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setup.py
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setup.py
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"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
Pre-release steps
-----------------
1. make sure all newly added data files are listed in `setup.py` in variable
`package_data`as well as in `MANIFEST.in` file
2. make sure version information in following destinations is up to date:
- `version.py` in function `get_version()`
- `README.rst` in yellow version badge https://img.shields.io/badge/version-<VERSION>-yellow.svg
- in `src/elisa/__init__.py`, variable `__version__`
3. make sure that `CHANGELOG.rst` is up to date; content as well as release date and valid version
4. make sure all newly added dependencies are listed in `requirements.txt` as well as in
`setup.py` in variable `install_requires`
5. make sure a latest docstsring documentation is generated and there is no error during Sphinx HTML build
(for more comprehensive information take a look into `docs/README.rst`)
6. make sure setup.cfg contains all supported Python versions
7. commit changes
8. create release branch with name `release/<VERSION>` and push changes
9. make sure all unittests are running
10. create a tag::
>> git tag -a v<VERSION> -m "version <VERSION>"
>> git push origin --tags
11. build package with command::
>> python setup.py sdist bdist_wheel
12. configure pypi repositories if necessary (use following configuration template with valid credentials)::
# ~/.pypirc
[distutils] # this tells distutils what package indexes you can push to
index-servers =
pypi
[pypi]
repository = https://upload.pypi.org/legacy/
username = <username>
password = <password>
13. release packages with following command (install twine if necessary with `pip install twine`)::
>> twine upload dist/* -r pypi
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
from version import get_version
here = path.dirname(__file__)
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = "For more information visit https://github.com/mikecokina/elisa/blob/master/README.rst"
setup(
name='elisa',
src_root='src',
version=get_version(),
description='Eclipsing Binary Modeling Software',
long_description=long_description,
# The project's main homepage.
url='https://github.com/mikecokina/elisa',
# Author details
author='Michal Cokina, Miroslav Fedurco',
author_email='mikecokina@gmail.com, mirofedurco@gmail.com',
# Choose your license
license='GPLv2',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Astronomy',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU General Public License v2 (GPLv2)',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
# 'Programming Language :: Python :: 2',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
# What does your project relate to?
keywords='eclipsing binaries astronomy analysis analytics physic',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
# packages=find_packages(where='src', exclude=["single_system"]),
packages=find_packages(where='src'),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
'astropy>=4.0.1,<4.4',
'corner>=2.2.1',
'emcee==3.0.1',
'jsonschema>=3.2.0',
'matplotlib>=3.3.2,<3.5',
'numpy>=1.16.2,<=1.20.3',
'pandas>=0.24.0,<1.4',
'pypex>=0.2.0',
'python-dateutil>=2.6.1,<=2.8.1',
'scipy>=1.0.0,<1.8',
'tqdm==4.43.0',
'parameterized>=0.7.4',
'numba>=0.51.2',
'requests>=2.26.0'
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={
'dev': [],
'test': ['coverage', 'parameterized>=0.7.4', 'pytest==3.2.3'],
},
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={
'elisa': [
'passband/*',
'conf/*',
'conf/logging_schemas/*',
'schema_registry/*',
'schema_registry/schema_files/*',
'data/*',
'data/mesh_corrections/*'
],
},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
],
},
)