setup.py

"""A setuptools based setup module"""

#Always prefer setuptools over distutils
from setuptools import setup, find_packages
#To use a consistent encoding
from codecs import open
from os import path,system

here = path.abspath(path.dirname(__file__))

#Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()
    
import netpyne
version = netpyne.__version__

import sys
if 'upload_via_twine' in sys.argv:
    system('twine upload dist/netpyne-'+version+'-py2-none-any.whl')
else:
    
    setup(
        name = 'netpyne',
        
        version = version,  # update this in netpyne/__init__.py; makes it accessible to python scripts too...
        description = 'A Python package to develop, simulate and analyse biological neuronal networks in NEURON.',
        long_description = long_description,
        
        # The project's main homepage.
        url = 'https://github.com/Neurosim-lab/netpyne',

        #Author detials
        author = 'Salvador Dura-Bernal (Neurosim lab)',
        author_email = 'salvadordura@gmail.com',

        #Choose license
        license = 'MIT',

        # 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 :: 2 - Pre-Alpha',

            # Indicate who your project is intended for
            'Intended Audience :: Science/Research',
            'Topic :: Scientific/Engineering :: Visualization',

            # Pick your license as you wish (should match "license" above)
            'License :: OSI Approved :: MIT 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 :: 2',
            'Programming Language :: Python :: 2.6',
            'Programming Language :: Python :: 2.7',
            ],
        
        # What does project relate to?    
        keywords = ['neuron','network','developing','framework','biological', 'simulation'],

        # You can just specify the packages manually here if your project is
        # simple. Or you can use find_packages().
        packages = find_packages(exclude=['saveLoadV1']),

        #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', 'matplotlib'],

     # 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={},

       # 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={},

     # 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={},

        
        )