MachineLearningHEP/pyproject.toml at run3 · DelloStritto/MachineLearningHEP · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
[build-system]
requires = ["setuptools >= 61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[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"
dl_train = "machine_learning_hep.utils.dl_train:main"

[tool.setuptools.packages.find]
where = ["."]
include = ["machine_learning_hep*"]

[tool.setuptools_scm]

[tool.ruff]
line-length = 120

[tool.ruff.lint]
select = [ # defaults: ["E4", "E7", "E9", "F"], see https://docs.astral.sh/ruff/rules/
  "A",    # flake8-builtins
  "ARG",  # flake8-unused-arguments
  "B",    # flake8-bugbear
  "C4",   # flake8-comprehensions
  "E",    # pycodestyle Error
  "F",    # Pyflakes
  "FLY",  # flynt
  "FURB", # refurb
  "I",    # isort
  "NPY",  # NumPy-specific rules
  "PD",   # pandas-vet
  "PL",   # Pylint
  "RUF",  # Ruff-specific rules
  "SIM",  # flake8-simplify
  "UP",   # pyupgrade
  "W",    # pycodestyle Warning
]
ignore = [
  "PD901", # pandas-df-variable-name
  "PLR09", # too-many-...
]

[tool.pyright]
reportMissingImports = false
reportUnboundVariable = false