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poetry.lock
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# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
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{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.6.2.post1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
files = [
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{file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
]
[package.dependencies]
idna = ">=2.8"
sniffio = ">=1.1"
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "bertopic"
version = "0.16.4"
description = "BERTopic performs topic Modeling with state-of-the-art transformer models."
optional = false
python-versions = ">=3.8"
files = [
{file = "bertopic-0.16.4-py3-none-any.whl", hash = "sha256:c73676be03f9bd472f8b124c959824d7fd827682732fb6066981e3dd21b94b70"},
{file = "bertopic-0.16.4.tar.gz", hash = "sha256:acbe5e9be4ca3c8b89fbfc39a92d172cf7a2bb2f0842dfdb4b227c16ad232d45"},
]
[package.dependencies]
hdbscan = ">=0.8.29"
numpy = ">=1.20.0"
pandas = ">=1.1.5"
plotly = ">=4.7.0"
scikit-learn = ">=0.22.2.post1"
sentence-transformers = ">=0.4.1"
tqdm = ">=4.41.1"
umap-learn = ">=0.5.0"
[package.extras]
datamap = ["datamapplot (>=0.1)", "matplotlib (>=3.8)"]
dev = ["bertopic[docs,test]"]
docs = ["mkdocs (==1.5.3)", "mkdocs-material (==9.5.18)", "mkdocstrings (==0.24.3)", "mkdocstrings-python (==1.10.0)"]
flair = ["flair (>=0.7)", "torch (>=1.4.0)", "transformers (>=3.5.1)"]
gensim = ["gensim (>=4.0.0)"]
spacy = ["spacy (>=3.0.1)"]
test = ["pytest (>=5.4.3)", "pytest-cov (>=2.6.1)", "ruff (>=0.4.7,<0.5.0)"]
use = ["tensorflow", "tensorflow-hub", "tensorflow-text"]
vision = ["Pillow (>=9.2.0)", "accelerate (>=0.19.0)"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "cfgv"
version = "3.4.0"
description = "Validate configuration and produce human readable error messages."
optional = false
python-versions = ">=3.8"
files = [
{file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
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]
[[package]]
name = "charset-normalizer"
version = "3.4.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
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