code: def test_predict_route_batching(self):
      def batch_fn(x):
          results = []
          for word in x:
              results.append(f"Hello {word}")
          return (results,)
  
      with gr.Blocks() as demo:
          text = gr.Textbox()
          btn = gr.Button()
          btn.click(
              batch_fn,
              inputs=text,
              outputs=text,
              batch=True,
              api_name="pred",
          )
  
      demo.queue(api_open=True)
      app, _, _ = demo.launch(prevent_thread_lock=True)
      client = TestClient(app)
      response = client.post("/api/pred/", json={"data": ["test"]})
      output = dict(response.json())
      assert output["data"] == ["Hello test"]
  
      app, _, _ = demo.launch(prevent_thread_lock=True)
      client = TestClient(app)
      response = client.post(
          "/api/pred/",
          json={"data": [["test", "test2"]], "batched": True},
      )
      output = dict(response.json())
      assert output["data"] == [["Hello test", "Hello test2"]]
  
imports: import functools
  import os
  import tempfile
  from contextlib import asynccontextmanager, closing
  from unittest import mock
  import gradio_client
  import numpy
  import pandas
  import pytest
  import starlette.routing
  from fastapi import FastAPI
  from fastapi.testclient import TestClient
  from gradio_client import media_data
  import gradio
  from gradio import Blocks, Button, Interface, Number, Textbox, close_all, routes, wasm_utils
  from gradio.route_utils import FnIndexInferError
label_desc: Use image node_id 12 for calling the TestRoutes obj's underlying member method code with example usage: obj.test_predict_route_batching() and returns: results