https://github.com/GPflow/GPflow
Revision e0a2cc7d67a9ddba27a61a56dacd871c19dad747 authored by Artem Artemev on 26 September 2017, 20:28:21 UTC, committed by Artem Artemev on 26 September 2017, 20:28:21 UTC
1 parent 6381a83
Tip revision: e0a2cc7d67a9ddba27a61a56dacd871c19dad747 authored by Artem Artemev on 26 September 2017, 20:28:21 UTC
Parameter list represents only parameters. Empty method returns true only if there are no data holders and parameters at parameterized object.
Parameter list represents only parameters. Empty method returns true only if there are no data holders and parameters at parameterized object.
Tip revision: e0a2cc7
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
from __future__ import print_function
from setuptools import setup
from setuptools import find_packages
import re
import os
import sys
from pkg_resources import parse_version
# load version form _version.py
VERSIONFILE = "gpflow/_version.py"
verstrline = open(VERSIONFILE, "rt").read()
VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
mo = re.search(VSRE, verstrline, re.M)
if mo:
verstr = mo.group(1)
else:
raise RuntimeError("Unable to find version string in %s." % (VERSIONFILE,))
# Dependencies of GPflow
dependencies = ['numpy>=1.9', 'scipy>=0.16']
min_tf_version = '1.0.0'
# Only detect TF if not installed or outdated. If not, do not do not list as
# requirement to avoid installing over e.g. tensorflow-gpu
# To avoid this, rely on importing rather than the package name (like pip).
try:
# If tf not installed, import raises ImportError
import tensorflow as tf
if parse_version(tf.__version__) < parse_version(min_tf_version):
# TF pre-installed, but below the minimum required version
raise DeprecationWarning("TensorFlow version below minimum requirement")
except (ImportError, DeprecationWarning) as e:
# Add TensorFlow to dependencies to trigger installation/update
dependencies.append('tensorflow>={0}'.format(min_tf_version))
packages = find_packages('.')
packages.remove('testing')
setup(name='gpflow',
version=verstr,
author="James Hensman, Alex Matthews",
author_email="james.hensman@gmail.com",
description=("Gaussian process methods in tensorflow"),
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="http://github.com/GPflow/gpflow",
packages=packages,
install_requires=dependencies,
package_data={'gpflow': ['gpflow/gpflowrc']},
include_package_data=True,
test_suite='testing',
extras_require={'tensorflow with gpu': ['tensorflow-gpu>=1.0.0'],
'Export parameters as pandas dataframes': ['pandas>=0.18.1']},
classifiers=['License :: OSI Approved :: Apache Software License',
'Natural Language :: English',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Topic :: Scientific/Engineering :: Artificial Intelligence'])
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