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Copy pathpyproject.toml
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43 lines (40 loc) · 1.28 KB
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[build-system]
requires = ["hatchling >= 1.26"]
build-backend = "hatchling.build"
[project]
name = "python_magi"
version = "0.0.4"
dependencies = [
"numpy >= 1.26.4",
"scipy >= 1.11.4",
"scikit-learn >= 1.5.2",
"tensorflow >= 2.18.0",
"tf_keras >= 2.18.0",
"tensorflow_probability >= 0.25.0",
"tqdm >= 4.66.5",
]
requires-python = ">=3.8"
authors = [
{ name="Skyler Wu", email="skylerw@stanford.edu" },
{ name="Samuel Kou", email="kou@stat.harvard.edu" },
{ name="Shihao Yang", email="shihao.yang@isye.gatech.edu" },
]
maintainers = [
{name = "Skyler Wu", email = "skylerw@stanford.edu"}
]
description = "Python-MAGI: A TensorFlow Probability-Powered Upgraded Implementation of MAnifold-Constrained Gaussian Process Inference (MAGI)"
readme = "README.md"
keywords = ["dynamical systems", "inverse problems", "monte carlo"]
classifiers = [
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
]
license = "GPL-3.0-or-later"
license-files = ["LICENSE"]
[tool.hatch.build.targets.wheel]
packages = ["src/python_magi"]
[project.urls]
Homepage = "https://github.com/skbwu/Python-MAGI"
Documentation = "https://github.com/skbwu/Python-MAGI/README.md"
Issues = "https://github.com/skbwu/Python-MAGI/issues"