code: def gen_validator_log(
      eval_log: EvalReturnType, fold_num: int, test_size: int
  ) -> ValidatorReturnType:
      return {
          "validator_log": [
              {
                  "fold_num": fold_num,
                  "split_log": {"test_size": test_size},
                  "eval_results": [eval_log],
              }
          ]
      }
  
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 9 for calling a global function with example usage: gen_validator_log(eval_log, fold_num, test_size) and returns: dict