ParProcCo/pyproject.toml at main · DiamondLightSource/ParProcCo · GitHub

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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "ParProcCo"
dynamic = ["version"]
description = "Parallel Processing Coordinator. Splits dataset processing to run parallel cluster jobs and aggregates outputs"
readme = "README.md"
license = { file = "LICENSE" }
authors = [
    {name = "Peter Chang"}
]
maintainers = [
    {name = "Data Analysis group", email = "dataanalysis@diamond.ac.uk"}
]
classifiers = [
    "License :: OSI Approved :: Apache Software License",
    "Natural Language :: English",
    "Programming Language :: Python :: 3 :: Only",
]
requires-python = ">= 3.10"
dependencies = [
    "h5py",
    "pydantic",
    "pyyaml",
    "requests"
]

[project.optional-dependencies]
testing = [
    "parameterized",
    "pytest",
]
dev = [
    "datamodel-code-generator",
]

[project.urls]
repository = "https://github.com/DiamondLightSource/ParProcCo"

[tool.setuptools.dynamic]
version = {attr = "ParProcCo.__version__"}

[tool.setuptools.packages.find]
include = ["ParProcCo", "ParProcCo.slurm", "ParProcCo.test"]
namespaces = false

[tool.setuptools]
script-files = [
    "scripts/nxdata_aggregate",
    "scripts/ppc_cluster_runner",
    "scripts/ppc_cluster_submit",
]

[tool.pytest.ini_options]
log_cli = true

[tool.mypy]
plugins = "numpy.typing.mypy_plugin"

[tool.ruff]
line-length = 88