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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
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from setuptools.command.install import install
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspath(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 = f.read()
with open(path.join(here, 'pycheops/VERSION')) as version_file:
version = version_file.read().strip()
setup(
name='pycheops',
# VERSION
version = version,
description='CHEOPS light curve analysis software',
long_description=long_description,
# The project's main homepage.
url='http://cheops.unibe.ch/',
# Author details
author='CHEOPS Science Team',
author_email='[email protected]',
# Choose your license
license='GNU GPLv3',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 1 - Planning',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
# 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 :: 3.6',
],
# What does your project relate to?
keywords='astronomy',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests']),
# 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=[
'numpy>=1.17.2',
'scipy',
'astropy>=3.2.2',
'emcee>=3.0.0',
'astroquery',
'numba>=0.44.1',
'lmfit>=0.9.14',
'corner',
'photutils',
'matplotlib>3.2',
'celerite2',
'cdspyreadme',
'dace-query>=1.1.0',
'IPython',
'tqdm'],
dependency_links=[],
# 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': ['check-manifest'],
# 'test': ['coverage'],
#},
# 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={
'pycheops': ['VERSION', 'data/*/*', 'examples/*/*']
},
# 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=[('my_data', ['data/data_file'])],
# 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': [
'calculate_coefficients=pycheops.calculate_coefficients:main',
'make_xml_files=pycheops.make_xml_files:main',
'combine=pycheops.combine:main',
],
},
test_suite='nose.collector',
tests_require=['nose'],
)