### Question:
NeuralNetwork implements Serializable { public List<Neuron> getOutputNeurons() { return this.outputNeurons; } NeuralNetwork(); void addLayer(Layer layer); void addLayer(int index, Layer layer); void removeLayer(Layer layer); void removeLayerAt(int index); List<Layer> getLayers(); Layer getLayerAt(int index); int indexOf(Layer layer); int getLayersCount(); void setInput(double... inputVector); double[] getOutput(); void calculate(); void reset(); void learn(DataSet trainingSet); void learn(DataSet trainingSet, L learningRule); void stopLearning(); void pauseLearning(); void resumeLearning(); void randomizeWeights(); void randomizeWeights(double minWeight, double maxWeight); void randomizeWeights(Random random); void randomizeWeights(WeightsRandomizer randomizer); NeuralNetworkType getNetworkType(); void setNetworkType(NeuralNetworkType type); List<Neuron> getInputNeurons(); int getInputsCount(); void setInputNeurons(List<Neuron> inputNeurons); List<Neuron> getOutputNeurons(); int getOutputsCount(); void setOutputNeurons(List<Neuron> outputNeurons); void setOutputLabels(String[] labels); L getLearningRule(); void setLearningRule(L learningRule); Double[] getWeights(); void setWeights(double[] weights); boolean isEmpty(); void createConnection(Neuron fromNeuron, Neuron toNeuron, double weightVal); @Override String toString(); void save(String filePath); static NeuralNetwork load(String filePath); static NeuralNetwork load(InputStream inputStream); static NeuralNetwork createFromFile(File file); static NeuralNetwork createFromFile(String filePath); void addPlugin(PluginBase plugin); T getPlugin(Class<T>  pluginClass); void removePlugin(Class pluginClass); String getLabel(); void setLabel(String label); synchronized void addListener(NeuralNetworkEventListener listener); synchronized void removeListener(NeuralNetworkEventListener listener); synchronized void fireNetworkEvent(NeuralNetworkEvent evt);  }### Answer:
@Test public void testGetOutputNeurons() { assertTrue(instance.getOutputNeurons().isEmpty()); Neuron n = Mockito.mock(Neuron.class); instance.setOutputNeurons(new ArrayList<Neuron>() { { add(n); } }); assertTrue(instance.getOutputNeurons().size() == 1); assertTrue(instance.getOutputNeurons().get(0) == n); }