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setup.py
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setup.py
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# Always prefer setuptools over distutils
from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / "README.md").read_text(encoding="utf-8")
def read_requirements(requirements_file):
with open(requirements_file) as f:
return f.read().splitlines()
setup(
# This is the name of your project. The first time you publish this
# package, this name will be registered for you. It will determine how
# users can install this project, e.g.:
#
# $ pip install sampleproject
#
# And where it will live on PyPI: https://pypi.org/project/sampleproject/
#
# There are some restrictions on what makes a valid project name
# specification here:
# https://packaging.python.org/specifications/core-metadata/#name
name="mloptimizer", # Required
# Versions should comply with PEP 440:
# https://www.python.org/dev/peps/pep-0440/
#
# For a discussion on single-sourcing the version across setup.py and the
# project code, see
# https://packaging.python.org/guides/single-sourcing-package-version/
version="0.8.7", # Required
# This is a one-line description or tagline of what your project does. This
# corresponds to the "Summary" metadata field:
# https://packaging.python.org/specifications/core-metadata/#summary
description="mloptimizer is a Python library "
"for optimizing hyperparameters of machine learning algorithms using genetic algorithms.", # Optional
# This is an optional longer description of your project that represents
# the body of text which users will see when they visit PyPI.
#
# Often, this is the same as your README, so you can just read it in from
# that file directly (as we have already done above)
#
# This field corresponds to the "Description" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-optional
long_description=long_description, # Optional
# Denotes that our long_description is in Markdown; valid values are
# text/plain, text/x-rst, and text/markdown
#
# Optional if long_description is written in reStructuredText (rst) but
# required for plain-text or Markdown; if unspecified, "applications should
# attempt to render [the long_description] as text/x-rst; charset=UTF-8 and
# fall back to text/plain if it is not valid rst" (see link below)
#
# This field corresponds to the "Description-Content-Type" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
long_description_content_type="text/markdown", # Optional (see note above)
# This should be a valid link to your project's main homepage.
#
# This field corresponds to the "Home-Page" metadata field:
# https://packaging.python.org/specifications/core-metadata/#home-page-optional
url="https://github.com/Caparrini/mloptimizer", # Optional
# This should be your name or the name of the organization which owns the
# project.
author="Antonio Caparrini López, Javier Arroyo Gallardo", # Optional
# This should be a valid email address corresponding to the author listed
# above.
author_email="[email protected]", # Optional
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Developers",
# Pick your license as you wish
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate you support Python 3. These classifiers are *not*
# checked by 'pip install'. See instead 'python_requires' below.
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Operating System :: OS Independent",
],
# This field adds keywords for your project which will appear on the
# project page. What does your project relate to?
#
# Note that this is a list of additional keywords, separated
# by commas, to be used to assist searching for the distribution in a
# larger catalog.
keywords="xgboost, genetic, deap", # Optional
# When your source code is in a subdirectory under the project root, e.g.
# `src/`, it is necessary to specify the `package_dir` argument.
# package_dir={"": "mloptimizer"}, # Optional
# You can just specify package directories manually here if your project is
# simple. Or you can use find_packages().
#
# Alternatively, if you just want to distribute a single Python file, use
# the `py_modules` argument instead as follows, which will expect a file
# called `my_module.py` to exist:
#
# py_modules=["my_module"],
#
packages=find_packages(), # Required
# Specify which Python versions you support. In contrast to the
# 'Programming Language' classifiers above, 'pip install' will check this
# and refuse to install the project if the version does not match. See
# https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires
python_requires=">=3.9, <3.12",
# This field lists other packages that your project depends on to run.
# Any package you put here will be installed by pip when your project is
# installed, so they must be valid existing projects.
#
# For an analysis of "install_requires" vs pip's requirements files see:
# https://packaging.python.org/discussions/install-requires-vs-requirements/
install_requires=read_requirements("requirements.txt"),
# Optional
# List additional groups of dependencies here (e.g. development
# dependencies). Users will be able to install these using the "extras"
# syntax, for example:
#
# $ pip install sampleproject[dev]
#
# Similar to `install_requires` above, these must be valid existing
# projects.
extras_require={ # Optional
"dev": read_requirements("requirements_dev.txt"),
"docs": read_requirements("requirements_docs.txt"),
},
# If there are data files included in your packages that need to be
# installed, specify them here.
package_data={ # Optional
"mloptimizer": ["conf/*"],
},
# Entry points. The following would provide a command called `sample` which
# executes the function `main` from this package when invoked:
# entry_points={ # Optional
# "console_scripts": [
# "sample=sample:main",
# ],
# },
# List additional URLs that are relevant to your project as a dict.
#
# This field corresponds to the "Project-URL" metadata fields:
# https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
#
# Examples listed include a pattern for specifying where the package tracks
# issues, where the source is hosted, where to say thanks to the package
# maintainers, and where to support the project financially. The key is
# what's used to render the link text on PyPI.
project_urls={ # Optional
# "Bug Reports": "https://github.com/pypa/sampleproject/issues",
# "Funding": "https://donate.pypi.org",
# "Say Thanks!": "http://saythanks.io/to/example",
"Source": "https://github.com/Caparrini/mloptimizer",
},
)