Files
nvidia-nemo--speech/nemo/utils/dependency.py
T
wehub-resource-sync ba4be087d5
Create PR to main with cherry-pick from release / cherry-pick (push) Failing after 0s
CICD NeMo / pre-flight (push) Failing after 0s
CICD NeMo / configure (push) Has been skipped
Build, validate, and release Neural Modules / pre-flight (push) Failing after 1s
CICD NeMo / code-linting (push) Has been skipped
Build, validate, and release Neural Modules / release (push) Has been skipped
Build, validate, and release Neural Modules / release-summary (push) Has been cancelled
CICD NeMo / cicd-test-container-build (push) Has been cancelled
CICD NeMo / cicd-import-tests (push) Has been cancelled
CICD NeMo / L0_Setup_Test_Data_And_Models (push) Has been cancelled
CICD NeMo / cicd-main-unit-tests (push) Has been cancelled
CICD NeMo / cicd-main-speech (push) Has been cancelled
CICD NeMo / Nemo_CICD_Test (push) Has been cancelled
CICD NeMo / Coverage (e2e) (push) Has been cancelled
CICD NeMo / Coverage (unit-test) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
CICD NeMo / cicd-wait-in-queue (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

83 lines
3.3 KiB
Python

# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved.
#
# 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.
import importlib
import importlib.util
import types
def is_module_available(*modules: str) -> bool:
"""Check whether the given modules are installed without importing them.
This is safer than a ``try: import ...`` block because some packages have
side effects at import time (e.g., changing the multiprocessing start
method). Use this for lightweight availability checks such as test-skip
decorators or conditional registration.
Args:
*modules: One or more top-level module names to check.
Returns:
``True`` if **all** listed modules are found, ``False`` otherwise.
"""
return all(importlib.util.find_spec(m) is not None for m in modules)
def assert_optional_dependency_available(module_name: str, *, pip_name: str | None = None) -> None:
"""Raise an ``ImportError`` if *module_name* is not installed.
Unlike :func:`import_optional_dependency` this does **not** import the
module — it only checks availability via :func:`is_module_available` and
raises with an actionable install hint on failure. Use this for early
fail-fast checks (e.g., at the top of a CLI entry-point or ``__init__``).
Args:
module_name: The module to check (e.g. ``"lhotse"``).
pip_name: The pip install name if it differs from *module_name*.
When *None*, the top-level package name is used.
Raises:
ImportError: If the module is not found.
"""
if not is_module_available(module_name):
install_name = pip_name if pip_name is not None else module_name.split(".")[0]
raise ImportError(
f"Optional dependency '{module_name}' is not installed. " f"Install it with: pip install {install_name}"
)
def import_optional_dependency(module_name: str, *, pip_name: str | None = None) -> types.ModuleType:
"""Import an optional dependency, raising a clear error if it is not installed.
Args:
module_name: The module to import (e.g. ``"lhotse"`` or ``"torchaudio.transforms"``).
pip_name: The pip install name if it differs from *module_name*
(e.g. ``pip_name="Cython"`` for ``module_name="cython"``).
When *None*, the top-level package name is used.
Returns:
The imported module.
Raises:
ImportError: If the module cannot be imported, with an actionable
install hint.
"""
try:
return importlib.import_module(module_name)
except ImportError:
install_name = pip_name if pip_name is not None else module_name.split(".")[0]
raise ImportError(
f"Optional dependency '{module_name}' is not installed. " f"Install it with: pip install {install_name}"
) from None