mirror of
https://github.com/Doctorado-ML/bayesclass.git
synced 2025-08-15 23:55:57 +00:00
Remove setup and add info to pyproject
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@@ -1,3 +1,60 @@
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[build-system]
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requires = ["flit_core >=3.2,<4"]
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build-backend = "flit_core.buildapi"
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[project]
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name = "bayesclass"
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description = "A collection of Bayesian Estimators."
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authors = [
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{ name = "Ricardo Montañana", email = "ricardo.montanana@alu.uclm.es" },
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]
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dynamic = ['version']
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dependencies = [
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"numpy",
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"scipy",
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"pandas",
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"scikit-learn",
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"pgmpy",
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"networkx",
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"matplotlib",
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]
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readme = "README.md"
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requires-python = ">=3.8"
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Science/Research",
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"Intended Audience :: Developers",
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"Topic :: Software Development",
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"Topic :: Scientific/Engineering",
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"License :: OSI Approved :: MIT License",
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"Natural Language :: English",
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"Operating System :: OS Independent",
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"Programming Language :: Python",
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"Programming Language :: Python",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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]
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[project.optional-dependencies]
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dev = [
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"black",
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"pre-commit",
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"flake8",
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"mypy",
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"pytest",
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"pytest-cov",
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"sphinx",
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"sphinx-gallery",
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"sphinx_rtd_theme",
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"numpydoc",
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]
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[project.urls]
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Home = "https://github.com/doctorado-ml/bayesclass"
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[tool.pytest.ini_options]
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addopts = "--cov --cov-report html --cov-report term-missing --cov-fail-under 95"
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[tool.coverage.run]
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source = ["bayesclass"]
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[tool.black]
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line-length = 79
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include = '\.pyi?$'
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@@ -13,4 +70,4 @@ exclude = '''
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| build
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| dist
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)/
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'''
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'''
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@@ -1,8 +0,0 @@
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[metadata]
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description-file = README.rst
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[aliases]
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test = pytest
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#[tool:pytest]
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#addopts = --doctest-modules
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78
setup.py
78
setup.py
@@ -1,78 +0,0 @@
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#! /usr/bin/env python
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"""A collection of Bayesian Estimators."""
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import codecs
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import os
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from setuptools import find_packages, setup
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# get __version__ from _version.py
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ver_file = os.path.join("bayesclass", "_version.py")
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with open(ver_file) as f:
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exec(f.read())
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DISTNAME = "bayesclass"
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DESCRIPTION = "A collection of Bayesian Estimators."
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with codecs.open("README.rst", encoding="utf-8-sig") as f:
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LONG_DESCRIPTION = f.read()
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MAINTAINER = "Ricardo Montañana"
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MAINTAINER_EMAIL = "rmontanana@gmail.com"
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URL = "https://github.com/doctorado-ml/bayesclass"
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LICENSE = "MIT"
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DOWNLOAD_URL = "https://github.com/doctorado-ml/bayesclass"
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VERSION = __version__
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INSTALL_REQUIRES = [
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"numpy",
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"scipy",
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"scikit-learn",
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"pgmpy",
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"networkx",
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"matplotlib",
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]
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CLASSIFIERS = [
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"Intended Audience :: Science/Research",
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"Intended Audience :: Developers",
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"License :: OSI Approved",
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"Programming Language :: Python",
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"Topic :: Software Development",
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"Topic :: Scientific/Engineering",
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"Operating System :: Microsoft :: Windows",
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"Operating System :: POSIX",
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"Operating System :: Unix",
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"Operating System :: MacOS",
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"Programming Language :: Python :: 2.7",
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"Programming Language :: Python :: 3.5",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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]
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EXTRAS_REQUIRE = {
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"tests": ["pytest", "pytest-cov"],
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"docs": [
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"sphinx",
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"sphinx-gallery",
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"sphinx_rtd_theme",
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"numpydoc",
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"matplotlib",
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],
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}
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setup(
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name=DISTNAME,
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maintainer=MAINTAINER,
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maintainer_email=MAINTAINER_EMAIL,
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description=DESCRIPTION,
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license=LICENSE,
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url=URL,
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version=VERSION,
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download_url=DOWNLOAD_URL,
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long_description=LONG_DESCRIPTION,
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zip_safe=False, # the package can run out of an .egg file
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classifiers=CLASSIFIERS,
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packages=find_packages(),
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install_requires=INSTALL_REQUIRES,
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extras_require=EXTRAS_REQUIRE,
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)
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