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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _CreateDictReader(self, line_reader):
 """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. """

    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))