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#!/usr/bin/env python
#
# Copyright 2012-2023 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==0.7.2"
]
# 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
=
[
"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'
,
]
)
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