mirror of
https://github.com/hwchase17/langchain.git
synced 2026-07-12 19:31:24 +00:00
237 lines
7.6 KiB
TOML
237 lines
7.6 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "langchain-classic"
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description = "Building applications with LLMs through composability"
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license = { text = "MIT" }
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readme = "README.md"
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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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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries :: Python Modules",
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]
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version = "1.0.7"
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requires-python = ">=3.10.0,<4.0.0"
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dependencies = [
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"langchain-core>=1.3.3,<2.0.0",
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"langchain-text-splitters>=1.1.2,<2.0.0",
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"langsmith>=0.1.17,<1.0.0",
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"pydantic>=2.7.4,<3.0.0",
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"SQLAlchemy>=1.4.0,<3.0.0",
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"requests>=2.0.0,<3.0.0",
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"PyYAML>=5.3.0,<7.0.0",
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"async-timeout>=4.0.0,<5.0.0; python_version < \"3.11\"",
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]
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[project.optional-dependencies]
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community = ["langchain-community"]
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anthropic = ["langchain-anthropic"]
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openai = ["langchain-openai"]
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azure-ai = ["langchain-azure-ai"]
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cohere = ["langchain-cohere"]
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google-vertexai = ["langchain-google-vertexai"]
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google-genai = ["langchain-google-genai"]
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fireworks = ["langchain-fireworks"]
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ollama = ["langchain-ollama"]
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together = ["langchain-together"]
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mistralai = ["langchain-mistralai"]
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huggingface = ["langchain-huggingface"]
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groq = ["langchain-groq"]
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aws = ["langchain-aws"]
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deepseek = ["langchain-deepseek"]
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xai = ["langchain-xai"]
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perplexity = ["langchain-perplexity"]
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[project.urls]
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Homepage = "https://docs.langchain.com/"
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Documentation = "https://reference.langchain.com/python/langchain_classic/"
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Repository = "https://github.com/langchain-ai/langchain"
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Issues = "https://github.com/langchain-ai/langchain/issues"
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Changelog = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-classic%3D%3D1%22"
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Twitter = "https://x.com/langchain_oss"
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Slack = "https://www.langchain.com/join-community"
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Reddit = "https://www.reddit.com/r/LangChain/"
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[dependency-groups]
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test = [
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"pytest>=9.0.3,<10.0.0",
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"pytest-cov>=4.0.0,<8.0.0",
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"pytest-dotenv>=0.5.2,<1.0.0",
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"pytest-watcher>=0.2.6,<1.0.0",
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"pytest-asyncio>=1.3.0,<2.0.0",
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"pytest-mock>=3.10.0,<4.0.0",
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"pytest-socket>=0.6.0,<1.0.0",
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"pytest-xdist<4.0.0,>=3.6.1",
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"numpy>=1.26.4; python_version<'3.13'",
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"numpy>=2.1.0; python_version>='3.13'",
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"cffi<1.17.1; python_version < \"3.10\"",
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"cffi; python_version >= \"3.10\"",
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"freezegun>=1.2.2,<2.0.0",
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"responses>=0.22.0,<1.0.0",
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"lark>=1.1.5,<2.0.0",
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"pandas>=2.0.0,<3.0.0",
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"syrupy>=5.0.0,<6.0.0",
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"requests-mock>=1.11.0,<2.0.0",
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"toml>=0.10.2,<1.0.0",
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"packaging>=24.2.0,<27.0.0",
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"langchain-tests",
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"langchain-core",
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"langchain-text-splitters",
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"langchain-openai",
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]
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test_integration = [
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"vcrpy>=8.0.0,<9.0.0",
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"wrapt>=1.15.0,<3.0.0",
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"python-dotenv>=1.0.0,<2.0.0",
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"cassio>=0.1.0,<1.0.0; python_version < '3.14'",
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"langchain-core",
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"langchain-text-splitters",
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]
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lint = [
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"ruff>=0.15.0,<0.16.0",
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"cffi<1.17.1; python_version < \"3.10\"",
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"cffi; python_version >= \"3.10\"",
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]
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typing = [
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"mypy>=1.19.1,<1.20.0",
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"mypy-protobuf>=3.0.0,<6.0.0",
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"types-pyyaml>=6.0.12.2,<7.0.0.0",
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"types-requests>=2.28.11.5,<3.0.0.0",
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"types-toml>=0.10.8.1,<1.0.0.0",
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"types-redis>=4.3.21.6,<5.0.0.0",
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"types-pytz>=2023.3.0.0,<2027.0.0.0",
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"types-chardet>=5.0.4.6,<6.0.0.0",
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"numpy>=1.26.4; python_version < '3.13'",
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"numpy>=2.1.0; python_version >= '3.13'",
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"langchain-core",
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"langchain-text-splitters",
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"fastapi<1.0.0,>=0.116.1",
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]
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dev = [
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"jupyter>=1.0.0,<2.0.0",
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"playwright>=1.28.0,<2.0.0",
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"setuptools>=67.6.1,<83.0.0",
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"langchain-core",
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"langchain-text-splitters",
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]
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[tool.uv.sources]
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langchain-core = { path = "../core", editable = true }
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langchain-tests = { path = "../standard-tests", editable = true }
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langchain-text-splitters = { path = "../text-splitters", editable = true }
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langchain-openai = { path = "../partners/openai", editable = true }
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[tool.uv]
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constraint-dependencies = ["urllib3>=2.6.3", "pygments>=2.20.0"]
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[tool.ruff]
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exclude = ["tests/integration_tests/examples/non-utf8-encoding.py"]
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[tool.mypy]
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plugins = ["pydantic.mypy"]
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strict = true
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ignore_missing_imports = true
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enable_error_code = "deprecated"
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warn_unreachable = true
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# TODO: activate for 'strict' checking
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disallow_any_generics = false
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warn_return_any = false
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[tool.ruff.format]
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docstring-code-format = true
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[tool.ruff.lint]
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select = [ "ALL",]
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ignore = [
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"C90", # McCabe complexity
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"COM812", # Messes with the formatter
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"FIX002", # Line contains TODO
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"PERF203", # Rarely useful
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"PLR09", # Too many something (arg, statements, etc)
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"RUF012", # Doesn't play well with Pydantic
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"TC001", # Doesn't play well with Pydantic
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"TC002", # Doesn't play well with Pydantic
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"TC003", # Doesn't play well with Pydantic
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"TD002", # Missing author in TODO
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"TD003", # Missing issue link in TODO
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"RUF002", # Em-dash in docstring
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# TODO rules
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"ANN401", # No type Any
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"D100", # pydocstyle: missing docstring in public module
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"PLC0415", # pylint: import-outside-top-level
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"TRY301", # tryceratops: raise-within-try
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]
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unfixable = [
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"B028", # People should intentionally tune the stacklevel
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]
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flake8-annotations.allow-star-arg-any = true
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flake8-annotations.mypy-init-return = true
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flake8-type-checking.runtime-evaluated-base-classes = ["pydantic.BaseModel","langchain_core.load.serializable.Serializable","langchain_core.runnables.base.RunnableSerializable"]
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pep8-naming.classmethod-decorators = [ "classmethod", "langchain_core.utils.pre_init", "pydantic.field_validator", "pydantic.v1.root_validator",]
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pyupgrade.keep-runtime-typing = true
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[tool.ruff.lint.pydocstyle]
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convention = "google"
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ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters
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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.extend-per-file-ignores]
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"tests/**/*.py" = [
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"D1", # Docstrings not mandatory in tests
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"S101", # Tests need assertions
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"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
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"SLF001", # Private member access in tests
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"PLR2004", # Magic value comparisons
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]
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"tests/integration_tests/examples/*.py" = [
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"INP001", # Not a package
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"EXE001", # Only examples
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]
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"scripts/*.py" = [
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"INP001", # Not a package
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]
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"langchain_classic/chains/constitutional_ai/principles.py" = [
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"E501", # Line too long
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]
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"**/retrievers/*time_weighted_retriever.py" = [
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"DTZ001", # Use of non timezone-aware datetime
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"DTZ005", # Use of non timezone-aware datetime
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"DTZ006", # Use of non timezone-aware datetime
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]
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"**/__init__.py" = [
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"D104", # Missing docstring in public package
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]
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[tool.coverage.run]
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omit = ["tests/*"]
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[tool.pytest.ini_options]
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addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
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markers = [
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"requires: mark tests as requiring a specific library",
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"scheduled: mark tests to run in scheduled testing",
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"compile: mark placeholder test used to compile integration tests without running them",
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]
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asyncio_mode = "auto"
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filterwarnings = [
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"ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
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"ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests",
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"ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",
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]
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