vjepa2-mlx/pyproject.toml at main · gaarutyunov/vjepa2-mlx · GitHub

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

[project]
name = "vjepa2-mlx"
version = "0.0.1"
description = "MLX implementation of V-JEPA 2 for Apple Silicon"
readme = "README.md"
requires-python = ">=3.11"
license = {text = "MIT"}
authors = [
    {name = "Facebook Research"},
]
keywords = ["machine learning", "video", "vision", "mlx", "apple silicon"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "mlx>=0.20.0",
    "mlx-lm>=0.19.0",
    "numpy>=1.24.0",
    "opencv-python>=4.8.0",
    "pyyaml>=6.0",
    "wandb>=0.15.0",
    "tqdm>=4.65.0",
    "safetensors>=0.4.0",
    "decord2>=0.6.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
    "black>=23.7.0",
    "isort>=5.12.0",
    "flake8>=6.1.0",
]
notebook = [
    "jupyter>=1.0.0",
    "matplotlib>=3.7.0",
    "ipywidgets>=8.1.0",
]

[project.urls]
Homepage = "https://github.com/facebookresearch/vjepa2"
Repository = "https://github.com/facebookresearch/vjepa2-mlx"

[project.scripts]
vjepa2-mlx-train = "vjepa2_mlx.train:main"

[tool.setuptools.packages.find]
where = ["src"]
include = ["vjepa2_mlx*"]

[tool.setuptools.package-data]
vjepa2_mlx = ["*.yaml", "*.yml"]

[tool.black]
line-length = 119
target-version = ["py311", "py312"]
include = '\.pyi?$'

[tool.isort]
profile = "black"
line_length = 119
skip_gitignore = true

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = "test_*.py"
python_classes = "Test*"
python_functions = "test_*"
addopts = ["-v", "--tb=short", "--strict-markers"]
markers = [
    "slow: marks tests as slow",
    "requires_weights: marks tests that require model weights",
    "requires_torch: marks tests that require PyTorch",
]
filterwarnings = [
    "ignore::DeprecationWarning",
    "ignore::UserWarning",
]