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
      """
      return {"acc": mean}
  
imports: import numpy
  from lm_eval.base import rf, Task
  from lm_eval.metrics import mean
label_desc: Use image node_id 13 for calling the ANLIBase obj's underlying member method code with example usage: obj.aggregation() and returns: dict