class_docstr: Mock Algorithm for use in tests.
class_docstr_tok: ["Mock","Algorithm","for","use","in","tests","."]
code: def step(self):
      if (
          self.config.mock_error
          and self.iteration == 1
          and (self.config.persistent_error or not self.restored)
      ):
          raise Exception("mock error")
      if self.config.sleep:
          time.sleep(self.config.sleep)
      result = dict(
          episode_reward_mean=10,
          episode_len_mean=10,
          timesteps_this_iter=10,
          info={},
      )
      if self.config.user_checkpoint_freq > 0 and self.iteration > 0:
          if self.iteration % self.config.user_checkpoint_freq == 0:
              result.update({tune_result.SHOULD_CHECKPOINT: True})
      return result
  
imports: import os
  import pickle
  import time
  import numpy
  from ray.tune import result
  from ray.rllib.algorithms.algorithm import Algorithm, AlgorithmConfig
  from ray.rllib.utils.annotations import override
label_desc: Use image node_id 4 for calling the _MockTrainer obj's underlying member method code with example usage: obj.step() and returns: result