forked from tensorflow/similarity
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathsetup.py
More file actions
67 lines (59 loc) · 2.43 KB
/
Copy pathsetup.py
File metadata and controls
67 lines (59 loc) · 2.43 KB
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
# Copyright 2020 Google LLC
#
# 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
from setuptools import find_packages
from setuptools import setup
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
# intentionally *not* adding an encoding option to open, See:
# https://github.com/pypa/virtualenv/issues/201#issuecomment-3145690
with open(os.path.join(here, rel_path), 'r') as fp:
return fp.read()
def get_version(rel_path):
for line in read(rel_path).splitlines():
if line.startswith('__version__'):
delim = '"' if '"' in line else "'"
return line.split(delim)[1]
raise RuntimeError("Unable to find version string.")
setup(
name="tensorflow_similarity",
version=get_version("tensorflow_similarity/__init__.py"),
description="Metric Learning for Humans",
long_description=read("README.md"),
long_description_content_type='text/markdown',
author='Tensorflow Similarity authors',
author_email='tf-similarity@google.com',
url='https://github.com/tensorflow/similarity',
license='Apache License 2.0',
install_requires=[
'numpy', 'tabulate', 'nmslib', 'tensorflow>=2.6', 'tqdm',
'matplotlib', 'pandas', 'tensorflow-datasets>=4.2', 'umap-learn',
'bokeh', 'Pillow', 'distinctipy'
],
extras_require={
"dev": [
'setuptools', 'wheel', 'mypy', 'pytest', 'flake8', 'pytest-cov',
'pytype', 'twine', 'setuptools', 'nmslib', 'tensorflow', 'mkdocs',
'mkdocs-material', 'mkdocs-autorefs', 'mkdocstrings'
],
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'License :: OSI Approved :: Apache Software License',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Artificial Intelligence'
],
packages=find_packages())