code: def test_zip_batch_tensor_list(self):
      result_list1 = [torch.tensor([0])]
      result_list2 = [torch.tensor([1])]
  
      # Negative Case : missing 2 required positional arguments: 'result_list_1' and 'result_list_2'
      with self.assertRaises(TypeError):
          zip_batch_tensor_list([])
  
      # Negative Case: None as input
      with self.assertRaises(TypeError):
          zip_batch_tensor_list(None, result_list1, result_list2)
  
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 17 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_zip_batch_tensor_list() without return types