pyproject.toml

[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"

[project]
name = "ldct-benchmark"
version = "0.0.10"
authors = [
    {name = "Elias Eulig", email = "elias.eulig@dkfz.de"},
]
description = "A benchmark for deep learning-based low dose CT image denoising"
requires-python = ">=3.10"
readme = "README_PYPI.md"
dependencies = [
  "PyYAML",
  "wandb",
  "matplotlib",
  "tqdm>4.66",
  "scikit-image",
  "pydicom==3.0.1",
  "platformdirs",
  "torchmetrics",
  "pandas",
  "tabulate",
  "torch",
  "torchvision",
]
[project.optional-dependencies]
dev = [
    "black",
    "isort",
    "pytest",
    "poethepoet",
    "flake8",
    "s5cmd",
]
docs = [
    "mkdocs",
    "mkdocs-material",
    "mkdocstrings-python",
    "mkdocs-gen-files",
    "mike",
]
[project.scripts]
ldctbench-download-data = "ldctbench.scripts.download_data:main"
ldctbench-train = "ldctbench.scripts.train:main"
ldctbench-test = "ldctbench.scripts.test:main"
[project.urls]
GitHub = "https://github.com/eeulig/ldct-benchmark"
Documentation = "https://eeulig.github.io/ldct-benchmark/"

[tool.setuptools.packages.find]
include = ["ldctbench*"]
exclude = ["assets*", "tests*", "configs*", "docs*"]
namespaces = false

[tool.black]
exclude = '''
/(
    env
    | \.git
    | build
)/
'''

target-version = ["py310"]
color = true
line-length = 88

[tool.isort]
skip = ["env", "build", ".git"]
profile = "black"
skip_gitignore = true
color_output = false

[tool.pytest.ini_options]
addopts = "-ra -q"
testpaths = [
    "tests",
]

[tool.poe.tasks]
_black = 'black .'
_isort = 'isort .'
_black_check = 'black --check .'
_isort_check = 'isort --check .'
lint = "flake8 . --select=E9,F63,F7,F82 --show-source --statistics"
test = "pytest -v"

[tool.poe.tasks.format]
sequence = ['_black', '_isort']
ignore_fail = 'return_non_zero'

[tool.poe.tasks.format_check]
sequence = ['lint', '_black_check', '_isort_check']
ignore_fail = 'return_non_zero'

[tool.poe.tasks.verify]
sequence = ['format_check', 'test']
ignore_fail = "return_non_zero"