Example usage for java.io ObjectInput readObject

Introduction

In this page you can find the example usage for java.io ObjectInput readObject.

Prototype

public Object readObject() throws ClassNotFoundException, IOException;

Source Link

Document

Read and return an object.

Usage

From source file:com.github.steveash.jg2p.align.ProbTable.java

@Override
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
    this.xyProb = (Table<String, String, Double>) in.readObject();
}

From source file:org.jfree.chart.demo.SerializationTest1.java

/**
 * Constructs a new demonstration application.
 *
 * @param title  the frame title.//from   ww w  .  j  a  v  a2  s.  c om
 */
public SerializationTest1(final String title) {

    super(title);
    this.series = new TimeSeries("Random Data", Millisecond.class);
    TimeSeriesCollection dataset = new TimeSeriesCollection(this.series);
    JFreeChart chart = createChart(dataset);

    // SERIALIZE - DESERIALIZE for testing purposes
    JFreeChart deserializedChart = null;

    try {
        final ByteArrayOutputStream buffer = new ByteArrayOutputStream();
        final ObjectOutput out = new ObjectOutputStream(buffer);
        out.writeObject(chart);
        out.close();
        chart = null;
        dataset = null;
        this.series = null;
        System.gc();

        final ObjectInput in = new ObjectInputStream(new ByteArrayInputStream(buffer.toByteArray()));
        deserializedChart = (JFreeChart) in.readObject();
        in.close();
    } catch (Exception e) {
        e.printStackTrace();
    }
    final TimeSeriesCollection c = (TimeSeriesCollection) deserializedChart.getXYPlot().getDataset();
    this.series = c.getSeries(0);
    // FINISHED TEST

    final ChartPanel chartPanel = new ChartPanel(deserializedChart);
    final JButton button = new JButton("Add New Data Item");
    button.setActionCommand("ADD_DATA");
    button.addActionListener(this);

    final JPanel content = new JPanel(new BorderLayout());
    content.add(chartPanel);
    content.add(button, BorderLayout.SOUTH);
    chartPanel.setPreferredSize(new java.awt.Dimension(500, 270));
    setContentPane(content);

}

From source file:org.apache.stratos.mock.iaas.persistence.RegistryManager.java

/**
 * Deserialize a byte array and retrieve the object.
 *
 * @param bytes bytes to be deserialized
 * @return the deserialized {@link Object}
 * @throws Exception if the deserialization is failed.
 *//*  w w w  .j  a  v a  2s.c om*/
private Object deserializeFromByteArray(byte[] bytes) throws Exception {

    ByteArrayInputStream bis = new ByteArrayInputStream(bytes);
    ObjectInput in = null;
    try {
        in = new ObjectInputStream(bis);
        return in.readObject();
    } finally {
        bis.close();
        if (in != null) {
            in.close();
        }
    }
}

From source file:org.jaqpot.algorithms.resource.Standarization.java

@POST
@Path("prediction")
public Response prediction(PredictionRequest request) {
    try {/*from   w w  w. j a v a 2  s  .  co  m*/
        if (request.getDataset().getDataEntry().isEmpty()
                || request.getDataset().getDataEntry().get(0).getValues().isEmpty()) {
            return Response.status(Response.Status.BAD_REQUEST)
                    .entity("Dataset is empty. Cannot make predictions on empty dataset.").build();
        }
        List<String> features = request.getDataset().getDataEntry().stream().findFirst().get().getValues()
                .keySet().stream().collect(Collectors.toList());
        String base64Model = (String) request.getRawModel();
        byte[] modelBytes = Base64.getDecoder().decode(base64Model);
        ByteArrayInputStream bais = new ByteArrayInputStream(modelBytes);
        ObjectInput in = new ObjectInputStream(bais);
        ScalingModel model = (ScalingModel) in.readObject();
        in.close();
        bais.close();

        List<LinkedHashMap<String, Object>> predictions = new ArrayList<>();

        for (DataEntry dataEntry : request.getDataset().getDataEntry()) {
            LinkedHashMap<String, Object> data = new LinkedHashMap<>();
            for (String feature : features) {
                Double stdev = model.getMaxValues().get(feature);
                Double mean = model.getMinValues().get(feature);
                Double value = Double.parseDouble(dataEntry.getValues().get(feature).toString());
                if (stdev != null && stdev != 0.0 && mean != null) {
                    value = (value - mean) / stdev;
                } else {
                    value = 1.0;
                }
                data.put("Standarized " + feature, value);
            }
            predictions.add(data);
        }

        PredictionResponse response = new PredictionResponse();
        response.setPredictions(predictions);

        return Response.ok(response).build();
    } catch (Exception ex) {
        LOG.log(Level.SEVERE, null, ex);
        return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(ex.getMessage()).build();
    }
}

From source file:org.jfree.data.xy.junit.MatrixSeriesCollectionTest.java

/**
 * Serialize an instance, restore it, and check for equality.
 *//*from   www .j  a  v  a 2  s  . co  m*/
public void testSerialization() {
    MatrixSeries s1 = new MatrixSeries("Series", 2, 3);
    s1.update(0, 0, 1.1);
    MatrixSeriesCollection c1 = new MatrixSeriesCollection();
    c1.addSeries(s1);
    MatrixSeriesCollection c2 = null;

    try {
        ByteArrayOutputStream buffer = new ByteArrayOutputStream();
        ObjectOutput out = new ObjectOutputStream(buffer);
        out.writeObject(c1);
        out.close();

        ObjectInput in = new ObjectInputStream(new ByteArrayInputStream(buffer.toByteArray()));
        c2 = (MatrixSeriesCollection) in.readObject();
        in.close();
    } catch (Exception e) {
        e.printStackTrace();
    }
    assertEquals(c1, c2);
}

From source file:com.splicemachine.derby.stream.spark.SparkExportDataSetWriter.java

@SuppressWarnings("unchecked")
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
    directory = in.readUTF();/*  ww w.  j  av a2s  .  c  o m*/
    exportFunction = (SpliceFunction2) in.readObject();
    rdd = (JavaRDD) in.readObject();
}

From source file:org.jfree.data.xy.junit.XYBarDatasetTest.java

/**
 * Serialize an instance, restore it, and check for equality.
 *///from   w  ww  .j  a v  a 2s.  c o  m
public void testSerialization() {
    DefaultXYDataset d1 = new DefaultXYDataset();
    double[] x1 = new double[] { 1.0, 2.0, 3.0 };
    double[] y1 = new double[] { 4.0, 5.0, 6.0 };
    double[][] data1 = new double[][] { x1, y1 };
    d1.addSeries("S1", data1);
    XYBarDataset bd1 = new XYBarDataset(d1, 5.0);
    XYBarDataset bd2 = null;
    try {
        ByteArrayOutputStream buffer = new ByteArrayOutputStream();
        ObjectOutput out = new ObjectOutputStream(buffer);
        out.writeObject(bd1);
        out.close();

        ObjectInput in = new ObjectInputStream(new ByteArrayInputStream(buffer.toByteArray()));
        bd2 = (XYBarDataset) in.readObject();
        in.close();
    } catch (Exception e) {
        e.printStackTrace();
    }
    assertEquals(bd1, bd2);
}

From source file:com.aol.advertising.qiao.util.cache.PersistentValueWrapper.java

@Override
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
    super.readExternal(in);
    this.expirationTime = in.readLong();
    this.key = (K) in.readObject();
    //System.out.println("<readExternal> " + toString()); //TODO: remove
}

From source file:org.jaqpot.algorithm.resource.Standarization.java

@POST
@Path("prediction")
public Response prediction(PredictionRequest request) {
    try {/*from  www .ja v a 2s. co  m*/
        if (request.getDataset().getDataEntry().isEmpty()
                || request.getDataset().getDataEntry().get(0).getValues().isEmpty()) {
            return Response
                    .status(Response.Status.BAD_REQUEST).entity(ErrorReportFactory
                            .badRequest("Dataset is empty", "Cannot make predictions on empty dataset"))
                    .build();
        }
        List<String> features = request.getDataset().getDataEntry().stream().findFirst().get().getValues()
                .keySet().stream().collect(Collectors.toList());
        String base64Model = (String) request.getRawModel();
        byte[] modelBytes = Base64.getDecoder().decode(base64Model);
        ByteArrayInputStream bais = new ByteArrayInputStream(modelBytes);
        ObjectInput in = new ObjectInputStream(bais);
        ScalingModel model = (ScalingModel) in.readObject();
        in.close();
        bais.close();

        List<LinkedHashMap<String, Object>> predictions = new ArrayList<>();

        for (DataEntry dataEntry : request.getDataset().getDataEntry()) {
            LinkedHashMap<String, Object> data = new LinkedHashMap<>();
            for (String feature : features) {
                Double stdev = model.getMaxValues().get(feature);
                Double mean = model.getMinValues().get(feature);
                Double value = Double.parseDouble(dataEntry.getValues().get(feature).toString());
                if (stdev != null && stdev != 0.0 && mean != null) {
                    value = (value - mean) / stdev;
                } else {
                    value = 1.0;
                }
                data.put("Standarized " + feature, value);
            }
            predictions.add(data);
        }

        PredictionResponse response = new PredictionResponse();
        response.setPredictions(predictions);

        return Response.ok(response).build();
    } catch (Exception ex) {
        LOG.log(Level.SEVERE, null, ex);
        return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(ex.getMessage()).build();
    }
}

From source file:com.splicemachine.derby.stream.spark.SparkScanSetBuilder.java

@Override
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
    super.readExternal(in);
    this.tableName = in.readUTF();
    this.dsp = (SparkDataSetProcessor) in.readObject();
}