setup.py

# Copyright © 2017. Regents of the University of California (Regents). All Rights
# Reserved.
#
# Permission to use, copy, modify, and distribute this software and its documentation
# for educational, research, and not-for-profit purposes, without fee and without a
# signed licensing agreement, is hereby granted, provided that the above copyright
# notice, this paragraph and the following two paragraphs appear in all copies,
# modifications, and distributions. Contact The Office of Technology Licensing, UC
# Berkeley, 2150 Shattuck Avenue, Suite 510, Berkeley, CA 94720-1620, (510) 643-7201,
# for commercial licensing opportunities. Created by Quico Spaen, Roberto Asín-Achá,
# and Dorit S. Hochbaum, Department of Industrial Engineering and Operations Research,
# University of California, Berkeley.
#
# IN NO EVENT SHALL REGENTS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL,
# INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE
# OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF REGENTS HAS BEEN ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# REGENTS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE
# SOFTWARE AND ACCOMPANYING DOCUMENTATION, IF ANY, PROVIDED HEREUNDER IS PROVIDED "AS
# IS". REGENTS HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES,
# ENHANCEMENTS, OR MODIFICATIONS.
from setuptools import setup, find_packages

with open("README.md") as f:
    readme = f.read()


setup(
    name="hnccorr",
    version="2020.5.1",
    classifiers=[
        "Development Status :: 3 - Alpha",
        "Programming Language :: Python :: 3",
    ],
    description="HNCcorr algorithm for cell detection in calcium-imaging.",
    keywords=["Cell detection", "Neuroscience", "Calcium imaging"],
    url="https://github.com/hochbaumGroup/HNCcorr",
    author="Quico Spaen",
    author_email="qspaen@berkeley.edu",
    license="Non-commercial license. Not an open-source license.",
    long_description=readme,
    long_description_content_type="text/markdown",
    packages=find_packages("src"),
    package_dir={"": "src"},
    install_requires=[
        "closure-problem>=2020.5.1",  # Uses https://github.com/hochbaumGroup/pseudoflow-parametric-cut
        "networkx",
        "numpy",
        "pillow",
        "six",
        "sparsecomputation",
        "scipy",
        "tqdm",
    ],  # required packages here
)