old_contents: # -*- coding: utf-8 -*-
  from distutils.core import setup
  
  setup(name="pymdptoolbox",
        version="4.0a4",
        author="Steven A. W. Cordwell",
        author_email="steven.cordwell@uqconnect.edu.au",
        url="http://code.google.com/p/pymdptoolbox/",
        description="Markov Decision Process (MDP) Toolbox",
        long_description="The MDP toolbox provides classes and functions for "
        "the resolution of descrete-time Markov Decision Processes. The list of "
        "algorithms that have been implemented includes backwards induction, "
        "linear programming, policy iteration, q-learning and value iteration "
        "along with several variations.",
        download_url="http://code.google.com/p/pymdptoolbox/downloads/list",
        classifiers=[
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"],
        platforms=["Any"],
        license="New BSD",
        
        packages=["mdptoolbox"],
        package_dir={"": "src"},
        requires=["math", "numpy", "scipy", "time"],)
  
new_contents: # -*- coding: utf-8 -*-
  from distutils.core import setup
  
  setup(name="pymdptoolbox",
        version="4",
        author="Steven A. W. Cordwell",
        author_email="steven.cordwell@uqconnect.edu.au",
        url="http://code.google.com/p/pymdptoolbox/",
        description="Markov Decision Process (MDP) Toolbox",
        long_description="The MDP toolbox provides classes and functions for "
        "the resolution of descrete-time Markov Decision Processes. The list of "
        "algorithms that have been implemented includes backwards induction, "
        "linear programming, policy iteration, q-learning and value iteration "
        "along with several variations.",
        download_url="http://code.google.com/p/pymdptoolbox/downloads/list",
        classifiers=[
            "Development Status :: 2 - Pre-Alpha",
            "Environment :: Console",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"],
        platforms=["Any"],
        license="New BSD",
        
        packages=["mdptoolbox"],
        package_dir={"": "src"},
        requires=["math", "numpy", "scipy", "time"],)
  
subject: change version number to 4 and Pre-Alpha status