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pyproject.toml
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81 lines (74 loc) · 1.78 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "pytorch-scheduler"
version = "0.2.2"
description = "A comprehensive collection of learning rate schedulers for PyTorch"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
{ name = "axect" },
]
keywords = [
"pytorch",
"learning-rate",
"scheduler",
"deep-learning",
"machine-learning",
"optimization",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.0",
]
[project.optional-dependencies]
viz = ["matplotlib>=3.5", "SciencePlots>=2.1"]
dev = [
"pytest>=7.0",
"pytest-cov>=4.0",
"ruff>=0.4",
"pyright>=1.1",
"matplotlib>=3.5",
"hypothesis>=6.0",
]
[project.urls]
Homepage = "https://github.com/axect/pytorch-scheduler"
Repository = "https://github.com/axect/pytorch-scheduler"
Changelog = "https://github.com/axect/pytorch-scheduler/blob/main/CHANGELOG.md"
[tool.ruff]
line-length = 119
target-version = "py310"
[tool.ruff.lint]
select = [
"E",
"F",
"W",
"I",
"N",
"UP",
"B",
"A",
"SIM",
"TCH",
"RUF",
]
[tool.pyright]
pythonVersion = "3.10"
typeCheckingMode = "basic"
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "--cov=pytorch_scheduler --cov-report=term-missing"