# -*- coding: utf-8 -*-
from setuptools import setup, Command
import shutil
import io


class CleanCommand(Command):
    """Custom clean command to tidy up the project root."""
    user_options = []

    def initialize_options(self):
        pass

    def finalize_options(self):
        pass

    def run(self):
        shutil.rmtree("build")
        shutil.rmtree("dist")
        shutil.rmtree("nolds.egg-info")


with io.open("README.rst", "r", encoding="utf-8") as f:
    readme = f.read()
version = '0.6.2'
setup(
    name='nolds',
    packages=['nolds'],
    version=version,
    platforms="any",
    license="MIT",
    description='Nonlinear measures for dynamical systems '
                + '(based on one-dimensional time series)',
    long_description=readme,
    author='Christopher Schölzel',
    author_email='christopher.schoelzel@gmx.net',
    url='https://github.com/CSchoel/nolds',
    download_url='https://github.com/CSchoel/nolds/tarball/' + version,
    keywords=[
        'nonlinear', 'dynamical system', 'chaos',
        'lyapunov', 'hurst', 'hurst exponent', 'rescaled range', 'DFA',
        'detrended fluctuation analysis', 'sample entropy',
        'correlation dimension'],
    classifiers=[
        'Development Status :: 4 - Beta',
        'Intended Audience :: Education',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: MIT License',
        'Topic :: Scientific/Engineering :: Bio-Informatics',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7'
    ],
    test_suite='nolds.test_measures',
    install_requires=[
        'numpy>1.0,<3.0',
        'future',
        'setuptools'
    ],
    extras_require={
        'RANSAC': ['scikit-learn>=0.19'],
        'qrandom': ['quantumrandom'],
        'plots': ['matplotlib']
    },
    cmdclass={
        'clean': CleanCommand
    },
    include_package_data=True
)