code: def test_handle_explain(context, image_bytes, handler):
      context.explain = True
      test_data = [{"data": image_bytes, "target": 0}] * 2
      results = handler.handle(test_data, context)
      assert len(results) == 2
      assert results[0]
  
file_path: serve/ts/torch_handler/unit_tests/test_image_classifier.py
imports: import sys
  from pathlib import Path
  import pytest
  from torchvision.models.resnet import ResNet18_Weights
  from ts.torch_handler.image_classifier import ImageClassifier
  from .test_utils.mock_context import MockContext
  from .test_utils.model_dir import copy_files, download_model
label_desc: Use image node_id 7 for calling a global function with example usage: test_handle_explain(context, image_bytes, handler) without return types