code: def _CreateDictReader(self, line_reader):
      
      for line in line_reader:
        if isinstance(line, py2to3.BYTES_TYPE):
          try:
            line = codecs.decode(line, self._encoding)
          except UnicodeDecodeError as exception:
            raise errors.UnableToParseFile(
                'Unable decode line with error: {0!s}'.format(exception))
  
        stripped_line = line.strip()
        values = stripped_line.split(self.DELIMITER)
        number_of_values = len(values)
        number_of_columns = len(self.COLUMNS)
  
        if number_of_values < self.MIN_COLUMNS:
          raise errors.UnableToParseFile(
              'Expected at least {0:d} values, found {1:d}'.format(
                  self.MIN_COLUMNS, number_of_values))
  
        if number_of_values > number_of_columns:
          raise errors.UnableToParseFile(
              'Expected at most {0:d} values, found {1:d}'.format(
                  number_of_columns, number_of_values))
  
        yield dict(zip(self.COLUMNS, values))
docs: Iterates over the log lines and provide a reader for the values.
  
      Args:
        line_reader (iter): yields each line in the log file.
  
      Yields:
        dict[str, str]: column values keyed by column header.