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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "chonkie"
version = "0.3.0"
description = "🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library"
readme = "README.md"
requires-python = ">=3.9"
license = {file = "LICENSE"}
keywords = ["chunking", "rag", "nlp", "text-processing"]
authors = [
{name = "Bhavnick Minhas", email = "[email protected]"}
]
classifiers = [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Information Technology",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Text Processing :: Linguistic"
]
dependencies = [
"autotiktokenizer>=0.2.0"
]
[project.urls]
Homepage = "https://github.com/bhavnicksm/chonkie"
Documentation = "https://docs.chonkie.ai"
[project.optional-dependencies]
model2vec = ["model2vec>=0.1.0", "numpy>=1.23.0, <2.2"]
st = ["sentence-transformers>=3.0.0", "numpy>=1.23.0, <2.2"]
openai = ["openai>=1.0.0", "numpy>=1.23.0, <2.2"]
semantic = ["model2vec>=0.1.0", "numpy>=1.23.0, <2.2"]
all = ["sentence-transformers>=3.0.0", "numpy>=1.23.0, <2.2", "openai>=1.0.0", "model2vec>=0.1.0"]
dev = [
"pytest>=6.2.0",
"datasets>=1.14.0",
"transformers>=4.0.0",
"ruff>=0.0.265"
]
[tool.pytest.ini_options]
pythonpath = "src"
[tool.setuptools]
package-dir = {"" = "src"}
packages = ["chonkie",
"chonkie.chunker",
"chonkie.embeddings",
"chonkie.refinery"]
[tool.ruff]
select = ["F", "I", "D", "DOC"]