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#!/usr/bin/env python

#

# Copyright 2012-2025 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 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)

version_py_path = os.path.join(project_path, 'bigml', 'version.py')

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

open(version_py_path).read()).group(1)

TOPIC_MODELING_DEPENDENCIES = ["cython", "pystemmer==2.2.0.1"]

IMAGES_DEPENDENCIES = ["bigml-sensenet==0.7.5"]

# 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)

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 = ['pytest'],

install_requires = ["setuptools==70.0.0", "unidecode",

"bigml-chronos>=0.4.3", "requests",

"requests-toolbelt", "msgpack", "numpy>=1.22", "scipy",

"javascript"],

extras_require={"images": IMAGES_DEPENDENCIES,

"topics": TOPIC_MODELING_DEPENDENCIES,

"full": IMAGES_DEPENDENCIES + TOPIC_MODELING_DEPENDENCIES},

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

'bigml.tests.my_ensemble',

'bigml.api_handlers', 'bigml.predicate_utils',

'bigml.generators', 'bigml.predict_utils',

'bigml.images', 'bigml.pipeline'],

package_data={'bigml':['generators/static/*',

'flatline/*']},

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 :: 3',

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

]

)