SmallDataBenchmarks/pyproject.toml at master · firefly1248/SmallDataBenchmarks · GitHub

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[project]
name = "small-data-benchmarks"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = [
    "numpy",
    "scipy",
    "pandas",
    "seaborn",
    "scikit-learn",
    "lightgbm",
    "xgboost",
    "catboost",
    "optuna",
    "matplotlib",
    "jupyter",
    "category-encoders>=2.9.0",
    "autogluon.tabular",
    "mljar-supervised",
    "torch",
    "tabpfn>=7.1.1",
    "pytorch-tabnet>=4.1.0",
    "rtdl>=0.14.0.dev5",
    "tabicl",
]

[dependency-groups]
dev = [
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "ruff>=0.4",
]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["."]
markers = [
    "integration: requires dataset files on disk (deselect with -m 'not integration')",
]
addopts = "-v --tb=short"

[tool.ruff]
line-length = 100
target-version = "py311"

[tool.ruff.lint]
select = ["E", "F", "I", "UP"]
ignore = ["E501"]

[tool.coverage.run]
source = ["benchmark"]
omit = ["tests/*"]