code: def test_input_type_override(self):
      class InputTypesOverride(Typing):
          @property
          def input_types(self):
              return {"x": NeuralType(("B",), ElementType())}
  
          @typecheck()
          def __call__(self, x):
              x += 1
              return x
  
          @typecheck(
              input_types={
                  "y": NeuralType(("B",), CategoricalValuesType())
              }
          )
          def forward(self, y):
              y -= 1
              return y
  
      obj = InputTypesOverride()
      result = obj(x=torch.zeros(10))
  
      assert result.sum() == torch.tensor(10.0)
      assert hasattr(result, "neural_type") is False
  
      # Test override
      result2 = obj.forward(y=torch.zeros(10))
  
      assert result2.sum() == torch.tensor(-10.0)
      assert hasattr(result2, "neural_type") is False
  
imports: from typing import List, NamedTuple
  import pytest
  import torch
  from nemo.core import Typing, typecheck
  from nemo.core.neural_types import *
label_desc: Use image node_id 22 for calling the TestNeuralTypeCheckSystem obj's underlying member method code with example usage: obj.test_input_type_override() and returns: dict, x, y