code: def test_multi_example_inference(model_name, mixed_batch):
      """
      Full circle test with torchserve
      """
      test_data, labels = mixed_batch
  
      responses = asyncio.run(
          issue_multi_requests(model_name, test_data)
      )
  
      status_codes = [r.status_code for r in responses]
  
      assert status_codes == [200] * len(status_codes)
  
      result_entries = [json.loads(r.text) for r in responses]
  
      assert all(l in r.keys() for l, r in zip(labels, result_entries))
  
imports: import asyncio
  import json
  import random
  import shutil
  from pathlib import Path
  from unittest.mock import patch
  from zipfile import ZIP_STORED, ZipFile
  import pytest
  import requests
  import test_utils
  import yaml
  from model_archiver import ModelArchiverConfig
  from torchvision.models.resnet import ResNet18_Weights
  from ts.torch_handler.unit_tests.test_utils.model_dir import download_model
label_desc: Use image node_id 11 for calling a global function with example usage: test_multi_example_inference(model_name, mixed_batch) without return types