class_docstr: A trial class which does nothing (except for maybe sleep) during training
  and validation.  For testing purposes.
code: def save(self, path: pathlib.Path) -> None:
      if self.fail_on_chechpoint_save:
          raise Exception(self.fail_on_chechpoint_save)
      self.chaos_failure(self.chaos_probability_checkpoint)
      time.sleep(self.save_secs)
      fpath = path.joinpath(self.CHECKPOINT_FILENAME)
      logging.info(
          "Saving checkpoint {}, steps_trained {}".format(
              fpath, self.steps_trained()
          )
      )
      with fpath.open("w") as f:
          json.dump(self.trained_steps, f, sort_keys=True, indent=4)
      path.chmod(0o777)
      fpath.chmod(0o777)
  
      wlsq_path = path.joinpath("workload_sequencer.pkl")
      if self.wlsq is not None:
          with wlsq_path.open("wb") as f:
              pickle.dump(self.wlsq.get_state(), f)
  
imports: import collections
  import json
  import logging
  import os
  import pathlib
  import pickle
  import random
  import sys
  import time
  from typing import Any, Dict, Optional
  import numpy
  import determined
  from determined import layers, tensorboard, util, workload
  from determined.common import check
label_desc: Use image node_id 13 for calling the NoOpTrialController obj's underlying member method code with example usage: obj.save(path) without return types