code: def __init__(self, micro_batch_size):
      super().__init__()
      self.micro_batch_idx_set = set()
      self.handle = MicroBatching(self, micro_batch_size)
  
imports: import json
  import math
  import random
  import sys
  from pathlib import Path
  import pytest
  from torchvision.models.resnet import ResNet18_Weights
  from ts.handler_utils.micro_batching import MicroBatching
  from ts.torch_handler.image_classifier import ImageClassifier
  from ts.torch_handler.unit_tests.test_utils.mock_context import MockContext
  from ts.torch_handler.unit_tests.test_utils.model_dir import copy_files, download_model
label_desc: Use image node_id 1 to create a new MicroBatchingTestHandler object from inherited base classes: ImageClassifier with example: obj = MicroBatchingTestHandler(micro_batch_size)