code: def fetch_result(self, trial):
          
          trial_future = self._find_item(self._running, trial)
          if not trial_future:
              raise ValueError("Trial was not running.")
          self._running.pop(trial_future[0])
          with warn_if_slow("fetch_result"):
              result = ray.get(trial_future[0])
  
          # For local mode
          if isinstance(result, _LocalWrapper):
              result = result.unwrap()
          return result
docs: Fetches one result of the running trials.
  
          Returns:
              Result of the most recent trial training run.