code: def test_tensor_type(self):
      tensor_val = TestTypes.TestClass(torch.tensor(3))
      self.assertEqual(self._test_list[tensor_val], 3)
      self.assertEqual(hash(tensor_val), hash((3,)))
      tensor_val_other = TestTypes.TestClass(torch.tensor(3))
      self.assertEqual(tensor_val, tensor_val_other)
      int_val_other = TestTypes.TestClass(3)
      with self.assertRaises(TypeError):
          _ = tensor_val == int_val_other
      tensor_val_other = TestTypes.TestClass(torch.tensor(4))
      self.assertNotEqual(tensor_val, tensor_val_other)
      tensor_val = TestTypes.TestClass(torch.tensor(((1, 2), (3, 4))))
      with self.assertRaises(ValueError):
          self._test_list[tensor_val] = 1
      self.assertEqual(hash(tensor_val), hash((1, 2, 3, 4)))
      tensor_val_other = TestTypes.TestClass(torch.tensor((1, 2, 3, 4)))
      self.assertNotEqual(tensor_val, tensor_val_other)
  
imports: import unittest
  from typing import Tuple, Union
  import numpy
  import torch
  from reagent.ope.estimators.types import ActionDistribution, TypeWrapper, Values
label_desc: Use image node_id 7 for calling the TestTypes obj's underlying member method code with example usage: obj.test_tensor_type() without return types