old_contents: """
  DVC
  ----
  Make your data science projects reproducible and shareable.
  """
  import os
  import warnings
  
  
  VERSION_BASE = '0.19.14'
  __version__ = VERSION_BASE
  
  PACKAGEPATH = os.path.abspath(os.path.dirname(__file__))
  HOMEPATH = os.path.dirname(PACKAGEPATH)
  VERSIONPATH = os.path.join(PACKAGEPATH, 'version.py')
  
  if os.path.exists(os.path.join(HOMEPATH, 'setup.py')):
      # dvc is run directly from source without installation or
      # __version__ is called from setup.py
      if os.getenv('APPVEYOR_REPO_TAG', '').lower() != 'true' \
         and os.getenv('TRAVIS_TAG', '') == '':
          # Dynamically update version
          try:
              import git
              repo = git.Repo(HOMEPATH)
              sha = repo.head.object.hexsha
              short_sha = repo.git.rev_parse(sha, short=6)
              dirty = '.mod' if repo.is_dirty() else ''
              __version__ = '{}+{}{}'.format(__version__, short_sha, dirty)
  
              # Write a helper file, that will be installed with the package
              # and will provide a true version of the installed dvc
              with open(VERSIONPATH, 'w+') as fd:
                  fd.write('# AUTOGENERATED by dvc/__init__.py\n')
                  fd.write('version = "{}"\n'.format(__version__))
          except Exception:  # pragma: no cover
              pass
      else:  # pragma: no cover
          # Remove version.py so that it doesn't get into the release
          if os.path.exists(VERSIONPATH):
              os.unlink(VERSIONPATH)
  else:  # pragma: no cover
      # dvc was installed with pip or something. Hopefully we have our
      # auto-generated version.py to help us provide a true version
      try:
          from dvc.version import version
          __version__ = version
      except Exception:
          pass
  
  VERSION = __version__
  
  
  # Ignore numpy's runtime warnings: https://github.com/numpy/numpy/pull/432.
  # We don't directly import numpy, but our dependency networkx does, causing
  # these warnings in some environments. Luckily these warnings are benign and
  # we can simply ignore them so that they don't show up when you are using dvc.
  warnings.filterwarnings("ignore", message="numpy.dtype size changed")
  warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
  
new_contents: """
  DVC
  ----
  Make your data science projects reproducible and shareable.
  """
  import os
  import warnings
  
  
  VERSION_BASE = '0.19.15'
  __version__ = VERSION_BASE
  
  PACKAGEPATH = os.path.abspath(os.path.dirname(__file__))
  HOMEPATH = os.path.dirname(PACKAGEPATH)
  VERSIONPATH = os.path.join(PACKAGEPATH, 'version.py')
  
  if os.path.exists(os.path.join(HOMEPATH, 'setup.py')):
      # dvc is run directly from source without installation or
      # __version__ is called from setup.py
      if os.getenv('APPVEYOR_REPO_TAG', '').lower() != 'true' \
         and os.getenv('TRAVIS_TAG', '') == '':
          # Dynamically update version
          try:
              import git
              repo = git.Repo(HOMEPATH)
              sha = repo.head.object.hexsha
              short_sha = repo.git.rev_parse(sha, short=6)
              dirty = '.mod' if repo.is_dirty() else ''
              __version__ = '{}+{}{}'.format(__version__, short_sha, dirty)
  
              # Write a helper file, that will be installed with the package
              # and will provide a true version of the installed dvc
              with open(VERSIONPATH, 'w+') as fd:
                  fd.write('# AUTOGENERATED by dvc/__init__.py\n')
                  fd.write('version = "{}"\n'.format(__version__))
          except Exception:  # pragma: no cover
              pass
      else:  # pragma: no cover
          # Remove version.py so that it doesn't get into the release
          if os.path.exists(VERSIONPATH):
              os.unlink(VERSIONPATH)
  else:  # pragma: no cover
      # dvc was installed with pip or something. Hopefully we have our
      # auto-generated version.py to help us provide a true version
      try:
          from dvc.version import version
          __version__ = version
      except Exception:
          pass
  
  VERSION = __version__
  
  
  # Ignore numpy's runtime warnings: https://github.com/numpy/numpy/pull/432.
  # We don't directly import numpy, but our dependency networkx does, causing
  # these warnings in some environments. Luckily these warnings are benign and
  # we can simply ignore them so that they don't show up when you are using dvc.
  warnings.filterwarnings("ignore", message="numpy.dtype size changed")
  warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
  
subject: update to 0.19.15