List of usage examples for org.springframework.util ReflectionUtils findField
@Nullable public static Field findField(Class<?> clazz, String name)
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@Test public void testSelect() { MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); int populationSize = 100; double survivalRate = 0.9; Population population = new Population(); multigenerationalGeneticAlgorithm.setPopulation(population); GeneticAlgorithmStrategy strategyToSet = new GeneticAlgorithmStrategy(); strategyToSet.setPopulationSize(populationSize); strategyToSet.setSurvivalRate(survivalRate); Field strategyField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "strategy"); ReflectionUtils.makeAccessible(strategyField); ReflectionUtils.setField(strategyField, multigenerationalGeneticAlgorithm, strategyToSet); SelectionAlgorithm selectionAlgorithmMock = mock(SelectionAlgorithm.class); Field selectionAlgorithmField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "selectionAlgorithm"); ReflectionUtils.makeAccessible(selectionAlgorithmField); ReflectionUtils.setField(selectionAlgorithmField, multigenerationalGeneticAlgorithm, selectionAlgorithmMock);//ww w.ja va 2 s . com multigenerationalGeneticAlgorithm.select(); verify(selectionAlgorithmMock, times(1)).select(same(population), eq(populationSize), eq(survivalRate)); verifyNoMoreInteractions(selectionAlgorithmMock); }
From source file:com.ciphertool.zodiacengine.service.GeneticCipherSolutionServiceTest.java
@Test public void testTearDown() throws IOException { GeneticCipherSolutionService geneticCipherSolutionService = new GeneticCipherSolutionService(); Runtime runtimeMock = mock(Runtime.class); Field runtimeField = ReflectionUtils.findField(GeneticCipherSolutionService.class, "runtime"); ReflectionUtils.makeAccessible(runtimeField); ReflectionUtils.setField(runtimeField, geneticCipherSolutionService, runtimeMock); String[] commandsAfter = { "command1", "command2" }; geneticCipherSolutionService.setCommandsAfter(commandsAfter); geneticCipherSolutionService.tearDown(); verify(runtimeMock, times(1)).exec(eq("command1")); verify(runtimeMock, times(1)).exec(eq("command2")); verifyNoMoreInteractions(runtimeMock); }
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@SuppressWarnings("unchecked") @Test//from ww w. j a va 2 s . co m public void testCrossover() { MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); Population population = new Population(); FitnessEvaluator fitnessEvaluatorMock = mock(FitnessEvaluator.class); when(fitnessEvaluatorMock.evaluate(any(Chromosome.class))).thenReturn(DEFAULT_FITNESS_VALUE); population.setFitnessEvaluator(fitnessEvaluatorMock); Selector selectorMock = mock(Selector.class); population.setSelector(selectorMock); when(selectorMock.getNextIndex(anyListOf(Chromosome.class), any(Double.class))).thenReturn(0, 1, 2, 3, 4); int initialPopulationSize = 50; for (int i = 0; i < initialPopulationSize; i++) { population.addIndividual(new MockKeylessChromosome()); } multigenerationalGeneticAlgorithm.setPopulation(population); CrossoverAlgorithm crossoverAlgorithmMock = mock(CrossoverAlgorithm.class); Field crossoverAlgorithmField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "crossoverAlgorithm"); ReflectionUtils.makeAccessible(crossoverAlgorithmField); ReflectionUtils.setField(crossoverAlgorithmField, multigenerationalGeneticAlgorithm, crossoverAlgorithmMock); Chromosome chromosomeToReturn = new MockKeylessChromosome(); when(crossoverAlgorithmMock.crossover(any(Chromosome.class), any(Chromosome.class))) .thenReturn(Arrays.asList(chromosomeToReturn)); GeneticAlgorithmStrategy strategy = new GeneticAlgorithmStrategy(); strategy.setCrossoverRate(0.1); Field strategyField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "strategy"); ReflectionUtils.makeAccessible(strategyField); ReflectionUtils.setField(strategyField, multigenerationalGeneticAlgorithm, strategy); Field ineligibleForReproductionField = ReflectionUtils.findField(Population.class, "ineligibleForReproduction"); ReflectionUtils.makeAccessible(ineligibleForReproductionField); List<Chromosome> ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(0, ineligibleForReproductionFromObject.size()); int childrenProduced = multigenerationalGeneticAlgorithm.crossover(initialPopulationSize); ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(5, childrenProduced); /* * The population size should be reduced by the number of parents used * during crossover. */ assertEquals(40, population.size()); // There should be 10 ineligible parents, along with the 5 children assertEquals(15, ineligibleForReproductionFromObject.size()); verify(selectorMock, times(10)).getNextIndex(anyListOf(Chromosome.class), any(Double.class)); verify(crossoverAlgorithmMock, times(5)).crossover(any(Chromosome.class), any(Chromosome.class)); }
From source file:com.ciphertool.genetics.PopulationTest.java
@SuppressWarnings("unchecked") @Test/*from w w w . ja v a2 s . c om*/ public void testMakeIneligibleForReproduction() { Population population = new Population(); Field ineligibleForReproductionField = ReflectionUtils.findField(Population.class, "ineligibleForReproduction"); ReflectionUtils.makeAccessible(ineligibleForReproductionField); MockKeylessChromosome chromosome1 = new MockKeylessChromosome(); chromosome1.setFitness(5.0); population.addIndividual(chromosome1); chromosome1.setEvaluationNeeded(true); MockKeylessChromosome chromosome2 = new MockKeylessChromosome(); chromosome2.setFitness(5.0); population.addIndividual(chromosome2); Double fitnessSum = new Double(10.0); assertEquals(fitnessSum, population.getTotalFitness()); assertEquals(2, population.size()); fitnessSum -= chromosome1.getFitness(); population.makeIneligibleForReproduction(0); // Validate individuals List assertEquals(fitnessSum, population.getTotalFitness()); assertEquals(1, population.size()); assertSame(chromosome2, population.getIndividuals().get(0)); // Validate ineligible List List<Chromosome> ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(1, ineligibleForReproductionFromObject.size()); assertSame(chromosome1, ineligibleForReproductionFromObject.get(0)); fitnessSum -= chromosome2.getFitness(); population.makeIneligibleForReproduction(0); // Validate individuals List assertEquals(fitnessSum, population.getTotalFitness()); assertEquals(0, population.size()); // Validate ineligible List ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(2, ineligibleForReproductionFromObject.size()); assertSame(chromosome2, ineligibleForReproductionFromObject.get(1)); // Try to remove an individual that doesn't exist assertNull(population.removeIndividual(0)); }
From source file:com.ciphertool.sentencebuilder.etl.importers.FrequencyListImporterImplTest.java
@Test public void testBatchWordImportTask_LeftoversFromBatch() { FrequencyListImporterImpl frequencyListImporterImpl = new FrequencyListImporterImpl(); Word word1 = new Word(new WordId("george", PartOfSpeechType.NOUN), 100); Word word2 = new Word(new WordId("belden", PartOfSpeechType.NOUN), 200); Word word3 = new Word(new WordId("is", PartOfSpeechType.VERB_PARTICIPLE), 300); Word word4 = new Word(new WordId("super", PartOfSpeechType.ADJECTIVE), 400); Word word5 = new Word(new WordId("seriously", PartOfSpeechType.ADJECTIVE), 500); Word word6 = new Word(new WordId("awesome", PartOfSpeechType.ADJECTIVE), 600); List<Word> threadBatch = new ArrayList<Word>(); threadBatch.add(word1);/* w w w . ja v a 2 s . c om*/ threadBatch.add(word2); threadBatch.add(word3); threadBatch.add(word4); threadBatch.add(word5); threadBatch.add(word6); FrequencyListImporterImpl.BatchWordImportTask batchWordImportTask = frequencyListImporterImpl.new BatchWordImportTask( threadBatch); Field rowUpdateCountField = ReflectionUtils.findField(FrequencyListImporterImpl.class, "rowUpdateCount"); ReflectionUtils.makeAccessible(rowUpdateCountField); AtomicInteger rowUpdateCountFromObject = (AtomicInteger) ReflectionUtils.getField(rowUpdateCountField, frequencyListImporterImpl); assertEquals(0, rowUpdateCountFromObject.intValue()); Field rowInsertCountField = ReflectionUtils.findField(FrequencyListImporterImpl.class, "rowInsertCount"); ReflectionUtils.makeAccessible(rowInsertCountField); AtomicInteger rowInsertCountFromObject = (AtomicInteger) ReflectionUtils.getField(rowInsertCountField, frequencyListImporterImpl); assertEquals(0, rowInsertCountFromObject.intValue()); WordDao wordDaoMock = mock(WordDao.class); when(wordDaoMock.insertBatch(anyListOf(Word.class))).thenReturn(true); int persistenceBatchSizeToSet = 2; int concurrencyBatchSizeToSet = 3; frequencyListImporterImpl.setWordDao(wordDaoMock); frequencyListImporterImpl.setPersistenceBatchSize(persistenceBatchSizeToSet); frequencyListImporterImpl.setConcurrencyBatchSize(concurrencyBatchSizeToSet); Word wordFromDatabase1 = new Word(new WordId("george", PartOfSpeechType.NOUN)); Word wordFromDatabase2 = new Word(new WordId("belden", PartOfSpeechType.NOUN)); Word wordFromDatabase3 = new Word(new WordId("is", PartOfSpeechType.ADJECTIVE)); when(wordDaoMock.insertBatch(anyListOf(Word.class))).thenReturn(true); when(wordDaoMock.updateBatch(anyListOf(Word.class))).thenReturn(true); when(wordDaoMock.findByWordString(eq("george"))).thenReturn(Arrays.asList(wordFromDatabase1)); when(wordDaoMock.findByWordString(eq("belden"))).thenReturn(Arrays.asList(wordFromDatabase2)); when(wordDaoMock.findByWordString(eq("is"))).thenReturn( Arrays.asList(wordFromDatabase3)); when(wordDaoMock.findByWordString(eq("super"))).thenReturn(null); when(wordDaoMock.findByWordString(eq("seriously"))).thenReturn(null); when(wordDaoMock.findByWordString(eq("awesome"))).thenReturn(null); try { batchWordImportTask.call(); } catch (Exception e) { fail(e.getMessage()); } assertEquals(100, wordFromDatabase1.getFrequencyWeight()); assertEquals(200, wordFromDatabase2.getFrequencyWeight()); assertEquals(300, wordFromDatabase3.getFrequencyWeight()); rowUpdateCountFromObject = (AtomicInteger) ReflectionUtils.getField(rowUpdateCountField, frequencyListImporterImpl); rowInsertCountFromObject = (AtomicInteger) ReflectionUtils.getField(rowInsertCountField, frequencyListImporterImpl); assertEquals(3, rowUpdateCountFromObject.intValue()); assertEquals(3, rowInsertCountFromObject.intValue()); verify(wordDaoMock, times(2)).insertBatch(anyListOf(Word.class)); verify(wordDaoMock, times(2)).updateBatch(anyListOf(Word.class)); verify(wordDaoMock, times(6)).findByWordString(anyString()); }
From source file:com.ciphertool.genetics.PopulationTest.java
@SuppressWarnings("unchecked") @Test/* w w w .j a v a2s. c o m*/ public void testResetEligibility() { Population population = new Population(); Field ineligibleForReproductionField = ReflectionUtils.findField(Population.class, "ineligibleForReproduction"); ReflectionUtils.makeAccessible(ineligibleForReproductionField); FitnessEvaluator fitnessEvaluatorMock = mock(FitnessEvaluator.class); when(fitnessEvaluatorMock.evaluate(any(Chromosome.class))).thenReturn(DEFAULT_FITNESS_VALUE); population.setFitnessEvaluator(fitnessEvaluatorMock); Double fitnessSum = 0.0; assertEquals(fitnessSum, population.getTotalFitness()); assertEquals(0, population.size()); // Add a chromosome that needs evaluation MockKeylessChromosome chromosomeEvaluationNeeded = new MockKeylessChromosome(); chromosomeEvaluationNeeded.setFitness(5.0); chromosomeEvaluationNeeded.setEvaluationNeeded(true); population.addIndividualAsIneligible(chromosomeEvaluationNeeded); // Add a chromosome that doesn't need evaluation MockKeylessChromosome chromosomeEvaluationNotNeeded = new MockKeylessChromosome(); chromosomeEvaluationNotNeeded.setFitness(5.0); population.addIndividualAsIneligible(chromosomeEvaluationNotNeeded); List<Chromosome> ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); // Validate - this shouldn't affect the individuals List assertEquals(new Double(0.0), population.getTotalFitness()); verifyZeroInteractions(fitnessEvaluatorMock); assertEquals(0, population.size()); ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(2, ineligibleForReproductionFromObject.size()); assertSame(chromosomeEvaluationNeeded, ineligibleForReproductionFromObject.get(0)); assertSame(chromosomeEvaluationNotNeeded, ineligibleForReproductionFromObject.get(1)); population.resetEligibility(); assertEquals(0, ineligibleForReproductionFromObject.size()); fitnessSum = chromosomeEvaluationNeeded.getFitness() + chromosomeEvaluationNotNeeded.getFitness(); assertEquals(fitnessSum, population.getTotalFitness()); verify(fitnessEvaluatorMock, times(1)).evaluate(same(chromosomeEvaluationNeeded)); assertEquals(2, population.size()); assertSame(chromosomeEvaluationNeeded, population.getIndividuals().get(0)); assertSame(chromosomeEvaluationNotNeeded, population.getIndividuals().get(1)); }
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@SuppressWarnings("unchecked") @Test/*from ww w . ja v a2s . c o m*/ public void testCrossover_SmallPopulation() { MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); Population population = new Population(); Chromosome chromosome = new MockKeylessChromosome(); population.addIndividual(chromosome); multigenerationalGeneticAlgorithm.setPopulation(population); CrossoverAlgorithm crossoverAlgorithmMock = mock(CrossoverAlgorithm.class); Field crossoverAlgorithmField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "crossoverAlgorithm"); ReflectionUtils.makeAccessible(crossoverAlgorithmField); ReflectionUtils.setField(crossoverAlgorithmField, multigenerationalGeneticAlgorithm, crossoverAlgorithmMock); Field ineligibleForReproductionField = ReflectionUtils.findField(Population.class, "ineligibleForReproduction"); ReflectionUtils.makeAccessible(ineligibleForReproductionField); List<Chromosome> ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(0, ineligibleForReproductionFromObject.size()); int childrenProduced = multigenerationalGeneticAlgorithm.crossover(10); ineligibleForReproductionFromObject = (List<Chromosome>) ReflectionUtils .getField(ineligibleForReproductionField, population); assertEquals(1, population.size()); assertEquals(0, childrenProduced); assertEquals(0, ineligibleForReproductionFromObject.size()); verifyZeroInteractions(crossoverAlgorithmMock); }
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@Test public void testDeterminePairsToCrossover() { int initialPopulationSize = 100; Population populationMock = mock(Population.class); when(populationMock.size()).thenReturn(initialPopulationSize); MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); multigenerationalGeneticAlgorithm.setPopulation(populationMock); GeneticAlgorithmStrategy strategyToSet = new GeneticAlgorithmStrategy(); double crossoverRate = 0.5; strategyToSet.setCrossoverRate(crossoverRate); Field strategyField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "strategy"); ReflectionUtils.makeAccessible(strategyField); ReflectionUtils.setField(strategyField, multigenerationalGeneticAlgorithm, strategyToSet); long pairsToCrossover = multigenerationalGeneticAlgorithm.determinePairsToCrossover(initialPopulationSize); assertEquals(50, pairsToCrossover);//from w w w . j av a 2 s . c o m }
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@Test public void testDeterminePairsToCrossover_SmallPopulation() { int initialPopulationSize = 100; int actualPopulationSize = 50; Population populationMock = mock(Population.class); when(populationMock.size()).thenReturn(actualPopulationSize); MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); multigenerationalGeneticAlgorithm.setPopulation(populationMock); GeneticAlgorithmStrategy strategyToSet = new GeneticAlgorithmStrategy(); double crossoverRate = 0.5; strategyToSet.setCrossoverRate(crossoverRate); Field strategyField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "strategy"); ReflectionUtils.makeAccessible(strategyField); ReflectionUtils.setField(strategyField, multigenerationalGeneticAlgorithm, strategyToSet); long pairsToCrossover = multigenerationalGeneticAlgorithm.determinePairsToCrossover(initialPopulationSize); assertEquals(25, pairsToCrossover);// www .ja v a 2 s . c o m }
From source file:com.ciphertool.genetics.algorithms.MultigenerationalGeneticAlgorithmTest.java
@Test public void testMutate() { int initialPopulationSize = 100; int index = 0; Population populationMock = mock(Population.class); when(populationMock.selectIndex()).thenReturn(index); when(populationMock.getIndividuals()).thenReturn(Arrays.asList(mock(Chromosome.class))); when(populationMock.size()).thenReturn(initialPopulationSize); MultigenerationalGeneticAlgorithm multigenerationalGeneticAlgorithm = new MultigenerationalGeneticAlgorithm(); multigenerationalGeneticAlgorithm.setPopulation(populationMock); GeneticAlgorithmStrategy strategyToSet = new GeneticAlgorithmStrategy(); double mutationRate = 0.5; strategyToSet.setMutationRate(mutationRate); Field strategyField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "strategy"); ReflectionUtils.makeAccessible(strategyField); ReflectionUtils.setField(strategyField, multigenerationalGeneticAlgorithm, strategyToSet); MutationAlgorithm mutationAlgorithmMock = mock(MutationAlgorithm.class); Field mutationAlgorithmField = ReflectionUtils.findField(MultigenerationalGeneticAlgorithm.class, "mutationAlgorithm"); ReflectionUtils.makeAccessible(mutationAlgorithmField); ReflectionUtils.setField(mutationAlgorithmField, multigenerationalGeneticAlgorithm, mutationAlgorithmMock); multigenerationalGeneticAlgorithm.mutate(initialPopulationSize); verify(populationMock, times(50)).selectIndex(); verify(populationMock, times(50)).getIndividuals(); verify(populationMock, times(50)).makeIneligibleForReproduction(index); verify(populationMock, times(50)).addIndividualAsIneligible(any(Chromosome.class)); verify(populationMock, times(1)).size(); verifyNoMoreInteractions(populationMock); verify(mutationAlgorithmMock, times(50)).mutateChromosome(any(Chromosome.class)); verifyNoMoreInteractions(mutationAlgorithmMock); }