mirror of
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- **Description:** - [OCI Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/home.htm) is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in the Oracle Cloud Infrastructure. This PR add integration for using LangChain with an LLM hosted on a [OCI Data Science Model Deployment](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-about.htm). To authenticate, [oracle-ads](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html) has been used to automatically load credentials for invoking endpoint. - **Issue:** None - **Dependencies:** `oracle-ads` - **Tag maintainer:** @baskaryan - **Twitter handle:** None --------- Co-authored-by: Erick Friis <erick@langchain.dev>
303 lines
9.3 KiB
TOML
303 lines
9.3 KiB
TOML
[tool.poetry]
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name = "langchain-community"
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version = "0.0.5"
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description = "Community contributed LangChain integrations."
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authors = []
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license = "MIT"
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readme = "README.md"
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repository = "https://github.com/langchain-ai/langchain"
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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langchain-core = "^0.1"
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SQLAlchemy = ">=1.4,<3"
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requests = "^2"
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PyYAML = ">=5.3"
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numpy = "^1"
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aiohttp = "^3.8.3"
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tenacity = "^8.1.0"
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dataclasses-json = ">= 0.5.7, < 0.7"
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langsmith = "~0.0.63"
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tqdm = {version = ">=4.48.0", optional = true}
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openapi-pydantic = {version = "^0.3.2", optional = true}
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faiss-cpu = {version = "^1", optional = true}
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beautifulsoup4 = {version = "^4", optional = true}
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jinja2 = {version = "^3", optional = true}
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cohere = {version = "^4", optional = true}
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openai = {version = "<2", optional = true}
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arxiv = {version = "^1.4", optional = true}
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pypdf = {version = "^3.4.0", optional = true}
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aleph-alpha-client = {version="^2.15.0", optional = true}
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gradientai = {version="^1.4.0", optional = true}
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pgvector = {version = "^0.1.6", optional = true}
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atlassian-python-api = {version = "^3.36.0", optional=true}
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html2text = {version="^2020.1.16", optional=true}
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numexpr = {version="^2.8.6", optional=true}
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jq = {version = "^1.4.1", optional = true}
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pdfminer-six = {version = "^20221105", optional = true}
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lxml = {version = "^4.9.2", optional = true}
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pymupdf = {version = "^1.22.3", optional = true}
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rapidocr-onnxruntime = {version = "^1.3.2", optional = true, python = ">=3.8.1,<3.12"}
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pypdfium2 = {version = "^4.10.0", optional = true}
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gql = {version = "^3.4.1", optional = true}
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pandas = {version = "^2.0.1", optional = true}
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telethon = {version = "^1.28.5", optional = true}
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chardet = {version="^5.1.0", optional=true}
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requests-toolbelt = {version = "^1.0.0", optional = true}
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scikit-learn = {version = "^1.2.2", optional = true}
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py-trello = {version = "^0.19.0", optional = true}
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bibtexparser = {version = "^1.4.0", optional = true}
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pyspark = {version = "^3.4.0", optional = true}
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mwparserfromhell = {version = "^0.6.4", optional = true}
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mwxml = {version = "^0.3.3", optional = true}
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esprima = {version = "^4.0.1", optional = true}
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streamlit = {version = "^1.18.0", optional = true, python = ">=3.8.1,<3.9.7 || >3.9.7,<4.0"}
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psychicapi = {version = "^0.8.0", optional = true}
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cassio = {version = "^0.1.0", optional = true}
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sympy = {version = "^1.12", optional = true}
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rapidfuzz = {version = "^3.1.1", optional = true}
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jsonschema = {version = ">1", optional = true}
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rank-bm25 = {version = "^0.2.2", optional = true}
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geopandas = {version = "^0.13.1", optional = true}
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gitpython = {version = "^3.1.32", optional = true}
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feedparser = {version = "^6.0.10", optional = true}
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newspaper3k = {version = "^0.2.8", optional = true}
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xata = {version = "^1.0.0a7", optional = true}
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xmltodict = {version = "^0.13.0", optional = true}
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markdownify = {version = "^0.11.6", optional = true}
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assemblyai = {version = "^0.17.0", optional = true}
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dashvector = {version = "^1.0.1", optional = true}
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sqlite-vss = {version = "^0.1.2", optional = true}
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motor = {version = "^3.3.1", optional = true}
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timescale-vector = {version = "^0.0.1", optional = true}
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typer = {version= "^0.9.0", optional = true}
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anthropic = {version = "^0.3.11", optional = true}
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aiosqlite = {version = "^0.19.0", optional = true}
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rspace_client = {version = "^2.5.0", optional = true}
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upstash-redis = {version = "^0.15.0", optional = true}
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google-cloud-documentai = {version = "^2.20.1", optional = true}
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fireworks-ai = {version = "^0.9.0", optional = true}
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javelin-sdk = {version = "^0.1.8", optional = true}
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hologres-vector = {version = "^0.0.6", optional = true}
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praw = {version = "^7.7.1", optional = true}
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msal = {version = "^1.25.0", optional = true}
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databricks-vectorsearch = {version = "^0.21", optional = true}
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dgml-utils = {version = "^0.3.0", optional = true}
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datasets = {version = "^2.15.0", optional = true}
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oracle-ads = {version = "^2.9.1", optional = true}
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[tool.poetry.group.test]
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optional = true
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[tool.poetry.group.test.dependencies]
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# The only dependencies that should be added are
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# dependencies used for running tests (e.g., pytest, freezegun, response).
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# Any dependencies that do not meet that criteria will be removed.
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pytest = "^7.3.0"
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pytest-cov = "^4.0.0"
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pytest-dotenv = "^0.5.2"
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duckdb-engine = "^0.9.2"
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pytest-watcher = "^0.2.6"
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freezegun = "^1.2.2"
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responses = "^0.22.0"
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pytest-asyncio = "^0.20.3"
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lark = "^1.1.5"
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pandas = "^2.0.0"
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pytest-mock = "^3.10.0"
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pytest-socket = "^0.6.0"
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syrupy = "^4.0.2"
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requests-mock = "^1.11.0"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.group.codespell]
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optional = true
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[tool.poetry.group.codespell.dependencies]
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codespell = "^2.2.0"
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[tool.poetry.group.test_integration]
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optional = true
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[tool.poetry.group.test_integration.dependencies]
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# Do not add dependencies in the test_integration group
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# Instead:
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# 1. Add an optional dependency to the main group
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# poetry add --optional [package name]
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# 2. Add the package name to the extended_testing extra (find it below)
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# 3. Relock the poetry file
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# poetry lock --no-update
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# 4. Favor unit tests not integration tests.
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# Use the @pytest.mark.requires(pkg_name) decorator in unit_tests.
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# Your tests should not rely on network access, as it prevents other
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# developers from being able to easily run them.
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# Instead write unit tests that use the `responses` library or mock.patch with
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# fixtures. Keep the fixtures minimal.
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# See Contributing Guide for more instructions on working with optional dependencies.
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# https://python.langchain.com/docs/contributing/code#working-with-optional-dependencies
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pytest-vcr = "^1.0.2"
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wrapt = "^1.15.0"
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openai = "^1"
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python-dotenv = "^1.0.0"
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cassio = "^0.1.0"
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tiktoken = "^0.3.2"
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anthropic = "^0.3.11"
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langchain-core = { path = "../core", develop = true }
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fireworks-ai = "^0.9.0"
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boto3 = ">=1.28.57,<2"
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google-cloud-aiplatform = ">=1.37.0,<2"
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[tool.poetry.group.lint]
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optional = true
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[tool.poetry.group.lint.dependencies]
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ruff = "^0.1.5"
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[tool.poetry.group.typing.dependencies]
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mypy = "^0.991"
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types-pyyaml = "^6.0.12.2"
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types-requests = "^2.28.11.5"
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types-toml = "^0.10.8.1"
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types-pytz = "^2023.3.0.0"
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types-chardet = "^5.0.4.6"
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types-redis = "^4.3.21.6"
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mypy-protobuf = "^3.0.0"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.group.dev]
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optional = true
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[tool.poetry.group.dev.dependencies]
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jupyter = "^1.0.0"
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setuptools = "^67.6.1"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.extras]
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cli = ["typer"]
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# An extra used to be able to add extended testing.
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# Please use new-line on formatting to make it easier to add new packages without
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# merge-conflicts
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extended_testing = [
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"aleph-alpha-client",
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"aiosqlite",
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"assemblyai",
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"beautifulsoup4",
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"bibtexparser",
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"cassio",
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"chardet",
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"datasets",
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"google-cloud-documentai",
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"esprima",
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"jq",
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"pdfminer-six",
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"pgvector",
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"pypdf",
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"pymupdf",
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"pypdfium2",
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"tqdm",
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"lxml",
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"atlassian-python-api",
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"mwparserfromhell",
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"mwxml",
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"msal",
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"pandas",
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"telethon",
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"psychicapi",
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"gql",
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"gradientai",
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"requests-toolbelt",
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"html2text",
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"numexpr",
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"py-trello",
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"scikit-learn",
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"streamlit",
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"pyspark",
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"openai",
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"sympy",
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"rapidfuzz",
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"jsonschema",
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"rank-bm25",
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"geopandas",
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"jinja2",
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"gitpython",
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"newspaper3k",
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"feedparser",
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"xata",
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"xmltodict",
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"faiss-cpu",
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"openapi-pydantic",
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"markdownify",
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"arxiv",
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"dashvector",
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"sqlite-vss",
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"rapidocr-onnxruntime",
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"motor",
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"timescale-vector",
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"anthropic",
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"upstash-redis",
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"rspace_client",
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"fireworks-ai",
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"javelin-sdk",
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"hologres-vector",
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"praw",
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"databricks-vectorsearch",
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"dgml-utils",
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"cohere",
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"oracle-ads",
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]
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[tool.ruff]
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select = [
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"E", # pycodestyle
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"F", # pyflakes
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"I", # isort
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]
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exclude = [
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"tests/examples/non-utf8-encoding.py",
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"tests/integration_tests/examples/non-utf8-encoding.py",
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]
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[tool.mypy]
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ignore_missing_imports = "True"
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disallow_untyped_defs = "True"
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exclude = ["notebooks", "examples", "example_data"]
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[tool.coverage.run]
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omit = [
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"tests/*",
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]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.pytest.ini_options]
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# --strict-markers will raise errors on unknown marks.
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# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks
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#
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# https://docs.pytest.org/en/7.1.x/reference/reference.html
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# --strict-config any warnings encountered while parsing the `pytest`
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# section of the configuration file raise errors.
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#
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# https://github.com/tophat/syrupy
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# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite.
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addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
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# Registering custom markers.
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# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers
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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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[tool.codespell]
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skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,example_data,_dist,examples'
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# Ignore latin etc
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ignore-regex = '.*(Stati Uniti|Tense=Pres).*'
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# whats is a typo but used frequently in queries so kept as is
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# aapply - async apply
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# unsecure - typo but part of API, decided to not bother for now
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ignore-words-list = 'momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogyny,unsecure,damon,crate,aadd,symbl,precesses,accademia,nin'
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