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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
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
DISTNAME = 'modelx'
LICENSE = 'LGPLv3'
AUTHOR = "Fumito Hamamura"
EMAIL = "[email protected]"
URL = "https://github.com/fumitoh/modelx"
DESCRIPTION = "Build and run complex models composed of formulas and data"
here = path.abspath(path.dirname(__file__))
def get_description():
"""Get long description from README."""
with open(path.join(here, 'README.rst'), 'r') as f:
data = f.read()
return data
LONG_DESCRIPTION = get_description()
def get_version(version_tuple):
# additional handling of a,b,rc tags, this can
# be simpler depending on your versioning scheme
if not isinstance(version_tuple[-1], int):
return '.'.join(
map(str, version_tuple[:-1])
) + version_tuple[-1]
return '.'.join(map(str, version_tuple))
# path to the packages __init__ module in project source tree
init = path.join(
path.dirname(__file__), 'modelx', '__init__.py'
)
version_line = list(
filter(lambda l: l.startswith('VERSION'), open(init))
)[0]
# VERSION is a tuple so we need to eval its line of code.
# We could simply import it from the package but we
# cannot be sure that this package is importable before
# finishing its installation
VERSION = get_version(eval(version_line.split('=')[-1]))
setup(
name=DISTNAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
url=URL,
author=AUTHOR,
author_email=EMAIL,
license=LICENSE,
# 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 :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Financial and Insurance Industry',
'Intended Audience :: Science/Research',
'Topic :: Office/Business :: Financial',
'Topic :: Office/Business :: Financial :: Accounting',
'Topic :: Office/Business :: Financial :: Investment',
'Topic :: Office/Business :: Financial :: Spreadsheet',
'Topic :: Scientific/Engineering :: Mathematics',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
'Operating System :: OS Independent',
# 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',
'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',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13'
],
# What does your project relate to?
keywords='model development',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
# An asterisk is needed to exlude temp directory according to the post below.
# https://stackoverflow.com/questions/43365915/python-packaging-exclude-directory-from-bdist-wheel
packages=find_packages(exclude=[
'contrib', 'doc', 'modelx.tests*', 'temp*', 'samples*']),
# 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=['networkx>=2.2', 'asttokens', 'libcst'],
# If your project only runs on certain Python versions,
# setting the python_requires argument to the appropriate PEP 440 version
# specifier string will prevent pip from installing the project on
# other Python versions.
# For example, if your package is for Python 3+ only, write:
python_requires='>=3.7',
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,tests]
# extras_require={
# 'dev': ['check-manifest'],
# 'tests': ['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={
# 'sample': ['package_data.dat'],
# },
# 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': [
# 'sample=sample:main',
# ],
},
)