[setup] updated setup

setup.py

 #!/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, dist
+dist.Distribution(dict(setup_requires=['bob.extension']))
 
-from setuptools import setup
+from bob.extension.utils import load_requirements, find_packages
+install_requires = load_requirements()
 
 # The only thing we do in this file is to call the setup() function with all
 # parameters that define our package.
@@ -43,58 +16,71 @@ setup(
     # information before releasing code publicly.
     name = 'bob.learn.pytorch',
     version = open("version.txt").read().rstrip(),
-    description = 'Various GAN to generate face images',
-    url = 'https://gitlab.idiap.ch/heusch/bob.learn.pytorch',
+    description = 'Bob bindings for PyTorch',
+    url = 'https://gitlab.idiap.ch/bob/bob.learn.pytorch',
     license = 'BSD',
     author = 'Guillaume Heusch',
     author_email = 'guillaume.heusch@idiap.ch',
     keywords = 'pytorch',
-
+    
     # 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.
+    packages = find_packages(),
     include_package_data = True,
+    zip_safe=False,
 
     # 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',
-    ],
+    install_requires = install_requires,
+
+    # Your project should be called something like 'bob.<foo>' or
+    # 'bob.<foo>.<bar>'. To implement this correctly and still get all your
+    # packages to be imported w/o problems, you need to implement namespaces
+    # on the various levels of the package and declare them here. See more
+    # about this here:
+    # http://peak.telecommunity.com/DevCenter/setuptools#namespace-packages
+    #
+    # Our database packages are good examples of namespace implementations
+    # using several layers. You can check them out here:
+    # https://www.idiap.ch/software/bob/packages
 
+
+    # This entry defines which scripts you will have inside the 'bin' directory
+    # once you install the package (or run 'bin/buildout'). The order of each
+    # entry under 'console_scripts' is like this:
+    #   script-name-at-bin-directory = module.at.your.library:function
+    #
+    # The module.at.your.library is the python file within your library, using
+    # the python syntax for directories (i.e., a '.' instead of '/' or '\').
+    # This syntax also omits the '.py' extension of the filename. So, a file
+    # installed under 'example/foo.py' that contains a function which
+    # implements the 'main()' function of particular script you want to have
+    # should be referred as 'example.foo:main'.
+    #
+    # In this simple example we will create a single program that will print
+    # the version of bob.
     entry_points = {
 
       # scripts should be declared using this entry:
-      'console_scripts': [
-        'train_dcgan_multipie.py = bob.learn.pytorch.scripts.train_dcgan_multipie:main', 
-        'train_conditionalgan_multipie.py = bob.learn.pytorch.scripts.train_conditionalgan_multipie:main', 
-        'train_conditionalgan_casia.py = bob.learn.pytorch.scripts.train_conditionalgan_casia:main', 
-        'train_wcgan_multipie.py = bob.learn.pytorch.scripts.train_wcgan_multipie:main', 
-        'train_drgan_multipie.py = bob.learn.pytorch.scripts.train_drgan_multipie:main', 
-        'train_drgan_mpie_casia.py = bob.learn.pytorch.scripts.train_drgan_mpie_casia:main', 
-        'show_training_images.py = bob.learn.pytorch.scripts.show_training_images:main', 
-        'show_training_stats.py = bob.learn.pytorch.scripts.show_training_stats:main', 
-        'sample_drgan.py = bob.learn.pytorch.scripts.sample_drgan:main', 
-        'test_fargo.py = bob.learn.pytorch.scripts.test_fargo:main', 
+      'console_scripts' : [
         'train_cnn.py = bob.learn.pytorch.scripts.train_cnn: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 :: PyTorch',
+      'Framework :: Bob',
       'Development Status :: 3 - Alpha',
       'Intended Audience :: Developers',
-      'License :: OSI Approved ::  BSD License',
+      'License :: OSI Approved :: BSD License',
       'Natural Language :: English',
       'Programming Language :: Python',
       'Topic :: Scientific/Engineering :: Artificial Intelligence',