wehub-resource-sync
576 lines
18 KiB
TOML
576 lines
18 KiB
TOML
# Auto-generated by dev/pyproject.py. Do not edit manually.
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# This file defines the package metadata of `mlflow` **during development**. To install `mlflow`
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# from the source code, `mlflow-skinny` and `mlflow-tracing` are NOT included in the requirements.
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# This file will be replaced by `pyproject.release.toml` when releasing a new version.
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[build-system]
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requires = ["setuptools<=82.0.1"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "mlflow"
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version = "3.14.1.dev0"
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description = "MLflow is an open source platform for the complete machine learning lifecycle"
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readme = "README.md"
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keywords = ["mlflow", "ai", "databricks"]
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classifiers = [
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: End Users/Desktop",
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"Intended Audience :: Science/Research",
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"Intended Audience :: Information Technology",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3.10",
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]
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requires-python = ">=3.10"
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dependencies = [
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"Flask-CORS<7",
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"Flask<4",
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"aiohttp<4,>=3.7.0",
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"alembic<2,!=1.10.0",
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"cachetools<8,>=5.0.0",
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"click<9,>=7.0",
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"cloudpickle<4",
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"cryptography<49,>=43.0.0",
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"databricks-sdk<1,>=0.20.0",
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"docker<8,>=4.0.0",
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"fastapi<1",
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"gitpython<4,>=3.1.9",
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"graphene<4",
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"gunicorn<27; platform_system != 'Windows'",
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"huey<4,>=2.5.4",
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"importlib_metadata<10,>=3.7.0,!=4.7.0",
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"matplotlib<4",
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"numpy<3",
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"opentelemetry-api<3,>=1.9.0",
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"opentelemetry-proto<3,>=1.9.0",
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"opentelemetry-sdk<3,>=1.9.0",
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"packaging<27",
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"pandas<3",
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"protobuf<8,>=3.12.0",
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"pyarrow<25,>=4.0.0",
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"pydantic<3,>=2.0.0",
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"python-dotenv<2,>=0.19.0",
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"pyyaml<7,>=5.1",
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"requests<3,>=2.17.3",
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"scikit-learn<2",
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"scipy<2",
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"skops<1",
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"sqlalchemy<3,>=1.4.0",
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"sqlparse<1,>=0.4.0",
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"starlette<2",
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"typing-extensions<5,>=4.0.0",
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"uvicorn<1",
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"waitress<4; platform_system == 'Windows'",
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]
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[[project.maintainers]]
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name = "Databricks"
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email = "mlflow-oss-maintainers@googlegroups.com"
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[project.license]
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file = "LICENSE.txt"
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[project.optional-dependencies]
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extras = [
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"pyarrow",
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"requests-auth-aws-sigv4",
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"boto3",
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"botocore",
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"google-cloud-storage>=1.30.0",
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"azureml-core>=1.2.0",
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"pysftp",
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"kubernetes",
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"prometheus-flask-exporter",
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]
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db = ["PyMySQL", "psycopg2-binary", "pymssql"]
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databricks = [
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"azure-storage-file-datalake>12",
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"google-cloud-storage>=1.30.0",
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"boto3>1",
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"botocore",
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"databricks-agents>=1.2.0,<2.0",
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]
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gateway = [
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"boto3<2,>=1.28.56",
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"fastapi<1",
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"slowapi<1,>=0.1.9",
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"tiktoken<1",
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"uvicorn[standard]<1",
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"watchfiles<2",
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]
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genai = [
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"boto3<2,>=1.28.56",
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"fastapi<1",
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"slowapi<1,>=0.1.9",
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"tiktoken<1",
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"uvicorn[standard]<1",
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"watchfiles<2",
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]
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mcp = ["fastmcp<4,>=2.7.0", "click!=8.3.0"]
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azure = ["azure-storage-blob>=12", "azure-identity>=1.6.1"]
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sqlserver = ["mlflow-dbstore"]
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aliyun-oss = ["aliyunstoreplugin"]
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jfrog = ["mlflow-jfrog-plugin"]
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kubernetes = ["kubernetes"]
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langchain = ["langchain>=0.3.26,<=1.3.4"]
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auth = ["Flask-WTF<2"]
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[project.urls]
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homepage = "https://mlflow.org"
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issues = "https://github.com/mlflow/mlflow/issues"
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documentation = "https://mlflow.org/docs/latest"
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repository = "https://github.com/mlflow/mlflow"
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[project.scripts]
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mlflow = "mlflow.cli:cli"
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[project.entry-points."mlflow.app"]
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basic-auth = "mlflow.server.auth:create_app"
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[project.entry-points."mlflow.app.client"]
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basic-auth = "mlflow.server.auth.client:AuthServiceClient"
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[project.entry-points."mlflow.deployments"]
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databricks = "mlflow.deployments.databricks"
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http = "mlflow.deployments.mlflow"
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https = "mlflow.deployments.mlflow"
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openai = "mlflow.deployments.openai"
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[tool.setuptools.package-data]
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mlflow = [
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"store/db_migrations/alembic.ini",
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"temporary_db_migrations_for_pre_1_users/alembic.ini",
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"pyspark/ml/log_model_allowlist.txt",
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"server/auth/basic_auth.ini",
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"server/auth/db/migrations/alembic.ini",
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"server/uvicorn_log_config.yaml",
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"models/notebook_resources/**/*",
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"ai_commands/**/*.md",
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"assistant/skills/**/*",
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"agent/setup/templates/**/*.md",
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"models/container/**/*",
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"server/js/build/**/*",
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"utils/model_catalog/*.json",
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]
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["mlflow", "mlflow.*"]
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exclude = ["tests", "tests.*"]
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namespaces = false
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# Package metadata: can't be updated manually, use dev/pyproject.py
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# -----------------------------------------------------------------
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# Dev tool settings: can be updated manually
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[dependency-groups]
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dev = [
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{ include-group = "lint" },
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{ include-group = "test" },
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{ include-group = "build" },
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"mlflow-test-plugin",
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"skills",
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]
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lint = [
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"ruff==0.15.17",
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"pre-commit==4.0.1",
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"toml==0.10.2",
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"types-toml",
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"mypy==1.17.1",
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"ty==0.0.24",
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"pydantic>=2.0",
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"clint",
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"flavors",
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"pypi",
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"pyyaml>=6.0.2",
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"types-PyYAML",
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"packaging>=25.0",
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"aiohttp",
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"pytest",
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"requests",
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"check-jsonschema==0.37.2",
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]
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pytest = [
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"pytest==9.0.2",
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"pytest-asyncio",
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"pytest-benchmark",
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"pytest-repeat",
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"pytest-cov",
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"pytest-timeout",
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]
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test = [
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{ include-group = "pytest" },
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"psutil",
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"pyspark",
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"opentelemetry-exporter-otlp-proto-grpc",
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"opentelemetry-exporter-otlp-proto-http",
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]
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build = ["pip", "setuptools", "wheel", "build"]
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docs = [
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"sphinx==4.2.0",
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"sphinx-autobuild",
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"sphinx-click",
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"sphinx-tabs==3.2.0",
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"sphinx-reredirects==0.1.3",
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"sphinxcontrib-applehelp<1.0.8",
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"sphinxcontrib-devhelp<1.0.6",
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"sphinxcontrib-htmlhelp<2.0.4",
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"sphinxcontrib-serializinghtml<1.1.10",
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"sphinxcontrib-qthelp<1.0.7",
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"nbconvert",
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"nbformat",
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"tensorflow",
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"keras",
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"pyspark",
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"datasets",
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"plotly",
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"Flask-WTF<2",
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"polars>=1",
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"openai",
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"haystack-ai",
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"deepeval",
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"ragas",
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"instructor",
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"langchain-community>=0.3.0",
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]
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[tool.uv]
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exclude-newer = "P7D"
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exclude-newer-package = { torch = false, torchvision = false }
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required-version = ">=0.11.14"
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constraint-dependencies = [
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# xgboost 3.1.0 changed base_score format to vector for multi-output models, breaking shap compatibility
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# https://xgboost.readthedocs.io/en/latest/changes/v3.1.0.html#multi-target-class-intercept
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"xgboost<3.1.0",
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# pyspark 4.1.0 causes issues with documentation build
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"pyspark<4.1.0",
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# setuptools 82.0.0 removed pkg_resources, breaking packages that depend on it (e.g., sphinx)
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"setuptools<82",
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]
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# Prevent third-party libraries from installing uv to avoid conflicts with uv installed
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# by the standalone installer
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exclude-dependencies = ["uv"]
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[tool.uv.pip]
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torch-backend = "cpu"
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[tool.uv.workspace]
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members = [
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"dev/clint",
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"dev/flavors",
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"dev/pypi",
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"tests/resources/mlflow-test-plugin",
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".claude/skills",
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]
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[tool.uv.sources]
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clint = { workspace = true }
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flavors = { workspace = true }
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pypi = { workspace = true }
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mlflow-test-plugin = { workspace = true }
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skills = { workspace = true }
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torch = { index = "pytorch-cpu" }
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torchvision = { index = "pytorch-cpu" }
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[tool.ruff]
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line-length = 100
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target-version = "py310"
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required-version = "0.15.17"
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force-exclude = true
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extend-include = ["*.ipynb"]
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extension = { mdx = "markdown" }
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extend-exclude = [
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"examples/llama_index/workflow",
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"mlflow/assistant/skills",
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"mlflow/protos",
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"mlflow/ml_package_versions.py",
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"mlflow/server/graphql/autogenerated_graphql_schema.py",
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"mlflow/server/js",
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"tests/protos",
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]
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[tool.ruff.format]
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preview = true
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docstring-code-format = true
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[tool.ruff.lint]
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preview = true
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dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
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select = [
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"B006", # multiple-argument-default
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"B012", # jump-statement-in-finally
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"B015", # useless-comparison
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"D209", # new-line-after-last-paragraph
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"D411", # no-blank-line-before-section
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"DTZ003", # call-datetime-utcnow
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"E", # error
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"F", # Pyflakes
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"FURB110", # if-exp-instead-of-or-operator
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"FURB129", # readlines-in-for
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"FURB142", # for-loop-set-mutations
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"FURB148", # unnecessary-enumerate
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"FURB167", # regex-flag-alias
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"FURB188", # slice-to-remove-prefix-or-suffix
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"FURB192", # sorted-min-max
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"C4", # flake8-comprehensions
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"I", # isort
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"ISC001", # single-line-implicit-string-concatenation
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"N804", # invalid-first-argument-name-for-class-method
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"PERF401", # manual-list-comprehension
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"PIE790", # unnecessary-placeholder
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"PLR0402", # manual-from-import
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"PLR1714", # repeated-equality-comparison
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"PLE1205", # logging-too-many-args
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"PLW0602", # global-variable-not-assigned
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"PLW1508", # invalid-envvar-default
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"PT001", # pytest-fixture-incorrect-parentheses-style
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"PT002", # pytest-fixture-positional-args
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"PT003", # pytest-extraneous-scope-function
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"PT006", # pytest-parameterize-names-wrong-type
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"PT007", # pytest-parameterize-values-wrong-type
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"PT009", # pytest-unittest-assertion
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"PT010", # pytest-raises-without-exception
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"PT011", # pytest-raises-too-broad
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"PT012", # pytest-raises-with-multiple-statements
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"PT013", # pytest-incorrect-pytest-import
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"PT014", # pytest-duplicate-parametrize-test-cases
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"PT017", # pytest-assert-in-except
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"PT018", # pytest-composite-assertion
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"PT022", # pytest-useless-yield-fixture
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"PT023", # pytest-incorrect-mark-parentheses-style
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"PT026", # pytest-use-fixtures-without-parameters
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"PT027", # pytest-unittest-raises-assertion
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"PT030", # pytest-warns-too-broad
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"PT031", # pytest-warns-with-multiple-statements
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"PYI024", # collections-named-tuple
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"RET504", # unnecessary-assign
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"RUF002", # ambiguous-unicode-character-docstring
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"RUF003", # ambiguous-unicode-character-comment
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"RUF010", # explicit-f-string-type-conversion
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"RUF013", # implicit-optional
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"RUF039", # unraw-re-pattern
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"RUF051", # if-key-in-dict-del
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"RUF068", # duplicate-entry-in-dunder-all
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"RUF100", # unused-noqa
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"S102", # exec-builtin
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"S307", # suspicious-eval-usage
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"S324", # hashlib-insecure-hash-function
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"S506", # unsafe-yaml-load
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"SIM101", # duplicate-isinstance-call
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"SIM108", # if-else-block-instead-of-if-exp
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"SIM114", # if-with-same-arms
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"SIM115", # open-file-with-context-handler
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"SIM210", # if-expr-with-true-false
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"SIM910", # dict-get-with-none-default
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"T20", # flake8-print
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"TID251", # banned-api
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"TID252", # relative-import
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"TRY203", # useless-try-except
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"UP004", # useless-object-inheritance
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"UP006", # non-pep585-annotation
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"UP007", # non-pep604-annotation-union
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"UP008", # super-call-with-parameters
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"UP011", # lru-cache-without-parameters
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"UP012", # unnecessary-encode-utf8
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"UP015", # redundant-open-modes
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"UP030", # format-literals
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"UP031", # printf-string-format
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"UP034", # extraneous-parenthesis
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"UP045", # non-pep604-annotation-optional
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"W", # warning
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]
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ignore = [
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"E265", # no-space-after-block-comment
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"E266", # multiple-leading-hashes-for-block-comment
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"E402", # module-import-not-at-top-of-file
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"E721", # type-comparison
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"E741", # ambiguous-variable-name
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"F811", # redefined-while-unused
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]
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[tool.ruff.lint.per-file-ignores]
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|
"dev/*" = ["T201", "PT018"]
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|
"dev/benchmarks/*" = ["T20"]
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"examples/*" = ["T20", "RET504", "E501"]
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"docs/*" = ["T20", "RET504", "E501"]
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"mlflow/*" = ["PT018"]
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[tool.ruff.lint.flake8-pytest-style]
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|
mark-parentheses = false
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|
fixture-parentheses = false
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|
raises-require-match-for = ["*"]
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|
warns-require-match-for = ["*"]
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[tool.ruff.lint.flake8-tidy-imports]
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ban-relative-imports = "all"
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[tool.ruff.lint.isort]
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forced-separate = ["tests"]
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|
# https://docs.astral.sh/ruff/faq/#how-does-ruff-determine-which-of-my-imports-are-first-party-third-party-etc
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# The `docker` package is marked as third-party because a `docker` directory exists in the repository root,
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# which would otherwise cause ruff to incorrectly classify it as first-party.
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|
known-third-party = ["docker"]
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[tool.ruff.lint.flake8-tidy-imports.banned-api]
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"pkg_resources".msg = "Do not use pkg_resources. Use importlib.resources or importlib.metadata instead."
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"entrypoints".msg = "Do not use entrypoints. Use importlib.metadata.entry_points instead."
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"pip".msg = "Importing pip can cause undesired side effects such as https://github.com/scikit-learn/scikit-learn/issues/26992. Consider using `subprocess.run([sys.executable, '-m', 'pip', ...])` instead."
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[tool.ruff.lint.pydocstyle]
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|
convention = "google"
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|
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|
[tool.clint]
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|
exclude = [
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"mlflow/assistant/skills",
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"mlflow/protos",
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|
"mlflow/ml_package_versions.py",
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"mlflow/models/notebook_resources/eval_with_synthetic_example.py",
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"mlflow/server/js",
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"mlflow/store/db_migrations",
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"mlflow/genai/__init__.py",
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|
"mlflow/genai/datasets/__init__.py",
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|
"mlflow/genai/labeling/__init__.py",
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"mlflow/genai/label_schemas/__init__.py",
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"tests/protos",
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"docs/docs/classic-ml/mlflow-3/index.mdx",
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"examples/open_webui/mlflow_filter_pipeline.py",
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]
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|
typing-extensions-allowlist = [
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# Docs: https://typing-extensions.readthedocs.io/en/latest/
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"typing_extensions.Self", # Added in 4.0.0
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|
"typing_extensions.NotRequired", # Added in 4.0.0
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|
]
|
|
# Rules that are only enabled for code examples.
|
|
example-rules = [
|
|
"lazy-import",
|
|
"log-model-artifact-path",
|
|
"unknown-mlflow-function",
|
|
"unknown-mlflow-arguments",
|
|
"multi-assign",
|
|
"get-artifact-uri",
|
|
]
|
|
|
|
[tool.clint.per-file-ignores]
|
|
"^(?!mlflow/).*$" = ["forbidden-set-active-model-usage"]
|
|
"^(?!mlflow/|tests/).*$" = ["unnamed-thread", "unnamed-thread-pool"]
|
|
# Multi-assign has better readability in this example.
|
|
"docs/docs/classic-ml/getting-started/deep-learning.mdx" = ["multi-assign"]
|
|
|
|
[tool.clint.forbidden-top-level-imports]
|
|
"mlflow/gateway/providers/*" = ["fastapi", "starlette", "aiohttp"]
|
|
# Databricks SDK/Agents should not be imported at the top level
|
|
"mlflow/*" = ["databricks"]
|
|
|
|
# typos
|
|
[tool.typos.default.extend-words]
|
|
aimd = "aimd" # additive increase multiplicative decrease
|
|
als = "als" # alternating least squares
|
|
mape = "mape" # mean absolute percentage error
|
|
fpr = "fpr" # false positive rate
|
|
gam = "gam" # generalized additive models
|
|
ser = "ser" # serialization
|
|
yhat = "yhat" # ŷ
|
|
iternal = "internal" # typo of "internal"
|
|
instumentation = "instrumentation" # typo of "instrumentation"
|
|
selectin = "selectin" # SQLAlchemy lazy loading strategy
|
|
tpe = "tpe" # Tree-structured Parzen Estimator (hyperopt/optuna)
|
|
TPE = "TPE" # Tree-structured Parzen Estimator (hyperopt/optuna)
|
|
indx = "indx" # intentional shorthand for index
|
|
Tru = "Tru" # TruLens library name prefix
|
|
|
|
# https://github.com/crate-ci/typos/blob/master/docs/reference.md
|
|
[tool.typos.files]
|
|
extend-exclude = [
|
|
# Allowlist: only check these extensions
|
|
"*",
|
|
"!*/",
|
|
"!*.py",
|
|
"!*.md",
|
|
"!*.mdx",
|
|
# Ignore proto files (re-excluded because they match *.py above)
|
|
"mlflow/protos/**/*",
|
|
# Vendored files
|
|
"mlflow/utils/gorilla.py",
|
|
# Submodule (typos should be fixed upstream)
|
|
"mlflow/assistant/skills/**/*",
|
|
]
|
|
|
|
[tool.typos.default]
|
|
extend-ignore-re = [
|
|
# Line ignore with trailing `# spellchecker: disable-line`
|
|
"(?Rm)^.*#\\s*spellchecker: disable-line$",
|
|
# Line block with `# spellchecker: <on|off>`
|
|
"(?s)(#|//)\\s*spellchecker: off.*?\\n\\s*(#|//)\\s*spellchecker: on",
|
|
# numpy.arange
|
|
"(?i)(numpy|np)\\.arange",
|
|
# nd array
|
|
"(?i)nd( |_|\\.)?array",
|
|
"aNothEr",
|
|
# German / French words/sentences used for testing
|
|
"MLflow ist",
|
|
"Ich habe eine schöne Haufe von Kokos",
|
|
"Ich bin das Modell eines modernen General",
|
|
"Apple Inc. ist ein",
|
|
"Apple Inc. est une entreprise technologique",
|
|
# pytorch-lightning
|
|
"lightning",
|
|
# `typos` flags 'lok' as a typo of 'look'
|
|
"(?i)daniel lok",
|
|
# GitHub user mentions
|
|
"@[a-z0-9-]+",
|
|
"PNGs",
|
|
# Azure Container Instances
|
|
"\\(ACI\\)",
|
|
# Azure Kubernetes Service
|
|
"\\(AKS\\)",
|
|
"AKS",
|
|
# Song lyrics - "Don't Stop Believin'" by Journey
|
|
"livin'",
|
|
]
|
|
|
|
[tool.pytest]
|
|
addopts = [
|
|
"-p",
|
|
"no:legacypath",
|
|
"--strict-markers",
|
|
"--color=yes",
|
|
"--durations=10",
|
|
"--showlocals",
|
|
"--no-header",
|
|
"-v",
|
|
]
|
|
filterwarnings = [
|
|
# Prevent deprecated numpy type aliases from being used
|
|
"error:^`np\\.[a-z]+` is a deprecated alias for.+:DeprecationWarning:mlflow",
|
|
"error:^`np\\.[a-z]+` is a deprecated alias for.+:DeprecationWarning:tests",
|
|
"error::pytest.PytestCollectionWarning",
|
|
"error:.*type should be str.*converted to str implicitly:pytest.PytestWarning",
|
|
# Prevent deprecated threading.Thread.getName() from being used
|
|
"error:getName\\(\\) is deprecated, get the name attribute instead:DeprecationWarning",
|
|
# Prevent deprecated non-integer arguments to randrange() from being used
|
|
"error:non-integer arguments to randrange\\(\\) have been deprecated:DeprecationWarning",
|
|
# Prevent usage of deprecated Pydantic v2.0 features
|
|
"error::pydantic.PydanticDeprecatedSince20:mlflow",
|
|
"error::pydantic.PydanticDeprecatedSince20:tests",
|
|
# Silence filesystem backend deprecation warnings (https://github.com/mlflow/mlflow/issues/18534)
|
|
"ignore:The filesystem (tracking|model registry) backend.*is deprecated:FutureWarning",
|
|
# Prevent deprecated generator.throw(type, value, tb) signature from being used (Python 3.12+)
|
|
"error:the \\(type, exc, tb\\) signature of throw\\(\\) is deprecated:DeprecationWarning",
|
|
]
|
|
# Use string for pytest-timeout compatibility (https://github.com/pytest-dev/pytest-timeout/issues/194)
|
|
timeout = "1200"
|
|
|
|
# Currently, type checking is only enabled for `dev/clint` and `.claude/skills`.
|
|
[tool.mypy]
|
|
python_version = "3.10"
|
|
strict = true
|
|
exclude_gitignore = true
|