File: pyproject.toml

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scikit-learn 1.4.2%2Bdfsg-8
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[build-system]
# Minimum requirements for the build system to execute.
requires = [
    "setuptools",
    "wheel",
    "Cython>=3.0.8",
    "numpy==2.0.0rc1",
    "scipy>=1.6.0",
]

[tool.black]
line-length = 88
target_version = ['py39', 'py310', 'py311']
preview = true
exclude = '''
/(
    \.eggs         # exclude a few common directories in the
  | \.git          # root of the project
  | \.mypy_cache
  | \.vscode
  | build
  | dist
  | doc/tutorial
  | doc/_build
  | doc/auto_examples
  | sklearn/externals
  | asv_benchmarks/env
)/
'''

[tool.ruff]
# all rules can be found here: https://beta.ruff.rs/docs/rules/
select = ["E", "F", "W", "I"]

# max line length for black
line-length = 88
target-version = "py38"

ignore=[
    # space before : (needed for how black formats slicing)
    "E203",
    # do not assign a lambda expression, use a def
    "E731",
    # do not use variables named 'l', 'O', or 'I'
    "E741",
]

exclude=[
    ".git",
    "__pycache__",
    "dist",
    "sklearn/externals",
    "doc/_build",
    "doc/auto_examples",
    "doc/tutorial",
    "build",
    "asv_benchmarks/env",
    "asv_benchmarks/html",
    "asv_benchmarks/results",
    "asv_benchmarks/benchmarks/cache",
]

[tool.ruff.per-file-ignores]
# It's fine not to put the import at the top of the file in the examples
# folder.
"examples/*"=["E402"]
"doc/conf.py"=["E402"]


[tool.cython-lint]
# Ignore the same error codes as ruff
# + E501 (line too long) because keeping it < 88 in cython
# often makes code less readable.
ignore = [
    # multiple spaces/tab after comma
    'E24',
    # space before : (needed for how black formats slicing)
    'E203',
    # line too long
    'E501',
    # do not assign a lambda expression, use a def
    'E731',
    # do not use variables named 'l', 'O', or 'I'
    'E741',
    # line break before binary operator
    'W503',
    # line break after binary operator
    'W504',
]
# Exclude files are generated from tempita templates
exclude= '''
(
    asv_benchmarks/
  | sklearn/_loss/_loss.pyx
  | sklearn/linear_model/_sag_fast.pyx
  | sklearn/linear_model/_sgd_fast.pyx
  | sklearn/utils/_seq_dataset.pyx
  | sklearn/utils/_seq_dataset.pxd
  | sklearn/utils/_weight_vector.pyx
  | sklearn/utils/_weight_vector.pxd
  | sklearn/metrics/_dist_metrics.pyx
  | sklearn/metrics/_dist_metrics.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_argkmin.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx
  | sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx
  | sklearn/metrics/_pairwise_distances_reduction/_base.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_base.pyx
  | sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx
  | sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx
  | sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pxd
  | sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx
)
'''