blob: fa05bad94a02c3ccfeedd4d71c4fae9bf0ec0d43 [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.ignite.ml.genetic;
import java.util.ArrayList;
import java.util.List;
import org.apache.ignite.Ignite;
import org.apache.ignite.IgniteCache;
import org.apache.ignite.Ignition;
import org.apache.ignite.cache.query.QueryCursor;
import org.apache.ignite.cache.query.SqlFieldsQuery;
import org.apache.ignite.ml.genetic.parameter.GAConfiguration;
import org.apache.ignite.ml.genetic.parameter.GAGridConstants;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
/**
* Calculate Fitness Test
*/
public class GAGridCalculateFitnessTest {
/** Ignite instance */
private Ignite ignite;
/** GAGrid **/
private GAGrid gaGrid;
/** GAConfiguration */
private GAConfiguration gaCfg;
/**
* Setup test
*/
@Before
public void initialize() {
try {
// Create an Ignite instance as you would in any other use case.
ignite = Ignition.start();
// Create GAConfiguration
gaCfg = new GAConfiguration();
// set Gene Pool
List<Gene> genes = this.getGenePool();
gaCfg.setGenePool(genes);
// set the Chromosome Length to '8' since password contains 8 characters.
gaCfg.setChromosomeLen(8);
// create and set Fitness function
PasswordFitnessFunction function = new PasswordFitnessFunction();
gaCfg.setFitnessFunction(function);
gaGrid = new GAGrid(gaCfg, ignite);
gaGrid.initializeGenePopulation();
gaGrid.initializePopulation();
}
catch (Exception e) {
System.out.println(e.getMessage());
}
}
/**
* Test Calculate Fitness
*/
@Test
public void testCalculateFitness() {
try {
List<Long> chromosomeKeys = gaGrid.getPopulationKeys();
Boolean boolVal = this.ignite.compute().execute(new FitnessTask(this.gaCfg), chromosomeKeys);
IgniteCache<Long, Chromosome> populationCache = ignite.cache(GAGridConstants.POPULATION_CACHE);
String sql = "select count(*) from Chromosome where fitnessScore>0";
// Execute query to keys for ALL Chromosomes by fitnessScore
QueryCursor<List<?>> cursor = populationCache.query(new SqlFieldsQuery(sql));
List<List<?>> res = cursor.getAll();
Long cnt = 0L;
for (List row : res)
cnt = (Long)row.get(0);
assertEquals(500, cnt.longValue());
}
catch (Exception e) {
System.out.println(e.getMessage());
}
}
/**
* Helper routine to initialize Gene pool
*
* @return List of Genes
*/
private List<Gene> getGenePool() {
List<Gene> list = new ArrayList();
char[] chars = {
'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's',
't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '1', '2', '3', '4', '5', '6', '7', '8', '!', '"', '#', '$', '%', '&', '(', ')', '*', '+', '-', '.', '/', ':', ';', '<', '=', '>', '?', '@', '[', ']', '^'};
for (int i = 0; i < chars.length; i++) {
Gene gene = new Gene(chars[i]);
list.add(gene);
}
return list;
}
/**
* Stop the Ignite.
*/
@After
public void tearDown() {
Ignition.stop(true);
ignite = null;
}
}