pyproject.toml

[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 = ">= 3.10"
authors = [
  {name = "Gian Michele Innocenti", email = "gian.michele.innocenti@cern.ch"},
  {name = "Jochen Klein", email = "jochen.klein@cern.ch"},
]
maintainers = [
  {name = "Jochen Klein", email = "jochen.klein@cern.ch"}
]
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"