code: def _metrics_reported(self, step: int) -> bool:
      return (
          self.last_metrics["eval_step"] == step
          and self.last_metrics["train_step"] == step
      )
  
imports: import json
  import logging
  import os
  from typing import Any, Dict, List, Optional, Tuple
  from transformers import TrainerCallback, TrainerControl, TrainerState, TrainingArguments
  from transformers.trainer_utils import get_last_checkpoint
  import determined
label_desc: Use image node_id 10 for calling the DetCallback obj's underlying member method code with example usage: obj._metrics_reported(step) and returns: unknown