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setup.py
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setup.py
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#!/bin/env python
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# To use a consistent encoding
from codecs import open
from os import path
# Always prefer setuptools over distutils
from setuptools import find_packages, setup
import versioneer
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()
# Write version number out to VERSION file
version = versioneer.get_version()
try:
with open(path.join(here, "VERSION"), "w", encoding="utf-8") as f:
f.write(version)
except PermissionError:
print("can't write to VERSION file - moving on")
modules_list = [
"capcalc/fit",
"capcalc/filter",
"capcalc/io",
"capcalc/miscmath",
"capcalc/niftidecomp",
"capcalc/parser_funcs",
"capcalc/stats",
"capcalc/util",
"capcalc/utils",
"capcalc/_version",
]
script_list = [
"capcalc/scripts/behavioralprediction",
"capcalc/scripts/capcalc_dispatcher",
"capcalc/scripts/capfromtcs",
"capcalc/scripts/capfromany",
"capcalc/scripts/clustercomp",
"capcalc/scripts/clustersort",
"capcalc/scripts/clusternifti",
"capcalc/scripts/fitglm",
"capcalc/scripts/kmeans",
"capcalc/scripts/maptoroi",
"capcalc/scripts/ccspatialdecomp",
"capcalc/scripts/normtcs",
"capcalc/scripts/roidecompose",
"capcalc/scripts/statefiltertest",
"capcalc/scripts/statematch",
"capcalc/scripts/statlasgen",
"capcalc/scripts/supercluster",
"capcalc/scripts/tcfrom3col",
"capcalc/scripts/updatemodel",
]
setup(
name="capcalc",
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
description="Tools for performing coactivation pattern analysis on fMRI data.",
long_description=long_description,
# The project's main homepage.
url="https://github.com/bbfrederick/capcalc",
# Author details
author="Blaise Frederick",
author_email="[email protected]",
# Choose your license
license="Apache Software 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 :: 5 - Production/Stable",
# Indicate who your project is intended for
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
# Pick your license as you wish (should match "license" above)
"License :: OSI Approved :: Apache Software License",
# 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 :: 3.9",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
# What does your project relate to?
keywords=["fMRI", "correlation", "clustering", "states"],
# 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"]),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
py_modules=modules_list,
# 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",
"scipy",
"scikit-learn",
"matplotlib",
"statsmodels",
"nibabel",
"versioneer",
],
# 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={
"doc": [
"sphinx>=1.8.0",
"sphinx_rtd_theme",
"sphinx-argparse",
"sphinx-gallery",
"m2r",
"numpydoc",
"recommonmark",
"mistune==0.8.4",
],
},
# 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.
include_package_data=False,
zip_safe=False,
package_data={
"reference": ["reference/*.nii.gz"],
},
# 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.
scripts=script_list,
)