docstr: Combines multiple evaluation dict outputs into one dict
  Ex: combines eval dicts for HasAns F1, NoAnsF1, and Total F1
docstr_tok: ["Combines","multiple","evaluation","dict","outputs","into","one","dict","Ex",":","combines","eval","dicts","for","HasAns","F1",",","NoAnsF1",",","and","Total","F1"]
code: def merge_eval_dicts(eval_dicts):
      """
      Combines multiple evaluation dict outputs into one dict
      Ex: combines eval dicts for HasAns F1, NoAnsF1, and Total F1
      """
  
      merged_dict = collections.OrderedDict()
      for eval_dict in eval_dicts:
          for key in eval_dict:
              merged_dict[key] = eval_dict[key]
  
      return merged_dict
  
imports: import collections
  import json
  import re
  import string
  import torch
  from tqdm import tqdm
  from nemo.collections.nlp.parts.utils_funcs import tensor2list
  from nemo.utils import logging
label_desc: Use image node_id 11 for calling the QAMetrics obj's underlying member method code with example usage: obj.merge_eval_dicts(eval_dicts) and returns: merged_dict