def calculate_stats(self):
    """
    Calculate stats with different function depending on the metric type:
    Data is recorded in memory for base metric type, and use calculate_base_metric_stats()
    Data is recorded in CSV file for other metric types, and use calculate_other_metric_stats()

    """
    metric_type = self.metric_type.split('-')[0]
    if metric_type in naarad.naarad_imports.metric_classes or metric_type in naarad.naarad_imports.aggregate_metric_classes:
      self.calculate_other_metric_stats()
    else:
      self.calculate_base_metric_stats()
def calculate_stats(self):
    """
    Calculate stats with different function depending on the metric type:
    Data is recorded in memory for base metric type, and use calculate_base_metric_stats()
    Data is recorded in CSV file for other metric types, and use calculate_other_metric_stats()

    """
    metric_type = self.metric_type.split('-')[0]
    if metric_type in naarad.naarad_imports.metric_classes or metric_type in naarad.naarad_imports.aggregate_metric_classes:
      self.calculate_other_metric_stats()
    else:
      self.calculate_base_metric_stats()
def calculate_stats ( self ) : metric_type = self . metric_type . split ( '-' ) [ 0 ] if metric_type in naarad . naarad_imports . metric_classes or metric_type in naarad . naarad_imports . aggregate_metric_classes : self . calculate_other_metric_stats ( ) else : self . calculate_base_metric_stats ( )
Calculate stats with different function depending on the metric type:
    Data is recorded in memory for base metric type, and use calculate_base_metric_stats()
    Data is recorded in CSV file for other metric types, and use calculate_other_metric_stats()
Calculate stats with different function depending on the metric type : Data is recorded in memory for base metric type and use calculate_base_metric_stats () Data is recorded in CSV file for other metric types and use calculate_other_metric_stats ()