code: def test_adjoint():
      """Test that the adjoint method works"""
      dev = DummyDevice(wires=2)
      np.random.seed(42)
  
      shapes = qml.CVNeuralNetLayers.shape(n_layers=1, n_wires=2)
      weights = [np.random.random(shape) for shape in shapes]
  
      @qml.qnode(dev)
      def circuit():
          qml.CVNeuralNetLayers(*weights, wires=[0, 1])
          qml.adjoint(qml.CVNeuralNetLayers)(*weights, wires=[0, 1])
          return qml.expval(qml.QuadX(0))
  
      assert qml.math.allclose(circuit(), 0)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane import numpy
  from pennylane.devices import DefaultGaussian
label_desc: Use image node_id 4 for calling a global function with example usage: test_adjoint() and returns: qml