pyproject.toml

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

[project]
name = "portend"
version = "0.0.1"
authors = [
  { name="Sebastian Echeverria", email="secheverria@sei.cmu.edu" },
]
description = "The Portend toolset for modeling and predicting ML model drift."
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

dependencies = [
    "numpy==1.24.1",
    "pandas==1.5.3",
    "scikit-learn==1.2.1",
    "statsmodels==0.13.5",
    "scipy==1.10.0",
    "tensorflow==2.13.0",
    "torch==1.13.1",
    "opencv-python==4.7.0.68",
    "natsort==8.4.0",
    "pip-system-certs",
    "noise==1.2.2",
    "pillow==10.1.0",    
]

[project.optional-dependencies]
dev = [
    "build",
    "isort==5.12.0",
    "black==23.9.1",
    "flake8==6.1.0",
    "mypy==1.5.1",
    "types-requests==2.31.0.2",
    "pytest==7.4.0",
    "pytest-cov==4.1.0",
]
tfmac = ["tensorflow-metal==1.0.0"]

[tool.hatch.build.targets.sdist]
only-include = ["portend"]

[tool.hatch.build.targets.wheel]
packages = ["portend"]

[tool.isort]
profile="black"
line_length = 80
known_first_party=["portend"]

[tool.black]
line-length = 80
target-version = ['py38']

[tool.mypy]
mypy_path = "portend"
check_untyped_defs = true
disallow_any_generics = true
ignore_missing_imports = true
no_implicit_optional = true
show_error_codes = true
strict_equality = true
warn_redundant_casts = true
warn_return_any = true
warn_unreachable = true
warn_unused_configs = true
no_implicit_reexport = true

[tool.pytest.ini_options]
pythonpath = [
  "portend"
]
testpaths = [
    "test",
]