code: def test_one_to_many_parallel_network_output(self):
      one_to_many = layers.join(
          layers.Input(4),
          layers.parallel(
              layers.Linear(11),
              layers.Linear(12),
              layers.Linear(13),
          ),
      )
  
      input_value = asfloat(np.random.random((10, 4)))
      actual_output = self.eval(one_to_many.output(input_value))
  
      self.assertEqual(actual_output[0].shape, (10, 11))
      self.assertEqual(actual_output[1].shape, (10, 12))
      self.assertEqual(actual_output[2].shape, (10, 13))
  
imports: import numpy
  from neupy import layers
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the DefinitionsTestCase obj's underlying member method code with example usage: obj.test_one_to_many_parallel_network_output() without return types