pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "synthetic-knn"
dynamic = ["version"]
description = "Two-stage kNN imputation using synthetic data and treelists"
readme = "README.md"
license = ""
requires-python = ">=3.9"
authors = [{ name = "Matt Gregory", email = "matt.gregory@oregonstate.edu" }]
dependencies = ["numpy", "pandas"]

[project.urls]
Homepage = "https://github.com/lemma-osu/synthetic-knn"
Source = "https://github.com/lemma-osu/synthetic-knn"

[tool.hatch.version]
path = "src/synthetic_knn/__about__.py"

[tool.hatch.build.targets.wheel]
packages = ["src/synthetic_knn"]

[tool.hatch.build.targets.sdist]
include = ["/src"]

[tool.hatch.metadata]
allow-direct-references = true

[tool.hatch.envs.default]
dependencies = [
    "ipykernel",
    "matplotlib",
    "pre-commit",
    "scikit-learn-knn-regression @ git+https://github.com/lemma-osu/scikit-learn-knn-regression",
]

[tool.hatch.envs.test]
dependencies = ["pytest", "pytest-cov", "pytest-regressions"]

[tool.hatch.envs.test.scripts]
all = "pytest {args}"
coverage = "pytest --cov=src/synthetic_knn {args}"

[tool.hatch.envs.test_matrix]
template = "test"

[[tool.hatch.envs.test_matrix.matrix]]
python = ["3.9", "3.10", "3.11", "3.12"]

[tool.pytest.ini_options]
pythonpath = "src/"
testpaths = ["tests/"]

[tool.ruff]
select = [
    "E",
    "I",
    "F",
    "B",
    "FA",
    "UP",
    "ISC",
    "PT",
    "NPY",
    "Q",
    "RET",
    "SIM",
    "PERF",
]
fix = true
show-fixes = true

[tool.ruff.isort]
known-first-party = ["synthetic_knn"]