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","."]
code: def get_results_path_base(self) -> str:
      now = datetime.now()
      return os.path.join(
          self.output_folder,
          f'{self.FILENAME_STUB}_{now.strftime("%Y%m%d_%H%M%S")}',
      )
  
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 4 for calling the TurnAnnotationsStaticResultsCompiler obj's underlying member method code with example usage: obj.get_results_path_base() and returns: os