### Question:
NeuralNetwork implements Serializable { public static NeuralNetwork load(String filePath) { ObjectInputStream oistream = null; try { File file = new File(filePath); if (!file.exists()) { throw new FileNotFoundException("Cannot find file: " + filePath); } oistream = new ObjectInputStream(new BufferedInputStream(new FileInputStream(filePath))); NeuralNetwork nnet = (NeuralNetwork) oistream.readObject(); return nnet; } catch (IOException ioe) { throw new NeurophException("Could not read neural network file!", ioe); } catch (ClassNotFoundException cnfe) { throw new NeurophException("Class not found while trying to read neural network from file!", cnfe); } finally { if (oistream != null) { try { oistream.close(); } catch (IOException ioe) { } } } } 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 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); String[] getOutputLabels(); 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:
@SuppressWarnings("unchecked") @Test public void testLoad() { instance.addLayer(Mockito.mock(Layer.class)); instance.save("test.nnet"); NeuralNetwork<LearningRule> nn1; try { nn1 = NeuralNetwork.load(new FileInputStream("test.nnet")); assertTrue(instance.getLayers().size() == nn1.getLayers().size()); } catch (FileNotFoundException e) { } }