code: def __init__(
      self,
      parent_handler,
      micro_batch_size: int = 1,
      parallelism: Dict = None,
  ):
      self.handler = parent_handler
      self.micro_batch_size = micro_batch_size
      self._parallelism = parallelism if parallelism is not None else {}
      self.thread_groups = {c: [] for c in HANDLER_METHODS}
      self.queues = {}
      self.thread_local_data = threading.local()
      self.terminate = threading.Event()
      self._create_queues()
      self._update_threads()
  
imports: import os
  import queue
  import threading
  import time
  from copy import copy
  from dataclasses import dataclass
  from typing import Dict
label_desc: Use image node_id 1 to create a new MicroBatching object from inherited base classes: object with example: obj = MicroBatching(parent_handler, micro_batch_size, parallelism)