Doctorado-ML/bayesclass
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Merge pull request #1 from Doctorado-ML/pyproject

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migrate from setup.py to pyproject.toml
This commit is contained in:
Ricardo Montañana Gómez
2022-11-14 11:57:33 +01:00
committed by GitHub
parent 5323ed88a6 844835b79f
commit 6b2e60eba0
3 changed files with 52 additions and 87 deletions
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51
pyproject.toml
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@@ -1,3 +1,54 @@
[build-system]
requires = ["flit_core >=3.2,<4"]
build-backend = "flit_core.buildapi"
[project]
name = "bayesclass"
description = "A collection of Bayesian Estimators."
authors = [
{ name = "Ricardo Montañana", email = "ricardo.montanana@alu.uclm.es" },
]
dynamic = ['version']
dependencies = [
"numpy",
"scipy",
"pandas",
"scikit-learn",
"pgmpy",
"networkx",
"matplotlib",
]
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
]
[project.optional-dependencies]
dev = ["black", "pre-commit", "flake8", "mypy", "pytest", "pytest-cov"]
doc = ["sphinx", "sphinx-gallery", "sphinx_rtd_theme", "numpydoc"]
[project.urls]
Home = "https://github.com/doctorado-ml/bayesclass"
[tool.pytest.ini_options]
addopts = "--cov --cov-report html --cov-report term-missing --cov-fail-under 95"
[tool.coverage.run]
source = ["bayesclass"]
[tool.black] [tool.black]
line-length = 79 line-length = 79
include = '\.pyi?$' include = '\.pyi?$'

8
setup.cfg
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@@ -1,8 +0,0 @@
[metadata]
description-file = README.rst
[aliases]
test = pytest
#[tool:pytest]
#addopts = --doctest-modules

78
setup.py
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@@ -1,78 +0,0 @@
#! /usr/bin/env python
"""A collection of Bayesian Estimators."""
import codecs
import os
from setuptools import find_packages, setup
# get __version__ from _version.py
ver_file = os.path.join("bayesclass", "_version.py")
with open(ver_file) as f:
exec(f.read())
DISTNAME = "bayesclass"
DESCRIPTION = "A collection of Bayesian Estimators."
with codecs.open("README.rst", encoding="utf-8-sig") as f:
LONG_DESCRIPTION = f.read()
MAINTAINER = "Ricardo Montañana"
MAINTAINER_EMAIL = "rmontanana@gmail.com"
URL = "https://github.com/doctorado-ml/bayesclass"
LICENSE = "MIT"
DOWNLOAD_URL = "https://github.com/doctorado-ml/bayesclass"
VERSION = __version__
INSTALL_REQUIRES = [
"numpy",
"scipy",
"scikit-learn",
"pgmpy",
"networkx",
"matplotlib",
]
CLASSIFIERS = [
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
EXTRAS_REQUIRE = {
"tests": ["pytest", "pytest-cov"],
"docs": [
"sphinx",
"sphinx-gallery",
"sphinx_rtd_theme",
"numpydoc",
"matplotlib",
],
}
setup(
name=DISTNAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
version=VERSION,
download_url=DOWNLOAD_URL,
long_description=LONG_DESCRIPTION,
zip_safe=False, # the package can run out of an .egg file
classifiers=CLASSIFIERS,
packages=find_packages(),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
)