old_contents: """
  Copyright 2013 Steven Diamond
  
  This file is part of CVXPY.
  
  CVXPY 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, either version 3 of the License, or
  (at your option) any later version.
  
  CVXPY 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 CVXPY.  If not, see <http://www.gnu.org/licenses/>.
  """
  
  from setuptools import setup
  
  setup(
      name='cvxpy',
      version='0.4.8',
      author='Steven Diamond, Eric Chu, Stephen Boyd',
      author_email='stevend2@stanford.edu, echu508@stanford.edu, boyd@stanford.edu',
      packages=['cvxpy',
                'cvxpy.atoms',
                'cvxpy.atoms.affine',
                'cvxpy.atoms.elementwise',
                'cvxpy.constraints',
                'cvxpy.expressions',
                'cvxpy.expressions.constants',
                'cvxpy.expressions.variables',
                'cvxpy.interface',
                'cvxpy.interface.numpy_interface',
                'cvxpy.lin_ops',
                'cvxpy.problems',
                'cvxpy.problems.problem_data',
                'cvxpy.problems.solvers',
                'cvxpy.reductions',
                'cvxpy.reductions.dcp2cone',
                'cvxpy.reductions.dcp2cone.atom_canonicalizers',
                'cvxpy.tests',
                'cvxpy.transforms',
                'cvxpy.utilities'],
      package_dir={'cvxpy': 'cvxpy'},
      url='http://github.com/cvxgrp/cvxpy/',
      license='GPLv3',
      zip_safe=False,
      description='A domain-specific language for modeling convex optimization problems in Python.',
      install_requires=["ecos >= 2",
                        "scs >= 1.1.3",
                        "multiprocess",
                        "fastcache",
                        "six",
                        "toolz",
                        "numpy >= 1.9",
                        "scipy >= 0.15",
                        "CVXcanon >= 0.0.22",
                        "mathprogbasepy >= 0.1.1"],
      use_2to3=True,
  )
  
new_contents: from setuptools import setup
  
  setup(
      name='cvxpy',
      version='0.4.8',
      author='Steven Diamond, Eric Chu, Stephen Boyd',
      author_email='stevend2@stanford.edu, echu508@stanford.edu, boyd@stanford.edu',
      packages=['cvxpy',
                'cvxpy.atoms',
                'cvxpy.atoms.affine',
                'cvxpy.atoms.elementwise',
                'cvxpy.constraints',
                'cvxpy.expressions',
                'cvxpy.expressions.constants',
                'cvxpy.expressions.variables',
                'cvxpy.interface',
                'cvxpy.interface.numpy_interface',
                'cvxpy.lin_ops',
                'cvxpy.problems',
                'cvxpy.problems.problem_data',
                'cvxpy.problems.solvers',
                'cvxpy.reductions',
                'cvxpy.reductions.dcp2cone',
                'cvxpy.reductions.dcp2cone.atom_canonicalizers',
                'cvxpy.tests',
                'cvxpy.transforms',
                'cvxpy.utilities'],
      package_dir={'cvxpy': 'cvxpy'},
      url='http://github.com/cvxgrp/cvxpy/',
      license='GPLv3',
      zip_safe=False,
      description='A domain-specific language for modeling convex optimization problems in Python.',
      install_requires=["ecos >= 2",
                        "scs >= 1.1.3",
                        "multiprocess",
                        "fastcache",
                        "six",
                        "toolz",
                        "numpy >= 1.9",
                        "scipy >= 0.15",
                        "CVXcanon >= 0.0.22",
                        "mathprogbasepy >= 0.1.1"],
      use_2to3=True,
  )
  
subject: remove copyright from setup.py