old_contents: #!/usr/bin/env python
  import multiprocessing.pool
  import os
  
  from setuptools import setup, find_packages, distutils
  
  this_file = os.path.dirname(__file__)
  
  
  # monkey-patch for parallel compilation
  # See: https://stackoverflow.com/a/13176803
  def parallelCCompile(self,
                       sources,
                       output_dir=None,
                       macros=None,
                       include_dirs=None,
                       debug=0,
                       extra_preargs=None,
                       extra_postargs=None,
                       depends=None):
      # those lines are copied from distutils.ccompiler.CCompiler directly
      macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
          output_dir, macros, include_dirs, sources, depends, extra_postargs)
      cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
  
      # parallel code
      def _single_compile(obj):
          try:
              src, ext = build[obj]
          except KeyError:
              return
          self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
  
      # convert to list, imap is evaluated on-demand
      thread_pool = multiprocessing.pool.ThreadPool(4)
      list(thread_pool.imap(_single_compile, objects))
      return objects
  
  
  # hack compile to support parallel compiling
  distutils.ccompiler.CCompiler.compile = parallelCCompile
  setup(
      name="ctcdecode",
      version="0.1",
      description="CTC Decoder for PyTorch based on Paddle Paddle's implementation",
      url="https://github.com/parlance/ctcdecode",
      author="Ryan Leary",
      author_email="ryanleary@gmail.com",
      install_requires=["cffi>=1.0.0"],
      setup_requires=["cffi>=1.0.0"],
      # Exclude the build files.
      packages=find_packages(exclude=["build"]),
      ext_package="",
      cffi_modules=[
          os.path.join(this_file, "build.py:ffi")
      ]
  )
  
new_contents: #!/usr/bin/env python
  import multiprocessing.pool
  import os
  
  from setuptools import setup, find_packages, distutils
  
  this_file = os.path.dirname(__file__)
  
  
  # monkey-patch for parallel compilation
  # See: https://stackoverflow.com/a/13176803
  def parallelCCompile(self,
                       sources,
                       output_dir=None,
                       macros=None,
                       include_dirs=None,
                       debug=0,
                       extra_preargs=None,
                       extra_postargs=None,
                       depends=None):
      # those lines are copied from distutils.ccompiler.CCompiler directly
      macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
          output_dir, macros, include_dirs, sources, depends, extra_postargs)
      cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
  
      # parallel code
      def _single_compile(obj):
          try:
              src, ext = build[obj]
          except KeyError:
              return
          self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
  
      # convert to list, imap is evaluated on-demand
      thread_pool = multiprocessing.pool.ThreadPool(4)
      list(thread_pool.imap(_single_compile, objects))
      return objects
  
  
  # hack compile to support parallel compiling
  distutils.ccompiler.CCompiler.compile = parallelCCompile
  setup(
      name="ctcdecode",
      version="0.3",
      description="CTC Decoder for PyTorch based on Paddle Paddle's implementation",
      url="https://github.com/parlance/ctcdecode",
      author="Ryan Leary",
      author_email="ryanleary@gmail.com",
      install_requires=["cffi>=1.0.0"],
      setup_requires=["cffi>=1.0.0"],
      # Exclude the build files.
      packages=find_packages(exclude=["build"]),
      ext_package="",
      cffi_modules=[
          os.path.join(this_file, "build.py:ffi")
      ]
  )
  
subject: Increment version correctly