Java 11 migraiton: master-worker-pattern
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@ -22,38 +22,39 @@
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THE SOFTWARE.
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-->
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>com.iluwatar</groupId>
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<artifactId>java-design-patterns</artifactId>
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<version>1.23.0-SNAPSHOT</version>
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</parent>
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<artifactId>master-worker-pattern</artifactId>
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<dependencies>
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<dependency>
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<groupId>org.junit.jupiter</groupId>
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<artifactId>junit-jupiter-engine</artifactId>
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<scope>test</scope>
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</dependency>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>com.iluwatar</groupId>
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<artifactId>java-design-patterns</artifactId>
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<version>1.23.0-SNAPSHOT</version>
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</parent>
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<artifactId>master-worker-pattern</artifactId>
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<dependencies>
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<dependency>
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<groupId>org.junit.jupiter</groupId>
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<artifactId>junit-jupiter-engine</artifactId>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-assembly-plugin</artifactId>
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<executions>
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<execution>
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<configuration>
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<archive>
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<manifest>
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<mainClass>com.iluwatar.masterworker.App</mainClass>
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</manifest>
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</archive>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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<build>
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<plugins>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-assembly-plugin</artifactId>
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<executions>
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<execution>
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<configuration>
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<archive>
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<manifest>
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<mainClass>com.iluwatar.masterworker.App</mainClass>
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</manifest>
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</archive>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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</project>
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@ -34,27 +34,25 @@ import org.slf4j.LoggerFactory;
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/**
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* <p>The <b><em>Master-Worker</em></b> pattern is used when the problem at hand can be solved by
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* dividing into
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* multiple parts which need to go through the same computation and may need to be aggregated to get
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* final result. Parallel processing is performed using a system consisting of a master and some
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* number of workers, where a master divides the work among the workers, gets the result back from
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* them and assimilates all the results to give final result. The only communication is between the
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* master and the worker - none of the workers communicate among one another and the user only
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* communicates with the master to get required job done.</p>
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* dividing into multiple parts which need to go through the same computation and may need to be
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* aggregated to get final result. Parallel processing is performed using a system consisting of a
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* master and some number of workers, where a master divides the work among the workers, gets the
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* result back from them and assimilates all the results to give final result. The only
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* communication is between the master and the worker - none of the workers communicate among one
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* another and the user only communicates with the master to get required job done.</p>
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* <p>In our example, we have generic abstract classes {@link MasterWorker}, {@link Master} and
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* {@link Worker} which
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* have to be extended by the classes which will perform the specific job at hand (in this case
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* finding transpose of matrix, done by {@link ArrayTransposeMasterWorker}, {@link
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* ArrayTransposeMaster} and {@link ArrayTransposeWorker}). The Master class divides the work into
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* parts to be given to the workers, collects the results from the workers and aggregates it when
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* all workers have responded before returning the solution. The Worker class extends the Thread
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* class to enable parallel processing, and does the work once the data has been received from the
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* Master. The MasterWorker contains a reference to the Master class, gets the input from the App
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* and passes it on to the Master. These 3 classes define the system which computes the result. We
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* also have 2 abstract classes {@link Input} and {@link Result}, which contain the input data and
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* result data respectively. The Input class also has an abstract method divideData which defines
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* how the data is to be divided into segments. These classes are extended by {@link ArrayInput} and
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* {@link ArrayResult}.</p>
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* {@link Worker} which have to be extended by the classes which will perform the specific job at
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* hand (in this case finding transpose of matrix, done by {@link ArrayTransposeMasterWorker},
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* {@link ArrayTransposeMaster} and {@link ArrayTransposeWorker}). The Master class divides the work
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* into parts to be given to the workers, collects the results from the workers and aggregates it
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* when all workers have responded before returning the solution. The Worker class extends the
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* Thread class to enable parallel processing, and does the work once the data has been received
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* from the Master. The MasterWorker contains a reference to the Master class, gets the input from
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* the App and passes it on to the Master. These 3 classes define the system which computes the
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* result. We also have 2 abstract classes {@link Input} and {@link Result}, which contain the input
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* data and result data respectively. The Input class also has an abstract method divideData which
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* defines how the data is to be divided into segments. These classes are extended by {@link
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* ArrayInput} and {@link ArrayResult}.</p>
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*/
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public class App {
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@ -68,12 +66,12 @@ public class App {
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*/
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public static void main(String[] args) {
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ArrayTransposeMasterWorker mw = new ArrayTransposeMasterWorker();
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int rows = 10;
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int columns = 20;
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int[][] inputMatrix = ArrayUtilityMethods.createRandomIntMatrix(rows, columns);
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ArrayInput input = new ArrayInput(inputMatrix);
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ArrayResult result = (ArrayResult) mw.getResult(input);
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var mw = new ArrayTransposeMasterWorker();
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var rows = 10;
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var columns = 20;
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var inputMatrix = ArrayUtilityMethods.createRandomIntMatrix(rows, columns);
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var input = new ArrayInput(inputMatrix);
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var result = (ArrayResult) mw.getResult(input);
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if (result != null) {
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ArrayUtilityMethods.printMatrix(inputMatrix);
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ArrayUtilityMethods.printMatrix(result.data);
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@ -25,6 +25,7 @@ package com.iluwatar.masterworker;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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/**
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* Class ArrayInput extends abstract class {@link Input} and contains data of type int[][].
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@ -37,12 +38,12 @@ public class ArrayInput extends Input<int[][]> {
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}
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static int[] makeDivisions(int[][] data, int num) {
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int initialDivision = data.length / num; //equally dividing
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int[] divisions = new int[num];
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var initialDivision = data.length / num; //equally dividing
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var divisions = new int[num];
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Arrays.fill(divisions, initialDivision);
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if (initialDivision * num != data.length) {
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int extra = data.length - initialDivision * num;
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int l = 0;
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var extra = data.length - initialDivision * num;
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var l = 0;
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//equally dividing extra among all parts
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while (extra > 0) {
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divisions[l] = divisions[l] + 1;
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@ -58,22 +59,20 @@ public class ArrayInput extends Input<int[][]> {
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}
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@Override
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public ArrayList<Input> divideData(int num) {
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public List<Input<int[][]>> divideData(int num) {
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if (this.data == null) {
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return null;
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} else {
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int[] divisions = makeDivisions(this.data, num);
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ArrayList<Input> result = new ArrayList<Input>(num);
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int rowsDone = 0; //number of rows divided so far
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for (int i = 0; i < num; i++) {
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int rows = divisions[i];
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var divisions = makeDivisions(this.data, num);
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var result = new ArrayList<Input<int[][]>>(num);
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var rowsDone = 0; //number of rows divided so far
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for (var i = 0; i < num; i++) {
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var rows = divisions[i];
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if (rows != 0) {
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int[][] divided = new int[rows][this.data[0].length];
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for (int j = 0; j < rows; j++) {
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divided[j] = this.data[rowsDone + j];
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}
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var divided = new int[rows][this.data[0].length];
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System.arraycopy(this.data, rowsDone, divided, 0, rows);
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rowsDone += rows;
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ArrayInput dividedInput = new ArrayInput(divided);
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var dividedInput = new ArrayInput(divided);
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result.add(dividedInput);
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} else {
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break; //rest of divisions will also be 0
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@ -47,8 +47,8 @@ public class ArrayUtilityMethods {
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if (a1.length != a2.length) {
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return false;
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} else {
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boolean answer = false;
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for (int i = 0; i < a1.length; i++) {
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var answer = false;
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for (var i = 0; i < a1.length; i++) {
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if (a1[i] == a2[i]) {
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answer = true;
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} else {
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@ -69,8 +69,8 @@ public class ArrayUtilityMethods {
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if (m1.length != m2.length) {
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return false;
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} else {
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boolean answer = false;
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for (int i = 0; i < m1.length; i++) {
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var answer = false;
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for (var i = 0; i < m1.length; i++) {
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if (arraysSame(m1[i], m2[i])) {
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answer = true;
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} else {
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@ -88,9 +88,9 @@ public class ArrayUtilityMethods {
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* @return it (int[][]).
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*/
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public static int[][] createRandomIntMatrix(int rows, int columns) {
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int[][] matrix = new int[rows][columns];
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for (int i = 0; i < rows; i++) {
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for (int j = 0; j < columns; j++) {
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var matrix = new int[rows][columns];
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for (var i = 0; i < rows; i++) {
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for (var j = 0; j < columns; j++) {
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//filling cells in matrix
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matrix[i][j] = RANDOM.nextInt(10);
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}
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@ -104,9 +104,9 @@ public class ArrayUtilityMethods {
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public static void printMatrix(int[][] matrix) {
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//prints out int[][]
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for (int i = 0; i < matrix.length; i++) {
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for (int j = 0; j < matrix[0].length; j++) {
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LOGGER.info(matrix[i][j] + " ");
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for (var ints : matrix) {
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for (var j = 0; j < matrix[0].length; j++) {
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LOGGER.info(ints[j] + " ");
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}
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LOGGER.info("");
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}
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@ -23,7 +23,7 @@
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package com.iluwatar.masterworker;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* The abstract Input class, having 1 public field which contains input data, and abstract method
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@ -40,5 +40,5 @@ public abstract class Input<T> {
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this.data = data;
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}
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public abstract ArrayList<Input> divideData(int num);
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public abstract List<Input<T>> divideData(int num);
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}
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@ -40,7 +40,7 @@ public abstract class MasterWorker {
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abstract Master setMaster(int numOfWorkers);
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public Result getResult(Input input) {
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public Result<?> getResult(Input<?> input) {
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this.master.doWork(input);
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return this.master.getFinalResult();
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}
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@ -27,7 +27,8 @@ import com.iluwatar.masterworker.ArrayResult;
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import com.iluwatar.masterworker.system.systemworkers.ArrayTransposeWorker;
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import com.iluwatar.masterworker.system.systemworkers.Worker;
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import java.util.ArrayList;
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import java.util.Enumeration;
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import java.util.stream.Collectors;
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import java.util.stream.IntStream;
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/**
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* Class ArrayTransposeMaster extends abstract class {@link Master} and contains definition of
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@ -41,35 +42,33 @@ public class ArrayTransposeMaster extends Master {
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@Override
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ArrayList<Worker> setWorkers(int num) {
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ArrayList<Worker> ws = new ArrayList<Worker>(num);
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for (int i = 0; i < num; i++) {
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ws.add(new ArrayTransposeWorker(this, i + 1));
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//i+1 will be id
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}
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return ws;
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//i+1 will be id
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return IntStream.range(0, num)
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.mapToObj(i -> new ArrayTransposeWorker(this, i + 1))
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.collect(Collectors.toCollection(() -> new ArrayList<>(num)));
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}
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@Override
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ArrayResult aggregateData() {
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// number of rows in final result is number of rows in any of obtained results from workers
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int rows = ((ArrayResult) this.getAllResultData()
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.get(this.getAllResultData().keys().nextElement())).data.length;
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int columns =
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0; //number of columns is sum of number of columns in all results obtained from workers
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for (Enumeration<Integer> e = this.getAllResultData().keys(); e.hasMoreElements(); ) {
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columns += ((ArrayResult) this.getAllResultData().get(e.nextElement())).data[0].length;
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var allResultData = this.getAllResultData();
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var rows = ((ArrayResult) allResultData.elements().nextElement()).data.length;
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var elements = allResultData.elements();
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var columns = 0; // columns = sum of number of columns in all results obtained from workers
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while (elements.hasMoreElements()) {
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columns += ((ArrayResult) elements.nextElement()).data[0].length;
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}
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int[][] resultData = new int[rows][columns];
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int columnsDone = 0; //columns aggregated so far
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for (int i = 0; i < this.getExpectedNumResults(); i++) {
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var resultData = new int[rows][columns];
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var columnsDone = 0; //columns aggregated so far
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var workers = this.getWorkers();
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for (var i = 0; i < this.getExpectedNumResults(); i++) {
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//result obtained from ith worker
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int[][] work =
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((ArrayResult) this.getAllResultData().get(this.getWorkers().get(i).getWorkerId())).data;
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for (int m = 0; m < work.length; m++) {
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var worker = workers.get(i);
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var workerId = worker.getWorkerId();
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var work = ((ArrayResult) allResultData.get(workerId)).data;
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for (var m = 0; m < work.length; m++) {
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//m = row number, n = columns number
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for (int n = 0; n < work[0].length; n++) {
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resultData[m][columnsDone + n] = work[m][n];
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}
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System.arraycopy(work[m], 0, resultData[m], columnsDone, work[0].length);
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}
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columnsDone += work[0].length;
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}
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@ -26,8 +26,9 @@ package com.iluwatar.masterworker.system.systemmaster;
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import com.iluwatar.masterworker.Input;
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import com.iluwatar.masterworker.Result;
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import com.iluwatar.masterworker.system.systemworkers.Worker;
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import java.util.ArrayList;
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import java.util.Dictionary;
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import java.util.Hashtable;
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import java.util.List;
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/**
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* The abstract Master class which contains private fields numOfWorkers (number of workers), workers
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@ -38,24 +39,24 @@ import java.util.Hashtable;
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public abstract class Master {
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private final int numOfWorkers;
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private final ArrayList<Worker> workers;
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private final List<Worker> workers;
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private final Dictionary<Integer, Result<?>> allResultData;
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private int expectedNumResults;
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private Hashtable<Integer, Result> allResultData;
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private Result finalResult;
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private Result<?> finalResult;
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Master(int numOfWorkers) {
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this.numOfWorkers = numOfWorkers;
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this.workers = setWorkers(numOfWorkers);
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this.expectedNumResults = 0;
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this.allResultData = new Hashtable<Integer, Result>(numOfWorkers);
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this.allResultData = new Hashtable<>(numOfWorkers);
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this.finalResult = null;
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}
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public Result getFinalResult() {
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public Result<?> getFinalResult() {
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return this.finalResult;
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}
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Hashtable<Integer, Result> getAllResultData() {
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Dictionary<Integer, Result<?>> getAllResultData() {
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return this.allResultData;
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}
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@ -63,21 +64,21 @@ public abstract class Master {
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return this.expectedNumResults;
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}
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ArrayList<Worker> getWorkers() {
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List<Worker> getWorkers() {
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return this.workers;
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}
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abstract ArrayList<Worker> setWorkers(int num);
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abstract List<Worker> setWorkers(int num);
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public void doWork(Input input) {
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public void doWork(Input<?> input) {
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divideWork(input);
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}
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private void divideWork(Input input) {
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ArrayList<Input> dividedInput = input.divideData(numOfWorkers);
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private void divideWork(Input<?> input) {
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List<? extends Input<?>> dividedInput = input.divideData(numOfWorkers);
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if (dividedInput != null) {
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this.expectedNumResults = dividedInput.size();
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for (int i = 0; i < this.expectedNumResults; i++) {
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for (var i = 0; i < this.expectedNumResults; i++) {
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//ith division given to ith worker in this.workers
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this.workers.get(i).setReceivedData(this, dividedInput.get(i));
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this.workers.get(i).run();
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@ -85,12 +86,12 @@ public abstract class Master {
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}
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}
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public void receiveData(Result data, Worker w) {
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public void receiveData(Result<?> data, Worker w) {
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//check if can receive..if yes:
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collectResult(data, w.getWorkerId());
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}
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private void collectResult(Result data, int workerId) {
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private void collectResult(Result<?> data, int workerId) {
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this.allResultData.put(workerId, data);
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if (this.allResultData.size() == this.expectedNumResults) {
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//all data received
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@ -98,5 +99,5 @@ public abstract class Master {
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}
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}
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abstract Result aggregateData();
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abstract Result<?> aggregateData();
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}
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@ -41,12 +41,12 @@ public class ArrayTransposeWorker extends Worker {
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@Override
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ArrayResult executeOperation() {
|
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//number of rows in result matrix is equal to number of columns in input matrix and vice versa
|
||||
ArrayInput arrayInput = (ArrayInput) this.getReceivedData();
|
||||
final int rows = arrayInput.data[0].length;
|
||||
final int cols = arrayInput.data.length;
|
||||
int[][] resultData = new int[rows][cols];
|
||||
for (int i = 0; i < cols; i++) {
|
||||
for (int j = 0; j < rows; j++) {
|
||||
var arrayInput = (ArrayInput) this.getReceivedData();
|
||||
final var rows = arrayInput.data[0].length;
|
||||
final var cols = arrayInput.data.length;
|
||||
var resultData = new int[rows][cols];
|
||||
for (var i = 0; i < cols; i++) {
|
||||
for (var j = 0; j < rows; j++) {
|
||||
//flipping element positions along diagonal
|
||||
resultData[j][i] = arrayInput.data[i][j];
|
||||
}
|
||||
|
@ -35,7 +35,7 @@ import com.iluwatar.masterworker.system.systemmaster.Master;
|
||||
public abstract class Worker extends Thread {
|
||||
private final Master master;
|
||||
private final int workerId;
|
||||
private Input receivedData;
|
||||
private Input<?> receivedData;
|
||||
|
||||
Worker(Master master, int id) {
|
||||
this.master = master;
|
||||
@ -47,23 +47,23 @@ public abstract class Worker extends Thread {
|
||||
return this.workerId;
|
||||
}
|
||||
|
||||
Input getReceivedData() {
|
||||
Input<?> getReceivedData() {
|
||||
return this.receivedData;
|
||||
}
|
||||
|
||||
public void setReceivedData(Master m, Input i) {
|
||||
public void setReceivedData(Master m, Input<?> i) {
|
||||
//check if ready to receive..if yes:
|
||||
this.receivedData = i;
|
||||
}
|
||||
|
||||
abstract Result executeOperation();
|
||||
abstract Result<?> executeOperation();
|
||||
|
||||
private void sendToMaster(Result data) {
|
||||
private void sendToMaster(Result<?> data) {
|
||||
this.master.receiveData(data, this);
|
||||
}
|
||||
|
||||
public void run() { //from Thread class
|
||||
Result work = executeOperation();
|
||||
var work = executeOperation();
|
||||
sendToMaster(work);
|
||||
}
|
||||
}
|
||||
|
@ -23,38 +23,39 @@
|
||||
|
||||
package com.iluwatar.masterworker;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import java.util.ArrayList;
|
||||
import static com.iluwatar.masterworker.ArrayUtilityMethods.matricesSame;
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
import java.util.Random;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
/**
|
||||
* Testing divideData method in {@link ArrayInput} class.
|
||||
*/
|
||||
* Testing divideData method in {@link ArrayInput} class.
|
||||
*/
|
||||
|
||||
class ArrayInputTest {
|
||||
|
||||
@Test
|
||||
void divideDataTest() {
|
||||
int rows = 10;
|
||||
int columns = 10;
|
||||
int[][] inputMatrix = new int[rows][columns];
|
||||
Random rand = new Random();
|
||||
for (int i = 0; i < rows; i++) {
|
||||
for (int j = 0; j < columns; j++) {
|
||||
var rows = 10;
|
||||
var columns = 10;
|
||||
var inputMatrix = new int[rows][columns];
|
||||
var rand = new Random();
|
||||
for (var i = 0; i < rows; i++) {
|
||||
for (var j = 0; j < columns; j++) {
|
||||
inputMatrix[i][j] = rand.nextInt(10);
|
||||
}
|
||||
}
|
||||
ArrayInput i = new ArrayInput(inputMatrix);
|
||||
ArrayList<Input> table = i.divideData(4);
|
||||
int[][] division1 = new int[][] {inputMatrix[0], inputMatrix[1], inputMatrix[2]};
|
||||
int[][] division2 = new int[][] {inputMatrix[3], inputMatrix[4], inputMatrix[5]};
|
||||
int[][] division3 = new int[][] {inputMatrix[6], inputMatrix[7]};
|
||||
int[][] division4 = new int[][] {inputMatrix[8], inputMatrix[9]};
|
||||
assertTrue(ArrayUtilityMethods.matricesSame((int[][]) table.get(0).data, division1)
|
||||
&& ArrayUtilityMethods.matricesSame((int[][]) table.get(1).data, division2)
|
||||
&& ArrayUtilityMethods.matricesSame((int[][]) table.get(2).data, division3)
|
||||
&& ArrayUtilityMethods.matricesSame((int[][]) table.get(3).data, division4));
|
||||
var i = new ArrayInput(inputMatrix);
|
||||
var table = i.divideData(4);
|
||||
var division1 = new int[][]{inputMatrix[0], inputMatrix[1], inputMatrix[2]};
|
||||
var division2 = new int[][]{inputMatrix[3], inputMatrix[4], inputMatrix[5]};
|
||||
var division3 = new int[][]{inputMatrix[6], inputMatrix[7]};
|
||||
var division4 = new int[][]{inputMatrix[8], inputMatrix[9]};
|
||||
assertTrue(matricesSame(table.get(0).data, division1)
|
||||
&& matricesSame(table.get(1).data, division2)
|
||||
&& matricesSame(table.get(2).data, division3)
|
||||
&& matricesSame(table.get(3).data, division4));
|
||||
}
|
||||
|
||||
}
|
||||
|
@ -23,27 +23,27 @@
|
||||
|
||||
package com.iluwatar.masterworker;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
/**
|
||||
* Testing utility methods in {@link ArrayUtilityMethods} class.
|
||||
*/
|
||||
* Testing utility methods in {@link ArrayUtilityMethods} class.
|
||||
*/
|
||||
|
||||
class ArrayUtilityMethodsTest {
|
||||
|
||||
@Test
|
||||
void arraysSameTest() {
|
||||
int[] arr1 = new int[] {1,4,2,6};
|
||||
int[] arr2 = new int[] {1,4,2,6};
|
||||
var arr1 = new int[]{1, 4, 2, 6};
|
||||
var arr2 = new int[]{1, 4, 2, 6};
|
||||
assertTrue(ArrayUtilityMethods.arraysSame(arr1, arr2));
|
||||
}
|
||||
|
||||
@Test
|
||||
void matricesSameTest() {
|
||||
int[][] matrix1 = new int[][] {{1,4,2,6},{5,8,6,7}};
|
||||
int[][] matrix2 = new int[][] {{1,4,2,6},{5,8,6,7}};
|
||||
var matrix1 = new int[][]{{1, 4, 2, 6}, {5, 8, 6, 7}};
|
||||
var matrix2 = new int[][]{{1, 4, 2, 6}, {5, 8, 6, 7}};
|
||||
assertTrue(ArrayUtilityMethods.matricesSame(matrix1, matrix2));
|
||||
}
|
||||
|
||||
|
@ -23,25 +23,38 @@
|
||||
|
||||
package com.iluwatar.masterworker.system;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import com.iluwatar.masterworker.ArrayUtilityMethods;
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
import com.iluwatar.masterworker.ArrayInput;
|
||||
import com.iluwatar.masterworker.ArrayResult;
|
||||
import com.iluwatar.masterworker.ArrayUtilityMethods;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
/**
|
||||
* Testing getResult method in {@link ArrayTransposeMasterWorker} class.
|
||||
*/
|
||||
* Testing getResult method in {@link ArrayTransposeMasterWorker} class.
|
||||
*/
|
||||
|
||||
class ArrayTransposeMasterWorkerTest {
|
||||
|
||||
@Test
|
||||
void getResultTest() {
|
||||
ArrayTransposeMasterWorker atmw = new ArrayTransposeMasterWorker();
|
||||
int[][] matrix = new int[][] {{1,2,3,4,5}, {1,2,3,4,5}, {1,2,3,4,5}, {1,2,3,4,5}, {1,2,3,4,5}};
|
||||
int[][] matrixTranspose = new int[][] {{1,1,1,1,1}, {2,2,2,2,2}, {3,3,3,3,3}, {4,4,4,4,4}, {5,5,5,5,5}};
|
||||
ArrayInput i = new ArrayInput(matrix);
|
||||
ArrayResult r = (ArrayResult) atmw.getResult(i);
|
||||
var atmw = new ArrayTransposeMasterWorker();
|
||||
var matrix = new int[][]{
|
||||
{1, 2, 3, 4, 5},
|
||||
{1, 2, 3, 4, 5},
|
||||
{1, 2, 3, 4, 5},
|
||||
{1, 2, 3, 4, 5},
|
||||
{1, 2, 3, 4, 5}
|
||||
};
|
||||
var matrixTranspose = new int[][]{
|
||||
{1, 1, 1, 1, 1},
|
||||
{2, 2, 2, 2, 2},
|
||||
{3, 3, 3, 3, 3},
|
||||
{4, 4, 4, 4, 4},
|
||||
{5, 5, 5, 5, 5}
|
||||
};
|
||||
var i = new ArrayInput(matrix);
|
||||
var r = (ArrayResult) atmw.getResult(i);
|
||||
assertTrue(ArrayUtilityMethods.matricesSame(r.data, matrixTranspose));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -23,29 +23,29 @@
|
||||
|
||||
package com.iluwatar.masterworker.system.systemworkers;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import com.iluwatar.masterworker.ArrayUtilityMethods;
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
import com.iluwatar.masterworker.ArrayInput;
|
||||
import com.iluwatar.masterworker.ArrayResult;
|
||||
import com.iluwatar.masterworker.ArrayUtilityMethods;
|
||||
import com.iluwatar.masterworker.system.systemmaster.ArrayTransposeMaster;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
/**
|
||||
* Testing executeOperation method in {@link ArrayTransposeWorker} class.
|
||||
*/
|
||||
* Testing executeOperation method in {@link ArrayTransposeWorker} class.
|
||||
*/
|
||||
|
||||
class ArrayTransposeWorkerTest {
|
||||
|
||||
@Test
|
||||
void executeOperationTest() {
|
||||
ArrayTransposeMaster atm = new ArrayTransposeMaster(1);
|
||||
ArrayTransposeWorker atw = new ArrayTransposeWorker(atm, 1);
|
||||
int[][] matrix = new int[][] {{2,4}, {3,5}};
|
||||
int[][] matrixTranspose = new int[][] {{2,3}, {4,5}};
|
||||
ArrayInput i = new ArrayInput(matrix);
|
||||
var atm = new ArrayTransposeMaster(1);
|
||||
var atw = new ArrayTransposeWorker(atm, 1);
|
||||
var matrix = new int[][]{{2, 4}, {3, 5}};
|
||||
var matrixTranspose = new int[][]{{2, 3}, {4, 5}};
|
||||
var i = new ArrayInput(matrix);
|
||||
atw.setReceivedData(atm, i);
|
||||
ArrayResult r = atw.executeOperation();
|
||||
var r = atw.executeOperation();
|
||||
assertTrue(ArrayUtilityMethods.matricesSame(r.data, matrixTranspose));
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user