code: def order_feature_importance_avg_from_logs(log: Dict) -> List[str]:
      d = first(gen_dict_extract("feature_importance", log))
      return sorted(d, key=d.get, reverse=True)
  
file_path: fklearn/src/fklearn/tuning/utils.py
imports: from typing import Any, Dict, Generator, List
  from toolz.curried import reduce, partial, pipe, first, curry
  from fklearn.metrics.pd_extractors import extract
  from fklearn.types import LogListType, LogType, ExtractorFnType, ValidatorReturnType, EvalReturnType
label_desc: Use image node_id 4 for calling a global function with example usage: order_feature_importance_avg_from_logs(log) and returns: sorted