import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testCsvRecordReader() throws Exception {
    SerializerInstance si = sc.env().serializer().newInstance();
    assertTrue(si instanceof KryoSerializerInstance);

    RecordReader r1 = new CSVRecordReader(1,'\t');
    RecordReader r2 = serDe(r1, si);

    File f = new ClassPathResource("iris_tab_delim.txt").getFile();
    r1.initialize(new FileSplit(f));
    r2.initialize(new FileSplit(f));

    while(r1.hasNext()){
        assertEquals(r1.next(), r2.next());
    }
    assertFalse(r2.hasNext());
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testJavaTypes() {

    Map<Object, Object> m = new HashMap<>();
    m.put("key", "value");

    SerializerInstance si = sc.env().serializer().newInstance();

    testSerialization(Collections.singletonMap("key", "value"), si);
    testSerialization(Collections.synchronizedMap(m), si);
    testSerialization(Collections.emptyMap(), si);
    testSerialization(new ConcurrentHashMap<>(m), si);
    testSerialization(Collections.unmodifiableMap(m), si);

    testSerialization(Arrays.asList("s"), si);
    testSerialization(Collections.singleton("s"), si);
    testSerialization(Collections.synchronizedList(Arrays.asList("s")), si);
    testSerialization(Collections.emptyList(), si);
    testSerialization(new CopyOnWriteArrayList<>(Arrays.asList("s")), si);
    testSerialization(Collections.unmodifiableList(Arrays.asList("s")), si);

    testSerialization(Collections.singleton("s"), si);
    testSerialization(Collections.synchronizedSet(new HashSet<>(Arrays.asList("s"))), si);
    testSerialization(Collections.emptySet(), si);
    testSerialization(Collections.unmodifiableSet(new HashSet<>(Arrays.asList("s"))), si);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testSerializationPrimitives(){

    Counter<Integer> c = new Counter<>();
    c.incrementCount(5, 3.0);

    CounterMap<Integer,Double> cm = new CounterMap<>();
    cm.setCount(7, 3.0, 4.5);

    Object[] objs = new Object[]{
            new AtomicBoolean(true),
            new AtomicBoolean(false),
            new AtomicDouble(5.0),
            c,
            cm,
            new ImmutablePair<>(5,3.0),
            new ImmutableQuad<>(1,2.0,3.0f,4L),
            new ImmutableTriple<>(1,2.0,3.0f),
            new Pair<>(5, 3.0),
            new Quad<>(1,2.0,3.0f,4L),
            new Triple<>(1,2.0,3.0f)};


    SerializerInstance si = sc.env().serializer().newInstance();

    for (Object o : objs) {
        System.out.println(o.getClass());
        //System.out.println(ie.getClass());
        testSerialization(o, si);
    }
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
private <T> void testSerialization(T in, SerializerInstance si) {
        ByteBuffer bb = si.serialize(in, null);
        T deserialized = (T)si.deserialize(bb, null);

//        assertEquals(in, deserialized);
        boolean equals = in.equals(deserialized);
        assertTrue(in.getClass() + "\t" + in.toString(), equals);
    }
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
private <T> void testSerialization(T in, SerializerInstance si) {
    ByteBuffer bb = si.serialize(in, null);
    T deserialized = (T)si.deserialize(bb, null);

    boolean equals = in.equals(deserialized);
    assertTrue(in.getClass() + "\t" + in.toString(), equals);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testSerializationEvaluation() {

    Evaluation e = new Evaluation();
    e.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.5, 0.3}));

    EvaluationBinary eb = new EvaluationBinary();
    eb.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.6, 0.3}));

    ROC roc = new ROC(30);
    roc.eval(Nd4j.create(new double[] {1}), Nd4j.create(new double[] {0.2}));
    ROC roc2 = new ROC();
    roc2.eval(Nd4j.create(new double[] {1}), Nd4j.create(new double[] {0.2}));

    ROCMultiClass rocM = new ROCMultiClass(30);
    rocM.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.5, 0.3}));
    ROCMultiClass rocM2 = new ROCMultiClass();
    rocM2.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.5, 0.3}));

    ROCBinary rocB = new ROCBinary(30);
    rocB.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.6, 0.3}));

    ROCBinary rocB2 = new ROCBinary();
    rocB2.eval(Nd4j.create(new double[] {1, 0, 0}), Nd4j.create(new double[] {0.2, 0.6, 0.3}));

    RegressionEvaluation re = new RegressionEvaluation();
    re.eval(Nd4j.rand(1, 5), Nd4j.rand(1, 5));

    IEvaluation[] evaluations = new IEvaluation[] {new Evaluation(), e, new EvaluationBinary(), eb, new ROC(), roc,
                    roc2, new ROCMultiClass(), rocM, rocM2, new ROCBinary(), rocB, rocB2,
                    new RegressionEvaluation(), re};

    SerializerInstance si = sc.env().serializer().newInstance();

    for (IEvaluation ie : evaluations) {
        //System.out.println(ie.getClass());
        testSerialization(ie, si);
    }
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testScalaCollections() {
    //Scala collections should already work with Spark + kryo; some very basic tests to check this is still the case
    SerializerInstance si = sc.env().serializer().newInstance();

    scala.collection.immutable.Map<Integer, String> emptyImmutableMap =
                    scala.collection.immutable.Map$.MODULE$.empty();
    testSerialization(emptyImmutableMap, si);

    Map<Integer, Double> m = new HashMap<>();
    m.put(0, 1.0);

    scala.collection.Map<Integer, Double> m2 = JavaConversions.mapAsScalaMap(m);
    testSerialization(m2, si);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
private <T> T serDe(T in, SerializerInstance si){
    ByteBuffer bb = si.serialize(in, null);
    return (T)si.deserialize(bb, null);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Override
public SerializerInstance newInstance() {
    return new GryoSerializerInstance(this);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Test
public void testSerializationConfigurations() {

    SerializerInstance si = sc.env().serializer().newInstance();

    //Check network configurations:
    Map<Integer, Double> m = new HashMap<>();
    m.put(0, 0.5);
    m.put(10, 0.1);
    MultiLayerConfiguration mlc = new NeuralNetConfiguration.Builder()
                    .updater(new Nadam(new MapSchedule(ScheduleType.ITERATION,m))).list().layer(0, new OutputLayer.Builder().nIn(10).nOut(10).build())
                    .build();

    testSerialization(mlc, si);


    ComputationGraphConfiguration cgc = new NeuralNetConfiguration.Builder().weightInit(WeightInit.DISTRIBUTION)
                    .dist(new UniformDistribution(-1, 1))
                    .updater(new Adam(new MapSchedule(ScheduleType.ITERATION,m)))
                    .graphBuilder()
                    .addInputs("in").addLayer("out", new OutputLayer.Builder().nIn(10).nOut(10).build(), "in")
                    .setOutputs("out").build();

    testSerialization(cgc, si);


    //Check main layers:
    Layer[] layers = new Layer[] {new OutputLayer.Builder().nIn(10).nOut(10).build(),
                    new RnnOutputLayer.Builder().nIn(10).nOut(10).build(), new LossLayer.Builder().build(),
                    new CenterLossOutputLayer.Builder().nIn(10).nOut(10).build(),
                    new DenseLayer.Builder().nIn(10).nOut(10).build(),
                    new ConvolutionLayer.Builder().nIn(10).nOut(10).build(), new SubsamplingLayer.Builder().build(),
                    new Convolution1DLayer.Builder(2, 2).nIn(10).nOut(10).build(),
                    new ActivationLayer.Builder().activation(Activation.TANH).build(),
                    new GlobalPoolingLayer.Builder().build(), new GravesLSTM.Builder().nIn(10).nOut(10).build(),
                    new LSTM.Builder().nIn(10).nOut(10).build(), new DropoutLayer.Builder(0.5).build(),
                    new BatchNormalization.Builder().build(), new LocalResponseNormalization.Builder().build()};

    for (Layer l : layers) {
        testSerialization(l, si);
    }

    //Check graph vertices
    GraphVertex[] vertices = new GraphVertex[] {new ElementWiseVertex(ElementWiseVertex.Op.Add),
                    new L2NormalizeVertex(), new LayerVertex(null, null), new MergeVertex(), new PoolHelperVertex(),
                    new PreprocessorVertex(new CnnToFeedForwardPreProcessor(28, 28, 1)),
                    new ReshapeVertex(new int[] {1, 1}), new ScaleVertex(1.0), new ShiftVertex(1.0),
                    new SubsetVertex(1, 1), new UnstackVertex(0, 2), new DuplicateToTimeSeriesVertex("in1"),
                    new LastTimeStepVertex("in1")};

    for (GraphVertex gv : vertices) {
        testSerialization(gv, si);
    }
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
@Override
public SerializerInstance newInstance() {
    return new SpliceKryoSerializerInstance(this);
}
 

import org.apache.spark.serializer.SerializerInstance; //导入依赖的package包/类
/**
 * Takes an input object and returns the value of the object after it has been serialized and then deserialized in Kryo.
 * Requires the class of the input object as a parameter because it's not generally possible to get the class of a
 * generified method parameter with reflection.
 *
 * @param input instance of inputClazz.  Never {@code null}
 * @param inputClazz class to cast input
 * @param conf Spark configuration to test
 * @param <T> class to attempt.  Same or subclass of inputClazz
 * @return serialized and deserialized instance of input.  Throws exception if serialization round trip fails.
 */
public static <T> T roundTripInKryo(final T input, final Class<?> inputClazz, final SparkConf conf) {
    Utils.nonNull(input);
    final KryoSerializer kryoSerializer = new KryoSerializer(conf);
    final SerializerInstance sparkSerializer = kryoSerializer.newInstance();
    final ClassTag<T> tag = ClassTag$.MODULE$.apply(inputClazz);
    return sparkSerializer.deserialize(sparkSerializer.serialize(input, tag), tag);
}