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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools >= 61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["."]
include = ["machine_learning_hep*"]
[tool.setuptools_scm]
[tool.black]
line-length = 120
[tool.isort]
profile = "black"
multi_line_output = 0
[tool.pyright]
reportMissingImports = false
reportUnboundVariable = false
[tool.ruff]
line-length = 120
[project]
name = "MachineLearningHEP"
dynamic = ["version"]
dependencies = [
"hyperopt>=0.2.3",
"Jinja2>=2.10.3",
"keras>=2.3.1",
"klein>=17.10.0",
"lz4>=2.1.10",
"matplotlib>=3.0.3",
"numba>=0.48.0",
"numpy>=1.17.4",
"onnx>=1.12.0",
"onnxmltools>=1.12.0",
"onnxconverter-common>=1.13.0",
"pandas>=0.24.2",
"pyarrow",
"pylint",
"PyYaml>=5.1",
"scikit-learn>=0.20.3",
"scipy>=1.4.1",
"seaborn>=0.11.1",
"shap>=v0.23.0",
"tensorflow>=2.3.1",
"twisted>=19.2.0",
"uproot>=3.4.18",
"xgboost>=0.90",
"zstandard>=0.21.0",
]
requires-python = ">= 3.9"
authors = [
{name = "Gian Michele Innocenti", email = "[email protected]"},
{name = "Jochen Klein", email = "[email protected]"},
]
maintainers = [
{name = "Jochen Klein", email = "[email protected]"}
]
description = "Machine Learning package for HEP"
readme = "README.md"
license = {file = "LICENSE"}
keywords=['HEP', 'Computing', 'MachineLearning']
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Education",
"Topic :: Scientific/Engineering :: Physics",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Programming Language :: Python",
]
[project.urls]
Homepage = "https://github.com/alisw/MachineLearningHEP"
Repository = "https://github.com/alisw/MachineLearningHEP"
[project.scripts]
mlhep = "machine_learning_hep.steer_analysis:main"