original_docstring: Decodes and return a list of statistics for a single row group.
docstring: Decodes and return a list of statistics for a single row group.
docstring_tokens: Decodes and return a list of statistics for a single row group .
code: def _decode_row_group_stats(self, schemas, row_group_stats):
      """Decodes and return a list of statistics for a single row group."""
      decoded = []
      assert len(schemas) == len(row_group_stats)
      for schema, stats in zip(schemas, row_group_stats):
        if stats is None:
          decoded.append(None)
          continue
        min_value = None
        max_value = None
  
        if stats.min_value is not None and stats.max_value is not None:
          min_value = decode_stats_value(schema, stats.min_value)
          max_value = decode_stats_value(schema, stats.max_value)
  
        null_count = stats.null_count
        assert null_count is not None
  
        decoded.append(ColumnStats(schema.name, min_value, max_value, null_count))
  
      assert len(decoded) == len(schemas)
      return decoded
code_tokens: def _decode_row_group_stats ( self , schemas , row_group_stats ) : decoded = [ ] assert len ( schemas ) == len ( row_group_stats ) for schema , stats in zip ( schemas , row_group_stats ) : if stats is None : decoded . append ( None ) continue min_value = None max_value = None if stats . min_value is not None and stats . max_value is not None : min_value = decode_stats_value ( schema , stats . min_value ) max_value = decode_stats_value ( schema , stats . max_value ) null_count = stats . null_count assert null_count is not None decoded . append ( ColumnStats ( schema . name , min_value , max_value , null_count ) ) assert len ( decoded ) == len ( schemas ) return decoded
short_docstring: Decodes and return a list of statistics for a single row group.
short_docstring_tokens: Decodes and return a list of statistics for a single row group .
comment: """Decodes and return a list of statistics for a single row group."""