class_docstr: Dummy implementation of distributed workers with buffer creates the workers as a list. Once the outputs are to
  be collected, it simply rolls them out in a loop until is has enough to be added to the buffer.
docstr: Nothing to do in dummy implementation
docstr_tok: ["Nothing","to","do","in","dummy","implementation"]
code: def stop(self) -> None:
      """Nothing to do in dummy implementation"""
      pass
  
file_path: maze/maze/train/parallelization/distributed_actors/dummy_distributed_workers_with_buffer.py
imports: import time
  from typing import Tuple, Dict
  from maze.core.annotations import override
  from maze.core.rollout.rollout_generator import RolloutGenerator
  from maze.perception.perception_utils import convert_to_torch
  from maze.train.parallelization.broadcasting_container import BroadcastingContainer
  from maze.train.parallelization.distributed_actors.base_distributed_workers_with_buffer import BaseDistributedWorkersWithBuffer
label_desc: Use image node_id 3 for calling the DummyDistributedWorkersWithBuffer obj's underlying member method code with example usage: obj.stop() without return types