pyproject.toml

[build-system]
requires = ["uv_build>=0.9.15,<0.10.0"]
build-backend = "uv_build"

[project]
name = "optimal-classification-cutoffs"
version = "2.0.1"
description = "Utilities for computing optimal classification cutoffs for binary and multiclass classification"
readme = "README.md"
license = "MIT"
dependencies = [
    "numpy>=1.20.0",
    "scipy",
    "scikit-learn",
]
authors = [
    {name = "Gaurav Sood", email = "contact@gsood.com"}
]
requires-python = ">=3.12"
classifiers = [
  "Development Status :: 4 - Beta",
  "Intended Audience :: Science/Research",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Programming Language :: Python :: 3.14",
  "Topic :: Scientific/Engineering :: Mathematics",
]

[tool.uv.build-backend]
module-name = "optimal_cutoffs"
module-root = "."

[tool.ruff]
target-version = "py312"
line-length = 88
exclude = [
    "docs/",
    "*.ipynb",  # Exclude Jupyter notebooks
]

[tool.ruff.lint]
select = [
    "E",  # pycodestyle errors
    "W",  # pycodestyle warnings
    "F",  # pyflakes
    "I",  # isort
    "B",  # flake8-bugbear
    "C4", # flake8-comprehensions
    "UP", # pyupgrade
]
ignore = [
    "E501",  # line-too-long
    "W291",  # trailing-whitespace
    "W292",  # no-newline-at-end-of-file
    "W293",  # blank-line-with-whitespace
]

[tool.ruff.lint.per-file-ignores]
"tests/*" = [
    "B007",  # unused-loop-control-variable (acceptable in test fixtures)
]

[tool.pytest.ini_options]
filterwarnings = [
    # Suppress specific expected warnings in tests
    "ignore:Multiclass probabilities don't sum to 1.0:UserWarning",
    "ignore:unique_scan with micro averaging uses independent:UserWarning",
    "ignore:invalid value encountered in divide:RuntimeWarning",
]

[dependency-groups]
# For examples and visualizations
examples = ["matplotlib", "pandas", "ipywidgets"]

# For performance optimization
performance = ["numba>=0.57.0"]

# For adaptive optimization methods
adaptive = ["scikit-optimize>=0.9.0"]

# For documentation generation
docs = [
    "sphinx>=5.0",
    "furo",
    "sphinx-autodoc-typehints>=1.0",
    "nbsphinx>=0.8.0",
    "nbconvert>=6.0",
    "jupyter",
    "matplotlib",
    "pandas",
    "ipywidgets"
]

# For development and testing
dev = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
    "ruff>=0.7.0",
    "mypy>=1.0",
    "pre-commit>=3.0",
    "hypothesis>=6.0",
    "psutil>=5.0",
    "nbsphinx>=0.9.8",
    "matplotlib>=3.10.7",
    "seaborn>=0.13.2",
    "pandas>=2.3.3",
    "jupyter>=1.1.1",
    "pydoclint>=0.5.0",
]

# For running all tests with full coverage (numba optional - use 'performance' group for numba-accelerated tests)
test = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
    "hypothesis>=6.0",
    "psutil>=5.0",
    "ruff>=0.7.0"
]

# All optional dependencies
all = [
    "matplotlib",
    "pandas",
    "numba>=0.57.0",
    "scikit-optimize>=0.9.0",
    "psutil>=5.0"
]

[tool.mypy]
python_version = "3.12"
warn_unused_configs = true
disallow_untyped_defs = false
ignore_missing_imports = true
allow_redefinition = true
no_implicit_optional = true
allow_untyped_calls = true
allow_untyped_decorators = true
warn_no_return = true
warn_redundant_casts = true

[[tool.mypy.overrides]]
module = [
    "sklearn.*",
    "numba.*",
    "scipy.*",
]
ignore_errors = true

[[tool.mypy.overrides]]
module = [
    "optimal_cutoffs.optimize",
    "optimal_cutoffs.multilabel",
]
allow_untyped_defs = true
allow_untyped_calls = true

[tool.pydoclint]
style = "numpy"
check-return-types = true
check-arg-order = true
check-class-attributes = true
arg-type-hints-in-docstring = false
should-document-star-arguments = true
ignore-underscore-args = true
ignore-private-args = false
show-filenames-in-every-violation-message = true
baseline = "pydoclint-baseline.txt"

[tool.deptry]
# Exclude specific paths from analysis
exclude = [".venv", "build", "dist", ".*\\.ipynb$"]
extend_exclude = ["tests", "examples", "docs"]
known_first_party = ["optimal_cutoffs"]

# Package name to module name mappings
[tool.deptry.package_module_name_map]
scikit-optimize = "skopt"
ipywidgets = "ipywidgets"
psutil = "psutil"

[tool.deptry.per_rule_ignores]
# DEP004: Allow optional performance dependency in specific file
DEP004 = ["numba"]

# DEP003: Allow transitive dependencies in examples/notebooks
DEP003 = ["IPython"]