docstr: :returns: {str: [float] -> float}
      A dictionary where keys are the names of submetrics and values are
      functions that aggregate a list of metrics
docstr_tok: [":","returns",":","{","str",":","[","float","]","-",">","float","}","A","dictionary","where","keys","are","the","names","of","submetrics","and","values","are","functions","that","aggregate","a","list","of","metrics"]
code: def aggregation(self):
      """
      :returns: {str: [float] -> float}
          A dictionary where keys are the names of submetrics and values are
          functions that aggregate a list of metrics
      """
      # TODO: implement evaluation.
      raise NotImplementedError("Evaluation not implemented")
  
file_path: lm-evaluation-harness/lm_eval/tasks/quac.py
imports: import inspect
  import lm_eval.datasets.quac.quac
  from lm_eval.base import Task
label_desc: Use image node_id 14 for calling the QuAC obj's underlying member method code with example usage: obj.aggregation() without return types