code: def test_mixture_of_experts_problem_with_incompatible_networks(self):
      error_message = "Networks have incompatible input shapes."
      with self.assertRaisesRegexp(ValueError, error_message):
          architectures.mixture_of_experts(
              networks=self.networks + [layers.Input(10)]
          )
  
      error_message = "Networks have incompatible output shapes."
      with self.assertRaisesRegexp(ValueError, error_message):
          architectures.mixture_of_experts(
              networks=self.networks
              + [layers.Input(1) >> layers.Relu(10)]
          )
  
file_path: neupy/tests/architectures/test_mixtures_of_experts.py
imports: import copy
  import numpy
  from sklearn import datasets, preprocessing, model_selection
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from neupy.algorithms.gd import objectives
  from neupy import algorithms, layers, architectures
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the MixtureOfExpertsTestCase obj's underlying member method code with example usage: obj.test_mixture_of_experts_problem_with_incompatible_networks() without return types