text: # Copyright (C) 2012 David Rusk
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy 
  # of this software and associated documentation files (the "Software"), to 
  # deal in the Software without restriction, including without limitation the 
  # rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 
  # sell copies of the Software, and to permit persons to whom the Software is 
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in 
  # all copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING 
  # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS 
  # IN THE SOFTWARE.
  """
  Project setup.
  
  @author: drusk
  """
  
  from setuptools import setup
  
  setup(
        name="pml",
        version="0.0.1",
        
        author="David Rusk",
        author_email="drusk@uvic.ca",
        
        packages=["pml", "pml.interactive", "pml.data", "pml.supervised", 
                  "pml.supervised.decision_trees", "pml.unsupervised", 
                  "pml.tools", "pml.utils"],
        
        # Allows sample data to be loaded in shell
        package_data={"pml.interactive": ["sample_data/*"]},
        
        scripts=["scripts/pml"],
        
        url="http://github.com/drusk/pml",
        license="LICENSE",
        
        description="Simple interface to Python machine learning algorithms.",
        long_description=open("README.rst").read(),
        
        install_requires=[
                          "ipython >= 0.11",
                          "pandas >= 0.14.1",
                          "matplotlib",
                          "numpy >= 1.6.1",
                          ]
        )
  