code: def test_tp_inference(model_name):
      """
      Full circle test with torchserve
      """
  
      response = requests.post(
          url=f"http://localhost:8080/predictions/{model_name}",
          data=json.dumps(42),
      )
  
      assert response.headers["Transfer-Encoding"] == "chunked"
  
      prediction = ""
      for chunk in response.iter_content(chunk_size=None):
          if chunk:
              prediction += chunk.decode("utf-8")
  
      assert prediction == "0" + str(4 * 42)
      # assert response.text == "0" + str(4 * 42)
  
      assert response.status_code == 200
  
file_path: serve/test/pytest/test_parallelism.py
imports: import json
  import platform
  import shutil
  from pathlib import Path
  from unittest.mock import patch
  import pytest
  import requests
  import test_utils
  from model_archiver import ModelArchiverConfig
label_desc: Use image node_id 5 for calling a global function with example usage: test_tp_inference(model_name) without return types