code: def test_initialized_layer_copy(self):
      network = layers.Input(10) >> layers.Relu(5)
      network.create_variables()
  
      relu = network.layers[1]
      copied_relu = copy.copy(relu)
  
      self.assertEqual(relu.name, "relu-1")
      self.assertEqual(copied_relu.name, "relu-2")
      self.assertIsInstance(copied_relu.weight, np.ndarray)
  
      error_message = (
          "Cannot connect layer `relu-1` to layer `relu-2`, because output "
          "shape \(\(\?, 5\)\) of the first layer is incompatible with the "
          "input shape \(\(\?, 10\)\) of the second layer."
      )
      with self.assertRaisesRegexp(LayerConnectionError, error_message):
          # copied relu expects 10 input features, but network outputs 5
          layers.join(network, copied_relu)
  
imports: import copy
  import numpy
  import tensorflow
  from neupy import layers, algorithms, init
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the LayerCopyTestCase obj's underlying member method code with example usage: obj.test_initialized_layer_copy() without return types