code: def aggregate(self, major_metrics_dict: Dict[str, float]):
      return (
          np.sum(
              [
                  x * self.weights_dict[task_name]
                  for task_name, x in major_metrics_dict.items()
              ]
          )
          / self.total_weights
      )
  
imports: import abc
  import numexpr
  import numpy
  from typing import Union, Optional, Dict
label_desc: Use image node_id 2 for calling the WeightedMetricAggregator obj's underlying member method code with example usage: obj.aggregate(major_metrics_dict) and returns: unknown