code: def test_zip_batch_any_list(self):
      # Negative Case : missing 2 required positional arguments: 'result_list_1' and 'result_list_2'
      with self.assertRaises(TypeError):
          zip_batch_any_list_list([])
  
      # Negative Case: None as input
      with self.assertRaises(TypeError):
          zip_batch_any_list_list(None, [[]], [[]])
  
      with self.assertRaises(IndexError):
          zip_batch_any_list_list([1, -2, -3, 3, 0], [], [])
  
      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, 0], tensor_list_1, tensor_list_2
      )
  
      self.assertNotEqual(len(result_tensor_list), len(tensor_list_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 19 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_zip_batch_any_list() without return types