forked from allenai/allennlp
-
Notifications
You must be signed in to change notification settings - Fork 3
/
setup.py
149 lines (128 loc) · 4.61 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
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
"""
In order to create a package for pypi, you need to follow several steps.
1. Create a .pypirc in your home directory. It should look like this:
```
[distutils]
index-servers =
pypi
pypitest
[pypi]
username=allennlp
password= Get the password from LastPass.
[pypitest]
repository=https://test.pypi.org/legacy/
username=allennlp
password= Get the password from LastPass.
```
run chmod 600 ./pypirc so only you can read/write.
1. Change the version in docs/conf.py and setup.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
Push the tag to git: git push --tags origin master
4. Build both the sources and the wheel. Do not change anything in setup.py between
creating the wheel and the source distribution (obviously).
For the wheel, run: "python setup.py bdist_wheel" in the top level allennlp directory.
(this will build a wheel for the python version you use to build it - make sure you use python 3.x).
For the sources, run: "python setup.py sdist"
You should now have a /dist directory with both .whl and .tar.gz source versions of allennlp.
5. Check that everything looks correct by uploading the package to the pypi test server:
twine upload dist/* -r pypitest
(pypi suggest using twine as other methods upload files via plaintext.)
Check that you can install it in a virtualenv by running:
pip install -i https://testpypi.python.org/pypi allennlp
6. Upload the final version to actual pypi:
twine upload dist/* -r pypi
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
"""
from setuptools import setup, find_packages
import sys
# PEP0440 compatible formatted version, see:
# https://www.python.org/dev/peps/pep-0440/
#
# release markers:
# X.Y
# X.Y.Z # For bugfix releases
#
# pre-release markers:
# X.YaN # Alpha release
# X.YbN # Beta release
# X.YrcN # Release Candidate
# X.Y # Final release
# version.py defines the VERSION and VERSION_SHORT variables.
# We use exec here so we don't import allennlp whilst setting up.
VERSION = {}
with open("allennlp/version.py", "r") as version_file:
exec(version_file.read(), VERSION)
# make pytest-runner a conditional requirement,
# per: https://github.com/pytest-dev/pytest-runner#considerations
needs_pytest = {'pytest', 'test', 'ptr'}.intersection(sys.argv)
pytest_runner = ['pytest-runner'] if needs_pytest else []
setup_requirements = [
# add other setup requirements as necessary
] + pytest_runner
setup(name='allennlp',
version=VERSION["VERSION"],
description='An open-source NLP research library, built on PyTorch.',
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
classifiers=[
'Intended Audience :: Science/Research',
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords='allennlp NLP deep learning machine reading',
url='https://github.com/allenai/allennlp',
author='Allen Institute for Artificial Intelligence',
author_email='allennlp@allenai.org',
license='Apache',
packages=find_packages(exclude=["*.tests", "*.tests.*",
"tests.*", "tests"]),
install_requires=[
'torch>=0.4.1,<1.2',
"jsonnet>=0.10.0 ; sys.platform != 'win32'",
'overrides',
'nltk',
'spacy>=2.0.18,<2.2',
'numpy',
'tensorboardX>=1.2',
'boto3',
'flask>=1.0.2',
'flask-cors>=3.0.7',
'gevent>=1.3.6',
'requests>=2.18',
'tqdm>=4.19',
'editdistance',
'h5py',
'scikit-learn',
'scipy',
'pytz>=2017.3',
'unidecode',
'matplotlib>=2.2.3',
'pytest',
'flaky',
'responses>=0.7',
'numpydoc>=0.8.0',
'conllu==1.3.1',
'parsimonious>=0.8.0',
'ftfy',
'sqlparse>=0.2.4',
'word2number>=1.1',
'pytorch-pretrained-bert>=0.6.0',
'jsonpickle',
],
entry_points={
'console_scripts': [
"allennlp=allennlp.run:run"
]
},
setup_requires=setup_requirements,
tests_require=[
'pytest',
'flaky',
'responses>=0.7',
],
include_package_data=True,
python_requires='>=3.6.1',
zip_safe=False)