mirror of
https://github.com/hwchase17/langchain
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d59c656ea5
#### Update (2): A single `UnstructuredLoader` is added to handle both local and api partitioning. This loader also handles single or multiple documents. #### Changes in `community`: Changes here do not affect users. In the initial process of using the SDK for the API Loaders, the Loaders in community were refactored. Other changes include: The `UnstructuredBaseLoader` has a new check to see if both `mode="paged"` and `chunking_strategy="by_page"`. It also now has `Element.element_id` added to the `Document.metadata`. `UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. As such, now both directly inherit from `UnstructuredBaseLoader` and initialize their `file_path`/`file` attributes respectively and implement their own `_post_process_elements` methods. -------- #### Update: New SDK Loaders in a [partner package](https://python.langchain.com/v0.1/docs/contributing/integrations/#partner-package-in-langchain-repo) are introduced to prevent breaking changes for users (see discussion below). ##### TODO: - [x] Test docstring examples -------- - **Description:** UnstructuredAPIFileIOLoader and UnstructuredAPIFileLoader calls to the unstructured api are now made using the unstructured-client sdk. - **New Dependencies:** unstructured-client - [x] **Add tests and docs**: If you're adding a new integration, please include - [x] a test for the integration, preferably unit tests that do not rely on network access, - [x] update the description in `docs/docs/integrations/providers/unstructured.mdx` - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. TODO: - [x] Update https://python.langchain.com/v0.1/docs/integrations/document_loaders/unstructured_file/#unstructured-api - `langchain/docs/docs/integrations/document_loaders/unstructured_file.ipynb` - The description here needs to indicate that users should install `unstructured-client` instead of `unstructured`. Read over closely to look for any other changes that need to be made. - [x] Update the `lazy_load` method in `UnstructuredBaseLoader` to handle json responses from the API instead of just lists of elements. - This method may need to be overwritten by the API loaders instead of changing it in the `UnstructuredBaseLoader`. - [x] Update the documentation links in the class docstrings (the Unstructured documents have moved) - [x] Update Document.metadata to include `element_id` (see thread [here](https://unstructuredw-kbe4326.slack.com/archives/C044N0YV08G/p1718187499818419)) --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com>
4420 lines
369 KiB
TOML
4420 lines
369 KiB
TOML
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "chardet"
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version = "5.2.0"
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description = "Universal encoding detector for Python 3"
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optional = false
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python-versions = ">=3.7"
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files = [
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[[package]]
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name = "charset-normalizer"
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version = "3.3.2"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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description = "Composable command line interface toolkit"
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optional = false
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python-versions = ">=3.7"
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[[package]]
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name = "codespell"
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description = "Codespell"
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name = "colorama"
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version = "15.0.1"
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description = "Colored terminal output for Python's logging module"
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[package.dependencies]
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humanfriendly = ">=9.1"
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[package.extras]
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cron = ["capturer (>=2.4)"]
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name = "contourpy"
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version = "1.2.1"
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description = "Python library for calculating contours of 2D quadrilateral grids"
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files = []
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develop = true
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pydantic = [
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[package.source]
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requests = ">=2,<3"
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iopath = "*"
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scipy = "*"
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effdet = ["effdet", "torch", "torchvision"]
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ocr = ["google-cloud-vision (==1)", "pytesseract"]
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]
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[package.dependencies]
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Deprecated = "*"
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lxml = ">=4.8"
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packaging = "*"
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Pillow = ">=10.0.1"
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[package.extras]
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dev = ["pre-commit", "typer[all]"]
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docs = ["Sphinx (>=3)", "sphinx-autoapi", "sphinx-design", "sphinx-issues", "sphinx-rtd-theme", "tomli"]
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mypy = ["lxml-stubs", "types-Pillow", "types-requests", "types-setuptools"]
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test = ["attrs (>=20.2.0)", "coverage[toml]", "hypothesis (>=6.36)", "numpy (>=1.21.0)", "psutil (>=5.9)", "pybind11", "pytest (>=6.2.5)", "pytest-cov (>=3.0.0)", "pytest-timeout (>=2.1.0)", "pytest-xdist (>=2.5.0)", "python-dateutil (>=2.8.1)", "python-xmp-toolkit (>=2.0.1)", "tomli"]
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[[package]]
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name = "pillow"
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version = "10.4.0"
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description = "Python Imaging Library (Fork)"
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optional = false
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python-versions = ">=3.8"
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[package.extras]
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full = ["numpy"]
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[[package]]
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name = "regex"
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version = "2024.7.24"
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description = "Alternative regular expression module, to replace re."
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optional = false
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python-versions = ">=3.8"
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[package.extras]
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all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
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dev = ["safetensors[all]"]
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jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
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mlx = ["mlx (>=0.0.9)"]
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numpy = ["numpy (>=1.21.6)"]
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paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
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pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
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quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
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tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
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testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"]
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torch = ["safetensors[numpy]", "torch (>=1.10)"]
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[[package]]
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name = "scipy"
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version = "1.13.1"
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description = "Fundamental algorithms for scientific computing in Python"
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optional = false
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python-versions = ">=3.9"
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tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
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tutorials = ["matplotlib", "pandas", "tabulate"]
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[[package]]
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name = "typing-extensions"
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version = "4.12.2"
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description = "Backported and Experimental Type Hints for Python 3.8+"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
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{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
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]
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[[package]]
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name = "typing-inspect"
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version = "0.9.0"
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description = "Runtime inspection utilities for typing module."
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optional = false
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python-versions = "*"
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files = [
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{file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
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{file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
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]
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[package.dependencies]
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mypy-extensions = ">=0.3.0"
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typing-extensions = ">=3.7.4"
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[[package]]
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name = "tzdata"
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version = "2024.1"
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description = "Provider of IANA time zone data"
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optional = false
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python-versions = ">=2"
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files = [
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{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
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{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
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]
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[[package]]
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name = "unstructured"
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|
version = "0.15.0"
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|
description = "A library that prepares raw documents for downstream ML tasks."
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|
optional = false
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|
python-versions = "<3.13,>=3.9.0"
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files = [
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{file = "unstructured-0.15.0-py3-none-any.whl", hash = "sha256:43538e0463aec3741eef06eaf69fc27f6fdaffa7376816c797cb25abb9b55b45"},
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{file = "unstructured-0.15.0.tar.gz", hash = "sha256:b75deb8e46dffbe1c6f82936810a31ab9516923c3a60bd01821d7701fa13b628"},
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]
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[package.dependencies]
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|
backoff = "*"
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|
beautifulsoup4 = "*"
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|
chardet = "*"
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|
dataclasses-json = "*"
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|
effdet = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
emoji = "*"
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|
filetype = "*"
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|
google-cloud-vision = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
langdetect = "*"
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|
lxml = "*"
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|
markdown = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
networkx = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
nltk = "*"
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|
numpy = "<2"
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|
onnx = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
openpyxl = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pandas = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pdf2image = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
"pdfminer.six" = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pikepdf = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pillow-heif = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
psutil = "*"
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|
pypandoc = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pypdf = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
pytesseract = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
python-docx = {version = ">=1.1.2", optional = true, markers = "extra == \"all-docs\""}
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|
python-iso639 = "*"
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|
python-magic = "*"
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|
python-oxmsg = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
python-pptx = {version = "<=0.6.23", optional = true, markers = "extra == \"all-docs\""}
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|
rapidfuzz = "*"
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|
requests = "*"
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|
tabulate = "*"
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|
tqdm = "*"
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|
typing-extensions = "*"
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|
unstructured-client = "*"
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|
unstructured-inference = {version = "0.7.36", optional = true, markers = "extra == \"all-docs\""}
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|
"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"all-docs\""}
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|
wrapt = "*"
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|
xlrd = {version = "*", optional = true, markers = "extra == \"all-docs\""}
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|
|
[package.extras]
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|
airtable = ["pyairtable"]
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|
all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "pytesseract", "python-docx (>=1.1.2)", "python-oxmsg", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
|
astra = ["astrapy"]
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|
azure = ["adlfs", "fsspec"]
|
|
azure-cognitive-search = ["azure-search-documents"]
|
|
bedrock = ["boto3", "langchain-community"]
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|
biomed = ["bs4"]
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|
box = ["boxfs", "fsspec"]
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|
chroma = ["chromadb", "importlib-metadata (>=7.1.0)", "typer (<=0.9.0)"]
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|
clarifai = ["clarifai"]
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|
confluence = ["atlassian-python-api"]
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|
csv = ["pandas"]
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|
databricks-volumes = ["databricks-sdk"]
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|
delta-table = ["deltalake", "fsspec"]
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|
discord = ["discord-py"]
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|
doc = ["python-docx (>=1.1.2)"]
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|
docx = ["python-docx (>=1.1.2)"]
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|
dropbox = ["dropboxdrivefs", "fsspec"]
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|
elasticsearch = ["elasticsearch[async]"]
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|
embed-huggingface = ["huggingface", "langchain-community", "sentence-transformers"]
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|
embed-octoai = ["openai", "tiktoken"]
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|
embed-vertexai = ["langchain", "langchain-community", "langchain-google-vertexai"]
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|
embed-voyageai = ["langchain", "langchain-voyageai"]
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|
epub = ["pypandoc"]
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|
gcs = ["bs4", "fsspec", "gcsfs"]
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|
github = ["pygithub (>1.58.0)"]
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|
gitlab = ["python-gitlab"]
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|
google-drive = ["google-api-python-client"]
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|
hubspot = ["hubspot-api-client", "urllib3"]
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|
huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
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|
image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "pytesseract", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"]
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|
jira = ["atlassian-python-api"]
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|
kafka = ["confluent-kafka"]
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|
local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "pytesseract", "python-docx (>=1.1.2)", "python-oxmsg", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
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|
md = ["markdown"]
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|
mongodb = ["pymongo"]
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|
msg = ["python-oxmsg"]
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|
notion = ["htmlBuilder", "notion-client"]
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|
odt = ["pypandoc", "python-docx (>=1.1.2)"]
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|
onedrive = ["Office365-REST-Python-Client", "bs4", "msal"]
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|
openai = ["langchain-community", "openai", "tiktoken"]
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|
opensearch = ["opensearch-py"]
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|
org = ["pypandoc"]
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|
outlook = ["Office365-REST-Python-Client", "msal"]
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|
paddleocr = ["unstructured.paddleocr (==2.8.0.1)"]
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|
pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "pytesseract", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"]
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|
pinecone = ["pinecone-client (>=3.7.1)"]
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|
postgres = ["psycopg2-binary"]
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|
ppt = ["python-pptx (<=0.6.23)"]
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|
pptx = ["python-pptx (<=0.6.23)"]
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|
qdrant = ["qdrant-client"]
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|
reddit = ["praw"]
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|
rst = ["pypandoc"]
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|
rtf = ["pypandoc"]
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|
s3 = ["fsspec", "s3fs"]
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|
salesforce = ["simple-salesforce"]
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|
sftp = ["fsspec", "paramiko"]
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|
sharepoint = ["Office365-REST-Python-Client", "msal"]
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|
singlestore = ["singlestoredb"]
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|
slack = ["slack-sdk"]
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|
tsv = ["pandas"]
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|
weaviate = ["weaviate-client"]
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|
wikipedia = ["wikipedia"]
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|
xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
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|
|
|
[[package]]
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|
name = "unstructured-client"
|
|
version = "0.24.1"
|
|
description = "Python Client SDK for Unstructured API"
|
|
optional = false
|
|
python-versions = ">=3.8"
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|
files = [
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|
{file = "unstructured-client-0.24.1.tar.gz", hash = "sha256:1bd82a532497783dd77b30ed4e56837d6abfae8cc6d61442acac0bcacbd568c8"},
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{file = "unstructured_client-0.24.1-py3-none-any.whl", hash = "sha256:044dab0c3079f908f6adf7088ad44f0e17476b47e2b04e0de608134a482bd0e3"},
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]
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|
[package.dependencies]
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|
certifi = ">=2023.7.22"
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|
charset-normalizer = ">=3.2.0"
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|
dataclasses-json = ">=0.6.4"
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|
deepdiff = ">=6.0"
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|
httpx = ">=0.27.0"
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|
idna = ">=3.4"
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|
jsonpath-python = ">=1.0.6"
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|
marshmallow = ">=3.19.0"
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|
mypy-extensions = ">=1.0.0"
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|
nest-asyncio = ">=1.6.0"
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|
packaging = ">=23.1"
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|
pypdf = ">=4.0"
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|
python-dateutil = ">=2.8.2"
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|
requests = ">=2.31.0"
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|
requests-toolbelt = ">=1.0.0"
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|
six = ">=1.16.0"
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|
typing-extensions = ">=4.7.1"
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|
typing-inspect = ">=0.9.0"
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|
urllib3 = ">=1.26.18"
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|
[package.extras]
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|
dev = ["pylint (==3.1.0)"]
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|
|
|
[[package]]
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|
name = "unstructured-inference"
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|
version = "0.7.36"
|
|
description = "A library for performing inference using trained models."
|
|
optional = false
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|
python-versions = ">=3.7.0"
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|
files = [
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{file = "unstructured_inference-0.7.36-py3-none-any.whl", hash = "sha256:6e59c2226c0d049d8e78e102d95bba1a126e14ede4d40494a72ef82ecf7fb64f"},
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{file = "unstructured_inference-0.7.36.tar.gz", hash = "sha256:0b998b311c6156df021d309147b724de4f88f80ef17d8328dfc37eedab67d82a"},
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]
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|
[package.dependencies]
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|
huggingface-hub = "*"
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|
layoutparser = "*"
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|
matplotlib = "*"
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|
onnx = "*"
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|
onnxruntime = ">=1.17.0"
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|
opencv-python = "!=4.7.0.68"
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|
python-multipart = "*"
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|
rapidfuzz = "*"
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timm = "*"
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|
torch = "*"
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|
transformers = ">=4.25.1"
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|
[[package]]
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|
name = "unstructured-pytesseract"
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|
version = "0.3.12"
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|
description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
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|
optional = false
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|
python-versions = ">=3.8"
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files = [
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{file = "unstructured.pytesseract-0.3.12-py3-none-any.whl", hash = "sha256:6ed42530fc697bb08d1ae4884cc517ee808620c1c1414efe8d5d90334da068d3"},
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{file = "unstructured.pytesseract-0.3.12.tar.gz", hash = "sha256:751a21d67b1f109036bf4daf796d3e04631697a355efd650f3373412b249de2e"},
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]
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[package.dependencies]
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packaging = ">=21.3"
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Pillow = ">=8.0.0"
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[[package]]
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name = "urllib3"
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version = "2.2.2"
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description = "HTTP library with thread-safe connection pooling, file post, and more."
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optional = false
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python-versions = ">=3.8"
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files = [
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brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
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h2 = ["h2 (>=4,<5)"]
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socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
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zstd = ["zstandard (>=0.18.0)"]
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[[package]]
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|
name = "wrapt"
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version = "1.16.0"
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description = "Module for decorators, wrappers and monkey patching."
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optional = false
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python-versions = ">=3.6"
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files = [
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optional = false
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docs = ["sphinx"]
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test = ["pytest", "pytest-cov"]
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[[package]]
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name = "xlsxwriter"
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