code: def test_make_prediction_texts_dense(self) -> None:
      # Negative Case: Empty request batch test in List[] format
      with self.assertRaises(RuntimeError):
          make_prediction_texts_dense([])
  
      # Negative Case: Empty request batch test in List[Tuple([List[], List[]])] format
      with self.assertRaises(RuntimeError):
          make_prediction_texts_dense(
              [
                  (
                      [],
                      [],
                  )
              ]
          )
  
      # Negative Case: None as input
      with self.assertRaises(TypeError):
          make_prediction_texts_dense(None)
  
      # Negative Case: Bad format with List[Tuple()]
      with self.assertRaises(IndexError):
          make_prediction_texts_dense([()])
  
      # Negative Case: texts/dense client batch length mismatch
      mismatch_request_batch = [
          (
              [
                  "First Line Text",
                  "Other Text",
              ],
              [
                  [1.0],
              ],
          ),
      ]
      with self.assertRaises(RuntimeError):
          make_prediction_texts_dense(mismatch_request_batch)
  
      # Positve Case
      multiple_text_dense_request_batch = [
          (
              [
                  "First Line Text",
                  "Other Text",
              ],
              [
                  [1.0],
                  [0.0],
              ],
          ),
          (
              [
                  "Second Line Text",
              ],
              [
                  [1.0],
              ],
          ),
      ]
      self.assertEqual(
          make_prediction_texts_dense(
              multiple_text_dense_request_batch
          ),
          (
              ["First Line Text", "Other Text", "Second Line Text"],
              [[1.0], [0.0], [1.0]],
          ),
      )
  
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 16 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_make_prediction_texts_dense() without return types