setup.py

from setuptools import setup, Command
import os
import sys
import pydmd

# Package meta-data.
NAME = pydmd.__title__
DESCRIPTION = 'Python Dynamic Mode Decomposition.'
URL = 'https://github.com/mathLab/PyDMD'
MAIL = pydmd.__mail__
AUTHOR = pydmd.__author__
VERSION = pydmd.__version__
KEYWORDS='dynamic-mode-decomposition dmd mrdmd fbdmd cdmd'

REQUIRED = [
    'future', 'numpy', 'scipy',	'matplotlib',
]

EXTRAS = {
    'docs': ['Sphinx==1.4', 'sphinx_rtd_theme'],
}

LDESCRIPTION = (
    "PyDMD is a Python package that uses Dynamic Mode Decomposition for "
    "a data-driven model simplification based on spatiotemporal coherent "
    "structures.\n"
    "\n"
    "Dynamic Mode Decomposition (DMD) is a model reduction algorithm "
    "developed by Schmid (see 'Dynamic mode decomposition of numerical and "
    "experimental data').  Since then has emerged as a powerful tool for "
    "analyzing the dynamics of nonlinear systems. DMD relies only on the "
    "high-fidelity measurements, like experimental data and numerical "
    "simulations, so it is an equation-free algorithm. Its popularity is "
    "also due to the fact that it does not make any assumptions about the "
    "underlying system. See Kutz ('Dynamic Mode Decomposition: "
    "Data-Driven Modeling of Complex Systems') for a comprehensive "
    "overview of the algorithm and its connections to the Koopman-operator "
    "analysis, initiated in Koopman ('Hamiltonian systems and "
    "transformation in Hilbert space'), along with examples in "
    "computational fluid dynamics.\n"
    "\n"
    "In the last years many variants arose, such as multiresolution DMD, "
    "compressed DMD, forward backward DMD, and higher order DMD among "
    "others, in order to deal with noisy data, big dataset, or spurius "
    "data for example.\n"
    "\n"
    "In PyDMD we implemented the majority of the variants mentioned above "
    "with a user friendly interface.\n"
    "\n"
    "The research in the field is growing both in computational fluid "
    "dynamic and in structural mechanics, due to the equation-free nature "
    "of the model.\n"
)

here = os.path.abspath(os.path.dirname(__file__))
class UploadCommand(Command):
    """Support setup.py upload."""

    description = 'Build and publish the package.'
    user_options = []

    @staticmethod
    def status(s):
        """Prints things in bold."""
        print('\033[1m{0}\033[0m'.format(s))

    def initialize_options(self):
        pass

    def finalize_options(self):
        pass

    def run(self):
        try:
            self.status('Removing previous builds...')
            rmtree(os.path.join(here, 'dist'))
        except OSError:
            pass

        self.status('Building Source and Wheel (universal) distribution...')
        os.system('{0} setup.py sdist bdist_wheel --universal'.format(sys.executable))

        self.status('Uploading the package to PyPI via Twine...')
        os.system('twine upload dist/*')

        self.status('Pushing git tags...')
        os.system('git tag v{0}'.format(VERSION))
        os.system('git push --tags')

        sys.exit()

setup(
    name=NAME,
    version=VERSION,
    description=DESCRIPTION,
    long_description=LDESCRIPTION,
    author=AUTHOR,
    author_email=MAIL,
	classifiers=[
	  	'Development Status :: 5 - Production/Stable',
	  	'License :: OSI Approved :: MIT License',
	  	'Programming Language :: Python :: 2.7',
	  	'Programming Language :: Python :: 3.6',
        'Intended Audience :: Science/Research',
        'Topic :: Scientific/Engineering :: Mathematics'
	],
	keywords=KEYWORDS,
	url=URL,
	license='MIT',
	packages=[NAME],
    install_requires=REQUIRED,
    extras_require=EXTRAS,
    test_suite='nose.collector',
	tests_require=['nose'],
	include_package_data=True,
	zip_safe=False,

    # $ setup.py publish support.
    cmdclass={
        'upload': UploadCommand,
    },)