NFL-bdb/pyproject.toml at main · damsolanke/NFL-bdb · GitHub

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

[project]
name = "nfl-bdb"
version = "0.1.0"
description = "NFL Big Data Bowl 2026 - Spatio-Temporal Graph Neural Network for Trajectory Prediction"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
    {name = "Joshua"}
]
keywords = ["nfl", "trajectory-prediction", "graph-neural-networks", "deep-learning"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "torch>=2.0.0",
    "numpy>=1.24.0",
    "pandas>=2.0.0",
    "pyarrow>=12.0.0",
    "tqdm>=4.65.0",
]

[project.optional-dependencies]
dev = [
    "jupyter>=1.0.0",
    "ipykernel>=6.25.0",
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
]

[project.scripts]
nfl-bdb = "nfl_bdb.cli:main"

[tool.setuptools]
packages = {find = {where = ["src"]}}

[tool.setuptools.package-data]
nfl_bdb = ["py.typed"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]