This repository has been archived by the owner on Dec 29, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 151
/
setup.py
71 lines (65 loc) · 2.39 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
# Copyright 2015 Google Inc. All Rights Reserved.
# 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 fnmatch
import os
from setuptools import find_packages, setup, Extension
_VERSION = '0.7.2'
REQUIRED_PACKAGES = [
'enum34 >= 1.0.0',
'six >= 1.10.0',
# Having an explicit dependency here breaks GPU
# tensorflow >= 0.12.0rc0',
]
# pylint: disable=line-too-long
CONSOLE_SCRIPTS = [
'prettytensor_model_mnist = prettytensor.tutorial.mnist:main',
'prettytensor_model_shakespeare = prettytensor.tutorial.shakespeare:main',
'prettytensor_model_baby_names = prettytensor.tutorial.baby_names:main',
]
# pylint: enable=line-too-long
TEST_PACKAGES = [
'nose >= 1.3.7',
]
setup(
name='prettytensor',
version=_VERSION,
description='Pretty Tensor makes learning beautiful',
long_description='',
url='https://github.com/google/prettytensor',
author='Eider Moore',
author_email='opensource@google.com',
# Contained modules and scripts.
packages=find_packages(),
include_package_data=True,
package_data={
'prettytensor': ['tutorial/baby_names.csv']
},
entry_points={
'console_scripts': CONSOLE_SCRIPTS
},
install_requires=REQUIRED_PACKAGES,
tests_require=REQUIRED_PACKAGES + TEST_PACKAGES,
test_suite = 'nose.collector',
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2.7',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Software Development :: Libraries',
],
license='Apache 2.0',
keywords='tensorflow tensor machine learning',
)