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pyproject.toml
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[build-system]
requires = ["hatchling<1.19", "hatch-vcs"]
build-backend = "hatchling.build"
[project]
description = "ART - Actually Robust Training framework - a framework that teaches good practices when training deep neural networks. "
name = "art-training"
version = "0.2.1"
authors = [
{ name = "Sebastian Chwilczynski", email = "[email protected]" },
{ name = "Kacper Trebacz", email = "[email protected]" },
{ name = "Mateusz Malecki", email = "[email protected]" },
{ name = "Karol Cyganik", email = "[email protected]" },
]
readme = "README.md"
keywords = ['deep learning', 'pytorch', 'training', 'framework']
requires-python = ">=3.10"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
dependencies = [
"datasets>=2.11.0",
"lightning>=1.9",
"torch>=1.13.1",
"matplotlib~=3.6",
"cookiecutter>=2.3.1",
"typer==0.4.2",
"loguru==0.7.2",
"PyGithub==2.1.1",
]
[project.optional-dependencies]
dev = [
"flake8>=6.0.0",
"tox>=4.4.7",
"pytest>=7.2.2",
"pytest-cov>=4.0.0",
"mypy>=1.1.1",
"black>=23.1.0",
"myst_nb==0.17.2",
"sphinx-autodoc2==0.4.2",
"ipykernel>=6.26.0",
"nbconvert>=7.9.2",
]
dashboard = [
"dash_mantine_components",
"dash_bootstrap_components",
"dash",
"plotly"
]
[project.urls]
"Homepage" = "https://github.com/sebchw/art"
"Bug Tracker" = "https://github.com/sebchw/art/issues"
[tool.pytest.ini_options]
addopts = "--cov=art"
testpaths = ["tests"]