code: def test_multiple_output_types_only_namedtuple(self):
      class NamedTupleOutputType(NamedTuple):
          y: torch.Tensor
          z: torch.Tensor
  
      class MultipleOutputTypesWithNamedTuple(Typing):
          @property
          def output_types(self):
              return {
                  "y": NeuralType(("B",), ElementType()),
                  "z": NeuralType(("B",), ElementType()),
              }
  
          @typecheck()
          def __call__(self, x):
              y = x + 1
              z = x + 2
              return NamedTupleOutputType(y=y, z=z)
  
      obj = MultipleOutputTypesWithNamedTuple()
      result = obj(x=torch.zeros(10))
  
      assert result.y.sum() == torch.tensor(10.0)
      assert (
          result.y.neural_type.compare(
              NeuralType(("B",), ElementType())
          )
          == NeuralTypeComparisonResult.SAME
      )
  
      assert result.z.sum() == torch.tensor(20.0)
      assert (
          result.z.neural_type.compare(
              NeuralType(("B",), ElementType())
          )
          == NeuralTypeComparisonResult.SAME
      )
  
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 7 for calling the TestNeuralTypeCheckSystem obj's underlying member method code with example usage: obj.test_multiple_output_types_only_namedtuple() and returns: dict, NamedTupleOutputType