#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from __future__ import absolute_import
from __future__ import print_function

import io
import re
from glob import glob
from os.path import basename
from os.path import dirname
from os.path import join
from os.path import splitext
from setuptools import find_packages
from setuptools import setup
import versioneer


def read(*names, **kwargs):
    return io.open(
        join(dirname(__file__), *names),
        encoding=kwargs.get('encoding', 'utf8')
    ).read()


setup(
    name='nibetaseries',
    license='MIT license',
    version=versioneer.get_version(),
    cmdclass=versioneer.get_cmdclass(),
    description='BetaSeries Correlations implemented in Nipype',
    long_description='%s\n%s' % (
        re.compile('^.. start-badges.*^.. end-badges', re.M | re.S).sub('', read('README.rst')),
        re.sub(':[a-z]+:`~?(.*?)`', r'``\1``', read('CHANGELOG.rst'))
    ),
    author='James Kent',
    author_email='james-kent@uiowa.edu',
    url='https://github.com/HBClab/NiBetaSeries',
    packages=find_packages('src'),
    package_dir={'': 'src'},
    py_modules=[splitext(basename(path))[0] for path in glob('src/*.py')],
    include_package_data=True,
    zip_safe=False,
    classifiers=[
        # complete classifier list: http://pypi.python.org/pypi?%3Aaction=list_classifiers
        'Development Status :: 1 - Planning',
        'Environment :: Console',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: MIT License',
        'Operating System :: Unix',
        'Operating System :: POSIX',
        'Programming Language :: Python',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: Implementation :: CPython',
        'Programming Language :: Python :: Implementation :: PyPy',
        'Topic :: Utilities',
    ],
    keywords=[
        'bids',
        'fmri',
        'neuroimaging',
    ],
    install_requires=[
        'nipype>=1.0.0',
        'pybids==0.6.*',
        'nibabel',
        'grabbit >= 0.2.0',
        'nistats',
        'nilearn>=0.4.*',
        'pandas',
        'numpy',
        'duecredit',
        'sklearn'
    ],
    extras_require={
        # eg:
        #   'rst': ['docutils>=0.11'],
        #   ':python_version=="2.6"': ['argparse'],
    },
    entry_points={
        'console_scripts': [
            'nibs = nibetaseries.cli.run:main',
        ]
    },
)

@@ -2025,11 +2025,11 @@
 %3E=1.
-0.0
+1.5
 ',%0A 

bump nipype version