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Tiago de Freitas Pereira authoredTiago de Freitas Pereira authored
setup.py 3.83 KiB
#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Mon 16 Apr 08:18:08 2012 CEST
#
# Copyright (C) Idiap Research Institute, Martigny, Switzerland
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# This file contains the python (distutils/setuptools) instructions so your
# package can be installed on **any** host system. It defines some basic
# information like the package name for instance, or its homepage.
#
# It also defines which other packages this python package depends on and that
# are required for this package's operation. The python subsystem will make
# sure all dependent packages are installed or will install them for you upon
# the installation of this package.
#
# The 'buildout' system we use here will go further and wrap this package in
# such a way to create an isolated python working environment. Buildout will
# make sure that dependencies which are not yet installed do get installed, but
# **without** requiring administrative privileges on the host system. This
# allows you to test your package with new python dependencies w/o requiring
# administrative interventions.
from setuptools import setup
# The only thing we do in this file is to call the setup() function with all
# parameters that define our package.
setup(
# This is the basic information about your project. Modify all this
# information before releasing code publicly.
name = 'bob.learn.tensorflow',
version = open("version.txt").read().rstrip(),
description = 'Hands on with tensor flow',
url = '',
license = 'BSD',
author = 'Tiago de Freitas Pereira',
author_email = 'tiago.pereira@idiap.ch',
keywords = 'tensorflow',
# If you have a better, long description of your package, place it on the
# 'doc' directory and then hook it here
long_description = open('README.rst').read(),
# This line is required for any distutils based packaging.
include_package_data = True,
# This line defines which packages should be installed when you "install"
# this package. All packages that are mentioned here, but are not installed
# on the current system will be installed locally and only visible to the
# scripts of this package. Don't worry - You won't need administrative
# privileges when using buildout.
install_requires = [
'setuptools',
'docopt',
'ipython',
'bob.db.mnist',
],
entry_points = {
# scripts should be declared using this entry:
'console_scripts': [
'train_mnist.py = bob.learn.tensorflow.script.train_mnist:main',
'train_mnist_siamese.py = bob.learn.tensorflow.script.train_mnist_siamese:main',
'train_mnist_triplet.py = bob.learn.tensorflow.script.train_mnist_triplet:main',
],
},
# Classifiers are important if you plan to distribute this package through
# PyPI. You can find the complete list of classifiers that are valid and
# useful here (http://pypi.python.org/pypi?%3Aaction=list_classifiers).
classifiers = [
'Framework :: Tensorflow',
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
)