# This Python file uses the following encoding: utf-8


# Utility function to read the README file.
# Used for the long_description.  It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
    import os
    return open(os.path.join(os.path.dirname(__file__), fname)).read()

from setuptools import setup, find_packages

package_name='CMIP5_regres_combine'
setup(
       name = package_name,
       version = "0.3",
       packages=find_packages(exclude=['test']),
#        # metadata for upload to PyPI
        author = "<NAME>",
        author_email = "<EMAIL>",
        description = "Utilities to combine multi-model trends.",
        license = "BSD",
        keywords = "cryosphere climate",
        classifiers=[
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "Natural Language :: English",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Cryospheric Science",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        long_description=read('README'),
        install_requires = ['numpy', 'scipy', 
                            #'netcdf4_soft_links',
                            'fastparquet',
                            'click', 'dask',
                            'xarray', 'toolz', 'matplotlib'],
        zip_safe=False,
        entry_points = {
                  'console_scripts': [
                           'CMIP5_regres_combine= '+package_name+'.interface:regres_and_combine'
                                     ],
                       }
    )

# This Python file uses the following encoding: utf-8


# Utility function to read the README file.
# Used for the long_description.  It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
    import os
    return open(os.path.join(os.path.dirname(__file__), fname)).read()

from setuptools import setup, find_packages

package_name='CMIP5_regres_combine'
setup(
       name = package_name,
       version = "0.3",
       packages=find_packages(exclude=['test']),
#        # metadata for upload to PyPI
        author = "<NAME>",
        author_email = "<EMAIL>",
        description = "Utilities to combine multi-model trends.",
        license = "BSD",
        keywords = "cryosphere climate",
        classifiers=[
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "Natural Language :: English",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Cryospheric Science",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        long_description=read('README'),
        install_requires = ['numpy', 'scipy', 
                            #'netcdf4_soft_links',
                            'fastparquet',
                            'click', 'dask',
                            'xarray', 'toolz', 'matplotlib'],
        zip_safe=False,
        entry_points = {
                  'console_scripts': [
                           'CMIP5_regres_combine= '+package_name+'.interface:regres_and_combine'
                                     ],
                       }
    )

# This Python file uses the following encoding: utf-8 # Utility function to read the README file. # Used for the long_description.  It's nice, because now 1) we have a top level # README file and 2) it's easier to type in the README file than to put a raw # string in below ... #        # metadata for upload to PyPI #'netcdf4_soft_links',