code: def test_port_definition_rejection(self):
      class InputPortDefinitionRejection(Typing):
          @property
          def input_types(self):
              return {"x": NeuralType(("B",), ElementType())}
  
          @property
          def output_types(self):
              return {
                  "w": NeuralType(("B",), ElementType()),
                  "u": NeuralType(("B",), ElementType()),
              }
  
          @typecheck()
          def __call__(self, x, y):
              x += 1
              y -= 1
              return x, y
  
      # Test input port mismatch
      obj = InputPortDefinitionRejection()
  
      with pytest.raises(TypeError):
          _ = obj(x=torch.zeros(10), y=torch.zeros(10))
  
      class OutputPortDefinitionRejection(Typing):
          @property
          def input_types(self):
              return {"x": NeuralType(("B",), ElementType())}
  
          @property
          def output_types(self):
              return {
                  "w": NeuralType(("B",), ElementType()),
              }
  
          @typecheck()
          def __call__(self, x):
              return x + 1, x - 1
  
      obj = OutputPortDefinitionRejection()
  
      with pytest.raises(TypeError):
          _ = obj(x=torch.zeros(10))
  
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 13 for calling the TestNeuralTypeCheckSystem obj's underlying member method code with example usage: obj.test_port_definition_rejection() and returns: dict, dict, x,  y, dict, dict, unknown,  unknown