code: def test_make_prediction_texts(self) -> None:
      # Negative Case: Empty request batch test in List[] format
      with self.assertRaises(RuntimeError):
          make_prediction_texts([])
  
      # Negative Case: Empty request batch test in List[Tuple([List[str]])] format
      with self.assertRaises(RuntimeError):
          make_prediction_texts([([],)])
  
      # Negative Case: None as input
      with self.assertRaises(TypeError):
          make_prediction_texts(None)
  
      # Negative Case: Bad batch text format with List[Tuple()]
      with self.assertRaises(IndexError):
          make_prediction_texts([()])
  
      # Positve Case
      multiple_texts_request_batch = [
          (
              [
                  "First Line Text",
                  "Other Text",
              ],
          ),
          (
              [
                  "Second Line Text",
              ],
          ),
      ]
      self.assertEqual(
          make_prediction_texts(multiple_texts_request_batch),
          ["First Line Text", "Other Text", "Second Line Text"],
      )
  
imports: import unittest
  import torch
  from pytext.torchscript.batchutils import destructure_any_list, destructure_dict_list, destructure_tensor_list, make_prediction_texts, make_prediction_texts_dense, make_prediction_tokens, zip_batch_any_list_list, zip_batch_tensor_list
label_desc: Use image node_id 15 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_make_prediction_texts() without return types