old_contents: # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import logging
  
  from setuptools import setup
  
  readme_dir = os.path.dirname(__file__)
  readme_filename = os.path.join(readme_dir, 'README.md')
  
  try:
      with open(readme_filename, 'r') as f:
          readme = f.read()
  except:
      logging.warn("Failed to load %s" % readme_filename)
      readme = ""
  
  try:
      import pypandoc
      readme = pypandoc.convert(readme, to='rst', format='md')
  except:
      logging.warn("Conversion of long_description from MD to RST failed")
      pass
  
  if __name__ == '__main__':
      setup(
          name='fancyimpute',
          version="0.3.0",
          description="Matrix completion and feature imputation algorithms",
          author="Alex Rubinsteyn, Sergey Feldman",
          author_email="alex.rubinsteyn@gmail.com",
          url="https://github.com/hammerlab/fancyimpute",
          license="http://www.apache.org/licenses/LICENSE-2.0.html",
          classifiers=[
              'Development Status :: 3 - Alpha',
              'Environment :: Console',
              'Operating System :: OS Independent',
              'Intended Audience :: Science/Research',
              'License :: OSI Approved :: Apache Software License',
              'Programming Language :: Python',
              'Topic :: Scientific/Engineering :: Bio-Informatics',
          ],
          install_requires=[
              'six',
              'knnimpute',
              # need at least 1.10 for np.multi_dot
              'numpy>=1.10',
              'scipy',
              # used by NuclearNormMinimization
              'cvxpy',
              'scikit-learn>=0.17.1',
              # used by MatrixFactorization
              'downhill',
              'climate',
              'theano',
          ],
          long_description=readme,
          packages=['fancyimpute'],
      )
  
new_contents: # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import logging
  
  from setuptools import setup
  
  readme_dir = os.path.dirname(__file__)
  readme_filename = os.path.join(readme_dir, 'README.md')
  
  try:
      with open(readme_filename, 'r') as f:
          readme = f.read()
  except:
      logging.warn("Failed to load %s" % readme_filename)
      readme = ""
  
  try:
      import pypandoc
      readme = pypandoc.convert(readme, to='rst', format='md')
  except:
      logging.warn("Conversion of long_description from MD to RST failed")
      pass
  
  if __name__ == '__main__':
      setup(
          name='fancyimpute',
          version="0.3.1",
          description="Matrix completion and feature imputation algorithms",
          author="Alex Rubinsteyn, Sergey Feldman",
          author_email="alex.rubinsteyn@gmail.com",
          url="https://github.com/hammerlab/fancyimpute",
          license="http://www.apache.org/licenses/LICENSE-2.0.html",
          classifiers=[
              'Development Status :: 3 - Alpha',
              'Environment :: Console',
              'Operating System :: OS Independent',
              'Intended Audience :: Science/Research',
              'License :: OSI Approved :: Apache Software License',
              'Programming Language :: Python',
              'Topic :: Scientific/Engineering :: Bio-Informatics',
          ],
          install_requires=[
              'six',
              'knnimpute',
              # need at least 1.10 for np.multi_dot
              'numpy>=1.10',
              'scipy',
              # used by NuclearNormMinimization
              'cvxpy',
              'scikit-learn>=0.17.1',
              # used by MatrixFactorization
              'keras>=2.0.0',
              'tensorflow',
          ],
          long_description=readme,
          packages=['fancyimpute'],
      )
  
subject: Add missing keras and tensorflow requirements. (#47)