code: def test_destructure_tensor_list_short_incomplete(self):
      tensor_list = [
          torch.tensor([0]),
          torch.tensor([1, 2, 3]),
          torch.tensor([4, 5]),
      ]
      result_tensor_list = destructure_tensor_list(
          [1, 1, 0], tensor_list
      )
      self.assertEqual(len(result_tensor_list), 3)
      self.assertEqual(len(result_tensor_list[0]), 1)
      self.assertEqual(len(result_tensor_list[1]), 1)
      self.assertEqual(len(result_tensor_list[2]), 0)
      self.assertTrue(
          torch.equal(result_tensor_list[0][0], torch.tensor([0]))
      )
      self.assertTrue(
          torch.equal(result_tensor_list[1][0], torch.tensor([1, 2, 3]))
      )
  
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 5 for calling the BatchUtilsTest obj's underlying member method code with example usage: obj.test_destructure_tensor_list_short_incomplete() without return types