code: def test_zip_batch_tensor_list_item_verification(self):
      tensor_list_1 = [torch.tensor([0]) for i in range(2000)]
      tensor_list_2 = [torch.tensor([0]) for i in range(2000)]
  
      result_tensor_list = zip_batch_tensor_list(
          [100, 200, -1, 1, -5], tensor_list_1, tensor_list_2
      )
      self.assertEqual(len(result_tensor_list), 5)
      self.assertEqual(result_tensor_list[0], tensor_list_1[0])
      self.assertEqual(result_tensor_list[1], tensor_list_1[1])
      self.assertEqual(result_tensor_list[2], tensor_list_1[0])
      self.assertEqual(result_tensor_list[3], tensor_list_1[2])
      self.assertEqual(result_tensor_list[4], tensor_list_1[1])
  
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 18 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_zip_batch_tensor_list_item_verification() without return types