class_docstr: Class to compile results from static turn annotations.
  
  Change PROBLEM_BUCKETS in task_config/annotations_config.json to be the buckets that
  you are asking crowdsource workers to annotate with.
  
  NOTE this script directly accesses Mephisto files rather than using the DataBrowser.
  This makes it fragile and not a great example for extension. It is a good candidate
  for refactor.
class_docstr_tok: ["Class","to","compile","results","from","static","turn","annotations",".","Change","PROBLEM_BUCKETS","in","task_config\/annotations_config.json","to","be","the","buckets","that","you","are","asking","crowdsource","workers","to","annotate","with",".","NOTE","this","script","directly","accesses","Mephisto","files","rather","than","using","the","DataBrowser",".","This","makes","it","fragile","and","not","a","great","example","for","extension",".","It","is","a","good","candidate","for","refactor","."]
docstr: Add additional columns to the results dataframe.
  
  If you wish to add additional columns to the results dataframe, use the input
  utterance dict `utt` to define new keys in `row`, which will form one row in the
  final results dataframe.
docstr_tok: ["Add","additional","columns","to","the","results","dataframe",".","If","you","wish","to","add","additional","columns","to","the","results","dataframe",",","use","the","input","utterance","dict","`","utt","`","to","define","new","keys","in","`","row","`",",","which","will","form","one","row","in","the","final","results","dataframe","."]
code: def _add_additional_columns(
      self, row: Dict[str, Any], utt: dict
  ) -> Dict[str, Any]:
      """
      Add additional columns to the results dataframe.
  
      If you wish to add additional columns to the results dataframe, use the input
      utterance dict `utt` to define new keys in `row`, which will form one row in the
      final results dataframe.
      """
      _ = utt
      # The utt dict isn't used here, but may be used in subclasses.
      return row
  
imports: import copy
  import json
  import os
  from datetime import datetime
  from typing import Any, Dict, Optional, Tuple
  import numpy
  import pandas
  from parlai.crowdsourcing.utils.analysis import AbstractTurnAnnotationResultsCompiler
label_desc: Use image node_id 11 for calling the TurnAnnotationsStaticResultsCompiler obj's underlying member method code with example usage: obj._add_additional_columns(row, utt) and returns: row