old_contents: from coalib.bears.Bear import Bear
  from coalib.bears.BEAR_KIND import BEAR_KIND
  from coalib.settings.FunctionMetadata import FunctionMetadata
  
  
  class LocalBear(Bear):
      """
      A LocalBear is a Bear that analyzes only one file at once. It therefore can
      not analyze semantical facts over multiple files.
  
      This has the advantage that it can be highly parrallelized. In addition,
      the results from multiple bears for one file can be shown together for that
      file, which is better to grasp for the user. coala takes care of all that.
  
      Examples for LocalBear's could be:
  
      -   A SpaceConsistencyBear that checks every line for trailing whitespaces,
          tabs, etc.
      -   A VariableNameBear that checks variable names and constant names for
          certain conditions
      """
  
      @staticmethod
      def kind():
          return BEAR_KIND.LOCAL
  
      def run(self,
              filename,
              file,
              *args,
              dependency_results=None,
              **kwargs):
          """
          Handles the given file.
  
          :param filename: The filename of the file
          :param file:     The file contents as string array
          :return:         A list of Result
          """
          raise NotImplementedError("This function has to be implemented for a "
                                    "runnable bear.")
  
      @classmethod
      def get_metadata(cls):
          return FunctionMetadata.from_function(
              cls.run,
              omit={"self", "filename", "file", "dependency_results"})
  
new_contents: from coalib.bears.Bear import Bear
  from coalib.bears.BEAR_KIND import BEAR_KIND
  from coalib.settings.FunctionMetadata import FunctionMetadata
  
  
  class LocalBear(Bear):
      """
      A LocalBear is a Bear that analyzes only one file at once. It therefore can
      not analyze semantical facts over multiple files.
  
      This has the advantage that it can be highly parallelized. In addition,
      the results from multiple bears for one file can be shown together for that
      file, which is better to grasp for the user. coala takes care of all that.
  
      Examples for LocalBear's could be:
  
      -   A SpaceConsistencyBear that checks every line for trailing whitespaces,
          tabs, etc.
      -   A VariableNameBear that checks variable names and constant names for
          certain conditions
      """
  
      @staticmethod
      def kind():
          return BEAR_KIND.LOCAL
  
      def run(self,
              filename,
              file,
              *args,
              dependency_results=None,
              **kwargs):
          """
          Handles the given file.
  
          :param filename: The filename of the file
          :param file:     The file contents as string array
          :return:         A list of Result
          """
          raise NotImplementedError("This function has to be implemented for a "
                                    "runnable bear.")
  
      @classmethod
      def get_metadata(cls):
          return FunctionMetadata.from_function(
              cls.run,
              omit={"self", "filename", "file", "dependency_results"})
  
subject: Change parrallelized to parallelized