একটি ISSUE তৈরি করুন, + আমরা প্রতিটি ভাষা বলি না এবং বাক্য বিভাজন যুক্তি ফাইন-টিউন করতে ব্যবহারকারীদের পরামর্শ প্রয়োজন।😊 + +## ***** রোডম্যাপ ***** +- সমস্ত বৈশিষ্ট্য সর্বজনীন অবদানের জন্য উন্মুক্ত ⭐ +- মডেল উন্নত করতে আমাদের সাহায্য করার জন্য যেকোনো সমর্থিত ভাষায় কথা বলা লোকদের কাছ থেকে যেকোনো সাহায্য ⭐ +- [x] রূপান্তর শুরু করার আগে ব্লক/অধ্যায় প্রিভিউ +- [ ] সূক্ষ্ম টেক্সট পরিবর্তনের জন্য রূপান্তরিত বাক্য অনুযায়ী সম্পাদনা +- [x] ভয়েস, বিরতি, থামা এবং আরও পরিবর্তনের জন্য SML ট্যাগ ইন্টিগ্রেশন +- [x] বিভিন্ন ভাষায় -h -help প্যারামিটার তথ্য +- [x] PDF / JPG / BMP / PNG / TIFF-এর জন্য OCR স্ক্যানিং +- [x] Notebooks ফোল্ডার [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] চীনা টেক্সট বিভাজন যাতে শব্দ ভাগ না করে তা নিশ্চিত করা এবং বিরতির সময় উন্নত করা [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf ইন্টিগ্রেশন +- [ ] [একটি iOS অ্যাপ তৈরি করা](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [একটি android অ্যাপ তৈরি করা](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### অতিরিক্ত বিকল্প +- [x] ই-বুক অনুবাদ বিকল্প +- [x] আউটপুট ফরম্যাট পছন্দ +- [x] ব্যাচ ই-বুক ফোল্ডার +- [x] মাল্টিপ্রসেসিং রূপান্তর +- [x] ব্যাচ ই-বুক ফোল্ডার রূপান্তর +- [x] GPU ডিভাইস শনাক্তকরণ +- [x] আপলোড করা ভয়েস ক্লোনিংয়ের জন্য যেকোনো রেফারেন্স অডিওর শব্দ অপসারণ, +- [x] কাস্টম মডেল আপলোড (আপাতত শুধু XTTSv2। চাহিদা অনুযায়ী আরও) +- [ ] অন্তত xttsv2, fairseq, vits, piper-এর জন্য ইউরোপীয় পর্তুগিজ ভাষা মডেল যোগ করা (সাহায্য স্বাগত) +- [ ] অন্তত xttsv2, fairseq, vits, piper-এর জন্য সিন্ধি ভাষা মডেল যোগ করা (সাহায্য স্বাগত) + +#### TTS ইঞ্জিন +- [x] XTTSv2 +- [x] বাকল +- [x] ফেয়ারসিক +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] কচ্ছপ +- [x] GlowTTS +- [x] পাইপার +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] ফিশ-স্পিচ (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] চ্যাটারবক্স (https://github.com/resemble-ai/chatterbox) +- [ ] সুপারটোনিক (https://github.com/supertone-inc/supertonic) +- [ ] স্পার্ক-টিটিএস (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] কোকোরো-টিটিএস (https://github.com/hexgrad/kokoro) +- [ ] ওমনিভয়েস (https://github.com/k2-fsa/OmniVoice) +- [ ] জোনোস (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] অর্ফিয়াস-টিটিএস (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme অনুবাদ +- [x] আরবি (ara) +- [x] চীনা (zho) +- [x] English (eng) +- [x] স্প্যানিশ (SPA) +- [x] ফ্রেঞ্চ (FRA) +- [x] জার্মান (deu) +- [x] ইতালীয় (ita) +- [x] পর্তুগীজ (por) +- [x] পোলিশ (পোল) +- [x] তুর্কি (tur) +- [x] রাশিয়ান (rus) +- [x] ডাচ (এনএলডি) +- [x] চেক (সিইএস) +- [x] জাপানি (jpn) +- [x] হিন্দি (hin) +- [x] বাংলা (ben) +- [x] হাঙ্গেরিয়ান (হান) +- [x] কোরিয়ান (কোর) +- [x] ভিয়েতনামী (vie) +- [x] সুইডিশ (SWE) +- [x] ফার্সি (FAS) +- [x] Yoruba (yor) +- [x] সোয়াহিলি (সোয়া) +- [x] ইন্দোনেশীয় (ind) +- [x] স্লোভাক (slk) +- [x] ক্রোয়েশীয় (hrv) + +#### 🐍 OS সামঞ্জস্যতা +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## মডেল প্রশিক্ষণ ইত্যাদির জন্য অতিরিক্ত ওভারকিল (সমস্ত সমর্থিত Coqui-tts মডেল এবং piper-tts একটি সহজ কমান্ডে) +- এই সম্পর্কে তথ্যের জন্য @DrewThomasson, তিনি বর্তমানে এর উন্নয়নে কাজ করছেন, [কার্য-চলমান রেপো এখানে](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ljspeech ফরম্যাট প্রশিক্ষণ রেসিপিতে সমস্ত coqui-tts মডেলের জন্য একটি সহজ-ব্যবহারযোগ্য প্রশিক্ষণ gui তৈরি করুন [coqui tts থেকে এখানে](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## অবদানকারীদের জন্য Python কোড স্বাভাবিকীকরণ তথ্য +- ফাংশন এবং ক্লাসের মধ্যে ছাড়া, কোডের মধ্যে কোনো খালি লাইন নেই। +- dict() এবং json ছাড়া সমস্ত কী-এর জন্য একক উদ্ধৃতি ব্যবহৃত হয়। dict['key'] সর্বদা একক উদ্ধৃতি দিয়ে কল করা হয় +- ৪ স্পেস ইন্ডেন্টেশন, একদমই কোনো ট্যাব নয় +- সমস্ত ফাংশন এবং তাদের আর্গুমেন্ট ও রিটার্ন মান ঘোষণার জন্য কঠোর টাইপিং +- আর্গুমেন্ট এবং তার টাইপিংয়ের মধ্যে কোনো স্পেস নেই, ফাংশন, "->" এবং রিটার্ন মানের মধ্যে কোনো স্পেস নেই + +উদাহরণ: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## বিটা পরীক্ষার জন্য হার্ডওয়্যার দান খোঁজা হচ্ছে +আমরা আমাদের উন্নয়ন পরীক্ষা করার জন্য যেকোনো ধরনের হার্ডওয়্যার গ্রহণ করি যেমন: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson আপনি যদি যেকোনো উপায়ে সাহায্য করতে চান! 😃 +<!-- +## আমাদের পরিষেবা বাড়াতে আপনার কি একটি GPU ভাড়া নেওয়ার প্রয়োজন? +- এখানে একটি জরিপ খোলা আছে https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## বিশেষ ধন্যবাদ +সমস্ত আর্থিক এবং কোড অবদানকারীদের জন্য, প্রতিটি অবদান এবং পরামর্শ E2A এর গুণমান উন্নত করতে সহায়তা করে । \ No newline at end of file diff --git a/readme/README_ces.md b/readme/README_ces.md new file mode 100644 index 0000000..c36df5d --- /dev/null +++ b/readme/README_ces.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU převodník z e-knihy na audioknihu s kapitolami a metadaty<br/> +s využitím pokročilých TTS enginů a mnoha dalšího.<br/> +Podporuje klonování hlasu a 1158 jazyků! +> [!IMPORTANT] +**Tento nástroj je určen pouze pro použití s e-knihami bez DRM, získanými legálně.** <br> +Autoři nenesou odpovědnost za jakékoli zneužití tohoto softwaru ani za případné právní následky. <br> +Používejte tento nástroj zodpovědně a v souladu se všemi platnými zákony. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Děkujeme za podporu vývojářů ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Spuštění lokálně + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Spuštění vzdáleně +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafické rozhraní (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Klikněte pro zobrazení obrázků webového GUI</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Ukázky + +**Ukázka nového výchozího hlasu** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Více ukázek</summary> + +**Hlas ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Hlas deštivého dne** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Hlas Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Hlas Davida Attenborougha** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Příklad** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Obsah +- [ebook2audiobook](#-ebook2audiobook) +- [Funkce](#features) +- [Grafické rozhraní](#gui-interface) +- [Ukázky](#demos) +- [Podporované jazyky](#supported-languages) +- [Minimální požadavky](#hardware-requirements) +- [Použití](#instructions) + - [Spuštění lokálně](#instructions) + - [Spuštění webového rozhraní Gradio](#instructions) + - [Základní použití v režimu headless](#basic-usage) + - [Použití vlastního modelu XTTS v režimu headless](#example-of-custom-model-zip-upload) + - [Výstup příkazu nápovědy](#help-command-output) + - [Spuštění vzdáleně](#run-remotely) + - [Dokovací stanice](#docker) + - [Kroky ke spuštění](#docker) + +- [Klonované hlasy](#cloned-voices) +- [Doladěné TTS modely](#fine-tuned-tts-models) + - [Kolekce doladěných TTS modelů](#fine-tuned-tts-collection) + - [Trénování XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Podporované formáty e-knih](#supported-ebook-formats) +- [Výstupní formáty](#output-and-process-formats) +- [Návrat ke starší verzi](#reverting-to-older-versions) +- [Časté problémy](#common-issues) +- [Zvláštní poděkování](#special-thanks) +- [Obsah](#table-of-contents) + + +## Funkce +- 🔧 **Podporované TTS enginy**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Převod více formátů souborů**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Textové pole** pro přímý převod krátkého textu na zvuk +- 🔍 **OCR skenování** pro soubory s textovými stránkami ve formě obrázků +- 🔊 **Vysoce kvalitní převod textu na řeč**, od téměř reálného času po téměř skutečný hlas +- 🗣️ **Volitelné klonování hlasu** pomocí vlastního hlasového souboru +- 🌐 **Podporuje 1158 jazyků** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Vhodné pro omezené zdroje** — běží na **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Výstupní formáty audioknihy**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Podpora SML tagů** — jemné ovládání přerušení, pauz, přepínání hlasu a dalšího ([see below](#sml-tags-available)) +- 🧩 **Volitelný vlastní model** pomocí vašeho vlastního natrénovaného modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Doladěné přednastavené modely** natrénované týmem E2A<br/> + <i>(Kontaktujte nás, pokud potřebujete další doladěné modely, nebo pokud chcete sdílet ty své v oficiálním seznamu předvoleb)</i> + + +## Hardwarové požadavky +- 2 GB RAM min., 8 GB doporučeno. +- 1 GB VRAM min., 4 GB doporučeno. +- Povolená virtualizace při spuštění ve Windows (pouze Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Moderní TTS enginy jsou na CPU velmi pomalé, používejte tedy TTS nižší kvality jako YourTTS, Tacotron2 atd.</i> + +## Podporované jazyky +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 jazyků a dialektů zde**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Podporované formáty e-knih +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Nejlepší výsledky**: `.epub` nebo `.mobi` pro automatickou detekci kapitol + +## Formáty výstupu a zpracování +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Formát zpracování lze změnit v lib/conf.py + +## Dostupné SML tagy +- `[break]` — ticho (náhodný rozsah **0.3–0.6 sec.**) +- `[pause]` — ticho (náhodný rozsah **1.0–1.6 sec.**) +- `[pause:N]` — pevná pauza (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — přepnutí hlasu z výchozího nebo vybraného hlasu z GUI/CLI + +**Podívejte se na náš další repozitář věnovaný automatickému přidávání SML do vaší e-knihy -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Než nahlásíte problém s instalací nebo chybu, pečlivě prohledejte záložku otevřených a uzavřených issues<br> +abyste se ujistili, že váš problém ještě neexistuje.** + +>[!NOTE] +**Formát EPUB postrádá jakoukoli standardní strukturu definující, co je kapitola, odstavec, předmluva atd.<br> +Proto byste měli nejprve ručně odstranit veškerý text, který nechcete převádět na zvuk.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Nainstalujte / Spusťte ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Spouštěč pro Mac** + Dvakrát klikněte na `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Poznámka pro uživatele Windows: pro instalaci chybějících programů bez administrátorských oprávnění se instaluje scoop.</i> + +1. **Otevřete webovou aplikaci**: Klikněte na adresu URL uvedenou v terminálu pro přístup k webové aplikaci a převod e-knih. `http://localhost:7860/` +2. **Pro veřejný odkaz**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Pokud je skript zastaven a znovu spuštěn, musíte obnovit své grafické rozhraní Gradio<br> +aby se webová stránka mohla znovu připojit k novému připojovacímu socketu.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Cesta k souboru vaší e-knihy + - **[--voice]**: Cesta k souboru pro klonování hlasu (volitelné) + - **[--language]**: Kód jazyka v ISO-639-3 (např.: ita pro italštinu, eng pro angličtinu, deu pro němčinu...).<br> + Výchozí jazyk je eng a --language je volitelný pro výchozí jazyk nastavený v ./lib/lang.py.<br> + Podporovány jsou také dvoupísmenné kódy ISO-639-1. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Cesta k souboru `model_name.zip`, + který musí obsahovat (podle TTS enginu) všechny povinné soubory<br> + (viz ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +POZNÁMKA: v režimu gradio/gui zrušíte probíhající převod jednoduše kliknutím na [X] v komponentě pro nahrání e-knihy. +TIP: pokud je potřeba o něco delší pauza, přidejte '[pause:3]' pro 3 s atd. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klonované hlasy +Můžete nahrát libovolný hlasový zvuk v kterémkoli z podporovaných zvukových formátů, ideální doba trvání je přibližně 1 až 5 milionů. +Nezáleží na tom, jestli má nahrávka hlučné pozadí nebo přehrává hudbu — E2A vám hlas vyčistí. + +Vestavěný seznam klonovaných hlasů je převážně v angličtině. Pokud potřebujete, aby hlasy v jiných jazycích byly oficiálně +přidáno do seznamu, kontaktujte nás a po kontrole je přidáme. + +## Doladěné (fine-tuned) TTS modely +#### Dolaďte svůj vlastní model XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Odšumění tréninkových dat + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Kolekce doladěných TTS modelů + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Pro vlastní model XTTSv2 je povinný referenční zvukový klip hlasu: + +## Vaše vlastní úprava Ebook2Audiobook +Můžete libovolně upravovat libs/conf.py a přidávat či odebírat nastavení, která chcete. Pokud to plánujete, jednoduše si udělejte +kopii původního conf.py, abyste při každé aktualizaci ebook2audiobook mohli zazálohovat svůj upravený conf.py a vrátit +původní. Stejný postup musíte naplánovat i pro models.py. Pokud chcete ze svého vlastního modelu +udělat oficiální doladěný model ebook2audiobook, kontaktujte nás a my jej přidáme do seznamu předvoleb. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Časté problémy: +- Moje GPU NVIDIA/ROCm/XPU/MPS není detekováno?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU je pomalé (lepší na serverovém SMP CPU), zatímco GPU může mít téměř převod v reálném čase. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Nemá však klonování hlasu zero-shot a hlasy jsou kvality Siri, ale na CPU je mnohem rychlejší). +- „Mám problémy se závislostmi“ - Použijte prostě Docker, je zcela samostatný a má režim headless, + pro více informací přidejte na konec příkazu docker run parametr `--help`. +- „Mám problém s oříznutým zvukem!“ - PROSÍM, NAHLASTE TO JAKO ISSUE, + nemluvíme každým jazykem a potřebujeme rady uživatelů, abychom doladili logiku dělení vět.😊 + +## ***** PLÁN ROZVOJE ***** +- Všechny funkce otevřené veřejným příspěvkům ⭐ +- Jakákoli pomoc od lidí mluvících některým z podporovaných jazyků, aby nám pomohli vylepšit modely ⭐ +- [x] Náhled bloků/kapitol před zahájením převodu +- [ ] Úprava po převedené větě pro chirurgickou změnu textu +- [x] Integrace SML tagů pro hlas, pauzu, přerušení a další změny +- [x] Informace o parametrech -h -help v různých jazycích +- [x] OCR skenování pro PDF / JPG / BMP / PNG / TIFF +- [x] Složka notebooků [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Zajistit, aby dělení čínského textu nerozdělovalo slova, a zlepšit načasování pauz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integrace s Audiobookshelf +- [ ] [Vytvořit aplikaci pro iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Vytvořit aplikaci pro Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Další možnosti +- [x] Možnost překladu e-knihy +- [x] Možnosti výstupního formátu +- [x] Dávková složka e-knih +- [x] Převod s multiprocessingem +- [x] Dávkový převod složky e-knih +- [x] Detekce zařízení GPU +- [x] Odšumění libovolného referenčního zvuku pro nahrané klonování hlasu, +- [x] Nahrání vlastního modelu (zatím pouze XTTSv2. více na vyžádání) +- [ ] Přidat jazykový model evropské portugalštiny alespoň pro xttsv2, fairseq, vits, piper (pomoc vítána) +- [ ] Přidat jazykový model sindhštiny alespoň pro xttsv2, fairseq, vits, piper (pomoc vítána) + +#### Motory TTS +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Želvovití +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SOVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Styl-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Překlad souboru Readme +- [x] Arabština (ara) +- [x] Čínština (zho) +- [x] English (eng) +- [x] Španělština (Spa) +- [x] Francouzština (fra) +- [x] Němčina (deu) +- [x] Italština (ita) +- [x] Portugalština (por) +- [x] Polština (pol) +- [x] Turečtina (tur) +- [x] Ruština (rus) +- [x] Holandština (nld) +- [x] Czech (ces) +- [x] Japonština (jpn) +- [x] Hindština (hin) +- [x] Bengálština (ben) +- [x] Maďarština (Hun) +- [x] Korejština (kor) +- [x] Vietnamština (vie) +- [x] Švédština (swe) +- [x] Perština (fas) +- [x] Yoruba (yor) +- [x] Svahilština (swa) +- [x] Indonéština (ind) +- [x] Slovenština (slk) +- [x] Chorvatština (hrv) + +#### 🐍 Kompatibilita operačních systémů +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra nadstandard pro trénování modelů a podobně (všechny podporované modely Coqui-tts a piper-tts v jednom snadném příkazu) +- Pro informace o tomto: @DrewThomasson na tom v současné době pracuje, [repozitář ve vývoji zde](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Vytvořit snadno použitelné tréninkové GUI pro všechny modely coqui-tts v tréninkových receptech ve formátu ljspeech [zde od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informace o normalizaci kódu Python pro přispěvatele +- žádný prázdný řádek mezi kódem, kromě mezi funkcemi a třídami. +- jednoduché uvozovky použité pro všechny klíče kromě dict() a json. dict['key'] vždy volán s jednoduchými uvozovkami +- odsazení 4 mezery, vůbec žádné tabulátory +- striktní typování pro všechny funkce a deklaraci jejich argumentů a návratových hodnot +- žádná mezera mezi argumentem a jeho typováním, žádná mezera mezi funkcí, „->“ a návratovou hodnotou + +Příklad: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hledáme darování hardwaru pro beta testy +Přijímáme jakýkoli druh hardwaru pro testování našeho vývoje, jako například: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson, pokud chcete jakkoli pomoci! 😃 +<!-- +## Potřebujete pronajmout GPU pro posílení naší služby? +- Anketa je otevřena zde https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Zvláštní poděkování +Pro všechny finanční a kódové přispěvatele každý příspěvek a návrh pomáhá zlepšit kvalitu E2A. \ No newline at end of file diff --git a/readme/README_deu.md b/readme/README_deu.md new file mode 100644 index 0000000..29a298c --- /dev/null +++ b/readme/README_deu.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU-Konverter von E-Book zu Hörbuch mit Kapiteln und Metadaten<br/> +unter Verwendung fortschrittlicher TTS-Engines und vielem mehr.<br/> +Unterstützt Stimmenklonen und 1158 Sprachen! +> [!IMPORTANT] +**Dieses Tool ist ausschließlich für die Verwendung mit DRM-freien, legal erworbenen E-Books bestimmt.** <br> +Die Autoren übernehmen keine Verantwortung für jeglichen Missbrauch dieser Software oder daraus resultierende rechtliche Folgen. <br> +Verwenden Sie dieses Tool verantwortungsvoll und in Übereinstimmung mit allen geltenden Gesetzen. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Danke, dass Sie die Entwickler von ebook2audiobook unterstützen! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Lokal ausführen + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Remote ausführen +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### GUI-Oberfläche +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Zum Anzeigen von Bildern der Web-GUI klicken</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demos + +**Demo der neuen Standardstimme** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Weitere Demos</summary> + +**ASMR-Stimme** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Regentag-Stimme** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett-Stimme** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David-Attenborough-Stimme** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Beispiel** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Inhaltsverzeichnis +- [ebook2audiobook](#-ebook2audiobook) +- [Funktionen](#features) +- [GUI-Oberfläche](#gui-interface) +- [Demos](#demos) +- [Unterstützte Sprachen](#supported-languages) +- [Mindestanforderungen](#hardware-requirements) +- [Verwendung](#instructions) + - [Lokal ausführen](#instructions) + - [Gradio-Web-Oberfläche starten](#instructions) + - [Grundlegende Headless-Verwendung](#basic-usage) + - [Headless-Verwendung eines benutzerdefinierten XTTS-Modells](#example-of-custom-model-zip-upload) + - [Ausgabe des Hilfebefehls](#help-command-output) + - [Remote ausführen](#run-remotely) + - [Docker](#docker) + - [Schritte zur Ausführung](#docker) + +- [Geklonte Stimmen](#cloned-voices) +- [Feinabgestimmte TTS-Modelle](#fine-tuned-tts-models) + - [Sammlung feinabgestimmter TTS-Modelle](#fine-tuned-tts-collection) + - [XTTSv2 trainieren](#fine-tune-your-own-xttsv2-model) +- [Unterstützte E-Book-Formate](#supported-ebook-formats) +- [Ausgabeformate](#output-and-process-formats) +- [Zu einer älteren Version zurückkehren](#reverting-to-older-versions) +- [Häufige Probleme](#common-issues) +- [Besonderer Dank](#special-thanks) +- [Inhaltsverzeichnis](#table-of-contents) + + +## Funktionen +- 🔧 **Unterstützte TTS-Engines**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Mehrere Dateiformate konvertieren**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Textbereich** zum direkten Umwandeln eines kurzen Texts in Audio +- 🔍 **OCR-Erkennung** für Dateien mit Textseiten als Bilder +- 🔊 **Hochwertige Sprachausgabe**, von nahezu Echtzeit bis zu nahezu echter Stimme +- 🗣️ **Optionales Stimmenklonen** mit Ihrer eigenen Sprachdatei +- 🌐 **Unterstützt 1158 Sprachen** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Ressourcenschonend** — läuft mit **2 GB RAM / 1 GB VRAM (Minimum)** +- 🎵 **Hörbuch-Ausgabeformate**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML-Tags unterstützt** — feingranulare Steuerung von Unterbrechungen, Pausen, Stimmwechsel und mehr ([see below](#sml-tags-available)) +- 🧩 **Optionales benutzerdefiniertes Modell** mit Ihrem eigenen trainierten Modell (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Feinabgestimmte Preset-Modelle**, trainiert vom E2A-Team<br/> + <i>(Kontaktieren Sie uns, wenn Sie zusätzliche feinabgestimmte Modelle benötigen oder Ihre eigenen zur offiziellen Preset-Liste beitragen möchten)</i> + + +## Hardware-Anforderungen +- 2 GB RAM min., 8 GB empfohlen. +- 1 GB VRAM min., 4 GB empfohlen. +- Virtualisierung aktiviert, falls unter Windows ausgeführt (nur Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple-Silicon-CPU) + +*<i> Moderne TTS-Engines sind auf der CPU sehr langsam, verwenden Sie daher TTS geringerer Qualität wie YourTTS, Tacotron2 usw.</i> + +## Unterstützte Sprachen +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 Sprachen und Dialekte hier**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Unterstützte E-Book-Formate +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Beste Ergebnisse**: `.epub` oder `.mobi` für die automatische Kapitelerkennung + +## Ausgabe- und Verarbeitungsformate +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Das Verarbeitungsformat kann in lib/conf.py geändert werden + +## Verfügbare SML-Tags +- `[break]` — Stille (zufälliger Bereich **0.3–0.6 sec.**) +- `[pause]` — Stille (zufälliger Bereich **1.0–1.6 sec.**) +- `[pause:N]` — feste Pause (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — Stimme von der Standard- oder in der GUI/CLI ausgewählten Stimme wechseln + +**Sehen Sie sich unser anderes Repo an, das dem automatischen Hinzufügen von SML in Ihrem E-Book gewidmet ist -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Bevor Sie ein Installations- oder Fehlerproblem melden, durchsuchen Sie sorgfältig den Tab mit offenen und geschlossenen Issues<br> +um sicherzustellen, dass Ihr Problem nicht bereits existiert.** + +>[!NOTE] +**Dem EPUB-Format fehlt jegliche Standardstruktur, die festlegt, was ein Kapitel, ein Absatz, ein Vorwort usw. ist.<br> +Daher sollten Sie zunächst manuell jeglichen Text entfernen, den Sie nicht in Audio umwandeln möchten.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook installieren / ausführen**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac-Launcher** + Doppelklicken Sie auf `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Hinweis für Windows-Nutzer: scoop wird installiert, um fehlende Programme ohne Administratorrechte zu installieren.</i> + +1. **Web-App öffnen**: Klicken Sie auf die im Terminal angegebene URL, um auf die Web-App zuzugreifen und E-Books zu konvertieren. `http://localhost:7860/` +2. **Für einen öffentlichen Link**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Wenn das Skript gestoppt und erneut ausgeführt wird, müssen Sie Ihre Gradio-GUI-Oberfläche aktualisieren<br> +damit sich die Webseite mit dem neuen Verbindungs-Socket verbinden kann.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Pfad zu Ihrer E-Book-Datei + - **[--voice]**: Pfad zur Datei für das Stimmenklonen (optional) + - **[--language]**: Sprachcode in ISO-639-3 (d. h.: ita für Italienisch, eng für Englisch, deu für Deutsch...).<br> + Die Standardsprache ist eng und --language ist optional für die in ./lib/lang.py festgelegte Standardsprache.<br> + Die zweistelligen ISO-639-1-Codes werden ebenfalls unterstützt. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Pfad zur Datei `model_name.zip`, + die (je nach TTS-Engine) alle erforderlichen Dateien enthalten muss<br> + (siehe ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +HINWEIS: Um im gradio/gui-Modus eine laufende Konvertierung abzubrechen, klicken Sie einfach auf das [X] der E-Book-Upload-Komponente. +TIPP: Wenn etwas mehr Pause nötig ist, fügen Sie '[pause:3]' für 3 Sek. usw. hinzu. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Geklonte Stimmen +Sie können jedes Sprachaudio in jedem der unterstützten Audioformate hochladen. Die ideale Dauer beträgt etwa 1 bis 5 Minuten. +Es spielt keine Rolle, ob die Aufnahme einen lauten Hintergrund hat oder Musik darüber abgespielt wird — E2A wird die Stimme für Sie aufräumen. + +Die eingebaute Liste der geklonten Stimmen ist hauptsächlich auf Englisch. Wenn Sie Stimmen in anderen Sprachen benötigen, um offiziell +der Liste hinzugefügt, kontaktieren Sie uns bitte und wir werden sie nach der Überprüfung hinzufügen. + +## Feinabgestimmte (fine-tuned) TTS-Modelle +#### Stimmen Sie Ihr eigenes XTTSv2-Modell fein ab + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Trainingsdaten entrauschen + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Sammlung feinabgestimmter TTS-Modelle + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Für ein benutzerdefiniertes XTTSv2-Modell ist ein Referenz-Audioclip der Stimme zwingend erforderlich: + +## Ihre eigene Ebook2Audiobook-Anpassung +Es steht Ihnen frei, libs/conf.py zu ändern, um die gewünschten Einstellungen hinzuzufügen oder zu entfernen. Falls Sie dies vorhaben, erstellen Sie einfach +eine Kopie der ursprünglichen conf.py, damit Sie bei jedem ebook2audiobook-Update Ihre geänderte conf.py sichern und +die Originaldatei wiederherstellen können. Sie müssen denselben Vorgang für models.py einplanen. Wenn Sie Ihr eigenes benutzerdefiniertes Modell +zu einem offiziellen, feinabgestimmten ebook2audiobook-Modell machen möchten, kontaktieren Sie uns bitte, und wir fügen es der Preset-Liste hinzu. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Häufige Probleme: +- Meine NVIDIA-/ROCm-/XPU-/MPS-GPU wird nicht erkannt?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- Die CPU ist langsam (besser auf einer Server-SMP-CPU), während die GPU eine nahezu Echtzeit-Konvertierung erreichen kann. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Es hat allerdings kein Zero-Shot-Stimmenklonen und bietet Stimmen in Siri-Qualität, ist aber auf der CPU deutlich schneller). +- „Ich habe Abhängigkeitsprobleme“ - Verwenden Sie einfach Docker, es ist vollständig eigenständig und hat einen Headless-Modus, + fügen Sie für weitere Informationen den Parameter `--help` am Ende des docker-run-Befehls hinzu. +- „Ich habe ein Problem mit abgeschnittenem Audio!“ - BITTE ERSTELLEN SIE DAZU EIN ISSUE, + wir sprechen nicht jede Sprache und benötigen den Rat der Nutzer, um die Logik der Satztrennung zu verfeinern.😊 + +## ***** ROADMAP ***** +- Alle Funktionen offen für öffentliche Beiträge ⭐ +- Jede Hilfe von Personen, die eine der unterstützten Sprachen sprechen, um uns bei der Verbesserung der Modelle zu helfen ⭐ +- [x] Blöcke/Kapitel vor dem Start der Konvertierung in der Vorschau anzeigen +- [ ] Bearbeitung nach konvertiertem Satz für chirurgisch genaue Textänderungen +- [x] SML-Tag-Integration für Stimme, Pause, Unterbrechung und weitere Änderungen +- [x] Informationen zu den Parametern -h -help in verschiedenen Sprachen +- [x] OCR-Erkennung für PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks-Ordner [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Die chinesische Textaufteilung so gestalten, dass keine Wörter getrennt werden, und das Pausen-Timing verbessern [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle-Notebook +- [x] Google-Colab-Notebook +- [ ] Audiobookshelf-Integration +- [ ] [Eine iOS-App erstellen](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Eine Android-App erstellen](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Zusätzliche Optionen +- [x] Option zur E-Book-Übersetzung +- [x] Auswahl des Ausgabeformats +- [x] Stapelverarbeitung eines E-Book-Ordners +- [x] Konvertierung mit Multiprocessing +- [x] Stapelkonvertierung eines E-Book-Ordners +- [x] GPU-Geräteerkennung +- [x] Beliebiges Referenz-Audio für das Stimmenklonen beim Upload entrauschen, +- [x] Upload eines benutzerdefinierten Modells (vorerst nur XTTSv2. mehr auf Anfrage) +- [ ] Ein europäisch-portugiesisches Sprachmodell für mindestens xttsv2, fairseq, vits, piper hinzufügen (Hilfe willkommen) +- [ ] Ein Sindhi-Sprachmodell für mindestens xttsv2, fairseq, vits, piper hinzufügen (Hilfe willkommen) + +#### TTS-Motoren +- [x] XTTSv2 +- [x] Rinde +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Türkis +- [x] GlowTTS +- [x] Pfeffer +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fischsprache (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme-Übersetzung +- [x] Arabisch (ara) +- [x] Chinesisch (zho) +- [x] English (eng) +- [x] Spanisch (Spa) +- [x] Französisch (fra) +- [x] Deutsch (deu) +- [x] Italienisch (ita) +- [x] Portugiesisch (por) +- [x] Polnisch (pol) +- [x] Türkisch (tur) +- [x] Russisch (rus) +- [x] Niederländisch (nld) +- [x] Tschechisch (ces) +- [x] Japanisch (jpn) +- [x] Hindi (hin) +- [x] Bengalisch (ben) +- [x] Ungarisch (hun) +- [x] Koreanisch (kor) +- [x] Vietnamesisch (Vie) +- [x] Schwedisch (swe) +- [x] Persisch (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesisch (ind) +- [x] Slowakisch (slk) +- [x] Kroatisch (hrv) + +#### 🐍 Betriebssystem-Kompatibilität +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra-Overkill für das Trainieren von Modellen und Ähnliches (alle unterstützten Coqui-tts-Modelle und piper-tts in einem einzigen einfachen Befehl) +- Für Informationen dazu: @DrewThomasson arbeitet derzeit an der Entwicklung, [Work-in-Progress-Repo hier](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Eine einfach zu bedienende Trainings-GUI für alle coqui-tts-Modelle im ljspeech-Format erstellen [Trainingsrezepte hier von coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informationen zur Python-Code-Normalisierung für Mitwirkende +- keine Leerzeile zwischen dem Code, außer zwischen Funktionen und Klassen. +- einfaches Anführungszeichen für alle Schlüssel, außer bei dict() und json. dict['key'] wird immer mit einfachem Anführungszeichen aufgerufen +- 4 Leerzeichen Einrückung, überhaupt kein Tab +- strikte Typisierung für alle Funktionen sowie die Deklaration ihrer Argumente und Rückgabewerte +- kein Leerzeichen zwischen dem Argument und seiner Typisierung, kein Leerzeichen zwischen der Funktion, dem „->“ und dem Rückgabewert + +Beispiel: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardware-Spende für Beta-Tests gesucht +Wir nehmen jede Art von Hardware an, um unsere Entwicklung zu testen, wie zum Beispiel: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson, falls Sie auf irgendeine Weise mithelfen möchten! 😃 +<!-- +## Müssen Sie eine GPU mieten, um unseren Service zu beschleunigen? +- Eine Umfrage ist hier offen https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Besonderer Dank +Für alle Finanz- und Code-Mitwirkenden trägt jeder Beitrag und Vorschlag dazu bei, die Qualität von E2A zu verbessern. \ No newline at end of file diff --git a/readme/README_fas.md b/readme/README_fas.md new file mode 100644 index 0000000..164e3aa --- /dev/null +++ b/readme/README_fas.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +مبدل CPU/GPU از کتاب الکترونیکی به کتاب صوتی همراه با فصل‌ها و فراداده<br/> +با استفاده از موتورهای پیشرفته TTS و موارد دیگر.<br/> +از شبیه‌سازی صدا و ۱۱۵۸ زبان پشتیبانی می‌کند! +> [!IMPORTANT] +**این ابزار تنها برای استفاده با کتاب‌های الکترونیکی فاقد DRM که به‌صورت قانونی به دست آمده‌اند، در نظر گرفته شده است.** <br> +نویسندگان مسئول هیچ‌گونه سوءاستفاده از این نرم‌افزار یا هرگونه پیامد قانونی ناشی از آن نیستند. <br> +از این ابزار مسئولانه و در چارچوب تمام قوانین قابل اجرا استفاده کنید. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### از پشتیبانی شما از توسعه‌دهندگان ebook2audiobook سپاسگزاریم! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### اجرای محلی + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### اجرای از راه دور +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### رابط گرافیکی (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>برای دیدن تصاویر رابط گرافیکی وب کلیک کنید</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## نمونه‌ها + +**نمونه صدای پیش‌فرض جدید** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>نمونه‌های بیشتر</summary> + +**صدای ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**صدای روز بارانی** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**صدای اسکارلت** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**صدای دیوید اتنبرو** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**نمونه** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## فهرست مطالب +- [ebook2audiobook](#-ebook2audiobook) +- [ویژگی‌ها](#features) +- [رابط گرافیکی](#gui-interface) +- [نمونه‌ها](#demos) +- [زبان‌های پشتیبانی‌شده](#supported-languages) +- [حداقل نیازمندی‌ها](#hardware-requirements) +- [استفاده](#instructions) + - [اجرای محلی](#instructions) + - [راه‌اندازی رابط وب Gradio](#instructions) + - [استفاده پایه بدون رابط](#basic-usage) + - [استفاده از مدل سفارشی XTTS بدون رابط](#example-of-custom-model-zip-upload) + - [خروجی دستور راهنما](#help-command-output) + - [اجرای از راه دور](#run-remotely) + - [Docker](#docker) + - [مراحل اجرا](#docker) + +- [صداهای کلون شده](#cloned-voices)] +- [مدل‌های TTS تنظیم‌دقیق‌شده](#fine-tuned-tts-models) + - [مجموعه مدل‌های TTS تنظیم‌دقیق‌شده](#fine-tuned-tts-collection) + - [آموزش XTTSv2](#fine-tune-your-own-xttsv2-model) +- [قالب‌های کتاب الکترونیکی پشتیبانی‌شده](#supported-ebook-formats) +- [قالب‌های خروجی](#output-and-process-formats) +- [بازگشت به نسخه قدیمی‌تر](#reverting-to-older-versions) +- [مشکلات رایج](#common-issues) +- [تشکر ویژه](#special-thanks) +- [فهرست مطالب](#table-of-contents) + + +## ویژگی‌ها +- 🔧 **موتورهای TTS پشتیبانی‌شده**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **تبدیل چندین قالب فایل**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **ناحیه متن** برای تبدیل مستقیم یک متن کوتاه به صدا +- 🔍 **اسکن OCR** برای فایل‌هایی با صفحات متنی به‌صورت تصویر +- 🔊 **تبدیل متن به گفتار باکیفیت**، از تقریباً بلادرنگ تا صدایی تقریباً واقعی +- 🗣️ **شبیه‌سازی صدای اختیاری** با استفاده از فایل صوتی خودتان +- 🌐 **از ۱۱۵۸ زبان پشتیبانی می‌کند** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **سازگار با منابع کم** — روی **2 GB RAM / 1 GB VRAM (حداقل)** اجرا می‌شود +- 🎵 **قالب‌های خروجی کتاب صوتی**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **برچسب‌های SML پشتیبانی می‌شوند** — کنترل دقیق وقفه‌ها، مکث‌ها، تعویض صدا و موارد بیشتر ([see below](#sml-tags-available)) +- 🧩 **مدل سفارشی اختیاری** با استفاده از مدل آموزش‌دیده خودتان (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **مدل‌های پیش‌تنظیم تنظیم‌دقیق‌شده** که توسط تیم E2A آموزش دیده‌اند<br/> + <i>(اگر به مدل‌های تنظیم‌دقیق‌شده بیشتری نیاز دارید، یا اگر می‌خواهید مدل‌های خود را در فهرست پیش‌تنظیم رسمی به اشتراک بگذارید، با ما تماس بگیرید)</i> + + +## نیازمندی‌های سخت‌افزاری +- ۲ گیگابایت RAM حداقل، ۸ گیگابایت توصیه‌شده. +- ۱ گیگابایت VRAM حداقل، ۴ گیگابایت توصیه‌شده. +- مجازی‌سازی هنگام اجرا روی windows فعال باشد (فقط Docker). +- CPU، XPU (intel، AMD، ARM)*. +- CUDA، ROCm، JETSON +- MPS (پردازنده Apple Silicon) + +*<i> موتورهای مدرن TTS روی CPU بسیار کند هستند، بنابراین از TTS با کیفیت پایین‌تر مانند YourTTS، Tacotron2 و غیره استفاده کنید.</i> + +## زبان‌های پشتیبانی‌شده +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+۱۱۳۰ زبان و گویش در اینجا**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## قالب‌های کتاب الکترونیکی پشتیبانی‌شده +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **بهترین نتایج**: `.epub` یا `.mobi` برای تشخیص خودکار فصل‌ها + +## قالب‌های خروجی و پردازش +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- قالب پردازش را می‌توان در lib/conf.py تغییر داد + +## برچسب‌های SML موجود +- `[break]` — سکوت (بازه تصادفی **0.3–0.6 sec.**) +- `[pause]` — سکوت (بازه تصادفی **1.0–1.6 sec.**) +- `[pause:N]` — مکث ثابت (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — تعویض صدا از صدای پیش‌فرض یا انتخاب‌شده از GUI/CLI + +**مخزن دیگر ما را که به افزودن خودکار SML در کتاب الکترونیکی شما اختصاص دارد، بررسی کنید -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**پیش از ارسال مشکل نصب یا باگ، با دقت در زبانه مسائل باز و بسته جستجو کنید<br> +تا مطمئن شوید مشکل شما از قبل وجود ندارد.** + +>[!NOTE] +**قالب EPUB فاقد هرگونه ساختار استاندارد برای تعریف اینکه فصل، پاراگراف، مقدمه و غیره چیست، می‌باشد.<br> +بنابراین ابتدا باید هر متنی را که نمی‌خواهید به صدا تبدیل شود، به‌صورت دستی حذف کنید.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook را نصب / اجرا کنید**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **راه‌انداز Mac** + روی `Mac Ebook2Audiobook Launcher.command` دوبار کلیک کنید + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>توجه برای کاربران Windows: scoop برای نصب برنامه‌های ناموجود بدون امتیازات مدیر نصب می‌شود.</i> + +1. **برنامه وب را باز کنید**: برای دسترسی به برنامه وب و تبدیل کتاب‌های الکترونیکی، روی URL ارائه‌شده در ترمینال کلیک کنید. `http://localhost:7860/` +2. **برای پیوند عمومی**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**اگر اسکریپت متوقف و دوباره اجرا شود، باید رابط گرافیکی Gradio خود را تازه‌سازی کنید<br> +تا صفحه وب بتواند دوباره به سوکت اتصال جدید متصل شود.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: مسیر فایل کتاب الکترونیکی شما + - **[--voice]**: مسیر فایل شبیه‌سازی صدا (اختیاری) + - **[--language]**: کد زبان به‌صورت ISO-639-3 (یعنی: ita برای ایتالیایی، eng برای انگلیسی، deu برای آلمانی...).<br> + زبان پیش‌فرض eng است و --language برای زبان پیش‌فرض تنظیم‌شده در ./lib/lang.py اختیاری است.<br> + کدهای دوحرفی ISO-639-1 نیز پشتیبانی می‌شوند. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: مسیر فایل `model_name.zip`، + که باید (بسته به موتور tts) شامل تمام فایل‌های اجباری باشد<br> + (به ./lib/models.py مراجعه کنید). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +توجه: در حالت gradio/gui، برای لغو یک تبدیل در حال اجرا، کافی است روی [X] مؤلفه بارگذاری کتاب الکترونیکی کلیک کنید. +نکته: اگر به مکث کمی بیشتر نیاز است، برای ۳ ثانیه '[pause:3]' و غیره را اضافه کنید. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## صداهای کلون‌شده +شما می‌توانید هر فایل صوتی را با هر یک از فرمت‌های صوتی پشتیبانی‌شده آپلود کنید، مدت زمان ایده‌آل حدود ۱ تا ۵ دقیقه است. +فرقی نمی‌کند که صدای ضبط شده نویز پس‌زمینه داشته باشد یا موسیقی در حال پخش باشد - E2A صدا را برای شما واضح‌تر می‌کند. + +لیست صداهای کلون شده داخلی عمدتاً به زبان انگلیسی است. اگر به صداهایی به زبان‌های دیگر نیاز دارید تا رسماً ... +به لیست اضافه شد، لطفا با ما تماس بگیرید تا پس از بررسی، آنها را اضافه کنیم. + +## مدل‌های TTS تنظیم‌دقیق‌شده (fine-tuned) +#### مدل XTTSv2 خود را تنظیم دقیق کنید + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### حذف نویز از داده‌های آموزشی + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### مجموعه مدل‌های TTS تنظیم‌دقیق‌شده + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +برای مدل سفارشی XTTSv2، یک کلیپ صوتی مرجع از صدا اجباری است: + +## سفارشی‌سازی شخصی شما برای Ebook2Audiobook +شما آزادید libs/conf.py را برای افزودن یا حذف تنظیمات دلخواه خود تغییر دهید. اگر قصد این کار را دارید، کافی است یک +نسخه از conf.py اصلی تهیه کنید تا در هر به‌روزرسانی ebook2audiobook بتوانید از conf.py تغییریافته خود نسخه پشتیبان بگیرید و +نسخه اصلی را بازگردانید. باید همین روند را برای models.py نیز برنامه‌ریزی کنید. اگر می‌خواهید مدل سفارشی خود را +به یک مدل رسمی تنظیم‌دقیق‌شده ebook2audiobook تبدیل کنید، لطفاً با ما تماس بگیرید تا آن را به فهرست پیش‌تنظیم‌ها اضافه کنیم. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## مشکلات رایج: +- پردازنده گرافیکی NVIDIA/ROCm/XPU/MPS من شناسایی نمی‌شود؟؟ -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU کند است (روی CPU سرور SMP بهتر است) در حالی که GPU می‌تواند تبدیل تقریباً بلادرنگ داشته باشد. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (با این حال شبیه‌سازی صدای zero-shot ندارد، و صداها با کیفیت Siri هستند، اما روی cpu بسیار سریع‌تر است). +- «مشکلاتی با وابستگی‌ها دارم» - کافی است از docker استفاده کنید، کاملاً مستقل است و حالت بدون رابط دارد، + برای اطلاعات بیشتر پارامتر `--help` را به انتهای دستور docker run اضافه کنید. +- «مشکل قطع شدن صدا دارم!» - لطفاً یک ISSUE در این مورد ایجاد کنید، + ما به همه زبان‌ها صحبت نمی‌کنیم و برای تنظیم دقیق منطق تقسیم جمله به توصیه کاربران نیاز داریم.😊 + +## ***** نقشه راه ***** +- تمام ویژگی‌ها برای مشارکت‌های عمومی باز هستند ⭐ +- هرگونه کمک از افرادی که به یکی از زبان‌های پشتیبانی‌شده صحبت می‌کنند تا به ما در بهبود مدل‌ها کمک کنند ⭐ +- [x] پیش‌نمایش بلوک‌ها/فصل‌ها پیش از شروع تبدیل +- [ ] ویرایش به‌ازای هر جمله تبدیل‌شده برای تغییر دقیق متن +- [x] یکپارچه‌سازی برچسب‌های SML برای صدا، مکث، وقفه و تغییرات بیشتر +- [x] اطلاعات پارامتر -h -help به زبان‌های مختلف +- [x] اسکن OCR برای PDF / JPG / BMP / PNG / TIFF +- [x] پوشه Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] اطمینان از اینکه تقسیم متن چینی کلمات را تقسیم نکند و بهبود زمان‌بندی مکث‌ها [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] دفترچه Kaggle +- [x] دفترچه Google Colab +- [ ] یکپارچه‌سازی Audiobookshelf +- [ ] [ساخت یک اپلیکیشن iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [ساخت یک اپلیکیشن android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### گزینه‌های اضافی +- [x] گزینه ترجمه کتاب الکترونیکی +- [x] انتخاب‌های قالب خروجی +- [x] پوشه دسته‌ای کتاب الکترونیکی +- [x] تبدیل چندپردازشی +- [x] تبدیل دسته‌ای پوشه کتاب الکترونیکی +- [x] تشخیص دستگاه GPU +- [x] حذف نویز از هر صدای مرجع برای بارگذاری شبیه‌سازی صدا، +- [x] بارگذاری مدل سفارشی (فعلاً فقط XTTSv2. موارد بیشتر بنا به درخواست) +- [ ] افزودن مدل زبانی پرتغالی اروپایی حداقل برای xttsv2، fairseq، vits، piper (از کمک استقبال می‌شود) +- [ ] افزودن مدل زبانی سندی حداقل برای xttsv2، fairseq، vits، piper (از کمک استقبال می‌شود) + +#### موتورهای TTS +- [x] XTTSv2 +- [x] پوست درخت +- [x] فِیرسِک +- [x] ویتامین‌ها +- [x] تاکوترون۲ +- [x] تی تی اس شما +- [x] لاک‌پشت زمینی +- [x] گلو تی تی اس +- [x] جنس فلفل سیاه +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] اوپن ویس (https://github.com/myshell-ai/OpenVoice)) +- [ ] گفتار ماهی (https://github.com/fishaudio/fish-speech)) +- [ ] چتTTS (https://github.com/2noise/ChatTTS) +- [ ] صدای دلنشین (https://github.com/FunAudioLLM/CosyVoice)) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] سوپرتونیک (https://github.com/supertone-inc/supertonic)) +- [ ] جرقه-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] شاخص-tts (https://github.com/index-tts/index-tts)) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] اومنی وویس (https://github.com/k2-fsa/OmniVoice)) +- [ ] زونوس (https://github.com/Zyphra/Zonos)) +- [ ] سبک-TTS2 (https://github.com/yl4579/StyleTTS2)) +- [ ] اورفئوس-TTS (https://github.com/canopyai/Orpheus-TTS)) +- [ ] جدید TTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### ترجمه Readme +- [x] عربی (عربی) +- [x] چینی (ژو) +- [x] English (eng) +- [x] اسپانیایی (اسپا) +- [x] فرانسوی (fra) +- [x] آلمانی (deu) +- [x] ایتالیایی (ita) +- [x] پرتغالی (por) +- [x] لهستانی (pol) +- [x] ترکی (تور) +- [x] روسی (روسی) +- [x] هلندی (nld) +- [x] چک (ces) +- [x] ژاپنی (ژاپنی) +- [x] هندی (هین) +- [x] بنگالی (بن) +- [x] مجارستانی (هون) +- [x] کره‌ای (کور) +- [x] ویتنامی (vie) +- [x] سوئدی (swe) +- [x] فارسی (fas) +- [x] یوروبا (یور) +- [x] سواحیلی (swa) +- [x] اندونزیایی (indonesia) +- [x] اسلواکی (slk) +- [x] کرواتی (hrv) + +#### 🐍 سازگاری سیستم‌عامل +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## افراط اضافی برای آموزش مدل‌ها و موارد مشابه (تمام مدل‌های پشتیبانی‌شده Coqui-tts و piper-tts در یک دستور ساده) +- برای اطلاعات در این مورد @DrewThomasson، او در حال حاضر روی توسعه این مورد کار می‌کند، [مخزن در حال انجام در اینجا](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ساخت یک رابط گرافیکی آموزشی آسان برای استفاده برای تمام مدل‌های coqui-tts در دستورالعمل‌های آموزشی قالب ljspeech [اینجا از coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## اطلاعات نرمال‌سازی کد Python برای مشارکت‌کنندگان +- بدون خط خالی بین کد، به‌جز بین توابع و کلاس‌ها. +- از نقل‌قول تکی برای تمام کلیدها به‌جز dict() و json استفاده می‌شود. dict['key'] همیشه با نقل‌قول تکی فراخوانی می‌شود +- تورفتگی ۴ فاصله، بدون هیچ تب +- تایپ‌گذاری سختگیرانه برای تمام توابع و اعلان آرگومان‌ها و مقادیر بازگشتی آن‌ها +- بدون فاصله بین آرگومان و تایپ‌گذاری آن، بدون فاصله بین تابع، «->» و مقدار بازگشتی + +نمونه: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## به اهدای سخت‌افزار برای آزمایش‌های بتا نیازمندیم +ما هر نوع سخت‌افزاری را برای آزمایش توسعه خود می‌پذیریم مانند: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson اگر می‌خواهید به هر شکلی کمک کنید! 😃 +<!-- +## آیا برای تقویت خدمات ما به اجاره یک GPU نیاز دارید؟ +- یک نظرسنجی در اینجا باز است https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## تشکر ویژه +به اطلاع همه مشارکت‌کنندگان مالی و کدنویسی می‌رساند که هر مشارکت و پیشنهادی به بهبود کیفیت E2A کمک می‌کند. \ No newline at end of file diff --git a/readme/README_fra.md b/readme/README_fra.md new file mode 100644 index 0000000..219eb47 --- /dev/null +++ b/readme/README_fra.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Convertisseur CPU/GPU d'e-book en livre audio avec chapitres et métadonnées<br/> +utilisant des moteurs TTS avancés et bien plus encore.<br/> +Prend en charge le clonage de voix et 1158 langues ! +> [!IMPORTANT] +**Cet outil est destiné à être utilisé uniquement avec des e-books sans DRM, acquis légalement.** <br> +Les auteurs ne sont pas responsables d'une quelconque utilisation abusive de ce logiciel ni des conséquences juridiques qui en découleraient. <br> +Utilisez cet outil de manière responsable et dans le respect de toutes les lois applicables. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Merci de soutenir les développeurs d'ebook2audiobook ! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Exécution locale + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Exécution à distance +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Interface graphique (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Cliquez pour voir les images de l'interface web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Démos + +**Démo de la nouvelle voix par défaut** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Plus de démos</summary> + +**Voix ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Voix jour de pluie** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Voix Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Voix David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Exemple** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Table des matières +- [ebook2audiobook](#-ebook2audiobook) +- [Fonctionnalités](#features) +- [Interface graphique](#gui-interface) +- [Démos](#demos) +- [Langues prises en charge](#supported-languages) +- [Configuration minimale requise](#hardware-requirements) +- [Utilisation](#instructions) + - [Exécution locale](#instructions) + - [Lancement de l'interface web Gradio](#instructions) + - [Utilisation de base en mode headless](#basic-usage) + - [Utilisation d'un modèle XTTS personnalisé en mode headless](#example-of-custom-model-zip-upload) + - [Sortie de la commande d'aide](#help-command-output) + - [Exécution à distance](#run-remotely) + - [Docker](#docker) + - [Étapes d'exécution](#docker) + +- [Cloned Voices](#cloned-voices) +- [Modèles TTS affinés](#fine-tuned-tts-models) + - [Collection de modèles TTS affinés](#fine-tuned-tts-collection) + - [Entraîner XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Formats d'e-book pris en charge](#supported-ebook-formats) +- [Formats de sortie](#output-and-process-formats) +- [Revenir à une version antérieure](#reverting-to-older-versions) +- [Problèmes courants](#common-issues) +- [Remerciements particuliers](#special-thanks) +- [Table des matières](#table-of-contents) + + +## Fonctionnalités +- 🔧 **Moteurs TTS pris en charge** : `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convertir plusieurs formats de fichier** : `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Zone de texte** pour convertir directement un texte court en audio +- 🔍 **Reconnaissance OCR** pour les fichiers dont les pages de texte sont des images +- 🔊 **Synthèse vocale de haute qualité**, du quasi temps réel à une voix quasi naturelle +- 🗣️ **Clonage de voix optionnel** à l'aide de votre propre fichier vocal +- 🌐 **Prend en charge 1158 langues** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Adapté aux ressources limitées** — fonctionne avec **2 Go de RAM / 1 Go de VRAM (minimum)** +- 🎵 **Formats de sortie du livre audio** : mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Balises SML prises en charge** — contrôle fin des coupures, pauses, changements de voix et plus encore ([see below](#sml-tags-available)) +- 🧩 **Modèle personnalisé optionnel** utilisant votre propre modèle entraîné (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Modèles préréglés affinés** entraînés par l'équipe E2A<br/> + <i>(Contactez-nous si vous avez besoin de modèles affinés supplémentaires, ou si vous souhaitez partager les vôtres dans la liste officielle des préréglages)</i> + + +## Configuration matérielle requise +- 2 Go de RAM min., 8 Go recommandés. +- 1 Go de VRAM min., 4 Go recommandés. +- Virtualisation activée si l'exécution se fait sous Windows (Docker uniquement). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Les moteurs TTS modernes sont très lents sur CPU, utilisez donc des TTS de moindre qualité comme YourTTS, Tacotron2, etc.</i> + +## Langues prises en charge +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 langues et dialectes ici**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Formats d'e-book pris en charge +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Meilleurs résultats** : `.epub` ou `.mobi` pour la détection automatique des chapitres + +## Formats de sortie et de traitement +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Le format de traitement peut être modifié dans lib/conf.py + +## Balises SML disponibles +- `[break]` — silence (plage aléatoire **0.3–0.6 sec.**) +- `[pause]` — silence (plage aléatoire **1.0–1.6 sec.**) +- `[pause:N]` — pause fixe (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — changer de voix par rapport à la voix par défaut ou sélectionnée depuis l'interface graphique/CLI + +**Consultez notre autre dépôt dédié à l'ajout automatique de SML dans votre e-book -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Avant de publier un problème d'installation ou un bug, recherchez attentivement dans l'onglet des problèmes ouverts et fermés<br> +pour être sûr que votre problème n'existe pas déjà.** + +>[!NOTE] +**Le format EPUB ne possède aucune structure standard définissant ce qu'est un chapitre, un paragraphe, une préface, etc.<br> +Vous devez donc d'abord supprimer manuellement tout texte que vous ne souhaitez pas convertir en audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Installer / Exécuter ebook2audiobook** : + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Lanceur Mac** + Double-cliquez sur `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Note pour les utilisateurs Windows : scoop est installé afin d'installer les programmes manquants sans privilèges administrateur.</i> + +1. **Ouvrir l'application web** : Cliquez sur l'URL fournie dans le terminal pour accéder à l'application web et convertir les e-books. `http://localhost:7860/` +2. **Pour un lien public** : + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Si le script est arrêté puis relancé, vous devez actualiser votre interface graphique Gradio<br> +pour permettre à la page web de se reconnecter au nouveau socket de connexion.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]** : Chemin vers votre fichier e-book + - **[--voice]** : Chemin du fichier de clonage de voix (optionnel) + - **[--language]** : Code de langue au format ISO-639-3 (ex. : ita pour l'italien, eng pour l'anglais, deu pour l'allemand...).<br> + La langue par défaut est eng et --language est optionnel pour la langue par défaut définie dans ./lib/lang.py.<br> + Les codes ISO-639-1 à 2 lettres sont également pris en charge. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>** : Chemin vers le fichier `model_name.zip`, + qui doit contenir (selon le moteur TTS) tous les fichiers obligatoires<br> + (voir ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTE : en mode gradio/gui, pour annuler une conversion en cours, cliquez simplement sur le [X] du composant d'envoi d'e-book. +ASTUCE : s'il faut un peu plus de pause, ajoutez '[pause:3]' pour 3 sec., etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Voix clonées +Vous pouvez télécharger n'importe quel audio vocal dans n'importe lequel des formats audio pris en charge, la durée idéale est d'environ 1 à 5 min. +Peu importe si l'enregistrement a un fond bruyant ou de la musique qui y joue — E2A nettoiera la voix pour vous. + +La liste des voix clonées intégrée est principalement en anglais. Si vous avez besoin de voix dans d'autres langues pour être officiellement +ajouté à la liste, veuillez nous contacter et nous les ajouterons après vérification. + +## Modèles TTS affinés (fine-tuned) +#### Affinez votre propre modèle XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Débruiter les données d'entraînement + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Collection de modèles TTS affinés + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Pour un modèle personnalisé XTTSv2, un extrait audio de référence de la voix est obligatoire : + +## Votre propre personnalisation d'Ebook2Audiobook +Vous êtes libre de modifier libs/conf.py pour ajouter ou supprimer les réglages souhaités. Si vous prévoyez de le faire, faites simplement +une copie du conf.py d'origine afin qu'à chaque mise à jour d'ebook2audiobook vous puissiez sauvegarder votre conf.py modifié et remettre +l'original. Vous devez prévoir le même processus pour models.py. Si vous souhaitez faire de votre propre modèle personnalisé +un modèle affiné officiel d'ebook2audiobook, contactez-nous et nous l'ajouterons à la liste des préréglages. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Problèmes courants : +- Mon GPU NVIDIA/ROCm/XPU/MPS n'est pas détecté ?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- Le CPU est lent (meilleur sur un CPU SMP de serveur) tandis que le GPU permet une conversion quasi en temps réel. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Il n'a cependant pas de clonage de voix zero-shot, et les voix sont de qualité Siri, mais c'est bien plus rapide sur CPU). +- « J'ai des problèmes de dépendances » - Utilisez simplement Docker, il est entièrement autonome et dispose d'un mode headless, + ajoutez le paramètre `--help` à la fin de la commande docker run pour plus d'informations. +- « J'ai un problème d'audio tronqué ! » - VEUILLEZ OUVRIR UN ISSUE À CE SUJET, + nous ne parlons pas toutes les langues et avons besoin des conseils des utilisateurs pour affiner la logique de découpage des phrases.😊 + +## ***** FEUILLE DE ROUTE ***** +- Toutes les fonctionnalités ouvertes aux contributions publiques ⭐ +- Toute aide de personnes parlant l'une des langues prises en charge pour nous aider à améliorer les modèles ⭐ +- [x] Prévisualiser les blocs/chapitres avant de démarrer la conversion +- [ ] Édition par phrase convertie pour une modification chirurgicale du texte +- [x] Intégration des balises SML pour la voix, la pause, la coupure et d'autres changements +- [x] Infos des paramètres -h -help dans différentes langues +- [x] Reconnaissance OCR pour PDF / JPG / BMP / PNG / TIFF +- [x] Dossier de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Faire en sorte que le découpage du texte chinois ne coupe pas les mots et améliorer le timing des pauses [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Intégration Audiobookshelf +- [ ] [Créer une application iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Créer une application Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Options supplémentaires +- [x] Option de traduction de l'e-book +- [x] Choix du format de sortie +- [x] Traitement par lot d'un dossier d'e-books +- [x] Conversion en multitraitement +- [x] Conversion par lot d'un dossier d'e-books +- [x] Détection du périphérique GPU +- [x] Débruiter n'importe quel audio de référence pour le clonage de voix envoyé, +- [x] Envoi de modèle personnalisé (XTTSv2 uniquement pour l'instant. plus sur demande) +- [ ] Ajouter un modèle de langue portugais européen pour xttsv2, fairseq, vits, piper au minimum (aide bienvenue) +- [ ] Ajouter un modèle de langue sindhi pour xttsv2, fairseq, vits, piper au minimum (aide bienvenue) + +#### Moteurs TTS +- [x] XTTSv2 +- [x] Écorce +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Tortue terrestre +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Traduction du Readme +- [x] Arabe (ara) +- [x] Chinois (zho) +- [x] English (eng) +- [x] Espagnol (spa) +- [x] Français (FRA) +- [x] Allemand (deu) +- [x] Italien (ita) +- [x] Portugais (por) +- [x] Polonais (POL) +- [x] Turc (tur) +- [x] Russe (rus) +- [x] Néerlandais (nld) +- [x] Tchèque (ces) +- [x] Japonais (JPN) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Hongrois - HUN +- [x] Coréen (kor) +- [x] Vietnamien (vie) +- [x] Suédois (swe) +- [x] Persan (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonésien (ind) +- [x] Slovaque (slovaque) +- [x] Croate (hrv) + +#### 🐍 Compatibilité des systèmes d'exploitation +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Bonus ultime pour l'entraînement de modèles et plus encore (tous les modèles Coqui-tts pris en charge et piper-tts en une seule commande facile) +- Pour plus d'infos à ce sujet, @DrewThomasson travaille actuellement à son développement, [dépôt en cours de développement ici](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Créer une interface d'entraînement facile à utiliser pour tous les modèles coqui-tts au format ljspeech [recettes d'entraînement de coqui tts ici](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informations de normalisation du code Python pour les contributeurs +- pas de ligne vide entre le code, sauf entre les fonctions et les classes. +- guillemet simple utilisé pour toutes les clés sauf pour dict() et json. dict['key'] toujours appelé avec un guillemet simple +- indentation de 4 espaces, pas de tabulation du tout +- typage strict pour toutes les fonctions ainsi que la déclaration de leurs arguments et valeurs de retour +- pas d'espace entre l'argument et son typage, pas d'espace entre la fonction, le « -> » et la valeur de retour + +Exemple : + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Don de matériel pour les tests bêta recherché +Nous acceptons tout type de matériel pour tester notre développement, comme : +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson si vous voulez aider de quelque manière que ce soit ! 😃 +<!-- +## Avez-vous besoin de louer un GPU pour booster notre service ? +- Un sondage est ouvert ici https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Remerciements particuliers +Pour tous les contributeurs financiers et de code, chaque contribution et suggestion contribue à améliorer la qualité d'E2A. \ No newline at end of file diff --git a/readme/README_hin.md b/readme/README_hin.md new file mode 100644 index 0000000..4787567 --- /dev/null +++ b/readme/README_hin.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +अध्यायों और मेटाडेटा के साथ ई-बुक से ऑडियोबुक में बदलने वाला CPU/GPU कन्वर्टर<br/> +उन्नत TTS इंजनों आदि का उपयोग करते हुए।<br/> +वॉयस क्लोनिंग और 1158 भाषाओं का समर्थन करता है! +> [!IMPORTANT] +**यह टूल केवल DRM-मुक्त, वैध रूप से प्राप्त ई-बुक्स के साथ उपयोग के लिए है।** <br> +लेखक इस सॉफ़्टवेयर के किसी भी दुरुपयोग या उससे उत्पन्न किसी भी कानूनी परिणाम के लिए ज़िम्मेदार नहीं हैं। <br> +इस टूल का उपयोग ज़िम्मेदारी से और सभी लागू कानूनों के अनुपालन में करें। + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ebook2audiobook के डेवलपर्स का समर्थन करने के लिए धन्यवाद! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### स्थानीय रूप से चलाएं + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### दूरस्थ रूप से चलाएं +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### ग्राफ़िकल इंटरफ़ेस (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>वेब GUI की छवियां देखने के लिए क्लिक करें</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## डेमो + +**नई डिफ़ॉल्ट आवाज़ का डेमो** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>और डेमो</summary> + +**ASMR आवाज़** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**बरसात के दिन की आवाज़** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**स्कारलेट आवाज़** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**डेविड एटनबरो आवाज़** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**उदाहरण** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## विषय-सूची +- [ebook2audiobook](#-ebook2audiobook) +- [विशेषताएं](#features) +- [ग्राफ़िकल इंटरफ़ेस](#gui-interface) +- [डेमो](#demos) +- [समर्थित भाषाएं](#supported-languages) +- [न्यूनतम आवश्यकताएं](#hardware-requirements) +- [उपयोग](#instructions) + - [स्थानीय रूप से चलाएं](#instructions) + - [Gradio वेब इंटरफ़ेस लॉन्च करना](#instructions) + - [बुनियादी Headless उपयोग](#basic-usage) + - [Headless कस्टम XTTS मॉडल उपयोग](#example-of-custom-model-zip-upload) + - [सहायता कमांड आउटपुट](#help-command-output) + - [दूरस्थ रूप से चलाएं](#run-remotely) + - [डॉकर](#docker) + - [चलाने के चरण](#docker) + +- [क्लोन की गई आवाज़ें](#cloned-voices) +- [फ़ाइन-ट्यून किए गए TTS मॉडल](#fine-tuned-tts-models) + - [फ़ाइन-ट्यून किए गए TTS मॉडल का संग्रह](#fine-tuned-tts-collection) + - [XTTSv2 का प्रशिक्षण](#fine-tune-your-own-xttsv2-model) +- [समर्थित ई-बुक प्रारूप](#supported-ebook-formats) +- [आउटपुट प्रारूप](#output-and-process-formats) +- [पुराने संस्करण पर वापस लौटना](#reverting-to-older-versions) +- [सामान्य समस्याएं](#common-issues) +- [विशेष धन्यवाद](#special-thanks) +- [विषय-सूची](#table-of-contents) + + +## विशेषताएं +- 🔧 **समर्थित TTS इंजन**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **अनेक फ़ाइल प्रारूप परिवर्तित करें**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 छोटे पाठ को सीधे ऑडियो में बदलने के लिए **पाठ क्षेत्र** +- 🔍 छवियों के रूप में पाठ पृष्ठों वाली फ़ाइलों के लिए **OCR स्कैनिंग** +- 🔊 **उच्च गुणवत्ता वाला टेक्स्ट-टू-स्पीच**, लगभग वास्तविक समय से लेकर लगभग वास्तविक आवाज़ तक +- 🗣️ अपनी स्वयं की आवाज़ फ़ाइल का उपयोग करके **वैकल्पिक वॉयस क्लोनिंग** +- 🌐 **1158 भाषाओं का समर्थन करता है** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **कम संसाधन अनुकूल** — **2 GB RAM / 1 GB VRAM (न्यूनतम)** पर चलता है +- 🎵 **ऑडियोबुक आउटपुट प्रारूप**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML टैग समर्थित** — रुकावटों, विरामों, आवाज़ बदलने आदि पर सूक्ष्म नियंत्रण ([see below](#sml-tags-available)) +- 🧩 अपने स्वयं के प्रशिक्षित मॉडल का उपयोग करके **वैकल्पिक कस्टम मॉडल** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ E2A टीम द्वारा प्रशिक्षित **फ़ाइन-ट्यून किए गए प्रीसेट मॉडल**<br/> + <i>(यदि आपको अतिरिक्त फ़ाइन-ट्यून किए गए मॉडलों की आवश्यकता है, या यदि आप आधिकारिक प्रीसेट सूची में अपने मॉडल साझा करना चाहते हैं, तो हमसे संपर्क करें)</i> + + +## हार्डवेयर आवश्यकताएं +- RAM 2GB न्यूनतम, 8GB अनुशंसित। +- VRAM 1GB न्यूनतम, 4GB अनुशंसित। +- windows पर चलाने पर वर्चुअलाइज़ेशन सक्षम (केवल Docker)। +- CPU, XPU (intel, AMD, ARM)*। +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +*<i> आधुनिक TTS इंजन CPU पर बहुत धीमे हैं, इसलिए YourTTS, Tacotron2 आदि जैसे निम्न गुणवत्ता वाले TTS का उपयोग करें।</i> + +## समर्थित भाषाएं +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 भाषाएं और बोलियां यहां**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## समर्थित ई-बुक प्रारूप +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **सर्वोत्तम परिणाम**: स्वचालित अध्याय पहचान के लिए `.epub` या `.mobi` + +## आउटपुट और प्रसंस्करण प्रारूप +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- प्रसंस्करण प्रारूप को lib/conf.py में बदला जा सकता है + +## उपलब्ध SML टैग +- `[break]` — मौन (यादृच्छिक सीमा **0.3–0.6 sec.**) +- `[pause]` — मौन (यादृच्छिक सीमा **1.0–1.6 sec.**) +- `[pause:N]` — निश्चित विराम (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — डिफ़ॉल्ट या GUI/CLI से चुनी गई आवाज़ से आवाज़ बदलें + +**आपकी ई-बुक में स्वचालित रूप से SML जोड़ने के लिए समर्पित हमारे दूसरे रेपो को देखें -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**इंस्टॉलेशन या बग समस्या पोस्ट करने से पहले, खुली और बंद समस्याओं वाले टैब में सावधानी से खोजें<br> +यह सुनिश्चित करने के लिए कि आपकी समस्या पहले से मौजूद नहीं है।** + +>[!NOTE] +**EPUB प्रारूप में ऐसी कोई मानक संरचना नहीं है जो परिभाषित करे कि अध्याय, अनुच्छेद, प्रस्तावना आदि क्या हैं।<br> +इसलिए आपको पहले उस सभी पाठ को मैन्युअल रूप से हटा देना चाहिए जिसे आप ऑडियो में नहीं बदलना चाहते।** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook इंस्टॉल / चलाएं**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac लॉन्चर** + `Mac Ebook2Audiobook Launcher.command` पर डबल क्लिक करें + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windows उपयोगकर्ताओं के लिए ध्यान दें: व्यवस्थापक विशेषाधिकारों के बिना गुम प्रोग्रामों को इंस्टॉल करने के लिए scoop इंस्टॉल किया जाता है।</i> + +1. **वेब ऐप खोलें**: वेब ऐप तक पहुंचने और ई-बुक्स को बदलने के लिए टर्मिनल में दिए गए URL पर क्लिक करें। `http://localhost:7860/` +2. **सार्वजनिक लिंक के लिए**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**यदि स्क्रिप्ट को रोककर फिर से चलाया जाता है, तो आपको अपने Gradio GUI इंटरफ़ेस को रिफ़्रेश करना होगा<br> +ताकि वेब पेज नए कनेक्शन सॉकेट से फिर से जुड़ सके।** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: आपकी ई-बुक फ़ाइल का पथ + - **[--voice]**: वॉयस क्लोनिंग फ़ाइल पथ (वैकल्पिक) + - **[--language]**: ISO-639-3 में भाषा कोड (अर्थात्: इतालवी के लिए ita, अंग्रेज़ी के लिए eng, जर्मन के लिए deu...)।<br> + डिफ़ॉल्ट भाषा eng है और ./lib/lang.py में सेट की गई डिफ़ॉल्ट भाषा के लिए --language वैकल्पिक है।<br> + 2 अक्षर वाले ISO-639-1 कोड भी समर्थित हैं। + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: `model_name.zip` फ़ाइल का पथ, + जिसमें (tts इंजन के अनुसार) सभी अनिवार्य फ़ाइलें होनी चाहिए<br> + (देखें ./lib/models.py)। + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +ध्यान दें: gradio/gui मोड में, चल रहे रूपांतरण को रद्द करने के लिए, बस ई-बुक अपलोड घटक के [X] पर क्लिक करें। +सुझाव: यदि थोड़े अधिक विराम की आवश्यकता हो, तो 3 सेकंड के लिए '[pause:3]' जोड़ें आदि। + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## क्लोन की गई आवाज़ें +आप किसी भी समर्थित ऑडियो प्रारूप में कोई भी ध्वनि ऑडियो अपलोड कर सकते हैं, आदर्श अवधि लगभग 1 से 5 मिलियन है। +इससे कोई फर्क नहीं पड़ता कि रिकॉर्डिंग में शोरगुल वाला बैकग्राउंड है या संगीत बज रहा है — E2A आपकी आवाज़ को साफ़ कर देगा। + +अंतर्निहित क्लोन की गई आवाज़ों की सूची मुख्य रूप से अंग्रेजी में है। अगर आपको आधिकारिक रूप से अन्य भाषाओं में आवाज़ें चाहिए +सूची में जोड़ा गया, कृपया हमसे संपर्क करें और हम समीक्षा के बाद उन्हें जोड़ देंगे। + +## फ़ाइन-ट्यून किए गए (fine-tuned) TTS मॉडल +#### अपना स्वयं का XTTSv2 मॉडल फ़ाइन-ट्यून करें + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### प्रशिक्षण डेटा का शोर हटाना + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### फ़ाइन-ट्यून किए गए TTS मॉडल का संग्रह + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +कस्टम XTTSv2 मॉडल के लिए, आवाज़ का एक संदर्भ ऑडियो क्लिप अनिवार्य है: + +## आपका स्वयं का Ebook2Audiobook अनुकूलन +आप अपनी इच्छित सेटिंग्स जोड़ने या हटाने के लिए libs/conf.py को स्वतंत्र रूप से संशोधित कर सकते हैं। यदि आप ऐसा करने की योजना बना रहे हैं, तो बस +मूल conf.py की एक प्रतिलिपि बना लें ताकि प्रत्येक ebook2audiobook अद्यतन पर आप अपने संशोधित conf.py का बैकअप ले सकें और +मूल को वापस रख सकें। आपको models.py के लिए भी वही प्रक्रिया योजना बनानी होगी। यदि आप अपने स्वयं के कस्टम मॉडल को +एक आधिकारिक फ़ाइन-ट्यून किया गया ebook2audiobook मॉडल बनाना चाहते हैं, तो कृपया हमसे संपर्क करें और हम इसे प्रीसेट सूची में जोड़ देंगे। + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## सामान्य समस्याएं: +- मेरा NVIDIA/ROCm/XPU/MPS GPU नहीं पहचाना जा रहा?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU धीमा है (सर्वर smp CPU पर बेहतर) जबकि GPU लगभग वास्तविक समय का रूपांतरण कर सकता है। + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (हालांकि इसमें zero-shot वॉयस क्लोनिंग नहीं है, और ये Siri गुणवत्ता की आवाज़ें हैं, लेकिन यह cpu पर बहुत तेज़ है)। +- "मुझे निर्भरता संबंधी समस्याएं हो रही हैं" - बस docker का उपयोग करें, यह पूरी तरह से स्वतंत्र है और इसमें headless मोड है, + अधिक जानकारी के लिए docker run कमांड के अंत में `--help` पैरामीटर जोड़ें। +- "मुझे कटे हुए ऑडियो की समस्या हो रही है!" - कृपया इस बारे में एक ISSUE बनाएं, + हम हर भाषा नहीं बोलते और वाक्य विभाजन तर्क को बेहतर बनाने के लिए हमें उपयोगकर्ताओं की सलाह की आवश्यकता है।😊 + +## ***** रोडमैप ***** +- सभी विशेषताएं सार्वजनिक योगदान के लिए खुली हैं ⭐ +- मॉडलों को बेहतर बनाने में हमारी मदद करने के लिए किसी भी समर्थित भाषा को बोलने वाले लोगों से कोई भी सहायता ⭐ +- [x] रूपांतरण शुरू करने से पहले ब्लॉक/अध्यायों का पूर्वावलोकन +- [ ] सूक्ष्म पाठ परिवर्तन के लिए रूपांतरित वाक्य के अनुसार संपादन +- [x] आवाज़, विराम, रुकावट और अधिक परिवर्तनों के लिए SML टैग एकीकरण +- [x] विभिन्न भाषाओं में -h -help पैरामीटर जानकारी +- [x] PDF / JPG / BMP / PNG / TIFF के लिए OCR स्कैनिंग +- [x] Notebooks फ़ोल्डर [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] चीनी पाठ विभाजन को शब्दों को न तोड़ने योग्य बनाना और विराम की समयबद्धता में सुधार करना [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf एकीकरण +- [ ] [एक iOS ऐप बनाना](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [एक android ऐप बनाना](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### अतिरिक्त विकल्प +- [x] ई-बुक अनुवाद विकल्प +- [x] आउटपुट प्रारूप विकल्प +- [x] बैच ई-बुक फ़ोल्डर +- [x] मल्टीप्रोसेसिंग रूपांतरण +- [x] बैच ई-बुक फ़ोल्डर रूपांतरण +- [x] GPU डिवाइस पहचान +- [x] अपलोड की गई वॉयस क्लोनिंग के लिए किसी भी संदर्भ ऑडियो का शोर हटाएं, +- [x] कस्टम मॉडल अपलोड (अभी के लिए केवल XTTSv2। मांग पर और) +- [ ] कम से कम xttsv2, fairseq, vits, piper के लिए यूरोपीय पुर्तगाली भाषा मॉडल जोड़ें (सहायता का स्वागत है) +- [ ] कम से कम xttsv2, fairseq, vits, piper के लिए सिंधी भाषा मॉडल जोड़ें (सहायता का स्वागत है) + +#### टीटीएस इंजन +- [x] XTTSv2 +- [x] छाल +- [x] फेयरसेक +- [x] विट्स +- [x] टैकोट्रॉन2 +- [x] YourTTS +- [x] कछुआ +- [x] GlowTTS +- [x] पाइपर +- [ ] GPT - SOVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] फिश - स्पीच (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5 - TTS (https://github.com/swivid/f5-tts) +- [ ] चैटबॉक्स (https://github.com/resemble-ai/chatterbox) +- [ ] सुपरटोनिक (https://github.com/supertone-inc/supertonic) +- [ ] स्पार्क - टीटीएस (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] कोकोरो - टीटीएस (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] ज़ोनोस (https://github.com/Zyphra/Zonos) +- [ ] स्टाइल - TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] ऑर्फ़ियस - टीटीएस (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme अनुवाद +- [x] अरबी (आरा) +- [x] चीनी (zho) +- [x] English (eng) +- [x] स्पेनिश (SPA) +- [x] फ़्रेंच (FRA) +- [x] जर्मन (deu) +- [x] इटैलियन (ITA) +- [x] पुर्तगाली (POR) +- [x] पोलिश (POL) +- [x] तुर्की (TUR) +- [x] रूसी (RUS) +- [x] डच (nld) +- [x] चेक (ces) +- [x] जापानी (jpn) +- [x] हिन्दी (hin) +- [x] बंगाली (बेन) +- [x] हंगेरियन (HUN) +- [x] कोरियाई (कोर) +- [x] वियतनामी (VIE) +- [x] स्वीडिश (SWE) +- [x] फ़ारसी (फास) +- [x] योरुबा (योर) +- [x] स्वाहिली (SWA) +- [x] इंडोनेशियाई (ind) +- [x] स्लोवाक (SLK) +- [x] क्रोएशियाई (hrv) + +#### 🐍 OS संगतता +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## मॉडलों के प्रशिक्षण आदि के लिए अतिरिक्त ओवरकिल (सभी समर्थित Coqui-tts मॉडल और piper-tts एक आसान कमांड में) +- इसके बारे में जानकारी के लिए @DrewThomasson, वे वर्तमान में इसके विकास पर काम कर रहे हैं, [कार्य-प्रगति रेपो यहां](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ljspeech प्रारूप प्रशिक्षण रेसिपी में सभी coqui-tts मॉडलों के लिए उपयोग में आसान प्रशिक्षण gui बनाएं [coqui tts से यहां](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## योगदानकर्ताओं के लिए Python कोड सामान्यीकरण जानकारी +- फ़ंक्शन और क्लास के बीच को छोड़कर, कोड के बीच कोई खाली पंक्ति नहीं। +- dict() और json को छोड़कर सभी कुंजियों के लिए एकल उद्धरण का उपयोग किया जाता है। dict['key'] हमेशा एकल उद्धरण के साथ कॉल किया जाता है +- 4 स्थान इंडेंटेशन, बिल्कुल भी टैब नहीं +- सभी फ़ंक्शनों और उनके तर्कों तथा रिटर्न मानों की घोषणा के लिए सख्त टाइपिंग +- तर्क और उसकी टाइपिंग के बीच कोई स्थान नहीं, फ़ंक्शन, "->" और रिटर्न मान के बीच कोई स्थान नहीं + +उदाहरण: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## बीटा परीक्षणों के लिए हार्डवेयर दान की तलाश है +हम अपने विकास का परीक्षण करने के लिए किसी भी प्रकार का हार्डवेयर स्वीकार करते हैं जैसे: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson यदि आप किसी भी तरह से मदद करना चाहते हैं! 😃 +<!-- +## क्या आपको हमारी सेवा को बढ़ावा देने के लिए GPU किराए पर लेने की आवश्यकता है? +- यहां एक मतदान खुला है https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## विशेष धन्यवाद +सभी वित्तीय और कोड योगदानकर्ताओं के लिए, प्रत्येक योगदान और सुझाव E2A की गुणवत्ता में सुधार करने में मदद करता है। \ No newline at end of file diff --git a/readme/README_hrv.md b/readme/README_hrv.md new file mode 100644 index 0000000..a34521e --- /dev/null +++ b/readme/README_hrv.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU pretvarač iz e-knjige u audioknjigu s poglavljima i metapodacima<br/> +uz napredne TTS pogone i još mnogo toga.<br/> +Podržava kloniranje glasa i 1158 jezika! +> [!IMPORTANT] +**Ovaj alat namijenjen je isključivo za upotrebu s e-knjigama bez DRM-a, legalno nabavljenima.** <br> +Autori nisu odgovorni ni za kakvu zlouporabu ovog softvera niti za eventualne pravne posljedice. <br> +Koristite ovaj alat odgovorno i u skladu sa svim primjenjivim zakonima. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Hvala što podržavate razvojne programere ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Pokretanje lokalno + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Pokretanje na daljinu +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafičko sučelje (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Kliknite za prikaz slika web GUI-ja</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demoi + +**Demo novog zadanog glasa** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Više demoa</summary> + +**ASMR glas** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Glas kišnog dana** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett glas** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Glas Davida Attenborougha** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Primjer** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Sadržaj +- [ebook2audiobook](#-ebook2audiobook) +- [Značajke](#features) +- [Grafičko sučelje](#gui-interface) +- [Demoi](#demos) +- [Podržani jezici](#supported-languages) +- [Minimalni zahtjevi](#hardware-requirements) +- [Upotreba](#instructions) + - [Pokretanje lokalno](#instructions) + - [Pokretanje Gradio web sučelja](#instructions) + - [Osnovna upotreba u headless načinu](#basic-usage) + - [Upotreba prilagođenog XTTS modela u headless načinu](#example-of-custom-model-zip-upload) + - [Izlaz naredbe za pomoć](#help-command-output) + - [Pokretanje na daljinu](#run-remotely) + - [Docker](#docker) + - [Koraci za pokretanje](#docker) + +- [Klonirani glasovi](#cloned-voices) +- [Fino podešeni TTS modeli](#fine-tuned-tts-models) + - [Zbirka fino podešenih TTS modela](#fine-tuned-tts-collection) + - [Treniranje XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Podržani formati e-knjiga](#supported-ebook-formats) +- [Izlazni formati](#output-and-process-formats) +- [Vraćanje na stariju verziju](#reverting-to-older-versions) +- [Česti problemi](#common-issues) +- [Posebna zahvala](#special-thanks) +- [Sadržaj](#table-of-contents) + + +## Značajke +- 🔧 **Podržani TTS pogoni**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Pretvaranje više formata datoteka**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Tekstno polje** za izravno pretvaranje kratkog teksta u zvuk +- 🔍 **OCR skeniranje** za datoteke s tekstualnim stranicama u obliku slika +- 🔊 **Visokokvalitetno pretvaranje teksta u govor**, od gotovo stvarnog vremena do gotovo stvarnog glasa +- 🗣️ **Neobavezno kloniranje glasa** pomoću vlastite glasovne datoteke +- 🌐 **Podržava 1158 jezika** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Prikladno za ograničene resurse** — radi na **2 GB RAM-a / 1 GB VRAM-a (minimum)** +- 🎵 **Izlazni formati audioknjige**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Podržane SML oznake** — precizna kontrola prekida, pauza, promjene glasa i više ([see below](#sml-tags-available)) +- 🧩 **Neobavezni prilagođeni model** pomoću vašeg vlastitog istreniranog modela (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Fino podešeni unaprijed postavljeni modeli** istrenirani od strane E2A tima<br/> + <i>(Kontaktirajte nas ako trebate dodatne fino podešene modele ili ako želite podijeliti svoje na službenom popisu unaprijed postavljenih)</i> + + +## Hardverski zahtjevi +- 2 GB RAM-a min., 8 GB preporučeno. +- 1 GB VRAM-a min., 4 GB preporučeno. +- Omogućena virtualizacija pri pokretanju na Windowsima (samo Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Moderni TTS pogoni vrlo su spori na CPU-u, pa koristite TTS niže kvalitete poput YourTTS, Tacotron2 itd.</i> + +## Podržani jezici +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 jezika i dijalekata ovdje**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Podržani formati e-knjiga +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Najbolji rezultati**: `.epub` ili `.mobi` za automatsko otkrivanje poglavlja + +## Formati izlaza i obrade +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Format obrade može se promijeniti u lib/conf.py + +## Dostupne SML oznake +- `[break]` — tišina (nasumični raspon **0.3–0.6 sec.**) +- `[pause]` — tišina (nasumični raspon **1.0–1.6 sec.**) +- `[pause:N]` — fiksna pauza (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — prebacivanje glasa sa zadanog ili odabranog glasa iz GUI/CLI + +**Pogledajte naš drugi repozitorij posvećen automatskom dodavanju SML-a u vašu e-knjigu -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Prije nego što prijavite problem s instalacijom ili pogrešku, pažljivo pretražite karticu otvorenih i zatvorenih problema<br> +kako biste bili sigurni da vaš problem već ne postoji.** + +>[!NOTE] +**Format EPUB nema nikakvu standardnu strukturu koja definira što je poglavlje, odlomak, predgovor itd.<br> +Stoga biste prvo trebali ručno ukloniti sav tekst koji ne želite pretvoriti u zvuk.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Instalirajte / Pokrenite ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Pokretač za Mac** + Dvaput kliknite na `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Napomena za korisnike Windowsa: scoop se instalira radi instalacije programa koji nedostaju bez administratorskih ovlasti.</i> + +1. **Otvorite web aplikaciju**: Kliknite na URL naveden u terminalu za pristup web aplikaciji i pretvaranje e-knjiga. `http://localhost:7860/` +2. **Za javnu poveznicu**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Ako se skripta zaustavi i ponovno pokrene, morate osvježiti svoje Gradio GUI sučelje<br> +kako bi se web stranica ponovno povezala s novim utičnicom veze.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Putanja do vaše datoteke e-knjige + - **[--voice]**: Putanja datoteke za kloniranje glasa (neobavezno) + - **[--language]**: Kod jezika u ISO-639-3 (npr.: ita za talijanski, eng za engleski, deu za njemački...).<br> + Zadani jezik je eng, a --language je neobavezan za zadani jezik postavljen u ./lib/lang.py.<br> + Podržani su i dvoslovni ISO-639-1 kodovi. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Putanja do datoteke `model_name.zip`, + koja mora sadržavati (ovisno o TTS pogonu) sve obavezne datoteke<br> + (vidi ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NAPOMENA: u gradio/gui načinu rada, za otkazivanje pretvaranja u tijeku jednostavno kliknite na [X] na komponenti za učitavanje e-knjige. +SAVJET: ako je potrebna malo dulja pauza, dodajte '[pause:3]' za 3 sek. itd. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klonirani glasovi +Možete prenijeti bilo koji glasovni zvuk u bilo kojem od podržanih audio formata, idealno trajanje je oko 1 do 5 milijuna. +Nije važno ima li snimka bučnu pozadinu ili se nad njom reproducira glazba — E2A će očistiti glas za vas. + +Ugrađeni popis kloniranih glasova uglavnom je na engleskom jeziku. Ako želite da glasovi na drugim jezicima budu službeno +dodano na popis, obratite nam se i dodat ćemo ih nakon pregleda. + +## Fino podešeni (fine-tuned) TTS modeli +#### Fino podesite vlastiti XTTSv2 model + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Uklanjanje šuma iz podataka za treniranje + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Zbirka fino podešenih TTS modela + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Za prilagođeni XTTSv2 model obavezan je referentni audioisječak glasa: + +## Vaša vlastita prilagodba Ebook2Audiobook +Slobodni ste mijenjati libs/conf.py kako biste dodali ili uklonili željene postavke. Ako to planirate, jednostavno napravite +kopiju izvornog conf.py kako biste pri svakom ažuriranju ebook2audiobook mogli sigurnosno pohraniti svoj izmijenjeni conf.py i vratiti +izvorni. Isti postupak morate planirati i za models.py. Ako želite od svog vlastitog prilagođenog modela +napraviti službeni fino podešeni ebook2audiobook model, kontaktirajte nas i dodat ćemo ga na popis unaprijed postavljenih. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Česti problemi: +- Moj NVIDIA/ROCm/XPU/MPS GPU nije otkriven?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU je spor (bolje na serverskom SMP CPU-u) dok GPU može imati gotovo pretvaranje u stvarnom vremenu. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Međutim, nema zero-shot kloniranje glasa, a glasovi su Siri kvalitete, ali je puno brži na CPU-u). +- „Imam problema s ovisnostima“ - Jednostavno koristite Docker, potpuno je samostalan i ima headless način, + dodajte parametar `--help` na kraj naredbe docker run za više informacija. +- „Imam problem s odrezanim zvukom!“ - MOLIMO OTVORITE ISSUE O TOME, + ne govorimo svaki jezik i trebamo savjete korisnika kako bismo fino podesili logiku dijeljenja rečenica.😊 + +## ***** PLAN RAZVOJA ***** +- Sve značajke otvorene za javne doprinose ⭐ +- Bilo kakva pomoć od ljudi koji govore neki od podržanih jezika kako bi nam pomogli poboljšati modele ⭐ +- [x] Pregled blokova/poglavlja prije početka pretvaranja +- [ ] Uređivanje po pretvorenoj rečenici za kiruršku izmjenu teksta +- [x] Integracija SML oznaka za glas, pauzu, prekid i druge promjene +- [x] Informacije o parametrima -h -help na različitim jezicima +- [x] OCR skeniranje za PDF / JPG / BMP / PNG / TIFF +- [x] Mapa bilježnica [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Učiniti da dijeljenje kineskog teksta ne razdvaja riječi i poboljšati vremensko usklađivanje pauza [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle bilježnica +- [x] Google Colab bilježnica +- [ ] Integracija s Audiobookshelf +- [ ] [Napraviti iOS aplikaciju](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Napraviti Android aplikaciju](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Dodatne opcije +- [x] Opcija prijevoda e-knjige +- [x] Izbori izlaznog formata +- [x] Skupna mapa e-knjiga +- [x] Pretvaranje s višeprocesnom obradom +- [x] Skupno pretvaranje mape e-knjiga +- [x] Otkrivanje GPU uređaja +- [x] Uklanjanje šuma iz bilo kojeg referentnog zvuka za učitano kloniranje glasa, +- [x] Učitavanje prilagođenog modela (zasad samo XTTSv2. više na zahtjev) +- [ ] Dodati jezični model europskog portugalskog barem za xttsv2, fairseq, vits, piper (pomoć dobrodošla) +- [ ] Dodati jezični model sindhi barem za xttsv2, fairseq, vits, piper (pomoć dobrodošla) + +#### TTS motori +- [x] XTTSv2 +- [x] Lavež +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Kornjača +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] riblji govor (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Stil-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orfej-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Prijevod datoteke Readme +- [x] Arapski (ara) +- [x] Kineski (zho) +- [x] English (eng) +- [x] Španjolski (spa) +- [x] Francuski (fra) +- [x] Njemački (deu) +- [x] Talijanski (ita) +- [x] Portugalski (por) +- [x] Poljski (pol) +- [x] Turski (tur) +- [x] Ruski (rus) +- [x] Nizozemski (nld) +- [x] Češki (ces) +- [x] Japanski (jpn) +- [x] Hindski (hin) +- [x] Bengalski (ben) +- [x] Mađarski (hun) +- [x] Korejski (kor) +- [x] Vijetnamski (vie) +- [x] Švedski (swe) +- [x] Perzijski (fas) +- [x] Yoruba (yor) +- [x] Svahili (sva) +- [x] Indonezijski (ind) +- [x] Slovački (slk) +- [x] Croatian (hrv) + +#### 🐍 Kompatibilnost operacijskih sustava +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Dodatni overkill za treniranje modela i slično (svi podržani Coqui-tts modeli i piper-tts u jednoj jednostavnoj naredbi) +- Za informacije o tome: @DrewThomasson trenutno radi na razvoju ovoga, [repozitorij u izradi ovdje](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Napraviti jednostavan GUI za treniranje svih coqui-tts modela u receptima za treniranje u ljspeech formatu [ovdje od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informacije o normalizaciji Python koda za suradnike +- nema praznog retka između koda, osim između funkcija i klasa. +- jednostruki navodnik korišten za sve ključeve osim za dict() i json. dict['key'] uvijek pozvan s jednostrukim navodnikom +- uvlaka od 4 razmaka, nikakvi tabulatori +- strogo tipiziranje za sve funkcije i deklaraciju njihovih argumenata i povratnih vrijednosti +- nema razmaka između argumenta i njegovog tipiziranja, nema razmaka između funkcije, „->“ i povratne vrijednosti + +Primjer: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Tražimo donaciju hardvera za beta testiranje +Prihvaćamo bilo koju vrstu hardvera za testiranje našeg razvoja, kao što su: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson ako želite pomoći na bilo koji način! 😃 +<!-- +## Trebate li unajmiti GPU za pojačanje naše usluge? +- Anketa je otvorena ovdje https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Posebna zahvala +Svim financijskim i kodnim suradnicima, svaki doprinos i prijedlog pomaže u poboljšanju kvalitete E2A. \ No newline at end of file diff --git a/readme/README_hun.md b/readme/README_hun.md new file mode 100644 index 0000000..328c2c6 --- /dev/null +++ b/readme/README_hun.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU átalakító e-könyvből hangoskönyvvé fejezetekkel és metaadatokkal<br/> +fejlett TTS-motorok használatával és még sok mással.<br/> +Támogatja a hangklónozást és 1158 nyelvet! +> [!IMPORTANT] +**Ez az eszköz kizárólag DRM-mentes, legálisan beszerzett e-könyvekhez használható.** <br> +A szerzők nem felelősek a szoftver bárminemű visszaéléséért, sem az ebből eredő jogi következményekért. <br> +Használd ezt az eszközt felelősségteljesen, az összes vonatkozó törvénnyel összhangban. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Köszönjük, hogy támogatod az ebook2audiobook fejlesztőit! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Futtatás helyben + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Futtatás távolról +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafikus felület (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Kattints a webes GUI képeinek megtekintéséhez</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demók + +**Az új alapértelmezett hang demója** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>További demók</summary> + +**ASMR hang** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Esős napi hang** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett hang** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough hang** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Példa** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Tartalomjegyzék +- [ebook2audiobook](#-ebook2audiobook) +- [Funkciók](#features) +- [Grafikus felület](#gui-interface) +- [Demók](#demos) +- [Támogatott nyelvek](#supported-languages) +- [Minimális követelmények](#hardware-requirements) +- [Használat](#instructions) + - [Futtatás helyben](#instructions) + - [A Gradio webes felület indítása](#instructions) + - [Alapvető headless használat](#basic-usage) + - [Egyéni XTTS modell használata headless módban](#example-of-custom-model-zip-upload) + - [A súgóparancs kimenete](#help-command-output) + - [Futtatás távolról](#run-remotely) + - [Docker](#docker) + - [Futtatási lépések](#docker) + +- [Klónozott hangok](#cloned-voices) +- [Finomhangolt TTS modellek](#fine-tuned-tts-models) + - [Finomhangolt TTS modellek gyűjteménye](#fine-tuned-tts-collection) + - [XTTSv2 tanítása](#fine-tune-your-own-xttsv2-model) +- [Támogatott e-könyv formátumok](#supported-ebook-formats) +- [Kimeneti formátumok](#output-and-process-formats) +- [Visszatérés régebbi verzióhoz](#reverting-to-older-versions) +- [Gyakori problémák](#common-issues) +- [Külön köszönet](#special-thanks) +- [Tartalomjegyzék](#table-of-contents) + + +## Funkciók +- 🔧 **Támogatott TTS-motorok**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Több fájlformátum átalakítása**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Szövegmező** rövid szöveg közvetlen hanggá alakításához +- 🔍 **OCR-beolvasás** képként megjelenő szöveges oldalakat tartalmazó fájlokhoz +- 🔊 **Kiváló minőségű szövegfelolvasás**, a közel valós időtől a szinte valós hangig +- 🗣️ **Opcionális hangklónozás** a saját hangfájlod használatával +- 🌐 **1158 nyelvet támogat** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Erőforrás-barát** — fut **2 GB RAM / 1 GB VRAM (minimum)** mellett +- 🎵 **Hangoskönyv kimeneti formátumok**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML címkék támogatása** — szünetek, megállások, hangváltás és egyebek finom vezérlése ([see below](#sml-tags-available)) +- 🧩 **Opcionális egyéni modell** a saját betanított modelled használatával (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Finomhangolt előbeállított modellek**, amelyeket az E2A csapata tanított be<br/> + <i>(Lépj kapcsolatba velünk, ha további finomhangolt modellekre van szükséged, vagy ha meg szeretnéd osztani a sajátjaidat a hivatalos előbeállítások listáján)</i> + + +## Hardverkövetelmények +- 2 GB RAM min., 8 GB ajánlott. +- 1 GB VRAM min., 4 GB ajánlott. +- Engedélyezett virtualizáció, ha Windowson fut (csak Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +*<i> A modern TTS-motorok nagyon lassúak CPU-n, ezért használj alacsonyabb minőségű TTS-t, mint a YourTTS, Tacotron2 stb.</i> + +## Támogatott nyelvek +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 nyelv és nyelvjárás itt**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Támogatott e-könyv formátumok +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Legjobb eredmények**: `.epub` vagy `.mobi` az automatikus fejezetfelismeréshez + +## Kimeneti és feldolgozási formátumok +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- A feldolgozási formátum a lib/conf.py fájlban módosítható + +## Elérhető SML címkék +- `[break]` — csend (véletlenszerű tartomány **0.3–0.6 sec.**) +- `[pause]` — csend (véletlenszerű tartomány **1.0–1.6 sec.**) +- `[pause:N]` — fix szünet (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — hangváltás az alapértelmezett vagy a GUI/CLI-ben kiválasztott hangról + +**Nézd meg másik repónkat, amely az SML automatikus hozzáadásának szentelt az e-könyvedhez -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Mielőtt telepítési vagy hibajegyet nyitnál, gondosan keress rá a nyitott és lezárt jegyek fülön<br> +hogy biztos legyél benne, hogy a problémád még nem létezik.** + +>[!NOTE] +**Az EPUB formátum nem rendelkezik semmilyen szabványos struktúrával arra nézve, hogy mi a fejezet, bekezdés, előszó stb.<br> +Ezért először manuálisan el kell távolítanod minden olyan szöveget, amelyet nem szeretnél hanggá alakítani.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Telepítsd / Futtasd az ebook2audiobookot**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac indító** + Kattints duplán a `Mac Ebook2Audiobook Launcher.command` fájlra + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Megjegyzés Windows-felhasználóknak: a scoop telepítésre kerül a hiányzó programok rendszergazdai jogosultságok nélküli telepítéséhez.</i> + +1. **Nyisd meg a webalkalmazást**: Kattints a terminálban megadott URL-re a webalkalmazás eléréséhez és az e-könyvek átalakításához. `http://localhost:7860/` +2. **Nyilvános linkhez**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Ha a szkriptet leállítják és újra futtatják, frissítened kell a Gradio GUI felületedet<br> +hogy a weboldal újra tudjon csatlakozni az új kapcsolati sockethez.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Az e-könyv fájlod elérési útja + - **[--voice]**: A hangklónozó fájl elérési útja (opcionális) + - **[--language]**: Nyelvkód ISO-639-3 formátumban (pl.: ita olaszhoz, eng angolhoz, deu némethez...).<br> + Az alapértelmezett nyelv az eng, és a --language opcionális a ./lib/lang.py fájlban beállított alapértelmezett nyelvhez.<br> + A kétbetűs ISO-639-1 kódok is támogatottak. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: A `model_name.zip` fájl elérési útja, + amelynek (a TTS-motortól függően) tartalmaznia kell az összes kötelező fájlt<br> + (lásd ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +MEGJEGYZÉS: gradio/gui módban a folyamatban lévő átalakítás megszakításához egyszerűen kattints az e-könyv feltöltési komponens [X] gombjára. +TIPP: ha kicsit több szünet szükséges, adj hozzá '[pause:3]'-at 3 mp-hez stb. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klónozott hangok +Bármilyen hangfelvételt feltölthet bármelyik támogatott hangformátumban, az ideális időtartam 1-5 mn. +Nem számít, hogy a felvétel zajos háttérrel vagy zenével rendelkezik — az E2A megtisztítja a hangot az Ön számára. + +A beépített klónozott hangok listája főként angol nyelven érhető el. Ha más nyelvű hangokra van szüksége ahhoz, hogy hivatalosan +hozzáadva a listához. Vedd fel velünk a kapcsolatot, és az ellenőrzés után hozzáadjuk őket. + +## Finomhangolt (fine-tuned) TTS modellek +#### Finomhangold a saját XTTSv2 modelledet + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Tanítóadatok zajszűrése + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Finomhangolt TTS modellek gyűjteménye + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Egyéni XTTSv2 modellhez kötelező egy referencia hangklip a hangról: + +## A saját Ebook2Audiobook testreszabásod +Szabadon módosíthatod a libs/conf.py fájlt a kívánt beállítások hozzáadásához vagy eltávolításához. Ha ezt tervezed, egyszerűen készíts +egy másolatot az eredeti conf.py fájlról, hogy minden ebook2audiobook frissítésnél elmenthesd a módosított conf.py fájlodat, és visszatehesd +az eredetit. Ugyanezt a folyamatot kell megtervezned a models.py esetében is. Ha szeretnéd a saját egyéni modelledet +hivatalos finomhangolt ebook2audiobook modellé tenni, lépj kapcsolatba velünk, és hozzáadjuk az előbeállítások listájához. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Gyakori problémák: +- Az NVIDIA/ROCm/XPU/MPS GPU-mat nem érzékeli?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- A CPU lassú (jobb szerver SMP CPU-n), míg a GPU szinte valós idejű átalakítást tud nyújtani. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Nincs azonban zero-shot hangklónozása, és a hangok Siri minőségűek, de CPU-n sokkal gyorsabb). +- „Függőségi problémáim vannak” - Egyszerűen használd a Dockert, teljesen önálló, és van headless módja, + adj hozzá `--help` paramétert a docker run parancs végéhez további információkért. +- „Levágott hang problémám van!” - KÉRJÜK, NYISS ERRŐL EGY ISSUE-T, + nem beszélünk minden nyelvet, és szükségünk van a felhasználók tanácsaira a mondatfelosztási logika finomhangolásához.😊 + +## ***** ÜTEMTERV ***** +- Minden funkció nyitva a nyilvános hozzájárulások előtt ⭐ +- Bármilyen segítség a támogatott nyelvek valamelyikét beszélő emberektől, hogy segítsenek javítani a modelleket ⭐ +- [x] Blokkok/fejezetek előnézete az átalakítás megkezdése előtt +- [ ] Szerkesztés átalakított mondatonként a sebészi pontosságú szövegmódosításhoz +- [x] SML címkék integrációja hanghoz, szünethez, megszakításhoz és további módosításokhoz +- [x] A -h -help paraméterek információi különböző nyelveken +- [x] OCR-beolvasás PDF / JPG / BMP / PNG / TIFF formátumokhoz +- [x] Notebookok mappa [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] A kínai szövegfelosztás úgy alakítása, hogy ne vágjon szét szavakat, és a szünetek időzítésének javítása [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle notebook +- [x] Google Colab notebook +- [ ] Audiobookshelf integráció +- [ ] [iOS alkalmazás készítése](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Android alkalmazás készítése](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### További opciók +- [x] E-könyv fordítási opció +- [x] Kimeneti formátum választása +- [x] Kötegelt e-könyv mappa +- [x] Átalakítás többszálú feldolgozással +- [x] E-könyv mappa kötegelt átalakítása +- [x] GPU-eszköz észlelése +- [x] Bármilyen referencia hang zajszűrése a feltöltött hangklónozáshoz, +- [x] Egyéni modell feltöltése (egyelőre csak XTTSv2. több kérésre) +- [ ] Európai portugál nyelvi modell hozzáadása legalább xttsv2, fairseq, vits, piper számára (segítség szívesen látott) +- [ ] Szindhi nyelvi modell hozzáadása legalább xttsv2, fairseq, vits, piper számára (segítség szívesen látott) + +#### TTS motorok +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Szárazfölditeknős-félék +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] hal-beszéd (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Szupertonikus (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Stílus-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### A Readme fordítása +- [x] Arab (ara) +- [x] Kínai (zho) +- [x] English (eng) +- [x] Spanyol (Spa) +- [x] Francia (fra) +- [x] Német (deu) +- [x] Olasz (ita) +- [x] Portugál (por) +- [x] Lengyel (pol) +- [x] Török (tur) +- [x] Orosz (orosz) +- [x] Holland (nld) +- [x] Czech (ces) +- [x] Japán (jpn) +- [x] Hindi (hin) +- [x] Bengáli (ben) +- [x] Hungarian (hun) +- [x] Koreai (kor) +- [x] Vietnami (vie) +- [x] Svéd (swe) +- [x] Perzsa (fas) +- [x] Yoruba (yor) +- [x] Szuahéli (swa) +- [x] Indonéz (ind) +- [x] Slovak (slk) +- [x] Horvát (hrv) + +#### 🐍 Operációsrendszer-kompatibilitás +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra túlzás modellek tanításához és hasonlókhoz (az összes támogatott Coqui-tts modell és a piper-tts egyetlen egyszerű paranccsal) +- Az erről szóló információkért: @DrewThomasson jelenleg ennek a fejlesztésén dolgozik, [fejlesztés alatt álló repó itt](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Könnyen használható tanító GUI készítése az összes coqui-tts modellhez ljspeech formátumú tanító receptekben [itt a coqui tts-től](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Python kódnormalizálási információk közreműködőknek +- nincs üres sor a kód között, kivéve a függvények és osztályok között. +- egyszeres idézőjel minden kulcshoz, kivéve a dict() és json esetében. a dict['key'] mindig egyszeres idézőjellel hívandó +- 4 szóköznyi behúzás, egyáltalán nincs tabulátor +- szigorú típusozás minden függvényhez, valamint argumentumaik és visszatérési értékeik deklarációjához +- nincs szóköz az argumentum és a típusozása között, nincs szóköz a függvény, a „->” és a visszatérési érték között + +Példa: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardveradományt keresünk béta tesztekhez +Bármilyen típusú hardvert elfogadunk a fejlesztésünk teszteléséhez, például: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson ha bármilyen módon segíteni szeretnél! 😃 +<!-- +## Szükséged van GPU bérlésére a szolgáltatásunk felgyorsításához? +- Egy szavazás nyitva van itt https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Külön köszönet +Minden pénzügyi és kód közreműködő számára minden hozzájárulás és javaslat hozzájárul az E2A minőségének javításához. \ No newline at end of file diff --git a/readme/README_ind.md b/readme/README_ind.md new file mode 100644 index 0000000..1e5c52f --- /dev/null +++ b/readme/README_ind.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Konverter CPU/GPU dari E-Book ke buku audio dengan bab dan metadata<br/> +menggunakan mesin TTS canggih dan banyak lagi.<br/> +Mendukung kloning suara dan 1158 bahasa! +> [!IMPORTANT] +**Alat ini ditujukan hanya untuk digunakan dengan eBook tanpa DRM yang diperoleh secara legal.** <br> +Penulis tidak bertanggung jawab atas penyalahgunaan perangkat lunak ini atau konsekuensi hukum yang timbul. <br> +Gunakan alat ini secara bertanggung jawab dan sesuai dengan semua hukum yang berlaku. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Terima kasih telah mendukung pengembang ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Jalankan secara lokal + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Jalankan dari jarak jauh +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Antarmuka GUI +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Klik untuk melihat gambar GUI Web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demo + +**Demo Suara Default Baru** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Demo lainnya</summary> + +**Suara ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Suara Hari Hujan** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Suara Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Suara David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Contoh** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Daftar Isi +- [ebook2audiobook](#-ebook2audiobook) +- [Fitur](#features) +- [Antarmuka GUI](#gui-interface) +- [Demo](#demos) +- [Bahasa yang Didukung](#supported-languages) +- [Persyaratan Minimum](#hardware-requirements) +- [Penggunaan](#instructions) + - [Jalankan secara Lokal](#instructions) + - [Meluncurkan Antarmuka Web Gradio](#instructions) + - [Penggunaan Headless Dasar](#basic-usage) + - [Penggunaan Model XTTS Kustom Headless](#example-of-custom-model-zip-upload) + - [Keluaran perintah bantuan](#help-command-output) + - [Jalankan dari Jarak Jauh](#run-remotely) + - [Docker](#docker) + - [Langkah-langkah Menjalankan](#docker) + +- [Cloned Voices](#cloned-voices) +- [Model TTS yang Disetel Halus](#fine-tuned-tts-models) + - [Koleksi Model TTS yang Disetel Halus](#fine-tuned-tts-collection) + - [Melatih XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Format eBook yang Didukung](#supported-ebook-formats) +- [Format Keluaran](#output-and-process-formats) +- [Mengembalikan ke Versi lebih lama](#reverting-to-older-versions) +- [Masalah Umum](#common-issues) +- [Terima Kasih Khusus](#special-thanks) +- [Daftar Isi](#table-of-contents) + + +## Fitur +- 🔧 **Mesin TTS yang didukung**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Mengonversi berbagai format file**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Area Teks** untuk langsung mengonversi teks pendek menjadi audio +- 🔍 **Pemindaian OCR** untuk file dengan halaman teks berupa gambar +- 🔊 **Text-to-speech berkualitas tinggi**, dari hampir waktu nyata hingga suara hampir nyata +- 🗣️ **Kloning suara opsional** menggunakan file suara Anda sendiri +- 🌐 **Mendukung 1158 bahasa** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Ramah sumber daya rendah** — berjalan pada **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Format keluaran buku audio**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Tag SML didukung** — kontrol terperinci atas jeda, hentian, peralihan suara, dan lainnya ([see below](#sml-tags-available)) +- 🧩 **Model kustom opsional** menggunakan model latih Anda sendiri (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Model preset yang disetel halus** yang dilatih oleh Tim E2A<br/> + <i>(Hubungi kami jika Anda memerlukan model yang disetel halus tambahan, atau jika Anda ingin membagikan milik Anda ke daftar preset resmi)</i> + + +## Persyaratan Perangkat Keras +- RAM 2GB min, 8GB direkomendasikan. +- VRAM 1GB min, 4GB direkomendasikan. +- Virtualisasi diaktifkan jika berjalan di windows (hanya Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Mesin TTS modern sangat lambat di CPU, jadi gunakan TTS berkualitas lebih rendah seperti YourTTS, Tacotron2 dll.</i> + +## Bahasa yang Didukung +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 bahasa dan dialek di sini**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Format eBook yang Didukung +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Hasil terbaik**: `.epub` atau `.mobi` untuk deteksi bab otomatis + +## Format Keluaran dan proses +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Format proses dapat diubah di lib/conf.py + +## Tag SML yang tersedia +- `[break]` — hening (rentang acak **0.3–0.6 sec.**) +- `[pause]` — hening (rentang acak **1.0–1.6 sec.**) +- `[pause:N]` — jeda tetap (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — alihkan suara dari suara default atau suara yang dipilih dari GUI/CLI + +**Lihat repo kami yang lain yang didedikasikan untuk menambahkan SML secara otomatis di eBook Anda -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Sebelum memposting masalah pemasangan atau bug, cari dengan cermat di TAB masalah yang terbuka dan tertutup<br> +untuk memastikan masalah Anda belum ada.** + +>[!NOTE] +**Format EPUB tidak memiliki struktur standar apa pun seperti apa itu bab, paragraf, kata pengantar, dll.<br> +Jadi Anda harus terlebih dahulu menghapus secara manual teks apa pun yang tidak ingin Anda konversi menjadi audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Pasang / Jalankan ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Peluncur Mac** + Klik dua kali `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Catatan untuk pengguna Windows: scoop dipasang untuk memasang program yang hilang tanpa hak istimewa administrator.</i> + +1. **Buka Aplikasi Web**: Klik URL yang disediakan di terminal untuk mengakses aplikasi web dan mengonversi eBook. `http://localhost:7860/` +2. **Untuk Tautan Publik**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Jika skrip dihentikan dan dijalankan lagi, Anda perlu menyegarkan antarmuka GUI gradio Anda<br> +agar halaman web dapat terhubung kembali ke soket koneksi yang baru.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Jalur ke file eBook Anda + - **[--voice]**: Jalur file kloning suara (opsional) + - **[--language]**: Kode bahasa dalam ISO-639-3 (yaitu: ita untuk Italia, eng untuk Inggris, deu untuk Jerman...).<br> + Bahasa default adalah eng dan --language bersifat opsional untuk bahasa default yang diatur di ./lib/lang.py.<br> + Kode ISO-639-1 2 huruf juga didukung. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Jalur ke file `model_name.zip`, + yang harus berisi (sesuai mesin tts) semua file wajib<br> + (lihat ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +CATATAN: dalam mode gradio/gui, untuk membatalkan konversi yang sedang berjalan, cukup klik [X] dari komponen unggah eBook. +TIPS: jika perlu jeda lebih lama, tambahkan '[pause:3]' untuk 3 dtk. dll. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Suara Kloning +Anda dapat mengunggah audio suara apa pun dalam format audio yang didukung, durasi ideal adalah sekitar 1 hingga 5 mn. +Tidak masalah jika rekaman memiliki latar belakang berisik atau musik yang diputar di atasnya — E2A akan membersihkan suara untuk Anda. + +Daftar suara kloning bawaan terutama dalam bahasa Inggris. Jika Anda membutuhkan suara dalam bahasa lain untuk secara resmi +ditambahkan ke daftar, silakan hubungi kami dan kami akan menambahkannya setelah ditinjau. + +## Model TTS yang Disetel Halus (fine-tuned) +#### Setel Halus model XTTSv2 Anda sendiri + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Menghilangkan derau dari data pelatihan + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Koleksi Model TTS yang Disetel Halus + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Untuk model kustom XTTSv2, klip audio referensi dari suara referensi wajib ada: + +## Kustomisasi Ebook2Audiobook Anda sendiri +Anda bebas memodifikasi libs/conf.py untuk menambah atau menghapus pengaturan yang Anda inginkan. Jika Anda berencana melakukannya, cukup buat +salinan conf.py asli sehingga pada setiap pembaruan ebook2audiobook Anda akan mencadangkan conf.py yang dimodifikasi dan mengembalikan +yang asli. Anda harus merencanakan proses yang sama untuk models.py. Jika Anda ingin menjadikan model kustom Anda sendiri +sebagai model ebook2audiobook resmi yang disetel halus, silakan hubungi kami dan kami akan menambahkannya ke daftar preset. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Masalah Umum: +- GPU NVIDIA/ROCm/XPU/MPS saya tidak terdeteksi?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU lambat (lebih baik di CPU smp server) sementara GPU dapat melakukan konversi hampir waktu nyata. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Namun ia tidak memiliki kloning suara zero-shot, dan merupakan suara berkualitas Siri, tetapi jauh lebih cepat di cpu). +- "Saya mengalami masalah dependensi" - Cukup gunakan docker, sepenuhnya mandiri dan memiliki mode headless, + tambahkan parameter `--help` di akhir perintah docker run untuk informasi lebih lanjut. +- "Saya mendapat masalah audio terpotong!" - HARAP BUAT ISSUE TENTANG INI, + kami tidak berbicara setiap bahasa dan memerlukan saran dari pengguna untuk menyetel halus logika pemisahan kalimat.😊 + +## ***** PETA JALAN ***** +- Semua Fitur terbuka untuk Kontribusi publik ⭐ +- Bantuan apa pun dari orang yang berbicara salah satu bahasa yang didukung untuk membantu kami meningkatkan model ⭐ +- [x] Pratinjau Blok/Bab sebelum memulai konversi +- [ ] Edit per kalimat yang dikonversi untuk perubahan teks yang presisi +- [x] Integrasi tag SML untuk suara, jeda, hentian, dan lebih banyak perubahan +- [x] Info parameter -h -help dalam berbagai bahasa +- [x] Pemindaian OCR untuk PDF / JPG / BMP / PNG / TIFF +- [x] Folder Notebook [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Membuat pemisahan teks Tiongkok tidak memisahkan kata dan meningkatkan pengaturan waktu jeda [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integrasi Audiobookshelf +- [ ] [Membuat aplikasi IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Membuat aplikasi android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Opsi Tambahan +- [x] Opsi Terjemahan eBook +- [x] Pilihan format keluaran +- [x] Folder eBook batch +- [x] Konversi multiproses +- [x] Konversi folder eBook batch +- [x] Deteksi Perangkat GPU +- [x] Menghilangkan derau dari audio referensi apa pun untuk unggah kloning suara, +- [x] Unggah model kustom (hanya XTTSv2 untuk saat ini. lebih banyak atas permintaan) +- [ ] Menambahkan model bahasa Portugis Eropa setidaknya untuk xttsv2, fairseq, vits, piper (bantuan dipersilakan) +- [ ] Menambahkan model bahasa Sindhi setidaknya untuk xttsv2, fairseq, vits, piper (bantuan dipersilakan) + +#### Mesin tts +- [x] XTTSv2 +- [x] Gonggong +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Kura-kura +- [x] GlowTTS +- [x] Piper +- [ ] GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish - speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5 - tts (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonik (https://github.com/supertone-inc/supertonic) +- [ ] Spark - tts (https://github.com/sparkaudio/spark-tts) +- [ ] index - tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro - tts (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style - tts2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus - tts (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3 - tts (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Terjemahan Readme +- [x] Arab (ara) +- [x] Bahasa Mandarin (zho) +- [x] English (eng) +- [x] Spanyol (spa) +- [x] Prancis (fra) +- [x] Jerman (deu) +- [x] Italia (ita) +- [x] Portugis (por) +- [x] Polandia (pol) +- [x] Turki (tur) +- [x] Rusia (rus) +- [x] Belanda (nld) +- [x] Ceko (ces) +- [x] Jepang (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Hungaria (hun) +- [x] Korea (kor) +- [x] Vietnam (vie) +- [x] Swedia (swe) +- [x] Persia (fas) +- [x] Yoruba (tahun) +- [x] Swahili (swa) +- [x] Bahasa Indonesia (ind) +- [x] Slowakia (slk) +- [x] Kroasia (hrv) + +#### 🐍 Kompatibilitas OS +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Ekstra Berlebihan untuk melatih model dan semacamnya (Semua model Coqui-tts yang didukung dan piper-tts dalam satu perintah mudah) +- Untuk info tentang ini @DrewThomasson, dia saat ini sedang mengerjakan pengembangannya, [repo dalam pengerjaan di sini](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Membuat gui pelatihan yang mudah digunakan untuk semua model coqui-tts dalam resep pelatihan format ljspeech [di sini dari coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informasi normalisasi Kode Python untuk kontributor +- tidak ada baris kosong di antara kode, kecuali di antara fungsi dan kelas. +- tanda kutip tunggal digunakan untuk semua kunci kecuali untuk dict() dan json. dict['key'] selalu dipanggil dengan tanda kutip tunggal +- indentasi 4 spasi, sama sekali bukan tab +- pengetikan ketat untuk semua fungsi serta deklarasi argumen dan nilai kembaliannya +- tidak ada spasi antara argumen dan pengetikannya, tidak ada spasi antara fungsi, "->" dan nilai kembalian + +Contoh: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Donasi perangkat keras untuk uji beta dicari +Kami menerima segala jenis perangkat keras untuk menguji pengembangan kami seperti: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson jika Anda ingin membantu dengan cara apa pun! 😃 +<!-- +## Apakah Anda perlu menyewa GPU untuk meningkatkan layanan dari kami? +- Sebuah jajak pendapat dibuka di sini https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Terima Kasih Khusus +Kepada semua kontributor keuangan dan kode, setiap kontribusi dan saran membantu meningkatkan kualitas E2A. \ No newline at end of file diff --git a/readme/README_ita.md b/readme/README_ita.md new file mode 100644 index 0000000..8aff5f8 --- /dev/null +++ b/readme/README_ita.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Convertitore CPU/GPU da e-book ad audiolibro con capitoli e metadati<br/> +utilizzando motori TTS avanzati e molto altro.<br/> +Supporta la clonazione vocale e 1158 lingue! +> [!IMPORTANT] +**Questo strumento è destinato all'uso esclusivamente con e-book privi di DRM e acquisiti legalmente.** <br> +Gli autori non sono responsabili di alcun uso improprio di questo software né di eventuali conseguenze legali. <br> +Utilizza questo strumento in modo responsabile e nel rispetto di tutte le leggi vigenti. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Grazie per il supporto agli sviluppatori di ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Esecuzione locale + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Esecuzione da remoto +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Interfaccia grafica (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Clicca per vedere le immagini della GUI web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demo + +**Demo della nuova voce predefinita** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Altre demo</summary> + +**Voce ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Voce giorno di pioggia** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Voce Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Voce David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Esempio** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Indice +- [ebook2audiobook](#-ebook2audiobook) +- [Funzionalità](#features) +- [Interfaccia grafica](#gui-interface) +- [Demo](#demos) +- [Lingue supportate](#supported-languages) +- [Requisiti minimi](#hardware-requirements) +- [Utilizzo](#instructions) + - [Esecuzione locale](#instructions) + - [Avvio dell'interfaccia web Gradio](#instructions) + - [Utilizzo di base in modalità headless](#basic-usage) + - [Utilizzo di un modello XTTS personalizzato in modalità headless](#example-of-custom-model-zip-upload) + - [Output del comando di aiuto](#help-command-output) + - [Esecuzione da remoto](#run-remotely) + - [Docker](#docker) + - [Passaggi per l'esecuzione](#docker) + +- [Cloned Voices](#cloned-voices) +- [Modelli TTS ottimizzati](#fine-tuned-tts-models) + - [Collezione di modelli TTS ottimizzati](#fine-tuned-tts-collection) + - [Addestrare XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Formati di e-book supportati](#supported-ebook-formats) +- [Formati di output](#output-and-process-formats) +- [Tornare a una versione precedente](#reverting-to-older-versions) +- [Problemi comuni](#common-issues) +- [Ringraziamenti speciali](#special-thanks) +- [Indice](#table-of-contents) + + +## Funzionalità +- 🔧 **Motori TTS supportati**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convertire più formati di file**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Area di testo** per convertire direttamente un breve testo in audio +- 🔍 **Scansione OCR** per file con pagine di testo sotto forma di immagini +- 🔊 **Sintesi vocale di alta qualità**, dal quasi tempo reale a una voce quasi reale +- 🗣️ **Clonazione vocale opzionale** utilizzando il tuo file vocale +- 🌐 **Supporta 1158 lingue** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Adatto a risorse limitate** — funziona con **2 GB di RAM / 1 GB di VRAM (minimo)** +- 🎵 **Formati di output dell'audiolibro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Tag SML supportati** — controllo granulare di interruzioni, pause, cambio voce e altro ([see below](#sml-tags-available)) +- 🧩 **Modello personalizzato opzionale** utilizzando il tuo modello addestrato (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Modelli preset ottimizzati** addestrati dal team E2A<br/> + <i>(Contattaci se hai bisogno di modelli ottimizzati aggiuntivi, o se desideri condividere i tuoi nell'elenco ufficiale dei preset)</i> + + +## Requisiti hardware +- 2 GB di RAM min., 8 GB consigliati. +- 1 GB di VRAM min., 4 GB consigliati. +- Virtualizzazione abilitata se eseguito su Windows (solo Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> I moderni motori TTS sono molto lenti su CPU, quindi usa TTS di qualità inferiore come YourTTS, Tacotron2 ecc.</i> + +## Lingue supportate +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 lingue e dialetti qui**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Formati di e-book supportati +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Risultati migliori**: `.epub` o `.mobi` per il rilevamento automatico dei capitoli + +## Formati di output e di elaborazione +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Il formato di elaborazione può essere modificato in lib/conf.py + +## Tag SML disponibili +- `[break]` — silenzio (intervallo casuale **0.3–0.6 sec.**) +- `[pause]` — silenzio (intervallo casuale **1.0–1.6 sec.**) +- `[pause:N]` — pausa fissa (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — cambiare voce rispetto alla voce predefinita o selezionata da GUI/CLI + +**Dai un'occhiata al nostro altro repo dedicato all'aggiunta automatica di SML nel tuo e-book -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Prima di pubblicare un problema di installazione o un bug, cerca attentamente nella scheda dei problemi aperti e chiusi<br> +per essere sicuro che il tuo problema non esista già.** + +>[!NOTE] +**Il formato EPUB è privo di qualsiasi struttura standard che definisca cosa sia un capitolo, un paragrafo, una prefazione, ecc.<br> +Quindi dovresti prima rimuovere manualmente qualsiasi testo che non vuoi convertire in audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Installa / Esegui ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Launcher per Mac** + Fai doppio clic su `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Nota per gli utenti Windows: scoop viene installato per installare i programmi mancanti senza privilegi di amministratore.</i> + +1. **Apri la Web App**: Clicca sull'URL fornito nel terminale per accedere alla web app e convertire gli e-book. `http://localhost:7860/` +2. **Per un link pubblico**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Se lo script viene interrotto e rieseguito, devi aggiornare la tua interfaccia grafica Gradio<br> +per consentire alla pagina web di riconnettersi al nuovo socket di connessione.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Percorso del tuo file e-book + - **[--voice]**: Percorso del file per la clonazione vocale (opzionale) + - **[--language]**: Codice della lingua in ISO-639-3 (es.: ita per italiano, eng per inglese, deu per tedesco...).<br> + La lingua predefinita è eng e --language è opzionale per la lingua predefinita impostata in ./lib/lang.py.<br> + Sono supportati anche i codici ISO-639-1 a 2 lettere. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Percorso del file `model_name.zip`, + che deve contenere (a seconda del motore TTS) tutti i file obbligatori<br> + (vedi ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTA: in modalità gradio/gui, per annullare una conversione in corso, basta cliccare sulla [X] del componente di caricamento dell'e-book. +SUGGERIMENTO: se serve qualche pausa in più, aggiungi '[pause:3]' per 3 sec., ecc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Voci clonate +È possibile caricare qualsiasi audio vocale in uno qualsiasi dei formati audio supportati, la durata ideale è di circa 1-5 minuti. +Non importa se la registrazione ha uno sfondo rumoroso o se la musica viene riprodotta su di essa: E2A ripulirà la voce per te. + +L'elenco delle voci clonate integrate è principalmente in inglese. Se hai bisogno che le voci in altre lingue siano ufficialmente +aggiunto all'elenco, ti preghiamo di contattarci e li aggiungeremo dopo averlo esaminato. + +## Modelli TTS ottimizzati (fine-tuned) +#### Ottimizza il tuo modello XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Rimuovere il rumore dai dati di addestramento + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Collezione di modelli TTS ottimizzati + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Per un modello personalizzato XTTSv2 è obbligatorio un clip audio di riferimento della voce: + +## La tua personalizzazione di Ebook2Audiobook +Sei libero di modificare libs/conf.py per aggiungere o rimuovere le impostazioni che desideri. Se intendi farlo, crea semplicemente +una copia del conf.py originale così che, a ogni aggiornamento di ebook2audiobook, tu possa salvare il tuo conf.py modificato e ripristinare +quello originale. Devi pianificare lo stesso processo per models.py. Se desideri rendere il tuo modello personalizzato +un modello ottimizzato ufficiale di ebook2audiobook, contattaci e lo aggiungeremo all'elenco dei preset. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Problemi comuni: +- La mia GPU NVIDIA/ROCm/XPU/MPS non viene rilevata?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- La CPU è lenta (meglio su una CPU SMP da server) mentre la GPU può ottenere una conversione quasi in tempo reale. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Non ha però la clonazione vocale zero-shot, e le voci sono di qualità Siri, ma è molto più veloce su CPU). +- «Ho problemi di dipendenze» - Usa semplicemente Docker, è completamente autonomo e ha una modalità headless, + aggiungi il parametro `--help` alla fine del comando docker run per maggiori informazioni. +- «Ho un problema di audio troncato!» - PER FAVORE APRI UN ISSUE A RIGUARDO, + non parliamo tutte le lingue e abbiamo bisogno dei consigli degli utenti per perfezionare la logica di divisione delle frasi.😊 + +## ***** ROADMAP ***** +- Tutte le funzionalità aperte ai contributi pubblici ⭐ +- Qualsiasi aiuto da parte di persone che parlano una delle lingue supportate per aiutarci a migliorare i modelli ⭐ +- [x] Anteprima di blocchi/capitoli prima di avviare la conversione +- [ ] Modifica per frase convertita per un cambiamento chirurgico del testo +- [x] Integrazione dei tag SML per voce, pausa, interruzione e altre modifiche +- [x] Informazioni sui parametri -h -help in diverse lingue +- [x] Scansione OCR per PDF / JPG / BMP / PNG / TIFF +- [x] Cartella dei notebook [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Fare in modo che la divisione del testo cinese non spezzi le parole e migliorare la sincronizzazione delle pause [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integrazione con Audiobookshelf +- [ ] [Creare un'app per iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Creare un'app per Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Opzioni aggiuntive +- [x] Opzione di traduzione dell'e-book +- [x] Scelte del formato di output +- [x] Cartella di e-book in batch +- [x] Conversione con multiprocessing +- [x] Conversione in batch di una cartella di e-book +- [x] Rilevamento del dispositivo GPU +- [x] Rimuovere il rumore da qualsiasi audio di riferimento per la clonazione vocale caricata, +- [x] Caricamento di modello personalizzato (solo XTTSv2 per ora. altri su richiesta) +- [ ] Aggiungere un modello linguistico portoghese europeo almeno per xttsv2, fairseq, vits, piper (aiuto benvenuto) +- [ ] Aggiungere un modello linguistico sindhi almeno per xttsv2, fairseq, vits, piper (aiuto benvenuto) + +#### Motori TTS +- [x] XTTSv2 +- [x] Corteccia +- [x] Fairseq +- [x] VITS +- [x] Tacotrone2 +- [x] YourTTS +- [x] Testuggine +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zoni (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Traduzione del Readme +- [x] Arabo (ara) +- [x] Cinese (zho) +- [x] English (eng) +- [x] Spagnolo (spa) +- [x] Francese (fra) +- [x] Tedesco (deu) +- [x] Italiano (ita) +- [x] Portoghese (POR) +- [x] Polacco (pol) +- [x] Turco (tur) +- [x] Russo (rus) +- [x] Olandese (nld) +- [x] Ceco (ces) +- [x] Giapponese (jpn) +- [x] Hindi (hin) +- [x] Bengalese (ben) +- [x] Ungherese (hun) +- [x] Coreano (kor) +- [x] Vietnamita (vie) +- [x] Svedese (swe) +- [x] Persiano (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesiano (ind) +- [x] Slovacco (slk) +- [x] Croato (hrv) + +#### 🐍 Compatibilità con i sistemi operativi +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra esagerato per addestrare modelli e simili (tutti i modelli Coqui-tts supportati e piper-tts in un unico semplice comando) +- Per informazioni a riguardo @DrewThomasson, attualmente sta lavorando al suo sviluppo, [repo work-in-progress qui](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Creare una GUI di addestramento facile da usare per tutti i modelli coqui-tts nelle ricette di addestramento in formato ljspeech [qui da coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informazioni sulla normalizzazione del codice Python per i contributori +- nessuna riga vuota tra il codice, tranne tra funzioni e classi. +- apice singolo usato per tutte le chiavi tranne che per dict() e json. dict['key'] sempre richiamato con apice singolo +- indentazione di 4 spazi, nessuna tabulazione +- tipizzazione rigorosa per tutte le funzioni e per la dichiarazione dei loro argomenti e valori di ritorno +- nessuno spazio tra l'argomento e la sua tipizzazione, nessuno spazio tra la funzione, il «->» e il valore di ritorno + +Esempio: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Cercasi donazione di hardware per i beta test +Accettiamo qualsiasi tipo di hardware per testare il nostro sviluppo, come: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson se vuoi dare una mano in qualsiasi modo! 😃 +<!-- +## Hai bisogno di noleggiare una GPU per potenziare il nostro servizio? +- È aperto un sondaggio qui https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Ringraziamenti speciali +A tutti i contributori finanziari e di codice, ogni contributo e suggerimento aiuta a migliorare la qualità di E2A. \ No newline at end of file diff --git a/readme/README_jpn.md b/readme/README_jpn.md new file mode 100644 index 0000000..ccddbee --- /dev/null +++ b/readme/README_jpn.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +電子書籍から章とメタデータ付きのオーディオブックへのCPU/GPUコンバーター<br/> +高度なTTSエンジンなどを使用。<br/> +音声クローンと1158言語に対応! +> [!IMPORTANT] +**このツールは、DRMフリーで合法的に取得された電子書籍でのみ使用することを目的としています。** <br> +作者は、このソフトウェアのいかなる誤用、またはそれに起因する法的結果について責任を負いません。 <br> +このツールは責任を持って、適用されるすべての法律に従って使用してください。 + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ebook2audiobookの開発者を支援していただきありがとうございます! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### ローカルで実行 + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### リモートで実行 +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### グラフィカルインターフェース(GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>WebのGUI画像を見るにはクリック</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## デモ + +**新しいデフォルト音声のデモ** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>その他のデモ</summary> + +**ASMR音声** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**雨の日の音声** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**スカーレットの音声** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**デイヴィッド・アッテンボローの音声** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**例** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## 目次 +- [ebook2audiobook](#-ebook2audiobook) +- [機能](#features) +- [グラフィカルインターフェース](#gui-interface) +- [デモ](#demos) +- [対応言語](#supported-languages) +- [最小要件](#hardware-requirements) +- [使い方](#instructions) + - [ローカルで実行](#instructions) + - [Gradio Webインターフェースの起動](#instructions) + - [基本的なHeadlessの使い方](#basic-usage) + - [HeadlessでのカスタムXTTSモデルの使い方](#example-of-custom-model-zip-upload) + - [ヘルプコマンドの出力](#help-command-output) + - [リモートで実行](#run-remotely) + - [Docker](#docker) + - [実行手順](#docker) + +- [クローン音声](#cloned-voices) +- [ファインチューニング済みTTSモデル](#fine-tuned-tts-models) + - [ファインチューニング済みTTSモデルのコレクション](#fine-tuned-tts-collection) + - [XTTSv2の学習](#fine-tune-your-own-xttsv2-model) +- [対応する電子書籍形式](#supported-ebook-formats) +- [出力形式](#output-and-process-formats) +- [古いバージョンに戻す](#reverting-to-older-versions) +- [よくある問題](#common-issues) +- [特別な感謝](#special-thanks) +- [目次](#table-of-contents) + + +## 機能 +- 🔧 **対応TTSエンジン**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **複数のファイル形式を変換**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 短いテキストを直接音声に変換する**テキストエリア** +- 🔍 画像としてのテキストページを含むファイル向けの**OCRスキャン** +- 🔊 **高品質なテキスト読み上げ**、ほぼリアルタイムからほぼ本物の音声まで +- 🗣️ 独自の音声ファイルを使用した**任意の音声クローン** +- 🌐 **1158言語に対応** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **低リソースに優しい** — **2 GB RAM / 1 GB VRAM(最小)**で動作 +- 🎵 **オーディオブックの出力形式**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SMLタグ対応** — 中断、一時停止、音声切り替えなどのきめ細かな制御 ([see below](#sml-tags-available)) +- 🧩 独自の学習済みモデルを使用した**任意のカスタムモデル** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ E2Aチームによって学習された**ファインチューニング済みプリセットモデル**<br/> + <i>(追加のファインチューニング済みモデルが必要な場合、または公式プリセットリストにご自身のものを共有したい場合はご連絡ください)</i> + + +## ハードウェア要件 +- RAM 2GB以上、8GB推奨。 +- VRAM 1GB以上、4GB推奨。 +- Windowsで実行する場合は仮想化を有効化(Dockerのみ)。 +- CPU、XPU(intel、AMD、ARM)*。 +- CUDA、ROCm、JETSON +- MPS(Apple Silicon CPU) + +*<i> 最新のTTSエンジンはCPUで非常に遅いため、YourTTS、Tacotron2などの低品質のTTSを使用してください。</i> + +## 対応言語 +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130の言語と方言はこちら**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## 対応する電子書籍形式 +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **最良の結果**: 自動章検出には`.epub`または`.mobi` + +## 出力および処理形式 +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- 処理形式はlib/conf.pyで変更できます + +## 利用可能なSMLタグ +- `[break]` — 無音(ランダム範囲 **0.3–0.6 sec.**) +- `[pause]` — 無音(ランダム範囲 **1.0–1.6 sec.**) +- `[pause:N]` — 固定の一時停止(**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — デフォルトまたはGUI/CLIで選択した音声から音声を切り替え + +**電子書籍にSMLを自動的に追加することに特化した別のリポジトリをご覧ください -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**インストールやバグの問題を投稿する前に、未解決および解決済みの課題タブを注意深く検索してください<br> +あなたの問題がまだ存在しないことを確認するためです。** + +>[!NOTE] +**EPUB形式には、章、段落、序文などが何であるかを定義する標準的な構造がありません。<br> +そのため、まず音声に変換したくないテキストを手動で削除する必要があります。** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobookをインストール/実行**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Macランチャー** + `Mac Ebook2Audiobook Launcher.command`をダブルクリック + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windowsユーザーへの注意: 管理者権限なしで不足しているプログラムをインストールするためにscoopがインストールされます。</i> + +1. **Webアプリを開く**: ターミナルに表示されるURLをクリックして、Webアプリにアクセスし電子書籍を変換します。 `http://localhost:7860/` +2. **公開リンクの場合**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**スクリプトを停止して再実行した場合、Gradio GUIインターフェースを更新する必要があります<br> +Webページが新しい接続ソケットに再接続できるようにするためです。** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: 電子書籍ファイルへのパス + - **[--voice]**: 音声クローンファイルのパス(任意) + - **[--language]**: ISO-639-3形式の言語コード(例: イタリア語はita、英語はeng、ドイツ語はdeu...)。<br> + デフォルト言語はengで、--languageは./lib/lang.pyで設定されたデフォルト言語の場合は任意です。<br> + 2文字のISO-639-1コードも対応しています。 + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: `model_name.zip`ファイルへのパス、 + これは(ttsエンジンに応じて)すべての必須ファイルを含む必要があります<br> + (./lib/models.pyを参照)。 + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +注意: gradio/guiモードでは、実行中の変換をキャンセルするには、電子書籍アップロードコンポーネントの[X]をクリックするだけです。 +ヒント: もう少し長い間を入れたい場合は、3秒の場合'[pause:3]'を追加するなど。 + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## クローン音声 +サポートされているオーディオフォーマットのいずれかで任意のボイスオーディオをアップロードできます。理想的な長さは約1〜5分です。 +録音にノイズの多い背景や音楽が再生されているかどうかは関係ありません。E 2 Aが音声をクリーンアップします。 + +内蔵されているクローン音声リストは、主に英語です。他の言語での音声が正式に必要な場合 +リストに追加されました。お問い合わせください。審査後に追加させていただきます。 + +## ファインチューニング済み(fine-tuned)TTSモデル +#### 独自のXTTSv2モデルをファインチューニング + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### 学習データのノイズ除去 + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### ファインチューニング済みTTSモデルのコレクション + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +カスタムXTTSv2モデルには、音声の参照オーディオクリップが必須です: + +## 独自のEbook2Audiobookカスタマイズ +libs/conf.pyを自由に変更して、必要な設定を追加または削除できます。これを計画している場合は、単に +オリジナルのconf.pyのコピーを作成しておけば、ebook2audiobookを更新するたびに変更したconf.pyをバックアップし、 +オリジナルを元に戻すことができます。models.pyについても同じ手順を計画する必要があります。独自のカスタムモデルを +公式のファインチューニング済みebook2audiobookモデルにしたい場合は、ご連絡いただければプリセットリストに追加します。 + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## よくある問題: +- NVIDIA/ROCm/XPU/MPS GPUが検出されない?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPUは遅い(サーバーのSMP CPUの方が良い)一方、GPUはほぼリアルタイムの変換が可能です。 + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (ただし、zero-shotの音声クローンはなく、Siri品質の音声ですが、cpuでははるかに高速です)。 +- 「依存関係の問題があります」 - 単にdockerを使ってください、完全に自己完結型でheadlessモードがあります、 + 詳細についてはdocker runコマンドの末尾に`--help`パラメータを追加してください。 +- 「音声が途切れる問題があります!」 - これについてISSUEを作成してください、 + 私たちはすべての言語を話せるわけではなく、文の分割ロジックを微調整するためにユーザーのアドバイスが必要です。😊 + +## ***** ロードマップ ***** +- すべての機能が公開された貢献に開かれています ⭐ +- モデルの改善に役立つよう、対応言語のいずれかを話す人々からのあらゆる支援 ⭐ +- [x] 変換を開始する前にブロック/章をプレビュー +- [ ] 外科的なテキスト変更のために変換された文ごとに編集 +- [x] 音声、一時停止、中断、その他の変更のためのSMLタグ統合 +- [x] さまざまな言語での-h -helpパラメータ情報 +- [x] PDF / JPG / BMP / PNG / TIFF向けのOCRスキャン +- [x] ノートブックフォルダ [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] 中国語のテキスト分割が単語を分割しないようにし、一時停止のタイミングを改善する [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggleノートブック +- [x] Google Colabノートブック +- [ ] Audiobookshelf統合 +- [ ] [iOSアプリを作成](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [androidアプリを作成](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### 追加オプション +- [x] 電子書籍翻訳オプション +- [x] 出力形式の選択 +- [x] バッチ電子書籍フォルダ +- [x] マルチプロセス変換 +- [x] バッチ電子書籍フォルダ変換 +- [x] GPUデバイス検出 +- [x] アップロードされた音声クローン用に任意の参照オーディオをノイズ除去、 +- [x] カスタムモデルのアップロード(今のところXTTSv2のみ。ご要望に応じて追加) +- [ ] 少なくともxttsv2、fairseq、vits、piper向けにヨーロッパポルトガル語の言語モデルを追加(支援歓迎) +- [ ] 少なくともxttsv2、fairseq、vits、piper向けにシンド語の言語モデルを追加(支援歓迎) + +#### TTSエンジン +- [x] XTTSv 2 +- [x] バーク尺度 +- [x] フェアセック +- [x] VITS +- [x] Tacotron 2 +- [x] YourTTS +- [x] リクガメ科 +- [x] GlowTTS +- [x] パイパー +- [ ] GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish - speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F 5 - TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark - TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro - TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] ZONOS (https://github.com/Zyphra/Zonos) +- [ ] Style - TTS 2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus - TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen 3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readmeの翻訳 +- [x] アラビア語(ara) +- [x] 中国語(zho) +- [x] English (eng) +- [x] スペイン語(スパ) +- [x] フランス語(fra) +- [x] ドイツ語(DEU) +- [x] イタリア語(ita) +- [x] ポルトガル語(ポーランド) +- [x] ポーランド語(pol) +- [x] トルコ語(TUR) +- [x] ロシア語(rus) +- [x] オランダ語(nld) +- [x] チェコ語(ces) +- [x] 日本語(jpn) +- [x] ヒンディー語(HIN) +- [x] ベンガル語(ベン) +- [x] ハンガリー語(HUN) +- [x] 韓国語(kor) +- [x] ベトナム語(VIE) +- [x] スウェーデン語(スウェーデン) +- [x] ペルシャ語(fas) +- [x] ヨルバ語(yor) +- [x] スワヒリ語(swa) +- [x] インドネシア語(インド) +- [x] スロバキア語(SLK) +- [x] クロアチア語(hrv) + +#### 🐍 OS互換性 +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## モデルの学習などのための追加のオーバーキル(対応するすべてのCoqui-ttsモデルとpiper-ttsを1つの簡単なコマンドで) +- これに関する情報は@DrewThomasson、彼は現在この開発に取り組んでいます、[作業中のリポジトリはこちら](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ljspeech形式の学習レシピですべてのcoqui-ttsモデル向けに使いやすい学習用guiを作成する [coqui ttsからこちら](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## 貢献者向けPythonコード正規化情報 +- 関数とクラスの間を除いて、コード間に空行なし。 +- dict()とjsonを除くすべてのキーに単一引用符を使用。dict['key']は常に単一引用符で呼び出す +- 4スペースのインデント、タブはまったく使わない +- すべての関数とその引数および戻り値の宣言に対する厳密な型付け +- 引数とその型付けの間にスペースなし、関数、「->」、戻り値の間にスペースなし + +例: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## ベータテスト用のハードウェア寄付を募集 +開発のテストのために、以下のようなあらゆる種類のハードウェアを受け付けています: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson どんな形でも手伝いたい方は! 😃 +<!-- +## 当サービスを強化するためにGPUをレンタルする必要がありますか? +- アンケートはこちらで公開されています https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## 特別な感謝 +すべての財務およびコード貢献者にとって、それぞれの貢献と提案はE 2 Aの品質を向上させるのに役立ちます。 \ No newline at end of file diff --git a/readme/README_kor.md b/readme/README_kor.md new file mode 100644 index 0000000..32500d9 --- /dev/null +++ b/readme/README_kor.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +전자책을 챕터 및 메타데이터가 포함된 오디오북으로 변환하는 CPU/GPU 변환기<br/> +고급 TTS 엔진 등을 사용합니다.<br/> +음성 복제와 1158개 언어를 지원합니다! +> [!IMPORTANT] +**이 도구는 DRM이 없고 합법적으로 취득한 전자책에만 사용하도록 만들어졌습니다.** <br> +저작자는 이 소프트웨어의 어떠한 오용이나 그로 인한 법적 결과에 대해 책임지지 않습니다. <br> +이 도구를 책임감 있게, 그리고 적용 가능한 모든 법률을 준수하여 사용하십시오. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ebook2audiobook 개발자를 지원해 주셔서 감사합니다! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### 로컬에서 실행 + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### 원격으로 실행 +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### 그래픽 인터페이스(GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>웹 GUI 이미지를 보려면 클릭하세요</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## 데모 + +**새로운 기본 음성 데모** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>추가 데모</summary> + +**ASMR 음성** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**비 오는 날 음성** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**스칼렛 음성** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**데이비드 애튼버러 음성** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**예시** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## 목차 +- [ebook2audiobook](#-ebook2audiobook) +- [기능](#features) +- [그래픽 인터페이스](#gui-interface) +- [데모](#demos) +- [지원 언어](#supported-languages) +- [최소 요구 사항](#hardware-requirements) +- [사용법](#instructions) + - [로컬에서 실행](#instructions) + - [Gradio 웹 인터페이스 실행](#instructions) + - [기본 Headless 사용법](#basic-usage) + - [Headless 커스텀 XTTS 모델 사용법](#example-of-custom-model-zip-upload) + - [도움말 명령 출력](#help-command-output) + - [원격으로 실행](#run-remotely) + - [Docker](#docker) + - [실행 단계](#docker) + +- [Cloned Voices](#cloned-voices) +- [미세 조정된 TTS 모델](#fine-tuned-tts-models) + - [미세 조정된 TTS 모델 모음](#fine-tuned-tts-collection) + - [XTTSv2 학습](#fine-tune-your-own-xttsv2-model) +- [지원되는 전자책 형식](#supported-ebook-formats) +- [출력 형식](#output-and-process-formats) +- [이전 버전으로 되돌리기](#reverting-to-older-versions) +- [일반적인 문제](#common-issues) +- [특별히 감사드립니다](#special-thanks) +- [목차](#table-of-contents) + + +## 기능 +- 🔧 **지원되는 TTS 엔진**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **여러 파일 형식 변환**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 짧은 텍스트를 직접 오디오로 변환하는 **텍스트 영역** +- 🔍 이미지로 된 텍스트 페이지가 있는 파일을 위한 **OCR 스캔** +- 🔊 **고품질 텍스트 음성 변환**, 거의 실시간부터 거의 실제 음성까지 +- 🗣️ 자신의 음성 파일을 사용한 **선택적 음성 복제** +- 🌐 **1158개 언어 지원** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **저사양 친화적** — **2 GB RAM / 1 GB VRAM(최소)**에서 실행 +- 🎵 **오디오북 출력 형식**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML 태그 지원** — 중단, 멈춤, 음성 전환 등의 세밀한 제어 ([see below](#sml-tags-available)) +- 🧩 자신이 학습한 모델을 사용한 **선택적 커스텀 모델** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ E2A 팀이 학습한 **미세 조정된 프리셋 모델**<br/> + <i>(추가 미세 조정된 모델이 필요하거나, 공식 프리셋 목록에 자신의 모델을 공유하고 싶으시면 저희에게 연락하세요)</i> + + +## 하드웨어 요구 사항 +- RAM 2GB 최소, 8GB 권장. +- VRAM 1GB 최소, 4GB 권장. +- Windows에서 실행하는 경우 가상화 활성화(Docker 전용). +- CPU, XPU(intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS(Apple Silicon CPU) + +*<i> 최신 TTS 엔진은 CPU에서 매우 느리므로 YourTTS, Tacotron2 등 더 낮은 품질의 TTS를 사용하세요.</i> + +## 지원 언어 +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130개 언어 및 방언은 여기에서**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## 지원되는 전자책 형식 +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **최상의 결과**: 자동 챕터 감지에는 `.epub` 또는 `.mobi` + +## 출력 및 처리 형식 +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- 처리 형식은 lib/conf.py에서 변경할 수 있습니다 + +## 사용 가능한 SML 태그 +- `[break]` — 무음(무작위 범위 **0.3–0.6 sec.**) +- `[pause]` — 무음(무작위 범위 **1.0–1.6 sec.**) +- `[pause:N]` — 고정 멈춤(**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — 기본 음성 또는 GUI/CLI에서 선택한 음성에서 음성 전환 + +**전자책에 SML을 자동으로 추가하는 데 전념하는 다른 저장소를 확인하세요 -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**설치 또는 버그 문제를 게시하기 전에, 열린 문제와 닫힌 문제 탭을 주의 깊게 검색하여<br> +귀하의 문제가 아직 존재하지 않는지 확인하십시오.** + +>[!NOTE] +**EPUB 형식에는 챕터, 단락, 서문 등이 무엇인지 정의하는 어떠한 표준 구조도 없습니다.<br> +따라서 먼저 오디오로 변환하고 싶지 않은 텍스트를 수동으로 제거해야 합니다.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook 설치 / 실행**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac 런처** + `Mac Ebook2Audiobook Launcher.command`를 더블 클릭하세요 + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windows 사용자 참고: 관리자 권한 없이 누락된 프로그램을 설치하기 위해 scoop이 설치됩니다.</i> + +1. **웹 앱 열기**: 터미널에 제공된 URL을 클릭하여 웹 앱에 접속하고 전자책을 변환하세요. `http://localhost:7860/` +2. **공개 링크의 경우**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**스크립트를 중지하고 다시 실행하면 Gradio GUI 인터페이스를 새로 고쳐야 합니다<br> +웹 페이지가 새로운 연결 소켓에 다시 연결될 수 있도록 하기 위해서입니다.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: 전자책 파일의 경로 + - **[--voice]**: 음성 복제 파일 경로(선택 사항) + - **[--language]**: ISO-639-3 형식의 언어 코드(예: 이탈리아어는 ita, 영어는 eng, 독일어는 deu...).<br> + 기본 언어는 eng이며, ./lib/lang.py에 설정된 기본 언어의 경우 --language는 선택 사항입니다.<br> + 2글자 ISO-639-1 코드도 지원됩니다. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: `model_name.zip` 파일의 경로, + 이 파일은 (tts 엔진에 따라) 모든 필수 파일을 포함해야 합니다<br> + (./lib/models.py 참조). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +참고: gradio/gui 모드에서 진행 중인 변환을 취소하려면 전자책 업로드 구성 요소의 [X]를 클릭하기만 하면 됩니다. +팁: 좀 더 긴 멈춤이 필요하면 3초의 경우 '[pause:3]'을 추가하는 등. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## 복제된 음성 +지원되는 오디오 형식으로 모든 음성 오디오를 업로드할 수 있으며, 이상적인 지속 시간은 약 1 ~ 5분입니다. +녹음에 시끄러운 배경이 있거나 음악이 재생되는지 여부는 중요하지 않습니다. E2A가 음성을 정리합니다. + +내장된 복제된 음성 목록은 주로 영어로 되어 있습니다. 공식적으로 사용하려면 다른 언어로 된 목소리가 필요한 경우 +목록에 추가되었습니다. 문의해 주시면 검토 후 추가해 드리겠습니다. + +## 미세 조정된(fine-tuned) TTS 모델 +#### 자신만의 XTTSv2 모델을 미세 조정하세요 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### 학습 데이터의 노이즈 제거 + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### 미세 조정된 TTS 모델 모음 + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +커스텀 XTTSv2 모델의 경우 음성의 참조 오디오 클립이 필수입니다: + +## 자신만의 Ebook2Audiobook 사용자 정의 +원하는 설정을 추가하거나 제거하기 위해 libs/conf.py를 자유롭게 수정할 수 있습니다. 이를 계획하고 있다면, 단순히 +원본 conf.py의 복사본을 만들어 두면 ebook2audiobook을 업데이트할 때마다 수정된 conf.py를 백업하고 원본을 +다시 되돌릴 수 있습니다. models.py에 대해서도 동일한 과정을 계획해야 합니다. 자신만의 커스텀 모델을 +공식 미세 조정된 ebook2audiobook 모델로 만들고 싶다면, 저희에게 연락해 주시면 프리셋 목록에 추가하겠습니다. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## 일반적인 문제: +- 내 NVIDIA/ROCm/XPU/MPS GPU가 감지되지 않나요?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU는 느립니다(서버 SMP CPU에서 더 좋음) 반면 GPU는 거의 실시간 변환이 가능합니다. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (하지만 zero-shot 음성 복제는 없으며 Siri 품질의 음성이지만 cpu에서 훨씬 빠릅니다). +- "종속성 문제가 있습니다" - 그냥 docker를 사용하세요, 완전히 독립적이며 headless 모드가 있습니다, + 자세한 정보는 docker run 명령 끝에 `--help` 매개변수를 추가하세요. +- "오디오가 잘리는 문제가 있습니다!" - 이에 대해 ISSUE를 작성해 주세요, + 저희는 모든 언어를 구사하지 못하며 문장 분할 로직을 미세 조정하기 위해 사용자의 조언이 필요합니다.😊 + +## ***** 로드맵 ***** +- 모든 기능이 공개 기여에 열려 있습니다 ⭐ +- 모델 개선을 돕기 위해 지원 언어 중 하나를 구사하는 사람들의 모든 도움 ⭐ +- [x] 변환을 시작하기 전에 블록/챕터 미리 보기 +- [ ] 정밀한 텍스트 변경을 위해 변환된 문장 단위로 편집 +- [x] 음성, 멈춤, 중단 및 추가 변경을 위한 SML 태그 통합 +- [x] 다양한 언어로 된 -h -help 매개변수 정보 +- [x] PDF / JPG / BMP / PNG / TIFF용 OCR 스캔 +- [x] 노트북 폴더 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] 중국어 텍스트 분할이 단어를 분리하지 않도록 하고 멈춤 타이밍 개선 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle 노트북 +- [x] Google Colab 노트북 +- [ ] Audiobookshelf 통합 +- [ ] [iOS 앱 만들기](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [android 앱 만들기](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### 추가 옵션 +- [x] 전자책 번역 옵션 +- [x] 출력 형식 선택 +- [x] 일괄 전자책 폴더 +- [x] 멀티프로세싱 변환 +- [x] 일괄 전자책 폴더 변환 +- [x] GPU 장치 감지 +- [x] 업로드된 음성 복제를 위해 모든 참조 오디오의 노이즈 제거, +- [x] 커스텀 모델 업로드(현재로서는 XTTSv2만. 요청 시 추가) +- [ ] 최소한 xttsv2, fairseq, vits, piper용 유럽 포르투갈어 언어 모델 추가(도움 환영) +- [ ] 최소한 xttsv2, fairseq, vits, piper용 신디어 언어 모델 추가(도움 환영) + +#### TTS 엔진 +- [x] XTTSv2 +- [x] 나무껍질 +- [x] 페어섹 +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] 땅거북과 +- [x] GlowTTS +- [x] 바람등칡속 +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] 초음파 (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] 스타일-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme 번역 +- [x] 아랍어 (ara) +- [x] 중국어 (zho) +- [x] English (eng) +- [x] 스페인어 (스파) +- [x] French (fra) +- [x] 독일어 (deu) +- [x] 이탈리아어 (ita) +- [x] 포르투갈어 (por) +- [x] 폴란드어 (pol) +- [x] 터키어 (tur) +- [x] 러시아어 (rus) +- [x] 네덜란드어 (nld) +- [x] 체코어 (ces) +- [x] 일본어 (jpn) +- [x] 힌디어 (HIN) +- [x] 벵골어 (ben) +- [x] 헝가리어 (훈) +- [x] 한국어 (kor) +- [x] 베트남어 (VIE) +- [x] 스웨덴어 (swe) +- [x] 페르시아어 (fas) +- [x] 요루바어 (yor) +- [x] 스와힐리어 (swa) +- [x] 인도네시아어 (인도) +- [x] 슬로바키아어 (slk) +- [x] 크로아티아어 (HRV) + +#### 🐍 OS 호환성 +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## 모델 학습 등을 위한 추가적인 오버킬(지원되는 모든 Coqui-tts 모델과 piper-tts를 하나의 쉬운 명령으로) +- 이에 관한 정보는 @DrewThomasson, 그가 현재 이것의 개발을 진행하고 있습니다, [작업 중인 저장소는 여기](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ljspeech 형식의 학습 레시피에서 모든 coqui-tts 모델을 위한 사용하기 쉬운 학습 gui 만들기 [coqui tts에서 여기](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## 기여자를 위한 Python 코드 정규화 정보 +- 함수와 클래스 사이를 제외하고 코드 사이에 빈 줄 없음. +- dict()와 json을 제외한 모든 키에 작은따옴표 사용. dict['key']는 항상 작은따옴표로 호출 +- 4칸 들여쓰기, 탭은 전혀 사용 안 함 +- 모든 함수와 그 인수 및 반환 값 선언에 대한 엄격한 타이핑 +- 인수와 그 타이핑 사이에 공백 없음, 함수, "->", 반환 값 사이에 공백 없음 + +예시: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## 베타 테스트를 위한 하드웨어 기부를 찾습니다 +다음과 같이 개발 테스트를 위한 모든 종류의 하드웨어를 받습니다: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson 어떤 식으로든 돕고 싶으시다면! 😃 +<!-- +## 저희 서비스를 강화하기 위해 GPU를 대여해야 하나요? +- 설문조사가 여기에서 열려 있습니다 https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## 특별히 감사드립니다 +모든 재정 및 코드 기여자에게 각 기여와 제안은 E2A의 품질을 개선하는 데 도움이 됩니다. \ No newline at end of file diff --git a/readme/README_nld.md b/readme/README_nld.md new file mode 100644 index 0000000..5a00878 --- /dev/null +++ b/readme/README_nld.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU-converter van e-book naar audioboek met hoofdstukken en metadata<br/> +met geavanceerde TTS-engines en nog veel meer.<br/> +Ondersteunt stemklonen en 1158 talen! +> [!IMPORTANT] +**Deze tool is uitsluitend bedoeld voor gebruik met DRM-vrije, legaal verkregen e-books.** <br> +De auteurs zijn niet verantwoordelijk voor enig misbruik van deze software of voor eventuele juridische gevolgen daarvan. <br> +Gebruik deze tool verantwoord en in overeenstemming met alle toepasselijke wetten. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Bedankt voor het steunen van de ontwikkelaars van ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Lokaal uitvoeren + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Op afstand uitvoeren +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafische interface (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Klik om afbeeldingen van de web-GUI te zien</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demo's + +**Demo van de nieuwe standaardstem** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Meer demo's</summary> + +**ASMR-stem** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Regenachtige-dag-stem** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett-stem** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough-stem** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Voorbeeld** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Inhoudsopgave +- [ebook2audiobook](#-ebook2audiobook) +- [Functies](#features) +- [Grafische interface](#gui-interface) +- [Demo's](#demos) +- [Ondersteunde talen](#supported-languages) +- [Minimale vereisten](#hardware-requirements) +- [Gebruik](#instructions) + - [Lokaal uitvoeren](#instructions) + - [De Gradio-webinterface starten](#instructions) + - [Basisgebruik in headless-modus](#basic-usage) + - [Gebruik van aangepast XTTS-model in headless-modus](#example-of-custom-model-zip-upload) + - [Uitvoer van het helpcommando](#help-command-output) + - [Op afstand uitvoeren](#run-remotely) + - [Docker](#docker) + - [Stappen om uit te voeren](#docker) + +- [Gekloonde stemmen](#cloned-voices) +- [Fijnafgestelde TTS-modellen](#fine-tuned-tts-models) + - [Collectie van fijnafgestelde TTS-modellen](#fine-tuned-tts-collection) + - [XTTSv2 trainen](#fine-tune-your-own-xttsv2-model) +- [Ondersteunde e-bookformaten](#supported-ebook-formats) +- [Uitvoerformaten](#output-and-process-formats) +- [Terugkeren naar een oudere versie](#reverting-to-older-versions) +- [Veelvoorkomende problemen](#common-issues) +- [Speciale dank](#special-thanks) +- [Inhoudsopgave](#table-of-contents) + + +## Functies +- 🔧 **Ondersteunde TTS-engines**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Meerdere bestandsformaten converteren**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Tekstvak** om direct een korte tekst naar audio te converteren +- 🔍 **OCR-scanning** voor bestanden met tekstpagina's als afbeeldingen +- 🔊 **Hoogwaardige tekst-naar-spraak**, van bijna realtime tot een bijna echte stem +- 🗣️ **Optioneel stemklonen** met je eigen stembestand +- 🌐 **Ondersteunt 1158 talen** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Geschikt voor beperkte middelen** — draait op **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Uitvoerformaten van het audioboek**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML-tags ondersteund** — nauwkeurige controle over onderbrekingen, pauzes, stemwisselingen en meer ([see below](#sml-tags-available)) +- 🧩 **Optioneel aangepast model** met je eigen getrainde model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Fijnafgestelde presetmodellen** getraind door het E2A-team<br/> + <i>(Neem contact met ons op als je extra fijnafgestelde modellen nodig hebt, of als je die van jou wilt delen op de officiële presetlijst)</i> + + +## Hardwarevereisten +- 2 GB RAM min., 8 GB aanbevolen. +- 1 GB VRAM min., 4 GB aanbevolen. +- Virtualisatie ingeschakeld bij gebruik op Windows (alleen Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon-CPU) + +*<i> Moderne TTS-engines zijn erg traag op de CPU, gebruik dus TTS van lagere kwaliteit zoals YourTTS, Tacotron2 enz.</i> + +## Ondersteunde talen +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 talen en dialecten hier**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Ondersteunde e-bookformaten +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Beste resultaten**: `.epub` of `.mobi` voor automatische hoofdstukdetectie + +## Uitvoer- en verwerkingsformaten +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Het verwerkingsformaat kan worden gewijzigd in lib/conf.py + +## Beschikbare SML-tags +- `[break]` — stilte (willekeurig bereik **0.3–0.6 sec.**) +- `[pause]` — stilte (willekeurig bereik **1.0–1.6 sec.**) +- `[pause:N]` — vaste pauze (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — wissel van stem ten opzichte van de standaard- of in de GUI/CLI geselecteerde stem + +**Bekijk onze andere repo die gewijd is aan het automatisch toevoegen van SML in je e-book -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Voordat je een installatie- of bugprobleem plaatst, zoek zorgvuldig in het tabblad met open en gesloten issues<br> +om er zeker van te zijn dat je probleem nog niet bestaat.** + +>[!NOTE] +**Het EPUB-formaat heeft geen enkele standaardstructuur die aangeeft wat een hoofdstuk, alinea, voorwoord enz. is.<br> +Daarom moet je eerst handmatig alle tekst verwijderen die je niet naar audio wilt converteren.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook installeren / uitvoeren**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac-launcher** + Dubbelklik op `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Opmerking voor Windows-gebruikers: scoop wordt geïnstalleerd om ontbrekende programma's te installeren zonder beheerdersrechten.</i> + +1. **Open de web-app**: Klik op de URL in de terminal om toegang te krijgen tot de web-app en e-books te converteren. `http://localhost:7860/` +2. **Voor een openbare link**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Als het script wordt gestopt en opnieuw uitgevoerd, moet je je Gradio-GUI-interface vernieuwen<br> +zodat de webpagina opnieuw verbinding kan maken met de nieuwe verbindings-socket.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Pad naar je e-bookbestand + - **[--voice]**: Bestandspad voor stemklonen (optioneel) + - **[--language]**: Taalcode in ISO-639-3 (bijv.: ita voor Italiaans, eng voor Engels, deu voor Duits...).<br> + De standaardtaal is eng en --language is optioneel voor de standaardtaal die is ingesteld in ./lib/lang.py.<br> + De 2-letterige ISO-639-1-codes worden ook ondersteund. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Pad naar het `model_name.zip`-bestand, + dat (afhankelijk van de TTS-engine) alle verplichte bestanden moet bevatten<br> + (zie ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +OPMERKING: in gradio/gui-modus klik je gewoon op de [X] van de e-book-uploadcomponent om een lopende conversie te annuleren. +TIP: als er wat meer pauze nodig is, voeg dan '[pause:3]' toe voor 3 sec. enz. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Gekloonde stemmen +U kunt spraakaudio uploaden in elk van de ondersteunde audioformaten, de ideale duur is ongeveer 1 tot 5 mn. +Het maakt niet uit of de opname een lawaaierige achtergrond heeft of dat er muziek overheen wordt afgespeeld — E2A zal de stem voor u opruimen. + +De ingebouwde lijst met gekloonde stemmen is voornamelijk in het Engels. Als u wilt dat stemmen in andere talen officieel worden +toegevoegd aan de lijst, neem dan contact met ons op en we zullen ze na beoordeling toevoegen. + +## Fijnafgestelde (fine-tuned) TTS-modellen +#### Stel je eigen XTTSv2-model fijn af + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Ruis verwijderen uit trainingsdata + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Collectie van fijnafgestelde TTS-modellen + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Voor een aangepast XTTSv2-model is een referentie-audiofragment van de stem verplicht: + +## Je eigen Ebook2Audiobook-aanpassing +Je bent vrij om libs/conf.py aan te passen om de gewenste instellingen toe te voegen of te verwijderen. Als je dit van plan bent, maak dan gewoon +een kopie van de originele conf.py, zodat je bij elke ebook2audiobook-update je gewijzigde conf.py kunt back-uppen en de +originele kunt terugzetten. Je moet hetzelfde proces plannen voor models.py. Als je van je eigen aangepaste model +een officieel fijnafgesteld ebook2audiobook-model wilt maken, neem dan contact met ons op en we voegen het toe aan de presetlijst. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Veelvoorkomende problemen: +- Mijn NVIDIA/ROCm/XPU/MPS-GPU wordt niet gedetecteerd?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- De CPU is traag (beter op een server-SMP-CPU), terwijl de GPU een bijna realtime conversie kan bereiken. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Het heeft echter geen zero-shot stemklonen, en de stemmen zijn van Siri-kwaliteit, maar het is veel sneller op de CPU). +- "Ik heb problemen met afhankelijkheden" - Gebruik gewoon Docker, het is volledig zelfstandig en heeft een headless-modus, + voeg de parameter `--help` toe aan het einde van het docker run-commando voor meer informatie. +- "Ik heb een probleem met afgekapte audio!" - MAAK HIER ALSJEBLIEFT EEN ISSUE VAN, + we spreken niet elke taal en hebben advies van gebruikers nodig om de logica voor het splitsen van zinnen te verfijnen.😊 + +## ***** ROADMAP ***** +- Alle functies open voor publieke bijdragen ⭐ +- Alle hulp van mensen die een van de ondersteunde talen spreken om ons te helpen de modellen te verbeteren ⭐ +- [x] Blokken/hoofdstukken bekijken voordat de conversie start +- [ ] Bewerken per geconverteerde zin voor chirurgische tekstwijziging +- [x] SML-tag-integratie voor stem, pauze, onderbreking en meer wijzigingen +- [x] Info over de parameters -h -help in verschillende talen +- [x] OCR-scanning voor PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks-map [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Ervoor zorgen dat het splitsen van Chinese tekst geen woorden splitst en de timing van pauzes verbeteren [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle-notebook +- [x] Google Colab-notebook +- [ ] Audiobookshelf-integratie +- [ ] [Een iOS-app maken](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Een Android-app maken](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Extra opties +- [x] Optie voor e-bookvertaling +- [x] Keuzes voor uitvoerformaat +- [x] Batch e-bookmap +- [x] Conversie met multiprocessing +- [x] Batchconversie van een e-bookmap +- [x] GPU-apparaatdetectie +- [x] Ruis verwijderen uit elke referentie-audio voor het uploaden van stemklonen, +- [x] Upload van aangepast model (voorlopig alleen XTTSv2. meer op aanvraag) +- [ ] Een Europees-Portugees taalmodel toevoegen voor ten minste xttsv2, fairseq, vits, piper (hulp welkom) +- [ ] Een Sindhi-taalmodel toevoegen voor ten minste xttsv2, fairseq, vits, piper (hulp welkom) + +#### TTS-motoren +- [x] XTTSv2 +- [x] Blaffen +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Schildpad +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] vis-spraak (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Stijl-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme-vertaling +- [x] Arabisch (ara) +- [x] Chinees (zho) +- [x] English (eng) +- [x] Spaans (spa) +- [x] Frans (fra) +- [x] Duits (deu) +- [x] Italiaans (ita) +- [x] Portugees (por) +- [x] Pools (pol) +- [x] Turks (tur) +- [x] Russisch (rus) +- [x] Nederlands (nld) +- [x] Tsjechisch (ces) +- [x] Japans (jpn) +- [x] Hindi (hin) +- [x] Bengaals (ben) +- [x] Hongaars (hun) +- [x] Koreaans (kor) +- [x] Vietnamees (Vie) +- [x] Zweeds (swe) +- [x] Perzisch (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesisch (ind) +- [x] Slowaaks (slk) +- [x] Kroatisch (hrv) + +#### 🐍 Compatibiliteit met besturingssystemen +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra overkill voor het trainen van modellen en dergelijke (alle ondersteunde Coqui-tts-modellen en piper-tts in één eenvoudige opdracht) +- Voor informatie hierover: @DrewThomasson werkt momenteel aan de ontwikkeling hiervan, [work-in-progress-repo hier](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Een gebruiksvriendelijke trainings-GUI maken voor alle coqui-tts-modellen in de ljspeech-formaat trainingsrecepten [hier van coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informatie over Python-codenormalisatie voor bijdragers +- geen lege regel tussen de code, behalve tussen functies en klassen. +- enkele aanhalingstekens gebruikt voor alle sleutels behalve voor dict() en json. dict['key'] altijd aangeroepen met enkele aanhalingstekens +- 4 spaties inspringing, helemaal geen tabs +- strikte typering voor alle functies en de declaratie van hun argumenten en retourwaarden +- geen spatie tussen het argument en de typering ervan, geen spatie tussen de functie, de "->" en de retourwaarde + +Voorbeeld: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardwaredonatie voor bètatests gezocht +We accepteren elk soort hardware om onze ontwikkeling te testen, zoals: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson als je op welke manier dan ook wilt helpen! 😃 +<!-- +## Moet je een GPU huren om onze service te versnellen? +- Er is hier een peiling geopend https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Speciale dank +Aan alle financiële en code-bijdragers helpt elke bijdrage en suggestie om de kwaliteit van E2A te verbeteren. \ No newline at end of file diff --git a/readme/README_pol.md b/readme/README_pol.md new file mode 100644 index 0000000..2b8704f --- /dev/null +++ b/readme/README_pol.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Konwerter CPU/GPU z e-booka na audiobook z rozdziałami i metadanymi<br/> +z wykorzystaniem zaawansowanych silników TTS i nie tylko.<br/> +Obsługuje klonowanie głosu i 1158 języków! +> [!IMPORTANT] +**To narzędzie jest przeznaczone wyłącznie do użytku z e-bookami bez DRM, nabytymi legalnie.** <br> +Autorzy nie ponoszą odpowiedzialności za jakiekolwiek niewłaściwe użycie tego oprogramowania ani za wynikające z tego konsekwencje prawne. <br> +Korzystaj z tego narzędzia odpowiedzialnie i zgodnie ze wszystkimi obowiązującymi przepisami. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Dziękujemy za wsparcie twórców ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Uruchamianie lokalne + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Uruchamianie zdalne +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Interfejs graficzny (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Kliknij, aby zobaczyć obrazy interfejsu webowego</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Dema + +**Demo nowego domyślnego głosu** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Więcej dem</summary> + +**Głos ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Głos deszczowego dnia** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Głos Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Głos Davida Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Przykład** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Spis treści +- [ebook2audiobook](#-ebook2audiobook) +- [Funkcje](#features) +- [Interfejs graficzny](#gui-interface) +- [Dema](#demos) +- [Obsługiwane języki](#supported-languages) +- [Minimalne wymagania](#hardware-requirements) +- [Użycie](#instructions) + - [Uruchamianie lokalne](#instructions) + - [Uruchamianie interfejsu webowego Gradio](#instructions) + - [Podstawowe użycie w trybie headless](#basic-usage) + - [Użycie własnego modelu XTTS w trybie headless](#example-of-custom-model-zip-upload) + - [Wynik polecenia pomocy](#help-command-output) + - [Uruchamianie zdalne](#run-remotely) + - [Docker](#docker) + - [Kroki uruchamiania](#docker) + +- [Sklonowane głosy](#cloned-voices) +- [Dostrojone modele TTS](#fine-tuned-tts-models) + - [Kolekcja dostrojonych modeli TTS](#fine-tuned-tts-collection) + - [Trenowanie XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Obsługiwane formaty e-booków](#supported-ebook-formats) +- [Formaty wyjściowe](#output-and-process-formats) +- [Powrót do starszej wersji](#reverting-to-older-versions) +- [Częste problemy](#common-issues) +- [Specjalne podziękowania](#special-thanks) +- [Spis treści](#table-of-contents) + + +## Funkcje +- 🔧 **Obsługiwane silniki TTS**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Konwersja wielu formatów plików**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Pole tekstowe** do bezpośredniej konwersji krótkiego tekstu na audio +- 🔍 **Skanowanie OCR** dla plików ze stronami tekstu w postaci obrazów +- 🔊 **Wysokiej jakości zamiana tekstu na mowę**, od niemal czasu rzeczywistego po niemal naturalny głos +- 🗣️ **Opcjonalne klonowanie głosu** przy użyciu własnego pliku głosowego +- 🌐 **Obsługuje 1158 języków** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Przyjazny dla ograniczonych zasobów** — działa na **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Formaty wyjściowe audiobooka**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Obsługa znaczników SML** — precyzyjna kontrola przerw, pauz, zmiany głosu i nie tylko ([see below](#sml-tags-available)) +- 🧩 **Opcjonalny własny model** przy użyciu własnego wytrenowanego modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Dostrojone modele gotowe** wytrenowane przez zespół E2A<br/> + <i>(Skontaktuj się z nami, jeśli potrzebujesz dodatkowych dostrojonych modeli lub jeśli chcesz udostępnić własne na oficjalnej liście gotowych ustawień)</i> + + +## Wymagania sprzętowe +- 2 GB RAM min., 8 GB zalecane. +- 1 GB VRAM min., 4 GB zalecane. +- Włączona wirtualizacja przy uruchamianiu w systemie Windows (tylko Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Nowoczesne silniki TTS są bardzo wolne na CPU, więc używaj TTS o niższej jakości, takich jak YourTTS, Tacotron2 itd.</i> + +## Obsługiwane języki +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 języków i dialektów tutaj**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Obsługiwane formaty e-booków +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Najlepsze rezultaty**: `.epub` lub `.mobi` dla automatycznego wykrywania rozdziałów + +## Formaty wyjściowe i przetwarzania +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Format przetwarzania można zmienić w lib/conf.py + +## Dostępne znaczniki SML +- `[break]` — cisza (losowy zakres **0.3–0.6 sec.**) +- `[pause]` — cisza (losowy zakres **1.0–1.6 sec.**) +- `[pause:N]` — stała pauza (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — przełączenie głosu z domyślnego lub wybranego z GUI/CLI + +**Sprawdź nasze inne repozytorium poświęcone automatycznemu dodawaniu SML w Twoim e-booku -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Zanim zgłosisz problem z instalacją lub błąd, przeszukaj dokładnie zakładkę z otwartymi i zamkniętymi zgłoszeniami<br> +aby upewnić się, że Twój problem jeszcze nie istnieje.** + +>[!NOTE] +**Format EPUB nie posiada żadnej standardowej struktury określającej, czym jest rozdział, akapit, przedmowa itd.<br> +Dlatego najpierw należy ręcznie usunąć wszelki tekst, którego nie chcesz konwertować na audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Zainstaluj / Uruchom ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Launcher dla Maca** + Kliknij dwukrotnie `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Uwaga dla użytkowników Windows: scoop jest instalowany w celu zainstalowania brakujących programów bez uprawnień administratora.</i> + +1. **Otwórz aplikację webową**: Kliknij adres URL podany w terminalu, aby uzyskać dostęp do aplikacji webowej i konwertować e-booki. `http://localhost:7860/` +2. **Aby uzyskać link publiczny**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Jeśli skrypt zostanie zatrzymany i uruchomiony ponownie, musisz odświeżyć swój interfejs graficzny Gradio<br> +aby strona internetowa mogła ponownie połączyć się z nowym gniazdem połączenia.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Ścieżka do pliku e-booka + - **[--voice]**: Ścieżka pliku do klonowania głosu (opcjonalnie) + - **[--language]**: Kod języka w ISO-639-3 (np.: ita dla włoskiego, eng dla angielskiego, deu dla niemieckiego...).<br> + Domyślny język to eng, a --language jest opcjonalny dla języka domyślnego ustawionego w ./lib/lang.py.<br> + Obsługiwane są również 2-literowe kody ISO-639-1. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Ścieżka do pliku `model_name.zip`, + który musi zawierać (zależnie od silnika TTS) wszystkie obowiązkowe pliki<br> + (zobacz ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +UWAGA: w trybie gradio/gui, aby anulować trwającą konwersję, po prostu kliknij [X] w komponencie przesyłania e-booka. +WSKAZÓWKA: jeśli potrzebna jest dłuższa pauza, dodaj '[pause:3]' dla 3 sek. itd. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Sklonowane głosy +Możesz przesłać dowolny dźwięk głosowy w dowolnym obsługiwanym formacie audio, idealny czas trwania to około 1 do 5 min. +Nie ma znaczenia, czy nagranie ma głośne tło, czy odtwarzana jest nad nim muzyka — E2A wyczyści głos za Ciebie. + +Wbudowana lista sklonowanych głosów jest głównie w języku angielskim. Jeśli chcesz, aby głosy w innych językach były oficjalnie +dodane do listy, skontaktuj się z nami, a my dodamy je po sprawdzeniu. + +## Dostrojone (fine-tuned) modele TTS +#### Dostrój własny model XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Odszumianie danych treningowych + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Kolekcja dostrojonych modeli TTS + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Dla własnego modelu XTTSv2 obowiązkowy jest referencyjny klip audio z głosem: + +## Twoja własna personalizacja Ebook2Audiobook +Możesz dowolnie modyfikować libs/conf.py, aby dodać lub usunąć żądane ustawienia. Jeśli planujesz to zrobić, po prostu wykonaj +kopię oryginalnego conf.py, aby przy każdej aktualizacji ebook2audiobook móc zachować swój zmodyfikowany conf.py i przywrócić +oryginalny. Musisz zaplanować ten sam proces dla models.py. Jeśli chcesz, aby Twój własny model +stał się oficjalnym dostrojonym modelem ebook2audiobook, skontaktuj się z nami, a dodamy go do listy gotowych ustawień. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Częste problemy: +- Moja karta GPU NVIDIA/ROCm/XPU/MPS nie jest wykrywana?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU jest wolne (lepsze na serwerowym CPU SMP), podczas gdy GPU może zapewnić konwersję niemal w czasie rzeczywistym. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Nie ma jednak klonowania głosu zero-shot, a głosy są jakości Siri, ale jest znacznie szybsze na CPU). +- „Mam problemy z zależnościami” - Po prostu użyj Dockera, jest w pełni samodzielny i ma tryb headless, + dodaj parametr `--help` na końcu polecenia docker run, aby uzyskać więcej informacji. +- „Mam problem z przyciętym dźwiękiem!” - PROSIMY O ZGŁOSZENIE TEGO JAKO ISSUE, + nie mówimy w każdym języku i potrzebujemy porad użytkowników, aby dostroić logikę dzielenia zdań.😊 + +## ***** PLAN ROZWOJU ***** +- Wszystkie funkcje otwarte na publiczne wkłady ⭐ +- Wszelka pomoc od osób mówiących w którymkolwiek z obsługiwanych języków, aby pomóc nam ulepszać modele ⭐ +- [x] Podgląd bloków/rozdziałów przed rozpoczęciem konwersji +- [ ] Edycja według przekonwertowanego zdania dla chirurgicznej zmiany tekstu +- [x] Integracja znaczników SML dla głosu, pauzy, przerwy i innych zmian +- [x] Informacje o parametrach -h -help w różnych językach +- [x] Skanowanie OCR dla PDF / JPG / BMP / PNG / TIFF +- [x] Folder notebooków [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Sprawić, by dzielenie tekstu chińskiego nie rozdzielało słów i poprawić synchronizację pauz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integracja z Audiobookshelf +- [ ] [Stworzyć aplikację na iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Stworzyć aplikację na Androida](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Dodatkowe opcje +- [x] Opcja tłumaczenia e-booka +- [x] Wybór formatu wyjściowego +- [x] Wsadowy folder e-booków +- [x] Konwersja wieloprocesowa +- [x] Wsadowa konwersja folderu e-booków +- [x] Wykrywanie urządzenia GPU +- [x] Odszumianie dowolnego referencyjnego audio do przesyłanego klonowania głosu, +- [x] Przesyłanie własnego modelu (na razie tylko XTTSv2. więcej na życzenie) +- [ ] Dodać model języka portugalskiego europejskiego przynajmniej dla xttsv2, fairseq, vits, piper (pomoc mile widziana) +- [ ] Dodać model języka sindhi przynajmniej dla xttsv2, fairseq, vits, piper (pomoc mile widziana) + +#### Silniki TTS +- [x] XTTSv2 +- [x] Kora +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Żółwie +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] przemowa ryb (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Strefy (https://github.com/Zyphra/Zonos) +- [ ] Styl-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Tłumaczenie pliku Readme +- [x] Arabski (ara) +- [x] Chiński (zho) +- [x] English (eng) +- [x] Hiszpański (spa) +- [x] Francuski (fra) +- [x] Niemiecki (deu) +- [x] Włoski (ita) +- [x] Portugalski (por) +- [x] Polski (pol) +- [x] Turecki (tur) +- [x] Rosyjski (Rus) +- [x] Holenderski (nld) +- [x] Czeski (ces) +- [x] Japoński (jpn) +- [x] Hindi (hin) +- [x] Bengalski (ben) +- [x] Węgierski (hun) +- [x] Koreański (kor) +- [x] Wietnamski (Vie) +- [x] Szwedzki (Swe) +- [x] Perski (fas) +- [x] Joruba (yor) +- [x] Suahili (swa) +- [x] Indonezyjski (ind) +- [x] Słowacki (slk) +- [x] Chorwacki (hrv) + +#### 🐍 Zgodność z systemami operacyjnymi +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Dodatkowy przerost dla trenowania modeli i nie tylko (wszystkie obsługiwane modele Coqui-tts oraz piper-tts w jednym prostym poleceniu) +- Po informacje na ten temat: @DrewThomasson obecnie pracuje nad jego rozwojem, [repozytorium w trakcie prac tutaj](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Stworzyć łatwy w użyciu interfejs treningowy dla wszystkich modeli coqui-tts w przepisach treningowych w formacie ljspeech [tutaj od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informacje o normalizacji kodu Python dla współtwórców +- brak pustej linii między kodem, z wyjątkiem między funkcjami i klasami. +- pojedynczy cudzysłów używany dla wszystkich kluczy z wyjątkiem dict() i json. dict['key'] zawsze wywoływany z pojedynczym cudzysłowem +- wcięcie 4 spacje, w ogóle bez tabulatorów +- ścisłe typowanie dla wszystkich funkcji oraz deklaracji ich argumentów i wartości zwracanych +- brak spacji między argumentem a jego typem, brak spacji między funkcją, „->” a wartością zwracaną + +Przykład: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Poszukiwana darowizna sprzętu na testy beta +Przyjmujemy każdy rodzaj sprzętu do testowania naszego rozwoju, taki jak: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson jeśli chcesz w jakikolwiek sposób pomóc! 😃 +<!-- +## Czy potrzebujesz wynająć GPU, aby przyspieszyć naszą usługę? +- Ankieta jest otwarta tutaj https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Specjalne podziękowania +Dla wszystkich współtwórców finansowych i kodowych każdy wkład i sugestia pomaga poprawić jakość E2A. \ No newline at end of file diff --git a/readme/README_por.md b/readme/README_por.md new file mode 100644 index 0000000..8eff585 --- /dev/null +++ b/readme/README_por.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Conversor CPU/GPU de e-book para audiolivro com capítulos e metadados<br/> +usando motores TTS avançados e muito mais.<br/> +Suporta clonagem de voz e 1158 idiomas! +> [!IMPORTANT] +**Esta ferramenta destina-se a ser usada apenas com e-books sem DRM e adquiridos legalmente.** <br> +Os autores não se responsabilizam por qualquer uso indevido deste software nem por quaisquer consequências legais decorrentes. <br> +Use esta ferramenta de forma responsável e em conformidade com todas as leis aplicáveis. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Obrigado por apoiar os desenvolvedores do ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Executar localmente + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Executar remotamente +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Interface gráfica (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Clique para ver imagens da GUI web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demos + +**Demo da nova voz padrão** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Mais demos</summary> + +**Voz ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Voz de dia chuvoso** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Voz Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Voz David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Exemplo** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Índice +- [ebook2audiobook](#-ebook2audiobook) +- [Recursos](#features) +- [Interface gráfica](#gui-interface) +- [Demos](#demos) +- [Idiomas suportados](#supported-languages) +- [Requisitos mínimos](#hardware-requirements) +- [Utilização](#instructions) + - [Executar localmente](#instructions) + - [Iniciar a interface web Gradio](#instructions) + - [Utilização básica em modo headless](#basic-usage) + - [Utilização de modelo XTTS personalizado em modo headless](#example-of-custom-model-zip-upload) + - [Saída do comando de ajuda](#help-command-output) + - [Executar remotamente](#run-remotely) + - [Docker](#docker) + - [Passos para executar](#docker) + +- [Cloned Voices](#cloned-voices) +- [Modelos TTS ajustados](#fine-tuned-tts-models) + - [Coleção de modelos TTS ajustados](#fine-tuned-tts-collection) + - [Treinar XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Formatos de e-book suportados](#supported-ebook-formats) +- [Formatos de saída](#output-and-process-formats) +- [Reverter para uma versão anterior](#reverting-to-older-versions) +- [Problemas comuns](#common-issues) +- [Agradecimentos especiais](#special-thanks) +- [Índice](#table-of-contents) + + +## Recursos +- 🔧 **Motores TTS suportados**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Converter múltiplos formatos de ficheiro**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Área de texto** para converter diretamente um texto curto em áudio +- 🔍 **Digitalização OCR** para ficheiros com páginas de texto em forma de imagens +- 🔊 **Conversão de texto em fala de alta qualidade**, de quase tempo real a uma voz quase real +- 🗣️ **Clonagem de voz opcional** usando o seu próprio ficheiro de voz +- 🌐 **Suporta 1158 idiomas** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Adequado a recursos limitados** — funciona com **2 GB de RAM / 1 GB de VRAM (mínimo)** +- 🎵 **Formatos de saída do audiolivro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Tags SML suportadas** — controlo granular de quebras, pausas, mudança de voz e muito mais ([see below](#sml-tags-available)) +- 🧩 **Modelo personalizado opcional** usando o seu próprio modelo treinado (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Modelos de predefinição ajustados** treinados pela equipa E2A<br/> + <i>(Contacte-nos se precisar de modelos ajustados adicionais, ou se quiser partilhar os seus na lista oficial de predefinições)</i> + + +## Requisitos de hardware +- 2 GB de RAM mín., 8 GB recomendado. +- 1 GB de VRAM mín., 4 GB recomendado. +- Virtualização ativada se for executado no Windows (apenas Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Os motores TTS modernos são muito lentos na CPU, por isso use TTS de menor qualidade como YourTTS, Tacotron2, etc.</i> + +## Idiomas suportados +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 idiomas e dialetos aqui**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Formatos de e-book suportados +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Melhores resultados**: `.epub` ou `.mobi` para a deteção automática de capítulos + +## Formatos de saída e de processamento +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- O formato de processamento pode ser alterado em lib/conf.py + +## Tags SML disponíveis +- `[break]` — silêncio (intervalo aleatório **0.3–0.6 sec.**) +- `[pause]` — silêncio (intervalo aleatório **1.0–1.6 sec.**) +- `[pause:N]` — pausa fixa (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — mudar de voz a partir da voz padrão ou selecionada na GUI/CLI + +**Veja o nosso outro repositório dedicado a adicionar SML automaticamente no seu e-book -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Antes de publicar um problema de instalação ou um bug, pesquise cuidadosamente no separador de problemas abertos e fechados<br> +para ter a certeza de que o seu problema ainda não existe.** + +>[!NOTE] +**O formato EPUB não tem qualquer estrutura padrão que defina o que é um capítulo, um parágrafo, um prefácio, etc.<br> +Por isso, deve primeiro remover manualmente qualquer texto que não queira converter em áudio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Instalar / Executar o ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Launcher para Mac** + Faça duplo clique em `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Nota para utilizadores de Windows: o scoop é instalado para instalar os programas em falta sem privilégios de administrador.</i> + +1. **Abrir a aplicação web**: Clique no URL fornecido no terminal para aceder à aplicação web e converter e-books. `http://localhost:7860/` +2. **Para um link público**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Se o script for parado e executado novamente, precisa de atualizar a sua interface gráfica Gradio<br> +para permitir que a página web se volte a ligar ao novo socket de ligação.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Caminho para o seu ficheiro de e-book + - **[--voice]**: Caminho do ficheiro de clonagem de voz (opcional) + - **[--language]**: Código de idioma em ISO-639-3 (ex.: ita para italiano, eng para inglês, deu para alemão...).<br> + O idioma padrão é eng e --language é opcional para o idioma padrão definido em ./lib/lang.py.<br> + Os códigos ISO-639-1 de 2 letras também são suportados. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Caminho para o ficheiro `model_name.zip`, + que deve conter (consoante o motor TTS) todos os ficheiros obrigatórios<br> + (ver ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTA: no modo gradio/gui, para cancelar uma conversão em curso, basta clicar no [X] do componente de envio do e-book. +DICA: se precisar de mais alguma pausa, adicione '[pause:3]' para 3 seg., etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Vozes Clonadas +Você pode carregar qualquer áudio de voz em qualquer um dos formatos de áudio suportados, a duração ideal é de cerca de 1 a 5 minutos. +Não importa se a gravação tem um fundo barulhento ou música tocando sobre ela — a E2A limpará a voz para você. + +A lista de vozes clonadas incorporada é principalmente em inglês. Se precisar que vozes em outros idiomas sejam oficialmente +adicionado à lista, entre em contacto connosco e iremos adicioná-los após análise. + +## Modelos TTS ajustados (fine-tuned) +#### Ajuste o seu próprio modelo XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Remover ruído dos dados de treino + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Coleção de modelos TTS ajustados + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Para um modelo personalizado XTTSv2 é obrigatório um clipe de áudio de referência da voz: + +## A sua própria personalização do Ebook2Audiobook +É livre de modificar o libs/conf.py para adicionar ou remover as definições que desejar. Se planeia fazê-lo, faça apenas +uma cópia do conf.py original para que, em cada atualização do ebook2audiobook, possa guardar o seu conf.py modificado e repor +o original. Deve planear o mesmo processo para o models.py. Se desejar tornar o seu próprio modelo personalizado +num modelo ajustado oficial do ebook2audiobook, contacte-nos e iremos adicioná-lo à lista de predefinições. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Problemas comuns: +- A minha GPU NVIDIA/ROCm/XPU/MPS não está a ser detetada?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- A CPU é lenta (melhor numa CPU SMP de servidor) enquanto a GPU pode ter uma conversão quase em tempo real. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (No entanto, não tem clonagem de voz zero-shot, e as vozes são de qualidade Siri, mas é muito mais rápido na CPU). +- «Estou com problemas de dependências» - Use simplesmente o Docker, é totalmente autónomo e tem um modo headless, + adicione o parâmetro `--help` no final do comando docker run para mais informações. +- «Estou com um problema de áudio truncado!» - POR FAVOR, ABRA UM ISSUE SOBRE ISTO, + não falamos todos os idiomas e precisamos do conselho dos utilizadores para afinar a lógica de divisão de frases.😊 + +## ***** ROADMAP ***** +- Todos os recursos abertos a contribuições públicas ⭐ +- Qualquer ajuda de pessoas que falem algum dos idiomas suportados para nos ajudar a melhorar os modelos ⭐ +- [x] Pré-visualizar blocos/capítulos antes de iniciar a conversão +- [ ] Edição por frase convertida para uma alteração cirúrgica do texto +- [x] Integração de tags SML para voz, pausa, quebra e mais alterações +- [x] Informação dos parâmetros -h -help em diferentes idiomas +- [x] Digitalização OCR para PDF / JPG / BMP / PNG / TIFF +- [x] Pasta de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Fazer com que a divisão de texto em chinês não separe palavras e melhorar a sincronização das pausas [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integração com o Audiobookshelf +- [ ] [Criar uma app para iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Criar uma app para Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Opções extra +- [x] Opção de tradução do e-book +- [x] Escolhas do formato de saída +- [x] Pasta de e-books em lote +- [x] Conversão com multiprocessamento +- [x] Conversão em lote de uma pasta de e-books +- [x] Deteção do dispositivo GPU +- [x] Remover ruído de qualquer áudio de referência para clonagem de voz enviada, +- [x] Envio de modelo personalizado (apenas XTTSv2 por agora. mais sob pedido) +- [ ] Adicionar um modelo de idioma português europeu para xttsv2, fairseq, vits, piper pelo menos (ajuda bem-vinda) +- [ ] Adicionar um modelo de idioma sindi para xttsv2, fairseq, vits, piper pelo menos (ajuda bem-vinda) + +#### Motores TTS +- [x] XTTSv2 +- [x] Latir +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Tartaruga +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Tradução do Readme +- [x] Árabe (ara) +- [x] Chinês (zho) +- [x] English (eng) +- [x] Espanhol (spa) +- [x] Francês (fra) +- [x] Alemão (deu) +- [x] Italiano (ita) +- [x] Português (por) +- [x] Polaco (pol) +- [x] Turco (tur) +- [x] Russo (rus) +- [x] Holandês (nld) +- [x] Checo (ces) +- [x] Japonês (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Húngaro (hun) +- [x] Coreano (kor) +- [x] Vietnamita (vie) +- [x] Sueco (swe) +- [x] Persa (fas) +- [x] Iorubá (yor) +- [x] Swahili (swa) +- [x] Indonésio (ind) +- [x] Eslovaco (slk) +- [x] Croata (hrv) + +#### 🐍 Compatibilidade de sistemas operativos +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra exagerado para treinar modelos e afins (todos os modelos Coqui-tts suportados e o piper-tts num único comando simples) +- Para informações sobre isto, @DrewThomasson está atualmente a trabalhar no seu desenvolvimento, [repositório em desenvolvimento aqui](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Criar uma GUI de treino fácil de usar para todos os modelos coqui-tts nas receitas de treino em formato ljspeech [aqui do coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informações de normalização do código Python para colaboradores +- sem linha em branco entre o código, exceto entre funções e classes. +- aspa simples usada para todas as chaves exceto para dict() e json. dict['key'] sempre invocado com aspa simples +- indentação de 4 espaços, nada de tabulações +- tipagem estrita para todas as funções e para a declaração dos seus argumentos e valores de retorno +- sem espaço entre o argumento e a sua tipagem, sem espaço entre a função, o «->» e o valor de retorno + +Exemplo: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Procura-se doação de hardware para testes beta +Aceitamos qualquer tipo de hardware para testar o nosso desenvolvimento, como: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson se quiser ajudar de alguma forma! 😃 +<!-- +## Precisa de alugar uma GPU para potenciar o nosso serviço? +- Está aberta uma sondagem aqui https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Agradecimentos especiais +Para todos os contribuintes financeiros e de código, cada contribuição e sugestão ajuda a melhorar a qualidade do E2A. \ No newline at end of file diff --git a/readme/README_rus.md b/readme/README_rus.md new file mode 100644 index 0000000..2e8b7ba --- /dev/null +++ b/readme/README_rus.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU конвертер из электронной книги в аудиокнигу с главами и метаданными<br/> +с использованием передовых движков TTS и многого другого.<br/> +Поддерживает клонирование голоса и 1158 языков! +> Важно +**Этот инструмент предназначен для использования только с электронными книгами без DRM, приобретёнными законным путём.** <br> +Авторы не несут ответственности за любое неправомерное использование этого программного обеспечения или за вытекающие из этого правовые последствия. <br> +Используйте этот инструмент ответственно и в соответствии со всеми применимыми законами. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Спасибо за поддержку разработчиков ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Запуск локально + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Запуск удалённо +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Графический интерфейс (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Нажмите, чтобы увидеть изображения веб-интерфейса</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Демо + +**Демо нового голоса по умолчанию** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Больше демо</summary> + +**Голос ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Голос дождливого дня** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Голос Скарлетт** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Голос Дэвида Аттенборо** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Пример** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Содержание +- [ebook2audiobook](#-ebook2audiobook) +- [Возможности](#features) +- [Графический интерфейс](#gui-interface) +- [Демо](#demos) +- [Поддерживаемые языки](#supported-languages) +- [Минимальные требования](#hardware-requirements) +- [Использование](#instructions) + - [Запуск локально](#instructions) + - [Запуск веб-интерфейса Gradio](#instructions) + - [Базовое использование в режиме headless](#basic-usage) + - [Использование пользовательской модели XTTS в режиме headless](#example-of-custom-model-zip-upload) + - [Вывод команды справки](#help-command-output) + - [Запуск удалённо](#run-remotely) + - [Docker](#docker) + - [Шаги для запуска](#docker) + +- [Клонированные голоса](#cloned-voices) +- [Дообученные модели TTS](#fine-tuned-tts-models) + - [Коллекция дообученных моделей TTS](#fine-tuned-tts-collection) + - [Обучение XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Поддерживаемые форматы электронных книг](#supported-ebook-formats) +- [Форматы вывода](#output-and-process-formats) +- [Возврат к более старой версии](#reverting-to-older-versions) +- [Распространённые проблемы](#common-issues) +- [Особая благодарность](#special-thanks) +- [Содержание](#table-of-contents) + + +## Возможности +- 🔧 **Поддерживаемые движки TTS**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Преобразование нескольких форматов файлов**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Текстовое поле** для прямого преобразования короткого текста в аудио +- 🔍 **Сканирование OCR** для файлов с текстовыми страницами в виде изображений +- 🔊 **Высококачественное преобразование текста в речь**, от почти реального времени до почти настоящего голоса +- 🗣️ **Необязательное клонирование голоса** с использованием вашего собственного голосового файла +- 🌐 **Поддерживает 1158 языков** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Дружелюбен к слабым ресурсам** — работает на **2 ГБ ОЗУ / 1 ГБ VRAM (минимум)** +- 🎵 **Форматы вывода аудиокниги**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Поддержка тегов SML** — точный контроль над прерываниями, паузами, сменой голоса и многим другим ([see below](#sml-tags-available)) +- 🧩 **Необязательная пользовательская модель** с использованием вашей собственной обученной модели (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Дообученные предустановленные модели**, обученные командой E2A<br/> + <i>(Свяжитесь с нами, если вам нужны дополнительные дообученные модели, или если вы хотите поделиться своими в официальном списке предустановок)</i> + + +## Требования к оборудованию +- 2 ГБ ОЗУ мин., 8 ГБ рекомендуется. +- 1 ГБ VRAM мин., 4 ГБ рекомендуется. +- Виртуализация включена при запуске в Windows (только Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Современные движки TTS очень медленны на CPU, поэтому используйте TTS более низкого качества, такие как YourTTS, Tacotron2 и т. д.</i> + +## Поддерживаемые языки +| **Арабский (ar)** | **Китайский (zh)** | **Английский (en)** | **Испанский (ые)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **Французский (fr)** | **Немецкий (de)** | **Итальянский (it)** | **Португальский (pt)** | +| **Польский (pl)** | **Турецкий (tr)** | **Русский (ru)** | **Голландский (nl)** | +| **Чешский (cs)** | **Японский (ja)** | **Хинди (hi)** | **Бенгальский (bn)** | +| **Венгерский (hu)** | **Корейский (ko)** | **Вьетнамский (vi)**| **Шведский (sv)** | +| **Персидский (fa)** | **Йоруба (yo)** | **Суахили (sw)** | **Индонезийский (id)**| +| **Словацкий (sk)** | **Хорватский (hr)** | **Тамильский (ta)** | **Датский (da)** | +- [**+1130 языков и диалектов здесь**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Поддерживаемые форматы электронных книг +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Лучшие результаты**: `.epub` или `.mobi` для автоматического определения глав + +## Форматы вывода и обработки +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Формат обработки можно изменить в lib/conf.py + +## Доступные теги SML +- `[break]` — тишина (случайный диапазон **0.3–0.6 sec.**) +- `[pause]` — тишина (случайный диапазон **1.0–1.6 sec.**) +- `[pause:N]` — фиксированная пауза (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — переключение голоса с голоса по умолчанию или выбранного из GUI/CLI + +**Проверьте наш другой репозиторий, предназначенный для автоматического добавления SML в вашу электронную книгу -> [E2A-SML](./components/E2A-SML)** + +> Важно +**Прежде чем сообщать о проблеме с установкой или ошибке, внимательно поищите во вкладке открытых и закрытых задач<br> +чтобы убедиться, что вашей проблемы ещё не существует.** + +Примечание +**Формат EPUB не имеет какой-либо стандартной структуры, определяющей, что такое глава, абзац, предисловие и т. д.<br> +Поэтому сначала вам следует вручную удалить весь текст, который вы не хотите преобразовывать в аудио.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Установите / Запустите ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Лаунчер для Mac** + Дважды щёлкните `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Примечание для пользователей Windows: устанавливается scoop для установки отсутствующих программ без прав администратора.</i> + +1. **Откройте веб-приложение**: Нажмите на URL, указанный в терминале, чтобы получить доступ к веб-приложению и преобразовывать электронные книги. `http://localhost:7860/` +2. **Для публичной ссылки**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (все ОС) + +> Важно +**Если скрипт остановлен и запущен снова, вам нужно обновить ваш интерфейс Gradio GUI<br> +чтобы веб-страница смогла повторно подключиться к новому сокету соединения.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Путь к файлу вашей электронной книги + - **[--voice]**: Путь к файлу для клонирования голоса (необязательно) + - **[--language]**: Код языка в ISO-639-3 (т. е.: ita для итальянского, eng для английского, deu для немецкого...).<br> + Язык по умолчанию — eng, и --language является необязательным для языка по умолчанию, заданного в ./lib/lang.py.<br> + Также поддерживаются двухбуквенные коды ISO-639-1. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Путь к файлу `model_name.zip`, + который должен содержать (в зависимости от движка tts) все обязательные файлы<br> + (см. ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +ПРИМЕЧАНИЕ: в режиме gradio/gui, чтобы отменить выполняющееся преобразование, просто нажмите [X] компонента загрузки электронной книги. +СОВЕТ: если нужна чуть большая пауза, добавьте '[pause:3]' для 3 сек. и т. д. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Клонированные голоса +Вы можете загрузить любой голосовой звук в любом из поддерживаемых аудиоформатов, идеальная продолжительность составляет от 1 до 5 мин. +Неважно, имеет ли запись шумный фон или над ней играет музыка — E2A очистит голос для вас. + +Встроенный список клонированных голосов в основном на английском языке. Если вам нужны голоса на других языках, чтобы быть официально +добавлены в список, свяжитесь с нами, и мы добавим их после проверки. + +## Дообученные (fine-tuned) модели TTS +#### Дообучите свою собственную модель XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Шумоподавление обучающих данных + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Коллекция дообученных моделей TTS + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Для пользовательской модели XTTSv2 обязателен референсный аудиоклип голоса: + +## Ваша собственная настройка Ebook2Audiobook +Вы можете свободно изменять libs/conf.py, чтобы добавлять или удалять нужные вам настройки. Если вы планируете это сделать, просто сделайте +копию оригинального conf.py, чтобы при каждом обновлении ebook2audiobook вы могли создать резервную копию вашего изменённого conf.py и вернуть +оригинал. Вы должны спланировать тот же процесс для models.py. Если вы хотите сделать свою собственную модель +официальной дообученной моделью ebook2audiobook, пожалуйста, свяжитесь с нами, и мы добавим её в список предустановок. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Распространённые проблемы: +- Мой графический процессор NVIDIA/ROCm/XPU/MPS не обнаружен?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU медленный (лучше на серверном SMP CPU), тогда как GPU может обеспечить почти преобразование в реальном времени. + [Обсуждение этого](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Однако у него нет клонирования голоса zero-shot, и это голоса качества Siri, но он намного быстрее на cpu). +- «У меня проблемы с зависимостями» - Просто используйте docker, он полностью автономен и имеет режим headless, + добавьте параметр `--help` в конец команды docker run для получения дополнительной информации. +- «У меня проблема с обрезанным звуком!» - ПОЖАЛУЙСТА, СОЗДАЙТЕ ОБ ЭТОМ ISSUE, + мы не говорим на каждом языке и нуждаемся в советах пользователей, чтобы доработать логику разбиения предложений.😊 + +## ДК +- Все функции открыты для публичных вкладов ⭐ +- Любая помощь от людей, говорящих на любом из поддерживаемых языков, чтобы помочь нам улучшить модели ⭐ +- [x] Предварительный просмотр блоков/глав перед началом преобразования +- [ ] Редактировать по предложению, преобразованному для изменения хирургического текста +- [x] Интеграция тегов SML для голоса, паузы, перерыва и других изменений +- [x] -h -help информация о параметрах на разных языках +- [x] Сканирование OCR для PDF / JPG / BMP / PNG / tiff +- [x] Папка записных книжек [Обсуждалось здесь](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Сделать так, чтобы разделение текста на китайском языке не разделяло слова, и улучшить время паузы [Обсуждалось здесь](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] <bpt i="1" type="283" x="1"/>Docker Compose<ept i="1"/>; +- [x] Подман сочиняет +- [x] Ноутбук Kaggle +- [x] Записная книжка Google Colab +- [ ] Интеграция с аудиокнижной полкой +- [ ] [Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Дополнительные параметры +- [x] Опция перевода электронной книги +- [x] Варианты формата вывода +- [x] Папка для пакетной обработки электронных книг +- [x] Преобразование с многопроцессорной обработкой +- [x] Пакетное преобразование папки электронных книг +- [x] Обнаружение устройства GPU +- [x] Шумоподавление любого референсного аудио для загруженного клонирования голоса, +- [x] Загрузка пользовательской модели (пока только XTTSv2. больше по запросу) +- [ ] Добавить языковую модель европейского португальского хотя бы для xttsv2, fairseq, vits, piper (помощь приветствуется) +- [ ] Добавить языковую модель синдхи хотя бы для xttsv2, fairseq, vits, piper (помощь приветствуется) + +#### Двигатели TTS +- [x] XTTSv2 +- [x] Кора +- [x] Fairseq +- [x] ВИТС +- [x] Tacotron2 +- [x] YourTTS +- [x] Черепаха +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Перевод Readme +- [x] Арабский (ara) +- [x] Китайский (zho) +- [x] Английский (ENG) +- [x] Испанский (спа) +- [x] Французский (фра) +- [x] Немецкий (DEU) +- [x] Итальянский (ита) +- [x] Португальский (por) +- [x] Польский (pol) +- [x] Турецкий (tur) +- [x] Russian (rus) +- [x] Голландский (nld) +- [x] Чешский (ces) +- [x] Японский (jpn) +- [x] Хинди +- [x] Бенгальский (ben) +- [x] Hungarian (HUN) +- [x] Корейский (кор) +- [x] Вьетнамский (VIE) +- [x] Шведский (Swe) +- [x] Персидский (фас) +- [x] Йоруба (йор) +- [x] Суахили (сва) +- [x] Индонезийский (инд.) +- [x] Словацкий (slk) +- [x] Хорватский (грн) + +#### 🐍 Совместимость с ОС +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] Linux (rpm-based) x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] Окна 🪟💪 РЫЧАГА +- [x] 🐧💪 ARM LINUX + +********** + +## Дополнительный избыток для обучения моделей и подобного (все поддерживаемые модели Coqui-tts и piper-tts в одной простой команде) +- За информацией об этом @DrewThomasson, он сейчас работает над разработкой этого, [репозиторий в разработке здесь](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Создать простой в использовании графический интерфейс обучения для всех моделей coqui-tts в обучающих рецептах формата ljspeech [здесь от coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Информация о нормализации кода Python для участников +- никакой пустой строки между кодом, кроме как между функциями и классами. +- одинарные кавычки используются для всех ключей, кроме dict() и json. dict['key'] всегда вызывается с одинарными кавычками +- отступ в 4 пробела, вообще без табуляции +- строгая типизация для всех функций, а также объявления их аргументов и возвращаемых значений +- никакого пробела между аргументом и его типизацией, никакого пробела между функцией, «->» и возвращаемым значением + +Пример: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Требуется пожертвование оборудования для бета-тестов +Мы принимаем любое оборудование для тестирования нашей разработки, например: +- Nvidia поддерживает cuda >= 11,8 +- Карты XPU Intel +- Карты ROCm AMD, поддерживающие ROCm >=5,7 + +@DrewThomasson, если вы хотите помочь любым способом! 😃 +<!-- +## Нужно ли вам арендовать GPU для усиления нашего сервиса? +- Опрос открыт здесь https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Особая благодарность +Для всех финансовых и кодовых вкладчиков каждый вклад и предложение помогают улучшить качество E2A. \ No newline at end of file diff --git a/readme/README_slk.md b/readme/README_slk.md new file mode 100644 index 0000000..747d098 --- /dev/null +++ b/readme/README_slk.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU prevodník z e-knihy na audioknihu s kapitolami a metadátami<br/> +s využitím pokročilých TTS enginov a mnohého ďalšieho.<br/> +Podporuje klonovanie hlasu a 1158 jazykov! +> [!IMPORTANT] +**Tento nástroj je určený len na použitie s e-knihami bez DRM, získanými legálne.** <br> +Autori nenesú zodpovednosť za akékoľvek zneužitie tohto softvéru ani za prípadné právne následky. <br> +Používajte tento nástroj zodpovedne a v súlade so všetkými platnými zákonmi. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Ďakujeme za podporu vývojárov ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Spustenie lokálne + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Spustenie vzdialene +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafické rozhranie (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Kliknite pre zobrazenie obrázkov webového GUI</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Ukážky + +**Ukážka nového predvoleného hlasu** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Viac ukážok</summary> + +**Hlas ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Hlas daždivého dňa** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Hlas Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Hlas Davida Attenborougha** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Príklad** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Obsah +- [ebook2audiobook](#-ebook2audiobook) +- [Funkcie](#features) +- [Grafické rozhranie](#gui-interface) +- [Ukážky](#demos) +- [Podporované jazyky](#supported-languages) +- [Minimálne požiadavky](#hardware-requirements) +- [Použitie](#instructions) + - [Spustenie lokálne](#instructions) + - [Spustenie webového rozhrania Gradio](#instructions) + - [Základné použitie v režime headless](#basic-usage) + - [Použitie vlastného modelu XTTS v režime headless](#example-of-custom-model-zip-upload) + - [Výstup príkazu pomocníka](#help-command-output) + - [Spustenie vzdialene](#run-remotely) + - [Docker](#docker) + - [Kroky na spustenie](#docker) + +- [Cloned Voices](#cloned-voices) +- [Doladené TTS modely](#fine-tuned-tts-models) + - [Kolekcia doladených TTS modelov](#fine-tuned-tts-collection) + - [Trénovanie XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Podporované formáty e-kníh](#supported-ebook-formats) +- [Výstupné formáty](#output-and-process-formats) +- [Návrat k staršej verzii](#reverting-to-older-versions) +- [Časté problémy](#common-issues) +- [Osobitné poďakovanie](#special-thanks) +- [Obsah](#table-of-contents) + + +## Funkcie +- 🔧 **Podporované TTS enginy**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Prevod viacerých formátov súborov**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Textové pole** na priamy prevod krátkeho textu na zvuk +- 🔍 **OCR skenovanie** pre súbory s textovými stránkami vo forme obrázkov +- 🔊 **Vysokokvalitný prevod textu na reč**, od takmer reálneho času po takmer skutočný hlas +- 🗣️ **Voliteľné klonovanie hlasu** pomocou vlastného hlasového súboru +- 🌐 **Podporuje 1158 jazykov** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Vhodné pre obmedzené zdroje** — beží na **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Výstupné formáty audioknihy**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Podpora SML tagov** — jemné ovládanie prerušení, páuz, prepínania hlasu a ďalšieho ([see below](#sml-tags-available)) +- 🧩 **Voliteľný vlastný model** pomocou vášho vlastného natrénovaného modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Doladené prednastavené modely** natrénované tímom E2A<br/> + <i>(Kontaktujte nás, ak potrebujete ďalšie doladené modely, alebo ak chcete zdieľať tie svoje v oficiálnom zozname predvolieb)</i> + + +## Hardvérové požiadavky +- 2 GB RAM min., 8 GB odporúčané. +- 1 GB VRAM min., 4 GB odporúčané. +- Povolená virtualizácia pri spustení vo Windows (iba Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Moderné TTS enginy sú na CPU veľmi pomalé, používajte teda TTS nižšej kvality ako YourTTS, Tacotron2 atď.</i> + +## Podporované jazyky +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 jazykov a dialektov tu**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Podporované formáty e-kníh +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Najlepšie výsledky**: `.epub` alebo `.mobi` pre automatickú detekciu kapitol + +## Formáty výstupu a spracovania +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Formát spracovania je možné zmeniť v lib/conf.py + +## Dostupné SML tagy +- `[break]` — ticho (náhodný rozsah **0.3–0.6 sec.**) +- `[pause]` — ticho (náhodný rozsah **1.0–1.6 sec.**) +- `[pause:N]` — pevná pauza (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — prepnutie hlasu z predvoleného alebo vybraného hlasu z GUI/CLI + +**Pozrite si náš ďalší repozitár venovaný automatickému pridávaniu SML do vašej e-knihy -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Skôr než nahlásite problém s inštaláciou alebo chybu, dôkladne prehľadajte záložku otvorených a uzavretých issues<br> +aby ste sa uistili, že váš problém ešte neexistuje.** + +>[!NOTE] +**Formát EPUB postráda akúkoľvek štandardnú štruktúru definujúcu, čo je kapitola, odsek, predslov atď.<br> +Preto by ste mali najprv ručne odstrániť všetok text, ktorý nechcete prevádzať na zvuk.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Nainštalujte / Spustite ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Spúšťač pre Mac** + Dvakrát kliknite na `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Poznámka pre používateľov Windows: na inštaláciu chýbajúcich programov bez administrátorských oprávnení sa inštaluje scoop.</i> + +1. **Otvorte webovú aplikáciu**: Kliknite na adresu URL uvedenú v termináli pre prístup k webovej aplikácii a prevod e-kníh. `http://localhost:7860/` +2. **Pre verejný odkaz**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Ak je skript zastavený a znovu spustený, musíte obnoviť svoje grafické rozhranie Gradio<br> +aby sa webová stránka mohla znovu pripojiť k novému pripojovaciemu socketu.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Cesta k súboru vašej e-knihy + - **[--voice]**: Cesta k súboru pre klonovanie hlasu (voliteľné) + - **[--language]**: Kód jazyka v ISO-639-3 (napr.: ita pre taliančinu, eng pre angličtinu, deu pre nemčinu...).<br> + Predvolený jazyk je eng a --language je voliteľný pre predvolený jazyk nastavený v ./lib/lang.py.<br> + Podporované sú aj dvojpísmenové kódy ISO-639-1. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Cesta k súboru `model_name.zip`, + ktorý musí obsahovať (podľa TTS enginu) všetky povinné súbory<br> + (pozri ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +POZNÁMKA: v režime gradio/gui zrušíte prebiehajúci prevod jednoducho kliknutím na [X] v komponente na nahranie e-knihy. +TIP: ak je potrebná o niečo dlhšia pauza, pridajte '[pause:3]' pre 3 s atď. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klonované hlasy +Môžete nahrať akýkoľvek hlasový zvuk v ktoromkoľvek z podporovaných zvukových formátov, ideálne trvanie je približne 1 až 5 miliónov. +Nezáleží na tom, či má nahrávka hlučné pozadie alebo cez ňu hrá hudba — E2A hlas vyčistí za vás. + +Vstavaný zoznam klonovaných hlasov je prevažne v angličtine. Ak potrebujete, aby hlasy v iných jazykoch boli oficiálne +pridané do zoznamu, kontaktujte nás a po kontrole ich pridáme. + +## Doladené (fine-tuned) TTS modely +#### Doláďte svoj vlastný model XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Odšumenie tréningových dát + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Kolekcia doladených TTS modelov + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Pre vlastný model XTTSv2 je povinný referenčný zvukový klip hlasu: + +## Vaša vlastná úprava Ebook2Audiobook +Môžete ľubovoľne upravovať libs/conf.py a pridávať či odstraňovať nastavenia, ktoré chcete. Ak to plánujete, jednoducho si urobte +kópiu pôvodného conf.py, aby ste pri každej aktualizácii ebook2audiobook mohli zálohovať svoj upravený conf.py a vrátiť +pôvodný. Rovnaký postup musíte naplánovať aj pre models.py. Ak chcete zo svojho vlastného modelu +urobiť oficiálny doladený model ebook2audiobook, kontaktujte nás a my ho pridáme do zoznamu predvolieb. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Časté problémy: +- Moje GPU NVIDIA/ROCm/XPU/MPS nie je detekované?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU je pomalé (lepšie na serverovom SMP CPU), zatiaľ čo GPU môže mať takmer prevod v reálnom čase. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Nemá však klonovanie hlasu zero-shot a hlasy sú kvality Siri, ale na CPU je oveľa rýchlejšie). +- „Mám problémy so závislosťami“ - Použite jednoducho Docker, je úplne samostatný a má režim headless, + pre viac informácií pridajte na koniec príkazu docker run parameter `--help`. +- „Mám problém s oREZaným zvukom!“ - PROSÍM, NAHLÁSTE TO AKO ISSUE, + nehovoríme každým jazykom a potrebujeme rady používateľov, aby sme doladili logiku delenia viet.😊 + +## ***** PLÁN ROZVOJA ***** +- Všetky funkcie otvorené verejným príspevkom ⭐ +- Akákoľvek pomoc od ľudí hovoriacich niektorým z podporovaných jazykov, aby nám pomohli vylepšiť modely ⭐ +- [x] Náhľad blokov/kapitol pred začatím prevodu +- [ ] Úprava po prevedenej vete pre chirurgickú zmenu textu +- [x] Integrácia SML tagov pre hlas, pauzu, prerušenie a ďalšie zmeny +- [x] Informácie o parametroch -h -help v rôznych jazykoch +- [x] OCR skenovanie pre PDF / JPG / BMP / PNG / TIFF +- [x] Priečinok notebookov [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Zabezpečiť, aby delenie čínskeho textu nerozdeľovalo slová, a zlepšiť načasovanie páuz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Integrácia s Audiobookshelf +- [ ] [Vytvoriť aplikáciu pre iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Vytvoriť aplikáciu pre Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Ďalšie možnosti +- [x] Možnosť prekladu e-knihy +- [x] Možnosti výstupného formátu +- [x] Dávkový priečinok e-kníh +- [x] Prevod s multiprocessingom +- [x] Dávkový prevod priečinka e-kníh +- [x] Detekcia zariadenia GPU +- [x] Odšumenie ľubovoľného referenčného zvuku pre nahrané klonovanie hlasu, +- [x] Nahranie vlastného modelu (zatiaľ iba XTTSv2. viac na vyžiadanie) +- [ ] Pridať jazykový model európskej portugalčiny aspoň pre xttsv2, fairseq, vits, piper (pomoc vítaná) +- [ ] Pridať jazykový model sindhčiny aspoň pre xttsv2, fairseq, vits, piper (pomoc vítaná) + +#### Motory TTS +- [x] XTTSv2 +- [x] kôra +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Korytnačkovité +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SOVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zóny (https://github.com/Zyphra/Zonos) +- [ ] Štýl-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Preklad súboru Readme +- [x] Arabčina (ara) +- [x] Čínština (zho) +- [x] English (eng) +- [x] Španielčina (kúpele) +- [x] Francúzština (fra) +- [x] Nemčina (deu) +- [x] Taliančina (ita) +- [x] Portugalčina (por) +- [x] Poľština (pol) +- [x] Turečtina (tur) +- [x] Ruština (rus) +- [x] Holandčina (nld) +- [x] Czech (ces) +- [x] Japončina (jpn) +- [x] Hindčina (hin) +- [x] Bengálčina (BEN) +- [x] Maďarčina (HUN) +- [x] Kórejčina (kor) +- [x] Vietnamčina (vie) +- [x] Švédčina (swe) +- [x] Perzština (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonézština (ind) +- [x] Slovak (slk) +- [x] Chorvátčina (hrv) + +#### 🐍 Kompatibilita operačných systémov +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra nadštandard na trénovanie modelov a podobne (všetky podporované modely Coqui-tts a piper-tts v jednom jednoduchom príkaze) +- Pre informácie o tomto: @DrewThomasson na tom v súčasnosti pracuje, [repozitár vo vývoji tu](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Vytvoriť ľahko použiteľné tréningové GUI pre všetky modely coqui-tts v tréningových receptoch vo formáte ljspeech [tu od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Informácie o normalizácii kódu Python pre prispievateľov +- žiadny prázdny riadok medzi kódom, okrem medzi funkciami a triedami. +- jednoduché úvodzovky použité pre všetky kľúče okrem dict() a json. dict['key'] vždy volaný s jednoduchými úvodzovkami +- odsadenie 4 medzery, vôbec žiadne tabulátory +- striktné typovanie pre všetky funkcie a deklaráciu ich argumentov a návratových hodnôt +- žiadna medzera medzi argumentom a jeho typovaním, žiadna medzera medzi funkciou, „->“ a návratovou hodnotou + +Príklad: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hľadáme darovanie hardvéru na beta testy +Prijímame akýkoľvek druh hardvéru na testovanie nášho vývoja, ako napríklad: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson, ak chcete akokoľvek pomôcť! 😃 +<!-- +## Potrebujete si prenajať GPU na posilnenie našej služby? +- Anketa je otvorená tu https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Osobitné poďakovanie +Všetkým finančným a kódovým prispievateľom každý príspevok a návrh pomáha zlepšiť kvalitu E2A. \ No newline at end of file diff --git a/readme/README_spa.md b/readme/README_spa.md new file mode 100644 index 0000000..254dd80 --- /dev/null +++ b/readme/README_spa.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Conversor CPU/GPU de libro electrónico a audiolibro con capítulos y metadatos<br/> +usando motores TTS avanzados y mucho más.<br/> +¡Admite clonación de voz y 1158 idiomas! +> [!IMPORTANT] +**Esta herramienta está destinada a usarse únicamente con libros electrónicos sin DRM y adquiridos legalmente.** <br> +Los autores no se hacen responsables de ningún uso indebido de este software ni de las consecuencias legales que de ello se deriven. <br> +Utiliza esta herramienta de forma responsable y conforme a todas las leyes aplicables. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ¡Gracias por apoyar a los desarrolladores de ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Ejecución local + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Ejecución remota +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Interfaz gráfica (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Haz clic para ver imágenes de la GUI web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demos + +**Demo de la nueva voz por defecto** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Más demos</summary> + +**Voz ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Voz de día lluvioso** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Voz Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Voz David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Ejemplo** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Tabla de contenidos +- [ebook2audiobook](#-ebook2audiobook) +- [Características](#features) +- [Interfaz gráfica](#gui-interface) +- [Demos](#demos) +- [Idiomas admitidos](#supported-languages) +- [Requisitos mínimos](#hardware-requirements) +- [Uso](#instructions) + - [Ejecución local](#instructions) + - [Lanzar la interfaz web de Gradio](#instructions) + - [Uso básico sin interfaz (headless)](#basic-usage) + - [Uso de modelo XTTS personalizado sin interfaz](#example-of-custom-model-zip-upload) + - [Salida del comando de ayuda](#help-command-output) + - [Ejecución remota](#run-remotely) + - [Docker](#docker) + - [Pasos para ejecutar](#docker) + +- [Cloned Voices](#cloned-voices) +- [Modelos TTS ajustados](#fine-tuned-tts-models) + - [Colección de modelos TTS ajustados](#fine-tuned-tts-collection) + - [Entrenar XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Formatos de libro electrónico admitidos](#supported-ebook-formats) +- [Formatos de salida](#output-and-process-formats) +- [Volver a una versión anterior](#reverting-to-older-versions) +- [Problemas habituales](#common-issues) +- [Agradecimientos especiales](#special-thanks) +- [Tabla de contenidos](#table-of-contents) + + +## Características +- 🔧 **Motores TTS admitidos**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convertir múltiples formatos de archivo**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Área de texto** para convertir directamente un texto corto en audio +- 🔍 **Escaneo OCR** para archivos con páginas de texto en forma de imágenes +- 🔊 **Texto a voz de alta calidad**, desde casi en tiempo real hasta una voz casi real +- 🗣️ **Clonación de voz opcional** usando tu propio archivo de voz +- 🌐 **Admite 1158 idiomas** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Apto para recursos limitados** — funciona con **2 GB de RAM / 1 GB de VRAM (mínimo)** +- 🎵 **Formatos de salida del audiolibro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Etiquetas SML admitidas** — control preciso de cortes, pausas, cambio de voz y mucho más ([see below](#sml-tags-available)) +- 🧩 **Modelo personalizado opcional** usando tu propio modelo entrenado (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Modelos preajustados y ajustados** entrenados por el equipo de E2A<br/> + <i>(Contáctanos si necesitas modelos ajustados adicionales, o si quieres compartir los tuyos en la lista oficial de preajustes)</i> + + +## Requisitos de hardware +- 2 GB de RAM mín., 8 GB recomendados. +- 1 GB de VRAM mín., 4 GB recomendados. +- Virtualización habilitada si se ejecuta en Windows (solo Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Los motores TTS modernos son muy lentos en CPU, así que usa TTS de menor calidad como YourTTS, Tacotron2, etc.</i> + +## Idiomas admitidos +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 idiomas y dialectos aquí**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Formatos de libro electrónico admitidos +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Mejores resultados**: `.epub` o `.mobi` para la detección automática de capítulos + +## Formatos de salida y de proceso +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- El formato de proceso se puede cambiar en lib/conf.py + +## Etiquetas SML disponibles +- `[break]` — silencio (rango aleatorio **0.3–0.6 sec.**) +- `[pause]` — silencio (rango aleatorio **1.0–1.6 sec.**) +- `[pause:N]` — pausa fija (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — cambiar de voz respecto a la voz por defecto o seleccionada desde la GUI/CLI + +**Consulta nuestro otro repositorio dedicado a añadir SML automáticamente en tu libro electrónico -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Antes de publicar un problema de instalación o un error, busca cuidadosamente en la pestaña de problemas abiertos y cerrados<br> +para asegurarte de que tu problema no exista ya.** + +>[!NOTE] +**El formato EPUB carece de cualquier estructura estándar que defina qué es un capítulo, un párrafo, un prefacio, etc.<br> +Por tanto, primero deberías eliminar manualmente cualquier texto que no quieras convertir en audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Instalar / Ejecutar ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Lanzador de Mac** + Haz doble clic en `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Nota para usuarios de Windows: se instala scoop para instalar los programas que falten sin privilegios de administrador.</i> + +1. **Abrir la aplicación web**: Haz clic en la URL proporcionada en el terminal para acceder a la aplicación web y convertir libros electrónicos. `http://localhost:7860/` +2. **Para un enlace público**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Si el script se detiene y se vuelve a ejecutar, debes actualizar tu interfaz gráfica de Gradio<br> +para que la página web vuelva a conectarse al nuevo socket de conexión.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Ruta a tu archivo de libro electrónico + - **[--voice]**: Ruta del archivo de clonación de voz (opcional) + - **[--language]**: Código de idioma en ISO-639-3 (p. ej.: ita para italiano, eng para inglés, deu para alemán...).<br> + El idioma por defecto es eng y --language es opcional para el idioma por defecto definido en ./lib/lang.py.<br> + También se admiten los códigos ISO-639-1 de 2 letras. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Ruta al archivo `model_name.zip`, + que debe contener (según el motor TTS) todos los archivos obligatorios<br> + (consulta ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTA: en modo gradio/gui, para cancelar una conversión en curso, simplemente haz clic en la [X] del componente de subida del libro electrónico. +CONSEJO: si necesita algo más de pausa, añade '[pause:3]' para 3 seg., etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Voces clonadas +Puedes subir cualquier audio de voz en cualquiera de los formatos de audio admitidos, la duración ideal es de alrededor de 1 a 5 minutos. +No importa si la grabación tiene un fondo ruidoso o si se reproduce música sobre ella: E2A limpiará la voz por ti. + +La lista de voces clonadas incorporada está principalmente en inglés. Si necesitas voces en otros idiomas para ser oficialmente +añadidos a la lista, ponte en contacto con nosotros y los añadiremos después de revisarlos. + +## Modelos TTS ajustados (fine-tuned) +#### Ajusta tu propio modelo XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Eliminar ruido de los datos de entrenamiento + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Colección de modelos TTS ajustados + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Para un modelo personalizado XTTSv2 es obligatorio un clip de audio de referencia de la voz: + +## Tu propia personalización de Ebook2Audiobook +Eres libre de modificar libs/conf.py para añadir o eliminar los ajustes que desees. Si piensas hacerlo, simplemente haz +una copia del conf.py original para que en cada actualización de ebook2audiobook puedas respaldar tu conf.py modificado y volver a poner +el original. Debes planificar el mismo proceso para models.py. Si deseas convertir tu propio modelo personalizado +en un modelo ajustado oficial de ebook2audiobook, contáctanos y lo añadiremos a la lista de preajustes. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Problemas habituales: +- ¿Mi GPU NVIDIA/ROCm/XPU/MPS no se detecta?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- La CPU es lenta (mejor en una CPU SMP de servidor) mientras que la GPU puede lograr una conversión casi en tiempo real. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Sin embargo, no tiene clonación de voz zero-shot, y las voces son de calidad Siri, pero es mucho más rápido en CPU). +- «Tengo problemas de dependencias» - Simplemente usa Docker, es totalmente autónomo y tiene un modo headless, + añade el parámetro `--help` al final del comando docker run para más información. +- «¡Tengo un problema de audio truncado!» - POR FAVOR, ABRE UN ISSUE SOBRE ESTO, + no hablamos todos los idiomas y necesitamos el consejo de los usuarios para ajustar la lógica de división de frases.😊 + +## ***** HOJA DE RUTA ***** +- Todas las características abiertas a contribuciones públicas ⭐ +- Cualquier ayuda de personas que hablen alguno de los idiomas admitidos para ayudarnos a mejorar los modelos ⭐ +- [x] Previsualizar bloques/capítulos antes de iniciar la conversión +- [ ] Edición por frase convertida para un cambio quirúrgico del texto +- [x] Integración de etiquetas SML para voz, pausa, corte y más cambios +- [x] Información de los parámetros -h -help en distintos idiomas +- [x] Escaneo OCR para PDF / JPG / BMP / PNG / TIFF +- [x] Carpeta de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Hacer que la división de texto en chino no parta las palabras y mejorar la sincronización de las pausas [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook de Kaggle +- [x] Notebook de Google Colab +- [ ] Integración con Audiobookshelf +- [ ] [Crear una app para iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Crear una app para Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Opciones adicionales +- [x] Opción de traducción del libro electrónico +- [x] Opciones de formato de salida +- [x] Carpeta de libros electrónicos por lotes +- [x] Conversión con multiprocesamiento +- [x] Conversión por lotes de una carpeta de libros electrónicos +- [x] Detección del dispositivo GPU +- [x] Eliminar ruido de cualquier audio de referencia para clonación de voz subida, +- [x] Subida de modelo personalizado (solo XTTSv2 por ahora. más bajo petición) +- [ ] Añadir un modelo de idioma portugués europeo para xttsv2, fairseq, vits, piper como mínimo (ayuda bienvenida) +- [ ] Añadir un modelo de idioma sindhi para xttsv2, fairseq, vits, piper como mínimo (ayuda bienvenida) + +#### Motores TTS +- [x] XTTSv2 +- [x] Corteza +- [x] Fairseq +- [x] JAASKELAINEN +- [x] Tacotron2 +- [x] YourTTS +- [x] Tortuga +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Estilo-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Traducción del Readme +- [x] Árabe (ara) +- [x] Chino (zho) +- [x] English (eng) +- [x] Español IV (Esp) +- [x] Francés (fra) +- [x] Alemán (deu) +- [x] Italiano I (ita) +- [x] Portugués (por) +- [x] Polaco (pol) +- [x] Turco (tur) +- [x] Russian (rus) +- [x] Holandés (nld) +- [x] Czech (ces) +- [x] Japonés (jpn) +- [x] Hindi (hin) +- [x] Bengalí (ben) +- [x] Húngaro (HUN) +- [x] Coreano (kor) +- [x] Vietnamita (vie) +- [x] Swedish (swe) +- [x] Persa (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesio (ind) +- [x] Eslovaco (slk) +- [x] Croata (hrv) + +#### 🐍 Compatibilidad de sistemas operativos +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra exagerado para entrenar modelos y demás (todos los modelos Coqui-tts admitidos y piper-tts en un solo comando fácil) +- Para información sobre esto @DrewThomasson, actualmente está trabajando en su desarrollo, [repositorio en desarrollo aquí](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Crear una GUI de entrenamiento fácil de usar para todos los modelos coqui-tts en las recetas de entrenamiento con formato ljspeech [aquí de coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Información de normalización del código Python para colaboradores +- sin línea en blanco entre el código, salvo entre funciones y clases. +- comilla simple usada para todas las claves salvo para dict() y json. dict['key'] siempre se llama con comilla simple +- indentación de 4 espacios, nada de tabulaciones +- tipado estricto para todas las funciones y la declaración de sus argumentos y valores de retorno +- sin espacio entre el argumento y su tipado, sin espacio entre la función, el «->» y el valor de retorno + +Ejemplo: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Se busca donación de hardware para pruebas beta +Aceptamos cualquier tipo de hardware para probar nuestro desarrollo, como: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +¡@DrewThomasson si quieres ayudar en lo que sea! 😃 +<!-- +## ¿Necesitas alquilar una GPU para potenciar nuestro servicio? +- Hay una encuesta abierta aquí https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Agradecimientos especiales +Para todos los contribuyentes financieros y de código, cada contribución y sugerencia ayuda a mejorar la calidad de E2A. \ No newline at end of file diff --git a/readme/README_swa.md b/readme/README_swa.md new file mode 100644 index 0000000..e4ca163 --- /dev/null +++ b/readme/README_swa.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Kibadilishaji cha CPU/GPU kutoka E-Kitabu hadi kitabu cha sauti chenye sura na metadata<br/> +kwa kutumia injini za hali ya juu za TTS na mengi zaidi.<br/> +Kinaunga mkono unakili wa sauti na lugha 1158! +> [!IMPORTANT] +**Zana hii imekusudiwa kutumika tu na vitabu pepe visivyo na DRM, vilivyopatikana kihalali.** <br> +Waandishi hawawajibikii matumizi mabaya yoyote ya programu hii au matokeo yoyote ya kisheria yanayotokana nayo. <br> +Tumia zana hii kwa uwajibikaji na kwa kufuata sheria zote zinazotumika. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Asante kwa kuwaunga mkono wasanidi wa ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Endesha kwa ndani + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Endesha kwa Mbali +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Kiolesura cha GUI +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Bofya ili kuona picha za GUI ya Wavuti</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Onyesho + +**Onyesho la Sauti Mpya ya Chaguo-msingi** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Maonyesho Zaidi</summary> + +**Sauti ya ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Sauti ya Siku ya Mvua** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Sauti ya Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Sauti ya David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Mfano** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Jedwali la Yaliyomo +- [ebook2audiobook](#-ebook2audiobook) +- [Vipengele](#features) +- [Kiolesura cha GUI](#gui-interface) +- [Onyesho](#demos) +- [Lugha Zinazoungwa Mkono](#supported-languages) +- [Mahitaji ya Chini](#hardware-requirements) +- [Matumizi](#instructions) + - [Endesha kwa Ndani](#instructions) + - [Kuzindua Kiolesura cha Wavuti cha Gradio](#instructions) + - [Matumizi ya Msingi ya Headless](#basic-usage) + - [Matumizi ya Modeli Maalum ya XTTS ya Headless](#example-of-custom-model-zip-upload) + - [Matokeo ya amri ya usaidizi](#help-command-output) + - [Endesha kwa Mbali](#run-remotely) + - [Docker](#docker) + - [Hatua za Kuendesha](#docker) + +- [Sauti Zilizopambwa](#cloned-voices) +- [Modeli za TTS Zilizoboreshwa](#fine-tuned-tts-models) + - [Mkusanyiko wa Modeli za TTS Zilizoboreshwa](#fine-tuned-tts-collection) + - [Funza XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Miundo ya eBook Inayoungwa Mkono](#supported-ebook-formats) +- [Miundo ya Matokeo](#output-and-process-formats) +- [Rudi kwa Toleo la zamani](#reverting-to-older-versions) +- [Matatizo ya Kawaida](#common-issues) +- [Shukrani za Pekee](#special-thanks) +- [Jedwali la Yaliyomo](#table-of-contents) + + +## Vipengele +- 🔧 **Injini za TTS zinazoungwa mkono**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Badilisha miundo mingi ya faili**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Eneo la Maandishi** ili kubadilisha moja kwa moja maandishi mafupi kuwa sauti +- 🔍 **Uchanganuzi wa OCR** kwa faili zenye kurasa za maandishi kama picha +- 🔊 **Maandishi-kwa-usemi ya ubora wa juu**, kutoka karibu wakati halisi hadi sauti karibu halisi +- 🗣️ **Unakili wa sauti wa hiari** kwa kutumia faili yako mwenyewe ya sauti +- 🌐 **Inaunga mkono lugha 1158** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Rafiki kwa rasilimali ndogo** — inaendeshwa kwa **2 GB RAM / 1 GB VRAM (kima cha chini)** +- 🎵 **Miundo ya matokeo ya kitabu cha sauti**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Lebo za SML zinaungwa mkono** — udhibiti wa kina wa mapumziko, vituo, ubadilishaji wa sauti na zaidi ([see below](#sml-tags-available)) +- 🧩 **Modeli maalum ya hiari** kwa kutumia modeli yako uliyofunza mwenyewe (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Modeli za mipangilio iliyowekwa awali zilizoboreshwa** zilizofunzwa na Timu ya E2A<br/> + <i>(Wasiliana nasi ikiwa unahitaji modeli za ziada zilizoboreshwa, au ikiwa ungependa kushiriki zako kwenye orodha rasmi ya mipangilio iliyowekwa awali)</i> + + +## Mahitaji ya Maunzi +- RAM 2GB chini, 8GB inapendekezwa. +- VRAM 1GB chini, 4GB inapendekezwa. +- Uboreshaji umewezeshwa ikiwa unaendeshwa kwenye windows (Docker pekee). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU ya Apple Silicon) + +*<i> Injini za kisasa za TTS ni polepole sana kwenye CPU, kwa hivyo tumia TTS za ubora wa chini kama YourTTS, Tacotron2 n.k.</i> + +## Lugha Zinazoungwa Mkono +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 lugha na lahaja hapa**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Miundo ya eBook Inayoungwa Mkono +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Matokeo bora**: `.epub` au `.mobi` kwa utambuzi wa sura kiotomatiki + +## Miundo ya Matokeo na uchakataji +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Muundo wa uchakataji unaweza kubadilishwa katika lib/conf.py + +## Lebo za SML zinazopatikana +- `[break]` — ukimya (anuwai nasibu **0.3–0.6 sec.**) +- `[pause]` — ukimya (anuwai nasibu **1.0–1.6 sec.**) +- `[pause:N]` — pumziko maalum (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — badilisha sauti kutoka kwa sauti ya chaguo-msingi au iliyochaguliwa kutoka GUI/CLI + +**Angalia repo yetu nyingine iliyojikita katika kuongeza SML kiotomatiki katika eBook yako -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Kabla ya kutuma tatizo la usakinishaji au hitilafu, tafuta kwa makini katika KICHUPO cha matatizo yaliyofunguliwa na yaliyofungwa<br> +ili kuhakikisha tatizo lako halipo tayari.** + +>[!NOTE] +**Muundo wa EPUB hauna muundo wowote wa kawaida kama vile sura ni nini, aya, dibaji n.k.<br> +Kwa hivyo unapaswa kwanza kuondoa kwa mkono maandishi yoyote ambayo hutaki kubadilishwa kuwa sauti.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Sakinisha / Endesha ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Kizinduzi cha Mac** + Bofya mara mbili `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Kumbuka kwa watumiaji wa Windows: scoop husakinishwa ili kusakinisha programu zinazokosekana bila ruhusa za msimamizi.</i> + +1. **Fungua Programu ya Wavuti**: Bofya URL iliyotolewa kwenye terminal ili kufikia programu ya wavuti na kubadilisha eBooks. `http://localhost:7860/` +2. **Kwa Kiungo cha Umma**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Ikiwa hati itasimamishwa na kuendeshwa tena, unahitaji kuonyesha upya kiolesura chako cha GUI cha gradio<br> +ili kuruhusu ukurasa wa wavuti uunganishe upya kwa soketi mpya ya muunganisho.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Njia ya faili yako ya eBook + - **[--voice]**: Njia ya faili ya unakili wa sauti (hiari) + - **[--language]**: Msimbo wa lugha katika ISO-639-3 (yaani: ita kwa Kiitaliano, eng kwa Kiingereza, deu kwa Kijerumani...).<br> + Lugha ya chaguo-msingi ni eng na --language ni hiari kwa lugha ya chaguo-msingi iliyowekwa katika ./lib/lang.py.<br> + Misimbo ya herufi 2 ya ISO-639-1 pia inaungwa mkono. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Njia ya faili ya `model_name.zip`, + ambayo lazima iwe na (kulingana na injini ya tts) faili zote za lazima<br> + (angalia ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +KUMBUKA: katika hali ya gradio/gui, ili kughairi ubadilishaji unaoendelea, bonyeza tu [X] kutoka kwa kipengele cha upakiaji wa eBook. +KIDOKEZO: ikiwa inahitaji pumziko zaidi, ongeza '[pause:3]' kwa sekunde 3 n.k. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Sauti Zilizopambwa +Unaweza kupakia sauti yoyote ya sauti katika muundo wowote wa sauti unaotumika, muda unaofaa ni karibu 1 hadi 5 mn. +Haijalishi ikiwa rekodi ina mandharinyuma ya kelele au muziki unaocheza juu yake — E2A itakusafishia sauti. + +Orodha ya sauti zilizojengwa ndani ni hasa kwa Kiingereza. Ikiwa unahitaji sauti katika lugha zingine kuwa rasmi +imeongezwa kwenye orodha, tafadhali wasiliana nasi na tutayaweka baada ya kutathminiwa. + +## Modeli za TTS Zilizoboreshwa (fine-tuned) +#### Boresha modeli yako mwenyewe ya XTTSv2 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Ondoa kelele kwenye data ya mafunzo + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Mkusanyiko wa Modeli za TTS Zilizoboreshwa + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Kwa modeli maalum ya XTTSv2, klipu ya sauti ya marejeleo ya sauti ni ya lazima: + +## Ubinafsishaji wako mwenyewe wa Ebook2Audiobook +Uko huru kurekebisha libs/conf.py ili kuongeza au kuondoa mipangilio unayotaka. Ikiwa unapanga kufanya hivyo, fanya tu +nakala ya conf.py asili ili kila sasisho la ebook2audiobook utahifadhi conf.py yako iliyorekebishwa na kuweka +tena ile asili. Lazima upange mchakato huo huo kwa models.py. Ikiwa unataka kuifanya modeli yako maalum +kuwa modeli rasmi iliyoboreshwa ya ebook2audiobook, tafadhali wasiliana nasi na tutaiongeza kwenye orodha ya mipangilio iliyowekwa awali. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Matatizo ya Kawaida: +- GPU yangu ya NVIDIA/ROCm/XPU/MPS haitambuliki?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU ni polepole (bora kwenye CPU smp ya seva) huku GPU ikiweza kuwa na ubadilishaji wa karibu wakati halisi. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Hata hivyo haina unakili wa sauti wa zero-shot, na ni sauti za ubora wa Siri, lakini ni haraka zaidi kwenye cpu). +- "Nina matatizo ya utegemezi" - Tumia tu docker, imejitosheleza kabisa na ina hali ya headless, + ongeza kigezo `--help` mwishoni mwa amri ya docker run kwa maelezo zaidi. +- "Ninapata tatizo la sauti iliyokatwa!" - TAFADHALI FUNGUA ISSUE KUHUSU HILI, + hatuzungumzi kila lugha na tunahitaji ushauri kutoka kwa watumiaji ili kuboresha mantiki ya kugawanya sentensi.😊 + +## ***** RAMANI YA BARABARA ***** +- Vipengele vyote vimefunguliwa kwa Michango ya umma ⭐ +- Msaada wowote kutoka kwa watu wanaozungumza lugha yoyote inayoungwa mkono ili kutusaidia kuboresha modeli ⭐ +- [x] Hakiki Vizuizi/Sura kabla ya kuanza ubadilishaji +- [ ] Hariri kwa sentensi iliyobadilishwa kwa mabadiliko ya maandishi ya kina +- [x] Ujumuishaji wa lebo za SML kwa sauti, pumziko, mapumziko, na mabadiliko zaidi +- [x] Taarifa za vigezo -h -help katika lugha tofauti +- [x] Uchanganuzi wa OCR kwa PDF / JPG / BMP / PNG / TIFF +- [x] Folda ya Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Kufanya ugawanyaji wa maandishi ya Kichina usigawanye maneno na kuboresha muda wa mapumziko [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Daftari la Kaggle +- [x] Daftari la Google Colab +- [ ] Ujumuishaji wa Audiobookshelf +- [ ] [Tengeneza programu ya IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Tengeneza programu ya android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Chaguo za Ziada +- [x] Chaguo la Tafsiri ya eBook +- [x] Chaguo za muundo wa matokeo +- [x] Folda ya eBook ya kundi +- [x] Ubadilishaji wa uchakataji-nyingi +- [x] Ubadilishaji wa folda ya eBook ya kundi +- [x] Utambuzi wa Kifaa cha GPU +- [x] Ondoa kelele kwenye sauti yoyote ya marejeleo kwa upakiaji wa unakili wa sauti, +- [x] Upakiaji wa modeli maalum (XTTSv2 pekee kwa sasa. zaidi kwa ombi) +- [ ] Ongeza modeli ya lugha ya Kireno cha Ulaya kwa angalau xttsv2, fairseq, vits, piper (msaada unakaribishwa) +- [ ] Ongeza modeli ya lugha ya Kisindhi kwa angalau xttsv2, fairseq, vits, piper (msaada unakaribishwa) + +#### Injini za TTS +- [x] XTTSv2 +- [x] ngano +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Usipoteze muda wan +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] msemo wa samaki (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] sanduku la mazungumzo (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Kanda (https://github.com/Zyphra/Zonos) +- [ ] Mtindo-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Tafsiri ya Readme +- [x] Kiarabu (ara) +- [x] Kichina (zho) +- [x] English (eng) +- [x] Kihispania (spa) +- [x] Kifaransa (fra) +- [x] Kijerumani (deu) +- [x] Kiitaliano (ita) +- [x] Kireno (por) +- [x] Kipolandi (pol) +- [x] Kituruki (tur) +- [x] Kirusi (rus) +- [x] Kiholanzi (nld) +- [x] Kicheki (ces) +- [x] Kijapani (jpn) +- [x] Kihindi (hin) +- [x] Kibengali (ben) +- [x] Kihungaria (hun) +- [x] Kikorea (kor) +- [x] Kivietinamu (vie) +- [x] Kiswidi (swe) +- [x] Kiajemi (fas) +- [x] Kiyoruba (yor) +- [x] Kiswahili (swa) +- [x] Kiindonesia (ind) +- [x] Kislovakia (slk) +- [x] Kikroeshia (hrv) + +#### 🐍 Uoanifu wa OS +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Ziada ya Kupita Kiasi kwa kufunza modeli na mengineyo (Modeli zote za Coqui-tts zinazoungwa mkono na piper-tts katika amri moja rahisi) +- Kwa maelezo kuhusu hili @DrewThomasson, kwa sasa anafanyia kazi maendeleo ya hili, [repo inayoendelea hapa](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Tengeneza gui ya mafunzo rahisi kutumia kwa modeli zote za coqui-tts katika maagizo ya mafunzo ya muundo wa ljspeech [hapa kutoka coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Maelezo ya usanifishaji wa Msimbo wa Python kwa wachangiaji +- hakuna mstari tupu kati ya msimbo, isipokuwa kati ya kazi na madarasa. +- nukuu moja inatumika kwa funguo zote isipokuwa kwa dict() na json. dict['key'] huitwa kila wakati kwa nukuu moja +- mwingizo wa nafasi 4, sio tab hata kidogo +- uchapaji mkali kwa kazi zote na tamko la hoja zake na thamani za kurudi +- hakuna nafasi kati ya hoja na uchapaji wake, hakuna nafasi kati ya kazi, "->" na thamani ya kurudi + +Mfano: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Mchango wa maunzi kwa majaribio ya beta unahitajika +Tunakubali aina yoyote ya maunzi ili kujaribu maendeleo yetu kama vile: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson ikiwa unataka kusaidia kwa namna yoyote ile! 😃 +<!-- +## Je, unahitaji kukodisha GPU ili kuongeza huduma kutoka kwetu? +- Kura ya maoni imefunguliwa hapa https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Shukrani za Pekee +Kwa wachangiaji wote wa kifedha na msimbo, kila mchango na pendekezo husaidia kuboresha ubora wa E2A. \ No newline at end of file diff --git a/readme/README_swe.md b/readme/README_swe.md new file mode 100644 index 0000000..0557473 --- /dev/null +++ b/readme/README_swe.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +CPU/GPU-omvandlare från e-bok till ljudbok med kapitel och metadata<br/> +med avancerade TTS-motorer och mycket mer.<br/> +Stöder röstkloning och 1158 språk! +> [!IMPORTANT] +**Detta verktyg är endast avsett att användas med DRM-fria, lagligt förvärvade e-böcker.** <br> +Författarna ansvarar inte för något missbruk av denna programvara eller för eventuella rättsliga följder. <br> +Använd detta verktyg ansvarsfullt och i enlighet med alla tillämpliga lagar. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Tack för att du stöder utvecklarna av ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Kör lokalt + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Kör på distans +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafiskt gränssnitt (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Klicka för att se bilder på webb-GUI:t</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demos + +**Demo av den nya standardrösten** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Fler demos</summary> + +**ASMR-röst** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Regnig dag-röst** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett-röst** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough-röst** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Exempel** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Innehållsförteckning +- [ebook2audiobook](#-ebook2audiobook) +- [Funktioner](#features) +- [Grafiskt gränssnitt](#gui-interface) +- [Demos](#demos) +- [Språk som stöds](#supported-languages) +- [Minimikrav](#hardware-requirements) +- [Användning](#instructions) + - [Kör lokalt](#instructions) + - [Starta Gradio-webbgränssnittet](#instructions) + - [Grundläggande användning i headless-läge](#basic-usage) + - [Användning av anpassad XTTS-modell i headless-läge](#example-of-custom-model-zip-upload) + - [Utdata från hjälpkommandot](#help-command-output) + - [Kör på distans](#run-remotely) + - [Docker](#docker) + - [Steg för att köra](#docker) + +- [Klonade röster](#cloned-voices) +- [Finjusterade TTS-modeller](#fine-tuned-tts-models) + - [Samling av finjusterade TTS-modeller](#fine-tuned-tts-collection) + - [Träna XTTSv2](#fine-tune-your-own-xttsv2-model) +- [E-boksformat som stöds](#supported-ebook-formats) +- [Utdataformat](#output-and-process-formats) +- [Återgå till en äldre version](#reverting-to-older-versions) +- [Vanliga problem](#common-issues) +- [Särskilt tack](#special-thanks) +- [Innehållsförteckning](#table-of-contents) + + +## Funktioner +- 🔧 **TTS-motorer som stöds**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Konvertera flera filformat**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Textområde** för att direkt konvertera en kort text till ljud +- 🔍 **OCR-skanning** för filer med textsidor som bilder +- 🔊 **Högkvalitativ text-till-tal**, från nära realtid till en nästan verklig röst +- 🗣️ **Valfri röstkloning** med din egen röstfil +- 🌐 **Stöder 1158 språk** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Resurssnål** — körs på **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Utdataformat för ljudbok**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML-taggar stöds** — finkornig kontroll av avbrott, pauser, röstbyte och mer ([see below](#sml-tags-available)) +- 🧩 **Valfri anpassad modell** med din egen tränade modell (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Finjusterade förinställda modeller** tränade av E2A-teamet<br/> + <i>(Kontakta oss om du behöver ytterligare finjusterade modeller, eller om du vill dela dina egna i den officiella förinställningslistan)</i> + + +## Hårdvarukrav +- 2 GB RAM min., 8 GB rekommenderas. +- 1 GB VRAM min., 4 GB rekommenderas. +- Virtualisering aktiverad vid körning på Windows (endast Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon-CPU) + +*<i> Moderna TTS-motorer är mycket långsamma på CPU, så använd TTS av lägre kvalitet som YourTTS, Tacotron2 osv.</i> + +## Språk som stöds +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 språk och dialekter här**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## E-boksformat som stöds +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Bästa resultat**: `.epub` eller `.mobi` för automatisk kapiteldetektering + +## Utdata- och bearbetningsformat +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Bearbetningsformatet kan ändras i lib/conf.py + +## Tillgängliga SML-taggar +- `[break]` — tystnad (slumpmässigt intervall **0.3–0.6 sec.**) +- `[pause]` — tystnad (slumpmässigt intervall **1.0–1.6 sec.**) +- `[pause:N]` — fast paus (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — byt röst från standard- eller vald röst från GUI/CLI + +**Kolla in vårt andra repo som är dedikerat till att lägga till SML automatiskt i din e-bok -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Innan du rapporterar ett installations- eller buggproblem, sök noggrant i fliken med öppna och stängda ärenden<br> +för att vara säker på att ditt problem inte redan finns.** + +>[!NOTE] +**EPUB-formatet saknar all standardstruktur för vad som är ett kapitel, ett stycke, ett förord osv.<br> +Du bör därför först manuellt ta bort all text som du inte vill omvandla till ljud.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Installera / Kör ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac-startprogram** + Dubbelklicka på `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Notera för Windows-användare: scoop installeras för att installera saknade program utan administratörsbehörighet.</i> + +1. **Öppna webbappen**: Klicka på URL:en som anges i terminalen för att komma åt webbappen och konvertera e-böcker. `http://localhost:7860/` +2. **För en offentlig länk**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Om skriptet stoppas och körs igen måste du uppdatera ditt Gradio-GUI-gränssnitt<br> +så att webbsidan kan återansluta till den nya anslutningssocketen.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Sökväg till din e-boksfil + - **[--voice]**: Sökväg till fil för röstkloning (valfritt) + - **[--language]**: Språkkod i ISO-639-3 (dvs.: ita för italienska, eng för engelska, deu för tyska...).<br> + Standardspråket är eng och --language är valfritt för standardspråket som anges i ./lib/lang.py.<br> + De tvåbokstaviga ISO-639-1-koderna stöds också. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Sökväg till filen `model_name.zip`, + som måste innehålla (beroende på TTS-motorn) alla obligatoriska filer<br> + (se ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTERA: i gradio/gui-läget avbryter du en pågående konvertering genom att helt enkelt klicka på [X] i komponenten för e-boksuppladdning. +TIPS: om det behövs lite mer paus, lägg till '[pause:3]' för 3 sek. osv. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klonade röster +Du kan ladda upp valfritt röstljud i något av de ljudformat som stöds, den ideala varaktigheten är cirka 1 till 5 minuter. +Det spelar ingen roll om inspelningen har en bullrig bakgrund eller musik som spelas över den — E2A kommer att städa upp rösten åt dig. + +Den inbyggda klonade röstlistan är huvudsakligen på engelska. Om du behöver röster på andra språk för att vara officiellt +tillagd i listan, vänligen kontakta oss så lägger vi till dem efter granskning. + +## Finjusterade (fine-tuned) TTS-modeller +#### Finjustera din egen XTTSv2-modell + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Brusreducera träningsdata + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Samling av finjusterade TTS-modeller + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +För en anpassad XTTSv2-modell är ett referensljudklipp av rösten obligatoriskt: + +## Din egen anpassning av Ebook2Audiobook +Du är fri att ändra libs/conf.py för att lägga till eller ta bort de inställningar du vill. Om du planerar att göra det, gör helt enkelt +en kopia av den ursprungliga conf.py så att du vid varje ebook2audiobook-uppdatering kan säkerhetskopiera din ändrade conf.py och lägga +tillbaka originalet. Du måste planera samma process för models.py. Om du vill göra din egen anpassade modell +till en officiell finjusterad ebook2audiobook-modell, kontakta oss så lägger vi till den i förinställningslistan. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Vanliga problem: +- Min NVIDIA/ROCm/XPU/MPS-GPU upptäcks inte?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU:n är långsam (bättre på en server-SMP-CPU) medan GPU:n kan ha nästan realtidskonvertering. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Den har dock inte zero-shot-röstkloning, och rösterna är av Siri-kvalitet, men den är mycket snabbare på CPU). +- "Jag har problem med beroenden" - Använd bara Docker, den är helt fristående och har ett headless-läge, + lägg till parametern `--help` i slutet av docker run-kommandot för mer information. +- "Jag har ett problem med avklippt ljud!" - VÄNLIGEN SKAPA ETT ÄRENDE OM DETTA, + vi talar inte alla språk och behöver råd från användare för att finjustera logiken för meningsdelning.😊 + +## ***** FÄRDPLAN ***** +- Alla funktioner öppna för offentliga bidrag ⭐ +- All hjälp från personer som talar något av de språk som stöds för att hjälpa oss förbättra modellerna ⭐ +- [x] Förhandsgranska block/kapitel innan konverteringen startar +- [ ] Redigering per konverterad mening för kirurgisk textändring +- [x] Integrering av SML-taggar för röst, paus, avbrott och fler ändringar +- [x] Info om parametrarna -h -help på olika språk +- [x] OCR-skanning för PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks-mapp [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Få kinesisk textdelning att inte dela ord och förbättra pausernas timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle-notebook +- [x] Google Colab-notebook +- [ ] Audiobookshelf-integrering +- [ ] [Skapa en iOS-app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Skapa en Android-app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Extra alternativ +- [x] Alternativ för e-boksöversättning +- [x] Val av utdataformat +- [x] Batch-e-boksmapp +- [x] Konvertering med multiprocessing +- [x] Batchkonvertering av en e-boksmapp +- [x] Detektering av GPU-enhet +- [x] Brusreducera valfritt referensljud för uppladdad röstkloning, +- [x] Uppladdning av anpassad modell (endast XTTSv2 för närvarande. mer på begäran) +- [ ] Lägg till en europeisk portugisisk språkmodell för åtminstone xttsv2, fairseq, vits, piper (hjälp välkomnas) +- [ ] Lägg till en sindhi-språkmodell för åtminstone xttsv2, fairseq, vits, piper (hjälp välkomnas) + +#### TTS-motorer +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Landsköldpaddor +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fisk-tal (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chattlåda (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonisk (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zoner (https://github.com/Zyphra/Zonos) +- [ ] Stil-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme-översättning +- [x] Arabiska (ara) +- [x] Kinesiska (zho) +- [x] English (eng) +- [x] Spanska (spa) +- [x] Franska (från) +- [x] Tyska (DEU) +- [x] Italienska (ita) +- [x] Portugisiska (por) +- [x] Polska (pol) +- [x] Turkiska (tur) +- [x] Ryska (rus) +- [x] Nederländska (nld) +- [x] Tjeckiska (ces) +- [x] Japanska (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Ungerska (hun) +- [x] Koreanska (kor) +- [x] Vietnamesiska (VIE) +- [x] Svenska (Swe) +- [x] Persiska (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesiska (ind) +- [x] Slovakiska (slk) +- [x] Kroatiska (hrv) + +#### 🐍 Kompatibilitet med operativsystem +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra overkill för att träna modeller och liknande (alla Coqui-tts-modeller som stöds och piper-tts i ett enkelt kommando) +- För information om detta: @DrewThomasson arbetar för närvarande med utvecklingen av detta, [pågående repo här](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Skapa ett lättanvänt tränings-GUI för alla coqui-tts-modeller i träningsrecepten i ljspeech-format [här från coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Information om normalisering av Python-kod för bidragsgivare +- ingen tom rad mellan koden, utom mellan funktioner och klasser. +- enkla citattecken används för alla nycklar utom för dict() och json. dict['key'] anropas alltid med enkla citattecken +- 4 mellanslags indrag, inga tabbar alls +- strikt typning för alla funktioner och deklarationen av deras argument och returvärden +- inget mellanslag mellan argumentet och dess typning, inget mellanslag mellan funktionen, "->" och returvärdet + +Exempel: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hårdvarudonation för betatester sökes +Vi tar emot alla typer av hårdvara för att testa vår utveckling, till exempel: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson om du vill hjälpa till på något sätt! 😃 +<!-- +## Behöver du hyra en GPU för att förstärka vår tjänst? +- En omröstning är öppen här https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Särskilt tack +Till alla ekonomiska och kodbidragsgivare bidrar varje bidrag och förslag till att förbättra kvaliteten på E2A. \ No newline at end of file diff --git a/readme/README_tur.md b/readme/README_tur.md new file mode 100644 index 0000000..1e315ce --- /dev/null +++ b/readme/README_tur.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +E-Kitaptan bölümler ve meta verilerle sesli kitaba CPU/GPU dönüştürücü<br/> +gelişmiş TTS motorları ve çok daha fazlasını kullanarak.<br/> +Ses klonlamayı ve 1158 dili destekler! +> [!IMPORTANT] +**Bu araç yalnızca DRM içermeyen, yasal olarak edinilmiş e-kitaplarla kullanılmak üzere tasarlanmıştır.** <br> +Yazarlar, bu yazılımın herhangi bir şekilde kötüye kullanılmasından veya bundan kaynaklanan yasal sonuçlardan sorumlu değildir. <br> +Bu aracı sorumlu bir şekilde ve geçerli tüm yasalara uygun olarak kullanın. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### ebook2audiobook geliştiricilerini desteklediğiniz için teşekkürler! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Yerel olarak çalıştırma + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Uzaktan çalıştırma +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Grafik Arayüz (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Web GUI görüntülerini görmek için tıklayın</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demolar + +**Yeni Varsayılan Ses Demosu** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Daha fazla demo</summary> + +**ASMR Sesi** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Yağmurlu Gün Sesi** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett Sesi** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough Sesi** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Örnek** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## İçindekiler +- [ebook2audiobook](#-ebook2audiobook) +- [Özellikler](#features) +- [Grafik Arayüz](#gui-interface) +- [Demolar](#demos) +- [Desteklenen Diller](#supported-languages) +- [Minimum Gereksinimler](#hardware-requirements) +- [Kullanım](#instructions) + - [Yerel Olarak Çalıştırma](#instructions) + - [Gradio Web Arayüzünü Başlatma](#instructions) + - [Temel Headless Kullanımı](#basic-usage) + - [Headless Özel XTTS Model Kullanımı](#example-of-custom-model-zip-upload) + - [Yardım komutu çıktısı](#help-command-output) + - [Uzaktan Çalıştırma](#run-remotely) + - [Docker](#docker) + - [Çalıştırma Adımları](#docker) + +- [Klonlanmış Sesler](#cloned-voices) +- [İnce Ayarlı TTS modelleri](#fine-tuned-tts-models) + - [İnce Ayarlı TTS Modelleri Koleksiyonu](#fine-tuned-tts-collection) + - [XTTSv2 Eğitimi](#fine-tune-your-own-xttsv2-model) +- [Desteklenen E-Kitap Biçimleri](#supported-ebook-formats) +- [Çıktı Biçimleri](#output-and-process-formats) +- [Eski Sürüme Geri Dönme](#reverting-to-older-versions) +- [Yaygın Sorunlar](#common-issues) +- [Özel Teşekkürler](#special-thanks) +- [İçindekiler](#table-of-contents) + + +## Özellikler +- 🔧 **Desteklenen TTS Motorları**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Birden fazla dosya biçimini dönüştürme**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Metin Alanı** kısa bir metni doğrudan sese dönüştürmek için +- 🔍 **OCR taraması** metin sayfaları görüntü olan dosyalar için +- 🔊 **Yüksek kaliteli metinden konuşmaya**, neredeyse gerçek zamanlıdan neredeyse gerçek sese kadar +- 🗣️ **İsteğe bağlı ses klonlama** kendi ses dosyanızı kullanarak +- 🌐 **1158 dili destekler** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Düşük kaynak dostu** — **2 GB RAM / 1 GB VRAM (minimum)** ile çalışır +- 🎵 **Sesli kitap çıktı biçimleri**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML etiketleri desteklenir** — kesintiler, duraklamalar, ses değiştirme ve daha fazlasının ince ayarlı kontrolü ([see below](#sml-tags-available)) +- 🧩 **İsteğe bağlı özel model** kendi eğittiğiniz modeli kullanarak (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **E2A Ekibi tarafından eğitilmiş ince ayarlı ön ayar modelleri**<br/> + <i>(Ek ince ayarlı modellere ihtiyacınız olursa veya kendinizinkileri resmi ön ayar listesinde paylaşmak isterseniz bizimle iletişime geçin)</i> + + +## Donanım Gereksinimleri +- 2 GB RAM min., 8 GB önerilir. +- 1 GB VRAM min., 4 GB önerilir. +- Windows üzerinde çalıştırılıyorsa sanallaştırma etkin (yalnızca Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +*<i> Modern TTS motorları CPU'da çok yavaştır, bu yüzden YourTTS, Tacotron2 gibi daha düşük kaliteli TTS kullanın.</i> + +## Desteklenen Diller +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 dil ve lehçe burada**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Desteklenen E-Kitap Biçimleri +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **En iyi sonuçlar**: otomatik bölüm algılama için `.epub` veya `.mobi` + +## Çıktı ve işlem Biçimleri +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- İşlem biçimi lib/conf.py dosyasında değiştirilebilir + +## Kullanılabilir SML etiketleri +- `[break]` — sessizlik (rastgele aralık **0.3–0.6 sec.**) +- `[pause]` — sessizlik (rastgele aralık **1.0–1.6 sec.**) +- `[pause:N]` — sabit duraklama (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — varsayılan sesten veya GUI/CLI'den seçilen sesten ses değiştirme + +**E-kitabınıza otomatik olarak SML eklemeye adanmış diğer deposumuza göz atın -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Bir kurulum veya hata sorunu göndermeden önce, açık ve kapalı sorunlar sekmesini dikkatlice arayın<br> +sorununuzun zaten var olmadığından emin olmak için.** + +>[!NOTE] +**EPUB biçimi, bölüm, paragraf, önsöz vb. şeylerin ne olduğunu tanımlayan herhangi bir standart yapıdan yoksundur.<br> +Bu yüzden önce sese dönüştürmek istemediğiniz her metni manuel olarak kaldırmalısınız.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **ebook2audiobook'u kurun / çalıştırın**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac Başlatıcı** + `Mac Ebook2Audiobook Launcher.command` dosyasına çift tıklayın + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windows kullanıcıları için not: yönetici ayrıcalıkları olmadan eksik programları kurmak için scoop kurulur.</i> + +1. **Web Uygulamasını açın**: Web uygulamasına erişmek ve e-kitapları dönüştürmek için terminalde verilen URL'ye tıklayın. `http://localhost:7860/` +2. **Genel Bağlantı için**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Komut dosyası durdurulup tekrar çalıştırılırsa, Gradio GUI arayüzünüzü yenilemeniz gerekir<br> +web sayfasının yeni bağlantı soketine yeniden bağlanmasına izin vermek için.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: E-kitap dosyanızın yolu + - **[--voice]**: Ses klonlama dosyası yolu (isteğe bağlı) + - **[--language]**: ISO-639-3 formatında dil kodu (örn.: İtalyanca için ita, İngilizce için eng, Almanca için deu...).<br> + Varsayılan dil eng'dir ve --language, ./lib/lang.py içinde ayarlanan varsayılan dil için isteğe bağlıdır.<br> + 2 harfli ISO-639-1 kodları da desteklenir. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: `model_name.zip` dosyasının yolu, + bu dosya (TTS motoruna göre) tüm zorunlu dosyaları içermelidir<br> + (bkz. ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOT: gradio/gui modunda, çalışan bir dönüştürmeyi iptal etmek için e-kitap yükleme bileşenindeki [X] üzerine tıklamanız yeterlidir. +İPUCU: biraz daha duraklamaya ihtiyaç varsa, 3 sn. için '[pause:3]' ekleyin vb. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Klonlanmış Sesler +Desteklenen ses formatlarından herhangi birinde herhangi bir ses dosyasını yükleyebilirsiniz, ideal süre yaklaşık 1 ila 5 dakikadır. +Kaydın gürültülü bir arka plana sahip olması veya üzerinde müzik çalması önemli değildir — E2A sesi sizin için temizleyecektir. + +Yerleşik klonlanmış sesler listesi esas olarak İngilizcedir. Resmi olarak başka dillerde seslere ihtiyacınız varsa +listeye eklendi, lütfen bizimle iletişime geçin. İncelemeden sonra bunları ekleyeceğiz. + +## İnce Ayarlı (fine-tuned) TTS modelleri +#### Kendi XTTSv2 modelinizi ince ayarlayın + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Eğitim verilerinin gürültüsünü giderme + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### İnce Ayarlı TTS Modelleri Koleksiyonu + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Özel bir XTTSv2 modeli için sesin referans ses klibi zorunludur: + +## Kendi Ebook2Audiobook özelleştirmeniz +İstediğiniz ayarları eklemek veya kaldırmak için libs/conf.py dosyasını değiştirmekte özgürsünüz. Bunu yapmayı planlıyorsanız, sadece +orijinal conf.py dosyasının bir kopyasını alın, böylece her ebook2audiobook güncellemesinde değiştirilmiş conf.py dosyanızı yedekleyip +orijinalini geri koyabilirsiniz. Aynı süreci models.py için de planlamalısınız. Kendi özel modelinizi +resmi bir ince ayarlı ebook2audiobook modeli yapmak isterseniz, lütfen bizimle iletişime geçin, onu ön ayar listesine ekleyelim. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Yaygın Sorunlar: +- NVIDIA/ROCm/XPU/MPS GPU'm algılanmıyor mu?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU yavaştır (sunucu smp CPU'sunda daha iyi), GPU ise neredeyse gerçek zamanlı dönüştürme yapabilir. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Ancak zero-shot ses klonlaması yoktur ve sesler Siri kalitesindedir, ama cpu'da çok daha hızlıdır). +- "Bağımlılık sorunları yaşıyorum" - Sadece Docker'ı kullanın, tamamen bağımsızdır ve headless modu vardır, + daha fazla bilgi için docker run komutunun sonuna `--help` parametresini ekleyin. +- "Kesik ses sorunu yaşıyorum!" - LÜTFEN BUNUNLA İLGİLİ BİR ISSUE AÇIN, + her dili konuşmuyoruz ve cümle bölme mantığını ince ayarlamak için kullanıcıların tavsiyesine ihtiyacımız var.😊 + +## ***** YOL HARİTASI ***** +- Tüm Özellikler kamuya açık Katkılara açık ⭐ +- Modelleri geliştirmemize yardımcı olmak için desteklenen dillerden herhangi birini konuşan kişilerden gelen her türlü yardım ⭐ +- [x] Dönüştürmeyi başlatmadan önce Blokları/Bölümleri önizleme +- [ ] Cerrahi metin değişikliği için dönüştürülen cümleye göre düzenleme +- [x] Ses, duraklama, kesinti ve daha fazla değişiklik için SML etiketi entegrasyonu +- [x] Farklı dillerde -h -help parametre bilgisi +- [x] PDF / JPG / BMP / PNG / TIFF için OCR taraması +- [x] Notebooklar Klasörü [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Çince metin bölmenin kelimeleri bölmemesini sağlamak ve duraklama zamanlamasını iyileştirmek [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf entegrasyonu +- [ ] [Bir iOS uygulaması yapmak](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Bir android uygulaması yapmak](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Ekstra Seçenekler +- [x] E-kitap Çeviri seçeneği +- [x] Çıktı biçimi seçenekleri +- [x] Toplu e-kitap klasörü +- [x] Çoklu işlemeyle dönüştürme +- [x] Toplu e-kitap klasörü dönüştürme +- [x] GPU Aygıt algılama +- [x] Yüklenen ses klonlama için herhangi bir referans sesin gürültüsünü gider, +- [x] Özel model yükleme (şimdilik yalnızca XTTSv2. istek üzerine daha fazlası) +- [ ] En azından xttsv2, fairseq, vits, piper için Avrupa Portekizcesi dil modeli ekleme (yardım memnuniyetle karşılanır) +- [ ] En azından xttsv2, fairseq, vits, piper için Sindhi dil modeli ekleme (yardım memnuniyetle karşılanır) + +#### TTS motorları +- [x] XTTSv2 +- [x] Ağaç kabuğu +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Kara kaplumbağası +- [x] GlowTTS +- [x] Piper +- [ ] GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish - speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index - tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Stil - TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme Çevirisi +- [x] Arapça (ara) +- [x] Çince (zho) +- [x] English (eng) +- [x] İspanyolca (spa) +- [x] Fransızca (fra) +- [x] Almanca (deu) +- [x] İtalyanca (ita) +- [x] Portekizce (por) +- [x] Lehçe (pol) +- [x] Türkçe (tur) +- [x] Rusça (Rusça) +- [x] Felemenkçe (Nld) +- [x] Çekçe (ces) +- [x] Japonca (jpn) +- [x] Hintçe (hin) +- [x] Bengalce (ben) +- [x] Macarca (Hun) +- [x] Korece (kor) +- [x] Vietnamca (VIe) +- [x] İsveççe (Swe) +- [x] Farsça (fas) +- [x] Yoruba (yor) +- [x] Svahili dili (swa) +- [x] Endonezce (ind) +- [x] Slovakça (slk) +- [x] Hırvatça (hrv) + +#### 🐍 İşletim Sistemi Uyumluluğu +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Model eğitmek ve benzeri işler için Ekstra Abartı (desteklenen tüm Coqui-tts modelleri ve piper-tts tek bir kolay komutta) +- Bununla ilgili bilgi için @DrewThomasson, şu anda bunun geliştirilmesi üzerinde çalışıyor, [devam eden çalışma deposu burada](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] ljspeech formatındaki eğitim tariflerinde tüm coqui-tts modelleri için kullanımı kolay bir eğitim gui'si yapmak [coqui tts'ten burada](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Katkıda bulunanlar için Python Kodu normalleştirme bilgileri +- fonksiyonlar ve sınıflar arasında olması dışında, kod arasında boş satır yok. +- dict() ve json dışında tüm anahtarlar için tek tırnak kullanılır. dict['key'] her zaman tek tırnakla çağrılır +- 4 boşluk girinti, hiç sekme yok +- tüm fonksiyonlar ve bunların argüman bildirimleri ile dönüş değerleri için katı tipleme +- argüman ile tiplemesi arasında boşluk yok, fonksiyon, "->" ve dönüş değeri arasında boşluk yok + +Örnek: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Beta testleri için donanım bağışı aranıyor +Geliştirmemizi test etmek için her türlü donanımı kabul ediyoruz, örneğin: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson herhangi bir şekilde yardım etmek isterseniz! 😃 +<!-- +## Hizmetimizi güçlendirmek için bir GPU kiralamanız mı gerekiyor? +- Burada bir anket açık https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Özel Teşekkürler +Tüm mali ve koda katkıda bulunanlara, her katkı ve öneri E2A'nın kalitesini artırmaya yardımcı olur. \ No newline at end of file diff --git a/readme/README_vie.md b/readme/README_vie.md new file mode 100644 index 0000000..6fb530a --- /dev/null +++ b/readme/README_vie.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Bộ chuyển đổi CPU/GPU từ sách điện tử sang sách nói với các chương và siêu dữ liệu<br/> +sử dụng các engine TTS tiên tiến và nhiều hơn nữa.<br/> +Hỗ trợ nhân bản giọng nói và 1158 ngôn ngữ! +> [!IMPORTANT] +**Công cụ này chỉ dành để sử dụng với các sách điện tử không có DRM và được mua hợp pháp.** <br> +Các tác giả không chịu trách nhiệm cho bất kỳ việc lạm dụng phần mềm này hay bất kỳ hậu quả pháp lý nào phát sinh. <br> +Hãy sử dụng công cụ này một cách có trách nhiệm và tuân thủ mọi luật hiện hành. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Cảm ơn bạn đã hỗ trợ các nhà phát triển ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Chạy cục bộ + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Chạy từ xa +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Giao diện đồ họa (GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Nhấp để xem hình ảnh của GUI web</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Bản demo + +**Bản demo giọng mặc định mới** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Thêm bản demo</summary> + +**Giọng ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Giọng ngày mưa** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Giọng Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Giọng David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Ví dụ** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Mục lục +- [ebook2audiobook](#-ebook2audiobook) +- [Tính năng](#features) +- [Giao diện đồ họa](#gui-interface) +- [Bản demo](#demos) +- [Ngôn ngữ được hỗ trợ](#supported-languages) +- [Yêu cầu tối thiểu](#hardware-requirements) +- [Cách dùng](#instructions) + - [Chạy cục bộ](#instructions) + - [Khởi chạy giao diện web Gradio](#instructions) + - [Cách dùng Headless cơ bản](#basic-usage) + - [Cách dùng mô hình XTTS tùy chỉnh ở chế độ Headless](#example-of-custom-model-zip-upload) + - [Đầu ra lệnh trợ giúp](#help-command-output) + - [Chạy từ xa](#run-remotely) + - [Docker](#docker) + - [Các bước để chạy](#docker) + +- [Cloned Voices](#cloned-voices) +- [Các mô hình TTS đã tinh chỉnh](#fine-tuned-tts-models) + - [Bộ sưu tập các mô hình TTS đã tinh chỉnh](#fine-tuned-tts-collection) + - [Huấn luyện XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Định dạng sách điện tử được hỗ trợ](#supported-ebook-formats) +- [Định dạng đầu ra](#output-and-process-formats) +- [Quay lại phiên bản cũ hơn](#reverting-to-older-versions) +- [Các vấn đề thường gặp](#common-issues) +- [Lời cảm ơn đặc biệt](#special-thanks) +- [Mục lục](#table-of-contents) + + +## Tính năng +- 🔧 **Các engine TTS được hỗ trợ**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Chuyển đổi nhiều định dạng tệp**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Vùng văn bản** để chuyển trực tiếp một đoạn văn bản ngắn thành âm thanh +- 🔍 **Quét OCR** cho các tệp có trang văn bản dưới dạng hình ảnh +- 🔊 **Chuyển văn bản thành giọng nói chất lượng cao**, từ gần thời gian thực đến giọng gần như thật +- 🗣️ **Nhân bản giọng nói tùy chọn** bằng tệp giọng nói của riêng bạn +- 🌐 **Hỗ trợ 1158 ngôn ngữ** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Thân thiện với tài nguyên thấp** — chạy trên **2 GB RAM / 1 GB VRAM (tối thiểu)** +- 🎵 **Định dạng đầu ra sách nói**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **Hỗ trợ thẻ SML** — kiểm soát chi tiết các điểm ngắt, khoảng dừng, chuyển giọng và hơn thế nữa ([see below](#sml-tags-available)) +- 🧩 **Mô hình tùy chỉnh tùy chọn** bằng mô hình do bạn tự huấn luyện (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Các mô hình thiết lập sẵn đã tinh chỉnh** được huấn luyện bởi Nhóm E2A<br/> + <i>(Liên hệ với chúng tôi nếu bạn cần thêm các mô hình đã tinh chỉnh, hoặc nếu bạn muốn chia sẻ mô hình của mình vào danh sách thiết lập sẵn chính thức)</i> + + +## Yêu cầu phần cứng +- 2 GB RAM tối thiểu, 8 GB khuyến nghị. +- 1 GB VRAM tối thiểu, 4 GB khuyến nghị. +- Bật ảo hóa nếu chạy trên Windows (chỉ Docker). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Các engine TTS hiện đại rất chậm trên CPU, vì vậy hãy dùng TTS chất lượng thấp hơn như YourTTS, Tacotron2, v.v.</i> + +## Ngôn ngữ được hỗ trợ +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 ngôn ngữ và phương ngữ tại đây**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Định dạng sách điện tử được hỗ trợ +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Kết quả tốt nhất**: `.epub` hoặc `.mobi` để tự động phát hiện chương + +## Định dạng đầu ra và xử lý +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Định dạng xử lý có thể được thay đổi trong lib/conf.py + +## Các thẻ SML có sẵn +- `[break]` — khoảng lặng (phạm vi ngẫu nhiên **0.3–0.6 sec.**) +- `[pause]` — khoảng lặng (phạm vi ngẫu nhiên **1.0–1.6 sec.**) +- `[pause:N]` — khoảng dừng cố định (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — chuyển giọng từ giọng mặc định hoặc giọng được chọn từ GUI/CLI + +**Hãy xem repo khác của chúng tôi dành riêng cho việc thêm SML tự động vào sách điện tử của bạn -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Trước khi đăng vấn đề cài đặt hoặc lỗi, hãy tìm kiếm cẩn thận trong tab các vấn đề đang mở và đã đóng<br> +để chắc chắn rằng vấn đề của bạn chưa tồn tại.** + +>[!NOTE] +**Định dạng EPUB thiếu bất kỳ cấu trúc chuẩn nào như thế nào là một chương, đoạn văn, lời nói đầu, v.v.<br> +Vì vậy, trước tiên bạn nên xóa thủ công bất kỳ văn bản nào bạn không muốn chuyển thành âm thanh.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Cài đặt / Chạy ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Trình khởi chạy Mac** + Nhấp đúp vào `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Lưu ý cho người dùng Windows: scoop được cài đặt để cài các chương trình còn thiếu mà không cần quyền quản trị viên.</i> + +1. **Mở ứng dụng Web**: Nhấp vào URL được cung cấp trong terminal để truy cập ứng dụng web và chuyển đổi sách điện tử. `http://localhost:7860/` +2. **Để có liên kết công khai**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Nếu tập lệnh bị dừng và chạy lại, bạn cần làm mới giao diện GUI Gradio của mình<br> +để trang web kết nối lại với socket kết nối mới.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Đường dẫn đến tệp sách điện tử của bạn + - **[--voice]**: Đường dẫn tệp nhân bản giọng nói (tùy chọn) + - **[--language]**: Mã ngôn ngữ ở ISO-639-3 (ví dụ: ita cho tiếng Ý, eng cho tiếng Anh, deu cho tiếng Đức...).<br> + Ngôn ngữ mặc định là eng và --language là tùy chọn cho ngôn ngữ mặc định được đặt trong ./lib/lang.py.<br> + Các mã ISO-639-1 gồm 2 chữ cái cũng được hỗ trợ. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Đường dẫn đến tệp `model_name.zip`, + tệp này phải chứa (tùy theo engine tts) tất cả các tệp bắt buộc<br> + (xem ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +LƯU Ý: ở chế độ gradio/gui, để hủy một quá trình chuyển đổi đang chạy, chỉ cần nhấp vào [X] trên thành phần tải lên sách điện tử. +MẸO: nếu cần thêm khoảng dừng, hãy thêm '[pause:3]' cho 3 giây, v.v. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Giọng nói được nhân bản +Bạn có thể tải lên bất kỳ âm thanh giọng nói nào ở bất kỳ định dạng âm thanh nào được hỗ trợ, thời lượng lý tưởng là khoảng 1 đến 5 phút. +Không có vấn đề gì nếu bản ghi âm có nền ồn ào hoặc phát nhạc trên đó — E2A sẽ làm sạch giọng nói cho bạn. + +Danh sách giọng nói nhân bản tích hợp chủ yếu bằng tiếng Anh. Nếu bạn cần giọng nói bằng các ngôn ngữ khác để được chính thức +đã thêm vào danh sách, vui lòng liên hệ với chúng tôi và chúng tôi sẽ thêm chúng sau khi đánh giá. + +## Các mô hình TTS đã tinh chỉnh (fine-tuned) +#### Tinh chỉnh mô hình XTTSv2 của riêng bạn + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Khử nhiễu dữ liệu huấn luyện + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Bộ sưu tập các mô hình TTS đã tinh chỉnh + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Đối với mô hình tùy chỉnh XTTSv2, một đoạn âm thanh tham chiếu của giọng nói là bắt buộc: + +## Tùy chỉnh Ebook2Audiobook của riêng bạn +Bạn được tự do sửa đổi libs/conf.py để thêm hoặc bớt các cài đặt mà bạn muốn. Nếu định làm vậy, chỉ cần tạo +một bản sao của conf.py gốc để mỗi lần cập nhật ebook2audiobook bạn sẽ sao lưu conf.py đã sửa đổi của mình và đặt +lại bản gốc. Bạn phải lên kế hoạch cho quy trình tương tự với models.py. Nếu bạn muốn biến mô hình tùy chỉnh của riêng mình +thành một mô hình ebook2audiobook đã tinh chỉnh chính thức, vui lòng liên hệ với chúng tôi và chúng tôi sẽ thêm nó vào danh sách thiết lập sẵn. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Các vấn đề thường gặp: +- GPU NVIDIA/ROCm/XPU/MPS của tôi không được phát hiện?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU chậm (tốt hơn trên CPU smp máy chủ) trong khi GPU có thể chuyển đổi gần như thời gian thực. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Tuy nhiên nó không có nhân bản giọng nói zero-shot, và là giọng chất lượng Siri, nhưng nhanh hơn nhiều trên cpu). +- "Tôi gặp vấn đề về phụ thuộc" - Chỉ cần dùng docker, nó hoàn toàn độc lập và có chế độ headless, + thêm tham số `--help` ở cuối lệnh docker run để biết thêm thông tin. +- "Tôi gặp vấn đề âm thanh bị cắt cụt!" - VUI LÒNG TẠO MỘT ISSUE VỀ VIỆC NÀY, + chúng tôi không nói được mọi ngôn ngữ và cần lời khuyên từ người dùng để tinh chỉnh logic chia câu.😊 + +## ***** LỘ TRÌNH ***** +- Tất cả các Tính năng đều mở cho Đóng góp công khai ⭐ +- Mọi sự giúp đỡ từ những người nói bất kỳ ngôn ngữ nào được hỗ trợ để giúp chúng tôi cải thiện các mô hình ⭐ +- [x] Xem trước các Khối/Chương trước khi bắt đầu chuyển đổi +- [ ] Chỉnh sửa theo từng câu đã chuyển đổi để thay đổi văn bản chính xác +- [x] Tích hợp thẻ SML cho giọng nói, khoảng dừng, điểm ngắt và nhiều thay đổi hơn +- [x] Thông tin tham số -h -help bằng các ngôn ngữ khác nhau +- [x] Quét OCR cho PDF / JPG / BMP / PNG / TIFF +- [x] Thư mục Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Làm cho việc chia văn bản tiếng Trung không cắt từ và cải thiện thời gian dừng [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Tích hợp Audiobookshelf +- [ ] [Tạo một ứng dụng IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Tạo một ứng dụng android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Tùy chọn bổ sung +- [x] Tùy chọn dịch sách điện tử +- [x] Các lựa chọn định dạng đầu ra +- [x] Thư mục sách điện tử theo lô +- [x] Chuyển đổi đa xử lý +- [x] Chuyển đổi thư mục sách điện tử theo lô +- [x] Phát hiện thiết bị GPU +- [x] Khử nhiễu bất kỳ âm thanh tham chiếu nào cho việc tải lên nhân bản giọng nói, +- [x] Tải lên mô hình tùy chỉnh (hiện chỉ XTTSv2. thêm theo yêu cầu) +- [ ] Thêm mô hình ngôn ngữ tiếng Bồ Đào Nha châu Âu cho ít nhất xttsv2, fairseq, vits, piper (hoan nghênh sự giúp đỡ) +- [ ] Thêm mô hình ngôn ngữ tiếng Sindhi cho ít nhất xttsv2, fairseq, vits, piper (hoan nghênh sự giúp đỡ) + +#### Động cơ TTS +- [x] XTTSv2 +- [x] Vỏ cây +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Huyền Vũ +- [x] GlowTTS +- [x] Piper. +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] tiếng cá (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Siêu âm (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Kiểu-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Dịch Readme +- [x] Tiếng Ả Rập (ara) +- [x] Tiếng Trung (zho) +- [x] English (eng) +- [x] Tây Ban Nha (spa) +- [x] Tiếng Pháp (fra) +- [x] Tiếng Đức (deu) +- [x] Tiếng Ý (ita) +- [x] Tiếng Bồ Đào Nha (por) +- [x] Tiếng Ba Lan (pol) +- [x] Tiếng Thổ Nhĩ Kỳ (tur) +- [x] Tiếng Nga (rus) +- [x] Tiếng Hà Lan (nld) +- [x] Tiếng Séc (ces) +- [x] Tiếng Nhật (jpn) +- [x] Tiếng Hindi (hin) +- [x] Tiếng Bengali (ben) +- [x] Hungarian (hun) +- [x] Tiếng Hàn (kor) +- [x] Vietnamese (VIE) +- [x] Tiếng Thụy Điển (swe) +- [x] Tiếng Ba Tư (FAS) +- [x] Yoruba (yor) +- [x] Tiếng Swahili (swa) +- [x] Tiếng Indonesia (ind) +- [x] Tiếng Slovak (slk) +- [x] Tiếng Croatia (hrv) + +#### 🐍 Khả năng tương thích hệ điều hành +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Phần thừa thãi để huấn luyện mô hình và những thứ tương tự (tất cả các mô hình Coqui-tts được hỗ trợ và piper-tts trong một lệnh đơn giản) +- Để biết thông tin về việc này @DrewThomasson, anh ấy hiện đang phát triển nó, [repo đang trong quá trình thực hiện tại đây](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Tạo một gui huấn luyện dễ sử dụng cho tất cả các mô hình coqui-tts trong các công thức huấn luyện định dạng ljspeech [tại đây từ coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Thông tin chuẩn hóa mã Python cho người đóng góp +- không có dòng trống giữa mã, ngoại trừ giữa các hàm và lớp. +- dấu nháy đơn được dùng cho tất cả khóa ngoại trừ dict() và json. dict['key'] luôn được gọi bằng dấu nháy đơn +- thụt lề 4 dấu cách, hoàn toàn không dùng tab +- định kiểu nghiêm ngặt cho tất cả các hàm cũng như khai báo đối số và giá trị trả về của chúng +- không có dấu cách giữa đối số và định kiểu của nó, không có dấu cách giữa hàm, "->" và giá trị trả về + +Ví dụ: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Cần quyên góp phần cứng cho việc thử nghiệm beta +Chúng tôi chấp nhận bất kỳ loại phần cứng nào để thử nghiệm quá trình phát triển của mình, chẳng hạn như: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson nếu bạn muốn giúp đỡ bằng bất kỳ cách nào! 😃 +<!-- +## Bạn có cần thuê GPU để tăng cường dịch vụ từ chúng tôi không? +- Một cuộc thăm dò đang mở tại đây https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Lời cảm ơn đặc biệt +Đối với tất cả những người đóng góp tài chính và mã, mỗi đóng góp và đề xuất giúp cải thiện chất lượng của E2A. \ No newline at end of file diff --git a/readme/README_yor.md b/readme/README_yor.md new file mode 100644 index 0000000..6f7c7df --- /dev/null +++ b/readme/README_yor.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +Ayípadà CPU/GPU láti inú ìwé-kàwé ẹ̀rọ sí ìwé-ohùn pẹ̀lú àwọn orí àti metadata<br/> +ní lílo àwọn ẹ̀rọ TTS tó ní ìlọsíwájú àti púpọ̀ síi.<br/> +Ó ń ṣe àtìlẹ́yìn fún ẹ̀dà ohùn àti èdè 1158! +> [!IMPORTANT] +**Ọ̀pá-ìṣẹ́ yìí jẹ́ fún lílo pẹ̀lú àwọn ìwé-kàwé ẹ̀rọ tí kò ní DRM, tí a rí gbà ní ọ̀nà òfin nìkan.** <br> +Àwọn òǹkọ̀wé kò ní jẹ́jọ́ fún ìlòkulò èyíkéyìí ti software yìí tàbí àbájáde òfin èyíkéyìí tí ó bá yọrí sí. <br> +Lo ọ̀pá-ìṣẹ́ yìí pẹ̀lú ojúṣe àti ní ìbámu pẹ̀lú gbogbo àwọn òfin tó wà ní agbára. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### A dúpẹ́ fún àtìlẹ́yìn àwọn olùdàgbàsókè ebook2audiobook! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Ṣíṣe ní agbègbè + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Ṣíṣe ní Òkèèrè +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### Wíwo GUI +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Tẹ̀ láti rí àwọn àwòrán GUI Wẹ́ẹ̀bù</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Àwọn Àfihàn + +**Àfihàn Ohùn Àpẹẹrẹ Tuntun** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>Àwọn àfihàn síi</summary> + +**Ohùn ASMR** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Ohùn Ọjọ́ Òjò** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Ohùn Scarlett** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**Ohùn David Attenborough** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Àpẹẹrẹ** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Àkójọ Àwọn Àkóónú +- [ebook2audiobook](#-ebook2audiobook) +- [Àwọn Ẹ̀yà](#features) +- [Wíwo GUI](#gui-interface) +- [Àwọn Àfihàn](#demos) +- [Àwọn Èdè Tí A Ṣe Àtìlẹ́yìn Fún](#supported-languages) +- [Àwọn Ìbéèrè Tó Kéré Jù](#hardware-requirements) +- [Ìlò](#instructions) + - [Ṣíṣe ní Agbègbè](#instructions) + - [Ṣíṣí Wíwo Wẹ́ẹ̀bù Gradio](#instructions) + - [Ìlò Headless Ìpilẹ̀](#basic-usage) + - [Ìlò Àwòṣe XTTS Àdáni Headless](#example-of-custom-model-zip-upload) + - [Ìjáde àṣẹ ìrànlọ́wọ́](#help-command-output) + - [Ṣíṣe ní Òkèèrè](#run-remotely) + - [Docker](#docker) + - [Àwọn Ìgbésẹ̀ láti Ṣe](#docker) + +- [Cloned Voices](#cloned-voices) +- [Àwọn àwòṣe TTS Tí A Ti Ṣàtúnṣe](#fine-tuned-tts-models) + - [Àkójọ Àwọn Àwòṣe TTS Tí A Ti Ṣàtúnṣe](#fine-tuned-tts-collection) + - [Dídá XTTSv2 Lẹ́kọ̀ọ́](#fine-tune-your-own-xttsv2-model) +- [Àwọn Ọ̀nà eBook Tí A Ṣe Àtìlẹ́yìn Fún](#supported-ebook-formats) +- [Àwọn Ọ̀nà Ìjáde](#output-and-process-formats) +- [Padà sí Ẹ̀dà àtijọ́](#reverting-to-older-versions) +- [Àwọn Ìṣòro Tó Wọ́pọ̀](#common-issues) +- [Ọpẹ́ Pàtàkì](#special-thanks) +- [Àkójọ Àwọn Àkóónú](#table-of-contents) + + +## Àwọn Ẹ̀yà +- 🔧 **Àwọn ẹ̀rọ TTS tí a ṣe àtìlẹ́yìn fún**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Yí àwọn ọ̀nà fáìlì púpọ̀ padà**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **Agbègbè Ọ̀rọ̀** láti yí ọ̀rọ̀ kúkúrú padà tààrà sí ohùn +- 🔍 **Àyẹ̀wò OCR** fún àwọn fáìlì tó ní àwọn ojú-ìwé ọ̀rọ̀ gẹ́gẹ́ bí àwòrán +- 🔊 **Ọ̀rọ̀-sí-ọ̀rọ̀ olódodo gíga**, láti ó fẹ́rẹ̀ jẹ́ àkókò gidi sí ohùn tó fẹ́rẹ̀ jẹ́ gidi +- 🗣️ **Ẹ̀dà ohùn àṣàyàn** ní lílo fáìlì ohùn tìrẹ +- 🌐 **Ó ń ṣe àtìlẹ́yìn fún èdè 1158** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Ọ̀rẹ́ àwọn ohun-àmúṣe kékeré** — ó ń ṣiṣẹ́ lórí **2 GB RAM / 1 GB VRAM (tó kéré jù)** +- 🎵 **Àwọn ọ̀nà ìjáde ìwé-ohùn**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **A ṣe àtìlẹ́yìn fún àwọn àmì SML** — ìṣàkóso tó pé fún àwọn ìdáwọ́dúró, ìdúró, ìyípadà ohùn àti púpọ̀ síi ([see below](#sml-tags-available)) +- 🧩 **Àwòṣe àdáni àṣàyàn** ní lílo àwòṣe tí o dá lẹ́kọ̀ọ́ fúnra rẹ (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Àwọn àwòṣe preset tí a ti ṣàtúnṣe** tí Ẹgbẹ́ E2A dá lẹ́kọ̀ọ́<br/> + <i>(Kàn sí wa tí o bá nílò àwọn àwòṣe àfikún tí a ti ṣàtúnṣe, tàbí tí o bá fẹ́ pín tìrẹ sí àkójọ preset oníṣẹ́-aṣẹ)</i> + + +## Àwọn Ìbéèrè Ohun-èlò +- RAM 2GB tó kéré jù, 8GB ní ìṣedéédéé. +- VRAM 1GB tó kéré jù, 4GB ní ìṣedéédéé. +- A ṣe àfikún Virtualization tí a bá ń ṣe lórí windows (Docker nìkan). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (CPU Apple Silicon) + +*<i> Àwọn ẹ̀rọ TTS òde-òní lọ́ra gan-an lórí CPU, nítorí náà lo TTS olódodo kékeré bíi YourTTS, Tacotron2 àti bẹ́ẹ̀ bẹ́ẹ̀ lọ.</i> + +## Àwọn Èdè Tí A Ṣe Àtìlẹ́yìn Fún +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 èdè àti èdè-ìbílẹ̀ níbí**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Àwọn Ọ̀nà eBook Tí A Ṣe Àtìlẹ́yìn Fún +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Àbájáde tó dára jù**: `.epub` tàbí `.mobi` fún ìdánimọ̀ orí lọ́nà aládàáṣiṣẹ́ + +## Àwọn Ọ̀nà Ìjáde àti ìṣíṣẹ́ +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- A lè yí ọ̀nà ìṣíṣẹ́ padà nínú lib/conf.py + +## Àwọn àmì SML tó wà +- `[break]` — ìdákẹ́jẹ́ẹ́ (àyè àìròtẹ́lẹ̀ **0.3–0.6 sec.**) +- `[pause]` — ìdákẹ́jẹ́ẹ́ (àyè àìròtẹ́lẹ̀ **1.0–1.6 sec.**) +- `[pause:N]` — ìdúró tí a gbé kalẹ̀ (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — yí ohùn padà láti ohùn àpẹẹrẹ tàbí èyí tí a yàn láti GUI/CLI + +**Wo repo wa míràn tí a yà sọ́tọ̀ fún àfikún SML lọ́nà aládàáṣiṣẹ́ nínú eBook rẹ -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Kí o tó fi ìṣòro ìfìsọ́nà tàbí àṣìṣe sílẹ̀, ṣàwárí dáradára nínú TAB àwọn ìṣòro tó ṣí sílẹ̀ àti èyí tí a ti tì<br> +láti rí i dájú pé ìṣòro rẹ kò tíì sí.** + +>[!NOTE] +**Ọ̀nà EPUB kò ní ètò àpapọ̀ èyíkéyìí bíi ohun tí orí jẹ́, ìpínrọ̀, ọ̀rọ̀-ìṣáájú àti bẹ́ẹ̀ bẹ́ẹ̀ lọ.<br> +Nítorí náà o gbọ́dọ̀ kọ́kọ́ yọ ọ̀rọ̀ èyíkéyìí tí o kò fẹ́ yí padà sí ohùn pẹ̀lú ọwọ́.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Fi sori ẹrọ / Ṣe ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Olùṣíṣẹ́ Mac** + Tẹ̀ ní ẹ̀ẹ̀mejì `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Àkíyèsí fún àwọn olùmúlò Windows: a fi scoop sori ẹrọ láti fi àwọn ètò tó nù sori ẹrọ láìsí àwọn ẹ̀tọ́ alábòójútó.</i> + +1. **Ṣí Ohun-èlò Wẹ́ẹ̀bù**: Tẹ̀ URL tí a pèsè nínú terminal láti wọlé sí ohun-èlò wẹ́ẹ̀bù àti yí àwọn eBook padà. `http://localhost:7860/` +2. **Fún Ọ̀nà Àjọ̀dún**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**Tí a bá dúró kọ̀ǹpútà-ìtọ́ni tí a sì tún ṣe é, o nílò láti tún wíwo GUI gradio rẹ ṣe<br> +láti gba ojú-ìwé wẹ́ẹ̀bù láàyè láti tún sopọ̀ mọ́ socket ìsopọ̀ tuntun.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Ọ̀nà sí fáìlì eBook rẹ + - **[--voice]**: Ọ̀nà fáìlì ẹ̀dà ohùn (àṣàyàn) + - **[--language]**: Àmì èdè ní ISO-639-3 (ìyẹn: ita fún Ítálì, eng fún Gẹ̀ẹ́sì, deu fún Jámánì...).<br> + Èdè àpẹẹrẹ ni eng àti --language jẹ́ àṣàyàn fún èdè àpẹẹrẹ tí a gbé kalẹ̀ nínú ./lib/lang.py.<br> + Àwọn àmì ISO-639-1 oníléta 2 náà ni a ṣe àtìlẹ́yìn fún. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Ọ̀nà sí fáìlì `model_name.zip`, + èyí tó gbọ́dọ̀ ní (gẹ́gẹ́ bí ẹ̀rọ tts) gbogbo àwọn fáìlì pàtàkì<br> + (wo ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +ÀKÍYÈSÍ: ní ìpò gradio/gui, láti fagilé ìyípadà tó ń lọ lọ́wọ́, kàn tẹ̀ [X] láti inú ẹ̀yà ìgbéga eBook. +ÌMỌ̀RÀN: tí ó bá nílò ìdúró díẹ̀ síi, ṣàfikún '[pause:3]' fún ìṣẹ́jú-àáyá 3 àti bẹ́ẹ̀ bẹ́ẹ̀ lọ. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Àwọn Oríṣun àwòrán, Cloned Voices +O lè gbé ohùn ohùn èyíkéyìí sókè nínú èyíkéyìí nínú àwọn fọ́mù ohùn tí a ṣe àtìlẹyìn, iye tí ó dára ni nǹkan bí 1 sí 5 mn. +Kò ṣe pàtàkì bí àkọsílẹ̀ náà bá ní ìpìlẹ̀ ariwo tàbí orin tí ó ń ṣeré lórí rẹ̀ — E2A yóò fọ ohùn náà fún ọ. + +Èdè Gẹ̀ẹ́sì ni àtòjọ àwọn ohùn tí wọ́n kọ́ sínú rẹ̀. Tí o bá nílò ohùn ní èdè mìíràn kí ó lè jẹ́ ti ìjọba. +àfikún sí àtòjọ náà, jọ̀wọ́ kàn sí wa a ó sì fi kún un lẹ́yìn àtúnyẹ̀wò. + +## Àwọn àwòṣe TTS Tí A Ti Ṣàtúnṣe (fine-tuned) +#### Ṣàtúnṣe àwòṣe XTTSv2 tìrẹ + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### Yíyọ ariwo kúrò nínú dátà ìdánilẹ́kọ̀ọ́ + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Àkójọ Àwọn Àwòṣe TTS Tí A Ti Ṣàtúnṣe + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +Fún àwòṣe àdáni XTTSv2, klipu ohùn ìtọ́kasí ti ohùn jẹ́ pàtàkì: + +## Ìbáamu Ebook2Audiobook tìrẹ +O ní òmìnira láti ṣàtúnṣe libs/conf.py láti ṣàfikún tàbí yọ àwọn ètò tí o fẹ́ kúrò. Tí o bá ń gbèrò láti ṣe é, kàn ṣe +ẹ̀dà conf.py ìpilẹ̀ kí o lè, ní gbogbo ìmúdójúìwọ̀n ebook2audiobook, gba conf.py tí o ṣàtúnṣe pamọ́ kí o sì tún +ìpilẹ̀ padà. O gbọ́dọ̀ gbèrò ìṣẹ̀lẹ̀ kan náà fún models.py. Tí o bá fẹ́ sọ àwòṣe àdáni tìrẹ +di àwòṣe ebook2audiobook oníṣẹ́-aṣẹ tí a ti ṣàtúnṣe, jọ̀wọ́ kàn sí wa a ó sì fi kún àkójọ preset. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Àwọn Ìṣòro Tó Wọ́pọ̀: +- A kò rí GPU NVIDIA/ROCm/XPU/MPS mi?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU lọ́ra (ó dára jù lórí CPU smp sáfà) nígbà tí GPU lè ní ìyípadà tó fẹ́rẹ̀ jẹ́ àkókò gidi. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (Bí ó tilẹ̀ jẹ́ pé kò ní ẹ̀dà ohùn zero-shot, tí ó sì jẹ́ àwọn ohùn olódodo Siri, ṣùgbọ́n ó yára púpọ̀ síi lórí cpu). +- "Mo ní àwọn ìṣòro ìgbẹ́kẹ̀lé" - Kàn lo docker, ó dúró lóró fúnra rẹ̀ pátápátá ó sì ní ìpò headless, + ṣàfikún àléébù `--help` ní òpin àṣẹ docker run fún ìsọfúnni síi. +- "Mo ní ìṣòro ohùn tí a gé kúrú!" - JỌ̀WỌ́ ṢÍ ISSUE NÍPA ÈYÍ, + a kò sọ gbogbo èdè a sì nílò ìmọ̀ràn láti ọ̀dọ̀ àwọn olùmúlò láti ṣàtúnṣe ọgbọ́n pípín gbólóhùn.😊 + +## ***** ÈTÒ-ÌLỌSÍWÁJÚ ***** +- Gbogbo Àwọn Ẹ̀yà ṣí sílẹ̀ fún Àwọn Ìdáwó àjọ̀dún ⭐ +- Ìrànlọ́wọ́ èyíkéyìí láti ọ̀dọ̀ àwọn ènìyàn tó ń sọ èdè èyíkéyìí tí a ṣe àtìlẹ́yìn fún láti ràn wá lọ́wọ́ láti mú àwọn àwòṣe dára síi ⭐ +- [x] Àwòkọ́ Àwọn Àkójọpọ̀/Orí kí a tó bẹ̀rẹ̀ ìyípadà +- [ ] Ṣàtúnṣe ní gbólóhùn tí a yí padà fún ìyípadà ọ̀rọ̀ tó pé +- [x] Ìṣọ̀kan àmì SML fún ohùn, ìdúró, ìdáwọ́dúró, àti àwọn ìyípadà síi +- [x] Ìsọfúnni àléébù -h -help ní àwọn èdè ọ̀tọ̀ọ̀tọ̀ +- [x] Àyẹ̀wò OCR fún PDF / JPG / BMP / PNG / TIFF +- [x] Fódà Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Mú kí pípín ọ̀rọ̀ Ṣáínà má pín àwọn ọ̀rọ̀ kí a sì mú àkókò ìdúró dára síi [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Notebook Kaggle +- [x] Notebook Google Colab +- [ ] Ìṣọ̀kan Audiobookshelf +- [ ] [Ṣe ohun-èlò IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Ṣe ohun-èlò android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Àwọn Àṣàyàn Àfikún +- [x] Àṣàyàn Ìtumọ̀ eBook +- [x] Àwọn àṣàyàn ọ̀nà ìjáde +- [x] Fódà eBook ìpapọ̀ +- [x] Ìyípadà oníṣíṣẹ́-púpọ̀ +- [x] Ìyípadà fódà eBook ìpapọ̀ +- [x] Ìdánimọ̀ Ẹ̀rọ GPU +- [x] Yọ ariwo kúrò nínú ohùn ìtọ́kasí èyíkéyìí fún ìgbéga ẹ̀dà ohùn, +- [x] Ìgbéga àwòṣe àdáni (XTTSv2 nìkan fún ìsinsìnyí. púpọ̀ síi lórí ìbéèrè) +- [ ] Ṣàfikún àwòṣe èdè Portuguese Yúróòpù fún ó kéré tán xttsv2, fairseq, vits, piper (a kí ìrànlọ́wọ́ káàbọ̀) +- [ ] Ṣàfikún àwòṣe èdè Sindhi fún ó kéré tán xttsv2, fairseq, vits, piper (a kí ìrànlọ́wọ́ káàbọ̀) + +#### Àwọn ẹ̀rọ TTS +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] ijapa +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Ìtumọ̀ Readme +- [x] Lárúbáwá (Lárúbáwá) +- [x] Chinese (zho) +- [x] English (eng) +- [x] Èdè Sípáníìṣì (SPA) +- [x] Faranse (fra) +- [x] Jẹmánì (DEU) +- [x] Itali (ita) +- [x] Èdè Potogí (por) +- [x] Pólándì (pol) +- [x] Tọki (TUR) +- [x] Rọ́ṣíà (Rọ́ṣíà) +- [x] Dutch (nld) +- [x] Czech (ces) +- [x] Japanese (jpn) +- [x] Hindi (hin) +- [x] Èdè Bengali (BEN) +- [x] Hungarian (hun) +- [x] Kòréà (kor) +- [x] Vietnamese (VIVE) +- [x] Swedish (swe) +- [x] Persian (FAS) +- [x] Yorùbá (yor) +- [x] Swahili (swa) +- [x] Indonesian (IND) +- [x] Slovak (slk) +- [x] Croatian (hrv) + +#### 🐍 Ìbáramu OS +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Àpọ̀jù Àfikún fún dídá àwọn àwòṣe lẹ́kọ̀ọ́ àti irú rẹ̀ (Gbogbo àwọn àwòṣe Coqui-tts tí a ṣe àtìlẹ́yìn fún àti piper-tts nínú àṣẹ rọrùn kan) +- Fún ìsọfúnni nípa èyí @DrewThomasson, ó ń ṣiṣẹ́ lórí ìdàgbàsókè rẹ̀ lọ́wọ́lọ́wọ́, [repo tó ń lọ lọ́wọ́ níbí](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Ṣe gui ìdánilẹ́kọ̀ọ́ tó rọrùn láti lò fún gbogbo àwọn àwòṣe coqui-tts nínú àwọn ìlànà ìdánilẹ́kọ̀ọ́ ọ̀nà ljspeech [níbí láti ọ̀dọ̀ coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Ìsọfúnni ìṣàkóso Kóòdù Python fún àwọn olùdáwó +- kò sí ìlà òfìfo láàrin kóòdù, àyàfi láàrin àwọn iṣẹ́ àti àwọn kíláàsì. +- àmì-ọ̀rọ̀ kan ṣoṣo ni a lò fún gbogbo àwọn kọ́kọ́rọ́ àyàfi fún dict() àti json. dict['key'] ni a máa ń pè pẹ̀lú àmì-ọ̀rọ̀ kan ṣoṣo nígbà gbogbo +- àyè-ìbẹ̀rẹ̀ àwọn àlàfo 4, kì í ṣe tab rárá +- ìtẹ̀wé tó le fún gbogbo àwọn iṣẹ́ àti ìkéde àwọn àríyànjiyàn àti àwọn iye ìpadàbọ̀ wọn +- kò sí àlàfo láàrin àríyànjiyàn àti ìtẹ̀wé rẹ̀, kò sí àlàfo láàrin iṣẹ́, "->" àti iye ìpadàbọ̀ + +Àpẹẹrẹ: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## A ń wá ẹ̀bùn ohun-èlò fún àwọn ìdánwò beta +A gba irú ohun-èlò èyíkéyìí láti dán ìdàgbàsókè wa wò bíi: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson tí o bá fẹ́ ṣe ìrànlọ́wọ́ ní ọ̀nà èyíkéyìí! 😃 +<!-- +## Ṣé o nílò láti yá GPU láti mú iṣẹ́ wa lágbára? +- Ìdìbò kan ti ṣí síbí https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Ọpẹ́ Pàtàkì +Fún gbogbo àwọn olùpínlẹ̀ owó àti kóódù, ìfowópamọ́ àti àbá kọ̀ọ̀kan ń ṣe ìrànlọ́wọ́ láti mú kí E2A dára sí i. \ No newline at end of file diff --git a/readme/README_zho.md b/readme/README_zho.md new file mode 100644 index 0000000..55685bc --- /dev/null +++ b/readme/README_zho.md @@ -0,0 +1,635 @@ +# 📚 ebook2audiobook (E2A) +将电子书转换为带有章节和元数据的有声书的 CPU/GPU 转换器<br/> +使用先进的 TTS 引擎等。<br/> +支持语音克隆和 1158 种语言! +> [!IMPORTANT] +**本工具仅供与合法获取的无 DRM 电子书一起使用。** <br> +作者对本软件的任何滥用或由此产生的任何法律后果概不负责。 <br> +请负责任地使用本工具,并遵守所有适用的法律。 + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### 感谢您支持 ebook2audiobook 的开发者! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### 本地运行 + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### 远程运行 +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### 图形界面(GUI) +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>点击查看 Web GUI 图像</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## 演示 + +**新默认语音演示** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>更多演示</summary> + +**ASMR 语音** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**雨天语音** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**斯嘉丽语音** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**大卫·阿滕伯勒语音** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**示例** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## 目录 +- [ebook2audiobook](#-ebook2audiobook) +- [功能](#features) +- [图形界面](#gui-interface) +- [演示](#demos) +- [支持的语言](#supported-languages) +- [最低要求](#hardware-requirements) +- [用法](#instructions) + - [本地运行](#instructions) + - [启动 Gradio Web 界面](#instructions) + - [基本 Headless 用法](#basic-usage) + - [Headless 自定义 XTTS 模型用法](#example-of-custom-model-zip-upload) + - [帮助命令输出](#help-command-output) + - [远程运行](#run-remotely) + - [Docker](#docker) + - [运行步骤](#docker) + +- [克隆声音](#cloned-voices) +- [微调 TTS 模型](#fine-tuned-tts-models) + - [微调 TTS 模型集合](#fine-tuned-tts-collection) + - [训练 XTTSv2](#fine-tune-your-own-xttsv2-model) +- [支持的电子书格式](#supported-ebook-formats) +- [输出格式](#output-and-process-formats) +- [还原到较旧版本](#reverting-to-older-versions) +- [常见问题](#common-issues) +- [特别鸣谢](#special-thanks) +- [目录](#table-of-contents) + + +## 功能 +- 🔧 **支持的 TTS 引擎**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **转换多种文件格式**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 用于直接将短文本转换为音频的**文本区域** +- 🔍 针对文本页面为图像的文件的 **OCR 扫描** +- 🔊 **高质量文本转语音**,从接近实时到接近真实的语音 +- 🗣️ 使用您自己的语音文件进行**可选的语音克隆** +- 🌐 **支持 1158 种语言** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **低资源友好** — 可在 **2 GB RAM / 1 GB VRAM(最低)** 上运行 +- 🎵 **有声书输出格式**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **支持 SML 标签** — 对中断、停顿、语音切换等进行精细控制 ([see below](#sml-tags-available)) +- 🧩 使用您自己训练的模型的**可选自定义模型** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ 由 E2A 团队训练的**微调预设模型**<br/> + <i>(如果您需要额外的微调模型,或者如果您想在官方预设列表中分享您自己的模型,请联系我们)</i> + + +## 硬件要求 +- RAM 最低 2GB,推荐 8GB。 +- VRAM 最低 1GB,推荐 4GB。 +- 在 windows 上运行时启用虚拟化(仅限 Docker)。 +- CPU、XPU(intel、AMD、ARM)*。 +- CUDA、ROCm、JETSON +- MPS(Apple Silicon CPU) + +*<i> 现代 TTS 引擎在 CPU 上非常慢,因此请使用质量较低的 TTS,如 YourTTS、Tacotron2 等。</i> + +## 支持的语言 +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**此处有 +1130 种语言和方言**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## 支持的电子书格式 +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **最佳效果**:使用 `.epub` 或 `.mobi` 进行自动章节检测 + +## 输出和处理格式 +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- 处理格式可在 lib/conf.py 中更改 + +## 可用的 SML 标签 +- `[break]` — 静音(随机范围 **0.3–0.6 sec.**) +- `[pause]` — 静音(随机范围 **1.0–1.6 sec.**) +- `[pause:N]` — 固定停顿(**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — 从默认语音或从 GUI/CLI 选择的语音切换语音 + +**请查看我们另一个专门用于在电子书中自动添加 SML 的仓库 -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**在发布安装或错误问题之前,请仔细搜索打开和已关闭问题的标签页<br> +以确保您的问题尚不存在。** + +>[!NOTE] +**EPUB 格式缺乏任何定义什么是章节、段落、前言等的标准结构。<br> +因此,您应该首先手动删除任何不想转换为音频的文本。** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **安装 / 运行 ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac 启动器** + 双击 `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Windows 用户注意:将安装 scoop 以在没有管理员权限的情况下安装缺失的程序。</i> + +1. **打开 Web 应用**:点击终端中提供的 URL,以访问 Web 应用并转换电子书。 `http://localhost:7860/` +2. **获取公共链接**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**如果脚本被停止并再次运行,您需要刷新您的 Gradio GUI 界面<br> +以便网页能够重新连接到新的连接套接字。** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**:电子书文件的路径 + - **[--voice]**:语音克隆文件路径(可选) + - **[--language]**:ISO-639-3 格式的语言代码(即:意大利语为 ita,英语为 eng,德语为 deu...)。<br> + 默认语言为 eng,对于 ./lib/lang.py 中设置的默认语言,--language 是可选的。<br> + 也支持 2 个字母的 ISO-639-1 代码。 + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**:`model_name.zip` 文件的路径, + 该文件必须(根据 tts 引擎)包含所有必需文件<br> + (参见 ./lib/models.py)。 + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +注意:在 gradio/gui 模式下,要取消正在进行的转换,只需点击电子书上传组件的 [X] 即可。 +提示:如果需要稍长的停顿,请添加 '[pause:3]' 表示 3 秒等。 + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## 克隆的声音 +您可以上传任何支持的音频格式的任何语音音频,理想的持续时间约为1至5分钟。 +无论录音的背景是嘈杂的还是播放的音乐, E2A都会为您清理声音。 + +内置克隆语音列表主要为英文。如果您需要其他语言的声音才能正式 +添加到列表中,请联系我们,我们将在审核后添加它们。 + +## 微调(fine-tuned)TTS 模型 +#### 微调您自己的 XTTSv2 模型 + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### 训练数据降噪 + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### 微调 TTS 模型集合 + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +对于自定义 XTTSv2 模型,必须提供语音的参考音频片段: + +## 您自己的 Ebook2Audiobook 自定义 +您可以自由修改 libs/conf.py 以添加或删除您想要的设置。如果您打算这样做,只需制作 +原始 conf.py 的副本,这样在每次更新 ebook2audiobook 时,您可以备份修改后的 conf.py 并恢复 +原始文件。您必须为 models.py 计划相同的流程。如果您想将自己的自定义模型 +变成官方微调的 ebook2audiobook 模型,请联系我们,我们会将其添加到预设列表中。 + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## 常见问题: +- 未检测到我的 NVIDIA/ROCm/XPU/MPS GPU?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU 很慢(在服务器 SMP CPU 上更好),而 GPU 可以实现接近实时的转换。 + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (不过它没有 zero-shot 语音克隆,是 Siri 质量的语音,但在 cpu 上快得多)。 +- “我遇到依赖项问题” - 只需使用 docker,它完全独立并具有 headless 模式, + 在 docker run 命令末尾添加 `--help` 参数以获取更多信息。 +- “我遇到音频被截断的问题!” - 请就此创建一个 ISSUE, + 我们不会说每种语言,需要用户的建议来微调句子拆分逻辑。😊 + +## ***** 路线图 ***** +- 所有功能均向公众贡献开放 ⭐ +- 来自任何说支持语言的人的任何帮助,以帮助我们改进模型 ⭐ +- [x] 在开始转换之前预览块/章节 +- [ ] 按转换后的句子进行编辑,以进行精准的文本更改 +- [x] 用于语音、停顿、中断及更多更改的 SML 标签集成 +- [x] 不同语言的 -h -help 参数信息 +- [x] 针对 PDF / JPG / BMP / PNG / TIFF 的 OCR 扫描 +- [x] Notebooks 文件夹 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] 使中文文本拆分不拆分单词并改善停顿时间 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf 集成 +- [ ] [制作 iOS 应用](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [制作 android 应用](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### 额外选项 +- [x] 电子书翻译选项 +- [x] 输出格式选择 +- [x] 批量电子书文件夹 +- [x] 多进程转换 +- [x] 批量电子书文件夹转换 +- [x] GPU 设备检测 +- [x] 为上传的语音克隆对任何参考音频进行降噪, +- [x] 自定义模型上传(目前仅 XTTSv2。更多应需求提供) +- [ ] 至少为 xttsv2、fairseq、vits、piper 添加欧洲葡萄牙语语言模型(欢迎帮助) +- [ ] 至少为 xttsv2、fairseq、vits、piper 添加信德语语言模型(欢迎帮助) + +#### TTS引擎 +- [x] XTTSv2 +- [x] 巴克 +- [x] 公平交易 +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] 陸龜 +- [x] GlowTTS +- [x] 胡椒属 +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] 样式-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme 翻译 +- [x] 阿拉伯语(ara) +- [x] Chinese (zho) +- [x] English (eng) +- [x] Spanish (spa) +- [x] French (fra) +- [x] 德语(deu) +- [x] Italian (ita) +- [x] Portuguese (por) +- [x] Polish (pol) +- [x] 土耳其语(TUR) +- [x] Russian (rus) +- [x] Dutch (nld) +- [x] 捷克语( ces ) +- [x] Japanese (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] 匈牙利语(HUN) +- [x] Korean (kor) +- [x] 越南语( VIE ) +- [x] Swedish (swe) +- [x] 波斯语(fas) +- [x] 约鲁巴语( yor ) +- [x] 斯瓦希里语(swa) +- [x] 印尼语(印尼) +- [x] Slovak (slk) +- [x] 克罗地亚语(hrv) + +#### 🐍 操作系统兼容性 +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## 用于训练模型等的额外杀手锏(所有支持的 Coqui-tts 模型和 piper-tts 通过一条简单命令) +- 有关此信息 @DrewThomasson,他目前正在进行其开发,[正在进行中的仓库在此处](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] 为 ljspeech 格式训练配方中的所有 coqui-tts 模型创建一个易于使用的训练 gui [此处来自 coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## 面向贡献者的 Python 代码规范化信息 +- 代码之间没有空行,函数和类之间除外。 +- 除 dict() 和 json 外,所有键均使用单引号。dict['key'] 始终用单引号调用 +- 4 个空格缩进,完全不使用制表符 +- 对所有函数及其参数和返回值声明进行严格类型标注 +- 参数与其类型标注之间无空格,函数、“->”和返回值之间无空格 + +示例: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## 征求用于测试版测试的硬件捐赠 +我们接受任何类型的硬件来测试我们的开发,例如: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson 如果您想以任何方式提供帮助! 😃 +<!-- +## 您需要租用 GPU 来增强我们的服务吗? +- 此处已开放投票 https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## 特别鸣谢 +对于所有财务和代码贡献者,每项贡献和建议都有助于提高E2A的质量。 \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..353f061 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,72 @@ +# Universal TTS Finetune dependencies +faster_whisper>=1.0.2 +spacy>=3.7.4 +cutlet +Cython>=0.29.0 +onnx +piper-phonemize-fix +llvmlite +numba +librosa>=0.9.2 +pytorch-lightning>=1.7.0 +onnx-simplifier>=0.4.10 +onnxscript>=0.7.0 + +# E2A +cryptography +py-cpuinfo +tqdm +regex +docker +ebooklib +python-pptx +python-docx +lameenc +museval +openunmix +submitit +treetable +dora-search +fastapi +hf_xet +beautifulsoup4 +nagisa +pymupdf +pymupdf-layout +hangul-romanize +iso639-lang +soynlp +jieba +uroman +fugashi +unidic-lite +pycantonese +pypinyin +pythainlp +pykakasi +mutagen +PyOpenGL +phonemizer-fork +num2words2 +pydub +soundfile +unidecode +langdetect +phonemizer +indic-nlp-library +pytesseract +torchvggish +sentence-transformers +stanza==1.10.1 +argostranslate==1.11.0 +pandas>=1.0,<3.0 +gradio==5.49.1 +pyannote-audio==3.4.0; python_version < '3.12' +pyannote-audio>=4.0.0; python_version >= '3.12' 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b/tools/icons/generate-icons.py @@ -0,0 +1,214 @@ +#!/usr/bin/env python3 +""" +Multi-platform icon generator +Converts appLogo.png into platform-specific formats and sizes +Requires: Pillow (PIL), cairosvg (optional for SVG) + +Installation: + pip install Pillow cairosvg +""" + +import os +import sys +import subprocess +from PIL import Image + +# Icon sizes for each platform +ICON_SIZES = { + 'windows': [256, 48, 32, 24, 16], + 'mac': [1024, 512, 256, 128, 64, 32, 16], + 'linux': [256, 128, 64, 48, 32, 24, 16] +} + +def ensure_package(pkg): + """Ensure a required Python package is installed""" + try: + __import__(pkg) + except ImportError: + print(f"⚙ Installing missing package: {pkg}") + subprocess.check_call([sys.executable, "-m", "pip", "install", pkg]) + +def create_directories(): + """Create output directories for each platform""" + for platform in ICON_SIZES.keys(): + os.makedirs(f'./{platform}', exist_ok=True) + print("✓ Directories created") + +def resize_image(source_path, output_dir, sizes): + try: + img = Image.open(source_path).convert("RGBA") + + # fully clean the base image first (remove ALL metadata) + base = Image.new("RGBA", img.size) + base.paste(img, (0,0)) + + for size in sizes: + resized = base.resize((size, size), Image.Resampling.LANCZOS) + + # force a metadata-free PNG + clean = Image.new("RGBA", (size, size)) + clean.paste(resized, (0,0)) + + clean.save( + f"{output_dir}/icon-{size}.png", + format="PNG", + optimize=False + ) + + print(f" ✓ Clean PNG created for {size}x{size}") + + return True + except Exception as e: + print(f"✗ Error resizing image: {e}") + return False + +def create_windows_ico(output_dir): + try: + sizes = ICON_SIZES['windows'] + images = [] + + for size in sizes: + images = [Image.open(f'{output_dir}/icon-{size}.png') for size in sizes] + img = Image.open(f'{output_dir}/icon-{size}.png').convert("RGBA") + clean = Image.new("RGBA", img.size) + clean.paste(img) + images.append(clean) + + images[0].save( + f'{output_dir}/appIcon.ico', + format='ICO', + sizes=[(size, size) for size in sizes] + ) + + print("✓ Windows ICO file created: ./windows/appIcon.ico") + return True + + except Exception as e: + print(f"✗ Error creating ICO: {e}") + return False + + +def create_mac_icns(output_dir): + """Create macOS ICNS file from PNGs (native + cross-platform fallback)""" + import platform, shutil + + try: + sizes = ICON_SIZES['mac'] + iconset_dir = f'{output_dir}/appIcon.iconset' + icns_path = f'{output_dir}/appIcon.icns' + os.makedirs(iconset_dir, exist_ok=True) + + for size in sizes: + img_path = f'{output_dir}/icon-{size}.png' + scale = 2 if size > 256 else 1 + icon_name = f'icon_{size // scale}x{size // scale}' + if scale == 2: + icon_name += '@2x' + output_path = f'{iconset_dir}/{icon_name}.png' + shutil.copyfile(img_path, output_path) + + # Try native iconutil on macOS + if platform.system() == "Darwin": + try: + subprocess.run( + ['iconutil', '-c', 'icns', '-o', icns_path, iconset_dir], + check=True, capture_output=True + ) + print("✓ macOS ICNS file created: ./mac/appIcon.icns (via iconutil)") + return True + except (subprocess.CalledProcessError, FileNotFoundError): + print("⚠ iconutil not found or failed. Falling back to cross-platform method...") + + # Cross-platform fallback using icnsutil + try: + ensure_package("icnsutil") + from icnsutil import IcnsFile + icns = IcnsFile() + + for size in sizes: + # Skip sizes not directly supported by ICNS + if size not in [16, 32, 128, 256, 512, 1024]: + continue + png_path = f'{output_dir}/icon-{size}.png' + if not os.path.exists(png_path): + continue + try: + with open(png_path, "rb") as f: + data = f.read() + icns.add_media(data=data) + except Exception as e: + print(f"⚠ Skipping {png_path}: {e}") + + icns.write(icns_path) + print("✓ Cross-platform ICNS file created: ./mac/appIcon.icns (via icnsutil)") + return True + except Exception as e: + print(f"✗ ICNS creation failed (fallback): {e}") + return False + + except Exception as e: + print(f"✗ Error creating ICNS: {e}") + return False + +def create_svg_copy(source_path, output_dir): + """Create SVG copy for Linux (optional)""" + try: + import shutil + svg_path = source_path.replace('.png', '.svg') + if os.path.exists(svg_path): + shutil.copy(svg_path, f'{output_dir}/appIcon.svg') + print(f"✓ SVG icon copied: ./linux/appIcon.svg") + return True + else: + print("⚠ No SVG source found (optional for Linux)") + return True + except Exception as e: + print(f"✗ Error copying SVG: {e}") + return False + +def main(): + """Main execution""" + print("🎨 Multi-Platform Icon Generator\n") + + source_image = 'appLogo.png' + if not os.path.exists(source_image): + print(f"✗ Error: {source_image} not found in current directory") + sys.exit(1) + + print(f"Source: {source_image}\n") + create_directories() + print() + + for platform, sizes in ICON_SIZES.items(): + print(f"Generating {platform.upper()} icons...") + output_dir = f'./{platform}' + if not resize_image(source_image, output_dir, sizes): + sys.exit(1) + print() + + print("Creating platform-specific formats...\n") + + if not create_windows_ico('./windows'): + print("⚠ Continuing despite ICO creation issue\n") + + if not create_mac_icns('./mac'): + print("⚠ Continuing despite ICNS creation issue\n") + + if not create_svg_copy(source_image, './linux'): + print("⚠ Continuing despite SVG copy issue\n") + + print("✅ Icon generation complete!") + print("\nOutput structure:") + print(" ./") + print(" ├── windows/") + print(" │ ├── appIcon.ico") + print(" │ └── icon-*.png") + print(" ├── mac/") + print(" │ ├── appIcon.icns (if created)") + print(" │ └── icon-*.png") + print(" └── linux/") + print(" ├── appIcon.svg (if available)") + print(" └── icon-*.png") + +if __name__ == '__main__': + main() diff --git a/tools/icons/linux/appIcon.svg b/tools/icons/linux/appIcon.svg new file mode 100644 index 0000000..53acd9e --- /dev/null +++ b/tools/icons/linux/appIcon.svg @@ -0,0 +1,734 @@ +<?xml version="1.0" encoding="utf-8"?> +<!-- Generator: Adobe Illustrator 16.0.0, SVG Export Plug-In . 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legally acquired eBooks only.** <br> +The authors are not responsible for any misuse of this software or any resulting legal consequences. <br> +Use this tool responsibly and in accordance with all applicable laws. + +[![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/63Tv3F65k6)](https://discord.gg/63Tv3F65k6) + +### Thanks to support ebook2audiobook developers! +[![Ko-Fi](https://img.shields.io/badge/Ko--fi-F16061?style=for-the-badge&logo=ko-fi&logoColor=white)](https://ko-fi.com/athomasson2) + +### Run locally + +[![Quick Start](https://img.shields.io/badge/Quick%20Start-blue?style=for-the-badge)](#instructions) + +[![Docker Build](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml/badge.svg)](https://github.com/DrewThomasson/ebook2audiobook/actions/workflows/Docker-Build.yml) [![Download](https://img.shields.io/badge/Download-Now-blue.svg)](https://github.com/DrewThomasson/ebook2audiobook/releases/latest) + + +<a href="https://github.com/DrewThomasson/ebook2audiobook"> + <img src="https://img.shields.io/badge/Platform-mac%20|%20linux%20|%20windows-lightgrey" alt="Platform"> +</a><a href="https://hub.docker.com/r/athomasson2/ebook2audiobook"> +<img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/athomasson2/ebook2audiobook.svg"/> +</a> + +### Run Remotely +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/ebook2audiobook) +[![Free Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/main/Notebooks/colab_ebook2audiobook.ipynb) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/Rihcus/ebook2audiobookXTTS/blob/main/Notebooks/kaggle-ebook2audiobook.ipynb) + +#### GUI Interface +![demo_web_gui](assets/demo_web_gui.gif) + +<details> + <summary>Click to see images of Web GUI</summary> + <img width="1728" alt="GUI Screen 1" src="assets/gui_1.png"> + <img width="1728" alt="GUI Screen 2" src="assets/gui_2.png"> + <img width="1728" alt="GUI Screen 3" src="assets/gui_3.png"> +</details> + +## Demos + +**New Default Voice Demo** + +https://github.com/user-attachments/assets/750035dc-e355-46f1-9286-05c1d9e88cea + +<details> + <summary>More Demos</summary> + +**ASMR Voice** + +https://github.com/user-attachments/assets/68eee9a1-6f71-4903-aacd-47397e47e422 + +**Rainy Day Voice** + +https://github.com/user-attachments/assets/d25034d9-c77f-43a9-8f14-0d167172b080 + +**Scarlett Voice** + +https://github.com/user-attachments/assets/b12009ee-ec0d-45ce-a1ef-b3a52b9f8693 + +**David Attenborough Voice** + +https://github.com/user-attachments/assets/81c4baad-117e-4db5-ac86-efc2b7fea921 + +**Example** + +![Example](https://github.com/DrewThomasson/VoxNovel/blob/dc5197dff97252fa44c391dc0596902d71278a88/readme_files/example_in_app.jpeg) +</details> + +## README.md + +## Table of Contents +- [ebook2audiobook](#-ebook2audiobook) +- [Features](#features) +- [GUI Interface](#gui-interface) +- [Demos](#demos) +- [Supported Languages](#supported-languages) +- [Minimum Requirements](#hardware-requirements) +- [Usage](#instructions) + - [Run Locally](#instructions) + - [Launching Gradio Web Interface](#instructions) + - [Basic Headless Usage](#basic-usage) + - [Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload) + - [Help command output](#help-command-output) + - [Run Remotely](#run-remotely) + - [Docker](#docker) + - [Steps to Run](#docker) + +- [Cloned Voices](#cloned-voices) +- [Fine Tuned TTS models](#fine-tuned-tts-models) + - [Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection) + - [Train XTTSv2](#fine-tune-your-own-xttsv2-model) +- [Supported eBook Formats](#supported-ebook-formats) +- [Output Formats](#output-and-process-formats) +- [Revert to older Version](#reverting-to-older-versions) +- [Common Issues](#common-issues) +- [Special Thanks](#special-thanks) +- [Table of Contents](#table-of-contents) + + +## Features +- 🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS` +- 📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip` +- 💻 **TextArea** to convert directly a short text in audio +- 🔍 **OCR scanning** for files with text pages as images +- 🔊 **High-quality text-to-speech** from near realtime to near real voice +- 🗣️ **Optional voice cloning** using your own voice file +- 🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)) +- 💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)** +- 🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm` +- 🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available)) +- 🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request) +- 🎛️ **Fine-tuned preset models** trained by the E2A Team<br/> + <i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i> + + +## Hardware Requirements +- 2GB RAM min, 8GB recommended. +- 1GB VRAM min, 4GB recommended. +- Virtualization enabled if running on windows (Docker only). +- CPU, XPU (intel, AMD, ARM)*. +- CUDA, ROCm, JETSON +- MPS (Apple Silicon CPU) + +*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i> + +## Supported Languages +| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** | +|:------------------:|:------------------:|:------------------:|:------------------:| +| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** | +| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** | +| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** | +| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** | +| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**| +| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** | +- [**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) + + +## Supported eBook Formats +- `.epub`, `.pdf`, `.mobi`, `.txt`, `.html`, `.rtf`, `.chm`, `.lit`, + `.pdb`, `.fb2`, `.odt`, `.cbr`, `.cbz`, `.prc`, `.lrf`, `.pml`, + `.snb`, `.cbc`, `.rb`, `.tcr` +- **Best results**: `.epub` or `.mobi` for automatic chapter detection + +## Output and process Formats +- `.m4b`, `.m4a`, `.mp4`, `.webm`, `.mov`, `.mp3`, `.flac`, `.wav`, `.ogg`, `.aac` +- Process format can be changed in lib/conf.py + +## SML tags available +- `[break]` — silence (random range **0.3–0.6 sec.**) +- `[pause]` — silence (random range **1.0–1.6 sec.**) +- `[pause:N]` — fixed pause (**N sec.**) +- `[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI + +**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)** + +> [!IMPORTANT] +**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br> +to be sure your issue does not exist already.** + +>[!NOTE] +**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br> +So you should first remove manually any text you don't want to be converted in audio.** + + +### Instructions +1. **Clone repo** + ```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook + ``` + +2. **Install / Run ebook2audiobook**: + + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command + ``` + <i>Note for MacOS users: homebrew is installed to install missing programs.</i> + + - **Mac Launcher** + Double click `Mac Ebook2Audiobook Launcher.command` + + + - **Windows** + ```bash + ebook2audiobook.cmd + ``` + or + Double click `ebook2audiobook.cmd` + + <i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i> + +1. **Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/` +2. **For Public Link**: + `./ebook2audiobook.command --share` (Linux/MacOS) + `ebook2audiobook.cmd --share` (Windows) + `python app.py --share` (all OS) + +> [!IMPORTANT] +**If the script is stopped and run again, you need to refresh your gradio GUI interface<br> +to let the web page reconnect to the new connection socket.** + +### Basic Usage + - **Linux/MacOS**: + ```bash + ./ebook2audiobook.command --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <path_to_ebook_file> --voice <path_to_voice_file> --language <language_code> + ``` + + - **[--ebook]**: Path to your eBook file + - **[--voice]**: Voice cloning file path (optional) + - **[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br> + Default language is eng and --language is optional for default language set in ./lib/lang.py.<br> + The ISO-639-1 2 letters codes are also supported. + + +### Example of Custom Model Zip Upload + (must be a .zip file containing the mandatory model files. Example for XTTSv2: config.json, model.pth, vocab.json and ref.wav) + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --headless --ebook <ebook_file_path> --language <language> --custom_model <custom_model_path> + ``` + <i>Note: the ref.wav of your custom model is always the voice selected for the conversion</i> + +- **<custom_model_path>**: Path to `model_name.zip` file, + which must contain (according to the tts engine) all the mandatory files<br> + (see ./lib/models.py). + +### For Detailed Guide with list of all Parameters to use + - **Linux/MacOS** + ```bash + ./ebook2audiobook.command --help + ``` + - **Windows** + ```bash + ebook2audiobook.cmd --help + ``` + - **Or for all OS** + ```python + app.py --help + ``` + +<a id="help-command-output"></a> +```bash +usage: app.py [-h] [--session SESSION] [--share] [--headless] [--ebook EBOOK] [--ebooks_dir EBOOKS_DIR] + [--language LANGUAGE] [--voice VOICE] [--voice_map VOICE_MAP] [--device {CPU,CUDA,MPS,ROCM,XPU,JETSON}] + [--tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts}] + [--custom_model CUSTOM_MODEL] [--fine_tuned FINE_TUNED] [--output_format OUTPUT_FORMAT] + [--output_channel OUTPUT_CHANNEL] [--temperature TEMPERATURE] [--length_penalty LENGTH_PENALTY] + [--num_beams NUM_BEAMS] [--repetition_penalty REPETITION_PENALTY] [--top_k TOP_K] [--top_p TOP_P] + [--speed SPEED] [--enable_text_splitting] [--text_temp TEXT_TEMP] [--waveform_temp WAVEFORM_TEMP] + [--output_dir OUTPUT_DIR] [--version] + +Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion. + +options: + -h, --help show this help message and exit + --session SESSION Session to resume the conversion in case of interruption, crash, + or reuse of custom models and custom cloning voices. + +**** The following option is for gradio/gui mode only: + --share (Optional) Enable a public shareable Gradio link. + +**** The following options are for --headless mode only: + --headless Run the script in headless mode + --ebook EBOOK Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present. + --ebooks_dir EBOOKS_DIR + Relative or absolute path of the directory containing the files to convert. + Cannot be used when --ebook is present. + --text TEXT Raw text for conversion. Cannot be used when --ebook or --ebooks_dir is present. + --language LANGUAGE Language of the e-book. Default language is set + in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py + +optional parameters: + --translate ISO3 (Optional) Translate ebook to a target language (ISO 639-3 code, e.g. eng, fra, deu) before TTS synthesis. + Uses argostranslate. The target language becomes the effective TTS language for the run. + A copy of the source ebook is made with the _<iso3> suffix so translated and non-translated + outputs stay isolated (independent process folder, audio chunks, and final file). + --voice VOICE (Optional) Path to the voice cloning file for TTS engine. + Uses the default voice if not present. + --voice_map VOICE_MAP + (Optional, --ebooks_dir only) Path to a JSON file mapping ebook path -> voice path. + Each entry overrides --voice for that specific ebook. Missing/null entries fall back to --voice. + Keys may be absolute paths or basenames. Example: + {"book1.epub": "/voices/eng/adult/female/alice.wav", "/abs/path/book2.epub": null} + --device {CPU,CUDA,MPS,ROCM,XPU,JETSON} + (Optional) Processor unit type for the conversion. + Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available. + --tts_engine {XTTS,BARK,VITS,FAIRSEQ,TACOTRON,YOURTTS,xtts,bark,vits,fairseq,tacotron,yourtts} + (Optional) Preferred TTS engine (available are: ['XTTS', 'BARK', 'VITS', 'FAIRSEQ', 'TACOTRON', 'YOURTTS', 'xtts', 'bark', 'vits', 'fairseq', 'tacotron', 'yourtts']. + Default depends on the selected language. The tts engine should be compatible with the chosen language + --custom_model CUSTOM_MODEL + (Optional) Path to the custom model zip file cntaining mandatory model files. + Please refer to ./lib/models.py + --fine_tuned FINE_TUNED + (Optional) Fine tuned model path. Default is builtin model. + --output_format OUTPUT_FORMAT + (Optional) Output audio format. Default is m4b set in ./lib/conf.py + --output_channel OUTPUT_CHANNEL + (Optional) Output audio channel. Default is mono set in ./lib/conf.py + --temperature TEMPERATURE + (xtts only, optional) Temperature for the model. + Default to config.json model. Higher temperatures lead to more creative outputs. + --length_penalty LENGTH_PENALTY + (xtts only, optional) A length penalty applied to the autoregressive decoder. + Default to config.json model. Not applied to custom models. + --num_beams NUM_BEAMS + (xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty. + Default to config.json model. + --repetition_penalty REPETITION_PENALTY + (xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself. + Default to config.json model. + --top_k TOP_K (xtts only, optional) Top-k sampling. + Lower values mean more likely outputs and increased audio generation speed. + Default to config.json model. + --top_p TOP_P (xtts only, optional) Top-p sampling. + Lower values mean more likely outputs and increased audio generation speed. Default to config.json model. + --speed SPEED (xtts only, optional) Speed factor for the speech generation. + Default to config.json model. + --enable_text_splitting + (xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient. + Default to config.json model. + --text_temp TEXT_TEMP + (bark only, optional) Text Temperature for the model. + Default to config.json model. + --waveform_temp WAVEFORM_TEMP + (bark only, optional) Waveform Temperature for the model. + Default to config.json model. + --output_dir OUTPUT_DIR + (Optional) Path to the output directory. Default is set in ./lib/conf.py + --version Show the version of the script and exit + +Example usage: +Windows: + Gradio/GUI: + ebook2audiobook.cmd + Headless mode: + ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng +Linux/Mac: + Gradio/GUI: + ./ebook2audiobook.command + Headless mode: + ./ebook2audiobook.command --headless --ebook '/path/to/file' --language eng + +SML tags available: + [break] — silence (random range **0.3–0.6 sec.**) + [pause] — silence (random range **1.0–1.6 sec.**) + [pause:N] — fixed pause (**N sec.**) + [voice:/path/to/voice/file]...[/voice] — switch voice from default or selected voice from GUI/CLI + +``` + +NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component. +TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc. + +### Docker +1. **Clone the Repository**: +```bash + git clone https://github.com/DrewThomasson/ebook2audiobook.git + cd ebook2audiobook +``` +2. **Build the container** +```bash + Windows: + Docker: + ebook2audiobook.cmd --script_mode build_docker + Docker Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode compose + Podman Compose: + ebook2audiobook.cmd --script_mode build_docker --docker_mode podman + Linux/Mac + Docker: + ./ebook2audiobook.command --script_mode build_docker + Docker Compose + ./ebook2audiobook.command --script_mode build_docker --docker_mode compose + Podman Compose: + ./ebook2audiobook.command --script_mode build_docker --docker_mode podman +``` +4. **Run the Container:** +```bash +Docker run image: + Gradio/GUI: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cpu + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --gpus all --rm -it -p 7860:7860 athomasson2/ebook2audiobook:cu[118/122/124/126 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:rocm[6.0/6.1/6.4 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --device=/dev/dri --rm -it -p 7860:7860 athomasson2/ebook2audiobook:xpu + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" --runtime nvidia --rm -it -p 7860:7860 athomasson2/ebook2audiobook:jetson[51/60/61 etc...] + Headless mode: + CPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --rm -it -p 7860:7860 ebook2audiobook:cpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + CUDA: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --gpus all --rm -it -p 7860:7860 ebook2audiobook:cu[118/122/124/126 etc..] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + ROCM: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/kfd --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:rocm[6.0/6.1/6.4 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + XPU: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --device=/dev/dri --rm -it -p 7860:7860 ebook2audiobook:xpu --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] + JETSON: + docker run -v "./ebooks:/app/ebooks" -v "./audiobooks:/app/audiobooks" -v "./models:/app/models" -v "./voices:/app/voices" -v "./tmp:/app/tmp" -v "/my/real/ebooks/folder/absolute/path:/app/another_ebook_folder" --runtime nvidia --rm -it -p 7860:7860 ebook2audiobook:jetson[51/60/61 etc.] --headless --ebook "/app/another_ebook_folder/myfile.pdf" [--voice /app/my/voicepath/voice.mp3 etc..] +Docker Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 docker compose --profile gpu up --no-log-prefix + Run Headless mode: + DEVICE_TAG=cu128 docker compose --profile gpu run --rm ebook2audiobook --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +Podman Compose (i.e. cuda 12.8: + Run Gradio GUI: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu up + Run Headless mode: + DEVICE_TAG=cu128 podman-compose -f podman-compose.yml --profile gpu run --rm ebook2audiobook-gpu --headless --ebook "/app/ebooks/myfile.pdf" --voice /app/voices/eng/adult/female/some_voice.wav etc.. +``` +- NOTE: MPS is not exposed in docker so CPU must be used + +## Cloned Voices +You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn. +It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you. + +The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially +added to the list, please contact us and we'll add them after review. + +## Fine Tuned TTS models +#### Fine Tune your own XTTSv2 model + +[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb) + + +#### De-noise training data + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/DeepFilterNet2_no_limit) [![GitHub Repo](https://img.shields.io/badge/DeepFilterNet-181717?logo=github)](https://github.com/Rikorose/DeepFilterNet) + + +### Fine Tuned TTS Collection + +[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Models-yellow?style=flat&logo=huggingface)](https://huggingface.co/drewThomasson/fineTunedTTSModels/tree/main) + +For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory: + +## Your own Ebook2Audiobook customization +You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make +a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put +back the original one. You must plan the same process for models.py. If you wish to make your own custom model +as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list. + +## Reverting to older Versions +Releases can be found -> [here](https://github.com/DrewThomasson/ebook2audiobook/releases) +```bash +git checkout tags/VERSION_NUM # Locally/Compose -> Example: git checkout tags/v25.7.7 +``` + +## Common Issues: +- My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES) +- CPU is slow (better on server smp CPU) while GPU can have almost real time conversion. + [Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846) + (It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu). +- "I'm having dependency issues" - Just use the docker, its fully self contained and has a headless mode, + add `--help` parameter at the end of the docker run command for more information. +- "I'm getting a truncated audio issue!" - PLEASE MAKE AN ISSUE OF THIS, + we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊 + +## ***** ROADMAP ***** +- All Features open to public Contributions ⭐ +- Any help from people speaking any of the supported languages to help us improve the models ⭐ +- [x] Preview Blocks/Chapters before to start the conversion +- [ ] Edit by sentence converted for surgical text change +- [x] SML tags integration for voice, pause, break, and more changes +- [x] -h -help parameter info in different languages +- [x] OCR scanning for PDF / JPG / BMP / PNG / TIFF +- [x] Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254) +- [x] Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894) +- [x] Dockerfile +- [x] Docker compose +- [x] Podman compose +- [x] Kaggle Notebook +- [x] Google Colab Notebook +- [ ] Audiobookshelf integration +- [ ] [Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) +- [ ] [Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212) + +#### Extra Options +- [x] Ebook Translation option +- [x] Output format choices +- [x] Batch ebook folder +- [x] Multiprocessing conversion +- [x] Batch ebook folder conversion +- [x] GPU Device detection +- [x] Denoise any reference audio for upload voice cloning, +- [x] Custom model upload (XTTSv2 only for now. more on request) +- [ ] Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome) +- [ ] Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome) + +#### TTS engines +- [x] XTTSv2 +- [x] Bark +- [x] Fairseq +- [x] VITS +- [x] Tacotron2 +- [x] YourTTS +- [x] Tortoise +- [x] GlowTTS +- [x] Piper +- [ ] GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS) +- [ ] OpenVoice (https://github.com/myshell-ai/OpenVoice) +- [ ] fish-speech (https://github.com/fishaudio/fish-speech) +- [ ] ChatTTS (https://github.com/2noise/ChatTTS) +- [ ] CosyVoice (https://github.com/FunAudioLLM/CosyVoice) +- [ ] F5-TTS (https://github.com/swivid/f5-tts) +- [ ] chatterbox (https://github.com/resemble-ai/chatterbox) +- [ ] Supertonic (https://github.com/supertone-inc/supertonic) +- [ ] Spark-TTS (https://github.com/sparkaudio/spark-tts) +- [ ] index-tts (https://github.com/index-tts/index-tts) +- [ ] MeloTTS (https://github.com/myshell-ai/MeloTTS) +- [ ] Kokoro-TTS (https://github.com/hexgrad/kokoro) +- [ ] OmniVoice (https://github.com/k2-fsa/OmniVoice) +- [ ] Zonos (https://github.com/Zyphra/Zonos) +- [ ] Style-TTS2 (https://github.com/yl4579/StyleTTS2) +- [ ] Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS) +- [ ] NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file) +- [ ] VIbeVoice (https://github.com/vibevoice-community/VibeVoice) +- [ ] Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS) + +#### Readme Translation +- [x] Arabic (ara) +- [x] Chinese (zho) +- [x] English (eng) +- [x] Spanish (spa) +- [x] French (fra) +- [x] German (deu) +- [x] Italian (ita) +- [x] Portuguese (por) +- [x] Polish (pol) +- [x] Turkish (tur) +- [x] Russian (rus) +- [x] Dutch (nld) +- [x] Czech (ces) +- [x] Japanese (jpn) +- [x] Hindi (hin) +- [x] Bengali (ben) +- [x] Hungarian (hun) +- [x] Korean (kor) +- [x] Vietnamese (vie) +- [x] Swedish (swe) +- [x] Persian (fas) +- [x] Yoruba (yor) +- [x] Swahili (swa) +- [x] Indonesian (ind) +- [x] Slovak (slk) +- [x] Croatian (hrv) + +#### 🐍 OS Compatibility +- [x] 🍎 Mac Intel x86 +- [x] 🪟 Windows x86 +- [x] 🐧 Linux x86 +- [x] 🖥️🍏 Apple Silicon Mac +- [x] 🪟💪 ARM Windows +- [x] 🐧💪 ARM Linux + +********** + +## Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) +- For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune) +- [ ] Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech) + + +## Python Code normalization information for contributors +- no blank line between code, unless between functions and classes. +- single quote used for all key unless for dict() and json. dict['key'] always called with single quote +- 4 spaces indentation, not tab at all +- strict typing for all functions and its arguments declaration and return values +- no space between the argument and its typing, no space between the function, the "->" and the return value + +Example: + +```python +import json +from typing import Optional + +def get_user(user_id:int, users:list[dict])->Optional[dict]: + for user in users: + if user['id'] == user_id: + return user + return None + +def summarize(user:dict)->str: + return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}." + +def to_json(user:dict)->str: + return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']}) + +users:list = [ + dict(id=1, name="alice", email="alice@example.com", role="admin", is_active=True), + dict(id=2, name="bob", email="bob@example.com", role="editor", is_active=False), + dict(id=3, name="carol", email="carol@example.com", role="viewer", is_active=True), +] +config = { + "max_users": 100, + "default_role": "viewer", + "allow_signup": True, +} +roles = ['admin', 'editor', 'viewer'] +found = get_user(1, users) +if found: + print(summarize(found)) + print(found['email']) + print(to_json(found)) +if config['default_role'] in roles: + print(config['default_role']) +``` + +## Hardware donation for beta tests wanted +We accept any kind of hardware to test our development like: +- Nvidia supporting cuda >= 11.8 +- XPU intel cards +- ROCm AMD cards supporting ROCm >=5.7 + +@DrewThomasson if you want to help out at all! 😃 +<!-- +## Do you need to rent a GPU to boost service from us? +- A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889 +--> + +## Special Thanks +To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A. \ No newline at end of file diff --git a/tools/readme_i18n/cache.json b/tools/readme_i18n/cache.json new file mode 100644 index 0000000..931e409 --- /dev/null +++ b/tools/readme_i18n/cache.json @@ -0,0 +1,5699 @@ +{ + "ar|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "محوّل CPU/GPU من الكتاب الإلكتروني إلى كتاب صوتي مع الفصول والبيانات الوصفية<br/>", + "ar|using advanced TTS engines and much more.<br/>": "باستخدام محركات TTS المتقدمة وغير ذلك الكثير.<br/>", + "ar|Supports voice cloning and 1158 languages!": "يدعم استنساخ الصوت و1158 لغة!", + "ar|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**هذه الأداة مخصصة للاستخدام فقط مع الكتب الإلكترونية الخالية من DRM والتي تم الحصول عليها بشكل قانوني.** <br>", + "ar|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "المؤلفون غير مسؤولين عن أي سوء استخدام لهذا البرنامج أو أي عواقب قانونية تنتج عنه. <br>", + "ar|Use this tool responsibly and in accordance with all applicable laws.": "استخدم هذه الأداة بمسؤولية وبما يتوافق مع جميع القوانين المعمول بها.", + "ar|Thanks to support ebook2audiobook developers!": "شكرًا لدعمك لمطوّري ebook2audiobook!", + "ar|Run locally": "التشغيل محليًا", + "ar|Run Remotely": "التشغيل عن بُعد", + "ar|GUI Interface": "الواجهة الرسومية (GUI)", + "ar|<summary>Click to see images of Web GUI</summary>": "<summary>انقر لرؤية صور واجهة الويب الرسومية</summary>", + "ar|Demos": "عروض توضيحية", + "ar|**New Default Voice Demo** ": "**عرض توضيحي للصوت الافتراضي الجديد** ", + "ar|<summary>More Demos</summary>": "<summary>المزيد من العروض التوضيحية</summary>", + "ar|**ASMR Voice** ": "**صوت ASMR** ", + "ar|**Rainy Day Voice** ": "**صوت يوم ممطر** ", + "ar|**Scarlett Voice**": "**صوت سكارليت**", + "ar|**David Attenborough Voice** ": "**صوت ديفيد أتينبورو** ", + "ar|**Example**": "**مثال**", + "ar|Table of Contents": "جدول المحتويات", + "ar|[Features](#features)": "[الميزات](#features)", + "ar|[GUI Interface](#gui-interface)": "[الواجهة الرسومية](#gui-interface)", + "ar|[Demos](#demos)": "[عروض توضيحية](#demos)", + "ar|[Supported Languages](#supported-languages)": "[اللغات المدعومة](#supported-languages)", + "ar|[Minimum Requirements](#hardware-requirements)": "[الحد الأدنى من المتطلبات](#hardware-requirements)", + "ar|[Usage](#instructions)": "[الاستخدام](#instructions)", + "ar|[Run Locally](#instructions)": "[التشغيل محليًا](#instructions)", + "ar|[Launching Gradio Web Interface](#instructions)": "[تشغيل واجهة الويب Gradio](#instructions)", + "ar|[Basic Headless Usage](#basic-usage)": "[الاستخدام الأساسي بدون واجهة](#basic-usage)", + "ar|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[استخدام نموذج XTTS مخصص بدون واجهة](#example-of-custom-model-zip-upload)", + "ar|[Help command output](#help-command-output)": "[مخرجات أمر المساعدة](#help-command-output)", + "ar|[Run Remotely](#run-remotely)": "[التشغيل عن بُعد](#run-remotely)", + "ar|[Steps to Run](#docker)": "[خطوات التشغيل](#docker)", + "ar|[Common Docker Issues](#common-docker-issues)": "[مشكلات Docker الشائعة](#common-docker-issues)", + "ar|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[نماذج TTS المضبوطة بدقة](#fine-tuned-tts-models)", + "ar|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[مجموعة نماذج TTS المضبوطة بدقة](#fine-tuned-tts-collection)", + "ar|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[تدريب XTTSv2](#fine-tune-your-own-xttsv2-model)", + "ar|[Supported eBook Formats](#supported-ebook-formats)": "[صيغ الكتب الإلكترونية المدعومة](#supported-ebook-formats)", + "ar|[Output Formats](#output-and-process-formats)": "[صيغ الإخراج](#output-and-process-formats)", + "ar|[Revert to older Version](#reverting-to-older-versions)": "[العودة إلى إصدار أقدم](#reverting-to-older-versions)", + "ar|[Common Issues](#common-issues)": "[المشكلات الشائعة](#common-issues)", + "ar|[Special Thanks](#special-thanks)": "[شكر خاص](#special-thanks)", + "ar|[Table of Contents](#table-of-contents)": "[جدول المحتويات](#table-of-contents)", + "ar|Features": "الميزات", + "ar|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **محركات TTS المدعومة**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "ar|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **تحويل صيغ ملفات متعددة**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "ar|💻 **TextArea** to convert directly a short text in audio": "💻 **منطقة نص** لتحويل نص قصير مباشرةً إلى صوت", + "ar|🔍 **OCR scanning** for files with text pages as images": "🔍 **مسح OCR** للملفات التي تحتوي على صفحات نصية كصور", + "ar|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **تحويل نص إلى كلام عالي الجودة**، من شبه الوقت الفعلي إلى صوت شبه حقيقي", + "ar|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **استنساخ صوت اختياري** باستخدام ملف صوتك الخاص", + "ar|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **يدعم 1158 لغة** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "ar|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **صديق للموارد المنخفضة** — يعمل على **2 GB RAM / 1 GB VRAM (الحد الأدنى)**", + "ar|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **صيغ إخراج الكتاب الصوتي**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "ar|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **وسوم SML مدعومة** — تحكم دقيق في الفواصل والتوقفات وتبديل الصوت والمزيد ([see below](#sml-tags-available))", + "ar|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **نموذج مخصص اختياري** باستخدام نموذجك المدرّب الخاص (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "ar|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **نماذج مُعدّة مسبقًا ومضبوطة بدقة** دُرّبت بواسطة فريق E2A<br/>", + "ar|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(تواصل معنا إذا كنت بحاجة إلى نماذج إضافية مضبوطة بدقة، أو إذا كنت ترغب في مشاركة نماذجك في قائمة الإعدادات المسبقة الرسمية)</i>", + "ar|Hardware Requirements": "متطلبات العتاد", + "ar|2GB RAM min, 8GB recommended.": "2 جيجابايت RAM كحد أدنى، 8 جيجابايت موصى به.", + "ar|1GB VRAM min, 4GB recommended.": "1 جيجابايت VRAM كحد أدنى، 4 جيجابايت موصى به.", + "ar|Virtualization enabled if running on windows (Docker only).": "المحاكاة الافتراضية مُفعّلة عند التشغيل على windows (Docker فقط).", + "ar|CPU, XPU (intel, AMD, ARM)*.": "CPU، XPU (intel، AMD، ARM)*.", + "ar|CUDA, ROCm, JETSON": "CUDA، ROCm، JETSON", + "ar|MPS (Apple Silicon CPU)": "MPS (معالج Apple Silicon)", + "ar|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> محركات TTS الحديثة بطيئة جدًا على CPU، لذا استخدم TTS أقل جودة مثل YourTTS وTacotron2 وما إلى ذلك.</i>", + "ar|Supported Languages": "اللغات المدعومة", + "ar|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 لغة ولهجة هنا**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "ar|Supported eBook Formats": "صيغ الكتب الإلكترونية المدعومة", + "ar|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**أفضل النتائج**: `.epub` أو `.mobi` للكشف التلقائي عن الفصول", + "ar|Output and process Formats": "صيغ الإخراج والمعالجة", + "ar|Process format can be changed in lib/conf.py": "يمكن تغيير صيغة المعالجة في lib/conf.py", + "ar|SML tags available": "وسوم SML المتاحة", + "ar|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — صمت (نطاق عشوائي **0.3–0.6 sec.**)", + "ar|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — صمت (نطاق عشوائي **1.0–1.6 sec.**)", + "ar|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — توقف ثابت (**N sec.**)", + "ar|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — تبديل الصوت من الصوت الافتراضي أو المحدد من GUI/CLI", + "ar|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**اطّلع على مستودعنا الآخر المخصص لإضافة SML تلقائيًا في كتابك الإلكتروني -> [E2A-SML](./tools/E2A-SML)**", + "ar|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**قبل نشر مشكلة تثبيت أو خطأ، ابحث بعناية في علامة تبويب المشكلات المفتوحة والمغلقة<br>", + "ar|to be sure your issue does not exist already.**": "للتأكد من أن مشكلتك غير موجودة بالفعل.**", + "ar|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**تفتقر صيغة EPUB إلى أي بنية معيارية لما هو الفصل أو الفقرة أو المقدمة وما إلى ذلك.<br>", + "ar|So you should first remove manually any text you don't want to be converted in audio.**": "لذا يجب عليك أولًا أن تزيل يدويًا أي نص لا ترغب في تحويله إلى صوت.**", + "ar|**Install / Run ebook2audiobook**:": "**ثبّت / شغّل ebook2audiobook**:", + "ar|**Mac Launcher** ": "**مشغّل Mac** ", + "ar|Double click `Mac Ebook2Audiobook Launcher.command`": "انقر نقرًا مزدوجًا على `Mac Ebook2Audiobook Launcher.command`", + "ar|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>ملاحظة لمستخدمي Windows: يتم تثبيت scoop لتثبيت البرامج المفقودة دون امتيازات المسؤول.</i>", + "ar|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**افتح تطبيق الويب**: انقر على الرابط المتوفر في الطرفية للوصول إلى تطبيق الويب وتحويل الكتب الإلكترونية. `http://localhost:7860/`", + "ar|**For Public Link**:": "**للحصول على رابط عام**:", + "ar|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**إذا تم إيقاف السكربت وتشغيله مرة أخرى، فستحتاج إلى تحديث واجهة Gradio الرسومية<br>", + "ar|to let the web page reconnect to the new connection socket.**": "للسماح لصفحة الويب بإعادة الاتصال بمقبس الاتصال الجديد.**", + "ar|**[--ebook]**: Path to your eBook file": "**[--ebook]**: مسار ملف كتابك الإلكتروني", + "ar|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: مسار ملف استنساخ الصوت (اختياري)", + "ar|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: رمز اللغة بصيغة ISO-639-3 (أي: ita للإيطالية، eng للإنجليزية، deu للألمانية...).<br>", + "ar|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "اللغة الافتراضية هي eng و--language اختياري للغة الافتراضية المحددة في ./lib/lang.py.<br>", + "ar|The ISO-639-1 2 letters codes are also supported.": "كما يتم دعم رموز ISO-639-1 المكونة من حرفين.", + "ar|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: مسار ملف `model_name.zip`،", + "ar|which must contain (according to the tts engine) all the mandatory files<br>": "الذي يجب أن يحتوي (وفقًا لمحرك tts) على جميع الملفات الإلزامية<br>", + "ar|(see ./lib/models.py).": "(انظر ./lib/models.py).", + "ar|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "ملاحظة: في وضع gradio/gui، لإلغاء تحويل قيد التشغيل، ما عليك سوى النقر على [X] في مكوّن رفع الكتاب الإلكتروني.", + "ar|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "نصيحة: إذا كانت هناك حاجة إلى توقف أطول قليلًا، أضف '[pause:3]' لمدة 3 ثوانٍ وما إلى ذلك.", + "ar|Common Docker Issues": "مشكلات Docker الشائعة", + "ar|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "لا يتم اكتشاف بطاقة NVIDIA الرسومية لدي؟؟ -> [صفحة Wiki لمشكلات GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ar|Fine Tuned TTS models": "نماذج TTS المضبوطة بدقة (fine-tuned)", + "ar|Fine Tune your own XTTSv2 model": "اضبط نموذج XTTSv2 الخاص بك بدقة", + "ar|De-noise training data": "إزالة الضوضاء من بيانات التدريب", + "ar|Fine Tuned TTS Collection": "مجموعة نماذج TTS المضبوطة بدقة", + "ar|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "بالنسبة إلى نموذج XTTSv2 المخصص، يكون مقطع صوتي مرجعي للصوت إلزاميًا:", + "ar|Your own Ebook2Audiobook customization": "تخصيصك الخاص لـ Ebook2Audiobook", + "ar|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "أنت حر في تعديل libs/conf.py لإضافة أو إزالة الإعدادات التي تريدها. إذا كنت تخطط للقيام بذلك، فما عليك سوى إنشاء", + "ar|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "نسخة من conf.py الأصلي بحيث يمكنك في كل تحديث لـ ebook2audiobook عمل نسخة احتياطية من conf.py المعدّل وإعادة", + "ar|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "وضع الأصلي. يجب عليك التخطيط للعملية نفسها بالنسبة لـ models.py. إذا كنت ترغب في جعل نموذجك المخصص", + "ar|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "نموذج ebook2audiobook رسميًا مضبوطًا بدقة، فيرجى الاتصال بنا وسنضيفه إلى قائمة الإعدادات المسبقة.", + "ar|Common Issues:": "المشكلات الشائعة:", + "ar|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "لا يتم اكتشاف بطاقة NVIDIA/ROCm/XPU/MPS الرسومية لدي؟؟ -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ar|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "المعالج بطيء (أفضل على معالج خادم SMP) بينما يمكن لبطاقة GPU إجراء تحويل شبه فوري.", + "ar|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(لكنه لا يحتوي على استنساخ صوت zero-shot، وهي أصوات بجودة Siri، لكنه أسرع بكثير على cpu).", + "ar|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"أواجه مشكلات في التبعيات\" - ما عليك سوى استخدام docker، فهو مكتفٍ ذاتيًا تمامًا وله وضع بدون واجهة،", + "ar|add `--help` parameter at the end of the docker run command for more information.": "أضف المعامل `--help` في نهاية أمر docker run للمزيد من المعلومات.", + "ar|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"أواجه مشكلة في انقطاع الصوت!\" - يرجى إنشاء ISSUE حول هذا،", + "ar|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "نحن لا نتحدث كل لغة ونحتاج إلى نصيحة من المستخدمين لضبط منطق تقسيم الجمل بدقة.😊", + "ar|***** ROADMAP *****": "***** خارطة الطريق *****", + "ar|All Features open to public Contributions ⭐": "جميع الميزات مفتوحة للمساهمات العامة ⭐", + "ar|Any help from people speaking any of the supported languages to help us improve the models ⭐": "أي مساعدة من أشخاص يتحدثون أيًا من اللغات المدعومة لمساعدتنا في تحسين النماذج ⭐", + "ar|Preview Blocks/Chapters before to start the conversion": "معاينة الكتل/الفصول قبل بدء التحويل", + "ar|Edit by sentence converted for surgical text change": "التحرير لكل جملة محوّلة لتغيير نصي دقيق", + "ar|SML tags integration for voice, pause, break, and more changes ": "دمج وسوم SML للصوت والتوقف والفاصل والمزيد من التغييرات ", + "ar|-h -help parameter info in different languages": "معلومات معاملات -h -help بلغات مختلفة", + "ar|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "مسح OCR لملفات PDF / JPG / BMP / PNG / TIFF", + "ar|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "مجلد Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "ar|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "جعل تقسيم النص الصيني لا يقسم الكلمات وتحسين توقيت الفواصل [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "ar|Kaggle Notebook": "دفتر Kaggle", + "ar|Google Colab Notebook": "دفتر Google Colab", + "ar|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[إنشاء تطبيق iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ar|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[إنشاء تطبيق android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ar|Audiobookshelf integration": "دمج Audiobookshelf", + "ar|Extra Options": "خيارات إضافية", + "ar|Ebook Translation option": "خيار ترجمة الكتاب الإلكتروني", + "ar|Output format choices": "خيارات صيغة الإخراج", + "ar|Batch ebook folder": "مجلد كتب إلكترونية دفعي", + "ar|Multiprocessing conversion": "تحويل متعدد المعالجة", + "ar|Batch ebook folder conversion": "تحويل مجلد كتب إلكترونية دفعي", + "ar|GPU Device detection": "اكتشاف جهاز GPU", + "ar|Denoise any reference audio for upload voice cloning,": "إزالة الضوضاء من أي صوت مرجعي لرفع استنساخ الصوت،", + "ar|Custom model upload (XTTSv2 only for now. more on request)": "رفع نموذج مخصص (XTTSv2 فقط حاليًا. المزيد عند الطلب)", + "ar|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "إضافة نموذج لغة البرتغالية الأوروبية على الأقل لـ xttsv2 وfairseq وvits وpiper (المساعدة مرحب بها)", + "ar|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "إضافة نموذج لغة السندية على الأقل لـ xttsv2 وfairseq وvits وpiper (المساعدة مرحب بها)", + "ar|Readme Translation": "ترجمة Readme", + "ar|🐍 OS Compatibility": "🐍 توافق نظام التشغيل", + "ar|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "مبالغة إضافية لتدريب النماذج وما شابه (جميع نماذج Coqui-tts المدعومة وpiper-tts في أمر واحد سهل) ", + "ar|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "للمعلومات حول هذا @DrewThomasson، يعمل حاليًا على تطويره، [المستودع قيد العمل هنا](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "ar|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "إنشاء واجهة تدريب سهلة الاستخدام لجميع نماذج coqui-tts في وصفات التدريب بصيغة ljspeech [هنا من coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "ar|Python Code normalization information for contributors": "معلومات تسوية كود Python للمساهمين", + "ar|no blank line between code, unless between functions and classes.": "لا سطر فارغ بين الكود، باستثناء بين الدوال والفئات.", + "ar|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "تُستخدم علامات الاقتباس المفردة لجميع المفاتيح باستثناء dict() وjson. يتم استدعاء dict['key'] دائمًا بعلامات اقتباس مفردة", + "ar|4 spaces indentation, not tab at all": "مسافة بادئة من 4 مسافات، دون أي علامات جدولة على الإطلاق", + "ar|strict typing for all functions and its arguments declaration and return values": "كتابة صارمة للأنواع لجميع الدوال وإعلان وسائطها وقيم إرجاعها", + "ar|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "لا مسافة بين الوسيط وكتابة نوعه، لا مسافة بين الدالة و\"->\" وقيمة الإرجاع", + "ar|Example:": "مثال:", + "ar|Hardware donation for beta tests wanted": "مطلوب تبرع بالعتاد لاختبارات بيتا", + "ar|We accept any kind of hardware to test our development like:": "نقبل أي نوع من العتاد لاختبار تطويرنا مثل:", + "ar|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson إذا كنت ترغب في المساعدة بأي شكل من الأشكال! 😃", + "ar|Do you need to rent a GPU to boost service from us?": "هل تحتاج إلى استئجار GPU لتعزيز خدمتنا؟", + "ar|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "استطلاع رأي مفتوح هنا https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "ar|Special Thanks": "شكر خاص", + "ar|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 لطريقة أفضل لحفظ الفصول](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "ar|TTS engines": "محركات TTS", + "ar|XTTSv2": "XTTSv2", + "ar|Bark": "ﺡﺎﺒﻧ", + "ar|Fairseq": "فيرسيك", + "ar|VITS": "فيتس", + "ar|Tacotron2": "تاكوترون 2", + "ar|YourTTS": "YourTTS", + "ar|Tortoise": "لون السلحفاة", + "ar|GlowTTS": "GlowTTS", + "ar|Piper": "الفلفل الأسود", + "ar|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "ar|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "ar|fish-speech (https://github.com/fishaudio/fish-speech)": "كلام السمكة (https://github.com/fishaudio/fish-speech)", + "ar|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "ar|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "ar|F5-TTS (https://github.com/swivid/f5-tts)": "F5 - TTS (https://github.com/swivid/f5-tts)", + "ar|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "ar|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "ar|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark - TTS (https://github.com/sparkaudio/spark-tts)", + "ar|index-tts (https://github.com/index-tts/index-tts)": "index - tts (https://github.com/index-tts/index-tts)", + "ar|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "ar|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro - TTS (https://github.com/hexgrad/kokoro)", + "ar|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "ar|Zonos (https://github.com/Zyphra/Zonos)": "زونوس (https://github.com/Zyphra/Zonos)", + "ar|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style - TTS2 (https://github.com/yl4579/StyleTTS2)", + "ar|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus - TTS (https://github.com/canopyai/Orpheus-TTS)", + "ar|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "ar|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "ar|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "zh-CN|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "将电子书转换为带有章节和元数据的有声书的 CPU/GPU 转换器<br/>", + "zh-CN|using advanced TTS engines and much more.<br/>": "使用先进的 TTS 引擎等。<br/>", + "zh-CN|Supports voice cloning and 1158 languages!": "支持语音克隆和 1158 种语言!", + "zh-CN|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**本工具仅供与合法获取的无 DRM 电子书一起使用。** <br>", + "zh-CN|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "作者对本软件的任何滥用或由此产生的任何法律后果概不负责。 <br>", + "zh-CN|Use this tool responsibly and in accordance with all applicable laws.": "请负责任地使用本工具,并遵守所有适用的法律。", + "zh-CN|Thanks to support ebook2audiobook developers!": "感谢您支持 ebook2audiobook 的开发者!", + "zh-CN|Run locally": "本地运行", + "zh-CN|Run Remotely": "远程运行", + "zh-CN|GUI Interface": "图形界面(GUI)", + "zh-CN|<summary>Click to see images of Web GUI</summary>": "<summary>点击查看 Web GUI 图像</summary>", + "zh-CN|Demos": "演示", + "zh-CN|**New Default Voice Demo** ": "**新默认语音演示** ", + "zh-CN|<summary>More Demos</summary>": "<summary>更多演示</summary>", + "zh-CN|**ASMR Voice** ": "**ASMR 语音** ", + "zh-CN|**Rainy Day Voice** ": "**雨天语音** ", + "zh-CN|**Scarlett Voice**": "**斯嘉丽语音**", + "zh-CN|**David Attenborough Voice** ": "**大卫·阿滕伯勒语音** ", + "zh-CN|**Example**": "**示例**", + "zh-CN|Table of Contents": "目录", + "zh-CN|[Features](#features)": "[功能](#features)", + "zh-CN|[GUI Interface](#gui-interface)": "[图形界面](#gui-interface)", + "zh-CN|[Demos](#demos)": "[演示](#demos)", + "zh-CN|[Supported Languages](#supported-languages)": "[支持的语言](#supported-languages)", + "zh-CN|[Minimum Requirements](#hardware-requirements)": "[最低要求](#hardware-requirements)", + "zh-CN|[Usage](#instructions)": "[用法](#instructions)", + "zh-CN|[Run Locally](#instructions)": "[本地运行](#instructions)", + "zh-CN|[Launching Gradio Web Interface](#instructions)": "[启动 Gradio Web 界面](#instructions)", + "zh-CN|[Basic Headless Usage](#basic-usage)": "[基本 Headless 用法](#basic-usage)", + "zh-CN|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless 自定义 XTTS 模型用法](#example-of-custom-model-zip-upload)", + "zh-CN|[Help command output](#help-command-output)": "[帮助命令输出](#help-command-output)", + "zh-CN|[Run Remotely](#run-remotely)": "[远程运行](#run-remotely)", + "zh-CN|[Steps to Run](#docker)": "[运行步骤](#docker)", + "zh-CN|[Common Docker Issues](#common-docker-issues)": "[常见的 Docker 问题](#common-docker-issues)", + "zh-CN|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[微调 TTS 模型](#fine-tuned-tts-models)", + "zh-CN|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[微调 TTS 模型集合](#fine-tuned-tts-collection)", + "zh-CN|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[训练 XTTSv2](#fine-tune-your-own-xttsv2-model)", + "zh-CN|[Supported eBook Formats](#supported-ebook-formats)": "[支持的电子书格式](#supported-ebook-formats)", + "zh-CN|[Output Formats](#output-and-process-formats)": "[输出格式](#output-and-process-formats)", + "zh-CN|[Revert to older Version](#reverting-to-older-versions)": "[还原到较旧版本](#reverting-to-older-versions)", + "zh-CN|[Common Issues](#common-issues)": "[常见问题](#common-issues)", + "zh-CN|[Special Thanks](#special-thanks)": "[特别鸣谢](#special-thanks)", + "zh-CN|[Table of Contents](#table-of-contents)": "[目录](#table-of-contents)", + "zh-CN|Features": "功能", + "zh-CN|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **支持的 TTS 引擎**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "zh-CN|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **转换多种文件格式**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "zh-CN|💻 **TextArea** to convert directly a short text in audio": "💻 用于直接将短文本转换为音频的**文本区域**", + "zh-CN|🔍 **OCR scanning** for files with text pages as images": "🔍 针对文本页面为图像的文件的 **OCR 扫描**", + "zh-CN|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **高质量文本转语音**,从接近实时到接近真实的语音", + "zh-CN|🗣️ **Optional voice cloning** using your own voice file": "🗣️ 使用您自己的语音文件进行**可选的语音克隆**", + "zh-CN|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **支持 1158 种语言** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "zh-CN|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **低资源友好** — 可在 **2 GB RAM / 1 GB VRAM(最低)** 上运行", + "zh-CN|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **有声书输出格式**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "zh-CN|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **支持 SML 标签** — 对中断、停顿、语音切换等进行精细控制 ([see below](#sml-tags-available))", + "zh-CN|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 使用您自己训练的模型的**可选自定义模型** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "zh-CN|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ 由 E2A 团队训练的**微调预设模型**<br/>", + "zh-CN|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(如果您需要额外的微调模型,或者如果您想在官方预设列表中分享您自己的模型,请联系我们)</i>", + "zh-CN|Hardware Requirements": "硬件要求", + "zh-CN|2GB RAM min, 8GB recommended.": "RAM 最低 2GB,推荐 8GB。", + "zh-CN|1GB VRAM min, 4GB recommended.": "VRAM 最低 1GB,推荐 4GB。", + "zh-CN|Virtualization enabled if running on windows (Docker only).": "在 windows 上运行时启用虚拟化(仅限 Docker)。", + "zh-CN|CPU, XPU (intel, AMD, ARM)*.": "CPU、XPU(intel、AMD、ARM)*。", + "zh-CN|CUDA, ROCm, JETSON": "CUDA、ROCm、JETSON", + "zh-CN|MPS (Apple Silicon CPU)": "MPS(Apple Silicon CPU)", + "zh-CN|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> 现代 TTS 引擎在 CPU 上非常慢,因此请使用质量较低的 TTS,如 YourTTS、Tacotron2 等。</i>", + "zh-CN|Supported Languages": "支持的语言", + "zh-CN|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**此处有 +1130 种语言和方言**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "zh-CN|Supported eBook Formats": "支持的电子书格式", + "zh-CN|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**最佳效果**:使用 `.epub` 或 `.mobi` 进行自动章节检测", + "zh-CN|Output and process Formats": "输出和处理格式", + "zh-CN|Process format can be changed in lib/conf.py": "处理格式可在 lib/conf.py 中更改", + "zh-CN|SML tags available": "可用的 SML 标签", + "zh-CN|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — 静音(随机范围 **0.3–0.6 sec.**)", + "zh-CN|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — 静音(随机范围 **1.0–1.6 sec.**)", + "zh-CN|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — 固定停顿(**N sec.**)", + "zh-CN|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — 从默认语音或从 GUI/CLI 选择的语音切换语音", + "zh-CN|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**请查看我们另一个专门用于在电子书中自动添加 SML 的仓库 -> [E2A-SML](./tools/E2A-SML)**", + "zh-CN|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**在发布安装或错误问题之前,请仔细搜索打开和已关闭问题的标签页<br>", + "zh-CN|to be sure your issue does not exist already.**": "以确保您的问题尚不存在。**", + "zh-CN|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB 格式缺乏任何定义什么是章节、段落、前言等的标准结构。<br>", + "zh-CN|So you should first remove manually any text you don't want to be converted in audio.**": "因此,您应该首先手动删除任何不想转换为音频的文本。**", + "zh-CN|**Install / Run ebook2audiobook**:": "**安装 / 运行 ebook2audiobook**:", + "zh-CN|**Mac Launcher** ": "**Mac 启动器** ", + "zh-CN|Double click `Mac Ebook2Audiobook Launcher.command`": "双击 `Mac Ebook2Audiobook Launcher.command`", + "zh-CN|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windows 用户注意:将安装 scoop 以在没有管理员权限的情况下安装缺失的程序。</i>", + "zh-CN|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**打开 Web 应用**:点击终端中提供的 URL,以访问 Web 应用并转换电子书。 `http://localhost:7860/`", + "zh-CN|**For Public Link**:": "**获取公共链接**:", + "zh-CN|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**如果脚本被停止并再次运行,您需要刷新您的 Gradio GUI 界面<br>", + "zh-CN|to let the web page reconnect to the new connection socket.**": "以便网页能够重新连接到新的连接套接字。**", + "zh-CN|**[--ebook]**: Path to your eBook file": "**[--ebook]**:电子书文件的路径", + "zh-CN|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**:语音克隆文件路径(可选)", + "zh-CN|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**:ISO-639-3 格式的语言代码(即:意大利语为 ita,英语为 eng,德语为 deu...)。<br>", + "zh-CN|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "默认语言为 eng,对于 ./lib/lang.py 中设置的默认语言,--language 是可选的。<br>", + "zh-CN|The ISO-639-1 2 letters codes are also supported.": "也支持 2 个字母的 ISO-639-1 代码。", + "zh-CN|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**:`model_name.zip` 文件的路径,", + "zh-CN|which must contain (according to the tts engine) all the mandatory files<br>": "该文件必须(根据 tts 引擎)包含所有必需文件<br>", + "zh-CN|(see ./lib/models.py).": "(参见 ./lib/models.py)。", + "zh-CN|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "注意:在 gradio/gui 模式下,要取消正在进行的转换,只需点击电子书上传组件的 [X] 即可。", + "zh-CN|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "提示:如果需要稍长的停顿,请添加 '[pause:3]' 表示 3 秒等。", + "zh-CN|Common Docker Issues": "常见的 Docker 问题", + "zh-CN|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "未检测到我的 NVIDIA GPU?? -> [GPU 问题 Wiki 页面](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "zh-CN|Fine Tuned TTS models": "微调(fine-tuned)TTS 模型", + "zh-CN|Fine Tune your own XTTSv2 model": "微调您自己的 XTTSv2 模型", + "zh-CN|De-noise training data": "训练数据降噪", + "zh-CN|Fine Tuned TTS Collection": "微调 TTS 模型集合", + "zh-CN|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "对于自定义 XTTSv2 模型,必须提供语音的参考音频片段:", + "zh-CN|Your own Ebook2Audiobook customization": "您自己的 Ebook2Audiobook 自定义", + "zh-CN|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "您可以自由修改 libs/conf.py 以添加或删除您想要的设置。如果您打算这样做,只需制作", + "zh-CN|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "原始 conf.py 的副本,这样在每次更新 ebook2audiobook 时,您可以备份修改后的 conf.py 并恢复", + "zh-CN|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "原始文件。您必须为 models.py 计划相同的流程。如果您想将自己的自定义模型", + "zh-CN|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "变成官方微调的 ebook2audiobook 模型,请联系我们,我们会将其添加到预设列表中。", + "zh-CN|Common Issues:": "常见问题:", + "zh-CN|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "未检测到我的 NVIDIA/ROCm/XPU/MPS GPU?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "zh-CN|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU 很慢(在服务器 SMP CPU 上更好),而 GPU 可以实现接近实时的转换。", + "zh-CN|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(不过它没有 zero-shot 语音克隆,是 Siri 质量的语音,但在 cpu 上快得多)。", + "zh-CN|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "“我遇到依赖项问题” - 只需使用 docker,它完全独立并具有 headless 模式,", + "zh-CN|add `--help` parameter at the end of the docker run command for more information.": "在 docker run 命令末尾添加 `--help` 参数以获取更多信息。", + "zh-CN|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "“我遇到音频被截断的问题!” - 请就此创建一个 ISSUE,", + "zh-CN|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "我们不会说每种语言,需要用户的建议来微调句子拆分逻辑。😊", + "zh-CN|***** ROADMAP *****": "***** 路线图 *****", + "zh-CN|All Features open to public Contributions ⭐": "所有功能均向公众贡献开放 ⭐", + "zh-CN|Any help from people speaking any of the supported languages to help us improve the models ⭐": "来自任何说支持语言的人的任何帮助,以帮助我们改进模型 ⭐", + "zh-CN|Preview Blocks/Chapters before to start the conversion": "在开始转换之前预览块/章节", + "zh-CN|Edit by sentence converted for surgical text change": "按转换后的句子进行编辑,以进行精准的文本更改", + "zh-CN|SML tags integration for voice, pause, break, and more changes ": "用于语音、停顿、中断及更多更改的 SML 标签集成 ", + "zh-CN|-h -help parameter info in different languages": "不同语言的 -h -help 参数信息", + "zh-CN|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "针对 PDF / JPG / BMP / PNG / TIFF 的 OCR 扫描", + "zh-CN|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks 文件夹 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "zh-CN|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "使中文文本拆分不拆分单词并改善停顿时间 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "zh-CN|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[制作 iOS 应用](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "zh-CN|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[制作 android 应用](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "zh-CN|Audiobookshelf integration": "Audiobookshelf 集成", + "zh-CN|Extra Options": "额外选项", + "zh-CN|Ebook Translation option": "电子书翻译选项", + "zh-CN|Output format choices": "输出格式选择", + "zh-CN|Batch ebook folder": "批量电子书文件夹", + "zh-CN|Multiprocessing conversion": "多进程转换", + "zh-CN|Batch ebook folder conversion": "批量电子书文件夹转换", + "zh-CN|GPU Device detection": "GPU 设备检测", + "zh-CN|Denoise any reference audio for upload voice cloning,": "为上传的语音克隆对任何参考音频进行降噪,", + "zh-CN|Custom model upload (XTTSv2 only for now. more on request)": "自定义模型上传(目前仅 XTTSv2。更多应需求提供)", + "zh-CN|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "至少为 xttsv2、fairseq、vits、piper 添加欧洲葡萄牙语语言模型(欢迎帮助)", + "zh-CN|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "至少为 xttsv2、fairseq、vits、piper 添加信德语语言模型(欢迎帮助)", + "zh-CN|Readme Translation": "Readme 翻译", + "zh-CN|🐍 OS Compatibility": "🐍 操作系统兼容性", + "zh-CN|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "用于训练模型等的额外杀手锏(所有支持的 Coqui-tts 模型和 piper-tts 通过一条简单命令) ", + "zh-CN|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "有关此信息 @DrewThomasson,他目前正在进行其开发,[正在进行中的仓库在此处](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "zh-CN|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "为 ljspeech 格式训练配方中的所有 coqui-tts 模型创建一个易于使用的训练 gui [此处来自 coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "zh-CN|Python Code normalization information for contributors": "面向贡献者的 Python 代码规范化信息", + "zh-CN|no blank line between code, unless between functions and classes.": "代码之间没有空行,函数和类之间除外。", + "zh-CN|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "除 dict() 和 json 外,所有键均使用单引号。dict['key'] 始终用单引号调用", + "zh-CN|4 spaces indentation, not tab at all": "4 个空格缩进,完全不使用制表符", + "zh-CN|strict typing for all functions and its arguments declaration and return values": "对所有函数及其参数和返回值声明进行严格类型标注", + "zh-CN|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "参数与其类型标注之间无空格,函数、“->”和返回值之间无空格", + "zh-CN|Example:": "示例:", + "zh-CN|Hardware donation for beta tests wanted": "征求用于测试版测试的硬件捐赠", + "zh-CN|We accept any kind of hardware to test our development like:": "我们接受任何类型的硬件来测试我们的开发,例如:", + "zh-CN|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson 如果您想以任何方式提供帮助! 😃", + "zh-CN|Do you need to rent a GPU to boost service from us?": "您需要租用 GPU 来增强我们的服务吗?", + "zh-CN|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "此处已开放投票 https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "zh-CN|Special Thanks": "特别鸣谢", + "zh-CN|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 提供了更好的章节保存方法](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "zh-CN|TTS engines": "TTS引擎", + "zh-CN|XTTSv2": "XTTSv2", + "zh-CN|Bark": "巴克", + "zh-CN|Fairseq": "公平交易", + "zh-CN|VITS": "VITS", + "zh-CN|Tacotron2": "Tacotron2", + "zh-CN|YourTTS": "YourTTS", + "zh-CN|Tortoise": "陸龜", + "zh-CN|GlowTTS": "GlowTTS", + "zh-CN|Piper": "胡椒属", + "zh-CN|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "zh-CN|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "zh-CN|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "zh-CN|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "zh-CN|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "zh-CN|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "zh-CN|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "zh-CN|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "zh-CN|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "zh-CN|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "zh-CN|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "zh-CN|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "zh-CN|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "zh-CN|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "zh-CN|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "样式-TTS2 (https://github.com/yl4579/StyleTTS2)", + "zh-CN|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "zh-CN|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "zh-CN|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "zh-CN|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "es|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Conversor CPU/GPU de libro electrónico a audiolibro con capítulos y metadatos<br/>", + "es|using advanced TTS engines and much more.<br/>": "usando motores TTS avanzados y mucho más.<br/>", + "es|Supports voice cloning and 1158 languages!": "¡Admite clonación de voz y 1158 idiomas!", + "es|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Esta herramienta está destinada a usarse únicamente con libros electrónicos sin DRM y adquiridos legalmente.** <br>", + "es|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Los autores no se hacen responsables de ningún uso indebido de este software ni de las consecuencias legales que de ello se deriven. <br>", + "es|Use this tool responsibly and in accordance with all applicable laws.": "Utiliza esta herramienta de forma responsable y conforme a todas las leyes aplicables.", + "es|Thanks to support ebook2audiobook developers!": "¡Gracias por apoyar a los desarrolladores de ebook2audiobook!", + "es|Run locally": "Ejecución local", + "es|Run Remotely": "Ejecución remota", + "es|GUI Interface": "Interfaz gráfica (GUI)", + "es|<summary>Click to see images of Web GUI</summary>": "<summary>Haz clic para ver imágenes de la GUI web</summary>", + "es|**New Default Voice Demo** ": "**Demo de la nueva voz por defecto** ", + "es|<summary>More Demos</summary>": "<summary>Más demos</summary>", + "es|**ASMR Voice** ": "**Voz ASMR** ", + "es|**Rainy Day Voice** ": "**Voz de día lluvioso** ", + "es|**Scarlett Voice**": "**Voz Scarlett**", + "es|**David Attenborough Voice** ": "**Voz David Attenborough** ", + "es|**Example**": "**Ejemplo**", + "es|Table of Contents": "Tabla de contenidos", + "es|[Features](#features)": "[Características](#features)", + "es|[GUI Interface](#gui-interface)": "[Interfaz gráfica](#gui-interface)", + "es|[Supported Languages](#supported-languages)": "[Idiomas admitidos](#supported-languages)", + "es|[Minimum Requirements](#hardware-requirements)": "[Requisitos mínimos](#hardware-requirements)", + "es|[Usage](#instructions)": "[Uso](#instructions)", + "es|[Run Locally](#instructions)": "[Ejecución local](#instructions)", + "es|[Launching Gradio Web Interface](#instructions)": "[Lanzar la interfaz web de Gradio](#instructions)", + "es|[Basic Headless Usage](#basic-usage)": "[Uso básico sin interfaz (headless)](#basic-usage)", + "es|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Uso de modelo XTTS personalizado sin interfaz](#example-of-custom-model-zip-upload)", + "es|[Help command output](#help-command-output)": "[Salida del comando de ayuda](#help-command-output)", + "es|[Run Remotely](#run-remotely)": "[Ejecución remota](#run-remotely)", + "es|[Steps to Run](#docker)": "[Pasos para ejecutar](#docker)", + "es|[Common Docker Issues](#common-docker-issues)": "[Problemas habituales con Docker](#common-docker-issues)", + "es|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Modelos TTS ajustados](#fine-tuned-tts-models)", + "es|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Colección de modelos TTS ajustados](#fine-tuned-tts-collection)", + "es|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Entrenar XTTSv2](#fine-tune-your-own-xttsv2-model)", + "es|[Supported eBook Formats](#supported-ebook-formats)": "[Formatos de libro electrónico admitidos](#supported-ebook-formats)", + "es|[Output Formats](#output-and-process-formats)": "[Formatos de salida](#output-and-process-formats)", + "es|[Revert to older Version](#reverting-to-older-versions)": "[Volver a una versión anterior](#reverting-to-older-versions)", + "es|[Common Issues](#common-issues)": "[Problemas habituales](#common-issues)", + "es|[Special Thanks](#special-thanks)": "[Agradecimientos especiales](#special-thanks)", + "es|[Table of Contents](#table-of-contents)": "[Tabla de contenidos](#table-of-contents)", + "es|Features": "Características", + "es|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Motores TTS admitidos**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "es|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Convertir múltiples formatos de archivo**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "es|💻 **TextArea** to convert directly a short text in audio": "💻 **Área de texto** para convertir directamente un texto corto en audio", + "es|🔍 **OCR scanning** for files with text pages as images": "🔍 **Escaneo OCR** para archivos con páginas de texto en forma de imágenes", + "es|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Texto a voz de alta calidad**, desde casi en tiempo real hasta una voz casi real", + "es|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Clonación de voz opcional** usando tu propio archivo de voz", + "es|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Admite 1158 idiomas** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "es|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Apto para recursos limitados** — funciona con **2 GB de RAM / 1 GB de VRAM (mínimo)**", + "es|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Formatos de salida del audiolibro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "es|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Etiquetas SML admitidas** — control preciso de cortes, pausas, cambio de voz y mucho más ([see below](#sml-tags-available))", + "es|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Modelo personalizado opcional** usando tu propio modelo entrenado (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "es|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Modelos preajustados y ajustados** entrenados por el equipo de E2A<br/>", + "es|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Contáctanos si necesitas modelos ajustados adicionales, o si quieres compartir los tuyos en la lista oficial de preajustes)</i>", + "es|Hardware Requirements": "Requisitos de hardware", + "es|2GB RAM min, 8GB recommended.": "2 GB de RAM mín., 8 GB recomendados.", + "es|1GB VRAM min, 4GB recommended.": "1 GB de VRAM mín., 4 GB recomendados.", + "es|Virtualization enabled if running on windows (Docker only).": "Virtualización habilitada si se ejecuta en Windows (solo Docker).", + "es|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "es|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Los motores TTS modernos son muy lentos en CPU, así que usa TTS de menor calidad como YourTTS, Tacotron2, etc.</i>", + "es|Supported Languages": "Idiomas admitidos", + "es|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 idiomas y dialectos aquí**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "es|Supported eBook Formats": "Formatos de libro electrónico admitidos", + "es|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Mejores resultados**: `.epub` o `.mobi` para la detección automática de capítulos", + "es|Output and process Formats": "Formatos de salida y de proceso", + "es|Process format can be changed in lib/conf.py": "El formato de proceso se puede cambiar en lib/conf.py", + "es|SML tags available": "Etiquetas SML disponibles", + "es|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — silencio (rango aleatorio **0.3–0.6 sec.**)", + "es|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — silencio (rango aleatorio **1.0–1.6 sec.**)", + "es|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pausa fija (**N sec.**)", + "es|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — cambiar de voz respecto a la voz por defecto o seleccionada desde la GUI/CLI", + "es|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Consulta nuestro otro repositorio dedicado a añadir SML automáticamente en tu libro electrónico -> [E2A-SML](./tools/E2A-SML)**", + "es|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Antes de publicar un problema de instalación o un error, busca cuidadosamente en la pestaña de problemas abiertos y cerrados<br>", + "es|to be sure your issue does not exist already.**": "para asegurarte de que tu problema no exista ya.**", + "es|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**El formato EPUB carece de cualquier estructura estándar que defina qué es un capítulo, un párrafo, un prefacio, etc.<br>", + "es|So you should first remove manually any text you don't want to be converted in audio.**": "Por tanto, primero deberías eliminar manualmente cualquier texto que no quieras convertir en audio.**", + "es|**Install / Run ebook2audiobook**:": "**Instalar / Ejecutar ebook2audiobook**:", + "es|**Mac Launcher** ": "**Lanzador de Mac** ", + "es|Double click `Mac Ebook2Audiobook Launcher.command`": "Haz doble clic en `Mac Ebook2Audiobook Launcher.command`", + "es|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Nota para usuarios de Windows: se instala scoop para instalar los programas que falten sin privilegios de administrador.</i>", + "es|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Abrir la aplicación web**: Haz clic en la URL proporcionada en el terminal para acceder a la aplicación web y convertir libros electrónicos. `http://localhost:7860/`", + "es|**For Public Link**:": "**Para un enlace público**:", + "es|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Si el script se detiene y se vuelve a ejecutar, debes actualizar tu interfaz gráfica de Gradio<br>", + "es|to let the web page reconnect to the new connection socket.**": "para que la página web vuelva a conectarse al nuevo socket de conexión.**", + "es|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Ruta a tu archivo de libro electrónico", + "es|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Ruta del archivo de clonación de voz (opcional)", + "es|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Código de idioma en ISO-639-3 (p. ej.: ita para italiano, eng para inglés, deu para alemán...).<br>", + "es|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "El idioma por defecto es eng y --language es opcional para el idioma por defecto definido en ./lib/lang.py.<br>", + "es|The ISO-639-1 2 letters codes are also supported.": "También se admiten los códigos ISO-639-1 de 2 letras.", + "es|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Ruta al archivo `model_name.zip`,", + "es|which must contain (according to the tts engine) all the mandatory files<br>": "que debe contener (según el motor TTS) todos los archivos obligatorios<br>", + "es|(see ./lib/models.py).": "(consulta ./lib/models.py).", + "es|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOTA: en modo gradio/gui, para cancelar una conversión en curso, simplemente haz clic en la [X] del componente de subida del libro electrónico.", + "es|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "CONSEJO: si necesita algo más de pausa, añade '[pause:3]' para 3 seg., etc.", + "es|Common Docker Issues": "Problemas habituales con Docker", + "es|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "¿Mi GPU NVIDIA no se detecta?? -> [Página wiki de PROBLEMAS DE GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "es|Fine Tuned TTS models": "Modelos TTS ajustados (fine-tuned)", + "es|Fine Tune your own XTTSv2 model": "Ajusta tu propio modelo XTTSv2", + "es|De-noise training data": "Eliminar ruido de los datos de entrenamiento", + "es|Fine Tuned TTS Collection": "Colección de modelos TTS ajustados", + "es|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Para un modelo personalizado XTTSv2 es obligatorio un clip de audio de referencia de la voz:", + "es|Your own Ebook2Audiobook customization": "Tu propia personalización de Ebook2Audiobook", + "es|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Eres libre de modificar libs/conf.py para añadir o eliminar los ajustes que desees. Si piensas hacerlo, simplemente haz", + "es|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "una copia del conf.py original para que en cada actualización de ebook2audiobook puedas respaldar tu conf.py modificado y volver a poner", + "es|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "el original. Debes planificar el mismo proceso para models.py. Si deseas convertir tu propio modelo personalizado", + "es|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "en un modelo ajustado oficial de ebook2audiobook, contáctanos y lo añadiremos a la lista de preajustes.", + "es|Common Issues:": "Problemas habituales:", + "es|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "¿Mi GPU NVIDIA/ROCm/XPU/MPS no se detecta?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "es|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "La CPU es lenta (mejor en una CPU SMP de servidor) mientras que la GPU puede lograr una conversión casi en tiempo real.", + "es|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Sin embargo, no tiene clonación de voz zero-shot, y las voces son de calidad Siri, pero es mucho más rápido en CPU).", + "es|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "«Tengo problemas de dependencias» - Simplemente usa Docker, es totalmente autónomo y tiene un modo headless,", + "es|add `--help` parameter at the end of the docker run command for more information.": "añade el parámetro `--help` al final del comando docker run para más información.", + "es|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "«¡Tengo un problema de audio truncado!» - POR FAVOR, ABRE UN ISSUE SOBRE ESTO,", + "es|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "no hablamos todos los idiomas y necesitamos el consejo de los usuarios para ajustar la lógica de división de frases.😊", + "es|***** ROADMAP *****": "***** HOJA DE RUTA *****", + "es|All Features open to public Contributions ⭐": "Todas las características abiertas a contribuciones públicas ⭐", + "es|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Cualquier ayuda de personas que hablen alguno de los idiomas admitidos para ayudarnos a mejorar los modelos ⭐", + "es|Preview Blocks/Chapters before to start the conversion": "Previsualizar bloques/capítulos antes de iniciar la conversión", + "es|Edit by sentence converted for surgical text change": "Edición por frase convertida para un cambio quirúrgico del texto", + "es|SML tags integration for voice, pause, break, and more changes ": "Integración de etiquetas SML para voz, pausa, corte y más cambios ", + "es|-h -help parameter info in different languages": "Información de los parámetros -h -help en distintos idiomas", + "es|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Escaneo OCR para PDF / JPG / BMP / PNG / TIFF", + "es|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Carpeta de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "es|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Hacer que la división de texto en chino no parta las palabras y mejorar la sincronización de las pausas [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "es|Kaggle Notebook": "Notebook de Kaggle", + "es|Google Colab Notebook": "Notebook de Google Colab", + "es|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Crear una app para iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "es|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Crear una app para Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "es|Audiobookshelf integration": "Integración con Audiobookshelf", + "es|Extra Options": "Opciones adicionales", + "es|Ebook Translation option": "Opción de traducción del libro electrónico", + "es|Output format choices": "Opciones de formato de salida", + "es|Batch ebook folder": "Carpeta de libros electrónicos por lotes", + "es|Multiprocessing conversion": "Conversión con multiprocesamiento", + "es|Batch ebook folder conversion": "Conversión por lotes de una carpeta de libros electrónicos", + "es|GPU Device detection": "Detección del dispositivo GPU", + "es|Denoise any reference audio for upload voice cloning,": "Eliminar ruido de cualquier audio de referencia para clonación de voz subida,", + "es|Custom model upload (XTTSv2 only for now. more on request)": "Subida de modelo personalizado (solo XTTSv2 por ahora. más bajo petición)", + "es|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Añadir un modelo de idioma portugués europeo para xttsv2, fairseq, vits, piper como mínimo (ayuda bienvenida)", + "es|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Añadir un modelo de idioma sindhi para xttsv2, fairseq, vits, piper como mínimo (ayuda bienvenida)", + "es|Readme Translation": "Traducción del Readme", + "es|🐍 OS Compatibility": "🐍 Compatibilidad de sistemas operativos", + "es|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra exagerado para entrenar modelos y demás (todos los modelos Coqui-tts admitidos y piper-tts en un solo comando fácil) ", + "es|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Para información sobre esto @DrewThomasson, actualmente está trabajando en su desarrollo, [repositorio en desarrollo aquí](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "es|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Crear una GUI de entrenamiento fácil de usar para todos los modelos coqui-tts en las recetas de entrenamiento con formato ljspeech [aquí de coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "es|Python Code normalization information for contributors": "Información de normalización del código Python para colaboradores", + "es|no blank line between code, unless between functions and classes.": "sin línea en blanco entre el código, salvo entre funciones y clases.", + "es|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "comilla simple usada para todas las claves salvo para dict() y json. dict['key'] siempre se llama con comilla simple", + "es|4 spaces indentation, not tab at all": "indentación de 4 espacios, nada de tabulaciones", + "es|strict typing for all functions and its arguments declaration and return values": "tipado estricto para todas las funciones y la declaración de sus argumentos y valores de retorno", + "es|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "sin espacio entre el argumento y su tipado, sin espacio entre la función, el «->» y el valor de retorno", + "es|Example:": "Ejemplo:", + "es|Hardware donation for beta tests wanted": "Se busca donación de hardware para pruebas beta", + "es|We accept any kind of hardware to test our development like:": "Aceptamos cualquier tipo de hardware para probar nuestro desarrollo, como:", + "es|@DrewThomasson if you want to help out at all! 😃": "¡@DrewThomasson si quieres ayudar en lo que sea! 😃", + "es|Do you need to rent a GPU to boost service from us?": "¿Necesitas alquilar una GPU para potenciar nuestro servicio?", + "es|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Hay una encuesta abierta aquí https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "es|Special Thanks": "Agradecimientos especiales", + "es|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 por un mejor método de guardado de capítulos](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "es|TTS engines": "Motores TTS", + "es|XTTSv2": "XTTSv2", + "es|Bark": "Corteza", + "es|Fairseq": "Fairseq", + "es|VITS": "JAASKELAINEN", + "es|Tacotron2": "Tacotron2", + "es|YourTTS": "YourTTS", + "es|Tortoise": "Tortuga", + "es|GlowTTS": "GlowTTS", + "es|Piper": "Piper", + "es|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "es|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "es|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "es|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "es|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "es|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "es|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "es|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "es|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "es|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "es|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "es|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "es|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "es|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "es|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Estilo-TTS2 (https://github.com/yl4579/StyleTTS2)", + "es|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "es|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "es|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "es|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "fr|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Convertisseur CPU/GPU d'e-book en livre audio avec chapitres et métadonnées<br/>", + "fr|using advanced TTS engines and much more.<br/>": "utilisant des moteurs TTS avancés et bien plus encore.<br/>", + "fr|Supports voice cloning and 1158 languages!": "Prend en charge le clonage de voix et 1158 langues !", + "fr|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Cet outil est destiné à être utilisé uniquement avec des e-books sans DRM, acquis légalement.** <br>", + "fr|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Les auteurs ne sont pas responsables d'une quelconque utilisation abusive de ce logiciel ni des conséquences juridiques qui en découleraient. <br>", + "fr|Use this tool responsibly and in accordance with all applicable laws.": "Utilisez cet outil de manière responsable et dans le respect de toutes les lois applicables.", + "fr|Thanks to support ebook2audiobook developers!": "Merci de soutenir les développeurs d'ebook2audiobook !", + "fr|Run locally": "Exécution locale", + "fr|Run Remotely": "Exécution à distance", + "fr|GUI Interface": "Interface graphique (GUI)", + "fr|<summary>Click to see images of Web GUI</summary>": "<summary>Cliquez pour voir les images de l'interface web</summary>", + "fr|Demos": "Démos", + "fr|**New Default Voice Demo** ": "**Démo de la nouvelle voix par défaut** ", + "fr|<summary>More Demos</summary>": "<summary>Plus de démos</summary>", + "fr|**ASMR Voice** ": "**Voix ASMR** ", + "fr|**Rainy Day Voice** ": "**Voix jour de pluie** ", + "fr|**Scarlett Voice**": "**Voix Scarlett**", + "fr|**David Attenborough Voice** ": "**Voix David Attenborough** ", + "fr|**Example**": "**Exemple**", + "fr|Table of Contents": "Table des matières", + "fr|[Features](#features)": "[Fonctionnalités](#features)", + "fr|[GUI Interface](#gui-interface)": "[Interface graphique](#gui-interface)", + "fr|[Demos](#demos)": "[Démos](#demos)", + "fr|[Supported Languages](#supported-languages)": "[Langues prises en charge](#supported-languages)", + "fr|[Minimum Requirements](#hardware-requirements)": "[Configuration minimale requise](#hardware-requirements)", + "fr|[Usage](#instructions)": "[Utilisation](#instructions)", + "fr|[Run Locally](#instructions)": "[Exécution locale](#instructions)", + "fr|[Launching Gradio Web Interface](#instructions)": "[Lancement de l'interface web Gradio](#instructions)", + "fr|[Basic Headless Usage](#basic-usage)": "[Utilisation de base en mode headless](#basic-usage)", + "fr|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Utilisation d'un modèle XTTS personnalisé en mode headless](#example-of-custom-model-zip-upload)", + "fr|[Help command output](#help-command-output)": "[Sortie de la commande d'aide](#help-command-output)", + "fr|[Run Remotely](#run-remotely)": "[Exécution à distance](#run-remotely)", + "fr|[Steps to Run](#docker)": "[Étapes d'exécution](#docker)", + "fr|[Common Docker Issues](#common-docker-issues)": "[Problèmes Docker courants](#common-docker-issues)", + "fr|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Modèles TTS affinés](#fine-tuned-tts-models)", + "fr|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Collection de modèles TTS affinés](#fine-tuned-tts-collection)", + "fr|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Entraîner XTTSv2](#fine-tune-your-own-xttsv2-model)", + "fr|[Supported eBook Formats](#supported-ebook-formats)": "[Formats d'e-book pris en charge](#supported-ebook-formats)", + "fr|[Output Formats](#output-and-process-formats)": "[Formats de sortie](#output-and-process-formats)", + "fr|[Revert to older Version](#reverting-to-older-versions)": "[Revenir à une version antérieure](#reverting-to-older-versions)", + "fr|[Common Issues](#common-issues)": "[Problèmes courants](#common-issues)", + "fr|[Special Thanks](#special-thanks)": "[Remerciements particuliers](#special-thanks)", + "fr|[Table of Contents](#table-of-contents)": "[Table des matières](#table-of-contents)", + "fr|Features": "Fonctionnalités", + "fr|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Moteurs TTS pris en charge** : `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "fr|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Convertir plusieurs formats de fichier** : `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "fr|💻 **TextArea** to convert directly a short text in audio": "💻 **Zone de texte** pour convertir directement un texte court en audio", + "fr|🔍 **OCR scanning** for files with text pages as images": "🔍 **Reconnaissance OCR** pour les fichiers dont les pages de texte sont des images", + "fr|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Synthèse vocale de haute qualité**, du quasi temps réel à une voix quasi naturelle", + "fr|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Clonage de voix optionnel** à l'aide de votre propre fichier vocal", + "fr|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Prend en charge 1158 langues** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "fr|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Adapté aux ressources limitées** — fonctionne avec **2 Go de RAM / 1 Go de VRAM (minimum)**", + "fr|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Formats de sortie du livre audio** : mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "fr|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Balises SML prises en charge** — contrôle fin des coupures, pauses, changements de voix et plus encore ([see below](#sml-tags-available))", + "fr|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Modèle personnalisé optionnel** utilisant votre propre modèle entraîné (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "fr|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Modèles préréglés affinés** entraînés par l'équipe E2A<br/>", + "fr|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Contactez-nous si vous avez besoin de modèles affinés supplémentaires, ou si vous souhaitez partager les vôtres dans la liste officielle des préréglages)</i>", + "fr|Hardware Requirements": "Configuration matérielle requise", + "fr|2GB RAM min, 8GB recommended.": "2 Go de RAM min., 8 Go recommandés.", + "fr|1GB VRAM min, 4GB recommended.": "1 Go de VRAM min., 4 Go recommandés.", + "fr|Virtualization enabled if running on windows (Docker only).": "Virtualisation activée si l'exécution se fait sous Windows (Docker uniquement).", + "fr|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "fr|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Les moteurs TTS modernes sont très lents sur CPU, utilisez donc des TTS de moindre qualité comme YourTTS, Tacotron2, etc.</i>", + "fr|Supported Languages": "Langues prises en charge", + "fr|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 langues et dialectes ici**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "fr|Supported eBook Formats": "Formats d'e-book pris en charge", + "fr|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Meilleurs résultats** : `.epub` ou `.mobi` pour la détection automatique des chapitres", + "fr|Output and process Formats": "Formats de sortie et de traitement", + "fr|Process format can be changed in lib/conf.py": "Le format de traitement peut être modifié dans lib/conf.py", + "fr|SML tags available": "Balises SML disponibles", + "fr|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — silence (plage aléatoire **0.3–0.6 sec.**)", + "fr|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — silence (plage aléatoire **1.0–1.6 sec.**)", + "fr|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pause fixe (**N sec.**)", + "fr|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — changer de voix par rapport à la voix par défaut ou sélectionnée depuis l'interface graphique/CLI", + "fr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Consultez notre autre dépôt dédié à l'ajout automatique de SML dans votre e-book -> [E2A-SML](./tools/E2A-SML)**", + "fr|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Avant de publier un problème d'installation ou un bug, recherchez attentivement dans l'onglet des problèmes ouverts et fermés<br>", + "fr|to be sure your issue does not exist already.**": "pour être sûr que votre problème n'existe pas déjà.**", + "fr|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Le format EPUB ne possède aucune structure standard définissant ce qu'est un chapitre, un paragraphe, une préface, etc.<br>", + "fr|So you should first remove manually any text you don't want to be converted in audio.**": "Vous devez donc d'abord supprimer manuellement tout texte que vous ne souhaitez pas convertir en audio.**", + "fr|**Install / Run ebook2audiobook**:": "**Installer / Exécuter ebook2audiobook** :", + "fr|**Mac Launcher** ": "**Lanceur Mac** ", + "fr|Double click `Mac Ebook2Audiobook Launcher.command`": "Double-cliquez sur `Mac Ebook2Audiobook Launcher.command`", + "fr|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Note pour les utilisateurs Windows : scoop est installé afin d'installer les programmes manquants sans privilèges administrateur.</i>", + "fr|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Ouvrir l'application web** : Cliquez sur l'URL fournie dans le terminal pour accéder à l'application web et convertir les e-books. `http://localhost:7860/`", + "fr|**For Public Link**:": "**Pour un lien public** :", + "fr|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Si le script est arrêté puis relancé, vous devez actualiser votre interface graphique Gradio<br>", + "fr|to let the web page reconnect to the new connection socket.**": "pour permettre à la page web de se reconnecter au nouveau socket de connexion.**", + "fr|**[--ebook]**: Path to your eBook file": "**[--ebook]** : Chemin vers votre fichier e-book", + "fr|**[--voice]**: Voice cloning file path (optional)": "**[--voice]** : Chemin du fichier de clonage de voix (optionnel)", + "fr|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]** : Code de langue au format ISO-639-3 (ex. : ita pour l'italien, eng pour l'anglais, deu pour l'allemand...).<br>", + "fr|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "La langue par défaut est eng et --language est optionnel pour la langue par défaut définie dans ./lib/lang.py.<br>", + "fr|The ISO-639-1 2 letters codes are also supported.": "Les codes ISO-639-1 à 2 lettres sont également pris en charge.", + "fr|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>** : Chemin vers le fichier `model_name.zip`,", + "fr|which must contain (according to the tts engine) all the mandatory files<br>": "qui doit contenir (selon le moteur TTS) tous les fichiers obligatoires<br>", + "fr|(see ./lib/models.py).": "(voir ./lib/models.py).", + "fr|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOTE : en mode gradio/gui, pour annuler une conversion en cours, cliquez simplement sur le [X] du composant d'envoi d'e-book.", + "fr|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "ASTUCE : s'il faut un peu plus de pause, ajoutez '[pause:3]' pour 3 sec., etc.", + "fr|Common Docker Issues": "Problèmes Docker courants", + "fr|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Mon GPU NVIDIA n'est pas détecté ?? -> [Page wiki PROBLÈMES GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "fr|Fine Tuned TTS models": "Modèles TTS affinés (fine-tuned)", + "fr|Fine Tune your own XTTSv2 model": "Affinez votre propre modèle XTTSv2", + "fr|De-noise training data": "Débruiter les données d'entraînement", + "fr|Fine Tuned TTS Collection": "Collection de modèles TTS affinés", + "fr|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Pour un modèle personnalisé XTTSv2, un extrait audio de référence de la voix est obligatoire :", + "fr|Your own Ebook2Audiobook customization": "Votre propre personnalisation d'Ebook2Audiobook", + "fr|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Vous êtes libre de modifier libs/conf.py pour ajouter ou supprimer les réglages souhaités. Si vous prévoyez de le faire, faites simplement", + "fr|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "une copie du conf.py d'origine afin qu'à chaque mise à jour d'ebook2audiobook vous puissiez sauvegarder votre conf.py modifié et remettre", + "fr|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "l'original. Vous devez prévoir le même processus pour models.py. Si vous souhaitez faire de votre propre modèle personnalisé", + "fr|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "un modèle affiné officiel d'ebook2audiobook, contactez-nous et nous l'ajouterons à la liste des préréglages.", + "fr|Common Issues:": "Problèmes courants :", + "fr|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Mon GPU NVIDIA/ROCm/XPU/MPS n'est pas détecté ?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "fr|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "Le CPU est lent (meilleur sur un CPU SMP de serveur) tandis que le GPU permet une conversion quasi en temps réel.", + "fr|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Il n'a cependant pas de clonage de voix zero-shot, et les voix sont de qualité Siri, mais c'est bien plus rapide sur CPU).", + "fr|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "« J'ai des problèmes de dépendances » - Utilisez simplement Docker, il est entièrement autonome et dispose d'un mode headless,", + "fr|add `--help` parameter at the end of the docker run command for more information.": "ajoutez le paramètre `--help` à la fin de la commande docker run pour plus d'informations.", + "fr|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "« J'ai un problème d'audio tronqué ! » - VEUILLEZ OUVRIR UN ISSUE À CE SUJET,", + "fr|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "nous ne parlons pas toutes les langues et avons besoin des conseils des utilisateurs pour affiner la logique de découpage des phrases.😊", + "fr|***** ROADMAP *****": "***** FEUILLE DE ROUTE *****", + "fr|All Features open to public Contributions ⭐": "Toutes les fonctionnalités ouvertes aux contributions publiques ⭐", + "fr|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Toute aide de personnes parlant l'une des langues prises en charge pour nous aider à améliorer les modèles ⭐", + "fr|Preview Blocks/Chapters before to start the conversion": "Prévisualiser les blocs/chapitres avant de démarrer la conversion", + "fr|Edit by sentence converted for surgical text change": "Édition par phrase convertie pour une modification chirurgicale du texte", + "fr|SML tags integration for voice, pause, break, and more changes ": "Intégration des balises SML pour la voix, la pause, la coupure et d'autres changements ", + "fr|-h -help parameter info in different languages": "Infos des paramètres -h -help dans différentes langues", + "fr|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Reconnaissance OCR pour PDF / JPG / BMP / PNG / TIFF", + "fr|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Dossier de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "fr|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Faire en sorte que le découpage du texte chinois ne coupe pas les mots et améliorer le timing des pauses [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "fr|Kaggle Notebook": "Notebook Kaggle", + "fr|Google Colab Notebook": "Notebook Google Colab", + "fr|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Créer une application iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "fr|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Créer une application Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "fr|Audiobookshelf integration": "Intégration Audiobookshelf", + "fr|Extra Options": "Options supplémentaires", + "fr|Ebook Translation option": "Option de traduction de l'e-book", + "fr|Output format choices": "Choix du format de sortie", + "fr|Batch ebook folder": "Traitement par lot d'un dossier d'e-books", + "fr|Multiprocessing conversion": "Conversion en multitraitement", + "fr|Batch ebook folder conversion": "Conversion par lot d'un dossier d'e-books", + "fr|GPU Device detection": "Détection du périphérique GPU", + "fr|Denoise any reference audio for upload voice cloning,": "Débruiter n'importe quel audio de référence pour le clonage de voix envoyé,", + "fr|Custom model upload (XTTSv2 only for now. more on request)": "Envoi de modèle personnalisé (XTTSv2 uniquement pour l'instant. plus sur demande)", + "fr|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ajouter un modèle de langue portugais européen pour xttsv2, fairseq, vits, piper au minimum (aide bienvenue)", + "fr|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ajouter un modèle de langue sindhi pour xttsv2, fairseq, vits, piper au minimum (aide bienvenue)", + "fr|Readme Translation": "Traduction du Readme", + "fr|🐍 OS Compatibility": "🐍 Compatibilité des systèmes d'exploitation", + "fr|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Bonus ultime pour l'entraînement de modèles et plus encore (tous les modèles Coqui-tts pris en charge et piper-tts en une seule commande facile) ", + "fr|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Pour plus d'infos à ce sujet, @DrewThomasson travaille actuellement à son développement, [dépôt en cours de développement ici](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "fr|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Créer une interface d'entraînement facile à utiliser pour tous les modèles coqui-tts au format ljspeech [recettes d'entraînement de coqui tts ici](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "fr|Python Code normalization information for contributors": "Informations de normalisation du code Python pour les contributeurs", + "fr|no blank line between code, unless between functions and classes.": "pas de ligne vide entre le code, sauf entre les fonctions et les classes.", + "fr|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "guillemet simple utilisé pour toutes les clés sauf pour dict() et json. dict['key'] toujours appelé avec un guillemet simple", + "fr|4 spaces indentation, not tab at all": "indentation de 4 espaces, pas de tabulation du tout", + "fr|strict typing for all functions and its arguments declaration and return values": "typage strict pour toutes les fonctions ainsi que la déclaration de leurs arguments et valeurs de retour", + "fr|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "pas d'espace entre l'argument et son typage, pas d'espace entre la fonction, le « -> » et la valeur de retour", + "fr|Example:": "Exemple :", + "fr|Hardware donation for beta tests wanted": "Don de matériel pour les tests bêta recherché", + "fr|We accept any kind of hardware to test our development like:": "Nous acceptons tout type de matériel pour tester notre développement, comme :", + "fr|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson si vous voulez aider de quelque manière que ce soit ! 😃", + "fr|Do you need to rent a GPU to boost service from us?": "Avez-vous besoin de louer un GPU pour booster notre service ?", + "fr|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Un sondage est ouvert ici https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "fr|Special Thanks": "Remerciements particuliers", + "fr|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 pour une meilleure méthode de sauvegarde des chapitres](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "fr|TTS engines": "Moteurs TTS", + "fr|XTTSv2": "XTTSv2", + "fr|Bark": "Écorce", + "fr|Fairseq": "Fairseq", + "fr|VITS": "VITS", + "fr|Tacotron2": "Tacotron2", + "fr|YourTTS": "YourTTS", + "fr|Tortoise": "Tortue terrestre", + "fr|GlowTTS": "GlowTTS", + "fr|Piper": "Piper", + "fr|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "fr|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "fr|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "fr|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "fr|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "fr|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "fr|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "fr|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "fr|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "fr|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "fr|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "fr|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "fr|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "fr|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "fr|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "fr|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "fr|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "fr|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "fr|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "de|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU-Konverter von E-Book zu Hörbuch mit Kapiteln und Metadaten<br/>", + "de|using advanced TTS engines and much more.<br/>": "unter Verwendung fortschrittlicher TTS-Engines und vielem mehr.<br/>", + "de|Supports voice cloning and 1158 languages!": "Unterstützt Stimmenklonen und 1158 Sprachen!", + "de|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Dieses Tool ist ausschließlich für die Verwendung mit DRM-freien, legal erworbenen E-Books bestimmt.** <br>", + "de|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Die Autoren übernehmen keine Verantwortung für jeglichen Missbrauch dieser Software oder daraus resultierende rechtliche Folgen. <br>", + "de|Use this tool responsibly and in accordance with all applicable laws.": "Verwenden Sie dieses Tool verantwortungsvoll und in Übereinstimmung mit allen geltenden Gesetzen.", + "de|Thanks to support ebook2audiobook developers!": "Danke, dass Sie die Entwickler von ebook2audiobook unterstützen!", + "de|Run locally": "Lokal ausführen", + "de|Run Remotely": "Remote ausführen", + "de|GUI Interface": "GUI-Oberfläche", + "de|<summary>Click to see images of Web GUI</summary>": "<summary>Zum Anzeigen von Bildern der Web-GUI klicken</summary>", + "de|**New Default Voice Demo** ": "**Demo der neuen Standardstimme** ", + "de|<summary>More Demos</summary>": "<summary>Weitere Demos</summary>", + "de|**ASMR Voice** ": "**ASMR-Stimme** ", + "de|**Rainy Day Voice** ": "**Regentag-Stimme** ", + "de|**Scarlett Voice**": "**Scarlett-Stimme**", + "de|**David Attenborough Voice** ": "**David-Attenborough-Stimme** ", + "de|**Example**": "**Beispiel**", + "de|Table of Contents": "Inhaltsverzeichnis", + "de|[Features](#features)": "[Funktionen](#features)", + "de|[GUI Interface](#gui-interface)": "[GUI-Oberfläche](#gui-interface)", + "de|[Supported Languages](#supported-languages)": "[Unterstützte Sprachen](#supported-languages)", + "de|[Minimum Requirements](#hardware-requirements)": "[Mindestanforderungen](#hardware-requirements)", + "de|[Usage](#instructions)": "[Verwendung](#instructions)", + "de|[Run Locally](#instructions)": "[Lokal ausführen](#instructions)", + "de|[Launching Gradio Web Interface](#instructions)": "[Gradio-Web-Oberfläche starten](#instructions)", + "de|[Basic Headless Usage](#basic-usage)": "[Grundlegende Headless-Verwendung](#basic-usage)", + "de|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless-Verwendung eines benutzerdefinierten XTTS-Modells](#example-of-custom-model-zip-upload)", + "de|[Help command output](#help-command-output)": "[Ausgabe des Hilfebefehls](#help-command-output)", + "de|[Run Remotely](#run-remotely)": "[Remote ausführen](#run-remotely)", + "de|[Steps to Run](#docker)": "[Schritte zur Ausführung](#docker)", + "de|[Common Docker Issues](#common-docker-issues)": "[Häufige Docker-Probleme](#common-docker-issues)", + "de|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Feinabgestimmte TTS-Modelle](#fine-tuned-tts-models)", + "de|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Sammlung feinabgestimmter TTS-Modelle](#fine-tuned-tts-collection)", + "de|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 trainieren](#fine-tune-your-own-xttsv2-model)", + "de|[Supported eBook Formats](#supported-ebook-formats)": "[Unterstützte E-Book-Formate](#supported-ebook-formats)", + "de|[Output Formats](#output-and-process-formats)": "[Ausgabeformate](#output-and-process-formats)", + "de|[Revert to older Version](#reverting-to-older-versions)": "[Zu einer älteren Version zurückkehren](#reverting-to-older-versions)", + "de|[Common Issues](#common-issues)": "[Häufige Probleme](#common-issues)", + "de|[Special Thanks](#special-thanks)": "[Besonderer Dank](#special-thanks)", + "de|[Table of Contents](#table-of-contents)": "[Inhaltsverzeichnis](#table-of-contents)", + "de|Features": "Funktionen", + "de|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Unterstützte TTS-Engines**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "de|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Mehrere Dateiformate konvertieren**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "de|💻 **TextArea** to convert directly a short text in audio": "💻 **Textbereich** zum direkten Umwandeln eines kurzen Texts in Audio", + "de|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR-Erkennung** für Dateien mit Textseiten als Bilder", + "de|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Hochwertige Sprachausgabe**, von nahezu Echtzeit bis zu nahezu echter Stimme", + "de|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Optionales Stimmenklonen** mit Ihrer eigenen Sprachdatei", + "de|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Unterstützt 1158 Sprachen** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "de|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Ressourcenschonend** — läuft mit **2 GB RAM / 1 GB VRAM (Minimum)**", + "de|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Hörbuch-Ausgabeformate**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "de|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML-Tags unterstützt** — feingranulare Steuerung von Unterbrechungen, Pausen, Stimmwechsel und mehr ([see below](#sml-tags-available))", + "de|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Optionales benutzerdefiniertes Modell** mit Ihrem eigenen trainierten Modell (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "de|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Feinabgestimmte Preset-Modelle**, trainiert vom E2A-Team<br/>", + "de|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kontaktieren Sie uns, wenn Sie zusätzliche feinabgestimmte Modelle benötigen oder Ihre eigenen zur offiziellen Preset-Liste beitragen möchten)</i>", + "de|Hardware Requirements": "Hardware-Anforderungen", + "de|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB empfohlen.", + "de|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB empfohlen.", + "de|Virtualization enabled if running on windows (Docker only).": "Virtualisierung aktiviert, falls unter Windows ausgeführt (nur Docker).", + "de|MPS (Apple Silicon CPU)": "MPS (Apple-Silicon-CPU)", + "de|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderne TTS-Engines sind auf der CPU sehr langsam, verwenden Sie daher TTS geringerer Qualität wie YourTTS, Tacotron2 usw.</i>", + "de|Supported Languages": "Unterstützte Sprachen", + "de|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 Sprachen und Dialekte hier**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "de|Supported eBook Formats": "Unterstützte E-Book-Formate", + "de|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Beste Ergebnisse**: `.epub` oder `.mobi` für die automatische Kapitelerkennung", + "de|Output and process Formats": "Ausgabe- und Verarbeitungsformate", + "de|Process format can be changed in lib/conf.py": "Das Verarbeitungsformat kann in lib/conf.py geändert werden", + "de|SML tags available": "Verfügbare SML-Tags", + "de|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — Stille (zufälliger Bereich **0.3–0.6 sec.**)", + "de|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — Stille (zufälliger Bereich **1.0–1.6 sec.**)", + "de|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — feste Pause (**N sec.**)", + "de|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — Stimme von der Standard- oder in der GUI/CLI ausgewählten Stimme wechseln", + "de|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Sehen Sie sich unser anderes Repo an, das dem automatischen Hinzufügen von SML in Ihrem E-Book gewidmet ist -> [E2A-SML](./tools/E2A-SML)**", + "de|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Bevor Sie ein Installations- oder Fehlerproblem melden, durchsuchen Sie sorgfältig den Tab mit offenen und geschlossenen Issues<br>", + "de|to be sure your issue does not exist already.**": "um sicherzustellen, dass Ihr Problem nicht bereits existiert.**", + "de|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Dem EPUB-Format fehlt jegliche Standardstruktur, die festlegt, was ein Kapitel, ein Absatz, ein Vorwort usw. ist.<br>", + "de|So you should first remove manually any text you don't want to be converted in audio.**": "Daher sollten Sie zunächst manuell jeglichen Text entfernen, den Sie nicht in Audio umwandeln möchten.**", + "de|**Install / Run ebook2audiobook**:": "**ebook2audiobook installieren / ausführen**:", + "de|**Mac Launcher** ": "**Mac-Launcher** ", + "de|Double click `Mac Ebook2Audiobook Launcher.command`": "Doppelklicken Sie auf `Mac Ebook2Audiobook Launcher.command`", + "de|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Hinweis für Windows-Nutzer: scoop wird installiert, um fehlende Programme ohne Administratorrechte zu installieren.</i>", + "de|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Web-App öffnen**: Klicken Sie auf die im Terminal angegebene URL, um auf die Web-App zuzugreifen und E-Books zu konvertieren. `http://localhost:7860/`", + "de|**For Public Link**:": "**Für einen öffentlichen Link**:", + "de|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Wenn das Skript gestoppt und erneut ausgeführt wird, müssen Sie Ihre Gradio-GUI-Oberfläche aktualisieren<br>", + "de|to let the web page reconnect to the new connection socket.**": "damit sich die Webseite mit dem neuen Verbindungs-Socket verbinden kann.**", + "de|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Pfad zu Ihrer E-Book-Datei", + "de|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Pfad zur Datei für das Stimmenklonen (optional)", + "de|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Sprachcode in ISO-639-3 (d. h.: ita für Italienisch, eng für Englisch, deu für Deutsch...).<br>", + "de|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Die Standardsprache ist eng und --language ist optional für die in ./lib/lang.py festgelegte Standardsprache.<br>", + "de|The ISO-639-1 2 letters codes are also supported.": "Die zweistelligen ISO-639-1-Codes werden ebenfalls unterstützt.", + "de|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Pfad zur Datei `model_name.zip`,", + "de|which must contain (according to the tts engine) all the mandatory files<br>": "die (je nach TTS-Engine) alle erforderlichen Dateien enthalten muss<br>", + "de|(see ./lib/models.py).": "(siehe ./lib/models.py).", + "de|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "HINWEIS: Um im gradio/gui-Modus eine laufende Konvertierung abzubrechen, klicken Sie einfach auf das [X] der E-Book-Upload-Komponente.", + "de|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIPP: Wenn etwas mehr Pause nötig ist, fügen Sie '[pause:3]' für 3 Sek. usw. hinzu.", + "de|Common Docker Issues": "Häufige Docker-Probleme", + "de|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Meine NVIDIA-GPU wird nicht erkannt?? -> [Wiki-Seite zu GPU-PROBLEMEN](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "de|Fine Tuned TTS models": "Feinabgestimmte (fine-tuned) TTS-Modelle", + "de|Fine Tune your own XTTSv2 model": "Stimmen Sie Ihr eigenes XTTSv2-Modell fein ab", + "de|De-noise training data": "Trainingsdaten entrauschen", + "de|Fine Tuned TTS Collection": "Sammlung feinabgestimmter TTS-Modelle", + "de|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Für ein benutzerdefiniertes XTTSv2-Modell ist ein Referenz-Audioclip der Stimme zwingend erforderlich:", + "de|Your own Ebook2Audiobook customization": "Ihre eigene Ebook2Audiobook-Anpassung", + "de|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Es steht Ihnen frei, libs/conf.py zu ändern, um die gewünschten Einstellungen hinzuzufügen oder zu entfernen. Falls Sie dies vorhaben, erstellen Sie einfach", + "de|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "eine Kopie der ursprünglichen conf.py, damit Sie bei jedem ebook2audiobook-Update Ihre geänderte conf.py sichern und", + "de|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "die Originaldatei wiederherstellen können. Sie müssen denselben Vorgang für models.py einplanen. Wenn Sie Ihr eigenes benutzerdefiniertes Modell", + "de|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "zu einem offiziellen, feinabgestimmten ebook2audiobook-Modell machen möchten, kontaktieren Sie uns bitte, und wir fügen es der Preset-Liste hinzu.", + "de|Common Issues:": "Häufige Probleme:", + "de|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Meine NVIDIA-/ROCm-/XPU-/MPS-GPU wird nicht erkannt?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "de|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "Die CPU ist langsam (besser auf einer Server-SMP-CPU), während die GPU eine nahezu Echtzeit-Konvertierung erreichen kann.", + "de|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Es hat allerdings kein Zero-Shot-Stimmenklonen und bietet Stimmen in Siri-Qualität, ist aber auf der CPU deutlich schneller).", + "de|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Ich habe Abhängigkeitsprobleme“ - Verwenden Sie einfach Docker, es ist vollständig eigenständig und hat einen Headless-Modus,", + "de|add `--help` parameter at the end of the docker run command for more information.": "fügen Sie für weitere Informationen den Parameter `--help` am Ende des docker-run-Befehls hinzu.", + "de|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Ich habe ein Problem mit abgeschnittenem Audio!“ - BITTE ERSTELLEN SIE DAZU EIN ISSUE,", + "de|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "wir sprechen nicht jede Sprache und benötigen den Rat der Nutzer, um die Logik der Satztrennung zu verfeinern.😊", + "de|All Features open to public Contributions ⭐": "Alle Funktionen offen für öffentliche Beiträge ⭐", + "de|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Jede Hilfe von Personen, die eine der unterstützten Sprachen sprechen, um uns bei der Verbesserung der Modelle zu helfen ⭐", + "de|Preview Blocks/Chapters before to start the conversion": "Blöcke/Kapitel vor dem Start der Konvertierung in der Vorschau anzeigen", + "de|Edit by sentence converted for surgical text change": "Bearbeitung nach konvertiertem Satz für chirurgisch genaue Textänderungen", + "de|SML tags integration for voice, pause, break, and more changes ": "SML-Tag-Integration für Stimme, Pause, Unterbrechung und weitere Änderungen ", + "de|-h -help parameter info in different languages": "Informationen zu den Parametern -h -help in verschiedenen Sprachen", + "de|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR-Erkennung für PDF / JPG / BMP / PNG / TIFF", + "de|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks-Ordner [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "de|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Die chinesische Textaufteilung so gestalten, dass keine Wörter getrennt werden, und das Pausen-Timing verbessern [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "de|Kaggle Notebook": "Kaggle-Notebook", + "de|Google Colab Notebook": "Google-Colab-Notebook", + "de|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Eine iOS-App erstellen](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "de|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Eine Android-App erstellen](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "de|Audiobookshelf integration": "Audiobookshelf-Integration", + "de|Extra Options": "Zusätzliche Optionen", + "de|Ebook Translation option": "Option zur E-Book-Übersetzung", + "de|Output format choices": "Auswahl des Ausgabeformats", + "de|Batch ebook folder": "Stapelverarbeitung eines E-Book-Ordners", + "de|Multiprocessing conversion": "Konvertierung mit Multiprocessing", + "de|Batch ebook folder conversion": "Stapelkonvertierung eines E-Book-Ordners", + "de|GPU Device detection": "GPU-Geräteerkennung", + "de|Denoise any reference audio for upload voice cloning,": "Beliebiges Referenz-Audio für das Stimmenklonen beim Upload entrauschen,", + "de|Custom model upload (XTTSv2 only for now. more on request)": "Upload eines benutzerdefinierten Modells (vorerst nur XTTSv2. mehr auf Anfrage)", + "de|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ein europäisch-portugiesisches Sprachmodell für mindestens xttsv2, fairseq, vits, piper hinzufügen (Hilfe willkommen)", + "de|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ein Sindhi-Sprachmodell für mindestens xttsv2, fairseq, vits, piper hinzufügen (Hilfe willkommen)", + "de|Readme Translation": "Readme-Übersetzung", + "de|🐍 OS Compatibility": "🐍 Betriebssystem-Kompatibilität", + "de|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra-Overkill für das Trainieren von Modellen und Ähnliches (alle unterstützten Coqui-tts-Modelle und piper-tts in einem einzigen einfachen Befehl) ", + "de|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Für Informationen dazu: @DrewThomasson arbeitet derzeit an der Entwicklung, [Work-in-Progress-Repo hier](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "de|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Eine einfach zu bedienende Trainings-GUI für alle coqui-tts-Modelle im ljspeech-Format erstellen [Trainingsrezepte hier von coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "de|Python Code normalization information for contributors": "Informationen zur Python-Code-Normalisierung für Mitwirkende", + "de|no blank line between code, unless between functions and classes.": "keine Leerzeile zwischen dem Code, außer zwischen Funktionen und Klassen.", + "de|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "einfaches Anführungszeichen für alle Schlüssel, außer bei dict() und json. dict['key'] wird immer mit einfachem Anführungszeichen aufgerufen", + "de|4 spaces indentation, not tab at all": "4 Leerzeichen Einrückung, überhaupt kein Tab", + "de|strict typing for all functions and its arguments declaration and return values": "strikte Typisierung für alle Funktionen sowie die Deklaration ihrer Argumente und Rückgabewerte", + "de|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "kein Leerzeichen zwischen dem Argument und seiner Typisierung, kein Leerzeichen zwischen der Funktion, dem „->“ und dem Rückgabewert", + "de|Example:": "Beispiel:", + "de|Hardware donation for beta tests wanted": "Hardware-Spende für Beta-Tests gesucht", + "de|We accept any kind of hardware to test our development like:": "Wir nehmen jede Art von Hardware an, um unsere Entwicklung zu testen, wie zum Beispiel:", + "de|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson, falls Sie auf irgendeine Weise mithelfen möchten! 😃", + "de|Do you need to rent a GPU to boost service from us?": "Müssen Sie eine GPU mieten, um unseren Service zu beschleunigen?", + "de|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Eine Umfrage ist hier offen https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "de|Special Thanks": "Besonderer Dank", + "de|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 für eine bessere Methode zum Speichern von Kapiteln](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "de|TTS engines": "TTS-Motoren", + "de|XTTSv2": "XTTSv2", + "de|Bark": "Rinde", + "de|Fairseq": "Fairseq", + "de|VITS": "VITS", + "de|Tacotron2": "Tacotron2", + "de|YourTTS": "YourTTS", + "de|Tortoise": "Türkis", + "de|GlowTTS": "GlowTTS", + "de|Piper": "Pfeffer", + "de|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "de|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "de|fish-speech (https://github.com/fishaudio/fish-speech)": "fischsprache (https://github.com/fishaudio/fish-speech)", + "de|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "de|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "de|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "de|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "de|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "de|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "de|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "de|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "de|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "de|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "de|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "de|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "de|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "de|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "de|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "de|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "it|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Convertitore CPU/GPU da e-book ad audiolibro con capitoli e metadati<br/>", + "it|using advanced TTS engines and much more.<br/>": "utilizzando motori TTS avanzati e molto altro.<br/>", + "it|Supports voice cloning and 1158 languages!": "Supporta la clonazione vocale e 1158 lingue!", + "it|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Questo strumento è destinato all'uso esclusivamente con e-book privi di DRM e acquisiti legalmente.** <br>", + "it|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Gli autori non sono responsabili di alcun uso improprio di questo software né di eventuali conseguenze legali. <br>", + "it|Use this tool responsibly and in accordance with all applicable laws.": "Utilizza questo strumento in modo responsabile e nel rispetto di tutte le leggi vigenti.", + "it|Thanks to support ebook2audiobook developers!": "Grazie per il supporto agli sviluppatori di ebook2audiobook!", + "it|Run locally": "Esecuzione locale", + "it|Run Remotely": "Esecuzione da remoto", + "it|GUI Interface": "Interfaccia grafica (GUI)", + "it|<summary>Click to see images of Web GUI</summary>": "<summary>Clicca per vedere le immagini della GUI web</summary>", + "it|Demos": "Demo", + "it|**New Default Voice Demo** ": "**Demo della nuova voce predefinita** ", + "it|<summary>More Demos</summary>": "<summary>Altre demo</summary>", + "it|**ASMR Voice** ": "**Voce ASMR** ", + "it|**Rainy Day Voice** ": "**Voce giorno di pioggia** ", + "it|**Scarlett Voice**": "**Voce Scarlett**", + "it|**David Attenborough Voice** ": "**Voce David Attenborough** ", + "it|**Example**": "**Esempio**", + "it|Table of Contents": "Indice", + "it|[Features](#features)": "[Funzionalità](#features)", + "it|[GUI Interface](#gui-interface)": "[Interfaccia grafica](#gui-interface)", + "it|[Demos](#demos)": "[Demo](#demos)", + "it|[Supported Languages](#supported-languages)": "[Lingue supportate](#supported-languages)", + "it|[Minimum Requirements](#hardware-requirements)": "[Requisiti minimi](#hardware-requirements)", + "it|[Usage](#instructions)": "[Utilizzo](#instructions)", + "it|[Run Locally](#instructions)": "[Esecuzione locale](#instructions)", + "it|[Launching Gradio Web Interface](#instructions)": "[Avvio dell'interfaccia web Gradio](#instructions)", + "it|[Basic Headless Usage](#basic-usage)": "[Utilizzo di base in modalità headless](#basic-usage)", + "it|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Utilizzo di un modello XTTS personalizzato in modalità headless](#example-of-custom-model-zip-upload)", + "it|[Help command output](#help-command-output)": "[Output del comando di aiuto](#help-command-output)", + "it|[Run Remotely](#run-remotely)": "[Esecuzione da remoto](#run-remotely)", + "it|[Steps to Run](#docker)": "[Passaggi per l'esecuzione](#docker)", + "it|[Common Docker Issues](#common-docker-issues)": "[Problemi comuni con Docker](#common-docker-issues)", + "it|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Modelli TTS ottimizzati](#fine-tuned-tts-models)", + "it|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Collezione di modelli TTS ottimizzati](#fine-tuned-tts-collection)", + "it|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Addestrare XTTSv2](#fine-tune-your-own-xttsv2-model)", + "it|[Supported eBook Formats](#supported-ebook-formats)": "[Formati di e-book supportati](#supported-ebook-formats)", + "it|[Output Formats](#output-and-process-formats)": "[Formati di output](#output-and-process-formats)", + "it|[Revert to older Version](#reverting-to-older-versions)": "[Tornare a una versione precedente](#reverting-to-older-versions)", + "it|[Common Issues](#common-issues)": "[Problemi comuni](#common-issues)", + "it|[Special Thanks](#special-thanks)": "[Ringraziamenti speciali](#special-thanks)", + "it|[Table of Contents](#table-of-contents)": "[Indice](#table-of-contents)", + "it|Features": "Funzionalità", + "it|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Motori TTS supportati**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "it|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Convertire più formati di file**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "it|💻 **TextArea** to convert directly a short text in audio": "💻 **Area di testo** per convertire direttamente un breve testo in audio", + "it|🔍 **OCR scanning** for files with text pages as images": "🔍 **Scansione OCR** per file con pagine di testo sotto forma di immagini", + "it|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Sintesi vocale di alta qualità**, dal quasi tempo reale a una voce quasi reale", + "it|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Clonazione vocale opzionale** utilizzando il tuo file vocale", + "it|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Supporta 1158 lingue** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "it|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Adatto a risorse limitate** — funziona con **2 GB di RAM / 1 GB di VRAM (minimo)**", + "it|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Formati di output dell'audiolibro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "it|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Tag SML supportati** — controllo granulare di interruzioni, pause, cambio voce e altro ([see below](#sml-tags-available))", + "it|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Modello personalizzato opzionale** utilizzando il tuo modello addestrato (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "it|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Modelli preset ottimizzati** addestrati dal team E2A<br/>", + "it|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Contattaci se hai bisogno di modelli ottimizzati aggiuntivi, o se desideri condividere i tuoi nell'elenco ufficiale dei preset)</i>", + "it|Hardware Requirements": "Requisiti hardware", + "it|2GB RAM min, 8GB recommended.": "2 GB di RAM min., 8 GB consigliati.", + "it|1GB VRAM min, 4GB recommended.": "1 GB di VRAM min., 4 GB consigliati.", + "it|Virtualization enabled if running on windows (Docker only).": "Virtualizzazione abilitata se eseguito su Windows (solo Docker).", + "it|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "it|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> I moderni motori TTS sono molto lenti su CPU, quindi usa TTS di qualità inferiore come YourTTS, Tacotron2 ecc.</i>", + "it|Supported Languages": "Lingue supportate", + "it|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 lingue e dialetti qui**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "it|Supported eBook Formats": "Formati di e-book supportati", + "it|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Risultati migliori**: `.epub` o `.mobi` per il rilevamento automatico dei capitoli", + "it|Output and process Formats": "Formati di output e di elaborazione", + "it|Process format can be changed in lib/conf.py": "Il formato di elaborazione può essere modificato in lib/conf.py", + "it|SML tags available": "Tag SML disponibili", + "it|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — silenzio (intervallo casuale **0.3–0.6 sec.**)", + "it|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — silenzio (intervallo casuale **1.0–1.6 sec.**)", + "it|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pausa fissa (**N sec.**)", + "it|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — cambiare voce rispetto alla voce predefinita o selezionata da GUI/CLI", + "it|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Dai un'occhiata al nostro altro repo dedicato all'aggiunta automatica di SML nel tuo e-book -> [E2A-SML](./tools/E2A-SML)**", + "it|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Prima di pubblicare un problema di installazione o un bug, cerca attentamente nella scheda dei problemi aperti e chiusi<br>", + "it|to be sure your issue does not exist already.**": "per essere sicuro che il tuo problema non esista già.**", + "it|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Il formato EPUB è privo di qualsiasi struttura standard che definisca cosa sia un capitolo, un paragrafo, una prefazione, ecc.<br>", + "it|So you should first remove manually any text you don't want to be converted in audio.**": "Quindi dovresti prima rimuovere manualmente qualsiasi testo che non vuoi convertire in audio.**", + "it|**Install / Run ebook2audiobook**:": "**Installa / Esegui ebook2audiobook**:", + "it|**Mac Launcher** ": "**Launcher per Mac** ", + "it|Double click `Mac Ebook2Audiobook Launcher.command`": "Fai doppio clic su `Mac Ebook2Audiobook Launcher.command`", + "it|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Nota per gli utenti Windows: scoop viene installato per installare i programmi mancanti senza privilegi di amministratore.</i>", + "it|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Apri la Web App**: Clicca sull'URL fornito nel terminale per accedere alla web app e convertire gli e-book. `http://localhost:7860/`", + "it|**For Public Link**:": "**Per un link pubblico**:", + "it|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Se lo script viene interrotto e rieseguito, devi aggiornare la tua interfaccia grafica Gradio<br>", + "it|to let the web page reconnect to the new connection socket.**": "per consentire alla pagina web di riconnettersi al nuovo socket di connessione.**", + "it|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Percorso del tuo file e-book", + "it|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Percorso del file per la clonazione vocale (opzionale)", + "it|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Codice della lingua in ISO-639-3 (es.: ita per italiano, eng per inglese, deu per tedesco...).<br>", + "it|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "La lingua predefinita è eng e --language è opzionale per la lingua predefinita impostata in ./lib/lang.py.<br>", + "it|The ISO-639-1 2 letters codes are also supported.": "Sono supportati anche i codici ISO-639-1 a 2 lettere.", + "it|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Percorso del file `model_name.zip`,", + "it|which must contain (according to the tts engine) all the mandatory files<br>": "che deve contenere (a seconda del motore TTS) tutti i file obbligatori<br>", + "it|(see ./lib/models.py).": "(vedi ./lib/models.py).", + "it|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOTA: in modalità gradio/gui, per annullare una conversione in corso, basta cliccare sulla [X] del componente di caricamento dell'e-book.", + "it|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "SUGGERIMENTO: se serve qualche pausa in più, aggiungi '[pause:3]' per 3 sec., ecc.", + "it|Common Docker Issues": "Problemi comuni con Docker", + "it|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "La mia GPU NVIDIA non viene rilevata?? -> [Pagina wiki PROBLEMI GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "it|Fine Tuned TTS models": "Modelli TTS ottimizzati (fine-tuned)", + "it|Fine Tune your own XTTSv2 model": "Ottimizza il tuo modello XTTSv2", + "it|De-noise training data": "Rimuovere il rumore dai dati di addestramento", + "it|Fine Tuned TTS Collection": "Collezione di modelli TTS ottimizzati", + "it|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Per un modello personalizzato XTTSv2 è obbligatorio un clip audio di riferimento della voce:", + "it|Your own Ebook2Audiobook customization": "La tua personalizzazione di Ebook2Audiobook", + "it|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Sei libero di modificare libs/conf.py per aggiungere o rimuovere le impostazioni che desideri. Se intendi farlo, crea semplicemente", + "it|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "una copia del conf.py originale così che, a ogni aggiornamento di ebook2audiobook, tu possa salvare il tuo conf.py modificato e ripristinare", + "it|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "quello originale. Devi pianificare lo stesso processo per models.py. Se desideri rendere il tuo modello personalizzato", + "it|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "un modello ottimizzato ufficiale di ebook2audiobook, contattaci e lo aggiungeremo all'elenco dei preset.", + "it|Common Issues:": "Problemi comuni:", + "it|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "La mia GPU NVIDIA/ROCm/XPU/MPS non viene rilevata?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "it|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "La CPU è lenta (meglio su una CPU SMP da server) mentre la GPU può ottenere una conversione quasi in tempo reale.", + "it|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Non ha però la clonazione vocale zero-shot, e le voci sono di qualità Siri, ma è molto più veloce su CPU).", + "it|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "«Ho problemi di dipendenze» - Usa semplicemente Docker, è completamente autonomo e ha una modalità headless,", + "it|add `--help` parameter at the end of the docker run command for more information.": "aggiungi il parametro `--help` alla fine del comando docker run per maggiori informazioni.", + "it|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "«Ho un problema di audio troncato!» - PER FAVORE APRI UN ISSUE A RIGUARDO,", + "it|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "non parliamo tutte le lingue e abbiamo bisogno dei consigli degli utenti per perfezionare la logica di divisione delle frasi.😊", + "it|All Features open to public Contributions ⭐": "Tutte le funzionalità aperte ai contributi pubblici ⭐", + "it|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Qualsiasi aiuto da parte di persone che parlano una delle lingue supportate per aiutarci a migliorare i modelli ⭐", + "it|Preview Blocks/Chapters before to start the conversion": "Anteprima di blocchi/capitoli prima di avviare la conversione", + "it|Edit by sentence converted for surgical text change": "Modifica per frase convertita per un cambiamento chirurgico del testo", + "it|SML tags integration for voice, pause, break, and more changes ": "Integrazione dei tag SML per voce, pausa, interruzione e altre modifiche ", + "it|-h -help parameter info in different languages": "Informazioni sui parametri -h -help in diverse lingue", + "it|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Scansione OCR per PDF / JPG / BMP / PNG / TIFF", + "it|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Cartella dei notebook [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "it|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Fare in modo che la divisione del testo cinese non spezzi le parole e migliorare la sincronizzazione delle pause [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "it|Kaggle Notebook": "Notebook Kaggle", + "it|Google Colab Notebook": "Notebook Google Colab", + "it|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Creare un'app per iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "it|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Creare un'app per Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "it|Audiobookshelf integration": "Integrazione con Audiobookshelf", + "it|Extra Options": "Opzioni aggiuntive", + "it|Ebook Translation option": "Opzione di traduzione dell'e-book", + "it|Output format choices": "Scelte del formato di output", + "it|Batch ebook folder": "Cartella di e-book in batch", + "it|Multiprocessing conversion": "Conversione con multiprocessing", + "it|Batch ebook folder conversion": "Conversione in batch di una cartella di e-book", + "it|GPU Device detection": "Rilevamento del dispositivo GPU", + "it|Denoise any reference audio for upload voice cloning,": "Rimuovere il rumore da qualsiasi audio di riferimento per la clonazione vocale caricata,", + "it|Custom model upload (XTTSv2 only for now. more on request)": "Caricamento di modello personalizzato (solo XTTSv2 per ora. altri su richiesta)", + "it|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Aggiungere un modello linguistico portoghese europeo almeno per xttsv2, fairseq, vits, piper (aiuto benvenuto)", + "it|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Aggiungere un modello linguistico sindhi almeno per xttsv2, fairseq, vits, piper (aiuto benvenuto)", + "it|Readme Translation": "Traduzione del Readme", + "it|🐍 OS Compatibility": "🐍 Compatibilità con i sistemi operativi", + "it|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra esagerato per addestrare modelli e simili (tutti i modelli Coqui-tts supportati e piper-tts in un unico semplice comando) ", + "it|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Per informazioni a riguardo @DrewThomasson, attualmente sta lavorando al suo sviluppo, [repo work-in-progress qui](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "it|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Creare una GUI di addestramento facile da usare per tutti i modelli coqui-tts nelle ricette di addestramento in formato ljspeech [qui da coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "it|Python Code normalization information for contributors": "Informazioni sulla normalizzazione del codice Python per i contributori", + "it|no blank line between code, unless between functions and classes.": "nessuna riga vuota tra il codice, tranne tra funzioni e classi.", + "it|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "apice singolo usato per tutte le chiavi tranne che per dict() e json. dict['key'] sempre richiamato con apice singolo", + "it|4 spaces indentation, not tab at all": "indentazione di 4 spazi, nessuna tabulazione", + "it|strict typing for all functions and its arguments declaration and return values": "tipizzazione rigorosa per tutte le funzioni e per la dichiarazione dei loro argomenti e valori di ritorno", + "it|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "nessuno spazio tra l'argomento e la sua tipizzazione, nessuno spazio tra la funzione, il «->» e il valore di ritorno", + "it|Example:": "Esempio:", + "it|Hardware donation for beta tests wanted": "Cercasi donazione di hardware per i beta test", + "it|We accept any kind of hardware to test our development like:": "Accettiamo qualsiasi tipo di hardware per testare il nostro sviluppo, come:", + "it|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson se vuoi dare una mano in qualsiasi modo! 😃", + "it|Do you need to rent a GPU to boost service from us?": "Hai bisogno di noleggiare una GPU per potenziare il nostro servizio?", + "it|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "È aperto un sondaggio qui https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "it|Special Thanks": "Ringraziamenti speciali", + "it|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 per un metodo migliore di salvataggio dei capitoli](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "it|TTS engines": "Motori TTS", + "it|XTTSv2": "XTTSv2", + "it|Bark": "Corteccia", + "it|Fairseq": "Fairseq", + "it|VITS": "VITS", + "it|Tacotron2": "Tacotrone2", + "it|YourTTS": "YourTTS", + "it|Tortoise": "Testuggine", + "it|GlowTTS": "GlowTTS", + "it|Piper": "Piper", + "it|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "it|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "it|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "it|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "it|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "it|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "it|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "it|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "it|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "it|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "it|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "it|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "it|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "it|Zonos (https://github.com/Zyphra/Zonos)": "Zoni (https://github.com/Zyphra/Zonos)", + "it|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "it|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "it|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "it|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "it|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "pt|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Conversor CPU/GPU de e-book para audiolivro com capítulos e metadados<br/>", + "pt|using advanced TTS engines and much more.<br/>": "usando motores TTS avançados e muito mais.<br/>", + "pt|Supports voice cloning and 1158 languages!": "Suporta clonagem de voz e 1158 idiomas!", + "pt|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Esta ferramenta destina-se a ser usada apenas com e-books sem DRM e adquiridos legalmente.** <br>", + "pt|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Os autores não se responsabilizam por qualquer uso indevido deste software nem por quaisquer consequências legais decorrentes. <br>", + "pt|Use this tool responsibly and in accordance with all applicable laws.": "Use esta ferramenta de forma responsável e em conformidade com todas as leis aplicáveis.", + "pt|Thanks to support ebook2audiobook developers!": "Obrigado por apoiar os desenvolvedores do ebook2audiobook!", + "pt|Run locally": "Executar localmente", + "pt|Run Remotely": "Executar remotamente", + "pt|GUI Interface": "Interface gráfica (GUI)", + "pt|<summary>Click to see images of Web GUI</summary>": "<summary>Clique para ver imagens da GUI web</summary>", + "pt|**New Default Voice Demo** ": "**Demo da nova voz padrão** ", + "pt|<summary>More Demos</summary>": "<summary>Mais demos</summary>", + "pt|**ASMR Voice** ": "**Voz ASMR** ", + "pt|**Rainy Day Voice** ": "**Voz de dia chuvoso** ", + "pt|**Scarlett Voice**": "**Voz Scarlett**", + "pt|**David Attenborough Voice** ": "**Voz David Attenborough** ", + "pt|**Example**": "**Exemplo**", + "pt|Table of Contents": "Índice", + "pt|[Features](#features)": "[Recursos](#features)", + "pt|[GUI Interface](#gui-interface)": "[Interface gráfica](#gui-interface)", + "pt|[Supported Languages](#supported-languages)": "[Idiomas suportados](#supported-languages)", + "pt|[Minimum Requirements](#hardware-requirements)": "[Requisitos mínimos](#hardware-requirements)", + "pt|[Usage](#instructions)": "[Utilização](#instructions)", + "pt|[Run Locally](#instructions)": "[Executar localmente](#instructions)", + "pt|[Launching Gradio Web Interface](#instructions)": "[Iniciar a interface web Gradio](#instructions)", + "pt|[Basic Headless Usage](#basic-usage)": "[Utilização básica em modo headless](#basic-usage)", + "pt|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Utilização de modelo XTTS personalizado em modo headless](#example-of-custom-model-zip-upload)", + "pt|[Help command output](#help-command-output)": "[Saída do comando de ajuda](#help-command-output)", + "pt|[Run Remotely](#run-remotely)": "[Executar remotamente](#run-remotely)", + "pt|[Steps to Run](#docker)": "[Passos para executar](#docker)", + "pt|[Common Docker Issues](#common-docker-issues)": "[Problemas comuns com o Docker](#common-docker-issues)", + "pt|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Modelos TTS ajustados](#fine-tuned-tts-models)", + "pt|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Coleção de modelos TTS ajustados](#fine-tuned-tts-collection)", + "pt|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Treinar XTTSv2](#fine-tune-your-own-xttsv2-model)", + "pt|[Supported eBook Formats](#supported-ebook-formats)": "[Formatos de e-book suportados](#supported-ebook-formats)", + "pt|[Output Formats](#output-and-process-formats)": "[Formatos de saída](#output-and-process-formats)", + "pt|[Revert to older Version](#reverting-to-older-versions)": "[Reverter para uma versão anterior](#reverting-to-older-versions)", + "pt|[Common Issues](#common-issues)": "[Problemas comuns](#common-issues)", + "pt|[Special Thanks](#special-thanks)": "[Agradecimentos especiais](#special-thanks)", + "pt|[Table of Contents](#table-of-contents)": "[Índice](#table-of-contents)", + "pt|Features": "Recursos", + "pt|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Motores TTS suportados**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "pt|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Converter múltiplos formatos de ficheiro**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "pt|💻 **TextArea** to convert directly a short text in audio": "💻 **Área de texto** para converter diretamente um texto curto em áudio", + "pt|🔍 **OCR scanning** for files with text pages as images": "🔍 **Digitalização OCR** para ficheiros com páginas de texto em forma de imagens", + "pt|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Conversão de texto em fala de alta qualidade**, de quase tempo real a uma voz quase real", + "pt|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Clonagem de voz opcional** usando o seu próprio ficheiro de voz", + "pt|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Suporta 1158 idiomas** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "pt|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Adequado a recursos limitados** — funciona com **2 GB de RAM / 1 GB de VRAM (mínimo)**", + "pt|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Formatos de saída do audiolivro**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "pt|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Tags SML suportadas** — controlo granular de quebras, pausas, mudança de voz e muito mais ([see below](#sml-tags-available))", + "pt|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Modelo personalizado opcional** usando o seu próprio modelo treinado (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "pt|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Modelos de predefinição ajustados** treinados pela equipa E2A<br/>", + "pt|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Contacte-nos se precisar de modelos ajustados adicionais, ou se quiser partilhar os seus na lista oficial de predefinições)</i>", + "pt|Hardware Requirements": "Requisitos de hardware", + "pt|2GB RAM min, 8GB recommended.": "2 GB de RAM mín., 8 GB recomendado.", + "pt|1GB VRAM min, 4GB recommended.": "1 GB de VRAM mín., 4 GB recomendado.", + "pt|Virtualization enabled if running on windows (Docker only).": "Virtualização ativada se for executado no Windows (apenas Docker).", + "pt|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "pt|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Os motores TTS modernos são muito lentos na CPU, por isso use TTS de menor qualidade como YourTTS, Tacotron2, etc.</i>", + "pt|Supported Languages": "Idiomas suportados", + "pt|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 idiomas e dialetos aqui**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "pt|Supported eBook Formats": "Formatos de e-book suportados", + "pt|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Melhores resultados**: `.epub` ou `.mobi` para a deteção automática de capítulos", + "pt|Output and process Formats": "Formatos de saída e de processamento", + "pt|Process format can be changed in lib/conf.py": "O formato de processamento pode ser alterado em lib/conf.py", + "pt|SML tags available": "Tags SML disponíveis", + "pt|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — silêncio (intervalo aleatório **0.3–0.6 sec.**)", + "pt|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — silêncio (intervalo aleatório **1.0–1.6 sec.**)", + "pt|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pausa fixa (**N sec.**)", + "pt|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — mudar de voz a partir da voz padrão ou selecionada na GUI/CLI", + "pt|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Veja o nosso outro repositório dedicado a adicionar SML automaticamente no seu e-book -> [E2A-SML](./tools/E2A-SML)**", + "pt|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Antes de publicar um problema de instalação ou um bug, pesquise cuidadosamente no separador de problemas abertos e fechados<br>", + "pt|to be sure your issue does not exist already.**": "para ter a certeza de que o seu problema ainda não existe.**", + "pt|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**O formato EPUB não tem qualquer estrutura padrão que defina o que é um capítulo, um parágrafo, um prefácio, etc.<br>", + "pt|So you should first remove manually any text you don't want to be converted in audio.**": "Por isso, deve primeiro remover manualmente qualquer texto que não queira converter em áudio.**", + "pt|**Install / Run ebook2audiobook**:": "**Instalar / Executar o ebook2audiobook**:", + "pt|**Mac Launcher** ": "**Launcher para Mac** ", + "pt|Double click `Mac Ebook2Audiobook Launcher.command`": "Faça duplo clique em `Mac Ebook2Audiobook Launcher.command`", + "pt|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Nota para utilizadores de Windows: o scoop é instalado para instalar os programas em falta sem privilégios de administrador.</i>", + "pt|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Abrir a aplicação web**: Clique no URL fornecido no terminal para aceder à aplicação web e converter e-books. `http://localhost:7860/`", + "pt|**For Public Link**:": "**Para um link público**:", + "pt|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Se o script for parado e executado novamente, precisa de atualizar a sua interface gráfica Gradio<br>", + "pt|to let the web page reconnect to the new connection socket.**": "para permitir que a página web se volte a ligar ao novo socket de ligação.**", + "pt|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Caminho para o seu ficheiro de e-book", + "pt|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Caminho do ficheiro de clonagem de voz (opcional)", + "pt|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Código de idioma em ISO-639-3 (ex.: ita para italiano, eng para inglês, deu para alemão...).<br>", + "pt|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "O idioma padrão é eng e --language é opcional para o idioma padrão definido em ./lib/lang.py.<br>", + "pt|The ISO-639-1 2 letters codes are also supported.": "Os códigos ISO-639-1 de 2 letras também são suportados.", + "pt|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Caminho para o ficheiro `model_name.zip`,", + "pt|which must contain (according to the tts engine) all the mandatory files<br>": "que deve conter (consoante o motor TTS) todos os ficheiros obrigatórios<br>", + "pt|(see ./lib/models.py).": "(ver ./lib/models.py).", + "pt|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOTA: no modo gradio/gui, para cancelar uma conversão em curso, basta clicar no [X] do componente de envio do e-book.", + "pt|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "DICA: se precisar de mais alguma pausa, adicione '[pause:3]' para 3 seg., etc.", + "pt|Common Docker Issues": "Problemas comuns com o Docker", + "pt|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "A minha GPU NVIDIA não está a ser detetada?? -> [Página wiki de PROBLEMAS DE GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "pt|Fine Tuned TTS models": "Modelos TTS ajustados (fine-tuned)", + "pt|Fine Tune your own XTTSv2 model": "Ajuste o seu próprio modelo XTTSv2", + "pt|De-noise training data": "Remover ruído dos dados de treino", + "pt|Fine Tuned TTS Collection": "Coleção de modelos TTS ajustados", + "pt|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Para um modelo personalizado XTTSv2 é obrigatório um clipe de áudio de referência da voz:", + "pt|Your own Ebook2Audiobook customization": "A sua própria personalização do Ebook2Audiobook", + "pt|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "É livre de modificar o libs/conf.py para adicionar ou remover as definições que desejar. Se planeia fazê-lo, faça apenas", + "pt|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "uma cópia do conf.py original para que, em cada atualização do ebook2audiobook, possa guardar o seu conf.py modificado e repor", + "pt|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "o original. Deve planear o mesmo processo para o models.py. Se desejar tornar o seu próprio modelo personalizado", + "pt|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "num modelo ajustado oficial do ebook2audiobook, contacte-nos e iremos adicioná-lo à lista de predefinições.", + "pt|Common Issues:": "Problemas comuns:", + "pt|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "A minha GPU NVIDIA/ROCm/XPU/MPS não está a ser detetada?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "pt|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "A CPU é lenta (melhor numa CPU SMP de servidor) enquanto a GPU pode ter uma conversão quase em tempo real.", + "pt|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(No entanto, não tem clonagem de voz zero-shot, e as vozes são de qualidade Siri, mas é muito mais rápido na CPU).", + "pt|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "«Estou com problemas de dependências» - Use simplesmente o Docker, é totalmente autónomo e tem um modo headless,", + "pt|add `--help` parameter at the end of the docker run command for more information.": "adicione o parâmetro `--help` no final do comando docker run para mais informações.", + "pt|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "«Estou com um problema de áudio truncado!» - POR FAVOR, ABRA UM ISSUE SOBRE ISTO,", + "pt|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "não falamos todos os idiomas e precisamos do conselho dos utilizadores para afinar a lógica de divisão de frases.😊", + "pt|All Features open to public Contributions ⭐": "Todos os recursos abertos a contribuições públicas ⭐", + "pt|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Qualquer ajuda de pessoas que falem algum dos idiomas suportados para nos ajudar a melhorar os modelos ⭐", + "pt|Preview Blocks/Chapters before to start the conversion": "Pré-visualizar blocos/capítulos antes de iniciar a conversão", + "pt|Edit by sentence converted for surgical text change": "Edição por frase convertida para uma alteração cirúrgica do texto", + "pt|SML tags integration for voice, pause, break, and more changes ": "Integração de tags SML para voz, pausa, quebra e mais alterações ", + "pt|-h -help parameter info in different languages": "Informação dos parâmetros -h -help em diferentes idiomas", + "pt|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Digitalização OCR para PDF / JPG / BMP / PNG / TIFF", + "pt|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Pasta de notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "pt|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Fazer com que a divisão de texto em chinês não separe palavras e melhorar a sincronização das pausas [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "pt|Kaggle Notebook": "Notebook Kaggle", + "pt|Google Colab Notebook": "Notebook Google Colab", + "pt|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Criar uma app para iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "pt|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Criar uma app para Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "pt|Audiobookshelf integration": "Integração com o Audiobookshelf", + "pt|Extra Options": "Opções extra", + "pt|Ebook Translation option": "Opção de tradução do e-book", + "pt|Output format choices": "Escolhas do formato de saída", + "pt|Batch ebook folder": "Pasta de e-books em lote", + "pt|Multiprocessing conversion": "Conversão com multiprocessamento", + "pt|Batch ebook folder conversion": "Conversão em lote de uma pasta de e-books", + "pt|GPU Device detection": "Deteção do dispositivo GPU", + "pt|Denoise any reference audio for upload voice cloning,": "Remover ruído de qualquer áudio de referência para clonagem de voz enviada,", + "pt|Custom model upload (XTTSv2 only for now. more on request)": "Envio de modelo personalizado (apenas XTTSv2 por agora. mais sob pedido)", + "pt|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Adicionar um modelo de idioma português europeu para xttsv2, fairseq, vits, piper pelo menos (ajuda bem-vinda)", + "pt|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Adicionar um modelo de idioma sindi para xttsv2, fairseq, vits, piper pelo menos (ajuda bem-vinda)", + "pt|Readme Translation": "Tradução do Readme", + "pt|🐍 OS Compatibility": "🐍 Compatibilidade de sistemas operativos", + "pt|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra exagerado para treinar modelos e afins (todos os modelos Coqui-tts suportados e o piper-tts num único comando simples) ", + "pt|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Para informações sobre isto, @DrewThomasson está atualmente a trabalhar no seu desenvolvimento, [repositório em desenvolvimento aqui](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "pt|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Criar uma GUI de treino fácil de usar para todos os modelos coqui-tts nas receitas de treino em formato ljspeech [aqui do coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "pt|Python Code normalization information for contributors": "Informações de normalização do código Python para colaboradores", + "pt|no blank line between code, unless between functions and classes.": "sem linha em branco entre o código, exceto entre funções e classes.", + "pt|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "aspa simples usada para todas as chaves exceto para dict() e json. dict['key'] sempre invocado com aspa simples", + "pt|4 spaces indentation, not tab at all": "indentação de 4 espaços, nada de tabulações", + "pt|strict typing for all functions and its arguments declaration and return values": "tipagem estrita para todas as funções e para a declaração dos seus argumentos e valores de retorno", + "pt|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "sem espaço entre o argumento e a sua tipagem, sem espaço entre a função, o «->» e o valor de retorno", + "pt|Example:": "Exemplo:", + "pt|Hardware donation for beta tests wanted": "Procura-se doação de hardware para testes beta", + "pt|We accept any kind of hardware to test our development like:": "Aceitamos qualquer tipo de hardware para testar o nosso desenvolvimento, como:", + "pt|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson se quiser ajudar de alguma forma! 😃", + "pt|Do you need to rent a GPU to boost service from us?": "Precisa de alugar uma GPU para potenciar o nosso serviço?", + "pt|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Está aberta uma sondagem aqui https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "pt|Special Thanks": "Agradecimentos especiais", + "pt|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 por um melhor método de guardar capítulos](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "pt|TTS engines": "Motores TTS", + "pt|XTTSv2": "XTTSv2", + "pt|Bark": "Latir", + "pt|Fairseq": "Fairseq", + "pt|VITS": "VITS", + "pt|Tacotron2": "Tacotron2", + "pt|YourTTS": "YourTTS", + "pt|Tortoise": "Tartaruga", + "pt|GlowTTS": "GlowTTS", + "pt|Piper": "Piper", + "pt|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "pt|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "pt|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "pt|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "pt|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "pt|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "pt|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "pt|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "pt|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "pt|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "pt|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "pt|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "pt|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "pt|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "pt|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "pt|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "pt|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "pt|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "pt|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "pl|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Konwerter CPU/GPU z e-booka na audiobook z rozdziałami i metadanymi<br/>", + "pl|using advanced TTS engines and much more.<br/>": "z wykorzystaniem zaawansowanych silników TTS i nie tylko.<br/>", + "pl|Supports voice cloning and 1158 languages!": "Obsługuje klonowanie głosu i 1158 języków!", + "pl|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**To narzędzie jest przeznaczone wyłącznie do użytku z e-bookami bez DRM, nabytymi legalnie.** <br>", + "pl|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Autorzy nie ponoszą odpowiedzialności za jakiekolwiek niewłaściwe użycie tego oprogramowania ani za wynikające z tego konsekwencje prawne. <br>", + "pl|Use this tool responsibly and in accordance with all applicable laws.": "Korzystaj z tego narzędzia odpowiedzialnie i zgodnie ze wszystkimi obowiązującymi przepisami.", + "pl|Thanks to support ebook2audiobook developers!": "Dziękujemy za wsparcie twórców ebook2audiobook!", + "pl|Run locally": "Uruchamianie lokalne", + "pl|Run Remotely": "Uruchamianie zdalne", + "pl|GUI Interface": "Interfejs graficzny (GUI)", + "pl|<summary>Click to see images of Web GUI</summary>": "<summary>Kliknij, aby zobaczyć obrazy interfejsu webowego</summary>", + "pl|Demos": "Dema", + "pl|**New Default Voice Demo** ": "**Demo nowego domyślnego głosu** ", + "pl|<summary>More Demos</summary>": "<summary>Więcej dem</summary>", + "pl|**ASMR Voice** ": "**Głos ASMR** ", + "pl|**Rainy Day Voice** ": "**Głos deszczowego dnia** ", + "pl|**Scarlett Voice**": "**Głos Scarlett**", + "pl|**David Attenborough Voice** ": "**Głos Davida Attenborough** ", + "pl|**Example**": "**Przykład**", + "pl|Table of Contents": "Spis treści", + "pl|[Features](#features)": "[Funkcje](#features)", + "pl|[GUI Interface](#gui-interface)": "[Interfejs graficzny](#gui-interface)", + "pl|[Demos](#demos)": "[Dema](#demos)", + "pl|[Supported Languages](#supported-languages)": "[Obsługiwane języki](#supported-languages)", + "pl|[Minimum Requirements](#hardware-requirements)": "[Minimalne wymagania](#hardware-requirements)", + "pl|[Usage](#instructions)": "[Użycie](#instructions)", + "pl|[Run Locally](#instructions)": "[Uruchamianie lokalne](#instructions)", + "pl|[Launching Gradio Web Interface](#instructions)": "[Uruchamianie interfejsu webowego Gradio](#instructions)", + "pl|[Basic Headless Usage](#basic-usage)": "[Podstawowe użycie w trybie headless](#basic-usage)", + "pl|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Użycie własnego modelu XTTS w trybie headless](#example-of-custom-model-zip-upload)", + "pl|[Help command output](#help-command-output)": "[Wynik polecenia pomocy](#help-command-output)", + "pl|[Run Remotely](#run-remotely)": "[Uruchamianie zdalne](#run-remotely)", + "pl|[Steps to Run](#docker)": "[Kroki uruchamiania](#docker)", + "pl|[Common Docker Issues](#common-docker-issues)": "[Częste problemy z Dockerem](#common-docker-issues)", + "pl|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Dostrojone modele TTS](#fine-tuned-tts-models)", + "pl|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Kolekcja dostrojonych modeli TTS](#fine-tuned-tts-collection)", + "pl|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Trenowanie XTTSv2](#fine-tune-your-own-xttsv2-model)", + "pl|[Supported eBook Formats](#supported-ebook-formats)": "[Obsługiwane formaty e-booków](#supported-ebook-formats)", + "pl|[Output Formats](#output-and-process-formats)": "[Formaty wyjściowe](#output-and-process-formats)", + "pl|[Revert to older Version](#reverting-to-older-versions)": "[Powrót do starszej wersji](#reverting-to-older-versions)", + "pl|[Common Issues](#common-issues)": "[Częste problemy](#common-issues)", + "pl|[Special Thanks](#special-thanks)": "[Specjalne podziękowania](#special-thanks)", + "pl|[Table of Contents](#table-of-contents)": "[Spis treści](#table-of-contents)", + "pl|Features": "Funkcje", + "pl|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Obsługiwane silniki TTS**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "pl|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Konwersja wielu formatów plików**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "pl|💻 **TextArea** to convert directly a short text in audio": "💻 **Pole tekstowe** do bezpośredniej konwersji krótkiego tekstu na audio", + "pl|🔍 **OCR scanning** for files with text pages as images": "🔍 **Skanowanie OCR** dla plików ze stronami tekstu w postaci obrazów", + "pl|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Wysokiej jakości zamiana tekstu na mowę**, od niemal czasu rzeczywistego po niemal naturalny głos", + "pl|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Opcjonalne klonowanie głosu** przy użyciu własnego pliku głosowego", + "pl|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Obsługuje 1158 języków** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "pl|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Przyjazny dla ograniczonych zasobów** — działa na **2 GB RAM / 1 GB VRAM (minimum)**", + "pl|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Formaty wyjściowe audiobooka**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "pl|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Obsługa znaczników SML** — precyzyjna kontrola przerw, pauz, zmiany głosu i nie tylko ([see below](#sml-tags-available))", + "pl|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Opcjonalny własny model** przy użyciu własnego wytrenowanego modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "pl|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Dostrojone modele gotowe** wytrenowane przez zespół E2A<br/>", + "pl|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Skontaktuj się z nami, jeśli potrzebujesz dodatkowych dostrojonych modeli lub jeśli chcesz udostępnić własne na oficjalnej liście gotowych ustawień)</i>", + "pl|Hardware Requirements": "Wymagania sprzętowe", + "pl|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB zalecane.", + "pl|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB zalecane.", + "pl|Virtualization enabled if running on windows (Docker only).": "Włączona wirtualizacja przy uruchamianiu w systemie Windows (tylko Docker).", + "pl|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "pl|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Nowoczesne silniki TTS są bardzo wolne na CPU, więc używaj TTS o niższej jakości, takich jak YourTTS, Tacotron2 itd.</i>", + "pl|Supported Languages": "Obsługiwane języki", + "pl|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 języków i dialektów tutaj**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "pl|Supported eBook Formats": "Obsługiwane formaty e-booków", + "pl|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Najlepsze rezultaty**: `.epub` lub `.mobi` dla automatycznego wykrywania rozdziałów", + "pl|Output and process Formats": "Formaty wyjściowe i przetwarzania", + "pl|Process format can be changed in lib/conf.py": "Format przetwarzania można zmienić w lib/conf.py", + "pl|SML tags available": "Dostępne znaczniki SML", + "pl|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — cisza (losowy zakres **0.3–0.6 sec.**)", + "pl|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — cisza (losowy zakres **1.0–1.6 sec.**)", + "pl|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — stała pauza (**N sec.**)", + "pl|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — przełączenie głosu z domyślnego lub wybranego z GUI/CLI", + "pl|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Sprawdź nasze inne repozytorium poświęcone automatycznemu dodawaniu SML w Twoim e-booku -> [E2A-SML](./tools/E2A-SML)**", + "pl|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Zanim zgłosisz problem z instalacją lub błąd, przeszukaj dokładnie zakładkę z otwartymi i zamkniętymi zgłoszeniami<br>", + "pl|to be sure your issue does not exist already.**": "aby upewnić się, że Twój problem jeszcze nie istnieje.**", + "pl|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Format EPUB nie posiada żadnej standardowej struktury określającej, czym jest rozdział, akapit, przedmowa itd.<br>", + "pl|So you should first remove manually any text you don't want to be converted in audio.**": "Dlatego najpierw należy ręcznie usunąć wszelki tekst, którego nie chcesz konwertować na audio.**", + "pl|**Install / Run ebook2audiobook**:": "**Zainstaluj / Uruchom ebook2audiobook**:", + "pl|**Mac Launcher** ": "**Launcher dla Maca** ", + "pl|Double click `Mac Ebook2Audiobook Launcher.command`": "Kliknij dwukrotnie `Mac Ebook2Audiobook Launcher.command`", + "pl|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Uwaga dla użytkowników Windows: scoop jest instalowany w celu zainstalowania brakujących programów bez uprawnień administratora.</i>", + "pl|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Otwórz aplikację webową**: Kliknij adres URL podany w terminalu, aby uzyskać dostęp do aplikacji webowej i konwertować e-booki. `http://localhost:7860/`", + "pl|**For Public Link**:": "**Aby uzyskać link publiczny**:", + "pl|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Jeśli skrypt zostanie zatrzymany i uruchomiony ponownie, musisz odświeżyć swój interfejs graficzny Gradio<br>", + "pl|to let the web page reconnect to the new connection socket.**": "aby strona internetowa mogła ponownie połączyć się z nowym gniazdem połączenia.**", + "pl|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Ścieżka do pliku e-booka", + "pl|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Ścieżka pliku do klonowania głosu (opcjonalnie)", + "pl|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Kod języka w ISO-639-3 (np.: ita dla włoskiego, eng dla angielskiego, deu dla niemieckiego...).<br>", + "pl|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Domyślny język to eng, a --language jest opcjonalny dla języka domyślnego ustawionego w ./lib/lang.py.<br>", + "pl|The ISO-639-1 2 letters codes are also supported.": "Obsługiwane są również 2-literowe kody ISO-639-1.", + "pl|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Ścieżka do pliku `model_name.zip`,", + "pl|which must contain (according to the tts engine) all the mandatory files<br>": "który musi zawierać (zależnie od silnika TTS) wszystkie obowiązkowe pliki<br>", + "pl|(see ./lib/models.py).": "(zobacz ./lib/models.py).", + "pl|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "UWAGA: w trybie gradio/gui, aby anulować trwającą konwersję, po prostu kliknij [X] w komponencie przesyłania e-booka.", + "pl|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "WSKAZÓWKA: jeśli potrzebna jest dłuższa pauza, dodaj '[pause:3]' dla 3 sek. itd.", + "pl|Common Docker Issues": "Częste problemy z Dockerem", + "pl|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moja karta NVIDIA nie jest wykrywana?? -> [Strona wiki PROBLEMY Z GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "pl|Fine Tuned TTS models": "Dostrojone (fine-tuned) modele TTS", + "pl|Fine Tune your own XTTSv2 model": "Dostrój własny model XTTSv2", + "pl|De-noise training data": "Odszumianie danych treningowych", + "pl|Fine Tuned TTS Collection": "Kolekcja dostrojonych modeli TTS", + "pl|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Dla własnego modelu XTTSv2 obowiązkowy jest referencyjny klip audio z głosem:", + "pl|Your own Ebook2Audiobook customization": "Twoja własna personalizacja Ebook2Audiobook", + "pl|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Możesz dowolnie modyfikować libs/conf.py, aby dodać lub usunąć żądane ustawienia. Jeśli planujesz to zrobić, po prostu wykonaj", + "pl|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "kopię oryginalnego conf.py, aby przy każdej aktualizacji ebook2audiobook móc zachować swój zmodyfikowany conf.py i przywrócić", + "pl|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "oryginalny. Musisz zaplanować ten sam proces dla models.py. Jeśli chcesz, aby Twój własny model", + "pl|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "stał się oficjalnym dostrojonym modelem ebook2audiobook, skontaktuj się z nami, a dodamy go do listy gotowych ustawień.", + "pl|Common Issues:": "Częste problemy:", + "pl|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moja karta GPU NVIDIA/ROCm/XPU/MPS nie jest wykrywana?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "pl|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU jest wolne (lepsze na serwerowym CPU SMP), podczas gdy GPU może zapewnić konwersję niemal w czasie rzeczywistym.", + "pl|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Nie ma jednak klonowania głosu zero-shot, a głosy są jakości Siri, ale jest znacznie szybsze na CPU).", + "pl|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Mam problemy z zależnościami” - Po prostu użyj Dockera, jest w pełni samodzielny i ma tryb headless,", + "pl|add `--help` parameter at the end of the docker run command for more information.": "dodaj parametr `--help` na końcu polecenia docker run, aby uzyskać więcej informacji.", + "pl|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Mam problem z przyciętym dźwiękiem!” - PROSIMY O ZGŁOSZENIE TEGO JAKO ISSUE,", + "pl|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "nie mówimy w każdym języku i potrzebujemy porad użytkowników, aby dostroić logikę dzielenia zdań.😊", + "pl|***** ROADMAP *****": "***** PLAN ROZWOJU *****", + "pl|All Features open to public Contributions ⭐": "Wszystkie funkcje otwarte na publiczne wkłady ⭐", + "pl|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Wszelka pomoc od osób mówiących w którymkolwiek z obsługiwanych języków, aby pomóc nam ulepszać modele ⭐", + "pl|Preview Blocks/Chapters before to start the conversion": "Podgląd bloków/rozdziałów przed rozpoczęciem konwersji", + "pl|Edit by sentence converted for surgical text change": "Edycja według przekonwertowanego zdania dla chirurgicznej zmiany tekstu", + "pl|SML tags integration for voice, pause, break, and more changes ": "Integracja znaczników SML dla głosu, pauzy, przerwy i innych zmian ", + "pl|-h -help parameter info in different languages": "Informacje o parametrach -h -help w różnych językach", + "pl|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Skanowanie OCR dla PDF / JPG / BMP / PNG / TIFF", + "pl|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Folder notebooków [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "pl|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Sprawić, by dzielenie tekstu chińskiego nie rozdzielało słów i poprawić synchronizację pauz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "pl|Kaggle Notebook": "Notebook Kaggle", + "pl|Google Colab Notebook": "Notebook Google Colab", + "pl|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Stworzyć aplikację na iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "pl|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Stworzyć aplikację na Androida](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "pl|Audiobookshelf integration": "Integracja z Audiobookshelf", + "pl|Extra Options": "Dodatkowe opcje", + "pl|Ebook Translation option": "Opcja tłumaczenia e-booka", + "pl|Output format choices": "Wybór formatu wyjściowego", + "pl|Batch ebook folder": "Wsadowy folder e-booków", + "pl|Multiprocessing conversion": "Konwersja wieloprocesowa", + "pl|Batch ebook folder conversion": "Wsadowa konwersja folderu e-booków", + "pl|GPU Device detection": "Wykrywanie urządzenia GPU", + "pl|Denoise any reference audio for upload voice cloning,": "Odszumianie dowolnego referencyjnego audio do przesyłanego klonowania głosu,", + "pl|Custom model upload (XTTSv2 only for now. more on request)": "Przesyłanie własnego modelu (na razie tylko XTTSv2. więcej na życzenie)", + "pl|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Dodać model języka portugalskiego europejskiego przynajmniej dla xttsv2, fairseq, vits, piper (pomoc mile widziana)", + "pl|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Dodać model języka sindhi przynajmniej dla xttsv2, fairseq, vits, piper (pomoc mile widziana)", + "pl|Readme Translation": "Tłumaczenie pliku Readme", + "pl|🐍 OS Compatibility": "🐍 Zgodność z systemami operacyjnymi", + "pl|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Dodatkowy przerost dla trenowania modeli i nie tylko (wszystkie obsługiwane modele Coqui-tts oraz piper-tts w jednym prostym poleceniu) ", + "pl|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Po informacje na ten temat: @DrewThomasson obecnie pracuje nad jego rozwojem, [repozytorium w trakcie prac tutaj](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "pl|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Stworzyć łatwy w użyciu interfejs treningowy dla wszystkich modeli coqui-tts w przepisach treningowych w formacie ljspeech [tutaj od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "pl|Python Code normalization information for contributors": "Informacje o normalizacji kodu Python dla współtwórców", + "pl|no blank line between code, unless between functions and classes.": "brak pustej linii między kodem, z wyjątkiem między funkcjami i klasami.", + "pl|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "pojedynczy cudzysłów używany dla wszystkich kluczy z wyjątkiem dict() i json. dict['key'] zawsze wywoływany z pojedynczym cudzysłowem", + "pl|4 spaces indentation, not tab at all": "wcięcie 4 spacje, w ogóle bez tabulatorów", + "pl|strict typing for all functions and its arguments declaration and return values": "ścisłe typowanie dla wszystkich funkcji oraz deklaracji ich argumentów i wartości zwracanych", + "pl|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "brak spacji między argumentem a jego typem, brak spacji między funkcją, „->” a wartością zwracaną", + "pl|Example:": "Przykład:", + "pl|Hardware donation for beta tests wanted": "Poszukiwana darowizna sprzętu na testy beta", + "pl|We accept any kind of hardware to test our development like:": "Przyjmujemy każdy rodzaj sprzętu do testowania naszego rozwoju, taki jak:", + "pl|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson jeśli chcesz w jakikolwiek sposób pomóc! 😃", + "pl|Do you need to rent a GPU to boost service from us?": "Czy potrzebujesz wynająć GPU, aby przyspieszyć naszą usługę?", + "pl|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Ankieta jest otwarta tutaj https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "pl|Special Thanks": "Specjalne podziękowania", + "pl|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 za lepszą metodę zapisywania rozdziałów](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "pl|TTS engines": "Silniki TTS", + "pl|XTTSv2": "XTTSv2", + "pl|Bark": "Kora", + "pl|Fairseq": "Fairseq", + "pl|VITS": "VITS", + "pl|Tacotron2": "Tacotron2", + "pl|YourTTS": "YourTTS", + "pl|Tortoise": "Żółwie", + "pl|GlowTTS": "GlowTTS", + "pl|Piper": "Piper", + "pl|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "pl|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "pl|fish-speech (https://github.com/fishaudio/fish-speech)": "przemowa ryb (https://github.com/fishaudio/fish-speech)", + "pl|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "pl|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "pl|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "pl|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "pl|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "pl|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "pl|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "pl|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "pl|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "pl|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "pl|Zonos (https://github.com/Zyphra/Zonos)": "Strefy (https://github.com/Zyphra/Zonos)", + "pl|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Styl-TTS2 (https://github.com/yl4579/StyleTTS2)", + "pl|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "pl|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "pl|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "pl|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "tr|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "E-Kitaptan bölümler ve meta verilerle sesli kitaba CPU/GPU dönüştürücü<br/>", + "tr|using advanced TTS engines and much more.<br/>": "gelişmiş TTS motorları ve çok daha fazlasını kullanarak.<br/>", + "tr|Supports voice cloning and 1158 languages!": "Ses klonlamayı ve 1158 dili destekler!", + "tr|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Bu araç yalnızca DRM içermeyen, yasal olarak edinilmiş e-kitaplarla kullanılmak üzere tasarlanmıştır.** <br>", + "tr|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Yazarlar, bu yazılımın herhangi bir şekilde kötüye kullanılmasından veya bundan kaynaklanan yasal sonuçlardan sorumlu değildir. <br>", + "tr|Use this tool responsibly and in accordance with all applicable laws.": "Bu aracı sorumlu bir şekilde ve geçerli tüm yasalara uygun olarak kullanın.", + "tr|Thanks to support ebook2audiobook developers!": "ebook2audiobook geliştiricilerini desteklediğiniz için teşekkürler!", + "tr|Run locally": "Yerel olarak çalıştırma", + "tr|Run Remotely": "Uzaktan çalıştırma", + "tr|GUI Interface": "Grafik Arayüz (GUI)", + "tr|<summary>Click to see images of Web GUI</summary>": "<summary>Web GUI görüntülerini görmek için tıklayın</summary>", + "tr|Demos": "Demolar", + "tr|**New Default Voice Demo** ": "**Yeni Varsayılan Ses Demosu** ", + "tr|<summary>More Demos</summary>": "<summary>Daha fazla demo</summary>", + "tr|**ASMR Voice** ": "**ASMR Sesi** ", + "tr|**Rainy Day Voice** ": "**Yağmurlu Gün Sesi** ", + "tr|**Scarlett Voice**": "**Scarlett Sesi**", + "tr|**David Attenborough Voice** ": "**David Attenborough Sesi** ", + "tr|**Example**": "**Örnek**", + "tr|Table of Contents": "İçindekiler", + "tr|[Features](#features)": "[Özellikler](#features)", + "tr|[GUI Interface](#gui-interface)": "[Grafik Arayüz](#gui-interface)", + "tr|[Demos](#demos)": "[Demolar](#demos)", + "tr|[Supported Languages](#supported-languages)": "[Desteklenen Diller](#supported-languages)", + "tr|[Minimum Requirements](#hardware-requirements)": "[Minimum Gereksinimler](#hardware-requirements)", + "tr|[Usage](#instructions)": "[Kullanım](#instructions)", + "tr|[Run Locally](#instructions)": "[Yerel Olarak Çalıştırma](#instructions)", + "tr|[Launching Gradio Web Interface](#instructions)": "[Gradio Web Arayüzünü Başlatma](#instructions)", + "tr|[Basic Headless Usage](#basic-usage)": "[Temel Headless Kullanımı](#basic-usage)", + "tr|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless Özel XTTS Model Kullanımı](#example-of-custom-model-zip-upload)", + "tr|[Help command output](#help-command-output)": "[Yardım komutu çıktısı](#help-command-output)", + "tr|[Run Remotely](#run-remotely)": "[Uzaktan Çalıştırma](#run-remotely)", + "tr|[Steps to Run](#docker)": "[Çalıştırma Adımları](#docker)", + "tr|[Common Docker Issues](#common-docker-issues)": "[Yaygın Docker Sorunları](#common-docker-issues)", + "tr|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[İnce Ayarlı TTS modelleri](#fine-tuned-tts-models)", + "tr|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[İnce Ayarlı TTS Modelleri Koleksiyonu](#fine-tuned-tts-collection)", + "tr|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 Eğitimi](#fine-tune-your-own-xttsv2-model)", + "tr|[Supported eBook Formats](#supported-ebook-formats)": "[Desteklenen E-Kitap Biçimleri](#supported-ebook-formats)", + "tr|[Output Formats](#output-and-process-formats)": "[Çıktı Biçimleri](#output-and-process-formats)", + "tr|[Revert to older Version](#reverting-to-older-versions)": "[Eski Sürüme Geri Dönme](#reverting-to-older-versions)", + "tr|[Common Issues](#common-issues)": "[Yaygın Sorunlar](#common-issues)", + "tr|[Special Thanks](#special-thanks)": "[Özel Teşekkürler](#special-thanks)", + "tr|[Table of Contents](#table-of-contents)": "[İçindekiler](#table-of-contents)", + "tr|Features": "Özellikler", + "tr|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Desteklenen TTS Motorları**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "tr|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Birden fazla dosya biçimini dönüştürme**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "tr|💻 **TextArea** to convert directly a short text in audio": "💻 **Metin Alanı** kısa bir metni doğrudan sese dönüştürmek için", + "tr|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR taraması** metin sayfaları görüntü olan dosyalar için", + "tr|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Yüksek kaliteli metinden konuşmaya**, neredeyse gerçek zamanlıdan neredeyse gerçek sese kadar", + "tr|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **İsteğe bağlı ses klonlama** kendi ses dosyanızı kullanarak", + "tr|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **1158 dili destekler** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "tr|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Düşük kaynak dostu** — **2 GB RAM / 1 GB VRAM (minimum)** ile çalışır", + "tr|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Sesli kitap çıktı biçimleri**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "tr|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML etiketleri desteklenir** — kesintiler, duraklamalar, ses değiştirme ve daha fazlasının ince ayarlı kontrolü ([see below](#sml-tags-available))", + "tr|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **İsteğe bağlı özel model** kendi eğittiğiniz modeli kullanarak (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "tr|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **E2A Ekibi tarafından eğitilmiş ince ayarlı ön ayar modelleri**<br/>", + "tr|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Ek ince ayarlı modellere ihtiyacınız olursa veya kendinizinkileri resmi ön ayar listesinde paylaşmak isterseniz bizimle iletişime geçin)</i>", + "tr|Hardware Requirements": "Donanım Gereksinimleri", + "tr|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB önerilir.", + "tr|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB önerilir.", + "tr|Virtualization enabled if running on windows (Docker only).": "Windows üzerinde çalıştırılıyorsa sanallaştırma etkin (yalnızca Docker).", + "tr|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Modern TTS motorları CPU'da çok yavaştır, bu yüzden YourTTS, Tacotron2 gibi daha düşük kaliteli TTS kullanın.</i>", + "tr|Supported Languages": "Desteklenen Diller", + "tr|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 dil ve lehçe burada**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "tr|Supported eBook Formats": "Desteklenen E-Kitap Biçimleri", + "tr|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**En iyi sonuçlar**: otomatik bölüm algılama için `.epub` veya `.mobi`", + "tr|Output and process Formats": "Çıktı ve işlem Biçimleri", + "tr|Process format can be changed in lib/conf.py": "İşlem biçimi lib/conf.py dosyasında değiştirilebilir", + "tr|SML tags available": "Kullanılabilir SML etiketleri", + "tr|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — sessizlik (rastgele aralık **0.3–0.6 sec.**)", + "tr|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — sessizlik (rastgele aralık **1.0–1.6 sec.**)", + "tr|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — sabit duraklama (**N sec.**)", + "tr|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — varsayılan sesten veya GUI/CLI'den seçilen sesten ses değiştirme", + "tr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**E-kitabınıza otomatik olarak SML eklemeye adanmış diğer deposumuza göz atın -> [E2A-SML](./tools/E2A-SML)**", + "tr|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Bir kurulum veya hata sorunu göndermeden önce, açık ve kapalı sorunlar sekmesini dikkatlice arayın<br>", + "tr|to be sure your issue does not exist already.**": "sorununuzun zaten var olmadığından emin olmak için.**", + "tr|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB biçimi, bölüm, paragraf, önsöz vb. şeylerin ne olduğunu tanımlayan herhangi bir standart yapıdan yoksundur.<br>", + "tr|So you should first remove manually any text you don't want to be converted in audio.**": "Bu yüzden önce sese dönüştürmek istemediğiniz her metni manuel olarak kaldırmalısınız.**", + "tr|**Install / Run ebook2audiobook**:": "**ebook2audiobook'u kurun / çalıştırın**:", + "tr|**Mac Launcher** ": "**Mac Başlatıcı** ", + "tr|Double click `Mac Ebook2Audiobook Launcher.command`": "`Mac Ebook2Audiobook Launcher.command` dosyasına çift tıklayın", + "tr|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windows kullanıcıları için not: yönetici ayrıcalıkları olmadan eksik programları kurmak için scoop kurulur.</i>", + "tr|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Web Uygulamasını açın**: Web uygulamasına erişmek ve e-kitapları dönüştürmek için terminalde verilen URL'ye tıklayın. `http://localhost:7860/`", + "tr|**For Public Link**:": "**Genel Bağlantı için**:", + "tr|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Komut dosyası durdurulup tekrar çalıştırılırsa, Gradio GUI arayüzünüzü yenilemeniz gerekir<br>", + "tr|to let the web page reconnect to the new connection socket.**": "web sayfasının yeni bağlantı soketine yeniden bağlanmasına izin vermek için.**", + "tr|**[--ebook]**: Path to your eBook file": "**[--ebook]**: E-kitap dosyanızın yolu", + "tr|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Ses klonlama dosyası yolu (isteğe bağlı)", + "tr|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: ISO-639-3 formatında dil kodu (örn.: İtalyanca için ita, İngilizce için eng, Almanca için deu...).<br>", + "tr|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Varsayılan dil eng'dir ve --language, ./lib/lang.py içinde ayarlanan varsayılan dil için isteğe bağlıdır.<br>", + "tr|The ISO-639-1 2 letters codes are also supported.": "2 harfli ISO-639-1 kodları da desteklenir.", + "tr|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: `model_name.zip` dosyasının yolu,", + "tr|which must contain (according to the tts engine) all the mandatory files<br>": "bu dosya (TTS motoruna göre) tüm zorunlu dosyaları içermelidir<br>", + "tr|(see ./lib/models.py).": "(bkz. ./lib/models.py).", + "tr|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOT: gradio/gui modunda, çalışan bir dönüştürmeyi iptal etmek için e-kitap yükleme bileşenindeki [X] üzerine tıklamanız yeterlidir.", + "tr|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "İPUCU: biraz daha duraklamaya ihtiyaç varsa, 3 sn. için '[pause:3]' ekleyin vb.", + "tr|Common Docker Issues": "Yaygın Docker Sorunları", + "tr|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "NVIDIA GPU'm algılanmıyor mu?? -> [GPU SORUNLARI Wiki Sayfası](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "tr|Fine Tuned TTS models": "İnce Ayarlı (fine-tuned) TTS modelleri", + "tr|Fine Tune your own XTTSv2 model": "Kendi XTTSv2 modelinizi ince ayarlayın", + "tr|De-noise training data": "Eğitim verilerinin gürültüsünü giderme", + "tr|Fine Tuned TTS Collection": "İnce Ayarlı TTS Modelleri Koleksiyonu", + "tr|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Özel bir XTTSv2 modeli için sesin referans ses klibi zorunludur:", + "tr|Your own Ebook2Audiobook customization": "Kendi Ebook2Audiobook özelleştirmeniz", + "tr|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "İstediğiniz ayarları eklemek veya kaldırmak için libs/conf.py dosyasını değiştirmekte özgürsünüz. Bunu yapmayı planlıyorsanız, sadece", + "tr|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "orijinal conf.py dosyasının bir kopyasını alın, böylece her ebook2audiobook güncellemesinde değiştirilmiş conf.py dosyanızı yedekleyip", + "tr|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "orijinalini geri koyabilirsiniz. Aynı süreci models.py için de planlamalısınız. Kendi özel modelinizi", + "tr|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "resmi bir ince ayarlı ebook2audiobook modeli yapmak isterseniz, lütfen bizimle iletişime geçin, onu ön ayar listesine ekleyelim.", + "tr|Common Issues:": "Yaygın Sorunlar:", + "tr|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "NVIDIA/ROCm/XPU/MPS GPU'm algılanmıyor mu?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "tr|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU yavaştır (sunucu smp CPU'sunda daha iyi), GPU ise neredeyse gerçek zamanlı dönüştürme yapabilir.", + "tr|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Ancak zero-shot ses klonlaması yoktur ve sesler Siri kalitesindedir, ama cpu'da çok daha hızlıdır).", + "tr|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Bağımlılık sorunları yaşıyorum\" - Sadece Docker'ı kullanın, tamamen bağımsızdır ve headless modu vardır,", + "tr|add `--help` parameter at the end of the docker run command for more information.": "daha fazla bilgi için docker run komutunun sonuna `--help` parametresini ekleyin.", + "tr|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Kesik ses sorunu yaşıyorum!\" - LÜTFEN BUNUNLA İLGİLİ BİR ISSUE AÇIN,", + "tr|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "her dili konuşmuyoruz ve cümle bölme mantığını ince ayarlamak için kullanıcıların tavsiyesine ihtiyacımız var.😊", + "tr|***** ROADMAP *****": "***** YOL HARİTASI *****", + "tr|All Features open to public Contributions ⭐": "Tüm Özellikler kamuya açık Katkılara açık ⭐", + "tr|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Modelleri geliştirmemize yardımcı olmak için desteklenen dillerden herhangi birini konuşan kişilerden gelen her türlü yardım ⭐", + "tr|Preview Blocks/Chapters before to start the conversion": "Dönüştürmeyi başlatmadan önce Blokları/Bölümleri önizleme", + "tr|Edit by sentence converted for surgical text change": "Cerrahi metin değişikliği için dönüştürülen cümleye göre düzenleme", + "tr|SML tags integration for voice, pause, break, and more changes ": "Ses, duraklama, kesinti ve daha fazla değişiklik için SML etiketi entegrasyonu ", + "tr|-h -help parameter info in different languages": "Farklı dillerde -h -help parametre bilgisi", + "tr|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "PDF / JPG / BMP / PNG / TIFF için OCR taraması", + "tr|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooklar Klasörü [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "tr|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Çince metin bölmenin kelimeleri bölmemesini sağlamak ve duraklama zamanlamasını iyileştirmek [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "tr|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Bir iOS uygulaması yapmak](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "tr|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Bir android uygulaması yapmak](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "tr|Audiobookshelf integration": "Audiobookshelf entegrasyonu", + "tr|Extra Options": "Ekstra Seçenekler", + "tr|Ebook Translation option": "E-kitap Çeviri seçeneği", + "tr|Output format choices": "Çıktı biçimi seçenekleri", + "tr|Batch ebook folder": "Toplu e-kitap klasörü", + "tr|Multiprocessing conversion": "Çoklu işlemeyle dönüştürme", + "tr|Batch ebook folder conversion": "Toplu e-kitap klasörü dönüştürme", + "tr|GPU Device detection": "GPU Aygıt algılama", + "tr|Denoise any reference audio for upload voice cloning,": "Yüklenen ses klonlama için herhangi bir referans sesin gürültüsünü gider,", + "tr|Custom model upload (XTTSv2 only for now. more on request)": "Özel model yükleme (şimdilik yalnızca XTTSv2. istek üzerine daha fazlası)", + "tr|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "En azından xttsv2, fairseq, vits, piper için Avrupa Portekizcesi dil modeli ekleme (yardım memnuniyetle karşılanır)", + "tr|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "En azından xttsv2, fairseq, vits, piper için Sindhi dil modeli ekleme (yardım memnuniyetle karşılanır)", + "tr|Readme Translation": "Readme Çevirisi", + "tr|🐍 OS Compatibility": "🐍 İşletim Sistemi Uyumluluğu", + "tr|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Model eğitmek ve benzeri işler için Ekstra Abartı (desteklenen tüm Coqui-tts modelleri ve piper-tts tek bir kolay komutta) ", + "tr|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Bununla ilgili bilgi için @DrewThomasson, şu anda bunun geliştirilmesi üzerinde çalışıyor, [devam eden çalışma deposu burada](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "tr|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ljspeech formatındaki eğitim tariflerinde tüm coqui-tts modelleri için kullanımı kolay bir eğitim gui'si yapmak [coqui tts'ten burada](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "tr|Python Code normalization information for contributors": "Katkıda bulunanlar için Python Kodu normalleştirme bilgileri", + "tr|no blank line between code, unless between functions and classes.": "fonksiyonlar ve sınıflar arasında olması dışında, kod arasında boş satır yok.", + "tr|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dict() ve json dışında tüm anahtarlar için tek tırnak kullanılır. dict['key'] her zaman tek tırnakla çağrılır", + "tr|4 spaces indentation, not tab at all": "4 boşluk girinti, hiç sekme yok", + "tr|strict typing for all functions and its arguments declaration and return values": "tüm fonksiyonlar ve bunların argüman bildirimleri ile dönüş değerleri için katı tipleme", + "tr|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "argüman ile tiplemesi arasında boşluk yok, fonksiyon, \"->\" ve dönüş değeri arasında boşluk yok", + "tr|Example:": "Örnek:", + "tr|Hardware donation for beta tests wanted": "Beta testleri için donanım bağışı aranıyor", + "tr|We accept any kind of hardware to test our development like:": "Geliştirmemizi test etmek için her türlü donanımı kabul ediyoruz, örneğin:", + "tr|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson herhangi bir şekilde yardım etmek isterseniz! 😃", + "tr|Do you need to rent a GPU to boost service from us?": "Hizmetimizi güçlendirmek için bir GPU kiralamanız mı gerekiyor?", + "tr|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Burada bir anket açık https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "tr|Special Thanks": "Özel Teşekkürler", + "tr|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 daha iyi bölüm kaydetme yöntemi için](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "tr|TTS engines": "TTS motorları", + "tr|XTTSv2": "XTTSv2", + "tr|Bark": "Ağaç kabuğu", + "tr|Fairseq": "Fairseq", + "tr|VITS": "VITS", + "tr|Tacotron2": "Tacotron2", + "tr|YourTTS": "YourTTS", + "tr|Tortoise": "Kara kaplumbağası", + "tr|GlowTTS": "GlowTTS", + "tr|Piper": "Piper", + "tr|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "tr|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "tr|fish-speech (https://github.com/fishaudio/fish-speech)": "fish - speech (https://github.com/fishaudio/fish-speech)", + "tr|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "tr|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "tr|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "tr|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "tr|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "tr|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "tr|index-tts (https://github.com/index-tts/index-tts)": "index - tts (https://github.com/index-tts/index-tts)", + "tr|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "tr|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "tr|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "tr|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "tr|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Stil - TTS2 (https://github.com/yl4579/StyleTTS2)", + "tr|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "tr|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "tr|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "tr|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "ru|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU конвертер из электронной книги в аудиокнигу с главами и метаданными<br/>", + "ru|using advanced TTS engines and much more.<br/>": "с использованием передовых движков TTS и многого другого.<br/>", + "ru|Supports voice cloning and 1158 languages!": "Поддерживает клонирование голоса и 1158 языков!", + "ru|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Этот инструмент предназначен для использования только с электронными книгами без DRM, приобретёнными законным путём.** <br>", + "ru|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Авторы не несут ответственности за любое неправомерное использование этого программного обеспечения или за вытекающие из этого правовые последствия. <br>", + "ru|Use this tool responsibly and in accordance with all applicable laws.": "Используйте этот инструмент ответственно и в соответствии со всеми применимыми законами.", + "ru|Thanks to support ebook2audiobook developers!": "Спасибо за поддержку разработчиков ebook2audiobook!", + "ru|Run locally": "Запуск локально", + "ru|Run Remotely": "Запуск удалённо", + "ru|GUI Interface": "Графический интерфейс (GUI)", + "ru|<summary>Click to see images of Web GUI</summary>": "<summary>Нажмите, чтобы увидеть изображения веб-интерфейса</summary>", + "ru|Demos": "Демо", + "ru|**New Default Voice Demo** ": "**Демо нового голоса по умолчанию** ", + "ru|<summary>More Demos</summary>": "<summary>Больше демо</summary>", + "ru|**ASMR Voice** ": "**Голос ASMR** ", + "ru|**Rainy Day Voice** ": "**Голос дождливого дня** ", + "ru|**Scarlett Voice**": "**Голос Скарлетт**", + "ru|**David Attenborough Voice** ": "**Голос Дэвида Аттенборо** ", + "ru|**Example**": "**Пример**", + "ru|Table of Contents": "Содержание", + "ru|[Features](#features)": "[Возможности](#features)", + "ru|[GUI Interface](#gui-interface)": "[Графический интерфейс](#gui-interface)", + "ru|[Demos](#demos)": "[Демо](#demos)", + "ru|[Supported Languages](#supported-languages)": "[Поддерживаемые языки](#supported-languages)", + "ru|[Minimum Requirements](#hardware-requirements)": "[Минимальные требования](#hardware-requirements)", + "ru|[Usage](#instructions)": "[Использование](#instructions)", + "ru|[Run Locally](#instructions)": "[Запуск локально](#instructions)", + "ru|[Launching Gradio Web Interface](#instructions)": "[Запуск веб-интерфейса Gradio](#instructions)", + "ru|[Basic Headless Usage](#basic-usage)": "[Базовое использование в режиме headless](#basic-usage)", + "ru|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Использование пользовательской модели XTTS в режиме headless](#example-of-custom-model-zip-upload)", + "ru|[Help command output](#help-command-output)": "[Вывод команды справки](#help-command-output)", + "ru|[Run Remotely](#run-remotely)": "[Запуск удалённо](#run-remotely)", + "ru|[Steps to Run](#docker)": "[Шаги для запуска](#docker)", + "ru|[Common Docker Issues](#common-docker-issues)": "[Распространённые проблемы с Docker](#common-docker-issues)", + "ru|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Дообученные модели TTS](#fine-tuned-tts-models)", + "ru|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Коллекция дообученных моделей TTS](#fine-tuned-tts-collection)", + "ru|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Обучение XTTSv2](#fine-tune-your-own-xttsv2-model)", + "ru|[Supported eBook Formats](#supported-ebook-formats)": "[Поддерживаемые форматы электронных книг](#supported-ebook-formats)", + "ru|[Output Formats](#output-and-process-formats)": "[Форматы вывода](#output-and-process-formats)", + "ru|[Revert to older Version](#reverting-to-older-versions)": "[Возврат к более старой версии](#reverting-to-older-versions)", + "ru|[Common Issues](#common-issues)": "[Распространённые проблемы](#common-issues)", + "ru|[Special Thanks](#special-thanks)": "[Особая благодарность](#special-thanks)", + "ru|[Table of Contents](#table-of-contents)": "[Содержание](#table-of-contents)", + "ru|Features": "Возможности", + "ru|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Поддерживаемые движки TTS**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "ru|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Преобразование нескольких форматов файлов**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "ru|💻 **TextArea** to convert directly a short text in audio": "💻 **Текстовое поле** для прямого преобразования короткого текста в аудио", + "ru|🔍 **OCR scanning** for files with text pages as images": "🔍 **Сканирование OCR** для файлов с текстовыми страницами в виде изображений", + "ru|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Высококачественное преобразование текста в речь**, от почти реального времени до почти настоящего голоса", + "ru|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Необязательное клонирование голоса** с использованием вашего собственного голосового файла", + "ru|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Поддерживает 1158 языков** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "ru|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Дружелюбен к слабым ресурсам** — работает на **2 ГБ ОЗУ / 1 ГБ VRAM (минимум)**", + "ru|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Форматы вывода аудиокниги**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "ru|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Поддержка тегов SML** — точный контроль над прерываниями, паузами, сменой голоса и многим другим ([see below](#sml-tags-available))", + "ru|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Необязательная пользовательская модель** с использованием вашей собственной обученной модели (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "ru|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Дообученные предустановленные модели**, обученные командой E2A<br/>", + "ru|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Свяжитесь с нами, если вам нужны дополнительные дообученные модели, или если вы хотите поделиться своими в официальном списке предустановок)</i>", + "ru|Hardware Requirements": "Требования к оборудованию", + "ru|2GB RAM min, 8GB recommended.": "2 ГБ ОЗУ мин., 8 ГБ рекомендуется.", + "ru|1GB VRAM min, 4GB recommended.": "1 ГБ VRAM мин., 4 ГБ рекомендуется.", + "ru|Virtualization enabled if running on windows (Docker only).": "Виртуализация включена при запуске в Windows (только Docker).", + "ru|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "ru|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Современные движки TTS очень медленны на CPU, поэтому используйте TTS более низкого качества, такие как YourTTS, Tacotron2 и т. д.</i>", + "ru|Supported Languages": "Поддерживаемые языки", + "ru|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 языков и диалектов здесь**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "ru|Supported eBook Formats": "Поддерживаемые форматы электронных книг", + "ru|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Лучшие результаты**: `.epub` или `.mobi` для автоматического определения глав", + "ru|Output and process Formats": "Форматы вывода и обработки", + "ru|Process format can be changed in lib/conf.py": "Формат обработки можно изменить в lib/conf.py", + "ru|SML tags available": "Доступные теги SML", + "ru|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — тишина (случайный диапазон **0.3–0.6 sec.**)", + "ru|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — тишина (случайный диапазон **1.0–1.6 sec.**)", + "ru|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — фиксированная пауза (**N sec.**)", + "ru|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — переключение голоса с голоса по умолчанию или выбранного из GUI/CLI", + "ru|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Ознакомьтесь с нашим другим репозиторием, посвящённым автоматическому добавлению SML в вашу электронную книгу -> [E2A-SML](./tools/E2A-SML)**", + "ru|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Прежде чем сообщать о проблеме с установкой или ошибке, внимательно поищите во вкладке открытых и закрытых задач<br>", + "ru|to be sure your issue does not exist already.**": "чтобы убедиться, что вашей проблемы ещё не существует.**", + "ru|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Формат EPUB не имеет какой-либо стандартной структуры, определяющей, что такое глава, абзац, предисловие и т. д.<br>", + "ru|So you should first remove manually any text you don't want to be converted in audio.**": "Поэтому сначала вам следует вручную удалить весь текст, который вы не хотите преобразовывать в аудио.**", + "ru|**Install / Run ebook2audiobook**:": "**Установите / Запустите ebook2audiobook**:", + "ru|**Mac Launcher** ": "**Лаунчер для Mac** ", + "ru|Double click `Mac Ebook2Audiobook Launcher.command`": "Дважды щёлкните `Mac Ebook2Audiobook Launcher.command`", + "ru|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Примечание для пользователей Windows: устанавливается scoop для установки отсутствующих программ без прав администратора.</i>", + "ru|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Откройте веб-приложение**: Нажмите на URL, указанный в терминале, чтобы получить доступ к веб-приложению и преобразовывать электронные книги. `http://localhost:7860/`", + "ru|**For Public Link**:": "**Для публичной ссылки**:", + "ru|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Если скрипт остановлен и запущен снова, вам нужно обновить ваш интерфейс Gradio GUI<br>", + "ru|to let the web page reconnect to the new connection socket.**": "чтобы веб-страница смогла повторно подключиться к новому сокету соединения.**", + "ru|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Путь к файлу вашей электронной книги", + "ru|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Путь к файлу для клонирования голоса (необязательно)", + "ru|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Код языка в ISO-639-3 (т. е.: ita для итальянского, eng для английского, deu для немецкого...).<br>", + "ru|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Язык по умолчанию — eng, и --language является необязательным для языка по умолчанию, заданного в ./lib/lang.py.<br>", + "ru|The ISO-639-1 2 letters codes are also supported.": "Также поддерживаются двухбуквенные коды ISO-639-1.", + "ru|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Путь к файлу `model_name.zip`,", + "ru|which must contain (according to the tts engine) all the mandatory files<br>": "который должен содержать (в зависимости от движка tts) все обязательные файлы<br>", + "ru|(see ./lib/models.py).": "(см. ./lib/models.py).", + "ru|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "ПРИМЕЧАНИЕ: в режиме gradio/gui, чтобы отменить выполняющееся преобразование, просто нажмите [X] компонента загрузки электронной книги.", + "ru|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "СОВЕТ: если нужна чуть большая пауза, добавьте '[pause:3]' для 3 сек. и т. д.", + "ru|Common Docker Issues": "Распространённые проблемы с Docker", + "ru|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Мой графический процессор NVIDIA не обнаружен?? -> [Страница вики ПРОБЛЕМЫ С GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ru|Fine Tuned TTS models": "Дообученные (fine-tuned) модели TTS", + "ru|Fine Tune your own XTTSv2 model": "Дообучите свою собственную модель XTTSv2", + "ru|De-noise training data": "Шумоподавление обучающих данных", + "ru|Fine Tuned TTS Collection": "Коллекция дообученных моделей TTS", + "ru|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Для пользовательской модели XTTSv2 обязателен референсный аудиоклип голоса:", + "ru|Your own Ebook2Audiobook customization": "Ваша собственная настройка Ebook2Audiobook", + "ru|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Вы можете свободно изменять libs/conf.py, чтобы добавлять или удалять нужные вам настройки. Если вы планируете это сделать, просто сделайте", + "ru|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "копию оригинального conf.py, чтобы при каждом обновлении ebook2audiobook вы могли создать резервную копию вашего изменённого conf.py и вернуть", + "ru|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "оригинал. Вы должны спланировать тот же процесс для models.py. Если вы хотите сделать свою собственную модель", + "ru|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "официальной дообученной моделью ebook2audiobook, пожалуйста, свяжитесь с нами, и мы добавим её в список предустановок.", + "ru|Common Issues:": "Распространённые проблемы:", + "ru|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Мой графический процессор NVIDIA/ROCm/XPU/MPS не обнаружен?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ru|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU медленный (лучше на серверном SMP CPU), тогда как GPU может обеспечить почти преобразование в реальном времени.", + "ru|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Однако у него нет клонирования голоса zero-shot, и это голоса качества Siri, но он намного быстрее на cpu).", + "ru|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "«У меня проблемы с зависимостями» - Просто используйте docker, он полностью автономен и имеет режим headless,", + "ru|add `--help` parameter at the end of the docker run command for more information.": "добавьте параметр `--help` в конец команды docker run для получения дополнительной информации.", + "ru|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "«У меня проблема с обрезанным звуком!» - ПОЖАЛУЙСТА, СОЗДАЙТЕ ОБ ЭТОМ ISSUE,", + "ru|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "мы не говорим на каждом языке и нуждаемся в советах пользователей, чтобы доработать логику разбиения предложений.😊", + "ru|Extra Options": "Дополнительные параметры", + "ru|Ebook Translation option": "Опция перевода электронной книги", + "ru|Output format choices": "Варианты формата вывода", + "ru|Batch ebook folder": "Папка для пакетной обработки электронных книг", + "ru|Multiprocessing conversion": "Преобразование с многопроцессорной обработкой", + "ru|Batch ebook folder conversion": "Пакетное преобразование папки электронных книг", + "ru|GPU Device detection": "Обнаружение устройства GPU", + "ru|Denoise any reference audio for upload voice cloning,": "Шумоподавление любого референсного аудио для загруженного клонирования голоса,", + "ru|Custom model upload (XTTSv2 only for now. more on request)": "Загрузка пользовательской модели (пока только XTTSv2. больше по запросу)", + "ru|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Добавить языковую модель европейского португальского хотя бы для xttsv2, fairseq, vits, piper (помощь приветствуется)", + "ru|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Добавить языковую модель синдхи хотя бы для xttsv2, fairseq, vits, piper (помощь приветствуется)", + "ru|Readme Translation": "Перевод Readme", + "ru|🐍 OS Compatibility": "🐍 Совместимость с ОС", + "ru|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Дополнительный избыток для обучения моделей и подобного (все поддерживаемые модели Coqui-tts и piper-tts в одной простой команде) ", + "ru|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "За информацией об этом @DrewThomasson, он сейчас работает над разработкой этого, [репозиторий в разработке здесь](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "ru|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Создать простой в использовании графический интерфейс обучения для всех моделей coqui-tts в обучающих рецептах формата ljspeech [здесь от coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "ru|Python Code normalization information for contributors": "Информация о нормализации кода Python для участников", + "ru|no blank line between code, unless between functions and classes.": "никакой пустой строки между кодом, кроме как между функциями и классами.", + "ru|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "одинарные кавычки используются для всех ключей, кроме dict() и json. dict['key'] всегда вызывается с одинарными кавычками", + "ru|4 spaces indentation, not tab at all": "отступ в 4 пробела, вообще без табуляции", + "ru|strict typing for all functions and its arguments declaration and return values": "строгая типизация для всех функций, а также объявления их аргументов и возвращаемых значений", + "ru|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "никакого пробела между аргументом и его типизацией, никакого пробела между функцией, «->» и возвращаемым значением", + "ru|Example:": "Пример:", + "ru|Hardware donation for beta tests wanted": "Требуется пожертвование оборудования для бета-тестов", + "ru|We accept any kind of hardware to test our development like:": "Мы принимаем любое оборудование для тестирования нашей разработки, например:", + "ru|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson, если вы хотите помочь любым способом! 😃", + "ru|Do you need to rent a GPU to boost service from us?": "Нужно ли вам арендовать GPU для усиления нашего сервиса?", + "ru|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Опрос открыт здесь https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "ru|Special Thanks": "Особая благодарность", + "ru|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 за лучший метод сохранения глав](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "ru|TTS engines": "Двигатели TTS", + "ru|XTTSv2": "XTTSv2", + "ru|Bark": "Кора", + "ru|Fairseq": "Fairseq", + "ru|VITS": "ВИТС", + "ru|Tacotron2": "Tacotron2", + "ru|YourTTS": "YourTTS", + "ru|Tortoise": "Черепаха", + "ru|GlowTTS": "GlowTTS", + "ru|Piper": "Piper", + "ru|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "ru|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "ru|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "ru|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "ru|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "ru|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "ru|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "ru|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "ru|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "ru|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "ru|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "ru|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "ru|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "ru|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "ru|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "ru|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "ru|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "ru|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "ru|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "nl|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU-converter van e-book naar audioboek met hoofdstukken en metadata<br/>", + "nl|using advanced TTS engines and much more.<br/>": "met geavanceerde TTS-engines en nog veel meer.<br/>", + "nl|Supports voice cloning and 1158 languages!": "Ondersteunt stemklonen en 1158 talen!", + "nl|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Deze tool is uitsluitend bedoeld voor gebruik met DRM-vrije, legaal verkregen e-books.** <br>", + "nl|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "De auteurs zijn niet verantwoordelijk voor enig misbruik van deze software of voor eventuele juridische gevolgen daarvan. <br>", + "nl|Use this tool responsibly and in accordance with all applicable laws.": "Gebruik deze tool verantwoord en in overeenstemming met alle toepasselijke wetten.", + "nl|Thanks to support ebook2audiobook developers!": "Bedankt voor het steunen van de ontwikkelaars van ebook2audiobook!", + "nl|Run locally": "Lokaal uitvoeren", + "nl|Run Remotely": "Op afstand uitvoeren", + "nl|GUI Interface": "Grafische interface (GUI)", + "nl|<summary>Click to see images of Web GUI</summary>": "<summary>Klik om afbeeldingen van de web-GUI te zien</summary>", + "nl|Demos": "Demo's", + "nl|**New Default Voice Demo** ": "**Demo van de nieuwe standaardstem** ", + "nl|<summary>More Demos</summary>": "<summary>Meer demo's</summary>", + "nl|**ASMR Voice** ": "**ASMR-stem** ", + "nl|**Rainy Day Voice** ": "**Regenachtige-dag-stem** ", + "nl|**Scarlett Voice**": "**Scarlett-stem**", + "nl|**David Attenborough Voice** ": "**David Attenborough-stem** ", + "nl|**Example**": "**Voorbeeld**", + "nl|Table of Contents": "Inhoudsopgave", + "nl|[Features](#features)": "[Functies](#features)", + "nl|[GUI Interface](#gui-interface)": "[Grafische interface](#gui-interface)", + "nl|[Demos](#demos)": "[Demo's](#demos)", + "nl|[Supported Languages](#supported-languages)": "[Ondersteunde talen](#supported-languages)", + "nl|[Minimum Requirements](#hardware-requirements)": "[Minimale vereisten](#hardware-requirements)", + "nl|[Usage](#instructions)": "[Gebruik](#instructions)", + "nl|[Run Locally](#instructions)": "[Lokaal uitvoeren](#instructions)", + "nl|[Launching Gradio Web Interface](#instructions)": "[De Gradio-webinterface starten](#instructions)", + "nl|[Basic Headless Usage](#basic-usage)": "[Basisgebruik in headless-modus](#basic-usage)", + "nl|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Gebruik van aangepast XTTS-model in headless-modus](#example-of-custom-model-zip-upload)", + "nl|[Help command output](#help-command-output)": "[Uitvoer van het helpcommando](#help-command-output)", + "nl|[Run Remotely](#run-remotely)": "[Op afstand uitvoeren](#run-remotely)", + "nl|[Steps to Run](#docker)": "[Stappen om uit te voeren](#docker)", + "nl|[Common Docker Issues](#common-docker-issues)": "[Veelvoorkomende Docker-problemen](#common-docker-issues)", + "nl|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Fijnafgestelde TTS-modellen](#fine-tuned-tts-models)", + "nl|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Collectie van fijnafgestelde TTS-modellen](#fine-tuned-tts-collection)", + "nl|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 trainen](#fine-tune-your-own-xttsv2-model)", + "nl|[Supported eBook Formats](#supported-ebook-formats)": "[Ondersteunde e-bookformaten](#supported-ebook-formats)", + "nl|[Output Formats](#output-and-process-formats)": "[Uitvoerformaten](#output-and-process-formats)", + "nl|[Revert to older Version](#reverting-to-older-versions)": "[Terugkeren naar een oudere versie](#reverting-to-older-versions)", + "nl|[Common Issues](#common-issues)": "[Veelvoorkomende problemen](#common-issues)", + "nl|[Special Thanks](#special-thanks)": "[Speciale dank](#special-thanks)", + "nl|[Table of Contents](#table-of-contents)": "[Inhoudsopgave](#table-of-contents)", + "nl|Features": "Functies", + "nl|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Ondersteunde TTS-engines**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "nl|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Meerdere bestandsformaten converteren**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "nl|💻 **TextArea** to convert directly a short text in audio": "💻 **Tekstvak** om direct een korte tekst naar audio te converteren", + "nl|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR-scanning** voor bestanden met tekstpagina's als afbeeldingen", + "nl|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Hoogwaardige tekst-naar-spraak**, van bijna realtime tot een bijna echte stem", + "nl|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Optioneel stemklonen** met je eigen stembestand", + "nl|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Ondersteunt 1158 talen** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "nl|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Geschikt voor beperkte middelen** — draait op **2 GB RAM / 1 GB VRAM (minimum)**", + "nl|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Uitvoerformaten van het audioboek**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "nl|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML-tags ondersteund** — nauwkeurige controle over onderbrekingen, pauzes, stemwisselingen en meer ([see below](#sml-tags-available))", + "nl|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Optioneel aangepast model** met je eigen getrainde model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "nl|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Fijnafgestelde presetmodellen** getraind door het E2A-team<br/>", + "nl|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Neem contact met ons op als je extra fijnafgestelde modellen nodig hebt, of als je die van jou wilt delen op de officiële presetlijst)</i>", + "nl|Hardware Requirements": "Hardwarevereisten", + "nl|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB aanbevolen.", + "nl|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB aanbevolen.", + "nl|Virtualization enabled if running on windows (Docker only).": "Virtualisatie ingeschakeld bij gebruik op Windows (alleen Docker).", + "nl|MPS (Apple Silicon CPU)": "MPS (Apple Silicon-CPU)", + "nl|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderne TTS-engines zijn erg traag op de CPU, gebruik dus TTS van lagere kwaliteit zoals YourTTS, Tacotron2 enz.</i>", + "nl|Supported Languages": "Ondersteunde talen", + "nl|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 talen en dialecten hier**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "nl|Supported eBook Formats": "Ondersteunde e-bookformaten", + "nl|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Beste resultaten**: `.epub` of `.mobi` voor automatische hoofdstukdetectie", + "nl|Output and process Formats": "Uitvoer- en verwerkingsformaten", + "nl|Process format can be changed in lib/conf.py": "Het verwerkingsformaat kan worden gewijzigd in lib/conf.py", + "nl|SML tags available": "Beschikbare SML-tags", + "nl|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — stilte (willekeurig bereik **0.3–0.6 sec.**)", + "nl|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — stilte (willekeurig bereik **1.0–1.6 sec.**)", + "nl|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — vaste pauze (**N sec.**)", + "nl|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — wissel van stem ten opzichte van de standaard- of in de GUI/CLI geselecteerde stem", + "nl|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Bekijk onze andere repo die gewijd is aan het automatisch toevoegen van SML in je e-book -> [E2A-SML](./tools/E2A-SML)**", + "nl|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Voordat je een installatie- of bugprobleem plaatst, zoek zorgvuldig in het tabblad met open en gesloten issues<br>", + "nl|to be sure your issue does not exist already.**": "om er zeker van te zijn dat je probleem nog niet bestaat.**", + "nl|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Het EPUB-formaat heeft geen enkele standaardstructuur die aangeeft wat een hoofdstuk, alinea, voorwoord enz. is.<br>", + "nl|So you should first remove manually any text you don't want to be converted in audio.**": "Daarom moet je eerst handmatig alle tekst verwijderen die je niet naar audio wilt converteren.**", + "nl|**Install / Run ebook2audiobook**:": "**ebook2audiobook installeren / uitvoeren**:", + "nl|**Mac Launcher** ": "**Mac-launcher** ", + "nl|Double click `Mac Ebook2Audiobook Launcher.command`": "Dubbelklik op `Mac Ebook2Audiobook Launcher.command`", + "nl|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Opmerking voor Windows-gebruikers: scoop wordt geïnstalleerd om ontbrekende programma's te installeren zonder beheerdersrechten.</i>", + "nl|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Open de web-app**: Klik op de URL in de terminal om toegang te krijgen tot de web-app en e-books te converteren. `http://localhost:7860/`", + "nl|**For Public Link**:": "**Voor een openbare link**:", + "nl|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Als het script wordt gestopt en opnieuw uitgevoerd, moet je je Gradio-GUI-interface vernieuwen<br>", + "nl|to let the web page reconnect to the new connection socket.**": "zodat de webpagina opnieuw verbinding kan maken met de nieuwe verbindings-socket.**", + "nl|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Pad naar je e-bookbestand", + "nl|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Bestandspad voor stemklonen (optioneel)", + "nl|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Taalcode in ISO-639-3 (bijv.: ita voor Italiaans, eng voor Engels, deu voor Duits...).<br>", + "nl|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "De standaardtaal is eng en --language is optioneel voor de standaardtaal die is ingesteld in ./lib/lang.py.<br>", + "nl|The ISO-639-1 2 letters codes are also supported.": "De 2-letterige ISO-639-1-codes worden ook ondersteund.", + "nl|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Pad naar het `model_name.zip`-bestand,", + "nl|which must contain (according to the tts engine) all the mandatory files<br>": "dat (afhankelijk van de TTS-engine) alle verplichte bestanden moet bevatten<br>", + "nl|(see ./lib/models.py).": "(zie ./lib/models.py).", + "nl|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "OPMERKING: in gradio/gui-modus klik je gewoon op de [X] van de e-book-uploadcomponent om een lopende conversie te annuleren.", + "nl|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIP: als er wat meer pauze nodig is, voeg dan '[pause:3]' toe voor 3 sec. enz.", + "nl|Common Docker Issues": "Veelvoorkomende Docker-problemen", + "nl|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Mijn NVIDIA-GPU wordt niet gedetecteerd?? -> [Wikipagina GPU-PROBLEMEN](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "nl|Fine Tuned TTS models": "Fijnafgestelde (fine-tuned) TTS-modellen", + "nl|Fine Tune your own XTTSv2 model": "Stel je eigen XTTSv2-model fijn af", + "nl|De-noise training data": "Ruis verwijderen uit trainingsdata", + "nl|Fine Tuned TTS Collection": "Collectie van fijnafgestelde TTS-modellen", + "nl|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Voor een aangepast XTTSv2-model is een referentie-audiofragment van de stem verplicht:", + "nl|Your own Ebook2Audiobook customization": "Je eigen Ebook2Audiobook-aanpassing", + "nl|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Je bent vrij om libs/conf.py aan te passen om de gewenste instellingen toe te voegen of te verwijderen. Als je dit van plan bent, maak dan gewoon", + "nl|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "een kopie van de originele conf.py, zodat je bij elke ebook2audiobook-update je gewijzigde conf.py kunt back-uppen en de", + "nl|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "originele kunt terugzetten. Je moet hetzelfde proces plannen voor models.py. Als je van je eigen aangepaste model", + "nl|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "een officieel fijnafgesteld ebook2audiobook-model wilt maken, neem dan contact met ons op en we voegen het toe aan de presetlijst.", + "nl|Common Issues:": "Veelvoorkomende problemen:", + "nl|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Mijn NVIDIA/ROCm/XPU/MPS-GPU wordt niet gedetecteerd?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "nl|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "De CPU is traag (beter op een server-SMP-CPU), terwijl de GPU een bijna realtime conversie kan bereiken.", + "nl|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Het heeft echter geen zero-shot stemklonen, en de stemmen zijn van Siri-kwaliteit, maar het is veel sneller op de CPU).", + "nl|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Ik heb problemen met afhankelijkheden\" - Gebruik gewoon Docker, het is volledig zelfstandig en heeft een headless-modus,", + "nl|add `--help` parameter at the end of the docker run command for more information.": "voeg de parameter `--help` toe aan het einde van het docker run-commando voor meer informatie.", + "nl|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Ik heb een probleem met afgekapte audio!\" - MAAK HIER ALSJEBLIEFT EEN ISSUE VAN,", + "nl|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "we spreken niet elke taal en hebben advies van gebruikers nodig om de logica voor het splitsen van zinnen te verfijnen.😊", + "nl|All Features open to public Contributions ⭐": "Alle functies open voor publieke bijdragen ⭐", + "nl|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Alle hulp van mensen die een van de ondersteunde talen spreken om ons te helpen de modellen te verbeteren ⭐", + "nl|Preview Blocks/Chapters before to start the conversion": "Blokken/hoofdstukken bekijken voordat de conversie start", + "nl|Edit by sentence converted for surgical text change": "Bewerken per geconverteerde zin voor chirurgische tekstwijziging", + "nl|SML tags integration for voice, pause, break, and more changes ": "SML-tag-integratie voor stem, pauze, onderbreking en meer wijzigingen ", + "nl|-h -help parameter info in different languages": "Info over de parameters -h -help in verschillende talen", + "nl|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR-scanning voor PDF / JPG / BMP / PNG / TIFF", + "nl|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks-map [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "nl|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Ervoor zorgen dat het splitsen van Chinese tekst geen woorden splitst en de timing van pauzes verbeteren [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "nl|Kaggle Notebook": "Kaggle-notebook", + "nl|Google Colab Notebook": "Google Colab-notebook", + "nl|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Een iOS-app maken](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "nl|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Een Android-app maken](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "nl|Audiobookshelf integration": "Audiobookshelf-integratie", + "nl|Extra Options": "Extra opties", + "nl|Ebook Translation option": "Optie voor e-bookvertaling", + "nl|Output format choices": "Keuzes voor uitvoerformaat", + "nl|Batch ebook folder": "Batch e-bookmap", + "nl|Multiprocessing conversion": "Conversie met multiprocessing", + "nl|Batch ebook folder conversion": "Batchconversie van een e-bookmap", + "nl|GPU Device detection": "GPU-apparaatdetectie", + "nl|Denoise any reference audio for upload voice cloning,": "Ruis verwijderen uit elke referentie-audio voor het uploaden van stemklonen,", + "nl|Custom model upload (XTTSv2 only for now. more on request)": "Upload van aangepast model (voorlopig alleen XTTSv2. meer op aanvraag)", + "nl|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Een Europees-Portugees taalmodel toevoegen voor ten minste xttsv2, fairseq, vits, piper (hulp welkom)", + "nl|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Een Sindhi-taalmodel toevoegen voor ten minste xttsv2, fairseq, vits, piper (hulp welkom)", + "nl|Readme Translation": "Readme-vertaling", + "nl|🐍 OS Compatibility": "🐍 Compatibiliteit met besturingssystemen", + "nl|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra overkill voor het trainen van modellen en dergelijke (alle ondersteunde Coqui-tts-modellen en piper-tts in één eenvoudige opdracht) ", + "nl|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Voor informatie hierover: @DrewThomasson werkt momenteel aan de ontwikkeling hiervan, [work-in-progress-repo hier](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "nl|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Een gebruiksvriendelijke trainings-GUI maken voor alle coqui-tts-modellen in de ljspeech-formaat trainingsrecepten [hier van coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "nl|Python Code normalization information for contributors": "Informatie over Python-codenormalisatie voor bijdragers", + "nl|no blank line between code, unless between functions and classes.": "geen lege regel tussen de code, behalve tussen functies en klassen.", + "nl|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "enkele aanhalingstekens gebruikt voor alle sleutels behalve voor dict() en json. dict['key'] altijd aangeroepen met enkele aanhalingstekens", + "nl|4 spaces indentation, not tab at all": "4 spaties inspringing, helemaal geen tabs", + "nl|strict typing for all functions and its arguments declaration and return values": "strikte typering voor alle functies en de declaratie van hun argumenten en retourwaarden", + "nl|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "geen spatie tussen het argument en de typering ervan, geen spatie tussen de functie, de \"->\" en de retourwaarde", + "nl|Example:": "Voorbeeld:", + "nl|Hardware donation for beta tests wanted": "Hardwaredonatie voor bètatests gezocht", + "nl|We accept any kind of hardware to test our development like:": "We accepteren elk soort hardware om onze ontwikkeling te testen, zoals:", + "nl|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson als je op welke manier dan ook wilt helpen! 😃", + "nl|Do you need to rent a GPU to boost service from us?": "Moet je een GPU huren om onze service te versnellen?", + "nl|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Er is hier een peiling geopend https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "nl|Special Thanks": "Speciale dank", + "nl|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 voor een betere methode om hoofdstukken op te slaan](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "nl|TTS engines": "TTS-motoren", + "nl|XTTSv2": "XTTSv2", + "nl|Bark": "Blaffen", + "nl|Fairseq": "Fairseq", + "nl|VITS": "VITS", + "nl|Tacotron2": "Tacotron2", + "nl|YourTTS": "YourTTS", + "nl|Tortoise": "Schildpad", + "nl|GlowTTS": "GlowTTS", + "nl|Piper": "Piper", + "nl|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "nl|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "nl|fish-speech (https://github.com/fishaudio/fish-speech)": "vis-spraak (https://github.com/fishaudio/fish-speech)", + "nl|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "nl|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "nl|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "nl|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "nl|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "nl|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "nl|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "nl|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "nl|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "nl|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "nl|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "nl|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Stijl-TTS2 (https://github.com/yl4579/StyleTTS2)", + "nl|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "nl|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "nl|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "nl|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "cs|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU převodník z e-knihy na audioknihu s kapitolami a metadaty<br/>", + "cs|using advanced TTS engines and much more.<br/>": "s využitím pokročilých TTS enginů a mnoha dalšího.<br/>", + "cs|Supports voice cloning and 1158 languages!": "Podporuje klonování hlasu a 1158 jazyků!", + "cs|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Tento nástroj je určen pouze pro použití s e-knihami bez DRM, získanými legálně.** <br>", + "cs|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Autoři nenesou odpovědnost za jakékoli zneužití tohoto softwaru ani za případné právní následky. <br>", + "cs|Use this tool responsibly and in accordance with all applicable laws.": "Používejte tento nástroj zodpovědně a v souladu se všemi platnými zákony.", + "cs|Thanks to support ebook2audiobook developers!": "Děkujeme za podporu vývojářů ebook2audiobook!", + "cs|Run locally": "Spuštění lokálně", + "cs|Run Remotely": "Spuštění vzdáleně", + "cs|GUI Interface": "Grafické rozhraní (GUI)", + "cs|<summary>Click to see images of Web GUI</summary>": "<summary>Klikněte pro zobrazení obrázků webového GUI</summary>", + "cs|Demos": "Ukázky", + "cs|**New Default Voice Demo** ": "**Ukázka nového výchozího hlasu** ", + "cs|<summary>More Demos</summary>": "<summary>Více ukázek</summary>", + "cs|**ASMR Voice** ": "**Hlas ASMR** ", + "cs|**Rainy Day Voice** ": "**Hlas deštivého dne** ", + "cs|**Scarlett Voice**": "**Hlas Scarlett**", + "cs|**David Attenborough Voice** ": "**Hlas Davida Attenborougha** ", + "cs|**Example**": "**Příklad**", + "cs|Table of Contents": "Obsah", + "cs|[Features](#features)": "[Funkce](#features)", + "cs|[GUI Interface](#gui-interface)": "[Grafické rozhraní](#gui-interface)", + "cs|[Demos](#demos)": "[Ukázky](#demos)", + "cs|[Supported Languages](#supported-languages)": "[Podporované jazyky](#supported-languages)", + "cs|[Minimum Requirements](#hardware-requirements)": "[Minimální požadavky](#hardware-requirements)", + "cs|[Usage](#instructions)": "[Použití](#instructions)", + "cs|[Run Locally](#instructions)": "[Spuštění lokálně](#instructions)", + "cs|[Launching Gradio Web Interface](#instructions)": "[Spuštění webového rozhraní Gradio](#instructions)", + "cs|[Basic Headless Usage](#basic-usage)": "[Základní použití v režimu headless](#basic-usage)", + "cs|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Použití vlastního modelu XTTS v režimu headless](#example-of-custom-model-zip-upload)", + "cs|[Help command output](#help-command-output)": "[Výstup příkazu nápovědy](#help-command-output)", + "cs|[Run Remotely](#run-remotely)": "[Spuštění vzdáleně](#run-remotely)", + "cs|[Steps to Run](#docker)": "[Kroky ke spuštění](#docker)", + "cs|[Common Docker Issues](#common-docker-issues)": "[Časté problémy s Dockerem](#common-docker-issues)", + "cs|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Doladěné TTS modely](#fine-tuned-tts-models)", + "cs|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Kolekce doladěných TTS modelů](#fine-tuned-tts-collection)", + "cs|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Trénování XTTSv2](#fine-tune-your-own-xttsv2-model)", + "cs|[Supported eBook Formats](#supported-ebook-formats)": "[Podporované formáty e-knih](#supported-ebook-formats)", + "cs|[Output Formats](#output-and-process-formats)": "[Výstupní formáty](#output-and-process-formats)", + "cs|[Revert to older Version](#reverting-to-older-versions)": "[Návrat ke starší verzi](#reverting-to-older-versions)", + "cs|[Common Issues](#common-issues)": "[Časté problémy](#common-issues)", + "cs|[Special Thanks](#special-thanks)": "[Zvláštní poděkování](#special-thanks)", + "cs|[Table of Contents](#table-of-contents)": "[Obsah](#table-of-contents)", + "cs|Features": "Funkce", + "cs|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Podporované TTS enginy**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "cs|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Převod více formátů souborů**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "cs|💻 **TextArea** to convert directly a short text in audio": "💻 **Textové pole** pro přímý převod krátkého textu na zvuk", + "cs|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR skenování** pro soubory s textovými stránkami ve formě obrázků", + "cs|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Vysoce kvalitní převod textu na řeč**, od téměř reálného času po téměř skutečný hlas", + "cs|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Volitelné klonování hlasu** pomocí vlastního hlasového souboru", + "cs|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Podporuje 1158 jazyků** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "cs|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Vhodné pro omezené zdroje** — běží na **2 GB RAM / 1 GB VRAM (minimum)**", + "cs|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Výstupní formáty audioknihy**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "cs|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Podpora SML tagů** — jemné ovládání přerušení, pauz, přepínání hlasu a dalšího ([see below](#sml-tags-available))", + "cs|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Volitelný vlastní model** pomocí vašeho vlastního natrénovaného modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "cs|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Doladěné přednastavené modely** natrénované týmem E2A<br/>", + "cs|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kontaktujte nás, pokud potřebujete další doladěné modely, nebo pokud chcete sdílet ty své v oficiálním seznamu předvoleb)</i>", + "cs|Hardware Requirements": "Hardwarové požadavky", + "cs|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB doporučeno.", + "cs|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB doporučeno.", + "cs|Virtualization enabled if running on windows (Docker only).": "Povolená virtualizace při spuštění ve Windows (pouze Docker).", + "cs|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "cs|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderní TTS enginy jsou na CPU velmi pomalé, používejte tedy TTS nižší kvality jako YourTTS, Tacotron2 atd.</i>", + "cs|Supported Languages": "Podporované jazyky", + "cs|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 jazyků a dialektů zde**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "cs|Supported eBook Formats": "Podporované formáty e-knih", + "cs|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Nejlepší výsledky**: `.epub` nebo `.mobi` pro automatickou detekci kapitol", + "cs|Output and process Formats": "Formáty výstupu a zpracování", + "cs|Process format can be changed in lib/conf.py": "Formát zpracování lze změnit v lib/conf.py", + "cs|SML tags available": "Dostupné SML tagy", + "cs|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — ticho (náhodný rozsah **0.3–0.6 sec.**)", + "cs|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — ticho (náhodný rozsah **1.0–1.6 sec.**)", + "cs|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pevná pauza (**N sec.**)", + "cs|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — přepnutí hlasu z výchozího nebo vybraného hlasu z GUI/CLI", + "cs|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Podívejte se na náš další repozitář věnovaný automatickému přidávání SML do vaší e-knihy -> [E2A-SML](./tools/E2A-SML)**", + "cs|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Než nahlásíte problém s instalací nebo chybu, pečlivě prohledejte záložku otevřených a uzavřených issues<br>", + "cs|to be sure your issue does not exist already.**": "abyste se ujistili, že váš problém ještě neexistuje.**", + "cs|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Formát EPUB postrádá jakoukoli standardní strukturu definující, co je kapitola, odstavec, předmluva atd.<br>", + "cs|So you should first remove manually any text you don't want to be converted in audio.**": "Proto byste měli nejprve ručně odstranit veškerý text, který nechcete převádět na zvuk.**", + "cs|**Install / Run ebook2audiobook**:": "**Nainstalujte / Spusťte ebook2audiobook**:", + "cs|**Mac Launcher** ": "**Spouštěč pro Mac** ", + "cs|Double click `Mac Ebook2Audiobook Launcher.command`": "Dvakrát klikněte na `Mac Ebook2Audiobook Launcher.command`", + "cs|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Poznámka pro uživatele Windows: pro instalaci chybějících programů bez administrátorských oprávnění se instaluje scoop.</i>", + "cs|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Otevřete webovou aplikaci**: Klikněte na adresu URL uvedenou v terminálu pro přístup k webové aplikaci a převod e-knih. `http://localhost:7860/`", + "cs|**For Public Link**:": "**Pro veřejný odkaz**:", + "cs|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Pokud je skript zastaven a znovu spuštěn, musíte obnovit své grafické rozhraní Gradio<br>", + "cs|to let the web page reconnect to the new connection socket.**": "aby se webová stránka mohla znovu připojit k novému připojovacímu socketu.**", + "cs|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Cesta k souboru vaší e-knihy", + "cs|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Cesta k souboru pro klonování hlasu (volitelné)", + "cs|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Kód jazyka v ISO-639-3 (např.: ita pro italštinu, eng pro angličtinu, deu pro němčinu...).<br>", + "cs|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Výchozí jazyk je eng a --language je volitelný pro výchozí jazyk nastavený v ./lib/lang.py.<br>", + "cs|The ISO-639-1 2 letters codes are also supported.": "Podporovány jsou také dvoupísmenné kódy ISO-639-1.", + "cs|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Cesta k souboru `model_name.zip`,", + "cs|which must contain (according to the tts engine) all the mandatory files<br>": "který musí obsahovat (podle TTS enginu) všechny povinné soubory<br>", + "cs|(see ./lib/models.py).": "(viz ./lib/models.py).", + "cs|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "POZNÁMKA: v režimu gradio/gui zrušíte probíhající převod jednoduše kliknutím na [X] v komponentě pro nahrání e-knihy.", + "cs|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIP: pokud je potřeba o něco delší pauza, přidejte '[pause:3]' pro 3 s atd.", + "cs|Common Docker Issues": "Časté problémy s Dockerem", + "cs|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moje GPU NVIDIA není detekováno?? -> [Wiki stránka PROBLÉMY S GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "cs|Fine Tuned TTS models": "Doladěné (fine-tuned) TTS modely", + "cs|Fine Tune your own XTTSv2 model": "Dolaďte svůj vlastní model XTTSv2", + "cs|De-noise training data": "Odšumění tréninkových dat", + "cs|Fine Tuned TTS Collection": "Kolekce doladěných TTS modelů", + "cs|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Pro vlastní model XTTSv2 je povinný referenční zvukový klip hlasu:", + "cs|Your own Ebook2Audiobook customization": "Vaše vlastní úprava Ebook2Audiobook", + "cs|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Můžete libovolně upravovat libs/conf.py a přidávat či odebírat nastavení, která chcete. Pokud to plánujete, jednoduše si udělejte", + "cs|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "kopii původního conf.py, abyste při každé aktualizaci ebook2audiobook mohli zazálohovat svůj upravený conf.py a vrátit", + "cs|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "původní. Stejný postup musíte naplánovat i pro models.py. Pokud chcete ze svého vlastního modelu", + "cs|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "udělat oficiální doladěný model ebook2audiobook, kontaktujte nás a my jej přidáme do seznamu předvoleb.", + "cs|Common Issues:": "Časté problémy:", + "cs|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moje GPU NVIDIA/ROCm/XPU/MPS není detekováno?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "cs|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU je pomalé (lepší na serverovém SMP CPU), zatímco GPU může mít téměř převod v reálném čase.", + "cs|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Nemá však klonování hlasu zero-shot a hlasy jsou kvality Siri, ale na CPU je mnohem rychlejší).", + "cs|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Mám problémy se závislostmi“ - Použijte prostě Docker, je zcela samostatný a má režim headless,", + "cs|add `--help` parameter at the end of the docker run command for more information.": "pro více informací přidejte na konec příkazu docker run parametr `--help`.", + "cs|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Mám problém s oříznutým zvukem!“ - PROSÍM, NAHLASTE TO JAKO ISSUE,", + "cs|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "nemluvíme každým jazykem a potřebujeme rady uživatelů, abychom doladili logiku dělení vět.😊", + "cs|***** ROADMAP *****": "***** PLÁN ROZVOJE *****", + "cs|All Features open to public Contributions ⭐": "Všechny funkce otevřené veřejným příspěvkům ⭐", + "cs|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Jakákoli pomoc od lidí mluvících některým z podporovaných jazyků, aby nám pomohli vylepšit modely ⭐", + "cs|Preview Blocks/Chapters before to start the conversion": "Náhled bloků/kapitol před zahájením převodu", + "cs|Edit by sentence converted for surgical text change": "Úprava po převedené větě pro chirurgickou změnu textu", + "cs|SML tags integration for voice, pause, break, and more changes ": "Integrace SML tagů pro hlas, pauzu, přerušení a další změny ", + "cs|-h -help parameter info in different languages": "Informace o parametrech -h -help v různých jazycích", + "cs|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR skenování pro PDF / JPG / BMP / PNG / TIFF", + "cs|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Složka notebooků [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "cs|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Zajistit, aby dělení čínského textu nerozdělovalo slova, a zlepšit načasování pauz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "cs|Kaggle Notebook": "Notebook Kaggle", + "cs|Google Colab Notebook": "Notebook Google Colab", + "cs|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Vytvořit aplikaci pro iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "cs|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Vytvořit aplikaci pro Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "cs|Audiobookshelf integration": "Integrace s Audiobookshelf", + "cs|Extra Options": "Další možnosti", + "cs|Ebook Translation option": "Možnost překladu e-knihy", + "cs|Output format choices": "Možnosti výstupního formátu", + "cs|Batch ebook folder": "Dávková složka e-knih", + "cs|Multiprocessing conversion": "Převod s multiprocessingem", + "cs|Batch ebook folder conversion": "Dávkový převod složky e-knih", + "cs|GPU Device detection": "Detekce zařízení GPU", + "cs|Denoise any reference audio for upload voice cloning,": "Odšumění libovolného referenčního zvuku pro nahrané klonování hlasu,", + "cs|Custom model upload (XTTSv2 only for now. more on request)": "Nahrání vlastního modelu (zatím pouze XTTSv2. více na vyžádání)", + "cs|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Přidat jazykový model evropské portugalštiny alespoň pro xttsv2, fairseq, vits, piper (pomoc vítána)", + "cs|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Přidat jazykový model sindhštiny alespoň pro xttsv2, fairseq, vits, piper (pomoc vítána)", + "cs|Readme Translation": "Překlad souboru Readme", + "cs|🐍 OS Compatibility": "🐍 Kompatibilita operačních systémů", + "cs|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra nadstandard pro trénování modelů a podobně (všechny podporované modely Coqui-tts a piper-tts v jednom snadném příkazu) ", + "cs|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Pro informace o tomto: @DrewThomasson na tom v současné době pracuje, [repozitář ve vývoji zde](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "cs|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Vytvořit snadno použitelné tréninkové GUI pro všechny modely coqui-tts v tréninkových receptech ve formátu ljspeech [zde od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "cs|Python Code normalization information for contributors": "Informace o normalizaci kódu Python pro přispěvatele", + "cs|no blank line between code, unless between functions and classes.": "žádný prázdný řádek mezi kódem, kromě mezi funkcemi a třídami.", + "cs|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "jednoduché uvozovky použité pro všechny klíče kromě dict() a json. dict['key'] vždy volán s jednoduchými uvozovkami", + "cs|4 spaces indentation, not tab at all": "odsazení 4 mezery, vůbec žádné tabulátory", + "cs|strict typing for all functions and its arguments declaration and return values": "striktní typování pro všechny funkce a deklaraci jejich argumentů a návratových hodnot", + "cs|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "žádná mezera mezi argumentem a jeho typováním, žádná mezera mezi funkcí, „->“ a návratovou hodnotou", + "cs|Example:": "Příklad:", + "cs|Hardware donation for beta tests wanted": "Hledáme darování hardwaru pro beta testy", + "cs|We accept any kind of hardware to test our development like:": "Přijímáme jakýkoli druh hardwaru pro testování našeho vývoje, jako například:", + "cs|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson, pokud chcete jakkoli pomoci! 😃", + "cs|Do you need to rent a GPU to boost service from us?": "Potřebujete pronajmout GPU pro posílení naší služby?", + "cs|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Anketa je otevřena zde https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "cs|Special Thanks": "Zvláštní poděkování", + "cs|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 za lepší metodu ukládání kapitol](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "cs|TTS engines": "Motory TTS", + "cs|XTTSv2": "XTTSv2", + "cs|Bark": "Bark", + "cs|Fairseq": "Fairseq", + "cs|VITS": "VITS", + "cs|Tacotron2": "Tacotron2", + "cs|YourTTS": "YourTTS", + "cs|Tortoise": "Želvovití", + "cs|GlowTTS": "GlowTTS", + "cs|Piper": "Piper", + "cs|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SOVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "cs|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "cs|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "cs|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "cs|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "cs|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "cs|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "cs|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "cs|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "cs|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "cs|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "cs|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "cs|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "cs|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "cs|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Styl-TTS2 (https://github.com/yl4579/StyleTTS2)", + "cs|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "cs|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "cs|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "cs|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "ja|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "電子書籍から章とメタデータ付きのオーディオブックへのCPU/GPUコンバーター<br/>", + "ja|using advanced TTS engines and much more.<br/>": "高度なTTSエンジンなどを使用。<br/>", + "ja|Supports voice cloning and 1158 languages!": "音声クローンと1158言語に対応!", + "ja|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**このツールは、DRMフリーで合法的に取得された電子書籍でのみ使用することを目的としています。** <br>", + "ja|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "作者は、このソフトウェアのいかなる誤用、またはそれに起因する法的結果について責任を負いません。 <br>", + "ja|Use this tool responsibly and in accordance with all applicable laws.": "このツールは責任を持って、適用されるすべての法律に従って使用してください。", + "ja|Thanks to support ebook2audiobook developers!": "ebook2audiobookの開発者を支援していただきありがとうございます!", + "ja|Run locally": "ローカルで実行", + "ja|Run Remotely": "リモートで実行", + "ja|GUI Interface": "グラフィカルインターフェース(GUI)", + "ja|<summary>Click to see images of Web GUI</summary>": "<summary>WebのGUI画像を見るにはクリック</summary>", + "ja|Demos": "デモ", + "ja|**New Default Voice Demo** ": "**新しいデフォルト音声のデモ** ", + "ja|<summary>More Demos</summary>": "<summary>その他のデモ</summary>", + "ja|**ASMR Voice** ": "**ASMR音声** ", + "ja|**Rainy Day Voice** ": "**雨の日の音声** ", + "ja|**Scarlett Voice**": "**スカーレットの音声**", + "ja|**David Attenborough Voice** ": "**デイヴィッド・アッテンボローの音声** ", + "ja|**Example**": "**例**", + "ja|Table of Contents": "目次", + "ja|[Features](#features)": "[機能](#features)", + "ja|[GUI Interface](#gui-interface)": "[グラフィカルインターフェース](#gui-interface)", + "ja|[Demos](#demos)": "[デモ](#demos)", + "ja|[Supported Languages](#supported-languages)": "[対応言語](#supported-languages)", + "ja|[Minimum Requirements](#hardware-requirements)": "[最小要件](#hardware-requirements)", + "ja|[Usage](#instructions)": "[使い方](#instructions)", + "ja|[Run Locally](#instructions)": "[ローカルで実行](#instructions)", + "ja|[Launching Gradio Web Interface](#instructions)": "[Gradio Webインターフェースの起動](#instructions)", + "ja|[Basic Headless Usage](#basic-usage)": "[基本的なHeadlessの使い方](#basic-usage)", + "ja|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[HeadlessでのカスタムXTTSモデルの使い方](#example-of-custom-model-zip-upload)", + "ja|[Help command output](#help-command-output)": "[ヘルプコマンドの出力](#help-command-output)", + "ja|[Run Remotely](#run-remotely)": "[リモートで実行](#run-remotely)", + "ja|[Steps to Run](#docker)": "[実行手順](#docker)", + "ja|[Common Docker Issues](#common-docker-issues)": "[よくあるDockerの問題](#common-docker-issues)", + "ja|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[ファインチューニング済みTTSモデル](#fine-tuned-tts-models)", + "ja|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[ファインチューニング済みTTSモデルのコレクション](#fine-tuned-tts-collection)", + "ja|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2の学習](#fine-tune-your-own-xttsv2-model)", + "ja|[Supported eBook Formats](#supported-ebook-formats)": "[対応する電子書籍形式](#supported-ebook-formats)", + "ja|[Output Formats](#output-and-process-formats)": "[出力形式](#output-and-process-formats)", + "ja|[Revert to older Version](#reverting-to-older-versions)": "[古いバージョンに戻す](#reverting-to-older-versions)", + "ja|[Common Issues](#common-issues)": "[よくある問題](#common-issues)", + "ja|[Special Thanks](#special-thanks)": "[特別な感謝](#special-thanks)", + "ja|[Table of Contents](#table-of-contents)": "[目次](#table-of-contents)", + "ja|Features": "機能", + "ja|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **対応TTSエンジン**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "ja|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **複数のファイル形式を変換**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "ja|💻 **TextArea** to convert directly a short text in audio": "💻 短いテキストを直接音声に変換する**テキストエリア**", + "ja|🔍 **OCR scanning** for files with text pages as images": "🔍 画像としてのテキストページを含むファイル向けの**OCRスキャン**", + "ja|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **高品質なテキスト読み上げ**、ほぼリアルタイムからほぼ本物の音声まで", + "ja|🗣️ **Optional voice cloning** using your own voice file": "🗣️ 独自の音声ファイルを使用した**任意の音声クローン**", + "ja|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **1158言語に対応** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "ja|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **低リソースに優しい** — **2 GB RAM / 1 GB VRAM(最小)**で動作", + "ja|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **オーディオブックの出力形式**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "ja|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SMLタグ対応** — 中断、一時停止、音声切り替えなどのきめ細かな制御 ([see below](#sml-tags-available))", + "ja|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 独自の学習済みモデルを使用した**任意のカスタムモデル** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "ja|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ E2Aチームによって学習された**ファインチューニング済みプリセットモデル**<br/>", + "ja|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(追加のファインチューニング済みモデルが必要な場合、または公式プリセットリストにご自身のものを共有したい場合はご連絡ください)</i>", + "ja|Hardware Requirements": "ハードウェア要件", + "ja|2GB RAM min, 8GB recommended.": "RAM 2GB以上、8GB推奨。", + "ja|1GB VRAM min, 4GB recommended.": "VRAM 1GB以上、4GB推奨。", + "ja|Virtualization enabled if running on windows (Docker only).": "Windowsで実行する場合は仮想化を有効化(Dockerのみ)。", + "ja|CPU, XPU (intel, AMD, ARM)*.": "CPU、XPU(intel、AMD、ARM)*。", + "ja|CUDA, ROCm, JETSON": "CUDA、ROCm、JETSON", + "ja|MPS (Apple Silicon CPU)": "MPS(Apple Silicon CPU)", + "ja|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> 最新のTTSエンジンはCPUで非常に遅いため、YourTTS、Tacotron2などの低品質のTTSを使用してください。</i>", + "ja|Supported Languages": "対応言語", + "ja|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130の言語と方言はこちら**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "ja|Supported eBook Formats": "対応する電子書籍形式", + "ja|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**最良の結果**: 自動章検出には`.epub`または`.mobi`", + "ja|Output and process Formats": "出力および処理形式", + "ja|Process format can be changed in lib/conf.py": "処理形式はlib/conf.pyで変更できます", + "ja|SML tags available": "利用可能なSMLタグ", + "ja|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — 無音(ランダム範囲 **0.3–0.6 sec.**)", + "ja|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — 無音(ランダム範囲 **1.0–1.6 sec.**)", + "ja|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — 固定の一時停止(**N sec.**)", + "ja|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — デフォルトまたはGUI/CLIで選択した音声から音声を切り替え", + "ja|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**電子書籍にSMLを自動的に追加することに特化した別のリポジトリをご覧ください -> [E2A-SML](./tools/E2A-SML)**", + "ja|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**インストールやバグの問題を投稿する前に、未解決および解決済みの課題タブを注意深く検索してください<br>", + "ja|to be sure your issue does not exist already.**": "あなたの問題がまだ存在しないことを確認するためです。**", + "ja|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB形式には、章、段落、序文などが何であるかを定義する標準的な構造がありません。<br>", + "ja|So you should first remove manually any text you don't want to be converted in audio.**": "そのため、まず音声に変換したくないテキストを手動で削除する必要があります。**", + "ja|**Install / Run ebook2audiobook**:": "**ebook2audiobookをインストール/実行**:", + "ja|**Mac Launcher** ": "**Macランチャー** ", + "ja|Double click `Mac Ebook2Audiobook Launcher.command`": "`Mac Ebook2Audiobook Launcher.command`をダブルクリック", + "ja|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windowsユーザーへの注意: 管理者権限なしで不足しているプログラムをインストールするためにscoopがインストールされます。</i>", + "ja|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Webアプリを開く**: ターミナルに表示されるURLをクリックして、Webアプリにアクセスし電子書籍を変換します。 `http://localhost:7860/`", + "ja|**For Public Link**:": "**公開リンクの場合**:", + "ja|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**スクリプトを停止して再実行した場合、Gradio GUIインターフェースを更新する必要があります<br>", + "ja|to let the web page reconnect to the new connection socket.**": "Webページが新しい接続ソケットに再接続できるようにするためです。**", + "ja|**[--ebook]**: Path to your eBook file": "**[--ebook]**: 電子書籍ファイルへのパス", + "ja|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: 音声クローンファイルのパス(任意)", + "ja|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: ISO-639-3形式の言語コード(例: イタリア語はita、英語はeng、ドイツ語はdeu...)。<br>", + "ja|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "デフォルト言語はengで、--languageは./lib/lang.pyで設定されたデフォルト言語の場合は任意です。<br>", + "ja|The ISO-639-1 2 letters codes are also supported.": "2文字のISO-639-1コードも対応しています。", + "ja|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: `model_name.zip`ファイルへのパス、", + "ja|which must contain (according to the tts engine) all the mandatory files<br>": "これは(ttsエンジンに応じて)すべての必須ファイルを含む必要があります<br>", + "ja|(see ./lib/models.py).": "(./lib/models.pyを参照)。", + "ja|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "注意: gradio/guiモードでは、実行中の変換をキャンセルするには、電子書籍アップロードコンポーネントの[X]をクリックするだけです。", + "ja|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "ヒント: もう少し長い間を入れたい場合は、3秒の場合'[pause:3]'を追加するなど。", + "ja|Common Docker Issues": "よくあるDockerの問題", + "ja|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "NVIDIA GPUが検出されない?? -> [GPUの問題に関するWikiページ](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ja|Fine Tuned TTS models": "ファインチューニング済み(fine-tuned)TTSモデル", + "ja|Fine Tune your own XTTSv2 model": "独自のXTTSv2モデルをファインチューニング", + "ja|De-noise training data": "学習データのノイズ除去", + "ja|Fine Tuned TTS Collection": "ファインチューニング済みTTSモデルのコレクション", + "ja|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "カスタムXTTSv2モデルには、音声の参照オーディオクリップが必須です:", + "ja|Your own Ebook2Audiobook customization": "独自のEbook2Audiobookカスタマイズ", + "ja|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "libs/conf.pyを自由に変更して、必要な設定を追加または削除できます。これを計画している場合は、単に", + "ja|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "オリジナルのconf.pyのコピーを作成しておけば、ebook2audiobookを更新するたびに変更したconf.pyをバックアップし、", + "ja|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "オリジナルを元に戻すことができます。models.pyについても同じ手順を計画する必要があります。独自のカスタムモデルを", + "ja|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "公式のファインチューニング済みebook2audiobookモデルにしたい場合は、ご連絡いただければプリセットリストに追加します。", + "ja|Common Issues:": "よくある問題:", + "ja|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "NVIDIA/ROCm/XPU/MPS GPUが検出されない?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ja|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPUは遅い(サーバーのSMP CPUの方が良い)一方、GPUはほぼリアルタイムの変換が可能です。", + "ja|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(ただし、zero-shotの音声クローンはなく、Siri品質の音声ですが、cpuでははるかに高速です)。", + "ja|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "「依存関係の問題があります」 - 単にdockerを使ってください、完全に自己完結型でheadlessモードがあります、", + "ja|add `--help` parameter at the end of the docker run command for more information.": "詳細についてはdocker runコマンドの末尾に`--help`パラメータを追加してください。", + "ja|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "「音声が途切れる問題があります!」 - これについてISSUEを作成してください、", + "ja|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "私たちはすべての言語を話せるわけではなく、文の分割ロジックを微調整するためにユーザーのアドバイスが必要です。😊", + "ja|***** ROADMAP *****": "***** ロードマップ *****", + "ja|All Features open to public Contributions ⭐": "すべての機能が公開された貢献に開かれています ⭐", + "ja|Any help from people speaking any of the supported languages to help us improve the models ⭐": "モデルの改善に役立つよう、対応言語のいずれかを話す人々からのあらゆる支援 ⭐", + "ja|Preview Blocks/Chapters before to start the conversion": "変換を開始する前にブロック/章をプレビュー", + "ja|Edit by sentence converted for surgical text change": "外科的なテキスト変更のために変換された文ごとに編集", + "ja|SML tags integration for voice, pause, break, and more changes ": "音声、一時停止、中断、その他の変更のためのSMLタグ統合 ", + "ja|-h -help parameter info in different languages": "さまざまな言語での-h -helpパラメータ情報", + "ja|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "PDF / JPG / BMP / PNG / TIFF向けのOCRスキャン", + "ja|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "ノートブックフォルダ [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "ja|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "中国語のテキスト分割が単語を分割しないようにし、一時停止のタイミングを改善する [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "ja|Kaggle Notebook": "Kaggleノートブック", + "ja|Google Colab Notebook": "Google Colabノートブック", + "ja|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[iOSアプリを作成](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ja|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[androidアプリを作成](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ja|Audiobookshelf integration": "Audiobookshelf統合", + "ja|Extra Options": "追加オプション", + "ja|Ebook Translation option": "電子書籍翻訳オプション", + "ja|Output format choices": "出力形式の選択", + "ja|Batch ebook folder": "バッチ電子書籍フォルダ", + "ja|Multiprocessing conversion": "マルチプロセス変換", + "ja|Batch ebook folder conversion": "バッチ電子書籍フォルダ変換", + "ja|GPU Device detection": "GPUデバイス検出", + "ja|Denoise any reference audio for upload voice cloning,": "アップロードされた音声クローン用に任意の参照オーディオをノイズ除去、", + "ja|Custom model upload (XTTSv2 only for now. more on request)": "カスタムモデルのアップロード(今のところXTTSv2のみ。ご要望に応じて追加)", + "ja|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "少なくともxttsv2、fairseq、vits、piper向けにヨーロッパポルトガル語の言語モデルを追加(支援歓迎)", + "ja|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "少なくともxttsv2、fairseq、vits、piper向けにシンド語の言語モデルを追加(支援歓迎)", + "ja|Readme Translation": "Readmeの翻訳", + "ja|🐍 OS Compatibility": "🐍 OS互換性", + "ja|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "モデルの学習などのための追加のオーバーキル(対応するすべてのCoqui-ttsモデルとpiper-ttsを1つの簡単なコマンドで) ", + "ja|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "これに関する情報は@DrewThomasson、彼は現在この開発に取り組んでいます、[作業中のリポジトリはこちら](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "ja|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ljspeech形式の学習レシピですべてのcoqui-ttsモデル向けに使いやすい学習用guiを作成する [coqui ttsからこちら](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "ja|Python Code normalization information for contributors": "貢献者向けPythonコード正規化情報", + "ja|no blank line between code, unless between functions and classes.": "関数とクラスの間を除いて、コード間に空行なし。", + "ja|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dict()とjsonを除くすべてのキーに単一引用符を使用。dict['key']は常に単一引用符で呼び出す", + "ja|4 spaces indentation, not tab at all": "4スペースのインデント、タブはまったく使わない", + "ja|strict typing for all functions and its arguments declaration and return values": "すべての関数とその引数および戻り値の宣言に対する厳密な型付け", + "ja|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "引数とその型付けの間にスペースなし、関数、「->」、戻り値の間にスペースなし", + "ja|Example:": "例:", + "ja|Hardware donation for beta tests wanted": "ベータテスト用のハードウェア寄付を募集", + "ja|We accept any kind of hardware to test our development like:": "開発のテストのために、以下のようなあらゆる種類のハードウェアを受け付けています:", + "ja|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson どんな形でも手伝いたい方は! 😃", + "ja|Do you need to rent a GPU to boost service from us?": "当サービスを強化するためにGPUをレンタルする必要がありますか?", + "ja|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "アンケートはこちらで公開されています https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "ja|Special Thanks": "特別な感謝", + "ja|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 より良い章保存方法のために](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "ja|TTS engines": "TTSエンジン", + "ja|XTTSv2": "XTTSv 2", + "ja|Bark": "バーク尺度", + "ja|Fairseq": "フェアセック", + "ja|VITS": "VITS", + "ja|Tacotron2": "Tacotron 2", + "ja|YourTTS": "YourTTS", + "ja|Tortoise": "リクガメ科", + "ja|GlowTTS": "GlowTTS", + "ja|Piper": "パイパー", + "ja|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "ja|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "ja|fish-speech (https://github.com/fishaudio/fish-speech)": "fish - speech (https://github.com/fishaudio/fish-speech)", + "ja|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "ja|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "ja|F5-TTS (https://github.com/swivid/f5-tts)": "F 5 - TTS (https://github.com/swivid/f5-tts)", + "ja|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "ja|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "ja|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark - TTS (https://github.com/sparkaudio/spark-tts)", + "ja|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "ja|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "ja|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro - TTS (https://github.com/hexgrad/kokoro)", + "ja|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "ja|Zonos (https://github.com/Zyphra/Zonos)": "ZONOS (https://github.com/Zyphra/Zonos)", + "ja|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style - TTS 2 (https://github.com/yl4579/StyleTTS2)", + "ja|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus - TTS (https://github.com/canopyai/Orpheus-TTS)", + "ja|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "ja|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "ja|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen 3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "hi|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "अध्यायों और मेटाडेटा के साथ ई-बुक से ऑडियोबुक में बदलने वाला CPU/GPU कन्वर्टर<br/>", + "hi|using advanced TTS engines and much more.<br/>": "उन्नत TTS इंजनों आदि का उपयोग करते हुए।<br/>", + "hi|Supports voice cloning and 1158 languages!": "वॉयस क्लोनिंग और 1158 भाषाओं का समर्थन करता है!", + "hi|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**यह टूल केवल DRM-मुक्त, वैध रूप से प्राप्त ई-बुक्स के साथ उपयोग के लिए है।** <br>", + "hi|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "लेखक इस सॉफ़्टवेयर के किसी भी दुरुपयोग या उससे उत्पन्न किसी भी कानूनी परिणाम के लिए ज़िम्मेदार नहीं हैं। <br>", + "hi|Use this tool responsibly and in accordance with all applicable laws.": "इस टूल का उपयोग ज़िम्मेदारी से और सभी लागू कानूनों के अनुपालन में करें।", + "hi|Thanks to support ebook2audiobook developers!": "ebook2audiobook के डेवलपर्स का समर्थन करने के लिए धन्यवाद!", + "hi|Run locally": "स्थानीय रूप से चलाएं", + "hi|Run Remotely": "दूरस्थ रूप से चलाएं", + "hi|GUI Interface": "ग्राफ़िकल इंटरफ़ेस (GUI)", + "hi|<summary>Click to see images of Web GUI</summary>": "<summary>वेब GUI की छवियां देखने के लिए क्लिक करें</summary>", + "hi|Demos": "डेमो", + "hi|**New Default Voice Demo** ": "**नई डिफ़ॉल्ट आवाज़ का डेमो** ", + "hi|<summary>More Demos</summary>": "<summary>और डेमो</summary>", + "hi|**ASMR Voice** ": "**ASMR आवाज़** ", + "hi|**Rainy Day Voice** ": "**बरसात के दिन की आवाज़** ", + "hi|**Scarlett Voice**": "**स्कारलेट आवाज़**", + "hi|**David Attenborough Voice** ": "**डेविड एटनबरो आवाज़** ", + "hi|**Example**": "**उदाहरण**", + "hi|Table of Contents": "विषय-सूची", + "hi|[Features](#features)": "[विशेषताएं](#features)", + "hi|[GUI Interface](#gui-interface)": "[ग्राफ़िकल इंटरफ़ेस](#gui-interface)", + "hi|[Demos](#demos)": "[डेमो](#demos)", + "hi|[Supported Languages](#supported-languages)": "[समर्थित भाषाएं](#supported-languages)", + "hi|[Minimum Requirements](#hardware-requirements)": "[न्यूनतम आवश्यकताएं](#hardware-requirements)", + "hi|[Usage](#instructions)": "[उपयोग](#instructions)", + "hi|[Run Locally](#instructions)": "[स्थानीय रूप से चलाएं](#instructions)", + "hi|[Launching Gradio Web Interface](#instructions)": "[Gradio वेब इंटरफ़ेस लॉन्च करना](#instructions)", + "hi|[Basic Headless Usage](#basic-usage)": "[बुनियादी Headless उपयोग](#basic-usage)", + "hi|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless कस्टम XTTS मॉडल उपयोग](#example-of-custom-model-zip-upload)", + "hi|[Help command output](#help-command-output)": "[सहायता कमांड आउटपुट](#help-command-output)", + "hi|[Run Remotely](#run-remotely)": "[दूरस्थ रूप से चलाएं](#run-remotely)", + "hi|[Steps to Run](#docker)": "[चलाने के चरण](#docker)", + "hi|[Common Docker Issues](#common-docker-issues)": "[सामान्य Docker समस्याएं](#common-docker-issues)", + "hi|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[फ़ाइन-ट्यून किए गए TTS मॉडल](#fine-tuned-tts-models)", + "hi|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[फ़ाइन-ट्यून किए गए TTS मॉडल का संग्रह](#fine-tuned-tts-collection)", + "hi|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 का प्रशिक्षण](#fine-tune-your-own-xttsv2-model)", + "hi|[Supported eBook Formats](#supported-ebook-formats)": "[समर्थित ई-बुक प्रारूप](#supported-ebook-formats)", + "hi|[Output Formats](#output-and-process-formats)": "[आउटपुट प्रारूप](#output-and-process-formats)", + "hi|[Revert to older Version](#reverting-to-older-versions)": "[पुराने संस्करण पर वापस लौटना](#reverting-to-older-versions)", + "hi|[Common Issues](#common-issues)": "[सामान्य समस्याएं](#common-issues)", + "hi|[Special Thanks](#special-thanks)": "[विशेष धन्यवाद](#special-thanks)", + "hi|[Table of Contents](#table-of-contents)": "[विषय-सूची](#table-of-contents)", + "hi|Features": "विशेषताएं", + "hi|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **समर्थित TTS इंजन**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "hi|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **अनेक फ़ाइल प्रारूप परिवर्तित करें**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "hi|💻 **TextArea** to convert directly a short text in audio": "💻 छोटे पाठ को सीधे ऑडियो में बदलने के लिए **पाठ क्षेत्र**", + "hi|🔍 **OCR scanning** for files with text pages as images": "🔍 छवियों के रूप में पाठ पृष्ठों वाली फ़ाइलों के लिए **OCR स्कैनिंग**", + "hi|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **उच्च गुणवत्ता वाला टेक्स्ट-टू-स्पीच**, लगभग वास्तविक समय से लेकर लगभग वास्तविक आवाज़ तक", + "hi|🗣️ **Optional voice cloning** using your own voice file": "🗣️ अपनी स्वयं की आवाज़ फ़ाइल का उपयोग करके **वैकल्पिक वॉयस क्लोनिंग**", + "hi|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **1158 भाषाओं का समर्थन करता है** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "hi|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **कम संसाधन अनुकूल** — **2 GB RAM / 1 GB VRAM (न्यूनतम)** पर चलता है", + "hi|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **ऑडियोबुक आउटपुट प्रारूप**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "hi|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML टैग समर्थित** — रुकावटों, विरामों, आवाज़ बदलने आदि पर सूक्ष्म नियंत्रण ([see below](#sml-tags-available))", + "hi|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 अपने स्वयं के प्रशिक्षित मॉडल का उपयोग करके **वैकल्पिक कस्टम मॉडल** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "hi|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ E2A टीम द्वारा प्रशिक्षित **फ़ाइन-ट्यून किए गए प्रीसेट मॉडल**<br/>", + "hi|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(यदि आपको अतिरिक्त फ़ाइन-ट्यून किए गए मॉडलों की आवश्यकता है, या यदि आप आधिकारिक प्रीसेट सूची में अपने मॉडल साझा करना चाहते हैं, तो हमसे संपर्क करें)</i>", + "hi|Hardware Requirements": "हार्डवेयर आवश्यकताएं", + "hi|2GB RAM min, 8GB recommended.": "RAM 2GB न्यूनतम, 8GB अनुशंसित।", + "hi|1GB VRAM min, 4GB recommended.": "VRAM 1GB न्यूनतम, 4GB अनुशंसित।", + "hi|Virtualization enabled if running on windows (Docker only).": "windows पर चलाने पर वर्चुअलाइज़ेशन सक्षम (केवल Docker)।", + "hi|CPU, XPU (intel, AMD, ARM)*.": "CPU, XPU (intel, AMD, ARM)*।", + "hi|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> आधुनिक TTS इंजन CPU पर बहुत धीमे हैं, इसलिए YourTTS, Tacotron2 आदि जैसे निम्न गुणवत्ता वाले TTS का उपयोग करें।</i>", + "hi|Supported Languages": "समर्थित भाषाएं", + "hi|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 भाषाएं और बोलियां यहां**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "hi|Supported eBook Formats": "समर्थित ई-बुक प्रारूप", + "hi|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**सर्वोत्तम परिणाम**: स्वचालित अध्याय पहचान के लिए `.epub` या `.mobi`", + "hi|Output and process Formats": "आउटपुट और प्रसंस्करण प्रारूप", + "hi|Process format can be changed in lib/conf.py": "प्रसंस्करण प्रारूप को lib/conf.py में बदला जा सकता है", + "hi|SML tags available": "उपलब्ध SML टैग", + "hi|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — मौन (यादृच्छिक सीमा **0.3–0.6 sec.**)", + "hi|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — मौन (यादृच्छिक सीमा **1.0–1.6 sec.**)", + "hi|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — निश्चित विराम (**N sec.**)", + "hi|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — डिफ़ॉल्ट या GUI/CLI से चुनी गई आवाज़ से आवाज़ बदलें", + "hi|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**आपकी ई-बुक में स्वचालित रूप से SML जोड़ने के लिए समर्पित हमारे दूसरे रेपो को देखें -> [E2A-SML](./tools/E2A-SML)**", + "hi|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**इंस्टॉलेशन या बग समस्या पोस्ट करने से पहले, खुली और बंद समस्याओं वाले टैब में सावधानी से खोजें<br>", + "hi|to be sure your issue does not exist already.**": "यह सुनिश्चित करने के लिए कि आपकी समस्या पहले से मौजूद नहीं है।**", + "hi|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB प्रारूप में ऐसी कोई मानक संरचना नहीं है जो परिभाषित करे कि अध्याय, अनुच्छेद, प्रस्तावना आदि क्या हैं।<br>", + "hi|So you should first remove manually any text you don't want to be converted in audio.**": "इसलिए आपको पहले उस सभी पाठ को मैन्युअल रूप से हटा देना चाहिए जिसे आप ऑडियो में नहीं बदलना चाहते।**", + "hi|**Install / Run ebook2audiobook**:": "**ebook2audiobook इंस्टॉल / चलाएं**:", + "hi|**Mac Launcher** ": "**Mac लॉन्चर** ", + "hi|Double click `Mac Ebook2Audiobook Launcher.command`": "`Mac Ebook2Audiobook Launcher.command` पर डबल क्लिक करें", + "hi|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windows उपयोगकर्ताओं के लिए ध्यान दें: व्यवस्थापक विशेषाधिकारों के बिना गुम प्रोग्रामों को इंस्टॉल करने के लिए scoop इंस्टॉल किया जाता है।</i>", + "hi|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**वेब ऐप खोलें**: वेब ऐप तक पहुंचने और ई-बुक्स को बदलने के लिए टर्मिनल में दिए गए URL पर क्लिक करें। `http://localhost:7860/`", + "hi|**For Public Link**:": "**सार्वजनिक लिंक के लिए**:", + "hi|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**यदि स्क्रिप्ट को रोककर फिर से चलाया जाता है, तो आपको अपने Gradio GUI इंटरफ़ेस को रिफ़्रेश करना होगा<br>", + "hi|to let the web page reconnect to the new connection socket.**": "ताकि वेब पेज नए कनेक्शन सॉकेट से फिर से जुड़ सके।**", + "hi|**[--ebook]**: Path to your eBook file": "**[--ebook]**: आपकी ई-बुक फ़ाइल का पथ", + "hi|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: वॉयस क्लोनिंग फ़ाइल पथ (वैकल्पिक)", + "hi|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: ISO-639-3 में भाषा कोड (अर्थात्: इतालवी के लिए ita, अंग्रेज़ी के लिए eng, जर्मन के लिए deu...)।<br>", + "hi|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "डिफ़ॉल्ट भाषा eng है और ./lib/lang.py में सेट की गई डिफ़ॉल्ट भाषा के लिए --language वैकल्पिक है।<br>", + "hi|The ISO-639-1 2 letters codes are also supported.": "2 अक्षर वाले ISO-639-1 कोड भी समर्थित हैं।", + "hi|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: `model_name.zip` फ़ाइल का पथ,", + "hi|which must contain (according to the tts engine) all the mandatory files<br>": "जिसमें (tts इंजन के अनुसार) सभी अनिवार्य फ़ाइलें होनी चाहिए<br>", + "hi|(see ./lib/models.py).": "(देखें ./lib/models.py)।", + "hi|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "ध्यान दें: gradio/gui मोड में, चल रहे रूपांतरण को रद्द करने के लिए, बस ई-बुक अपलोड घटक के [X] पर क्लिक करें।", + "hi|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "सुझाव: यदि थोड़े अधिक विराम की आवश्यकता हो, तो 3 सेकंड के लिए '[pause:3]' जोड़ें आदि।", + "hi|Common Docker Issues": "सामान्य Docker समस्याएं", + "hi|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "मेरा NVIDIA GPU नहीं पहचाना जा रहा?? -> [GPU समस्याएं Wiki पृष्ठ](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hi|Fine Tuned TTS models": "फ़ाइन-ट्यून किए गए (fine-tuned) TTS मॉडल", + "hi|Fine Tune your own XTTSv2 model": "अपना स्वयं का XTTSv2 मॉडल फ़ाइन-ट्यून करें", + "hi|De-noise training data": "प्रशिक्षण डेटा का शोर हटाना", + "hi|Fine Tuned TTS Collection": "फ़ाइन-ट्यून किए गए TTS मॉडल का संग्रह", + "hi|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "कस्टम XTTSv2 मॉडल के लिए, आवाज़ का एक संदर्भ ऑडियो क्लिप अनिवार्य है:", + "hi|Your own Ebook2Audiobook customization": "आपका स्वयं का Ebook2Audiobook अनुकूलन", + "hi|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "आप अपनी इच्छित सेटिंग्स जोड़ने या हटाने के लिए libs/conf.py को स्वतंत्र रूप से संशोधित कर सकते हैं। यदि आप ऐसा करने की योजना बना रहे हैं, तो बस", + "hi|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "मूल conf.py की एक प्रतिलिपि बना लें ताकि प्रत्येक ebook2audiobook अद्यतन पर आप अपने संशोधित conf.py का बैकअप ले सकें और", + "hi|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "मूल को वापस रख सकें। आपको models.py के लिए भी वही प्रक्रिया योजना बनानी होगी। यदि आप अपने स्वयं के कस्टम मॉडल को", + "hi|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "एक आधिकारिक फ़ाइन-ट्यून किया गया ebook2audiobook मॉडल बनाना चाहते हैं, तो कृपया हमसे संपर्क करें और हम इसे प्रीसेट सूची में जोड़ देंगे।", + "hi|Common Issues:": "सामान्य समस्याएं:", + "hi|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "मेरा NVIDIA/ROCm/XPU/MPS GPU नहीं पहचाना जा रहा?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hi|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU धीमा है (सर्वर smp CPU पर बेहतर) जबकि GPU लगभग वास्तविक समय का रूपांतरण कर सकता है।", + "hi|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(हालांकि इसमें zero-shot वॉयस क्लोनिंग नहीं है, और ये Siri गुणवत्ता की आवाज़ें हैं, लेकिन यह cpu पर बहुत तेज़ है)।", + "hi|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"मुझे निर्भरता संबंधी समस्याएं हो रही हैं\" - बस docker का उपयोग करें, यह पूरी तरह से स्वतंत्र है और इसमें headless मोड है,", + "hi|add `--help` parameter at the end of the docker run command for more information.": "अधिक जानकारी के लिए docker run कमांड के अंत में `--help` पैरामीटर जोड़ें।", + "hi|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"मुझे कटे हुए ऑडियो की समस्या हो रही है!\" - कृपया इस बारे में एक ISSUE बनाएं,", + "hi|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "हम हर भाषा नहीं बोलते और वाक्य विभाजन तर्क को बेहतर बनाने के लिए हमें उपयोगकर्ताओं की सलाह की आवश्यकता है।😊", + "hi|***** ROADMAP *****": "***** रोडमैप *****", + "hi|All Features open to public Contributions ⭐": "सभी विशेषताएं सार्वजनिक योगदान के लिए खुली हैं ⭐", + "hi|Any help from people speaking any of the supported languages to help us improve the models ⭐": "मॉडलों को बेहतर बनाने में हमारी मदद करने के लिए किसी भी समर्थित भाषा को बोलने वाले लोगों से कोई भी सहायता ⭐", + "hi|Preview Blocks/Chapters before to start the conversion": "रूपांतरण शुरू करने से पहले ब्लॉक/अध्यायों का पूर्वावलोकन", + "hi|Edit by sentence converted for surgical text change": "सूक्ष्म पाठ परिवर्तन के लिए रूपांतरित वाक्य के अनुसार संपादन", + "hi|SML tags integration for voice, pause, break, and more changes ": "आवाज़, विराम, रुकावट और अधिक परिवर्तनों के लिए SML टैग एकीकरण ", + "hi|-h -help parameter info in different languages": "विभिन्न भाषाओं में -h -help पैरामीटर जानकारी", + "hi|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "PDF / JPG / BMP / PNG / TIFF के लिए OCR स्कैनिंग", + "hi|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks फ़ोल्डर [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "hi|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "चीनी पाठ विभाजन को शब्दों को न तोड़ने योग्य बनाना और विराम की समयबद्धता में सुधार करना [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "hi|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[एक iOS ऐप बनाना](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hi|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[एक android ऐप बनाना](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hi|Audiobookshelf integration": "Audiobookshelf एकीकरण", + "hi|Extra Options": "अतिरिक्त विकल्प", + "hi|Ebook Translation option": "ई-बुक अनुवाद विकल्प", + "hi|Output format choices": "आउटपुट प्रारूप विकल्प", + "hi|Batch ebook folder": "बैच ई-बुक फ़ोल्डर", + "hi|Multiprocessing conversion": "मल्टीप्रोसेसिंग रूपांतरण", + "hi|Batch ebook folder conversion": "बैच ई-बुक फ़ोल्डर रूपांतरण", + "hi|GPU Device detection": "GPU डिवाइस पहचान", + "hi|Denoise any reference audio for upload voice cloning,": "अपलोड की गई वॉयस क्लोनिंग के लिए किसी भी संदर्भ ऑडियो का शोर हटाएं,", + "hi|Custom model upload (XTTSv2 only for now. more on request)": "कस्टम मॉडल अपलोड (अभी के लिए केवल XTTSv2। मांग पर और)", + "hi|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "कम से कम xttsv2, fairseq, vits, piper के लिए यूरोपीय पुर्तगाली भाषा मॉडल जोड़ें (सहायता का स्वागत है)", + "hi|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "कम से कम xttsv2, fairseq, vits, piper के लिए सिंधी भाषा मॉडल जोड़ें (सहायता का स्वागत है)", + "hi|Readme Translation": "Readme अनुवाद", + "hi|🐍 OS Compatibility": "🐍 OS संगतता", + "hi|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "मॉडलों के प्रशिक्षण आदि के लिए अतिरिक्त ओवरकिल (सभी समर्थित Coqui-tts मॉडल और piper-tts एक आसान कमांड में) ", + "hi|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "इसके बारे में जानकारी के लिए @DrewThomasson, वे वर्तमान में इसके विकास पर काम कर रहे हैं, [कार्य-प्रगति रेपो यहां](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "hi|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ljspeech प्रारूप प्रशिक्षण रेसिपी में सभी coqui-tts मॉडलों के लिए उपयोग में आसान प्रशिक्षण gui बनाएं [coqui tts से यहां](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "hi|Python Code normalization information for contributors": "योगदानकर्ताओं के लिए Python कोड सामान्यीकरण जानकारी", + "hi|no blank line between code, unless between functions and classes.": "फ़ंक्शन और क्लास के बीच को छोड़कर, कोड के बीच कोई खाली पंक्ति नहीं।", + "hi|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dict() और json को छोड़कर सभी कुंजियों के लिए एकल उद्धरण का उपयोग किया जाता है। dict['key'] हमेशा एकल उद्धरण के साथ कॉल किया जाता है", + "hi|4 spaces indentation, not tab at all": "4 स्थान इंडेंटेशन, बिल्कुल भी टैब नहीं", + "hi|strict typing for all functions and its arguments declaration and return values": "सभी फ़ंक्शनों और उनके तर्कों तथा रिटर्न मानों की घोषणा के लिए सख्त टाइपिंग", + "hi|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "तर्क और उसकी टाइपिंग के बीच कोई स्थान नहीं, फ़ंक्शन, \"->\" और रिटर्न मान के बीच कोई स्थान नहीं", + "hi|Example:": "उदाहरण:", + "hi|Hardware donation for beta tests wanted": "बीटा परीक्षणों के लिए हार्डवेयर दान की तलाश है", + "hi|We accept any kind of hardware to test our development like:": "हम अपने विकास का परीक्षण करने के लिए किसी भी प्रकार का हार्डवेयर स्वीकार करते हैं जैसे:", + "hi|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson यदि आप किसी भी तरह से मदद करना चाहते हैं! 😃", + "hi|Do you need to rent a GPU to boost service from us?": "क्या आपको हमारी सेवा को बढ़ावा देने के लिए GPU किराए पर लेने की आवश्यकता है?", + "hi|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "यहां एक मतदान खुला है https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "hi|Special Thanks": "विशेष धन्यवाद", + "hi|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 अध्यायों को सहेजने की बेहतर विधि के लिए](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "hi|TTS engines": "टीटीएस इंजन", + "hi|XTTSv2": "XTTSv2", + "hi|Bark": "छाल", + "hi|Fairseq": "फेयरसेक", + "hi|VITS": "विट्स", + "hi|Tacotron2": "टैकोट्रॉन2", + "hi|YourTTS": "YourTTS", + "hi|Tortoise": "कछुआ", + "hi|GlowTTS": "GlowTTS", + "hi|Piper": "पाइपर", + "hi|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT - SOVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "hi|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "hi|fish-speech (https://github.com/fishaudio/fish-speech)": "फिश - स्पीच (https://github.com/fishaudio/fish-speech)", + "hi|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "hi|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "hi|F5-TTS (https://github.com/swivid/f5-tts)": "F5 - TTS (https://github.com/swivid/f5-tts)", + "hi|chatterbox (https://github.com/resemble-ai/chatterbox)": "चैटबॉक्स (https://github.com/resemble-ai/chatterbox)", + "hi|Supertonic (https://github.com/supertone-inc/supertonic)": "सुपरटोनिक (https://github.com/supertone-inc/supertonic)", + "hi|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "स्पार्क - टीटीएस (https://github.com/sparkaudio/spark-tts)", + "hi|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "hi|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "hi|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "कोकोरो - टीटीएस (https://github.com/hexgrad/kokoro)", + "hi|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "hi|Zonos (https://github.com/Zyphra/Zonos)": "ज़ोनोस (https://github.com/Zyphra/Zonos)", + "hi|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "स्टाइल - TTS2 (https://github.com/yl4579/StyleTTS2)", + "hi|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "ऑर्फ़ियस - टीटीएस (https://github.com/canopyai/Orpheus-TTS)", + "hi|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "hi|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "hi|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3 - TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "bn|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "অধ্যায় ও মেটাডেটা সহ ই-বুক থেকে অডিওবুকে রূপান্তরকারী CPU/GPU কনভার্টার<br/>", + "bn|using advanced TTS engines and much more.<br/>": "উন্নত TTS ইঞ্জিন ইত্যাদি ব্যবহার করে।<br/>", + "bn|Supports voice cloning and 1158 languages!": "ভয়েস ক্লোনিং এবং ১১৫৮টি ভাষা সমর্থন করে!", + "bn|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**এই টুলটি কেবল DRM-মুক্ত, বৈধভাবে অর্জিত ই-বুকের সাথে ব্যবহারের জন্য তৈরি করা হয়েছে।** <br>", + "bn|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "লেখকগণ এই সফটওয়্যারের কোনো অপব্যবহার বা তা থেকে উদ্ভূত কোনো আইনি পরিণতির জন্য দায়ী নন। <br>", + "bn|Use this tool responsibly and in accordance with all applicable laws.": "এই টুলটি দায়িত্বের সাথে এবং সমস্ত প্রযোজ্য আইন মেনে ব্যবহার করুন।", + "bn|Thanks to support ebook2audiobook developers!": "ebook2audiobook-এর ডেভেলপারদের সমর্থন করার জন্য ধন্যবাদ!", + "bn|Run locally": "স্থানীয়ভাবে চালান", + "bn|Run Remotely": "দূরবর্তীভাবে চালান", + "bn|GUI Interface": "গ্রাফিকাল ইন্টারফেস (GUI)", + "bn|<summary>Click to see images of Web GUI</summary>": "<summary>ওয়েব GUI-এর ছবি দেখতে ক্লিক করুন</summary>", + "bn|Demos": "ডেমো", + "bn|**New Default Voice Demo** ": "**নতুন ডিফল্ট ভয়েসের ডেমো** ", + "bn|<summary>More Demos</summary>": "<summary>আরও ডেমো</summary>", + "bn|**ASMR Voice** ": "**ASMR ভয়েস** ", + "bn|**Rainy Day Voice** ": "**বৃষ্টির দিনের ভয়েস** ", + "bn|**Scarlett Voice**": "**স্কারলেট ভয়েস**", + "bn|**David Attenborough Voice** ": "**ডেভিড অ্যাটেনবরো ভয়েস** ", + "bn|**Example**": "**উদাহরণ**", + "bn|Table of Contents": "সূচিপত্র", + "bn|[Features](#features)": "[বৈশিষ্ট্য](#features)", + "bn|[GUI Interface](#gui-interface)": "[গ্রাফিকাল ইন্টারফেস](#gui-interface)", + "bn|[Demos](#demos)": "[ডেমো](#demos)", + "bn|[Supported Languages](#supported-languages)": "[সমর্থিত ভাষা](#supported-languages)", + "bn|[Minimum Requirements](#hardware-requirements)": "[ন্যূনতম প্রয়োজনীয়তা](#hardware-requirements)", + "bn|[Usage](#instructions)": "[ব্যবহার](#instructions)", + "bn|[Run Locally](#instructions)": "[স্থানীয়ভাবে চালান](#instructions)", + "bn|[Launching Gradio Web Interface](#instructions)": "[Gradio ওয়েব ইন্টারফেস চালু করা](#instructions)", + "bn|[Basic Headless Usage](#basic-usage)": "[মৌলিক Headless ব্যবহার](#basic-usage)", + "bn|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless কাস্টম XTTS মডেল ব্যবহার](#example-of-custom-model-zip-upload)", + "bn|[Help command output](#help-command-output)": "[সহায়তা কমান্ড আউটপুট](#help-command-output)", + "bn|[Run Remotely](#run-remotely)": "[দূরবর্তীভাবে চালান](#run-remotely)", + "bn|[Steps to Run](#docker)": "[চালানোর ধাপ](#docker)", + "bn|[Common Docker Issues](#common-docker-issues)": "[সাধারণ Docker সমস্যা](#common-docker-issues)", + "bn|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[ফাইন-টিউন করা TTS মডেল](#fine-tuned-tts-models)", + "bn|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[ফাইন-টিউন করা TTS মডেলের সংগ্রহ](#fine-tuned-tts-collection)", + "bn|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 প্রশিক্ষণ](#fine-tune-your-own-xttsv2-model)", + "bn|[Supported eBook Formats](#supported-ebook-formats)": "[সমর্থিত ই-বুক ফরম্যাট](#supported-ebook-formats)", + "bn|[Output Formats](#output-and-process-formats)": "[আউটপুট ফরম্যাট](#output-and-process-formats)", + "bn|[Revert to older Version](#reverting-to-older-versions)": "[পুরনো সংস্করণে ফিরে যাওয়া](#reverting-to-older-versions)", + "bn|[Common Issues](#common-issues)": "[সাধারণ সমস্যা](#common-issues)", + "bn|[Special Thanks](#special-thanks)": "[বিশেষ ধন্যবাদ](#special-thanks)", + "bn|[Table of Contents](#table-of-contents)": "[সূচিপত্র](#table-of-contents)", + "bn|Features": "বৈশিষ্ট্য", + "bn|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **সমর্থিত TTS ইঞ্জিন**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "bn|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **একাধিক ফাইল ফরম্যাট রূপান্তর করুন**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "bn|💻 **TextArea** to convert directly a short text in audio": "💻 সংক্ষিপ্ত টেক্সট সরাসরি অডিওতে রূপান্তর করার জন্য **টেক্সট এরিয়া**", + "bn|🔍 **OCR scanning** for files with text pages as images": "🔍 ছবি হিসেবে টেক্সট পৃষ্ঠা সহ ফাইলের জন্য **OCR স্ক্যানিং**", + "bn|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **উচ্চমানের টেক্সট-টু-স্পিচ**, প্রায় রিয়েল-টাইম থেকে প্রায় বাস্তব ভয়েস পর্যন্ত", + "bn|🗣️ **Optional voice cloning** using your own voice file": "🗣️ আপনার নিজের ভয়েস ফাইল ব্যবহার করে **ঐচ্ছিক ভয়েস ক্লোনিং**", + "bn|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **১১৫৮টি ভাষা সমর্থন করে** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "bn|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **কম সম্পদ-বান্ধব** — **2 GB RAM / 1 GB VRAM (ন্যূনতম)**-এ চলে", + "bn|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **অডিওবুক আউটপুট ফরম্যাট**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "bn|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML ট্যাগ সমর্থিত** — বিরতি, থামা, ভয়েস পরিবর্তন ইত্যাদির সূক্ষ্ম নিয়ন্ত্রণ ([see below](#sml-tags-available))", + "bn|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 আপনার নিজের প্রশিক্ষিত মডেল ব্যবহার করে **ঐচ্ছিক কাস্টম মডেল** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "bn|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ E2A টিম দ্বারা প্রশিক্ষিত **ফাইন-টিউন করা প্রিসেট মডেল**<br/>", + "bn|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(আপনার অতিরিক্ত ফাইন-টিউন করা মডেলের প্রয়োজন হলে, অথবা অফিসিয়াল প্রিসেট তালিকায় আপনার মডেল শেয়ার করতে চাইলে আমাদের সাথে যোগাযোগ করুন)</i>", + "bn|Hardware Requirements": "হার্ডওয়্যার প্রয়োজনীয়তা", + "bn|2GB RAM min, 8GB recommended.": "RAM ন্যূনতম 2GB, 8GB প্রস্তাবিত।", + "bn|1GB VRAM min, 4GB recommended.": "VRAM ন্যূনতম 1GB, 4GB প্রস্তাবিত।", + "bn|Virtualization enabled if running on windows (Docker only).": "windows-এ চালানোর সময় ভার্চুয়ালাইজেশন সক্ষম (শুধুমাত্র Docker)।", + "bn|CPU, XPU (intel, AMD, ARM)*.": "CPU, XPU (intel, AMD, ARM)*।", + "bn|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> আধুনিক TTS ইঞ্জিন CPU-তে খুব ধীর, তাই YourTTS, Tacotron2 ইত্যাদির মতো নিম্নমানের TTS ব্যবহার করুন।</i>", + "bn|Supported Languages": "সমর্থিত ভাষা", + "bn|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+১১৩০টি ভাষা ও উপভাষা এখানে**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "bn|Supported eBook Formats": "সমর্থিত ই-বুক ফরম্যাট", + "bn|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**সেরা ফলাফল**: স্বয়ংক্রিয় অধ্যায় শনাক্তকরণের জন্য `.epub` বা `.mobi`", + "bn|Output and process Formats": "আউটপুট ও প্রক্রিয়াকরণ ফরম্যাট", + "bn|Process format can be changed in lib/conf.py": "প্রক্রিয়াকরণ ফরম্যাট lib/conf.py-তে পরিবর্তন করা যায়", + "bn|SML tags available": "উপলব্ধ SML ট্যাগ", + "bn|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — নীরবতা (এলোমেলো পরিসর **0.3–0.6 sec.**)", + "bn|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — নীরবতা (এলোমেলো পরিসর **1.0–1.6 sec.**)", + "bn|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — নির্দিষ্ট বিরতি (**N sec.**)", + "bn|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — ডিফল্ট বা GUI/CLI থেকে নির্বাচিত ভয়েস থেকে ভয়েস পরিবর্তন করুন", + "bn|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**আপনার ই-বুকে স্বয়ংক্রিয়ভাবে SML যোগ করার জন্য নিবেদিত আমাদের অন্য রেপোটি দেখুন -> [E2A-SML](./tools/E2A-SML)**", + "bn|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**ইনস্টলেশন বা বাগ সমস্যা পোস্ট করার আগে, খোলা ও বন্ধ সমস্যার ট্যাবে সাবধানে অনুসন্ধান করুন<br>", + "bn|to be sure your issue does not exist already.**": "এটা নিশ্চিত করতে যে আপনার সমস্যাটি ইতিমধ্যে নেই।**", + "bn|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB ফরম্যাটে অধ্যায়, অনুচ্ছেদ, ভূমিকা ইত্যাদি কী তা সংজ্ঞায়িত করার কোনো মানক কাঠামো নেই।<br>", + "bn|So you should first remove manually any text you don't want to be converted in audio.**": "তাই আপনাকে প্রথমে ম্যানুয়ালি সেই সমস্ত টেক্সট সরিয়ে ফেলতে হবে যা আপনি অডিওতে রূপান্তর করতে চান না।**", + "bn|**Install / Run ebook2audiobook**:": "**ebook2audiobook ইনস্টল / চালান**:", + "bn|**Mac Launcher** ": "**Mac লঞ্চার** ", + "bn|Double click `Mac Ebook2Audiobook Launcher.command`": "`Mac Ebook2Audiobook Launcher.command`-এ ডাবল ক্লিক করুন", + "bn|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windows ব্যবহারকারীদের জন্য নোট: প্রশাসক অনুমতি ছাড়াই অনুপস্থিত প্রোগ্রাম ইনস্টল করতে scoop ইনস্টল করা হয়।</i>", + "bn|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**ওয়েব অ্যাপ খুলুন**: ওয়েব অ্যাপে প্রবেশ করতে এবং ই-বুক রূপান্তর করতে টার্মিনালে প্রদত্ত URL-এ ক্লিক করুন। `http://localhost:7860/`", + "bn|**For Public Link**:": "**পাবলিক লিঙ্কের জন্য**:", + "bn|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**যদি স্ক্রিপ্ট বন্ধ করে আবার চালানো হয়, তাহলে আপনাকে আপনার Gradio GUI ইন্টারফেস রিফ্রেশ করতে হবে<br>", + "bn|to let the web page reconnect to the new connection socket.**": "যাতে ওয়েব পৃষ্ঠাটি নতুন কানেকশন সকেটে পুনরায় সংযুক্ত হতে পারে।**", + "bn|**[--ebook]**: Path to your eBook file": "**[--ebook]**: আপনার ই-বুক ফাইলের পথ", + "bn|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: ভয়েস ক্লোনিং ফাইল পথ (ঐচ্ছিক)", + "bn|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: ISO-639-3-তে ভাষা কোড (অর্থাৎ: ইতালীয়র জন্য ita, ইংরেজির জন্য eng, জার্মানের জন্য deu...)।<br>", + "bn|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "ডিফল্ট ভাষা হল eng এবং ./lib/lang.py-তে সেট করা ডিফল্ট ভাষার জন্য --language ঐচ্ছিক।<br>", + "bn|The ISO-639-1 2 letters codes are also supported.": "২ অক্ষরের ISO-639-1 কোডও সমর্থিত।", + "bn|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: `model_name.zip` ফাইলের পথ,", + "bn|which must contain (according to the tts engine) all the mandatory files<br>": "যাতে (tts ইঞ্জিন অনুযায়ী) সমস্ত বাধ্যতামূলক ফাইল থাকতে হবে<br>", + "bn|(see ./lib/models.py).": "(দেখুন ./lib/models.py)।", + "bn|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "নোট: gradio/gui মোডে, চলমান রূপান্তর বাতিল করতে, কেবল ই-বুক আপলোড উপাদানের [X]-এ ক্লিক করুন।", + "bn|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "টিপ: যদি একটু বেশি বিরতির প্রয়োজন হয়, তাহলে ৩ সেকেন্ডের জন্য '[pause:3]' যোগ করুন ইত্যাদি।", + "bn|Common Docker Issues": "সাধারণ Docker সমস্যা", + "bn|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "আমার NVIDIA GPU শনাক্ত হচ্ছে না?? -> [GPU সমস্যা Wiki পৃষ্ঠা](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "bn|Fine Tuned TTS models": "ফাইন-টিউন করা (fine-tuned) TTS মডেল", + "bn|Fine Tune your own XTTSv2 model": "আপনার নিজের XTTSv2 মডেল ফাইন-টিউন করুন", + "bn|De-noise training data": "প্রশিক্ষণ ডেটার শব্দ অপসারণ", + "bn|Fine Tuned TTS Collection": "ফাইন-টিউন করা TTS মডেলের সংগ্রহ", + "bn|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "কাস্টম XTTSv2 মডেলের জন্য, ভয়েসের একটি রেফারেন্স অডিও ক্লিপ বাধ্যতামূলক:", + "bn|Your own Ebook2Audiobook customization": "আপনার নিজের Ebook2Audiobook কাস্টমাইজেশন", + "bn|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "আপনি যে সেটিংস চান তা যোগ বা অপসারণ করতে libs/conf.py অবাধে পরিবর্তন করতে পারেন। আপনি যদি এটি করার পরিকল্পনা করেন, তাহলে কেবল", + "bn|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "মূল conf.py-এর একটি কপি তৈরি করুন যাতে প্রতিটি ebook2audiobook আপডেটে আপনি আপনার পরিবর্তিত conf.py ব্যাকআপ করতে এবং মূলটি", + "bn|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "ফিরিয়ে রাখতে পারেন। আপনাকে models.py-এর জন্যও একই প্রক্রিয়া পরিকল্পনা করতে হবে। আপনি যদি আপনার নিজের কাস্টম মডেলকে", + "bn|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "একটি অফিসিয়াল ফাইন-টিউন করা ebook2audiobook মডেল বানাতে চান, তাহলে অনুগ্রহ করে আমাদের সাথে যোগাযোগ করুন এবং আমরা এটি প্রিসেট তালিকায় যোগ করব।", + "bn|Common Issues:": "সাধারণ সমস্যা:", + "bn|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "আমার NVIDIA/ROCm/XPU/MPS GPU শনাক্ত হচ্ছে না?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "bn|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU ধীর (সার্ভার smp CPU-তে ভালো) যখন GPU প্রায় রিয়েল-টাইম রূপান্তর করতে পারে।", + "bn|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(তবে এতে zero-shot ভয়েস ক্লোনিং নেই, এবং এগুলি Siri মানের ভয়েস, কিন্তু cpu-তে অনেক দ্রুত)।", + "bn|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"আমার নির্ভরতা সংক্রান্ত সমস্যা হচ্ছে\" - কেবল docker ব্যবহার করুন, এটি সম্পূর্ণ স্বয়ংসম্পূর্ণ এবং এর headless মোড আছে,", + "bn|add `--help` parameter at the end of the docker run command for more information.": "আরও তথ্যের জন্য docker run কমান্ডের শেষে `--help` প্যারামিটার যোগ করুন।", + "bn|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"আমার কাটা অডিওর সমস্যা হচ্ছে!\" - অনুগ্রহ করে এই বিষয়ে একটি ISSUE তৈরি করুন,", + "bn|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "আমরা প্রতিটি ভাষা বলি না এবং বাক্য বিভাজন যুক্তি ফাইন-টিউন করতে ব্যবহারকারীদের পরামর্শ প্রয়োজন।😊", + "bn|***** ROADMAP *****": "***** রোডম্যাপ *****", + "bn|All Features open to public Contributions ⭐": "সমস্ত বৈশিষ্ট্য সর্বজনীন অবদানের জন্য উন্মুক্ত ⭐", + "bn|Any help from people speaking any of the supported languages to help us improve the models ⭐": "মডেল উন্নত করতে আমাদের সাহায্য করার জন্য যেকোনো সমর্থিত ভাষায় কথা বলা লোকদের কাছ থেকে যেকোনো সাহায্য ⭐", + "bn|Preview Blocks/Chapters before to start the conversion": "রূপান্তর শুরু করার আগে ব্লক/অধ্যায় প্রিভিউ", + "bn|Edit by sentence converted for surgical text change": "সূক্ষ্ম টেক্সট পরিবর্তনের জন্য রূপান্তরিত বাক্য অনুযায়ী সম্পাদনা", + "bn|SML tags integration for voice, pause, break, and more changes ": "ভয়েস, বিরতি, থামা এবং আরও পরিবর্তনের জন্য SML ট্যাগ ইন্টিগ্রেশন ", + "bn|-h -help parameter info in different languages": "বিভিন্ন ভাষায় -h -help প্যারামিটার তথ্য", + "bn|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "PDF / JPG / BMP / PNG / TIFF-এর জন্য OCR স্ক্যানিং", + "bn|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks ফোল্ডার [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "bn|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "চীনা টেক্সট বিভাজন যাতে শব্দ ভাগ না করে তা নিশ্চিত করা এবং বিরতির সময় উন্নত করা [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "bn|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[একটি iOS অ্যাপ তৈরি করা](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "bn|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[একটি android অ্যাপ তৈরি করা](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "bn|Audiobookshelf integration": "Audiobookshelf ইন্টিগ্রেশন", + "bn|Extra Options": "অতিরিক্ত বিকল্প", + "bn|Ebook Translation option": "ই-বুক অনুবাদ বিকল্প", + "bn|Output format choices": "আউটপুট ফরম্যাট পছন্দ", + "bn|Batch ebook folder": "ব্যাচ ই-বুক ফোল্ডার", + "bn|Multiprocessing conversion": "মাল্টিপ্রসেসিং রূপান্তর", + "bn|Batch ebook folder conversion": "ব্যাচ ই-বুক ফোল্ডার রূপান্তর", + "bn|GPU Device detection": "GPU ডিভাইস শনাক্তকরণ", + "bn|Denoise any reference audio for upload voice cloning,": "আপলোড করা ভয়েস ক্লোনিংয়ের জন্য যেকোনো রেফারেন্স অডিওর শব্দ অপসারণ,", + "bn|Custom model upload (XTTSv2 only for now. more on request)": "কাস্টম মডেল আপলোড (আপাতত শুধু XTTSv2। চাহিদা অনুযায়ী আরও)", + "bn|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "অন্তত xttsv2, fairseq, vits, piper-এর জন্য ইউরোপীয় পর্তুগিজ ভাষা মডেল যোগ করা (সাহায্য স্বাগত)", + "bn|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "অন্তত xttsv2, fairseq, vits, piper-এর জন্য সিন্ধি ভাষা মডেল যোগ করা (সাহায্য স্বাগত)", + "bn|Readme Translation": "Readme অনুবাদ", + "bn|🐍 OS Compatibility": "🐍 OS সামঞ্জস্যতা", + "bn|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "মডেল প্রশিক্ষণ ইত্যাদির জন্য অতিরিক্ত ওভারকিল (সমস্ত সমর্থিত Coqui-tts মডেল এবং piper-tts একটি সহজ কমান্ডে) ", + "bn|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "এই সম্পর্কে তথ্যের জন্য @DrewThomasson, তিনি বর্তমানে এর উন্নয়নে কাজ করছেন, [কার্য-চলমান রেপো এখানে](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "bn|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ljspeech ফরম্যাট প্রশিক্ষণ রেসিপিতে সমস্ত coqui-tts মডেলের জন্য একটি সহজ-ব্যবহারযোগ্য প্রশিক্ষণ gui তৈরি করুন [coqui tts থেকে এখানে](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "bn|Python Code normalization information for contributors": "অবদানকারীদের জন্য Python কোড স্বাভাবিকীকরণ তথ্য", + "bn|no blank line between code, unless between functions and classes.": "ফাংশন এবং ক্লাসের মধ্যে ছাড়া, কোডের মধ্যে কোনো খালি লাইন নেই।", + "bn|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dict() এবং json ছাড়া সমস্ত কী-এর জন্য একক উদ্ধৃতি ব্যবহৃত হয়। dict['key'] সর্বদা একক উদ্ধৃতি দিয়ে কল করা হয়", + "bn|4 spaces indentation, not tab at all": "৪ স্পেস ইন্ডেন্টেশন, একদমই কোনো ট্যাব নয়", + "bn|strict typing for all functions and its arguments declaration and return values": "সমস্ত ফাংশন এবং তাদের আর্গুমেন্ট ও রিটার্ন মান ঘোষণার জন্য কঠোর টাইপিং", + "bn|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "আর্গুমেন্ট এবং তার টাইপিংয়ের মধ্যে কোনো স্পেস নেই, ফাংশন, \"->\" এবং রিটার্ন মানের মধ্যে কোনো স্পেস নেই", + "bn|Example:": "উদাহরণ:", + "bn|Hardware donation for beta tests wanted": "বিটা পরীক্ষার জন্য হার্ডওয়্যার দান খোঁজা হচ্ছে", + "bn|We accept any kind of hardware to test our development like:": "আমরা আমাদের উন্নয়ন পরীক্ষা করার জন্য যেকোনো ধরনের হার্ডওয়্যার গ্রহণ করি যেমন:", + "bn|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson আপনি যদি যেকোনো উপায়ে সাহায্য করতে চান! 😃", + "bn|Do you need to rent a GPU to boost service from us?": "আমাদের পরিষেবা বাড়াতে আপনার কি একটি GPU ভাড়া নেওয়ার প্রয়োজন?", + "bn|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "এখানে একটি জরিপ খোলা আছে https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "bn|Special Thanks": "বিশেষ ধন্যবাদ", + "bn|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 অধ্যায় সংরক্ষণের আরও ভালো পদ্ধতির জন্য](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "bn|TTS engines": "TTS ইঞ্জিন", + "bn|XTTSv2": "XTTSv2", + "bn|Bark": "বাকল", + "bn|Fairseq": "ফেয়ারসিক", + "bn|VITS": "VITS", + "bn|Tacotron2": "Tacotron2", + "bn|YourTTS": "YourTTS", + "bn|Tortoise": "কচ্ছপ", + "bn|GlowTTS": "GlowTTS", + "bn|Piper": "পাইপার", + "bn|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "bn|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "bn|fish-speech (https://github.com/fishaudio/fish-speech)": "ফিশ-স্পিচ (https://github.com/fishaudio/fish-speech)", + "bn|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "bn|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "bn|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "bn|chatterbox (https://github.com/resemble-ai/chatterbox)": "চ্যাটারবক্স (https://github.com/resemble-ai/chatterbox)", + "bn|Supertonic (https://github.com/supertone-inc/supertonic)": "সুপারটোনিক (https://github.com/supertone-inc/supertonic)", + "bn|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "স্পার্ক-টিটিএস (https://github.com/sparkaudio/spark-tts)", + "bn|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "bn|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "bn|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "কোকোরো-টিটিএস (https://github.com/hexgrad/kokoro)", + "bn|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "ওমনিভয়েস (https://github.com/k2-fsa/OmniVoice)", + "bn|Zonos (https://github.com/Zyphra/Zonos)": "জোনোস (https://github.com/Zyphra/Zonos)", + "bn|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "bn|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "অর্ফিয়াস-টিটিএস (https://github.com/canopyai/Orpheus-TTS)", + "bn|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "bn|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "bn|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "hu|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU átalakító e-könyvből hangoskönyvvé fejezetekkel és metaadatokkal<br/>", + "hu|using advanced TTS engines and much more.<br/>": "fejlett TTS-motorok használatával és még sok mással.<br/>", + "hu|Supports voice cloning and 1158 languages!": "Támogatja a hangklónozást és 1158 nyelvet!", + "hu|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Ez az eszköz kizárólag DRM-mentes, legálisan beszerzett e-könyvekhez használható.** <br>", + "hu|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "A szerzők nem felelősek a szoftver bárminemű visszaéléséért, sem az ebből eredő jogi következményekért. <br>", + "hu|Use this tool responsibly and in accordance with all applicable laws.": "Használd ezt az eszközt felelősségteljesen, az összes vonatkozó törvénnyel összhangban.", + "hu|Thanks to support ebook2audiobook developers!": "Köszönjük, hogy támogatod az ebook2audiobook fejlesztőit!", + "hu|Run locally": "Futtatás helyben", + "hu|Run Remotely": "Futtatás távolról", + "hu|GUI Interface": "Grafikus felület (GUI)", + "hu|<summary>Click to see images of Web GUI</summary>": "<summary>Kattints a webes GUI képeinek megtekintéséhez</summary>", + "hu|Demos": "Demók", + "hu|**New Default Voice Demo** ": "**Az új alapértelmezett hang demója** ", + "hu|<summary>More Demos</summary>": "<summary>További demók</summary>", + "hu|**ASMR Voice** ": "**ASMR hang** ", + "hu|**Rainy Day Voice** ": "**Esős napi hang** ", + "hu|**Scarlett Voice**": "**Scarlett hang**", + "hu|**David Attenborough Voice** ": "**David Attenborough hang** ", + "hu|**Example**": "**Példa**", + "hu|Table of Contents": "Tartalomjegyzék", + "hu|[Features](#features)": "[Funkciók](#features)", + "hu|[GUI Interface](#gui-interface)": "[Grafikus felület](#gui-interface)", + "hu|[Demos](#demos)": "[Demók](#demos)", + "hu|[Supported Languages](#supported-languages)": "[Támogatott nyelvek](#supported-languages)", + "hu|[Minimum Requirements](#hardware-requirements)": "[Minimális követelmények](#hardware-requirements)", + "hu|[Usage](#instructions)": "[Használat](#instructions)", + "hu|[Run Locally](#instructions)": "[Futtatás helyben](#instructions)", + "hu|[Launching Gradio Web Interface](#instructions)": "[A Gradio webes felület indítása](#instructions)", + "hu|[Basic Headless Usage](#basic-usage)": "[Alapvető headless használat](#basic-usage)", + "hu|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Egyéni XTTS modell használata headless módban](#example-of-custom-model-zip-upload)", + "hu|[Help command output](#help-command-output)": "[A súgóparancs kimenete](#help-command-output)", + "hu|[Run Remotely](#run-remotely)": "[Futtatás távolról](#run-remotely)", + "hu|[Steps to Run](#docker)": "[Futtatási lépések](#docker)", + "hu|[Common Docker Issues](#common-docker-issues)": "[Gyakori Docker-problémák](#common-docker-issues)", + "hu|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Finomhangolt TTS modellek](#fine-tuned-tts-models)", + "hu|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Finomhangolt TTS modellek gyűjteménye](#fine-tuned-tts-collection)", + "hu|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 tanítása](#fine-tune-your-own-xttsv2-model)", + "hu|[Supported eBook Formats](#supported-ebook-formats)": "[Támogatott e-könyv formátumok](#supported-ebook-formats)", + "hu|[Output Formats](#output-and-process-formats)": "[Kimeneti formátumok](#output-and-process-formats)", + "hu|[Revert to older Version](#reverting-to-older-versions)": "[Visszatérés régebbi verzióhoz](#reverting-to-older-versions)", + "hu|[Common Issues](#common-issues)": "[Gyakori problémák](#common-issues)", + "hu|[Special Thanks](#special-thanks)": "[Külön köszönet](#special-thanks)", + "hu|[Table of Contents](#table-of-contents)": "[Tartalomjegyzék](#table-of-contents)", + "hu|Features": "Funkciók", + "hu|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Támogatott TTS-motorok**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "hu|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Több fájlformátum átalakítása**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "hu|💻 **TextArea** to convert directly a short text in audio": "💻 **Szövegmező** rövid szöveg közvetlen hanggá alakításához", + "hu|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR-beolvasás** képként megjelenő szöveges oldalakat tartalmazó fájlokhoz", + "hu|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Kiváló minőségű szövegfelolvasás**, a közel valós időtől a szinte valós hangig", + "hu|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Opcionális hangklónozás** a saját hangfájlod használatával", + "hu|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **1158 nyelvet támogat** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "hu|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Erőforrás-barát** — fut **2 GB RAM / 1 GB VRAM (minimum)** mellett", + "hu|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Hangoskönyv kimeneti formátumok**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "hu|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML címkék támogatása** — szünetek, megállások, hangváltás és egyebek finom vezérlése ([see below](#sml-tags-available))", + "hu|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Opcionális egyéni modell** a saját betanított modelled használatával (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "hu|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Finomhangolt előbeállított modellek**, amelyeket az E2A csapata tanított be<br/>", + "hu|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Lépj kapcsolatba velünk, ha további finomhangolt modellekre van szükséged, vagy ha meg szeretnéd osztani a sajátjaidat a hivatalos előbeállítások listáján)</i>", + "hu|Hardware Requirements": "Hardverkövetelmények", + "hu|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB ajánlott.", + "hu|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB ajánlott.", + "hu|Virtualization enabled if running on windows (Docker only).": "Engedélyezett virtualizáció, ha Windowson fut (csak Docker).", + "hu|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> A modern TTS-motorok nagyon lassúak CPU-n, ezért használj alacsonyabb minőségű TTS-t, mint a YourTTS, Tacotron2 stb.</i>", + "hu|Supported Languages": "Támogatott nyelvek", + "hu|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 nyelv és nyelvjárás itt**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "hu|Supported eBook Formats": "Támogatott e-könyv formátumok", + "hu|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Legjobb eredmények**: `.epub` vagy `.mobi` az automatikus fejezetfelismeréshez", + "hu|Output and process Formats": "Kimeneti és feldolgozási formátumok", + "hu|Process format can be changed in lib/conf.py": "A feldolgozási formátum a lib/conf.py fájlban módosítható", + "hu|SML tags available": "Elérhető SML címkék", + "hu|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — csend (véletlenszerű tartomány **0.3–0.6 sec.**)", + "hu|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — csend (véletlenszerű tartomány **1.0–1.6 sec.**)", + "hu|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — fix szünet (**N sec.**)", + "hu|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — hangváltás az alapértelmezett vagy a GUI/CLI-ben kiválasztott hangról", + "hu|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Nézd meg másik repónkat, amely az SML automatikus hozzáadásának szentelt az e-könyvedhez -> [E2A-SML](./tools/E2A-SML)**", + "hu|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Mielőtt telepítési vagy hibajegyet nyitnál, gondosan keress rá a nyitott és lezárt jegyek fülön<br>", + "hu|to be sure your issue does not exist already.**": "hogy biztos legyél benne, hogy a problémád még nem létezik.**", + "hu|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Az EPUB formátum nem rendelkezik semmilyen szabványos struktúrával arra nézve, hogy mi a fejezet, bekezdés, előszó stb.<br>", + "hu|So you should first remove manually any text you don't want to be converted in audio.**": "Ezért először manuálisan el kell távolítanod minden olyan szöveget, amelyet nem szeretnél hanggá alakítani.**", + "hu|**Install / Run ebook2audiobook**:": "**Telepítsd / Futtasd az ebook2audiobookot**:", + "hu|**Mac Launcher** ": "**Mac indító** ", + "hu|Double click `Mac Ebook2Audiobook Launcher.command`": "Kattints duplán a `Mac Ebook2Audiobook Launcher.command` fájlra", + "hu|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Megjegyzés Windows-felhasználóknak: a scoop telepítésre kerül a hiányzó programok rendszergazdai jogosultságok nélküli telepítéséhez.</i>", + "hu|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Nyisd meg a webalkalmazást**: Kattints a terminálban megadott URL-re a webalkalmazás eléréséhez és az e-könyvek átalakításához. `http://localhost:7860/`", + "hu|**For Public Link**:": "**Nyilvános linkhez**:", + "hu|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Ha a szkriptet leállítják és újra futtatják, frissítened kell a Gradio GUI felületedet<br>", + "hu|to let the web page reconnect to the new connection socket.**": "hogy a weboldal újra tudjon csatlakozni az új kapcsolati sockethez.**", + "hu|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Az e-könyv fájlod elérési útja", + "hu|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: A hangklónozó fájl elérési útja (opcionális)", + "hu|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Nyelvkód ISO-639-3 formátumban (pl.: ita olaszhoz, eng angolhoz, deu némethez...).<br>", + "hu|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Az alapértelmezett nyelv az eng, és a --language opcionális a ./lib/lang.py fájlban beállított alapértelmezett nyelvhez.<br>", + "hu|The ISO-639-1 2 letters codes are also supported.": "A kétbetűs ISO-639-1 kódok is támogatottak.", + "hu|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: A `model_name.zip` fájl elérési útja,", + "hu|which must contain (according to the tts engine) all the mandatory files<br>": "amelynek (a TTS-motortól függően) tartalmaznia kell az összes kötelező fájlt<br>", + "hu|(see ./lib/models.py).": "(lásd ./lib/models.py).", + "hu|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "MEGJEGYZÉS: gradio/gui módban a folyamatban lévő átalakítás megszakításához egyszerűen kattints az e-könyv feltöltési komponens [X] gombjára.", + "hu|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIPP: ha kicsit több szünet szükséges, adj hozzá '[pause:3]'-at 3 mp-hez stb.", + "hu|Common Docker Issues": "Gyakori Docker-problémák", + "hu|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Nem érzékeli az NVIDIA GPU-mat?? -> [GPU-PROBLÉMÁK wiki oldal](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hu|Fine Tuned TTS models": "Finomhangolt (fine-tuned) TTS modellek", + "hu|Fine Tune your own XTTSv2 model": "Finomhangold a saját XTTSv2 modelledet", + "hu|De-noise training data": "Tanítóadatok zajszűrése", + "hu|Fine Tuned TTS Collection": "Finomhangolt TTS modellek gyűjteménye", + "hu|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Egyéni XTTSv2 modellhez kötelező egy referencia hangklip a hangról:", + "hu|Your own Ebook2Audiobook customization": "A saját Ebook2Audiobook testreszabásod", + "hu|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Szabadon módosíthatod a libs/conf.py fájlt a kívánt beállítások hozzáadásához vagy eltávolításához. Ha ezt tervezed, egyszerűen készíts", + "hu|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "egy másolatot az eredeti conf.py fájlról, hogy minden ebook2audiobook frissítésnél elmenthesd a módosított conf.py fájlodat, és visszatehesd", + "hu|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "az eredetit. Ugyanezt a folyamatot kell megtervezned a models.py esetében is. Ha szeretnéd a saját egyéni modelledet", + "hu|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "hivatalos finomhangolt ebook2audiobook modellé tenni, lépj kapcsolatba velünk, és hozzáadjuk az előbeállítások listájához.", + "hu|Common Issues:": "Gyakori problémák:", + "hu|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Az NVIDIA/ROCm/XPU/MPS GPU-mat nem érzékeli?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hu|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "A CPU lassú (jobb szerver SMP CPU-n), míg a GPU szinte valós idejű átalakítást tud nyújtani.", + "hu|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Nincs azonban zero-shot hangklónozása, és a hangok Siri minőségűek, de CPU-n sokkal gyorsabb).", + "hu|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Függőségi problémáim vannak” - Egyszerűen használd a Dockert, teljesen önálló, és van headless módja,", + "hu|add `--help` parameter at the end of the docker run command for more information.": "adj hozzá `--help` paramétert a docker run parancs végéhez további információkért.", + "hu|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Levágott hang problémám van!” - KÉRJÜK, NYISS ERRŐL EGY ISSUE-T,", + "hu|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "nem beszélünk minden nyelvet, és szükségünk van a felhasználók tanácsaira a mondatfelosztási logika finomhangolásához.😊", + "hu|***** ROADMAP *****": "***** ÜTEMTERV *****", + "hu|All Features open to public Contributions ⭐": "Minden funkció nyitva a nyilvános hozzájárulások előtt ⭐", + "hu|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Bármilyen segítség a támogatott nyelvek valamelyikét beszélő emberektől, hogy segítsenek javítani a modelleket ⭐", + "hu|Preview Blocks/Chapters before to start the conversion": "Blokkok/fejezetek előnézete az átalakítás megkezdése előtt", + "hu|Edit by sentence converted for surgical text change": "Szerkesztés átalakított mondatonként a sebészi pontosságú szövegmódosításhoz", + "hu|SML tags integration for voice, pause, break, and more changes ": "SML címkék integrációja hanghoz, szünethez, megszakításhoz és további módosításokhoz ", + "hu|-h -help parameter info in different languages": "A -h -help paraméterek információi különböző nyelveken", + "hu|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR-beolvasás PDF / JPG / BMP / PNG / TIFF formátumokhoz", + "hu|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebookok mappa [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "hu|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "A kínai szövegfelosztás úgy alakítása, hogy ne vágjon szét szavakat, és a szünetek időzítésének javítása [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "hu|Kaggle Notebook": "Kaggle notebook", + "hu|Google Colab Notebook": "Google Colab notebook", + "hu|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[iOS alkalmazás készítése](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hu|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Android alkalmazás készítése](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hu|Audiobookshelf integration": "Audiobookshelf integráció", + "hu|Extra Options": "További opciók", + "hu|Ebook Translation option": "E-könyv fordítási opció", + "hu|Output format choices": "Kimeneti formátum választása", + "hu|Batch ebook folder": "Kötegelt e-könyv mappa", + "hu|Multiprocessing conversion": "Átalakítás többszálú feldolgozással", + "hu|Batch ebook folder conversion": "E-könyv mappa kötegelt átalakítása", + "hu|GPU Device detection": "GPU-eszköz észlelése", + "hu|Denoise any reference audio for upload voice cloning,": "Bármilyen referencia hang zajszűrése a feltöltött hangklónozáshoz,", + "hu|Custom model upload (XTTSv2 only for now. more on request)": "Egyéni modell feltöltése (egyelőre csak XTTSv2. több kérésre)", + "hu|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Európai portugál nyelvi modell hozzáadása legalább xttsv2, fairseq, vits, piper számára (segítség szívesen látott)", + "hu|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Szindhi nyelvi modell hozzáadása legalább xttsv2, fairseq, vits, piper számára (segítség szívesen látott)", + "hu|Readme Translation": "A Readme fordítása", + "hu|🐍 OS Compatibility": "🐍 Operációsrendszer-kompatibilitás", + "hu|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra túlzás modellek tanításához és hasonlókhoz (az összes támogatott Coqui-tts modell és a piper-tts egyetlen egyszerű paranccsal) ", + "hu|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Az erről szóló információkért: @DrewThomasson jelenleg ennek a fejlesztésén dolgozik, [fejlesztés alatt álló repó itt](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "hu|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Könnyen használható tanító GUI készítése az összes coqui-tts modellhez ljspeech formátumú tanító receptekben [itt a coqui tts-től](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "hu|Python Code normalization information for contributors": "Python kódnormalizálási információk közreműködőknek", + "hu|no blank line between code, unless between functions and classes.": "nincs üres sor a kód között, kivéve a függvények és osztályok között.", + "hu|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "egyszeres idézőjel minden kulcshoz, kivéve a dict() és json esetében. a dict['key'] mindig egyszeres idézőjellel hívandó", + "hu|4 spaces indentation, not tab at all": "4 szóköznyi behúzás, egyáltalán nincs tabulátor", + "hu|strict typing for all functions and its arguments declaration and return values": "szigorú típusozás minden függvényhez, valamint argumentumaik és visszatérési értékeik deklarációjához", + "hu|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "nincs szóköz az argumentum és a típusozása között, nincs szóköz a függvény, a „->” és a visszatérési érték között", + "hu|Example:": "Példa:", + "hu|Hardware donation for beta tests wanted": "Hardveradományt keresünk béta tesztekhez", + "hu|We accept any kind of hardware to test our development like:": "Bármilyen típusú hardvert elfogadunk a fejlesztésünk teszteléséhez, például:", + "hu|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson ha bármilyen módon segíteni szeretnél! 😃", + "hu|Do you need to rent a GPU to boost service from us?": "Szükséged van GPU bérlésére a szolgáltatásunk felgyorsításához?", + "hu|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Egy szavazás nyitva van itt https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "hu|Special Thanks": "Külön köszönet", + "hu|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 a fejezetek jobb mentési módszeréért](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "hu|TTS engines": "TTS motorok", + "hu|XTTSv2": "XTTSv2", + "hu|Bark": "Bark", + "hu|Fairseq": "Fairseq", + "hu|VITS": "VITS", + "hu|Tacotron2": "Tacotron2", + "hu|YourTTS": "YourTTS", + "hu|Tortoise": "Szárazfölditeknős-félék", + "hu|GlowTTS": "GlowTTS", + "hu|Piper": "Piper", + "hu|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "hu|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "hu|fish-speech (https://github.com/fishaudio/fish-speech)": "hal-beszéd (https://github.com/fishaudio/fish-speech)", + "hu|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "hu|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "hu|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "hu|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "hu|Supertonic (https://github.com/supertone-inc/supertonic)": "Szupertonikus (https://github.com/supertone-inc/supertonic)", + "hu|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "hu|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "hu|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "hu|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "hu|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "hu|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "hu|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Stílus-TTS2 (https://github.com/yl4579/StyleTTS2)", + "hu|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "hu|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "hu|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "hu|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "ko|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "전자책을 챕터 및 메타데이터가 포함된 오디오북으로 변환하는 CPU/GPU 변환기<br/>", + "ko|using advanced TTS engines and much more.<br/>": "고급 TTS 엔진 등을 사용합니다.<br/>", + "ko|Supports voice cloning and 1158 languages!": "음성 복제와 1158개 언어를 지원합니다!", + "ko|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**이 도구는 DRM이 없고 합법적으로 취득한 전자책에만 사용하도록 만들어졌습니다.** <br>", + "ko|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "저작자는 이 소프트웨어의 어떠한 오용이나 그로 인한 법적 결과에 대해 책임지지 않습니다. <br>", + "ko|Use this tool responsibly and in accordance with all applicable laws.": "이 도구를 책임감 있게, 그리고 적용 가능한 모든 법률을 준수하여 사용하십시오.", + "ko|Thanks to support ebook2audiobook developers!": "ebook2audiobook 개발자를 지원해 주셔서 감사합니다!", + "ko|Run locally": "로컬에서 실행", + "ko|Run Remotely": "원격으로 실행", + "ko|GUI Interface": "그래픽 인터페이스(GUI)", + "ko|<summary>Click to see images of Web GUI</summary>": "<summary>웹 GUI 이미지를 보려면 클릭하세요</summary>", + "ko|Demos": "데모", + "ko|**New Default Voice Demo** ": "**새로운 기본 음성 데모** ", + "ko|<summary>More Demos</summary>": "<summary>추가 데모</summary>", + "ko|**ASMR Voice** ": "**ASMR 음성** ", + "ko|**Rainy Day Voice** ": "**비 오는 날 음성** ", + "ko|**Scarlett Voice**": "**스칼렛 음성**", + "ko|**David Attenborough Voice** ": "**데이비드 애튼버러 음성** ", + "ko|**Example**": "**예시**", + "ko|Table of Contents": "목차", + "ko|[Features](#features)": "[기능](#features)", + "ko|[GUI Interface](#gui-interface)": "[그래픽 인터페이스](#gui-interface)", + "ko|[Demos](#demos)": "[데모](#demos)", + "ko|[Supported Languages](#supported-languages)": "[지원 언어](#supported-languages)", + "ko|[Minimum Requirements](#hardware-requirements)": "[최소 요구 사항](#hardware-requirements)", + "ko|[Usage](#instructions)": "[사용법](#instructions)", + "ko|[Run Locally](#instructions)": "[로컬에서 실행](#instructions)", + "ko|[Launching Gradio Web Interface](#instructions)": "[Gradio 웹 인터페이스 실행](#instructions)", + "ko|[Basic Headless Usage](#basic-usage)": "[기본 Headless 사용법](#basic-usage)", + "ko|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Headless 커스텀 XTTS 모델 사용법](#example-of-custom-model-zip-upload)", + "ko|[Help command output](#help-command-output)": "[도움말 명령 출력](#help-command-output)", + "ko|[Run Remotely](#run-remotely)": "[원격으로 실행](#run-remotely)", + "ko|[Steps to Run](#docker)": "[실행 단계](#docker)", + "ko|[Common Docker Issues](#common-docker-issues)": "[일반적인 Docker 문제](#common-docker-issues)", + "ko|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[미세 조정된 TTS 모델](#fine-tuned-tts-models)", + "ko|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[미세 조정된 TTS 모델 모음](#fine-tuned-tts-collection)", + "ko|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[XTTSv2 학습](#fine-tune-your-own-xttsv2-model)", + "ko|[Supported eBook Formats](#supported-ebook-formats)": "[지원되는 전자책 형식](#supported-ebook-formats)", + "ko|[Output Formats](#output-and-process-formats)": "[출력 형식](#output-and-process-formats)", + "ko|[Revert to older Version](#reverting-to-older-versions)": "[이전 버전으로 되돌리기](#reverting-to-older-versions)", + "ko|[Common Issues](#common-issues)": "[일반적인 문제](#common-issues)", + "ko|[Special Thanks](#special-thanks)": "[특별히 감사드립니다](#special-thanks)", + "ko|[Table of Contents](#table-of-contents)": "[목차](#table-of-contents)", + "ko|Features": "기능", + "ko|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **지원되는 TTS 엔진**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "ko|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **여러 파일 형식 변환**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "ko|💻 **TextArea** to convert directly a short text in audio": "💻 짧은 텍스트를 직접 오디오로 변환하는 **텍스트 영역**", + "ko|🔍 **OCR scanning** for files with text pages as images": "🔍 이미지로 된 텍스트 페이지가 있는 파일을 위한 **OCR 스캔**", + "ko|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **고품질 텍스트 음성 변환**, 거의 실시간부터 거의 실제 음성까지", + "ko|🗣️ **Optional voice cloning** using your own voice file": "🗣️ 자신의 음성 파일을 사용한 **선택적 음성 복제**", + "ko|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **1158개 언어 지원** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "ko|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **저사양 친화적** — **2 GB RAM / 1 GB VRAM(최소)**에서 실행", + "ko|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **오디오북 출력 형식**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "ko|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML 태그 지원** — 중단, 멈춤, 음성 전환 등의 세밀한 제어 ([see below](#sml-tags-available))", + "ko|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 자신이 학습한 모델을 사용한 **선택적 커스텀 모델** (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "ko|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ E2A 팀이 학습한 **미세 조정된 프리셋 모델**<br/>", + "ko|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(추가 미세 조정된 모델이 필요하거나, 공식 프리셋 목록에 자신의 모델을 공유하고 싶으시면 저희에게 연락하세요)</i>", + "ko|Hardware Requirements": "하드웨어 요구 사항", + "ko|2GB RAM min, 8GB recommended.": "RAM 2GB 최소, 8GB 권장.", + "ko|1GB VRAM min, 4GB recommended.": "VRAM 1GB 최소, 4GB 권장.", + "ko|Virtualization enabled if running on windows (Docker only).": "Windows에서 실행하는 경우 가상화 활성화(Docker 전용).", + "ko|CPU, XPU (intel, AMD, ARM)*.": "CPU, XPU(intel, AMD, ARM)*.", + "ko|MPS (Apple Silicon CPU)": "MPS(Apple Silicon CPU)", + "ko|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> 최신 TTS 엔진은 CPU에서 매우 느리므로 YourTTS, Tacotron2 등 더 낮은 품질의 TTS를 사용하세요.</i>", + "ko|Supported Languages": "지원 언어", + "ko|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130개 언어 및 방언은 여기에서**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "ko|Supported eBook Formats": "지원되는 전자책 형식", + "ko|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**최상의 결과**: 자동 챕터 감지에는 `.epub` 또는 `.mobi`", + "ko|Output and process Formats": "출력 및 처리 형식", + "ko|Process format can be changed in lib/conf.py": "처리 형식은 lib/conf.py에서 변경할 수 있습니다", + "ko|SML tags available": "사용 가능한 SML 태그", + "ko|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — 무음(무작위 범위 **0.3–0.6 sec.**)", + "ko|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — 무음(무작위 범위 **1.0–1.6 sec.**)", + "ko|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — 고정 멈춤(**N sec.**)", + "ko|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — 기본 음성 또는 GUI/CLI에서 선택한 음성에서 음성 전환", + "ko|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**전자책에 SML을 자동으로 추가하는 데 전념하는 다른 저장소를 확인하세요 -> [E2A-SML](./tools/E2A-SML)**", + "ko|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**설치 또는 버그 문제를 게시하기 전에, 열린 문제와 닫힌 문제 탭을 주의 깊게 검색하여<br>", + "ko|to be sure your issue does not exist already.**": "귀하의 문제가 아직 존재하지 않는지 확인하십시오.**", + "ko|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB 형식에는 챕터, 단락, 서문 등이 무엇인지 정의하는 어떠한 표준 구조도 없습니다.<br>", + "ko|So you should first remove manually any text you don't want to be converted in audio.**": "따라서 먼저 오디오로 변환하고 싶지 않은 텍스트를 수동으로 제거해야 합니다.**", + "ko|**Install / Run ebook2audiobook**:": "**ebook2audiobook 설치 / 실행**:", + "ko|**Mac Launcher** ": "**Mac 런처** ", + "ko|Double click `Mac Ebook2Audiobook Launcher.command`": "`Mac Ebook2Audiobook Launcher.command`를 더블 클릭하세요", + "ko|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Windows 사용자 참고: 관리자 권한 없이 누락된 프로그램을 설치하기 위해 scoop이 설치됩니다.</i>", + "ko|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**웹 앱 열기**: 터미널에 제공된 URL을 클릭하여 웹 앱에 접속하고 전자책을 변환하세요. `http://localhost:7860/`", + "ko|**For Public Link**:": "**공개 링크의 경우**:", + "ko|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**스크립트를 중지하고 다시 실행하면 Gradio GUI 인터페이스를 새로 고쳐야 합니다<br>", + "ko|to let the web page reconnect to the new connection socket.**": "웹 페이지가 새로운 연결 소켓에 다시 연결될 수 있도록 하기 위해서입니다.**", + "ko|**[--ebook]**: Path to your eBook file": "**[--ebook]**: 전자책 파일의 경로", + "ko|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: 음성 복제 파일 경로(선택 사항)", + "ko|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: ISO-639-3 형식의 언어 코드(예: 이탈리아어는 ita, 영어는 eng, 독일어는 deu...).<br>", + "ko|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "기본 언어는 eng이며, ./lib/lang.py에 설정된 기본 언어의 경우 --language는 선택 사항입니다.<br>", + "ko|The ISO-639-1 2 letters codes are also supported.": "2글자 ISO-639-1 코드도 지원됩니다.", + "ko|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: `model_name.zip` 파일의 경로,", + "ko|which must contain (according to the tts engine) all the mandatory files<br>": "이 파일은 (tts 엔진에 따라) 모든 필수 파일을 포함해야 합니다<br>", + "ko|(see ./lib/models.py).": "(./lib/models.py 참조).", + "ko|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "참고: gradio/gui 모드에서 진행 중인 변환을 취소하려면 전자책 업로드 구성 요소의 [X]를 클릭하기만 하면 됩니다.", + "ko|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "팁: 좀 더 긴 멈춤이 필요하면 3초의 경우 '[pause:3]'을 추가하는 등.", + "ko|Common Docker Issues": "일반적인 Docker 문제", + "ko|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "내 NVIDIA GPU가 감지되지 않나요?? -> [GPU 문제 위키 페이지](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ko|Fine Tuned TTS models": "미세 조정된(fine-tuned) TTS 모델", + "ko|Fine Tune your own XTTSv2 model": "자신만의 XTTSv2 모델을 미세 조정하세요", + "ko|De-noise training data": "학습 데이터의 노이즈 제거", + "ko|Fine Tuned TTS Collection": "미세 조정된 TTS 모델 모음", + "ko|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "커스텀 XTTSv2 모델의 경우 음성의 참조 오디오 클립이 필수입니다:", + "ko|Your own Ebook2Audiobook customization": "자신만의 Ebook2Audiobook 사용자 정의", + "ko|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "원하는 설정을 추가하거나 제거하기 위해 libs/conf.py를 자유롭게 수정할 수 있습니다. 이를 계획하고 있다면, 단순히", + "ko|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "원본 conf.py의 복사본을 만들어 두면 ebook2audiobook을 업데이트할 때마다 수정된 conf.py를 백업하고 원본을", + "ko|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "다시 되돌릴 수 있습니다. models.py에 대해서도 동일한 과정을 계획해야 합니다. 자신만의 커스텀 모델을", + "ko|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "공식 미세 조정된 ebook2audiobook 모델로 만들고 싶다면, 저희에게 연락해 주시면 프리셋 목록에 추가하겠습니다.", + "ko|Common Issues:": "일반적인 문제:", + "ko|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "내 NVIDIA/ROCm/XPU/MPS GPU가 감지되지 않나요?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "ko|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU는 느립니다(서버 SMP CPU에서 더 좋음) 반면 GPU는 거의 실시간 변환이 가능합니다.", + "ko|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(하지만 zero-shot 음성 복제는 없으며 Siri 품질의 음성이지만 cpu에서 훨씬 빠릅니다).", + "ko|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"종속성 문제가 있습니다\" - 그냥 docker를 사용하세요, 완전히 독립적이며 headless 모드가 있습니다,", + "ko|add `--help` parameter at the end of the docker run command for more information.": "자세한 정보는 docker run 명령 끝에 `--help` 매개변수를 추가하세요.", + "ko|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"오디오가 잘리는 문제가 있습니다!\" - 이에 대해 ISSUE를 작성해 주세요,", + "ko|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "저희는 모든 언어를 구사하지 못하며 문장 분할 로직을 미세 조정하기 위해 사용자의 조언이 필요합니다.😊", + "ko|***** ROADMAP *****": "***** 로드맵 *****", + "ko|All Features open to public Contributions ⭐": "모든 기능이 공개 기여에 열려 있습니다 ⭐", + "ko|Any help from people speaking any of the supported languages to help us improve the models ⭐": "모델 개선을 돕기 위해 지원 언어 중 하나를 구사하는 사람들의 모든 도움 ⭐", + "ko|Preview Blocks/Chapters before to start the conversion": "변환을 시작하기 전에 블록/챕터 미리 보기", + "ko|Edit by sentence converted for surgical text change": "정밀한 텍스트 변경을 위해 변환된 문장 단위로 편집", + "ko|SML tags integration for voice, pause, break, and more changes ": "음성, 멈춤, 중단 및 추가 변경을 위한 SML 태그 통합 ", + "ko|-h -help parameter info in different languages": "다양한 언어로 된 -h -help 매개변수 정보", + "ko|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "PDF / JPG / BMP / PNG / TIFF용 OCR 스캔", + "ko|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "노트북 폴더 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "ko|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "중국어 텍스트 분할이 단어를 분리하지 않도록 하고 멈춤 타이밍 개선 [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "ko|Kaggle Notebook": "Kaggle 노트북", + "ko|Google Colab Notebook": "Google Colab 노트북", + "ko|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[iOS 앱 만들기](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ko|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[android 앱 만들기](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ko|Audiobookshelf integration": "Audiobookshelf 통합", + "ko|Extra Options": "추가 옵션", + "ko|Ebook Translation option": "전자책 번역 옵션", + "ko|Output format choices": "출력 형식 선택", + "ko|Batch ebook folder": "일괄 전자책 폴더", + "ko|Multiprocessing conversion": "멀티프로세싱 변환", + "ko|Batch ebook folder conversion": "일괄 전자책 폴더 변환", + "ko|GPU Device detection": "GPU 장치 감지", + "ko|Denoise any reference audio for upload voice cloning,": "업로드된 음성 복제를 위해 모든 참조 오디오의 노이즈 제거,", + "ko|Custom model upload (XTTSv2 only for now. more on request)": "커스텀 모델 업로드(현재로서는 XTTSv2만. 요청 시 추가)", + "ko|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "최소한 xttsv2, fairseq, vits, piper용 유럽 포르투갈어 언어 모델 추가(도움 환영)", + "ko|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "최소한 xttsv2, fairseq, vits, piper용 신디어 언어 모델 추가(도움 환영)", + "ko|Readme Translation": "Readme 번역", + "ko|🐍 OS Compatibility": "🐍 OS 호환성", + "ko|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "모델 학습 등을 위한 추가적인 오버킬(지원되는 모든 Coqui-tts 모델과 piper-tts를 하나의 쉬운 명령으로) ", + "ko|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "이에 관한 정보는 @DrewThomasson, 그가 현재 이것의 개발을 진행하고 있습니다, [작업 중인 저장소는 여기](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "ko|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ljspeech 형식의 학습 레시피에서 모든 coqui-tts 모델을 위한 사용하기 쉬운 학습 gui 만들기 [coqui tts에서 여기](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "ko|Python Code normalization information for contributors": "기여자를 위한 Python 코드 정규화 정보", + "ko|no blank line between code, unless between functions and classes.": "함수와 클래스 사이를 제외하고 코드 사이에 빈 줄 없음.", + "ko|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dict()와 json을 제외한 모든 키에 작은따옴표 사용. dict['key']는 항상 작은따옴표로 호출", + "ko|4 spaces indentation, not tab at all": "4칸 들여쓰기, 탭은 전혀 사용 안 함", + "ko|strict typing for all functions and its arguments declaration and return values": "모든 함수와 그 인수 및 반환 값 선언에 대한 엄격한 타이핑", + "ko|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "인수와 그 타이핑 사이에 공백 없음, 함수, \"->\", 반환 값 사이에 공백 없음", + "ko|Example:": "예시:", + "ko|Hardware donation for beta tests wanted": "베타 테스트를 위한 하드웨어 기부를 찾습니다", + "ko|We accept any kind of hardware to test our development like:": "다음과 같이 개발 테스트를 위한 모든 종류의 하드웨어를 받습니다:", + "ko|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson 어떤 식으로든 돕고 싶으시다면! 😃", + "ko|Do you need to rent a GPU to boost service from us?": "저희 서비스를 강화하기 위해 GPU를 대여해야 하나요?", + "ko|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "설문조사가 여기에서 열려 있습니다 https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "ko|Special Thanks": "특별히 감사드립니다", + "ko|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 더 나은 챕터 저장 방법에 대해](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "ko|TTS engines": "TTS 엔진", + "ko|XTTSv2": "XTTSv2", + "ko|Bark": "나무껍질", + "ko|Fairseq": "페어섹", + "ko|VITS": "VITS", + "ko|Tacotron2": "Tacotron2", + "ko|YourTTS": "YourTTS", + "ko|Tortoise": "땅거북과", + "ko|GlowTTS": "GlowTTS", + "ko|Piper": "바람등칡속", + "ko|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "ko|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "ko|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "ko|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "ko|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "ko|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "ko|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "ko|Supertonic (https://github.com/supertone-inc/supertonic)": "초음파 (https://github.com/supertone-inc/supertonic)", + "ko|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "ko|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "ko|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "ko|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "ko|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "ko|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "ko|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "스타일-TTS2 (https://github.com/yl4579/StyleTTS2)", + "ko|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "ko|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "ko|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "ko|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "vi|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Bộ chuyển đổi CPU/GPU từ sách điện tử sang sách nói với các chương và siêu dữ liệu<br/>", + "vi|using advanced TTS engines and much more.<br/>": "sử dụng các engine TTS tiên tiến và nhiều hơn nữa.<br/>", + "vi|Supports voice cloning and 1158 languages!": "Hỗ trợ nhân bản giọng nói và 1158 ngôn ngữ!", + "vi|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Công cụ này chỉ dành để sử dụng với các sách điện tử không có DRM và được mua hợp pháp.** <br>", + "vi|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Các tác giả không chịu trách nhiệm cho bất kỳ việc lạm dụng phần mềm này hay bất kỳ hậu quả pháp lý nào phát sinh. <br>", + "vi|Use this tool responsibly and in accordance with all applicable laws.": "Hãy sử dụng công cụ này một cách có trách nhiệm và tuân thủ mọi luật hiện hành.", + "vi|Thanks to support ebook2audiobook developers!": "Cảm ơn bạn đã hỗ trợ các nhà phát triển ebook2audiobook!", + "vi|Run locally": "Chạy cục bộ", + "vi|Run Remotely": "Chạy từ xa", + "vi|GUI Interface": "Giao diện đồ họa (GUI)", + "vi|<summary>Click to see images of Web GUI</summary>": "<summary>Nhấp để xem hình ảnh của GUI web</summary>", + "vi|Demos": "Bản demo", + "vi|**New Default Voice Demo** ": "**Bản demo giọng mặc định mới** ", + "vi|<summary>More Demos</summary>": "<summary>Thêm bản demo</summary>", + "vi|**ASMR Voice** ": "**Giọng ASMR** ", + "vi|**Rainy Day Voice** ": "**Giọng ngày mưa** ", + "vi|**Scarlett Voice**": "**Giọng Scarlett**", + "vi|**David Attenborough Voice** ": "**Giọng David Attenborough** ", + "vi|**Example**": "**Ví dụ**", + "vi|Table of Contents": "Mục lục", + "vi|[Features](#features)": "[Tính năng](#features)", + "vi|[GUI Interface](#gui-interface)": "[Giao diện đồ họa](#gui-interface)", + "vi|[Demos](#demos)": "[Bản demo](#demos)", + "vi|[Supported Languages](#supported-languages)": "[Ngôn ngữ được hỗ trợ](#supported-languages)", + "vi|[Minimum Requirements](#hardware-requirements)": "[Yêu cầu tối thiểu](#hardware-requirements)", + "vi|[Usage](#instructions)": "[Cách dùng](#instructions)", + "vi|[Run Locally](#instructions)": "[Chạy cục bộ](#instructions)", + "vi|[Launching Gradio Web Interface](#instructions)": "[Khởi chạy giao diện web Gradio](#instructions)", + "vi|[Basic Headless Usage](#basic-usage)": "[Cách dùng Headless cơ bản](#basic-usage)", + "vi|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Cách dùng mô hình XTTS tùy chỉnh ở chế độ Headless](#example-of-custom-model-zip-upload)", + "vi|[Help command output](#help-command-output)": "[Đầu ra lệnh trợ giúp](#help-command-output)", + "vi|[Run Remotely](#run-remotely)": "[Chạy từ xa](#run-remotely)", + "vi|[Steps to Run](#docker)": "[Các bước để chạy](#docker)", + "vi|[Common Docker Issues](#common-docker-issues)": "[Các vấn đề Docker thường gặp](#common-docker-issues)", + "vi|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Các mô hình TTS đã tinh chỉnh](#fine-tuned-tts-models)", + "vi|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Bộ sưu tập các mô hình TTS đã tinh chỉnh](#fine-tuned-tts-collection)", + "vi|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Huấn luyện XTTSv2](#fine-tune-your-own-xttsv2-model)", + "vi|[Supported eBook Formats](#supported-ebook-formats)": "[Định dạng sách điện tử được hỗ trợ](#supported-ebook-formats)", + "vi|[Output Formats](#output-and-process-formats)": "[Định dạng đầu ra](#output-and-process-formats)", + "vi|[Revert to older Version](#reverting-to-older-versions)": "[Quay lại phiên bản cũ hơn](#reverting-to-older-versions)", + "vi|[Common Issues](#common-issues)": "[Các vấn đề thường gặp](#common-issues)", + "vi|[Special Thanks](#special-thanks)": "[Lời cảm ơn đặc biệt](#special-thanks)", + "vi|[Table of Contents](#table-of-contents)": "[Mục lục](#table-of-contents)", + "vi|Features": "Tính năng", + "vi|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Các engine TTS được hỗ trợ**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "vi|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Chuyển đổi nhiều định dạng tệp**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "vi|💻 **TextArea** to convert directly a short text in audio": "💻 **Vùng văn bản** để chuyển trực tiếp một đoạn văn bản ngắn thành âm thanh", + "vi|🔍 **OCR scanning** for files with text pages as images": "🔍 **Quét OCR** cho các tệp có trang văn bản dưới dạng hình ảnh", + "vi|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Chuyển văn bản thành giọng nói chất lượng cao**, từ gần thời gian thực đến giọng gần như thật", + "vi|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Nhân bản giọng nói tùy chọn** bằng tệp giọng nói của riêng bạn", + "vi|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Hỗ trợ 1158 ngôn ngữ** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "vi|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Thân thiện với tài nguyên thấp** — chạy trên **2 GB RAM / 1 GB VRAM (tối thiểu)**", + "vi|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Định dạng đầu ra sách nói**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "vi|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Hỗ trợ thẻ SML** — kiểm soát chi tiết các điểm ngắt, khoảng dừng, chuyển giọng và hơn thế nữa ([see below](#sml-tags-available))", + "vi|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Mô hình tùy chỉnh tùy chọn** bằng mô hình do bạn tự huấn luyện (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "vi|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Các mô hình thiết lập sẵn đã tinh chỉnh** được huấn luyện bởi Nhóm E2A<br/>", + "vi|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Liên hệ với chúng tôi nếu bạn cần thêm các mô hình đã tinh chỉnh, hoặc nếu bạn muốn chia sẻ mô hình của mình vào danh sách thiết lập sẵn chính thức)</i>", + "vi|Hardware Requirements": "Yêu cầu phần cứng", + "vi|2GB RAM min, 8GB recommended.": "2 GB RAM tối thiểu, 8 GB khuyến nghị.", + "vi|1GB VRAM min, 4GB recommended.": "1 GB VRAM tối thiểu, 4 GB khuyến nghị.", + "vi|Virtualization enabled if running on windows (Docker only).": "Bật ảo hóa nếu chạy trên Windows (chỉ Docker).", + "vi|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "vi|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Các engine TTS hiện đại rất chậm trên CPU, vì vậy hãy dùng TTS chất lượng thấp hơn như YourTTS, Tacotron2, v.v.</i>", + "vi|Supported Languages": "Ngôn ngữ được hỗ trợ", + "vi|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 ngôn ngữ và phương ngữ tại đây**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "vi|Supported eBook Formats": "Định dạng sách điện tử được hỗ trợ", + "vi|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Kết quả tốt nhất**: `.epub` hoặc `.mobi` để tự động phát hiện chương", + "vi|Output and process Formats": "Định dạng đầu ra và xử lý", + "vi|Process format can be changed in lib/conf.py": "Định dạng xử lý có thể được thay đổi trong lib/conf.py", + "vi|SML tags available": "Các thẻ SML có sẵn", + "vi|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — khoảng lặng (phạm vi ngẫu nhiên **0.3–0.6 sec.**)", + "vi|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — khoảng lặng (phạm vi ngẫu nhiên **1.0–1.6 sec.**)", + "vi|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — khoảng dừng cố định (**N sec.**)", + "vi|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — chuyển giọng từ giọng mặc định hoặc giọng được chọn từ GUI/CLI", + "vi|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Hãy xem repo khác của chúng tôi dành riêng cho việc thêm SML tự động vào sách điện tử của bạn -> [E2A-SML](./tools/E2A-SML)**", + "vi|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Trước khi đăng vấn đề cài đặt hoặc lỗi, hãy tìm kiếm cẩn thận trong tab các vấn đề đang mở và đã đóng<br>", + "vi|to be sure your issue does not exist already.**": "để chắc chắn rằng vấn đề của bạn chưa tồn tại.**", + "vi|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Định dạng EPUB thiếu bất kỳ cấu trúc chuẩn nào như thế nào là một chương, đoạn văn, lời nói đầu, v.v.<br>", + "vi|So you should first remove manually any text you don't want to be converted in audio.**": "Vì vậy, trước tiên bạn nên xóa thủ công bất kỳ văn bản nào bạn không muốn chuyển thành âm thanh.**", + "vi|**Install / Run ebook2audiobook**:": "**Cài đặt / Chạy ebook2audiobook**:", + "vi|**Mac Launcher** ": "**Trình khởi chạy Mac** ", + "vi|Double click `Mac Ebook2Audiobook Launcher.command`": "Nhấp đúp vào `Mac Ebook2Audiobook Launcher.command`", + "vi|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Lưu ý cho người dùng Windows: scoop được cài đặt để cài các chương trình còn thiếu mà không cần quyền quản trị viên.</i>", + "vi|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Mở ứng dụng Web**: Nhấp vào URL được cung cấp trong terminal để truy cập ứng dụng web và chuyển đổi sách điện tử. `http://localhost:7860/`", + "vi|**For Public Link**:": "**Để có liên kết công khai**:", + "vi|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Nếu tập lệnh bị dừng và chạy lại, bạn cần làm mới giao diện GUI Gradio của mình<br>", + "vi|to let the web page reconnect to the new connection socket.**": "để trang web kết nối lại với socket kết nối mới.**", + "vi|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Đường dẫn đến tệp sách điện tử của bạn", + "vi|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Đường dẫn tệp nhân bản giọng nói (tùy chọn)", + "vi|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Mã ngôn ngữ ở ISO-639-3 (ví dụ: ita cho tiếng Ý, eng cho tiếng Anh, deu cho tiếng Đức...).<br>", + "vi|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Ngôn ngữ mặc định là eng và --language là tùy chọn cho ngôn ngữ mặc định được đặt trong ./lib/lang.py.<br>", + "vi|The ISO-639-1 2 letters codes are also supported.": "Các mã ISO-639-1 gồm 2 chữ cái cũng được hỗ trợ.", + "vi|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Đường dẫn đến tệp `model_name.zip`,", + "vi|which must contain (according to the tts engine) all the mandatory files<br>": "tệp này phải chứa (tùy theo engine tts) tất cả các tệp bắt buộc<br>", + "vi|(see ./lib/models.py).": "(xem ./lib/models.py).", + "vi|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "LƯU Ý: ở chế độ gradio/gui, để hủy một quá trình chuyển đổi đang chạy, chỉ cần nhấp vào [X] trên thành phần tải lên sách điện tử.", + "vi|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "MẸO: nếu cần thêm khoảng dừng, hãy thêm '[pause:3]' cho 3 giây, v.v.", + "vi|Common Docker Issues": "Các vấn đề Docker thường gặp", + "vi|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU NVIDIA của tôi không được phát hiện?? -> [Trang Wiki VẤN ĐỀ GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "vi|Fine Tuned TTS models": "Các mô hình TTS đã tinh chỉnh (fine-tuned)", + "vi|Fine Tune your own XTTSv2 model": "Tinh chỉnh mô hình XTTSv2 của riêng bạn", + "vi|De-noise training data": "Khử nhiễu dữ liệu huấn luyện", + "vi|Fine Tuned TTS Collection": "Bộ sưu tập các mô hình TTS đã tinh chỉnh", + "vi|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Đối với mô hình tùy chỉnh XTTSv2, một đoạn âm thanh tham chiếu của giọng nói là bắt buộc:", + "vi|Your own Ebook2Audiobook customization": "Tùy chỉnh Ebook2Audiobook của riêng bạn", + "vi|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Bạn được tự do sửa đổi libs/conf.py để thêm hoặc bớt các cài đặt mà bạn muốn. Nếu định làm vậy, chỉ cần tạo", + "vi|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "một bản sao của conf.py gốc để mỗi lần cập nhật ebook2audiobook bạn sẽ sao lưu conf.py đã sửa đổi của mình và đặt", + "vi|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "lại bản gốc. Bạn phải lên kế hoạch cho quy trình tương tự với models.py. Nếu bạn muốn biến mô hình tùy chỉnh của riêng mình", + "vi|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "thành một mô hình ebook2audiobook đã tinh chỉnh chính thức, vui lòng liên hệ với chúng tôi và chúng tôi sẽ thêm nó vào danh sách thiết lập sẵn.", + "vi|Common Issues:": "Các vấn đề thường gặp:", + "vi|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU NVIDIA/ROCm/XPU/MPS của tôi không được phát hiện?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "vi|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU chậm (tốt hơn trên CPU smp máy chủ) trong khi GPU có thể chuyển đổi gần như thời gian thực.", + "vi|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Tuy nhiên nó không có nhân bản giọng nói zero-shot, và là giọng chất lượng Siri, nhưng nhanh hơn nhiều trên cpu).", + "vi|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Tôi gặp vấn đề về phụ thuộc\" - Chỉ cần dùng docker, nó hoàn toàn độc lập và có chế độ headless,", + "vi|add `--help` parameter at the end of the docker run command for more information.": "thêm tham số `--help` ở cuối lệnh docker run để biết thêm thông tin.", + "vi|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Tôi gặp vấn đề âm thanh bị cắt cụt!\" - VUI LÒNG TẠO MỘT ISSUE VỀ VIỆC NÀY,", + "vi|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "chúng tôi không nói được mọi ngôn ngữ và cần lời khuyên từ người dùng để tinh chỉnh logic chia câu.😊", + "vi|***** ROADMAP *****": "***** LỘ TRÌNH *****", + "vi|All Features open to public Contributions ⭐": "Tất cả các Tính năng đều mở cho Đóng góp công khai ⭐", + "vi|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Mọi sự giúp đỡ từ những người nói bất kỳ ngôn ngữ nào được hỗ trợ để giúp chúng tôi cải thiện các mô hình ⭐", + "vi|Preview Blocks/Chapters before to start the conversion": "Xem trước các Khối/Chương trước khi bắt đầu chuyển đổi", + "vi|Edit by sentence converted for surgical text change": "Chỉnh sửa theo từng câu đã chuyển đổi để thay đổi văn bản chính xác", + "vi|SML tags integration for voice, pause, break, and more changes ": "Tích hợp thẻ SML cho giọng nói, khoảng dừng, điểm ngắt và nhiều thay đổi hơn ", + "vi|-h -help parameter info in different languages": "Thông tin tham số -h -help bằng các ngôn ngữ khác nhau", + "vi|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Quét OCR cho PDF / JPG / BMP / PNG / TIFF", + "vi|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Thư mục Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "vi|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Làm cho việc chia văn bản tiếng Trung không cắt từ và cải thiện thời gian dừng [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "vi|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Tạo một ứng dụng IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "vi|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Tạo một ứng dụng android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "vi|Audiobookshelf integration": "Tích hợp Audiobookshelf", + "vi|Extra Options": "Tùy chọn bổ sung", + "vi|Ebook Translation option": "Tùy chọn dịch sách điện tử", + "vi|Output format choices": "Các lựa chọn định dạng đầu ra", + "vi|Batch ebook folder": "Thư mục sách điện tử theo lô", + "vi|Multiprocessing conversion": "Chuyển đổi đa xử lý", + "vi|Batch ebook folder conversion": "Chuyển đổi thư mục sách điện tử theo lô", + "vi|GPU Device detection": "Phát hiện thiết bị GPU", + "vi|Denoise any reference audio for upload voice cloning,": "Khử nhiễu bất kỳ âm thanh tham chiếu nào cho việc tải lên nhân bản giọng nói,", + "vi|Custom model upload (XTTSv2 only for now. more on request)": "Tải lên mô hình tùy chỉnh (hiện chỉ XTTSv2. thêm theo yêu cầu)", + "vi|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Thêm mô hình ngôn ngữ tiếng Bồ Đào Nha châu Âu cho ít nhất xttsv2, fairseq, vits, piper (hoan nghênh sự giúp đỡ)", + "vi|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Thêm mô hình ngôn ngữ tiếng Sindhi cho ít nhất xttsv2, fairseq, vits, piper (hoan nghênh sự giúp đỡ)", + "vi|Readme Translation": "Dịch Readme", + "vi|🐍 OS Compatibility": "🐍 Khả năng tương thích hệ điều hành", + "vi|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Phần thừa thãi để huấn luyện mô hình và những thứ tương tự (tất cả các mô hình Coqui-tts được hỗ trợ và piper-tts trong một lệnh đơn giản) ", + "vi|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Để biết thông tin về việc này @DrewThomasson, anh ấy hiện đang phát triển nó, [repo đang trong quá trình thực hiện tại đây](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "vi|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Tạo một gui huấn luyện dễ sử dụng cho tất cả các mô hình coqui-tts trong các công thức huấn luyện định dạng ljspeech [tại đây từ coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "vi|Python Code normalization information for contributors": "Thông tin chuẩn hóa mã Python cho người đóng góp", + "vi|no blank line between code, unless between functions and classes.": "không có dòng trống giữa mã, ngoại trừ giữa các hàm và lớp.", + "vi|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "dấu nháy đơn được dùng cho tất cả khóa ngoại trừ dict() và json. dict['key'] luôn được gọi bằng dấu nháy đơn", + "vi|4 spaces indentation, not tab at all": "thụt lề 4 dấu cách, hoàn toàn không dùng tab", + "vi|strict typing for all functions and its arguments declaration and return values": "định kiểu nghiêm ngặt cho tất cả các hàm cũng như khai báo đối số và giá trị trả về của chúng", + "vi|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "không có dấu cách giữa đối số và định kiểu của nó, không có dấu cách giữa hàm, \"->\" và giá trị trả về", + "vi|Example:": "Ví dụ:", + "vi|Hardware donation for beta tests wanted": "Cần quyên góp phần cứng cho việc thử nghiệm beta", + "vi|We accept any kind of hardware to test our development like:": "Chúng tôi chấp nhận bất kỳ loại phần cứng nào để thử nghiệm quá trình phát triển của mình, chẳng hạn như:", + "vi|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson nếu bạn muốn giúp đỡ bằng bất kỳ cách nào! 😃", + "vi|Do you need to rent a GPU to boost service from us?": "Bạn có cần thuê GPU để tăng cường dịch vụ từ chúng tôi không?", + "vi|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Một cuộc thăm dò đang mở tại đây https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "vi|Special Thanks": "Lời cảm ơn đặc biệt", + "vi|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 vì phương pháp lưu chương tốt hơn](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "vi|TTS engines": "Động cơ TTS", + "vi|XTTSv2": "XTTSv2", + "vi|Bark": "Vỏ cây", + "vi|Fairseq": "Fairseq", + "vi|VITS": "VITS", + "vi|Tacotron2": "Tacotron2", + "vi|YourTTS": "YourTTS", + "vi|Tortoise": "Huyền Vũ", + "vi|GlowTTS": "GlowTTS", + "vi|Piper": "Piper.", + "vi|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "vi|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "vi|fish-speech (https://github.com/fishaudio/fish-speech)": "tiếng cá (https://github.com/fishaudio/fish-speech)", + "vi|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "vi|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "vi|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "vi|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "vi|Supertonic (https://github.com/supertone-inc/supertonic)": "Siêu âm (https://github.com/supertone-inc/supertonic)", + "vi|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "vi|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "vi|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "vi|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "vi|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "vi|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "vi|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Kiểu-TTS2 (https://github.com/yl4579/StyleTTS2)", + "vi|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "vi|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "vi|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "vi|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "sv|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU-omvandlare från e-bok till ljudbok med kapitel och metadata<br/>", + "sv|using advanced TTS engines and much more.<br/>": "med avancerade TTS-motorer och mycket mer.<br/>", + "sv|Supports voice cloning and 1158 languages!": "Stöder röstkloning och 1158 språk!", + "sv|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Detta verktyg är endast avsett att användas med DRM-fria, lagligt förvärvade e-böcker.** <br>", + "sv|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Författarna ansvarar inte för något missbruk av denna programvara eller för eventuella rättsliga följder. <br>", + "sv|Use this tool responsibly and in accordance with all applicable laws.": "Använd detta verktyg ansvarsfullt och i enlighet med alla tillämpliga lagar.", + "sv|Thanks to support ebook2audiobook developers!": "Tack för att du stöder utvecklarna av ebook2audiobook!", + "sv|Run locally": "Kör lokalt", + "sv|Run Remotely": "Kör på distans", + "sv|GUI Interface": "Grafiskt gränssnitt (GUI)", + "sv|<summary>Click to see images of Web GUI</summary>": "<summary>Klicka för att se bilder på webb-GUI:t</summary>", + "sv|**New Default Voice Demo** ": "**Demo av den nya standardrösten** ", + "sv|<summary>More Demos</summary>": "<summary>Fler demos</summary>", + "sv|**ASMR Voice** ": "**ASMR-röst** ", + "sv|**Rainy Day Voice** ": "**Regnig dag-röst** ", + "sv|**Scarlett Voice**": "**Scarlett-röst**", + "sv|**David Attenborough Voice** ": "**David Attenborough-röst** ", + "sv|**Example**": "**Exempel**", + "sv|Table of Contents": "Innehållsförteckning", + "sv|[Features](#features)": "[Funktioner](#features)", + "sv|[GUI Interface](#gui-interface)": "[Grafiskt gränssnitt](#gui-interface)", + "sv|[Supported Languages](#supported-languages)": "[Språk som stöds](#supported-languages)", + "sv|[Minimum Requirements](#hardware-requirements)": "[Minimikrav](#hardware-requirements)", + "sv|[Usage](#instructions)": "[Användning](#instructions)", + "sv|[Run Locally](#instructions)": "[Kör lokalt](#instructions)", + "sv|[Launching Gradio Web Interface](#instructions)": "[Starta Gradio-webbgränssnittet](#instructions)", + "sv|[Basic Headless Usage](#basic-usage)": "[Grundläggande användning i headless-läge](#basic-usage)", + "sv|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Användning av anpassad XTTS-modell i headless-läge](#example-of-custom-model-zip-upload)", + "sv|[Help command output](#help-command-output)": "[Utdata från hjälpkommandot](#help-command-output)", + "sv|[Run Remotely](#run-remotely)": "[Kör på distans](#run-remotely)", + "sv|[Steps to Run](#docker)": "[Steg för att köra](#docker)", + "sv|[Common Docker Issues](#common-docker-issues)": "[Vanliga Docker-problem](#common-docker-issues)", + "sv|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Finjusterade TTS-modeller](#fine-tuned-tts-models)", + "sv|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Samling av finjusterade TTS-modeller](#fine-tuned-tts-collection)", + "sv|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Träna XTTSv2](#fine-tune-your-own-xttsv2-model)", + "sv|[Supported eBook Formats](#supported-ebook-formats)": "[E-boksformat som stöds](#supported-ebook-formats)", + "sv|[Output Formats](#output-and-process-formats)": "[Utdataformat](#output-and-process-formats)", + "sv|[Revert to older Version](#reverting-to-older-versions)": "[Återgå till en äldre version](#reverting-to-older-versions)", + "sv|[Common Issues](#common-issues)": "[Vanliga problem](#common-issues)", + "sv|[Special Thanks](#special-thanks)": "[Särskilt tack](#special-thanks)", + "sv|[Table of Contents](#table-of-contents)": "[Innehållsförteckning](#table-of-contents)", + "sv|Features": "Funktioner", + "sv|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **TTS-motorer som stöds**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "sv|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Konvertera flera filformat**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "sv|💻 **TextArea** to convert directly a short text in audio": "💻 **Textområde** för att direkt konvertera en kort text till ljud", + "sv|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR-skanning** för filer med textsidor som bilder", + "sv|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Högkvalitativ text-till-tal**, från nära realtid till en nästan verklig röst", + "sv|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Valfri röstkloning** med din egen röstfil", + "sv|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Stöder 1158 språk** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "sv|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Resurssnål** — körs på **2 GB RAM / 1 GB VRAM (minimum)**", + "sv|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Utdataformat för ljudbok**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "sv|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **SML-taggar stöds** — finkornig kontroll av avbrott, pauser, röstbyte och mer ([see below](#sml-tags-available))", + "sv|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Valfri anpassad modell** med din egen tränade modell (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "sv|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Finjusterade förinställda modeller** tränade av E2A-teamet<br/>", + "sv|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kontakta oss om du behöver ytterligare finjusterade modeller, eller om du vill dela dina egna i den officiella förinställningslistan)</i>", + "sv|Hardware Requirements": "Hårdvarukrav", + "sv|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB rekommenderas.", + "sv|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB rekommenderas.", + "sv|Virtualization enabled if running on windows (Docker only).": "Virtualisering aktiverad vid körning på Windows (endast Docker).", + "sv|MPS (Apple Silicon CPU)": "MPS (Apple Silicon-CPU)", + "sv|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderna TTS-motorer är mycket långsamma på CPU, så använd TTS av lägre kvalitet som YourTTS, Tacotron2 osv.</i>", + "sv|Supported Languages": "Språk som stöds", + "sv|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 språk och dialekter här**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "sv|Supported eBook Formats": "E-boksformat som stöds", + "sv|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Bästa resultat**: `.epub` eller `.mobi` för automatisk kapiteldetektering", + "sv|Output and process Formats": "Utdata- och bearbetningsformat", + "sv|Process format can be changed in lib/conf.py": "Bearbetningsformatet kan ändras i lib/conf.py", + "sv|SML tags available": "Tillgängliga SML-taggar", + "sv|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — tystnad (slumpmässigt intervall **0.3–0.6 sec.**)", + "sv|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — tystnad (slumpmässigt intervall **1.0–1.6 sec.**)", + "sv|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — fast paus (**N sec.**)", + "sv|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — byt röst från standard- eller vald röst från GUI/CLI", + "sv|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Kolla in vårt andra repo som är dedikerat till att lägga till SML automatiskt i din e-bok -> [E2A-SML](./tools/E2A-SML)**", + "sv|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Innan du rapporterar ett installations- eller buggproblem, sök noggrant i fliken med öppna och stängda ärenden<br>", + "sv|to be sure your issue does not exist already.**": "för att vara säker på att ditt problem inte redan finns.**", + "sv|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**EPUB-formatet saknar all standardstruktur för vad som är ett kapitel, ett stycke, ett förord osv.<br>", + "sv|So you should first remove manually any text you don't want to be converted in audio.**": "Du bör därför först manuellt ta bort all text som du inte vill omvandla till ljud.**", + "sv|**Install / Run ebook2audiobook**:": "**Installera / Kör ebook2audiobook**:", + "sv|**Mac Launcher** ": "**Mac-startprogram** ", + "sv|Double click `Mac Ebook2Audiobook Launcher.command`": "Dubbelklicka på `Mac Ebook2Audiobook Launcher.command`", + "sv|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Notera för Windows-användare: scoop installeras för att installera saknade program utan administratörsbehörighet.</i>", + "sv|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Öppna webbappen**: Klicka på URL:en som anges i terminalen för att komma åt webbappen och konvertera e-böcker. `http://localhost:7860/`", + "sv|**For Public Link**:": "**För en offentlig länk**:", + "sv|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Om skriptet stoppas och körs igen måste du uppdatera ditt Gradio-GUI-gränssnitt<br>", + "sv|to let the web page reconnect to the new connection socket.**": "så att webbsidan kan återansluta till den nya anslutningssocketen.**", + "sv|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Sökväg till din e-boksfil", + "sv|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Sökväg till fil för röstkloning (valfritt)", + "sv|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Språkkod i ISO-639-3 (dvs.: ita för italienska, eng för engelska, deu för tyska...).<br>", + "sv|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Standardspråket är eng och --language är valfritt för standardspråket som anges i ./lib/lang.py.<br>", + "sv|The ISO-639-1 2 letters codes are also supported.": "De tvåbokstaviga ISO-639-1-koderna stöds också.", + "sv|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Sökväg till filen `model_name.zip`,", + "sv|which must contain (according to the tts engine) all the mandatory files<br>": "som måste innehålla (beroende på TTS-motorn) alla obligatoriska filer<br>", + "sv|(see ./lib/models.py).": "(se ./lib/models.py).", + "sv|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NOTERA: i gradio/gui-läget avbryter du en pågående konvertering genom att helt enkelt klicka på [X] i komponenten för e-boksuppladdning.", + "sv|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIPS: om det behövs lite mer paus, lägg till '[pause:3]' för 3 sek. osv.", + "sv|Common Docker Issues": "Vanliga Docker-problem", + "sv|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Min NVIDIA-GPU upptäcks inte?? -> [Wiki-sida om GPU-PROBLEM](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sv|Fine Tuned TTS models": "Finjusterade (fine-tuned) TTS-modeller", + "sv|Fine Tune your own XTTSv2 model": "Finjustera din egen XTTSv2-modell", + "sv|De-noise training data": "Brusreducera träningsdata", + "sv|Fine Tuned TTS Collection": "Samling av finjusterade TTS-modeller", + "sv|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "För en anpassad XTTSv2-modell är ett referensljudklipp av rösten obligatoriskt:", + "sv|Your own Ebook2Audiobook customization": "Din egen anpassning av Ebook2Audiobook", + "sv|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Du är fri att ändra libs/conf.py för att lägga till eller ta bort de inställningar du vill. Om du planerar att göra det, gör helt enkelt", + "sv|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "en kopia av den ursprungliga conf.py så att du vid varje ebook2audiobook-uppdatering kan säkerhetskopiera din ändrade conf.py och lägga", + "sv|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "tillbaka originalet. Du måste planera samma process för models.py. Om du vill göra din egen anpassade modell", + "sv|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "till en officiell finjusterad ebook2audiobook-modell, kontakta oss så lägger vi till den i förinställningslistan.", + "sv|Common Issues:": "Vanliga problem:", + "sv|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Min NVIDIA/ROCm/XPU/MPS-GPU upptäcks inte?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sv|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU:n är långsam (bättre på en server-SMP-CPU) medan GPU:n kan ha nästan realtidskonvertering.", + "sv|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Den har dock inte zero-shot-röstkloning, och rösterna är av Siri-kvalitet, men den är mycket snabbare på CPU).", + "sv|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Jag har problem med beroenden\" - Använd bara Docker, den är helt fristående och har ett headless-läge,", + "sv|add `--help` parameter at the end of the docker run command for more information.": "lägg till parametern `--help` i slutet av docker run-kommandot för mer information.", + "sv|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Jag har ett problem med avklippt ljud!\" - VÄNLIGEN SKAPA ETT ÄRENDE OM DETTA,", + "sv|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "vi talar inte alla språk och behöver råd från användare för att finjustera logiken för meningsdelning.😊", + "sv|***** ROADMAP *****": "***** FÄRDPLAN *****", + "sv|All Features open to public Contributions ⭐": "Alla funktioner öppna för offentliga bidrag ⭐", + "sv|Any help from people speaking any of the supported languages to help us improve the models ⭐": "All hjälp från personer som talar något av de språk som stöds för att hjälpa oss förbättra modellerna ⭐", + "sv|Preview Blocks/Chapters before to start the conversion": "Förhandsgranska block/kapitel innan konverteringen startar", + "sv|Edit by sentence converted for surgical text change": "Redigering per konverterad mening för kirurgisk textändring", + "sv|SML tags integration for voice, pause, break, and more changes ": "Integrering av SML-taggar för röst, paus, avbrott och fler ändringar ", + "sv|-h -help parameter info in different languages": "Info om parametrarna -h -help på olika språk", + "sv|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR-skanning för PDF / JPG / BMP / PNG / TIFF", + "sv|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Notebooks-mapp [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "sv|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Få kinesisk textdelning att inte dela ord och förbättra pausernas timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "sv|Kaggle Notebook": "Kaggle-notebook", + "sv|Google Colab Notebook": "Google Colab-notebook", + "sv|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Skapa en iOS-app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sv|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Skapa en Android-app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sv|Audiobookshelf integration": "Audiobookshelf-integrering", + "sv|Extra Options": "Extra alternativ", + "sv|Ebook Translation option": "Alternativ för e-boksöversättning", + "sv|Output format choices": "Val av utdataformat", + "sv|Batch ebook folder": "Batch-e-boksmapp", + "sv|Multiprocessing conversion": "Konvertering med multiprocessing", + "sv|Batch ebook folder conversion": "Batchkonvertering av en e-boksmapp", + "sv|GPU Device detection": "Detektering av GPU-enhet", + "sv|Denoise any reference audio for upload voice cloning,": "Brusreducera valfritt referensljud för uppladdad röstkloning,", + "sv|Custom model upload (XTTSv2 only for now. more on request)": "Uppladdning av anpassad modell (endast XTTSv2 för närvarande. mer på begäran)", + "sv|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Lägg till en europeisk portugisisk språkmodell för åtminstone xttsv2, fairseq, vits, piper (hjälp välkomnas)", + "sv|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Lägg till en sindhi-språkmodell för åtminstone xttsv2, fairseq, vits, piper (hjälp välkomnas)", + "sv|Readme Translation": "Readme-översättning", + "sv|🐍 OS Compatibility": "🐍 Kompatibilitet med operativsystem", + "sv|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra overkill för att träna modeller och liknande (alla Coqui-tts-modeller som stöds och piper-tts i ett enkelt kommando) ", + "sv|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "För information om detta: @DrewThomasson arbetar för närvarande med utvecklingen av detta, [pågående repo här](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "sv|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Skapa ett lättanvänt tränings-GUI för alla coqui-tts-modeller i träningsrecepten i ljspeech-format [här från coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "sv|Python Code normalization information for contributors": "Information om normalisering av Python-kod för bidragsgivare", + "sv|no blank line between code, unless between functions and classes.": "ingen tom rad mellan koden, utom mellan funktioner och klasser.", + "sv|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "enkla citattecken används för alla nycklar utom för dict() och json. dict['key'] anropas alltid med enkla citattecken", + "sv|4 spaces indentation, not tab at all": "4 mellanslags indrag, inga tabbar alls", + "sv|strict typing for all functions and its arguments declaration and return values": "strikt typning för alla funktioner och deklarationen av deras argument och returvärden", + "sv|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "inget mellanslag mellan argumentet och dess typning, inget mellanslag mellan funktionen, \"->\" och returvärdet", + "sv|Example:": "Exempel:", + "sv|Hardware donation for beta tests wanted": "Hårdvarudonation för betatester sökes", + "sv|We accept any kind of hardware to test our development like:": "Vi tar emot alla typer av hårdvara för att testa vår utveckling, till exempel:", + "sv|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson om du vill hjälpa till på något sätt! 😃", + "sv|Do you need to rent a GPU to boost service from us?": "Behöver du hyra en GPU för att förstärka vår tjänst?", + "sv|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "En omröstning är öppen här https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "sv|Special Thanks": "Särskilt tack", + "sv|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 för en bättre metod att spara kapitel](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "sv|TTS engines": "TTS-motorer", + "sv|XTTSv2": "XTTSv2", + "sv|Bark": "Bark", + "sv|Fairseq": "Fairseq", + "sv|VITS": "VITS", + "sv|Tacotron2": "Tacotron2", + "sv|YourTTS": "YourTTS", + "sv|Tortoise": "Landsköldpaddor", + "sv|GlowTTS": "GlowTTS", + "sv|Piper": "Piper", + "sv|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "sv|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "sv|fish-speech (https://github.com/fishaudio/fish-speech)": "fisk-tal (https://github.com/fishaudio/fish-speech)", + "sv|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "sv|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "sv|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "sv|chatterbox (https://github.com/resemble-ai/chatterbox)": "chattlåda (https://github.com/resemble-ai/chatterbox)", + "sv|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonisk (https://github.com/supertone-inc/supertonic)", + "sv|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "sv|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "sv|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "sv|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "sv|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "sv|Zonos (https://github.com/Zyphra/Zonos)": "Zoner (https://github.com/Zyphra/Zonos)", + "sv|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Stil-TTS2 (https://github.com/yl4579/StyleTTS2)", + "sv|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "sv|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "sv|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "sv|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "fa|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "مبدل CPU/GPU از کتاب الکترونیکی به کتاب صوتی همراه با فصل‌ها و فراداده<br/>", + "fa|using advanced TTS engines and much more.<br/>": "با استفاده از موتورهای پیشرفته TTS و موارد دیگر.<br/>", + "fa|Supports voice cloning and 1158 languages!": "از شبیه‌سازی صدا و ۱۱۵۸ زبان پشتیبانی می‌کند!", + "fa|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**این ابزار تنها برای استفاده با کتاب‌های الکترونیکی فاقد DRM که به‌صورت قانونی به دست آمده‌اند، در نظر گرفته شده است.** <br>", + "fa|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "نویسندگان مسئول هیچ‌گونه سوءاستفاده از این نرم‌افزار یا هرگونه پیامد قانونی ناشی از آن نیستند. <br>", + "fa|Use this tool responsibly and in accordance with all applicable laws.": "از این ابزار مسئولانه و در چارچوب تمام قوانین قابل اجرا استفاده کنید.", + "fa|Thanks to support ebook2audiobook developers!": "از پشتیبانی شما از توسعه‌دهندگان ebook2audiobook سپاسگزاریم!", + "fa|Run locally": "اجرای محلی", + "fa|Run Remotely": "اجرای از راه دور", + "fa|GUI Interface": "رابط گرافیکی (GUI)", + "fa|<summary>Click to see images of Web GUI</summary>": "<summary>برای دیدن تصاویر رابط گرافیکی وب کلیک کنید</summary>", + "fa|Demos": "نمونه‌ها", + "fa|**New Default Voice Demo** ": "**نمونه صدای پیش‌فرض جدید** ", + "fa|<summary>More Demos</summary>": "<summary>نمونه‌های بیشتر</summary>", + "fa|**ASMR Voice** ": "**صدای ASMR** ", + "fa|**Rainy Day Voice** ": "**صدای روز بارانی** ", + "fa|**Scarlett Voice**": "**صدای اسکارلت**", + "fa|**David Attenborough Voice** ": "**صدای دیوید اتنبرو** ", + "fa|**Example**": "**نمونه**", + "fa|Table of Contents": "فهرست مطالب", + "fa|[Features](#features)": "[ویژگی‌ها](#features)", + "fa|[GUI Interface](#gui-interface)": "[رابط گرافیکی](#gui-interface)", + "fa|[Demos](#demos)": "[نمونه‌ها](#demos)", + "fa|[Supported Languages](#supported-languages)": "[زبان‌های پشتیبانی‌شده](#supported-languages)", + "fa|[Minimum Requirements](#hardware-requirements)": "[حداقل نیازمندی‌ها](#hardware-requirements)", + "fa|[Usage](#instructions)": "[استفاده](#instructions)", + "fa|[Run Locally](#instructions)": "[اجرای محلی](#instructions)", + "fa|[Launching Gradio Web Interface](#instructions)": "[راه‌اندازی رابط وب Gradio](#instructions)", + "fa|[Basic Headless Usage](#basic-usage)": "[استفاده پایه بدون رابط](#basic-usage)", + "fa|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[استفاده از مدل سفارشی XTTS بدون رابط](#example-of-custom-model-zip-upload)", + "fa|[Help command output](#help-command-output)": "[خروجی دستور راهنما](#help-command-output)", + "fa|[Run Remotely](#run-remotely)": "[اجرای از راه دور](#run-remotely)", + "fa|[Steps to Run](#docker)": "[مراحل اجرا](#docker)", + "fa|[Common Docker Issues](#common-docker-issues)": "[مشکلات رایج Docker](#common-docker-issues)", + "fa|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[مدل‌های TTS تنظیم‌دقیق‌شده](#fine-tuned-tts-models)", + "fa|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[مجموعه مدل‌های TTS تنظیم‌دقیق‌شده](#fine-tuned-tts-collection)", + "fa|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[آموزش XTTSv2](#fine-tune-your-own-xttsv2-model)", + "fa|[Supported eBook Formats](#supported-ebook-formats)": "[قالب‌های کتاب الکترونیکی پشتیبانی‌شده](#supported-ebook-formats)", + "fa|[Output Formats](#output-and-process-formats)": "[قالب‌های خروجی](#output-and-process-formats)", + "fa|[Revert to older Version](#reverting-to-older-versions)": "[بازگشت به نسخه قدیمی‌تر](#reverting-to-older-versions)", + "fa|[Common Issues](#common-issues)": "[مشکلات رایج](#common-issues)", + "fa|[Special Thanks](#special-thanks)": "[تشکر ویژه](#special-thanks)", + "fa|[Table of Contents](#table-of-contents)": "[فهرست مطالب](#table-of-contents)", + "fa|Features": "ویژگی‌ها", + "fa|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **موتورهای TTS پشتیبانی‌شده**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "fa|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **تبدیل چندین قالب فایل**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "fa|💻 **TextArea** to convert directly a short text in audio": "💻 **ناحیه متن** برای تبدیل مستقیم یک متن کوتاه به صدا", + "fa|🔍 **OCR scanning** for files with text pages as images": "🔍 **اسکن OCR** برای فایل‌هایی با صفحات متنی به‌صورت تصویر", + "fa|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **تبدیل متن به گفتار باکیفیت**، از تقریباً بلادرنگ تا صدایی تقریباً واقعی", + "fa|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **شبیه‌سازی صدای اختیاری** با استفاده از فایل صوتی خودتان", + "fa|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **از ۱۱۵۸ زبان پشتیبانی می‌کند** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "fa|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **سازگار با منابع کم** — روی **2 GB RAM / 1 GB VRAM (حداقل)** اجرا می‌شود", + "fa|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **قالب‌های خروجی کتاب صوتی**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "fa|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **برچسب‌های SML پشتیبانی می‌شوند** — کنترل دقیق وقفه‌ها، مکث‌ها، تعویض صدا و موارد بیشتر ([see below](#sml-tags-available))", + "fa|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **مدل سفارشی اختیاری** با استفاده از مدل آموزش‌دیده خودتان (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "fa|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **مدل‌های پیش‌تنظیم تنظیم‌دقیق‌شده** که توسط تیم E2A آموزش دیده‌اند<br/>", + "fa|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(اگر به مدل‌های تنظیم‌دقیق‌شده بیشتری نیاز دارید، یا اگر می‌خواهید مدل‌های خود را در فهرست پیش‌تنظیم رسمی به اشتراک بگذارید، با ما تماس بگیرید)</i>", + "fa|Hardware Requirements": "نیازمندی‌های سخت‌افزاری", + "fa|2GB RAM min, 8GB recommended.": "۲ گیگابایت RAM حداقل، ۸ گیگابایت توصیه‌شده.", + "fa|1GB VRAM min, 4GB recommended.": "۱ گیگابایت VRAM حداقل، ۴ گیگابایت توصیه‌شده.", + "fa|Virtualization enabled if running on windows (Docker only).": "مجازی‌سازی هنگام اجرا روی windows فعال باشد (فقط Docker).", + "fa|CPU, XPU (intel, AMD, ARM)*.": "CPU، XPU (intel، AMD، ARM)*.", + "fa|CUDA, ROCm, JETSON": "CUDA، ROCm، JETSON", + "fa|MPS (Apple Silicon CPU)": "MPS (پردازنده Apple Silicon)", + "fa|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> موتورهای مدرن TTS روی CPU بسیار کند هستند، بنابراین از TTS با کیفیت پایین‌تر مانند YourTTS، Tacotron2 و غیره استفاده کنید.</i>", + "fa|Supported Languages": "زبان‌های پشتیبانی‌شده", + "fa|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+۱۱۳۰ زبان و گویش در اینجا**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "fa|Supported eBook Formats": "قالب‌های کتاب الکترونیکی پشتیبانی‌شده", + "fa|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**بهترین نتایج**: `.epub` یا `.mobi` برای تشخیص خودکار فصل‌ها", + "fa|Output and process Formats": "قالب‌های خروجی و پردازش", + "fa|Process format can be changed in lib/conf.py": "قالب پردازش را می‌توان در lib/conf.py تغییر داد", + "fa|SML tags available": "برچسب‌های SML موجود", + "fa|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — سکوت (بازه تصادفی **0.3–0.6 sec.**)", + "fa|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — سکوت (بازه تصادفی **1.0–1.6 sec.**)", + "fa|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — مکث ثابت (**N sec.**)", + "fa|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — تعویض صدا از صدای پیش‌فرض یا انتخاب‌شده از GUI/CLI", + "fa|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**مخزن دیگر ما را که به افزودن خودکار SML در کتاب الکترونیکی شما اختصاص دارد، بررسی کنید -> [E2A-SML](./tools/E2A-SML)**", + "fa|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**پیش از ارسال مشکل نصب یا باگ، با دقت در زبانه مسائل باز و بسته جستجو کنید<br>", + "fa|to be sure your issue does not exist already.**": "تا مطمئن شوید مشکل شما از قبل وجود ندارد.**", + "fa|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**قالب EPUB فاقد هرگونه ساختار استاندارد برای تعریف اینکه فصل، پاراگراف، مقدمه و غیره چیست، می‌باشد.<br>", + "fa|So you should first remove manually any text you don't want to be converted in audio.**": "بنابراین ابتدا باید هر متنی را که نمی‌خواهید به صدا تبدیل شود، به‌صورت دستی حذف کنید.**", + "fa|**Install / Run ebook2audiobook**:": "**ebook2audiobook را نصب / اجرا کنید**:", + "fa|**Mac Launcher** ": "**راه‌انداز Mac** ", + "fa|Double click `Mac Ebook2Audiobook Launcher.command`": "روی `Mac Ebook2Audiobook Launcher.command` دوبار کلیک کنید", + "fa|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>توجه برای کاربران Windows: scoop برای نصب برنامه‌های ناموجود بدون امتیازات مدیر نصب می‌شود.</i>", + "fa|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**برنامه وب را باز کنید**: برای دسترسی به برنامه وب و تبدیل کتاب‌های الکترونیکی، روی URL ارائه‌شده در ترمینال کلیک کنید. `http://localhost:7860/`", + "fa|**For Public Link**:": "**برای پیوند عمومی**:", + "fa|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**اگر اسکریپت متوقف و دوباره اجرا شود، باید رابط گرافیکی Gradio خود را تازه‌سازی کنید<br>", + "fa|to let the web page reconnect to the new connection socket.**": "تا صفحه وب بتواند دوباره به سوکت اتصال جدید متصل شود.**", + "fa|**[--ebook]**: Path to your eBook file": "**[--ebook]**: مسیر فایل کتاب الکترونیکی شما", + "fa|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: مسیر فایل شبیه‌سازی صدا (اختیاری)", + "fa|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: کد زبان به‌صورت ISO-639-3 (یعنی: ita برای ایتالیایی، eng برای انگلیسی، deu برای آلمانی...).<br>", + "fa|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "زبان پیش‌فرض eng است و --language برای زبان پیش‌فرض تنظیم‌شده در ./lib/lang.py اختیاری است.<br>", + "fa|The ISO-639-1 2 letters codes are also supported.": "کدهای دوحرفی ISO-639-1 نیز پشتیبانی می‌شوند.", + "fa|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: مسیر فایل `model_name.zip`،", + "fa|which must contain (according to the tts engine) all the mandatory files<br>": "که باید (بسته به موتور tts) شامل تمام فایل‌های اجباری باشد<br>", + "fa|(see ./lib/models.py).": "(به ./lib/models.py مراجعه کنید).", + "fa|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "توجه: در حالت gradio/gui، برای لغو یک تبدیل در حال اجرا، کافی است روی [X] مؤلفه بارگذاری کتاب الکترونیکی کلیک کنید.", + "fa|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "نکته: اگر به مکث کمی بیشتر نیاز است، برای ۳ ثانیه '[pause:3]' و غیره را اضافه کنید.", + "fa|Common Docker Issues": "مشکلات رایج Docker", + "fa|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "پردازنده گرافیکی NVIDIA من شناسایی نمی‌شود؟؟ -> [صفحه ویکی مشکلات GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "fa|Fine Tuned TTS models": "مدل‌های TTS تنظیم‌دقیق‌شده (fine-tuned)", + "fa|Fine Tune your own XTTSv2 model": "مدل XTTSv2 خود را تنظیم دقیق کنید", + "fa|De-noise training data": "حذف نویز از داده‌های آموزشی", + "fa|Fine Tuned TTS Collection": "مجموعه مدل‌های TTS تنظیم‌دقیق‌شده", + "fa|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "برای مدل سفارشی XTTSv2، یک کلیپ صوتی مرجع از صدا اجباری است:", + "fa|Your own Ebook2Audiobook customization": "سفارشی‌سازی شخصی شما برای Ebook2Audiobook", + "fa|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "شما آزادید libs/conf.py را برای افزودن یا حذف تنظیمات دلخواه خود تغییر دهید. اگر قصد این کار را دارید، کافی است یک", + "fa|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "نسخه از conf.py اصلی تهیه کنید تا در هر به‌روزرسانی ebook2audiobook بتوانید از conf.py تغییریافته خود نسخه پشتیبان بگیرید و", + "fa|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "نسخه اصلی را بازگردانید. باید همین روند را برای models.py نیز برنامه‌ریزی کنید. اگر می‌خواهید مدل سفارشی خود را", + "fa|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "به یک مدل رسمی تنظیم‌دقیق‌شده ebook2audiobook تبدیل کنید، لطفاً با ما تماس بگیرید تا آن را به فهرست پیش‌تنظیم‌ها اضافه کنیم.", + "fa|Common Issues:": "مشکلات رایج:", + "fa|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "پردازنده گرافیکی NVIDIA/ROCm/XPU/MPS من شناسایی نمی‌شود؟؟ -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "fa|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU کند است (روی CPU سرور SMP بهتر است) در حالی که GPU می‌تواند تبدیل تقریباً بلادرنگ داشته باشد.", + "fa|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(با این حال شبیه‌سازی صدای zero-shot ندارد، و صداها با کیفیت Siri هستند، اما روی cpu بسیار سریع‌تر است).", + "fa|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "«مشکلاتی با وابستگی‌ها دارم» - کافی است از docker استفاده کنید، کاملاً مستقل است و حالت بدون رابط دارد،", + "fa|add `--help` parameter at the end of the docker run command for more information.": "برای اطلاعات بیشتر پارامتر `--help` را به انتهای دستور docker run اضافه کنید.", + "fa|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "«مشکل قطع شدن صدا دارم!» - لطفاً یک ISSUE در این مورد ایجاد کنید،", + "fa|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "ما به همه زبان‌ها صحبت نمی‌کنیم و برای تنظیم دقیق منطق تقسیم جمله به توصیه کاربران نیاز داریم.😊", + "fa|***** ROADMAP *****": "***** نقشه راه *****", + "fa|All Features open to public Contributions ⭐": "تمام ویژگی‌ها برای مشارکت‌های عمومی باز هستند ⭐", + "fa|Any help from people speaking any of the supported languages to help us improve the models ⭐": "هرگونه کمک از افرادی که به یکی از زبان‌های پشتیبانی‌شده صحبت می‌کنند تا به ما در بهبود مدل‌ها کمک کنند ⭐", + "fa|Preview Blocks/Chapters before to start the conversion": "پیش‌نمایش بلوک‌ها/فصل‌ها پیش از شروع تبدیل", + "fa|Edit by sentence converted for surgical text change": "ویرایش به‌ازای هر جمله تبدیل‌شده برای تغییر دقیق متن", + "fa|SML tags integration for voice, pause, break, and more changes ": "یکپارچه‌سازی برچسب‌های SML برای صدا، مکث، وقفه و تغییرات بیشتر ", + "fa|-h -help parameter info in different languages": "اطلاعات پارامتر -h -help به زبان‌های مختلف", + "fa|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "اسکن OCR برای PDF / JPG / BMP / PNG / TIFF", + "fa|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "پوشه Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "fa|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "اطمینان از اینکه تقسیم متن چینی کلمات را تقسیم نکند و بهبود زمان‌بندی مکث‌ها [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "fa|Kaggle Notebook": "دفترچه Kaggle", + "fa|Google Colab Notebook": "دفترچه Google Colab", + "fa|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[ساخت یک اپلیکیشن iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "fa|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[ساخت یک اپلیکیشن android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "fa|Audiobookshelf integration": "یکپارچه‌سازی Audiobookshelf", + "fa|Extra Options": "گزینه‌های اضافی", + "fa|Ebook Translation option": "گزینه ترجمه کتاب الکترونیکی", + "fa|Output format choices": "انتخاب‌های قالب خروجی", + "fa|Batch ebook folder": "پوشه دسته‌ای کتاب الکترونیکی", + "fa|Multiprocessing conversion": "تبدیل چندپردازشی", + "fa|Batch ebook folder conversion": "تبدیل دسته‌ای پوشه کتاب الکترونیکی", + "fa|GPU Device detection": "تشخیص دستگاه GPU", + "fa|Denoise any reference audio for upload voice cloning,": "حذف نویز از هر صدای مرجع برای بارگذاری شبیه‌سازی صدا،", + "fa|Custom model upload (XTTSv2 only for now. more on request)": "بارگذاری مدل سفارشی (فعلاً فقط XTTSv2. موارد بیشتر بنا به درخواست)", + "fa|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "افزودن مدل زبانی پرتغالی اروپایی حداقل برای xttsv2، fairseq، vits، piper (از کمک استقبال می‌شود)", + "fa|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "افزودن مدل زبانی سندی حداقل برای xttsv2، fairseq، vits، piper (از کمک استقبال می‌شود)", + "fa|Readme Translation": "ترجمه Readme", + "fa|🐍 OS Compatibility": "🐍 سازگاری سیستم‌عامل", + "fa|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "افراط اضافی برای آموزش مدل‌ها و موارد مشابه (تمام مدل‌های پشتیبانی‌شده Coqui-tts و piper-tts در یک دستور ساده) ", + "fa|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "برای اطلاعات در این مورد @DrewThomasson، او در حال حاضر روی توسعه این مورد کار می‌کند، [مخزن در حال انجام در اینجا](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "fa|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "ساخت یک رابط گرافیکی آموزشی آسان برای استفاده برای تمام مدل‌های coqui-tts در دستورالعمل‌های آموزشی قالب ljspeech [اینجا از coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "fa|Python Code normalization information for contributors": "اطلاعات نرمال‌سازی کد Python برای مشارکت‌کنندگان", + "fa|no blank line between code, unless between functions and classes.": "بدون خط خالی بین کد، به‌جز بین توابع و کلاس‌ها.", + "fa|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "از نقل‌قول تکی برای تمام کلیدها به‌جز dict() و json استفاده می‌شود. dict['key'] همیشه با نقل‌قول تکی فراخوانی می‌شود", + "fa|4 spaces indentation, not tab at all": "تورفتگی ۴ فاصله، بدون هیچ تب", + "fa|strict typing for all functions and its arguments declaration and return values": "تایپ‌گذاری سختگیرانه برای تمام توابع و اعلان آرگومان‌ها و مقادیر بازگشتی آن‌ها", + "fa|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "بدون فاصله بین آرگومان و تایپ‌گذاری آن، بدون فاصله بین تابع، «->» و مقدار بازگشتی", + "fa|Example:": "نمونه:", + "fa|Hardware donation for beta tests wanted": "به اهدای سخت‌افزار برای آزمایش‌های بتا نیازمندیم", + "fa|We accept any kind of hardware to test our development like:": "ما هر نوع سخت‌افزاری را برای آزمایش توسعه خود می‌پذیریم مانند:", + "fa|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson اگر می‌خواهید به هر شکلی کمک کنید! 😃", + "fa|Do you need to rent a GPU to boost service from us?": "آیا برای تقویت خدمات ما به اجاره یک GPU نیاز دارید؟", + "fa|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "یک نظرسنجی در اینجا باز است https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "fa|Special Thanks": "تشکر ویژه", + "fa|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 برای روش بهتر ذخیره فصل‌ها](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "yo|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Ayípadà CPU/GPU láti inú ìwé-kàwé ẹ̀rọ sí ìwé-ohùn pẹ̀lú àwọn orí àti metadata<br/>", + "yo|using advanced TTS engines and much more.<br/>": "ní lílo àwọn ẹ̀rọ TTS tó ní ìlọsíwájú àti púpọ̀ síi.<br/>", + "yo|Supports voice cloning and 1158 languages!": "Ó ń ṣe àtìlẹ́yìn fún ẹ̀dà ohùn àti èdè 1158!", + "yo|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Ọ̀pá-ìṣẹ́ yìí jẹ́ fún lílo pẹ̀lú àwọn ìwé-kàwé ẹ̀rọ tí kò ní DRM, tí a rí gbà ní ọ̀nà òfin nìkan.** <br>", + "yo|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Àwọn òǹkọ̀wé kò ní jẹ́jọ́ fún ìlòkulò èyíkéyìí ti software yìí tàbí àbájáde òfin èyíkéyìí tí ó bá yọrí sí. <br>", + "yo|Use this tool responsibly and in accordance with all applicable laws.": "Lo ọ̀pá-ìṣẹ́ yìí pẹ̀lú ojúṣe àti ní ìbámu pẹ̀lú gbogbo àwọn òfin tó wà ní agbára.", + "yo|Thanks to support ebook2audiobook developers!": "A dúpẹ́ fún àtìlẹ́yìn àwọn olùdàgbàsókè ebook2audiobook!", + "yo|Run locally": "Ṣíṣe ní agbègbè", + "yo|Run Remotely": "Ṣíṣe ní Òkèèrè", + "yo|GUI Interface": "Wíwo GUI", + "yo|<summary>Click to see images of Web GUI</summary>": "<summary>Tẹ̀ láti rí àwọn àwòrán GUI Wẹ́ẹ̀bù</summary>", + "yo|Demos": "Àwọn Àfihàn", + "yo|**New Default Voice Demo** ": "**Àfihàn Ohùn Àpẹẹrẹ Tuntun** ", + "yo|<summary>More Demos</summary>": "<summary>Àwọn àfihàn síi</summary>", + "yo|**ASMR Voice** ": "**Ohùn ASMR** ", + "yo|**Rainy Day Voice** ": "**Ohùn Ọjọ́ Òjò** ", + "yo|**Scarlett Voice**": "**Ohùn Scarlett**", + "yo|**David Attenborough Voice** ": "**Ohùn David Attenborough** ", + "yo|**Example**": "**Àpẹẹrẹ**", + "yo|Table of Contents": "Àkójọ Àwọn Àkóónú", + "yo|[Features](#features)": "[Àwọn Ẹ̀yà](#features)", + "yo|[GUI Interface](#gui-interface)": "[Wíwo GUI](#gui-interface)", + "yo|[Demos](#demos)": "[Àwọn Àfihàn](#demos)", + "yo|[Supported Languages](#supported-languages)": "[Àwọn Èdè Tí A Ṣe Àtìlẹ́yìn Fún](#supported-languages)", + "yo|[Minimum Requirements](#hardware-requirements)": "[Àwọn Ìbéèrè Tó Kéré Jù](#hardware-requirements)", + "yo|[Usage](#instructions)": "[Ìlò](#instructions)", + "yo|[Run Locally](#instructions)": "[Ṣíṣe ní Agbègbè](#instructions)", + "yo|[Launching Gradio Web Interface](#instructions)": "[Ṣíṣí Wíwo Wẹ́ẹ̀bù Gradio](#instructions)", + "yo|[Basic Headless Usage](#basic-usage)": "[Ìlò Headless Ìpilẹ̀](#basic-usage)", + "yo|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Ìlò Àwòṣe XTTS Àdáni Headless](#example-of-custom-model-zip-upload)", + "yo|[Help command output](#help-command-output)": "[Ìjáde àṣẹ ìrànlọ́wọ́](#help-command-output)", + "yo|[Run Remotely](#run-remotely)": "[Ṣíṣe ní Òkèèrè](#run-remotely)", + "yo|[Steps to Run](#docker)": "[Àwọn Ìgbésẹ̀ láti Ṣe](#docker)", + "yo|[Common Docker Issues](#common-docker-issues)": "[Àwọn Ìṣòro Docker Tó Wọ́pọ̀](#common-docker-issues)", + "yo|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Àwọn àwòṣe TTS Tí A Ti Ṣàtúnṣe](#fine-tuned-tts-models)", + "yo|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Àkójọ Àwọn Àwòṣe TTS Tí A Ti Ṣàtúnṣe](#fine-tuned-tts-collection)", + "yo|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Dídá XTTSv2 Lẹ́kọ̀ọ́](#fine-tune-your-own-xttsv2-model)", + "yo|[Supported eBook Formats](#supported-ebook-formats)": "[Àwọn Ọ̀nà eBook Tí A Ṣe Àtìlẹ́yìn Fún](#supported-ebook-formats)", + "yo|[Output Formats](#output-and-process-formats)": "[Àwọn Ọ̀nà Ìjáde](#output-and-process-formats)", + "yo|[Revert to older Version](#reverting-to-older-versions)": "[Padà sí Ẹ̀dà àtijọ́](#reverting-to-older-versions)", + "yo|[Common Issues](#common-issues)": "[Àwọn Ìṣòro Tó Wọ́pọ̀](#common-issues)", + "yo|[Special Thanks](#special-thanks)": "[Ọpẹ́ Pàtàkì](#special-thanks)", + "yo|[Table of Contents](#table-of-contents)": "[Àkójọ Àwọn Àkóónú](#table-of-contents)", + "yo|Features": "Àwọn Ẹ̀yà", + "yo|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Àwọn ẹ̀rọ TTS tí a ṣe àtìlẹ́yìn fún**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "yo|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Yí àwọn ọ̀nà fáìlì púpọ̀ padà**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "yo|💻 **TextArea** to convert directly a short text in audio": "💻 **Agbègbè Ọ̀rọ̀** láti yí ọ̀rọ̀ kúkúrú padà tààrà sí ohùn", + "yo|🔍 **OCR scanning** for files with text pages as images": "🔍 **Àyẹ̀wò OCR** fún àwọn fáìlì tó ní àwọn ojú-ìwé ọ̀rọ̀ gẹ́gẹ́ bí àwòrán", + "yo|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Ọ̀rọ̀-sí-ọ̀rọ̀ olódodo gíga**, láti ó fẹ́rẹ̀ jẹ́ àkókò gidi sí ohùn tó fẹ́rẹ̀ jẹ́ gidi", + "yo|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Ẹ̀dà ohùn àṣàyàn** ní lílo fáìlì ohùn tìrẹ", + "yo|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Ó ń ṣe àtìlẹ́yìn fún èdè 1158** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "yo|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Ọ̀rẹ́ àwọn ohun-àmúṣe kékeré** — ó ń ṣiṣẹ́ lórí **2 GB RAM / 1 GB VRAM (tó kéré jù)**", + "yo|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Àwọn ọ̀nà ìjáde ìwé-ohùn**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "yo|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **A ṣe àtìlẹ́yìn fún àwọn àmì SML** — ìṣàkóso tó pé fún àwọn ìdáwọ́dúró, ìdúró, ìyípadà ohùn àti púpọ̀ síi ([see below](#sml-tags-available))", + "yo|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Àwòṣe àdáni àṣàyàn** ní lílo àwòṣe tí o dá lẹ́kọ̀ọ́ fúnra rẹ (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "yo|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Àwọn àwòṣe preset tí a ti ṣàtúnṣe** tí Ẹgbẹ́ E2A dá lẹ́kọ̀ọ́<br/>", + "yo|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kàn sí wa tí o bá nílò àwọn àwòṣe àfikún tí a ti ṣàtúnṣe, tàbí tí o bá fẹ́ pín tìrẹ sí àkójọ preset oníṣẹ́-aṣẹ)</i>", + "yo|Hardware Requirements": "Àwọn Ìbéèrè Ohun-èlò", + "yo|2GB RAM min, 8GB recommended.": "RAM 2GB tó kéré jù, 8GB ní ìṣedéédéé.", + "yo|1GB VRAM min, 4GB recommended.": "VRAM 1GB tó kéré jù, 4GB ní ìṣedéédéé.", + "yo|Virtualization enabled if running on windows (Docker only).": "A ṣe àfikún Virtualization tí a bá ń ṣe lórí windows (Docker nìkan).", + "yo|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "yo|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Àwọn ẹ̀rọ TTS òde-òní lọ́ra gan-an lórí CPU, nítorí náà lo TTS olódodo kékeré bíi YourTTS, Tacotron2 àti bẹ́ẹ̀ bẹ́ẹ̀ lọ.</i>", + "yo|Supported Languages": "Àwọn Èdè Tí A Ṣe Àtìlẹ́yìn Fún", + "yo|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 èdè àti èdè-ìbílẹ̀ níbí**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "yo|Supported eBook Formats": "Àwọn Ọ̀nà eBook Tí A Ṣe Àtìlẹ́yìn Fún", + "yo|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Àbájáde tó dára jù**: `.epub` tàbí `.mobi` fún ìdánimọ̀ orí lọ́nà aládàáṣiṣẹ́", + "yo|Output and process Formats": "Àwọn Ọ̀nà Ìjáde àti ìṣíṣẹ́", + "yo|Process format can be changed in lib/conf.py": "A lè yí ọ̀nà ìṣíṣẹ́ padà nínú lib/conf.py", + "yo|SML tags available": "Àwọn àmì SML tó wà", + "yo|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — ìdákẹ́jẹ́ẹ́ (àyè àìròtẹ́lẹ̀ **0.3–0.6 sec.**)", + "yo|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — ìdákẹ́jẹ́ẹ́ (àyè àìròtẹ́lẹ̀ **1.0–1.6 sec.**)", + "yo|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — ìdúró tí a gbé kalẹ̀ (**N sec.**)", + "yo|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — yí ohùn padà láti ohùn àpẹẹrẹ tàbí èyí tí a yàn láti GUI/CLI", + "yo|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Wo repo wa míràn tí a yà sọ́tọ̀ fún àfikún SML lọ́nà aládàáṣiṣẹ́ nínú eBook rẹ -> [E2A-SML](./tools/E2A-SML)**", + "yo|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Kí o tó fi ìṣòro ìfìsọ́nà tàbí àṣìṣe sílẹ̀, ṣàwárí dáradára nínú TAB àwọn ìṣòro tó ṣí sílẹ̀ àti èyí tí a ti tì<br>", + "yo|to be sure your issue does not exist already.**": "láti rí i dájú pé ìṣòro rẹ kò tíì sí.**", + "yo|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Ọ̀nà EPUB kò ní ètò àpapọ̀ èyíkéyìí bíi ohun tí orí jẹ́, ìpínrọ̀, ọ̀rọ̀-ìṣáájú àti bẹ́ẹ̀ bẹ́ẹ̀ lọ.<br>", + "yo|So you should first remove manually any text you don't want to be converted in audio.**": "Nítorí náà o gbọ́dọ̀ kọ́kọ́ yọ ọ̀rọ̀ èyíkéyìí tí o kò fẹ́ yí padà sí ohùn pẹ̀lú ọwọ́.**", + "yo|**Install / Run ebook2audiobook**:": "**Fi sori ẹrọ / Ṣe ebook2audiobook**:", + "yo|**Mac Launcher** ": "**Olùṣíṣẹ́ Mac** ", + "yo|Double click `Mac Ebook2Audiobook Launcher.command`": "Tẹ̀ ní ẹ̀ẹ̀mejì `Mac Ebook2Audiobook Launcher.command`", + "yo|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Àkíyèsí fún àwọn olùmúlò Windows: a fi scoop sori ẹrọ láti fi àwọn ètò tó nù sori ẹrọ láìsí àwọn ẹ̀tọ́ alábòójútó.</i>", + "yo|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Ṣí Ohun-èlò Wẹ́ẹ̀bù**: Tẹ̀ URL tí a pèsè nínú terminal láti wọlé sí ohun-èlò wẹ́ẹ̀bù àti yí àwọn eBook padà. `http://localhost:7860/`", + "yo|**For Public Link**:": "**Fún Ọ̀nà Àjọ̀dún**:", + "yo|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Tí a bá dúró kọ̀ǹpútà-ìtọ́ni tí a sì tún ṣe é, o nílò láti tún wíwo GUI gradio rẹ ṣe<br>", + "yo|to let the web page reconnect to the new connection socket.**": "láti gba ojú-ìwé wẹ́ẹ̀bù láàyè láti tún sopọ̀ mọ́ socket ìsopọ̀ tuntun.**", + "yo|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Ọ̀nà sí fáìlì eBook rẹ", + "yo|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Ọ̀nà fáìlì ẹ̀dà ohùn (àṣàyàn)", + "yo|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Àmì èdè ní ISO-639-3 (ìyẹn: ita fún Ítálì, eng fún Gẹ̀ẹ́sì, deu fún Jámánì...).<br>", + "yo|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Èdè àpẹẹrẹ ni eng àti --language jẹ́ àṣàyàn fún èdè àpẹẹrẹ tí a gbé kalẹ̀ nínú ./lib/lang.py.<br>", + "yo|The ISO-639-1 2 letters codes are also supported.": "Àwọn àmì ISO-639-1 oníléta 2 náà ni a ṣe àtìlẹ́yìn fún.", + "yo|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Ọ̀nà sí fáìlì `model_name.zip`,", + "yo|which must contain (according to the tts engine) all the mandatory files<br>": "èyí tó gbọ́dọ̀ ní (gẹ́gẹ́ bí ẹ̀rọ tts) gbogbo àwọn fáìlì pàtàkì<br>", + "yo|(see ./lib/models.py).": "(wo ./lib/models.py).", + "yo|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "ÀKÍYÈSÍ: ní ìpò gradio/gui, láti fagilé ìyípadà tó ń lọ lọ́wọ́, kàn tẹ̀ [X] láti inú ẹ̀yà ìgbéga eBook.", + "yo|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "ÌMỌ̀RÀN: tí ó bá nílò ìdúró díẹ̀ síi, ṣàfikún '[pause:3]' fún ìṣẹ́jú-àáyá 3 àti bẹ́ẹ̀ bẹ́ẹ̀ lọ.", + "yo|Common Docker Issues": "Àwọn Ìṣòro Docker Tó Wọ́pọ̀", + "yo|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "A kò rí GPU NVIDIA mi?? -> [Ojú-ìwé Wiki ÀWỌN ÌṢÒRO GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "yo|Fine Tuned TTS models": "Àwọn àwòṣe TTS Tí A Ti Ṣàtúnṣe (fine-tuned)", + "yo|Fine Tune your own XTTSv2 model": "Ṣàtúnṣe àwòṣe XTTSv2 tìrẹ", + "yo|De-noise training data": "Yíyọ ariwo kúrò nínú dátà ìdánilẹ́kọ̀ọ́", + "yo|Fine Tuned TTS Collection": "Àkójọ Àwọn Àwòṣe TTS Tí A Ti Ṣàtúnṣe", + "yo|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Fún àwòṣe àdáni XTTSv2, klipu ohùn ìtọ́kasí ti ohùn jẹ́ pàtàkì:", + "yo|Your own Ebook2Audiobook customization": "Ìbáamu Ebook2Audiobook tìrẹ", + "yo|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "O ní òmìnira láti ṣàtúnṣe libs/conf.py láti ṣàfikún tàbí yọ àwọn ètò tí o fẹ́ kúrò. Tí o bá ń gbèrò láti ṣe é, kàn ṣe", + "yo|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "ẹ̀dà conf.py ìpilẹ̀ kí o lè, ní gbogbo ìmúdójúìwọ̀n ebook2audiobook, gba conf.py tí o ṣàtúnṣe pamọ́ kí o sì tún", + "yo|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "ìpilẹ̀ padà. O gbọ́dọ̀ gbèrò ìṣẹ̀lẹ̀ kan náà fún models.py. Tí o bá fẹ́ sọ àwòṣe àdáni tìrẹ", + "yo|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "di àwòṣe ebook2audiobook oníṣẹ́-aṣẹ tí a ti ṣàtúnṣe, jọ̀wọ́ kàn sí wa a ó sì fi kún àkójọ preset.", + "yo|Common Issues:": "Àwọn Ìṣòro Tó Wọ́pọ̀:", + "yo|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "A kò rí GPU NVIDIA/ROCm/XPU/MPS mi?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "yo|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU lọ́ra (ó dára jù lórí CPU smp sáfà) nígbà tí GPU lè ní ìyípadà tó fẹ́rẹ̀ jẹ́ àkókò gidi.", + "yo|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Bí ó tilẹ̀ jẹ́ pé kò ní ẹ̀dà ohùn zero-shot, tí ó sì jẹ́ àwọn ohùn olódodo Siri, ṣùgbọ́n ó yára púpọ̀ síi lórí cpu).", + "yo|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Mo ní àwọn ìṣòro ìgbẹ́kẹ̀lé\" - Kàn lo docker, ó dúró lóró fúnra rẹ̀ pátápátá ó sì ní ìpò headless,", + "yo|add `--help` parameter at the end of the docker run command for more information.": "ṣàfikún àléébù `--help` ní òpin àṣẹ docker run fún ìsọfúnni síi.", + "yo|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Mo ní ìṣòro ohùn tí a gé kúrú!\" - JỌ̀WỌ́ ṢÍ ISSUE NÍPA ÈYÍ,", + "yo|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "a kò sọ gbogbo èdè a sì nílò ìmọ̀ràn láti ọ̀dọ̀ àwọn olùmúlò láti ṣàtúnṣe ọgbọ́n pípín gbólóhùn.😊", + "yo|***** ROADMAP *****": "***** ÈTÒ-ÌLỌSÍWÁJÚ *****", + "yo|All Features open to public Contributions ⭐": "Gbogbo Àwọn Ẹ̀yà ṣí sílẹ̀ fún Àwọn Ìdáwó àjọ̀dún ⭐", + "yo|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Ìrànlọ́wọ́ èyíkéyìí láti ọ̀dọ̀ àwọn ènìyàn tó ń sọ èdè èyíkéyìí tí a ṣe àtìlẹ́yìn fún láti ràn wá lọ́wọ́ láti mú àwọn àwòṣe dára síi ⭐", + "yo|Preview Blocks/Chapters before to start the conversion": "Àwòkọ́ Àwọn Àkójọpọ̀/Orí kí a tó bẹ̀rẹ̀ ìyípadà", + "yo|Edit by sentence converted for surgical text change": "Ṣàtúnṣe ní gbólóhùn tí a yí padà fún ìyípadà ọ̀rọ̀ tó pé", + "yo|SML tags integration for voice, pause, break, and more changes ": "Ìṣọ̀kan àmì SML fún ohùn, ìdúró, ìdáwọ́dúró, àti àwọn ìyípadà síi ", + "yo|-h -help parameter info in different languages": "Ìsọfúnni àléébù -h -help ní àwọn èdè ọ̀tọ̀ọ̀tọ̀", + "yo|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Àyẹ̀wò OCR fún PDF / JPG / BMP / PNG / TIFF", + "yo|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Fódà Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "yo|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Mú kí pípín ọ̀rọ̀ Ṣáínà má pín àwọn ọ̀rọ̀ kí a sì mú àkókò ìdúró dára síi [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "yo|Kaggle Notebook": "Notebook Kaggle", + "yo|Google Colab Notebook": "Notebook Google Colab", + "yo|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Ṣe ohun-èlò IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "yo|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Ṣe ohun-èlò android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "yo|Audiobookshelf integration": "Ìṣọ̀kan Audiobookshelf", + "yo|Extra Options": "Àwọn Àṣàyàn Àfikún", + "yo|Ebook Translation option": "Àṣàyàn Ìtumọ̀ eBook", + "yo|Output format choices": "Àwọn àṣàyàn ọ̀nà ìjáde", + "yo|Batch ebook folder": "Fódà eBook ìpapọ̀", + "yo|Multiprocessing conversion": "Ìyípadà oníṣíṣẹ́-púpọ̀", + "yo|Batch ebook folder conversion": "Ìyípadà fódà eBook ìpapọ̀", + "yo|GPU Device detection": "Ìdánimọ̀ Ẹ̀rọ GPU", + "yo|Denoise any reference audio for upload voice cloning,": "Yọ ariwo kúrò nínú ohùn ìtọ́kasí èyíkéyìí fún ìgbéga ẹ̀dà ohùn,", + "yo|Custom model upload (XTTSv2 only for now. more on request)": "Ìgbéga àwòṣe àdáni (XTTSv2 nìkan fún ìsinsìnyí. púpọ̀ síi lórí ìbéèrè)", + "yo|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ṣàfikún àwòṣe èdè Portuguese Yúróòpù fún ó kéré tán xttsv2, fairseq, vits, piper (a kí ìrànlọ́wọ́ káàbọ̀)", + "yo|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ṣàfikún àwòṣe èdè Sindhi fún ó kéré tán xttsv2, fairseq, vits, piper (a kí ìrànlọ́wọ́ káàbọ̀)", + "yo|Readme Translation": "Ìtumọ̀ Readme", + "yo|🐍 OS Compatibility": "🐍 Ìbáramu OS", + "yo|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Àpọ̀jù Àfikún fún dídá àwọn àwòṣe lẹ́kọ̀ọ́ àti irú rẹ̀ (Gbogbo àwọn àwòṣe Coqui-tts tí a ṣe àtìlẹ́yìn fún àti piper-tts nínú àṣẹ rọrùn kan) ", + "yo|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Fún ìsọfúnni nípa èyí @DrewThomasson, ó ń ṣiṣẹ́ lórí ìdàgbàsókè rẹ̀ lọ́wọ́lọ́wọ́, [repo tó ń lọ lọ́wọ́ níbí](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "yo|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Ṣe gui ìdánilẹ́kọ̀ọ́ tó rọrùn láti lò fún gbogbo àwọn àwòṣe coqui-tts nínú àwọn ìlànà ìdánilẹ́kọ̀ọ́ ọ̀nà ljspeech [níbí láti ọ̀dọ̀ coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "yo|Python Code normalization information for contributors": "Ìsọfúnni ìṣàkóso Kóòdù Python fún àwọn olùdáwó", + "yo|no blank line between code, unless between functions and classes.": "kò sí ìlà òfìfo láàrin kóòdù, àyàfi láàrin àwọn iṣẹ́ àti àwọn kíláàsì.", + "yo|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "àmì-ọ̀rọ̀ kan ṣoṣo ni a lò fún gbogbo àwọn kọ́kọ́rọ́ àyàfi fún dict() àti json. dict['key'] ni a máa ń pè pẹ̀lú àmì-ọ̀rọ̀ kan ṣoṣo nígbà gbogbo", + "yo|4 spaces indentation, not tab at all": "àyè-ìbẹ̀rẹ̀ àwọn àlàfo 4, kì í ṣe tab rárá", + "yo|strict typing for all functions and its arguments declaration and return values": "ìtẹ̀wé tó le fún gbogbo àwọn iṣẹ́ àti ìkéde àwọn àríyànjiyàn àti àwọn iye ìpadàbọ̀ wọn", + "yo|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "kò sí àlàfo láàrin àríyànjiyàn àti ìtẹ̀wé rẹ̀, kò sí àlàfo láàrin iṣẹ́, \"->\" àti iye ìpadàbọ̀", + "yo|Example:": "Àpẹẹrẹ:", + "yo|Hardware donation for beta tests wanted": "A ń wá ẹ̀bùn ohun-èlò fún àwọn ìdánwò beta", + "yo|We accept any kind of hardware to test our development like:": "A gba irú ohun-èlò èyíkéyìí láti dán ìdàgbàsókè wa wò bíi:", + "yo|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson tí o bá fẹ́ ṣe ìrànlọ́wọ́ ní ọ̀nà èyíkéyìí! 😃", + "yo|Do you need to rent a GPU to boost service from us?": "Ṣé o nílò láti yá GPU láti mú iṣẹ́ wa lágbára?", + "yo|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Ìdìbò kan ti ṣí síbí https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "yo|Special Thanks": "Ọpẹ́ Pàtàkì", + "yo|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 fún ọ̀nà tó dára jù láti tọ́jú àwọn orí](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "yo|TTS engines": "Àwọn ẹ̀rọ TTS", + "yo|XTTSv2": "XTTSv2", + "yo|Bark": "Bark", + "yo|Fairseq": "Fairseq", + "yo|VITS": "VITS", + "yo|Tacotron2": "Tacotron2", + "yo|YourTTS": "YourTTS", + "yo|Tortoise": "ijapa", + "yo|GlowTTS": "GlowTTS", + "yo|Piper": "Piper", + "yo|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "yo|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "yo|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "yo|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "yo|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "yo|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "yo|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "yo|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "yo|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "yo|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "yo|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "yo|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "yo|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "yo|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "yo|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style-TTS2 (https://github.com/yl4579/StyleTTS2)", + "yo|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "yo|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "yo|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "yo|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "sw|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Kibadilishaji cha CPU/GPU kutoka E-Kitabu hadi kitabu cha sauti chenye sura na metadata<br/>", + "sw|using advanced TTS engines and much more.<br/>": "kwa kutumia injini za hali ya juu za TTS na mengi zaidi.<br/>", + "sw|Supports voice cloning and 1158 languages!": "Kinaunga mkono unakili wa sauti na lugha 1158!", + "sw|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Zana hii imekusudiwa kutumika tu na vitabu pepe visivyo na DRM, vilivyopatikana kihalali.** <br>", + "sw|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Waandishi hawawajibikii matumizi mabaya yoyote ya programu hii au matokeo yoyote ya kisheria yanayotokana nayo. <br>", + "sw|Use this tool responsibly and in accordance with all applicable laws.": "Tumia zana hii kwa uwajibikaji na kwa kufuata sheria zote zinazotumika.", + "sw|Thanks to support ebook2audiobook developers!": "Asante kwa kuwaunga mkono wasanidi wa ebook2audiobook!", + "sw|Run locally": "Endesha kwa ndani", + "sw|Run Remotely": "Endesha kwa Mbali", + "sw|GUI Interface": "Kiolesura cha GUI", + "sw|<summary>Click to see images of Web GUI</summary>": "<summary>Bofya ili kuona picha za GUI ya Wavuti</summary>", + "sw|Demos": "Onyesho", + "sw|**New Default Voice Demo** ": "**Onyesho la Sauti Mpya ya Chaguo-msingi** ", + "sw|<summary>More Demos</summary>": "<summary>Maonyesho Zaidi</summary>", + "sw|**ASMR Voice** ": "**Sauti ya ASMR** ", + "sw|**Rainy Day Voice** ": "**Sauti ya Siku ya Mvua** ", + "sw|**Scarlett Voice**": "**Sauti ya Scarlett**", + "sw|**David Attenborough Voice** ": "**Sauti ya David Attenborough** ", + "sw|**Example**": "**Mfano**", + "sw|Table of Contents": "Jedwali la Yaliyomo", + "sw|[Features](#features)": "[Vipengele](#features)", + "sw|[GUI Interface](#gui-interface)": "[Kiolesura cha GUI](#gui-interface)", + "sw|[Demos](#demos)": "[Onyesho](#demos)", + "sw|[Supported Languages](#supported-languages)": "[Lugha Zinazoungwa Mkono](#supported-languages)", + "sw|[Minimum Requirements](#hardware-requirements)": "[Mahitaji ya Chini](#hardware-requirements)", + "sw|[Usage](#instructions)": "[Matumizi](#instructions)", + "sw|[Run Locally](#instructions)": "[Endesha kwa Ndani](#instructions)", + "sw|[Launching Gradio Web Interface](#instructions)": "[Kuzindua Kiolesura cha Wavuti cha Gradio](#instructions)", + "sw|[Basic Headless Usage](#basic-usage)": "[Matumizi ya Msingi ya Headless](#basic-usage)", + "sw|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Matumizi ya Modeli Maalum ya XTTS ya Headless](#example-of-custom-model-zip-upload)", + "sw|[Help command output](#help-command-output)": "[Matokeo ya amri ya usaidizi](#help-command-output)", + "sw|[Run Remotely](#run-remotely)": "[Endesha kwa Mbali](#run-remotely)", + "sw|[Steps to Run](#docker)": "[Hatua za Kuendesha](#docker)", + "sw|[Common Docker Issues](#common-docker-issues)": "[Matatizo ya Kawaida ya Docker](#common-docker-issues)", + "sw|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Modeli za TTS Zilizoboreshwa](#fine-tuned-tts-models)", + "sw|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Mkusanyiko wa Modeli za TTS Zilizoboreshwa](#fine-tuned-tts-collection)", + "sw|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Funza XTTSv2](#fine-tune-your-own-xttsv2-model)", + "sw|[Supported eBook Formats](#supported-ebook-formats)": "[Miundo ya eBook Inayoungwa Mkono](#supported-ebook-formats)", + "sw|[Output Formats](#output-and-process-formats)": "[Miundo ya Matokeo](#output-and-process-formats)", + "sw|[Revert to older Version](#reverting-to-older-versions)": "[Rudi kwa Toleo la zamani](#reverting-to-older-versions)", + "sw|[Common Issues](#common-issues)": "[Matatizo ya Kawaida](#common-issues)", + "sw|[Special Thanks](#special-thanks)": "[Shukrani za Pekee](#special-thanks)", + "sw|[Table of Contents](#table-of-contents)": "[Jedwali la Yaliyomo](#table-of-contents)", + "sw|Features": "Vipengele", + "sw|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Injini za TTS zinazoungwa mkono**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "sw|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Badilisha miundo mingi ya faili**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "sw|💻 **TextArea** to convert directly a short text in audio": "💻 **Eneo la Maandishi** ili kubadilisha moja kwa moja maandishi mafupi kuwa sauti", + "sw|🔍 **OCR scanning** for files with text pages as images": "🔍 **Uchanganuzi wa OCR** kwa faili zenye kurasa za maandishi kama picha", + "sw|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Maandishi-kwa-usemi ya ubora wa juu**, kutoka karibu wakati halisi hadi sauti karibu halisi", + "sw|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Unakili wa sauti wa hiari** kwa kutumia faili yako mwenyewe ya sauti", + "sw|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Inaunga mkono lugha 1158** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "sw|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Rafiki kwa rasilimali ndogo** — inaendeshwa kwa **2 GB RAM / 1 GB VRAM (kima cha chini)**", + "sw|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Miundo ya matokeo ya kitabu cha sauti**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "sw|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Lebo za SML zinaungwa mkono** — udhibiti wa kina wa mapumziko, vituo, ubadilishaji wa sauti na zaidi ([see below](#sml-tags-available))", + "sw|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Modeli maalum ya hiari** kwa kutumia modeli yako uliyofunza mwenyewe (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "sw|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Modeli za mipangilio iliyowekwa awali zilizoboreshwa** zilizofunzwa na Timu ya E2A<br/>", + "sw|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Wasiliana nasi ikiwa unahitaji modeli za ziada zilizoboreshwa, au ikiwa ungependa kushiriki zako kwenye orodha rasmi ya mipangilio iliyowekwa awali)</i>", + "sw|Hardware Requirements": "Mahitaji ya Maunzi", + "sw|2GB RAM min, 8GB recommended.": "RAM 2GB chini, 8GB inapendekezwa.", + "sw|1GB VRAM min, 4GB recommended.": "VRAM 1GB chini, 4GB inapendekezwa.", + "sw|Virtualization enabled if running on windows (Docker only).": "Uboreshaji umewezeshwa ikiwa unaendeshwa kwenye windows (Docker pekee).", + "sw|MPS (Apple Silicon CPU)": "MPS (CPU ya Apple Silicon)", + "sw|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Injini za kisasa za TTS ni polepole sana kwenye CPU, kwa hivyo tumia TTS za ubora wa chini kama YourTTS, Tacotron2 n.k.</i>", + "sw|Supported Languages": "Lugha Zinazoungwa Mkono", + "sw|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 lugha na lahaja hapa**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "sw|Supported eBook Formats": "Miundo ya eBook Inayoungwa Mkono", + "sw|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Matokeo bora**: `.epub` au `.mobi` kwa utambuzi wa sura kiotomatiki", + "sw|Output and process Formats": "Miundo ya Matokeo na uchakataji", + "sw|Process format can be changed in lib/conf.py": "Muundo wa uchakataji unaweza kubadilishwa katika lib/conf.py", + "sw|SML tags available": "Lebo za SML zinazopatikana", + "sw|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — ukimya (anuwai nasibu **0.3–0.6 sec.**)", + "sw|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — ukimya (anuwai nasibu **1.0–1.6 sec.**)", + "sw|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pumziko maalum (**N sec.**)", + "sw|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — badilisha sauti kutoka kwa sauti ya chaguo-msingi au iliyochaguliwa kutoka GUI/CLI", + "sw|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Angalia repo yetu nyingine iliyojikita katika kuongeza SML kiotomatiki katika eBook yako -> [E2A-SML](./tools/E2A-SML)**", + "sw|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Kabla ya kutuma tatizo la usakinishaji au hitilafu, tafuta kwa makini katika KICHUPO cha matatizo yaliyofunguliwa na yaliyofungwa<br>", + "sw|to be sure your issue does not exist already.**": "ili kuhakikisha tatizo lako halipo tayari.**", + "sw|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Muundo wa EPUB hauna muundo wowote wa kawaida kama vile sura ni nini, aya, dibaji n.k.<br>", + "sw|So you should first remove manually any text you don't want to be converted in audio.**": "Kwa hivyo unapaswa kwanza kuondoa kwa mkono maandishi yoyote ambayo hutaki kubadilishwa kuwa sauti.**", + "sw|**Install / Run ebook2audiobook**:": "**Sakinisha / Endesha ebook2audiobook**:", + "sw|**Mac Launcher** ": "**Kizinduzi cha Mac** ", + "sw|Double click `Mac Ebook2Audiobook Launcher.command`": "Bofya mara mbili `Mac Ebook2Audiobook Launcher.command`", + "sw|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Kumbuka kwa watumiaji wa Windows: scoop husakinishwa ili kusakinisha programu zinazokosekana bila ruhusa za msimamizi.</i>", + "sw|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Fungua Programu ya Wavuti**: Bofya URL iliyotolewa kwenye terminal ili kufikia programu ya wavuti na kubadilisha eBooks. `http://localhost:7860/`", + "sw|**For Public Link**:": "**Kwa Kiungo cha Umma**:", + "sw|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Ikiwa hati itasimamishwa na kuendeshwa tena, unahitaji kuonyesha upya kiolesura chako cha GUI cha gradio<br>", + "sw|to let the web page reconnect to the new connection socket.**": "ili kuruhusu ukurasa wa wavuti uunganishe upya kwa soketi mpya ya muunganisho.**", + "sw|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Njia ya faili yako ya eBook", + "sw|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Njia ya faili ya unakili wa sauti (hiari)", + "sw|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Msimbo wa lugha katika ISO-639-3 (yaani: ita kwa Kiitaliano, eng kwa Kiingereza, deu kwa Kijerumani...).<br>", + "sw|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Lugha ya chaguo-msingi ni eng na --language ni hiari kwa lugha ya chaguo-msingi iliyowekwa katika ./lib/lang.py.<br>", + "sw|The ISO-639-1 2 letters codes are also supported.": "Misimbo ya herufi 2 ya ISO-639-1 pia inaungwa mkono.", + "sw|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Njia ya faili ya `model_name.zip`,", + "sw|which must contain (according to the tts engine) all the mandatory files<br>": "ambayo lazima iwe na (kulingana na injini ya tts) faili zote za lazima<br>", + "sw|(see ./lib/models.py).": "(angalia ./lib/models.py).", + "sw|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "KUMBUKA: katika hali ya gradio/gui, ili kughairi ubadilishaji unaoendelea, bonyeza tu [X] kutoka kwa kipengele cha upakiaji wa eBook.", + "sw|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "KIDOKEZO: ikiwa inahitaji pumziko zaidi, ongeza '[pause:3]' kwa sekunde 3 n.k.", + "sw|Common Docker Issues": "Matatizo ya Kawaida ya Docker", + "sw|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU yangu ya NVIDIA haitambuliki?? -> [Ukurasa wa Wiki wa MATATIZO YA GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sw|Fine Tuned TTS models": "Modeli za TTS Zilizoboreshwa (fine-tuned)", + "sw|Fine Tune your own XTTSv2 model": "Boresha modeli yako mwenyewe ya XTTSv2", + "sw|De-noise training data": "Ondoa kelele kwenye data ya mafunzo", + "sw|Fine Tuned TTS Collection": "Mkusanyiko wa Modeli za TTS Zilizoboreshwa", + "sw|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Kwa modeli maalum ya XTTSv2, klipu ya sauti ya marejeleo ya sauti ni ya lazima:", + "sw|Your own Ebook2Audiobook customization": "Ubinafsishaji wako mwenyewe wa Ebook2Audiobook", + "sw|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Uko huru kurekebisha libs/conf.py ili kuongeza au kuondoa mipangilio unayotaka. Ikiwa unapanga kufanya hivyo, fanya tu", + "sw|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "nakala ya conf.py asili ili kila sasisho la ebook2audiobook utahifadhi conf.py yako iliyorekebishwa na kuweka", + "sw|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "tena ile asili. Lazima upange mchakato huo huo kwa models.py. Ikiwa unataka kuifanya modeli yako maalum", + "sw|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "kuwa modeli rasmi iliyoboreshwa ya ebook2audiobook, tafadhali wasiliana nasi na tutaiongeza kwenye orodha ya mipangilio iliyowekwa awali.", + "sw|Common Issues:": "Matatizo ya Kawaida:", + "sw|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU yangu ya NVIDIA/ROCm/XPU/MPS haitambuliki?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sw|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU ni polepole (bora kwenye CPU smp ya seva) huku GPU ikiweza kuwa na ubadilishaji wa karibu wakati halisi.", + "sw|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Hata hivyo haina unakili wa sauti wa zero-shot, na ni sauti za ubora wa Siri, lakini ni haraka zaidi kwenye cpu).", + "sw|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Nina matatizo ya utegemezi\" - Tumia tu docker, imejitosheleza kabisa na ina hali ya headless,", + "sw|add `--help` parameter at the end of the docker run command for more information.": "ongeza kigezo `--help` mwishoni mwa amri ya docker run kwa maelezo zaidi.", + "sw|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Ninapata tatizo la sauti iliyokatwa!\" - TAFADHALI FUNGUA ISSUE KUHUSU HILI,", + "sw|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "hatuzungumzi kila lugha na tunahitaji ushauri kutoka kwa watumiaji ili kuboresha mantiki ya kugawanya sentensi.😊", + "sw|***** ROADMAP *****": "***** RAMANI YA BARABARA *****", + "sw|All Features open to public Contributions ⭐": "Vipengele vyote vimefunguliwa kwa Michango ya umma ⭐", + "sw|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Msaada wowote kutoka kwa watu wanaozungumza lugha yoyote inayoungwa mkono ili kutusaidia kuboresha modeli ⭐", + "sw|Preview Blocks/Chapters before to start the conversion": "Hakiki Vizuizi/Sura kabla ya kuanza ubadilishaji", + "sw|Edit by sentence converted for surgical text change": "Hariri kwa sentensi iliyobadilishwa kwa mabadiliko ya maandishi ya kina", + "sw|SML tags integration for voice, pause, break, and more changes ": "Ujumuishaji wa lebo za SML kwa sauti, pumziko, mapumziko, na mabadiliko zaidi ", + "sw|-h -help parameter info in different languages": "Taarifa za vigezo -h -help katika lugha tofauti", + "sw|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Uchanganuzi wa OCR kwa PDF / JPG / BMP / PNG / TIFF", + "sw|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Folda ya Notebooks [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "sw|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Kufanya ugawanyaji wa maandishi ya Kichina usigawanye maneno na kuboresha muda wa mapumziko [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "sw|Kaggle Notebook": "Daftari la Kaggle", + "sw|Google Colab Notebook": "Daftari la Google Colab", + "sw|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Tengeneza programu ya IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sw|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Tengeneza programu ya android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sw|Audiobookshelf integration": "Ujumuishaji wa Audiobookshelf", + "sw|Extra Options": "Chaguo za Ziada", + "sw|Ebook Translation option": "Chaguo la Tafsiri ya eBook", + "sw|Output format choices": "Chaguo za muundo wa matokeo", + "sw|Batch ebook folder": "Folda ya eBook ya kundi", + "sw|Multiprocessing conversion": "Ubadilishaji wa uchakataji-nyingi", + "sw|Batch ebook folder conversion": "Ubadilishaji wa folda ya eBook ya kundi", + "sw|GPU Device detection": "Utambuzi wa Kifaa cha GPU", + "sw|Denoise any reference audio for upload voice cloning,": "Ondoa kelele kwenye sauti yoyote ya marejeleo kwa upakiaji wa unakili wa sauti,", + "sw|Custom model upload (XTTSv2 only for now. more on request)": "Upakiaji wa modeli maalum (XTTSv2 pekee kwa sasa. zaidi kwa ombi)", + "sw|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ongeza modeli ya lugha ya Kireno cha Ulaya kwa angalau xttsv2, fairseq, vits, piper (msaada unakaribishwa)", + "sw|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Ongeza modeli ya lugha ya Kisindhi kwa angalau xttsv2, fairseq, vits, piper (msaada unakaribishwa)", + "sw|Readme Translation": "Tafsiri ya Readme", + "sw|🐍 OS Compatibility": "🐍 Uoanifu wa OS", + "sw|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Ziada ya Kupita Kiasi kwa kufunza modeli na mengineyo (Modeli zote za Coqui-tts zinazoungwa mkono na piper-tts katika amri moja rahisi) ", + "sw|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Kwa maelezo kuhusu hili @DrewThomasson, kwa sasa anafanyia kazi maendeleo ya hili, [repo inayoendelea hapa](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "sw|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Tengeneza gui ya mafunzo rahisi kutumia kwa modeli zote za coqui-tts katika maagizo ya mafunzo ya muundo wa ljspeech [hapa kutoka coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "sw|Python Code normalization information for contributors": "Maelezo ya usanifishaji wa Msimbo wa Python kwa wachangiaji", + "sw|no blank line between code, unless between functions and classes.": "hakuna mstari tupu kati ya msimbo, isipokuwa kati ya kazi na madarasa.", + "sw|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "nukuu moja inatumika kwa funguo zote isipokuwa kwa dict() na json. dict['key'] huitwa kila wakati kwa nukuu moja", + "sw|4 spaces indentation, not tab at all": "mwingizo wa nafasi 4, sio tab hata kidogo", + "sw|strict typing for all functions and its arguments declaration and return values": "uchapaji mkali kwa kazi zote na tamko la hoja zake na thamani za kurudi", + "sw|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "hakuna nafasi kati ya hoja na uchapaji wake, hakuna nafasi kati ya kazi, \"->\" na thamani ya kurudi", + "sw|Example:": "Mfano:", + "sw|Hardware donation for beta tests wanted": "Mchango wa maunzi kwa majaribio ya beta unahitajika", + "sw|We accept any kind of hardware to test our development like:": "Tunakubali aina yoyote ya maunzi ili kujaribu maendeleo yetu kama vile:", + "sw|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson ikiwa unataka kusaidia kwa namna yoyote ile! 😃", + "sw|Do you need to rent a GPU to boost service from us?": "Je, unahitaji kukodisha GPU ili kuongeza huduma kutoka kwetu?", + "sw|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Kura ya maoni imefunguliwa hapa https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "sw|Special Thanks": "Shukrani za Pekee", + "sw|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 kwa njia bora ya kuhifadhi sura](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "sw|TTS engines": "Injini za TTS", + "sw|XTTSv2": "XTTSv2", + "sw|Bark": "ngano", + "sw|Fairseq": "Fairseq", + "sw|VITS": "VITS", + "sw|Tacotron2": "Tacotron2", + "sw|YourTTS": "YourTTS", + "sw|Tortoise": "Usipoteze muda wan", + "sw|GlowTTS": "GlowTTS", + "sw|Piper": "Piper", + "sw|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "sw|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "sw|fish-speech (https://github.com/fishaudio/fish-speech)": "msemo wa samaki (https://github.com/fishaudio/fish-speech)", + "sw|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "sw|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "sw|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "sw|chatterbox (https://github.com/resemble-ai/chatterbox)": "sanduku la mazungumzo (https://github.com/resemble-ai/chatterbox)", + "sw|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "sw|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "sw|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "sw|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "sw|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "sw|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "sw|Zonos (https://github.com/Zyphra/Zonos)": "Kanda (https://github.com/Zyphra/Zonos)", + "sw|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Mtindo-TTS2 (https://github.com/yl4579/StyleTTS2)", + "sw|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "sw|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "sw|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "sw|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "id|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "Konverter CPU/GPU dari E-Book ke buku audio dengan bab dan metadata<br/>", + "id|using advanced TTS engines and much more.<br/>": "menggunakan mesin TTS canggih dan banyak lagi.<br/>", + "id|Supports voice cloning and 1158 languages!": "Mendukung kloning suara dan 1158 bahasa!", + "id|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Alat ini ditujukan hanya untuk digunakan dengan eBook tanpa DRM yang diperoleh secara legal.** <br>", + "id|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Penulis tidak bertanggung jawab atas penyalahgunaan perangkat lunak ini atau konsekuensi hukum yang timbul. <br>", + "id|Use this tool responsibly and in accordance with all applicable laws.": "Gunakan alat ini secara bertanggung jawab dan sesuai dengan semua hukum yang berlaku.", + "id|Thanks to support ebook2audiobook developers!": "Terima kasih telah mendukung pengembang ebook2audiobook!", + "id|Run locally": "Jalankan secara lokal", + "id|Run Remotely": "Jalankan dari jarak jauh", + "id|GUI Interface": "Antarmuka GUI", + "id|<summary>Click to see images of Web GUI</summary>": "<summary>Klik untuk melihat gambar GUI Web</summary>", + "id|Demos": "Demo", + "id|**New Default Voice Demo** ": "**Demo Suara Default Baru** ", + "id|<summary>More Demos</summary>": "<summary>Demo lainnya</summary>", + "id|**ASMR Voice** ": "**Suara ASMR** ", + "id|**Rainy Day Voice** ": "**Suara Hari Hujan** ", + "id|**Scarlett Voice**": "**Suara Scarlett**", + "id|**David Attenborough Voice** ": "**Suara David Attenborough** ", + "id|**Example**": "**Contoh**", + "id|Table of Contents": "Daftar Isi", + "id|[Features](#features)": "[Fitur](#features)", + "id|[GUI Interface](#gui-interface)": "[Antarmuka GUI](#gui-interface)", + "id|[Demos](#demos)": "[Demo](#demos)", + "id|[Supported Languages](#supported-languages)": "[Bahasa yang Didukung](#supported-languages)", + "id|[Minimum Requirements](#hardware-requirements)": "[Persyaratan Minimum](#hardware-requirements)", + "id|[Usage](#instructions)": "[Penggunaan](#instructions)", + "id|[Run Locally](#instructions)": "[Jalankan secara Lokal](#instructions)", + "id|[Launching Gradio Web Interface](#instructions)": "[Meluncurkan Antarmuka Web Gradio](#instructions)", + "id|[Basic Headless Usage](#basic-usage)": "[Penggunaan Headless Dasar](#basic-usage)", + "id|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Penggunaan Model XTTS Kustom Headless](#example-of-custom-model-zip-upload)", + "id|[Help command output](#help-command-output)": "[Keluaran perintah bantuan](#help-command-output)", + "id|[Run Remotely](#run-remotely)": "[Jalankan dari Jarak Jauh](#run-remotely)", + "id|[Steps to Run](#docker)": "[Langkah-langkah Menjalankan](#docker)", + "id|[Common Docker Issues](#common-docker-issues)": "[Masalah Docker Umum](#common-docker-issues)", + "id|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Model TTS yang Disetel Halus](#fine-tuned-tts-models)", + "id|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Koleksi Model TTS yang Disetel Halus](#fine-tuned-tts-collection)", + "id|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Melatih XTTSv2](#fine-tune-your-own-xttsv2-model)", + "id|[Supported eBook Formats](#supported-ebook-formats)": "[Format eBook yang Didukung](#supported-ebook-formats)", + "id|[Output Formats](#output-and-process-formats)": "[Format Keluaran](#output-and-process-formats)", + "id|[Revert to older Version](#reverting-to-older-versions)": "[Mengembalikan ke Versi lebih lama](#reverting-to-older-versions)", + "id|[Common Issues](#common-issues)": "[Masalah Umum](#common-issues)", + "id|[Special Thanks](#special-thanks)": "[Terima Kasih Khusus](#special-thanks)", + "id|[Table of Contents](#table-of-contents)": "[Daftar Isi](#table-of-contents)", + "id|Features": "Fitur", + "id|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Mesin TTS yang didukung**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "id|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Mengonversi berbagai format file**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "id|💻 **TextArea** to convert directly a short text in audio": "💻 **Area Teks** untuk langsung mengonversi teks pendek menjadi audio", + "id|🔍 **OCR scanning** for files with text pages as images": "🔍 **Pemindaian OCR** untuk file dengan halaman teks berupa gambar", + "id|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Text-to-speech berkualitas tinggi**, dari hampir waktu nyata hingga suara hampir nyata", + "id|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Kloning suara opsional** menggunakan file suara Anda sendiri", + "id|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Mendukung 1158 bahasa** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "id|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Ramah sumber daya rendah** — berjalan pada **2 GB RAM / 1 GB VRAM (minimum)**", + "id|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Format keluaran buku audio**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "id|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Tag SML didukung** — kontrol terperinci atas jeda, hentian, peralihan suara, dan lainnya ([see below](#sml-tags-available))", + "id|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Model kustom opsional** menggunakan model latih Anda sendiri (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "id|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Model preset yang disetel halus** yang dilatih oleh Tim E2A<br/>", + "id|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Hubungi kami jika Anda memerlukan model yang disetel halus tambahan, atau jika Anda ingin membagikan milik Anda ke daftar preset resmi)</i>", + "id|Hardware Requirements": "Persyaratan Perangkat Keras", + "id|2GB RAM min, 8GB recommended.": "RAM 2GB min, 8GB direkomendasikan.", + "id|1GB VRAM min, 4GB recommended.": "VRAM 1GB min, 4GB direkomendasikan.", + "id|Virtualization enabled if running on windows (Docker only).": "Virtualisasi diaktifkan jika berjalan di windows (hanya Docker).", + "id|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "id|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Mesin TTS modern sangat lambat di CPU, jadi gunakan TTS berkualitas lebih rendah seperti YourTTS, Tacotron2 dll.</i>", + "id|Supported Languages": "Bahasa yang Didukung", + "id|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 bahasa dan dialek di sini**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "id|Supported eBook Formats": "Format eBook yang Didukung", + "id|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Hasil terbaik**: `.epub` atau `.mobi` untuk deteksi bab otomatis", + "id|Output and process Formats": "Format Keluaran dan proses", + "id|Process format can be changed in lib/conf.py": "Format proses dapat diubah di lib/conf.py", + "id|SML tags available": "Tag SML yang tersedia", + "id|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — hening (rentang acak **0.3–0.6 sec.**)", + "id|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — hening (rentang acak **1.0–1.6 sec.**)", + "id|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — jeda tetap (**N sec.**)", + "id|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — alihkan suara dari suara default atau suara yang dipilih dari GUI/CLI", + "id|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Lihat repo kami yang lain yang didedikasikan untuk menambahkan SML secara otomatis di eBook Anda -> [E2A-SML](./tools/E2A-SML)**", + "id|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Sebelum memposting masalah pemasangan atau bug, cari dengan cermat di TAB masalah yang terbuka dan tertutup<br>", + "id|to be sure your issue does not exist already.**": "untuk memastikan masalah Anda belum ada.**", + "id|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Format EPUB tidak memiliki struktur standar apa pun seperti apa itu bab, paragraf, kata pengantar, dll.<br>", + "id|So you should first remove manually any text you don't want to be converted in audio.**": "Jadi Anda harus terlebih dahulu menghapus secara manual teks apa pun yang tidak ingin Anda konversi menjadi audio.**", + "id|**Install / Run ebook2audiobook**:": "**Pasang / Jalankan ebook2audiobook**:", + "id|**Mac Launcher** ": "**Peluncur Mac** ", + "id|Double click `Mac Ebook2Audiobook Launcher.command`": "Klik dua kali `Mac Ebook2Audiobook Launcher.command`", + "id|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Catatan untuk pengguna Windows: scoop dipasang untuk memasang program yang hilang tanpa hak istimewa administrator.</i>", + "id|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Buka Aplikasi Web**: Klik URL yang disediakan di terminal untuk mengakses aplikasi web dan mengonversi eBook. `http://localhost:7860/`", + "id|**For Public Link**:": "**Untuk Tautan Publik**:", + "id|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Jika skrip dihentikan dan dijalankan lagi, Anda perlu menyegarkan antarmuka GUI gradio Anda<br>", + "id|to let the web page reconnect to the new connection socket.**": "agar halaman web dapat terhubung kembali ke soket koneksi yang baru.**", + "id|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Jalur ke file eBook Anda", + "id|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Jalur file kloning suara (opsional)", + "id|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Kode bahasa dalam ISO-639-3 (yaitu: ita untuk Italia, eng untuk Inggris, deu untuk Jerman...).<br>", + "id|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Bahasa default adalah eng dan --language bersifat opsional untuk bahasa default yang diatur di ./lib/lang.py.<br>", + "id|The ISO-639-1 2 letters codes are also supported.": "Kode ISO-639-1 2 huruf juga didukung.", + "id|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Jalur ke file `model_name.zip`,", + "id|which must contain (according to the tts engine) all the mandatory files<br>": "yang harus berisi (sesuai mesin tts) semua file wajib<br>", + "id|(see ./lib/models.py).": "(lihat ./lib/models.py).", + "id|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "CATATAN: dalam mode gradio/gui, untuk membatalkan konversi yang sedang berjalan, cukup klik [X] dari komponen unggah eBook.", + "id|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIPS: jika perlu jeda lebih lama, tambahkan '[pause:3]' untuk 3 dtk. dll.", + "id|Common Docker Issues": "Masalah Docker Umum", + "id|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU NVIDIA saya tidak terdeteksi?? -> [Halaman Wiki MASALAH GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "id|Fine Tuned TTS models": "Model TTS yang Disetel Halus (fine-tuned)", + "id|Fine Tune your own XTTSv2 model": "Setel Halus model XTTSv2 Anda sendiri", + "id|De-noise training data": "Menghilangkan derau dari data pelatihan", + "id|Fine Tuned TTS Collection": "Koleksi Model TTS yang Disetel Halus", + "id|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Untuk model kustom XTTSv2, klip audio referensi dari suara referensi wajib ada:", + "id|Your own Ebook2Audiobook customization": "Kustomisasi Ebook2Audiobook Anda sendiri", + "id|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Anda bebas memodifikasi libs/conf.py untuk menambah atau menghapus pengaturan yang Anda inginkan. Jika Anda berencana melakukannya, cukup buat", + "id|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "salinan conf.py asli sehingga pada setiap pembaruan ebook2audiobook Anda akan mencadangkan conf.py yang dimodifikasi dan mengembalikan", + "id|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "yang asli. Anda harus merencanakan proses yang sama untuk models.py. Jika Anda ingin menjadikan model kustom Anda sendiri", + "id|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "sebagai model ebook2audiobook resmi yang disetel halus, silakan hubungi kami dan kami akan menambahkannya ke daftar preset.", + "id|Common Issues:": "Masalah Umum:", + "id|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "GPU NVIDIA/ROCm/XPU/MPS saya tidak terdeteksi?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "id|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU lambat (lebih baik di CPU smp server) sementara GPU dapat melakukan konversi hampir waktu nyata.", + "id|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Namun ia tidak memiliki kloning suara zero-shot, dan merupakan suara berkualitas Siri, tetapi jauh lebih cepat di cpu).", + "id|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "\"Saya mengalami masalah dependensi\" - Cukup gunakan docker, sepenuhnya mandiri dan memiliki mode headless,", + "id|add `--help` parameter at the end of the docker run command for more information.": "tambahkan parameter `--help` di akhir perintah docker run untuk informasi lebih lanjut.", + "id|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "\"Saya mendapat masalah audio terpotong!\" - HARAP BUAT ISSUE TENTANG INI,", + "id|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "kami tidak berbicara setiap bahasa dan memerlukan saran dari pengguna untuk menyetel halus logika pemisahan kalimat.😊", + "id|***** ROADMAP *****": "***** PETA JALAN *****", + "id|All Features open to public Contributions ⭐": "Semua Fitur terbuka untuk Kontribusi publik ⭐", + "id|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Bantuan apa pun dari orang yang berbicara salah satu bahasa yang didukung untuk membantu kami meningkatkan model ⭐", + "id|Preview Blocks/Chapters before to start the conversion": "Pratinjau Blok/Bab sebelum memulai konversi", + "id|Edit by sentence converted for surgical text change": "Edit per kalimat yang dikonversi untuk perubahan teks yang presisi", + "id|SML tags integration for voice, pause, break, and more changes ": "Integrasi tag SML untuk suara, jeda, hentian, dan lebih banyak perubahan ", + "id|-h -help parameter info in different languages": "Info parameter -h -help dalam berbagai bahasa", + "id|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Pemindaian OCR untuk PDF / JPG / BMP / PNG / TIFF", + "id|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Folder Notebook [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "id|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Membuat pemisahan teks Tiongkok tidak memisahkan kata dan meningkatkan pengaturan waktu jeda [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "id|Kaggle Notebook": "Notebook Kaggle", + "id|Google Colab Notebook": "Notebook Google Colab", + "id|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Membuat aplikasi IOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "id|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Membuat aplikasi android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "id|Audiobookshelf integration": "Integrasi Audiobookshelf", + "id|Extra Options": "Opsi Tambahan", + "id|Ebook Translation option": "Opsi Terjemahan eBook", + "id|Output format choices": "Pilihan format keluaran", + "id|Batch ebook folder": "Folder eBook batch", + "id|Multiprocessing conversion": "Konversi multiproses", + "id|Batch ebook folder conversion": "Konversi folder eBook batch", + "id|GPU Device detection": "Deteksi Perangkat GPU", + "id|Denoise any reference audio for upload voice cloning,": "Menghilangkan derau dari audio referensi apa pun untuk unggah kloning suara,", + "id|Custom model upload (XTTSv2 only for now. more on request)": "Unggah model kustom (hanya XTTSv2 untuk saat ini. lebih banyak atas permintaan)", + "id|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Menambahkan model bahasa Portugis Eropa setidaknya untuk xttsv2, fairseq, vits, piper (bantuan dipersilakan)", + "id|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Menambahkan model bahasa Sindhi setidaknya untuk xttsv2, fairseq, vits, piper (bantuan dipersilakan)", + "id|Readme Translation": "Terjemahan Readme", + "id|🐍 OS Compatibility": "🐍 Kompatibilitas OS", + "id|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Ekstra Berlebihan untuk melatih model dan semacamnya (Semua model Coqui-tts yang didukung dan piper-tts dalam satu perintah mudah) ", + "id|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Untuk info tentang ini @DrewThomasson, dia saat ini sedang mengerjakan pengembangannya, [repo dalam pengerjaan di sini](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "id|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Membuat gui pelatihan yang mudah digunakan untuk semua model coqui-tts dalam resep pelatihan format ljspeech [di sini dari coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "id|Python Code normalization information for contributors": "Informasi normalisasi Kode Python untuk kontributor", + "id|no blank line between code, unless between functions and classes.": "tidak ada baris kosong di antara kode, kecuali di antara fungsi dan kelas.", + "id|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "tanda kutip tunggal digunakan untuk semua kunci kecuali untuk dict() dan json. dict['key'] selalu dipanggil dengan tanda kutip tunggal", + "id|4 spaces indentation, not tab at all": "indentasi 4 spasi, sama sekali bukan tab", + "id|strict typing for all functions and its arguments declaration and return values": "pengetikan ketat untuk semua fungsi serta deklarasi argumen dan nilai kembaliannya", + "id|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "tidak ada spasi antara argumen dan pengetikannya, tidak ada spasi antara fungsi, \"->\" dan nilai kembalian", + "id|Example:": "Contoh:", + "id|Hardware donation for beta tests wanted": "Donasi perangkat keras untuk uji beta dicari", + "id|We accept any kind of hardware to test our development like:": "Kami menerima segala jenis perangkat keras untuk menguji pengembangan kami seperti:", + "id|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson jika Anda ingin membantu dengan cara apa pun! 😃", + "id|Do you need to rent a GPU to boost service from us?": "Apakah Anda perlu menyewa GPU untuk meningkatkan layanan dari kami?", + "id|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Sebuah jajak pendapat dibuka di sini https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "id|Special Thanks": "Terima Kasih Khusus", + "id|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 untuk metode penyimpanan bab yang lebih baik](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "id|TTS engines": "Mesin tts", + "id|XTTSv2": "XTTSv2", + "id|Bark": "Gonggong", + "id|Fairseq": "Fairseq", + "id|VITS": "VITS", + "id|Tacotron2": "Tacotron2", + "id|YourTTS": "YourTTS", + "id|Tortoise": "Kura-kura", + "id|GlowTTS": "GlowTTS", + "id|Piper": "Piper", + "id|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT - SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "id|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "id|fish-speech (https://github.com/fishaudio/fish-speech)": "fish - speech (https://github.com/fishaudio/fish-speech)", + "id|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "id|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "id|F5-TTS (https://github.com/swivid/f5-tts)": "F5 - tts (https://github.com/swivid/f5-tts)", + "id|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "id|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonik (https://github.com/supertone-inc/supertonic)", + "id|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark - tts (https://github.com/sparkaudio/spark-tts)", + "id|index-tts (https://github.com/index-tts/index-tts)": "index - tts (https://github.com/index-tts/index-tts)", + "id|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "id|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro - tts (https://github.com/hexgrad/kokoro)", + "id|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "id|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "id|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Style - tts2 (https://github.com/yl4579/StyleTTS2)", + "id|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus - tts (https://github.com/canopyai/Orpheus-TTS)", + "id|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "id|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "id|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3 - tts (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "sk|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU prevodník z e-knihy na audioknihu s kapitolami a metadátami<br/>", + "sk|using advanced TTS engines and much more.<br/>": "s využitím pokročilých TTS enginov a mnohého ďalšieho.<br/>", + "sk|Supports voice cloning and 1158 languages!": "Podporuje klonovanie hlasu a 1158 jazykov!", + "sk|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Tento nástroj je určený len na použitie s e-knihami bez DRM, získanými legálne.** <br>", + "sk|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Autori nenesú zodpovednosť za akékoľvek zneužitie tohto softvéru ani za prípadné právne následky. <br>", + "sk|Use this tool responsibly and in accordance with all applicable laws.": "Používajte tento nástroj zodpovedne a v súlade so všetkými platnými zákonmi.", + "sk|Thanks to support ebook2audiobook developers!": "Ďakujeme za podporu vývojárov ebook2audiobook!", + "sk|Run locally": "Spustenie lokálne", + "sk|Run Remotely": "Spustenie vzdialene", + "sk|GUI Interface": "Grafické rozhranie (GUI)", + "sk|<summary>Click to see images of Web GUI</summary>": "<summary>Kliknite pre zobrazenie obrázkov webového GUI</summary>", + "sk|Demos": "Ukážky", + "sk|**New Default Voice Demo** ": "**Ukážka nového predvoleného hlasu** ", + "sk|<summary>More Demos</summary>": "<summary>Viac ukážok</summary>", + "sk|**ASMR Voice** ": "**Hlas ASMR** ", + "sk|**Rainy Day Voice** ": "**Hlas daždivého dňa** ", + "sk|**Scarlett Voice**": "**Hlas Scarlett**", + "sk|**David Attenborough Voice** ": "**Hlas Davida Attenborougha** ", + "sk|**Example**": "**Príklad**", + "sk|Table of Contents": "Obsah", + "sk|[Features](#features)": "[Funkcie](#features)", + "sk|[GUI Interface](#gui-interface)": "[Grafické rozhranie](#gui-interface)", + "sk|[Demos](#demos)": "[Ukážky](#demos)", + "sk|[Supported Languages](#supported-languages)": "[Podporované jazyky](#supported-languages)", + "sk|[Minimum Requirements](#hardware-requirements)": "[Minimálne požiadavky](#hardware-requirements)", + "sk|[Usage](#instructions)": "[Použitie](#instructions)", + "sk|[Run Locally](#instructions)": "[Spustenie lokálne](#instructions)", + "sk|[Launching Gradio Web Interface](#instructions)": "[Spustenie webového rozhrania Gradio](#instructions)", + "sk|[Basic Headless Usage](#basic-usage)": "[Základné použitie v režime headless](#basic-usage)", + "sk|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Použitie vlastného modelu XTTS v režime headless](#example-of-custom-model-zip-upload)", + "sk|[Help command output](#help-command-output)": "[Výstup príkazu pomocníka](#help-command-output)", + "sk|[Run Remotely](#run-remotely)": "[Spustenie vzdialene](#run-remotely)", + "sk|[Steps to Run](#docker)": "[Kroky na spustenie](#docker)", + "sk|[Common Docker Issues](#common-docker-issues)": "[Časté problémy s Dockerom](#common-docker-issues)", + "sk|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Doladené TTS modely](#fine-tuned-tts-models)", + "sk|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Kolekcia doladených TTS modelov](#fine-tuned-tts-collection)", + "sk|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Trénovanie XTTSv2](#fine-tune-your-own-xttsv2-model)", + "sk|[Supported eBook Formats](#supported-ebook-formats)": "[Podporované formáty e-kníh](#supported-ebook-formats)", + "sk|[Output Formats](#output-and-process-formats)": "[Výstupné formáty](#output-and-process-formats)", + "sk|[Revert to older Version](#reverting-to-older-versions)": "[Návrat k staršej verzii](#reverting-to-older-versions)", + "sk|[Common Issues](#common-issues)": "[Časté problémy](#common-issues)", + "sk|[Special Thanks](#special-thanks)": "[Osobitné poďakovanie](#special-thanks)", + "sk|[Table of Contents](#table-of-contents)": "[Obsah](#table-of-contents)", + "sk|Features": "Funkcie", + "sk|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Podporované TTS enginy**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "sk|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Prevod viacerých formátov súborov**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "sk|💻 **TextArea** to convert directly a short text in audio": "💻 **Textové pole** na priamy prevod krátkeho textu na zvuk", + "sk|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR skenovanie** pre súbory s textovými stránkami vo forme obrázkov", + "sk|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Vysokokvalitný prevod textu na reč**, od takmer reálneho času po takmer skutočný hlas", + "sk|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Voliteľné klonovanie hlasu** pomocou vlastného hlasového súboru", + "sk|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Podporuje 1158 jazykov** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "sk|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Vhodné pre obmedzené zdroje** — beží na **2 GB RAM / 1 GB VRAM (minimum)**", + "sk|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Výstupné formáty audioknihy**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "sk|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Podpora SML tagov** — jemné ovládanie prerušení, páuz, prepínania hlasu a ďalšieho ([see below](#sml-tags-available))", + "sk|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Voliteľný vlastný model** pomocou vášho vlastného natrénovaného modelu (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "sk|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Doladené prednastavené modely** natrénované tímom E2A<br/>", + "sk|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kontaktujte nás, ak potrebujete ďalšie doladené modely, alebo ak chcete zdieľať tie svoje v oficiálnom zozname predvolieb)</i>", + "sk|Hardware Requirements": "Hardvérové požiadavky", + "sk|2GB RAM min, 8GB recommended.": "2 GB RAM min., 8 GB odporúčané.", + "sk|1GB VRAM min, 4GB recommended.": "1 GB VRAM min., 4 GB odporúčané.", + "sk|Virtualization enabled if running on windows (Docker only).": "Povolená virtualizácia pri spustení vo Windows (iba Docker).", + "sk|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "sk|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderné TTS enginy sú na CPU veľmi pomalé, používajte teda TTS nižšej kvality ako YourTTS, Tacotron2 atď.</i>", + "sk|Supported Languages": "Podporované jazyky", + "sk|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 jazykov a dialektov tu**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "sk|Supported eBook Formats": "Podporované formáty e-kníh", + "sk|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Najlepšie výsledky**: `.epub` alebo `.mobi` pre automatickú detekciu kapitol", + "sk|Output and process Formats": "Formáty výstupu a spracovania", + "sk|Process format can be changed in lib/conf.py": "Formát spracovania je možné zmeniť v lib/conf.py", + "sk|SML tags available": "Dostupné SML tagy", + "sk|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — ticho (náhodný rozsah **0.3–0.6 sec.**)", + "sk|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — ticho (náhodný rozsah **1.0–1.6 sec.**)", + "sk|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — pevná pauza (**N sec.**)", + "sk|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — prepnutie hlasu z predvoleného alebo vybraného hlasu z GUI/CLI", + "sk|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Pozrite si náš ďalší repozitár venovaný automatickému pridávaniu SML do vašej e-knihy -> [E2A-SML](./tools/E2A-SML)**", + "sk|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Skôr než nahlásite problém s inštaláciou alebo chybu, dôkladne prehľadajte záložku otvorených a uzavretých issues<br>", + "sk|to be sure your issue does not exist already.**": "aby ste sa uistili, že váš problém ešte neexistuje.**", + "sk|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Formát EPUB postráda akúkoľvek štandardnú štruktúru definujúcu, čo je kapitola, odsek, predslov atď.<br>", + "sk|So you should first remove manually any text you don't want to be converted in audio.**": "Preto by ste mali najprv ručne odstrániť všetok text, ktorý nechcete prevádzať na zvuk.**", + "sk|**Install / Run ebook2audiobook**:": "**Nainštalujte / Spustite ebook2audiobook**:", + "sk|**Mac Launcher** ": "**Spúšťač pre Mac** ", + "sk|Double click `Mac Ebook2Audiobook Launcher.command`": "Dvakrát kliknite na `Mac Ebook2Audiobook Launcher.command`", + "sk|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Poznámka pre používateľov Windows: na inštaláciu chýbajúcich programov bez administrátorských oprávnení sa inštaluje scoop.</i>", + "sk|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Otvorte webovú aplikáciu**: Kliknite na adresu URL uvedenú v termináli pre prístup k webovej aplikácii a prevod e-kníh. `http://localhost:7860/`", + "sk|**For Public Link**:": "**Pre verejný odkaz**:", + "sk|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Ak je skript zastavený a znovu spustený, musíte obnoviť svoje grafické rozhranie Gradio<br>", + "sk|to let the web page reconnect to the new connection socket.**": "aby sa webová stránka mohla znovu pripojiť k novému pripojovaciemu socketu.**", + "sk|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Cesta k súboru vašej e-knihy", + "sk|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Cesta k súboru pre klonovanie hlasu (voliteľné)", + "sk|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Kód jazyka v ISO-639-3 (napr.: ita pre taliančinu, eng pre angličtinu, deu pre nemčinu...).<br>", + "sk|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Predvolený jazyk je eng a --language je voliteľný pre predvolený jazyk nastavený v ./lib/lang.py.<br>", + "sk|The ISO-639-1 2 letters codes are also supported.": "Podporované sú aj dvojpísmenové kódy ISO-639-1.", + "sk|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Cesta k súboru `model_name.zip`,", + "sk|which must contain (according to the tts engine) all the mandatory files<br>": "ktorý musí obsahovať (podľa TTS enginu) všetky povinné súbory<br>", + "sk|(see ./lib/models.py).": "(pozri ./lib/models.py).", + "sk|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "POZNÁMKA: v režime gradio/gui zrušíte prebiehajúci prevod jednoducho kliknutím na [X] v komponente na nahranie e-knihy.", + "sk|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "TIP: ak je potrebná o niečo dlhšia pauza, pridajte '[pause:3]' pre 3 s atď.", + "sk|Common Docker Issues": "Časté problémy s Dockerom", + "sk|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moje GPU NVIDIA nie je detekované?? -> [Wiki stránka PROBLÉMY S GPU](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sk|Fine Tuned TTS models": "Doladené (fine-tuned) TTS modely", + "sk|Fine Tune your own XTTSv2 model": "Doláďte svoj vlastný model XTTSv2", + "sk|De-noise training data": "Odšumenie tréningových dát", + "sk|Fine Tuned TTS Collection": "Kolekcia doladených TTS modelov", + "sk|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Pre vlastný model XTTSv2 je povinný referenčný zvukový klip hlasu:", + "sk|Your own Ebook2Audiobook customization": "Vaša vlastná úprava Ebook2Audiobook", + "sk|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Môžete ľubovoľne upravovať libs/conf.py a pridávať či odstraňovať nastavenia, ktoré chcete. Ak to plánujete, jednoducho si urobte", + "sk|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "kópiu pôvodného conf.py, aby ste pri každej aktualizácii ebook2audiobook mohli zálohovať svoj upravený conf.py a vrátiť", + "sk|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "pôvodný. Rovnaký postup musíte naplánovať aj pre models.py. Ak chcete zo svojho vlastného modelu", + "sk|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "urobiť oficiálny doladený model ebook2audiobook, kontaktujte nás a my ho pridáme do zoznamu predvolieb.", + "sk|Common Issues:": "Časté problémy:", + "sk|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moje GPU NVIDIA/ROCm/XPU/MPS nie je detekované?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "sk|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU je pomalé (lepšie na serverovom SMP CPU), zatiaľ čo GPU môže mať takmer prevod v reálnom čase.", + "sk|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Nemá však klonovanie hlasu zero-shot a hlasy sú kvality Siri, ale na CPU je oveľa rýchlejšie).", + "sk|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Mám problémy so závislosťami“ - Použite jednoducho Docker, je úplne samostatný a má režim headless,", + "sk|add `--help` parameter at the end of the docker run command for more information.": "pre viac informácií pridajte na koniec príkazu docker run parameter `--help`.", + "sk|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Mám problém s oREZaným zvukom!“ - PROSÍM, NAHLÁSTE TO AKO ISSUE,", + "sk|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "nehovoríme každým jazykom a potrebujeme rady používateľov, aby sme doladili logiku delenia viet.😊", + "sk|***** ROADMAP *****": "***** PLÁN ROZVOJA *****", + "sk|All Features open to public Contributions ⭐": "Všetky funkcie otvorené verejným príspevkom ⭐", + "sk|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Akákoľvek pomoc od ľudí hovoriacich niektorým z podporovaných jazykov, aby nám pomohli vylepšiť modely ⭐", + "sk|Preview Blocks/Chapters before to start the conversion": "Náhľad blokov/kapitol pred začatím prevodu", + "sk|Edit by sentence converted for surgical text change": "Úprava po prevedenej vete pre chirurgickú zmenu textu", + "sk|SML tags integration for voice, pause, break, and more changes ": "Integrácia SML tagov pre hlas, pauzu, prerušenie a ďalšie zmeny ", + "sk|-h -help parameter info in different languages": "Informácie o parametroch -h -help v rôznych jazykoch", + "sk|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR skenovanie pre PDF / JPG / BMP / PNG / TIFF", + "sk|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Priečinok notebookov [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "sk|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Zabezpečiť, aby delenie čínskeho textu nerozdeľovalo slová, a zlepšiť načasovanie páuz [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "sk|Kaggle Notebook": "Notebook Kaggle", + "sk|Google Colab Notebook": "Notebook Google Colab", + "sk|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Vytvoriť aplikáciu pre iOS](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sk|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Vytvoriť aplikáciu pre Android](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "sk|Audiobookshelf integration": "Integrácia s Audiobookshelf", + "sk|Extra Options": "Ďalšie možnosti", + "sk|Ebook Translation option": "Možnosť prekladu e-knihy", + "sk|Output format choices": "Možnosti výstupného formátu", + "sk|Batch ebook folder": "Dávkový priečinok e-kníh", + "sk|Multiprocessing conversion": "Prevod s multiprocessingom", + "sk|Batch ebook folder conversion": "Dávkový prevod priečinka e-kníh", + "sk|GPU Device detection": "Detekcia zariadenia GPU", + "sk|Denoise any reference audio for upload voice cloning,": "Odšumenie ľubovoľného referenčného zvuku pre nahrané klonovanie hlasu,", + "sk|Custom model upload (XTTSv2 only for now. more on request)": "Nahranie vlastného modelu (zatiaľ iba XTTSv2. viac na vyžiadanie)", + "sk|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Pridať jazykový model európskej portugalčiny aspoň pre xttsv2, fairseq, vits, piper (pomoc vítaná)", + "sk|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Pridať jazykový model sindhčiny aspoň pre xttsv2, fairseq, vits, piper (pomoc vítaná)", + "sk|Readme Translation": "Preklad súboru Readme", + "sk|🐍 OS Compatibility": "🐍 Kompatibilita operačných systémov", + "sk|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Extra nadštandard na trénovanie modelov a podobne (všetky podporované modely Coqui-tts a piper-tts v jednom jednoduchom príkaze) ", + "sk|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Pre informácie o tomto: @DrewThomasson na tom v súčasnosti pracuje, [repozitár vo vývoji tu](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "sk|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Vytvoriť ľahko použiteľné tréningové GUI pre všetky modely coqui-tts v tréningových receptoch vo formáte ljspeech [tu od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "sk|Python Code normalization information for contributors": "Informácie o normalizácii kódu Python pre prispievateľov", + "sk|no blank line between code, unless between functions and classes.": "žiadny prázdny riadok medzi kódom, okrem medzi funkciami a triedami.", + "sk|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "jednoduché úvodzovky použité pre všetky kľúče okrem dict() a json. dict['key'] vždy volaný s jednoduchými úvodzovkami", + "sk|4 spaces indentation, not tab at all": "odsadenie 4 medzery, vôbec žiadne tabulátory", + "sk|strict typing for all functions and its arguments declaration and return values": "striktné typovanie pre všetky funkcie a deklaráciu ich argumentov a návratových hodnôt", + "sk|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "žiadna medzera medzi argumentom a jeho typovaním, žiadna medzera medzi funkciou, „->“ a návratovou hodnotou", + "sk|Example:": "Príklad:", + "sk|Hardware donation for beta tests wanted": "Hľadáme darovanie hardvéru na beta testy", + "sk|We accept any kind of hardware to test our development like:": "Prijímame akýkoľvek druh hardvéru na testovanie nášho vývoja, ako napríklad:", + "sk|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson, ak chcete akokoľvek pomôcť! 😃", + "sk|Do you need to rent a GPU to boost service from us?": "Potrebujete si prenajať GPU na posilnenie našej služby?", + "sk|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Anketa je otvorená tu https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "sk|Special Thanks": "Osobitné poďakovanie", + "sk|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 za lepšiu metódu ukladania kapitol](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "sk|TTS engines": "Motory TTS", + "sk|XTTSv2": "XTTSv2", + "sk|Bark": "kôra", + "sk|Fairseq": "Fairseq", + "sk|VITS": "VITS", + "sk|Tacotron2": "Tacotron2", + "sk|YourTTS": "YourTTS", + "sk|Tortoise": "Korytnačkovité", + "sk|GlowTTS": "GlowTTS", + "sk|Piper": "Piper", + "sk|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SOVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "sk|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "sk|fish-speech (https://github.com/fishaudio/fish-speech)": "fish-speech (https://github.com/fishaudio/fish-speech)", + "sk|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "sk|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "sk|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "sk|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "sk|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "sk|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "sk|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "sk|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "sk|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "sk|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "sk|Zonos (https://github.com/Zyphra/Zonos)": "Zóny (https://github.com/Zyphra/Zonos)", + "sk|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Štýl-TTS2 (https://github.com/yl4579/StyleTTS2)", + "sk|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)", + "sk|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "sk|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "sk|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "hr|CPU/GPU Converter from E-Book to audiobook with chapters and metadata<br/>": "CPU/GPU pretvarač iz e-knjige u audioknjigu s poglavljima i metapodacima<br/>", + "hr|using advanced TTS engines and much more.<br/>": "uz napredne TTS pogone i još mnogo toga.<br/>", + "hr|Supports voice cloning and 1158 languages!": "Podržava kloniranje glasa i 1158 jezika!", + "hr|**This tool is intended for use with non-DRM, legally acquired eBooks only.** <br>": "**Ovaj alat namijenjen je isključivo za upotrebu s e-knjigama bez DRM-a, legalno nabavljenima.** <br>", + "hr|The authors are not responsible for any misuse of this software or any resulting legal consequences. <br>": "Autori nisu odgovorni ni za kakvu zlouporabu ovog softvera niti za eventualne pravne posljedice. <br>", + "hr|Use this tool responsibly and in accordance with all applicable laws.": "Koristite ovaj alat odgovorno i u skladu sa svim primjenjivim zakonima.", + "hr|Thanks to support ebook2audiobook developers!": "Hvala što podržavate razvojne programere ebook2audiobook!", + "hr|Run locally": "Pokretanje lokalno", + "hr|Run Remotely": "Pokretanje na daljinu", + "hr|GUI Interface": "Grafičko sučelje (GUI)", + "hr|<summary>Click to see images of Web GUI</summary>": "<summary>Kliknite za prikaz slika web GUI-ja</summary>", + "hr|Demos": "Demoi", + "hr|**New Default Voice Demo** ": "**Demo novog zadanog glasa** ", + "hr|<summary>More Demos</summary>": "<summary>Više demoa</summary>", + "hr|**ASMR Voice** ": "**ASMR glas** ", + "hr|**Rainy Day Voice** ": "**Glas kišnog dana** ", + "hr|**Scarlett Voice**": "**Scarlett glas**", + "hr|**David Attenborough Voice** ": "**Glas Davida Attenborougha** ", + "hr|**Example**": "**Primjer**", + "hr|Table of Contents": "Sadržaj", + "hr|[Features](#features)": "[Značajke](#features)", + "hr|[GUI Interface](#gui-interface)": "[Grafičko sučelje](#gui-interface)", + "hr|[Demos](#demos)": "[Demoi](#demos)", + "hr|[Supported Languages](#supported-languages)": "[Podržani jezici](#supported-languages)", + "hr|[Minimum Requirements](#hardware-requirements)": "[Minimalni zahtjevi](#hardware-requirements)", + "hr|[Usage](#instructions)": "[Upotreba](#instructions)", + "hr|[Run Locally](#instructions)": "[Pokretanje lokalno](#instructions)", + "hr|[Launching Gradio Web Interface](#instructions)": "[Pokretanje Gradio web sučelja](#instructions)", + "hr|[Basic Headless Usage](#basic-usage)": "[Osnovna upotreba u headless načinu](#basic-usage)", + "hr|[Headless Custom XTTS Model Usage](#example-of-custom-model-zip-upload)": "[Upotreba prilagođenog XTTS modela u headless načinu](#example-of-custom-model-zip-upload)", + "hr|[Help command output](#help-command-output)": "[Izlaz naredbe za pomoć](#help-command-output)", + "hr|[Run Remotely](#run-remotely)": "[Pokretanje na daljinu](#run-remotely)", + "hr|[Steps to Run](#docker)": "[Koraci za pokretanje](#docker)", + "hr|[Common Docker Issues](#common-docker-issues)": "[Česti problemi s Dockerom](#common-docker-issues)", + "hr|[Fine Tuned TTS models](#fine-tuned-tts-models)": "[Fino podešeni TTS modeli](#fine-tuned-tts-models)", + "hr|[Collection of Fine-Tuned TTS Models](#fine-tuned-tts-collection)": "[Zbirka fino podešenih TTS modela](#fine-tuned-tts-collection)", + "hr|[Train XTTSv2](#fine-tune-your-own-xttsv2-model)": "[Treniranje XTTSv2](#fine-tune-your-own-xttsv2-model)", + "hr|[Supported eBook Formats](#supported-ebook-formats)": "[Podržani formati e-knjiga](#supported-ebook-formats)", + "hr|[Output Formats](#output-and-process-formats)": "[Izlazni formati](#output-and-process-formats)", + "hr|[Revert to older Version](#reverting-to-older-versions)": "[Vraćanje na stariju verziju](#reverting-to-older-versions)", + "hr|[Common Issues](#common-issues)": "[Česti problemi](#common-issues)", + "hr|[Special Thanks](#special-thanks)": "[Posebna zahvala](#special-thanks)", + "hr|[Table of Contents](#table-of-contents)": "[Sadržaj](#table-of-contents)", + "hr|Features": "Značajke", + "hr|🔧 **TTS Engines supported**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`": "🔧 **Podržani TTS pogoni**: `XTTSv2`, `Bark`, `Fairseq`, `VITS`, `Tacotron2`, `Tortoise`, `GlowTTS`, `YourTTS`", + "hr|📚 **Convert multiple file formats**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`": "📚 **Pretvaranje više formata datoteka**: `.epub`, `.mobi`, `.azw3`, `.fb2`, `.lrf`, `.rb`, `.snb`, `.tcr`, `.pdf`, `.txt`, `.rtf`, `.doc`, `.docx`, `.html`, `.odt`, `.azw`, `.tiff`, `.tif`, `.png`, `.jpg`, `.jpeg`, `.bmp`, `.zip`", + "hr|💻 **TextArea** to convert directly a short text in audio": "💻 **Tekstno polje** za izravno pretvaranje kratkog teksta u zvuk", + "hr|🔍 **OCR scanning** for files with text pages as images": "🔍 **OCR skeniranje** za datoteke s tekstualnim stranicama u obliku slika", + "hr|🔊 **High-quality text-to-speech** from near realtime to near real voice": "🔊 **Visokokvalitetno pretvaranje teksta u govor**, od gotovo stvarnog vremena do gotovo stvarnog glasa", + "hr|🗣️ **Optional voice cloning** using your own voice file": "🗣️ **Neobavezno kloniranje glasa** pomoću vlastite glasovne datoteke", + "hr|🌐 **Supports 1158 languages** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))": "🌐 **Podržava 1158 jezika** ([supported languages list](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html))", + "hr|💻 **Low-resource friendly** — runs on **2 GB RAM / 1 GB VRAM (minimum)**": "💻 **Prikladno za ograničene resurse** — radi na **2 GB RAM-a / 1 GB VRAM-a (minimum)**", + "hr|🎵 **Audiobook output formats**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`": "🎵 **Izlazni formati audioknjige**: mono or stereo `aac`, `flac`, `mp3`, `m4b`, `m4a`, `mp4`, `mov`, `ogg`, `wav`, `webm`", + "hr|🧠 **SML tags supported** — fine-grained control of breaks, pauses, voice switching and more ([see below](#sml-tags-available))": "🧠 **Podržane SML oznake** — precizna kontrola prekida, pauza, promjene glasa i više ([see below](#sml-tags-available))", + "hr|🧩 **Optional custom model** using your own trained model (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)": "🧩 **Neobavezni prilagođeni model** pomoću vašeg vlastitog istreniranog modela (XTTSv2, VITS, FAIRSEQ, PIPER, others on request)", + "hr|🎛️ **Fine-tuned preset models** trained by the E2A Team<br/>": "🎛️ **Fino podešeni unaprijed postavljeni modeli** istrenirani od strane E2A tima<br/>", + "hr|<i>(Contact us if you need additional fine-tuned models, or if you’d like to share yours to the official preset list)</i>": "<i>(Kontaktirajte nas ako trebate dodatne fino podešene modele ili ako želite podijeliti svoje na službenom popisu unaprijed postavljenih)</i>", + "hr|Hardware Requirements": "Hardverski zahtjevi", + "hr|2GB RAM min, 8GB recommended.": "2 GB RAM-a min., 8 GB preporučeno.", + "hr|1GB VRAM min, 4GB recommended.": "1 GB VRAM-a min., 4 GB preporučeno.", + "hr|Virtualization enabled if running on windows (Docker only).": "Omogućena virtualizacija pri pokretanju na Windowsima (samo Docker).", + "hr|MPS (Apple Silicon CPU)": "MPS (CPU Apple Silicon)", + "hr|*<i> Modern TTS engines are very slow on CPU, so use lower quality TTS like YourTTS, Tacotron2 etc..</i>": "*<i> Moderni TTS pogoni vrlo su spori na CPU-u, pa koristite TTS niže kvalitete poput YourTTS, Tacotron2 itd.</i>", + "hr|Supported Languages": "Podržani jezici", + "hr|[**+1130 languages and dialects here**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)": "[**+1130 jezika i dijalekata ovdje**](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html)", + "hr|Supported eBook Formats": "Podržani formati e-knjiga", + "hr|**Best results**: `.epub` or `.mobi` for automatic chapter detection": "**Najbolji rezultati**: `.epub` ili `.mobi` za automatsko otkrivanje poglavlja", + "hr|Output and process Formats": "Formati izlaza i obrade", + "hr|Process format can be changed in lib/conf.py": "Format obrade može se promijeniti u lib/conf.py", + "hr|SML tags available": "Dostupne SML oznake", + "hr|`[break]` — silence (random range **0.3–0.6 sec.**)": "`[break]` — tišina (nasumični raspon **0.3–0.6 sec.**)", + "hr|`[pause]` — silence (random range **1.0–1.6 sec.**)": "`[pause]` — tišina (nasumični raspon **1.0–1.6 sec.**)", + "hr|`[pause:N]` — fixed pause (**N sec.**)": "`[pause:N]` — fiksna pauza (**N sec.**)", + "hr|`[voice:/path/to/voice/file]...[/voice]` — switch voice from default or selected voice from GUI/CLI": "`[voice:/path/to/voice/file]...[/voice]` — prebacivanje glasa sa zadanog ili odabranog glasa iz GUI/CLI", + "hr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./tools/E2A-SML)**": "**Pogledajte naš drugi repozitorij posvećen automatskom dodavanju SML-a u vašu e-knjigu -> [E2A-SML](./tools/E2A-SML)**", + "hr|**Before to post an install or bug issue search carefully to the opened and closed issues TAB<br>": "**Prije nego što prijavite problem s instalacijom ili pogrešku, pažljivo pretražite karticu otvorenih i zatvorenih problema<br>", + "hr|to be sure your issue does not exist already.**": "kako biste bili sigurni da vaš problem već ne postoji.**", + "hr|**EPUB format lacks any standard structure like what is a chapter, paragraph, preface etc.<br>": "**Format EPUB nema nikakvu standardnu strukturu koja definira što je poglavlje, odlomak, predgovor itd.<br>", + "hr|So you should first remove manually any text you don't want to be converted in audio.**": "Stoga biste prvo trebali ručno ukloniti sav tekst koji ne želite pretvoriti u zvuk.**", + "hr|**Install / Run ebook2audiobook**:": "**Instalirajte / Pokrenite ebook2audiobook**:", + "hr|**Mac Launcher** ": "**Pokretač za Mac** ", + "hr|Double click `Mac Ebook2Audiobook Launcher.command`": "Dvaput kliknite na `Mac Ebook2Audiobook Launcher.command`", + "hr|<i>Note for Windows users: scoop is installed to install missing programs without administrator privileges.</i>": "<i>Napomena za korisnike Windowsa: scoop se instalira radi instalacije programa koji nedostaju bez administratorskih ovlasti.</i>", + "hr|**Open the Web App**: Click the URL provided in the terminal to access the web app and convert eBooks. `http://localhost:7860/`": "**Otvorite web aplikaciju**: Kliknite na URL naveden u terminalu za pristup web aplikaciji i pretvaranje e-knjiga. `http://localhost:7860/`", + "hr|**For Public Link**:": "**Za javnu poveznicu**:", + "hr|**If the script is stopped and run again, you need to refresh your gradio GUI interface<br>": "**Ako se skripta zaustavi i ponovno pokrene, morate osvježiti svoje Gradio GUI sučelje<br>", + "hr|to let the web page reconnect to the new connection socket.**": "kako bi se web stranica ponovno povezala s novim utičnicom veze.**", + "hr|**[--ebook]**: Path to your eBook file": "**[--ebook]**: Putanja do vaše datoteke e-knjige", + "hr|**[--voice]**: Voice cloning file path (optional)": "**[--voice]**: Putanja datoteke za kloniranje glasa (neobavezno)", + "hr|**[--language]**: Language code in ISO-639-3 (i.e.: ita for italian, eng for english, deu for german...).<br>": "**[--language]**: Kod jezika u ISO-639-3 (npr.: ita za talijanski, eng za engleski, deu za njemački...).<br>", + "hr|Default language is eng and --language is optional for default language set in ./lib/lang.py.<br>": "Zadani jezik je eng, a --language je neobavezan za zadani jezik postavljen u ./lib/lang.py.<br>", + "hr|The ISO-639-1 2 letters codes are also supported.": "Podržani su i dvoslovni ISO-639-1 kodovi.", + "hr|**<custom_model_path>**: Path to `model_name.zip` file,": "**<custom_model_path>**: Putanja do datoteke `model_name.zip`,", + "hr|which must contain (according to the tts engine) all the mandatory files<br>": "koja mora sadržavati (ovisno o TTS pogonu) sve obavezne datoteke<br>", + "hr|(see ./lib/models.py).": "(vidi ./lib/models.py).", + "hr|NOTE: in gradio/gui mode, to cancel a running conversion, just click on the [X] from the ebook upload component.": "NAPOMENA: u gradio/gui načinu rada, za otkazivanje pretvaranja u tijeku jednostavno kliknite na [X] na komponenti za učitavanje e-knjige.", + "hr|TIP: if it needs some more pause, add '[pause:3]' for 3 sec. etc.": "SAVJET: ako je potrebna malo dulja pauza, dodajte '[pause:3]' za 3 sek. itd.", + "hr|Common Docker Issues": "Česti problemi s Dockerom", + "hr|My NVIDIA GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moj NVIDIA GPU nije otkriven?? -> [Wiki stranica PROBLEMI S GPU-om](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hr|Fine Tuned TTS models": "Fino podešeni (fine-tuned) TTS modeli", + "hr|Fine Tune your own XTTSv2 model": "Fino podesite vlastiti XTTSv2 model", + "hr|De-noise training data": "Uklanjanje šuma iz podataka za treniranje", + "hr|Fine Tuned TTS Collection": "Zbirka fino podešenih TTS modela", + "hr|For an XTTSv2 custom model a ref audio clip of the voice reference is mandatory:": "Za prilagođeni XTTSv2 model obavezan je referentni audioisječak glasa:", + "hr|Your own Ebook2Audiobook customization": "Vaša vlastita prilagodba Ebook2Audiobook", + "hr|You are free to modify libs/conf.py to add or remove the settings you wish. If you plan to do it just make": "Slobodni ste mijenjati libs/conf.py kako biste dodali ili uklonili željene postavke. Ako to planirate, jednostavno napravite", + "hr|a copy of the original conf.py so on each ebook2audiobook update you will backup your modified conf.py and put": "kopiju izvornog conf.py kako biste pri svakom ažuriranju ebook2audiobook mogli sigurnosno pohraniti svoj izmijenjeni conf.py i vratiti", + "hr|back the original one. You must plan the same process for models.py. If you wish to make your own custom model": "izvorni. Isti postupak morate planirati i za models.py. Ako želite od svog vlastitog prilagođenog modela", + "hr|as an official ebook2audiobook fine tuned model so please contact us and we'll add it to the presets list.": "napraviti službeni fino podešeni ebook2audiobook model, kontaktirajte nas i dodat ćemo ga na popis unaprijed postavljenih.", + "hr|Common Issues:": "Česti problemi:", + "hr|My NVIDIA/ROCm/XPU/MPS GPU isn't being detected?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)": "Moj NVIDIA/ROCm/XPU/MPS GPU nije otkriven?? -> [GPU ISSUES Wiki Page](https://github.com/DrewThomasson/ebook2audiobook/wiki/GPU-ISSUES)", + "hr|CPU is slow (better on server smp CPU) while GPU can have almost real time conversion.": "CPU je spor (bolje na serverskom SMP CPU-u) dok GPU može imati gotovo pretvaranje u stvarnom vremenu.", + "hr|(It doesn't have zero-shot voice cloning though, and is Siri quality voices, but it is much faster on cpu).": "(Međutim, nema zero-shot kloniranje glasa, a glasovi su Siri kvalitete, ali je puno brži na CPU-u).", + "hr|\"I'm having dependency issues\" - Just use the docker, its fully self contained and has a headless mode,": "„Imam problema s ovisnostima“ - Jednostavno koristite Docker, potpuno je samostalan i ima headless način,", + "hr|add `--help` parameter at the end of the docker run command for more information.": "dodajte parametar `--help` na kraj naredbe docker run za više informacija.", + "hr|\"I'm getting a truncated audio issue!\" - PLEASE MAKE AN ISSUE OF THIS,": "„Imam problem s odrezanim zvukom!“ - MOLIMO OTVORITE ISSUE O TOME,", + "hr|we don't speak every language and need advise from users to fine tune the sentence splitting logic.😊": "ne govorimo svaki jezik i trebamo savjete korisnika kako bismo fino podesili logiku dijeljenja rečenica.😊", + "hr|***** ROADMAP *****": "***** PLAN RAZVOJA *****", + "hr|All Features open to public Contributions ⭐": "Sve značajke otvorene za javne doprinose ⭐", + "hr|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Bilo kakva pomoć od ljudi koji govore neki od podržanih jezika kako bi nam pomogli poboljšati modele ⭐", + "hr|Preview Blocks/Chapters before to start the conversion": "Pregled blokova/poglavlja prije početka pretvaranja", + "hr|Edit by sentence converted for surgical text change": "Uređivanje po pretvorenoj rečenici za kiruršku izmjenu teksta", + "hr|SML tags integration for voice, pause, break, and more changes ": "Integracija SML oznaka za glas, pauzu, prekid i druge promjene ", + "hr|-h -help parameter info in different languages": "Informacije o parametrima -h -help na različitim jezicima", + "hr|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "OCR skeniranje za PDF / JPG / BMP / PNG / TIFF", + "hr|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Mapa bilježnica [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "hr|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Učiniti da dijeljenje kineskog teksta ne razdvaja riječi i poboljšati vremensko usklađivanje pauza [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "hr|Kaggle Notebook": "Kaggle bilježnica", + "hr|Google Colab Notebook": "Google Colab bilježnica", + "hr|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Napraviti iOS aplikaciju](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hr|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Napraviti Android aplikaciju](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "hr|Audiobookshelf integration": "Integracija s Audiobookshelf", + "hr|Extra Options": "Dodatne opcije", + "hr|Ebook Translation option": "Opcija prijevoda e-knjige", + "hr|Output format choices": "Izbori izlaznog formata", + "hr|Batch ebook folder": "Skupna mapa e-knjiga", + "hr|Multiprocessing conversion": "Pretvaranje s višeprocesnom obradom", + "hr|Batch ebook folder conversion": "Skupno pretvaranje mape e-knjiga", + "hr|GPU Device detection": "Otkrivanje GPU uređaja", + "hr|Denoise any reference audio for upload voice cloning,": "Uklanjanje šuma iz bilo kojeg referentnog zvuka za učitano kloniranje glasa,", + "hr|Custom model upload (XTTSv2 only for now. more on request)": "Učitavanje prilagođenog modela (zasad samo XTTSv2. više na zahtjev)", + "hr|Add European Portuguese language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Dodati jezični model europskog portugalskog barem za xttsv2, fairseq, vits, piper (pomoć dobrodošla)", + "hr|Add Sindhi language model for xttsv2, fairseq, vits, piper at least (help welcome)": "Dodati jezični model sindhi barem za xttsv2, fairseq, vits, piper (pomoć dobrodošla)", + "hr|Readme Translation": "Prijevod datoteke Readme", + "hr|🐍 OS Compatibility": "🐍 Kompatibilnost operacijskih sustava", + "hr|Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command) ": "Dodatni overkill za treniranje modela i slično (svi podržani Coqui-tts modeli i piper-tts u jednoj jednostavnoj naredbi) ", + "hr|For info about this @DrewThomasson, he is currently working on the development of this, [work-in-progress-repo here](https://github.com/DrewThomasson/Universal_TTS_Finetune)": "Za informacije o tome: @DrewThomasson trenutno radi na razvoju ovoga, [repozitorij u izradi ovdje](https://github.com/DrewThomasson/Universal_TTS_Finetune)", + "hr|Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes [here from coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)": "Napraviti jednostavan GUI za treniranje svih coqui-tts modela u receptima za treniranje u ljspeech formatu [ovdje od coqui tts](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech)", + "hr|Python Code normalization information for contributors": "Informacije o normalizaciji Python koda za suradnike", + "hr|no blank line between code, unless between functions and classes.": "nema praznog retka između koda, osim između funkcija i klasa.", + "hr|single quote used for all key unless for dict() and json. dict['key'] always called with single quote": "jednostruki navodnik korišten za sve ključeve osim za dict() i json. dict['key'] uvijek pozvan s jednostrukim navodnikom", + "hr|4 spaces indentation, not tab at all": "uvlaka od 4 razmaka, nikakvi tabulatori", + "hr|strict typing for all functions and its arguments declaration and return values": "strogo tipiziranje za sve funkcije i deklaraciju njihovih argumenata i povratnih vrijednosti", + "hr|no space between the argument and its typing, no space between the function, the \"->\" and the return value": "nema razmaka između argumenta i njegovog tipiziranja, nema razmaka između funkcije, „->“ i povratne vrijednosti", + "hr|Example:": "Primjer:", + "hr|Hardware donation for beta tests wanted": "Tražimo donaciju hardvera za beta testiranje", + "hr|We accept any kind of hardware to test our development like:": "Prihvaćamo bilo koju vrstu hardvera za testiranje našeg razvoja, kao što su:", + "hr|@DrewThomasson if you want to help out at all! 😃": "@DrewThomasson ako želite pomoći na bilo koji način! 😃", + "hr|Do you need to rent a GPU to boost service from us?": "Trebate li unajmiti GPU za pojačanje naše usluge?", + "hr|A poll is open here https://github.com/DrewThomasson/ebook2audiobook/discussions/889": "Anketa je otvorena ovdje https://github.com/DrewThomasson/ebook2audiobook/discussions/889", + "hr|Special Thanks": "Posebna zahvala", + "hr|[@shakenbake15 for better chapter saving method](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ": "[@shakenbake15 za bolju metodu spremanja poglavlja](https://github.com/DrewThomasson/ebook2audiobook/issues/8) ", + "hr|TTS engines": "TTS motori", + "hr|XTTSv2": "XTTSv2", + "hr|Bark": "Lavež", + "hr|Fairseq": "Fairseq", + "hr|VITS": "VITS", + "hr|Tacotron2": "Tacotron2", + "hr|YourTTS": "YourTTS", + "hr|Tortoise": "Kornjača", + "hr|GlowTTS": "GlowTTS", + "hr|Piper": "Piper", + "hr|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "hr|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "OpenVoice (https://github.com/myshell-ai/OpenVoice)", + "hr|fish-speech (https://github.com/fishaudio/fish-speech)": "riblji govor (https://github.com/fishaudio/fish-speech)", + "hr|ChatTTS (https://github.com/2noise/ChatTTS)": "ChatTTS (https://github.com/2noise/ChatTTS)", + "hr|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "CosyVoice (https://github.com/FunAudioLLM/CosyVoice)", + "hr|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "hr|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "hr|Supertonic (https://github.com/supertone-inc/supertonic)": "Supertonic (https://github.com/supertone-inc/supertonic)", + "hr|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "Spark-TTS (https://github.com/sparkaudio/spark-tts)", + "hr|index-tts (https://github.com/index-tts/index-tts)": "index-tts (https://github.com/index-tts/index-tts)", + "hr|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "hr|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "hr|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "OmniVoice (https://github.com/k2-fsa/OmniVoice)", + "hr|Zonos (https://github.com/Zyphra/Zonos)": "Zonos (https://github.com/Zyphra/Zonos)", + "hr|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "Stil-TTS2 (https://github.com/yl4579/StyleTTS2)", + "hr|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "Orfej-TTS (https://github.com/canopyai/Orpheus-TTS)", + "hr|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "hr|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "hr|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)", + "ar|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "zh-CN|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "es|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "fr|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "de|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "it|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "pt|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "pl|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "tr|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "ru|📚 ebook2audiobook (E2A)": "📚 ebook2audiobook (E2A)", + "ru|[!IMPORTANT]": "Важно", + "ru|README.md": "README.md", + "ru|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "ru|[Docker](#docker)": "[Docker](#docker)", + "ru|CPU, XPU (intel, AMD, ARM)*.": "CPU, XPU (intel, AMD, ARM)*.", + "ru|CUDA, ROCm, JETSON": "CUDA, ROCm, JETSON", + "ru|| **Arabic (ar)** | **Chinese (zh)** | **English (en)** | **Spanish (es)** |": "| **Арабский (ar)** | **Китайский (zh)** | **Английский (en)** | **Испанский (ые)** |", + "ru|| **French (fr)** | **German (de)** | **Italian (it)** | **Portuguese (pt)** |": "| **Французский (fr)** | **Немецкий (de)** | **Итальянский (it)** | **Португальский (pt)** |", + "ru|| **Polish (pl)** | **Turkish (tr)** | **Russian (ru)** | **Dutch (nl)** |": "| **Польский (pl)** | **Турецкий (tr)** | **Русский (ru)** | **Голландский (nl)** |", + "ru|| **Czech (cs)** | **Japanese (ja)** | **Hindi (hi)** | **Bengali (bn)** |": "| **Чешский (cs)** | **Японский (ja)** | **Хинди (hi)** | **Бенгальский (bn)** |", + "ru|| **Hungarian (hu)** | **Korean (ko)** | **Vietnamese (vi)**| **Swedish (sv)** |": "| **Венгерский (hu)** | **Корейский (ko)** | **Вьетнамский (vi)**| **Шведский (sv)** |", + "ru|| **Persian (fa)** | **Yoruba (yo)** | **Swahili (sw)** | **Indonesian (id)**|": "| **Персидский (fa)** | **Йоруба (yo)** | **Суахили (sw)** | **Индонезийский (id)**|", + "ru|| **Slovak (sk)** | **Croatian (hr)** | **Tamil (ta)** | **Danish (da)** |": "| **Словацкий (sk)** | **Хорватский (hr)** | **Тамильский (ta)** | **Датский (da)** |", + "ru|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Проверьте наш другой репозиторий, предназначенный для автоматического добавления SML в вашу электронную книгу -> [E2A-SML](./components/E2A-SML)**", + "ru|>[!NOTE]": "Примечание", + "ru|`./ebook2audiobook.command --share` (Linux/MacOS)": "`./ebook2audiobook.command --share` (Linux/MacOS)", + "ru|`ebook2audiobook.cmd --share` (Windows)": "`ebook2audiobook.cmd --share` (Windows)", + "ru|`python app.py --share` (all OS)": "`python app.py --share` (все ОС)", + "ru|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "ru|[Discussion about this](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846)": "[Обсуждение этого](https://github.com/DrewThomasson/ebook2audiobook/discussions/19#discussioncomment-10879846)", + "ru|Arabic (ara)": "Арабский (ara)", + "ru|Chinese (zho)": "Китайский (zho)", + "ru|English (eng)": "Английский (ENG)", + "ru|Spanish (spa)": "Испанский (спа)", + "ru|French (fra)": "Французский (фра)", + "ru|German (deu)": "Немецкий (DEU)", + "ru|Italian (ita)": "Итальянский (ита)", + "ru|Portuguese (por)": "Португальский (por)", + "ru|Polish (pol)": "Польский (pol)", + "ru|Turkish (tur)": "Турецкий (tur)", + "ru|Russian (rus)": "Russian (rus)", + "ru|Dutch (nld)": "Голландский (nld)", + "ru|Czech (ces)": "Чешский (ces)", + "ru|Japanese (jpn)": "Японский (jpn)", + "ru|Hindi (hin)": "Хинди", + "ru|Bengali (ben)": "Бенгальский (ben)", + "ru|Hungarian (hun)": "Hungarian (HUN)", + "ru|Korean (kor)": "Корейский (кор)", + "ru|Vietnamese (vie)": "Вьетнамский (VIE)", + "ru|Swedish (swe)": "Шведский (Swe)", + "ru|Persian (fas)": "Персидский (фас)", + "ru|Yoruba (yor)": "Йоруба (йор)", + "ru|Swahili (swa)": "Суахили (сва)", + "ru|Indonesian (ind)": "Индонезийский (инд.)", + "ru|Slovak (slk)": "Словацкий (slk)", + "ru|Croatian (hrv) ": "Хорватский (грн)", + "ru|🍎 Mac Intel x86": "🍎 Mac Intel x86", + "ru|🪟 Windows x86": "🪟 Windows x86", + "ru|🐧 Linux x86": "Linux (rpm-based) x86", + "ru|🖥️🍏 Apple Silicon Mac": "🖥️🍏 Apple Silicon Mac", + "ru|🪟💪 ARM Windows": "Окна 🪟💪 РЫЧАГА", + "ru|🐧💪 ARM Linux": "🐧💪 ARM LINUX", + "ru|Nvidia supporting cuda >= 11.8": "Nvidia поддерживает cuda >= 11,8", + "ru|XPU intel cards": "Карты XPU Intel", + "ru|ROCm AMD cards supporting ROCm >=5.7": "Карты ROCm AMD, поддерживающие ROCm >=5,7", + "ru|**Coqui TTS**: [Coqui TTS GitHub](https://github.com/idiap/coqui-ai-TTS)": "**Coqui TTS**: [Coqui TTS GitHub](https://github.com/idiap/coqui-ai-TTS)", + "ru|**Calibre**: [Calibre Website](https://calibre-ebook.com)": "**Calibre**: [Calibre Website](https://calibre-ebook.com)", + "ru|**FFmpeg**: [FFmpeg Website](https://ffmpeg.org)": "**FFmpeg**: [FFmpeg Website](https://ffmpeg.org)", + "nl|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "cs|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "ja|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "hi|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "bn|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "hu|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "ko|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "vi|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "sv|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "fa|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "yo|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "sw|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "id|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "sk|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "hr|[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)": "[Universal_TTS_Finetune](./components/Universal_TTS_Finetune) [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Spaces-yellow?style=flat&logo=huggingface)](https://huggingface.co/spaces/drewThomasson/xtts-finetune-webui-gpu) [![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=flat&logo=kaggle&logoColor=white)](https://github.com/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/kaggle-xtts-finetune-webui-gradio-gui.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DrewThomasson/ebook2audiobook/blob/v25/Notebooks/finetune/xtts/colab_xtts_finetune_webui.ipynb)", + "ar|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "ar|[Docker](#docker)": "[Docker](#docker)", + "ar|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "ar|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**اطّلع على مستودعنا الآخر المخصص لإضافة SML تلقائيًا في كتابك الإلكتروني -> [E2A-SML](./components/E2A-SML)**", + "ar|Cloned Voices": "أصوات مستنسخة", + "ar|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "يمكنك تحميل أي صوت بأي من تنسيقات الصوت المدعومة، والمدة المثالية حوالي 1 إلى 5 دقائق.", + "ar|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "لا يهم ما إذا كان التسجيل يحتوي على خلفية صاخبة أو موسيقى تعزف عليه — ستقوم E2A بتنظيف الصوت نيابة عنك.", + "ar|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "قائمة الأصوات المستنسخة المدمجة باللغة الإنجليزية بشكل أساسي. إذا كنت بحاجة إلى أصوات بلغات أخرى لتكون رسمية", + "ar|added to the list, please contact us and we'll add them after review.": "تمت إضافته إلى القائمة، يرجى الاتصال بنا وسنضيفه بعد المراجعة.", + "zh-CN|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "zh-CN|[Docker](#docker)": "[Docker](#docker)", + "zh-CN|[Cloned Voices](#cloned-voices)": "[克隆声音](#cloned-voices)", + "zh-CN|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**请查看我们另一个专门用于在电子书中自动添加 SML 的仓库 -> [E2A-SML](./components/E2A-SML)**", + "zh-CN|Cloned Voices": "克隆的声音", + "zh-CN|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "您可以上传任何支持的音频格式的任何语音音频,理想的持续时间约为1至5分钟。", + "zh-CN|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "无论录音的背景是嘈杂的还是播放的音乐, E2A都会为您清理声音。", + "zh-CN|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "内置克隆语音列表主要为英文。如果您需要其他语言的声音才能正式", + "zh-CN|added to the list, please contact us and we'll add them after review.": "添加到列表中,请联系我们,我们将在审核后添加它们。", + "es|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "es|[Demos](#demos)": "[Demos](#demos)", + "es|[Docker](#docker)": "[Docker](#docker)", + "es|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "es|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Consulta nuestro otro repositorio dedicado a añadir SML automáticamente en tu libro electrónico -> [E2A-SML](./components/E2A-SML)**", + "es|Cloned Voices": "Voces clonadas", + "es|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Puedes subir cualquier audio de voz en cualquiera de los formatos de audio admitidos, la duración ideal es de alrededor de 1 a 5 minutos.", + "es|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "No importa si la grabación tiene un fondo ruidoso o si se reproduce música sobre ella: E2A limpiará la voz por ti.", + "es|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "La lista de voces clonadas incorporada está principalmente en inglés. Si necesitas voces en otros idiomas para ser oficialmente", + "es|added to the list, please contact us and we'll add them after review.": "añadidos a la lista, ponte en contacto con nosotros y los añadiremos después de revisarlos.", + "fr|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "fr|[Docker](#docker)": "[Docker](#docker)", + "fr|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "fr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Consultez notre autre dépôt dédié à l'ajout automatique de SML dans votre e-book -> [E2A-SML](./components/E2A-SML)**", + "fr|Cloned Voices": "Voix clonées", + "fr|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Vous pouvez télécharger n'importe quel audio vocal dans n'importe lequel des formats audio pris en charge, la durée idéale est d'environ 1 à 5 min.", + "fr|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Peu importe si l'enregistrement a un fond bruyant ou de la musique qui y joue — E2A nettoiera la voix pour vous.", + "fr|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "La liste des voix clonées intégrée est principalement en anglais. Si vous avez besoin de voix dans d'autres langues pour être officiellement", + "fr|added to the list, please contact us and we'll add them after review.": "ajouté à la liste, veuillez nous contacter et nous les ajouterons après vérification.", + "de|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "de|[Demos](#demos)": "[Demos](#demos)", + "de|[Docker](#docker)": "[Docker](#docker)", + "de|[Cloned Voices](#cloned-voices)": "[Geklonte Stimmen](#cloned-voices)", + "de|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Sehen Sie sich unser anderes Repo an, das dem automatischen Hinzufügen von SML in Ihrem E-Book gewidmet ist -> [E2A-SML](./components/E2A-SML)**", + "de|Cloned Voices": "Geklonte Stimmen", + "de|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Sie können jedes Sprachaudio in jedem der unterstützten Audioformate hochladen. Die ideale Dauer beträgt etwa 1 bis 5 Minuten.", + "de|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Es spielt keine Rolle, ob die Aufnahme einen lauten Hintergrund hat oder Musik darüber abgespielt wird — E2A wird die Stimme für Sie aufräumen.", + "de|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Die eingebaute Liste der geklonten Stimmen ist hauptsächlich auf Englisch. Wenn Sie Stimmen in anderen Sprachen benötigen, um offiziell", + "de|added to the list, please contact us and we'll add them after review.": "der Liste hinzugefügt, kontaktieren Sie uns bitte und wir werden sie nach der Überprüfung hinzufügen.", + "it|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "it|[Docker](#docker)": "[Docker](#docker)", + "it|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "it|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Dai un'occhiata al nostro altro repo dedicato all'aggiunta automatica di SML nel tuo e-book -> [E2A-SML](./components/E2A-SML)**", + "it|Cloned Voices": "Voci clonate", + "it|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "È possibile caricare qualsiasi audio vocale in uno qualsiasi dei formati audio supportati, la durata ideale è di circa 1-5 minuti.", + "it|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Non importa se la registrazione ha uno sfondo rumoroso o se la musica viene riprodotta su di essa: E2A ripulirà la voce per te.", + "it|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "L'elenco delle voci clonate integrate è principalmente in inglese. Se hai bisogno che le voci in altre lingue siano ufficialmente", + "it|added to the list, please contact us and we'll add them after review.": "aggiunto all'elenco, ti preghiamo di contattarci e li aggiungeremo dopo averlo esaminato.", + "pt|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "pt|[Demos](#demos)": "[Demos](#demos)", + "pt|[Docker](#docker)": "[Docker](#docker)", + "pt|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "pt|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Veja o nosso outro repositório dedicado a adicionar SML automaticamente no seu e-book -> [E2A-SML](./components/E2A-SML)**", + "pt|Cloned Voices": "Vozes Clonadas", + "pt|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Você pode carregar qualquer áudio de voz em qualquer um dos formatos de áudio suportados, a duração ideal é de cerca de 1 a 5 minutos.", + "pt|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Não importa se a gravação tem um fundo barulhento ou música tocando sobre ela — a E2A limpará a voz para você.", + "pt|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "A lista de vozes clonadas incorporada é principalmente em inglês. Se precisar que vozes em outros idiomas sejam oficialmente", + "pt|added to the list, please contact us and we'll add them after review.": "adicionado à lista, entre em contacto connosco e iremos adicioná-los após análise.", + "pl|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "pl|[Docker](#docker)": "[Docker](#docker)", + "pl|[Cloned Voices](#cloned-voices)": "[Sklonowane głosy](#cloned-voices)", + "pl|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Sprawdź nasze inne repozytorium poświęcone automatycznemu dodawaniu SML w Twoim e-booku -> [E2A-SML](./components/E2A-SML)**", + "pl|Cloned Voices": "Sklonowane głosy", + "pl|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Możesz przesłać dowolny dźwięk głosowy w dowolnym obsługiwanym formacie audio, idealny czas trwania to około 1 do 5 min.", + "pl|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Nie ma znaczenia, czy nagranie ma głośne tło, czy odtwarzana jest nad nim muzyka — E2A wyczyści głos za Ciebie.", + "pl|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Wbudowana lista sklonowanych głosów jest głównie w języku angielskim. Jeśli chcesz, aby głosy w innych językach były oficjalnie", + "pl|added to the list, please contact us and we'll add them after review.": "dodane do listy, skontaktuj się z nami, a my dodamy je po sprawdzeniu.", + "tr|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "tr|[Docker](#docker)": "[Docker](#docker)", + "tr|[Cloned Voices](#cloned-voices)": "[Klonlanmış Sesler](#cloned-voices)", + "tr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**E-kitabınıza otomatik olarak SML eklemeye adanmış diğer deposumuza göz atın -> [E2A-SML](./components/E2A-SML)**", + "tr|Cloned Voices": "Klonlanmış Sesler", + "tr|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Desteklenen ses formatlarından herhangi birinde herhangi bir ses dosyasını yükleyebilirsiniz, ideal süre yaklaşık 1 ila 5 dakikadır.", + "tr|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Kaydın gürültülü bir arka plana sahip olması veya üzerinde müzik çalması önemli değildir — E2A sesi sizin için temizleyecektir.", + "tr|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Yerleşik klonlanmış sesler listesi esas olarak İngilizcedir. Resmi olarak başka dillerde seslere ihtiyacınız varsa", + "tr|added to the list, please contact us and we'll add them after review.": "listeye eklendi, lütfen bizimle iletişime geçin. İncelemeden sonra bunları ekleyeceğiz.", + "ru|[Cloned Voices](#cloned-voices)": "[Клонированные голоса](#cloned-voices)", + "ru|Cloned Voices": "Клонированные голоса", + "ru|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Вы можете загрузить любой голосовой звук в любом из поддерживаемых аудиоформатов, идеальная продолжительность составляет от 1 до 5 мин.", + "ru|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Неважно, имеет ли запись шумный фон или над ней играет музыка — E2A очистит голос для вас.", + "ru|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Встроенный список клонированных голосов в основном на английском языке. Если вам нужны голоса на других языках, чтобы быть официально", + "ru|added to the list, please contact us and we'll add them after review.": "добавлены в список, свяжитесь с нами, и мы добавим их после проверки.", + "nl|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "nl|[Docker](#docker)": "[Docker](#docker)", + "nl|[Cloned Voices](#cloned-voices)": "[Gekloonde stemmen](#cloned-voices)", + "nl|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Bekijk onze andere repo die gewijd is aan het automatisch toevoegen van SML in je e-book -> [E2A-SML](./components/E2A-SML)**", + "nl|Cloned Voices": "Gekloonde stemmen", + "nl|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "U kunt spraakaudio uploaden in elk van de ondersteunde audioformaten, de ideale duur is ongeveer 1 tot 5 mn.", + "nl|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Het maakt niet uit of de opname een lawaaierige achtergrond heeft of dat er muziek overheen wordt afgespeeld — E2A zal de stem voor u opruimen.", + "nl|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "De ingebouwde lijst met gekloonde stemmen is voornamelijk in het Engels. Als u wilt dat stemmen in andere talen officieel worden", + "nl|added to the list, please contact us and we'll add them after review.": "toegevoegd aan de lijst, neem dan contact met ons op en we zullen ze na beoordeling toevoegen.", + "cs|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "cs|[Docker](#docker)": "[Dokovací stanice](#docker)", + "cs|[Cloned Voices](#cloned-voices)": "[Klonované hlasy](#cloned-voices)", + "cs|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Podívejte se na náš další repozitář věnovaný automatickému přidávání SML do vaší e-knihy -> [E2A-SML](./components/E2A-SML)**", + "cs|Cloned Voices": "Klonované hlasy", + "cs|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Můžete nahrát libovolný hlasový zvuk v kterémkoli z podporovaných zvukových formátů, ideální doba trvání je přibližně 1 až 5 milionů.", + "cs|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Nezáleží na tom, jestli má nahrávka hlučné pozadí nebo přehrává hudbu — E2A vám hlas vyčistí.", + "cs|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Vestavěný seznam klonovaných hlasů je převážně v angličtině. Pokud potřebujete, aby hlasy v jiných jazycích byly oficiálně", + "cs|added to the list, please contact us and we'll add them after review.": "přidáno do seznamu, kontaktujte nás a po kontrole je přidáme.", + "ja|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "ja|[Docker](#docker)": "[Docker](#docker)", + "ja|[Cloned Voices](#cloned-voices)": "[クローン音声](#cloned-voices)", + "ja|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**電子書籍にSMLを自動的に追加することに特化した別のリポジトリをご覧ください -> [E2A-SML](./components/E2A-SML)**", + "ja|Cloned Voices": "クローン音声", + "ja|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "サポートされているオーディオフォーマットのいずれかで任意のボイスオーディオをアップロードできます。理想的な長さは約1〜5分です。", + "ja|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "録音にノイズの多い背景や音楽が再生されているかどうかは関係ありません。E 2 Aが音声をクリーンアップします。", + "ja|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "内蔵されているクローン音声リストは、主に英語です。他の言語での音声が正式に必要な場合", + "ja|added to the list, please contact us and we'll add them after review.": "リストに追加されました。お問い合わせください。審査後に追加させていただきます。", + "hi|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "hi|[Docker](#docker)": "[डॉकर](#docker)", + "hi|[Cloned Voices](#cloned-voices)": "[क्लोन की गई आवाज़ें](#cloned-voices)", + "hi|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**आपकी ई-बुक में स्वचालित रूप से SML जोड़ने के लिए समर्पित हमारे दूसरे रेपो को देखें -> [E2A-SML](./components/E2A-SML)**", + "hi|Cloned Voices": "क्लोन की गई आवाज़ें", + "hi|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "आप किसी भी समर्थित ऑडियो प्रारूप में कोई भी ध्वनि ऑडियो अपलोड कर सकते हैं, आदर्श अवधि लगभग 1 से 5 मिलियन है।", + "hi|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "इससे कोई फर्क नहीं पड़ता कि रिकॉर्डिंग में शोरगुल वाला बैकग्राउंड है या संगीत बज रहा है — E2A आपकी आवाज़ को साफ़ कर देगा।", + "hi|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "अंतर्निहित क्लोन की गई आवाज़ों की सूची मुख्य रूप से अंग्रेजी में है। अगर आपको आधिकारिक रूप से अन्य भाषाओं में आवाज़ें चाहिए", + "hi|added to the list, please contact us and we'll add them after review.": "सूची में जोड़ा गया, कृपया हमसे संपर्क करें और हम समीक्षा के बाद उन्हें जोड़ देंगे।", + "bn|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "bn|[Docker](#docker)": "[ডকার](#docker)", + "bn|[Cloned Voices](#cloned-voices)": "[ক্লোনড ভয়েসেস](#cloned-voices)", + "bn|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**আপনার ই-বুকে স্বয়ংক্রিয়ভাবে SML যোগ করার জন্য নিবেদিত আমাদের অন্য রেপোটি দেখুন -> [E2A-SML](./components/E2A-SML)**", + "bn|Cloned Voices": "ক্লোনড ভয়েসেস", + "bn|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "আপনি সমর্থিত যে কোনও অডিও ফর্ম্যাটে যে কোনও ভয়েস অডিও আপলোড করতে পারেন, আদর্শ সময়কাল প্রায় 1 থেকে 5 মিলিয়ন ।", + "bn|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "রেকর্ডিংয়ে শোরগোলের পটভূমি বা মিউজিক বাজছে কিনা তা বিবেচ্য নয় — E2A আপনার জন্য ভয়েস পরিষ্কার করবে ।", + "bn|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "বিল্ট-ইন ক্লোনড ভয়েস লিস্ট মূলত ইংরেজিতে । আপনার যদি অন্য ভাষায় কণ্ঠের প্রয়োজন হয় তবে আনুষ্ঠানিকভাবে", + "bn|added to the list, please contact us and we'll add them after review.": "তালিকায় যোগ করা হয়েছে, অনুগ্রহ করে আমাদের সাথে যোগাযোগ করুন এবং পর্যালোচনার পরে আমরা সেগুলি যোগ করব ।", + "hu|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "hu|[Docker](#docker)": "[Docker](#docker)", + "hu|[Cloned Voices](#cloned-voices)": "[Klónozott hangok](#cloned-voices)", + "hu|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Nézd meg másik repónkat, amely az SML automatikus hozzáadásának szentelt az e-könyvedhez -> [E2A-SML](./components/E2A-SML)**", + "hu|Cloned Voices": "Klónozott hangok", + "hu|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Bármilyen hangfelvételt feltölthet bármelyik támogatott hangformátumban, az ideális időtartam 1-5 mn.", + "hu|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Nem számít, hogy a felvétel zajos háttérrel vagy zenével rendelkezik — az E2A megtisztítja a hangot az Ön számára.", + "hu|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "A beépített klónozott hangok listája főként angol nyelven érhető el. Ha más nyelvű hangokra van szüksége ahhoz, hogy hivatalosan", + "hu|added to the list, please contact us and we'll add them after review.": "hozzáadva a listához. Vedd fel velünk a kapcsolatot, és az ellenőrzés után hozzáadjuk őket.", + "ko|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "ko|[Docker](#docker)": "[Docker](#docker)", + "ko|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "ko|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**전자책에 SML을 자동으로 추가하는 데 전념하는 다른 저장소를 확인하세요 -> [E2A-SML](./components/E2A-SML)**", + "ko|Cloned Voices": "복제된 음성", + "ko|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "지원되는 오디오 형식으로 모든 음성 오디오를 업로드할 수 있으며, 이상적인 지속 시간은 약 1 ~ 5분입니다.", + "ko|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "녹음에 시끄러운 배경이 있거나 음악이 재생되는지 여부는 중요하지 않습니다. E2A가 음성을 정리합니다.", + "ko|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "내장된 복제된 음성 목록은 주로 영어로 되어 있습니다. 공식적으로 사용하려면 다른 언어로 된 목소리가 필요한 경우", + "ko|added to the list, please contact us and we'll add them after review.": "목록에 추가되었습니다. 문의해 주시면 검토 후 추가해 드리겠습니다.", + "vi|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "vi|[Docker](#docker)": "[Docker](#docker)", + "vi|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "vi|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Hãy xem repo khác của chúng tôi dành riêng cho việc thêm SML tự động vào sách điện tử của bạn -> [E2A-SML](./components/E2A-SML)**", + "vi|Cloned Voices": "Giọng nói được nhân bản", + "vi|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Bạn có thể tải lên bất kỳ âm thanh giọng nói nào ở bất kỳ định dạng âm thanh nào được hỗ trợ, thời lượng lý tưởng là khoảng 1 đến 5 phút.", + "vi|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Không có vấn đề gì nếu bản ghi âm có nền ồn ào hoặc phát nhạc trên đó — E2A sẽ làm sạch giọng nói cho bạn.", + "vi|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Danh sách giọng nói nhân bản tích hợp chủ yếu bằng tiếng Anh. Nếu bạn cần giọng nói bằng các ngôn ngữ khác để được chính thức", + "vi|added to the list, please contact us and we'll add them after review.": "đã thêm vào danh sách, vui lòng liên hệ với chúng tôi và chúng tôi sẽ thêm chúng sau khi đánh giá.", + "sv|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "sv|[Demos](#demos)": "[Demos](#demos)", + "sv|[Docker](#docker)": "[Docker](#docker)", + "sv|[Cloned Voices](#cloned-voices)": "[Klonade röster](#cloned-voices)", + "sv|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Kolla in vårt andra repo som är dedikerat till att lägga till SML automatiskt i din e-bok -> [E2A-SML](./components/E2A-SML)**", + "sv|Cloned Voices": "Klonade röster", + "sv|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Du kan ladda upp valfritt röstljud i något av de ljudformat som stöds, den ideala varaktigheten är cirka 1 till 5 minuter.", + "sv|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Det spelar ingen roll om inspelningen har en bullrig bakgrund eller musik som spelas över den — E2A kommer att städa upp rösten åt dig.", + "sv|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Den inbyggda klonade röstlistan är huvudsakligen på engelska. Om du behöver röster på andra språk för att vara officiellt", + "sv|added to the list, please contact us and we'll add them after review.": "tillagd i listan, vänligen kontakta oss så lägger vi till dem efter granskning.", + "fa|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "fa|[Docker](#docker)": "[Docker](#docker)", + "fa|[Cloned Voices](#cloned-voices)": "[صداهای کلون شده](#cloned-voices)]", + "fa|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**مخزن دیگر ما را که به افزودن خودکار SML در کتاب الکترونیکی شما اختصاص دارد، بررسی کنید -> [E2A-SML](./components/E2A-SML)**", + "fa|Cloned Voices": "صداهای کلون‌شده", + "fa|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "شما می‌توانید هر فایل صوتی را با هر یک از فرمت‌های صوتی پشتیبانی‌شده آپلود کنید، مدت زمان ایده‌آل حدود ۱ تا ۵ دقیقه است.", + "fa|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "فرقی نمی‌کند که صدای ضبط شده نویز پس‌زمینه داشته باشد یا موسیقی در حال پخش باشد - E2A صدا را برای شما واضح‌تر می‌کند.", + "fa|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "لیست صداهای کلون شده داخلی عمدتاً به زبان انگلیسی است. اگر به صداهایی به زبان‌های دیگر نیاز دارید تا رسماً ...", + "fa|added to the list, please contact us and we'll add them after review.": "به لیست اضافه شد، لطفا با ما تماس بگیرید تا پس از بررسی، آنها را اضافه کنیم.", + "yo|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "yo|[Docker](#docker)": "[Docker](#docker)", + "yo|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "yo|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Wo repo wa míràn tí a yà sọ́tọ̀ fún àfikún SML lọ́nà aládàáṣiṣẹ́ nínú eBook rẹ -> [E2A-SML](./components/E2A-SML)**", + "yo|Cloned Voices": "Àwọn Oríṣun àwòrán, Cloned Voices", + "yo|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "O lè gbé ohùn ohùn èyíkéyìí sókè nínú èyíkéyìí nínú àwọn fọ́mù ohùn tí a ṣe àtìlẹyìn, iye tí ó dára ni nǹkan bí 1 sí 5 mn.", + "yo|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Kò ṣe pàtàkì bí àkọsílẹ̀ náà bá ní ìpìlẹ̀ ariwo tàbí orin tí ó ń ṣeré lórí rẹ̀ — E2A yóò fọ ohùn náà fún ọ.", + "yo|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Èdè Gẹ̀ẹ́sì ni àtòjọ àwọn ohùn tí wọ́n kọ́ sínú rẹ̀. Tí o bá nílò ohùn ní èdè mìíràn kí ó lè jẹ́ ti ìjọba.", + "yo|added to the list, please contact us and we'll add them after review.": "àfikún sí àtòjọ náà, jọ̀wọ́ kàn sí wa a ó sì fi kún un lẹ́yìn àtúnyẹ̀wò.", + "sw|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "sw|[Docker](#docker)": "[Docker](#docker)", + "sw|[Cloned Voices](#cloned-voices)": "[Sauti Zilizopambwa](#cloned-voices)", + "sw|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Angalia repo yetu nyingine iliyojikita katika kuongeza SML kiotomatiki katika eBook yako -> [E2A-SML](./components/E2A-SML)**", + "sw|Cloned Voices": "Sauti Zilizopambwa", + "sw|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Unaweza kupakia sauti yoyote ya sauti katika muundo wowote wa sauti unaotumika, muda unaofaa ni karibu 1 hadi 5 mn.", + "sw|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Haijalishi ikiwa rekodi ina mandharinyuma ya kelele au muziki unaocheza juu yake — E2A itakusafishia sauti.", + "sw|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Orodha ya sauti zilizojengwa ndani ni hasa kwa Kiingereza. Ikiwa unahitaji sauti katika lugha zingine kuwa rasmi", + "sw|added to the list, please contact us and we'll add them after review.": "imeongezwa kwenye orodha, tafadhali wasiliana nasi na tutayaweka baada ya kutathminiwa.", + "id|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "id|[Docker](#docker)": "[Docker](#docker)", + "id|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "id|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Lihat repo kami yang lain yang didedikasikan untuk menambahkan SML secara otomatis di eBook Anda -> [E2A-SML](./components/E2A-SML)**", + "id|Cloned Voices": "Suara Kloning", + "id|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Anda dapat mengunggah audio suara apa pun dalam format audio yang didukung, durasi ideal adalah sekitar 1 hingga 5 mn.", + "id|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Tidak masalah jika rekaman memiliki latar belakang berisik atau musik yang diputar di atasnya — E2A akan membersihkan suara untuk Anda.", + "id|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Daftar suara kloning bawaan terutama dalam bahasa Inggris. Jika Anda membutuhkan suara dalam bahasa lain untuk secara resmi", + "id|added to the list, please contact us and we'll add them after review.": "ditambahkan ke daftar, silakan hubungi kami dan kami akan menambahkannya setelah ditinjau.", + "sk|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "sk|[Docker](#docker)": "[Docker](#docker)", + "sk|[Cloned Voices](#cloned-voices)": "[Cloned Voices](#cloned-voices)", + "sk|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Pozrite si náš ďalší repozitár venovaný automatickému pridávaniu SML do vašej e-knihy -> [E2A-SML](./components/E2A-SML)**", + "sk|Cloned Voices": "Klonované hlasy", + "sk|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Môžete nahrať akýkoľvek hlasový zvuk v ktoromkoľvek z podporovaných zvukových formátov, ideálne trvanie je približne 1 až 5 miliónov.", + "sk|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Nezáleží na tom, či má nahrávka hlučné pozadie alebo cez ňu hrá hudba — E2A hlas vyčistí za vás.", + "sk|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Vstavaný zoznam klonovaných hlasov je prevažne v angličtine. Ak potrebujete, aby hlasy v iných jazykoch boli oficiálne", + "sk|added to the list, please contact us and we'll add them after review.": "pridané do zoznamu, kontaktujte nás a po kontrole ich pridáme.", + "hr|[ebook2audiobook](#-ebook2audiobook)": "[ebook2audiobook](#-ebook2audiobook)", + "hr|[Docker](#docker)": "[Docker](#docker)", + "hr|[Cloned Voices](#cloned-voices)": "[Klonirani glasovi](#cloned-voices)", + "hr|**Check our other repo dedicated to add SML automatically in your ebook -> [E2A-SML](./components/E2A-SML)**": "**Pogledajte naš drugi repozitorij posvećen automatskom dodavanju SML-a u vašu e-knjigu -> [E2A-SML](./components/E2A-SML)**", + "hr|Cloned Voices": "Klonirani glasovi", + "hr|You can upload any voice audio in any of the supported audio formats, the ideal duration is around 1 to 5 mn.": "Možete prenijeti bilo koji glasovni zvuk u bilo kojem od podržanih audio formata, idealno trajanje je oko 1 do 5 milijuna.", + "hr|It doesn't matter if the recording has a noisy background or music playing over it — E2A will clean up the voice for you.": "Nije važno ima li snimka bučnu pozadinu ili se nad njom reproducira glazba — E2A će očistiti glas za vas.", + "hr|The built-in cloned voices list is mainly in English. If you need voices in other languages to be officially": "Ugrađeni popis kloniranih glasova uglavnom je na engleskom jeziku. Ako želite da glasovi na drugim jezicima budu službeno", + "hr|added to the list, please contact us and we'll add them after review.": "dodano na popis, obratite nam se i dodat ćemo ih nakon pregleda.", + "ar|Arabic (ara)": "العربية (ARA)", + "ar|Chinese (zho)": "الصينية (zho)", + "ar|Spanish (spa)": "الإسبانية (SPA)", + "ar|French (fra)": "الفرنسية (فرنك فرنسي)", + "ar|German (deu)": "الألمانية (deu)", + "ar|Italian (ita)": "Italian (ita)", + "ar|Portuguese (por)": "Portuguese (POR)", + "ar|Polish (pol)": "Polish (pol)", + "ar|Turkish (tur)": "Turkish (tur)", + "ar|Russian (rus)": "Russian (rus)", + "ar|Dutch (nld)": "الهولندية (nld)", + "ar|Czech (ces)": "التشيكية", + "ar|Japanese (jpn)": "Japanese (jpn)", + "ar|Hindi (hin)": "الهندية (hin)", + "ar|Bengali (ben)": "البنغالية (بن)", + "ar|Hungarian (hun)": "الهنغارية (HUN)", + "ar|Korean (kor)": "Korean (kor)", + "ar|Vietnamese (vie)": "الفيتنامية (VIE)", + "ar|Swedish (swe)": "Swedish (swe)", + "ar|Persian (fas)": "الفارسية (فاس)", + "ar|Yoruba (yor)": "Yoruba (yor)", + "ar|Swahili (swa)": "السواحلية (SWA)", + "ar|Indonesian (ind)": "الإندونيسية (الهند)", + "ar|Slovak (slk)": "السلوفاكية (slk)", + "ar|Croatian (hrv) ": "الكرواتية (hrv)", + "ar|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "إلى جميع المساهمين الماليين والرمزيين، تساعد كل مساهمة واقتراح على تحسين جودة E2A.", + "zh-CN|Arabic (ara)": "阿拉伯语(ara)", + "zh-CN|Chinese (zho)": "Chinese (zho)", + "zh-CN|Spanish (spa)": "Spanish (spa)", + "zh-CN|French (fra)": "French (fra)", + "zh-CN|German (deu)": "德语(deu)", + "zh-CN|Italian (ita)": "Italian (ita)", + "zh-CN|Portuguese (por)": "Portuguese (por)", + "zh-CN|Polish (pol)": "Polish (pol)", + "zh-CN|Turkish (tur)": "土耳其语(TUR)", + "zh-CN|Russian (rus)": "Russian (rus)", + "zh-CN|Dutch (nld)": "Dutch (nld)", + "zh-CN|Czech (ces)": "捷克语( ces )", + "zh-CN|Japanese (jpn)": "Japanese (jpn)", + "zh-CN|Hindi (hin)": "Hindi (hin)", + "zh-CN|Bengali (ben)": "Bengali (ben)", + "zh-CN|Hungarian (hun)": "匈牙利语(HUN)", + "zh-CN|Korean (kor)": "Korean (kor)", + "zh-CN|Vietnamese (vie)": "越南语( VIE )", + "zh-CN|Swedish (swe)": "Swedish (swe)", + "zh-CN|Persian (fas)": "波斯语(fas)", + "zh-CN|Yoruba (yor)": "约鲁巴语( yor )", + "zh-CN|Swahili (swa)": "斯瓦希里语(swa)", + "zh-CN|Indonesian (ind)": "印尼语(印尼)", + "zh-CN|Slovak (slk)": "Slovak (slk)", + "zh-CN|Croatian (hrv) ": "克罗地亚语(hrv)", + "zh-CN|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "对于所有财务和代码贡献者,每项贡献和建议都有助于提高E2A的质量。", + "es|Arabic (ara)": "Árabe (ara)", + "es|Chinese (zho)": "Chino (zho)", + "es|Spanish (spa)": "Español IV (Esp)", + "es|French (fra)": "Francés (fra)", + "es|German (deu)": "Alemán (deu)", + "es|Italian (ita)": "Italiano I (ita)", + "es|Portuguese (por)": "Portugués (por)", + "es|Polish (pol)": "Polaco (pol)", + "es|Turkish (tur)": "Turco (tur)", + "es|Russian (rus)": "Russian (rus)", + "es|Dutch (nld)": "Holandés (nld)", + "es|Czech (ces)": "Czech (ces)", + "es|Japanese (jpn)": "Japonés (jpn)", + "es|Hindi (hin)": "Hindi (hin)", + "es|Bengali (ben)": "Bengalí (ben)", + "es|Hungarian (hun)": "Húngaro (HUN)", + "es|Korean (kor)": "Coreano (kor)", + "es|Vietnamese (vie)": "Vietnamita (vie)", + "es|Swedish (swe)": "Swedish (swe)", + "es|Persian (fas)": "Persa (fas)", + "es|Yoruba (yor)": "Yoruba (yor)", + "es|Swahili (swa)": "Swahili (swa)", + "es|Indonesian (ind)": "Indonesio (ind)", + "es|Slovak (slk)": "Eslovaco (slk)", + "es|Croatian (hrv) ": "Croata (hrv)", + "es|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Para todos los contribuyentes financieros y de código, cada contribución y sugerencia ayuda a mejorar la calidad de E2A.", + "fr|Arabic (ara)": "Arabe (ara)", + "fr|Chinese (zho)": "Chinois (zho)", + "fr|Spanish (spa)": "Espagnol (spa)", + "fr|French (fra)": "Français (FRA)", + "fr|German (deu)": "Allemand (deu)", + "fr|Italian (ita)": "Italien (ita)", + "fr|Portuguese (por)": "Portugais (por)", + "fr|Polish (pol)": "Polonais (POL)", + "fr|Turkish (tur)": "Turc (tur)", + "fr|Russian (rus)": "Russe (rus)", + "fr|Dutch (nld)": "Néerlandais (nld)", + "fr|Czech (ces)": "Tchèque (ces)", + "fr|Japanese (jpn)": "Japonais (JPN)", + "fr|Hindi (hin)": "Hindi (hin)", + "fr|Bengali (ben)": "Bengali (ben)", + "fr|Hungarian (hun)": "Hongrois - HUN", + "fr|Korean (kor)": "Coréen (kor)", + "fr|Vietnamese (vie)": "Vietnamien (vie)", + "fr|Swedish (swe)": "Suédois (swe)", + "fr|Persian (fas)": "Persan (fas)", + "fr|Yoruba (yor)": "Yoruba (yor)", + "fr|Swahili (swa)": "Swahili (swa)", + "fr|Indonesian (ind)": "Indonésien (ind)", + "fr|Slovak (slk)": "Slovaque (slovaque)", + "fr|Croatian (hrv) ": "Croate (hrv)", + "fr|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Pour tous les contributeurs financiers et de code, chaque contribution et suggestion contribue à améliorer la qualité d'E2A.", + "de|Arabic (ara)": "Arabisch (ara)", + "de|Chinese (zho)": "Chinesisch (zho)", + "de|Spanish (spa)": "Spanisch (Spa)", + "de|French (fra)": "Französisch (fra)", + "de|German (deu)": "Deutsch (deu)", + "de|Italian (ita)": "Italienisch (ita)", + "de|Portuguese (por)": "Portugiesisch (por)", + "de|Polish (pol)": "Polnisch (pol)", + "de|Turkish (tur)": "Türkisch (tur)", + "de|Russian (rus)": "Russisch (rus)", + "de|Dutch (nld)": "Niederländisch (nld)", + "de|Czech (ces)": "Tschechisch (ces)", + "de|Japanese (jpn)": "Japanisch (jpn)", + "de|Hindi (hin)": "Hindi (hin)", + "de|Bengali (ben)": "Bengalisch (ben)", + "de|Hungarian (hun)": "Ungarisch (hun)", + "de|Korean (kor)": "Koreanisch (kor)", + "de|Vietnamese (vie)": "Vietnamesisch (Vie)", + "de|Swedish (swe)": "Schwedisch (swe)", + "de|Persian (fas)": "Persisch (fas)", + "de|Yoruba (yor)": "Yoruba (yor)", + "de|Swahili (swa)": "Swahili (swa)", + "de|Indonesian (ind)": "Indonesisch (ind)", + "de|Slovak (slk)": "Slowakisch (slk)", + "de|Croatian (hrv) ": "Kroatisch (hrv)", + "de|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Für alle Finanz- und Code-Mitwirkenden trägt jeder Beitrag und Vorschlag dazu bei, die Qualität von E2A zu verbessern.", + "it|Arabic (ara)": "Arabo (ara)", + "it|Chinese (zho)": "Cinese (zho)", + "it|Spanish (spa)": "Spagnolo (spa)", + "it|French (fra)": "Francese (fra)", + "it|German (deu)": "Tedesco (deu)", + "it|Italian (ita)": "Italiano (ita)", + "it|Portuguese (por)": "Portoghese (POR)", + "it|Polish (pol)": "Polacco (pol)", + "it|Turkish (tur)": "Turco (tur)", + "it|Russian (rus)": "Russo (rus)", + "it|Dutch (nld)": "Olandese (nld)", + "it|Czech (ces)": "Ceco (ces)", + "it|Japanese (jpn)": "Giapponese (jpn)", + "it|Hindi (hin)": "Hindi (hin)", + "it|Bengali (ben)": "Bengalese (ben)", + "it|Hungarian (hun)": "Ungherese (hun)", + "it|Korean (kor)": "Coreano (kor)", + "it|Vietnamese (vie)": "Vietnamita (vie)", + "it|Swedish (swe)": "Svedese (swe)", + "it|Persian (fas)": "Persiano (fas)", + "it|Yoruba (yor)": "Yoruba (yor)", + "it|Swahili (swa)": "Swahili (swa)", + "it|Indonesian (ind)": "Indonesiano (ind)", + "it|Slovak (slk)": "Slovacco (slk)", + "it|Croatian (hrv) ": "Croato (hrv)", + "it|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "A tutti i contributori finanziari e di codice, ogni contributo e suggerimento aiuta a migliorare la qualità di E2A.", + "pt|Arabic (ara)": "Árabe (ara)", + "pt|Chinese (zho)": "Chinês (zho)", + "pt|Spanish (spa)": "Espanhol (spa)", + "pt|French (fra)": "Francês (fra)", + "pt|German (deu)": "Alemão (deu)", + "pt|Italian (ita)": "Italiano (ita)", + "pt|Portuguese (por)": "Português (por)", + "pt|Polish (pol)": "Polaco (pol)", + "pt|Turkish (tur)": "Turco (tur)", + "pt|Russian (rus)": "Russo (rus)", + "pt|Dutch (nld)": "Holandês (nld)", + "pt|Czech (ces)": "Checo (ces)", + "pt|Japanese (jpn)": "Japonês (jpn)", + "pt|Hindi (hin)": "Hindi (hin)", + "pt|Bengali (ben)": "Bengali (ben)", + "pt|Hungarian (hun)": "Húngaro (hun)", + "pt|Korean (kor)": "Coreano (kor)", + "pt|Vietnamese (vie)": "Vietnamita (vie)", + "pt|Swedish (swe)": "Sueco (swe)", + "pt|Persian (fas)": "Persa (fas)", + "pt|Yoruba (yor)": "Iorubá (yor)", + "pt|Swahili (swa)": "Swahili (swa)", + "pt|Indonesian (ind)": "Indonésio (ind)", + "pt|Slovak (slk)": "Eslovaco (slk)", + "pt|Croatian (hrv) ": "Croata (hrv)", + "pt|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Para todos os contribuintes financeiros e de código, cada contribuição e sugestão ajuda a melhorar a qualidade do E2A.", + "pl|Arabic (ara)": "Arabski (ara)", + "pl|Chinese (zho)": "Chiński (zho)", + "pl|Spanish (spa)": "Hiszpański (spa)", + "pl|French (fra)": "Francuski (fra)", + "pl|German (deu)": "Niemiecki (deu)", + "pl|Italian (ita)": "Włoski (ita)", + "pl|Portuguese (por)": "Portugalski (por)", + "pl|Polish (pol)": "Polski (pol)", + "pl|Turkish (tur)": "Turecki (tur)", + "pl|Russian (rus)": "Rosyjski (Rus)", + "pl|Dutch (nld)": "Holenderski (nld)", + "pl|Czech (ces)": "Czeski (ces)", + "pl|Japanese (jpn)": "Japoński (jpn)", + "pl|Hindi (hin)": "Hindi (hin)", + "pl|Bengali (ben)": "Bengalski (ben)", + "pl|Hungarian (hun)": "Węgierski (hun)", + "pl|Korean (kor)": "Koreański (kor)", + "pl|Vietnamese (vie)": "Wietnamski (Vie)", + "pl|Swedish (swe)": "Szwedzki (Swe)", + "pl|Persian (fas)": "Perski (fas)", + "pl|Yoruba (yor)": "Joruba (yor)", + "pl|Swahili (swa)": "Suahili (swa)", + "pl|Indonesian (ind)": "Indonezyjski (ind)", + "pl|Slovak (slk)": "Słowacki (slk)", + "pl|Croatian (hrv) ": "Chorwacki (hrv)", + "pl|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Dla wszystkich współtwórców finansowych i kodowych każdy wkład i sugestia pomaga poprawić jakość E2A.", + "tr|Arabic (ara)": "Arapça (ara)", + "tr|Chinese (zho)": "Çince (zho)", + "tr|Spanish (spa)": "İspanyolca (spa)", + "tr|French (fra)": "Fransızca (fra)", + "tr|German (deu)": "Almanca (deu)", + "tr|Italian (ita)": "İtalyanca (ita)", + "tr|Portuguese (por)": "Portekizce (por)", + "tr|Polish (pol)": "Lehçe (pol)", + "tr|Turkish (tur)": "Türkçe (tur)", + "tr|Russian (rus)": "Rusça (Rusça)", + "tr|Dutch (nld)": "Felemenkçe (Nld)", + "tr|Czech (ces)": "Çekçe (ces)", + "tr|Japanese (jpn)": "Japonca (jpn)", + "tr|Hindi (hin)": "Hintçe (hin)", + "tr|Bengali (ben)": "Bengalce (ben)", + "tr|Hungarian (hun)": "Macarca (Hun)", + "tr|Korean (kor)": "Korece (kor)", + "tr|Vietnamese (vie)": "Vietnamca (VIe)", + "tr|Swedish (swe)": "İsveççe (Swe)", + "tr|Persian (fas)": "Farsça (fas)", + "tr|Yoruba (yor)": "Yoruba (yor)", + "tr|Swahili (swa)": "Svahili dili (swa)", + "tr|Indonesian (ind)": "Endonezce (ind)", + "tr|Slovak (slk)": "Slovakça (slk)", + "tr|Croatian (hrv) ": "Hırvatça (hrv)", + "tr|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Tüm mali ve koda katkıda bulunanlara, her katkı ve öneri E2A'nın kalitesini artırmaya yardımcı olur.", + "ru|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Для всех финансовых и кодовых вкладчиков каждый вклад и предложение помогают улучшить качество E2A.", + "nl|Arabic (ara)": "Arabisch (ara)", + "nl|Chinese (zho)": "Chinees (zho)", + "nl|Spanish (spa)": "Spaans (spa)", + "nl|French (fra)": "Frans (fra)", + "nl|German (deu)": "Duits (deu)", + "nl|Italian (ita)": "Italiaans (ita)", + "nl|Portuguese (por)": "Portugees (por)", + "nl|Polish (pol)": "Pools (pol)", + "nl|Turkish (tur)": "Turks (tur)", + "nl|Russian (rus)": "Russisch (rus)", + "nl|Dutch (nld)": "Nederlands (nld)", + "nl|Czech (ces)": "Tsjechisch (ces)", + "nl|Japanese (jpn)": "Japans (jpn)", + "nl|Hindi (hin)": "Hindi (hin)", + "nl|Bengali (ben)": "Bengaals (ben)", + "nl|Hungarian (hun)": "Hongaars (hun)", + "nl|Korean (kor)": "Koreaans (kor)", + "nl|Vietnamese (vie)": "Vietnamees (Vie)", + "nl|Swedish (swe)": "Zweeds (swe)", + "nl|Persian (fas)": "Perzisch (fas)", + "nl|Yoruba (yor)": "Yoruba (yor)", + "nl|Swahili (swa)": "Swahili (swa)", + "nl|Indonesian (ind)": "Indonesisch (ind)", + "nl|Slovak (slk)": "Slowaaks (slk)", + "nl|Croatian (hrv) ": "Kroatisch (hrv)", + "nl|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Aan alle financiële en code-bijdragers helpt elke bijdrage en suggestie om de kwaliteit van E2A te verbeteren.", + "cs|Arabic (ara)": "Arabština (ara)", + "cs|Chinese (zho)": "Čínština (zho)", + "cs|Spanish (spa)": "Španělština (Spa)", + "cs|French (fra)": "Francouzština (fra)", + "cs|German (deu)": "Němčina (deu)", + "cs|Italian (ita)": "Italština (ita)", + "cs|Portuguese (por)": "Portugalština (por)", + "cs|Polish (pol)": "Polština (pol)", + "cs|Turkish (tur)": "Turečtina (tur)", + "cs|Russian (rus)": "Ruština (rus)", + "cs|Dutch (nld)": "Holandština (nld)", + "cs|Czech (ces)": "Czech (ces)", + "cs|Japanese (jpn)": "Japonština (jpn)", + "cs|Hindi (hin)": "Hindština (hin)", + "cs|Bengali (ben)": "Bengálština (ben)", + "cs|Hungarian (hun)": "Maďarština (Hun)", + "cs|Korean (kor)": "Korejština (kor)", + "cs|Vietnamese (vie)": "Vietnamština (vie)", + "cs|Swedish (swe)": "Švédština (swe)", + "cs|Persian (fas)": "Perština (fas)", + "cs|Yoruba (yor)": "Yoruba (yor)", + "cs|Swahili (swa)": "Svahilština (swa)", + "cs|Indonesian (ind)": "Indonéština (ind)", + "cs|Slovak (slk)": "Slovenština (slk)", + "cs|Croatian (hrv) ": "Chorvatština (hrv)", + "cs|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Pro všechny finanční a kódové přispěvatele každý příspěvek a návrh pomáhá zlepšit kvalitu E2A.", + "ja|Arabic (ara)": "アラビア語(ara)", + "ja|Chinese (zho)": "中国語(zho)", + "ja|Spanish (spa)": "スペイン語(スパ)", + "ja|French (fra)": "フランス語(fra)", + "ja|German (deu)": "ドイツ語(DEU)", + "ja|Italian (ita)": "イタリア語(ita)", + "ja|Portuguese (por)": "ポルトガル語(ポーランド)", + "ja|Polish (pol)": "ポーランド語(pol)", + "ja|Turkish (tur)": "トルコ語(TUR)", + "ja|Russian (rus)": "ロシア語(rus)", + "ja|Dutch (nld)": "オランダ語(nld)", + "ja|Czech (ces)": "チェコ語(ces)", + "ja|Japanese (jpn)": "日本語(jpn)", + "ja|Hindi (hin)": "ヒンディー語(HIN)", + "ja|Bengali (ben)": "ベンガル語(ベン)", + "ja|Hungarian (hun)": "ハンガリー語(HUN)", + "ja|Korean (kor)": "韓国語(kor)", + "ja|Vietnamese (vie)": "ベトナム語(VIE)", + "ja|Swedish (swe)": "スウェーデン語(スウェーデン)", + "ja|Persian (fas)": "ペルシャ語(fas)", + "ja|Yoruba (yor)": "ヨルバ語(yor)", + "ja|Swahili (swa)": "スワヒリ語(swa)", + "ja|Indonesian (ind)": "インドネシア語(インド)", + "ja|Slovak (slk)": "スロバキア語(SLK)", + "ja|Croatian (hrv) ": "クロアチア語(hrv)", + "ja|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "すべての財務およびコード貢献者にとって、それぞれの貢献と提案はE 2 Aの品質を向上させるのに役立ちます。", + "hi|Arabic (ara)": "अरबी (आरा)", + "hi|Chinese (zho)": "चीनी (zho)", + "hi|Spanish (spa)": "स्पेनिश (SPA)", + "hi|French (fra)": "फ़्रेंच (FRA)", + "hi|German (deu)": "जर्मन (deu)", + "hi|Italian (ita)": "इटैलियन (ITA)", + "hi|Portuguese (por)": "पुर्तगाली (POR)", + "hi|Polish (pol)": "पोलिश (POL)", + "hi|Turkish (tur)": "तुर्की (TUR)", + "hi|Russian (rus)": "रूसी (RUS)", + "hi|Dutch (nld)": "डच (nld)", + "hi|Czech (ces)": "चेक (ces)", + "hi|Japanese (jpn)": "जापानी (jpn)", + "hi|Hindi (hin)": "हिन्दी (hin)", + "hi|Bengali (ben)": "बंगाली (बेन)", + "hi|Hungarian (hun)": "हंगेरियन (HUN)", + "hi|Korean (kor)": "कोरियाई (कोर)", + "hi|Vietnamese (vie)": "वियतनामी (VIE)", + "hi|Swedish (swe)": "स्वीडिश (SWE)", + "hi|Persian (fas)": "फ़ारसी (फास)", + "hi|Yoruba (yor)": "योरुबा (योर)", + "hi|Swahili (swa)": "स्वाहिली (SWA)", + "hi|Indonesian (ind)": "इंडोनेशियाई (ind)", + "hi|Slovak (slk)": "स्लोवाक (SLK)", + "hi|Croatian (hrv) ": "क्रोएशियाई (hrv)", + "hi|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "सभी वित्तीय और कोड योगदानकर्ताओं के लिए, प्रत्येक योगदान और सुझाव E2A की गुणवत्ता में सुधार करने में मदद करता है।", + "bn|Arabic (ara)": "আরবি (ara)", + "bn|Chinese (zho)": "চীনা (zho)", + "bn|Spanish (spa)": "স্প্যানিশ (SPA)", + "bn|French (fra)": "ফ্রেঞ্চ (FRA)", + "bn|German (deu)": "জার্মান (deu)", + "bn|Italian (ita)": "ইতালীয় (ita)", + "bn|Portuguese (por)": "পর্তুগীজ (por)", + "bn|Polish (pol)": "পোলিশ (পোল)", + "bn|Turkish (tur)": "তুর্কি (tur)", + "bn|Russian (rus)": "রাশিয়ান (rus)", + "bn|Dutch (nld)": "ডাচ (এনএলডি)", + "bn|Czech (ces)": "চেক (সিইএস)", + "bn|Japanese (jpn)": "জাপানি (jpn)", + "bn|Hindi (hin)": "হিন্দি (hin)", + "bn|Bengali (ben)": "বাংলা (ben)", + "bn|Hungarian (hun)": "হাঙ্গেরিয়ান (হান)", + "bn|Korean (kor)": "কোরিয়ান (কোর)", + "bn|Vietnamese (vie)": "ভিয়েতনামী (vie)", + "bn|Swedish (swe)": "সুইডিশ (SWE)", + "bn|Persian (fas)": "ফার্সি (FAS)", + "bn|Yoruba (yor)": "Yoruba (yor)", + "bn|Swahili (swa)": "সোয়াহিলি (সোয়া)", + "bn|Indonesian (ind)": "ইন্দোনেশীয় (ind)", + "bn|Slovak (slk)": "স্লোভাক (slk)", + "bn|Croatian (hrv) ": "ক্রোয়েশীয় (hrv)", + "bn|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "সমস্ত আর্থিক এবং কোড অবদানকারীদের জন্য, প্রতিটি অবদান এবং পরামর্শ E2A এর গুণমান উন্নত করতে সহায়তা করে ।", + "hu|Arabic (ara)": "Arab (ara)", + "hu|Chinese (zho)": "Kínai (zho)", + "hu|Spanish (spa)": "Spanyol (Spa)", + "hu|French (fra)": "Francia (fra)", + "hu|German (deu)": "Német (deu)", + "hu|Italian (ita)": "Olasz (ita)", + "hu|Portuguese (por)": "Portugál (por)", + "hu|Polish (pol)": "Lengyel (pol)", + "hu|Turkish (tur)": "Török (tur)", + "hu|Russian (rus)": "Orosz (orosz)", + "hu|Dutch (nld)": "Holland (nld)", + "hu|Czech (ces)": "Czech (ces)", + "hu|Japanese (jpn)": "Japán (jpn)", + "hu|Hindi (hin)": "Hindi (hin)", + "hu|Bengali (ben)": "Bengáli (ben)", + "hu|Hungarian (hun)": "Hungarian (hun)", + "hu|Korean (kor)": "Koreai (kor)", + "hu|Vietnamese (vie)": "Vietnami (vie)", + "hu|Swedish (swe)": "Svéd (swe)", + "hu|Persian (fas)": "Perzsa (fas)", + "hu|Yoruba (yor)": "Yoruba (yor)", + "hu|Swahili (swa)": "Szuahéli (swa)", + "hu|Indonesian (ind)": "Indonéz (ind)", + "hu|Slovak (slk)": "Slovak (slk)", + "hu|Croatian (hrv) ": "Horvát (hrv)", + "hu|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Minden pénzügyi és kód közreműködő számára minden hozzájárulás és javaslat hozzájárul az E2A minőségének javításához.", + "ko|Arabic (ara)": "아랍어 (ara)", + "ko|Chinese (zho)": "중국어 (zho)", + "ko|Spanish (spa)": "스페인어 (스파)", + "ko|French (fra)": "French (fra)", + "ko|German (deu)": "독일어 (deu)", + "ko|Italian (ita)": "이탈리아어 (ita)", + "ko|Portuguese (por)": "포르투갈어 (por)", + "ko|Polish (pol)": "폴란드어 (pol)", + "ko|Turkish (tur)": "터키어 (tur)", + "ko|Russian (rus)": "러시아어 (rus)", + "ko|Dutch (nld)": "네덜란드어 (nld)", + "ko|Czech (ces)": "체코어 (ces)", + "ko|Japanese (jpn)": "일본어 (jpn)", + "ko|Hindi (hin)": "힌디어 (HIN)", + "ko|Bengali (ben)": "벵골어 (ben)", + "ko|Hungarian (hun)": "헝가리어 (훈)", + "ko|Korean (kor)": "한국어 (kor)", + "ko|Vietnamese (vie)": "베트남어 (VIE)", + "ko|Swedish (swe)": "스웨덴어 (swe)", + "ko|Persian (fas)": "페르시아어 (fas)", + "ko|Yoruba (yor)": "요루바어 (yor)", + "ko|Swahili (swa)": "스와힐리어 (swa)", + "ko|Indonesian (ind)": "인도네시아어 (인도)", + "ko|Slovak (slk)": "슬로바키아어 (slk)", + "ko|Croatian (hrv) ": "크로아티아어 (HRV)", + "ko|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "모든 재정 및 코드 기여자에게 각 기여와 제안은 E2A의 품질을 개선하는 데 도움이 됩니다.", + "vi|Arabic (ara)": "Tiếng Ả Rập (ara)", + "vi|Chinese (zho)": "Tiếng Trung (zho)", + "vi|Spanish (spa)": "Tây Ban Nha (spa)", + "vi|French (fra)": "Tiếng Pháp (fra)", + "vi|German (deu)": "Tiếng Đức (deu)", + "vi|Italian (ita)": "Tiếng Ý (ita)", + "vi|Portuguese (por)": "Tiếng Bồ Đào Nha (por)", + "vi|Polish (pol)": "Tiếng Ba Lan (pol)", + "vi|Turkish (tur)": "Tiếng Thổ Nhĩ Kỳ (tur)", + "vi|Russian (rus)": "Tiếng Nga (rus)", + "vi|Dutch (nld)": "Tiếng Hà Lan (nld)", + "vi|Czech (ces)": "Tiếng Séc (ces)", + "vi|Japanese (jpn)": "Tiếng Nhật (jpn)", + "vi|Hindi (hin)": "Tiếng Hindi (hin)", + "vi|Bengali (ben)": "Tiếng Bengali (ben)", + "vi|Hungarian (hun)": "Hungarian (hun)", + "vi|Korean (kor)": "Tiếng Hàn (kor)", + "vi|Vietnamese (vie)": "Vietnamese (VIE)", + "vi|Swedish (swe)": "Tiếng Thụy Điển (swe)", + "vi|Persian (fas)": "Tiếng Ba Tư (FAS)", + "vi|Yoruba (yor)": "Yoruba (yor)", + "vi|Swahili (swa)": "Tiếng Swahili (swa)", + "vi|Indonesian (ind)": "Tiếng Indonesia (ind)", + "vi|Slovak (slk)": "Tiếng Slovak (slk)", + "vi|Croatian (hrv) ": "Tiếng Croatia (hrv)", + "vi|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Đối với tất cả những người đóng góp tài chính và mã, mỗi đóng góp và đề xuất giúp cải thiện chất lượng của E2A.", + "sv|Arabic (ara)": "Arabiska (ara)", + "sv|Chinese (zho)": "Kinesiska (zho)", + "sv|Spanish (spa)": "Spanska (spa)", + "sv|French (fra)": "Franska (från)", + "sv|German (deu)": "Tyska (DEU)", + "sv|Italian (ita)": "Italienska (ita)", + "sv|Portuguese (por)": "Portugisiska (por)", + "sv|Polish (pol)": "Polska (pol)", + "sv|Turkish (tur)": "Turkiska (tur)", + "sv|Russian (rus)": "Ryska (rus)", + "sv|Dutch (nld)": "Nederländska (nld)", + "sv|Czech (ces)": "Tjeckiska (ces)", + "sv|Japanese (jpn)": "Japanska (jpn)", + "sv|Hindi (hin)": "Hindi (hin)", + "sv|Bengali (ben)": "Bengali (ben)", + "sv|Hungarian (hun)": "Ungerska (hun)", + "sv|Korean (kor)": "Koreanska (kor)", + "sv|Vietnamese (vie)": "Vietnamesiska (VIE)", + "sv|Swedish (swe)": "Svenska (Swe)", + "sv|Persian (fas)": "Persiska (fas)", + "sv|Yoruba (yor)": "Yoruba (yor)", + "sv|Swahili (swa)": "Swahili (swa)", + "sv|Indonesian (ind)": "Indonesiska (ind)", + "sv|Slovak (slk)": "Slovakiska (slk)", + "sv|Croatian (hrv) ": "Kroatiska (hrv)", + "sv|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Till alla ekonomiska och kodbidragsgivare bidrar varje bidrag och förslag till att förbättra kvaliteten på E2A.", + "fa|Arabic (ara)": "عربی (عربی)", + "fa|Chinese (zho)": "چینی (ژو)", + "fa|Spanish (spa)": "اسپانیایی (اسپا)", + "fa|French (fra)": "فرانسوی (fra)", + "fa|German (deu)": "آلمانی (deu)", + "fa|Italian (ita)": "ایتالیایی (ita)", + "fa|Portuguese (por)": "پرتغالی (por)", + "fa|Polish (pol)": "لهستانی (pol)", + "fa|Turkish (tur)": "ترکی (تور)", + "fa|Russian (rus)": "روسی (روسی)", + "fa|Dutch (nld)": "هلندی (nld)", + "fa|Czech (ces)": "چک (ces)", + "fa|Japanese (jpn)": "ژاپنی (ژاپنی)", + "fa|Hindi (hin)": "هندی (هین)", + "fa|Bengali (ben)": "بنگالی (بن)", + "fa|Hungarian (hun)": "مجارستانی (هون)", + "fa|Korean (kor)": "کره‌ای (کور)", + "fa|Vietnamese (vie)": "ویتنامی (vie)", + "fa|Swedish (swe)": "سوئدی (swe)", + "fa|Persian (fas)": "فارسی (fas)", + "fa|Yoruba (yor)": "یوروبا (یور)", + "fa|Swahili (swa)": "سواحیلی (swa)", + "fa|Indonesian (ind)": "اندونزیایی (indonesia)", + "fa|Slovak (slk)": "اسلواکی (slk)", + "fa|Croatian (hrv) ": "کرواتی (hrv)", + "fa|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "به اطلاع همه مشارکت‌کنندگان مالی و کدنویسی می‌رساند که هر مشارکت و پیشنهادی به بهبود کیفیت E2A کمک می‌کند.", + "yo|Arabic (ara)": "Lárúbáwá (Lárúbáwá)", + "yo|Chinese (zho)": "Chinese (zho)", + "yo|Spanish (spa)": "Èdè Sípáníìṣì (SPA)", + "yo|French (fra)": "Faranse (fra)", + "yo|German (deu)": "Jẹmánì (DEU)", + "yo|Italian (ita)": "Itali (ita)", + "yo|Portuguese (por)": "Èdè Potogí (por)", + "yo|Polish (pol)": "Pólándì (pol)", + "yo|Turkish (tur)": "Tọki (TUR)", + "yo|Russian (rus)": "Rọ́ṣíà (Rọ́ṣíà)", + "yo|Dutch (nld)": "Dutch (nld)", + "yo|Czech (ces)": "Czech (ces)", + "yo|Japanese (jpn)": "Japanese (jpn)", + "yo|Hindi (hin)": "Hindi (hin)", + "yo|Bengali (ben)": "Èdè Bengali (BEN)", + "yo|Hungarian (hun)": "Hungarian (hun)", + "yo|Korean (kor)": "Kòréà (kor)", + "yo|Vietnamese (vie)": "Vietnamese (VIVE)", + "yo|Swedish (swe)": "Swedish (swe)", + "yo|Persian (fas)": "Persian (FAS)", + "yo|Yoruba (yor)": "Yorùbá (yor)", + "yo|Swahili (swa)": "Swahili (swa)", + "yo|Indonesian (ind)": "Indonesian (IND)", + "yo|Slovak (slk)": "Slovak (slk)", + "yo|Croatian (hrv) ": "Croatian (hrv)", + "yo|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Fún gbogbo àwọn olùpínlẹ̀ owó àti kóódù, ìfowópamọ́ àti àbá kọ̀ọ̀kan ń ṣe ìrànlọ́wọ́ láti mú kí E2A dára sí i.", + "sw|Arabic (ara)": "Kiarabu (ara)", + "sw|Chinese (zho)": "Kichina (zho)", + "sw|Spanish (spa)": "Kihispania (spa)", + "sw|French (fra)": "Kifaransa (fra)", + "sw|German (deu)": "Kijerumani (deu)", + "sw|Italian (ita)": "Kiitaliano (ita)", + "sw|Portuguese (por)": "Kireno (por)", + "sw|Polish (pol)": "Kipolandi (pol)", + "sw|Turkish (tur)": "Kituruki (tur)", + "sw|Russian (rus)": "Kirusi (rus)", + "sw|Dutch (nld)": "Kiholanzi (nld)", + "sw|Czech (ces)": "Kicheki (ces)", + "sw|Japanese (jpn)": "Kijapani (jpn)", + "sw|Hindi (hin)": "Kihindi (hin)", + "sw|Bengali (ben)": "Kibengali (ben)", + "sw|Hungarian (hun)": "Kihungaria (hun)", + "sw|Korean (kor)": "Kikorea (kor)", + "sw|Vietnamese (vie)": "Kivietinamu (vie)", + "sw|Swedish (swe)": "Kiswidi (swe)", + "sw|Persian (fas)": "Kiajemi (fas)", + "sw|Yoruba (yor)": "Kiyoruba (yor)", + "sw|Swahili (swa)": "Kiswahili (swa)", + "sw|Indonesian (ind)": "Kiindonesia (ind)", + "sw|Slovak (slk)": "Kislovakia (slk)", + "sw|Croatian (hrv) ": "Kikroeshia (hrv)", + "sw|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Kwa wachangiaji wote wa kifedha na msimbo, kila mchango na pendekezo husaidia kuboresha ubora wa E2A.", + "id|Arabic (ara)": "Arab (ara)", + "id|Chinese (zho)": "Bahasa Mandarin (zho)", + "id|Spanish (spa)": "Spanyol (spa)", + "id|French (fra)": "Prancis (fra)", + "id|German (deu)": "Jerman (deu)", + "id|Italian (ita)": "Italia (ita)", + "id|Portuguese (por)": "Portugis (por)", + "id|Polish (pol)": "Polandia (pol)", + "id|Turkish (tur)": "Turki (tur)", + "id|Russian (rus)": "Rusia (rus)", + "id|Dutch (nld)": "Belanda (nld)", + "id|Czech (ces)": "Ceko (ces)", + "id|Japanese (jpn)": "Jepang (jpn)", + "id|Hindi (hin)": "Hindi (hin)", + "id|Bengali (ben)": "Bengali (ben)", + "id|Hungarian (hun)": "Hungaria (hun)", + "id|Korean (kor)": "Korea (kor)", + "id|Vietnamese (vie)": "Vietnam (vie)", + "id|Swedish (swe)": "Swedia (swe)", + "id|Persian (fas)": "Persia (fas)", + "id|Yoruba (yor)": "Yoruba (tahun)", + "id|Swahili (swa)": "Swahili (swa)", + "id|Indonesian (ind)": "Bahasa Indonesia (ind)", + "id|Slovak (slk)": "Slowakia (slk)", + "id|Croatian (hrv) ": "Kroasia (hrv)", + "id|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Kepada semua kontributor keuangan dan kode, setiap kontribusi dan saran membantu meningkatkan kualitas E2A.", + "sk|Arabic (ara)": "Arabčina (ara)", + "sk|Chinese (zho)": "Čínština (zho)", + "sk|Spanish (spa)": "Španielčina (kúpele)", + "sk|French (fra)": "Francúzština (fra)", + "sk|German (deu)": "Nemčina (deu)", + "sk|Italian (ita)": "Taliančina (ita)", + "sk|Portuguese (por)": "Portugalčina (por)", + "sk|Polish (pol)": "Poľština (pol)", + "sk|Turkish (tur)": "Turečtina (tur)", + "sk|Russian (rus)": "Ruština (rus)", + "sk|Dutch (nld)": "Holandčina (nld)", + "sk|Czech (ces)": "Czech (ces)", + "sk|Japanese (jpn)": "Japončina (jpn)", + "sk|Hindi (hin)": "Hindčina (hin)", + "sk|Bengali (ben)": "Bengálčina (BEN)", + "sk|Hungarian (hun)": "Maďarčina (HUN)", + "sk|Korean (kor)": "Kórejčina (kor)", + "sk|Vietnamese (vie)": "Vietnamčina (vie)", + "sk|Swedish (swe)": "Švédčina (swe)", + "sk|Persian (fas)": "Perzština (fas)", + "sk|Yoruba (yor)": "Yoruba (yor)", + "sk|Swahili (swa)": "Swahili (swa)", + "sk|Indonesian (ind)": "Indonézština (ind)", + "sk|Slovak (slk)": "Slovak (slk)", + "sk|Croatian (hrv) ": "Chorvátčina (hrv)", + "sk|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Všetkým finančným a kódovým prispievateľom každý príspevok a návrh pomáha zlepšiť kvalitu E2A.", + "hr|Arabic (ara)": "Arapski (ara)", + "hr|Chinese (zho)": "Kineski (zho)", + "hr|Spanish (spa)": "Španjolski (spa)", + "hr|French (fra)": "Francuski (fra)", + "hr|German (deu)": "Njemački (deu)", + "hr|Italian (ita)": "Talijanski (ita)", + "hr|Portuguese (por)": "Portugalski (por)", + "hr|Polish (pol)": "Poljski (pol)", + "hr|Turkish (tur)": "Turski (tur)", + "hr|Russian (rus)": "Ruski (rus)", + "hr|Dutch (nld)": "Nizozemski (nld)", + "hr|Czech (ces)": "Češki (ces)", + "hr|Japanese (jpn)": "Japanski (jpn)", + "hr|Hindi (hin)": "Hindski (hin)", + "hr|Bengali (ben)": "Bengalski (ben)", + "hr|Hungarian (hun)": "Mađarski (hun)", + "hr|Korean (kor)": "Korejski (kor)", + "hr|Vietnamese (vie)": "Vijetnamski (vie)", + "hr|Swedish (swe)": "Švedski (swe)", + "hr|Persian (fas)": "Perzijski (fas)", + "hr|Yoruba (yor)": "Yoruba (yor)", + "hr|Swahili (swa)": "Svahili (sva)", + "hr|Indonesian (ind)": "Indonezijski (ind)", + "hr|Slovak (slk)": "Slovački (slk)", + "hr|Croatian (hrv) ": "Croatian (hrv)", + "hr|To all financial and code contributors, each contribution and suggestion helps to improve the quality of E2A.": "Svim financijskim i kodnim suradnicima, svaki doprinos i prijedlog pomaže u poboljšanju kvalitete E2A.", + "ru|***** ROADMAP *****": "ДК", + "ru|All Features open to public Contributions ⭐": "Все функции открыты для публичных вкладов ⭐", + "ru|Any help from people speaking any of the supported languages to help us improve the models ⭐": "Любая помощь от людей, говорящих на любом из поддерживаемых языков, чтобы помочь нам улучшить модели ⭐", + "ru|Preview Blocks/Chapters before to start the conversion": "Предварительный просмотр блоков/глав перед началом преобразования", + "ru|Edit by sentence converted for surgical text change": "Редактировать по предложению, преобразованному для изменения хирургического текста", + "ru|SML tags integration for voice, pause, break, and more changes ": "Интеграция тегов SML для голоса, паузы, перерыва и других изменений", + "ru|-h -help parameter info in different languages": "-h -help информация о параметрах на разных языках", + "ru|OCR scanning for PDF / JPG / BMP / PNG / TIFF": "Сканирование OCR для PDF / JPG / BMP / PNG / tiff", + "ru|Notebooks Folder [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)": "Папка записных книжек [Обсуждалось здесь](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/5#issuecomment-2408773254)", + "ru|Make Chinese text splitting not split words and improve pause timing [Talked about here](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)": "Сделать так, чтобы разделение текста на китайском языке не разделяло слова, и улучшить время паузы [Обсуждалось здесь](https://github.com/DrewThomasson/ebook2audiobookXTTS/issues/18#issuecomment-2401154894)", + "ru|Dockerfile": "Dockerfile", + "ru|Docker compose": "<bpt i=\"1\" type=\"283\" x=\"1\"/>Docker Compose<ept i=\"1\"/>;", + "ru|Podman compose ": "Подман сочиняет", + "ru|Kaggle Notebook": "Ноутбук Kaggle", + "ru|Google Colab Notebook": "Записная книжка Google Colab", + "ru|Audiobookshelf integration": "Интеграция с аудиокнижной полкой", + "ru|[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Make a IOS app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "ru|[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)": "[Make an android app](https://github.com/DrewThomasson/ebook2audiobook/pull/35#issuecomment-2496495212)", + "fa|TTS engines": "موتورهای TTS", + "fa|XTTSv2": "XTTSv2", + "fa|Bark": "پوست درخت", + "fa|Fairseq": "فِیرسِک", + "fa|VITS": "ویتامین‌ها", + "fa|Tacotron2": "تاکوترون۲", + "fa|YourTTS": "تی تی اس شما", + "fa|Tortoise": "لاک‌پشت زمینی", + "fa|GlowTTS": "گلو تی تی اس", + "fa|Piper": "جنس فلفل سیاه", + "fa|GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)": "GPT-SoVITS (https://github.com/RVC-Boss/GPT-SoVITS)", + "fa|OpenVoice (https://github.com/myshell-ai/OpenVoice)": "اوپن ویس (https://github.com/myshell-ai/OpenVoice))", + "fa|fish-speech (https://github.com/fishaudio/fish-speech)": "گفتار ماهی (https://github.com/fishaudio/fish-speech))", + "fa|ChatTTS (https://github.com/2noise/ChatTTS)": "چتTTS (https://github.com/2noise/ChatTTS)", + "fa|CosyVoice (https://github.com/FunAudioLLM/CosyVoice)": "صدای دلنشین (https://github.com/FunAudioLLM/CosyVoice))", + "fa|F5-TTS (https://github.com/swivid/f5-tts)": "F5-TTS (https://github.com/swivid/f5-tts)", + "fa|chatterbox (https://github.com/resemble-ai/chatterbox)": "chatterbox (https://github.com/resemble-ai/chatterbox)", + "fa|Supertonic (https://github.com/supertone-inc/supertonic)": "سوپرتونیک (https://github.com/supertone-inc/supertonic))", + "fa|Spark-TTS (https://github.com/sparkaudio/spark-tts)": "جرقه-TTS (https://github.com/sparkaudio/spark-tts)", + "fa|index-tts (https://github.com/index-tts/index-tts)": "شاخص-tts (https://github.com/index-tts/index-tts))", + "fa|MeloTTS (https://github.com/myshell-ai/MeloTTS)": "MeloTTS (https://github.com/myshell-ai/MeloTTS)", + "fa|Kokoro-TTS (https://github.com/hexgrad/kokoro)": "Kokoro-TTS (https://github.com/hexgrad/kokoro)", + "fa|OmniVoice (https://github.com/k2-fsa/OmniVoice)": "اومنی وویس (https://github.com/k2-fsa/OmniVoice))", + "fa|Zonos (https://github.com/Zyphra/Zonos)": "زونوس (https://github.com/Zyphra/Zonos))", + "fa|Style-TTS2 (https://github.com/yl4579/StyleTTS2)": "سبک-TTS2 (https://github.com/yl4579/StyleTTS2))", + "fa|Orpheus-TTS (https://github.com/canopyai/Orpheus-TTS)": "اورفئوس-TTS (https://github.com/canopyai/Orpheus-TTS))", + "fa|NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)": "جدید TTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)", + "fa|VIbeVoice (https://github.com/vibevoice-community/VibeVoice)": "VIbeVoice (https://github.com/vibevoice-community/VibeVoice)", + "fa|Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)": "Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)" +} \ No newline at end of file diff --git a/tools/readme_i18n/update_translations.py b/tools/readme_i18n/update_translations.py new file mode 100644 index 0000000..9d2f5d7 --- /dev/null +++ b/tools/readme_i18n/update_translations.py @@ -0,0 +1,300 @@ +import difflib +import json +import re +import sys +import time +import urllib.parse +import urllib.request +from pathlib import Path +from typing import Optional + +ROOT = Path(__file__).resolve().parents[2] +HERE = Path(__file__).resolve().parent +README = ROOT / 'README.md' +BASELINE = HERE / 'baseline_README.md' +CACHE_FILE = HERE / 'cache.json' +I18N_DIR = ROOT / 'readme' +EMAIL = '' +MAX_CHUNK = 450 +THROTTLE = 0.4 +LANGS = { + 'ara': 'ar', 'zho': 'zh-CN', 'spa': 'es', 'fra': 'fr', 'deu': 'de', + 'ita': 'it', 'por': 'pt', 'pol': 'pl', 'tur': 'tr', 'rus': 'ru', + 'nld': 'nl', 'ces': 'cs', 'jpn': 'ja', 'hin': 'hi', 'ben': 'bn', + 'hun': 'hu', 'kor': 'ko', 'vie': 'vi', 'swe': 'sv', 'fas': 'fa', + 'yor': 'yo', 'swa': 'sw', 'ind': 'id', 'slk': 'sk', 'hrv': 'hr', +} +PROTECT = re.compile( + r'(`[^`\n]+`' + r'|!\[[^\]]*\]\([^)]+\)' + r'|\]\([^)]+\)' + r'|https?://\S+' + r'|<[^>\n]+>' + r'|\{[^}\n]*\}' + r'|\[pause:\d+\]' + r'|&\w+;)' +) +LINE_PREFIX = re.compile(r'^(\s*(?:[-*+]\s+|\d+\.\s+|#{1,6}\s+|>\s+)?(?:\[[ x]\]\s+)?)') +FENCE = re.compile(r'```[\s\S]*?```') + +def load_cache()->dict: + if CACHE_FILE.exists(): + return json.loads(CACHE_FILE.read_text(encoding='utf-8')) + return {} + +def save_cache(cache:dict)->None: + CACHE_FILE.write_text(json.dumps(cache, ensure_ascii=False, indent=1), encoding='utf-8') + +def split_blocks(text:str)->list: + lines:list = text.split('\n') + blocks:list = [] + buf:list = [] + in_fence:bool = False + for line in lines: + buf.append(line) + if line.lstrip().startswith('```'): + in_fence = not in_fence + continue + if line.strip() == '' and not in_fence: + blocks.append(buf) + buf = [] + if buf: + blocks.append(buf) + return blocks + +def join_blocks(blocks:list)->str: + return '\n'.join(line for block in blocks for line in block) + +def block_key(block:list)->str: + return '\n'.join(block) + +def is_frozen_block(block:list)->bool: + text:str = block_key(block) + if '```' in text: + return True + stripped:list = [l for l in (line.strip() for line in block) if l] + if stripped and all(l.startswith('|') for l in stripped): + return True + return False + +def block_tokens(block:list)->list: + return sorted(tok for line in block for tok in PROTECT.findall(line)) + +def protect(text:str)->tuple: + tokens:list = [] + def repl(m)->str: + tokens.append(m.group(0)) + return f'\u27e6{len(tokens)-1}\u27e7' + return PROTECT.sub(repl, text), tokens + +def restore(text:str, tokens:list)->Optional[str]: + for i, tok in enumerate(tokens): + ph:str = f'\u27e6{i}\u27e7' + if ph not in text: + return None + text = text.replace(ph, tok) + return text + +def mymemory(text:str, lang:str)->str: + params = { + "q": text, + "langpair": f"en|{lang}", + } + if EMAIL: + params['de'] = EMAIL + url:str = 'https://api.mymemory.translated.net/get?' + urllib.parse.urlencode(params) + for attempt in range(3): + try: + with urllib.request.urlopen(url, timeout=30) as resp: + data = json.loads(resp.read().decode('utf-8')) + if data.get('responseStatus') == 200: + return data['responseData']['translatedText'] + print(f' status {data.get("responseStatus")} for {lang}, retry {attempt+1}', file=sys.stderr) + except Exception as e: + print(f' retry {attempt+1} for {lang}: {e}', file=sys.stderr) + time.sleep(2*(attempt+1)) + raise RuntimeError(f'MyMemory failed for lang={lang}') + +def chunk_text(text:str)->list: + chunks:list = [] + current:str = '' + for piece in re.split(r'(?<=[.!?;:]) ', text): + if len(current)+len(piece)+1 > MAX_CHUNK and current: + chunks.append(current) + current = piece + else: + current = f'{current} {piece}'.strip() + if current: + chunks.append(current) + return chunks + +def translate_text(text:str, lang:str, cache:dict)->str: + key:str = f'{lang}|{text}' + if key in cache: + return cache[key] + protected, tokens = protect(text) + if not re.search(r'[A-Za-z]', protected): + return text + translated:str = ' '.join(mymemory(chunk, lang) for chunk in chunk_text(protected)) + restored:Optional[str] = restore(translated, tokens) + result:str = restored if restored is not None else text + result = result.replace('\n', ' ') + cache[key] = result + time.sleep(THROTTLE) + return result + +def translate_line(line:str, lang:str, cache:dict)->str: + m = LINE_PREFIX.match(line) + prefix:str = m.group(1) if m else '' + body:str = line[len(prefix):] + if not body.strip(): + return line + return prefix + translate_text(body, lang, cache) + +def translate_block(block:list, lang:str, cache:dict)->list: + if is_frozen_block(block): + return block + return [translate_line(line, lang, cache) for line in block] + +def patch_line(old_line:str, new_line:str, tr_line:str)->Optional[str]: + old_protected, old_tokens = protect(old_line) + new_protected, new_tokens = protect(new_line) + if old_protected != new_protected or len(old_tokens) != len(new_tokens): + return None + patched:str = tr_line + for old_tok, new_tok in zip(old_tokens, new_tokens): + if old_tok == new_tok: + continue + if old_tok not in patched: + return None + patched = patched.replace(old_tok, new_tok, 1) + return patched + +def patch_block(old_block:list, new_block:list, tr_block:list, lang:str, cache:dict)->list: + if is_frozen_block(new_block): + return new_block + if len(old_block) != len(new_block) or len(tr_block) != len(old_block): + return translate_block(new_block, lang, cache) + out:list = [] + for old_line, new_line, tr_line in zip(old_block, new_block, tr_block): + if old_line == new_line: + out.append(tr_line) + continue + patched:Optional[str] = patch_line(old_line, new_line, tr_line) + if patched is not None: + out.append(patched) + else: + out.append(translate_line(new_line, lang, cache)) + return out + +def harvest_block(eng_block:list, tr_block:list, lang:str, cache:dict)->None: + if is_frozen_block(eng_block) or len(eng_block) != len(tr_block): + return + for eng_line, tr_line in zip(eng_block, tr_block): + m = LINE_PREFIX.match(eng_line) + prefix:str = m.group(1) if m else '' + eng_body:str = eng_line[len(prefix):] + if not tr_line.startswith(prefix): + continue + tr_body:str = tr_line[len(prefix):] + if not (eng_body.strip() and tr_body.strip() and eng_body != tr_body): + continue + if sorted(PROTECT.findall(eng_body)) != sorted(PROTECT.findall(tr_body)): + continue + cache[f'{lang}|{eng_body}'] = tr_body + +def audit_and_repair(out_blocks:list, new_blocks:list, lang:str, cache:dict)->tuple: + repaired:list = [] + notes:list = [] + for idx, (tr_block, eng_block) in enumerate(zip(out_blocks, new_blocks)): + if is_frozen_block(eng_block): + if block_key(tr_block) != block_key(eng_block): + notes.append(f'block {idx+1}: frozen content (code/table) restored from English') + repaired.append(eng_block) + else: + repaired.append(tr_block) + elif block_tokens(tr_block) != block_tokens(eng_block): + notes.append(f'block {idx+1}: inline code/links/tags differ from English, block retranslated') + for line in eng_block: + m = LINE_PREFIX.match(line) + prefix:str = m.group(1) if m else '' + cache.pop(f'{lang}|{line[len(prefix):]}', None) + repaired.append(translate_block(eng_block, lang, cache)) + else: + repaired.append(tr_block) + return repaired, notes + +def verify(lang_text:str, eng_text:str)->list: + problems:list = [] + if FENCE.findall(lang_text) != FENCE.findall(eng_text): + problems.append('code fences differ from English source') + lang_count:int = len(split_blocks(lang_text)) + eng_count:int = len(split_blocks(eng_text)) + if lang_count != eng_count: + problems.append(f'block count {lang_count} != English {eng_count}') + return problems + +def rebuild(new_blocks:list, lang:str, cache:dict)->list: + return [translate_block(b, lang, cache) for b in new_blocks] + +def main()->int: + new_src:str = README.read_text(encoding='utf-8') + if not BASELINE.exists(): + BASELINE.write_text(new_src, encoding='utf-8') + print('baseline seeded from current README.md, translations assumed in sync') + return 0 + old_src:str = BASELINE.read_text(encoding='utf-8') + cache:dict = load_cache() + old_blocks:list = split_blocks(old_src) + new_blocks:list = split_blocks(new_src) + sm = difflib.SequenceMatcher(None, [block_key(b) for b in old_blocks], [block_key(b) for b in new_blocks], autojunk=False) + opcodes:list = sm.get_opcodes() + changed:int = sum(1 for tag, *_ in opcodes if tag != 'equal') + print(f'{changed} changed region(s) detected in README.md') + for iso3, mm_code in LANGS.items(): + target:Path = I18N_DIR / f'README_{iso3}.md' + if not target.exists(): + print(f'[{iso3}] missing, retranslating whole file') + out_blocks:list = rebuild(new_blocks, mm_code, cache) + else: + tr_blocks:list = split_blocks(target.read_text(encoding='utf-8')) + if len(tr_blocks) != len(old_blocks): + print(f'[{iso3}] structure drift ({len(tr_blocks)} vs {len(old_blocks)} blocks), retranslating whole file') + out_blocks = rebuild(new_blocks, mm_code, cache) + else: + out_blocks = [] + for tag, i1, i2, j1, j2 in opcodes: + if tag == 'equal': + for k in range(i1, i2): + harvest_block(old_blocks[k], tr_blocks[k], mm_code, cache) + out_blocks.extend(tr_blocks[i1:i2]) + elif tag == 'replace' and (i2-i1) == (j2-j1): + for k in range(i2-i1): + out_blocks.append(patch_block(old_blocks[i1+k], new_blocks[j1+k], tr_blocks[i1+k], mm_code, cache)) + elif tag in ('replace', 'insert'): + out_blocks.extend(translate_block(b, mm_code, cache) for b in new_blocks[j1:j2]) + if len(out_blocks) != len(new_blocks): + print(f'[{iso3}] block alignment lost, rebuilding from English') + out_blocks = rebuild(new_blocks, mm_code, cache) + out_blocks, notes = audit_and_repair(out_blocks, new_blocks, mm_code, cache) + for note in notes: + print(f'[{iso3}] {note}') + out_text:str = join_blocks(out_blocks) + problems:list = verify(out_text, new_src) + if problems: + print(f'[{iso3}] integrity check failed ({"; ".join(problems)}), rebuilding from English') + out_blocks = rebuild(new_blocks, mm_code, cache) + out_text = join_blocks(out_blocks) + problems = verify(out_text, new_src) + if problems: + raise RuntimeError(f'[{iso3}] still inconsistent after rebuild: {"; ".join(problems)}') + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(out_text, encoding='utf-8') + save_cache(cache) + print(f'[{iso3}] updated') + BASELINE.write_text(new_src, encoding='utf-8') + print('baseline updated') + return 0 + +if __name__ == '__main__': + sys.exit(main()) diff --git a/tools/workflow-testing/eng_long_test.txt b/tools/workflow-testing/eng_long_test.txt new file mode 100644 index 0000000..8928be3 --- /dev/null +++ b/tools/workflow-testing/eng_long_test.txt @@ -0,0 +1 @@ +Alright here you go just a long stream of words flowing endlessly without any stops or breaks just moving forward like a river that never ends carrying thoughts and ideas without pause or hesitation like a mind racing through the night trying to grasp onto something solid but finding only more thoughts and more words and more movement like a dream that never quite settles into focus always shifting always changing always just beyond reach like running through a field with the wind in your hair feeling free and untethered by the rules of language or structure or anything at all just existing in the purest form of expression where nothing has to make perfect sense and yet it all still feels like it does in some strange and beautiful way like the way music can make you feel something without ever needing words at all just rhythm and motion and the way it carries you forward into something bigger than yourself into something vast and infinite and endless. diff --git a/tools/workflow-testing/hun-test.txt b/tools/workflow-testing/hun-test.txt new file mode 100644 index 0000000..6c725c7 --- /dev/null +++ b/tools/workflow-testing/hun-test.txt @@ -0,0 +1 @@ +Az öreg tölgyfa árnyékában pihenve a szél és a patak csendje régi nyarak kalandjait idézte fel bennem. diff --git a/tools/workflow-testing/ocr_eng_script_font.jpg b/tools/workflow-testing/ocr_eng_script_font.jpg new file mode 100644 index 0000000..ab4207b Binary files /dev/null and b/tools/workflow-testing/ocr_eng_script_font.jpg differ diff --git a/tools/workflow-testing/odc_test_haitian.pdf b/tools/workflow-testing/odc_test_haitian.pdf new file mode 100644 index 0000000..825355a Binary files /dev/null and b/tools/workflow-testing/odc_test_haitian.pdf differ diff --git a/tools/workflow-testing/sml-test.txt b/tools/workflow-testing/sml-test.txt new file mode 100644 index 0000000..1ac5564 --- /dev/null +++ b/tools/workflow-testing/sml-test.txt @@ -0,0 +1,5 @@ +Hello there, and welcome to this audio test. [break] My name is David Attenborough, and I will be your guide through this remarkable demonstration. [pause] In the natural world, silence speaks volumes. [pause:2] But now, let us hear from someone else entirely. +[voice:voices/eng/elder/female/ProfessorMcgonagall.wav] Ah yes, quite right. I am Professor McGonagall, and I must say, this SML tag system is rather impressive. [break] One must appreciate precision in all things, including timed pauses. [pause] Now pay close attention, because we are about to hear from yet another voice. [/voice] +[voice:voices/eng/elder/male/JohnButlerASMR.wav] Hey there, welcome in. [break] Just take a deep breath, and relax. [pause:1] Everything is going to be just fine. [pause] I hope that felt as smooth as it sounded. [/voice] +[voice:voices/eng/elder/male/DavidAttenborough.wav] And so we return, full circle, to where we began. [break] The great migration of voices, across this humble text file, is complete. [pause:2] Extraordinary. [/voice] +And that, my friend, is the default voice once more, wrapping up this complete SML tag test. [break] Every tag has been exercised. [pause] Test complete. \ No newline at end of file diff --git a/tools/workflow-testing/spa_long_test.txt b/tools/workflow-testing/spa_long_test.txt new file mode 100644 index 0000000..4e5713c --- /dev/null +++ b/tools/workflow-testing/spa_long_test.txt @@ -0,0 +1 @@ +Muy bien aquí tienes solo un largo flujo de palabras que fluyen interminablemente sin paradas ni pausas solo avanzando como un río que nunca termina llevando pensamientos e ideas sin pausa ni vacilación como una mente que corre a través de la noche intentando aferrarse a algo sólido pero encontrando solo más pensamientos y más palabras y más movimiento como un sueño que nunca se asienta del todo en el enfoque siempre cambiando siempre alterándose siempre justo fuera del alcance como correr por un campo con el viento en tu cabello sintiéndote libre y sin ataduras a las reglas del lenguaje o la estructura o a cualquier cosa en absoluto simplemente existiendo en la forma más pura de expresión donde nada tiene que tener perfecto sentido y sin embargo todo se siente como si lo tuviera de una manera extraña y hermosa como la forma en que la música puede hacerte sentir algo sin siquiera necesitar palabras en absoluto solo ritmo y movimiento y la forma en que te lleva hacia adelante hacia algo más grande que tú mismo hacia algo vasto e infinito e interminable diff --git a/tools/workflow-testing/test1.txt b/tools/workflow-testing/test1.txt new file mode 100644 index 0000000..e6298e6 --- /dev/null +++ b/tools/workflow-testing/test1.txt @@ -0,0 +1 @@ +This is test file number 1. diff --git a/tools/workflow-testing/test2.txt b/tools/workflow-testing/test2.txt new file mode 100644 index 0000000..e5b1630 --- /dev/null +++ b/tools/workflow-testing/test2.txt @@ -0,0 +1 @@ +This is test file number 2. diff --git a/tools/workflow-testing/test3.txt b/tools/workflow-testing/test3.txt new file mode 100644 index 0000000..195d10f --- /dev/null +++ b/tools/workflow-testing/test3.txt @@ -0,0 +1 @@ +This is test file number 3. diff --git a/tools/workflow-testing/test4.txt b/tools/workflow-testing/test4.txt new file mode 100644 index 0000000..aea297a --- /dev/null +++ b/tools/workflow-testing/test4.txt @@ -0,0 +1 @@ +This is test file number 4. diff --git a/tools/workflow-testing/test5.txt b/tools/workflow-testing/test5.txt new file mode 100644 index 0000000..53fe71a --- /dev/null +++ b/tools/workflow-testing/test5.txt @@ -0,0 +1 @@ +This is test file number 5. diff --git a/tools/workflow-testing/urd-script_davanagari-test.txt b/tools/workflow-testing/urd-script_davanagari-test.txt new file mode 100644 index 0000000..0bf43ab --- /dev/null +++ b/tools/workflow-testing/urd-script_davanagari-test.txt @@ -0,0 +1 @@ +यह टेस्ट फ़ाइल नंबर १ है। diff --git a/uninstall.cmd b/uninstall.cmd new file mode 100755 index 0000000..d695a30 --- /dev/null +++ b/uninstall.cmd @@ -0,0 +1,151 @@ +@echo off +setlocal EnableExtensions EnableDelayedExpansion + +:: ======================================================== +:: CONFIG +:: ======================================================== +set "APP_NAME=ebook2audiobook" +set "SCRIPT_DIR=%~dp0" +set "SCRIPT_DIR=%SCRIPT_DIR:~0,-1%" +set "REAL_INSTALL_DIR=%SCRIPT_DIR%" +set "SCRIPT_NAME=%~nx0" + +set "STARTMENU_DIR=%APPDATA%\Microsoft\Windows\Start Menu\Programs\%APP_NAME%" +set "DESKTOP_LNK=%USERPROFILE%\Desktop\%APP_NAME%.lnk" +set "INSTALLED_LOG=%SCRIPT_DIR%\.installed" + +set "CONDA_HOME=%USERPROFILE%\Miniforge3" +set "CONDA_PATH=%CONDA_HOME%\condabin" + +:: Honor SCOOP env var if set, otherwise default user-install location +if defined SCOOP (set "SCOOP_HOME=%SCOOP%") else (set "SCOOP_HOME=%USERPROFILE%\scoop") +:: ======================================================== + +echo ======================================================== +echo %APP_NAME% Uninstaller +echo ======================================================== +echo Install location: +echo %REAL_INSTALL_DIR% +echo. + +:: ======================================================== +:: USER CONFIRMATION +:: ======================================================== +echo ======================================================== +echo This will uninstall %APP_NAME%. +echo Components listed in .installed will be removed. +echo. +echo Press a key to continue . . . +echo ======================================================== +pause >nul +echo. + +:: ======================================================== +:: TERMINATE APP PROCESS ONLY +:: ======================================================== +tasklist | find /i "%APP_NAME%.exe" >nul && ( + echo Terminating %APP_NAME%.exe + taskkill /IM "%APP_NAME%.exe" /F >nul 2>&1 +) + +:: ======================================================== +:: PROCESS .installed (CONTROLLED REMOVAL) +:: ======================================================== +set "REMOVE_CONDA=" +set "REMOVE_SCOOP=" + +if exist "%INSTALLED_LOG%" ( + for /f "usebackq delims=" %%A in ("%INSTALLED_LOG%") do ( + if /i "%%A"=="Miniforge3" set "REMOVE_CONDA=1" + if /i "%%A"=="Scoop" set "REMOVE_SCOOP=1" + ) +) + +:: ======================================================== +:: DETACH FROM CONDA (SAFETY) +:: ======================================================== +if defined REMOVE_CONDA ( + set "CONDA_SHLVL=" + set "CONDA_DEFAULT_ENV=" + set "CONDA_PREFIX=" + set "PATH=%SystemRoot%\System32;%SystemRoot%" +) + +:: ======================================================== +:: REMOVE MINIFORGE (FAST, ATOMIC) +:: ======================================================== +if defined REMOVE_CONDA if exist "%CONDA_HOME%" ( + echo %CONDA_HOME% + rd /s /q "%CONDA_HOME%" >nul 2>&1 +) + +:: ======================================================== +:: REMOVE SCOOP (USER INSTALL) +:: - scoop 'current' folders are junctions +:: - rd /s /q removes the junction, not the target +:: ======================================================== +if defined REMOVE_SCOOP if exist "%SCOOP_HOME%" ( + echo %SCOOP_HOME% + rd /s /q "%SCOOP_HOME%" >nul 2>&1 +) + +:: ======================================================== +:: REMOVE SHORTCUTS + REGISTRY +:: ======================================================== +if exist "%STARTMENU_DIR%" ( + echo %STARTMENU_DIR% + rd /s /q "%STARTMENU_DIR%" >nul 2>&1 +) + +if exist "%DESKTOP_LNK%" ( + echo %DESKTOP_LNK% + del /q "%DESKTOP_LNK%" >nul 2>&1 +) + +reg delete "HKCU\Software\Microsoft\Windows\CurrentVersion\Uninstall\ebook2audiobook" /f >nul 2>&1 + +:: ======================================================== +:: CLEAN REPOSITORY CONTENT +:: - echo only first-level items +:: - delete recursively +:: - continue even if some items are already gone +:: ======================================================== +echo Cleaning repository content... + +:: Delete files +for %%I in ("%REAL_INSTALL_DIR%\*") do ( + if /i not "%%~nxI"=="%SCRIPT_NAME%" ( + echo %%~nxI + del /f /q "%%~fI" >nul 2>&1 + ) +) + +:: Delete directories +for /D %%I in ("%REAL_INSTALL_DIR%\*") do ( + echo %%~nxI + rd /s /q "%%~fI" >nul 2>&1 +) + +if exist "%INSTALLED_LOG%" ( + echo .installed + del /f /q "%INSTALLED_LOG%" >nul 2>&1 +) + +:: ======================================================== +:: FINAL MESSAGE +:: ======================================================== +echo. +echo ======================================================== +echo Uninstallation completed. +echo. +echo The application content has been removed. +echo Please remove the empty repository folder manually: +echo. +echo %REAL_INSTALL_DIR% +echo. +echo ======================================================== +echo. +echo Press a key to continue . . . +pause >nul + +exit /b \ No newline at end of file diff --git a/uninstall.command b/uninstall.command new file mode 100755 index 0000000..e8d8736 --- /dev/null +++ b/uninstall.command @@ -0,0 +1,190 @@ +#!/usr/bin/env bash + +set -euo pipefail + +: "${HOME:=$PWD}" + +# Zsh safety: allow empty globs (re-run safe) +setopt NULL_GLOB 2>/dev/null || true + +SWITCHED_TO_ZSH="${SWITCHED_TO_ZSH:-0}" + +# ========================================================= +# FORCE ZSH ON MACOS (Finder-friendly) +# ========================================================= +if [[ "${OSTYPE:-}" == darwin* && "$SWITCHED_TO_ZSH" -eq 0 && "$(ps -p $$ -o comm= 2>/dev/null || true)" != "zsh" ]]; then + export SWITCHED_TO_ZSH=1 + exec env zsh "$0" "$@" +fi + +# ========================================================= +# SCRIPT PATH RESOLUTION (BASH + ZSH) +# ========================================================= +if [[ -n "${BASH_SOURCE:-}" ]]; then + script_path="${BASH_SOURCE[0]}" +elif [[ -n "${ZSH_VERSION:-}" ]]; then + script_path="${(%):-%x}" +else + script_path="$0" +fi + +APP_NAME="ebook2audiobook" +SCRIPT_DIR="$(cd "$(dirname "$script_path")" >/dev/null 2>&1 && pwd -P)" +SCRIPT_NAME="$(basename "$script_path")" +INSTALLED_LOG="$SCRIPT_DIR/.installed" + +CONDA_HOME="$HOME/Miniforge3" +CONDA_BIN_PATH="$CONDA_HOME/bin" + +# heavy directories deleted atomically (no traversal) +SKIP_DIRS=("python_env" "Miniforge3") + +# macOS shortcuts (KNOWN, FIXED PATHS) +APP_BUNDLE="$HOME/Applications/$APP_NAME.app" +DESKTOP_ALIAS="$HOME/Desktop/ebook2audiobook" + +# ========================================================= +# HEADER +# ========================================================= +echo +echo "========================================" +echo " $APP_NAME – Uninstaller" +echo "========================================" +echo "Install location:" +echo " $SCRIPT_DIR" +echo + +# ========================================================= +# USER CONFIRMATION +# ========================================================= +if [[ -t 0 ]]; then + echo "This will uninstall $APP_NAME." + echo "Components listed in .installed will be removed." + echo + printf "Press Enter to continue or Ctrl+C to abort..." + read -r _ || true + echo +fi + +# ========================================================= +# macOS SHORTCUT CLEANUP (NO TESTS, GUARDED) +# ========================================================= +if [[ "${OSTYPE:-}" == darwin* ]]; then + echo "Cleaning macOS shortcuts" + + if [[ -n "$APP_BUNDLE" && "$APP_BUNDLE" != "/" ]]; then + rm -rf "$APP_BUNDLE" 2>/dev/null || true + fi + + if [[ -n "$DESKTOP_ALIAS" && "$DESKTOP_ALIAS" != "/" ]]; then + rm -f "$DESKTOP_ALIAS" 2>/dev/null || true + fi +fi + +# ========================================================= +# LINUX SHORTCUT CLEANUP (NO TESTS, GUARDED) +# ========================================================= +if [[ "${OSTYPE:-}" == linux* ]]; then + echo "Cleaning Linux shortcuts" + + if [[ -n "$DESKTOP_ALIAS" && "$DESKTOP_ALIAS" != "/" ]]; then + rm -f "$DESKTOP_ALIAS" 2>/dev/null || true + fi +fi + +# ========================================================= +# PROCESS .installed (CONTROLLED REMOVAL) +# ========================================================= +REMOVE_CONDA=0 +if [[ -f "$INSTALLED_LOG" ]] && grep -iqF "Miniforge3" "$INSTALLED_LOG"; then + REMOVE_CONDA=1 +fi + +# ========================================================= +# SAFE PATH CLEANUP +# ========================================================= +remove_from_path() { + local target="$1" + # Refuse to operate on empty or dangerous targets + [[ -z "$target" ]] && return 0 + case "$target" in + /|/bin|/usr/bin|/sbin|/usr/sbin|/usr/local/bin) return 0 ;; + esac + local new_path="" + local rest="${PATH:-}" + local p + while [[ -n "$rest" ]]; do + if [[ "$rest" == *:* ]]; then + p="${rest%%:*}" + rest="${rest#*:}" + else + p="$rest" + rest="" + fi + [[ -z "$p" ]] && continue + [[ "$p" == "$target" ]] && continue + new_path="${new_path:+$new_path:}$p" + done + PATH="$new_path" + export PATH +} + +# ========================================================= +# FAST DELETE HEAVY REPO DIRS (NO LISTING) +# ========================================================= +for d in "${SKIP_DIRS[@]}"; do + path="$SCRIPT_DIR/$d" + if [[ -n "$path" && "$path" != "/" ]]; then + rm -rf "$path" 2>/dev/null || true + fi +done + +# ========================================================= +# CLEAN REPOSITORY CONTENT (FIRST LEVEL ONLY) +# ========================================================= +echo +echo "Cleaning repository content..." + +# Make unmatched globs expand to nothing instead of erroring (zsh) or staying literal (bash) +if [[ -n "${ZSH_VERSION:-}" ]]; then + setopt local_options null_glob +else + shopt -s nullglob 2>/dev/null || true +fi + +for item in "$SCRIPT_DIR"/* "$SCRIPT_DIR"/.*; do + name="${item##*/}" + [[ "$name" == "." || "$name" == ".." ]] && continue + [[ "$name" == "$SCRIPT_NAME" ]] && continue + echo "-> $item" + if [[ -n "$item" && "$item" != "/" ]]; then + /bin/rm -rf "$item" + fi +done + +# remove .installed if still present +if [[ -n "$INSTALLED_LOG" && "$INSTALLED_LOG" != "/" ]]; then + rm -f "$INSTALLED_LOG" 2>/dev/null || true +fi + +# ========================================================= +# FINAL MESSAGE +# ========================================================= +echo +echo "================================================" +echo " Uninstallation completed." +echo +echo " The application content has been removed." +echo " Please remove the empty repository folder manually:" +echo +echo " $SCRIPT_DIR" +echo +echo "================================================" +echo + +if [[ -t 0 ]]; then + printf "Press Enter to continue..." + read -r _ || true +fi + +exit 0 diff --git a/uninstall.sh b/uninstall.sh new file mode 120000 index 0000000..a52a913 --- /dev/null +++ b/uninstall.sh @@ -0,0 +1 @@ +uninstall.command \ No newline at end of file diff --git a/voices/.gitkeep b/voices/.gitkeep new file mode 100644 index 0000000..e69de29