[JAVA-22519] Move articles from generic libraries module to specific library modules (#15416)
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panos-kakos
@@ -1,12 +0,0 @@
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package com.baeldung.jmh;
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import org.openjdk.jmh.annotations.Benchmark;
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public class BenchMark {
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@Benchmark
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public void init() {
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}
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}
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@@ -1,12 +0,0 @@
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package com.baeldung.jmh;
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import java.io.IOException;
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import org.openjdk.jmh.Main;
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import org.openjdk.jmh.runner.RunnerException;
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public class JmhDemo {
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public static void main(String[] args) throws RunnerException, IOException {
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Main.main(args);
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}
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}
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@@ -1,19 +0,0 @@
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package com.baeldung.jmh.warmup;
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public class MainApplication {
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static {
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long start = System.nanoTime();
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ManualClassLoader.load();
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long end = System.nanoTime();
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System.out.println("Warm Up time : " + (end - start));
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}
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public static void main(String[] args) {
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long start = System.nanoTime();
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ManualClassLoader.load();
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long end = System.nanoTime();
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System.out.println("Total time taken : " + (end - start));
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}
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}
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@@ -1,17 +0,0 @@
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package com.baeldung.jmh.warmup;
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import com.baeldung.jmh.warmup.dummy.Dummy;
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public class ManualClassLoader {
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public static void load() {
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for (int i = 0; i < 100000; i++) {
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// load all(or most) important classes
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Dummy dummy = new Dummy();
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dummy.m();
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}
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}
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}
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@@ -1,9 +0,0 @@
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package com.baeldung.jmh.warmup.dummy;
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public class Dummy {
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public void m() {
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}
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}
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@@ -1,73 +0,0 @@
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package com.baeldung.neuroph;
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import org.neuroph.core.Layer;
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import org.neuroph.core.NeuralNetwork;
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import org.neuroph.core.Neuron;
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import org.neuroph.core.data.DataSet;
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import org.neuroph.core.data.DataSetRow;
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import org.neuroph.nnet.learning.BackPropagation;
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import org.neuroph.util.ConnectionFactory;
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import org.neuroph.util.NeuralNetworkType;
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public class NeurophXOR {
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public static NeuralNetwork assembleNeuralNetwork() {
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Layer inputLayer = new Layer();
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inputLayer.addNeuron(new Neuron());
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inputLayer.addNeuron(new Neuron());
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Layer hiddenLayerOne = new Layer();
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hiddenLayerOne.addNeuron(new Neuron());
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hiddenLayerOne.addNeuron(new Neuron());
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hiddenLayerOne.addNeuron(new Neuron());
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hiddenLayerOne.addNeuron(new Neuron());
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Layer hiddenLayerTwo = new Layer();
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hiddenLayerTwo.addNeuron(new Neuron());
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hiddenLayerTwo.addNeuron(new Neuron());
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hiddenLayerTwo.addNeuron(new Neuron());
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hiddenLayerTwo.addNeuron(new Neuron());
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Layer outputLayer = new Layer();
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outputLayer.addNeuron(new Neuron());
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NeuralNetwork ann = new NeuralNetwork();
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ann.addLayer(0, inputLayer);
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ann.addLayer(1, hiddenLayerOne);
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ConnectionFactory.fullConnect(ann.getLayerAt(0), ann.getLayerAt(1));
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ann.addLayer(2, hiddenLayerTwo);
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ConnectionFactory.fullConnect(ann.getLayerAt(1), ann.getLayerAt(2));
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ann.addLayer(3, outputLayer);
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ConnectionFactory.fullConnect(ann.getLayerAt(2), ann.getLayerAt(3));
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ConnectionFactory.fullConnect(ann.getLayerAt(0), ann.getLayerAt(ann.getLayersCount() - 1), false);
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ann.setInputNeurons(inputLayer.getNeurons());
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ann.setOutputNeurons(outputLayer.getNeurons());
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ann.setNetworkType(NeuralNetworkType.MULTI_LAYER_PERCEPTRON);
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return ann;
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}
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public static NeuralNetwork trainNeuralNetwork(NeuralNetwork ann) {
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int inputSize = 2;
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int outputSize = 1;
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DataSet ds = new DataSet(inputSize, outputSize);
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DataSetRow rOne = new DataSetRow(new double[] { 0, 1 }, new double[] { 1 });
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ds.addRow(rOne);
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DataSetRow rTwo = new DataSetRow(new double[] { 1, 1 }, new double[] { 0 });
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ds.addRow(rTwo);
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DataSetRow rThree = new DataSetRow(new double[] { 0, 0 }, new double[] { 0 });
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ds.addRow(rThree);
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DataSetRow rFour = new DataSetRow(new double[] { 1, 0 }, new double[] { 1 });
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ds.addRow(rFour);
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BackPropagation backPropagation = new BackPropagation();
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backPropagation.setMaxIterations(1000);
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ann.learn(ds, backPropagation);
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return ann;
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}
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}
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@@ -1,49 +0,0 @@
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package com.baeldung.stm;
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import org.multiverse.api.StmUtils;
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import org.multiverse.api.callables.TxnCallable;
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import org.multiverse.api.references.TxnInteger;
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import org.multiverse.api.references.TxnLong;
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public class Account {
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private final TxnLong lastUpdate;
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private final TxnInteger balance;
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Account(final int balance) {
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this.lastUpdate = StmUtils.newTxnLong(System.currentTimeMillis());
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this.balance = StmUtils.newTxnInteger(balance);
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}
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Integer getBalance() {
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return balance.atomicGet();
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}
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void adjustBy(final int amount) {
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adjustBy(amount, System.currentTimeMillis());
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}
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private void adjustBy(final int amount, final long date) {
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StmUtils.atomic(() -> {
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balance.increment(amount);
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lastUpdate.set(date);
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if (balance.get() < 0) {
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throw new IllegalArgumentException("Not enough money");
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}
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});
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}
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void transferTo(final Account other, final int amount) {
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StmUtils.atomic(() -> {
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final long date = System.currentTimeMillis();
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adjustBy(-amount, date);
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other.adjustBy(amount, date);
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});
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}
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@Override
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public String toString() {
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return StmUtils.atomic((TxnCallable<String>) txn -> "Balance: " + balance.get(txn) + " lastUpdateDate: " + lastUpdate.get(txn));
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}
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}
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