zotero topic modeling

.gitignore

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
#   For a library or package, you might want to ignore these files since the code is
#   intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# poetry
#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
#   This is especially recommended for binary packages to ensure reproducibility, and is more
#   commonly ignored for libraries.
#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
#   in version control.
#   https://pdm-project.org/#use-with-ide
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
#  and can be added to the global gitignore or merged into this file.  For a more nuclear
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

README.md

example-package

pdm.lock

# This file is @generated by PDM.
# It is not intended for manual editing.

[metadata]
groups = ["default"]
strategy = ["cross_platform"]
lock_version = "4.4"
content_hash = "sha256:ddb0891d84865dfde8b5868d614b50b64867aa52a31f49133c8c6c7b1fa4c5c6"

[[package]]
name = "bertopic"
version = "0.16.0"
requires_python = ">=3.7"
summary = "BERTopic performs topic Modeling with state-of-the-art transformer models."
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",
]
files = [
    {file = "bertopic-0.16.0-py2.py3-none-any.whl", hash = "sha256:886b22c361473ef8901d5898ab34c7454e67f99143668d26ec2690cf7b3dc73c"},
    {file = "bertopic-0.16.0.tar.gz", hash = "sha256:7e352b3ea4b517331d5ca03c77abe5caab34decd968cb3a3c39092ec675ed9ba"},
]

[[package]]
name = "bibtexparser"
version = "1.4.1"
summary = "Bibtex parser for python 3"
dependencies = [
    "pyparsing>=2.0.3",
]
files = [
    {file = "bibtexparser-1.4.1.tar.gz", hash = "sha256:e00e29e24676c4808e0b4333b37bb55cca9cbb7871a56f63058509281588d789"},
]

[[package]]
name = "certifi"
version = "2023.11.17"
requires_python = ">=3.6"
summary = "Python package for providing Mozilla's CA Bundle."
files = [
    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
]

[[package]]
name = "charset-normalizer"
version = "3.3.2"
requires_python = ">=3.7.0"
summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
files = [
    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
    {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
    {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
    {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
    {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
]

[[package]]
name = "click"
version = "8.1.7"
requires_python = ">=3.7"
summary = "Composable command line interface toolkit"
dependencies = [
    "colorama; platform_system == \"Windows\"",
]
files = [
    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
]

[[package]]
name = "colorama"
version = "0.4.6"
requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
summary = "Cross-platform colored terminal text."
files = [
    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]

[[package]]
name = "cython"
version = "0.29.37"
requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
summary = "The Cython compiler for writing C extensions for the Python language."
files = [
    {file = "Cython-0.29.37-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d"},
    {file = "Cython-0.29.37-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6"},
    {file = "Cython-0.29.37-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52"},
    {file = "Cython-0.29.37-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6"},
    {file = "Cython-0.29.37-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776"},
    {file = "Cython-0.29.37-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba"},
    {file = "Cython-0.29.37-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e"},
    {file = "Cython-0.29.37-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297"},
    {file = "Cython-0.29.37-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d"},
    {file = "Cython-0.29.37-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d"},
    {file = "Cython-0.29.37-py2.py3-none-any.whl", hash = "sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c"},
    {file = "Cython-0.29.37.tar.gz", hash = "sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb"},
]

[[package]]
name = "feedparser"
version = "6.0.11"
requires_python = ">=3.6"
summary = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
dependencies = [
    "sgmllib3k",
]
files = [
    {file = "feedparser-6.0.11-py3-none-any.whl", hash = "sha256:0be7ee7b395572b19ebeb1d6aafb0028dee11169f1c934e0ed67d54992f4ad45"},
    {file = "feedparser-6.0.11.tar.gz", hash = "sha256:c9d0407b64c6f2a065d0ebb292c2b35c01050cc0dc33757461aaabdc4c4184d5"},
]

[[package]]
name = "filelock"
version = "3.13.1"
requires_python = ">=3.8"
summary = "A platform independent file lock."
files = [
    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
]

[[package]]
name = "fsspec"
version = "2023.12.2"
requires_python = ">=3.8"
summary = "File-system specification"
files = [
    {file = "fsspec-2023.12.2-py3-none-any.whl", hash = "sha256:d800d87f72189a745fa3d6b033b9dc4a34ad069f60ca60b943a63599f5501960"},
    {file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
]

[[package]]
name = "hdbscan"
version = "0.8.33"
summary = "Clustering based on density with variable density clusters"
dependencies = [
    "cython<3,>=0.27",
    "joblib>=1.0",
    "numpy>=1.20",
    "scikit-learn>=0.20",
    "scipy>=1.0",
]
files = [
    {file = "hdbscan-0.8.33.tar.gz", hash = "sha256:57fabc5f0e45f48d2407b35c731192abc896376411fe7e4bb836ffa03d38f90d"},
]

[[package]]
name = "huggingface-hub"
version = "0.20.1"
requires_python = ">=3.8.0"
summary = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
dependencies = [
    "filelock",
    "fsspec>=2023.5.0",
    "packaging>=20.9",
    "pyyaml>=5.1",
    "requests",
    "tqdm>=4.42.1",
    "typing-extensions>=3.7.4.3",
]
files = [
    {file = "huggingface_hub-0.20.1-py3-none-any.whl", hash = "sha256:ecfdea395a8bc68cd160106c5bd857f7e010768d95f9e1862a779010cc304831"},
    {file = "huggingface_hub-0.20.1.tar.gz", hash = "sha256:8c88c4c3c8853e22f2dfb4d84c3d493f4e1af52fb3856a90e1eeddcf191ddbb1"},
]

[[package]]
name = "idna"
version = "3.6"
requires_python = ">=3.5"
summary = "Internationalized Domain Names in Applications (IDNA)"
files = [
    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
]

[[package]]
name = "jinja2"
version = "3.1.2"
requires_python = ">=3.7"
summary = "A very fast and expressive template engine."
dependencies = [
    "MarkupSafe>=2.0",
]
files = [
    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
]

[[package]]
name = "joblib"
version = "1.3.2"
requires_python = ">=3.7"
summary = "Lightweight pipelining with Python functions"
files = [
    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
]

[[package]]
name = "llvmlite"
version = "0.41.1"
requires_python = ">=3.8"
summary = "lightweight wrapper around basic LLVM functionality"
files = [
    {file = "llvmlite-0.41.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c1e1029d47ee66d3a0c4d6088641882f75b93db82bd0e6178f7bd744ebce42b9"},
    {file = "llvmlite-0.41.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:150d0bc275a8ac664a705135e639178883293cf08c1a38de3bbaa2f693a0a867"},
    {file = "llvmlite-0.41.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1eee5cf17ec2b4198b509272cf300ee6577229d237c98cc6e63861b08463ddc6"},
    {file = "llvmlite-0.41.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dd0338da625346538f1173a17cabf21d1e315cf387ca21b294ff209d176e244"},
    {file = "llvmlite-0.41.1-cp310-cp310-win32.whl", hash = "sha256:fa1469901a2e100c17eb8fe2678e34bd4255a3576d1a543421356e9c14d6e2ae"},
    {file = "llvmlite-0.41.1-cp310-cp310-win_amd64.whl", hash = "sha256:2b76acee82ea0e9304be6be9d4b3840208d050ea0dcad75b1635fa06e949a0ae"},
    {file = "llvmlite-0.41.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:210e458723436b2469d61b54b453474e09e12a94453c97ea3fbb0742ba5a83d8"},
    {file = "llvmlite-0.41.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:855f280e781d49e0640aef4c4af586831ade8f1a6c4df483fb901cbe1a48d127"},
    {file = "llvmlite-0.41.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b67340c62c93a11fae482910dc29163a50dff3dfa88bc874872d28ee604a83be"},
    {file = "llvmlite-0.41.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2181bb63ef3c607e6403813421b46982c3ac6bfc1f11fa16a13eaafb46f578e6"},
    {file = "llvmlite-0.41.1-cp311-cp311-win_amd64.whl", hash = "sha256:9564c19b31a0434f01d2025b06b44c7ed422f51e719ab5d24ff03b7560066c9a"},
    {file = "llvmlite-0.41.1.tar.gz", hash = "sha256:f19f767a018e6ec89608e1f6b13348fa2fcde657151137cb64e56d48598a92db"},
]

[[package]]
name = "markupsafe"
version = "2.1.3"
requires_python = ">=3.7"
summary = "Safely add untrusted strings to HTML/XML markup."
files = [
    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-win32.whl", hash = "sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431"},
    {file = "MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
    {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
    {file = "MarkupSafe-2.1.3.tar.gz", hash = "sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad"},
]

[[package]]
name = "mpmath"
version = "1.3.0"
summary = "Python library for arbitrary-precision floating-point arithmetic"
files = [
    {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
]

[[package]]
name = "networkx"
version = "3.2.1"
requires_python = ">=3.9"
summary = "Python package for creating and manipulating graphs and networks"
files = [
    {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
    {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
]

[[package]]
name = "nltk"
version = "3.8.1"
requires_python = ">=3.7"
summary = "Natural Language Toolkit"
dependencies = [
    "click",
    "joblib",
    "regex>=2021.8.3",
    "tqdm",
]
files = [
    {file = "nltk-3.8.1-py3-none-any.whl", hash = "sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5"},
    {file = "nltk-3.8.1.zip", hash = "sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3"},
]

[[package]]
name = "numba"
version = "0.58.1"
requires_python = ">=3.8"
summary = "compiling Python code using LLVM"
dependencies = [
    "llvmlite<0.42,>=0.41.0dev0",
    "numpy<1.27,>=1.22",
]
files = [
    {file = "numba-0.58.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:07f2fa7e7144aa6f275f27260e73ce0d808d3c62b30cff8906ad1dec12d87bbe"},
    {file = "numba-0.58.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7bf1ddd4f7b9c2306de0384bf3854cac3edd7b4d8dffae2ec1b925e4c436233f"},
    {file = "numba-0.58.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bc2d904d0319d7a5857bd65062340bed627f5bfe9ae4a495aef342f072880d50"},
    {file = "numba-0.58.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4e79b6cc0d2bf064a955934a2e02bf676bc7995ab2db929dbbc62e4c16551be6"},
    {file = "numba-0.58.1-cp310-cp310-win_amd64.whl", hash = "sha256:81fe5b51532478149b5081311b0fd4206959174e660c372b94ed5364cfb37c82"},
    {file = "numba-0.58.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bcecd3fb9df36554b342140a4d77d938a549be635d64caf8bd9ef6c47a47f8aa"},
    {file = "numba-0.58.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a1eaa744f518bbd60e1f7ccddfb8002b3d06bd865b94a5d7eac25028efe0e0ff"},
    {file = "numba-0.58.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bf68df9c307fb0aa81cacd33faccd6e419496fdc621e83f1efce35cdc5e79cac"},
    {file = "numba-0.58.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:55a01e1881120e86d54efdff1be08381886fe9f04fc3006af309c602a72bc44d"},
    {file = "numba-0.58.1-cp311-cp311-win_amd64.whl", hash = "sha256:811305d5dc40ae43c3ace5b192c670c358a89a4d2ae4f86d1665003798ea7a1a"},
    {file = "numba-0.58.1.tar.gz", hash = "sha256:487ded0633efccd9ca3a46364b40006dbdaca0f95e99b8b83e778d1195ebcbaa"},
]

[[package]]
name = "numpy"
version = "1.26.2"
requires_python = ">=3.9"
summary = "Fundamental package for array computing in Python"
files = [
    {file = "numpy-1.26.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3703fc9258a4a122d17043e57b35e5ef1c5a5837c3db8be396c82e04c1cf9b0f"},
    {file = "numpy-1.26.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cc392fdcbd21d4be6ae1bb4475a03ce3b025cd49a9be5345d76d7585aea69440"},
    {file = "numpy-1.26.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36340109af8da8805d8851ef1d74761b3b88e81a9bd80b290bbfed61bd2b4f75"},
    {file = "numpy-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcc008217145b3d77abd3e4d5ef586e3bdfba8fe17940769f8aa09b99e856c00"},
    {file = "numpy-1.26.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3ced40d4e9e18242f70dd02d739e44698df3dcb010d31f495ff00a31ef6014fe"},
    {file = "numpy-1.26.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b272d4cecc32c9e19911891446b72e986157e6a1809b7b56518b4f3755267523"},
    {file = "numpy-1.26.2-cp310-cp310-win32.whl", hash = "sha256:22f8fc02fdbc829e7a8c578dd8d2e15a9074b630d4da29cda483337e300e3ee9"},
    {file = "numpy-1.26.2-cp310-cp310-win_amd64.whl", hash = "sha256:26c9d33f8e8b846d5a65dd068c14e04018d05533b348d9eaeef6c1bd787f9919"},
    {file = "numpy-1.26.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b96e7b9c624ef3ae2ae0e04fa9b460f6b9f17ad8b4bec6d7756510f1f6c0c841"},
    {file = "numpy-1.26.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:aa18428111fb9a591d7a9cc1b48150097ba6a7e8299fb56bdf574df650e7d1f1"},
    {file = "numpy-1.26.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:06fa1ed84aa60ea6ef9f91ba57b5ed963c3729534e6e54055fc151fad0423f0a"},
    {file = "numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96ca5482c3dbdd051bcd1fce8034603d6ebfc125a7bd59f55b40d8f5d246832b"},
    {file = "numpy-1.26.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:854ab91a2906ef29dc3925a064fcd365c7b4da743f84b123002f6139bcb3f8a7"},
    {file = "numpy-1.26.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f43740ab089277d403aa07567be138fc2a89d4d9892d113b76153e0e412409f8"},
    {file = "numpy-1.26.2-cp311-cp311-win32.whl", hash = "sha256:a2bbc29fcb1771cd7b7425f98b05307776a6baf43035d3b80c4b0f29e9545186"},
    {file = "numpy-1.26.2-cp311-cp311-win_amd64.whl", hash = "sha256:2b3fca8a5b00184828d12b073af4d0fc5fdd94b1632c2477526f6bd7842d700d"},
    {file = "numpy-1.26.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a4cd6ed4a339c21f1d1b0fdf13426cb3b284555c27ac2f156dfdaaa7e16bfab0"},
    {file = "numpy-1.26.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5d5244aabd6ed7f312268b9247be47343a654ebea52a60f002dc70c769048e75"},
    {file = "numpy-1.26.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a3cdb4d9c70e6b8c0814239ead47da00934666f668426fc6e94cce869e13fd7"},
    {file = "numpy-1.26.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa317b2325f7aa0a9471663e6093c210cb2ae9c0ad824732b307d2c51983d5b6"},
    {file = "numpy-1.26.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:174a8880739c16c925799c018f3f55b8130c1f7c8e75ab0a6fa9d41cab092fd6"},
    {file = "numpy-1.26.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f79b231bf5c16b1f39c7f4875e1ded36abee1591e98742b05d8a0fb55d8a3eec"},
    {file = "numpy-1.26.2-cp312-cp312-win32.whl", hash = "sha256:4a06263321dfd3598cacb252f51e521a8cb4b6df471bb12a7ee5cbab20ea9167"},
    {file = "numpy-1.26.2-cp312-cp312-win_amd64.whl", hash = "sha256:b04f5dc6b3efdaab541f7857351aac359e6ae3c126e2edb376929bd3b7f92d7e"},
    {file = "numpy-1.26.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1cc3d5029a30fb5f06704ad6b23b35e11309491c999838c31f124fee32107c79"},
    {file = "numpy-1.26.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94cc3c222bb9fb5a12e334d0479b97bb2df446fbe622b470928f5284ffca3f8d"},
    {file = "numpy-1.26.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fe6b44fb8fcdf7eda4ef4461b97b3f63c466b27ab151bec2366db8b197387841"},
    {file = "numpy-1.26.2.tar.gz", hash = "sha256:f65738447676ab5777f11e6bbbdb8ce11b785e105f690bc45966574816b6d3ea"},
]

[[package]]
name = "nvidia-cublas-cu12"
version = "12.1.3.1"
requires_python = ">=3"
summary = "CUBLAS native runtime libraries"
files = [
    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
]

[[package]]
name = "nvidia-cuda-cupti-cu12"
version = "12.1.105"
requires_python = ">=3"
summary = "CUDA profiling tools runtime libs."
files = [
    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
]

[[package]]
name = "nvidia-cuda-nvrtc-cu12"
version = "12.1.105"
requires_python = ">=3"
summary = "NVRTC native runtime libraries"
files = [
    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
]

[[package]]
name = "nvidia-cuda-runtime-cu12"
version = "12.1.105"
requires_python = ">=3"
summary = "CUDA Runtime native Libraries"
files = [
    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
]

[[package]]
name = "nvidia-cudnn-cu12"
version = "8.9.2.26"
requires_python = ">=3"
summary = "cuDNN runtime libraries"
dependencies = [
    "nvidia-cublas-cu12",
]
files = [
    {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
]

[[package]]
name = "nvidia-cufft-cu12"
version = "11.0.2.54"
requires_python = ">=3"
summary = "CUFFT native runtime libraries"
files = [
    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
]

[[package]]
name = "nvidia-curand-cu12"
version = "10.3.2.106"
requires_python = ">=3"
summary = "CURAND native runtime libraries"
files = [
    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
]

[[package]]
name = "nvidia-cusolver-cu12"
version = "11.4.5.107"
requires_python = ">=3"
summary = "CUDA solver native runtime libraries"
dependencies = [
    "nvidia-cublas-cu12",
    "nvidia-cusparse-cu12",
    "nvidia-nvjitlink-cu12",
]
files = [
    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
]

[[package]]
name = "nvidia-cusparse-cu12"
version = "12.1.0.106"
requires_python = ">=3"
summary = "CUSPARSE native runtime libraries"
dependencies = [
    "nvidia-nvjitlink-cu12",
]
files = [
    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
]

[[package]]
name = "nvidia-nccl-cu12"
version = "2.18.1"
requires_python = ">=3"
summary = "NVIDIA Collective Communication Library (NCCL) Runtime"
files = [
    {file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
]

[[package]]
name = "nvidia-nvjitlink-cu12"
version = "12.3.101"
requires_python = ">=3"
summary = "Nvidia JIT LTO Library"
files = [
    {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"},
    {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-win_amd64.whl", hash = "sha256:1b2e317e437433753530792f13eece58f0aec21a2b05903be7bffe58a606cbd1"},
]

[[package]]
name = "nvidia-nvtx-cu12"
version = "12.1.105"
requires_python = ">=3"
summary = "NVIDIA Tools Extension"
files = [
    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
]

[[package]]
name = "packaging"
version = "23.2"
requires_python = ">=3.7"
summary = "Core utilities for Python packages"
files = [
    {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
    {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
]

[[package]]
name = "pandas"
version = "2.1.4"
requires_python = ">=3.9"
summary = "Powerful data structures for data analysis, time series, and statistics"
dependencies = [
    "numpy<2,>=1.22.4; python_version < \"3.11\"",
    "numpy<2,>=1.23.2; python_version == \"3.11\"",
    "numpy<2,>=1.26.0; python_version >= \"3.12\"",
    "python-dateutil>=2.8.2",
    "pytz>=2020.1",
    "tzdata>=2022.1",
]
files = [
    {file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"},
    {file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"},
    {file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b728fb8deba8905b319f96447a27033969f3ea1fea09d07d296c9030ab2ed1d"},
    {file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00028e6737c594feac3c2df15636d73ace46b8314d236100b57ed7e4b9ebe8d9"},
    {file = "pandas-2.1.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:426dc0f1b187523c4db06f96fb5c8d1a845e259c99bda74f7de97bd8a3bb3139"},
    {file = "pandas-2.1.4-cp310-cp310-win_amd64.whl", hash = "sha256:f237e6ca6421265643608813ce9793610ad09b40154a3344a088159590469e46"},
    {file = "pandas-2.1.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b7d852d16c270e4331f6f59b3e9aa23f935f5c4b0ed2d0bc77637a8890a5d092"},
    {file = "pandas-2.1.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bd7d5f2f54f78164b3d7a40f33bf79a74cdee72c31affec86bfcabe7e0789821"},
    {file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0aa6e92e639da0d6e2017d9ccff563222f4eb31e4b2c3cf32a2a392fc3103c0d"},
    {file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d797591b6846b9db79e65dc2d0d48e61f7db8d10b2a9480b4e3faaddc421a171"},
    {file = "pandas-2.1.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d2d3e7b00f703aea3945995ee63375c61b2e6aa5aa7871c5d622870e5e137623"},
    {file = "pandas-2.1.4-cp311-cp311-win_amd64.whl", hash = "sha256:dc9bf7ade01143cddc0074aa6995edd05323974e6e40d9dbde081021ded8510e"},
    {file = "pandas-2.1.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:482d5076e1791777e1571f2e2d789e940dedd927325cc3cb6d0800c6304082f6"},
    {file = "pandas-2.1.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8a706cfe7955c4ca59af8c7a0517370eafbd98593155b48f10f9811da440248b"},
    {file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0513a132a15977b4a5b89aabd304647919bc2169eac4c8536afb29c07c23540"},
    {file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9f17f2b6fc076b2a0078862547595d66244db0f41bf79fc5f64a5c4d635bead"},
    {file = "pandas-2.1.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:45d63d2a9b1b37fa6c84a68ba2422dc9ed018bdaa668c7f47566a01188ceeec1"},
    {file = "pandas-2.1.4-cp312-cp312-win_amd64.whl", hash = "sha256:f69b0c9bb174a2342818d3e2778584e18c740d56857fc5cdb944ec8bbe4082cf"},
    {file = "pandas-2.1.4.tar.gz", hash = "sha256:fcb68203c833cc735321512e13861358079a96c174a61f5116a1de89c58c0ef7"},
]

[[package]]
name = "pillow"
version = "10.1.0"
requires_python = ">=3.8"
summary = "Python Imaging Library (Fork)"
files = [
    {file = "Pillow-10.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1ab05f3db77e98f93964697c8efc49c7954b08dd61cff526b7f2531a22410106"},
    {file = "Pillow-10.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6932a7652464746fcb484f7fc3618e6503d2066d853f68a4bd97193a3996e273"},
    {file = "Pillow-10.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f63b5a68daedc54c7c3464508d8c12075e56dcfbd42f8c1bf40169061ae666"},
    {file = "Pillow-10.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0949b55eb607898e28eaccb525ab104b2d86542a85c74baf3a6dc24002edec2"},
    {file = "Pillow-10.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ae88931f93214777c7a3aa0a8f92a683f83ecde27f65a45f95f22d289a69e593"},
    {file = "Pillow-10.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b0eb01ca85b2361b09480784a7931fc648ed8b7836f01fb9241141b968feb1db"},
    {file = "Pillow-10.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d27b5997bdd2eb9fb199982bb7eb6164db0426904020dc38c10203187ae2ff2f"},
    {file = "Pillow-10.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7df5608bc38bd37ef585ae9c38c9cd46d7c81498f086915b0f97255ea60c2818"},
    {file = "Pillow-10.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:41f67248d92a5e0a2076d3517d8d4b1e41a97e2df10eb8f93106c89107f38b57"},
    {file = "Pillow-10.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:1fb29c07478e6c06a46b867e43b0bcdb241b44cc52be9bc25ce5944eed4648e7"},
    {file = "Pillow-10.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2cdc65a46e74514ce742c2013cd4a2d12e8553e3a2563c64879f7c7e4d28bce7"},
    {file = "Pillow-10.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50d08cd0a2ecd2a8657bd3d82c71efd5a58edb04d9308185d66c3a5a5bed9610"},
    {file = "Pillow-10.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:062a1610e3bc258bff2328ec43f34244fcec972ee0717200cb1425214fe5b839"},
    {file = "Pillow-10.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:61f1a9d247317fa08a308daaa8ee7b3f760ab1809ca2da14ecc88ae4257d6172"},
    {file = "Pillow-10.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a646e48de237d860c36e0db37ecaecaa3619e6f3e9d5319e527ccbc8151df061"},
    {file = "Pillow-10.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:47e5bf85b80abc03be7455c95b6d6e4896a62f6541c1f2ce77a7d2bb832af262"},
    {file = "Pillow-10.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a92386125e9ee90381c3369f57a2a50fa9e6aa8b1cf1d9c4b200d41a7dd8e992"},
    {file = "Pillow-10.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0f7c276c05a9767e877a0b4c5050c8bee6a6d960d7f0c11ebda6b99746068c2a"},
    {file = "Pillow-10.1.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:a89b8312d51715b510a4fe9fc13686283f376cfd5abca8cd1c65e4c76e21081b"},
    {file = "Pillow-10.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:00f438bb841382b15d7deb9a05cc946ee0f2c352653c7aa659e75e592f6fa17d"},
    {file = "Pillow-10.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d929a19f5469b3f4df33a3df2983db070ebb2088a1e145e18facbc28cae5b27"},
    {file = "Pillow-10.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a92109192b360634a4489c0c756364c0c3a2992906752165ecb50544c251312"},
    {file = "Pillow-10.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:0248f86b3ea061e67817c47ecbe82c23f9dd5d5226200eb9090b3873d3ca32de"},
    {file = "Pillow-10.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:9882a7451c680c12f232a422730f986a1fcd808da0fd428f08b671237237d651"},
    {file = "Pillow-10.1.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1c3ac5423c8c1da5928aa12c6e258921956757d976405e9467c5f39d1d577a4b"},
    {file = "Pillow-10.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:806abdd8249ba3953c33742506fe414880bad78ac25cc9a9b1c6ae97bedd573f"},
    {file = "Pillow-10.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:eaed6977fa73408b7b8a24e8b14e59e1668cfc0f4c40193ea7ced8e210adf996"},
    {file = "Pillow-10.1.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:937bdc5a7f5343d1c97dc98149a0be7eb9704e937fe3dc7140e229ae4fc572a7"},
    {file = "Pillow-10.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1c25762197144e211efb5f4e8ad656f36c8d214d390585d1d21281f46d556ba"},
    {file = "Pillow-10.1.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:afc8eef765d948543a4775f00b7b8c079b3321d6b675dde0d02afa2ee23000b4"},
    {file = "Pillow-10.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:883f216eac8712b83a63f41b76ddfb7b2afab1b74abbb413c5df6680f071a6b9"},
    {file = "Pillow-10.1.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:b920e4d028f6442bea9a75b7491c063f0b9a3972520731ed26c83e254302eb1e"},
    {file = "Pillow-10.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c41d960babf951e01a49c9746f92c5a7e0d939d1652d7ba30f6b3090f27e412"},
    {file = "Pillow-10.1.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1fafabe50a6977ac70dfe829b2d5735fd54e190ab55259ec8aea4aaea412fa0b"},
    {file = "Pillow-10.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:3b834f4b16173e5b92ab6566f0473bfb09f939ba14b23b8da1f54fa63e4b623f"},
    {file = "Pillow-10.1.0.tar.gz", hash = "sha256:e6bf8de6c36ed96c86ea3b6e1d5273c53f46ef518a062464cd7ef5dd2cf92e38"},
]

[[package]]
name = "plotly"
version = "5.18.0"
requires_python = ">=3.6"
summary = "An open-source, interactive data visualization library for Python"
dependencies = [
    "packaging",
    "tenacity>=6.2.0",
]
files = [
    {file = "plotly-5.18.0-py3-none-any.whl", hash = "sha256:23aa8ea2f4fb364a20d34ad38235524bd9d691bf5299e800bca608c31e8db8de"},
    {file = "plotly-5.18.0.tar.gz", hash = "sha256:360a31e6fbb49d12b007036eb6929521343d6bee2236f8459915821baefa2cbb"},
]

[[package]]
name = "pynndescent"
version = "0.5.11"
summary = "Nearest Neighbor Descent"
dependencies = [
    "joblib>=0.11",
    "llvmlite>=0.30",
    "numba>=0.51.2",
    "scikit-learn>=0.18",
    "scipy>=1.0",
]
files = [
    {file = "pynndescent-0.5.11-py3-none-any.whl", hash = "sha256:a628f4fc8a67757c8fa15613449ac513fd056258a55b4084e47c06640ec90a8d"},
    {file = "pynndescent-0.5.11.tar.gz", hash = "sha256:6f44ced9d5a9da2c87d9b2fff30bb5308540c0657605e4d5cde7ed3275bbad50"},
]

[[package]]
name = "pyparsing"
version = "3.1.1"
requires_python = ">=3.6.8"
summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
files = [
    {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
    {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
]

[[package]]
name = "python-dateutil"
version = "2.8.2"
requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
summary = "Extensions to the standard Python datetime module"
dependencies = [
    "six>=1.5",
]
files = [
    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]

[[package]]
name = "python-dotenv"
version = "1.0.0"
requires_python = ">=3.8"
summary = "Read key-value pairs from a .env file and set them as environment variables"
files = [
    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
]

[[package]]
name = "pytz"
version = "2023.3.post1"
summary = "World timezone definitions, modern and historical"
files = [
    {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
]

[[package]]
name = "pyyaml"
version = "6.0.1"
requires_python = ">=3.6"
summary = "YAML parser and emitter for Python"
files = [
    {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
    {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
    {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
    {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
    {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
    {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
    {file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"},
    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
    {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
    {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
    {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
    {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
    {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
    {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
    {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
    {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
    {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
]

[[package]]
name = "pyzotero"
version = "1.5.18"
requires_python = ">=3.8"
summary = "Python wrapper for the Zotero API"
dependencies = [
    "bibtexparser",
    "feedparser>=6",
    "pytz",
    "requests>=2.21.0",
]
files = [
    {file = "pyzotero-1.5.18-py3-none-any.whl", hash = "sha256:c5d461022b00419ea822bad7c9886a6a2770aad49bff607f80e64e81b68212b3"},
    {file = "pyzotero-1.5.18.tar.gz", hash = "sha256:42cecd858703bab49ee92b68ccd1b1d1cbbf85d3f9c889963f352badf8f1a42f"},
]

[[package]]
name = "regex"
version = "2023.10.3"
requires_python = ">=3.7"
summary = "Alternative regular expression module, to replace re."
files = [
    {file = "regex-2023.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4c34d4f73ea738223a094d8e0ffd6d2c1a1b4c175da34d6b0de3d8d69bee6bcc"},
    {file = "regex-2023.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a8f4e49fc3ce020f65411432183e6775f24e02dff617281094ba6ab079ef0915"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4cd1bccf99d3ef1ab6ba835308ad85be040e6a11b0977ef7ea8c8005f01a3c29"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:81dce2ddc9f6e8f543d94b05d56e70d03a0774d32f6cca53e978dc01e4fc75b8"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c6b4d23c04831e3ab61717a707a5d763b300213db49ca680edf8bf13ab5d91b"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c15ad0aee158a15e17e0495e1e18741573d04eb6da06d8b84af726cfc1ed02ee"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6239d4e2e0b52c8bd38c51b760cd870069f0bdf99700a62cd509d7a031749a55"},
    {file = "regex-2023.10.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4a8bf76e3182797c6b1afa5b822d1d5802ff30284abe4599e1247be4fd6b03be"},
    {file = "regex-2023.10.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d9c727bbcf0065cbb20f39d2b4f932f8fa1631c3e01fcedc979bd4f51fe051c5"},
    {file = "regex-2023.10.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:3ccf2716add72f80714b9a63899b67fa711b654be3fcdd34fa391d2d274ce767"},
    {file = "regex-2023.10.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:107ac60d1bfdc3edb53be75e2a52aff7481b92817cfdddd9b4519ccf0e54a6ff"},
    {file = "regex-2023.10.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:00ba3c9818e33f1fa974693fb55d24cdc8ebafcb2e4207680669d8f8d7cca79a"},
    {file = "regex-2023.10.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f0a47efb1dbef13af9c9a54a94a0b814902e547b7f21acb29434504d18f36e3a"},
    {file = "regex-2023.10.3-cp310-cp310-win32.whl", hash = "sha256:36362386b813fa6c9146da6149a001b7bd063dabc4d49522a1f7aa65b725c7ec"},
    {file = "regex-2023.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:c65a3b5330b54103e7d21cac3f6bf3900d46f6d50138d73343d9e5b2900b2353"},
    {file = "regex-2023.10.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:90a79bce019c442604662d17bf69df99090e24cdc6ad95b18b6725c2988a490e"},
    {file = "regex-2023.10.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c7964c2183c3e6cce3f497e3a9f49d182e969f2dc3aeeadfa18945ff7bdd7051"},
    {file = "regex-2023.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ef80829117a8061f974b2fda8ec799717242353bff55f8a29411794d635d964"},
    {file = "regex-2023.10.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5addc9d0209a9afca5fc070f93b726bf7003bd63a427f65ef797a931782e7edc"},
    {file = "regex-2023.10.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c148bec483cc4b421562b4bcedb8e28a3b84fcc8f0aa4418e10898f3c2c0eb9b"},
    {file = "regex-2023.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d1f21af4c1539051049796a0f50aa342f9a27cde57318f2fc41ed50b0dbc4ac"},
    {file = "regex-2023.10.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0b9ac09853b2a3e0d0082104036579809679e7715671cfbf89d83c1cb2a30f58"},
    {file = "regex-2023.10.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ebedc192abbc7fd13c5ee800e83a6df252bec691eb2c4bedc9f8b2e2903f5e2a"},
    {file = "regex-2023.10.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d8a993c0a0ffd5f2d3bda23d0cd75e7086736f8f8268de8a82fbc4bd0ac6791e"},
    {file = "regex-2023.10.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:be6b7b8d42d3090b6c80793524fa66c57ad7ee3fe9722b258aec6d0672543fd0"},
    {file = "regex-2023.10.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4023e2efc35a30e66e938de5aef42b520c20e7eda7bb5fb12c35e5d09a4c43f6"},
    {file = "regex-2023.10.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0d47840dc05e0ba04fe2e26f15126de7c755496d5a8aae4a08bda4dd8d646c54"},
    {file = "regex-2023.10.3-cp311-cp311-win32.whl", hash = "sha256:9145f092b5d1977ec8c0ab46e7b3381b2fd069957b9862a43bd383e5c01d18c2"},
    {file = "regex-2023.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:b6104f9a46bd8743e4f738afef69b153c4b8b592d35ae46db07fc28ae3d5fb7c"},
    {file = "regex-2023.10.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:bff507ae210371d4b1fe316d03433ac099f184d570a1a611e541923f78f05037"},
    {file = "regex-2023.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be5e22bbb67924dea15039c3282fa4cc6cdfbe0cbbd1c0515f9223186fc2ec5f"},
    {file = "regex-2023.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a992f702c9be9c72fa46f01ca6e18d131906a7180950958f766c2aa294d4b41"},
    {file = "regex-2023.10.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7434a61b158be563c1362d9071358f8ab91b8d928728cd2882af060481244c9e"},
    {file = "regex-2023.10.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2169b2dcabf4e608416f7f9468737583ce5f0a6e8677c4efbf795ce81109d7c"},
    {file = "regex-2023.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9e908ef5889cda4de038892b9accc36d33d72fb3e12c747e2799a0e806ec841"},
    {file = "regex-2023.10.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:12bd4bc2c632742c7ce20db48e0d99afdc05e03f0b4c1af90542e05b809a03d9"},
    {file = "regex-2023.10.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bc72c231f5449d86d6c7d9cc7cd819b6eb30134bb770b8cfdc0765e48ef9c420"},
    {file = "regex-2023.10.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bce8814b076f0ce5766dc87d5a056b0e9437b8e0cd351b9a6c4e1134a7dfbda9"},
    {file = "regex-2023.10.3-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:ba7cd6dc4d585ea544c1412019921570ebd8a597fabf475acc4528210d7c4a6f"},
    {file = "regex-2023.10.3-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b0c7d2f698e83f15228ba41c135501cfe7d5740181d5903e250e47f617eb4292"},
    {file = "regex-2023.10.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5a8f91c64f390ecee09ff793319f30a0f32492e99f5dc1c72bc361f23ccd0a9a"},
    {file = "regex-2023.10.3-cp312-cp312-win32.whl", hash = "sha256:ad08a69728ff3c79866d729b095872afe1e0557251da4abb2c5faff15a91d19a"},
    {file = "regex-2023.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:39cdf8d141d6d44e8d5a12a8569d5a227f645c87df4f92179bd06e2e2705e76b"},
    {file = "regex-2023.10.3.tar.gz", hash = "sha256:3fef4f844d2290ee0ba57addcec17eec9e3df73f10a2748485dfd6a3a188cc0f"},
]

[[package]]
name = "requests"
version = "2.31.0"
requires_python = ">=3.7"
summary = "Python HTTP for Humans."
dependencies = [
    "certifi>=2017.4.17",
    "charset-normalizer<4,>=2",
    "idna<4,>=2.5",
    "urllib3<3,>=1.21.1",
]
files = [
    {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
    {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
]

[[package]]
name = "safetensors"
version = "0.4.1"
requires_python = ">=3.7"
summary = ""
files = [
    {file = "safetensors-0.4.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:cba01c6b76e01ec453933b3b3c0157c59b52881c83eaa0f7666244e71aa75fd1"},
    {file = "safetensors-0.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a8f6f679d97ea0135c7935c202feefbd042c149aa70ee759855e890c01c7814"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bbc2ce1f5ae5143a7fb72b71fa71db6a42b4f6cf912aa3acdc6b914084778e68"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2d87d993eaefe6611a9c241a8bd364a5f1ffed5771c74840363a6c4ed8d868f6"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:097e9af2efa8778cd2f0cba451784253e62fa7cc9fc73c0744d27212f7294e25"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d10a9f7bae608ccfdc009351f01dc3d8535ff57f9488a58a4c38e45bf954fe93"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:270b99885ec14abfd56c1d7f28ada81740a9220b4bae960c3de1c6fe84af9e4d"},
    {file = "safetensors-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:285b52a481e7ba93e29ad4ec5841ef2c4479ef0a6c633c4e2629e0508453577b"},
    {file = "safetensors-0.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c3c9f0ca510e0de95abd6424789dcbc879942a3a4e29b0dfa99d9427bf1da75c"},
    {file = "safetensors-0.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:88b4653059c903015284a9722f9a46838c654257173b279c8f6f46dbe80b612d"},
    {file = "safetensors-0.4.1-cp310-none-win32.whl", hash = "sha256:2fe6926110e3d425c4b684a4379b7796fdc26ad7d16922ea1696c8e6ea7e920f"},
    {file = "safetensors-0.4.1-cp310-none-win_amd64.whl", hash = "sha256:a79e16222106b2f5edbca1b8185661477d8971b659a3c814cc6f15181a9b34c8"},
    {file = "safetensors-0.4.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:d93321eea0dd7e81b283e47a1d20dee6069165cc158286316d0d06d340de8fe8"},
    {file = "safetensors-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ff8e41c8037db17de0ea2a23bc684f43eaf623be7d34906fe1ac10985b8365e"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39d36f1d88468a87c437a1bc27c502e71b6ca44c385a9117a9f9ba03a75cc9c6"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7ef010e9afcb4057fb6be3d0a0cfa07aac04fe97ef73fe4a23138d8522ba7c17"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b287304f2b2220d51ccb51fd857761e78bcffbeabe7b0238f8dc36f2edfd9542"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e09000b2599e1836314430f81a3884c66a5cbabdff5d9f175b5d560d4de38d78"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9c80ce0001efa16066358d2dd77993adc25f5a6c61850e4ad096a2232930bce"},
    {file = "safetensors-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:413e1f6ac248f7d1b755199a06635e70c3515493d3b41ba46063dec33aa2ebb7"},
    {file = "safetensors-0.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d3ac139377cfe71ba04573f1cda66e663b7c3e95be850e9e6c2dd4b5984bd513"},
    {file = "safetensors-0.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:04157d008385bea66d12fe90844a80d4a76dc25ec5230b5bd9a630496d1b7c03"},
    {file = "safetensors-0.4.1-cp311-none-win32.whl", hash = "sha256:5f25297148ec665f0deb8bd67e9564634d8d6841041ab5393ccfe203379ea88b"},
    {file = "safetensors-0.4.1-cp311-none-win_amd64.whl", hash = "sha256:b2f8877990a72ff595507b80f4b69036a9a1986a641f8681adf3425d97d3d2a5"},
    {file = "safetensors-0.4.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:eb2c1da1cc39509d1a55620a5f4d14f8911c47a89c926a96e6f4876e864375a3"},
    {file = "safetensors-0.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:303d2c0415cf15a28f8d7f17379ea3c34c2b466119118a34edd9965983a1a8a6"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb4cb3e37a9b961ddd68e873b29fe9ab4a081e3703412e34aedd2b7a8e9cafd9"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ae5497adc68669db2fed7cb2dad81e6a6106e79c9a132da3efdb6af1db1014fa"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b30abd0cddfe959d1daedf92edcd1b445521ebf7ddefc20860ed01486b33c90"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d784a98c492c751f228a4a894c3b8a092ff08b24e73b5568938c28b8c0e8f8df"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e57a5ab08b0ec7a7caf30d2ac79bb30c89168431aca4f8854464bb9461686925"},
    {file = "safetensors-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:edcf3121890b5f0616aa5a54683b1a5d2332037b970e507d6bb7841a3a596556"},
    {file = "safetensors-0.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fdb58dee173ef33634c3016c459d671ca12d11e6acf9db008261cbe58107e579"},
    {file = "safetensors-0.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:780dc21eb3fd32ddd0e8c904bdb0290f2454f4ac21ae71e94f9ce72db1900a5a"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:ae2d5a31cfb8a973a318f7c4d2cffe0bd1fe753cdf7bb41a1939d45a0a06f964"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1a45dbf03e8334d3a5dc93687d98b6dc422f5d04c7d519dac09b84a3c87dd7c6"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2297b359d91126c0f9d4fd17bae3cfa2fe3a048a6971b8db07db746ad92f850c"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bda3d98e2bcece388232cfc551ebf063b55bdb98f65ab54df397da30efc7dcc5"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f8934bdfd202ebd0697040a3dff40dd77bc4c5bbf3527ede0532f5e7fb4d970f"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:42c3710cec7e5c764c7999697516370bee39067de0aa089b7e2cfb97ac8c6b20"},
    {file = "safetensors-0.4.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53134226053e56bd56e73f7db42596e7908ed79f3c9a1016e4c1dade593ac8e5"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:257d59e40a1b367cb544122e7451243d65b33c3f34d822a347f4eea6fdf97fdf"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d54c2f1826e790d1eb2d2512bfd0ee443f0206b423d6f27095057c7f18a0687"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:645b3f1138fce6e818e79d4128afa28f0657430764cc045419c1d069ff93f732"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e9a7ffb1e551c6df51d267f5a751f042b183df22690f6feceac8d27364fd51d7"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:44e230fbbe120de564b64f63ef3a8e6ff02840fa02849d9c443d56252a1646d4"},
    {file = "safetensors-0.4.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:9d16b3b2fcc6fca012c74bd01b5619c655194d3e3c13e4d4d0e446eefa39a463"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:5d95ea4d8b32233910734a904123bdd3979c137c461b905a5ed32511defc075f"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:dab431699b5d45e0ca043bc580651ce9583dda594e62e245b7497adb32e99809"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16d8bbb7344e39cb9d4762e85c21df94ebeb03edac923dd94bb9ed8c10eac070"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1faf5111c66a6ba91f85dff2e36edaaf36e6966172703159daeef330de4ddc7b"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:660ca1d8bff6c7bc7c6b30b9b32df74ef3ab668f5df42cefd7588f0d40feadcb"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:ae2f67f04ed0bb2e56fd380a8bd3eef03f609df53f88b6f5c7e89c08e52aae00"},
    {file = "safetensors-0.4.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:c8ed5d2c04cdc1afc6b3c28d59580448ac07732c50d94c15e14670f9c473a2ce"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:2b6a2814278b6660261aa9a9aae524616de9f1ec364e3716d219b6ed8f91801f"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3cfd1ca35eacc635f0eaa894e5c5ed83ffebd0f95cac298fd430014fa7323631"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4177b456c6b0c722d82429127b5beebdaf07149d265748e97e0a34ff0b3694c8"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:313e8472197bde54e3ec54a62df184c414582979da8f3916981b6a7954910a1b"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fdb4adb76e21bad318210310590de61c9f4adcef77ee49b4a234f9dc48867869"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:1d568628e9c43ca15eb96c217da73737c9ccb07520fafd8a1eba3f2750614105"},
    {file = "safetensors-0.4.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:573b6023a55a2f28085fc0a84e196c779b6cbef4d9e73acea14c8094fee7686f"},
    {file = "safetensors-0.4.1.tar.gz", hash = "sha256:2304658e6ada81a5223225b4efe84748e760c46079bffedf7e321763cafb36c9"},
]

[[package]]
name = "scikit-learn"
version = "1.3.2"
requires_python = ">=3.8"
summary = "A set of python modules for machine learning and data mining"
dependencies = [
    "joblib>=1.1.1",
    "numpy<2.0,>=1.17.3",
    "scipy>=1.5.0",
    "threadpoolctl>=2.0.0",
]
files = [
    {file = "scikit-learn-1.3.2.tar.gz", hash = "sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05"},
    {file = "scikit_learn-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1"},
    {file = "scikit_learn-1.3.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a"},
    {file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c"},
    {file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161"},
    {file = "scikit_learn-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c"},
    {file = "scikit_learn-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66"},
    {file = "scikit_learn-1.3.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157"},
    {file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb"},
    {file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433"},
    {file = "scikit_learn-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b"},
    {file = "scikit_learn-1.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028"},
    {file = "scikit_learn-1.3.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5"},
    {file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525"},
    {file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c"},
    {file = "scikit_learn-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107"},
]

[[package]]
name = "scipy"
version = "1.11.4"
requires_python = ">=3.9"
summary = "Fundamental algorithms for scientific computing in Python"
dependencies = [
    "numpy<1.28.0,>=1.21.6",
]
files = [
    {file = "scipy-1.11.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710"},
    {file = "scipy-1.11.4-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41"},
    {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4"},
    {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56"},
    {file = "scipy-1.11.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446"},
    {file = "scipy-1.11.4-cp310-cp310-win_amd64.whl", hash = "sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3"},
    {file = "scipy-1.11.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be"},
    {file = "scipy-1.11.4-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8"},
    {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c"},
    {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff"},
    {file = "scipy-1.11.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993"},
    {file = "scipy-1.11.4-cp311-cp311-win_amd64.whl", hash = "sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd"},
    {file = "scipy-1.11.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6"},
    {file = "scipy-1.11.4-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d"},
    {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4"},
    {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79"},
    {file = "scipy-1.11.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660"},
    {file = "scipy-1.11.4-cp312-cp312-win_amd64.whl", hash = "sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97"},
    {file = "scipy-1.11.4.tar.gz", hash = "sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa"},
]

[[package]]
name = "sentence-transformers"
version = "2.2.2"
requires_python = ">=3.6.0"
summary = "Multilingual text embeddings"
dependencies = [
    "huggingface-hub>=0.4.0",
    "nltk",
    "numpy",
    "scikit-learn",
    "scipy",
    "sentencepiece",
    "torch>=1.6.0",
    "torchvision",
    "tqdm",
    "transformers<5.0.0,>=4.6.0",
]
files = [
    {file = "sentence-transformers-2.2.2.tar.gz", hash = "sha256:dbc60163b27de21076c9a30d24b5b7b6fa05141d68cf2553fa9a77bf79a29136"},
]

[[package]]
name = "sentencepiece"
version = "0.1.99"
summary = "SentencePiece python wrapper"
files = [
    {file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0eb528e70571b7c02723e5804322469b82fe7ea418c96051d0286c0fa028db73"},
    {file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:77d7fafb2c4e4659cbdf303929503f37a26eabc4ff31d3a79bf1c5a1b338caa7"},
    {file = "sentencepiece-0.1.99-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:be9cf5b9e404c245aeb3d3723c737ba7a8f5d4ba262ef233a431fa6c45f732a0"},
    {file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:baed1a26464998f9710d20e52607c29ffd4293e7c71c6a1f83f51ad0911ec12c"},
    {file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9832f08bb372d4c8b567612f8eab9e36e268dff645f1c28f9f8e851be705f6d1"},
    {file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:019e7535108e309dae2b253a75834fc3128240aa87c00eb80732078cdc182588"},
    {file = "sentencepiece-0.1.99-cp310-cp310-win32.whl", hash = "sha256:fa16a830416bb823fa2a52cbdd474d1f7f3bba527fd2304fb4b140dad31bb9bc"},
    {file = "sentencepiece-0.1.99-cp310-cp310-win_amd64.whl", hash = "sha256:14b0eccb7b641d4591c3e12ae44cab537d68352e4d3b6424944f0c447d2348d5"},
    {file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6d3c56f24183a1e8bd61043ff2c58dfecdc68a5dd8955dc13bab83afd5f76b81"},
    {file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ed6ea1819fd612c989999e44a51bf556d0ef6abfb553080b9be3d347e18bcfb7"},
    {file = "sentencepiece-0.1.99-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2a0260cd1fb7bd8b4d4f39dc2444a8d5fd4e0a0c4d5c899810ef1abf99b2d45"},
    {file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a1abff4d1ff81c77cac3cc6fefa34fa4b8b371e5ee51cb7e8d1ebc996d05983"},
    {file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:004e6a621d4bc88978eecb6ea7959264239a17b70f2cbc348033d8195c9808ec"},
    {file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db361e03342c41680afae5807590bc88aa0e17cfd1a42696a160e4005fcda03b"},
    {file = "sentencepiece-0.1.99-cp311-cp311-win32.whl", hash = "sha256:2d95e19168875b70df62916eb55428a0cbcb834ac51d5a7e664eda74def9e1e0"},
    {file = "sentencepiece-0.1.99-cp311-cp311-win_amd64.whl", hash = "sha256:f90d73a6f81248a909f55d8e6ef56fec32d559e1e9af045f0b0322637cb8e5c7"},
    {file = "sentencepiece-0.1.99.tar.gz", hash = "sha256:189c48f5cb2949288f97ccdb97f0473098d9c3dcf5a3d99d4eabe719ec27297f"},
]

[[package]]
name = "sgmllib3k"
version = "1.0.0"
summary = "Py3k port of sgmllib."
files = [
    {file = "sgmllib3k-1.0.0.tar.gz", hash = "sha256:7868fb1c8bfa764c1ac563d3cf369c381d1325d36124933a726f29fcdaa812e9"},
]

[[package]]
name = "six"
version = "1.16.0"
requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
summary = "Python 2 and 3 compatibility utilities"
files = [
    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]

[[package]]
name = "sympy"
version = "1.12"
requires_python = ">=3.8"
summary = "Computer algebra system (CAS) in Python"
dependencies = [
    "mpmath>=0.19",
]
files = [
    {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
    {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
]

[[package]]
name = "tenacity"
version = "8.2.3"
requires_python = ">=3.7"
summary = "Retry code until it succeeds"
files = [
    {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
    {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
]

[[package]]
name = "threadpoolctl"
version = "3.2.0"
requires_python = ">=3.8"
summary = "threadpoolctl"
files = [
    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
]

[[package]]
name = "tokenizers"
version = "0.15.0"
requires_python = ">=3.7"
summary = ""
dependencies = [
    "huggingface-hub<1.0,>=0.16.4",
]
files = [
    {file = "tokenizers-0.15.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:cd3cd0299aaa312cd2988957598f80becd04d5a07338741eca076057a2b37d6e"},
    {file = "tokenizers-0.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a922c492c721744ee175f15b91704be2d305569d25f0547c77cd6c9f210f9dc"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:331dd786d02fc38698f835fff61c99480f98b73ce75a4c65bd110c9af5e4609a"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88dd0961c437d413ab027f8b115350c121d49902cfbadf08bb8f634b15fa1814"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6fdcc55339df7761cd52e1fbe8185d3b3963bc9e3f3545faa6c84f9e8818259a"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1480b0051d8ab5408e8e4db2dc832f7082ea24aa0722c427bde2418c6f3bd07"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9855e6c258918f9cf62792d4f6ddfa6c56dccd8c8118640f867f6393ecaf8bd7"},
    {file = "tokenizers-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de9529fe75efcd54ba8d516aa725e1851df9199f0669b665c55e90df08f5af86"},
    {file = "tokenizers-0.15.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:8edcc90a36eab0705fe9121d6c77c6e42eeef25c7399864fd57dfb27173060bf"},
    {file = "tokenizers-0.15.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ae17884aafb3e94f34fb7cfedc29054f5f54e142475ebf8a265a4e388fee3f8b"},
    {file = "tokenizers-0.15.0-cp310-none-win32.whl", hash = "sha256:9a3241acdc9b44cff6e95c4a55b9be943ef3658f8edb3686034d353734adba05"},
    {file = "tokenizers-0.15.0-cp310-none-win_amd64.whl", hash = "sha256:4b31807cb393d6ea31926b307911c89a1209d5e27629aa79553d1599c8ffdefe"},
    {file = "tokenizers-0.15.0-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:af7e9be8c05d30bb137b9fd20f9d99354816599e5fd3d58a4b1e28ba3b36171f"},
    {file = "tokenizers-0.15.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c3d7343fa562ea29661783344a2d83662db0d3d17a6fa6a403cac8e512d2d9fd"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:32371008788aeeb0309a9244809a23e4c0259625e6b74a103700f6421373f395"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca9db64c7c9954fbae698884c5bb089764edc549731e5f9b7fa1dd4e4d78d77f"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dbed5944c31195514669cf6381a0d8d47f164943000d10f93d6d02f0d45c25e0"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aab16c4a26d351d63e965b0c792f5da7227a37b69a6dc6d922ff70aa595b1b0c"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3c2b60b12fdd310bf85ce5d7d3f823456b9b65eed30f5438dd7761879c495983"},
    {file = "tokenizers-0.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0344d6602740e44054a9e5bbe9775a5e149c4dddaff15959bb07dcce95a5a859"},
    {file = "tokenizers-0.15.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4525f6997d81d9b6d9140088f4f5131f6627e4c960c2c87d0695ae7304233fc3"},
    {file = "tokenizers-0.15.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:65975094fef8cc68919644936764efd2ce98cf1bacbe8db2687155d2b0625bee"},
    {file = "tokenizers-0.15.0-cp311-none-win32.whl", hash = "sha256:ff5d2159c5d93015f5a4542aac6c315506df31853123aa39042672031768c301"},
    {file = "tokenizers-0.15.0-cp311-none-win_amd64.whl", hash = "sha256:2dd681b53cf615e60a31a115a3fda3980e543d25ca183797f797a6c3600788a3"},
    {file = "tokenizers-0.15.0-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:c9cce6ee149a3d703f86877bc2a6d997e34874b2d5a2d7839e36b2273f31d3d9"},
    {file = "tokenizers-0.15.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a0a94bc3370e6f1cc8a07a8ae867ce13b7c1b4291432a773931a61f256d44ea"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:309cfcccfc7e502cb1f1de2c9c1c94680082a65bfd3a912d5a5b2c90c677eb60"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8413e994dd7d875ab13009127fc85633916c71213917daf64962bafd488f15dc"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d0ebf9430f901dbdc3dcb06b493ff24a3644c9f88c08e6a1d6d0ae2228b9b818"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10361e9c7864b22dd791ec5126327f6c9292fb1d23481d4895780688d5e298ac"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:babe42635b8a604c594bdc56d205755f73414fce17ba8479d142a963a6c25cbc"},
    {file = "tokenizers-0.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3768829861e964c7a4556f5f23307fce6a23872c2ebf030eb9822dbbbf7e9b2a"},
    {file = "tokenizers-0.15.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9c91588a630adc88065e1c03ac6831e3e2112558869b9ebcb2b8afd8a14c944d"},
    {file = "tokenizers-0.15.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:77606994e793ca54ecf3a3619adc8a906a28ca223d9354b38df41cb8766a0ed6"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:309445d10d442b7521b98083dc9f0b5df14eca69dbbfebeb98d781ee2cef5d30"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d3125a6499226d4d48efc54f7498886b94c418e93a205b673bc59364eecf0804"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ed56ddf0d54877bb9c6d885177db79b41576e61b5ef6defeb579dcb803c04ad5"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b22cd714706cc5b18992a232b023f736e539495f5cc61d2d28d176e55046f6c"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fac2719b1e9bc8e8e7f6599b99d0a8e24f33d023eb8ef644c0366a596f0aa926"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:85ddae17570ec7e5bfaf51ffa78d044f444a8693e1316e1087ee6150596897ee"},
    {file = "tokenizers-0.15.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:76f1bed992e396bf6f83e3df97b64ff47885e45e8365f8983afed8556a0bc51f"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:3bb0f4df6dce41a1c7482087b60d18c372ef4463cb99aa8195100fcd41e0fd64"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:22c27672c27a059a5f39ff4e49feed8c7f2e1525577c8a7e3978bd428eb5869d"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78104f5d035c9991f92831fc0efe9e64a05d4032194f2a69f67aaa05a4d75bbb"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a40b73dc19d82c3e3ffb40abdaacca8fbc95eeb26c66b7f9f860aebc07a73998"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d801d1368188c74552cd779b1286e67cb9fd96f4c57a9f9a2a09b6def9e1ab37"},
    {file = "tokenizers-0.15.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:82641ffb13a4da1293fcc9f437d457647e60ed0385a9216cd135953778b3f0a1"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:160f9d1810f2c18fffa94aa98bf17632f6bd2dabc67fcb01a698ca80c37d52ee"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:8d7d6eea831ed435fdeeb9bcd26476226401d7309d115a710c65da4088841948"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f6456bec6c557d63d8ec0023758c32f589e1889ed03c055702e84ce275488bed"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1eef39a502fad3bf104b9e1906b4fb0cee20e44e755e51df9a98f8922c3bf6d4"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1e4664c5b797e093c19b794bbecc19d2367e782b4a577d8b7c1821db5dc150d"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:ca003fb5f3995ff5cf676db6681b8ea5d54d3b30bea36af1120e78ee1a4a4cdf"},
    {file = "tokenizers-0.15.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:7f17363141eb0c53752c89e10650b85ef059a52765d0802ba9613dbd2d21d425"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:8a765db05581c7d7e1280170f2888cda351760d196cc059c37ea96f121125799"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:2a0dd641a72604486cd7302dd8f87a12c8a9b45e1755e47d2682733f097c1af5"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0a1a3c973e4dc97797fc19e9f11546c95278ffc55c4492acb742f69e035490bc"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4fab75642aae4e604e729d6f78e0addb9d7e7d49e28c8f4d16b24da278e5263"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65f80be77f6327a86d8fd35a4467adcfe6174c159b4ab52a1a8dd4c6f2d7d9e1"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:a8da7533dbe66b88afd430c56a2f2ce1fd82e2681868f857da38eeb3191d7498"},
    {file = "tokenizers-0.15.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:fa8eb4584fc6cbe6a84d7a7864be3ed28e23e9fd2146aa8ef1814d579df91958"},
    {file = "tokenizers-0.15.0.tar.gz", hash = "sha256:10c7e6e7b4cabd757da59e93f5f8d1126291d16f8b54f28510825ef56a3e5d0e"},
]

[[package]]
name = "torch"
version = "2.1.2"
requires_python = ">=3.8.0"
summary = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
dependencies = [
    "filelock",
    "fsspec",
    "jinja2",
    "networkx",
    "nvidia-cublas-cu12==12.1.3.1; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cuda-cupti-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cuda-runtime-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cudnn-cu12==8.9.2.26; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cufft-cu12==11.0.2.54; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-curand-cu12==10.3.2.106; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cusolver-cu12==11.4.5.107; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-cusparse-cu12==12.1.0.106; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-nccl-cu12==2.18.1; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "nvidia-nvtx-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "sympy",
    "triton==2.1.0; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
    "typing-extensions",
]
files = [
    {file = "torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:3a871edd6c02dae77ad810335c0833391c1a4ce49af21ea8cf0f6a5d2096eea8"},
    {file = "torch-2.1.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:bef6996c27d8f6e92ea4e13a772d89611da0e103b48790de78131e308cf73076"},
    {file = "torch-2.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:0e13034fd5fb323cbbc29e56d0637a3791e50dd589616f40c79adfa36a5a35a1"},
    {file = "torch-2.1.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:d9b535cad0df3d13997dbe8bd68ac33e0e3ae5377639c9881948e40794a61403"},
    {file = "torch-2.1.2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:f9a55d55af02826ebfbadf4e9b682f0f27766bc33df8236b48d28d705587868f"},
    {file = "torch-2.1.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:a6ebbe517097ef289cc7952783588c72de071d4b15ce0f8b285093f0916b1162"},
    {file = "torch-2.1.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:8f32ce591616a30304f37a7d5ea80b69ca9e1b94bba7f308184bf616fdaea155"},
    {file = "torch-2.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:e0ee6cf90c8970e05760f898d58f9ac65821c37ffe8b04269ec787aa70962b69"},
    {file = "torch-2.1.2-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:76d37967c31c99548ad2c4d3f2cf191db48476f2e69b35a0937137116da356a1"},
    {file = "torch-2.1.2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:e2d83f07b4aac983453ea5bf8f9aa9dacf2278a8d31247f5d9037f37befc60e4"},
]

[[package]]
name = "torchvision"
version = "0.16.2"
requires_python = ">=3.8"
summary = "image and video datasets and models for torch deep learning"
dependencies = [
    "numpy",
    "pillow!=8.3.*,>=5.3.0",
    "requests",
    "torch==2.1.2",
]
files = [
    {file = "torchvision-0.16.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:bc86f2800cb2c0c1a09c581409cdd6bff66e62f103dc83fc63f73346264c3756"},
    {file = "torchvision-0.16.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b024bd412df6d3a007dcebf311a894eb3c5c21e1af80d12be382bbcb097a7c3a"},
    {file = "torchvision-0.16.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:e89f10f3c8351972b6e3fda95bc3e479ea8dbfc9dfcfd2c32902dbad4ba5cfc5"},
    {file = "torchvision-0.16.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:96c7583700112a410bdc4e1e4f118c429dab49c29c9a31a2cc3579bc9b08b19d"},
    {file = "torchvision-0.16.2-cp310-cp310-win_amd64.whl", hash = "sha256:9f4032ebb3277fb07ff6a9b818d50a547fb8fcd89d958cfd9e773322454bb688"},
    {file = "torchvision-0.16.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:67b1aaf8b8cb02ce75dd445f291a27c8036a502f8c0aa76e28c37a0faac2e153"},
    {file = "torchvision-0.16.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bef30d03e1d1c629761f4dca51d3b7d8a0dc0acce6f4068ab2a1634e8e7b64e0"},
    {file = "torchvision-0.16.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:e59cc7b2bd1ab5c0ce4ae382e4e37be8f1c174e8b5de2f6a23c170de9ae28495"},
    {file = "torchvision-0.16.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:e130b08cc9b3cc73a6c59d6edf032394a322f9579bfd21d14bc2e1d0999aa758"},
    {file = "torchvision-0.16.2-cp311-cp311-win_amd64.whl", hash = "sha256:8692ab1e48807e9604046a6f4beeb67b523294cee1b00828654bb0df2cfce2b2"},
]

[[package]]
name = "tqdm"
version = "4.66.1"
requires_python = ">=3.7"
summary = "Fast, Extensible Progress Meter"
dependencies = [
    "colorama; platform_system == \"Windows\"",
]
files = [
    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
]

[[package]]
name = "transformers"
version = "4.36.2"
requires_python = ">=3.8.0"
summary = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
dependencies = [
    "filelock",
    "huggingface-hub<1.0,>=0.19.3",
    "numpy>=1.17",
    "packaging>=20.0",
    "pyyaml>=5.1",
    "regex!=2019.12.17",
    "requests",
    "safetensors>=0.3.1",
    "tokenizers<0.19,>=0.14",
    "tqdm>=4.27",
]
files = [
    {file = "transformers-4.36.2-py3-none-any.whl", hash = "sha256:462066c4f74ee52516f12890dcc9ec71d1a5e97998db621668455117a54330f6"},
    {file = "transformers-4.36.2.tar.gz", hash = "sha256:d8068e897e47793281501e547d2bbdfc5b8556409c2cb6c3d9e2ca77d4c0b4ec"},
]

[[package]]
name = "triton"
version = "2.1.0"
summary = "A language and compiler for custom Deep Learning operations"
dependencies = [
    "filelock",
]
files = [
    {file = "triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66439923a30d5d48399b08a9eae10370f6c261a5ec864a64983bae63152d39d7"},
    {file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
    {file = "triton-2.1.0-0-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:143582ca31dd89cd982bd3bf53666bab1c7527d41e185f9e3d8a3051ce1b663b"},
    {file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
    {file = "triton-2.1.0-0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:81a96d110a738ff63339fc892ded095b31bd0d205e3aace262af8400d40b6fa8"},
]

[[package]]
name = "typing-extensions"
version = "4.9.0"
requires_python = ">=3.8"
summary = "Backported and Experimental Type Hints for Python 3.8+"
files = [
    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
]

[[package]]
name = "tzdata"
version = "2023.3"
requires_python = ">=2"
summary = "Provider of IANA time zone data"
files = [
    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
]

[[package]]
name = "umap-learn"
version = "0.5.5"
summary = "Uniform Manifold Approximation and Projection"
dependencies = [
    "numba>=0.51.2",
    "numpy>=1.17",
    "pynndescent>=0.5",
    "scikit-learn>=0.22",
    "scipy>=1.3.1",
    "tqdm",
]
files = [
    {file = "umap-learn-0.5.5.tar.gz", hash = "sha256:c54d607364413eade968b73ba07c8b3ea14412817f53cd07b6f720ac957293c4"},
]

[[package]]
name = "urllib3"
version = "2.1.0"
requires_python = ">=3.8"
summary = "HTTP library with thread-safe connection pooling, file post, and more."
files = [
    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
]

pyproject.toml

[project]
name = ""
version = ""
description = ""
authors = [
    {name = "Guilherme Pires", email = "[email protected]"},
]
dependencies = [
    "pyzotero>=1.5.18",
    "bertopic>=0.16.0",
    "safetensors>=0.4.1",
    "python-dotenv>=1.0.0",
]
requires-python = ">=3.10"
readme = "README.md"
license = {text = "MIT"}

zotero-topics.py

import os
import logging
import json
import argparse

from pyzotero import zotero

import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation

from dotenv import load_dotenv
from tqdm import tqdm


logger = logging.getLogger(__name__)


def main(args):
    library_id = args.library_id
    api_key = args.api_key
    bertopic_model = args.bertopic_model

    library_type = "user"
    zot = zotero.Zotero(library_id, library_type, api_key)

    items = zot.everything(zot.items())
    if args.verbose:
        items = tqdm(items)
        logging.basicConfig(encoding='utf-8', level=logging.DEBUG)

    logger.info("Extracting abstracts and titles from Zotero library")
    abstracts = [item['data'].get('abstractNote', '') for item in items]
    titles = [item['data'].get('title', '') for item in items]

    to_model = [abstract + title for abstract, title in zip(abstracts, titles)]

    if args.bertopic_model:
        logger.info("Using BERTopic model")

        from bertopic import BERTopic
        topic_model = BERTopic.load(bertopic_model)

        logger.info("Transforming abstracts into topics")
        topics, _ = topic_model.transform(to_model)

        if args.tag_items:
            # Tag items with topics
            for idx, item in enumerate(items):
                if 'abstractNote' in item['data']:
                    topic = topics[idx]
                    if topic != -1:
                        tags = topic_model.get_topic(topic)[0]
                        zot.add_tags(item, [tag[0] for tag in tags])

        table = topic_model.get_topic_info()
        tags = table.set_index("Topic").loc[topics].Representation.values

    else:
        logger.info("Using LDA model")

        vectorizer = CountVectorizer(max_df=0.85, min_df=2, stop_words='english', lowercase=True)
        X = vectorizer.fit_transform(to_model)
        lda = LatentDirichletAllocation(n_components=100, random_state=0)
        topics = lda.fit_transform(X).argmax(axis=1)
        topic_words = np.array(vectorizer.get_feature_names_out())
        top_feature_idx = lda.components_.argsort(axis=1)[topics, -20:]
        tags = topic_words[top_feature_idx].tolist()

        if args.tag_items:
            for i, item in enumerate(items):
                if 'abstractNote' in item['data']:
                    topic = lda.transform(X[i]).argmax()
                    top_feature_idx = lda.components_[topic].argsort()[-20:]
                    tags = topic_words[top_feature_idx].tolist()
                    zot.add_tags(item, tags)

    topics = dict(zip(titles, tags))
    print(json.dumps(topics, indent=4))


if __name__ == "__main__":
    load_dotenv()

    parser = argparse.ArgumentParser()
    parser.add_argument("--library-id", help="Zotero library ID", default=os.getenv("ZOTERO_LIBRARY_ID"))
    parser.add_argument("--api-key", help="Zotero API key", default=os.getenv("ZOTERO_API_KEY"))
    parser.add_argument("--bertopic-model", help="BERTopic model", default=None)
    #parser.add_argument("--bertopic-model", help="BERTopic model", default="MaartenGr/BERTopic_Wikipedia")
    parser.add_argument("--tag-items", help="Tag items with topics", action="store_true")
    parser.add_argument("--verbose", help="Verbose logging", action="store_true")

    args = parser.parse_args()
    main(args)