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pyproject.toml
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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project]
name = "histogrammar"
description = "Composable histogram primitives for distributed data reduction"
keywords = [
"pandas",
"spark",
"data-science",
"data-analysis",
"statistics",
"python",
"jupyter",
"ipython"
]
readme = "README.rst"
requires-python = ">=3.9"
authors = [{ name = "Jim Pivarski (DIANA-HEP)", email = "[email protected]" }, { name = "Max Baak", email = "[email protected]" }]
maintainers = [{ name = "Max Baak", email = "[email protected]" }]
license = { type = "Apache Software License v2", file = "LICENSE" }
dependencies = [
"numpy",
"tqdm",
"joblib>=0.14.0"
]
classifiers = ["Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Physics",
]
dynamic = ["version"]
[project.optional-dependencies]
pandas = [
"pandas"
]
spark = [
"pyspark>=3.1; python_version <= '3.11'",
]
test = [
"ipykernel>=5.1.3",
"jupyter_client>=5.2.3",
"matplotlib",
"pandas",
"pre-commit>=2.9.0",
"pytest-notebook>=0.6.1",
"pytest>=4.0.2",
]
test_numpy_pre2 = [
"numpy<2",
"pandas<2",
]
# files to be shipped with the installation, under: histogrammar/test_data and histogrammar/notebooks
# after installation, these can be found with the functions in resources.py
[tool.setuptools.package-data]
histogrammar = [
"test_data/*.csv.gz",
"test_data/*.json*",
"notebooks/*tutorial*.ipynb",
]
[project.urls]
repository = "https://github.com/histogrammar/histogrammar-python"
[tool.semantic_release]
version_variable = [
"histogrammar/version.py:version",
]
build_command = "pip install build && python -m build"
[tool.setuptools.dynamic]
version = { attr = "histogrammar.version.version" }