torchTextClassifiers/pyproject.toml at cc299734c7d5aaea35bfd6283eaabda10f8d676f · InseeFrLab/torchTextClassifiers · GitHub

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[project]
name = "torchtextclassifiers"
description = "An implementation of the https://github.com/facebookresearch/fastText supervised learning algorithm for text classification using Pytorch."
authors = [
    { name = "Tom Seimandi", email = "tom.seimandi@gmail.com" },
    { name = "Julien Pramil", email = "julien.pramil@insee.fr" },
    { name = "Meilame Tayebjee", email = "meilame.tayebjee@insee.fr" },
    { name = "Cédric Couralet", email = "cedric.couralet@insee.fr" },
]
readme = "README.md"
repository = "https://github.com/InseeFrLab/torchTextClassifiers"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]
keywords = ["fastText", "text classification", "NLP", "automatic coding", "deep learning"]
dependencies = [
    "numpy>=1.26.4",
    "pytorch-lightning>=2.4.0",
]
requires-python = ">=3.11"
version="0.0.0-dev"


[dependency-groups]
dev = [
  "pytest >=8.1.1,<9",
  "pandas",
  "scikit-learn",
  "nltk",
  "unidecode",
  "captum",
  "pyarrow"
]
docs = [
  "sphinx>=5.0.0",
  "sphinx-rtd-theme>=1.2.0",
  "sphinx-autodoc-typehints>=1.19.0",
  "sphinxcontrib-napoleon>=0.7",
  "sphinx-copybutton>=0.5.0",
  "myst-parser>=0.18.0",
  "sphinx-design>=0.3.0"
]

[project.optional-dependencies]
explainability = ["unidecode", "nltk", "captum"]
preprocess =     ["unidecode", "nltk"]

[build-system]
requires = ["uv_build>=0.9.3,<0.10.0"]
build-backend = "uv_build"

[tool.ruff]
line-length = 100


[tool.uv.build-backend]
module-name="torchTextClassifiers"
module-root = ""