pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "spuco"
version = "2.0.3"
authors = [
    { name = "Siddharth Joshi", email = "sjoshi804@cs.ucla.edu" }
]

description = "SpuCo: Spurious Correlations Datasets and Benchmarks"
readme = "README.md"
requires-python = ">=3.10.0"

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Intended Audience :: Developers",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]
dependencies = [
    "matplotlib>=3.7.1",
    "numpy>=1.23.5",
    "setuptools>=61.0",
    "torch>=2.0.0",
    "torchvision>=0.15.1",
    "tqdm>=4.65.0",
    "scikit-learn>=0.20.0",
    "wilds>=2.0.0",
    "transformers>=3.5.0",
    "umap-learn>=0.5.5",
    "grad-cam>=1.5.0"
]

[project.optional-dependencies]
dev = [
    "black>=23.1.0",    
    "flake8>=3.9.2",
    "pytest>=7.2.1",
    "properscoring",
    "build",
    "twine"
]
docs = [
    "ipython>=7.34.0",
    "nbsphinx>=0.8.12",
    "sphinx>=5.3.0",
    "sphinx_rtd_theme>=1.1.1"
]

[project.urls]
"Source" = "https://github.com/BigML-CS-UCLA/SpuCo"