old_contents: #!/usr/bin/env python
  from setuptools import setup
  
  
  DISTNAME = 'pymc'
  DESCRIPTION = "PyMC 3"
  LONG_DESCRIPTION    = """Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. ``pymc`` is a python package that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. ``pymc`` includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics."""
  MAINTAINER = 'John Salvatier'
  MAINTAINER_EMAIL = 'jsalvati@u.washington.edu'
  AUTHOR = 'John Salvatier and Christopher Fonnesbeck'
  AUTHOR_EMAIL = 'chris.fonnesbeck@vanderbilt.edu'
  URL = "http://github.com/pymc-devs/pymc"
  LICENSE = "Apache License, Version 2.0"
  VERSION = "3.0"
  
  classifiers = ['Development Status :: 3 - Alpha',
                 'Programming Language :: Python',
                 'Programming Language :: Python :: 2',
                 'Programming Language :: Python :: 3',
                 'Programming Language :: Python :: 2.7',
                 'Programming Language :: Python :: 3.3',
                 'License :: OSI Approved :: Apache Software License',
                 'Intended Audience :: Science/Research',
                 'Topic :: Scientific/Engineering',
                 'Topic :: Scientific/Engineering :: Mathematics',
                 'Operating System :: OS Independent']
  
  required = ['numpy>=1.7.1', 'scipy>=0.12.0', 'matplotlib>=1.2.1',
              'Theano==0.6.0']
  
  if __name__ == "__main__":
      setup(name=DISTNAME,
            version=VERSION,
            maintainer=MAINTAINER,
            maintainer_email=MAINTAINER_EMAIL,
            description=DESCRIPTION,
            license=LICENSE,
            url=URL,
            long_description=LONG_DESCRIPTION,
            packages=['pymc', 'pymc.distributions',
                      'pymc.step_methods', 'pymc.tuning',
                      'pymc.tests', 'pymc.glm', 'pymc.examples',
                      'pymc.examples.data'],
            classifiers=classifiers,
            install_requires=required)
  
new_contents: #!/usr/bin/env python
  from setuptools import setup
  
  
  DISTNAME = 'pymc'
  DESCRIPTION = "PyMC 3"
  LONG_DESCRIPTION    = """Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. ``pymc`` is a python package that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. ``pymc`` includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics."""
  MAINTAINER = 'John Salvatier'
  MAINTAINER_EMAIL = 'jsalvati@u.washington.edu'
  AUTHOR = 'John Salvatier and Christopher Fonnesbeck'
  AUTHOR_EMAIL = 'chris.fonnesbeck@vanderbilt.edu'
  URL = "http://github.com/pymc-devs/pymc"
  LICENSE = "Apache License, Version 2.0"
  VERSION = "3.0"
  
  classifiers = ['Development Status :: 3 - Alpha',
                 'Programming Language :: Python',
                 'Programming Language :: Python :: 2',
                 'Programming Language :: Python :: 3',
                 'Programming Language :: Python :: 2.7',
                 'Programming Language :: Python :: 3.3',
                 'License :: OSI Approved :: Apache Software License',
                 'Intended Audience :: Science/Research',
                 'Topic :: Scientific/Engineering',
                 'Topic :: Scientific/Engineering :: Mathematics',
                 'Operating System :: OS Independent']
  
  required = ['numpy>=1.7.1', 'scipy>=0.12.0', 'matplotlib>=1.2.1',
              'Theano==0.6.0']
  
  if __name__ == "__main__":
      setup(name=DISTNAME,
            version=VERSION,
            maintainer=MAINTAINER,
            maintainer_email=MAINTAINER_EMAIL,
            description=DESCRIPTION,
            license=LICENSE,
            url=URL,
            long_description=LONG_DESCRIPTION,
            packages=['pymc', 'pymc.distributions',
                      'pymc.step_methods', 'pymc.tuning',
                      'pymc.tests', 'pymc.glm', 'pymc.examples'],
            package_data = {'pymc.examples': ['data/*']},
            classifiers=classifiers,
            install_requires=required)
  
subject: Install test data alongside examples; fixes https://github.com/pymc-devs/pymc/issues/531