code: def parse_result_line(cls, columns, line, metrics):
          
          line = IORMetricsExtractor.RE_MULTIPLE_SPACES.sub(' ', line)
          line = line.split(' ')
          operation = line[0]
          assert len(line) == len(columns)
          for i, col in enumerate(line):
              col = columns[i]
              if col in cls.METAS_IGNORED:
                  continue
              desc = cls.METAS.get(col)
              if desc is None:
                  LOGGER.warn('Unrecognized column: %s', col)
              meta = cls.get_meta_name(operation, desc.get('name') or col)
              value = desc['metric'].type(line[i])
              metrics[meta] = value
docs: Extract metrics from a result line
          :param columns: list of columns specified under line
          "Summary of all tests:"
          :param line: string of results below the columns line
          :param metrics: output dict where metrics are written