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pyproject.toml
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55 lines (48 loc) · 1.57 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "textnano"
version = "0.2.1"
description = "A minimal text dataset builder inspired by lazynlp. Perfect for ML students who just want clean text datasets quickly."
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
keywords = ["nlp", "machine-learning", "dataset", "text-processing", "web-scraping", "data-cleaning"]
authors = [
{name = "Rustem", email = "r.kamun@gmail.com"}
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Text Processing",
"Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
"httpx>=0.27.0",
"protego>=0.3.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0",
"black>=22.0",
"flake8>=4.0",
]
[project.urls]
Homepage = "https://github.com/Rustem/textnano"
Documentation = "https://github.com/Rustem/textnano#readme"
Repository = "https://github.com/Rustem/textnano"
"Bug Tracker" = "https://github.com/Rustem/textnano/issues"
[project.scripts]
textnano = "textnano.cli:main"
[tool.setuptools]
packages = ["textnano"]
[tool.setuptools.package-data]
textnano = ["*.txt", "*.json"]