[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "sparsevlm"
version = "0.1.3"
description = "Training-free visual token sparsification for vision-language models (ICML 2025)"
readme = "README.md"
license = { text = "Apache-2.0" }
authors = [{ name = "Aryan Chauhan", email = "chauhanaryan31801@gmail.com" }]
keywords = ["vision-language-models", "token-pruning", "inference-optimization", "transformers"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.10"
dependencies = [
    "torch>=2.1.0",
    "transformers>=4.40.0",
    "numpy>=1.24.0",
]

[project.optional-dependencies]
triton = ["triton>=2.1.0"]
dev    = ["pytest>=7.0", "pytest-cov", "Pillow", "accelerate"]

[project.urls]
Homepage   = "https://github.com/aryanchauhan31/SparseVLM"
Repository = "https://github.com/aryanchauhan31/SparseVLM"
Paper      = "https://arxiv.org/abs/2410.04417"

[tool.setuptools.packages.find]
where   = ["."]
include = ["sparsevlm*", "kernels*"]

[tool.pytest.ini_options]
testpaths    = ["tests"]
python_files = ["test_*.py"]
addopts      = "-v --tb=short"