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Copy pathpyproject.toml
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61 lines (55 loc) · 1.59 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "ctrlnmod"
version = "0.2.8"
description = "Control oriented neural state space models and tools for SDP-constrained learning algorithms."
readme = "README.md"
license = { text = "MIT" }
authors = [
{ name = "Alexandre Hache", email = "alexandre.hache@outlook.fr" },
]
keywords = ["neural networks", "linear matrix inequalities", "pytorch", "system identification"]
classifiers = [
"Development Status :: 1 - Alpha",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"License :: OSI Approved :: MIT License",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
]
requires-python = ">=3.9"
dependencies = [
"torch>=2.0",
"numpy",
"cvxpy[MOSEK]>=1.5",
"typeguard",
"matplotlib",
"scipy>=1.7",
"lightning",
"tensorboard",
]
[project.optional-dependencies]
test = ["pytest"]
dev = ["pytest", "black", "flake8", "sphinx"]
[project.urls]
Homepage = "https://github.com/Alex-Hache/ctrlnnmod"
Documentation = "https://alex-hache.github.io/ctrlnnmod/"
[tool.hatch.build.targets.wheel]
packages = ["ctrlnmod", "geotorch_custom"]
[tool.pytest.ini_options]
testpaths = ["tests"]
[tool.uv]
dev-dependencies = [
"pytest",
"black",
"flake8",
"sphinx",
]