code: def test_closed_connection(model_name_and_stdout):
      model_name, stdout = model_name_and_stdout
  
      # Empty queue
      while not stdout.empty():
          stdout.get_nowait()
  
      data = {
          "prompt": "The capital of France",
          "max_new_tokens": 500,
      }
  
      with requests.Session() as s:
          res = s.post(
              url=f"http://localhost:8080/predictions/{model_name}",
              data=json.dumps(data),
              stream=True,
          )
  
          for chunk in res.iter_content(chunk_size=None):
              # Close connection after the first id has been received
              break
  
      lines = []
      while True:
          try:
              lines.append(stdout.get(timeout=5))
          except Empty:
              assert 0, "Queue timed out"
  
          if (
              "Connection to client got closed; Removing job:"
              in lines[-1]
          ):
              break
  
      # We expect the model to only run two times at most due to the closed connection
      assert (
          len(
              list(
                  filter(
                      lambda x: "Backend received inference at" in x,
                      lines,
                  )
              )
          )
          <= 2
      )
  
file_path: serve/test/pytest/test_continuous_batching.py
imports: import json
  import shutil
  from pathlib import Path
  from queue import Empty
  from unittest.mock import patch
  from zipfile import ZIP_STORED, ZipFile
  import pytest
  import requests
  import test_utils
  import torch
  from model_archiver import ModelArchiverConfig
  from test_data.streaming.stream_handler import StreamingHandler
  from ts.torch_handler.unit_tests.test_utils.mock_context import MockContext
label_desc: Use image node_id 7 for calling a global function with example usage: test_closed_connection(model_name_and_stdout) without return types