[project]
name = "CoReDD"
version = "1.0.0"
description = "Benchmark defect detection in code review with audited label uncertainty."
readme = "README.md"
requires-python = ">=3.10"
license = "CC-BY-4.0"
dependencies = [
    "numpy",
    "pygit2",
    "scikit-learn",
    "tree-sitter",
    "tree-sitter-language-pack",
]

[project.optional-dependencies]
test = ["pytest"]

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[tool.setuptools.packages.find]
where = ["src"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
# The tiny fixtures degenerate in many draws (no true nor predicted node); sklearn
# then warns and scores 0.0, which is the intended convention.
filterwarnings = ["ignore::sklearn.exceptions.UndefinedMetricWarning"]