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#!/usr/bin/env python

#

# Copyright 2012, 2015-2016 BigML, Inc

#

# Licensed under the Apache License, Version 2.0 (the "License"); you may

# not use this file except in compliance with the License. You may obtain

# a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT

# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the

# License for the specific language governing permissions and limitations

# under the License.

import os

import re

import sys

import setuptools

# Get the path to this project

project_path = os.path.dirname(__file__)

# Read the version from bigml.__version__ without importing the package

# (and thus attempting to import packages it depends on that may not be

# installed yet)

init_py_path = os.path.join(project_path, 'bigml', '__init__.py')

version = re.search("__version__ = '([^']+)'",

open(init_py_path).read()).group(1)

# Concatenate files into the long description

file_contents = []

for file_name in ('README.rst', 'HISTORY.rst'):

path = os.path.join(os.path.dirname(__file__), file_name)

file_contents.append(open(path).read())

long_description = '\n\n'.join(file_contents)

PYTHON_VERSION = sys.version_info[0:3]

PYTHON_REQUESTS_CHANGE = (2, 7, 9)

REQUESTS_VERSION = "requests==2.5.3" if \

PYTHON_VERSION < PYTHON_REQUESTS_CHANGE else "requests"

INSTALL_REQUIRES = [REQUESTS_VERSION, "unidecode"]

if PYTHON_VERSION[0] < 3:

INSTALL_REQUIRES.append('poster')

setuptools.setup(

name="bigml",

description="An open source binding to BigML.io, the public BigML API",

long_description=long_description,

version=version,

author="The BigML Team",

author_email="bigml@bigml.com",

url="https://bigml.com/developers",

download_url="https://github.com/bigmlcom/python",

license="http://www.apache.org/licenses/LICENSE-2.0",

setup_requires = ['nose'],

install_requires = INSTALL_REQUIRES,

packages = ['bigml', 'bigml.tests'],

classifiers=[

'Development Status :: 4 - Beta',

'Intended Audience :: Developers',

'License :: OSI Approved :: Apache Software License',

'Natural Language :: English',

'Operating System :: OS Independent',

'Programming Language :: Python',

'Programming Language :: Python :: 2',

'Programming Language :: Python :: 2.7',

'Programming Language :: Python :: 3',

'Topic :: Software Development :: Libraries :: Python Modules',

],

test_suite='nose.collector',

use_2to3=True

)