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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "multimixer"
version = "0.1.0"
description = "An Equinox implementation of N-dimensional MLP-Mixers"
authors = [
{name = "Jacobus Smit", email = "jacobus.smit@uva.nl"},
]
license = {text = "MIT"}
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Mathematics",
]
dependencies = [
"jaxlib>=0.3.15",
"jax>=0.3.15",
"equinox>=0.8.0",
"einops>=0.4.1",
]
readme = "README.md"
requires-python = ">=3.7"
keywords = ["machine learning", "deep learning"]
# exclude = ["examples", "test"]
[project.urls]
"Homepage" = "https://github.com/jacobusmmsmit/multimixer"
[project.optional-dependencies]
dev = [
"black>22.6.0",
"matplotlib>3.5.2",
"optax>=0.1.3",
"diffrax>=0.2.1",
"flake8>=5.0.4",
"isort>=5.10.1",
"pre-commit>=2.20.0",
"pytest>=7.1.2",
]
[tool.isort]
profile = "black"
src_paths = ["src", "experiments"]
force_alphabetical_sort_within_sections = "true"
lines_after_imports = "2"
treat_comments_as_code = "true"